Decision-making model in digital commerce: electronic trust-based purchasing intention through online food delivery applications (OFDAs) by Muhammad Asif Zaheer, Tanveer Muhammad Anwar, Laszlo Barna Iantovics, Maryam Manzoor, Muhammad Ali Raza, Zoia Khan

“…Design/methodology/approach – Data from 493 food consumers collected from Federal Capital Territory (FCT) Pakistan, who were regular users of OFDAs. …”
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The application of near‐infrared spectroscopy to predict composition, gross energy yield, and methane production of natural forages on the Qinghai–Tibet Plateau by Runze Wang, Huakun Zhou, Yayu Huang, Allan Degen, Xueyan Du, Muhammad Irfan Malik, Rongzhen Zhong, Binqiang Bai, Lizhuang Hao

“…A total of 301 natural forage samples were collected, and their spectral data were acquired using NIRS. Conventional methods were used to measure the forage composition, and predictive models were developed based on the spectral data. …”
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Application of the Hill-Wheeler Formula in Statistical Models of Nuclear Fission: A Statistical–Mechanical Approach Based on Similarities with Semiconductor Physics by Hirokazu Maruyama

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Deep learning in-depth analysis of crystal graph convolutional neural networks: A new era in materials discovery and its applications by Qureshi Nilam, Bang Jinhong, Doh Jaehyeok

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The Possibilities of Legal Leveling of Political, Organizational and Managerial Risks of Using Artificial Intelligence by Alexander S. Kiselev

“…The absence of human morality in artificial intelligence is emphasized, leading to ethical concerns regarding AI application, data privacy issues, the creation and spread of misinformation (for example, deepfakes), AI-driven discrimination, and unequal access to AI technologies. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…Initially, the presented MMDoWA-ARDL model applies data pre-processing using Z-score normalization to transform input data into a valid format. …”
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Application of active learning technique in recognition of diagenetic facies of Mesozoic buried-hill clastic rock reservoirs in Chengdao-Zhuanghai area by ZHANG Pengfei, QIN Feng, WU Songbai, SUN Yaoting, LIU Ruijuan, ZHANG Liqiang, YAN Yiming, MENG Yuan

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Impact of INSAT‐3D land surface temperature assimilation via simplified extended Kalman filter‐based land data assimilation system on forecasting of surface fields over India by Abhishek Lodh, Ashish Routray, Devajyoti Dutta, Vivek Singh, John. P. George

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The effects of the COVID-19 pandemic on patient application to outpatient plastic surgery clinics and management of treatments: a retrospective comparative study by Seçkin Aydın Savaş

“…Aim: The aim of this study was to show the differences in patient profile and treatment selections in outpatient plastic surgery clinic, by comparing the pre-pandemic and the pandemic period for one-year processes.Methods: The patients who applied to outpatient clinic of plastic surgery during the pre-pandemic and pandemic periods were included in the study. The data related to demographic characteristics, reasons for application of outpatient plastic surgery clinic, pre-diagnosis and treatment modalities outpatient or inpatient - were collected retrospectively.Results: It was observed that there was a significant numerical difference in the number of applications of the patients between the pre-pandemic and the pandemic periods. …”
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Graph Neural Network Learning on the Pediatric Structural Connectome by Anand Srinivasan, Rajikha Raja, John O. Glass, Melissa M. Hudson, Noah D. Sabin, Kevin R. Krull, Wilburn E. Reddick

“…While graph neural networks (GNNs), specifically graph convolutional networks (GCNs), have gained popularity lately for their effectiveness in learning on graph data, achieving strong performance in adult sex classification tasks, their application to pediatric populations remains unexplored. …”
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An Early Detection of Asthma Using BOMLA Detector by Md. Abdul Awal, Md. Shahadat Hossain, Kumar Debjit, Nafiz Ahmed, Rajan Dev Nath, G. M. Monsur Habib, Md. Salauddin Khan, Md. Akhtarul Islam, M. A. Parvez Mahmud

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A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics by Nayibe Chio, Eduardo Quiles-Cucarella

“…Computational tools such as the biblioshiny application for R-Bibliometrix and VOSViewer are employed to generate data on years, sources, authors, affiliation, country, documents, co-author, co-citation, and co-occurrence. …”
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Consistency of Restricted Maximum Likelihood Estimators in High-Dimensional Kernel Linear Mixed-Effects Models with Applications in Estimating Genetic Heritability by Xiaoxi Shen, Qing Lu

“…Our results provide rigorous justification for the consistency of REML estimators in high-dimensional kernel linear mixed models and offer insights into the application of estimating genetic heritability. Finally, we apply the kernel linear mixed models to estimate genetic heritability in a real-world data application.…”
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Possible applications of gliptins (dipeptidyl peptidase-4 inhibitors) in patients with type 2 diabetes mellitus on the various modes of insulin therapy by Gagik Radikovich Galstyan, Svetlana Viktorovna Sergeeva

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A reversible and robust hybrid image steganography framework using radon transform and integer lifting wavelet transform by B. M. El-den, Walid Raslan

“…This method holds great promise for secure data hiding in applications such as secure communication, medical imaging, and digital watermarking, where data integrity and confidentiality are critical.…”
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Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013–2024) by Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

“…This work discusses challenges in using deep learning (DL) models in healthcare, including data scarcity and ethical considerations. It also, proposes three main recommendations: dataset standardization for ethical data management, clear governance models for ethical practices, and the use of Multimodal Large Language Models (MLLMs) to address explainability issues.…”
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Application of global navigation satellite systems and synthetic aperture radar technology in environmental and earth surface stability research: a reviews by Rokas Bražiūnas, Jūratė Sužiedelytė Visockienė

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Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application by Jinyoung Kim, Min-Hee Kim, Dong-Jun Lim, Hankyeol Lee, Jae Jun Lee, Hyuk-Sang Kwon, Mee Kyoung Kim, Ki-Ho Song, Tae-Jung Kim, So Lyung Jung, Yong Oh Lee, Ki-Hyun Baek

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SELECTIVE ANDROGEN RECEPTOR MODULATORS (SARM) – A NEW TEMPTATION IN SPORTS. TYPES, MODE OF ACTION AND SIDE EFFECTS OF THEIR APPLICATION: REVIEW by Veselin Vasilev, Nikolay Boyadjiev

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Weighted IndetermSoft Set for Prioritized Decision-Making with Indeterminacy and Its Application to Green Competitiveness Evaluation in Equipment Manufacturing Enterprises by Wei Wei, Pingting Peng

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