Sea-detecting Radar Experiment and Target Feature Data Acquisition for Multisource Observation Dataset of Maritime Targets by Ningbo LIU, Jia LI, Guoqing WANG, Baoxin CHEN, Zheng CAO, Yunlong DONG, Jian GUAN, Xingyu JIANG, Zihao ZHANG, Wei XUE

“…Moreover, an automated data management system was implemented to support data storage, conditional retrieval, and batch export, providing a solid foundation for the automated acquisition, long-term accumulation, and efficient use of maritime target characteristic data. …”
Get full text

micRoclean: an R package for decontaminating low-biomass 16S-rRNA microbiome data by Rachel Griffard-Smith, Emily Schueddig, Diane E. Mahoney, Prabhakar Chalise, Devin C. Koestler, Dong Pei

“…Further, we demonstrate through a multi-batch simulated microbiome sample that micRoclean matches or outperforms tools with similar objectives. …”
Get full text

Micro-Fabricated Compact Extrinsic Fabry-Perot Sensor for In-Situ Harsh Environment Acoustic Measurement by Qi Xi, Binghe Ma, Zhiyong Tian, Ruofei Li, Yinan Wang, Zhibo Ma

“…The prospect of our proposed sensor is realizing multi-point, in-situ acoustic measurement in harsh environment of aerospace engine internal flow field, enabled by its batch fabrication process and high compactness as well as sensitivity, which we believe will shows great potential in significant industrial domains.…”
Get full text

Chaperone overexpression boosts heterologous small molecule production in Saccharomyces cerevisiae by Andreas M Vestergaard, Wasti Nurani, Paul Cachera, Uffe H Mortensen

“…This is surprising, as SM pathways typically depend on multiple enzymes including large multi-domain synthases or synthetases, which may all benefit from folding assistance to enhance the catalytic power of the pathway. …”
Get full text

A cross-chain model for warehouse receipts in port supply chain based on notary mechanism and ShangMi cryptographic algorithms by Yangbo Chen, Wei Ou, Mengxue Pang, Jianqiang Ma, Qiuling Yue, Wenbao Han

“…To further enhance operational efficiency, the system incorporates performance optimization strategies such as batch processing and incremental synchronization. …”
Get full text

RT-DETR-Pro: An Enhanced RT-DETR Model for Visual Detection of Photovoltaic Module Defects by Yunliang Chen, Mingtao Shan, Wei Zhou, Bing Ma, Xun Mei

“…Firstly, an EMA (Efficient Multi-Scale Attention) module is integrated into the vanilla RT-DETR model to optimize feature representation by reshaping the channel and batch dimensions of feature maps. …”
Get full text

Engineered Folding and Secretion for Expression Improvement of α‐Amylase in Komagataella Phaffii by Yilun Zhang, Xingbin Wang, Bei Han, Chaoying Yao, Qi Liu, Menghao Cai

“…High‐efficiency signal peptides were screened and multi‐copy integrant strains were constructed to achieve a high‐yield strain. …”
Get full text

A construction of heterogeneous transfer learning model based on associative fusion of image feature data by Wen-Fei Tian, Ming Chen, Zhong Shu, Xue-jun Tian

“…Also, a correlation coefficient is computed for image feature vectors, and effective correlation mapping matrices are constructed through multi-dimensional vectorized correlation. Then, the feature vectors and correlation coefficients are aggregated using the Batch Normalization Layer to assess correlations between image features. …”
Get full text

Mineral Heterostructures for Simultaneous Removal of Lead and Arsenic Ions by Tijana Spasojević, Mirjana Ćujić, Vesna Marjanović, Zlate Veličković, Maja Kokunešoski, Aleksandra Perić Grujić, Maja Đolić

“…The MOHs were more effective in removing Pb²⁺ and As(V) in the multi-component system (87.7 and 46.1%, respectively) than in the single-component system (56.3 and 23.4%, respectively). …”
Get full text

The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study by Yao Li, Siyuan Zhou, Bichen Ren, Shuai Ju, Xiaoyan Li, Wenqiang Li, Bingzhe Li, Yunmin Cai, Chunlei Chang, Lihong Huang, Zhihui Dong

“…Abstract This study explores diabetic foot (DF), a severe complication in diabetes, by combining deep learning (DL) and machine learning (ML) to develop a multi-model prediction tool. Early identification of high-risk DF patients can reduce disability and mortality. …”
Get full text

A Scalable Data-Driven Surrogate Model for 3D Dynamic Wind Farm Wake Prediction Using Physics-Inspired Neural Networks and Wind Box Decomposition by Qiuyu Lu, Yuqi Cao, Pingping Xie, Ying Chen, Yingming Lin

“…This involves training separate NN models on smaller, canonical domains (with and without turbines) that can be stitched together to represent larger farm layouts, significantly reducing training data requirements compared to monolithic farm simulations. The development of a batch simulation interface for SOWFA to generate the required training data efficiently is detailed. …”
Get full text

Aging-Invariant Sheep Face Recognition Through Feature Decoupling by Suhui Liu, Chuanzhong Xuan, Zhaohui Tang, Guangpu Wang, Xinyu Gao, Zhipan Wang

“…Then, a nonlinear feature decoupling module employs a hybrid channel-batch attention mechanism to separate age-related features from identity-specific characteristics. …”
Get full text

Integrative bulk RNA analysis unveils immune evasion mechanisms and predictive biomarkers of osimertinib resistance in non-small cell lung cancer by Ling Shi, Feng Qiu, Chao Shi, Guohua Zhang, Feng Yu

“…In this study, we employed an integrative bioinformatics approach to analyze multi-cohort transcriptomic datasets, uncovering 126 resistance-associated genes, revealing 50 significant osimertinib resistance-related genes, and identifying eight key hub genes (KRT14, KRT16, KRT17, KRT5, KRT6A, KRT6B, TP63, and TRIM29) that contribute to immune evasion and tumor microenvironment remodeling. …”
Get full text

Pest detection in dynamic environments: an adaptive continual test-time domain adaptation strategy by Rui Fu, Shiyu Wang, Mingqiu Dong, Hao Sun, Mohammed Abdulhakim Al-Absi, Kaijie Zhang, Qian Chen, Liqun Xiao, Xuewei Wang, Ye Li

“…CDPD includes Dynamic Data Augmentation (DynamicDA), a Dynamic Adaptive Gate (DAG), and a Multi-Task Dynamic Adaptation Model (MT-DAM). Our DynamicDA enhances images for each batch by combining strong and weak augmentations. …”
Get full text

Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset by Md Firoz Kabir, Md Yousuf Ahmad, Roise Uddin, Martin Cordero, Shashi Kant

“…Our proposed model, LightSE-MobileViT, integrates a lightweight convolutional neural network (CNN) backbone consisting of sequential convolutional layers enhanced with batch normalization and rectified linear unit activations. …”
Get full text

High Performance Frequent Subgraph Mining on Transaction Datasets: A Survey and Performance Comparison by Bismita S. Jena, Cynthia Khan, Rajshekhar Sunderraman

“…Many authors have tried to achieve better performance using Graphic Processing Units (GPUs) which has multi-fold improvement over in-memory while dealing with large datasets. …”
Get full text

Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System by Imran Latif, Alex C. Newkirk, Matthew R. Carbone, Arslan Munir, Yuewei Lin, Jonathan Koomey, Xi Yu, Zhihua Dong

“…Holding model architecture constant, increasing batch size from 512 to 4096 images for ResNet reduced total training energy consumption by a factor of 4. …”
Get full text

Techno-economic analysis of a novel clc reactor-based system for energy storage and back-up power in a cruise ship by Lucas F. Calvo, María Elena Diego, Marco Astolfi

“…An oxygen diffusion-based reactor model is employed to design and model the performance of the multi-reactor system employed, which consists of 22 high energy density reactors of 15 m length and 2.1 m2 cross section with a maximum power output of 20 MWth each. …”
Get full text

Snowmelt runoff model (SRM) for regulated watersheds with regulation-correction by Ninad Bhagwat, Xiaobing Zhou, Raja Nagisetty, Liping Jiang, Glenn Shaw, Martha Apple, Jeremy Clotfelter

“…Abstract We expanded the Snowmelt Runoff Model (SRM) to simulate streamflow in regulated watersheds, resulting in a modified framework termed the Expanded SRM (E-SRM) that integrates multi-year automated batch processing, nested iterators, and a seasonal divider algorithm for streamflow simulation. …”
Get full text

Multiscale Characterization of Thermo-Hydro-Chemical Interactions Between Proppants and Fluids in Low-Temperature EGS Conditions by Bruce Mutume, Ali Ettehadi, B. Dulani Dhanapala, Terry Palisch, Mileva Radonjic

“…Experiments were conducted under simulated EGS conditions at 130 °C with daily thermal cycling over a 25-day period, using diluted site-specific Utah FORGE geothermal fluids. Static batch reactions were followed by comprehensive multi-modal characterization, including scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), X-ray diffraction (XRD), and micro-computed tomography (micro-CT). …”
Get full text