title: AR Teleport: Digital Reconstruction of Historical and Cultural-Heritage Sites Using Mobile Augmented Reality

abstract: Many historical and cultural sites have been demolished due to reckless urban development projects. There have been many attempts to reconstruct damaged historical and cultural sites like Pimatgol, Cheonggyecheon, and the Sewoon shopping district in South Korea using digital technology, to revive their old glory. AR Teleport is a mobile-augmented-reality application for reconstructing such areas for mobile phones. The users can travel to the past from the present sites via AR Teleport, and can attempt rich movement-based interactions like jumping, blowing a breath, wiping with a finger, and touching buttons on a phone. In this study, how these rich interactions affect the interests and awareness level of the users was looked into. AR Teleport will open a new path of digital reconstruction for smartphones via rich interactions.


title: Employees' Behavior towards IS Security Policy Compliance

abstract: The literature agrees that the major threat to IS security is constituted by careless employees who do not comply with organizations' IS security policies and procedures. To address this concern, different approaches for ensuring employees' IS security policy compliance have been proposed. Prior research on IS security compliance has criticized these extant IS security awareness approaches as lacking theoretically and empirically grounded principles to ensure that employees comply with IS security policies. To fill this gap, this study proposes a theoretical model that contains the factors that explain employees' IS security policy compliance. Data (N=245) from a Finnish company provides empirical support for the model. The results suggest that information quality has a significant effect on actual IS security policy compliance. Employees' attitude, normative beliefs and habits have significant effect on intention to comply with IS security policy. Threat appraisal and facilitating conditions have significant impact on attitude towards complying, while coping appraisal does not have a significant effect on employees' attitude towards complying. Sanctions have insignificant effect on intention to comply with IS security policy and awards do not have a significant effect on actual compliance with IS security policy


title: Argumentation-Based Explanations in Recommender Systems: Conceptual Framework and Empirical Results

abstract: Explaining automatically generated recommendations has shown to be an effective means for supporting the user's decision-making process and increasing system transparency. However, present methods mostly provide non-personalized explanations that are presented in an unstructured manner. We propose a framework based on Toulmin's model designed to generate explanations in an argumentative style by presenting supportive as well as critical information about recommended items and their features. Existing research suggests that argumentative explanations cannot be assumed as equally effective for everyone. People rather tend to either apply rational or intuitive decision-making styles that determine which kinds of information are preferably taken into account. In an experimental user study, we investigated the effectiveness of argumentative explanations while considering the moderating effect of these two different cognitive styles. The results indicate that argumentative explanations, as compared to baseline methods, lead to, among others, increased perceived explanation quality, information sufficiency and overall satisfaction with the system. However, this seems only to be true for intuitive thinkers who rely more on explanations in complex decision situations as compared to rational thinkers.


title: Modeling Naive Psychology of Characters in Simple Commonsense Stories

abstract: Understanding a narrative requires reading between the lines and reasoning about the unspoken but obvious implications about events and people's mental states - a capability that is trivial for humans but remarkably hard for machines. To facilitate research addressing this challenge, we introduce a new annotation framework to explain naive psychology of story characters as fully-specified chains of mental states with respect to motivations and emotional reactions. Our work presents a new large-scale dataset with rich low-level annotations and establishes baseline performance on several new tasks, suggesting avenues for future research.


title: Digital technologies in everyday environments: Zooming in and out to children's and their families' smart device practices with public and private screens

abstract: Digital technologies have become more and more ubiquitous. The role of technology in our everyday has changed radically, shaping existing practices and facilitating new ones. Human Computer Interaction (HCI) research has recently interested in practice studies. Looking beyond novelty value of technology, practice studies try to understand how technology becomes integrated into everyday life and how it shapes everyday practices in longer timespan. This paper responds to the recent call for practice studies and utilizes Nicolini's toolbox approach for making sense of technology-facilitated practices of children and their families in their everyday life. We first zoom-in on children's practices with a multipurpose public display through an ethnographic field study, and then zoom-out to the children's and families' smart device practices through a diary study. We show that children's practices with public display were surprisingly similar with practices elsewhere. The contribution is 1) demonstrating the use of the toolkit approach, and 2) shedding light on children's and families' smart device practices in private and public settings.


title: Executive Function Deficits, Rumination and Late-Onset Depressive Symptoms in Older Adults

abstract: Empirical evidence indicates that late-onset depression (i.e., age of onset ≥60 years) is associated with executive function decline. This relationship suggests the possibility that executive dysfunction (ED) may contribute to depressive symptoms because it leads to decreased ability to inhibit ruminative thinking. This hypothesis was tested in a sample of 44 older adults reporting depressive symptoms with onset either late in adulthood or earlier in life. Consistent with hypotheses, older adults suffering from late onset, but not early onset, depressive symptoms showed an association between ED and depressive symptomatology. Furthermore, this selective relationship between ED and depressive symptomatology was mediated by ruminative tendencies. These results suggest that executive function deficits may contribute to late-onset of depressive symptoms by interfering with the ability to control ruminative thoughts.


title: Complications from toxins and fillers in the dermatology clinic: recognition, prevention, and treatment.

abstract: Adverse reactions and unintended effects can occasionally occur with toxins for cosmetic use, even although they generally have an outstanding safety profile. As the use of fillers becomes increasingly more common, adverse events can be expected to increase as well. This article discusses complication avoidance, addressing appropriate training and proper injection techniques, along with patient selection and patient considerations. In addition to complications, avoidance or amelioration of common adverse events is discussed.


Effects of communication styles on acceptance of recommendations in intercultural collaboration


title: The Distributional Inclusion Hypotheses And Lexical Entailment

abstract: This paper suggests refinements for the Distributional Similarity Hypothesis. Our proposed hypotheses relate the distributional behavior of pairs of words to lexical entailment -- a tighter notion of semantic similarity that is required by many NLP applications. To automatically explore the validity of the defined hypotheses we developed an inclusion testing algorithm for characteristic features of two words, which incorporates corpus and web-based feature sampling to overcome data sparseness. The degree of hypotheses validity was then empirically tested and manually analyzed with respect to the word sense level. In addition, the above testing algorithm was exploited to improve lexical entailment acquisition.


title: What Massive Open Online Course (MOOC) Stakeholders Can Learn From Learning Analytics?

abstract: Massive Open Online Courses (MOOCs) are the road that led to a revolution and a new era of learning environments. Educational institutions have come under pressure to adopt new models that assure openness in their education distribution. Nonetheless, there is still altercation about the pedagogical approach and the absolute information delivery to the students. On the other side with the use of Learning Analytics, powerful tools become available which mainly aim to enhance learning and improve learners performance. In this chapter, the development phases of a Learning Analytics prototype and the experiment of integrating it into a MOOC platform, called iMooX will be presented. This chapter explores how MOOC Stakeholders may benefit from Learning Analytics as well as it reports an exploratory analysis of some of the offered courses and demonstrate use cases as a typical evaluation of this prototype in order to discover hidden patterns, overture future proper decisions and to optimize learning with applicable and convenient interventions.


title: Analysis of Genetic Diversity and Population Structure in Horsegram (Macrotyloma uniflorum) Using RAPD and ISSR Markers

abstract: Macrotyloma uniflorum (horsegram) is an underutilized warm season pulse crop used as food and fodder in many semi arid regions of the world. In the present study, genetic structure and diversity of M. uniflorum was analysed using RAPD and ISSR markers. Two other species of the genus Macrotyloma namely M. axillare and M. sar-gharwalensis were also included to assess genetic inter-relationships. In total, 25 polymorphic primers amplified 156 fragments ranging in size from 300 to 3000 bp. Primer wise fragments ranged from 2 (OPR-20) to 13 (OPB-5, OPB-12 and OPS-14) with an average of 6.24 fragments per primer. Highest PIC value of 0.499 was recorded for primer OPR-20 and lowest (0.013) for primer OPR-2 with an average of 0.344. STRUCTURE analysis clustered accessions on the basis of their geographic origin and showed the presence of two distinct gene pools. Dendrogram based on Jaccards similarity coefficient also grouped the accessions into two groups and revealed that M. sar-gharwalensis is more distantly related to the cultivated than M. axillare. PCA analysis also confirmed clustering results shown by STRUCTURE. Partitioning of genetic variation using AMOVA revealed 63 % within population variation with only 37 % genetic variation among populations. Few horsegram accessions showed high levels of genetic diversity which can be exploited in crop breeding programmes for its genetic improvement.


title: Universal Deep Neural Network Compression

abstract: Compression of deep neural networks (DNNs) for memory- and computation-efficient compact feature representations becomes a critical problem particularly for deployment of DNNs on resource-limited platforms. In this paper, we investigate lossy compression of DNNs by weight quantization and lossless source coding for memory-efficient inference. Whereas the previous work addressed non-universal scalar quantization and entropy coding of DNN weights, we for the first time introduce universal DNN compression by universal vector quantization and universal source coding. In particular, we examine universal randomized lattice quantization of DNNs, which randomizes DNN weights by uniform random dithering before lattice quantization and can perform near-optimally on any source without relying on knowledge of its probability distribution. Entropy coding schemes such as Huffman codes require prior calculation of source statistics, which is computationally consuming. Instead, we propose universal lossless source coding schemes such as variants of Lempel-Ziv-Welch or the Burrows-Wheeler transform. Finally, we present the methods of fine-tuning vector quantized DNNs to recover the performance loss after quantization. Our experimental results show that the proposed universal DNN compression scheme achieves compression ratios of 124.80, 47.10 and 42.46 for LeNet5, 32-layer ResNet and AlexNet, respectively.


title: Allochthonous and autochthonous contributions to carbon accumulation and carbon store in southeastern Australian coastal wetlands

abstract: Estimates of carbon store and carbon accumulation rate in mangrove and saltmarsh are beset by issues of scale and provenance. Estimates at a site do not allow scaling to regional estimates if the drivers of variability are not known. Also, carbon accumulation within soils provides a net offset only if carbon is derived in-situ, or would not otherwise be sequestered. We use a network of observation sites extending across 2000 km of southeastern Australian coastline to determine the influence of geomorphic setting and coastal wetland vegetation type on rates of carbon accumulation, carbon store and probable sources. Carbon accumulation above feldspar marker horizons over a 10-year period was driven primarily by tidal range and position in the tidal frame, and was higher for mangrove and saltmarsh dominated by Juncus kraussii than for other saltmarsh communities. The rate of carbon loss with depth varied between geomorphic settings and was the primary determinant of carbon store. A down-core enrichment in d 13 C was consistent with an increased relative contribution of mangrove root material to soil carbon, as mangrove roots were found to be consistently enriched compared to leaves. We conclude that while surface carbon accumulation is driven primarily by tidal transport of allocthonous sediment, in-situ carbon sequestration is the dominant source of recalcitrant carbon, and that mangrove and saltmarsh carbon accumulation and store is high in temperate settings, particularly in mesotidal and fluvial geomorphic settings.


title: Congenital Methemoglobinemia due to Diaphorase Deficiency

abstract: A case of congenital methemoglobinemia due to diaphorase deficiency is presented. Recessive inheritance of this disorder was documented by a family study. In addition to congenital methemoglobinemia,


title: Farmers and Their Languages: The First Expansions

abstract: The largest movements and replacements of human populations since the end of the Ice Ages resulted from the geographically uneven rise of food production around the world. The first farming societies thereby gained great advantages over hunter-gatherer societies. But most of those resulting shifts of populations and languages are complex, controversial, or both. We discuss the main complications and specific examples involving 15 language families. Further progress will depend on interdisciplinary research that combines archaeology, crop and livestock studies, physical anthropology, genetics, and linguistics.


title: When mobile is harder than fixed (and vice versa): demystifying security challenges in mobile environments

abstract: Sophisticated consumer mobile devices continue to approach the capabilities and extensibility of traditional computing environments. Unfortunately, these new capabilities and applications make mobile devices an enticing target for attackers and malicious software. Due to such threats, the domain of mobile security has been getting a considerable amount of attention. However, current approaches have failed to consider key differences and their practical impact on the security of modern platforms when adopting techniques from non-mobile (or "fixed") environments. To help demystify mobile security and guide future research, we examine the unique challenges of mobile environments ranging from hardware to software to usability, delve in the diverse security models of current mobile platforms, and present our five commandments of mobile security research.


title: Social cohesion, structural holes, and a tale of two measures

abstract: In the social sciences, the debate over the structural foundations of social capital has long vacillated between two positions on the relative benefits associated with two types of social structures: closed structures, rich in third-party relationships, and open structures, rich in structural holes and brokerage opportunities. In this paper, we engage with this debate by focusing on the measures typically used for formalising the two conceptions of social capital: clustering and effective size. We show that these two measures are simply two sides of the same coin, as they can be expressed one in terms of the other through a simple functional relation. Building on this relation, we then attempt to reconcile closed and open structures by proposing a new measure, Simmelian brokerage, that captures opportunities of brokerage between otherwise disconnected cohesive groups of contacts. Implications of our findings for research on social capital and complex networks are discussed.


title: Implementation of stateful firewall using POX controller

abstract: Software Defined Networking is new emerging area of research. It is replacing current inflexible and complex networks with innovative and agile networks but the pace of replacement has been slow. In SDN they have decoupled the control and data plane. Openflow is most used protocol needed for communication between control and data plane. The main concern about slow adoption of SDN is security features provided by SDN Switches. Firewall is necessary part of current networks. You cannot think of secure network without using firewall. Already layer 2 and stateless firewalls are available in SDN but the main issue is that can we implement stateful firewall that keeps connection tracking information. In this paper we are implementing SDN stateful firewall using POX Controller. We tested our stateful firewall on mininet emulator as well as real hardware.


title: A low cost and high efficient acoustic modem for underwater sensor networks

abstract: Underwater wireless sensor Networks (UWSN) will provide a variety of attractive working fields such as aquaculture, offshore exploitation, biological monitoring as well as water and seafloor pollution, seismic activity and ocean currents. A practical implementation of these applications will require spreading an important number of nodes to facilitate underwater monitoring by means of data acquiring, so it becomes a challenge to develop simple and reliable modem architectures to reduce both the cost in components and the developing time, still being efficient and robust. Moreover power consumption must be also considered due to energy harvesting difficulties in an underwater environment. This work is focused in the design and implementation of a low cost and energy efficient underwater modem. The paper presents a new acoustic modem design based on an original signal-conditioning model optimally adapted to commercial echo sounder based piezoelectric transducers. It represents a very low-cost solution with a power consumption level similar to current terrestrial wireless sensor networks. The modulation and demodulation algorithms are essential to define the modem architecture. In this work, they have been adapted to a low power microcontroller processing capabilities. The proposed modem architecture includes an 8-bit microcontroller and few external analog components. A binary Coherent-FSK modulation has been chosen because it is more efficient in terms of bandwidth than a non-coherent FSK. Coherent FSK modulation algorithm is quite simple, and can be easily implemented in an 8-bit microcontroller with negligible execution time. Demodulation algorithm is more complex and needs a low-power solution. The paper investigates different alternatives, obtaining a new optimal solution including an additional specific processing unit to the microprocessor core. Compared with previous researches that used microcontrollers, the presented approach also improves energy efficiency without lowering bit rate and bandwidth efficiency. The design has a variable gain reception to measure precisely the incoming signal level and obtaining signal quality indicators similar to RSSI used in wireless RF sensor networks. The circuit has been simulated and experimentally tested too with a prototype. Several tests have been carried out using the different alternatives presented. The goal of the first experiments was to characterize the frequency response of the transducers, and validate acoustic wave generation and amplification models obtained by means of simulation. Measurements were also taken to obtain receiver sensitivity and communication efficiency to power variations. Efficient design of both power amplifier and receiver analog processing stages, combined with optimal microcontroller power saving modes has extended estimated battery. As a conclusion, a worthwhile modem has been designed with the following advantages: Ultra-Low power consumption, a small form factor and a low final cost which enable future low cost deployment of underwater sensor networks.


title: Phase-based Ranging of RFID Tags with Applications to Shopping Cart Localization

abstract: In this work, we investigate the problem of localizing RFID tags using a ranging method used in frequency-modulated radars. The idea is to exploit the phase change of the tag response due to frequency changes that normally happen as the RFID reader frequency hops. We demonstrate the general feasibility of this technique in ranging standard RFID tags using commodity readers. We then use it for a localization application - localizing shopping carts in supermarket aisles. We show that the ranging and localization accuracies are very good (median errors 5cm and 10cm respectively) even at distances over 4m making the technique competitive with existing techniques that require more complex set up.


title: Radial Sets: Interactive Visual Analysis of Large Overlapping Sets

abstract: In many applications, data tables contain multi-valued attributes that often store the memberships of the table entities to multiple sets such as which languages a person masters, which skills an applicant documents, or which features a product comes with. With a growing number of entities, the resulting element-set membership matrix becomes very rich of information about how these sets overlap. Many analysis tasks targeted at set-typed data are concerned with these overlaps as salient features of such data. This paper presents Radial Sets, a novel visual technique to analyze set memberships for a large number of elements. Our technique uses frequency-based representations to enable quickly finding and analyzing different kinds of overlaps between the sets, and relating these overlaps to other attributes of the table entities. Furthermore, it enables various interactions to select elements of interest, find out if they are over-represented in specific sets or overlaps, and if they exhibit a different distribution for a specific attribute compared to the rest of the elements. These interactions allow formulating highly-expressive visual queries on the elements in terms of their set memberships and attribute values. As we demonstrate via two usage scenarios, Radial Sets enable revealing and analyzing a multitude of overlapping patterns between large sets, beyond the limits of state-of-the-art techniques.


title: Advancing PubMed? A comparison of third-party PubMed/Medline tools

abstract: Purpose ::: ::: ::: ::: ::: Systematic reviews of biomedical literature are used to inform patient treatment. Yet the acquisition of relevant literature is proving increasingly challenging due to the large volume of information that needs to be searched, filtered and collocated. There is a need to improve the efficiency of biomedical literature searches. PubMed remains the primary resource for biomedical literature, and as PubMed makes the Medline data and Entrez PubMed Programming utilities freely available, any developer can produce alternative tools to search the database. The authors question if PubMed still provides the superior search interface for systematic searches or if the innovativeness of third-party tools provide alternatives worth considering. The paper aims to discuss these issues. ::: ::: ::: ::: ::: Design/methodology/approach ::: ::: ::: ::: ::: In all, 76 third-party tools that build on PubMed content were identified in a PubMed search and in published studies known to the authors. Only tools that provided free access to the broad PubMed content and designed specifically to enhance the search were included, reducing the set to 16 tools. The functionality of each tool within the scenario of a systematic search was compared across 11 aspects. A systematic search in PubMed was used as study control. ::: ::: ::: ::: ::: Findings ::: ::: ::: ::: ::: The 16 tools limited rather than advanced the sorting, filtering, and export functionality required in a systematic search. The reproducibility of the searches in these sources was reduced. The study shows that PubMed remains the superior provider for searching, identifying, and exporting biomedical literature for systematic reviews. ::: ::: ::: ::: ::: Originality/value ::: ::: ::: ::: ::: The work contributes to the discussion of how librarians can help researchers navigate the biomedical literature in systematic reviews.


title: Pyridinium derivatives of histamine are potent activators of cytosolic carbonic anhydrase isoforms I, II and VII.

abstract: A series of positively-charged derivatives has been prepared by reaction of histamine with substituted pyrylium salts. These pyridinium histamine derivatives were investigated as activators of the zinc enzyme carbonic anhydrase (CA, EC 4.2.1.1) and more precisely the human isoforms hCA I, II and VII. Activities from the subnanomolar to the micromolar range were detected for these compounds as activators of the three isoforms, confirming the validity of current and previous designs. The substitution pattern at the pyridinium ring was the main factor influencing activity, the three isoforms showing different structural requirements for good activity, related with the number of pyridinium substituting groups and their nature, among various alkyl, phenyl and para-substituted styryl moieties. We were successful in identifying nanomolar potent and selective activators for each isozyme and also activators with a relatively good activity against all isozymes tested--valuable lead compounds for physiology and pathology studies involving these isozymes.


title: Kinetics of HIV-1 capsid uncoating revealed by single-molecule analysis

abstract: Viruses need to enter their host’s cells in order to replicate their genetic material and produce more copies of the virus. A protein shell called a capsid protects the virus during this journey. But the structure of the capsid presents a mystery. How can this protein shell be strong enough to remain intact as it enters a host cell, and yet quickly open up to release the viral genome after replication? Unlike the capsids of many other viruses, those of HIV have irregular structures that rapidly fall apart once removed from the virus. This has thwarted attempts to study intact HIV capsids in order to understand how they work. However, we do know that HIV hijacks a range of molecules produced by the invaded host cell. Dissecting their effects on the capsid is key to understanding how the capsid disassembles. Marquez et al. have now developed a method that can visualize individual HIV capsids – and how they disassemble – in real time using single-molecule microscopy. This revealed that capsids differ widely in their stability. The shell remains closed for a variable period of time and then collapses catastrophically as soon as it loses its first subunit. Using the new technique, Marquez et al. also found that a small molecule drug called PF74 causes the capsid to crack open rapidly, but the remaining shell is then stabilized against further disassembly. These observations reconcile seemingly contradictory observations made by different research groups about how this drug affects the stability of the capsid. The method developed by Marquez et al. enables researchers to measure how molecules produced by host cells interact with the viral capsid, a structure that is fundamental for the virus to establish an infection. It could also be used to test the effects of antiviral drugs that have been designed to target the capsid. The new technique has already been instrumental in related research by Mallery et al., which identifies a molecule found in host cells that stabilizes the capsid of HIV.


title: An optimised version of CCITT ADPCM and echo canceller for VSAT network

abstract: Tremendous interest is currently devoted to the development of VSAT (Very Small Aperture Terminal) network architectures providing voice communications in addition to data. In order to provide good voice communication, an efficient and cost effective voice interface becomes necessary. A DSP implementation often provides a desired solution of realising a low bit rate voice coder and an echo canceller effectively. This paper describes an effective implementation of CCITT G726 voice coder with optimisations (specific to the ISD-16/sup */ VSAT Network) and an echo canceller on a single DSP. Chip TMS320C25. The speech coder is an ADPCM coder and the echo canceller uses NLMS (normalised least mean squared algorithm with block update).


title: Step-emulsification in a microfluidic device

abstract: We present a comprehensive study of the step-emulsification process for high-throughput production of colloidal monodisperse droplets. The 'microfluidic step emulsifier' combines a shallow microchannel operating with two co-flowing immiscible fluids and an abrupt (step-like) opening to a deep and wide reservoir. Based on Hele-Shaw hydrodynamics, we determine the quasi-static shape of the fluid interface prior to transition to oscillatory step-emulsification at low capillary numbers. The theoretically derived transition threshold yields an excellent agreement with experimental data. A closed-form expression for the size of the droplets generated in the step-emulsification regime and derived using geometric arguments also shows a very good agreement with the experiment.


title: MARS: A Personalised Mobile Activity Recognition System

abstract: Mobile activity recognition focuses on inferring the current activities of a mobile user by leveraging the sensory data that is available on today's smart phones. The state of the art in mobile activity recognition uses traditional classification techniques. Thus, the learning process typically involves: i) collection of labelled sensory data that is transferred and collated in a centralised repository, ii) model building where the classification model is trained and tested using the collected data, iii) a model deployment stage where the learnt model is deployed on-board a mobile device for identifying activities based on new sensory data. In this paper, we demonstrate the Mobile Activity Recognition System (MARS) where for the first time the model is built and continuously updated on-board the mobile device itself using data stream mining. The advantages of the on-board approach are that it allows model personalisation and increased privacy as the data is not sent to any external site. Furthermore, when the user or its activity profile changes MARS enables quick model adaptation. One of the stand out features of MARS is that training/updating the model takes less than 30 seconds per activity. MARS has been implemented on the Android platform to demonstrate that it can achieve accurate mobile activity recognition. Moreover, we can show in practice that MARS quickly adapts to user profile changes while at the same time being scalable and efficient in terms of consumption of the device resources.


title: Depth estimation from single monocular images using deep hybrid network

abstract: Depth estimation is a significant task in the robotics vision. In this paper, we address the depth estimation from a single monocular image, which is a challenging problem in automated vision systems since a single image alone does not carry any additional measurements. To tackle our main objective, we design a deep hybrid neural network, which is composed of convolutional and recurrent layers (ReNet), where each ReNet layer is composed of the Long Short-Term Memory unit (LSTM), which is famous for the ability to memorize long-range context. In the proposed network, ReNet layers aim to enrich the features representation by directly capturing global context. The effective integration of ReNet and convolutional layers in the common CNN framework allows us to train the hybrid network in the end-to-end fashion. Experimental evaluation on the benchmarks dataset demonstrated, that hybrid network achieves the state-of-the-art results without any post-processing steps. Moreover, the composition of recurrent and convolutional layers provide more satisfying results.


title: Counterfactual Fairness

abstract: Machine learning can impact people with legal or ethical consequences when it is used to automate decisions in areas such as insurance, lending, hiring, and predictive policing. In many of these scenarios, previous decisions have been made that are unfairly biased against certain subpopulations, for example those of a particular race, gender, or sexual orientation. Since this past data may be biased, machine learning predictors must account for this to avoid perpetuating or creating discriminatory practices. In this paper, we develop a framework for modeling fairness using tools from causal inference. Our definition of counterfactual fairness captures the intuition that a decision is fair towards an individual if it the same in (a) the actual world and (b) a counterfactual world where the individual belonged to a different demographic group. We demonstrate our framework on a real-world problem of fair prediction of success in law school.


title: Active drifters: Towards a practical multi-robot system for ocean monitoring

abstract: We propose a method for controlling multiple active drifters in the presence of external forcing induced by the ocean. Our active drifters have one actuator: they can lower and raise their drogues in depth. By exploiting the vertically stratified nature of ocean currents, we show how classical multi-robot tasks (spreading out and aggregation) can be accomplished by the multi-drifter system. Tests with a realistic simulation based on an ocean model suggest that a practical implementation of active drifters which aggregate and disperse in the coastal ocean could be realized through our control method with relatively inexpensive components. Specifically, we are able to show that over a 90 day deployment a significant fraction of drifters can be made to aggregate in few clusters suitable for recovery.


title: Psychologic Outcomes in Implant Prosthodontics

abstract: Consensus regarding outcomes of the treatment of tooth loss, especially the psychologic outcomes, is needed to guide discovery of best practices and enable a better understanding of patient management for this chronic condition. This paper presents the findings of the ORONet Psychological Working Group for prosthodontics and aims to identify psychologic outcomes with properties deemed critical to meet clinical trial and clinical practice needs for the future. References obtained using a PubMed/Medline search were reviewed for clinical outcomes measures of interest. Clinical outcomes measures were judged relative to the criteria of truth, discrimination, and feasibility. Of the psychologic outcome measures identified in this systematic review, only the OHIP-14 was thought to be suitable for use in general practice and multi-institutional outcome registries and clinical trials. Development of clinically useful psychologic outcomes for future use could benefit from developmental methods and tools outlined in the patient-related outcomes field of clinical care.


title: Conformation-dependent swinging of the matrix loop m2 of the mitochondrial Saccharomyces cerevisiae ADP/ATP carrier.

abstract: Structure-function relationships of the membrane-embedded Saccharomyces cerevisiae mitochondrial ADP/ATP carrier were investigated through two independent approaches, namely, limited proteolysis and cysteine labeling. Experiments were carried out in the presence of either carboxyatractyloside (CATR) or bongkrekic acid (BA), two specific inhibitors of the ADP/ATP transport that bind to two distinct conformers involved in the translocation process. The proteolysis approach allowed us to demonstrate (i) that N- and C-terminal extremities of ADP/ATP carrier are facing the intermembrane space and (ii) that the central region of the carrier corresponding to the matrix loop m2 is accessible to externally added trypsin in a conformation-sensitive manner, being cleaved at the Lys163-Gly164 and Lys178-Thr179 bonds in the carrier-CATR and the carrier-BA complexes, respectively. The cysteine labeling approach was carried out on the S161C mutant of the ADP/ATP carrier. This variant of the carrier is fully active, displaying nucleotide transport kinetic parameters and inhibitor binding properties similar to that of wild-type carrier. Alkylation experiments, carried out on mitochondria with the nonpermeable reagents eosin-5-maleimide and iodoacetamidyl-3,6-dioxaoctanediamine-biotin, showed that Cys 161 is accessible from the outside in the carrier-CATR complex, whereas it is masked in the carrier-BA complex. Taken together, our results indicate that the matrix loop m2 connecting the transmembrane helices H3 to H4 intrudes to some extent into the inner mitochondrial membrane. Its participation in the translocation of ADP/ATP is strongly suggested, based on the finding that its accessibility to reagents added outside mitochondria is modified according to the conformational state of the carrier.


SAS Global Forum 2012 Posters Paper 204-2012 Easily Add Significance Testing to your Market Basket Analysis in


title: Natural Language Processing and Information Retrieval

abstract: Information retrieval addresses the problem of finding those documents whose content matches a user's request from among a large collection of documents. Currently, the most successful general purpose retrieval methods are statistical methods that treat text as little more than a bag of words. However, attempts to improve retrieval performance through more sophisticated linguistic processing have been largely unsuccessful. Indeed, unless done carefully, such processing can degrade retrieval effectiveness. ::: ::: Several factors contribute to the difficulty of improving on a good statistical baseline including: the forgiving nature but broad coverage of the typical retrieval task; the lack of good weighting schemes for compound index terms; and the implicit linguistic processing inherent in the statistical methods. Natural language processing techniques may be more important for related tasks such as question answering or document summarization.


title: Automatic learning of gait signatures for people identification

abstract: This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of convolutional neural networks (CNN) for learning high-level descriptors from low-level motion features (i.e. optical flow components). We carry out a thorough experimental evaluation of the proposed CNN architecture on the challenging TUM-GAID dataset. The experimental results indicate that using spatio-temporal cuboids of optical flow as input data for CNN allows to obtain state-of-the-art results on the gait task with an image resolution eight times lower than the previously reported results (i.e. 80x60 pixels).


The Adaptive Lasso and Its Oracle Properties


Convolution-based Time Optimal Path Planning for a High Curvature Bezier Curve Considering Possible Physical Limits


title: The accuracy of prognostic scoring systems for post-operative morbidity and mortality in patients with perforated peptic ulcer

abstract: Background: To determine the accuracy of Boey score, American society of anesthesiologists (ASA) score, peptic ulcer perforation (PULP) score and the mannheim peritonitis index (MPI) score and compare each predicted scoring systems for prediction the morbidity and mortality of patients with perforated peptic ulcer. Methods: We retrospectively reviewed the patients with gastric or duodenal ulcer perforation in Bhumibol Adulyadej Hospital, Bangkok, Thailand between 1 January 2008 and 31 December 2012. The morbidity and mortality within 30 days of the PPU patient who underwent the surgical procedure was determined. The predicted scoring systems included Boey score, ASA score, PULP score and MPI score were calculated. We used area under curve of receiver operating characteristics curve to compare the scoring accuracy. Results: The study included 140 patients, Female 17.9% and male 82.1%. The mean age was 48.5 years. The most common site of PPU was the pre-pyloric region (80%). The most common operative procedure was the simple suture with omental graft. The complication rate was 20.71%. Overall mortality rate was 3.57%. The AUC for morbidity prediction was 0.671 for Boey score, 0.684 for ASA score, 0.698 for MPI score and 0.727 for PULP score. The AUC for mortality prediction was 0.728 for Boey score, 0.776 for ASA score, 0.771 for MPI score and 0.784 for PULP score. Conclusions: The PULP score may be the better prognostic scoring system for post-operative morbidity and mortality of PPU patient than Boey score, ASA and MPI.


title: Zigbee-based intelligent street lighting system

abstract: A novel scheme for a Zigbee-based street light control is proposed with an aim to reduce the human error in the operation of street lights, decrease the energy consumption of the system, and ease the maintenance of the street light network. These objectives are achieved by creating a wireless Zigbee network of street lights that can be monitored from a base station. A new scheme that provides for the operation of alternate lights during low traffic hours, dusk and dawn has been devised. Additionally, an automatic mode of operation that utilizes light sensors to automatically switch ON street lights when light intensity falls below a certain level, has also been incorporated. The scheme was implemented, and a small scale working model was developed.


title: MARKETING EFFECTIVENESS BY WAY OF METRICS

abstract: Every company should be able to demonstrate own efficiency and effectiveness by used metrics or other processes and standards. Businesses may be missing a direct comparison with competitors in the industry, which is only possible using appropriately chosen instruments, whether financial or non-financial. The main purpose of this study is to describe and compare the approaches of the individual authors. to find metric from reviewed studies which organization use to measuring own marketing activities with following separating into financial metrics and non-financial metrics. The paper presents advance in useable metrics, especially financial and non-financial metrics. Selected studies, focusing on different branches and different metrics, were analyzed by the authors. The results of the study is describing relevant metrics to prove efficiency in varied types of organizations in connection with marketing effectiveness. The studies also outline the potential methods for further research focusing on the application of metrics in a diverse environment. The study contributes to a clearer idea of how to measure performance and effectiveness.


title: A probabilistic approach to modeling and estimating the QoS of web-services-based workflows

abstract: Web services promise to become a key enabling technology for B2B e-commerce. One of the most-touted features of Web services is their capability to recursively construct a Web service as a workflow of other existing Web services. The quality of service (QoS) of Web-services-based workflows may be an essential determinant when selecting constituent Web services and determining the service-level agreement with users. To make such a selection possible, it is essential to estimate the QoS of a WS workflow based on the QoSs of its constituent WSs. In the context of WS workflow, this estimation can be made by a method called QoS aggregation. While most of the existing work on QoS aggregation treats the QoS as a deterministic value, we argue that due to some uncertainty related to a WS, it is more realistic to model its QoS as a random variable, and estimate the QoS of a WS workflow probabilistically. In this paper, we identify a set of QoS metrics in the context of WS workflows, and propose a unified probabilistic model for describing QoS values of a broader spectrum of atomic and composite Web services. Emulation data are used to demonstrate the efficiency and accuracy of the proposed approach.


title: Infrastructure for Detecting Android Malware

abstract: Malware for smartphones have sky-rocketed these last years, particularly for Android platforms. To tackle this threat, services such as Google Bouncer have intended to counter-attack. However, it has been of short duration since the malware have circumvented the service by changing their behaviors. Therefore, we propose a malware taxonomy, a survey of attack vectors to better understand the Android malware, a survey of the modus-operandi of attackers for infecting the smartphones, and the design of components that are responsible for analyzing and detecting Android malware of the NEMESYS infrastructure. This infrastructure aims at understanding and detecting attacks both at the network and smartphone level.


title: A model for web-based course registration systems

abstract: Purpose – University students use web-based course registration systems to search, select, and register to courses. Despite having an important role at universities, course registration systems often pose usability problems to users. In this project, the authors assessed the usability of a web-based course registration system, proposed an improved model for such systems, and evaluated the model. The paper aims to discuss these issues. Design/methodology/approach – The authors conducted a series of user studies to achieve the objectives. First, the authors performed a usability study to evaluate the course registration system at MacEwan University (myStudentSystem). Based on the study results, the authors designed and developed a prototype that addresses the limitations of the system. Second, the authors conducted a usability test to get feedback on the prototype and improve its design features accordingly. Finally, the authors performed a summative evaluation to assess the usability of the prototype and m...


title: Scalable Stochastic Alternating Direction Method of Multipliers

abstract: Stochastic alternating direction method of multipliers (ADMM), which visits only one sample or a mini-batch of samples each time, has recently been proved to achieve better performance than batch ADMM. However, most stochastic methods can only achieve a convergence rate $O(1/\sqrt T)$ on general convex problems,where T is the number of iterations. Hence, these methods are not scalable with respect to convergence rate (computation cost). There exists only one stochastic method, called SA-ADMM, which can achieve convergence rate $O(1/T)$ on general convex problems. However, an extra memory is needed for SA-ADMM to store the historic gradients on all samples, and thus it is not scalable with respect to storage cost. In this paper, we propose a novel method, called scalable stochastic ADMM(SCAS-ADMM), for large-scale optimization and learning problems. Without the need to store the historic gradients, SCAS-ADMM can achieve the same convergence rate $O(1/T)$ as the best stochastic method SA-ADMM and batch ADMM on general convex problems. Experiments on graph-guided fused lasso show that SCAS-ADMM can achieve state-of-the-art performance in real applications


title: Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

abstract: In this work, we share our experiences made at the world-wide first CYBATHLON, an event organized by the Eidgenossische Technische Hochschule Zurich (ETH Zurich), which took place in Zurich in October 2016. It is a championship for severely motor impaired people using assistive prototype devices to compete against each other. Our team, the Graz BCI Racing Team MIRAGE91 from Graz University of Technology, participated in the discipline “Brain-Computer Interface Race”. A brain-computer interface (BCI) is a device facilitating control of applications via the user’s thoughts. Prominent applications include assistive technology such as wheelchairs, neuroprostheses or communication devices. In the CYBATHLON BCI Race, pilots compete in a BCI-controlled computer game. We report on setting up our team, the BCI customization to our pilot including long term training and the final BCI system. Furthermore, we describe CYBATHLON participation and analyze our CYBATHLON result. We found that our pilot was compliant over the whole time and that we could significantly reduce the average runtime between start and finish from initially 178 s to 143 s. After the release of the final championship specifications with shorter track length, the average runtime converged to 120 s. We successfully participated in the qualification race at CYBATHLON 2016, but performed notably worse than during training, with a runtime of 196 s. We speculate that shifts in the features, due to the nonstationarities in the electroencephalogram (EEG), but also arousal are possible reasons for the unexpected result. Potential counteracting measures are discussed. The CYBATHLON 2016 was a great opportunity for our student team. We consolidated our theoretical knowledge and turned it into practice, allowing our pilot to play a computer game. However, further research is required to make BCI technology invariant to non-task related changes of the EEG.


title: Social Emotions. A Challenge for Sentiment Analysis and User Models

abstract: The work overviews the theoretical models of emotions mainly used by computer scientists in the area of user modeling and sentiment analysis. Central in this regard are the dimensional models in which the body side is crucial, and the cognitive ones in which the evaluation processes give rise to emotions. Special attention is devoted to a socio-cognitive model of emotions in terms of goals and beliefs, focusing on social emotions, both related to image (admiration, bitterness, enthusiasm) and to self-image (pride, shame). Nature, function, and typical body signals of these emotions are overviewed.


title: Computer and Video Game Addiction—A Comparison between Game Users and Non-Game Users

abstract: Background: Computer game addiction is excessive or compulsive use of computer and video games that may interfere with daily life. It is not clear whether video game playing meets diagnostic criteria for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). Objectives: First objective is to review the literature on computer and video game addiction over the topics of diagnosis, phenomenology, epidemiology, and treatment. Second objective is to describe a brain imaging study measuringdopaminereleaseduringcomputergameplaying.Methods: Article search of 15 published articles between 2000 and 2009 in Medline and PubMed on computer and video game addiction. Nine abstinent “ecstasy” users and 8 control subjects were scanned at baseline and after performing on a motorbike riding computer gamewhileimagingdopaminereleaseinvivowith[123I]IBZMand single photon emission computed tomography (SPECT). Results: Psycho-physiological mechanisms underlying computer game addiction are mainly stress coping mechanisms, emotional reactions, sensitization, and reward. Computer game playing may lead to long-term changes in the reward circuitry that resemble the effects of substance dependence. The brain imaging study showed that healthy control subjects had reduced dopamine D2 receptor occupancy of 10.5% in the caudate after playing a motorbike riding computer game compared with baseline levels of binding consistent with increased release and binding to its receptors. Ex-chronic “ecstasy” users showed no change in levels of dopamine D2 receptor occupancy after playing this game. Conclusion: This evidence supports the notion that psycho-stimulant users have decreased sensitivity to natural reward. Significance: Computer game addicts or gamblers may show reduced dopamine response to stimuli associated with their addiction presumably due to sensitization.


Crenosoma microbursa n. sp. from the skunk.


title: Object-oriented convolutional features for fine-grained image retrieval in large surveillance datasets

abstract: Large scale visual surveillance generates huge volumes of data at a rapid pace, giving rise to massive image repositories. Efficient and reliable access to relevant data in these ever growing databases is a highly challenging task due to the complex nature of surveillance objects. Furthermore, inter-class visual similarity between vehicles requires extraction of fine-grained and highly discriminative features. In recent years, features from deep convolutional neural networks (CNN) have exhibited state-of-the-art performance in image retrieval. However, these features have been used without regard to their sensitivity to objects of a particular class. In this paper, we propose an object-oriented feature selection mechanism for deep convolutional features from a pre-trained CNN. Convolutional feature maps from a deep layer are selected based on the analysis of their responses to surveillance objects. The selected features serve to represent semantic features of surveillance objects and their parts with minimal influence of the background, effectively eliminating the need for background removal procedure prior to features extraction. Layer-wise mean activations from the selected features maps form the discriminative descriptor for each object. These object-oriented convolutional features (OOCF) are then projected onto low-dimensional hamming space using locality sensitive hashing approaches. The resulting compact binary hash codes allow efficient retrieval within large scale datasets. Results on five challenging datasets reveal that OOCF achieves better precision and recall than the full feature set for objects with varying backgrounds. Proposed to represent vehicle images with appropriate convolutional features.Our method reduces number of feature maps without performance degradation.Selected features yield better retrieval performance than the full feature set.


title: The documentation and reintegration of a lost past

abstract: Abstract. The paper describes how new digital methodologies can be used within the field of Cultural Heritage, not only with the aim of documenting the actual state of an architecture but to review the past transformations it has undergone, conserving and representing these histories as well. Over the last few years, the methodologies of acquisition and integrated representation for 3D patrimony documentation have developed and consolidated considerably: the possibilities of the digital realm can augment the understanding and the valorisation of a monument. The specific case offered in the present paper, the Scuola Vecchia della Misericordia in Venice, is a significant example. It suggests not only the theme of the "no longer existing" regarding its facade, which has undergone evident modifications, but also the recontextualization of a number of decorative elements, such as the bas-reliefs which once marked the entrance and are today conserved in the Victoria and Albert Museum, London. The described experience shows how integrated methodology, from high resolution laser scanning and photogrammetric survey to 3d modelling, can develop a reliably virtual diachronical reconstruction from different sources of an historical building. Geomatic tools combined with computer graphics provide a better understanding of building history through the use historical documents, playing a paramount role in preserving and valorizing the cultural and environmental heritage.


title: Combining events and threads for scalable network services implementation and evaluation of monadic, application-level concurrency primitives

abstract: This paper proposes to combine two seemingly opposed programming models for building massively concurrent network services: the event-driven model and the multithreaded model. The result is a hybrid design that offers the best of both worlds--the ease of use and expressiveness of threads and the flexibility and performance of events. This paper shows how the hybrid model can be implemented entirely at the application level using concurrency monads in Haskell, which provides type-safe abstractions for both events and threads. This approach simplifies the development of massively concurrent software in a way that scales to real-world network services. The Haskell implementation supports exceptions, symmetrical multiprocessing, software transactional memory, asynchronous I/O mechanisms and application-level network protocol stacks. Experimental results demonstrate that this monad-based approach has good performance: the threads are extremely lightweight (scaling to ten million threads), and the I/O performance compares favorably to that of Linux NPTL. tens of thousands of simultaneous, mostly-idle client connections. Such massively-concurrent programs are difficult to implement, especially when other requirements, such as high performance and strong security, must also be met.


title: How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data

abstract: We propose a practical methodology to protect a user's private data, when he wishes to publicly release data that is correlated with his private data, in the hope of getting some utility. Our approach relies on a general statistical inference framework that captures the privacy threat under inference attacks, given utility constraints. Under this framework, data is distorted before it is released, according to a privacy-preserving probabilistic mapping. This mapping is obtained by solving a convex optimization problem, which minimizes information leakage under a distortion constraint. We address a practical challenge encountered when applying this theoretical framework to real world data: the optimization may become untractable and face scalability issues when data assumes values in large size alphabets, or is high dimensional. Our work makes two major contributions. We first reduce the optimization size by introducing a quantization step, and show how to generate privacy mappings under quantization. Second, we evaluate our method on a dataset showing correlations between political views and TV viewing habits, and demonstrate that good privacy properties can be achieved with limited distortion so as not to undermine the original purpose of the publicly released data, e.g. recommendations.


title: OntoRich - A support tool for semi-automatic ontology enrichment and evaluation

abstract: This paper presents the OntoRich framework, a support tool for semi-automatic ontology enrichment and evaluation. The WordNet is used to extract candidates for dynamic ontology enrichment from RSS streams. With the integration of OpenNLP the system gains access to syntactic analysis of the RSS news. The enriched ontologies are evaluated against several qualitative metrics.


title: Analysis of Ethernet AVB for automotive networks using Network Calculus

abstract: Future functions of vehicles to make driving safer, more comfortable and more exciting rely on suitable in-vehicle networks. Legacy Ethernet extended by AVB to meet recent and future requirements is discussed as a proper candidate. Investigation of its forwarding, synchronization and resource reservation mechanisms are an important prerequisite for the object: The progressive vehicle integration unleashing its whole potential as an in-vehicle network. This paper focuses on AVB's forwarding policy by using Network Calculus as a theory for calculating worst case delays.


title: Self-Calibration of Stationary Cameras

abstract: A new practical method is given for the self-calibration of a camera. In this method, at least three images are taken from the same point in space with different orientations of the camera and calibration is computed from an analysis of point matches between the images. The method requires no knowledge of the orientations of the camera. Calibration is based on the image correspondences only. This method differs fundamentally from previous results by Maybank and Faugeras on self-calibration using the epipolar structure of image pairs. In the method of this paper, there is no epipolar structure since all images are taken from the same point in space, and so Maybank and Faugeras's method does not apply. Since the images are all taken from the same point in space, determination of point matches is considerably easier than for images taken with a moving camera, since problems of occlusion or change of aspect or illumination do not occur.A non-iterative calibration algorithm is given that works with any number of images. An iterative refinement method that may be used with noisy data is also described. The algorithm is implemented and validated on several sets of synthetic and real image data.


title: Information-Centric Networking based Caching and Naming Schemes for Internet of Things: A Survey and Future Research Directions

abstract: Information-Centric Networking (ICN) is being realized as a promising approach to accomplish the shortcomings of current IP-address based networking. ICN models are based on naming the content to get rid of address-space scarcity, accessing the content via name-based-routing, caching the content at intermediate nodes to provide reliable, efficient data delivery and self-certifying contents to ensure better security. Obvious benefits of ICN in terms of fast and efficient data delivery and improved reliability raises ICN as highly promising networking model for Internet of Things (IoTs) like environments. IoT aims to connect anyone and/or anything at any time by any path on any place but some IoTs like smart phones may not. From last decade, IoTs attracts both industry and research communities. IoTs is an emerging research field and still in its infancy. IoTs foremost target is to connect efficiently billions of things in a way to reduce human involvement in the operation of machines. While IoT wild-deployment puts many challenges, among others, one challenge is how to address efficiently so many heterogeneous and constraint-oriented devices. Thus, this paper presents the promise of ICN for IoTs by providing state-of-the-art literature in this context. We provide IoTs major components involved during its life-cycle and list required features for IoT network architecture. We present major ICN architectures and their applicability for IoTs. We survey ICN based naming and caching approaches for IoTs with appropriate classification and furthermore present OSs and simulators for ICN-IoT. We also provide important research challenges and issues faced by ICN for IoTs.


title: Cancer risk assessment, indicators, and guidelines for polycyclic aromatic hydrocarbons in the ambient air.

abstract: Polycyclic aromatic hydrocarbons (PAHs) are formed during incomplete combustion. Domestic wood burning and road traffic are the major sources of PAHs in Sweden. In Stockholm, the sum of 14 different PAHs is 100-200 ng/m(3) at the street-level site, the most abundant being phenanthrene. Benzo[a]pyrene (B[a]P) varies between 1 and 2 ng/m(3). Exposure to PAH-containing substances increases the risk of cancer in humans. The carcinogenicity of PAHs is associated with the complexity of the molecule, i.e., increasing number of benzenoid rings, and with metabolic activation to reactive diol epoxide intermediates and their subsequent covalent binding to critical targets in DNA. B[a]P is the main indicator of carcinogenic PAHs. Fluoranthene is an important volatile PAH because it occurs at high concentrations in ambient air and because it is an experimental carcinogen in certain test systems. Thus, fluoranthene is suggested as a complementary indicator to B[a]P. The most carcinogenic PAH identified, dibenzo[a,l]pyrene, is also suggested as an indicator, although it occurs at very low concentrations. Quantitative cancer risk estimates of PAHs as air pollutants are very uncertain because of the lack of useful, good-quality data. According to the World Health Organization Air Quality Guidelines for Europe, the unit risk is 9 X 10(-5) per ng/m(3) of B[a]P as indicator of the total PAH content, namely, lifetime exposure to 0.1 ng/m(3) would theoretically lead to one extra cancer case in 100,000 exposed individuals. This concentration of 0.1 ng/m(3) of B[a]P is suggested as a health-based guideline. Because the carcinogenic potency of fluoranthene has been estimated to be approximately 20 times less than that of B[a]P, a tentative guideline value of 2 ng/m(3) is suggested for fluoranthene. Other significant PAHs are phenanthrene, methylated phenanthrenes/anthracenes and pyrene (high air concentrations), and large-molecule PAHs such as dibenz[a,h]anthracene, benzo[b]fluoranthene, benzo[k]fluoranthene, and indeno[1,2,3-cd]pyrene (high carcinogenicity). Additional source-specific indicators are benzo[ghi]perylene for gasoline vehicles, retene for wood combustion, and dibenzothiophene and benzonaphthothiophene for sulfur-containing fuels.


title: FP-Growth Algorithm for Application in Research of Market Basket Analysis

abstract: During the process of mining frequent item sets, when minimum support is little, the production of candidate sets is a kind of time-consuming and frequent operation in the mining algorithm. The FP growth algorithm does not need to produce the candidate sets, the database which provides the frequent item set is compressed to a frequent pattern tree (or FP tree), and frequent item set is mining by using of FP tree. For the sake of researching market basket analysis, the frequent-pattern is introduced, Visual C++ is applied to design the program to mine the frequent item sets. In view of the frequent K-item set, the various results are contrasted, the goods which is sell possibly at the same time in the supermarket is arranged in the same place.


title: Design and Analysis of UHF Micropower CMOS DTMOST Rectifiers

abstract: Design and analysis of ultrahigh-frequency (UHF) micropower rectifiers based on a diode-connected dynamic threshold MOSFET (DTMOST) is discussed. An analytical design model for DTMOST rectifiers is derived based on curve-fitted diode equation parameters. Several DTMOST six-stage charge-pump rectifiers were designed and fabricated using a CMOS 0.18-mum process with deep n-well isolation. Measured results verified the design model with average accuracy of 10.85% for an input power level between -4 and 0 dBm. At the same time, three other rectifiers based on various types of transistors were fabricated on the same chip. The measured results are compared with a Schottky diode solution.


title: RULE-BASED SEGMENTATION OF LIDAR POINT CLOUD FOR AUTOMATIC EXTRACTION OF BUILDING ROOF PLANES

abstract: This paper presents a new segmentation technique for LIDAR point cloud data for automatic extraction of building roof planes. Using the ground height from a DEM (Digital Elevation Model), the raw LIDAR points are separated into two groups: ground and nonground points. The ground points are used to generate a ‘building mask’ in which the black areas represent the ground where there are no laser returns below a certain height. The non-ground points are segmented to extract the planar roof segments. First, the building mask is divided into small grid cells. The cells containing the black pixels are clustered such that each cluster represents an individual building or tree. Second, the non-ground points within a cluster are segmented based on their coplanarity and neighbourhood relations. Third, the planar segments are refined using a rule-based procedure that assigns the common points among the planar segments to the appropriate segments. Finally, another rule-based procedure is applied to remove tree planes which are small in size and randomly oriented. Experimental results on the Vaihingen data set show that the proposed method offers high building detection and roof plane extraction rates.


title: Tracking Control of Ball and Plate System with a Double Feedback Loop Structure

abstract: This paper proposes a double feedback loop structure for tracking control of the ball and plate system on the experimental platform BPVS-JLU I. The ball and plate system BPVS-JLU I is introduced and its mathematical model is presented. A single input rule modules fuzzy logic controller with dynamic importance degree is utilized in the external loop, while a switching servo controller is used in the inner loop. Experiments have proved that tracking controller with a double feedback loop structure does stabilize the ball and plate system. When given trajectory is a circle with radius 150 (mm) and the desired ball tracking velocity is 3 (mm/s), average position tracking error is 10.761 (mm).


title: Perseverance in self-perception and social perception: Biased attributional processes in the debriefing paradigm.

abstract: Two experiments demonstrated that self-perceptions and social perceptions may persevere after the initial basis for such perceptions has been completely discredited. In both studies subjects first received false feedback, indicating that they had either succeeded or failed on a novel discrimination task and then were thoroughly debriefed concerning the predetermined and random nature of this outcome manipulation. In experiment 2, both the initial outcome manipulation and subsequent debriefing were watched and overheard by observers. Both actors and observers showed substantial perseverance of initial impressions concerning the actors' performance and abilities following a standard "outcome" debriefing. "Process" debriefing, in which explicit discussion of the perseverance process was provided, generally proved sufficient to eliminate erroneous self-perceptions. Biased attribution processes that might underlie perserverance phenomena and the implications of the present data for the ethical conduct of deception research are discussed.


title: Photocatalytic conversion of NO using TiO2–NH3 catalysts in ambient air environment

abstract: Abstract Photocatalytic conversion of nitric oxide (NO) in ambient air was studied in a continuous-flow photoreactor system at room temperature using different TiO 2 catalysts prepared with different titanium precursors of Ti(SO 4 ) 2 , TiOSO 4 , and Ti(O-Bu) 4 by either a moderate-temperature hydrothermal process or a hydrothermal reflux process. The physicochemical properties of the prepared catalysts were characterized by XRD, BET, FTIR, and SEM. Analytical results showed that the crystallinity, morphology, nitrogen adsorption–desorption isotherms, specific surface area, and pore size distribution of catalysts were significantly affected by the precursors and hydrothermal processes, but the crystal structure and crystal size of catalysts were not significantly influenced. The NO conversion experiments demonstrated that the TiO 2 catalysts prepared by the moderate-temperature hydrothermal process without ammonia pretreatment could effectively reduce NO to different low levels, in which the catalysts with longer aging time of more than 12 h performed better than the catalysts with shorter aging time. However, it was found that the NO 2 concentration in outlet gas was gradually increased with extension of an experimental period. Two TiO 2 catalysts (TOSO-NH 3 and TOB-NH 3 ) prepared by the hydrothermal reflux process with ammonia pretreatment demonstrated a very good performance in NO conversion and also maintained a low level of NO 2 concentration in outlet gas. This study indicated that using the TiO 2 catalysts modified with ammonia pretreatment in photocatalytic reaction could provide a good approach to effectively eliminate the accumulation of NO 2 product from NO oxidation in the system and to achieve a sustainable process, which may be applicable for NO elimination in ambient air environment.


title: The Sforzesco brace and SPoRT concept: A brace to replace cast in worst curves

abstract: PURPOSE ::: Bracing still remains the most important conservative treatment for scoliosis; approaches to bracing are really many and diverse. The aim of this paper of this paper, is the presentation of the brace we recently developed (the Sforzesco brace and SPoRT concept) to face worst scoliosis, in the past treated through casting. ::: ::: ::: METHODS ::: The SPoRT concept was born while we were looking for a new brace; it means Symmetric, Patient oriented, Rigid, Three-dimensional and Active. Details of construction and the biomechanical principle of its corrective action are reported. This brace has been used widely in the last 3 years. ::: ::: ::: RESULTS ::: The Sforzesco brace showed to be more effective than the Lyon brace and as effective as the Risser cast on different clinical and radiological outcome measures in 2 different prospective study of best clinical practice. ::: ::: ::: CONCLUSION ::: When compared to the other braces, the Sforzesco can find its place in the most important curves, in which there are no alternatives to try avoiding surgery. The SPoRT Concept appear a useful tool to interpret what happens with this brace, even if in the future could be overcome by new theories according to new (and awaited) results in the literature.


title: Concentric Malar Lift in the Management of Lower Eyelid Rejuvenation or Retraction: A Clinical Retrospective Study on 342 Cases, 13 Years After the First Publication

abstract: BACKGROUND ::: Lower eyelid rejuvenation can, unfortunately, induce scleral show even if the lower eyelid procedure is limited. This study was designed to assess the effectiveness and reliability of the concentric malar lift technique in two scenarios: the first, in rejuvenation of the mid-face and, the second, in reconstructive surgery for correction of congenital or acquired eyelids malposition. ::: ::: ::: METHODS ::: The concentric malar lift technique was first published by Le Louarn (Aesthet Plast Surg 28(6):359-372, 2004). This retrospective study was carried out by analyzing data on patients operated on between January 2010 and January 2016. Patients operated on before 2010 were excluded because barbed thread sutures were not used in the first version of the technique. Patients after January 2016 were excluded to ensure adequate follow-up, and so 342 patients are included in the study. A total of 256 cases (75%) were for aesthetic mid-face lifting, and 86 cases (25%) were reconstructive surgeries for lower eyelid retraction. A spacer graft was used in 30 of these reconstructive cases (35%). The mean follow-up time was 13.6 months. All the concentric malar lifting procedures included strengthening the lateral canthus, which is a key element of the procedure. ::: ::: ::: RESULTS ::: None of the patients developed secondary eyelid malposition, and all the cases of lower eyelid retraction displayed marked improvement both functionally and aesthetically. Two patients experienced loss of sensitivity of part in the infra-orbital nerve distribution for 4 months after the procedure. ::: ::: ::: CONCLUSION ::: The concentric malar lift procedure enables the recruitment of a significant amount of skin into the lower eyelid: between 10 and 30 mm. It ensures better rejuvenation of the mid-face with minimal risk of lower eyelid malposition. In reconstruction of the lower eyelid lid, the concentric malar lift is able to reduce the need for skin grafting and a skin flap reducing the risks of visible scarring. ::: ::: ::: LEVEL OF EVIDENCE IV ::: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .


title: Secure Cloud Storage Meets with Secure Network Coding

abstract: This paper reveals an intrinsic relationship between secure cloud storage and secure network coding for the first time. Secure cloud storage was proposed only recently while secure network coding has been studied for more than ten years. Although the two areas are quite different in their nature and are studied independently, we show how to construct a secure cloud storage protocol given any secure network coding protocol. This gives rise to a systematic way to construct secure cloud storage protocols. Our construction is secure under a definition which captures the real world usage of the cloud storage. Furthermore, we propose two specific secure cloud storage protocols based on two recent secure network coding protocols. In particular, we obtain the first publicly verifiable secure cloud storage protocol in the standard model. We also enhance the proposed generic construction to support user anonymity and third-party public auditing, which both have received considerable attention recently. Finally, we prototype the newly proposed protocol and evaluate its performance. Experimental results validate the effectiveness of the protocol.


title: Chinese Open Relation Extraction and Knowledge Base Establishment

abstract: Named entity relation extraction is an important subject in the field of information extraction. Although many English extractors have achieved reasonable performance, an effective system for Chinese relation extraction remains undeveloped due to the lack of Chinese annotation corpora and the specificity of Chinese linguistics. Here, we summarize three kinds of unique but common phenomena in Chinese linguistics. In this article, we investigate unsupervised linguistics-based Chinese open relation extraction (ORE), which can automatically discover arbitrary relations without any manually labeled datasets, and research the establishment of a large-scale corpus. By mapping the entity relations into dependency-trees and considering the unique Chinese linguistic characteristics, we propose a novel unsupervised Chinese ORE model based on Dependency Semantic Normal Forms (DSNFs). This model imposes no restrictions on the relative positions among entities and relationships and achieves a high yield by extracting relations mediated by verbs or nouns and processing the parallel clauses. Empirical results from our model demonstrate the effectiveness of this method, which obtains stable performance on four heterogeneous datasets and achieves better precision and recall in comparison with several Chinese ORE systems. Furthermore, a large-scale knowledge base of entity and relation, called COER, is established and published by applying our method to web text, which conquers the trouble of lack of Chinese corpora.


title: A Traceability Technique for Specifications

abstract: Traceability in software involves discovering links between different artifacts, and is useful for a myriad of tasks in the software life cycle. We compare several different Information Retrieval techniques for this task, across two datasets involving real-world software with the accompanying specifications and documentation. The techniques compared include dimensionality reduction methods, probabilistic and information theoretic approaches, and the standard vector space model.


title: [Diagnosis and treatment of endodermal sinus tumor of the vagina].

abstract: OBJECTIVES ::: To describe the clinical characteristics and the role of chemotherapy in endodermal sinus tumor of the vagina. ::: ::: ::: METHOD ::: Two patients with endodermal sinus tumor of the vagina were presented focusing on the clinical manifestations and outcome of the chemotherapy. ::: ::: ::: RESULTS ::: Patient's age was quite young, 2 and 3 years old respectively. Vaginal bleeding and a polypoid and fragile tumor of the vagina were main clinical features. Elevated serum alpha-FP was found before chemotherapy and dropped dramatically to normal if the tumor was sensitive to chemotherapy. Diagnosis was made by pathology and alpha-FP immunohistochemical staining. Both two patient was well responded to cisplatin vincristine bleomycin (PVB) and cisplatin etoposide bleomycin (PEB) chemotherapy. Clinical and pathological complete remission was obtained after 2-3 courses of chemotherapy without radical surgery and radiotherapy. ::: ::: ::: CONCLUSIONS ::: Endodermal sinus tumor of vagina in infant was very sensitive to the chemotherapy. Serum alpha-FP was very useful in diagnosis and monitoring of the disease.


Reliable Learning by Subsuming a Trusted Model : Safe Exploration of the Space of Complex Models


title: New Treatments for Hair Loss.

abstract: The treatment of hair loss is an important part of clinical dermatology given the prevalence of the problem and great impact on patients' quality of life. Many new treatments have been introduced in recent years. This review summarizes the main ones in 4 groups: a) For androgenetic alopecia, we discuss new excipients for oral minoxidil, dutasteride, and finasteride as well as new forms of topical application; prostaglandin agonists and antagonists; low-level laser therapy; and regenerative medicine with Wnt signaling activators and stem cell therapy. b) For alopecia areata, Janus kinase inhibitors are reviewed. c) For frontal fibrosing alopecia, we discuss the use of antiandrogens and, for some patients, pioglitazone. d) Finally, we mention new robotic devices for hair transplant procedures and techniques for optimal follicular unit extraction.


title: Implementation and validation of WECC generic photovoltaic system models in DIgSILENT PowerFactory

abstract: This paper presents the implementation and verification of generic PhotoVoltaic (PV) system models, developed by the Western Electricity Coordinating Council (WECC), in the commercial software simulation tool DIgSILENT PowerFactory. The scope of this work is large-scale PV plants connected to the distribution or transmission grid. The general model structure is described and the required modifications made during the implementation process are explained in detail. The implemented PV models were extensively tested and validated against the EPRI written Renewable Energy Model Validation (REMV) tool, that represents the WECC specifications. Moreover, the REMV tool has been validated against real measurements. The dynamic performance of the models was investigated in response to voltage and frequency deviations. The simulation results have verified that the generic PV system models, as implemented in DIgSILENT PowerFactory, match perfectly the REMV tool, and therefore correctly represent the WECC model specifications. Furthermore, the implemented generic PV system models in DIgSILENT PowerFactory can be downloaded from the author's website.


title: Supporting aggregate queries over ad-hoc wireless sensor networks

abstract: We show how the database community's notion of a generic query interface for data aggregation can be applied to ad-hoc networks of sensor devices. As has been noted in the sensor network literature, aggregation is important as a data reduction tool; networking approaches, however, have focused on application specific solutions, whereas our in-network aggregation approach is driven by a general purpose, SQL-style interface that can execute queries over any type of sensor data while providing opportunities for significant optimization. We present a variety of techniques to improve the reliability and performance of our solution. We also show how grouped aggregates can be efficiently computed and offer a comparison to related systems and database projects.


Cloud Classification for Weather Information by Artificial Neural Network


title: Sterile panniculitis in dogs: new diagnostic findings and alternative treatments.

abstract: The objective of this study was to analyse the underlying diseases, diagnostic findings and treatment outcomes in 10 dogs with sterile panniculitis. There was no significant breed association in this study (P = 0.86).The median age of the dogs was 7.4 years. Concurrent diseases included atopic dermatitis (four dogs), acute pancreatitis (two dogs) and primary hypoadrenocorticism (one dog), with no concurrent conditions detected in three dogs. There was no significant association with the sterile panniculitis (P = 0.57). Well-circumscribed firm nodules were noted in seven dogs, and ill-defined soft nodules were observed in three dogs. Bacterial and fungal cultures of biopsy samples were negative in all cases. Fine-needle aspiration cytology of the nodules revealed pleomorphic mesenchymal cells in all of the well-circumscribed firm nodules, whereas numerous inflammatory cells and adipose cells were evident in soft nodules. These results indicate that firm nodules in panniculitis could be misdiagnosed as tumours. Immunosuppressive therapy was used in eight cases. Topical dexamethasone was used in four dogs, intralesional dexamethasone in one dog, oral prednisolone plus ciclosporin in two dogs and oral prednisolone only in one dog. The remaining treatments were surgical excision and systemic cefalexin in one dog each. The lesions regressed within 1 week in all cases, with more rapid remission following systemic immunosuppressive therapy. This study suggests that cytology may be misinterpreted as neoplastic, especially with firm lesions. In addition, topical glucocorticoid therapy should be further evaluated as a potential treatment for canine sterile panniculitis.


title: Energy Audit of Building: A Case Study of A Commercial Building in Shanghai

abstract: The paper presents a detailed study of building energy audit through a case study about a commercial building in Shanghai. Recorder data of energy consumption of each building service system are used to diagnose the weak points of the building energy-usage system, tap latent power and then a detailed energy audit study are presented. By conducting an investigation of the energy consumption, the energy audit focuses mainly on the equipment consumption, especial on air-conditioning system, electronically equipments, lighting system, and elevators, etc. During the energy audit investigation, field-measurement of the indoor environment has been carried out in winter. Indoor temperature, relative humidity and CO 2 concentration have been measured during the field-measurement. Based on the energy audit results on the total energy consumption of the building from 2005 to 2008, outer climate and office occupancy rate are two leading factors for the change of the total energy consumption. The energy consumption of the air-conditioning system is at the first place, which accounts for about 45%. The energy consumption of the lighting system is just less than 10%. Some measures are put forward to increase energy efficiency.


title: Data in Transit Validation for Cloud Computing Using Cloud-Based Algorithm Detection of Injected Objects

abstract: The recent paradigm shift in the IT sector leading to cloud computing however innovative had brought along numerous data security concerns. One major such security laps is that referred to as the Man in the Middle (MITM) attack where external data are injected to either hijack a data in transit or to manipulate the files and object by posing as a floating cloud base. Fresh algorithms’ for cloud data protection do exist however, they are still prone to attack especially in real-time data transmissions due to employed mechanism. Hence, a validation protocol algorithm based on hash function labelling provides a one-time security header for transferable files that protects data in transit against any unauthorized injection. The labelling header technique allows for a two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgment immediately after file modification. A two layer encryption functions in PHP was designed for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. A sum total of 1600 different file types were used during training then evaluation of the proposed algorithm, where 87% of the injected objects were correctly detected.


title: Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction

abstract: For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices - enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing.


title: Script Visualization (ScriptViz): a smart system that makes writing fun ∗

abstract: We have built the first version of ScriptVis v.1.0 that allows users to visualize their screenplays in real time via animated graphics. Our system consists of a text understanding module, a high-level planning module and a scene generator. The user can input a screenplay as a set of well-formed English sentences via a graphic user interface. The text understanding module interprets the input sentences and triggers the high-level planner to construct a plan of actions for the appropriate agents. Then the agents execute the plans, and the scene generator renders the scene as the story evolves. Our system provides the user with a powerful tool to visualize his screenplays (stories) in the form of computer graphics, which makes writing story fun for students as well as for screenplay writers.


title: A search-classify approach for cluttered indoor scene understanding

abstract: We present an algorithm for recognition and reconstruction of scanned 3D indoor scenes. 3D indoor reconstruction is particularly challenging due to object interferences, occlusions and overlapping which yield incomplete yet very complex scene arrangements. Since it is hard to assemble scanned segments into complete models, traditional methods for object recognition and reconstruction would be inefficient. We present a search-classify approach which interleaves segmentation and classification in an iterative manner. Using a robust classifier we traverse the scene and gradually propagate classification information. We reinforce classification by a template fitting step which yields a scene reconstruction. We deform-to-fit templates to classified objects to resolve classification ambiguities. The resulting reconstruction is an approximation which captures the general scene arrangement. Our results demonstrate successful classification and reconstruction of cluttered indoor scenes, captured in just few minutes.


Contextual Model-Based Collaborative Filtering for Recommender Systems


title: Three Dimensional Face Recognition Using SVM Classifier

abstract: In this paper, we presented a novel approach for automated 3D face recognition using range data. An object recognition system generally consists of two main parts: data registration and data comparison. In first step, the nose tip was used as the reference point and 3D face shape was normalized to standard image size. The 2DPCA was applied to the resultant range data and the corresponding principal images were used as the feature vectors. Classification was carried out by calculating the similarity score between the feature vectors. The SVM classifier was used in choosing the closest match. Recognition rate of 97% rank-four was achieved.


Counting in Dense Crowds using Deep Features


title: Adapting general-purpose speech recognition engine output for domain-specific natural language question answering

abstract: Speech-based natural language question-answering interfaces to enterprise systems are gaining a lot of attention. General-purpose speech engines can be integrated with NLP systems to provide such interfaces. Usually, general-purpose speech engines are trained on large `general' corpus. However, when such engines are used for specific domains, they may not recognize domain-specific words well, and may produce erroneous output. Further, the accent and the environmental conditions in which the speaker speaks a sentence may induce the speech engine to inaccurately recognize certain words. The subsequent natural language question-answering does not produce the requisite results as the question does not accurately represent what the speaker intended. Thus, the speech engine's output may need to be adapted for a domain before further natural language processing is carried out. We present two mechanisms for such an adaptation, one based on evolutionary development and the other based on machine learning, and show how we can repair the speech-output to make the subsequent natural language question-answering better.


title: Pheno-morphological variation, genetic diversity and population structure of Tunisian Echinus Medic (Medicago ciliaris L.).

abstract: Medicago ciliaris L., considered as a valuable genetic resource, is a good candidate for the improvement of marginal or degraded lands with low fertility or high salinity. In this study, the pheno-morphological and genetic diversity were investigated in 14 Tunisian populations of M. ciliaris for the first time. Fourteen morphological traits showed significant differentiation between populations and high levels of diversity. Two amplified fragment length polymorphism primer combinations (E-AGC/M-CAA; E-AAG/M-CTG) were analyzed using an automated capillary electrophoresis system. A total of 528 loci were generated, of which 54% were polymorphic. Allelic polymorphism ranged from 0.02 to 0.5. Significant variation between populations was found for gene diversity, mean number of alleles per locus and Shannon index for which mean values were 0.17, 0.26, and 1.57, respectively. Analysis of molecular variance revealed a high rate of genetic variation within populations. Principal component analysis and genotypic clustering discriminated M. ciliaris populations according to their geographical origin. M. ciliaris clustered into three main groups. The first group was associated with high inland and cold areas, the second was defined by low areas with mild winters while the third described low coastal areas. Similarity of morphological and molecular results indicated that either markers could be used for the study of genetic diversity in this species.


title: Cognitive, emotional, and behavioral considerations for chronic pain management in the Ehlers–Danlos syndrome hypermobility-type: a narrative review

abstract: AbstractBackground: Ehlers–Danlos syndrome (EDS) hypermobility-type is the most common hereditary disorder of the connective tissue. The tissue fragility characteristic of this condition leads to m...


Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation.


Endoscopic Surgery Training Using Virtual Reality and Deformable Tissue Simulation


title: A glance at FD-MIMO technologies for LTE

abstract: Multiple-input multiple-output (MIMO) wireless communication technology, in which multiple antennas are jointly used for data transmission and/or reception, has been identified as a key approach to achieve the unprecedented data throughput in some advanced wireless systems such as Third Generation Partnership Project Long Term Evolution-Advanced (3GPP LTE-A) and IEEE 802.11ad. In classic MIMO-related research and development, antenna arrays consisting of only two, four, or eight logical antenna ports (for baseband processing) are usually considered due to complexity and cost issues. For instance, 3GPP LTE-A can support up to eight antenna ports for downlink transmission since Release 10. Recently, a new paradigm dubbed massive MIMO [1] has emerged, and it promises tremendous benefits by using a very large number of antenna ports for downlink data transmission. In particular, high array gains can be attained by narrow beams generated via massive MIMO, which potentially boosts the link quality for the targeted receiver and reduces interference to the other nearby users. Moreover, multi-user MIMO (MU-MIMO) can be applied in a more efficient manner with a large antenna array, as more users can be jointly served in the same radio resource through spatial division.


Oracle Summaries of Compressive Summarization


title: Pneumoperitoneum on Supine Abdominal X-Ray: Case Report and Review of the Radiological Signs

abstract: An elderly gentleman suddenly developed moderate to severe epigastric pain associated with hypotension and tachycardia. A supine abdominal X-ray was taken. Urgent CT abdomen performed after initial stabilisation revealed large amounts of free gas and fluid in the peritoneal cavity. Emergency Laparotomy revealed a perforated gastric ulcer. Review of the supine abdominal X-ray showed a number of radiological signs of pneumoperitoneum. As supine abdominal X-rays are commonly performed in emergency departments, doctors should be competent in interpreting the radiological signs.