Multi-Scale Residual Convolutional Neural Network with Hybrid Attention for Bearing Fault Detection by Yanping Zhu, Wenlong Chen, Sen Yan, Jianqiang Zhang, Chenyang Zhu, Fang Wang, Qi Chen

“…The multi-scale residual network structure captures features at various scales, and fault classification is performed using global average and max pooling. The model was trained with the Adam optimizer and sparse categorical cross-entropy loss by incorporating a learning rate decay mechanism to refine the training process. …”
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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

“…This study demonstrates a distinct training strategy by employing a two-phase approach: first, training only the newly added dense layers while maintaining the layers of the base model frozen, and then, fine-tuning the entire model. …”
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Study on the Dynamic Instability Mechanism of the Rock Formation in the Multifault Structure Zone of the Stope by Hanxiao Guo, Weijian Yu, Yong Liu, Zongtang Zhang, Xiangtao Kang

“…In this model, there is a synergy between the fault layers, and the maximum value of stress concentration is diagonally distributed. …”
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A Bioinert Hydrogel Framework for Precision 3D Cell Cultures: Advancing Automated High‐Content and High‐Throughput Drug Screening by Hyunsu Jeon, Tiago Thomaz Migliati Zanon, James Carpenter, Aliciana Ilias, Yamil Colón, Yichun Wang

“…This results in a multi‐layered iCC domain, enabling the generation of in‐vitro 3D culture models with over 1000 spheroids per well in a 96‐well plate. …”
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Integrated Identification and Efficient Use of Biodiversity in Mountainous Regions by Mehdiyeva A. M., Mahmudova Z. A., Rustamova D. F., Mansurova D., Juraeva G.

“…Based on the data from drilled exploratory oil wells, the conditions for the formation of thermal water layers in various hydrogeological structures will be determined; hydrochemical research methods will be aimed at assessing the macro- and microcomponent composition and radiation background of thermal waters at various intervals of migration routes by determining various indicators at different depths of their formation (based on the petrochemical structure of the geological part); isotopic studies of the gas composition of thermal waters will help to identify their genesis and use them as a marker when determining the points of formation; computer modeling of the underground hydrosphere of a representative object was carried out using mathematical programs.…”
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Strain Redistribution Effect Based Composite Structured Sensor for Decouplable Tactile‐Strain Double‐Mode Perception by Hanning Wang, Xiaofei Liu, Da Chen, Zhanbo Zhang, Xinyu Ma, Hongchen Yu, Quanlin Qu, Huifang Wang, Fujie Cao, Tong Zhang, Yijian Liu

“…Existing solutions require complex integration processes or mathematical decoupling models. Effectively decoupling stretch and pressure response in flexible force‐sensitive sensors remains a critical task. …”
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Optimization procedure for conformance control by Konstantin M. Fedorov, Rodion M. Ganopolsky, Alexander Ya. Gilmanov, Alexander P. Shevelev

“…The following objectives were set: modification of the classical model of deep bed suspension migration for layered strata, introduction of criteria of suspension treatment efficiency, and optimization of the process. …”
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Study on the moisture permeability of warp-knitted Jacquard shoe upper material based on CFD by Lujiao Zuo, Qi Zhang, Jiani Tu, Meiting Nie

“…Abstract Developing warp-knitted Jacquard upper material is a laborious process, and conducting performance testing is intricate. …”
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Xylooligosaccharides from Barley Malt Residue Produced by Microwave-Assisted Enzymatic Hydrolysis and Their Potential Uses as Prebiotics by Shah Zaib Fareed, Pipat Tangjaidee, Tabkrich Khumsap, Wannaporn Klangpetch, Suphat Phongthai, Apinun Kanpiengjai, Chartchai Khanongnuch, Kridsada Unban

“…The influent factors on XOS production, microwave power, exposure time, and xylanase dosage were ascertained with response surface methodology based on Box–Behnken design (BBD). The fitted models of XOS and xylose yields were in good agreement with the experimental results. …”
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Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Zain Anwar Ali, Muhammad Ovais Akhter, Ahmed Alsanad, Areej Abdullah Alhogail, Abdu H. Gumaei

“…To enhance the effectiveness of segmentation, the proposed architecture utilises modern approaches including attention mechanisms, feature fusion processes, and regression-based output layer. It specifically uses Spatial and channel-wise attention mechanisms to capture important regions and inter channel dependencies. …”
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A new hybrid approach for solving partial differential equations: Combining Physics-Informed Neural Networks with Cat-and-Mouse based Optimization by Nursyiva Irsalinda, Maharani A. Bakar, Fatimah Noor Harun, Sugiyarto Surono, Danang A. Pratama

“…Extensive experiments were conducted under varying scenarios, including different numbers of hidden layers (3, 5, 7) and neurons per layer (10, 30, 50). …”
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Structural Design Optimization of Tidal Current Turbine Blades Based on Structural Safety Factors by Haechang Jeong, Changjo Yang

“…Using this process, the candidates for the optimal design model are selected based on the assigned weights on the Pareto frontier. …”
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Australian bushfire emissions result in enhanced polar stratospheric clouds by S. Prasanth, S. Prasanth, N. S. Anand, K. Sunilkumar, S. Jose, K. Arun, S. K. Satheesh, S. K. Satheesh, S. K. Satheesh, K. K. Moorthy

“…This highlights the primary formation pathways of ice and liquid–NAT mixtures and possibly helps us to simulate PSC formation and denitrification process better in climate models. These findings will contribute significantly to a deeper understanding of the impacts of extreme wildfire events on stratospheric chemistry and PSC dynamics.…”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…This adjustment also helped to reduce visual artifacts and excessive smoothing, while concurrently improving the stability of the model during the training process. To comprehensively evaluate the quality of the rice disease images generated by the proposed model and to assess its impact on disease recognition performance, both subjective and objective evaluation metrics were utilized. …”
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Privacy-Diffusion: Privacy-Preserving Stable Diffusion Without FHE and Differential Privacy by Po-Chu Hsu, Ziying Yu, Shuhei Mise, Hideaki Miyaji

“…By utilizing the irreversible property of neural network layers and the property that the predicted noise in the diffusion process is a normalized Gaussian distribution. …”
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Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

“…Specifically, these include the data-efficient model, which deepens the hierarchical encoder by adding convolution layers to transformer blocks and increases feature map resolution within transformer blocks, and the FPN-based model, which enhances the decoder through a Feature Pyramid Network (FPN) and attention mechanisms. …”
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TACTICS OF THE DENTIST DURING ORTHOPEDIC TREATMENT WITH DIFFERENT PROSTHESIS DESIGNS IN NON-STANDARD CLINICAL SITUATIONS by V.M. Dvornyk, H.M. Kuz, O.I. Teslenko, O.V. Dobrovolska, V.S. Kuz, K.Yu. Nedashkivskyi, K.V. Marchenko

“…In the course of our work, we analyzed orthopantomograms, computed tomography of jaws with existing bone formations and unfavorable clinical conditions for prosthetics, studied diagnostic models, and performed parallelemetry. In cases where patients have numerous bone formations, it is necessary to align the shape of the alveolar ridge with significant bone removal, which further accelerates the processes of atrophy, complicates or makes prosthetics impossible. …”
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Cold period in the Northern Europe in the past (about 8200 years ago): analysis of empirical data and possible causes by I. I. Borzenkova, O. K. Borisova, E. L. Zhiltsova, T. V. Sapelko

“…Most of scientists accept a hypothesis proposed more than 20 years ago, that the reduction of air temperatures in regions immediately adjacent to the North Atlantic was caused by the large volume of melt water discharged into the ocean as a result of disintegration and melting of ice-sheets. Climate models that take into account these effects allow estimating a decrease in the air and sea surface temperature due to freshening (desalination) of the upper ocean layer, and this confirms that the greatest decrease in temperature should be observed in the regions directly adjacent to the ocean. …”
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PIEZO1 promotes psoriasis-like skin inflammation in mice via NF-κB/IL-17 signaling pathway activation by Wen Li, Kan Ze, Xufeng He, Lili Yang, Huimin Zhang, Weian Yuan, Wuqing Wang

“…Results PIEZO1 expression was significantly upregulated in the basal layer of psoriatic lesions compared to healthy controls. …”
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Deploying a Wireless Sensor Network to Track Pesticide Pollution in Kiu Wetland Wells: A Field Study by Titus Mutunga, Sinan Sinanovic, Funmilayo B. Offiong, Colin Harrison

“…Water pollution from pesticides is a major concern for regulatory agencies worldwide due to expensive detecting mechanisms, delays in the processing of results, and the complexity of the chemical analysis. …”
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