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Fiddling with the nVidia control panel aspect ratio/scaling settings also hasn't done it. Having DX12 enabled/disabled doesn't affect it. The problem occurs whatever resolution I try to run the game in though. I'm trying to play on 2560x1440 which is the highest native resolution the monitor can do. However, putting it into exclusive fullscreen causes massive 'squashing', where 2/3 of the screen (top and bottom) become black bars and the image is squashed beyond use. Look out for our full review sometime next week.Wondering if anyone on here has had resolutions problems with the exclusive fullscreen setting in MD?įirstly the game works in windowed fullscreen, but it seems to cap the FPS at 60hz and it doesn't perform all that well. Our time with Deus Ex: Mankind Divided was more good than bad, and it will be interesting to see how the full game shapes up. Perhaps this changes as the game opens up, as does the story, which at this point in time, seems to be a bit of a slow burn. Also, the sparse number of non-playable characters and somewhat smaller environments don't make feel like this is a game from the current generation. The loading times are surprisingly long and there are some graphical inconsistencies with menu elements popping up long after they should. (Also see: Deus Ex: Mankind Divided Director On Reinventing the Series and a New Gameplay Mode )įor all the positives of our initial impressions, there are some niggles with Deus Ex: Mankind Divided. Be it the scale and size of your health bars to a range of control options ranging from traditional FPS button mapping to the game's own bespoke control scheme, there's enough ways to play it how you'd want to, even on consoles. Mankind Divided can be moulded into an experience of your choosing. Even the gunplay has been improved, making running and gunning a feasible option from the start. What this means is, you can switch out one for another, adding a welcome level of complexity that the prior games lacked. One interesting feature is that the game's power-ups, or augs as they're called, can be balanced. From pure stealth to dialogue or simply brute force, all of these are present in Deus Ex: Mankind Divided, with some interesting additions. There are several ways to finish an objective. The strongest point of the franchise has been its open-ended nature of gameplay. (Also see: Deus Ex: Mankind Divided - All We Know ) Suffice to say, we can't wait to see how it looks on a powerful PC. ![]() While games in the series haven't traditionally been known for their visuals, Mankind Divided seems to change that. Being the first game in the series running on Square Enix's Dawn Engine, it's quite the looker, even on the Xbox One. ![]() From the gritty streets of Prague to dilapidated hotels in Dubai, the strong, well-defined art direction stands out. With Mankind Divided, the series has opted for a white and grey colour palette, and it looks refreshingly different. Though if you do have the time, you'd do well to play Deus Ex: Human Revolution Director's Cut to soak up all the lore and detail to get a better idea about the series. There's a 12 minute video in the game's Extras that recap events prior, which is a convenient way to get up to speed with what happened in the earlier game. (Also see: Deus Ex's Gameplay Director on Managing Complexity and Player Choice )Įven if you haven't played the original Deus Ex or Human Revolution you'll be fine tackling Mankind Divided. We've played the first few hours of Deus Ex: Mankind Divided on the Xbox One and this what you need to know before parting with your money. Unlike the likes of Assassin's Creed or Call of Duty, it's managed to stay away from regular, yearly iterations.Īlthough it's releasing five years later, the new game picks up right where Human Revolution left off. The franchise has been around since 2000, but Deus Ex: Mankind Divided is only the fifth game in the series, with the last game being 2011's fantastic Deus Ex: Human Revolution. ![]() ![]() You have to change SAB by running that last section of code but replacing 816 with the number of the group that owns theshares. Post processing doesnt work because the default owner of SAB is not the same as who owns the share. Username: Your username received in the confirmation email Password: Your username received in the confirmation email SSL: This can be toggled on and off depending on your preferences. This is my docker run docker run -d -name=sabnzbd -e PUID=1000 -e PGID=1000 -e TZ=Australia/Sydney -p 8081:8080 -v sabnzbd_data:/config -v /mnt/WRZ/Complete:/WRZ/Complete -v /mnt/WRZ/Incomplete:/WRZ/Incomplete -restart unless-stopped lscr. Mine is user and group 'media' that is 816 in the user and group section. .X/WRZ /mnt/WRZ cifs credentials=/home/.smbcredentialXXXXHost,iocharset=utf8, 0 0 The target store of the data is a windows file share the drive format is NTFS which I'm mounting via CIFS Simply fill out the usenet server host address, server host port, your username, your password, and the number of connections your service plan allows. WRZ/Incomplete is not writable with special character filenames. This can cause problems. Setting up SABnzbd is really simple once you have Docker installed. This program can be used in conjunction with Sonarr and Radarr to automate your bus entertainment system. Newsbins are similar to torrents but are far superior. WRZ/Complete is not writable with special character filenames. This can cause problems. SABnzbd is a program available for Windows, OSX, and Linux that is used for downloading newsbins. I am getting this warning when SABnzbd starts, I've looked around and can't find much useful info on it ![]() Hi all, thought id move my SABnzbd over to docker, which is running on Ubuntu 20.04.4 Hard Disk Space: 2 GB of free space required.System Requirements For Adobe Bridge CC 2017 DMG For MacOSīefore you start Adobe Bridge CC 2017 DMG For MacOS free download, make sure your PC meets minimum system requirements. 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You can also rename different files easily as it supports batch renaming option which will let you save much of your precious time. It has got a multiple viewing mode which will allow you to explore hidden files. Adobe Bridge CC 2017 DMG For MacOS is a very easy to use application which means you can manage your media files efficiently even if you are not an experienced user. You can also add specified directories into your favorite list. Adobe Bridge CC 2017 DMG For MacOS has got a straightforward browsing where you can opt for standard file explorer for navigation through the folder structure. ![]() If you're not seeing your media drive in tinyMediaManager, make sure you see it on your client machine first! You can't just export the volume as NFS, or share it via Samba, and have it pop up in tinyMediaManager on another machine the computer running tinyMediaManager must "see" the drive as a usable location. It may seem obvious, but in order for a network drive to be added as a source, that network drive must be mounted on your current machine. Add your media location and then wait as tinyMediaManager scans the location. When you first start tinyMediaManager, a setup wizard prompts you to provide it with a source that contains your video files, such as a local or network drive. You may also launch it directly from a terminal with the included tinyMediaManager.sh script (which is what I do, since I only use it occasionally): $ ~/bin/tmm/tinyMediaManager.sh & Getting started Once Java has been installed, you can optionally add sktop to /usr/share/applications so that it shows up in your applications menu. I place my non-packaged applications in ~/bin, but it works just as well from /opt or /usr/local/bin it's up to your own management style.Īs with any Java application, a hard requirement of tinyMediaManager is Java, or more specifically OpenJDK. It is written in Java with Swing libraries, so it runs on Linux, BSD, Windows, Mac OS, and anything else that supports Java.Īfter downloading the tinyMediaManager archive (it will be a tar.gz file if you're on Linux or BSD, and a zip file for all other platforms), unpack it to whatever path you prefer. TinyMediaManager is an open source media management tool that generates video file metadata for media players like Kodi (formerly XBMC), and other clients that use the same metadata schema. The media client I've been using lately is tinyMediaManager. In typical open source fashion, there are dozens of applications available to scan a media library and generate external metadata files and assets, so that the media clients could better parse all the crazy things you throw at it. I did a little bit of research, and discovered that for well over a decade, a sort of unofficial standard had emerged for exactly this problem. I tried devising my own naming scheme for my files, but not all media clients handled that very gracefully they attempted to parse the names and determine the content type based on file names, or they ignored the names entirely, or even ignored the files. I keep these on an NFS shared drive, and stream to Kodi or ncmpcpp, or whatever media client I happen to be using on any given Linux or Android device. I prefer a digital format, and since I consume a lot of independent content that doesn't have the budget for physical releases anyway, most of my purchases are digital files. I consider myself an early adopter of digital content. How can your computer tell whether that 8 GB file in your ~/Movies folder is the latest superhero movie, or your daughter's soccer game? The trouble with video files is that they are not easily parseable. Ambiera WebsitePainter 3.5 Multilingual 7.76 Mb WebsitePainter is a Web Editor for creating professional looking Websites, without HTML knowledge and programming. ![]() With a few clicks it is possible to create web pages with elements like Web2.0 buttons, gradients, round borders, hover effects, transparencies, continuous text and more. Ambiera WebsitePainter 3.5 Multilingual File size: 7.68 MB WebsitePainter is a web editor for creating professional looking Websites, without HTML knowledge and programming. ![]() ![]() Besides, it supports important Web standards such as HTML, CSS, PHP. WebsitePainter is can produce webpages with elements like Web2.0 buttons, gradients, round borders, hover effects, transparencies, continuous text and more with a few clicks. 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Imuscle 2 is a highly visual, 3d-based, award winning health and fitness app that has everything you need to plan and track your fitness program. ![]() This is what I ended up with: tspan11 = (0.0,81.0) The fit to the data is not great, but I still need to figure out my priors better and try a few of the different samplers. I also changed pred_sum as you suggested, which makes more sense, and now it works! I was getting a lot of numerical issue warnings but these were resolved by using BinomialLogit instead of Binomial. So I just assumed there needed to be some variance parameter in the likelihood without really thinking about it. I think I was confused by the Lotka-Volterra example above where there were priors for the ode model parameters, but then also one for the variance of the normal distribution in the likelihood. ![]() I think you may be right about not needing sigma. I’m still confused about how the prior σ enters into it (what I confusingly meant by prior variance of the binomial). So what I"ve done in the for loop is calculated the total number of larvae counted on a given day pred_sum (used as the number of trials), and the proportion of total larvae that are preinfective (U), pred_prob (used as the predicted success rate). My understanding is that the probability of counting a preinfective larva (U) in one trial is initially distributed as Beta(1,1), and then this distribution is updated by calculating the likelihood for each observation (?) Pred_prob = predicted / sum(predicted) #Proportion of larvae that are Uĭata ~ Binomial(pred_sum,pred_prob) #likelihood of observing data assuming it was drawn from a binomial with # of trials (n) = pred_sum and success rate (p) = pred_prob ![]() Pred_sum = Int(round(sum(predicted))) #Total number of larvae predicted by model with given parameters Of course predicted needs to be used, I don’t know what I was thinking! Here is a more thoughtful attempt: function fit11_5(data) This is my first foray into Bayesian statistics, so any help would be greatly appreciated. I thought I might have more luck with Bayes since I have some prior information I could incorporate. I was having some issues with convergence while using MLE, probably because of the small sample sizes. This is a small part of a much more complicated fitting process. # data ~ MvNormal(predicted, σ) #This "works" with InverseGammaĭata ~ Multinomial(2, σ) #How do you incorporate σ into likelihood function? Does it act as the probability vector? ![]() Predicted = solve(prob11,Tsit5(),saveat=datax11) Prob11 = ODEProblem(DevDelay_simpODE,u0,tspan11,p11) Σ ~ Dirichlet(ones(2)/2) #But should be this if likelihood is Multinomial? #Data (number of U and I in a host on a given day post-infection)ĭatax11 =. J = p*γ - p*u*u #inject some larvae at very start of experimentĭu = dU = J - p*u*u - γ*u*S #preinfectiveĭu = dI = γ*u*S - p*u #infectiveĭu = dD = p*u*u + p*u #dead #Model of the experimental infection protocol Using Turing, Distributions, DifferentialEquations I’m working off the Lotka-Volterra example at The data are not great, but I’m hoping to get some information on development rates and mortality rates for the larvae. └ AdvancedHMC C:\Users\alexa\.julia\packages\AdvancedHMC\P9wqk\src\hamiltonian.jl:47 My attempts at using Multinomial or Binomial likelihoods result in endless warnings: ┌ Warning: The current proposal will be rejected due to numerical error(s). I think the likelihood should be multinomial because at any given day there could be preinfective, infective, and/or dead larvae (although I don’t have data for the latter, so maybe Binomial? I get the same warnings in that case). The data are the number of preinfective larvae and infective larvae counted in multiple hosts at different days post-infection. How would one implement this? The answer is definitely “learn more about Bayesian statistics”, but getting this working will go a long way toward helping me understand what’s going on without having to second guess my code. My understanding is that I would then use a Dirichlet prior and a multinomial likelihood (?). It works fine if I use an InverseGamma distribution (i.e., resulting parameters seem reasonable), but since the data were drawn from a multinomial distribution, an InverseGamma prior and a MvNormal likelihood seem inappropriate. I’m trying to fit a parasite dynamic model to some experimental data using Turing.jl, but I’m having some trouble specifying the prior variance, σ. Since both Wi-Fi and PoE security cameras have their pros and cons, it's not simple to make a quick and wise decision. PoE vs Wi-Fi Security Camera, How to Make a Proper Selection? Power Failure: Wireless cameras are prone to losing charge when encountering batteries running out. ![]() Unstable Video Signal: For signals sent over Wi-Fi or other wireless networks, it's more apt to lose connection or suffer interference.Ĭybersecurity: There is always vulnerability to Internet connectivity, so it will be less secure than a wired option. No Wire to Cut: No chance for intruders to cut the wire because there is none. High Flexibility: It's easy for the owners to redeploy those wireless/ Wi-Fi cameras or to scale up. 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