Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning by Yanis Colléaux, Cédric Willaume, Bijan Mohandes, Jean-Christophe Nebel, Farzana Rahman

Get full text

The potential of generative AI with prostate-specific membrane antigen (PSMA) PET/CT: challenges and future directions by Islam Md Zobaer, Spiro Ergi, Yap Pew-Thian, Gorin Michael A., Rowe Steven P.

“…In this review article, we delve into the potential role of generative AI in enhancing the robustness and widespread utilization of PSMA-PET imaging and image analysis, drawing insights from existing literature while also exploring current limitations and future directions in this domain.…”
Get full text

Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study by Shenjuan Lv, Ning Sun, Chunhui Hao, Junqing Li, Yun Li

“…Method The study analyzed the efficacy of eight ML models, including XGBoost, Random Forest, and Neural Networks, using data from two distinct hospital cohorts. …”
Get full text

A Blockchain-based Land Title Management System for Bangladesh by Kazi Masudul Alam, J.M. Ashfiqur Rahman, Anisha Tasnim, Aysha Akther

“…Our experimental setup uses local and live Ethereum test networks to demonstrate the efficacy of the proposed system. …”
Get full text

A novel knowledge distillation framework for enhancing small object detection in blurry environments with unmanned aerial vehicle-assisted images by Sayed Jobaer, Xue-song Tang, Yihong Zhang, Gaojian Li, Foysal Ahmed

“…Abstract Deep learning-based object detectors excel on mobile devices but often struggle with blurry images that are common in real-world scenarios, like unmanned aerial vehicle (UAV)-assisted images. Current models are designed for sharp images, leading to potential detection failures in blurry images. …”
Get full text

Artificial intelligence in the diagnosis of endocrine disorders: A focus on diabetes and thyroid diseases by Kimi Milić Marko, Sinanović Šćepan, Prodović Tanja, Ilanković Tanja

“…This paper provides an overview of current technological solutions, including an analysis of the accuracy, sensitivity, and specificity of various AI algorithms, as well as their efficiency compared to traditional diagnostic methods. …”
Get full text

Attention-Based Dual-Knowledge Distillation for Alzheimer’s Disease Stage Detection Using MRI Scans by Chandita Barman, Sudhanshu Singh, Manob Jyoti Saikia, Shovan Barma

“…This study presents an efficient attention-guided dual-knowledge distillation (D-KD) framework for classifying Alzheimer’s disease (AD) stages using magnetic resonance imaging (MRI) scans based on detection of the subtle anatomical differences. Current challenges involve identifying precise discriminating features in low computational complexity without compromising classification accuracy. …”
Get full text

Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

“…In this work, a novel approach grounded in a gap-based burst analysis is presented and analyzed. Such approaches have been successfully implemented, e.g., in data communication systems and data networks. …”
Get full text

Ferroptosis: a novel pharmacological mechanism against multiple myeloma by Jingbo Shi, Yitong Lu, Wenjian Wei, Guodong Ma, Changnian Li, Lulu Li, Yaru Wang, Yan Wang, Ruirong Xu, Siyuan Cui

“…It aims to provide novel insights and strategies for MM research and clinical therapy.MethodsWe systematically retrieved data from PubMed, Web of Science, ScienceDirect, SciFinder, Scopus, and the China National Knowledge Infrastructure (CNKI) spanning database inception to March 2025, followed by taxonomic integrative analysis of NPs’ and antitumor compounds’ echanistic classifications.ResultsNPs and antitumor compounds exert anti-MM effects via ferroptosis modulation, mechanistically mediated through: 1) lipid metabolism reprogramming; 2) ferritinophagy-driven iron homeostasis regulation; 3) Reactive oxygen species (ROS)-mediated oxidative stress potentiation; 4) autophagic activation; 5) Genes and proteins regulation.ConclusionNPs and antitumor compounds demonstrate therapeutic potential against MM through multi-dimensional ferroptosis modulation, yet clinical translation faces two critical hurdles: 1) predominant focus on single-target mechanisms lacking systems pharmacology-level network analysis; 2) overreliance on in vitro models with insufficient clinical validation. …”
Get full text

Harmonized Datasets of microbiological parameters from a French national-scale soil monitoring survey by Aurélien Cottin, Samuel Dequiedt, Christophe Djemiel, Nicolas Chemidlin Prévost-Bouré, Julie Tripied, Mélanie Lelièvre, Lucie Terreau, Tiffanie Régnier, Battle Karimi, Claudy Jolivet, Antonio Bispo, Nicolas Saby, Pierre-Alain Maron, Lionel Ranjard, Sébastien Terrat

“…Abstract Microbiological datasets and associated environmental parameters from the French soil quality monitoring network (RMQS) offer an opportunity for long-term and large-scale soil quality monitoring. …”
Get full text

A Sociological study of the Relationship between Smartphone Addiction and Phubbing Case Study18-29 Year Old Females of Ramhormoz City by Ali Boudaghi, Ali Hossein Hosseinzadeh, Sayedeh Sara Mousavi Moghadam

“…The statistical population of the current research includes all women aged 18 to 29 in Ramhormoz city. …”
Get full text

Contextual determinants influencing the implementation of fall prevention in the community: a scoping review by M. C. van Scherpenseel, S. J. te Velde, C. Veenhof, C. Veenhof, M. H. Emmelot-Vonk, J. A. Barten, J. A. Barten

“…Directed qualitative content analysis of the included studies yielded determinants within 35 unique constructs operating as barriers and/or facilitators. …”
Get full text

Hydrological connectivity: a review and emerging strategies for integrating measurement, modeling, and management by Dipankar Dwivedi, Ronald E. Poeppl, Ellen Wohl

“…., dye tracing), indirect measurements (e.g., runoff analysis), and remote sensing techniques (e.g., InSAR) often struggle to capture the complexity of catchment-scale interactions. …”
Get full text

Environmental Risk Mitigation via Deep Learning Modeling of Compressive Strength in Green Concrete Incorporating Incinerator Ash by Amin Amraee, Seyed Azim Hosseini, Farshid Farokhizadeh, Mohammad Hassan Haeri

“…A database for deep learning modeling was created using Convolutional Neural Networks (CNNs) and the Multi-Verse Optimizer (MVO) algorithm. …”
Get full text

Antimicrobial Resistance Surveillance in Post-Soviet Countries: A Systematic Review by Dariga Zhazykhbayeva, Dinagul Bayesheva, Zhanar Kosherova, Yuliya Semenova

“…Conclusions: This review is crucial for understanding the current efforts and improving AMR surveillance in former Soviet countries. …”
Get full text

Fully automated workflow for designing patient-specific orthopaedic implants: Application to total knee arthroplasty. by Aziliz Guezou-Philippe, Arnaud Clavé, Ehouarn Maguet, Ludivine Maintier, Charles Garraud, Jean-Rassaire Fouefack, Valérie Burdin, Eric Stindel, Guillaume Dardenne

“…Methods The proposed pipeline first uses artificial neural networks to segment the femur and tibia proximal and distal extremities. …”
Get full text

A Systematic Review of Methodologies for Assessing the Impact of Human and Organizational Factors on Safety Barrier Performance in Process Industries by Alireza Azarmehri, Ali Karimi, Omran Ahmadi

“…The integration of fuzzy logic and Bayesian networks is proposed to enhance evaluation processes. …”
Get full text

Addressing false information through local capacity building in community-based disaster risk management by Jefferson M. Cuadra, Vincent N. Cotoron

“…The current response to misinformation in disaster situations includes digital literacy and media literacy education to help individuals assess news sources and verify information. …”
Get full text

Making predictions for overhead power lines applying predictive analytics by Yu. N. Kondrashova, A. M. Tretyakovͬ, A. V. Shalimov

“…In the future, similar forecasts can be performed for various types of electrical equipment in the conditions of urban and industrial networks for future planning of budgetary funds allocated for additional diagnostics, replacement and preventive maintenance as of the current moment, which will prevent the scale of accidents, reduce their number, which will lead to increased reliability of the power supply system of industrial and urban consumers.…”
Get full text

Advanced technologies of soil moisture monitoring in precision agriculture: A Review by Xiaomo Zhang, Gary Feng, Xin Sun

“…Our analysis not only showcases technological advancements but also identifies current research gaps, proposing the integration of these technologies to enhance soil moisture management and support sustainable, high-yield agriculture. …”
Get full text