35 results match your criteria: "University of Mediterranean[Affiliation]"

How Do Algorithmic Management Practices Affect Workforce Well-Being? A Parallel Moderated Mediation Model.

Behav Sci (Basel)

November 2024

Department of Business Administration, Institute of Graduate Research and Studies, University of Mediterranean Karpasia, 33010 Mersin, Turkey.

Modern workplaces increasingly use algorithmic management practices (AMPs), which shape task assignment, monitoring, and evaluation. Despite the potential benefits these practices offer, like increased efficiency and objectivity, their impact on workforce well-being (WFW) has raised concerns. Drawing on self-determination theory (SDT) and conservation of resources theory (COR), this study examines the relationship between algorithmic management practices and workforce well-being, incorporating job burnout (JBO) and perceived threat (PT) as parallel mediators and person-job fit (PJF) as a moderator.

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. Despite extensive regulatory reform, safety research and safety programmes over the past several decades, the construction sector remains notoriously dangerous in different regions across the world. Despite the fact that effective leadership is crucial for improving workplace safety behaviour (SB), there have been insufficient studies on how benevolent leadership (BL) affects such behaviour.

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Can IFRS adoption mitigate earnings management in an emerging market?

Heliyon

October 2024

Faculty of Business, Department of Accounting and Finance, University of Mediterranean Karpasia Nicosia, TRNC, Mersin, 10, Turkiye.

Article Synopsis
  • * Some studies say IFRS makes reporting better and prevents companies from being sneaky with their earnings, while other studies suggest it gives companies more leeway in certain countries.
  • * In our study of 206 companies in South Africa between 2000 and 2010, we found that IFRS actually helps reduce shady earnings practices, showing it can be beneficial for companies in developing countries.
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Exploring Teacher Awareness of Artificial Intelligence in Education: A Case Study from Northern Cyprus.

Eur J Investig Health Psychol Educ

August 2024

Faculty of Sports Sciences, Near East University, Lefkoşa 99138, Northern Cyprus, Mersin 10, Türkiye.

This study investigates the level of awareness among teachers regarding the use of artificial intelligence (AI) in education, focusing on whether this awareness varies according to socio-demographic characteristics, access to technology, and specific knowledge and beliefs about AI. Conducted in Northern Cyprus during the 2023-2024 academic year, this study employed a survey model with purposive and snowball sampling methods, involving 164 teachers. Teachers at different levels, namely, primary school, secondary school, high school, and university, were included in this study.

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This study introduces the Worst Moth Disruption Strategy (WMFO) to enhance the Moth Fly Optimization (MFO) algorithm, specifically addressing challenges related to population stagnation and low diversity. The WMFO aims to prevent local trapping of moths, fostering improved global search capabilities. Demonstrating a remarkable efficiency of 66.

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This research presents the utilization of an enhanced Sine cosine perturbation with Chaotic perturbation and Mirror imaging strategy-based Salp Swarm Algorithm (SCMSSA), which incorporates three improvement mechanisms, to enhance the convergence accuracy and speed of the optimization algorithm. The study assesses the SCMSSA algorithm's performance against other optimization algorithms using six test functions to show the efficacy of the enhancement strategies. Furthermore, its efficacy in improving Support Vector Regression (SVR) models for CO prediction is assessed.

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The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown its proficiency. However, due to its reliance on the alpha wolf for guiding the position updates of search agents, the risk of being trapped in a local optimal solution is notable. Furthermore, during stagnation, the convergence of other search wolves towards this alpha wolf results in a lack of diversity within the population.

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The COVID-19 crisis has notably impacted global supply chains as it has disrupted manufacturing operations. To recover from the aforementioned disruptions, supply chain digitalization [SCD] is increasingly being acknowledged to help the recovery process. Based on this, scholars have called for additional research on how SCD can enhance supply chain visibility [SCV] and boost supply chain performance [SCP] in turbulent environments.

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Article Synopsis
  • The FOX algorithm is a new metaheuristic inspired by fox behavior but can get stuck in local optima when solving complex problems due to its weak exploitation abilities.
  • This research enhances the FOX algorithm for feature selection using an improved method called FOX-GWO, which combines it with the Grey Wolf Optimizer to strengthen its local search capabilities.
  • The FOX-GWO outperformed the basic FOX algorithm in 83.33% of tested datasets for accuracy, 61.11% in reducing feature dimensionality, and 72.22% for fitness, making it a powerful tool for high-dimensional data analysis and improving predictive model performance.
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This paper introduces DGS-SCSO, a novel optimizer derived from Sand Cat Swarm Optimization (SCSO), aiming to overcome inherent limitations in the original SCSO algorithm. The proposed optimizer integrates Dynamic Pinhole Imaging and Golden Sine Algorithm to mitigate issues like local optima entrapment, premature convergence, and delayed convergence. By leveraging the Dynamic Pinhole Imaging technique, DGS-SCSO enhances the optimizer's global exploration capability, while the Golden Sine Algorithm strategy improves exploitation, facilitating convergence towards optimal solutions.

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This work proposed a new method to optimize the antenna S-parameter using a Golden Sine mechanism-based Honey Badger Algorithm that employs Tent chaos (GST-HBA). The Honey Badger Algorithm (HBA) is a promising optimization method that similar to other metaheuristic algorithms, is prone to premature convergence and lacks diversity in the population. The Honey Badger Algorithm is inspired by the behavior of honey badgers who use their sense of smell and honeyguide birds to move toward the honeycomb.

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Numerous integrals of the fundamental frequency are known as harmonics and can be found in power systems or electrical circuitry systems. Non-linear loads occasionally drain current or contains a varying impedance with each period of the AC voltage are often responsible for power system harmonics. This can result in system overheating, system losses, and equipment or system damage.

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Prostate cancer is the second most commonly occurring cancer in men. Regardless of statistics, screening for prostate cancer is an individual decision and most male patients come for their first examination with an already developed disease, as they are not adequately informed. The study aimed to emphasize the importance of preventive tests for urological diseases in the Republic of Serbia, raise awareness about urinary problems, and present social marketing strategies for prevention.

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Determinants of load capacity factor in South Korea: does structural change matter?

Environ Sci Pollut Res Int

October 2022

Faculty of Economics, Administrative and Social Sciences, Department of Economics, Nisantasi University, Istanbul, Turkey.

By likening biocapacity and ecological footprint, the load capacity factor follows a specified ecological threshold, permitting for an in-depth analysis of ecological damage. It can be seen that as the load capacity factor is reduced, the ecological damage intensifies. Until now, scholars have used carbon dioxide, ecological footprint, nitrogen oxide, sulfur dioxide, and other indices to objectively examine ecological problems.

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Ecological footprint, public-private partnership investment in energy, and financial development in Brazil: a gradual shift causality approach.

Environ Sci Pollut Res Int

February 2022

Faculty of Economic and Administrative Science, Department of Business Administration, Cyprus International University, Nicosia, Northern Cyprus, TR-10, Mersin, Turkey.

The present study assesses the effect of public-private partnerships in energy and financial development on Brazil's ecological footprint and also takes into account the role of renewable energy and economic growth using data spanning from 1983 to 2017. The study utilized several techniques including autoregressive distributive lag (ARDL) and dynamic ordinary least square (DOLS) to examine the relationship between ecological footprint and the determinants, while the gradual shift causality test was utilized to capture the causal linkage between the series in the presence of a single structural break. The outcomes of the Maki co-integration test revealed evidence of a long-run association among the variables of interest.

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Economic performance of Indonesia amidst CO emissions and agriculture: a time series analysis.

Environ Sci Pollut Res Int

September 2021

Department of Management Information Systems, School of Applied Sciences, Cyprus International University, Nicosia, Mersin, Northern Cyprus, TR-10, Turkey.

To minimize the awful situation confronting the entire globe, the global warming danger has raised the intensity of consciousness from all areas of life. Therefore, the research assesses the impact of CO emissions and energy use on economic performance and considers trade openness, urbanization, and agriculture in Indonesia utilizing data covering the period from 1965 to 2019. The current research employed the dynamic ordinary least square (DOLS) and autoregressive distributed lag (ARDL) tests to capture the long-run association between these economic indicators.

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Understanding Covid-19 transmission: The effect of temperature and health behavior on transmission rates.

Infect Dis Health

November 2020

Department of Healthcare Management, University of Mediterranean Karpasia, Sht. Ecvet Yusuf Cad, Nicosia, 99010, North Cyprus, the Republic of Cyprus. Electronic address:

Background: Covid-19 pandemic is an uncharted territory for the world's population. Countries are seeing measures they would have never considered under democratic governance in an attempt to contain case numbers. The role of outside air temperatures have been implicated as a potential factor involved in disease transmission.

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Background & Aims: We investigated the effects of inducing deep remission in patients with early Crohn's disease (CD).

Methods: We collected follow-up data from 122 patients (mean age, 31.2 ± 11.

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Boerhaave syndrome (BS) is a spontaneous esophageal perforation which carries high mortality. Surgical treatment is well established, but the development of interventional endoscopy has proposed new therapies. We expose our experience in a Gastrointestinal and Endoscopy Unit.

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Background And Aims: Anastomotic leakages are severe and often lethal adverse events of surgery for esophageal cancer. The endoscopic treatment is growing up in such indications. The aim was to evaluate the efficacy and describe the strategy of the endoscopic management of anastomotic leakages/fistulas after esophageal oncologic surgery.

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EUS hepaticogastrostomy for bilioenteric anastomotic strictures: a permanent access for repeated ambulatory dilations? Results from a pilot study.

Endosc Int Open

April 2016

Gastroenterology Department. North Hospital, University of Mediterranean, Chemin des Bourrely, 13915 Marseille, France. Hopital Nord - Gastroenterology, Chemin des Bourrely, Marseille, France.

Background And Study Aims: Postsurgical benign bilioenteric anastomotic strictures are a major adverse event of biliary surgery and endoscopic treatment, including endoscopic retrograde cholangiopancreatography (ERCP), is challenging in this setting. We present an innovative approach to treating this complication.

Patients And Methods: Patients underwent endoscopic ultrasound (EUS)-hepaticogastrostomy (HG) to treat nonmalignant biliary obstructions.

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Subcutaneous Ustekinumab Provides Clinical Benefit for Two-Thirds of Patients With Crohn's Disease Refractory to Anti-Tumor Necrosis Factor Agents.

Clin Gastroenterol Hepatol

February 2016

Hepato-Gastroenterology Department, Claude Huriez Hospital, University of Lille 2, Lille, France; Inserm Unit 995, University of Lille 2, Lille, France. Electronic address:

Background & Aims: Ustekinumab, a human monoclonal antibody against the p40 subunit of interleukins-12 and -23, is effective in inducing and maintaining remission in patients with luminal Crohn's disease (CD). We assessed the efficacy and safety of subcutaneous ustekinumab in patients with anti-tumor necrosis factor (anti-TNF) refractory CD.

Methods: We performed a retrospective observational study, collecting data from the Groupe d'Etude Thérapeutique des Affections Inflammatoires du tube Digestif on 122 consecutive patients with active CD refractory to anti-TNF therapy who received at least 1 subcutaneous injection of ustekinumab from March 2011 to December 2014, in 20 tertiary centers in Europe.

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This article provides a critical review of the literature pertaining to self-confidence and advances the argument of the need to separate the construct into its general and specific domains. The rationale is that distinguishing self-confidence into general and specific will increase conceptual parsimony and predictive power of each construct.

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Introduction: The management of post-operative anastomotic leakage and fistulas of the upper GI tract remains challenging. Fully covered stents are used despite a high risk of migration because of a better removability. The goal of our study was to evaluate the effectiveness of this new type of endoscopic stent in this indication.

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