Multiband THz MIMO antenna with regression machine learning techniques for isolation prediction in IoT applications by Md Ashraful Haque, Kamal Hossain Nahin, Jamal Hossain Nirob, Md. Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Ahmed A. Abd El-Latif, Abdelhamied A. Ateya

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Mining online hotel reviews using big data and machine learning: An empirical study from an emerging country by Hanh Thi My Le, Thuy-An Phan-Thi, Binh T. Nguyen, Thang Quyet Nguyen

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Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks by Jamil de Araujo Farhat, Jean Michel de Souza Sant'Ana, Joao Luiz Rebelatto, Nurul Huda Mahmood, Gianni Pasolini, Richard Demo Souza

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Nutritional interventions for adolescents using information and communication technologies (ICTs): A systematic review. by Giselle Rhaisa do Amaral E Melo, Fernanda de Carvalho Silva Vargas, Carolina Martins Dos Santos Chagas, Natacha Toral

“…Interventional strategies included computer games, programs, text messages, and interactive CD-ROMs. …”
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Strategic Traffic Management in Mixed Traffic Road Networks: A Methodological Approach Integrating Game Theory, Bilevel Optimization, and C-ITS by Areti Kotsi, Ioannis Politis, Evangelos Mitsakis

“…The methodology includes defining a model to achieve optimal mixed equilibria, designing an algorithm for multiclass traffic assignment, formulating strategic games to analyze player interactions, and establishing key performance indicators to evaluate network efficiency and effectiveness. The framework is applied to a real-world road network, validating its practicality and effectiveness through computational results. …”
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Artificial intelligence tool development: what clinicians need to know? by Boon-How Chew, Kee Yuan Ngiam

“…Artificial intelligence (AI) today primarily involves computers or machines designed to simulate aspects of human intelligence using mathematically designed neural networks, although early AI systems relied on a variety of non-neural network techniques. …”
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The experiences, challenges, and acceptance of e-learning as a tool for teaching during the COVID-19 pandemic among university medical staff. by Marwa Mohamed Zalat, Mona Sami Hamed, Sarah Abdelhalim Bolbol

“…The highest barriers to e-learning were insufficient/ unstable internet connectivity (40%), inadequate computer labs (36%), lack of computers/ laptops (32%), and technical problems (32%). …”
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The influence of media on the sleep quality in adolescents by Duygu Akçay, Bülent Devrim Akçay

“… This study was conducted to evaluate the influence of media devices on sleep quality in adolescents. …”
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Bangla Character Detection Using Enhanced YOLOv11 Models: A Deep Learning Approach by Mahbuba Aktar, Nur Islam, Chaoyu Yang

“…Recognising the Bangla alphabet remains a significant challenge within the fields of computational linguistics and artificial intelligence, primarily due to the script’s inherent structural complexity and wide variability in writing styles. …”
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Pedestrian dynamics modeling and social force analysis based on object detection by Fangyan Yang, Rong Liu, Daoyu Zhu

“…AEETS dynamically balances global exploration with local refinement using entropy-based metrics and feedback-driven adjustments, allowing the system to adaptively optimize complex loss landscapes with greater precision in pedestrian scenarios.ResultsTogether, these components create a robust and adaptive framework that overcomes traditional limitations by efficiently handling large-scale pedestrian variability and densely populated environments. Experimental evaluations across multiple real-world pedestrian datasets demonstrate the superiority of our physics-inspired approach, achieving state-of-the-art performance in pedestrian detection and movement analysis.DiscussionThis work highlights the transformative potential of interdisciplinary strategies in advancing pedestrian-aware object detection, bridging computational physics with deep learning methodologies to enhance urban mobility and crowd safety.…”
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Quantification of Cerenkov Luminescence Imaging (CLI) Comparable With 3-D PET Standard Measurements by Frezghi Habte PhD, Arutselvan Natarajan PhD, David S. Paik PhD, Sanjiv Sam Gambhir MD, PhD

“…We performed 2-D CLI and MicroPET/CT (Combined small animal PET and Computed Tomography (CT)) imaging of the phantom and in vivo mouse model after administration of 89 Zr tracer. …”
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Privacy-Preserving Poisoning-Resistant Blockchain-Based Federated Learning for Data Sharing in the Internet of Medical Things by Xudong Zhu, Hui Li

“…Comprehensive evaluations across multiple datasets validate the framework’s operational efficiency and defensive capabilities.…”
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A method for comparing MRI sequences of the knee for segmentation based on morphological features. by Yunsub Jung, Morten Bilde Simonsen, Michael Skipper Andersen

“…The method we present quantitatively evaluates the edge characteristics, and experimental results show that our method shows consistent results according to the edge. …”
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Association between common mental disorders and the severity of dysmenorrhea among female medical students at the University of Ibadan, Nigeria. by Yusuf Olatunji Bello, Oluwabunmi Victoria Adeyeye, Mary Mofiyinfoluwa Adeyeye, Olajumoke Aishat Oladosu, Oluwagbemisola Motunrayo Oderemi, Nasirat Ibukun Akinlade, Millicent Magdalene Maduka, Gloria Onyinyechi Madu, Victor Makanjuola, Jibril Abdulmalik, Imran Oludare Morhason-Bello

“…The Quantile-based G-computation (QGC) and Bayesian Kernel Machine Regression (BKMR) were used to evaluate both the relative and collective influence of the four common mental disorder scores on the severity of dysmenorrhea. …”
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Spray volume distribution pattern and droplet size spectrum from ceramic nozzles by Mateus P. Massola, Vandoir Holtz, Marcos P. de O. Martins, Anderson da S. Umbelino, Elton F. dos Reis

“…The objective of this study was to evaluate the average spray volume distribution and droplet size spectrum from ceramic nozzles. …”
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Addressing Out‐of‐Sample Issues in Multi‐Layer Convolutional Neural‐Network Parameterization of Mesoscale Eddies Applied Near Coastlines by Cheng Zhang, Pavel Perezhogin, Alistair Adcroft, Laure Zanna

“…Further online evaluations suggest that replicate padding consistently reduces boundary artifacts across various retrained CNN models. …”
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Method of calculating the pressure on the soil of wheeled tractors by V. Yu. Revenko, A. N. Nazarov, V. I. Skorlyakov

“…The article provides a computational method for evaluating one of the most important functional indicators of tractors, namely, the level of impact of its wheels on the soil, using limited initial information: technical characteristics and operational documentation of the manufacturer. …”
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Assessment of peri-implant tissues in posterior implants placed using flapless approach: A clinicoradiographic study by Pranjali Vijaykumar Bawankar, Abhay Pandurang Kolte, Rajashri Abhay Kolte

“…The clinical parameters, including plaque index (PI), gingival index, modified sulcus bleeding index, probing depth, and soft-tissue assessment using the Testori esthetic score (TS), were evaluated at baseline, 3, 6, 9, and 12 months. Hard-tissue parameters, such as buccal bone thickness (BBT), crestal bone height (CBH), and ridge width, were evaluated radiographically with cone-beam computed tomography at baseline and 12 months posttherapy. …”
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Road Traffic Gesture Autonomous Integrity Monitoring Using Fuzzy Logic by Kwame Owusu Ampadu, Michael Huebner

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Redefining OSINT Software Architecture With System-Centric Architecture Design: A Framework Shaped by QAW, ADD, and ATAM by Gokhan Yurtalan, Serdar Arslan

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