Hello friends, I am Sanjay Gupta. In this video, I am going to demonstrate you how you can create dynamic 2D array in C++ using new operator. Before starting, you can note my information, you can connect with me by following these details. You can download my app Techimage that is available on Google Play. If you want to watch more programming related videos, you can search my name on YouTube. My channel will be available there. You can open it. Here you can subscribe my YouTube channel by clicking on this button. You can watch various programming related videos and playlists which are available here. Now coming on to the topic. Here I am going to implement a code which will demonstrate you how you can create dynamic 2D array in C++ using new and delete operators. So first I am including a header file IO stream. Then I am using a namespace std. It is a predefined namespace available in IO stream. It is used for scene and see out. Then I am using name of class array. First I am declaring a pointer to pointer and then two more variables R and C are for row and C for columns. Then in public section I am declaring first function set size, second function destroyer, third function is read and fourth function is print. Then I am terminating the class. After implementation of this class, I am going to define definitions for these four functions. So I am defining first function void is written type here then array is name of class then set size is name of function. Inside this function first I have to read rows and columns value. I am reading these values inside R and C variables using endl for line termination. Now first I am going to create memory blocks for rows using this statement. This will create array of pointers because I have used new int asterisk. So new will be creating dynamic memory of integer pointer type and r number of blocks will be created. Now I am using for loop. It will repeat r times and it will create memory for columns using new int C. So this way 2d array will be created in two steps. First I am creating number of rows and then each row will be created by repeating this loop. After creation of memory, I am implementing second function which is destroyer. It will deallocate the allocated memory by new operator. So here I am implementing loop which is repeating r times. First it will delete po5 array which is allocating memory for columns. Then after deletion of those columns I am deleting p which is pointing to array of pointers. So friends these are two functions which are allocating and deallocating dynamic memory for 2d array. Now I am implementing third function definition that is read. Inside this function I am declaring two variables i and j. Then first for loop for rows inside this second for loop is for columns and then scene statement for reading elements. So this is read function which will read all the elements of 2d array. Now I am implementing print function which will display elements on console. So I am copying these for loops and I have pasted here instead of scene I am using cout. And for new line I am using andel because I want to print the elements in matrix format. Here I am using space so that space will be printed between two elements. So friends this is the definition of print function. Now after these definitions I am implementing main method. Inside main method I am declaring an array object a1 then I am calling a1.set size then a message enter values. Then I am calling a1.read function then a message you have entered then a1.print and at last a1.destroy. And then return 0 because return type of main is integer. So I have called all the functions set size read print and destroy. So after implementation of this code I am going to execute this. You can see it is asking for number of rows and columns. So I am entering two as number of rows and three as number of columns. So I am going to enter six elements. You can see the output two rows and three columns are printed here in the matrix format. So friends I hope you have understood how we can create dynamic 2d array using new and delete operator. I have allocated and also deallocated memory for this 2d array. If you want to watch more programming related videos you can visit my channel on YouTube by following my name. You can also subscribe it. Here various videos and playlist are available on various programming language related. Thank you for watching this video.


So I'm standing here with Simeon Jankov, the keynote speaker, and I was just asking him what his expectations are for today and what he hopes to learn from the panel debate. The main goal for me in terms of the debate today is to learn what the Danish view is on many of these topics. We've heard the view from Brussels, we've heard the view from London, we've heard the view from Eastern Europe. But the Danish view is not so widely discussed across Europe. So I hope that some of the discussion will force on that. So Denmark is a relatively small country, both in size and economics. So do you think that the Danish way can contribute to the overall economic state of the world? Could other countries learn from Denmark or are they simply too small? No, being small doesn't make it difficult to bring good practices and then contribute to the growth. Many of the good examples actually suggest that it's easier to do big reforms. So actually I think you can learn along from Denmark. Okay, thank you very much. Thank you, sorry, I was about to sneeze the whole time. It's okay, just go over here, thank you. So once again, welcome to Aarhus. Welcome to beautiful sunny Aarhus. We're here at the Europe's Growth Challenge event hosted by FACA and Aarhus Business School. So basically this event is organized by volunteer students from the student association called FACA. FACA is a student association where we try to link our members with business partners to say and to show people that there is actually a world outside of these yellow buildings outside of the university. Currently we have 1,500 members all over the university with different study lines. We are collaborating with 18 top tier partners to try and link again, as I said, these members to the partners and to show them what they can actually do in the real world. We're also hosting this together with Aarhus Business which is one of the four main faculties of Aarhus University at Triple Crown Accreditated Business School, more than 16,000 students. So to help us host this event today, we also have some partners and sponsors that we would like to thank. First of all, we have Tupor Franden, we have Anahil Olsbens, Mercedes-Benz, the Department of Economics and also Tupor Research Center. So now our next contestant or our next guy is arriving. So let's see if we can see who it is. It is Bo Sanderman Rasmussen. Maybe we should also hear a word from him. So Bo, do we have time for a short interview? Yes. So Bo, thank you for coming. What do you hope to learn from this panel debate, from this event? It will be interesting to hear about Simon's view on how we can increase growth in Europe because it has been a long time since we have significant growth in the EU area. So we are hoping to hear some good points on what should be done. And Simon also said that he hoped to learn something about the Danish way because it's a small country and we're not heard that much in the economic debate. So do you think that Denmark has anything to teach a guy like Simeon on how to do economics? I know he is very much concerned about a kind of fiscal consolidation and that Denmark really has done a good job in the past five or six years. So I'm quite sure that what we've done here could be copied in other European countries to help also establish growth in Europe. Thank you very much, Bo. Thank you. So that was Bo Sanderman Rasmussen. I don't know if we have any more participants arriving, but let's wait and see if there are someone. So just random students, I think. Maybe not. So maybe I should tell you a bit about today's event. So basically the event today will be on Europe's growth challenges. We're going to be put into four different parts. So first of all we have Simeon Jankov hosting a public lecture for around 450 students. Then we'll have a short break and afterwards we're going to have a panel debate where Simeon Jankov is going to debate Europe's growth challenges with other panel debatees who are Bo Sanderman Rasmussen, as we just met. Also, Philipp Schröder, Professor in Economics and Clemens Jarta, Senior Partner of McKinsey & Co. And to host the debate we have Bjarke Möller, who is Director of the Think Tank Europe. And now I can see we have more participants arriving. And it is Philipp Schröder. Philipp, do we have time for a short interview? So Philipp, welcome. What do you expect to learn from this event? Well, I think what Simeon has brought to us is a new diagnosis of what is wrong in Europe. And I'm very much looking forward to hear his remedy because it's one thing to prove that the European model is sort of failing. It's a very different story to find out what to do about it. And I'm curious to challenge him on some of the ideas he has for what we should do going forward and securing that Europe still is on a growth path. Do you think he can learn something from Denmark, a relatively small country? Well, I've looked into some of Simon's research material and what he does actually takes a lot of the European models from Scandinavia, also from the Baltic countries, and sort of asks which elements appear to work well and could we sort of scale them for Europe? And in that respect I think Simeon has learned a bit from the Scandinavian model. But again, I think some of us in the panel will challenge him on if he understood everything right or if it can actually be scaled in the European contracts. Because having seen a couple of European countries and lived in a couple of European countries, for me, not obvious that you can use what worked in Estonia and just imply that it also works in Germany. Okay, thank you so much, Pilip. You're welcome. So now we only need the last panel debater to arrive, Clemens Jarta. So while we're waiting for him, I'm just briefly going to tell you about who the guys that we are meeting actually are. So leading the panel debate, we have Bjarke Möller. And Bjarke, as I told you, is the Executive Director of the Think Tank Europe. And he's also a leading Danish journalist. Furthermore, he is an active participant in public debates concerning European issues. He's also a former editor-in-chief of the newspaper, Matt Amorn. And he holds an Executive Leadership Degree from Columbia University and the Graduate School of Journalism. Furthermore on the panel, we also have Simeon, as we also have met, who is a professor at LSE and also at Harvard University. He's a former Vice Prime Minister and the Ministry of Finance in Bulgaria. And he's also been the former Chief Economist and Vice President of the World Bank. He holds a PhD in Economics from the University of Michigan. We hope that he can provide the holistic perspective on this discussion and that he can, from his point of view in America, Bulgaria, and also in London, can provide some overview of the challenges that Europe are facing within growth. Furthermore, as we just saw, we have Philip Schroeder, who is a professor at Aarhus BSS at Aarhus University. He's also a board member of the Danish Competition and Consumer Committee. He's a former board member of the Danish Productivity Committee. So Philip has worked a lot with productivity and how to create more productivity in the Danish economy. Furthermore, he holds a PhD in Economics from Aarhus Business. We also have Klim and Jata, where we are actually waiting for at the moment. He's a Senior Partner and Director at McKinsey & Company. He is a member of McKinsey & Company's European Leadership of Business and Technology Practice, and he is a Global Advisor to Clients in the Area of Digital Strategy and Disruptive Technologies. Clemens is going to take over the spot that was actually for Bjarne Corridon, but he had, unfortunately, he had to cancel showing up at this event, so Clemens will take his place. And finally, we have a guy we also met, Bo Sanderman Rasmussen. Bo is also a Professor at Aarhus B.S.S., Aarhus University. He is a former board member of the Danish Competition and Consumer Authority, and he is a former board member of the Danish Tax Commission. He also holds a PhD in Economics from Aarhus University. And now we have the final panel debut arriving, I think. Or at least I see a car. Hmm. But they look a bit empty. So let me just hear. Tour! Hansen! Do we have anyone left? Okay. Now we have Jens Ries arriving, but let's move inside and see if we can talk to some of the participants about the event today. Well, let's see. It looks like all the participants have already sat down at their chairs, so maybe we should just switch to the other camera and let the show begin.


Okay, so this is our hacks everywhere. I'm David Huerta. I'm one of the organizers for something called our hack day in New York City Just coming up in January go into that detail New York City has recently had a very proliferant hackathon culture so There's a growing technology community startup community that has been putting a focus on I guess people building things this is my first hackathon that I Attended when I moved to New York City called reinvent nyc.gov is actually a hackathon that was sponsored by the New York City government Which is really cool and also meant they had a decent-sized budget, which is why we're eating like catered fish and not like old pizza the This is basically what a lot of them are like But we want to do our hack day, which is artists and hackers this pretty much sums up why At least half of it and that's the other half So in this case we want to create epic things do epic shit So that happens when you have people with strong right brains and strong left brains working together So or it could be really awful. There's really no way to gauge that until it actually happens, so we're gonna do it This is our logo or hack day. Nothing can go wrong the It's a very different type of event we Are taking a different approach to hackathons than other hackathons are doing we think Because we're doing we're defining and broadening a lot of definitions of things a little bit of background This is Olaf. He's probably one of the main founder of our hack day He's actually based in San Francisco, but he commutes a lot to everywhere else in the world including New York We me and him actually made this like ridiculous scary pumpkin mask with the mohawk made of stems that are at a NYC resistor, and that's Paul He I could not find a real photo of him ever anywhere But yeah, so he is basically the other organizer of this the other like third of our little triad He's a web developer. He does cool stuff So I just were artists and hackers The our slogan is basically we're hackathon for artists whose medium is technology and technologists whose medium is art This is a technologist whose medium is art So these are little turtle shell racers. They're pretty awesome That's sort of thing we want to see because it's really cool and of course artists whose medium is technology This was actually at the museum of modern art down the street over at the MoMA Basically, it's a showcase of sort of Like interactive, you know human-to-object relations Which we thought was really cool and in this case we this is something that we looked at before we started Like I said, we're defining things very broadly Warhol actually thinks said that art is what you can get away with it What do you can get away with so? That's basically what we define an artist as it's very very very open-ended probably dangerously open-ended We also have a broad definition of what a hacker is in this case people tend to spend way too much time on the semantics of that in my opinion, but So basically, yeah If you show up congratulations, you're a hacker So we have a few different aspects to you the hacking that's gonna happen So this is so we're gonna be doing we're gonna have hardware hacking Spartak fun has been very generous and donating a lot of really nice stuff to play with while we're at the events That is gonna be given away to attendants There's a very horribly named startup called fascism F-A-S-H-I-S-N. That's an iPhone app that's donated that's letting us borrow some sewing machines So we'll be able to do wearable things like this really cool EL wire like outfit that Somebody was showing off at the robot film festival maker bot is also gonna be there of course with maker bots So we'll be able to do some 3d printing 3d design and You know being able to like build stuff on the spot the venue itself is also gonna have a laser cutter theoretically So we'll basically have a pop-up hacker space in the middle of bushwick in Brooklyn Of course, there's code. There's always code So a lot of people that have a sorted history and the data visualization are gonna be there from what I understand That have signed up anyway So there will be plenty of sort of the traditional get down on your laptop and start coding stuff out Sort of mentality you see a hackathons and then you have 24 hours to do it Basically the founders and I sort of have this philosophy that artists ship So if you can't make art in 24 hours, you're not a real artist So actually we do have some restrictions on the definition of artists But yeah, so it's basically it starts in the evening goes on well over into the next day people have sleeping bags Etc. And then it opens up with an art gallery Opening at the event itself, which is an art gallery. So it makes sense This is different for most hackathons in the sense that most hackathons in with some kind of big contest and We wanted to divert from that a little bit and have more of a spirit of cooperation in terms of people like working together They do stuff. So we just ended it that way. There's a location at 319 Scholes it's really great to find places like this because they're spacious and they have a history of Doing cool stuff. They were also the sponsors of the bent festival just a circuit bending festival in New York and That is a dead drop. So that is a sign that you found the place that hackers are invited to We also have several sponsors. It's helping pay for the events in this case We don't focus on them too much. We they're helping us out with paying for food For building out the wire the wireless infrastructure at the space Which is very art gallery ask meaning that the 10th person that signs on drops the internet connection And we measure that we're measuring the success on this by how well people enjoy it and then how Whether it did people enjoyed enough to like spread it out to the rest of the world So it'd be really awesome if there was an art hack day in Berlin, I think So I'll leave you with that thought and that's my time


Anyway, so I was going to, I'm going to talk about the brand imaging data string and development of the neuroimaging data model that we've done in the NCS task force. My subtitle is the missing principles and tools. So outline, a brief introduction, then why NIDM, a couple of use cases of NIDM and then its future, so in a quick, so let me start with a little bit of a background of the neuroimaging software. Basically, why do people develop neuroimaging software? Why was SPM, FSL, AFNI, the tools that we've heard about been developed and so on? And I think, I mean, usually it's a method group that really want to have like a media to, you know, propose to the world the method. It's also like a little bit of a branding aspect to it. And so it's, you know, it's quite good to be able to quickly put out your new research and methods in the software. And that was a kind of a critical sort of a reason why this software was developed in many instances. However, software development itself is usually poorly considered in the research area in the academic world.  And there's poor interoperability between those tools. And basically one of the fundamental problems that I want you to think about is that the publication aspect is still the main currency that people have for their career and so on. And that's a little bit of, that is kind of the background that I think we are working with at the moment. And basically one aspect of that is that there's no provenance, that there's no push to get something that is a provenance that people can get out of the results and the data. And there's also little testing of those things. So the consequences, that group has some, how to promote their software. They, you know, when there's a bug in FSL, it's not like a great thing.  I mean, that's, I'm not saying there's a bug in FSL. I'm being recorded here. But, you know, that's the sort of the sociology of it, right? Code to reproduce paper is usually, if you do a paper, if somebody, a cognitive neuroscientist does a paper, it's very rare that the code to actually reproduce the analysis and the figures and all those things is going to be available. And I just picked up this number because on looking at the NIH sites, I was looking at, you know, out of the 400 millions that are being basically given of, you know, funding neuroimaging research or fMRI research at least, sorry, I should say. How much of that is actually going into the development of tools? Very little of that. So that's the consequence. So what are the consequence? A very deep lack of harmonization and standardization between things. I would say, I mean, I would like to take and tell you the story of the Nifty standard. Again, if Nifty is one of the standard that we are all working with, it's a very good thing to have this standard. Many people are saying, this is a really bad format.  Sure, it is great to have Nifty. That's the my message. There's basically a lack of reusability. There's an enormous waste. If you look at the research being produced, there's an enormous waste of resources. When the only product of a two or three years work is a couple of papers and then no one can actually reuse the method and the thing that you've been developing to actually produce those papers, it's how much, this is enormous waste. And that's one of the things that we have to really think about. And there's a lack of reproducibility. There is a reproducibility crisis. I think how many of those papers out there can actually be reproduced and give us the same results. It's not very clear. And I mean, there's a number of papers now showing like starting with button. There's the power issue, but there's also the availability of the code and the software that needs to be here. I think that's, I mean, I would say in my field, in the new imaging field, there is definitely a reproducibility crisis. And I think we have to think, OK, how much can I reproduce my colleague results before I do something? So the missing principle. If you publicly funded to do some research, the code and the data that you're acquiring or you're developing are not your code. There's something that you've been basically funded for. So they should be going back to the community, to the scientific community. And actually, if you're a good scientist, if you're interested in the stuff, that's a natural thing to do. The problem is that we are working in this economy of science where you need to sort of publish and advertise your stuff to survive in that environment. So that's one of the key problems. And basically, research is about diagnosing nurses. If you have some developing software, you should be able, I mean, that one thing you should be thinking is reproducing and validating and testing this software and making sure that they can be reused in an efficient way. So adopting a culture where we spend more time in doing sort of this slow-paced thing that we need to do to make sure that they can be, our products can be reasonable. It's more like a long-term thing than rather than a short-term thing. And that's the cultural aspect of the problem. So what are our goals in this task force and the development of the neuroimaging data model? Well, it's basically going to sort of go a little bit against the current. And we want to make sure that we can, if possible, have a comprehensive data sharing, announce the reposibility, announce resusability, increase interoperability, discover data, discover software, enable new research and ideas when you have those things available. And the challenges, that there's no easy tool, missing metadata, things are not discoverable, the data, and if you look for data on the web, that is very hard to get them, it's very hard to get them documented and so on. There's multiple software because of the economy of the thing, and there's very limited funding as I was telling you before. And there's no comments on that. I mean, there's very little comments on that. Thanks God that's nifty. So we need a common language and we need a method to construct it. So what are we trying to do? We're trying to basically look at, from the paper, which is the end result and sort of, unfortunately, sort of the almost only result that is really looked at by funding agencies or committees on the hiring in universities. And so instead of having the thing, our product to be only one publication, we want to get all the things that have been done before to be able to be reused and to be linked to that publication so that we can reproduce, validate, reuse. And the whole thing should possibly be linked and should be linked really if you have a paper and a result that is somewhere in that paper, you really want to be able to go back to the raw data, you want to be able to go back to the analysis and workflows and so on. How do we avoid the classical problem? We need a standard, we need to communicate. There's already like a anyways of doing that and trying to do something that we are going to just create a new one. That's a, and how we do, so we have to think of this, both the technical issues of trying to link those data and share those data and software, but also the kind of social and engineering aspect of it and that's probably even more difficult to solve. And that's the things that therefore if it's difficult to solve, that's the thing we should concentrate our attention and energy on as well. Anyway, an IDM, a data model shared and co-developed, that's one of the answer, that it has to be a community sort of tool. The methodology that we try to weekly have calls that are sometimes painful and long discussions on things that would get people frustrated and so on. There's a number of tools that we can use, those technical tools to help in that process. Git GitHub have been like a huge help in this process. Doing the pull request and some hackathon and getting the tools developers on board. If I'm doing something in your imaging, I need the FSL, the SPM, the AFNI, the free server guys to be on board with what I'm doing. Otherwise, it's not going to be going very far. And I just want to acknowledge those guys and especially the people being involved in the IDM development, Kenny, Carl, Jess, Guillaume, that is a photo, Nolan, of course, Sattra, I'm going to miss some of those, I'm sorry about that, but it's really, it's been a great, of course, it's been really a great pleasure to work with the people. And the social aspect has been really sort of started with the neuro bureau and the brain hack people and come on with, is one of the main player in that field. And really getting people together to go develop things is one of the answer to the social problem. So what is an IDM is a way of describing data, software, methods, results of the methods, in a way that is as much as we can come on and queryable and what does it use? It uses the semantic web technology. Technologies, basically RDF Sparkle and then the probe specification and then some vocabulary that when we can, we take from outside and it takes from the, it goes from the experimental design and data to the workflow and then to the results. And with the idea that all those things can be query across these layers. And we have focused a lot on the IDM results so you will see some example of that. Just want to go back to the probe model. Can you give me a head back when I'm five minutes away? Okay, thank you. Because I forgot to put my timing on so. The probe model is something that helps you structure how you describe things. It's not like a magic answer to anything. It's a little bit of a, it just helps to structure things as agent entity activities and you can do many things just with that and that's enough for us to describe our world. An IDM experiment is the idea that you use that probe model to describe this experimental data set that goes from the project to the actual study and then the actual acquisitions and all those files and use those agents, agent activities and entities to describe this, you know, what is being done to the data, how it's been acquired and so on. And we've got thanks to Dave, a character that we've got and all the group, the IDM specifications on GitHub where you can go and see, okay, how do I do that? How do I start with describing this experimental data with an IDM model? And we've got another view of that, a primer which we're trying to start to run training sessions on those things and we've got experiment and results aspect to it. And again, the social aspect of GitHub was really helping us in the process. The first use case I'm taking quickly because you've seen that yesterday, is one from Dave, the Conti Center taking the data, getting a model of those data, you're spitting out some total files, some serialization of RDF and then putting a virtual database which is a Sparkle endpoint where you can query things directly from the total file, from the set of triplets. And then from those things, you can construct your UI or anything you want to display those information. Just a quick quote, but I think what is important and interesting that Dave also pointed yesterday is that there is a comprehensive and long lasting markup of those things. So comprehensive, it means that if the habit was recorded, it was actually the habit of both the mother and the fetus and those things are encoded. Everything that all this information that we do not yet what is the information that is going to be very useful in the future, if we can, we put it in. And it's a long lasting thing. FreeSuffer, an example of FreeSuffer, it's a domain objective, FreeSuffer is a very used tool of course in the new machine community. And again, the idea was to go from the experimental information to the workflow of information and then to the results information. And the idea is that with a sort of few lines of codes which are sometimes you have to dig into, I mean, you have to sort of dive into that. It's good to diving in Cairns, that's always good. And you can actually get those information encoded in using our pattern tools, the pattern tools to encode this information. And then when you've done that, you can link to other data like the FMA, you can link to other tools if they are already marked up as well because you can merge different graphs of information using this semantic web technology. Third use case, the fMRI statistical result, that's the one that is the most developed, thanks to Cami. And basically, again, what you're looking here is the use of those software in the community for fMRI. And you see that we took the first three software that are the most used to start to develop this model across those software. And we have really like a SPM and FSL and AFNI still on the web. And this is the model. So in fMRI, task activation based tools, we start from a design, an experimental design. We construct the model, we take the data, we construct from the data the team maps that you've seen with Marta and other talks before. And so those are statistical maps. And then these statistical maps, we do some inference on those to select the regions that are significant across those workshops. And this model is just the model of that process and all the entities that are being created from the activities of, let's say, doing an inference or doing a contrast estimation or these sort of things. And the model is not going to be exactly the same for SPM or FSL. So these are the difference. So if you can query on the things that are common to those two models, but we also can query and say, okay, I want something specific that is only in FSL or I want something specific that is only in SPM. And you can do that with those queries. What is the use case of that? Well, how are we going to use those things? Because if you don't have like a good use case to say to convince the neuroscience community that is going to be useful, you're not going to go very far. And the use case that we started with is the meta-analysis. So coding all this information for the results of those software is really important for meta-analysis. The usual way meta-analysis was done in the past and will be done for, I'm sure, a long time is to have the XYZ coordinates of the papers to be taken out and then you construct some sort of maps of those XYZ coordinates for a specific domain, a cognitive domain or a pathology domain. And that's what you think has been done for. It is very successful. It's a great tool developed by Taliakoni and it's just a great thing to have. We think it's not enough. So the meta-analysis we can do with the marked-up results from SPM and FSL from with the Niger model is that instead of having just the XYZ coordinates that are in tables, in possibly papers, you have actually the T-maps that are images that can be shared and I'll show you how. But you also have all the information on those T-maps that is really useful for meta-analysis that has been marked up. So you know now the smoothness, the error model, the contrast direction, things that we are completely missing in the previous meta-analysis. Brandspell is another tool that we're working with that is actually a tagging tool on papers. There's a vast amount of papers that are legacy and we want to still be able to use that. But how do you use that if you don't have the right information directly coded out from the output of the software like SPM or FSL? Well, you can take Brandspell and start to tag and say, okay, this actual contrast list in this direction it comes from this cognitive class domain and so on. And so you have more information you can code it and our plan is to actually extract from that an IDM model. I was telling you the contrast images, they can be shared easily. That's thanks to Chris now. He's constructed this great tool, the NeuroVolt, that you can actually push all those contrast images and push those contrast images that have been spit out by SPM and FSL with the IDM information. So we have now in NeuroVolt the capacity to have all the information that SPM and FSL has when they're constructing their team apps. That's a fantastic thing. We're really making progress there. And there's also this little project with Nif and Jeff and Marianne and Jeff Kennedy to try to see how we can take the papers that are not yet entirely being published but will be published and mark those papers with some terms that are going to be in an IDM model and therefore have some more like a social aspect to it where we can say to the others, oh, that's great, your paper is accepted, but if you really want to make it really useful, you should mark all those things in that paper. And that's something we've been working on. It's a parallel little thing that should be then matched with the automatic things that have been already out from SPM and FSL. So we're basically trying, we're linking those things because we have the same model to mark them up. Queries, the key thing here is that once you've got all those information marked up, you really want to have the power to query that. And the standard W3C thing for those queries is Sparkle language. The great thing with that is that you may have a graph that is an output of an analysis somewhere on the web and then another graph that is an output of another and it is somewhere else on the web or something local, you can merge all those graphs and do a query across those graphs. So create a common graph across those resources. Problems for me, and I don't know enough about that topic, so I want to linger on it, but basically, I mean, how is that going to scale? How is the efficiency of those tools? We have been using virtuoso, but there's also other tools that are possible. And all those, how is it going to actually work in real life completely? I think that's still, those questions are still to be experimented and tried upon. And I show my colleagues, Nola and others, we will jump in and tell you a little bit more about it. I think we also need tools for neuroscientists so that, I mean, not everyone is going to write up a Sparkle query, so we need tools to actually make those query easy across various resources. And we need to train neuroscientists. I think if you really want to be a good cognitive neuroscientist or neuro-imager, you actually do need to learn those techniques at some stage to be able to free yourself from the tools that are being developed and actually develop your own ideas and develop your own queries that will be useful. So the training of the community is going to be critical for that, in that matter. So this is an example of a query. I don't think we'll go into it, but we have a number of examples in our IPathome notebooks, our Jupyter notebook now, in the GitHub repo of the taskforce. And this is just a way, you probably can't see it, it's just a way of showing that how simple it is to actually merge two graphs to do a query on those two graphs. But the thing I was pointing out is that queries can start to be a little bit complicated. And again, we do need to sort of start. So this is the query to get the XYZ coordinates from the SMEM FSL models. And that's going to be, not everybody is going to write that, so we will have to have tools to do that for all people. And these tools are started to be developed. So I think that's a central and can be developed, started to develop an IDM result viewer that works on the browser. So you can point to an IDM result, FSL and SPM, and then get all the team maps, all the coordinates, all the information that an IDM has marked up in tables. So what are the results of an IDM result? Well, we've got a free server converter, an FSL converter, a native SPM exporter, AFNI people are engaged in the project. We've lost the ad that have gone to industry, but that's hopefully we'll recover from that. And so therefore we, I think we have like the wide community of new imaging tools and the most widely used tools to be on board with that project. So hopefully there's a chance that this is going to work. Open FM write data, an IDM result for both SPM and FSL there, new volt ingest IDM results. We're working with Brunspell and Rosings. Bids, which is the new format that Chris was telling you yesterday, is going to be have like the IDM export where you can tag more information that Bids cannot have because it's just a simple data structure to make sure that it is easily write up by people that don't actually do coding usually. So that's things, these things are happening. It's a very exciting time. The IDM has been used in the Comtee Center that Dave was talking about. That's a real life application in NKANDA. We're working with Cameron from the NKI data set and so on. So there will be more and more big data set and data set spread across the internet that will be marked up with IDM. And as a result of those interactions, there have been like four grants that have been submitted that will have in part some IDM development aspect to them. So I think that's exercise. The one thing that I want to point quickly ever before finishing is that when, how do we understand each other? How do we construct a common language? Well, first of all, we have to know exactly what is our goal and that's not always the easy thing. We have the same goal exactly. We have, I think we have a common grammar somehow with the IDM model with the Prove W3C. And then we need a common vocabulary. We need to make sure that we don't reinvent the wheel each time. And we need to take the time to not reinvent the wheel. So if we are developing something with IDM, you have to search for them, then you have to use the standard ontologies and the hexagons that are on the web. And then if nothing is appropriate for that, then only you add something. And you add something by discussing it on the web, by using some sort of a technique that we've developed for the IDM results. We've developed this sort of methodology where you discuss the term and text time and it's boring but is very useful at the end. So where do you look for terms? Neural X, oboe foundry, FMA, a cognitive Atlas, but also all those standard domain names on the web, DCT of course and so on. And if you haven't found anything, then you create something and you discuss with your colleagues. So why this whole enterprise may be working? I think there's a good spirit. I think we all understand the sort of the problem we're going to want to solve. We're basing our sort of a way of working on the open source communities way of working. We have a very strong neuroimaging in pattern and open source ecosystem that is sort of an underlying layer to that enterprise. We are trying to solve a problem that is in the domain that we know. If I take all the people in the task force and around that are working on that thing, this is hundreds of experience in the domain. And we have a little bit of funding from NCF and soon hopefully a bit more from NIH to do that. But I think the key thing is that we have the great individuals in this task force that are really motivated and that do that on their leisure time and they're taking some time to do like maybe two days hackathon and so on. I think that's the key aspect and they're knowledgeable and they just have the good spirit. But our difficulties, it's hard because everyone has its own little agenda and next goal to it. So it's not coordination of those things are not easy. It's still a small developer community. We need to do more training on that. Software development is not well considered in the research academy sort of a world. Most research have domain knowledge but have a little skill. So there's a learning curve that is really steep to get there. But I think it is necessary to do that training. Current future work, NIDM experiment. I've told you about that. We should link with NDA as well. There's all those database world that we are linking as well. So XNAP, Clarisse and so on. Samir is around here to help us with that. NIDM workflow, there's a little specific group with Tristan and others from the world like a night pipe of course with Chris and so on that we're trying to get this markup thing, markup NIDM markup for workflows. And the NIDM results will expand with other software and so on when it's proved its utility. Again, I'd like to acknowledge people. I also would like to acknowledge Matthew, Rosa, Eva Christina and Linda and all the secretariat. And thank you for the invitation for the talking today. Thank you. Thank you Jean-Baptiste first. This is Guillaume. He doesn't want to have his photo on the way, but this is Guillaume from down here. Okay, sorry. So, yeah. Gary, you have a question? That was great, JB. So my question is about how to move ahead in having researchers adopt some of these improved reproducibility tests and so on. And clearly having the tools available is a key requirement. But I'm wondering if from a publication perspective you think journals could have a staged way of increasing the quality of research that's being submitted. For example, as you mentioned, power analysis is one sort of requirement it could be. And also some of the other metrics that you pointed out here. Do you see a way forward in trying to sort of implement this across the community? So I think there's several questions there. I mean, there's the how do we move like the general evaluation academic thing to account more for software. And there are sort of little things starting. I mean, there would be like a, I think in natural neuroscience a little bit of a advocacy small things on how software is really important and like how you should be testing it and so on. There are sort of like things like because of the reproducibility crisis, people start to understand that there's a need to consider that bit to be really critical and not to sort of focus on me on the publication of the scientific results that are possibly not scientific results in some cases. So I think that that's the general advocacy aspect to it. We just need to increase the awareness of the community that this is a critical thing. And if you were working in your imaging, you would never think of not training yourself in your anatomy.  If you're working in your imaging, you have to know a little bit of a software development. That's the same sort of a, we know to have the tools of the trade, right? And so that's one aspect to it. And the other aspect is to engage specifically maybe publication journals to say, okay, that's something on the software is a valid contribution to science. And I think giga science for instance is doing something which you have a paper and you have in galaxy kind of thing like your tool that is available. So I think more and more journals are on board with that. And the thing to engage all the community of the developing tools, I mean, it's just have to be coming from bottom up and people realizing that working on your own little thing is probably maybe the best strategy in the short term to get the next grant on the next paper. It's not the best strategy for the scientific community. Any other questions or comments? I want to first from the chair. I mean, we're all talking about the need to share data and big data and this sort of thing. And yet, and you make the comment that there's little money for software development and yet so many people are seeking funds to develop yet another alternative or taking 14 methods and developing the 15th method to go with it. So how do we as a community say, let's work together and you're doing a great job to do that, but we've got to, we as a community have to come along and be part of that. And say, we don't need to go and yet develop yet a 15th or a 16th or whatever method. Yeah, and universities really have to develop ways of hiring at like a position for people that are, they're really good at that thing, developing and linking things for the, for the, for neuroscience in this instance. I think that's one of the key aspects. So it's a bit of an argument we've got to have with our universities and that is to what, what the benchmarks are for our staff is to, you know, at the moment it's, you know, first off the publications is unfortunately grants and that sort of thing. And we all understand that problem. So yeah, there is, but I think you demonstrated really why we need to go down a way of common data curation. Okay, so thank you very much.


All right cyber traders welcome on back here this Friday December 17th shortly after 2 30 p.m. Eastern time and for a final time of the week Welcome on back here for our afternoon meeting great to see Patrick. We got Lewis We got Marush great to great to see you all great to see Dickens Debra Ari Grant Norman and all of us otherwise great to see you alive in the cyber group room And again if you're joining us on social media Facebook live or YouTube welcome on back So let's talk about this SPRB trade to begin up just about 50% or close to I guess it was up 50% But pulling back down now off its HOD at 387 You know what? Hey left a tiny bit of amount of profit on the table there. I care less I care less about that That's fine. We had a pretty good entry on this trade right folks And I'll tell you what I ended up missing a small part of this entry at first to it took long enough to get the Years going on this trade, right? So it's not like you're gonna watch this doc the whole time It's like watching the grass grow so throughout the remainder of the morning after it made its initial run up You know pop 280 up to 310 it lower highs and pull back You know at that point you're moving on to other trades are not necessarily Expecting this type of run up you hope for it. You don't expect it So, you know, hey, we ended up seeing this begin to show signs of life again Going into 12 p.m. Eastern ended up beginning to break over three made a really nice pop and at the time And I'll tell you what I'll give you a little Behind the curtains a bit. I was in a coaching session with one of her students And it's not to say that hey this worked out like every other call out I make no not every call out I make works out sometimes are wrong folks But I told my student this because once it broke over three here There really wasn't a lot of buying that came in over the three level right here at the time I was really expecting a false breakout So with that of course it ran up pretty nicely Well, otherwise after a stock just breaks resistance and runs off it at a minimum I'm expecting that level to now turn it initially into support So right over here initially here it broke under and over from three That's the first time in which it pulled back to support from their rat, right? So that was a hell of a trade now at that point though I also had a line of my chart my main trading platform here on my other screen at 309 And I wrote that the trading room that was the level that I was more intent on trying to get it from From there I ended up missing it and then from there took off I jumped in right off 325 as my entry 325 and then I added more right up penny up at 326 So I ended up turning it into a full-size position ended up taking half out right around 350 And then the rest at 375 or 372 I think my exit was there and I pushed up a little bit more But at this point right now if the stock it begins to pull back further make a higher low and then begin to really make its rally Heading into like 315 330 Eastern time then that would be a hit Oh, that's exactly what we you know would like to have here at this time today So for right now, I'll definitely put this on our main watch list to begin and shoot back-to-back days here I think or maybe two out of the last three days I Know my pen in front of me my notepad ready out here. All right, so SP or be a run right this down now perfect All right, so what we'll do is go from top to bottom. Otherwise this NK or NTKI stack. We're not gonna look at it It's just a tradable. I'll save you the look but for right now We'll keep it going otherwise with number two the GNFT trade Jennifer SA so this stock ended up kind of just popping up pretty early on right You know shortly after the market opened up ended up breaking out from like three four thirty up towards a high of five Now at that point volume dies off this stock begins to pull back and die off as well Well, it ended up making a nice slingshot a few slingshots throughout the course of the day And it was like really just wacky up and down No, even here after 12 30 Eastern time ended up popping pretty suddenly from 460 ish You know took off all the way up towards just about 550 It looked almost for certain as if it was gonna get halted Didn't get halted but ended up just beginning to chop around again It made a very underwhelming move it broke higher But then snapped right back down and made this, you know crazy false breakout So this thing's volatile not necessarily in the good way, you know Sometimes I'll say it stocks volatile in a good way this stocks not it's volatile in the sense that it can't move But it's not really showing much direction in either way up or down So I'll add it to our list given the overall volatility But I like the SPR be more and we'll see if there's anything else that you know looks a lot better than this All right, keep it going here BLPH trying to show signs of life You know big volume spike came in shortly after 2 p.m. Eastern here broke over 305 306 For right now recovering as well here. It's made a nasty shake but popped right back up This thing's been a giant tease today, right? So I'm still pretty reluctant with putting this on our main watch list so far for the afternoon But in terms of the liquidity on the order book I like this a lot more in terms of the you know volume the liquidity out there on level 3 Compared to the GNFT. So I'll put this near the bottom of our list here as we continue to build it This and the GNFT will be near the bottom the SPR B for right now will be at the top Of course AMC right I mean AMC at this point will add to our list as well This stock took me by storm today took all of us by storm today I mean, you know, it's the second time this week actually where it was down And it was on the losers list this morning And we were expecting at least for it to move with the market as it did yesterday in the day before but Man this thing ended up just popping as soon as the market opened up or rather maybe shortly after the open Coiled up then broke out But you know, whereas the markets continued to stumble off going into the mid-morning here before the pop AMC was already lifting off So the Wall Street best people and they ended up getting the job done today Didn't they ended up pushing the sub from 24 up to 30 plus near 31 right now It's trying to build back up again make a you know higher low perhaps if not exact double bottom Little break under that 2950 actually pushed right back above it But yeah for right now, this is on the way back up to 30 and above so AMC will add to our list You day says it's because you didn't short it today. Well, no, I wrote to you earlier You day I said you got you you're the one that got them on me I shorted them the other day and you said that you're gonna get the Wall Street best people on me And I you sure did I'll tell you that much All right, I keep it going a UID little spotty chart like order book actually will pass it on it This one a little more interesting ROIV never really traded the stock before Waterbook is pretty thin, but it's showing a little bit more signs of life compared to that a UID You know where I talk about a spotty chart You could see you know spots points of inactivity or a very thin volume traded all together ROIV still has a thin order book, but you know showing signs of life on this move up here Looks like I don't know if it's a new IPO or if it was OTC then listed on the NASDAQ recently I'm not really gonna care to check, but what I do care to say is that the stock is at all-time highs At the daily chart stock set all-time highs no historical resistance to work with so for the meantime again I'll add this to our list. This one looks all right. I would like to see tighter spreads on this ROIV, but for right now I'm pretty interesting Let's just check level three here at the matrix. We'll just check to see if we're gonna have like any sort of big order that got filled recently Not really shown a bunch of volume traded off 11 or 1089 Likely the opening bell print or if anything from consolidation 1050 is definitely a big level Yeah, if it does pull back, I mean, I guess 11 would have to be the support But there's not even a whole lot of volume traded there. You might get supported 1089 1086 here if it does shake So just keep that in mind Keep it going keep pushing OPK familiar name testing kid stock We ended up trading them back in the beginning of the pandemic back in March of 2020 So, you know ended up getting a nice push-up today I guess just with all the the news and talk about Omicron That's nausea listening to it all and up or down either way I'm just saying so that's not what we're here to talk about either way this stock OPK is up just about 17 plus percent. It's like really that really flat That's the issue. It's like really slow not really moving around a whole lot It's at the highs so if it does break higher perhaps we can get a squeeze up to five bucks But it doesn't really seem like it wants to do it just yet DIY spotty this could be CLVS Clovis oncology, I was gonna get mixed up with clover health Clovis oncology, I don't know why they're up but pretty flat as well like the OPK trade at least I don't know. It's near the highs looks like some selling came in here pretty recently prior to 230 Let's just see what else we got here Kind of just skim around right now at this point look at so many familiar names Feel like you might have a bunch of these stocks that are like at or near the highs I don't know if they're all within the same sector or same business, but They're not really trading a lot of volume that it's not gonna really lead to a lot of volatility and It's like watching the grass grow really great So, you know BFRI familiar name ended up seeing the stock make a really nice run earlier this morning heading into the afternoon You know broke over seven pretty nicely ran off seven So you would like to think at least the first time it pulls back down to this level after it ran off it That it could be support, you know easy to say at hindsight But you know same play as the other one once it broke under and over ended up You know lifting off and you know in this case ended up breaking higher making a new run up For right now though the stock isn't really looking too good on the way up You know if you can't short it then you may as well just move on All right, so let's see what we got on the loser side here folks If there's anything looking just as good if not better mark, it's pretty flat right now So, you know, I don't know people find one one or two familiar names here. Let's say A bunch of cheapies below a dollar there on the top the losers list for right now Familiar name KTTA this stock was breaking all-time highs just oh my god I was gonna say this stock was breaking all-time highs like two weeks ago. No New IPO and we were trading it off. Whatever news came out at that time. Geez Well, we obviously haven't traded the stock since you take your eyes off the stock for a little while and all these folks. Oh my god Need to be in this trade right now. But yeah for right now this KTTA I was like expecting at least you know some sort of opportunity up or down maybe a dead cat bounce This looks completely dead See what else is out there Adgi familiar name. Hey, Adgi. We ended up trading the stock at least earlier on today You know bottom down pretty early on so it took a while for us to find the true bottom I ended up holding over 13 perfectly here, but it didn't break under and back over So like I was really like chomping at the bit for that exact move it held too perfectly I didn't jump in here and from this point I ended up jumping in off of $11 and 77 cents I told you folks in the chat board if you want to scroll up throughout the chat, you know from earlier in the Late morning, you'll see that I was calling out 1177 is a halt print level from yesterday You know it could have kept breaking but I ended up jumping in it was on a much smaller position size a quarter Quarter position size. You don't want to catch the following night So I wanted to add another just moved up it you know moved up at first So I took the quarter position up for a little bit. I ended up getting out right around 1220 ish I left a lot of money on the table at the time, but Entries an entry it's all about finding the big money for right now this trade is cooked though It's not going to do anything for us right now, or it doesn't seem like it's going to so I'd rather not us You know focus on it here too much It's just gonna probably break down lower. It seems no Tell you what not to seem lazy might seem lazy for me to just say this But like I don't really see any of any other familiar names here that we're like too fond of like oracles expensive We're not gonna trade that Rivians expensive not gonna trade that NU familiar name, you know from like the last week or two or so Yeah, YPO Not really doing a whole lot in terms of just I guess you could say it's inching up. It's tradeable. I guess but Don't really feel a need to put this on our list here for right now Ari says the RROIV is already heading on up. So you know what we may as well call it Oh, wow nice move up move nice move back on up here for this trade So it's been a long week a lot of talk But nonetheless, yeah I mean we don't need to add any more to our watch list when we have this RROIV pushing up SPRB Hopefully still in good graces pushing up pretty nicely who knows what's gonna happen with AMC and the reddit crew out there You know, they may look to add one more pump to a you know AMC. We'll see what else is out there folks, right? Otherwise, I'll just show Bitcoin pretty briefly not a whole lot to write home about either direction with Bitcoin You know it did pull back with the market. That's just really it and we know that's the case So here's a six-hour graph just showing what's happened over the last, you know, 48 hours or 24 hours since we last talked about it Hold the trend line pretty perfectly. So that's a talking point. I Mean, there's a few of them, but it held it pretty nicely a few of them and then drop back down So, you know, I told you folks I'm looking to add right around 44 or 5 it came pretty close down there I reckon this morning, but I didn't pull the trigger We'll see if it keeps dropping. Otherwise, if we happen to see more signs of life Then we'll figure it out from there But I think for a little longer will happen to see this follow the market mainly on the way down All right, folks I think that's all you got for me here for the rest of the afternoon Lewis says here the familiar note Familiar ones already ran in WKHS clove and BB. I forgot about those other ones like the reddit stocks Oh, yeah, look at look at a workhorse. You're having a decent day up over eight plus percent Right. What's AMC up to is this about a breakout still kind of lingering lingering around 30 That workhorse trade pretty interesting Lewis I mean all these are pretty heavily shorted and I haven't checked the short interest list in the last like week or two Like truly so I'm kind of going blind here But my bet would be that workhorse is still the most heavily shorted stock out there on the market Workhorse BTB T2 and on my dick on that swing trade that I ended up unfortunately taking a loss on I guess at the same time You could say I'm thankful it got out just under nine where I did But I want to add more shares to this trade on the swing side too once we happen to see Bitcoin bounce Given the short interest on it if if rising tide lifts all boats Then I would anticipate this to pop and if that's the case then in terms of short interest high short interest at least With the way workhorse is moving right now heading into the afternoon. This looks incredible Happy to call this one out Workhorse easily put on our watch list for right now. It's got a bunch of call outs here in cyber Really quick just let me scroll up on the chat. Give me a quick moment here folks Ari in and out for about 21 cents just now in the R. R. O. I. B. Stack got in from 11 28 out out at 11 49 Really nice exit Ari Perfect exit. All right, so back to Lewis at least for the meantime B. B. He's also calling out up over 5% Trying to make the push up that seems a little interesting as well Clothes at the high of the day. I think workhorse is making a stronger push if we're comparing the two All of them are tradable. I like workhorse the most though. So, you know, I'll put the workhorse trade on our main list PLTR testing the high of the day. Also. He says it is So I would put PLTR kind of on the second tier there with clove and B. B. But that workhorse though I like more as of now Oh, yeah, scroll down here. That's right. All right. What else we got from Patrick? He says GRTX Oh, yeah, this one looks pretty good too about time. This one starts going ended up teasing us really for the last Like three days like all week mainly the stock's been kind of teasing us since the pre-market push early in the morning on Tuesday For right now. Yeah for where it stands here near at the highs What we'll add this to John S says CODX the high of the day. This one's got a spotty chart. It's only trading 400,000 shares So this is no go car from norm just popped So probably get a lot more volume coming in on this trade soon Want to see more out of it will keep this on the sideline for right now But I appreciate the call on such a pop on this trade So, you know, we'll likely come back to this trade at some point BBBY pop during our meeting Yeah, it did. Yeah, it did just pop and it's up over 5% But Beth beyonds a sharper moving trade too So I would add this also to our list alongside that workhorse if we're looking at all those red reddit trades AMC obviously is already on here But out of the reddit trades at least AMC workhorse and bed Beth beyonds. I like this one too Geo EV at the high of the day says Brian Yeah, it is it is if there's a lot of stocks near the highs folks We can't add them all so I'm being very selective when I'm talking so Right now, especially given the pullback here a little selling coming in right around 910 and 907 I'm gonna pass on this for the meantime, but not a bad call. Just that About a few minutes go here. All right, so folks I think that were pretty much all good norm says here. Anyway, SPR be on the way up to four So we'll call it in total. We got about two four six seven eight I think eight stocks in total to work with not a bad list. All right So of course, there's plenty of others that are at or near the highs as we've seen so far I would rather you folks start stick with this list If there's other stocks that you want to follow keep that on the side Keep that to yourself unless if there's something that does make a really big pop like that carve trade If there is something that comes out and pops to the size of carve Then I would say it's worthy being called out in the chat board But I'd rather start and stick with this list here in the meantime Then we'll go from there. All right for all of a sudden Facebook and YouTube live Just as always I appreciate you sticking with me each and every day each every afternoon I'll type my email address here in the chat board as always You have any other questions or feedback or comments or thoughts before you want to join us in our live Trading room just send over a quick email to Josh at C2 trading comm if you wanted to make the plunge join us live In our trading room you could join us at any point throughout the week Monday through Friday All you got to do is go right down to the link on the banner below the stream there just to get yourself started. All right I don't know why I did stutter there at the end while I was stuttering through the whole meeting That was pretty odd But nonetheless folks will call it enjoy the weekend for all of us in social media for Brian for norm for Grant for John and for Ari for all of us. Otherwise, I'll be back on the mic later on today at 3 30 I'll talk to you all soon. Take care


Okay, it's official now the Baltimore Ravens will be taking on the Houston Texans this Saturday at M&T Bank Stadium at 430 p.m.  It was at the crib last time too So hey just have a repeat performance like you know You can have an even better performance than you had week one of this year because you weren't clicking on all cylinders on offense Not even on defense either but go out there. Do your thing Just like you did earlier this year and we'll be good to go.  I'm sure it's gonna have its moments of stress But again, I am confident that the Ravens whether it was gonna be against the Steelers or whether it was gonna be against the Texans Or even Browns or dolphins I was confident that Ravens that they will take care of business So Houston Texans they're gonna be coming in the M&T Bank like it ain't it ain't hit me yet The game at the game ain't hit me yet I guess cuz it's just been so long since like the real Ravens were on the schedule ever since that dolphins game And that dolphins game was on December 31st today Today's the 15th. So it was two weeks ago, but it just it feels like longer feels like longer And but we'll finally see these Baltimore Ravens man. The real Baltimore Ravens. We'll get to see them On Saturday. So in just what five days, right Tuesday Wednesday Thursday Friday Saturday Yeah, so in five days, we're gonna get to see our boys back And this is this is real man. This is real because it's playoff time. No more games No more did you already know man. We didn't already said the same stuff. You already heard the same stuff over and over It ain't nothing left to be said like we know who these Houston Texans are We know what they capable of but we know who these Baltimore Ravens are. We know what they're capable of The Baltimore Ravens under John Harbaugh, they really do a good job. Normally Against rookie quarterback now while CJ Stratton.  The Miko Ryan's is not your average rookie coach But I think the Baltimore Ravens and the experience that they have it it'll blow well for them in this matchup But we'll talk about that more throughout the week now The Baltimore Ravens did make a couple of roster moves leading up to this game this week and whatnot Because they released Laquan Treadwell from the active roster So he gets to go to waivers But he yeah, he'll be a free agent like by tomorrow once he clears waivers at 4 p.m And they also put Pepe Williams on injured reserve So his season is over. I guess the Ravens just felt like because they brought him back they brought him back, but He ain't really play if at all. I don't remember him playing at all But anyway, his season is done and Laquan Treadwell I mean you figure that his season will be done with the rest They signed him back to the practice squad But in order for them to sign him back to the practice squad They had to call somebody out from the practice squad to take his spot So we'll see what happens with that but bottom line the Baltimore Ravens opened up two roster spots Who will those two roster spots go to? Initially when the news first came out that they dropped Laquan Treadwell and they put Pepe Williams on injured reserve I was thinking oh Mark Andrews and Dalvin Cook but then I was like hold up but Dalvin Cook is not a necessity that you put him on the active roster Reason being he's on a practice squad. You got you can do three call-ups For the vision of ASC Championship and Super Bowl usually you ain't got to worry about that You're straight as far as call-ups you good and if you want to you can protect him on a practice squad I'm not sure how to practice squad rules work now that you're in the playoffs if another team could sign him off your practice But Dalvin Cook is good with he yet. He can stay on a practice squad You can just call him up for the game and you'll be straight So that one cook I don't think they're gonna put him on the active roster But there is Ardarius Washington and somebody reminded me of us. Oh, yeah, Ardarius Washington He did get designated back to return But the second step is actually putting him on the active roster So that could be a move especially with them releasing Pepe Williams. You don't want to make a secondary Weaker you don't want to have less depth So it would be would make sense if it was a corresponding move if they just switched out Pepe Williams For Ardarius Washington now with Laquan Treadwell with him being a wide receiver Again, initially I thought Mark Andrews, but then with him being a wide receiver. It's like oh, okay. Well There you go Do the Devin DuVernay Devin DuVernay who he's been designated to return what two weeks ago? No last week I think but he got designated to return so they could put him on the active roster as well So that would make sense for that with Mark Andrews Because yeah, that that would be them running out of roster spots right there If they if and when they do end up activating Mark Andrews They're gonna have to open up a roster spot where that roster spot is gonna come from No clue, but it kind of come from somewhere So somebody gonna have to be released somebody gonna have to go to IR one move that I could think of just off the top of my head would be if they would end up releasing Melvin Gordon if they release him to open up a spot for Mark Andrews anybody else I can't think of anybody else off the top of my head. I'm sure there's somebody there. There's obviously somebody there, but just Thinking out loud. I can't think of who it will be as of right now But the good thing what I really appreciate about this Baltimore Ravens team right now There's no pressure on this is like pressure But no pressure on Mark Andrews to come back. It's pressure on him himself because hey He wouldn't be a part of this obviously who wouldn't look with what the Baltimore Ravens are doing look how they've been doing but There's no pressure on them because Isaiah likely has been amazing. He has been great I was talking to my guy yesterday and he said he was a little hesitant about the Baltimore Ravens bringing back Mark Andrews not because of an injury but because he said he feels like this will This could create tunnel vision for Lamar Jackson if Mark Andrews does end up coming back and he feels like the Baltimore Ravens just complete They play completely different when Mark Andrews is on the field and he feels like Lamar is gonna force the ball to Mark Andrews when he's on the field and I see what you're saying. But at the same time, I disagree. I just feel like with Lamar. He's just He's taking another step forward even when Mark Andrews is still healthy I don't feel like he was force-feeding him like that Because they've been able to get it in so many different ways. They've been able to score and produce in so many different ways Mark Andrews would definitely get his especially if he's on the field But we got other options too. So I think Lamar's eyes will continue to rove about the whole field I don't think they would just be locked on a Mark Andrews and he will only see 89 and that would be it I do see what you're saying, but I just I think it would be fine And again, the more weapons you got the merrier especially if Mark Andrews could be out there if he could run and run after the catch and whatnot and just do his thing then that that would just make Lamar Jackson a job easier that will make all the other receivers and past catch his job easy and just Ravens Offense has a whole it will make that job a lot easier and y'all know we've been saying for years That's what we all about people's jobs being made easier But the Houston Texans they gonna have something to say about the Baltimore Raven Super Bowl hopes being made easier Because they gonna come in and I know they're gonna want to be annoying They're gonna want to ruin our hopes and ruin our season, but we know them Baltimore Ravens They ain't gonna let it happen But yeah, this should be a fun game. It's gonna be a fun week leading up to it Can't wait. I can't wait. I'm patient right now But as the week goes on especially when it's Friday, that's when I'm gonna get the shaking and stuff and when it's Saturday Oh, man, yeah, we gonna be going crazy, but it's gonna be a good time Yeah, I know we're gonna be back here for the stream on Saturday looking forward to seeing all y'all there And it and shout out to anybody going to the game. I know a lot of y'all gonna be going to the game It should be fun. It should be loud.  I love y'all. I appreciate y'all and just like the Steelers are now when it comes to being in the playoffs We out