Thermal conductivity of cement-based honeycomb materials: A comparative analysis of T-Shaped vs. H-shaped structural designs by Silong Wang, Junxiang Hu, Yuan Gao, Youjian Zhang, Xiaoxuan Gao, Qiangru Shen, Yanming Liu, Jing Chen

“…These advancements in the design and optimization of cement-based honeycomb materials represent a significant step toward the development of more efficient insulation materials.…”
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Producing mixed linked xylooligosaccharides from red algae biomass through single-step enzymatic hydrolysis by Michelle Teune, Christoph Suster, Yannick Wolf, Nils Michels, Henrieke Mieth, Thorben Döhler, Daniel Bartosik, Joris Krull, Jan-Hendrik Hehemann, Thomas Schweder, Christian Stanetty, Uwe T. Bornscheuer

“…Results This study introduces a simplified, one-step enzymatic process utilizing the endo-1,4-β-xylanase FO15_GH10 that directly hydrolyzes P. palmata biomass to produce XOS, eliminating the need for prior xylan extraction and improving efficiency. …”
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The solid state dispersion method for synthesizing eggshells ES/TiO2 composite to enhance photocatalytic degradation methylene blue by Rahmawati Munir, Dadan Hamdani, Darnah, Eva Marliana, Rahmiati Munir, Sahara Hamas Intifadhah, Ratna Kusuma

“…The use of eggshells as a primary source for developing value-added materials has garnered significant attention in recent years due to their effectiveness as an excellent adsorbent and support. …”
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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

“…Therefore, while employing GT-NMR or other graph-based methods for the rapid and routine prediction of NMR chemical shifts, it is advisable to utilize nSPS to assess their suitability. The source codes and trained model of GT-NMR are publicly available at GitHub. …”
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DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI by Saravanan Srinivasan, Lalitha Somasundharam, Sukumar Rajendran, Virendra Pal Singh, Sandeep Kumar Mathivanan, Usha Moorthy

“…Abstract Objective The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques. Material An open-source collection of fruit disease images, comprising both diseased and healthy samples from the first five fruit types, was used in this study. …”
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Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage by Farid Merahi, Hamza Mernache, Djamal Aouzelag, Abd Essalam Badoud, Mohit Bajaj, Ievgen Zaitsev

“…Abstract Wind energy plays a crucial role as a renewable source for electricity generation, especially in remote or isolated regions without access to the main power grid. …”
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Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

“…Today, open-source Cloud Computing platforms are valuable for geospatial image analysis while the combination of the Google Earth Engine (GEE) platform and new satellite launches greatly facilitate the monitoring of national-scale lake Water Quality (WQ). …”
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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…A multi-modal deep learning network model, TCN-BiLSTM-Transformer, was constructed, leveraging a multi-level feature extraction mechanism for efficient processing of temporal signals. The Temporal Convolutional Network (TCN), utilizing dilated convolutional kernels with an exponential expansion rate, captured multi-scale local features while preserving temporal integrity. …”
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Development of empirical correlations for sustainable breakup characterization of water and high-viscous oil sheets under acoustic perturbations using high-speed imaging by Aman Singh, Devesh T, Subhash K, Preetam Polavarapu, Jayakrishnan Rahul, Karthick S, Balaji K

“…The key innovation of this study is the design and fabrication of a compact liquid sheet acoustic atomizer that efficiently utilizes acoustic energy to produce high-quality sprays. …”
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Mapping stakeholders, services, data, and the information system for adolescent health in the West Bank by Aisha Shalash, Maysaa Nemer, Niveen Abu-Rmeileh, Mohammad Kittaneh, Dervla Kelly, Khalifa Elmusharaf

“…Methods This study utilized a comprehensive landscape analysis to assess adolescent health services in the West Bank. …”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…Specifically, we prompt Llama3, an open-source instruction-tuned large language model, to generate synthetic training data to expand our limited labeled data and adapt BERT, a small pretrained language model, to the task. …”
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LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

“…Low-level feature information is utilized to extract the small-object features that have been missing because of the structure of the pyramid structure in the YOLOv7-tiny neck component. …”
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Blue energy recovery in the Atacama Desert using electrochemical ion pumping devices: a Chilean perspective on salinity gradient energy by Felipe M. Galleguillos Madrid, Sebastián Salazar-Avalos, Markus Bergendahl, Javier Quispe, Norman Toro, Galvarino Casanueva-Yáñez, Alvaro Soliz

“…Among these, blue energy, referring to the power generated from the mixing of waters with different salinities, has emerged as a promising yet underutilized source. This perspective presents a comprehensive synthesis of recent advances in electrochemical harvesting systems, with a particular focus on Mixing Entropy Batteries (MEBs) as efficient, membrane-free devices for salinity gradient energy recovery. …”
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Adaptive Laboratory Evolution and Carbon/Nitrogen Imbalance Promote High-Yield Ammonia Release in <i>Saccharomyces cerevisiae</i> by Alex Pessina, Anna Giancontieri, Tommaso Sassi, Stefano Busti, Marco Vanoni, Luca Brambilla

“…We selected several evolved strains with a 3–5-fold increase in amino acid utilization and ammonia secretion. The multi-step bioreactor strategy of the evolved strain AAV6, supplemented with concentrated nitrogen sources, resulted in the production of 1.36 g/L of ammonia, a value in line with levels produced by other microbial systems. …”
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Autonomous Cyber-Physical Systems Enabling Smart Positive Energy Districts by Dimitrios Siakas, Georgios Lampropoulos, Kerstin Siakas

“…PEDs are urban neighborhoods that generate renewable energy to a higher extent than they consume, mainly through the utilization of innovative technologies and renewable energy sources. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…The coupling relationship between scale, quality and source and sink of water resources is the main factor influencing the quality of human settlement environment in a basin. …”
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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

“…On this basis, the wavefields were modeled by utilizing a high-resolution 3D velocity model, a fractional-order Gaussian wavelet source-time function, and spectral element method (SEM) wavefield modeling. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Zenith Tropospheric Delay (ZTD) is a significant source of atmospheric error in the Global Navigation Satellite System (GNSS). …”
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Integrated energy microgrid bi-level game scheduling optimization taking into account electricity-heat-hydrogen enriched compressed natural gas coupling and shared energy storage by Changgang Wang, Xiaoning Sun

“…Its integration into microgrids enhances the coupling and complementarity of diverse energy sources. Shared energy storage systems, which play a crucial role in improving energy utilization, have garnered increasing attention in recent research. …”
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