What exactly is a Laboratory Information Management System?

Simply put, a Laboratory Information Management System (LIMS) is software which allows the effective management of test results, samples (and their associated data) to improve lab productivity. By adopting the use of a LIMS, your lab can integrate instruments, automate workflows, and manage samples and associated information. Plus, as well as producing reliable results more quickly, you can also track data from sequencing runs over time (and across experiments) to improve efficiency. This kind of software helps standardize tests, workflows, and procedures. At the same time, it allows the provision of accurate controls (such as test limits) of the process itself. You can also integrate instruments into the LIMS to automate the collection of test data. This eliminates the need to manually transfer results between the instrument and the LIMS, eliminating typographical errors. Entering numbers by hand typically results in a 1-3% error rate, and forces all results to be manually validated and approved, taking additional time and resources. The LIMS can be set up to ensure that only results from calibrated instruments may be recorded in the system and, via unique login, to check that the person, entering the results, is adequately trained in the operating procedures to perform the…

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8 Best Forex Trading Platforms For Beginners (2019)

There are many forex trading platforms in the market. Each platform comes with a unique set of tools that allow the trader to make their trades with ease. While most of the platforms on the market are created for general use, there are some that are better for beginners. Expert traders who have mastered their craft often go for any platform. For beginners though, selecting the right platform is crucial for a fruitful trading experience. Here are the eight best forex trading platforms for beginners.

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Qualities of a Scrum Master

The Scrum Master in a DevOps team is the buffer between Product Owner and team members, between iterations and acceptance, and between goals and achievements. Let us see how the Scrum Master can be his best when he plays the role of a facilitator. An effective facilitator is one who Enables others to achieve common objectives Is always neutral in opinions and does not take sides Is supportive of all in putting forth their best Promotes contribution and collaboration between team members to synchronize the common goals Provides authority stemming from evangelizing of Scrum Values The facilitating Scrum Master enables Collaborative and communicative relationships between team members and their environment Implements the Scrum process with continuous evaluation, testing and process improvement Integration and transition of the Scrum team with the enterprise Effective and productive Scrum meets Achievement of personal and team objectives

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The importance of statistical tests – statistical significance and confidence interval

When you start doing more serious research, you will need to conduct a statistical test. It helps you to determine whether your hypothesis is significant or can be rejected. If you start browsing for statistical analyses online, you will find a large number of possible test that can be chosen depending on your task. In this post, let us focus on a simple example of statistical analysis that would allow us to understand what is statistical significance and what is confidence interval. Building a test scenario To understand the matter lets use some random data which is distributed normally. For this, we can use 100 casual observations of the price tag for the new Nokia 3310 from different sources. The average price is around 50€ with a standard deviation of 10€ Now lets plot how those samples are distributed along with the standard distribution graph:

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eSports Poised to Surpass $1 Billion Revenue Mark as Upward Climb Continues

As a newer form of both professional level entertainment and competition, eSports are often underestimated. Especially the case with those unfamiliar with the gaming industry, those on the outside often display shock at finding the occasional game even been shown on major television channels, and this popularity is only growing. While in some countries, like South Korea, major eSports tournaments have long held national recognition and acclaim, it is only just now that the rest of the world is following suit. So, just how large has this industry become, and how do we know it is more than just a flash in the pan? Breaking billions A recent report from market research firm Newzoo has revealed that current trends predict 2019 eSports revenue streams to reach $1.1 billion. Having already cashed in $865.1 million in 2018, this would mark a 27.1% increase in a single year of growth. Accounting for this rapid growth, in terms of player engagement, is the increasing familiarity with which the younger generations have with digital gaming. Those of us now in our 30s have grown up with gaming as a major part of our entertainment and social lives, driving us to higher levels of engagement…

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Modern betting depends on machine learning tools

Machine learning (ML) algorithms are becoming a standard way of improving decisions, whether this is a finance, health or gaming sector. Sports betting is one of those areas where ML technologies are becoming a standard decision support tools. The betting market is a massive industry, and simple means like statistics do not work anymore. Betting operators are focusing on machine learning-based methods to increase the expected return on investment. It is necessary to make accurate in-house predictions of sports events because all business mode success depends on this. It is essential for a betting operator to increase its accuracy in sports prediction to be an attractive company and be profitable. Professional betters, also are using machine learning algorithms to formulate strategies for accurate prediction. Using an ML is a two-way game, which depends on how well big data processing algorithms work on each side. To make a good prediction, this is necessary to consider all possible data. This include historical data of sports team performance, data of each player and team, geographical, seasonal, and other related data can be relevant in making the final prediction. Machine learning algorithms don’t use simple logic and rules. Instead – they are learning from…

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Do Smart Homes and AI go Together?

Artificial Intelligence (AI) and smart homes are two hot topics in the digital world. Smart homes are causing groundbreaking benefits in home automation. AI is also being used in all kinds of industries to hasten and improve different kinds of processes. These inventions are changing the areas they operate in. But, will they work together? What are Smart Homes? A smart home consists of the many smart devices owned by someone. These devices use the Internet of Things (IoT) to communicate with each other. Because of IoT you can track, monitor, and control a smart home product as long as you have an internet connection. According to a study done by safeatlast.co, currently, 76% of all smart home products in America are controlled remotely through smartphones. What is Artificial Intelligence? AI is the technology that lends human characteristics to computers. It is used to help computers process information, anticipate, and react as humans would. A device with AI will learn through information received. It will also learn through experience. Devices with AI will even show creativity in some cases. Devices equipped with AI has the ability to better themselves without outside interference. This technology helps to speed up the processes…

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