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Purpose: The purpose of this study was to explore the current status, trends, and conceptual structure of research on Waqf by doing a bibliometric analysis. Design/methodology/approach: Bibliometric analysis was performed with a package called Biblioshiny from R-Studio. The current study applies bibliometric quantitative methods and conceptual structure in knowledge discoveries. In the foreground, on August 18, 2023, the screening process utilized looked for all references to 'Waqf' OR 'Waqaf' in Scopus' 'article title' and discovered 658 scholarly contributions from 1914 to 2023. Findings: A total of 658 documents authored by 1,188 scholars in 247 journals published in the Scopus database between 1914 and 2023 were included in the present bibliometric analysis. A total of 31 countries worked together in contributing to the waqf research in the database. There were 332 affiliations between the universities or institutes where the authors served. Current literature on Waqf in the Ottoman and real estate context is matured, which stresses the need for more research productivity, especially within areas regarding Waqf related to management, assets, cash waqf, waqf institutions as well as waqf formulation that now becoming the new direction and focus of future research. Research limitations/implications: One of the study's limitations is that the data for this study was only gathered from the Scopus database. It would be far more advantageous if other researchers could conduct bibliometric analyses of Waqf by combining the data from Dimensions, PubMed, Web of Science (WoS/Wok), the Cochrane Library, or another database. Furthermore, this study could be improved if the bibliometric analysis included Author and Source Impact, Lotka's Law, Bradford's Law, and other bibliometric elements for descriptive analysis. Intellectual and Social structure could be explored in future research. Practical implications: It will help the researcher to perform bibliometric analysis in any field with a clear research flow, from major online databases with an easy user interface in a very short time. Originality/value: This study allows the researcher to find the most significant author or article in the field of study in which they are interested by using the overview of earlier research provided by bibliometric analysis. It provides a thorough introduction to the research domain for scholars and practitioners who are interested in it. The cluster of research in the Waqf resulting from this study will help them focus on the next research area via a Co-occurrence Network and translated into thematic which will enhance the selection and focus of new research directions that have greater potential to contribute growth of the Waqf study significantly. Keywords: Biblioshiny, Conceptual structure, Waqf cluster, Knowledge discoveries, Thematic map, Waqf Bibliometric, Introduction Waqf is a distinctive concept in Islamic finance with a rich historical legacy and significant cultural value. Waqf is one of Islamic philanthropy in developing and prospering Muslim communities [...]

In continuation of its efforts to help enterprises migrate to the cloud, Oracle said it is partnering with Amazon Web Services (AWS) to offer database services on the latter’s infrastructure. [...]

Says everything needs to move to autonomous database because there is no human labor associated which is obviously a cost savings and a security advantage over competitors. Says autonomous database [...]

Oracle (ORCL) and Google Cloud (GOOG, GOOGL) announced the general availability of Oracle Database@Google Cloud in four Google Cloud regions across the United States and Europe. Customers will now be [...]

INTERNET BUSINESS NEWS-(C)1995-2024 M2 COMMUNICATIONS US-based data quality and email marketing success solutions specialist Validity has forged a strategic reseller partnership with Database Consultants Australia, a provider of data management [...]

Byline: Isatou Ndure To build up supplier transparency, factories certified by the Ethical Supply Chain Program can now publish their details on Open Supply Hub as part of the programme’s [...]

Microsoft Azure Customers Worldwide Gain Access to a Fully Managed Druid-as-a-Service Solution, Enabling Faster and Easier Development of Real-Time Analytics Applications. Imply, the company founded by the original creators of [...]

We construct a novel database of monthly foreign exchange interventions for 49 countries over up to 22 years. We build on a text classification approach that extracts information about interventions from news articles and calibrate our procedure to data about actual interventions. This new dataset allows us to document stylized facts about the use of foreign exchange interventions for countries that neither publish their data nor make them available to researchers. Moreover, we provide evidence on how foreign exchange interventions are used in conjunction with capital controls and macroprudential policy. JEL Classification F31 (foreign exchange) * F33 (international monetary arrangements) * E58 (central banks and their policies), 1 Introduction The continued rise of financial globalization and the related openness of countries have brought new challenges for economic policymaking. Many countries believe they need better shields against volatile [...]

IMUNON announces database lock for its Phase 2 OVATION 2 Study evaluating the safety and efficacy of IMNN-001 in patients with advanced ovarian cancer. Median Overall Survival OS and Progression [...]

JJ Foodservice has created a database of charities that employees can access when considering volunteering opportunities. The directory, called Community Friends, lists local charities near every JJ branch, making it [...]

Database Market research report available. The Market is forecasted to grow from USD 1.5 billion in 2023 to USD 4.3 billion by 2028 at a CAGR of 23.3% during the [...]

Imply have announced the availability of Imply Polaris on Microsoft Azure. As a cloud database service for Apache Druid, Polaris provides a simple developer experience for building real-time analytics applications. [...]

Garmin announced expanded coverage of the Garmin Navigation Database to now include Europe. Previously available to aircraft owners and operators in the Americas, the Garmin Navigation Database delivers a trusted [...]

Objective: To assess the concordance between and benefit of adding prescription drug monitoring program (PDMP) data to all-payer claims database (APCD) data for identifying and classifying opioid exposure among insured individuals. Data Sources and Study Setting: Arkansas APCD and PDMP. Study Design: Enrollees in APCD were classified as (1) true positives: if they received opioids in both databases, (2) false positives: if they only received opioids in APCD, (3) true negatives: if they had no opioid exposure in both databases, (4) false negatives: if they only received opioids in the PDMP database. Specificity, sensitivity, negative, and positive predictive values were calculated using PDMP as the 'gold standard' database source. Subjects were also categorized as those who received any opioid, chronic opioid, high-dose opioid, or high-risk opioid therapies. Data Collection/Extraction Methods: Arkansas residents continuously enrolled with pharmacy coverage in 2016 were included. APCD and PDMP were linked using an encrypted enrollee identifier, gender, and year of birth. Principal Findings: The degree of concordance in opioid exposure between the two databases among 1,411,565 enrollees was high (sensitivity = 92.67%, specificity = 96.13%, positive predictive value = 91.60%, negative predictive value = 96.65%). Enrollees classified as having any opioid (APCD: 31.64% vs. PDMP: 31.26% vs. APCD +PDMP: 33.93%), chronic opioid (APCD: 7.81% vs. PDMP: 7.54% vs. APCD+PDMP: 8.24%), high-dose opioid (APCD: 10.60% vs. PDMP: 9.62% vs. APCD+PDMP: 11.33%), or high-risk opioid (APCD: 5.28% vs. PDMP: 5.33% vs. APCD+PDMP: 6.20%) therapies, were similar using only APCD versus PDMP versus the combined APCD and PDMP data sources. Conclusions: Claims data sources, such as APCDs, are fairly accurate in identifying opioid exposure and the level of opioid exposure among persons with continuous pharmacy coverage. KEYWORDS administrative claims data, all-payer claims database, opioid therapy, pharmacoepidemiology, prescription drug monitoring program What is known on this topic * Health care claims data are frequently used for pharmacoepidemiology research of opioids. * Prescription Drug Monitoring Programs (PDMPs) are a secondary data resource used to inform state-level initiatives in combatting the opioid epidemic. * All-Payer Claims Databases (APCDs) were created to Improve quality and mitigate costs within health care systems. APCDs capture health insurance claims from nearly all health care payers in each state. What this study adds * The sensitivity, specificity, and positive and negative predictive values of opioid prescription claims data are high when compared to a 'gold standard' prescription drug monitoring program data. * Claims data alone are fairly accurate in classifying enrollees according to the level/risk of opioid therapy. * Opioid prescription claims are fairly accurate in classifying opioid therapy exposure in population-level analyses., 1 | INTRODUCTION The rise in opioid overdoses and the number of persons struggling with opioid use disorder (OUD) is a public health crisis. (12) In 2019, close to 1.6 [...]

Microsoft (MSFT) and Oracle (ORCL) are expanding our collaboration to meet growing customer demand for Oracle Database@Azure around the world. Oracle Database@Azure will expand to five more regions, which brings [...]