Georesistivity assessment of lithological and hydrodynamic factors in groundwater sanitation of Akwa Ibom river channel aquifer system by Kufre Richard Ekanem, Nyakno Jimmy George, Aniekan Martin Ekanem, Ndifreke Inyang Udosen, Jewel Emem Thomas

“…In Nigeria's coastal aquifers, the results shed light on pollution hazards, groundwater recharge efficiency, and methods for managing water resources sustainably.…”
Get full text

Heat storage for the coupling of Waste Heat Recovery and hydrogen production in a Solid-Oxide electrolyser by Fabiani Titouan, Tochon Patrice, Le Pierres Nolwenn, Dumoulin Pierre

“…The heat exchangers are modeled in 0D using the LMTD method. A 1-tank thermocline thermal storage with a rock bed is chosen in this study. …”
Get full text

Mechanism of morphology regulation and photocatalytic performance of bismuth tungstate by precursor pH in hydrothermal reactions by Tingting LIU, Libing CAO, Yan WU, Mengge YAN, Fanyu YANG, Zheng WU

“…Semiconductor photocatalysis has gained increasing attention as an eco-friendly and versatile method for removing refractory pollutants. Among various photocatalysts, bismuth tungstate (Bi2WO6) has emerged as a promising photocatalyst due to its strong visible-light response and high chemical stability. …”
Get full text

Erythromycin effect on the intestinal microbial community of rats by E.V. Skvortsov, Rish.S. Muhammadiev, Rin.S. Muhammadiev, L.R. Valiullin

“…The research is important for the practical purposes of animal farming and veterinary medicine, because a significant increase in the abundance of pathogenic microorganisms caused by antibiotic treatment turns the intestine into a reservoir of infections resistant to antibiotics, which need to be combated efficiently. To solve this problem, both rapid and accurate methods must be elaborated for quantitative determination of the main bacteria in the intestine during the use of antibiotics, such as erythromycin. …”
Get full text

Mass and stiffness sensing performance of nanomechanical resonators: viability of infectious virus detection by Manuel Gómez-Moreno, Juan Molina, José J. Ruz, Óscar Malvar, Javier Tamayo, Montserrat Calleja, Álvaro San Paulo

“…We conclude that the practical application of nanomechanical spectrometry for infectious virus detection is not limited by the performance of state-of-the-art sensor technology, but by the efficiency of analyte delivery methods, encouraging future research on optimizing their implementation.…”
Get full text

Enhancing Process Control and Quality in Amorphous Solid Dispersions Using In-Line UV–Vis Monitoring of L* as a Real-Time Response by Mariana Bezerra, Juan Almeida, Matheus de Castro, Martin Grootveld, Walkiria Schlindwein

“…<b>Background:</b> This study demonstrates the application of the sequential design of experiments (DoE) approach within the quality by design (QbD) framework to optimize extrusion processes through screening, optimization, and robustness testing. <b>Methods:</b> An in-line UV–Vis process analytical technology (PAT) system was successfully employed to monitor critical quality attributes (CQAs) of piroxicam amorphous solid dispersion (ASD) extrusion products, specifically lightness (L*). …”
Get full text

Optimization of PID Controllers Using Groupers and Moray Eels Optimization with Dual-Stream Multi-Dependency Graph Neural Networks for Enhanced Dynamic Performance by Vaishali H. Kamble, Manisha Dale, R. B. Dhumale, Aziz Nanthaamornphong

“…Additionally, it minimizes overshoot to 1.5% and reduces the steady-state error to just 0.005 V, demonstrating superior accuracy and efficiency compared to existing methods. These improvements demonstrate the system’s ability to deliver optimal performance while effectively adapting to dynamic environments, showcasing its superiority over existing techniques.…”
Get full text

Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network by G. Srinivasan, Kumar Reddy Cheepati, B. Srikanth Goud, Mohammed Alqarni, Basem Alamri, Ch. Rami Reddy

“…The reductions in E_Loss achieved by LFM-SOA have been compared with those of other existing methods in the literature for all the cases. The results reveals that the developed methodology efficiently achieves more EBs ($) for all the cases by optimizing DNSA with and without RPIs and IREGs.…”
Get full text

Emulation With Uncertainty Quantification of Regional Sea‐Level Change Caused by the Antarctic Ice Sheet by Myungsoo Yoo, Giri Gopalan, Matthew Hoffman, Sophie Coulson, Holly Kyeore Han, Christopher K. Wikle, Trevor Hillebrand

“…We build a physics‐based emulator using a recent sensitivity kernel approach and compare it to machine learning based emulators (neural network and conditional variational autoencoder methods). In order to quantify uncertainty, we derive well‐calibrated prediction intervals for regional sea‐level change via split‐conformal inference and linear regression, and show that Monte Carlo dropout does not yield well‐calibrated uncertainties in this instance. …”
Get full text

Bayesian Optimization-Based State-of-Charge Estimation with Temperature Drift Compensation for Lithium-Ion Batteries by Zhen-Rong Yuan, Ke-Feng Huang, Cai-Hua Xu, Jun-Chao Zou, Jun Yan

“…By comparing with traditional methods, the proposed algorithm, introducing a temperature-adaptive mechanism and a dynamic parameter updating strategy, can effectively address the estimation limitations under severe temperature variations and initial SOC uncertainties. …”
Get full text

Purification and Molecular Characterization of a Mammalian Neurotoxin as a Pharmaceutical Tool from the Venom of Iranian Scorpion Androctonus crassicauda by Hadi Rabiei, Abbas Zare Mirakabadi, Bita Mohtat, Behrooz Mirza

“…Phylogenetic analysis displays the toxin has 97% sequence similarity with alpha toxins reported from north African scorpions that affect voltage-gated sodium channels (VGSC), also proposed that differentiation among the scorpions of family Buthidae is affected by the geographical conditions and efficiency in evolutionary varia­tions. AnCra2 exposed binding residues have a high affinity for receptor residues in site-3 (segment-3) of VGSC that are approved by three-dimensional structure and homology modeling. …”
Get full text

Performance Evaluation of Pressure Swing Adsorption for Hydrogen Separation from Syngas and Water–Gas Shift Syngas by Aleksander Krótki, Joanna Bigda, Tomasz Spietz, Karina Ignasiak, Piotr Matusiak, Daniel Kowol

“…Effective purification methods are essential to ensure high hydrogen purity for various applications, particularly fuel cells, chemical synthesis, or automotive fuel. …”
Get full text

AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…Abundant experiments on two underwater datasets demonstrated that the proposed AASNet obtains an optimal balance between segmentation performance and efficiency. Concretely, AASNet achieves mAP scores of 31.7 and 47.4, respectively, on the UIIS and USIS dataset, significantly outperforming existing state-of-the-art methods. …”
Get full text

Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…High-precision underwater object detection is a crucial component for improving the efficiency of marine resource development. Traditional detection methods face challenges due to underwater environmental factors such as low brightness and high blurriness. …”
Get full text

Control Optimization of Steam Boilers via Reinforcement Learning by Emmanuel Okafor, Maad Alowaifeer

“…The adaptive fusion mechanism dynamically modulates control actions (feedwater flow and applied heat) in response to system variations, ensuring superior stability. Furthermore, a novel nonlinear settling time algorithm is introduced to accurately assess transient responses in complex signals, addressing the limitations of conventional methods. …”
Get full text

Dynamic Agricultural Pest Classification Using Enhanced SAO-CNN and Swarm Intelligence Optimization for UAVs by Shiwei Chu, Wenxia Bao

“…The rapid advancement of agricultural modernization demands urgent solutions for accurate and real-time pest monitoring to enhance crop productivity. Traditional manual methods lack efficiency and fail to capture dynamic pest behaviors, while existing deep learning models struggle with robustness in complex environments. …”
Get full text

AI-powered smart hydrological measurement using deep vision integrated with BeiDou high precision positioning by Zhiqiang He, Dongxiang Zhang, Qian Wang

“…As per the early investigations, most modern methods struggle with significant limitations regarding precise monitoring and tracking ability. …”
Get full text

Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…The framework employs a list of techniques including load-level detection, home vacancy detection, and weather-sensitivity analysis and statistical methods to provide detailed insights into building energy dynamics. …”
Get full text

Fabrication and assessment of ethosomes for effective transdermal delivery of loxoprofen by Sarah Abd Alhur, Hasanain Mahmood

“…Objective(s): To formulate and evaluate ethosomes for the transdermal delivery of loxoprofen, a potent non-steroidal anti-inflammatory drug (NSAID).Materials and Methods: Fifteen ethosomal formulations were created via thin-film hydration and probe sonication techniques, with variations in the amounts of egg yolk lecithin, ethanol, cholesterol (CHOL), Tween 80 (TW80), and propylene glycol (PG). …”
Get full text

A Daily Reference Crop Evapotranspiration Forecasting Model Based on Improved Informer by Junrui Pan, Long Yu, Bo Zhou, Junhong Zhao

“…Daily reference crop evapotranspiration (ET₀) is crucial for precision irrigation management, yet traditional prediction methods struggle to capture its dynamic variations due to the complexity and nonlinearity of meteorological conditions. …”
Get full text