Advanced Analytics in Indirect Taxation by Central Board of Indirect Taxes & Customs
The Central Board of Indirect Taxes & Customs in India leverages technology through ADVAIT to provide near real-time data capture, predictive analytics, and fraud detection in the realm of indirect taxation. This initiative enhances taxpayer service with cutting-edge data visualization, mobile acces
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Understanding Vocational Profiling Tools for Career Progression
Vocational profiling tools help assess individual skills, interests, and needs to support career decisions. Components include dreams, skills, learning styles, and support systems. Effective profiles focus on aspirations, talents, challenges, and solutions, guiding individuals towards suitable emplo
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Analyzing scRNA-seq Data Using Seurat: Practical Session Overview
Explore the practical steps involved in analyzing single-cell RNA sequencing (scRNA-seq) data with Seurat in this informative session. Learn how to install R and essential packages, download example datasets, understand raw data files, load data into R-Studio, and access data within a Seurat object.
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Ask On Data for Efficient Data Wrangling in Data Engineering
In today's data-driven world, organizations rely on robust data engineering pipelines to collect, process, and analyze vast amounts of data efficiently. At the heart of these pipelines lies data wrangling, a critical process that involves cleaning, transforming, and preparing raw data for analysis.
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Data Wrangling like Ask On Data Provides Accurate and Reliable Business Intelligence
In current data world, businesses thrive on their ability to harness and interpret vast amounts of data. This data, however, often comes in raw, unstructured forms, riddled with inconsistencies and errors. To transform this chaotic data into meaningful insights, organizations need robust data wrangl
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Exploring Genetics and Genomics in Integrative Biology
Delve into the world of genetics and genomics through the lens of integrative biology, investigating the differences between cell types, the rationale for gene expression profiling, and the analysis of differential gene expression in various diseases. Uncover the significance of gene ontology, co-ex
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Importance of Data Collection in Policy-Making for IDP Profiling
Understanding the significance of collecting data for policy-making is crucial, especially in the context of Joint IDP Profiling services. Profiling IDPs through collaborative data collection helps identify displaced individuals or groups, leading to targeted advocacy, protection, assistance, and ev
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Gene Expression Profiling in Statistical Genetics Summer Institute 2020
This content provides information on the Summer Institutes of Statistical Genetics module, focusing on gene expression profiling. It includes details on the schedule, experimental design, RNA sequencing workflow, modes of bulk RNA sequencing, and RNASeq software. The content discusses crucial steps
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Understanding Real-Time PCR and its Applications
Real-Time PCR, also known as quantitative PCR, is a specialized technique used in molecular biology for gene expression analysis, medical research, disease diagnosis, viral quantification, and more. It enables the real-time visualization and measurement of DNA sequences in a sample, playing a crucia
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Deep Dive into ETL Workflow for Integrating OMOP Data Models
This content delves into the process of ETL (Extract, Transform, Load) for integrating OMOP (Observational Medical Outcomes Partnership) data models, focusing on mapping ALPHA residencies to the OMOP person table. It covers loading data, data profiling, and mapping strategies in a detailed demonstra
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Efficient Identification of Memory Chip Errors with On-Die ECC
State-of-the-art memory error mitigations face challenges when dealing with on-die Error-Correcting Codes (ECC). "HARP" introduces a Hybrid Active-Reactive Profiling method to address these challenges by analytically studying the effects of on-die ECC and identifying key issues. Through hybrid profi
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Understanding RESEA Program in Worker Profiling and Reemployment Services
The RESEA program aids in assessing unemployment insurance eligibility and providing reemployment services to claimants. Profiling helps target those at risk of long-term unemployment. Coordination between UI and employment service providers is essential for effective state operations. New initial c
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Understanding Data Governance and Data Analytics in Information Management
Data Governance and Data Analytics play crucial roles in transforming data into knowledge and insights for generating positive impacts on various operational systems. They help bring together disparate datasets to glean valuable insights and wisdom to drive informed decision-making. Managing data ma
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LLVM Line Coverage Profiling Implementation Overview
Line coverage profiling in LLVM is implemented using built-in instrumentation facilities. This approach involves inserting PGO probes, interpreting them as coverage measurements, and generating coverage reports to assess the coverage of a test suite. The process allows for generating profile informa
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Understanding Racial and Identity Profiling Act (RIPA) in California
The Racial and Identity Profiling Act (RIPA) in California requires law enforcement agencies to collect demographic data and other identifying characteristics based on officers' perceptions during pedestrian and traffic stops. The purpose of RIPA is to eliminate racial and identity profiling, improv
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Understanding Profiling in Forensic Psychology
Explore the concept of profiling in forensic psychology, including its techniques, history, and applications in criminal investigations. Learn about the various categories of profiling and the role psychologists play in identifying unknown individuals based on behavioral patterns and characteristics
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Understanding DNA Profiling: Techniques and Applications
DNA profiling, invented by Alec Jeffreys in 1985, is a technique used to distinguish between individuals of the same species based on their DNA. The process involves breaking down cells to release DNA, cutting the DNA into fragments using restriction enzymes, separating and analyzing fragments based
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Understanding the Impact of Dirty Data on Quality Improvement
Real-world data often contains errors and inconsistencies, leading to significant costs for businesses. Research activities focus on error correction, object identification, profiling, and data integration to enhance data quality. A principled approach based on data dependencies offers a promising s
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Why Brands Can Trust Cinema: An Accountable Medium
Cinema is a reliable medium for brands due to its accountability and transparency in operations. DCM, as a fully digital entity since 2012, offers informed forecasts, daily updates, and reported ticket sales. By forecasting admissions and providing accountable reporting, cinemas ensure trustworthy d
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Understanding Data Collection and Analysis for Businesses
Explore the impact and role of data utilization in organizations through the investigation of data collection methods, data quality, decision-making processes, reliability of collection methods, factors affecting data quality, and privacy considerations. Two scenarios are presented: data collection
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Examples of Real-World Evidence in Regulatory Decisions by FDA
FDA showcases illustrative examples of how Real-World Evidence (RWE) has been utilized in regulatory decisions, highlighting its value across different submission types, data sources, and purposes from FY12-FY19. The FDA report features cases like a modified hemodialysis catheter end cap, tumor prof
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Overview of RNA Sequencing Data: Insights from Transcriptomic Profiling
This data set presents key findings from RNA sequencing analysis, including distribution of mapped reads, junction identification, TPM correlation, principal component analysis, and gene expression effects. Visual representations illustrate differences in gene expression profiles across samples, emp
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Data Science Techniques in Business Intelligence and Analytics
Explore various data science tasks and techniques in business intelligence and analytics, including co-occurrences, associations, complexity control, surprise measurement, profiling, and link prediction. Learn how these methods help in understanding patterns, behaviors, and connections within data t
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The Future of Consumer Profiling and Commercial Communications: Insights from an International Conference
Explore the impact of platform economies, neuromarketing, and AI on commercial communications in the digital age. Learn how VLOPs use data to create user profiles and drive targeted advertising. Delve into the challenges of regulating VLOPs in the evolving landscape of consumer profiling.
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Data Analysis and ADC Droop Correction Meeting Summary
The meeting on 2nd August 2013 discussed phase profiling with unfiltered and filtered mixer/diode, ADC droop correction using an IIR filter, and calibration techniques. Various plots and phase stability analyses were presented by Jack Roberts, highlighting the importance of accurate calibration for
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Market-Led Approaches to New Variety Design in Africa
Explore Chapter 4 of "The Business of Plant Breeding" focusing on new variety design and product profiling in Africa. Understand core methods of product profiling, trait prioritization, and setting breeding objectives to meet client needs. Learn how to create new designs, set benchmarks, and make tr
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Effective Data Selection Strategies for Model Building in Profiling Methods Seminar
Learn about the essential steps involved in selecting the right data for building effective models in the field of profiling methods. Understand the key considerations for data collection, formats, sample set determination, and targeting the right population to derive meaningful insights and outcome
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Advancements in Optical Measurements for Ocean Observatories: The Argo Program
The Argo program integrates optical sensing into ocean observatories using profiling floats to gather data from the deep sea. With nearly 1,000,000 profiles to date, the Argo Observing System offers a global, real-time monitoring solution. Utilizing optics on profiling floats has enabled observation
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Profiling, Travel Bans, and Legal Rights Overview
Profiling individuals based on their characteristics for making decisions raises legal and ethical concerns, particularly when involving race, ethnicity, or religion. This excerpt highlights a case involving profiling during air travel, leading to wrongful detainment and questioning of individuals w
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Continuous Asphalt Mixture Compaction Assessment Using Density Profiling System
Development of a comprehensive work plan for the assessment of asphalt mixture compaction using the Density Profiling System (DPS). The project aims to create a master database of field and lab measurements, refine protocols for dielectric value-density relationships, propose changes for sensor bias
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Online Privacy Concern in Post-Transition Era: A Study on European Internet Users
The study explores online privacy concerns among Internet users in Europe, focusing on countries in the post-transition era such as Croatia, FYR Macedonia, Serbia, and Bosnia and Herzegovina. Findings reveal growing discomfort with online profiling and data misuse, with significant variations based
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Basics of Hypothesis Testing in Gene Expression Profiling
The lecture covers the essential aspects of hypothesis testing in gene expression profiling, emphasizing experimental design, confounding factors, normalization of samples, linear modeling, gene-level contrasts, t-tests, ANOVA, and significance assessment techniques. Practical insights are shared on
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Semi-Supervised User Profiling with Heterogeneous Graph Attention Networks
Utilizing heterogeneous graph attention networks, this study addresses the limitations of existing user profiling methods by integrating multiple data types and capturing rich interactions in user data. The approach tackles critical problems in representation learning, information propagation, and m
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ETM Profiling for Cavity Loss Mitigation Due to Absorbers
The ETM profiling aims to mitigate cavity loss caused by point absorbers through input power analysis versus arm power. The study includes data on coating absorption, arm power loss predictions, and optimization strategies such as polishing and mirror surface design. The effect of new coatings is co
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Enhancing High Performance Data Division with LIOProf for Lustre Systems
Advanced tools like LIOProf are essential for optimizing parallel I/O performance over Lustre systems. This technology enables detailed profiling of I/O activities in complex environments, addressing challenges related to bottleneck detection, legacy tool limitations, and Lustre RPC tracing. By faci
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Integrating Administrative Data in Health Studies: A Case Study
This case study explores the integration of administrative data in health studies focusing on profiling the health status of Irish regions in 2010. The objectives include linking regional health profiles to prescribing patterns, incorporating demographics and drug scheme coverage rates, and simulati
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Continuous Audit at Insurance Companies
Creating a rule-based model for anomaly detection, this research focuses on developing an architecture for continuous audit systems. By utilizing historical data, the scope includes detecting fraud, discrepancies, and internal control weaknesses, leading to a maturity model for automated continuous
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Managing Performance Issues with VS2010 Profiling & Load Testing
Explore the basics of web performance tests and load tests using Visual Studio 2010 Profiling and Load Testing. Learn how to identify and address performance issues, establish performance baselines, and catch problems early in the development cycle. Discover best practices for enhancing application
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Understanding Data Protection Regulations and GDPR Overview
This insightful article delves into the essence of data protection, defining various terms like personal data, anonymized data, and profiling. It also discusses the implications of GDPR, how it applies within and outside the EU, and its impact on law enforcement and intelligence services. Furthermor
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Challenges and Lessons Learned in CSU Millennium to Alma Migration
The migration from CSU Millennium to Alma presented various data profiling challenges and migration points, such as data cleanup recommendations, handling of electronic resources, post-migration cataloging issues, and unique complications in managing Alma instances across campuses. Lessons include t
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