Applications of machine learning in potentially toxic elemental contamination in soils: A review by Yan Li, Bao Xiang, Tianyang Wang, Yinhai He, Xiaoyang Liu, Yancheng Li, Shichang Ren, Erdan Wang, Guanlin Guo

“…Traditional investigational methods are often inadequate for large-scale assessments because they are time-consuming, costly, and have a limited accuracy. Machine learning (ML) techniques have emerged as promising tools in environmental studies because of their superiority in processing high-dimensional and unstructured data. …”
Get full text

Determinants of Parental Attitudes towards Children’s Vaccination in Lithuania: An Online Survey by Kamilė Čeponytė, Eglė Narkevičiūtė, Aušra Beržanskytė, Sigita Burokienė

“…The formation of parents‘ attitudes towards children‘s vaccination is a complex process that is determined by parents‘ attitudes towards the health care system, lack of trust in doctors, and gaps in communication about the benefits and risks of vaccination. …”
Get full text

Universal validity of the second law of information thermodynamics by Shintaro Minagawa, M. Hamed Mohammady, Kenta Sakai, Kohtaro Kato, Francesco Buscemi

“…Abstract Adiabatic measurements, followed by feedback and erasure protocols, have often been considered as a model to embody Maxwell’s Demon paradox and to study the interplay between thermodynamics and information processing. Such studies have led to the conclusion, now widely accepted in the community, that Maxwell’s Demon and the second law of thermodynamics can peacefully coexist because any gain provided by the demon must be offset by the cost of performing the measurement and resetting the demon’s memory to its initial state. …”
Get full text

LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

“…Furthermore, we implement a Learning-based Structure-Aware Pruning (LSAP) method to avoid the high computational cost associated with top-k selection algorithms. …”
Get full text

Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures by Saira Baharuddin, Cédric M. John

“…Abstract Core images provide a high‐resolution data set of the textures and fabrics of sedimentary rocks, but their availability is often limited by cost and/or poor core recovery. An alternative solution is to utilize advanced high‐resolution micro‐resistivity images acquired through wireline logging, such as the Formation MicroScanner (FMS). …”
Get full text

Progress and Trends in Forage Cactus Silage Research: A Bibliometric Perspective by Stéfani A. Santos, Hortência E. P. Santana, Meirielly S. Jesus, Iran Alves Torquato, Joana Santos, Preciosa Pires, Denise Santos Ruzene, Daniel Pereira Silva

“…Due to its resistance to drought, forage cactus has become an important least-cost ingredient for formulating balanced rations for ruminants during times of scarcity. …”
Get full text

Identifying the top 10 research priorities for the school food system in the UK: a priority setting exercise by Jayne V Woodside, Michelle C McKinley, Désirée Schliemann, Suzanne Spence, Niamh O’Kane, Cheng Choo Chiang, Dilara Olgacher

“…There is a need to understand evidence gaps in school food research to allow the development, implementation and evaluation of policies and interventions to support children’s healthy eating at school. …”
Get full text

Simulation-Based Studies on FAGeI₃-Based Lead (Pb²⁺)-Free Perovskite Solar Cells by Saood Ali, Khursheed Ahmad, Rais Ahmad Khan, Praveen Kumar

“…The simulation studies via SCAPS may benefit researchers to save their energy and high cost for the optimization process in the laboratories. …”
Get full text

Parkinson’s Disease Management via Wearable Sensors: A Systematic Review by Huma Mughal, Abdul Rehman Javed, Muhammad Rizwan, Ahmad S. Almadhor, Natalia Kryvinska

“…Sensor devices have been promising to overcome these challenges to a certain degree because of the low cost and accuracy in measurement, yielding precise conclusive results to detect, monitor, and manage PD. …”
Get full text

Exploring the pork production chain in urban Ghana: insights from focus group discussions by Henry Ofosu Addo, Ayodele O. Majekodunmi, Antwi Joseph Barimah, Husein Bagulo, Florence Korley, Prince Philip Ankapong Asare, Langbong Bimi

“…This was to ascertain pig-keeping practices, the slaughter process, means of transport to vending sites, and hygiene and sanitation issues. …”
Get full text

Digital twin manifesto for the pathology laboratory by Albino Eccher, Fabio Pagni, Massimo Dominici, Luca Reggiani Bonetti, Stefano Marletta, Enrico Munari, Giorgio Cazzaniga, Anil V Parwani, Vincenzo L’Imperio, Angelo Paolo Dei Tos

“…Alongside these benefits, we address key implementation challenges including upfront infrastructure costs, workforce adaptation, and data security concerns. …”
Get full text

Operational Modes and Technical Points for Empowering Urban Park Green Spaces by Digital Technology by Yang ZHANG, Changlin LI, Ninglu ZHANG, Fei WU

“…Through digital technologies such as AI, Large Language Model, and Big Data, improve the unmanned and automated level of the whole process of environmental event response, resource ledger management, and personnel scheduling to achieve cost reduction and efficiency improvement in park operation. 4) “Online + offline” coordinated management in marketing and operation. …”
Get full text

Artificial Intelligence in Healthcare A Review of Machine Learning Applications by Karajgi Santosh, R Vijaya Prakash, Kumar K. Gagan, Selvi P Tamil, Shankar Bhukya, S Jeyanthi

“…At present, the challenges explored highlight the need for federated learning as a new way to train AI without exposing sensitive patient data, bias-aware models which promote equitable and fair healthcare decisions for all patients, cloud and edge AI to ensure that processing is cost effective and appropriate, and Explainable AI (XAI) to promote trust and transparency to patients and communities. …”
Get full text

Memristor Emulator Circuits: Recent Advances in Design Methodologies, Healthcare Applications, and Future Prospects by Amel Neifar, Imen Barraj, Hassen Mestiri, Mohamed Masmoudi

“…However, physical memristor implementations still face challenges in reproducibility, scalability, and integration with standard CMOS processes. Memristor emulator circuits, implemented using analog, digital, and mixed components, have emerged as practical alternatives, offering tunability, cost effectiveness, and compatibility with existing fabrication technologies for research and prototyping. …”
Get full text

Combining SNNs with filtering for efficient neural decoding in implantable brain-machine interfaces by Zhou Biyan, Pao-Sheng Vincent Sun, Arindam Basu

“…In this work, we show that combining traditional signal processing techniques, namely signal filtering, with SNNs improve their decoding performance significantly for regression tasks, closing the gap with LSTMs, at little added cost. …”
Get full text

Applications of Industry 4.0 Technologies in Warehouse Management: A Systematic Literature Review by Lihle N. Tikwayo, Tebello N. D. Mathaba

“…Warehousing requires the classification, controlling and management of inventory as well as processing of related information. Therefore, adopting efficient and reasonable warehouse management measures to achieve effective management and control of materials is a key means to flexibly adjusting the supply and demand of storage materials and reduce operating costs. …”
Get full text

Lightweight machine learning framework for efficient DDoS attack detection in IoT networks by Mamoona Nawaz, Shireen Tahira, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…Reduced features were selected to enhance performance and reduce processing cost. Three supervised learning models, Random Forest, Logistic Regression, and Naïve Bayes, were implemented and evaluated based on their detection accuracy, precision, recall, and F1-score. …”
Get full text

Enhancing inventory accuracy in dairy industries by Francisco Tiago Araújo Barbosa, Maria Silene Alexandre Leite, Mauro Sergio Carneiro Mascarenhas, Rogerio Santana Peruchi

“…Lean Six Sigma principles and the DMAIC framework were systematically applied to inventory, picking, and supply processes. Statistical validation was conducted using the Z-test for two proportions to confirm the effectiveness of the improvements implemented. …”
Get full text

Innovative Automated Manual Transmission (AMT) System for Bcycles: Design, Implementation and Control by Ahmet Kağızman, Fehmi Can Ay, Bengisu Kilinç, Talha Enes Ercan, Volkan Sezer

“…Notable for its compact design, low cost, and user-friendly assembly, this system also optimizes performance and comfort by offering multiple driving modes that dynamically adapt to user preferences or changing riding conditions. …”
Get full text

Analysis of diagnostic parameters of Truenat HPV for detecting Human papilloma virus: A study from a tertiary care hospital by Hemant G Deshpande, Prachi V Prasad, Manasi V Chavan, Charusheela R Gore, Chandrashekhar G Raut

“…Background: Human Papillomavirus (HPV) is a major etiological factor in cervical cancer, making rapid and accurate detection crucial for diagnosis. Prolonged processing times, high costs, and advanced infrastructures are the drawbacks of conventional diagnostic techniques. …”
Get full text