RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems by Jiacheng Ni, Fang Li, Shuai Cao, Linsong Li

“…To address the NLOS/LOS discrimination challenge, this paper proposes the RIM-Net model, which enhances CIR signal feature learning by integrating residual blocks and LSTM architectures. …”
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EM Database v1.0: A benchmark informatics platform for data-driven discovery of energetic materials by Xin Huang, Wen Qian, Jian Liu, Jun-hong Zhou, Chao-yang Zhang

“…In pursuit of high-performance EMs before synthetic attempts in the laboratory, the theoretically predicted properties and experimental results that can be easily accessed are desired. …”
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Architected Design and Fabrication of Soft Mechanical Metamaterials by Thileepan Stalin, Aby Raj Plamootil Mathai, Naresh Kumar Thanigaivel, Elgar Kanhere, Saikrishna Dontu, Gumawang Hiramandala, Aaron Chooi, Arturo Castillo Ugalde, Pablo Valdivia Y Alvarado

“…Planar printing tool paths, utilized in layer‐by‐layer printing such as fused deposition modeling (FDM) and prevalently used in most slicing algorithms, severely limit the realization of complex topologies required in metamaterials. …”
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The Vigil Magnetometer for Operational Space Weather Services From the Sun‐Earth L5 Point by J. P. Eastwood, P. Brown, W. Magnes, C. M. Carr, M. Agu, R. Baughen, G. Berghofer, J. Hodgkins, I. Jernej, C. Möstl, T. Oddy, A. Strickland, A. Vitkova

“…In situ measurements at L5 characterize the solar wind's geoeffectiveness (particularly stream interaction regions), and can also be ingested into heliospheric models, improving their performance. The Vigil space weather mission is part of the ESA Space Safety Program and will provide a real‐time data stream for space weather services from L5 following its anticipated launch in the early 2030s. …”
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Leveraging multiple cell-death patterns based on machine learning to decipher the prognosis, immune, and immune therapeutic response of soft tissue sarcoma by Binfeng Liu, Shasha He, Chenbei Li, Zijian Xiong, Zhaoqi Li, Chengyao Feng, Hua Wang, Chao Tu, Zhihong Li

“…The nomogram, comprising the cell death score (CDS) and clinical features, exhibited excellent predictive performance. …”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…This design reduces complexity and boosts segmentation performance. The addition of a multi-query attention (MQA) module enhances multi-scale feature integration, allowing end-to-end learning guided by ground truth. …”
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Research on deception jamming of chaotic composite short-range detection system based on bispectral analysis and genetic algorithm–back propagation by Dongxu Wei, Shuning Zhang, Si Chen, Huichang Zhao, Linzhi Zhu

“…In order to analyze and extract the different characteristics between deceptive jamming and target echo signal, so as to realize the anti-deceptive jamming of chaotic compound short-range detection system, this article analyzes and simulates the mathematical model of deceptive jamming and target echo, and analyzes the bispectral characteristics of the simulated echo and jamming signal, and a set of anti-deception jamming feature parameters has been constructed. …”
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Thorium in Kilonova Spectra: Exploring the Heaviest Detectable Element by Nanae Domoto, Shinya Wanajo, Masaomi Tanaka, Daiji Kato, Kenta Hotokezaka

“…Our models demonstrate that the Th feature may be detectable if the bulk of the ejecta in the line-forming region is dominated by relatively light r -process elements with the mixture of a small fraction of very neutron-rich material. …”
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Plaque biomarkers from high-frame rate vector flow imaging and shear wave elastography in mild carotid stenosis by Man Zhao, Jing Chen, Shiyao Gu, Haoqing Hu, Luni Zhang, Rong Wu, Caixia Jia

“…Multivariate logistic regression models were employed to evaluate correlations between these imaging-derived parameters and ipsilateral ischemic stroke. …”
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SERPINA3 predicts long-term neurological outcomes and mortality in patients with intracerebral hemorrhage by Pei Zheng, Zhihui Qi, Bin Gao, Yang Yao, Jingshan Chen, Hengri Cong, Yue Huang, Fu-Dong Shi

“…Pathological studies in postmortem human tissues and mouse models confirmed elevated SERPINA3 expression, with murine Serpina3n showing a similar pattern in mice. …”
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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

“…DREAM-ZS was overly confident in placing some incorrect geological features but outperformed the other methods in terms of convergence.…”
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Real-world treatment outcomes and clinicopathologic and molecular determinants of response to first-line lenvatinib in patients with advanced follicular cell-derived thyroid cancer by Kara M. Ruicci, Yangqing Deng, Tian Xiao, Antoine Eskander, David Goldstein, Ozgur Mete, Aruz Mesci, Jelena Lukovic, Monika K. Krzyzanowska, Carly C. Barron, Lucy X. Ma

“…At lenvatinib initiation, median age was 62.9 years, 68% were ECOG performance status ≥2, 81% had lung metastases, 53% had bone metastases and 8% had liver metastases. …”
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Oriented SAR Ship Detection Based on Edge Deformable Convolution and Point Set Representation by Tianyue Guan, Sheng Chang, Yunkai Deng, Fengli Xue, Chunle Wang, Xiaoxue Jia

“…The experimental results derived from two publicly available datasets, RSDD-SAR and SSDD, demonstrate that our proposed method achieves state-of-the-art performance when benchmarked against other advanced detection models.…”
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Ways to solve the problem of converting diesel locomotives to gaseous fuel by E. E. Kossov, V. V. Asabin, A. G. Silyuta, A. N. Zhuravlev, L. E. Kossova

“…A comparison of these options is given and solutions are proposed that allow using gas-diesel cycle on diesel locomotives. Mathematical models for calculating the performance indicators of a gas-diesel generator plant in operating modes and separately for the fuel supply process are presented, their features and some calculation results are presented. …”
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Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

“…To cope with this challenge information on crop performance is key. This study presents a novel framework for bridging landscape-scale vegetation dynamics with field-level crop phenology using Sentinel-1 radar time series. …”
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From pronounced to imagined: improving speech decoding with multi-condition EEG data by Denise Alonso-Vázquez, Omar Mendoza-Montoya, Ricardo Caraza, Hector R. Martinez, Javier M. Antelis

“…IntroductionImagined speech decoding using EEG holds promising applications for individuals with motor neuron diseases, although its performance remains limited due to small dataset sizes and the absence of sensory feedback. …”
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Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence (WISDOM AI stud... by Melissa Rochon, Judith Tanner, James Jurkiewicz, Jacqueline Beckhelling, Akuha Aondoakaa, Keith Wilson, Luxmi Dhoonmoon, Max Underwood, Lara Mason, Roy Harris, Karen Cariaga

“…<h4>Methods and analysis</h4>Conducted from September 2023 to March 2024, the study phases included compiling a training dataset of 37,974 images, creating a testing set of 3,634 images, developing an AI algorithm using 'You Only Look Once' models, and conducting prospective tests compared against clinical nurse specialists' evaluations. …”
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A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion by Jaleh Farmani, Ghazal Bargshady, Stefanos Gkikas, Manolis Tsiknakis, Raul Fernandez Rojas

“…The proposed framework includes a uni-modal approach (FCN-ALSTM-Transformer) comprising a Fully Convolutional Network, Attention-based LSTM, and a Transformer block to integrate features extracted by these models. Additionally, a multi-modal approach (CrossMod-Transformer) is introduced, featuring a dedicated Transformer architecture that fuses electrodermal activity and electrocardiogram signals. …”
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A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint by Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng

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Sort & Slice: a simple and superior alternative to hash-based folding for extended-connectivity fingerprints by Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris

“…Atom features learned by graph neural networks can be aggregated to compound-level representations using a large spectrum of graph pooling methods. …”
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