Middlesex District Attorneys Office Receives Grant For Insurance Fraud Investigations

first_imgWOBURN, MA – The Middlesex District Attorney’s Office has been awarded a $50,000 grant from the Insurance Fraud Bureau of Massachusetts, in coordination with the Commissioner of Insurance, to fund investigations and prosecutions of automobile insurance fraud, Middlesex District Attorney Marian Ryan announced today.The grant was presented to District Attorney Ryan by Daniel Johnston, Executive Director of the Insurance Fraud Bureau of Massachusetts. The $50,000 grant is funded by Arbella Mutual Insurance Company, as part of a program in coordination with the Commissioner of Insurance and the Insurance Fraud Bureau which has been used to fund insurance fraud investigations across the state since 2003.The Middlesex District Attorney’s Office Special Investigations Unit investigates cases of fraud, embezzlement, drug trafficking, white collar crimes and related illegal activity. The Unit includes a team of Assistant District Attorneys, Financial Analysts, Forensic Examiners, Paralegals and State Police detectives.The grant money received yesterday will pay for continued investigations by prosecutors in the Special Investigations Unit of the Middlesex District Attorney’s Office.Middlesex District Attorney’s Office(NOTE: The above press release is from the Middlesex District Attorney’s Office.)Like Wilmington Apple on Facebook. Follow Wilmington Apple on Twitter. Follow Wilmington Apple on Instagram. Subscribe to Wilmington Apple’s daily email newsletter HERE. Got a comment, question, photo, press release, or news tip? Email wilmingtonapple@gmail.com.Thank You To Our Sponsor:Share this:TwitterFacebookLike this:Like Loading… RelatedState Police Ask For The Public’s Help Identifying Vehicle In Fatal Motorcycle Crash In WoburnIn “Police Log”Wilmington Man Injured In Fatal Car Crash In WoburnIn “Police Log”Middlesex DA Marian Ryan and State AG Healey Launch Recertification Course For Online Mandated Reporter TrainingIn “Government”last_img read more

High Court stays order on eviction of hawkers in Sector V

first_imgKolkata: The state government on Monday informed the Calcutta High Court that hawkers in Salt Lake Sector V area will be relocated elsewhere only after the state has a hawker policy in place. Soon after hearing the state’s stand, the High Court stayed the process of evicting the hawkers encroaching upon the bus route of Sector V till August 30. The stay of Justice Debangshu Basak came in the wake of the Salt Lake Sector V Hawkers’ Welfare Association, moving the high court against the eviction order. Also Read – Rain batters Kolkata, cripples normal lifeThe next hearing in this regard will be held on August 23. The counsel appearing on behalf of the state claimed that the government is absolutely against forcible eviction and wants proper rehabilitation of the hawkers. Hawkers in Salt Lake Sector V were taken to two plots of land in the area on Saturday where the Nabadiganta Industrial Township Authority plans to relocate them. It may be mentioned that police wants the hawkers on Ring Road, the stretch from the SDF intersection in GN Block to Technopolis building to be vacated for smooth traffic movement. It may be mentioned that hawkers in Sector V had demonstrated by keeping their shops closed on Friday to protest the order asking them to clear three main thoroughfares or face eviction. They also allegedly prevented several delivery persons of app-based food delivery services on their way to offices in Sector V.last_img read more

How to use M functions within Microsoft Power BI for querying data

first_imgMicrosoft Power BI Desktop contains a rich set of data source connectors and transformation capabilities that support the integration and enhancement of source data. These features are all driven by a powerful functional language and query engine, M, which leverages source system resources when possible and can greatly extend the scope and robustness of the data retrieval process beyond the possibilities of the standard query editor interface alone. As with almost all BI projects, the design and development of the data access and retrieval process has great implications for the analytical value, scalability, and sustainability of the overall Power BI solution. Our article is an excerpt from the book Microsoft Power BI Cookbook, written by Brett Powell. This book shows how to leverage  Microsoft Power BI and the development tools to create better data driven analytics and visualizations. In this article, we dive into Power BI Desktop’s Get Data experience and go through the process of establishing and managing data source connections and queries. Examples are provided of using the Query Editor interface and the M language directly to construct and refine queries to meet common data transformation and cleansing needs. In practice and as per the examples, a combination of both tools is recommended to aid the query development process. Viewing and analyzing M functions Every time you click on a button to connect to any of Power BI Desktop’s supported data sources or apply any transformation to a data source object, such as changing a column’s data type, one or multiple M expressions are created reflecting your choices. These M expressions are automatically written to dedicated M documents and, if saved, are stored within the Power BI Desktop file as Queries. M is a functional programming language like F#, and it’s important that Power BI developers become familiar with analyzing and later writing and enhancing the M code that supports their queries. Getting ready Build a query through the user interface that connects to the AdventureWorksDW2016CTP3 SQL Server database on the ATLAS server and retrieves the DimGeography table, filtered by United States for English. Click on Get Data from the Home tab of the ribbon, select SQL Server from the list of database sources, and provide the server and database names. For the Data Connectivity mode, select Import. A navigation window will appear, with the different objects and schemas of the database. Select the DimGeography table from the Navigation window and click on Edit. In the Query Editor window, select the EnglishCountryRegionName column and then filter on United States from its dropdown. Figure 2: Filtering for United States only in the Query Editor At this point, a preview of the filtered table is exposed in the Query Editor and the Query Settings pane displays the previous steps. Figure 3: The Query Settings pane in the Query Editor How to do it Formula Bar With the Formula Bar visible in the Query Editor, click on the Source step under Applied Steps in the Query Settings pane. You should see the following formula expression: Figure 4: The SQL.Database() function created for the Source step Click on the Navigation step to expose the following expression: Figure 5: The metadata record created for the Navigation step The navigation expression (2) references the source expression (1) The Formula Bar in the Query Editor displays individual query steps, which are technically individual M expressions It’s convenient and very often essential to view and edit all the expressions in a centralized window, and for this, there’s the Advanced Editor M is a functional language, and it can be useful to think of query evaluation in M as similar to Excel spreadsheet formulas in which multiple formulas can reference each other. The M engine can determine which expressions are required by the final expression to return and evaluate only those expressions. Configuring Power BI Development Tools, the display setting for both the Query Settings pane and the Formula bar should be enabled as GLOBAL | Query Editor options. Figure 6: Global layout options for the Query Editor Alternatively, on a per file basis, you can control these settings and others from the View tab of the Query Editor toolbar. Figure 7: Property settings of the View tab in the Query Editor Advanced Editor window Given its importance to the query development process, the Advanced Editor dialog is exposed on both the Home and View tabs of the Query Editor. It’s recommended to use the Query Editor when getting started with a new query and when learning the M language. After several steps have been applied, use the Advanced Editor to review and optionally enhance or customize the M query. As a rich, functional programming language, there are many M functions and optional parameters not exposed via the Query Editor; going beyond the limits of the Query Editor enables more robust data retrieval and integration processes. Figure 8: The Home tab of the Query Editor Click on Advanced Editor from either the View or Home tabs (Figure 8 and Figure 9, respectively). All M function expressions and any comments are exposed Figure 9: The Advanced Editor view of the DimGeography query When developing retrieval processes for Power BI models, consider these common ETL questions: How are our queries impacting the source systems? Can we make our retrieval queries more resilient to changes in source data such that they avoid failure? Is our retrieval process efficient and simple to follow and support or are there unnecessary steps and queries? Are our retrieval queries delivering sufficient performance to the BI application? Is our process flexible such that we can quickly apply changes to data sources and logic? M queries are not intended as a substitute for the workloads typically handled by enterprise ETL tools such as SSIS or Informatica. However, just as BI professionals would carefully review the logic and test the performance of SQL stored procedures and ETL packages supporting their various cubes and reports environment, they should also review the M queries created to support Power BI models and reports. How it works Two of the top performance and scalability features of M’s engine are Query Folding and Lazy Evaluation. If possible, the M queries developed in Power BI Desktop are converted (folded) into SQL statements and passed to source systems for processing. M can also reduce the required resources for a given query by ignoring any unnecessary or redundant steps (variables). M is a case-sensitive language. This includes referencing variables in M expressions (RenameColumns versus Renamecolumns) as well as the values in M queries. For example, the values “Apple” and “apple” are considered unique values in an M query; the Table.Distinct() function will not remove rows for one of the values. Variable names in M expressions cannot have spaces without a hash sign and double quotes. Per Figure 10, when the Query Editor graphical interface is used to create M queries this syntax is applied automatically, along with a name describing the M transformation applied. Applying short, descriptive variable names (with no spaces) improves the readability of M queries. Query folding The query from this recipe was “folded” into the following SQL statement and sent to the ATLAS server for processing. Figure 10: The SQL statement generated from the DimGeography M query Right-click on the Filtered Rows step and select View Native Query to access the Native Query window from Figure 11: Figure 11: View Native Query in Query Settings Finding and revising queries that are not being folded to source systems is a top technique for enhancing large Power BI datasets. See the Pushing Query Processing Back to Source Systems recipe of Chapter 11, Enhancing and Optimizing Existing Power BI Solutions for an example of this process. M query structure The great majority of queries created for Power BI will follow the let…in structure as per this recipe, as they contain multiple steps with dependencies among them. Individual expressions are separated by commas. The expression referred to following the in keyword is the expression returned by the query. The individual step expressions are technically “variables”, and if the identifiers for these variables (the names of the query steps) contain spaces then the step is placed in quotes, and prefixed with a # sign as per the Filtered Rows step in Figure 10. Lazy evaluation The M engine also has powerful “lazy evaluation” logic for ignoring any redundant or unnecessary variables, as well as short-circuiting evaluation (computation) once a result is determinate, such as when one side (operand) of an OR logical operator is computed as True. The order of evaluation of the expressions is determined at runtime; it doesn’t have to be sequential from top to bottom. In the following example, a step for retrieving Canada was added and the step for the United States was ignored. Since the CanadaOnly variable satisfies the overall let expression of the query, only the Canada query is issued to the server as if the United States row were commented out or didn’t exist. Figure 12: Revised query that ignores Filtered Rows step to evaluate Canada only View Native Query (Figure 12) is not available given this revision, but a SQL Profiler trace against the source database server (and a refresh of the M query) confirms that CanadaOnly was the only SQL query passed to the source database. Figure 13: Capturing the SQL statement passed to the server via SQL Server Profiler trace There’s more Partial query folding A query can be “partially folded”, in which a SQL statement is created resolving only part of an overall query The results of this SQL statement would be returned to Power BI Desktop (or the on-premises data gateway) and the remaining logic would be computed using M’s in-memory engine with local resources M queries can be designed to maximize the use of the source system resources, by using standard expressions supported by query folding early in the query process Minimizing the use of local or on-premises data gateway resources is a top consideration Limitations of query folding No folding will take place once a native SQL query has been passed to the source system. For example, passing a SQL query directly through the Get Data dialog. The following query, specified in the Get Data dialog, is included in the Source Step: Figure 14: Providing a user defined native SQL query Any transformations applied after this native query will use local system resources. Therefore, the general implication for query development with native or user-defined SQL queries is that if they’re used, try to include all required transformations (that is, joins and derived columns), or use them to utilize an important feature of the source database not being utilized by the folded query, such as an index. Not all data sources support query folding, such as text and Excel files. Not all transformations available in the Query Editor or via M functions directly are supported by some data sources. The privacy levels defined for the data sources will also impact whether folding is used or not. SQL statements are not parsed before they’re sent to the source system. The Table.Buffer() function can be used to avoid query folding. The table output of this function is loaded into local memory and transformations against it will remain local. We have discussed effective techniques for accessing and retrieving data using Microsoft Power BI. Do check out this book Microsoft Power BI Cookbook for more information on using Microsoft power BI for data analysis and visualization. Read Next: Expert Interview: Unlocking the secrets of Microsoft Power BI Tutorial: Building a Microsoft Power BI Data Model Expert Insights:Ride the third wave of BI with Microsoft Power BIlast_img read more

Facebook releases DeepFocus an AIpowered rendering system to make virtual reality more

first_imgFacebook released a new “AI-powered rendering system”, called DeepFocus yesterday, that works with Half Dome, a special prototype headset that Facebook’s Reality Lab (FRL) team had been working on over the past three years. HalfDome is an example of a “varifocal” head-mounted display (HMD) that comprises eye-tracking camera systems, wide-field-of-view optics, and adjustable display lenses that move forward and backward to match your eye movements. This makes the VR experience a lot more comfortable, natural, and immersive. However, HalfDome needs software to work in its full potential, that is where DeepFocus comes into the picture. “Our eyes are like tiny cameras: When they focus on a given object, the parts of the scene that are at a different depth look blurry. Those blurry regions help our visual system make sense of the three-dimensional structure of the world and help us decide where to focus our eyes next. While varifocal VR headsets can deliver a crisp image anywhere the viewer looks, DeepFocus allows us to render the rest of the scene just the way it looks in the real world: naturally blurry,” mentions Marina Zannoli, a vision scientist at FRL. Facebook is also open-sourcing DeepFocus, making the system’s code and the data set used to train it available to help other VR researchers incorporate it into their work. “By making our DeepFocus source and training data available, we’ve provided a framework not just for engineers developing new VR systems, but also for vision scientists and other researchers studying long-standing perceptual questions,” say the researchers. DeepFocus A research paper presented at SIGGRAPH Asia 2018 explains that DeepFocus is a unified rendering and optimization framework based on convolutional neural networks that solve a full range of computational tasks. It also helps with enabling real-time operation of accommodation-supporting HMDs. The CNN comprises “volume-preserving” interleaving layers that help it quickly figure out the high-level features within an image. For instance, the paper mentions, that it accurately synthesizes defocus blur, focal stacks, multilayer decompositions, and multiview imagery. Moreover, it makes use of only commonly available RGB-D images, that enable real-time, near-correct depictions of a retinal blur. Researchers explain that DeepFocus is  “tailored to support real-time image synthesis..and ..includes volume-preserving interleaving layers..to reduce the spatial dimensions of the input, while fully preserving image details, allowing for significantly improved runtimes”. This model is more efficient unlike the traditional AI systems used for deep learning based image analysis as DeepFocus can process the visuals while preserving the ultrasharp image resolutions that are necessary for delivering high-quality VR experience. The researchers mention that DeepFocus can also grasp complex image effects and relations that includes foreground and background defocusing. However, DeepFocus isn’t just limited to Oculus HMDs. Since DeepFocus supports high-quality image synthesis for multifocal and light-field display, it is applicable to a complete range of next-gen head-mounted display technologies. “DeepFocus may have provided the last piece of the puzzle for rendering real-time blur, but the cutting-edge research that our system will power is only just beginning”, say the researchers. For more information, check out the official Oculus Blog. Read Next Magic Leap unveils Mica, a human-like AI in augmented reality MagicLeap acquires Computes Inc to enhance spatial computing Oculus Connect 5 2018: Day 1 highlights include Oculus Quest, Vader Immortal and more!last_img read more

Two new destinations with Costsavers 202021 Asia collection

first_img Travelweek Group << Previous PostNext Post >> TORONTO — Costsaver has brought back Asia for a second year, with two new destinations added to the list after the program’s successful launch in 2019.The newly unveiled 2020-21 program also heralds the official unveiling of Costsaver’s new ultra-flexible ‘Mini Breaks’ for Asia, along with four new tours, expanding the total brand offering to 10 trips across eight countries.Building on Costsaver’s commitment to delivering value tours without compromise, the 2020/2021 series includes all the quality essentials that are the bedrock of the brand with even more optional experiences to allow clients to tailor their dream holiday, says the company. Costsaver is part of The Travel Corporation.“We were overwhelmed by the positive response to our launch into Asia,” said Janice Farnum, Director of Product for Asia. “Clients are loving the Costsaver way to travel that gives them everything they need for a great holiday and the tools to tailor it to perfection. It’s a refreshing way to explore Asia, and we’re so excited to introduce our new trips, showcasing even more of this stunning continent.”New for 2020/2021, Costsaver has added a 22-day Essence of South East Asia itinerary exploring Thailand, Cambodia and Vietnam. The trip includes hand selected 3 and 4-star hotels, transportation on comfortable air-conditioned coaches, internal flights and visits to some of the most iconic sights in each destination, such as a cruise through Halong Bay, an unforgettable trip to Angkor Wat and an eye-opening journey to Thailand’s Golden Triangle.More news:  Le Boat has EBBs along with its new 2020 brochureTo allow clients the full flexibility to personalize their holiday, carefully curated optional experiences are available throughout the trip in addition to plenty of free time to explore the destinations their own way with the help of their Travel Director’s expertise.The new program also sees Costsaver clients exploring further south on the Asian continent into Malaysia & Singapore. The new 15-day Thai and Malaysian Odyssey is the first Costsaver trip to Malaysia and includes for the first time, a number of destinations in the Southern region of Thailand, such as the popular tropical hub of Krabi and an oceanside stay in the secluded beach town of Bang Saphan Noi.And in response to the popularity of its 2019 4-day Hong Kong Highlights trip, the brand has introduced a new category, ‘Mini Breaks,’ which includes an exciting new destination as part of its Amazing Singapore tour. This 4-day micro trip is the perfect embodiment of the new ‘Mini Breaks’ travel style which lets clients explore a single destination as a short standalone holiday or as an add-on to another itinerary.More news:  Kory Sterling is TL Network Canada’s new Sales Manager CanadaCostsaver says it revised its China itinerary for 2020/2021 to include a 3-night cruise down the Yangtze River, seeing sites like The Goddess Stream of the Three Gorges, the monasteries and shrines of the 2000-year-old Ghost City and the other sites along the iconic riverway.The success of the 2019 season has shown the brand that travellers are craving a unique travel style which Costsaver provides, offering the ease and comfort of a guided holiday with the freedom and flexibility of individual travel at a great value price point, just like its tagline ‘value tours without compromise’ suggests, says Farnum.Optional experiences include a food tour in Vietnam, a cultural exchange with a hill tribe in Thailand and a Kung Fu show in China. Two new destinations with Costsaver’s 2020-21 Asia collection Posted bycenter_img Tags: Asia, CostSaver Share Friday, July 19, 2019 last_img read more