Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…Overall, this study demonstrates the potential of machine learning algorithms for predicting tunnel abrasion in SBTs.Paper highlightsThis study introduces a validated 2D model for tunnel abrasion based on field data, contributing to improved sediment management in SBTs.ASM Model efficiently predicts abrasion mapping in SBT, achieving 86.4% overall accuracy.High sensitivity and specificity in distinguishing abraded and non-abraded areas.Captures four complex abrasion patterns in straight and curved sections but is limited to relatively small wave-like patterns.Geometric and hydraulic parameters, particularly the elongated distance and flow velocity, exhibit significant impacts in the ASM model.…”
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Novel Cerium‐Based p‐Dopants with Low Parasitic Absorption for Improved Organic Devices by Stephanie A. Buchholtz, L. Conrad Winkler, Maximilian F. X. Dorfner, Fred Kretschmer, Anncharlott Kusber, Léonard Y. M. Eymann, Theresa Schmidt, Hans Kleemann, Johannes Benduhn, Frank Ortmann, Karl Leo

“…The decreased parasitic absorption yields optical‐microcavity‐enhanced photodetectors with significantly reduced full‐width at half maximum, paving the way toward more efficient and wavelength‐selective infrared detectors.…”
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Dynamic 3D-Network Coating Composite Enables Global Isolation of Phosphopeptides, Stepwise Separation of Mono- and Multi-Phosphopeptides, and Phosphoproteomics of Human Lung Cells by Linlin Liu, Zhenhua Chen, Danni Wang, Weida Liang, Binbin Wang, Chenglong Xia, Yinghua Yan, Chuanfan Ding, Xiaodan Meng, Hongze Liang

“…These results demonstrate the material’s superior enrichment efficiency in complex biological samples.…”
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Predicting future evapotranspiration based on remote sensing and deep learning by Xin Zheng, Sha Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Jiahua Zhang, Yun Bai

“…Study region: The watersheds of the four flux sites in the United States were selected as the study areas for this research. Study focus: This study validates the efficiency of Convolutional Long Short-Term Memory Network (ConvLSTM) models for site-scale ETa prediction. …”
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Pricing for finished products of the enterprise: accounting and analytical aspect by N.L. Pravdyuk

“…Factors and points of influence on the efficiency of the pricing policy are: information support of process of pricing assessment of pricing factors, establish the objectives of price policy, assessment of customer demand, cost analysis, competition analysis, selecting a pricing method that measures the price adjustment, the evaluation price risk. …”
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Can Smart Electrochemical Sensors Sustainably Tackle PFAS-@Microplastics? by Andrea Lee, Riley Orr, Justin Sanchez-Almirola, Jasmina Casals-Terré, Ajeet Kaushik

“…Electrochemical sensors detect MPs (ppb) and PFAS (ppt) selectively, but simultaneous detection of both in the PFAS@MP complexation has not been demonstrated. …”
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Principles of Arranging Independent Appraisal of Competences and Professional Development of Employees in Organization by K. V. Ekimova, S. M. Nechaeva, I. A. Kalinina

“…Thus, results of independent appraisal help project the employee’s profile and make decision concerning arrangement of training and selecting acute subjects. Preliminary independent appraisal of competence possession can provide efficient training of workers, which fosters the development of staff potential and sustainable functioning of then organization in general.…”
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The brain ages optimally to model its environment: evidence from sensory learning over the adult lifespan. by Rosalyn J Moran, Mkael Symmonds, Raymond J Dolan, Karl J Friston

“…Theoretical neurobiology offers a simpler explanation for all of these effects--from a Bayesian perspective, as the brain is progressively optimized to model its world, its complexity will decrease. A corollary of this complexity reduction is an attenuation of Bayesian updating or sensory learning. …”
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An azo substituted quinoline‐malononitrile enzyme‐activable aggregation‐induced emission nanoprobe for hypoxia imaging by Zhirong Zhu, Shichang Liu, Xupeng Wu, Qianqian Yu, Yi Duan, Shanshan Hu, Wei‐Hong Zhu, Qi Wang

“…Abstract The development of efficient aggregation‐induced emission (AIE) active probes is crucial for disease diagnosis, particularly for tumors and cardiovascular diseases. …”
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Physiological responses in Neolitsea sericea seedlings to drought stress by WANG Yihang, ZHAO Luyao, WANG Guoming, ZHU Aiyi

“…However, few studies on drought tolerance of N. sericea have been reported yet.Plant response to drought stress at a molecular level is a complex biological process, involving consideration of the stress effects and regulation events. …”
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Multiple active site metal-based catalysts for C-N coupling reactions and the beyond by Mingzheng Shao, Yangbo Ma, Yuecheng Xiong, Liang Guo, Yunhao Wang, Guozhi Wang, Fu Liu, Fengkun Hao, Xiang Meng, Xintao Ma, Zhanxi Fan

“…However, the low Faradaic efficiency and poor selectivity of C-N coupling reactions, arisen from obscure understanding of the complex multi-step reactions and competitive side reactions, hinder their practical applications. …”
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Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms by Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang

“…Context Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).Objective This study explored the most suitable classification algorithm for PMN identification, and to provide data reference for PMN diagnosis research.Methods A total of 500 patients were referred to Luo-he Central Hospital from 2019 to 2021. …”
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Advanced solid materials for the extraction of drugs from biological fluids by P. García-Atienza, A. García-Juan, S. Armenta, J.M. Herrero-Martínez, H. Martínez-Pérez-Cejuela

“…The determination of drugs in biological fluids is essential across various fields, including toxicological analysis, pharmacokinetic studies, and the development of new pharmaceutical products, among others. However, the complexity of biological matrices—due to the presence of endogenous compounds and the typically low concentrations of target analytes—needs efficient sample preparation strategies alongside high-performance instrumentation to achieve the sensitivity and selectivity required in modern analytical chemistry. …”
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Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

“…However, the accurate determination of slip pathways, crucial for understanding the deformation mechanism, still poses a great challenge owing to the complex crystal structures of these materials. In this study, we propose an automated workflow based on the interlayer slip potential energy surface to identify slip pathways in complex inorganic systems. …”
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Analysis of Production Process Performance Using Computer by Pawlak Szymon, Fornalczyk Agnieszka

“…Planning a production process in terms of correctly defining its efficiency, duration and the level of generated costs is a difficult task. …”
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Influence of Yeast Interactions on the Fermentation Process and Aroma Production in Synthetic Cocoa Pulp vs. Real Mucilage Media by Lydie Besançon, Da Lorn, Christelle Kouamé, Joël Grabulos, Marc Lebrun, Angélique Fontana, Sabine Schorr-Galindo, Renaud Boulanger, Caroline Strub, Alexandre Colas de la Noue

“…These findings emphasize the complex microbial interactions in cocoa fermentation that could shape future cocoa bean aroma.…”
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Challenges of integrating HIV prevention and treatment in China's border mountain regions: a grounded theory study by Sixian Du, Haoran Niu, Feng Jiang, Liwen Gong, Shan Zheng, Qi Cui, Xu Yang, Jiayan He, Rongcai Dai, Qilian Luo, Yiqing Yang

“…Conclusion This study highlights the complex challenges in HIV prevention, treatment, and integration in economically underdeveloped regions, emphasizing the need for improved patient awareness, healthcare system efficiency, and cross-institutional collaboration. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Optimization Algorithms: Developing efficient algorithms to solve linear fractional transshipment problem with multi-objective linear fractional functions. 4. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…Spiking neural networks (SNNs) have significant potential for a power-efficient neuromorphic AI. However, their training is challenging since most of the learning principles known from artificial neural networks are hardly applicable. …”
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Interference Reduction by Millimeter Wave Technology for 5G-Based Green Communications by Tin-Yu Wu, Tse Chang

“…Because the number of macro-cells will affect the communication quality and the computational complexity, this paper especially focuses on three factors of a network: delay, capacity, and path loss, and purposes to figure out the most energy-efficient BS densities for 5G-based green communications.…”
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