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2024 SEP 7 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- Data detailed on Neurodegenerative Diseases and Conditions - Alzheimer Disease have been [...]

Byline: jduggan In the ever-evolving world of digital marketing, Google has once again adjusted its stance on third-party cookies. Although third-party cookies will still be available in Chrome next year, [...]

Byline: Isaac Sacolick When leaders say they want to be a data-driven organization, a key objective is empowering business people to use data, predictive models, generative AI capabilities, and data [...]

Although international business (IB) and international management (IM) research focusing on the African context has risen steadily in recent years, understanding of the genesis and evolution of this burgeoning corpus of literature is still limited. To address this gap, we quantify and evaluate 2 decades of Africa-focused research published in leading IB and IM journals by mapping publishing trends; offering insights into sample characteristics; and highlighting prominent theories, research design, and significant data analysis techniques employed in Africa-focused publications. We augment the insights gleaned from this systematic endeavor with a bibliometric analysis, which includes analyzing citation records, authorship patterns, and the underlying conceptual and intellectual evolution of this literature. The findings indicate that Africa-focused IB and IM research from 2002 to 2021 has coalesced around four major thematic clusters: (1) economic structures, institutional practices, and corporate social responsibility; (2) the Ubuntu philosophy and management strategies; (3) entrepreneurship; and (4) corporate governance. Building on these foundational themes, we propose distinct research directions for future researchers interested in studying the African context. Keywords Africa * Bibliometric analysis * International business * International management * Bibliographic coupling * Content analysis, 1 Introduction The continent of Africa, as a collective of underdeveloped and developing economies, is one of the most important emerging markets in today's economic landscape (Dimova & Pela, 2018; [...]

Data - a word that packs a punch but can be hard to define. Often, we use the word so loosely and generically that we fail to realize what data [...]

Data--a word that packs a punch but can be hard to define. Often, we use the word so loosely and generically that we fail to realize what data we need [...]

New or newly engineered analytical technology has brought about an array of analytical systems for laboratory testing just as information technology has brought faster and more innovative ways of displaying [...]

Byline: Matthew Tyson Java 22 introduces stream gatherers, a new mechanism for manipulating streams of data. Stream gatherers are the delivered feature for JEP 461, allowing developers to create custom [...]

In the current economic climate, mergers, acquisitions, and divestitures persist as strategic moves with a pressing demand for fast and effective data migration. Every step in the process raises concerns, [...]

Like Christmas, the 15 December deadline for implementing the International Standard on Quality Management 1 (ISQM 1) has come and gone. Now, you need to turn your attention to ensuring [...]

The Department of Homeland Security (DHS) was founded in 2002, integrating 22 agencies from different Departments into 13 operational components to perform the vital mission of securing the nation from [...]

Whenever we're brought on board to support a camp in creating a greater sense of inclusion and belonging within its community, almost always, one of the first things we're asked [...]

Data wrangling, dataops, data prep, data integration—whatever your organisation calls it, managing the operations to integrate and cleanse data is labor intensive. Many businesses struggle to integrate new data sets [...]

Phased array ultrasonic testing (PAUT) has been steadily supplanting conventional ultrasonic testing since its introduction in the early 2000s. PAUT offers significant advantages over conventional UT in terms of both [...]

Topical drug products are widely used in treating a variety of human skin diseases; however, the development of topical generics lags far behind other pharmaceutical product categories (1). One key [...]

Objective: To investigate whether accounting for past patient composition in evaluations of the association between public quality reports and patient selectivity changes findings and conclusions. Data Sources: Secondary data analysis of public reports of Assisted Reproductive Technology Clinic success rates between 2011 and 2018. Study Design: Two sets of fixed effects models, (1) a standard fixed-effects model (FE) and (2) a dynamic panel model using structural equation modeling estimated with maximum-likelihood (ML-SEM) with one- and two-year lagged patient characteristics, are compared. The outcome variables are patient composition features associated with success rates, including two age categories and eight diagnoses of infertility. Two-year lagged success rates for any live birth and a singleton live birth are central predictor variables. Data Collection/Extraction Methods: Clinics with complete records for the 2011-2018 period were included (N = 303). Principal Findings: For live birth success rates, the two models show increases in the two-year lagged success rate is associated with a reduction in (1) the transformed percentage of patients with endometriosis (FE: [beta] = -0.006, SE = 0.002, p < 0.01; ML-SEM: [beta] = -0.005, SE = 0.002, p < 0.01) and (2) the percentage of patients with tubal diagnoses (FE: [beta] = -0.090, SE = 0.017, p < 0.001; ML-SEM: [beta] = -0.064, SE = 0.027, p < 0.05). For singleton birth success rates, the models show positive associations between the two-year lagged success rate and the percent of patients over 35 years old (FE: [beta] = 0.219, SE = 0.033, p < 0.001; ML-SEM: [beta] = 0.095, SE = 0.047, p < 0.05). Overall, the FE models show numerous significant associations with the two-year lagged success rate not observed in the ML-SEM models. Thus, the preferred and theoretically appropriate model (ML-SEM) and the more commonly used model (FE) yield different results. Conclusions: Researchers and policymakers should use models that account for past patient composition when evaluating the associations between quality reports and patient selectivity. KEYWORDS ART, dynamic panel modeling, patient selection, quality reporting What is known on this topic * Public quality reporting is a common regulatory and incentivization tool in the United States. * Key concerns about public quality reporting include the possibility of changes in patient composition due to increased consumer choice and/or provider behavior. * Evidence of this kind of patient selection via the provider or patient mechanisms is mixed and often does not address how past patient composition may influence these associations. What this study adds * The comparison of two fixed-effects approaches, one that accounts for past patient composition and one that does not, demonstrates the importance of addressing past patient composition when investigating the association between past quality reports and current patient composition. * The paper employs a dynamic panel model using structural equation modeling estimated with the maximum likelihood that can be used to account for associations between lagged quality report metrics and patient composition changes while also accounting for previous patient composition., 1 | INTRODUCTION Quality reporting is an increasingly common mechanism used for regulation and incentivization in the US health care system. Often, these reports are made publicly available with the [...]

In 2018, Nick Couldry and Ulises A. Mejias published a major reassessment of our understanding of the role of Big Data in contemporary global society. The abstract to their paper [...]