A new approach to determine occupational accident dynamics by using ordinary differential equations based on SIR model.

The motivation of this study is to develop and establish an occupational accident dynamical model (OA model) based on Susceptible-Infected-Recovered framework. In order to investigate the dynamics of the OA model, monthly occupational accident data from Turkey between 2013 and 2020 has been selected as dataset. The OA model is defined by a coupled first-order ordinary nonlinear differential equation with four variables.

Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis.

This research aimed to examine the effectiveness of artificial intelligence applications in asthma and chronic obstructive pulmonary disease (COPD) outpatient treatment support in terms of patient health and public costs. The data obtained in the research using semiotic analysis, content analysis and trend analysis methods were analyzed with strengths, weakness, opportunities, threats (SWOT) analysis. In this context, 18 studies related to asthma, COPD and artificial intelligence were evaluated.

The effect of emergency department history on health literacy level and role of digital literacy: An observational study.

In this research, it was aimed to evaluate the effect of emergency department history on health literacy level and the role of digital literacy. A total of 454 participants were subjected to survey including health literacy scale, the digital literacy scale, and the demographic information form. Participants were divided into 2 groups as emergency medicine service (EMS) history (n = 269) and no EMS history (n = 185) groups.

Investigation of the effect of enzymatic and alkali treatments on the physico-chemical properties of Sambucus ebulus L. plant fiber.

The investigation aims to determine the effect of enzymatic and alkali treatments on Sambucus ebulus L. stem fiber. For this purpose, Sambucus ebulus L.

Energizing Workplace Dynamics: Exploring the Nexus of Relational Energy, Humor, and PsyCap for Enhanced Engagement and Performance.

This study delves into the dynamics of relational energy (RE) within an organizational context, examining some of its antecedents and decedents. Specifically, it investigates the influence of psychological capital (PsyCap) and humor on RE, and, subsequently, the latter's impact on job performance (JB) mediated by job engagement (JE). A research model based on structural equation modeling carried out with 481 employees in private service industries demonstrates several key relationships.

Tourist distribution in Northern Mediterranean Basin countries: 2004-2020.

Purpose: The feasibility of measuring the touristic ecosystem in European countries with a Mediterranean coast based on various parameters, including diversity, turnover, and the number of tourists, was investigated in this study. The data from the period between 2004 and 2020 were analyzed.

Methodology: A distribution analysis of annual tourist gains was conducted, and the distribution of incoming tourists across the countries was examined based on their area, using Atkinson, Theil, and Hoover inequality indices.

Unearthing Insights into Metabolic Syndrome by Linking Drugs, Targets, and Gene Expressions Using Similarity Measures and Graph Theory.

Aims And Objectives: Metabolic syndrome (MetS) is a group of metabolic disorders that includes obesity in combination with at least any two of the following conditions, i.e., insulin resistance, high blood pressure, low HDL cholesterol, and high triglycerides level.

Effect of Cold Therapy on Managing Postoperative Pain Following Breast Conserving Surgery.

Background: Cold therapy is an important non-pharmacologic method used for pain relief.

Aim: In the present study, we aimed to evaluate the therapeutic effect of cold therapy on managing postoperative pain following breast-conserving surgery (BCS) and assess its effect on recovering quality.

Method: The study was planned and implemented as a randomized controlled clinical study.

Evaluation of the relationship between theory of mind relating to cognitive performance and post-traumatic stress disorder in Syrian refugee amputees living in Turkey.

Background: According to the available literature, studies examining the relationship between theory of mind (ToM) and post-traumatic stress disorder (PTSD) have a small sample size and are few in number.

Aims: This study aims to investigate the relationship between the potential presence of PTSD in Syrian refugee amputees living in Turkey, ToM skills measured by Reading the Mind in the Eyes Test (RMET), and variables related to amputation.

Method: Our 69 follow-up amputee patients answered a socio-demographic and amputation data form, and the RMET, PTSD checklist for DSM-5 (PCL-5), and Beck Depression Inventory-II (BDI-II) completed a ToM task.

Additive manufacturing process selection for automotive industry using Pythagorean fuzzy CRITIC EDAS.

For many different types of businesses, additive manufacturing has great potential for new product and process development in many different types of businesses including automotive industry. On the other hand, there are a variety of additive manufacturing alternatives available today, each with its own unique characteristics, and selecting the most suitable one has become a necessity for relevant bodies. The evaluation of additive manufacturing alternatives can be viewed as an uncertain multi-criteria decision-making (MCDM) problem due to the potential number of criteria and candidates as well as the inherent subjectivity of various decision-experts engaging in the process.

Analysis of Home Healthcare Practice to Improve Service Quality: Case Study of Megacity Istanbul.

Home healthcare services are public or private service that aims to provide health services at home to socially disadvantaged, sick, needy, disabled, and elderly individuals. This study aims to increase the quality of home healthcare practice by analyzing the factors affecting it. In Megacity Istanbul, data from 1707 patients were used by considering 14 different input variables affecting home healthcare practice.

Green human resources management: A novel tool to boost work engagement.

Increasing environmental awareness in business life has given way to Green Human Resources Management practices. The positive corporate image created by GHRM is encouraging for many employees and boosts their work engagement. GHRM practices make employees feel proud about their organization and creates a value-based ground for working in their current companies.

The relationship of work engagement with job experience, marital status and having children among flexible workers after the Covid-19 pandemic.

The COVID-19 pandemic has brought about serious consequences in business world practices. Among these, flexible working policies have increased to a great extent. This has resulted in serious problems in the work-life balance.

Analysis of the relationship between tuberculosis-related mortality and nitrous oxide emission levels in the world with the environmental Kuznets curve method.

Background: It was aimed to analyze the relationship between tuberculosis-related mortality and nitrous oxide emission levels in the world with the Environmental Kuznets Curve (EKC) Method.

Methods: WHO ICD-10 mortality list data and the World Bank Country Data (WBCD) were used between 1997 and 2017 for 12 countries. Cubic regression analysis was used for EKC Analysis.

Impact of COVID-19 anxiety on work stress in seafarers: the mediating role of COVID-19 burnout and intention to quit.

Background: The frequent encounters of seafarers with people from different countries compared to other occupations increase their risk of contracting different variants of coronavirus disease 2019 (COVID-19). This risk may cause additional anxiety for them. The main purpose of this research is to determine the mediating role of COVID-19 burnout and intention to quit in the impact of seafarers' anxiety about contracting COVID-19 on work stress.

Identification of phantom movements with an ensemble learning approach.

Phantom limb pain after amputation is a debilitating condition that negatively affects activities of daily life and the quality of life of amputees. Most amputees are able to control the movement of the missing limb, which is called the phantom limb movement. Recognition of these movements is crucial for both technology-based amputee rehabilitation and prosthetic control.

Design of Analytical Method Validation Protocol Evaluating Environmental Monitoring of AND Contamination on Surfaces Based on Cleaning Validation Procedures: A Multi Component RP-UHPLC Method.

Environmental monitoring of anti-neoplastic drug (AND) residues in workplaces is crucial to limit exposure to workers who handle with them. Although wipe sampling is the most appropriate methodology to evaluate the risk, conflicting results are also reported due to the lack of standardized and validated procedures. In this study, procedures for surface contamination of ANDs in workplaces are presented, with a focus on sampling, sample preparation and instrumentation.

Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection.

ELECTRE is a family of multi-criteria decision analysis techniques, which has the ability to provide as much as possible precise and suitable set of actions or alternatives to the underlying problem by eliminating the alternatives, which are outranked by others. Group decision-making is an effective process to provide the most appropriate solution to real-world decision-making scenarios by considering and merging the expert opinions of multiple individuals on the problem. The aim of this study is to present an extended version of the ELECTRE I model called the Fermatean fuzzy ELECTRE I method for of multi-criteria group decision-making with Fermatean fuzzy human assessments.

Music of metagenomics-a review of its applications, analysis pipeline, and associated tools.

This humble effort highlights the intricate details of metagenomics in a simple, poetic, and rhythmic way. The paper enforces the significance of the research area, provides details about major analytical methods, examines the taxonomy and assembly of genomes, emphasizes some tools, and concludes by celebrating the richness of the ecosystem populated by the "metagenome."

Environmental performance and international trade in China: The role of renewable energy and eco-innovation.

Renewable energy and green innovation can enhance environmental performance by encouraging international trade, as anticipated by the current theoretical framework. This study investigates how renewable energy and eco-innovation affect international trade and environmental performance using quarterly data series from 1981 to 2018 for China. The study applies a quantile-based autoregressive distributed lag model.

The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine.

In this work, the new VIKOR methods are established using the generalized Pythagorean fuzzy soft sets (GPFSSs). For GPFSSs, the distance measures such as Hamming, Euclidean, and generalized are given. Further, the basic characteristics of these distance measures are examined.

Whole-genome sequencing as a first-tier diagnostic framework for rare genetic diseases.

Rare diseases affect nearly 300 million people globally with most patients aged five or less. Traditional diagnostic approaches have provided much of the diagnosis; however, there are limitations. For instance, simply inadequate and untimely diagnosis adversely affects both the patient and their families.

Psychiatric emergency visit trends and characteristics in a mental health epicenter in Istanbul during COVID-19 lockdown.

Background: We aimed to explore the impact of the preventive measures and partial lockdown to the psychiatric emergency department (PED) visits during COVID-19 pandemic in a mental health epicenter in Istanbul.

Methods: A total of 5839 patients admitted to PED during the lockdown period (LP) between March 30 and May 31, 2020, were enrolled in this retrospective cohort study. Data of these patients were compared to those of patients in the same period in 2019 between April 1 and June 2, 2019 (non-LP).

The role of customer experience in the effect of online flow state on customer loyalty.

Purpose: The Internet revolution has radically changed the means of conducting business all over the world in the past few decades. The digital medium enables consumers worldwide to shop online through B2C e-commerce websites in a convenient manner. Online websites compete to provide a compelling and seamless brand experience to retain their customers.