Psychological Fatigue or Satisfaction? The Impact of Online Office App Use on Job Performance: Differentiating Work-Related and Non-Work-Related Contexts by Huichuan Zhang, He Di, Mingzheng Liu, Jiaji An

“…Harman’s single-factor test was utilized to evaluate common method bias. Regression analysis, bootstrap tests, and structural equation modeling (SEM) were used to analyze variable relationships and mediating effects. …”
Get full text

Ways to ensure full verification of victims and their importance in the effective use of insurance funds in Ukraine by Tetiana Blazhynska, Volodymyr Kudin, Andrii Onyshchenko, Oksana Khorvatova, Yuliia Lisovska

“…The study also explores the economic and social impact of ineffective verification, demonstrating how misallocated pension funds contribute to financial instability and reduced quality of life for affected workers. Using a mixed-method approach, the research combines official government data, legislative analysis, and case studies from regional pension offices to evaluate verification accuracy and fraud detection rates. …”
Get full text

برامج علاقات الزبون وأثرها في إسعاد الزبون: دراسة تحليلية لأراء عينة من زبائن شركة زين للأتصالات by حسين علي عبد الرسول, خمائل محسن حمزة

“…The study has used the questionnaire as a basic tool for collecting the data, which was hired to test the hypotheses of the study through the use of the Structural Equation Modeling Method according to the Regression Analysis Manner.The research has reached a set of conclusions and recommendations related to the search variables. …”
Get full text

Regenerating urban historical fabric of Kerman with the emphasize on influential components on Satisfaction (Case study: Arg-Ganjalikhan, Mozafari, Ghaleh-Mahmood, Shora Park) by Mitra Ghorbi, Maryam Naghavi, Hamid Mohammadi

“…The results of structural equation modeling (SEM) show that improvement in the condition of economic, physical and environmental variables, will improve condition of social variables and the sense of satisfaction in the studied neighborhoods. …”
Get full text

Public Administration as an Object of Scientific Research and a Direction of Civil Servants’ Education by A. A. Likhtin

“…The article is devoted to systematizing and updating the research and educational characteristics of public administration. The research method is a problem analysis of the public administration research discipline and the design of the problem of training personnel for the contemporary public service. …”
Get full text

Speech and language therapists’ perceptions of corporate practice in South Africa by Ntandoyenkosi L. Msomi, Suvishka Barath, Andrew J. Ross

“…Objectives: This study aimed to explore South African SALTs’ perceptions of CSALT. Method: A qualitative research approach was employed, grounded in a constructivist paradigm. …”
Get full text

Examining the Inhibiting and Facilitating Factors of Organizational Citizenship Behavior; Case study: Army Unit of Islamic Republic of Iran by Marziyeh Dehghanizadeh, Hadi Soleymani Nameghi

“…The tool for collecting data in this research was standard questionnaires and analysis method used in this research was the structural equation modeling technique.Findings: The findings of the research showed that role ambiguity and subsequent depersonalization are inhibiting factors in service-oriented organizational citizenship behavior. …”
Get full text

Exogenous melatonin modulates physiological responses, phytochemical profiles and essential oil production in grapefruit mint under drought stress by Sara Rezaei, Abdollah Javanmard, Naser Sabaghnia, Mohammad Reza Morshedloo

“…Abstract Currently, the use of anti-stress elicitors such as melatonin, N-acetyl-5-methoxytryptamine, is known as an effective method to reduce the negative impacts of stressful environments. …”
Get full text

Asymmetric Network Based on CNN and Attention Mechanisms for Thyroid Nodule Segmentation by Zhiheng Zhang, Lin Li, Cheng Zhao, Peng Ren, Ran Zhang

“…Experimental results on a public thyroid nodule ultrasound dataset demonstrate that the proposed method significantly outperforms existing models’ overall segmentation performance, achieving a Dice Similarity Coefficient (DSC) of 0.8332 and an Intersection over Union (IOU) of 0.7473 on the test set. …”
Get full text

Analyzing the Impact of Climate Change on Compound Flooding Under Interdecadal Variations in Rainfall and Tide by Jiun-Huei Jang, Tien-Hao Chang, Yen-Mo Wu, Ting-En Liao, Chih-Hung Hsu

“…In this study, a framework was proposed through efficient hydraulic simulations and a consequence-based statistical method using data projected under different general circulation models (GCMs). …”
Get full text

Inclusive Internal Financing, Selective Internal Financing, or Hybrid Financing? A Competitive Low-Carbon Supply Chain Operational and Financing Strategies by Xiaoli Zhang, Lin Zhang, Caiquan Duan

“…Within the framework of an LCSC where two capital-constrained retailers compete, using Stackelberg game theory and the backward induction method, three game-theoretical models are developed under IIF, SIF, and HF. …”
Get full text

RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Structural Health Monitoring requires the continuous assessment of a structure’s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. …”
Get full text

The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector by Kebashnee Moodley, Lavina Sookhdeo

“…Data were collected through a 5-point Likert scale survey distributed to 175 South African e-commerce consumers using convenience sampling, with structural equation modelling (SEM) used for analysis. Results: The study showed mixed results. …”
Get full text

An In Vitro Approach to Prime or Boost Human Antigen-Specific CD8⁺ T Cell Responses: Applications to Vaccine Studies by Hoang Oanh Nguyen, Mariela P. Cabral-Piccin, Victor Appay, Laura Papagno

“…A common issue in studying T cells specific to a vaccine antigen is their low frequency in circulation, which can limit their ex vivo analysis. Moreover, the use of human cell-based models is crucial for studying and optimizing the induction of T cell responses to design effective vaccines. …”
Get full text

Reliability of nurse-administered infant hearing screening using otoacoustic emissions by Mukovhe Phanguphangu, Andrew J. Ross

“…Thus, there is a critical need to explore other models of providing early detection such as nurse-administered INHS. …”
Get full text

Characterizing the Socialization of STEM Graduate Students Using the Context of the McNair Scholars Program by Kanembe Shanachilubwa, Catherine Berdanier

“…Schema Theory and Bourdieu’s theory of social capital provided conceptual models to understand how and why these students developed strategies for success. …”
Get full text

Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning by Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar

“…Evaluations cover a range of Reynolds numbers from 200 to 5000 and turbulence intensities of 5% and 20%, confirming the robustness and effectiveness of the method. A comparative analysis with other texture-based techniques, namely Local Ternary Pattern (LTP) and Gray Level Co-occurrence Matrix (GLCM), further highlights the advantages of the proposed method. …”
Get full text

Hyperspectral Signatures for Detecting the Concrete Hydration Process Using Neural Networks by Shiming Li, Alfred Strauss, Damjan Grba, Maximilian Granzner, Benjamin Täubling-Fruleux, Thomas Zimmermann

“…For each hydration treatment, three different models were developed to achieve better prediction performance for hyperspectral imaging analysis. …”
Get full text

A decentralised federated learning scheme for heterogeneous devices in cognitive IoT by Huanhuan Ge, Xingtao Yang, Jinlong Wang, Zhihan Lyu

“…Cognitive Internet of Things (IoT) technologies typically rely on substantial data collected from edge devices for data analysis and decision-making. However this reliance often leads to the inadvertent exposure of private data from smart edge devices. …”
Get full text

Evaluation of Machine Learning Algorithms for NB-IoT Module Energy Consumption Estimation Based on Radio Channel Quality by Dusan Bortnik, Vladimir Nikic, Srdjan Sobot, Dejan Vukobratovic, Ivan Mezei, Milan Lukic

“…Our best models achieved up to 93.8% of fit with measured values, with memory footprints below 100 KB, some as low as 3 KB. …”
Get full text