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Announcing .NET Core 3 Preview 1 and Open Sourcing Windows Desktop Frameworks | .NET Blog

Announcing .NET Core 3 Preview 1 and Open Sourcing Windows Desktop Frameworks | .NET Blog

Today, we are announcing .NET Core 3 Preview 1. It is the first public release of .NET Core 3. We have some exciting new features to share and would love your feedback. You can develop .NET Core 3 applications with Visual Studio 2019 Preview 1, Visual Studio for Mac and Visual Studio Code. Download and get started with .NET Core 3 Preview 1 right now on Windows, Mac and Linux. You can see complete details of the release in the .NET Core 3 Preview 1 release notes. Please report any issues you find in the comments or at dotnet/core #2099. Visual Studio 2019 will be the release to support building .NET Core 3 applications and the preview was also released today so we also encourage you to check that out. .NET Core 3 is a major update which adds support for building Windows desktop applications using Windows Presentation Foundation (WPF), Windows Forms, and Entity Framework 6 (EF6). ASP.NET Core 3 enables client-side development with Razor Components. EF Core 3 will have support for Azure Cosmos DB. It will also include support for C# 8 and .NET Standard 2.1 and much more! .NET Framework 4.8 Before diving into .NET Core 3 let’s take a quick look at .NET Framework. Next year we will ship .NET Framework 4.8. With monitors supporting 4K and 8K resolutions we are adding better support for high DPI to WPF and Windows Forms. Many .NET applications use browser and media controls, which are based on older versions of Internet Explorer and Windows Media player. We are adding new controls that use the latest browser and media players in...
Nextcloud 16 becomes smarter with Machine Learning for security and productivity – Nextcloud

Nextcloud 16 becomes smarter with Machine Learning for security and productivity – Nextcloud

Nextcloud 16 introduces a number of intelligent features designed to make the users’ lives easier and keep data safe. Suspicious Login Detection uses a locally trained neural network to detect attempts to login by malicious actors. Share recommendations suggests people and groups the user frequently shares with and our new Recommendations app adds a list of files and folders the user might be interested in, based on recent activity on these files and other factors. As this release brings so many improvements, we’ve written 4 other blogs with more details about the main features: Suspicious Login Detection From cutting-edge browser protections like CSP and SSC to password-checks using the online breached-password database by Troy Hunt and unique malware recovery technologies, Nextcloud has been at the forefront of developing solutions to constantly changing security threats. Protecting logins with brute-force protection and 2-factor authentication makes it harder to hack user accounts, but the growing sophistication of attacks makes new, more intelligent protections essential. Nextcloud 16 introduces a brand new solution protecting Nextcloud systems using machine learning to detect suspicious login behavior and warn the user. The Suspicious Login Detection app tracks successful logins on the instance for a set period of time (default is 60 days) and then uses the generated data to train a neural network. As soon as the first model is trained, the app starts classifying logins. Should it detect a password login classified as suspicious by the trained model, it will add an entry to the suspicious_login table, including the timestamp, request id and URL. The user will get a notification and the system administrator will be...

Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development

Background: There are numerous mobile apps for tracking work hours, but only a few of them record work hours automatically instead of relying on manual logging. No apps have been customized for medical staff, whose work schedules are highly complicated as they have both regular hours and on-call duties. Objective: The specific aims of this study were to (1) identify the Staff Hours app users’ GPS-defined work hours, (2) examine the overtime work hours from the app-recorded total work hours and the participants’ self-reported scheduled work hours, and (3) compare these app-recorded total work hours among different occupations. Methods: We developed an app, Staff Hours, to automatically calculate a user’s work hours via GPS background data. Users can enter their scheduled hours, including regular hours and on-call duties. The app automatically generates overtime reports by comparing the app-recorded total work hours with the user-defined scheduled hours. A total of 183 volunteers (60 females and 123 males; mean age 32.98 years, SD 6.74) were included in this study. Most of the participants (162/183, 88.5%) were medical staff, and their positions were resident physicians (n=89), visiting staff (n=38), medical students (n=10), registered nurses (n=25), and non–health care professionals (non-HCPs; n=21). Results: The total work hours (mean 55.69 hours, SD 21.34) of the 183 participants were significantly higher than their scheduled work hours (mean 50.67 hours, SD 21.44; P=.01). Medical staff had significantly longer total work hours (mean 57.01 hours, SD 21.20) than non-HCPs (mean 45.48 hours, SD 20.08; P=.02). Residents (mean 60.38 hours, SD 18.67) had significantly longer work hours than visiting staff (mean 51.42 hours, SD 20.33; P=.03) and non-HCPs...
Not That Invincible: Apple and the Latest Cyber Security Threats

Not That Invincible: Apple and the Latest Cyber Security Threats

How do deal with cyber security threats? All of us faced some flaws in the operation of our devices: high CPU consumption, lower performance, privacy issues, malware, etc. Some of us even or utilize some identity theft protection services to guarantee one’s online security. Still, there are the things we can’t influence, and everything we can do is to look at the tech giants and cyber security experts who try to eliminate considerable privacy problems. So, let’s dive into the latest Apple cyber security threats. Experts reported the iPhone and iPad vulnerability due to a problem in the mail app Cybersecurity experts have discovered vulnerabilities in Apple’s email app. According to them, these flaws have been present in the app since 2012 and allow hackers to steal data of iPhone and iPad users. Apple’s email app has vulnerabilities that allowed hackers to steal information from different company devices. This conclusion was reached by , who warned the manufacturer about the detected bug. According to experts, this flaw existed since September 2012. Experts have identified several cyber attacks that have been carried out using these vulnerabilities. The first of them took place in January 2018, but the ZecOps assumes that similar attacks could have occurred before. Due to the shortcomings, hackers could send letters with a special attachment, which caused a short failure in the operating system of smartphones or tablets. It allowed hackers to steal user data, including photos and contact details. The ZecOps also claims that the mail app hacking technique was used against users from North America, Japan, Germany, Saudi Arabia, and Israel. The representative of Apple...
Comparing the Performance between Native iOS (Swift) and React-Native

Comparing the Performance between Native iOS (Swift) and React-Native

React-Native is a cross-platform mobile framework that lets you build apps using only JavaScript. However, unlike other hybrid mobile technologies you are not building a “mobile Web App” (Web App wrapped in a native container). In the end, you get the real thing. Your JavaScript codebase is compiled to a mobile app indistinguishable from an iOS app built using Objective-C or an Android app using Java. This means that React-Native provides the benefits from both Native and Hybrid Mobile Apps.My goal is to find out if they can deliver on exactly what they promise. To achieve this, I will need to build the same app in both Swift and React-Native; it needs to be simple enough so that I can learn both languages and complete the apps in time, but complex enough so that it allows me to compare the CPU, GPU, Memory Usage, and Power Usage of each app. The app will have four tabs. The first one will be named “Profile” and will prompt the user to login to Facebook in order to retrieve the user’s profile photo, name, and email and display them on the page. The second tab will be called “To Do List” and will be a simple to do list using NSUserDefaults (iPhone internal memory). It will have “add item and “delete item” functions. The third tab will be named “Page Viewer” and will consist of a Page View Controller. The Page View Controller will have three screens that the user can swipe through (“Green”, “Red”, and “Blue” screens). The final tab will be named “Maps” and will consist of a Map View...
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