Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…The balanced and concentrated sub-basins are conducive to the formation of abundant water resources and efficient settlement spatial structure. Basin terrain is an important factor influencing the human settlement environment in a basin, and the impact mode on the quality of the human settlement environment in a basin is “weak monomer, strong synergy”. …”
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Development of eco-friendly and cost-effective electrochemical sensor for the simultaneous detection of 4-aminophenol and paracetamol in water by Antía Fdez-Sanromán, Najib Ben Messaoud, Marta Pazos, Emilio Rosales, Raquel Barbosa Queirós

“…It was successfully tested in real freshwater samples, demonstrating high accuracy even in complex matrices. This innovative methodology provides a rapid, cost-effective, and portable analytical tool for routine monitoring of pharmaceutical contaminants, enabling more accurate environmental risk assessments and supporting the implementation of more efficient management strategies.…”
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Sustainable uric acid sensor based on a lab-fabricated electrode modified with rice straw-derived carbon materials by Pakin Noppawan, Jaroon Jakmunee, Andrew J. Hunt, Nontipa Supanchaiyamat, Suwiwat Sangon, Jamras Lerdsri, Thidarat Kruatian, Jantima Upan

“…Furthermore, the sensor demonstrates robust selectivity toward uric acid in the presence of typical interferents, underscoring its applicability for precise uric acid determination in complex biological matrices. …”
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A fully automated U-net based ROIs localization and bone age assessment method by Yuzhong Zhao, Yihao Wang, Haolei Yuan, Weiwei Xie, Qiaoqiao Ding, Xiaoqun Zhang

“…The method consists of two parts: a U-net-based backbone, selected for its strong performance in semantic segmentation, which enables precise and efficient localization without the need for complex pre- or post-processing. …”
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Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device by Kei Suzuki, Tipporn Laohakangvalvit, Midori Sugaya

“…The feature selection methods were Light Gradient Boosting Machine (LightGBM) feature importance, mutual information, ReliefF and ElasticNet coefficients. …”
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A Scalable Real-Time SDN-Based MQTT Framework for Industrial Applications by E. Shahri, P. Pedreiras, L. Almeida

“…Software-Defined Networking (SDN) is the forefront traffic management paradigm that offers flexibility for complex industrial networks, enabling efficient resource allocation and dynamic reconfiguration. …”
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Design and analysis of 3D-printed PLA scaffolds: Enhancing mechanical properties by Aquib Rahman, Kazi Farhan Tanvir, Halima Khatun Jui, Md. Tanvir Ahmed, Shah Md Ashiquzzaman Nipu, Shaikh Bin Hussain

“…This study provides notable contributions by providing easily manufacturable, cost-efficient new scaffold designs.…”
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Ub-POD: A Ubiquitin-Specific Proximity-Dependent Labeling Technique to Identify E3 Ubiquitin Ligase Substrates in Human Cells by Urbi Mukhopadhyay, Sophie Levantovsky, Christian Behrends, Sagar Bhogaraju

“…Here, we present an efficient protocol that enables the selective biotinylation of substrates of a given ubiquitin ligase. …”
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Immunoinformatics-Based development of a Multi-Epitope vaccine candidate targeting coinfection by Klebsiella pneumoniae and Acinetobacter baumannii by Gul Afshan, Namrah Yaseen, Syed H Ali, Asad U. Khan

“…Molecular dynamics (MD) simulations of the vaccine-TLR4 complex predicted a net binding energy of -508.0 kJ/mol, indicating high stability. …”
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MRDDA: a multi-relational graph neural network for drug–disease association prediction by Congzhou Chen, Yaozheng Zhou, Yinghong Li, Jin Xu, Demin Li, Lingfeng Wang

“…Biological entities such as drugs, genes, proteins, RNA, and diseases interact within a complex network. How to adequately extract the intrinsic relationships among them and accurately predict the drug-disease associations remains a challenge. …”
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Spiking Neural Networks for Multimodal Neuroimaging: A Comprehensive Review of Current Trends and the NeuCube Brain-Inspired Architecture by Omar Garcia-Palencia, Justin Fernandez, Vickie Shim, Nicola Kirilov Kasabov, Alan Wang, the Alzheimer’s Disease Neuroimaging Initiative

“…SNNs use discrete spikes for event-driven communication, making them energy-efficient and well suited for the real-time processing of dynamic brain data. …”
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Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed by Li Feng, Maosheng Zhang, Yimin Mao, Hao Liu, Chuanbo Yang, Ying Dong, Yaser A. Nanehkaran

“…Abstract Landslides pose a significant threat to infrastructure, ecosystems, and human safety, necessitating accurate and efficient susceptibility assessment methods. Traditional models often struggle to capture the complex spatial dependencies and interactions between geological and environmental factors. …”
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Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques by Abdulaziz Almalaq, Khalid Alqunun, Rabeh Abbassi, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem

“…Abstract Transmission expansion planning (TEP) is a vital process of ensuring power systems' reliable and efficient operation. The optimization of TEP is a complex challenge, necessitating the application of mathematical programming techniques and meta-heuristics. …”
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68Ga-labeled fluorinated benzamide derivatives for positron emission tomography imaging of melanoma. by Chaewon Lee, Boreum Song, Eunsu Kim, Yejin Seo, Dagyeong Hong, Jiyu Kim, Wookyeong Jeong, Seong-Young Kwon, Dong-Yeon Kim, Ayoung Pyo

“…The advanced stages of melanoma have a very poor prognosis because of the high tendency for metastasis, and there is therefore, a strong desire to develop efficient technology for the early detection of melanoma. …”
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A Facile Method for Screening DPP IV Inhibitors in Living Cell System Based on Enzyme Activity Probe by Shu-Mei Pan, Chun-Yu Xing, Hong-Wei Li, Rui-Min Wang, Xin-Yue Pu, Tie-Gang Wang, Dan-Dan Wang, Li-Wei Zou

“…Deciphering the relevance of DPP IV to human diseases and screening the inhibitors of DPP IV requires reliable tools, which can sense the function of this key enzyme in complex biological samples. Therefore, we aimed to construct a simple and easy-to-use assay for human DPP IV activity in a living cell system to achieve highly sensitive and selective detection of DPP IV function and further screening for its inhibitors. …”
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Research on the Instability Mechanism and Control Technology of Gob-Side Entry in Deep Mines with Soft Rock by Lu Ma, Luyi Xing, Chang Liu, Tongyuan Cui, Xi Qiao, Wang Miao, Peng Kong

“…The gob-side entry driving in deep mines with soft rock exhibits a complex deformation and instability mechanism. This complexity leads to challenges in roadway stability control which greatly affects the coal mine production succession and safe and efficient mining. …”
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A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector by Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang

“…Also, a novel decision-making algorithm leveraging the presented structure for multi-criteria analysis and complex system modeling is designed. The algorithm is applied to select optimal renewable energy source based on their economic, environmental, and technical aspects. …”
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What can be lost? Genomic perspective on the lipid metabolism of Mucoromycota by Blanka Sokołowska, Małgorzata Orłowska, Alicja Okrasińska, Sebastian Piłsyk, Julia Pawłowska, Anna Muszewska

“…Some strains have been selected as promising biotechnological organisms due to their ability to produce polyunsaturated fatty acids and efficient conversion of nutrients into lipids. …”
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Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…By simulating the selection, crossover, and mutation mechanisms in biological evolution, the GA efficiently searches for optimal solutions in the parameter space, thereby optimizing the performance of XGBoost. …”
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Multi-objective Optimization Design of Component Cooling System in HPR1000 by ZHAO Weiguang1, 2, YU Pei1, 3, ZENG Xiaobo1, 2, FAN Guangming1, 2, YAN Changqi1, 2

“…To enhance the design of the component cooling system (RRI) within the HPR1000 cold chain system and to address issues of low utilization efficiency and poor economic performance under specific design and operational conditions, a mathematical model was developed. …”
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