This Laravel tutorial will take you from the very beginning of an app idea into a real deployable Laravel application. This content was originally published...
If you’re a small business owner, starting a website project or updating your current site can be a daunting task. Finding a new web developer or development company can be as stressful as a first date, with a proposal soon to follow. Thankfully this isn’t ’til death do us part,’ but a healthy business relationship is key to the success of both parties involved. To ensure the start of a great experience, we’ve outlined a research process to find the perfect web developer or digital marketing agency for your business. Research Web Developers & Agencies Finding a web developer often begins on the web. To find a local business we recommend using the following databases: View their Portfolio Once you’ve found a few potentials, you’ll want to view their online portfolio. This will give you an idea as to what level of quality you can expect, as well as their design aesthetic. First and foremost, look at their portfolio from a subjective point of view. If you like their design work and feel that their aesthetic matches the vision you have for your business, then check the credits of each project. Did they design and develop the project? In some cases, developers and agencies may work with a separate designer or hire and work with other freelancers. It’s important to find out exactly what was done on each project so you can gauge their experience and capabilities. If everything checks out, now it’s time to be objective and make sure their work is up to modern standards. There are a few quick tests that can easily be done. Test...
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 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...
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...
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