Quantification and mapping of tyre wear emissions: from EU regional analysis to global projections by Yichen Sun, Jikke van Wijnen, Ad M.J. Ragas

“…This study analyzes the variability in national TWP emissions estimated through different methodologies and provides guidance for optimizing these estimations. …”
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Advancing Sustainable Road Construction with Multiple Regression Analysis, Regression Tree Models, and Case-Based Reasoning for Environmental Load and Cost Estimation by Joon-Soo Kim

“…Despite advancements in building technologies and energy-efficient materials, accurate and reliable predictions for environmental load and construction costs during the planning and design stages remain limited due to insufficient data systems and complex project variables. …”
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Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques by Shoayee Dlaim Alotaibi, Abeer A. K. Alharbi

“…Next, the EADCD-TIPAIT technique performs a binary greylag goose optimization (BGGO)-based feature selection approach to efficiently identify relevant features that distinguish between normal and dementia-affected brain regions. …”
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Comparative study of agricultural parcel delineation deep learning methods using satellite images: Validation through parcels complexity by Amine Hadir, Mohamed Adjou, Olga Assainova, Gaëtan Palka, Marwa Elbouz

“…Parcel delineation is the subject of numerous studies, most of which focus on the development of more efficient methods or ones better adapted to specific cases. …”
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Functional brain networks develop from a "local to distributed" organization. by Damien A Fair, Alexander L Cohen, Jonathan D Power, Nico U F Dosenbach, Jessica A Church, Francis M Miezin, Bradley L Schlaggar, Steven E Petersen

“…These observations suggest that early school age children and adults both have relatively efficient systems that may solve similar information processing problems in divergent ways.…”
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22 Advancing clinical trial reporting and AI integration: Optimizing protocol data extraction using LLMs and regulatory best practices by Ramya Sri Baluguri, Nicholas Anderson

“…We are refining content generation and workflows to different components of studies and evaluating their use in quality and training areas. …”
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Effects of biochar combined with the application of plant ash and effective microorganisms on the soil in the vegetable facility by Minhan Sun, Shuanxi Fan, Nan Zhang

“…The experiment setup consisted of a blank control (CK) and six treatment groups (T1–T6) with different dosage gradients. The combined application of biochar, plant ash and EM bacteria significantly enhanced various soil properties. …”
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The Impact of Interdisciplinary Team-Based Care on the Care and Outcomes of Chronically Ill Patients: A Systematic Review by Kongkar R, Ruksakulpiwat S, Phianhasin L, Benjasirisan C, Niyomyart A, Ahmed BH, Puwarawuttipanit W, Chuenkongkaew WL, Adams J

“…At the organizational level, it leads to more efficient healthcare utilization.Keywords: interdisciplinary team-based care, chronic illness, patient outcomes, systematic review…”
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Characterization of Hypervirulent Klebsiella pneumoniae (Hv-Kp): Correlation of Virulence with Antimicrobial Susceptibility by V. Vandhana, K. Vishwas Saralaya, Sevitha Bhat, Shalini Shenoy Mulki, Archana. K. Bhat

“…Hence, it is important to efficiently identify Hv-Kp strains from clinical samples and determine their antimicrobial susceptibility patterns, so as to provide immediate and effective treatment and to prevent possible outbreaks.…”
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In Vitro Regeneration of Tea (Camellia sinensis (L). O. Kuntze) By Somatic Embryogenesis from Immature Cotyledon Tissues by Emine Yurteri, Mücahit Salih Can, Fatih Seyis, Haydar Kuplemez

“…Tea clonal propagation in vitro has the advantage of producing a large number of elite plants. If an efficient in vitro regeneration technology is available, this technique could be exploited for selection of tea plants for desired trait. …”
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Effects of high-intensity interval training on cardiopulmonary function and quality of life in post-PCI or CABG patients with coronary heart disease: a meta-analysis by Guizhen Hong, Fei Liu

“…Conclusion HIIT effectively enhances cardiopulmonary function and quality of life in CHD post-surgery. HIIT may be a time-efficient alternative to MICT in cardiac rehabilitation programs. …”
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Optimizing Frozen Sample Preparation for Laser Microdissection: Assessment of CryoJane Tape-Transfer System®. by Yelena G Golubeva, Roberta M Smith, Lawrence R Sternberg

“…In an attempt to optimize laser microdissection slide preparation for tissues of different RNA stability and cryosectioning difficulty, we evaluated the CryoJane system for use with both glass (laser capture microdissection) and membrane (laser cutting microdissection) slides. …”
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Application of the Multi-Strategy Improved Walrus Optimization Algorithm in Mobile Robot Path Planning by Yongfu Ke, Limei Shi, Weinan Ji, Peng Luo, Lei Guo

“…In complex environments, planning an efficient, stable, and safe path is an urgent problem that needs to be addressed. …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…Smart grid technology now allows users to manage home energy use more efficiently and effectively. This study explores optimizing Artificial Neural Network (ANN) parameters using meta-heuristic algorithms instead of traditional gradient-based methods to predict residential electricity consumption across different seasons. …”
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Accurate Prediction of Compression Index of Normally Consolidated Soils Using Artificial Neural Networks by Ali Ulvi Uzer

“…This underlines the potential of ANN methodologies to efficiently extract important data with fewer experiments and in less time, and offers promising applications in the field of geotechnical engineering.…”
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IoT-Edge Hybrid Architecture with Cross-Modal Transformer and Federated Manifold Learning for Safety-Critical Gesture Control in Adaptive Mobility Platforms by Xinmin Jin, Jian Teng, Jiaji Chen

“…The system maintains industrial-grade safety certification with energy-efficient computation. Bridging adaptive mechanics with edge intelligence, this research pioneers a sustainable IoT-edge paradigm for smart mobility, harmonizing real-time responsiveness, ecological sustainability, and scalable deployment in complex urban ecosystems.…”
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Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism by Yichen Liao, Ziqi Gao, Xufeng Li

“…This is highly significant in advancing the efficient utilization of wind energy and promoting the sustainable development of the wind power industry.…”
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ML Based Social Media Data Emotion Analyzer and Sentiment Classifier with Enriched Preprocessor by Jayamalini Kothandan, Ponnavaikko Murugesan

“…This paper also focuses on various Machine Learning Techniques and steps to use the text classifier and different types of language models.…”
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In Silico Prediction of Maize microRNA as a Xanthine Oxidase Inhibitor: A New Approach to Treating Hyperuricemia Patients by Manas Joshi, Mohd Mabood Khan

“…The ability to block xanthine oxidase (XO) is a useful way to check how different bioactive molecules affect hyperuricemia. …”
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Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning by Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi

“…Workload prediction is one of the most basic requirements in developing cost and energy-efficient Cloud Data Centers (CDCs). Most traditional approaches have suffered from noise and failed to capture the complex dynamic patterns in workload data, reducing their accuracy. …”
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