Είμαι ο Ψηκόπηλος. Ευχαριστώ για να είμαι εδώ. Θα συνεχίσω πιο λίγο την προηγιότητα. Θα δείξω πώς δημιουργήσουμε η γεωγραφία για η μπροστιωματική. Μπορείτε να νομιστείτε από αυτήν την καλύτερη επίπεδο για την αντιμετωπική και γεωγραφική αντιμετωπία. Στο πιο λίγο την αυτοκλίνηση θα δημιουργήσουμε πιο σημαντικές δημιουργήσεις για τα γεωγραφία και τότε θα δώσω δυο παραδοσιασμούς πώς μπορείτε να συνεχίσετε τα γεωγραφία στην μπροστιωματική. Ο μπροστιωματικός μοδελ που μπορείτε να έχετε για εργαία είναι το εργαίο εργαίο. Το προβλήμα είναι ότι υπάρχουν κάποιοι που πιστεύουν και ότι είναι το μόνο που είναι το μόνο. Θα πάμε για κάτι πιο ρασσιανό. Θα πιστεύουμε ότι η αυτοκλίνηση έχει πιο μοδελ. Έτσι, έχουμε ένα μπροστιωματικό μοδελ, έχουμε ακρισία μόνο εργαία. Είναι εύκολη γιατί μπορείτε να χρησιμοποιήσετε ένα γεωγραφικό γεωγραφί. Είναι πολύ σύνδρο και σύνδρο αλγότητα. Αν θέλετε να πιστεύετε ένα πιο ακρισμό, μπορούμε να αυτοκλίνουμε ότι η αυτοκλίνηση είναι σφεία. Αυτή η αυτοκλίνηση που χρησιμοποιήσαμε, για παράδειγμα, στην Google Maps, δεν είναι πολύ ακριστή, αλλά είναι καλύτερη. Και έχουμε σύνδρο αλγότητα. Θα πιστεύω ένα μπροστιωματικό γεωγραφί. Έτσι, έχουμε ένα μπροστιωματικό μοδελ, που είναι η αυτοκλίνηση της αυτοκλίνησης. Αυτή η αυτοκλίνηση είναι αυτοκλίνησης στην Πόλη. Και αυτή η αυτοκλίνηση της αυτοκλίνησης στην GIS, σφαρδένου, και τώρα έχουμε περισσότερες αυτοκλίνησης για να αυτοκλίνονται. Και φυσικά, αν θέλουμε να πιστεύουμε πιο πιο, μπορείτε να έχετε γεωγραφίες, όπου έχετε also the center of the mass of the earth, και αυτή είναι για αυτοκλίνηση σφαρδένου και γεωγραφίδικου. Βλέπουμε εδώ, στην Βουστιωματική. Δεν κάνουμε γεωγραφίες. Βλέπουμε εδώ, κάποιες τύπες. Είναι ένας κορνέδος σύστημα στην Βουστιωματική. Έτσι έχουμε ένα καρτύσσιο τύπ, και έχουμε ένα σφαρδένου οικογραφίες, παραμετρικά από ένα δικοίτη ή ένα ρεδιάν, και έχουμε also the geographic. Το geographic είναι αυτοκλίνησης, στην τελευταία αυτοκλίνησης, και αυτή είναι η σφαρδένου, και αυτή είναι η σφαρδένου. Οι πιο πρώτοι αυτοκλίνησης στην Our Study είναι οι γεωδέσσεις, οι οποίες είναι οι καλύτερες πράγματα με 2 σπαρδένου. Στο βαθόνιο, το γεωδέσσιο είναι μία σπίτι. Στην αυτοκλίνηση είναι ένα καρτύπιο κέντρο, γίνετε το κέντρο, και ανταξύξετε με ένα κορνέδρο που μπαθάνε στο κέντρο, έχετε ένα καρτύπιο κέντρο. Στην αυτοκλίνηση, το γεωδέσσιο δεν είναι κλείδρο. Αυτό σαν να μην χρυματιστούν το γεωδέσσιο. Σε αυτό, τίποτα, δημιουργεί η καμπλεξίτητα και για τα αυτοκλίνηση. Εδώ, σαν να βρεις τι σοχεία στον αλυπσό της, αυτό είναι ο γεωδέσσιο. Δεν είναι κλείδρο, οπότε ούτε αυτοκλίνηση με ένα κλείδρο. Και δεν έχει δικαίωση. Από την μεραίδηση της εμφανίκης. Προσπαθείται την μεραίδηση της εμφανίκης, τελευταία σύγχρονη. Δηλαδή είναι πραγματική ελευταία. Αυτό είναι μόνο που υπάρχει also this loxodrome or ramp line that you can see in maps of if you use the marker projection so if you draw a line there in such a map then this is a curve of same angle that crosses the meridians in same angle or azimuth and the great circle there the shortest path is not of course that ramp line but goes around. So this is just not confused loxodromes with geodesics or loxodromes are easier to to compute so we want to compute geodesics the shortest paths. Okay so these are two main problems in geodesy and this will be used as core procedures to build more complicated algorithm so we have the direct problem when we are given a point the azimuth which is the angle and a distance and we want to compute the point which is that distance away and it's the given angle so it's like navigation and then we have the inverse problem when we are given two points and we want to compute the distance and also the angles. So having this assume that somebody gives us this implemented then we can start building some core geodesic algorithms like point to point distance area of a polygon or other objects intersection envelope all this kind of algorithms and then they are using this we can have higher level algorithms of like geometry distance like distance of a multipolygon with another crazy multipolygon and then we can have a set of set operations in geometry like union intersection etc. and relational operations and this can be used if we want to build the spatial index. So the main problem here as you maybe you can realize is the distance of two points so all of these algorithms need to compute the distance between two points so in flat you have you knew everything from primary school it's a Pythagorean theorem it's quite simple and also simple to implement it then for sphere okay again maybe high level not primary school but high school you have again we have a closed formula it's easy to implement using some trigonometric functions and then when you are in the ellipsoid there is no closed formula so this is the equations that connect the distance which is s here with a longitude latitude which are lambda and phi so I will not of course explain this format just have it here for illustration of how the difficulty goes and you can also two points here two comments you can realize that going down we increase accuracy also we increase complexity which means that our code our implementation will be slower okay so what we do in boost geometry we have different formulas which are selected internally by with respect to the coordinate system so as Adam shows the coordinate system comes together with a point so if you define a point with that is geographic and then start applying algorithms on this point or geometries that you construct with this point then internally the boost geometry will call either the more complicated algorithms for spheroid or if you have your point your point wants to be in on the sphere it will run the more easier faster but less accurate algorithms for the sphere for example and also this is in more detail we have for ellipsoid we have three different algorithms that are these three okay we call them strategies and there are three different ways of approximating the distance and there are some space some time accuracy trade-off so the first is less accurate but faster and so on and so forth and we follow the state of the art approach which is that in all these geodesic problems actually you solve a spherical problem which is easier and has a nice closed formula and then you do some ellipsoidal correction by solving some integrals that are similar to the ones I showed before either by series expansion or numerical regression we do series expansion which is enough to have a good accuracy if you want more details we can discuss it offline so I think this is enough for the details of the implementation so again I will give a similar example as my colleagues I'm from Athens so I calculate the distance from my home to the event I use boot geometry for this probably you have understand from Adam's talk what all these definitions are about here I also define a spheroid and I define the strategy which is let's say Thomas it's one of these three strategies that I show before and then I ask to compute the distance from the point which is Athens let's say Acropolis which is more fancy and the other point which is ULB Brussels here so and I say that I want to use this strategy and then I do the computation if I remove the strategy from here the default strategy will call and also if I go here and put instead of geographic into the point if I say that these points are spherical then the same code will compute the spherical distance ok so I run some examples with with boot geometry and these are the results so with spherical I have this distance spherical here I use a different radius so these these are both spherical but with different radius and as you can see the same as Google Maps so Google Maps give me this distance which is the same as this one so this means that we understand that Google Maps using uses the formula that I showed you before for spherical and also assumes that the radius of the earth is this one which is the mean as to reduce you can also use the WGS 84 major axis of the ellipsoid make a bit a bit larger radius and you have a more accurate result but I guess this happens only this example this does not mean that if you use this radius you have more accurate results the only way to have more accurate results if you want is to use the geographic so these are the three different strategies that we have implemented at Doyer, Thomas and Vincenti and as you can see the divergence is quite small between them and the result has something like two or three kilometers difference from spherical which is a Google earth ok so a normal question here is again what's the performance but the actual distance is no should be the actual distance how do you compute the actual distance no one knows a survey engineer should start from Athens and start shooting yes so ok another example so this is a Brussels Center it looks like a Pentagon so I just created a Pentagon and I asked for Google Maps to compute the area so Google Maps compute that area we'll show it the second slide yes before showing the area of Google Maps I use Google Maps to compute the area and then I put the points inside the Boost Geometry to compute the same area with Boost Geometry as you can see this is similar to the previous example I have again a strategy for area which is geographic and is parameterized by the Vincenti formula you can parameterize it with Andoyer or the Thomas and then you create one strategy and you plug it into the computation of the area if you leave it as it is so if you remove it this and you say area poly it will use the default the one that we believe is better but you can use your own ok and these are the results here again Google Maps looks at again it's using this mean Earth radius and gives this result and these are the results with geographic algorithms here the even in this smaller example you can see that again there is a difference in accuracy ok so performance what is expected is that the spherical is less accurate and then Andoyer is also is a bit more accurate Thomas a bit more accurate the most accurate one is Vincenti this we know from the theory how these algorithms are working ok because you you know how these algorithms operate so actually these algorithms create some series and this algorithm let's say very high level cuts the series in some small order this goes to a higher order and this is using the using more using a better algorithm for with Newton iteration so in theory this this computes a better a more accurate result so ok we don't have a detailed performance analysis and it seems that we also don't have a accuracy analysis that a lot of people seems that the question but yes I don't know if you have feedback or where is a database of accurate distances we could try to see the accuracy to make a study but also it's interesting to do a performance analysis of these of these implementations and yes we have some timings in github pull request so while we do the pull request of these features we also write some tests for in our computers but ok of course this is this not a detailed performance analysis ok so similar work there is this library which is called geographic lib it's it's again C++ and also implements similar similar algorithms it's robust and it's fast as far as I as far as I know and it's also used in post GIS from this version and on the thing is that it lacks a variety of algorithms so it only gives you the distance area and some special projections so we are going to we are even now have implemented more in boost geometry and yes just a tip of performance just testing in my computer geographic lib for distance and our algorithms for distance our implementation is faster but of course this is not a performance analysis but it seems that at some point we have a faster implementation ok that's it about the related work and let's go to future work we are ongoing this is work in progress we are implementing more algorithms for ellipsoid like a segment segment distance more projections convex hulls and droids and actually we also want to have all the relational operations that are going to be used for spatial indexing and yes this is an open problem I mean this is an open feature we don't support distance of near at the portal points in geographic algorithms so this is something that at some point we want to implement in boost geometry and also we are thinking that's why we have this face there of Google summer of code proposals but we don't think we are not sure if we propose something but we are thinking of some project so yes keep in touch if you are interested and yes that's all Can you repeat the question? Ah yes the question is if one can implement its own coordinate system but what does it mean its own coordinate system I mean something, I mean how do you define it? There is an internal number of metric with overflow exploding overflow for calculation distance on coordinate and it's quite specific and it differs from any Cartesian or spherical or spherical system it differs Ok so it's a special coordinate system so I guess if you want to do this you have to at least implement how the distance between two points is computed at least this and then you can probably use all the other algorithms that use the distance as a main procedure but then for example for area you have to area cannot directly call distance it's a different algorithm so for area for example it depends on what you want to use for example if you want perimeter you can implement distance and then you will have perimeter for free but for area for example you have to implement again an algorithm that computes the area of a polygon but I guess this is you have to implement at least how do you measure the distance between two in this coordinate system Yes yes yes union and yes I think I had yes yes there is so the operations are there you can perform union of polygons for example if the polygons are Cartesian so the algorithms will remain the same but somehow we have to do the work of plugging in the the geographic system for example if you want to do in unions of geographic polygons Yeah just go one more question it's good We have also the comparable distance which is supposed to be much faster Ah yes Yes So this has to do with square roots you don't compute the square roots and yes I haven't think of it but it's not straightforward because you don't have a square root you have some iterative method that approximates some integral actually so I don't know how can you gain from this but maybe maybe you can do something not end the computation at some point when you know that the one computation is the one result is larger than the other maybe you can stop it something like this yes this could be useful Thank you Thank you


My name is J.V. I'm a school trainer in Nepal. My name is Nira Chawlagal. I'm also a school trainer in Nepal. And we are here in Culture, Orientation Centre, Nepal. Let's get into the class. OSCO is a worldwide program that takes place in many countries. Once grants are made by an Australian Embassy, the names then go to the International Organization for Migration, where we get people ready for their trip to Australia. Part of that preparation is the OSCO course. Here in Nepal, courses are taught by Nepali trainers because Abut needs themselves our ethnic Nepali, so they have a common culture and speak a common language. We have two trainers here. Both of them have been to Australia on numerous occasions. They've studied the refugees that have gone before and seen their experiences there. So they're well qualified people on both sides, the Australian side and the Bhutanese. The OSCO course is five days long. In that five days, we cover everything from how to shake hands in the Australian way, how to use a Western toilet, to issues with family violence and how to answer interview questions. I think this is very important for the refugees to start their new life in Australia because they have very unrealistic expectations before they travel to Australia. So we make them to prepare for their new life managing the real expectations. So this is very important.  We call them that they are getting a new birth. So for them, OSCO class is really important because they are not used to modern equipments and even the life in a developed country. They have been living in refugee camps since 20 years. Before that, they were living in underdeveloped country. So for them going to a challenging place, it's really important. Through the OSCO course, they gain three things. They gain knowledge about things that they don't know about. They get skills and they get to explore attitudes about things like family violence, the changes in family roles and so forth that they may not have considered. OSCO class is not a kind of traditional class. We have our different methodologies and teaching principles. We try to tell them that you are your first resource. Take charge of your own learning. We deliver the OSCO training as an interactive way, active learning. When you get to go to Australia and when you see them, the participants a few months back who was struggling in your class, who was really nervous and today, when you go there, they ask you, okay, do you want to take a ride in my car? Or they just want to show their new house. So that's really satisfied for me. Experience OSCO training is really overwhelming for me because I'm not only teaching them but I also get to learn so many things from them as well. And I have met so many refugees in Australia. We get emails and phone calls from there and they really appreciate our work. So it's really, really, really appreciating for us.


Thanks for staying with us. Drug abuse poses greater problems to the socioeconomic and political stability of any nation, while also disturbing her sustainable development. On the United Nations International Day Against Drug Abuse and illicit trafficking, Christ Against Drug Abuse Ministry organized the Work in Legos to sensitize people on the dangers of drug abuse. The theme for this year's International Day Against Drug Abuse and Illicit Trafficking is Share Facts on Drugs and Save Lives. The recent World Drug Report of the United Nations Office on Drugs and Crime states that 271 million people aged between 15 and 64 years abused drugs in 2019. That is about 5.5 percent of the global population. For the Christ Against Drug Abuse Ministry, it is a time to take a walk and create awareness on the negative effects of drug abuse. It's even gone higher. The country representative of UNODC said it's getting close to 20 million, so you can begin to understand the trend, the increasing trend across the world, particularly in Nigeria in age 15 to 64, of people doing drugs. And the preponderance, even in that prevalence, is between ages 25 and 39, which is the economic belt of any nation. And so we need to worry about this, and we need to do something. We have found out that a lot of people actually go into drugs because they don't know the implication of what they are doing. They don't know the aftereffect. So we feel that since there are not many organizations that would treat the drug user, it's better to prevent as many people as possible from going into drugs. Yes, I've actually been down that road before, so I know what it feels like and I know what it means to have a problem. You cannot tell anybody or maybe your family member doesn't know who to turn to.  It's something that you can't start it easily, but to stop it is actually a problem. On the recent move by the Ondo state governor, Akeridolu, to legalize cannabis for economic reasons here are their thoughts. In fact, that cannabis should not be legalized. For somebody like me that have been down that road, it started with cigarette and cannabis, but ended up becoming a crack cocaine and heroin addict. Cannabis is always the gateway. If you go to psychiatric hospitals, 70% of the people there that have psychosis is being induced by marijuana. So we're just going to have a lot of mad people on our street. And I agree entirely with General Mabuba Marwara that we cannot even contemplate it. We can control ordinary paracetamol. The use of all these basic drugs, how then do you want to control the use of marijuana? The boarding of drug abuse is on the rise and becoming a public health concern in Nigeria. Studies show drug abuse fuels criminal activities like theft, burglary and shoplifting. Abuse of drugs can also lead to mental health problems and death. The United Nations say there were at least 585 such deaths in 2019. Destiny Momo for PlusCV Africa. Also countries have been advised to discourage legalizing the use of addictive substances such as cannabis and marijuana. The theme for this year is share facts on drugs save lives. Our correspondent Adebanke Odunoyi has more. Opium, cocaine, ecstasy, these are a few of the names that come to mind when drug abuse is mentioned. Drug abuse and trafficking is a world that has been fought by the world for hundreds of years. And in order to express its determination to strengthen action and cooperation, the United Nations decided to observe 26th of June as the International Day Against Drug Abuse and Illicit Trafficking on 7th December 1987. This year's theme is share facts on drugs save lives. Speaking on strategies to end in this menace, a former drug user and founder of Global Center for Drug Eradication, Keji Hamilton, said children should be taught about drugs and their effects while parents must be educated on drugs as well. So I think now we need to start to do differently. We should try to develop skills among young people so that we stop going to drugs because another thing we start to have to do differently is we should try and stop stigmatizing those who use drugs as if they are good people or they are not serious about life because going into drugs is not the final stage of a lot of things that have been piling up in the emotional tank of every human being that are going into drugs. On the issue of illicit trafficking, he said some highly placed people cost the high influx of drugs. We really need to fight the drug market itself, which is something I think is quite impossible. Why? There are nations who drug trafficking makes for their GDP among the nation names, you understand. One, number two, there are people that are high up there, the caliber of seats of power that are actually sponsoring drug markets. Countries such as Canada, Georgia, South Africa and Uruguay have legalized cannabis and Nigerian lawmakers have a bill considering the legalization of marijuana. This was described as a bad idea. But if you ask me from that personality that, okay, did you think that cannabis should be legalized? I would say no, it shouldn't be legalized. Why? Because I know the effect of cannabis on the brain of anybody that uses cannabis. A report done by the UNODC said that non-medical use of cannabis and sedatives increased globally during the pandemic, reporting for Plus TV Africa at a bank at Odenui. The International Day Against Drug Abuse and Illicit Trafficking is an expression of UN's determination to strengthen action and cooperation to achieve the goal of an international society free of drug abuse. Now to Benway State, where Governor Samuel O'Tom wants the federal government to help stop the invasion of farm lands by his men, the governor said this will remove the fears farmers face as they get set to embark on full-scale farming during the cropping season. He stated this while flagging off the distribution of improved seedlings and crops to thousands of farmers. Benway State is known as the food basket of the nation. It's still known by that appellation, but the amount of food produced has been badly hit by insecurity and cases of cattle eating up farm lands. Governor Samuel O'Tom is mindful of this and he's here to distribute improved seedlings and crops to 22,400 farmers across the 23 local government areas of the state. O'Tom says the seedlings and crops were high yielding and drought tolerant. We are going into watermelon production, a mass, and where the seedlings are here, these are false efforts we have experimented and we discovered that they can do well here. And we're not just looking at producing maize for consumption. We intend to massively produce it just like we produce soil beans. The Benway State Commissioner for Agriculture and Natural Resources, Timo Tijir, on his spot calls on the private sector to engage in the production of improved seedlings so they can be readily available to farmers. These achievements are coming despite the challenges that the governor and the government of Benway State are experiencing at the moment. This seed program is very timely. Now that have created an enabling environment for our farmers, especially the IGPs, to return to the essential homes. Those people that said that was not possible, that is what they are doing now. We want to thank you on behalf of the chairman and the management to want to thank you for what you have done. The flag of ceremony had 4666 improved rice seedlings, 230 bags of maize seedlings, 690 tins of melon seedlings and 10,000 cassava stems. The governor reiterated that it is part of his bid to push the state back to its status as the food basket of the nation. Now rounding of this week's edition is the fire outbreak report that raised down a store that contained hospital beds, mattresses and other valuable items worth millions of Naira, the specialist hospital in Yula, the Adamao state capital. The fire service of the Federal Medical Center was other seen to put it out. A fire truck speeding and blaring its horns to catch up with an urgent task, to salvage what is left of a fire outbreak at specialist hospital Yula. A crew of 10 men quickly work to evacuate the crowd and fight the fire with water from these hoses. Because of the fire is not yet known, so the people here speculate. And they say even the neighbor light is not there. They say the chemical are the thing that worst are the thing. Mohammed Usman is one of the first persons that arrived the scene when he saw a thick smoke billowing from the hospital. We just there inside there we see fire. So now we run, come to see where the thing happened. So we come see now for general hospital. So we just enter after we come before fire service came. The chief medical director of Yula specialist hospital, Dr Dawoda Wadinga, describes the extent of the damage. When I came in I saw our store, one of our store on fire. And this is a store where we keep our mattresses and beds. And some other items inside. The specialist hospital Yula is the second largest health facility in Adamoa state. Medical supplies stored here are now ashes, but no life was lost. Though property worth millions of Naira were destroyed, it is good to note that no life was lost. And that's a wrap now. But before we go, let's remind you to follow us at Plus TV Africa Facebook and Instagram and do subscribe to our YouTube channel at Plus TV Africa. I'm Jacinta Rubuco. Thanks for watching.


Today's episode is sponsored by Surfshark VPN. Yo, what it do? It do not much with me. Your favorite purple film company, Lymography, released a brand new color negative film stock. Yeah, you heard that right.  It's a new color negative formula that you've never seen before. And it's finally here. It's called Lomo 92. I don't know why it's called Lomo 92. So literally don't ask me. I swear to God, if I see that in the comments even once, I'll have to chug a flaming hot Mountain Dew or something. It's entirely possible.  Lomo was kind enough to reach out with a pre-production role for me to test. My upstairs neighbors are making a lot of noise because they have no spatial awareness. But like always, my opinions on it are my own and I'm gonna use whatever nouns, adjectives, or LaCroix flavors that I want to. No holds barred. But listen up, mother. I should probably level with you. I have grown very weary of doing film stock reviews and I don't much care for it these days. That's it, there is no but. So with my usual optimism at an all-time high, I hit the deep, sketchy underbelly of L.A.'s farmer's markets for some street photography with Caleb. Okay. Anyway, I grabbed my Nikon F2 and shoved some of this new unknown Lomo 92 straight up the heart of darkness. I'm waiting for the day that I open up back to load film and there's film in there. It's gonna happen eventually. She's done it before. No, I haven't, I'm perfect. Okay. Lomo 92 was a 400 speed film, which is a good ISO to chill at for most things. A lot of the pre-production samples that I saw of Lomo 92 looked like maybe they could have used a little bit more light. So I preemptively decided to shoot this role at 320 ISO just for a little extra sauce. Other negative film generally does well with overexposure anyway. Shooting street or in this case, farmer's market in L.A. is definitely a different experience for sure.  In New York, it seems like literally no one gives a sh** and that's kinda nice. But before we dive any deeper into Lomo 92, I'd like to first thank today's sponsor, Surfshark VPN, for making this all possible. Uh-oh, I'm on the floor because I was blown away from the computer by today's amazing opportunity. Here's the rub. If you're like me and you're constantly moving through different markets across the globe, you may start to realize that there are geo restrictions on some content and that's not super cash money for us. Enter Surfshark VPN. VPN stands for Virtual Private Network and one of the reasons that Surfshark is so popular with online consumers these days is because it can change the playback location of your device, like cell phone, laptop, refrigerator, door, whatever you use. Personally, I use Surfshark to access in-market games that are usually blacked out. By simply switching my VPN's network to somewhere out of the area, it unlocks access to in-market games so I can continue to watch my teams lose over and over again. But wait, there's more because there's always more. Security, it's important. Have you ever used Wi-Fi that was open to the public? Probably. Public Wi-Fi is the best way for tech-savvy outsiders to rip into your data and personal information. But worry not, you can take preventative action with Surfshark and secure your data by effectively masking your IP address. That way, your personal information remains private in public settings. And what I personally love is that Surfshark offers a 30-day money-back guarantee. So what are you waiting for? Get it while it's hot. You can find the link to Surfshark VPN in the description below and you can use code grainydays to get an extra three months of Surfshark for free. Lomography has been doing some interesting things over the years and personally, I think they've gained some respect from me. Sure, they do make some film stocks that make you question if reality is just a trip on Toad Venom but they also put out some stocks that aren't half bad.  Lomo 800 is another film stock that's just downright filthy as well. But is Lomo 92 a solid addition to their portfolio? Upon first impressions, yeah, I think so. It's definitely very blue and not just like normal blue. Advanced blue, which kind of leaves a lot of the other colors of the spectrum to not really have so much of a fighting chance. It feels to me like a cool summertime film. The way it renders the color blue is very interesting and I think it would probably go well with warmer colors. Like this shot with the tablecloth and the overhead yellow canopy contrasted against the turquoise blue sunlight spillover. Hold up. Did the PCP just kick in or does this film stock have a slight halation to it? Blue halation. I guess halation can be any color depending on how the layers of the emulsion are stacked. I mean, it's pretty well controlled and it doesn't really appear in most shots. It could be a lens artifact, edge chroma or whatever. The problem is I've never really seen that kind of artifact with the Leica R35-70. It's a super sharp and well corrected lens, even on digital. Let's see, here's some high contrast Kodak gold that I shot with the same lens and camera setup and I'm not really seeing anything similar, which leads me to believe that it is coming from the film. Weird. Cool, but weird. I would go so far as to dare to say that this film stock almost kind of seems like it leans maybe a little bit more towards the tungsten white balance. The colors do look a little bit colder overall in direct daylight and then more normal under artificial light. But what does normal even mean anyway, right? My hot male doctor hasn't seen a normal heart rate for me in years. Grain, yes, it certainly has that too. I would almost say that this stock leans truer to a 250 ISO film stock, but that's just kind of a guess. I don't know if Lumography's gonna do that thing they do where they give you an ISO range to shoot at. My pre-production role said 400 on it, so that's probably that. I mean, who cares anyway? ISO is made up, it's a construct, just like taking vitamins and eating vegetables. Anyway, after wandering through the nearly endless farmer's market maze like Tri-Wizard competitors Cedric Diggory and that other guy from that one movie, we grabbed some food for a quick lunch. Wait, you're too cool for it? It's disgusting. To show you kind of what we're working with as sort of a base on this film stock, in Negative Lab Pro, I left all the settings on the default pre-saturation and the Naritsu color model in the control panel. Usually I left the tone panel to default lab standard and the white balance to auto-neutral. No further adjustments were made after the fact, except that I cropped the images to four three, but that's just a personal preference.  Anyway, as we clearly wandered into the red light district of the farmer's market, I started to ponder where this film came from exactly. Don't get me wrong, it's cool that we're seeing a brand new film stock in 2023, but one does have to ask themselves, how is that possible? Lomography doesn't actually have a factory itself to manufacture film and it's kind of a hard process because it involves chemicals and chemicals explode sometimes. It's hard to say where it's from exactly.  Either way, here's the little cheat code for this film stock. Shoot warm colored things with it, like orange, yellow and red. The stock leans bluer than a smurf taint, so if complimentary colors and the whole Hollywood teal and orange thing has taught us anything, you can't really go wrong pairing these two tones together. Like this. Not exactly a great photo, but the colors sure do grab your attention nicely. Anyway, that about does it. Of the 36 exposure roll, I had about 30 keepers, but that's kind of a vague term here. I was really more focused on giving you a sense of how the film performs instead of anything that really flexes my creative muscle. Portfolio shots, I don't know. This one's my favorite because of the colors and this one is an honorable mention as well. Closing thoughts, I don't have many because critical thinking is dangerous headache territory. I would say overall, Lomo 92 has a nice vintage look and that's kind of a good thing because it's quite different than other film stocks that are currently available. It almost kind of has the same feel as like Lomo Metropolis, except if Lomo Metropolis had color and wasn't diagnosed with depression. The colors aside from the color blue render in a very pastel way, which is nice. And there seems to be some magenta coming in from somewhere. Maybe the highlights, I don't know. At the moment, all I do know is that this film stock will be coming to 120 and 110, probably people out there who say that size does matter. But hey, Lomo, where's four by five and eight by 10? I would happily extend my pledge to get a Lomography tattoo if you deliver this emulsion in large format. And yeah, I guess finally if this film stock was a LaCroix flavor, it would probably be a passion fruit, maybe. Not quite God tier guava, but not nearly as as cold medicine cherry blossom. And just a casual reminder because aggressive reminders are unnecessary sometimes. Today's episode was sponsored by Surfshark. You can find more information and some links in the description below.


Hey guys Working on the Jesus bolts. I got a tip for you. If you don't have a garage with packed with tools like torch Maybe a grinder saw saw some heavy machinery then Don't even attempt to remove those bolts for those who don't know let me show you so that's the Jesus bolt in question It's basically these longest bolts that go through the bottom of the knuckle and attach the both I Guess the front and rear rear control arms to the knuckle now This guy The other way this guy used to be here as you can see this is cut and that's still stuck So the issue with these is They get stuck inside the bushing the inner metal thing That's attached to the bush or the bushing is attached to so this part is Part of the bushing that's the bolt it gets also gets stuck in here in here and obviously the same as The other side over here As you can see everything is out so This is the very first time ever During the life of this all six STI that they've been taken out never before. That's why they're so stuck so I Don't know how the newer STIs are probably a different Concept, you know, but if you have one of these and it's in good shape You plan to keep your Subaru for a long time Do these bolts you're gonna have to do them sooner or later Now I'm doing this because I'm taking the diff out for the fourth time or whatever it may be Because one of these bearings the attack or known the coasting bearing whatever you call it right about here It's making noise when coasting. I hope it's the diff and it's not the transmission fingers crossed So yes, you can take the diff rear diff out without Removing those bolts out of the knuckles now if you're doing the diff You're taking it out yourself. You got you know, you obviously, you know Somewhat what you're doing, but what I have done many times before is you undo the inner parts of the control arms the bolts These guys here.   I can show you on the car What I'm talking about. So these two this is where the control arms Connect to right so front control arm rear control arm and this is where the That the adjust alignment adjusting bolt is so the CV boot is going to be right here and this bolt will have to come out this way Right from left from right to left So what do you do?  So what you do when once you undo these nuts from the back, right? then You want to on the knuckle itself You want to raise it up? Always as far as you can until you're starting to raise the car a little bit. Okay, you know stop once you do Then that axle will rise up.   I'm still gonna take this lateral link out There's a bushing on a replace and there is another still hot and This rubber bushing also and obviously I'm gonna get well already have these all eight bushings for the controllers and these are Super pro blah blah blah injured engineered to outperform. We'll see about that Made in Australia, so I'll show these later once I'm ready to install this all this So yeah, just a kind of a quick talk. I don't know take it as a tip or not, but First what I found because you know you can hear it all up. It's not gonna work. You're gonna burn the bushings Obviously, it's gonna be easier to if you take this out, but if you're not like to I guess the This one is still attached by the parking brake line so you have to dismantle Your parking brakes to be able to take this line out There's a pin once you have all the parking brake shoes and whatnot Out then you can pull. There's a you know pin. It's obvious guys on one of these shoes. There's a this line hooks up onto this shoe and Then you hunt and hook that which is easy. It's like doing brake drum brake a brake drum shoe job There is this pin right here. You just pull it out and this will Lubricate this and this will pull out then you can take this whole thing To your bench and work on it there. If not, it is probably still doable. It's just an awkward position what you do is Without heating it up because obviously you can I've tried heating Just this up. You can see it's Melted a little bit So it would this kind of bolt would heat up the metal in this this inner washer Whatever I keep forgetting with these the metal part. It's like it's goes through the whole Inner control arm here the guy that's stuck Try to heat this bolt up just so It would heat up that part and it would kind of Melt the bushing whatever and that maybe that would Break it loose, but you still got to do it this on both sides at the same time to be able to undo this Both it's just it's not gonna work.  I did on a different the O6 in preza we were working on I did cut it here kind of long ways with a I Think it was a six inch cutting wheel And then I was able to break it free here and here and kind of pull them out But it was it was time-consuming as well It's just yeah, this is just difficult So I think the best way is to dismantle everything take it up on your bench using a Sozo cut it here Right Cut it right here in between you see you have a little bit of room like probably unlike maybe more than eight for sure of an inch Make sure you're cutting straight. You don't want to cut into the knuckle. See I did a tiny bit here and a little bit On the control itself, but you know just little surface scratch is nothing major So you I mean that's the part of the bushing there still so you got rubber metal rubber and then that Fat thing and then the bolt Yeah So cut it then I once I got Big enough cut I actually started using a Grinder because it was faster and easier on the bench. Okay, so I was actually like this cutting it no heat Once this was out.  I Mean, this was a long struggle guys so now I Can actually put this whole piece in the press press it out with the bolt, you know same thing on this and Pressing the new ones clean all this up obviously Clean the rust inside there Lubricated probably use some anti-seize or something And the whole bolt so this doesn't happen again. Hopefully so either way So this is the the less damaging way, right?  Give it to somebody that has tools. That's it. I don't know take it as a tip. I Guess it's just what I went through You know you could maybe just Get away, you know, if you don't have one of these I realize these are expensive I got this one this guy used a while back stuff like the solzo or the grinder. They're not really expensive So you can maybe cut it in several places or maybe just cut it here like I did and then try to with a an air gun try to Turn the nut once you heat this once this is out and you heat this up that bushing will melt and you're gonna be able to Turn this control arm and the bolt will stay in place So this way, you know The bushing is not holding on to the bolt anymore It will kind of spin the bushing will spin with the bolt and then maybe you can with a gun you can try and turn it Heating heat it up and then turn it instead of driving it out with a an air hammer That that will probably work as well. I said to take the subframe Off with the crossmember. There's three different names for that Thing that holds on to the rear diff These are gonna go back on the control arms and I do have aluminum aluminum bushings for the for the subframe Yep four of those All right, so next video See you later


Thank you Greg. What an honor it is to be presenting our project today. It has been quite a journey. My name is Nancy Turner and I'll be presenting this story of envisioning our future at Temple University Libraries. I served as the project lead for all three project phases. When ARL put out its call for proposals Temple was preparing to move to this very different library building materials and we twisted the RLIF space question around a bit because we wanted to focus on the staff experience of changing spaces and support for those changes and this was important because we were planning a move from a very traditional library space, browsing stacks, hundreds of study carols and hardwired computers for students, private offices for many of the staff, to a very different library space with open offices, the bulk of the collections in an automated storage retrieval system, and a scholar's studio with high-end computers for specialized work, a maker space, a virtual reality lab, and plenty of collaboration spaces for innovation. These were our initial research questions. How is the space making an impact on how staff work? What do they see as opportunities in the new spaces and what do they imagine might be challenges? And what are the ways in which staff are challenged in making the transition to a new kind of space and how do they perceive the support that they're receiving? We used one-on-one semi-structured interviews prior to the move to the new library, asking staff about the spaces they worked in as individuals with colleagues and with users, and we conducted a second set of interviews six months into the move. Our interest was as much about support for changes in space and changes more generally. The response was pretty solid. We conducted 29 interviews in the first phase and 29 interviews in the second, with about 50% of interviewees who participated in both phases of the first two projects. A primary theme that emerged from those interviews was not unexpectedly the need for continual communication about change. Staff were enduring many new building hiccups in the spaces they were using for their work. Everything from technicians fixing HVAC issues in the city, technology that was not all in place in both the meeting rooms and instruction spaces. And so it was frustrating because they are trying to do their work as normal and there's all this other stuff going on. But things were coming together and we were settling into space. By the summer of 2020, we thought our project was complete and we wrote up our report, presented the research results to staff, to ARL, even presented at the library assessment conference in 2020. So this is a picture of our staff workspace now and it prompts us to rethink what space for library work looks like in this hybrid work environment. This is a picture of one of our library staff areas in departments of IT and research and learning services. It's the workspace for about 50 staff members and I took it just a few months ago. Our space is clearly for working as individuals, working with users, working with colleagues are more likely today to be virtual than physical. And so it seemed a good time to revisit our questions about library workspace for staff. Hence phase three of the project which we conducted in the winter of 2021. And this time we didn't need to focus just on staff working in the Charles library. We opened up participation to other staff in other buildings as well. So that accounts for the increase in the number of departments. So when I talk about a hybrid work environment, this gives you an indication of for any one time, any one day of the week, how many staff might be working remotely. This is the fall 2021 schedule for staff. And you can see that a good number 28 29 staff members are are working from home on those days. And some we have some staff who work from home or remotely 100% of their time. So the experience of onsite physical workspace has changed a lot. Whereas earlier on staff would say it was noisy and distracting to be among so many other people while doing individual work specifically. Now our space is very quiet. And in fact, some describe the workspace as a ghost town. According to our interviews, many staff do feel more productive when working from home. They save time not having to commute. They see cost savings in terms of commuting, lunch preparation, even clothing for for work, they save on. They're using from home a variety of different types of spaces from the kitchen table to the couch to a home office or a closet that's making a big difference in terms of their satisfaction. Some did report having to upgrade their internet connections, their bandwidth. They reorganized space, move a desk, clear off a dining room table. Some bought additional equipment or furniture, particularly chairs. What they valued most is not something so tangible. And it's that feeling of being respected and trusted enough to do their work remotely. That was important. These two quotes relate to the idea of control that someone working remotely feels they have over their day. So that could mean having the the freedom to walk the dog, do a load of laundry, the dining room to the kitchen, to the bedroom with a laptop. And people really spoke to that freedom and control quite a bit. But this was interesting also that on the flip times feeling isolated, they spoke to this less organizational cohesion. They describe having less of those serendipitous connections with colleagues outside of their immediate work groups and their department. So this is interesting to me of the organizational dynamics that may be changing because of this new work environment organization. If there's less spontaneous interaction between staff who are in different departments and we need to be more intentional in connecting with colleagues, how do we do that? And is that going to be harder to do with people who are not working without a regular basis, particularly as we mentor and into the organization? How will that happen in this environment? Syos have always existed in the organization based on departments, staff level or functional area. And now there's an additional potential divide and that is not only between staff who are on site and staff who are not, but staff who have more opportunities to work remotely and staff who do not for various reasons, of course. Now students have returned to campus and are in the physical library in full force. And of course we do have for services like circulation, we have staff who are there to help them. But most of our consultations and reference interactions and instruction are done virtually now. And between staff we are learning to use new tools like Slack and that has been, has worked very effectively in connecting us together in informal ways, particularly when are helping patrons and helping patrons to navigate from one service to another, from the circulation desk, say, to a reference consultation. So some things that we are recommending, one is to invest, to make sure that our technology in the meeting rooms supports, fully supports, hybrid meetings. So that means excellent audio and visual and technology that is easy to get set up. We're continuing to look at new workflows to provide more flexible opportunities for remote work if that is desired. And then in addition to the technology that supports hybrid meetings, let's share best practices with one another to make sure we're facilitating a successful and inclusive hybrid meeting. So that whether her is on site or working remotely, they have an equal voice. And that's what many of us are finding is that if it's all, all Zoom and everyone is on Zoom, that works pretty well. But when some group is on in person and another group is remote, that can be more challenging in terms of meeting dynamics. Ideally, a good research project will generate through its findings additional research questions. And this one has done that. What types of work, services and resources are best provided in person? And what can be done as well or better outside the confines of the physical building space? That's important to understand. And how does this hybrid work environment impact our organization? What are some ways in which we can continue to share that common vision and particularly in service to the university? Are there ways in which we might build community and connect informally, socially? We need to consider when it was more perhaps more natural when we were all in the physical space together. And finally, it's really important for us to understand and explore how our user communities are impacted by these changes. This research project that I'm describing focused really on staff and or staff experience with users. But how are students and other user communities experiencing the library spaces and the resources and their interaction with staff differently? And will their expectations change over time as well? I wanted to quickly provide a shout out to the staff participating as team members over the three phases of this project. As everyone knows, this research is a lot of work. It pays off in terms of building skills, of course, in conducting qualitative research, but as well, learning about our colleagues and what they do and what they experience. Of course, I want to thank ARL who posed these questions to begin with. And that was the impetus for all of this. Thank you.


Good evening. I am Maureen Minnongwe-Zigran. This is the news update. The federal government is set to break the ranks of the academic staff union of universities ASU when it registered two unions in the university system. The unions are the National Association of Medical and Dental Academics, NAMDA, and the Congress of Nigerian University Academics, Conwa. The Minister of Labor and Productivity, Chris Ngige, explained that the two bodies will exist alongside ASU. ASU has been on strike since February 14, 2022, as lecturers of public universities protest on paid allowances and demand a better welfare package from the federal government. Conwa had in 2018 applied for registration as a trade union of the Ministry of Labor and Employment, while the Minister, Dr. Chris Ngige, in 2020, set up a ministerial committee to look into the application. The new Congress already has branches in Michael Okbara University of Agriculture, Umudike Abea State, University of Benin, Federal University Lokuja, Federal University Oye Ekiti, or Bahfemiah Waluwe University Leife, and the University of Jas, among others. At press time, a Conwa delegation was being expected at the headquarters of the Ministry of Labor and Employment in Abuja for a courtesy call where the group's certificate of registration will be presented. Hello, hope you enjoyed the news. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.


From San Francisco, it's theCUBE, covering OSISoft, PyWorld 2018. Brought to you by OSISoft. Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're at OSISoft in downtown San Francisco for PyWorld 2018, about 3,000 people talking about really OT operations as it slowly marries with IT, and industrial Internet of Things. They've been doing it here for a long time. We're excited to have our next guest and practitioners out in the fields who've got solutions, and they're actually doing good work. So, Sankeet Ampakar, he's the SVP of Falconry. Sorry about that. No problem. Welcome, and Michael Ricci, the VP at Seek, welcome. Thank you very much. So, before we get started, just a quick summary of what your companies do. Sure, so in the case of Falconry, we do what's called operation machine learning, and what it means is really applying machine learning to business operations and data analytics to really drive improvement and efficiencies in their operations. And what's unique about that is it's kind of like a data scientist in a box. So you don't require data scientists on your side, you can actually have your own practitioners and operations people use it. And just plug into your algorithm. And just plug it into what existing their infrastructure is. Okay, and what about Seek? So Seek is an analytics application for process manufacturing data, for example, OSISoft Py. And really, what our focus is, there's incredible innovation out there. The open source and the machine learning and the big data and so forth. And we're about closing the gap between what's possible and what's practical in terms of the applications that people use every day in process manufacturing. So it's just funny, because big data's all the rage and machine learning's all the rage and AI and industrial internet of things and IOT. And yet these guys have been doing it for like 40 years. Without IP based sensors. Without 5G, without Hadoop 40 years ago. So why have we not heard about this and what kind of opportunities now open up when the rest of the IT infrastructure space and we do get 5G and we do have IP connected devices and everybody's ready to get the sensor data. It's a whole new revolution. Exactly, because what we're seeing right now is people have data in their systems. They just haven't leveraged it to the full capability. So as you start getting more and more data and especially if you have a Pi system, you have access to all that data now. How can you fully leverage what you have and really drive new insights from that? And that's really what's driving all this stuff. And you brought up some good points like with Wi-Fi and 5G and other sources where information which initially was not connected can now be connected.  So it's really changing how you digitize your infrastructure. I think that's, it's become a bit of a buzzword unfortunately, but the digitization of your industrial operations is actually real and it's happening right now, right? It's funny you bring that up because you could argue the original big data was manufacturing data and they were just missing a branding team to call it something cool, right? So the original big data was manufacturing data, there's a lot of it, there's been a lot for a long time. Now they are ahead in the sense that they know how to store it and do a great job with the Pi infrastructure for example. And now, as you said, it's about that next step not only for the manufacturing environment but for those IOT environments that are just starting to collect and process data. So now if we can close the gap on modern analytics, right? And modern analytics capabilities with the data they've collected, what that means is businesses are going to get more benefits. It's not about sensors, it's not about data collection. It's about business benefits to the bottom line, the ability to see it and get insights from data. So it's really interesting because so many startups get started because they see some inefficiency, whether it's empty rooms that can be Airbnb or it's cars that sit 90% of the time that can turn into an Uber or a Lyft, you would think that in some of these old line manufacturing that a lot of that inefficiency would have already been rung out but as we keep hearing from stories here time and time again, whether it's getting better yield out of your gold ore or getting better yield out of your water system, there's still a ton of inefficiency and opportunity yet to be extracted and that's before we add machine learning. Well, that's the difference between I've got the data and I've got the science or I've got the calculations. It's too hard and takes too long to get the insight to impact the outcome, if that makes sense. If it takes me more time to do the analysis in the spreadsheet or pen and paper to impact the outcome of the batch, I'm not going to do it. But with these modern analytics, hey, I can get the insight quickly and I can make a change to what I'm doing or prevent something from happening and now it's worth doing. So I've got the data, got the insights. And if you think about it like today, for example, you have control systems in place that have been there for 20 years that basically can do what we call real-time control. So you're doing a batch process and you're monitoring that stuff, it can do that stuff perfectly well. Does it make sense to put something new just to get another 2%? Maybe not. But what about if you can now predict, not just real-time, but predict what's going to happen six hours, 12 hours, two days, a week ahead of time? That's entirely brand new. And the problem is looking at your data you have today there's just way too much data for you to humanly possibly do that. So therefore it never really got touched as much. Now as you have the tool sets that have come from the IT side have come from the big data analytics, now you apply them over here, suddenly you're uncovering basically net new benefits that you can get that just before were not easily accessible. Right, right. Yes, go ahead. I was going to say 30 years after all the data was created and collected, unplanned downtime, right? Is still a bugaboo of so many of these industries. Unplanned downtime means whoops, we didn't expect that to happen. Machine failure, something going down. Another set of analytics is going to be required to really stamp that out and no things in advance as you just pointed out. So what are the notions that gets kicked around a lot, right, is data's a new oil, right? And, you know, I'm not going to go there. But one thing that is clear is that data used to be a liability, used to be expensive to store, right, expensive to keep. And you hear time, I mean there's a really great movie sponsored by EMC, this big data movie that they did. And they talked to horrible story about, you know, these EKG machines that would be kicking out data all the time on a tape that would go to the floor with predictive data that could tell you when someone was going to have an issue, but the nurses only came in and checked it once an hour for whatever the protocol was. It's just horrible. So, you know, have the industrial companies now realized that beyond what's on their balance sheet and their capital expense and these huge infrastructure projects, they actually have a lot of value in their data. We see it in tech companies all the time. Why do these companies have this valuation? It's not a multiple of revenue, it's because they got the data. But we haven't really seen it morph into kind of modern, not modern, more old line asset based companies where there isn't a line item yet. Soon there's going to be interesting to see how the accounting principles change, where you get credit for this data. People getting it now, are they seeing the value? Absolutely, they're getting at the pressure that they have to now realize the benefits of the data possibility, right? Mean that they recognize, look, my next benefit out of my balance statement comes from my, McKinsey calls it competing on analytics, right? My ability to do analytics drives that balance sheet results, okay now, what are the right analytics and what am I looking for in terms of outcomes? So they absolutely get it, it's just been too hard. The gap between the innovation in our consumer and IT lives and what's been generally available in the OT space has been too high for too long. That's what we're working on closing. And there's two things, actually bring up a good point with the McKinsey article because McKinsey's predicting that 20% of the next, actually the next 20% increase in productivity rise has actually come from data analytics being applied to manufacturing and being applied to process operations, right? And it's interesting because it's not like this stuff did not exist before. If you look at it right now, there's about 15% adoption rate of advanced analytics in manufacturing. I'm not talking about your standard real-time stuff, I'm talking more of the advanced stuff. But if you look at the adoption and what's expected, by 2020 they're saying that's gonna go up to 53% of all manufacturing out there, all process automation out there. So what it means is right now, this year, 2018 and 2019 is we're gonna see a huge amount of adoption where people have been doing pilots until now maybe or doing a little bit of trials up to now are actually, they've actually stepped in and we're seeing real purchase orders for real production applications and it's happening in every industry. That's the interesting thing too, it's not just okay. Before it used to be semiconductors are leading or automotive is leading or maybe oil and gas. We're seeing it pretty much in every single one right now because everyone has the data, everyone knows it's not being utilized and they're saying where can I get my next advantage from because it is a competitive advantage now.  Goldman Sachs actually built on that, wrote an article on productivity in oil and gas and chill from brawn to bite to brains. And the whole point was the next chunk of innovation is going to come from the brains and the analytics that are possible and how to optimize those outcomes. So it's very clearly seen. So the other buzz that's happening right now is that all the machines are going to take our jobs and we're going to have universal basic income, lay on the beach or be laying out here on Market Street one or the three, I'm not sure which, but clearly the evidence is contrary and really we're seeing that here, especially with some of the stuff even without the analytics. It's the combination of the machine with the data and a little bit of an application on top of that to enable people to make their decisions. And some of the use cases that have been coming out of the show are fascinating to me, the scale of the impact. One of the water companies, it was like 50% of the water between the time it goes out of the processing plant to the spigot at the house, 50%. These are huge inefficiencies. So the opportunity just seems endless. I was just going to say, so do you have any of your kind of favorite stories where it's just like mind-blowingly, in hindsight maybe obvious, but it wasn't at the time until they actually dug into this data? Sure, so you bring up a really good point because it's not really about replacing any work or it's actually augmenting what the work can do. You're making them much more efficient with what they're able to do because they're the ones making the decisions at the end of the day. So there's a couple of interesting use cases that we've been seeing. And I'll give you one coming from the mining side where, for example, they've been having an issue where on the conveyor belt, depending on the quality of the ore, that ore was starting to get blocking into the part of the machine that does the crushing and does the grinding. And that when it goes down is about $30,000 per hour. Takes them somewhere between five hours to a full day. So that can be like $720,000 per day. And it happens twice a week. So you do the math. That's lost productivity. That's lost productivity right off the bat, right? That happens twice a week. And this is not, this is not like a massively large company. This is like a mining company out in Wyoming having an issue like this. So obviously there's a big problem over there to solve. And the beauty of it is you can take the data. The data can actually anticipate and say three steps before it reaches that grinding part of the cycle that this batch of ore, which is moving through right now has a problem. And therefore what they were able to do was they were able to go and slow the process down. So you're still having output and productivity. Have the ore removed and then basically continue the process on. They've got to the point where they're so confident now that the actual operator now is able to close that loop remotely and basically whenever that warning happens they can say yes, here's a bad batch, automatically get it taken off and keeps going on. So, but you have the operator in the loop. The operator is the one making the decision what to do about this. This is not being done for them. So it's not, while it helps in automating, it's not an automation. It's still a person in the loop. And that's always going to be the case. I just think one of the things that Falconry and C-CAP in common is that focus on the engineer or on the operator, the person, and then taking advantage of their expertise, their experience, their education, they know a lot about those plants and assets. It's just too hard to do the analytics by hand. So if they can use the Falconry or CEC to get the insight more quickly then they get the better production result. But tapping rather than replacing that expertise in that engineer, that front-line worker, absolutely critical. Because there's 20, 30 years of experience in some of these plants and some of these assets. You want to tap what they know. Because they've seen it, just help them do something more quickly. Soft institutional knowledge is really hard to replicate. Absolutely. And I still keep hearing about everything on Excel too. It's just a fascinating market penetration of Microsoft in Excel. 30 years later. I have my data on a CSV file. Can you do something with it? Yes, can you do something with it? And it's from three weeks ago and I finally figured out the export. So before I let you guys go, kind of the thoughts on the show, we're here at OSI Soft. Have you been here before? It's our first time. I see people walking around on the 15-year badge. This is just amazing. It's like the most successful company you've ever heard about that's right across the bay and been operating for 40 years. So kind of general impressions, some takeaways from some of the sessions. What are you guys here for? So OSI Soft does a really great value for essentially the industrial operations team. Because basically they're bringing them data that actually can really change what they do in their operations, can really make a big difference. And in terms of the users, they're very sophisticated. They actually, you don't have to convince them and say, hey, data's important. They know the data's important. They have been doing stuff with their data and they're able to actually show really good use cases. If you go into any one of these, I was sitting in the transmission distribution one and it's amazing, even in industry like transmission distribution, which you think is a regulated industry, have been doing tremendous amounts of stuff in terms of how they've been using the data of their pie system and improving operations and actually making things much more efficient for you and I to your point, that there's so much of loss between the energy generated to a finite reaching your light bulb at home and imagine that they're making significant improvements in that so that there's less loss of power when it comes to you. I mean, it's more benefits for all of us basically. Oh, for sure. I just think, it's funny you mentioned the OSI Soft. Is it known and I can see and understand that but this is the largest user conference they've had. They've doubled the partner space that they've got. 3,000 people here. So I think the recognition of, okay, before I can get the insights from the data, I've got to have it sort of well stored in the high infrastructure, is growing among organizations. So that's why you see the growth in the user conference. And once it's there, then we can kick in. Advanced analytics on top to go from the data collection stored and managed to the insights that drive better business outcomes. Yeah, it's in so much easier, right? To get those efficiencies versus rip and replays. Leave the data where it is, get your engineers involved. Just fix the leak. 50% of my water's coming out of the leak, it's crazy. All right, second Michael, we got to leave it there. Thanks for sharing a few minutes with us. Sure, thanks for having us. Very much appreciated. All right, I'm Jeff Frick, you're watching The Cube from OSI Soft 2018. Thanks for watching.