Optimized removal of trivalent arsenic from aquatic environments using Prosopis juliflora seed biomass by M. Samimi, J. Nouri

“…BACKGROUND AND OBJECTIVES: With urban populations struggling with wastewater and water sources contaminated by metalloids, the demand for sustainable and effective methods for removing heavy metals is growing ever more urgent. Arsenic contamination in wastewater and water supplies is a critical environmental concern worldwide, posing severe health risks and demanding effective mitigation strategies. …”
Get full text

Identifying key evaluation criteria and design attributes to optimize sports bra design for senior females by Jun Zhang, Newman Lau, Tsai-Chun Huang, Xiaolu Li, Ruixin Liang, Zidan Gong, Jianming Chen, Kit-lun Yick, Joanne Yip

“…Furthermore, the findings suggest that the long-shirt encapsulation-style sports bra, featuring a high neckline and a double back layer, was more suitable for senior women than the other three styles tested. …”
Get full text

Utilizing vegetation indices with optimal wavelengths to predict nitrogen uptake at the flowering stage and wheat yield by Akina Mizumoto, Hiroko Sawada, Ryo Terasaki, Kou Nakazono, Hiroe Yoshida, Akihiro Ohsumi, Akira Fukushima

“…These findings present important implications for enhancing agricultural practices by providing more accurate and efficient methods for predicting nitrogen uptake and wheat yield.…”
Get full text

Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images by Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami

“…This assists medical doctors in making more exact diagnoses and treatment plans and helps patients better understand their health. …”
Get full text

Optimization of Vegetative Propagation Techniques for <i>Juniperus communis</i> L. Under Greenhouse Conditions by Marina Sanz Gallego, Miguel Tomás Gascón, Luis Saúl Esteban Pascual

Get full text

Optimizing the therapeutic benefits of synriam combined with praziquantel in mice harbouring juvenile and mature Schistosoma mansoni by Abdel-Nasser A. Sabra, Maha B. Salem, Samia William, Olfat A. Hammam, Naglaa M. El-Lakkany

Get full text

Design of a SUMO-Based Simulator for Optimal Location of Emergency Vehicles in the Emergency Medical Systems by Antoni Mínguez, Volkan Tozan, Monica El-Assaad, Silvia Solà-Muñoz, Youcef Azeli, Luis J. de la Cruz Llopis, Xavier Jiménez-Fàbrega, Carles Galup, Raimon Dalmau, Mónica Aguilar Igartua

“…As a case study, we explored various alternative configurations reducing response time by more than 2 min.…”
Get full text

A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization by Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah

“…This study proposes a hybrid system that combines optimal feature selection and advanced classification techniques to improve stroke prediction performance. …”
Get full text

Optimizing selectivity via steering dominant reaction mechanisms in steam reforming of methanol for hydrogen production by Mengyuan Zhang, Zhi Liu, Yong Yan, Diru Liu, Guangyan Xu, Yingsheng An, Yingtong Zou, Yunbo Yu, Joseph S. Francisco, Hong He

“…Herein, we present a strategy to refine selectivity via pathway optimization, exemplified by the rational design of catalysts for methanol steam reforming. …”
Get full text

Optimizing food pantry stocking through client preferences: a novel elicitation and classification process by Benjamin F. Morrow, Lauren Berrings Davis, Steven Jiang, Nikki McCormick

“…However, the framework and corresponding optimization model is generalizable to other food aid supply chains. …”
Get full text

Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques by Arifa Zahir, Zulfiqar Ali, Ahmad Sami Al-Shamayleh, Syed Raza Ab bas, Basharat Mahmood, Abdullah Hussein Al-Ghushami, Rubina Adnan, Adnan Akhunzada

“…The outcomes of the research hold the potential to transform agricultural practices by introducing a more effective, data-driven approach to plant breeding management.…”
Get full text

Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…For more efficient and cost-effective drilling, improvements in drilling techniques and well placement schemes were introduced, achieving accelerated drilling speed and cost reductions. …”
Get full text

Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

“…The proposed WEFL-XAI model ensures privacy-preserving, real-time, and adaptive vehicular energy optimization, leveraging traffic patterns, vehicle energy states, and grid load conditions. …”
Get full text

Evaluating combinations of rainfall datasets and optimization techniques for improved hydrological predictions using the SWAT+ model by Mahesh R. Tapas, Randall Etheridge, Thanh-Nhan-Duc Tran, Manh-Hung Le, Brian Hinckley, Van Tam Nguyen, Venkataraman Lakshmi

“…New Hydrological Insights for the Region: Key findings revealed that five SWAT+ parameters (cn2, revap_co, flo_min, revap_min, and awc) were consistently sensitive across all SPPs and watersheds, with rainfall products exerting a greater influence on simulated river flow than optimization techniques. Among the SPPs, GPM IMERG performed the best, followed by ERA-5 and gridMET, while NSE was more responsive to changes in SPPs and calibration methods than KGE and R². …”
Get full text

Towards Sustainable Magnetic Resonance Neuro Imaging: Pathways for Energy Optimization and Cost Reduction Strategies by Zélie Alerte, Mateusz Chodorowski, Samy Ammari, Alex Rovira, Julien Ognard, Ben Salem Douraied

“…These findings support the implementation of more sustainable practices in medical imaging without compromising care quality.…”
Get full text

Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets by Agnieszka Sobianowska-Turek, Amelia Zielińska, Weronika Urbańska, Anna Mielniczek, Agnieszka Fornalczyk, Szymon Pawlak, Tomasz Małysa, Janusz Cebulski

“…The article aims to investigate and optimize the parameters of acidic reductive leaching for more efficient lithium recovery. …”
Get full text

Effects of Gypsum and Limestone on Early-Age Hydration and Strength Optimization in Belite Calcium Sulfoaluminate Cement by Sai Akshay Ponduru, Bryan K. Aylas-Paredes, Taihao Han, Advaith Neithalath, Narayanan Neithalath, Gaurav Sant, Aditya Kumar

“…The binder containing 12% gypsum and 20% limestone was identified as the optimal mixture, yielding a compressive strength of 39 MPa. …”
Get full text

Topology Optimization for Aircraft Applications Using Hybrid and Multi-Material Methods for Different Component Scales by Wouter van den Brink, Tim Koenis, Timo Osinga, Maria Montero-Sistiaga

“…This research addresses questions concerning the aircraft-level and component-level feasibility of optimized designs, optimization features, inertia relief, and mesh size influence. …”
Get full text

Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

Get full text

An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining by Charan Kumar Ala, Zefree Lazarus Mayaluri, Aman Kaushik, Nikhat Parveen, Surabhi Saxena, Abu Taha Zamani, Debendra Muduli

“…A multiobjective optimization scheme is employed to balance competing goals: minimizing peak particle velocity (PPV), maximizing fragmentation efficiency, and reducing operational costs. …”
Get full text