Impact of internal identity asymmetry on employee's behaviors and feelings: A mediating role of psychological distress DOI Creative Commons
Rida Batool,

Qingfeng Tian,

Erhua Zhou

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31438 - e31438

Published: May 1, 2024

Individuals may experience internal identity asymmetry when they feel misidentified and believe their colleagues do not recognize work-related identities. This research examines the impact of on behavior emotional outcomes at workplace in Pakistan. Data was collected through a survey received responses from 393 participants different levels management various sectors A partial least square-based structural equation modeling technique has been used to validate proposed model develop hypotheses. The findings indicate that psychological distress positive indirect effect both outcomes, such as individual work performance well-being during personal professional base asymmetries time. result indicates employees face while experiencing asymmetries, which decrease employees. Findings highlight importance coping strategies improving Managers can be supportive maintaining environment where individuals have more accurate self-perception better understanding colleagues' perspectives. This, turn, enables them adopt appropriate enhance well-being.

Language: Английский

A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models DOI Creative Commons

Fahmida Kousar,

Arshiya Sultana, Marwan Ali Albahar

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 15, 2025

This study delves into the parenting cognition perspectives on COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It aims to correlate these with sociodemographic factors employ advanced machine-learning techniques for comprehensive analysis. Data collection involved a semi-structured questionnaire covering parental knowledge attitude transmission, measures, government satisfaction. The analysis utilised Generalised Linear Regression Model (GLM), K-Nearest Neighbours (KNN), Support Vector Machine (SVM), Random Forest (RF), Naive Bayes (NB), AdaBoost (AB). revealed an average score of 18.02 ± 2.9, 43.2 52.9% parents demonstrating excellent good knowledge, respectively. News channels (85%) emerged as primary information source. Commonly reported symptoms included cough (96.47%) fever (95.6%). GLM indicated lower awareness rural areas (β = -0.137, p < 0.001), scores males compared females -0.64, 0.025), correlation between socioeconomic status -0.048, 0.009). SVM classifier achieved highest performance (66.70%) classification tasks. offers valuable insights attitudes towards highlighting symptom recognition, awareness, preventive practices. Correlating underscores need tailored educational initiatives, particularly areas, addressing gender disparities. efficacy analytics, exemplified by classifier, potential informed decision-making public health communication targeted interventions, ultimately empowering safeguard their children's well-being amidst ongoing pandemic.

Language: Английский

Citations

2
The relationship between physical exercise and psychological capital in college students: the mediating role of perceived social support and self-control DOI Creative Commons
Lin Yan,

Mengjiao He,

Weiqing Zhou

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 12, 2025

Language: Английский

Citations

2
A comprehensive study on unraveling the advances of immersive technologies (VR/AR/MR/XR) in the healthcare sector during the COVID-19: Challenges and solutions DOI Creative Commons
Habib Ullah Khan,

Yasir Ali,

Faheemullah Khan

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35037 - e35037

Published: July 23, 2024

The current COVID-19 pandemic has affected almost every aspect of life but its impact on the healthcare landscape is conspicuously adverse. However, digital technologies played a significant contribution in coping with challenges spawned by this pandemic. In list applied technologies, role immersive battling notice-worthy. Immersive consisting virtual reality (VR), augmented (AR), mixed (MR), extended (XR), metaverse, gamification, etc. have shown enormous market growth within system, particularly emergence pandemics. These supplemented interactivity, experience, 3D modeling, touching sensory elements, simulation, and feedback mechanisms to tackle disease systems. Keeping view applicability significance technological advancement, major aim study identify highlight concerning handling setup. domain for different purposes such as medical education, training, proctoring, online surgeries, stress management, social distancing, physical fitness, drug manufacturing designing, cognitive rehabilitation highlighted. A comprehensive in-depth analysis collected studies been performed understand research work future directions. state-of-the-artwork presented discuss various issues involving adoption area. Furthermore, solutions these emerging provided based an extensive literature study. results show that considerable potential provide massive support stakeholders system during situation

Language: Английский

Citations

8
Enhanced Sentiment Analysis and Topic Modeling during the Pandemic using Automated Latent Dirichlet Allocation DOI Creative Commons
Amreen Batool,

Yung-Cheol Byun

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 81206 - 81220

Published: Jan. 1, 2024

Language: Английский

Citations

6
Global impact of COVID-19 on food safety and environmental sustainability: Pathways to face the pandemic crisis DOI Creative Commons

Muhammad Ehsan Maqbool,

Ahmad Farhan,

Muhammad Azam Qamar

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35154 - e35154

Published: July 24, 2024

The COVID-19 pandemic poses ongoing challenges to the sustainability of various socioeconomic sectors, including agriculture, food supply chain, business, and environmental sustainability. This study employs data obtained from World Health Organization (WHO), Food Agriculture (FAO), as well scientific technical research publications, evaluate impacts on agriculture security. article seeks highlight profound influence demand food, overall safety food. also explores several pathways by which can be transmitted in these areas technologies employed for its detection. post-pandemic ramifications are substantial since they could decrease agricultural output due limitations migration, a downturn international trade, less buying capacity, disturbances production processing. Therefore, based this thorough investigation, recommendations issued mitigating controlling pandemic's effects.

Language: Английский

Citations

6
Federated learning-guided intrusion detection and neural key exchange for safeguarding patient data on the internet of medical things DOI

Chongzhou Zhong,

Arindam Sarkar, Sarbajit Manna

et al.

International Journal of Machine Learning and Cybernetics, Journal Year: 2024, Volume and Issue: 15(12), P. 5635 - 5665

Published: July 1, 2024

Language: Английский

Citations

4
Modeling the dynamics of COVID-19 Epidemic with a reaction-diffusion framework: a case study from Thailand DOI
Rahat Zarin, Usa Wannasingha Humphries

The European Physical Journal Plus, Journal Year: 2024, Volume and Issue: 139(12)

Published: Dec. 8, 2024

Language: Английский

Citations

4
A Few-Shot Learning Approach for Covid-19 Diagnosis Using Quasi-Configured Topological Spaces DOI Open Access
Hui Liu, Chunjie Wang, Xin Jiang

et al.

Journal of Artificial Intelligence and Soft Computing Research, Journal Year: 2023, Volume and Issue: 14(1), P. 77 - 95

Published: Dec. 1, 2023

Abstract Accurate and efficient COVID-19 diagnosis is crucial in clinical settings. However, the limited availability of labeled data poses a challenge for traditional machine learning algorithms. To address this issue, we propose Turning Point (TP), few-shot (FSL) approach that leverages high-level turning point mappings to build sophisticated representations across previously data. Unlike existing FSL models, TP learns using quasi-configured topological spaces efficiently combines outputs diverse learners. We evaluated TPFSL three datasets compared it with seven different benchmarks. Results show outperformed top-performing benchmark models both one-shot five-shot tasks, an average improvement 4.50% 4.43%, respectively. Additionally, significantly ProtoNet by 12.966% 11.033% classification problems all datasets. Ablation experiments were also conducted analyze impact variables such as density, network topology, distance measure, placement. Overall, has potential improve accuracy speed diagnoses settings can be valuable tool medical professionals.

Language: Английский

Citations

10
Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises DOI Creative Commons
Shuzhen Ma

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 12, 2025

Badminton, a dynamic and fast-paced racket sport, demands unique combination of physical, technical, cognitive abilities from its players. This study investigates the impact tailored core strength training program on specialized performance elite badminton athletes, with aim unlocking their full potential improving overall well-being. The research involved cohort national-level players who underwent 12-week intervention. was designed using principles progressive overload targeted development stability, power, explosiveness—essential attributes for high-level performance. Throughout study, athletes' progress evaluated through comprehensive assessment battery, including measures shot velocity, agility, jump height, sport-specific technical proficiency. Additionally, researchers examined regimen mental health resilience, validated psychological questionnaires. results show that led to significant improvements in explosive agility—key determinants success. Notably, intervention also had positive effect participants' well-being, increased levels self-confidence, focus, emotional regulation reported. utilized an artificial neural network (ANN) investigate relationships between indicators (agility, well-being) predict optimize conditions enhancing athletic ANN model demonstrated ability capture complex, nonlinear provide accurate predictions. These suggest integrating core-focused into preparation athletes can be crucial strategy performance, reducing injury risk, promoting holistic shows importance tailored, approaches provides valuable insights coaches, sports scientists, healthcare professionals working high-performance

Language: Английский

Citations

0
A comparative analysis of patient satisfaction with various methods of digital smile design and simulation DOI Creative Commons

Mahsa Babaei,

Mehrdad Kazemian,

Mehrdad Barekatain

et al.

Dental Research Journal, Journal Year: 2025, Volume and Issue: 22(1)

Published: March 1, 2025

Digital smile design (DSD) is a technique that utilizes the scientific methods and advanced software to patients' smiles, presenting visualized map directly patient. However, patients may not always find proposed satisfactory or feel sense of alignment with it. To address this concern, dentists have been integrating tooth shape overall facial other parameters develop personalized plan for each This study employed descriptive-analytical, cross-sectional research conducted during summer fall 2022. sought evaluate patient satisfaction levels associated three distinct DSD techniques: Visagism, Proportional, Stepwise Comprehensive. A sample 20 participants, evenly split between males females, was selected, all whom were seeking treatment did present skeletal, jaw, facial, periodontal complications. Interviews analyze personality temperament, maps created utilizing Comprehensive, Proportional methods. Subsequently, evaluated designs produced by completed questionnaire. Nonparametric statistical tests, namely Kruskal-Wallis test post hoc Bonferroni used examine hypotheses at significance level 0.05. The results indicated high methods, no statistically significant differences observed among them. These suggest approaches effectively met expectations preferences. outcomes practical implications dental professionals engaged in DSD, potentially enhancing experiences outcomes. Further domain explore additional factors could influence refine process.

Language: Английский

Citations

0