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Prescribing errors in post - COVID-19 patients: prevalence, severity, and risk factors in patients visiting a post - COVID-19 outpatient clinic
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019
(COVID-19), has challenged healthcare globally. An acute increase in the number of hospitalized patients has neces‑
sitated a rigorous…
(COVID-19), has challenged healthcare globally. An acute increase in the number of hospitalized patients has neces‑
sitated a rigorous…
Fortifying Connectivity: A Hybrid Algorithm Approach for Augmented Security and Efficiency in Bluetooth Technology
Bluetooth technology has become an integral part of our daily lives, providing wireless connectivity and seamless communication between wide ranges of devices. Bluetooth uses a master-slave architecture, where one device acts as the master, and the…
Jurnal Internasional Afrika vol. 10 issue 1 2020
African Journal of Emergency Medicine
Burden and spectrum of paediatric respiratory diseases at a referral hospital in North-Central Nigeria - A five year review
Introduction: Globally respiratory diseases, comprising a broad range of disease conditions due to infectious and
non-infectious causes, are a major cause of childhood morbidity and mortality. Thus, identification of the burden
of respiratory…
non-infectious causes, are a major cause of childhood morbidity and mortality. Thus, identification of the burden
of respiratory…
Role of airline promotion activities in destination branding: Case of Dubai vis-à-vis Emirates Airline
Dubai, the globally known Emirate of the United Arab Emirates, has achieved an image of its own as a sun, sand and sea destination with the added X-factor of safety and shopping to enhance visitors’
positive perceptions. Equally well perceived by…
positive perceptions. Equally well perceived by…
Safety and Health at Work Vol. 14 Issue 2 2023
Scoping Review of the Occupational Health and Safety Governance in Sudan: The Story So Far (Review Article)
Background: The reoccurrence of occupational accidents in Sudan is evidence of a lack of effective Occupational Health and Safety (OSH) governance in Sudan.
Methods: This scope review research articles on OSH governance in Sudan from different…
Methods: This scope review research articles on OSH governance in Sudan from different…
Between clicks and colleagues: the Janus-faced nature of
data in the media industry
This research delves into the dualistic nature of datafication, revealing its capacity to both illuminate and mask realities within media organiza-
tions. Datafication, the strategic use of data in organizations, offers insights into, and…
tions. Datafication, the strategic use of data in organizations, offers insights into, and…
Safety and Health at Work Vol. 13 Supplement 1 2022
Cross-cultural adaptation, reliability and validity of the Portuguese version of the Brief Norwegian Safety Climate Inventory (Brief NORSCI)
The aim of this study was to translate and validate the Portuguese version of the 11-item Brief Norwegian Safety Climate Inventory (Brief NORSCI) to Portuguese language and test its validity and reliability in a Portuguese LPG plant. The validity was…
Penerapan Webgis Penyebaran Apotek Dikota Rantauprapat
Kesulitan dalam mencari lokasi apotek dalam suatu daerah tertentu
mengakibatkan kebutuhan masyarakat tidak terpenuhi. Tujuan penelitian ini
untuk membuat penerapan sistem informasi geografis berbasis web (Webgis)
perihal sebaran pada sejumlah…
mengakibatkan kebutuhan masyarakat tidak terpenuhi. Tujuan penelitian ini
untuk membuat penerapan sistem informasi geografis berbasis web (Webgis)
perihal sebaran pada sejumlah…
THE EFFECT OF PROFITABILITY, LIQUIDITY, AND LEVERAGE ON FIRM VALUE WITH DIVIDEND POLICY AS INTERVENING VARIABLE
(Case Study on Finance Sector In Indonesian Stock Exchange 2016-2020 Period)
The purpose of this study aims to examine the effect of profitability, liquidity, and leverage on firm value of dividend policy as an intervening variable. This have a look at uses quantitative methods by collecting secondary data, specifically…
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS
This paper introduces software packages for efficiently imputing missing data using
deep learning methods in Python (MIDASpy) and R (rMIDAS). The packages implement
a recently developed approach to multiple imputation known as MIDAS, which…
deep learning methods in Python (MIDASpy) and R (rMIDAS). The packages implement
a recently developed approach to multiple imputation known as MIDAS, which…