An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…This research proposes a novel feature fusion-based model that incorporates two parallel tracks for efficient feature extraction. The first track utilizes the Swin transformer, which captures long-range dependencies by employing shifted windows and self-attention mechanisms. …”
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HyperSMamba: A Lightweight Mamba for Efficient Hyperspectral Image Classification by Mengyuan Sun, Liejun Wang, Shaochen Jiang, Shuli Cheng, Lihan Tang

“…Among these advancements, the Transformer-based models have gained considerable attention due to their ability to establish long-range dependencies. However, the quadratic computational complexity of the self-attention mechanism limits its application in hyperspectral image classification (HSIC). …”
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Remote Sensing Image Compression via Wavelet-Guided Local Structure Decoupling and Channel–Spatial State Modeling by Jiahui Liu, Lili Zhang, Xianjun Wang

“…Moreover, existing visual state–space (VSS) models built upon Mamba typically treat all channels equally and lack mechanisms to dynamically focus on semantically salient spatial regions. …”
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Tacrolimus dosing in liver transplant recipients using phenotypic personalized medicine: A phase 2 randomized clinical trial by Jeffrey Khong, Megan Lee, Curtis Warren, Un Bi Kim, Sergio Duarte, Kenneth A. Andreoni, Sunaina Shrestha, Mark W. Johnson, Narendra R. Battula, Danielle M. McKimmy, Thiago Beduschi, Ji-Hyun Lee, Derek M. Li, Chih-Ming Ho, Ali Zarrinpar

“…Abstract Tacrolimus is the most commonly used immunosuppression drug after solid organ transplantation; however, its dosing is challenging due to substantial inter-individual variability, often resulting in blood levels that deviate from the target therapeutic range. We explored whether a dynamically customized, phenotypic-outcome-guided drug dosing method could improve maintenance of drug trough levels within pre-determined target ranges, focusing on tacrolimus immediately after liver transplantation. …”
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Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data by Lei Wang, Shiwen Deng

“…Finally, local detail features are captured through a parallel CNN branch, complementing the global relationship modeling of the HGCN. …”
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A mechanical lumped-element model of the human middle ear for bone conduction hearing by Xiying Guan

“…Yet the mechanism underlying BC is not fully understood mainly because the bone-conducted vibrations in the skull simultaneously stimulate the outer ear, the middle ear, and the cochlea. The nature of the parallel stimulation on those interconnected parts makes it difficult to contemplate the dynamics in each compartment and the influences they impose on each other. …”
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Discrete element simulations of self-gravitating rubble pile collisions: the effects of non-uniform particle size and rotation by Job Guidos, Lucas Kolanz, Davide Lazzati

“…We present a new implementation of a soft-sphere discrete element code to simulate the dynamics of self-gravitating granular materials. The code is used to study the outcome of sub-sonic collisions between self-gravitating rubble piles with masses ranging from 6x10^{21} to 6x10^{22} g. …”
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Hydrodynamics of flow through living shoreline structure by Tanhaseng Kanyarat, Kositgittiwong Duangrudee, Ekkawatpanit Chaiwat, Kompor Wongnarin, Petpongpan Chanchai

“…Larger seadomes, with widths ranging from 45 to 60 cm, achieved wave reduction rates of up to 98%. …”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…AirQuaNet integrates deep learning (DL) innovations, namely Multi-Scale Convolutional Blocks (MSCBs), residual connections, and self-attention mechanisms, to enhance its feature extraction capabilities and enable it to learn long-range temporal dependencies. The MSCBs employ four parallel 1D convolutional layers with different kernel sizes, enabling the model to extract multi-scale features critical for learning patterns in complex environmental data. …”
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Microsystem for Improving Energy Efficiency by Minimizing Room-Level Greenhouse Effects in Homes by Shuza Binzaid, Abhitej Divi

“…The greenhouse effect, responsible for trapping heat in Earth’s atmosphere, has a parallel thermal phenomenon at the indoor scale known as the Room-Level Greenhouse Effect (RGHE), where solar radiation elevates room temperatures and increases energy consumption. …”
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A Conceptual Design of Deployable Antenna Mechanisms by Hyeongseok Kang, Bohyun Hwang, Sooyoung Kim, Hyeonseok Lee, Kyungrae Koo, Seonggun Joe, Byungkyu Kim

“…In general, such large-scale antennas, ranging from 1 to up to 10 m, need a specific mechanism that can reconfigure their shapes and morphologies, resulting in stowing and deploying upon the given environment. …”
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The Reliability of the GNRB® Knee Arthrometer in Measuring ACL Stiffness and Laxity: Implications for Clinical Use and Clinical Trial Design by Kayla Smith, Nicole Miller, Steve Laslovich

“…Greater knee joint laxity appears to negatively affect dynamic joint function and therefore reliable and valid measures of ACL stiffness and laxity are clinically valuable…”
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Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

“…The results of domains cross-fertilization could support practical applications, such as improving neuroprosthetics and brain-machine interfaces by leveraging criticality in materials science and neuroscience or developing advanced materials for space exploration. The parallels between neural and social networks could deepen our understanding of human behavior, while studying cosmic and social systems may reveal shared dynamics in large-scale, interconnected structures. …”
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Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles by W. Daniel Kissling, Yifang Shi, Jinhu Wang, Agata Walicka, Charles George, Jesper E. Moeslund, France Gerard

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Structural Deformation Style and Seismic Potential of the Maoyaba Fault, Southeastern Margin of the Tibet Plateau by Xianbing Zhang, Ning Zhong, Xiao Yu, Guifang Yang, Haibing Li

“…The southeastern margin of the Tibet Plateau represents one of the most seismically active zones in China and serves as a natural laboratory for investigating the uplift dynamics and lateral expansion mechanisms of the plateau. …”
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SOFIA/HAWC+ Far-infrared Polarimetric Large-area CMZ Exploration Survey. IV. Relative Magnetic Field Orientation throughout the CMZ by Dylan M. Paré, David T. Chuss, Kaitlyn Karpovich, Natalie O. Butterfield, Jeffrey Inara Iuliano, Xing Pan, Edward J. Wollack, Qizhou Zhang, Mark R. Morris, Mathilda Nilsson, Roy J. Zhao

“…We find that there is a range of magnetic field orientations throughout the population of CMZ molecular clouds, ranging from parallel to perpendicular orientation. …”
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Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs by Xuan LIU, Yadong JI, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chaofeng LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

“…The results indicate that the TCN-LSTM-SVM model integrated the parallel processing advantages and multi-scale feature extraction capacity of the TCN model while also enjoying the excellent prediction performance and generalization capability of the LSTM-SVM model. …”
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Research On Calculation of Longitudinal Deformation of The Underlying Shield Tunnel Caused By Excavation of The Foundation Pit Considering Consolidation Effects by LYU Linhai, DONG Cheng, ZHAO Zhe, JIANG Mingjie, JI Yongkai, QIU Shizheng, ZHANG Zhendong, MEI Guoxiong

“…These parametric relationships demonstrate that while all three soil properties influence tunnel uplift behavior, their respective effects manifest through distinct mechanisms - affecting either the temporal evolution, ultimate magnitude, or dynamic range of the displacement response.…”
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Feature-Reduced Stability Analysis of Islanded Photovoltaic Microgrid Inverters by A. Om Prakash, R. Narmatha Banu

“…The reduced number of variables is validated for a stable range of the parallel inverter droop controller. …”
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A Novel Controllable Reactor Technology for Reactive Power Compensation of Electrified Railways by 张宇, 李江红, 陈乔夫, 王坚, 谭娟

“…A multi-winding reactor, the secondary windings of which connecting anti-parallel thyristors and voltage- source inverter (VSI) respectively, can obtain reactance varying in a wide range continuously with the thyristors′ stepping switching and VSI controlling. …”
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