Swimming Pools Causing Electromagnetic Interference on Cardiac Devices: A Case Series by Lisa M. Conte, Adam J. Kisling, Matthew Needleman

“…Electromagnetic interference (EMI), also called radiofrequency interference, is unwanted electromagnetic signals from extracardiac sources that are detected by cardiac pacemakers or defibrillators, potentially affecting device therapies. …”
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A method for high‐throughput production of sequence‐verified DNA libraries and strain collections by Justin D Smith, Ulrich Schlecht, Weihong Xu, Sundari Suresh, Joe Horecka, Michael J Proctor, Raeka S Aiyar, Richard A O Bennett, Angela Chu, Yong Fuga Li, Kevin Roy, Ronald W Davis, Lars M Steinmetz, Richard W Hyman, Sasha F Levy, Robert P St.Onge

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Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

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Dynamic separate resource pool algorithm for vehicle-to-infrastructure communication by Jicheng Yin, Shengmin Zhao, Seung-Hoon Hwang

“…Moreover, NR-V2X sidelink feature allows users to randomly select a resource and maintain it for several periods, resulting in interference. In this paper, a separate resource pooling algorithm is introduced, in which the number of resources used by different users is dynamically changed with a fuzzy inference system, considering the current resource status and number of neighbours. …”
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In situ genotyping of a pooled strain library after characterizing complex phenotypes by Michael J Lawson, Daniel Camsund, Jimmy Larsson, Özden Baltekin, David Fange, Johan Elf

“…Abstract In this work, we present a proof‐of‐principle experiment that extends advanced live cell microscopy to the scale of pool‐generated strain libraries. We achieve this by identifying the genotypes for individual cells in situ after a detailed characterization of the phenotype. …”
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Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism by Yuefeng Chen, Weihua Liu, Qing Yang, Huabin Chen, Qi Jiang

“…This study presents an innovative segmentation algorithm that seamlessly integrates an adaptive multi-scale attention mechanism with the Lossab loss function to tackle challenges like overlapping molten pool contours and arc interference during image segmentation. …”
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Pooled Analysis of the Efficacy and Safety of Video Capsule Endoscopy in Patients with Implantable Cardiac Devices by Rabih Tabet, Najib Nassani, Boutros Karam, Youssef Shammaa, Philippe Akhrass, Liliane Deeb

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Natural CCD2 Variants and RNA Interference for Boosting Crocin Biosynthesis in Tomato by Elena Moreno-Giménez, Eduardo Parreño, Lucía Morote, Alberto José López Jiménez, Cristian Martínez Fajardo, Silvia Presa, Ángela Rubio-Moraga, Antonio Granell, Oussama Ahrazem, Lourdes Gómez-Gómez

“…Furthermore, in order to increase the zeaxanthin pool in the fruit, an RNA interference construct was introduced to limit the conversion of zeaxanthin to violaxanthin. …”
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Application of Systems-of-Systems Theory to Electromagnetic Warfare Intentional Electromagnetic Interference Risk Assessment by Nigel Davies, Huseyin Dogan, Duncan Ki-Aries

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Heat shock interferes with the amino acid metabolism of bovine cumulus-oocyte complexes in vitro: a multistep analysis by Hayder Radhi Hussein Mzedawee, Rasoul Kowsar, Reza Moradi-Hajidavaloo, Roya Shiasi-Sardoabi, Khaled Sadeghi, Mohammad Hossein Nasr-Esfahani, Mehdi Hajian

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Pooled PPIseq: Screening the SARS-CoV-2 and human interface with a scalable multiplexed protein-protein interaction assay platform. by Darach Miller, Adam Dziulko, Sasha Levy

“…This approach combines the mDHFR split-tag reporter with the iSeq2 interaction-barcoding system to permit massively-multiplexed PPI quantification by simple pooled engineering of barcoded constructs, integration of these constructs into budding yeast, and fitness measurements by pooled cell competitions and barcode-sequencing. …”
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A Welding Defect Detection Model Based on Hybrid-Enhanced Multi-Granularity Spatiotemporal Representation Learning by Chenbo Shi, Shaojia Yan, Lei Wang, Changsheng Zhu, Yue Yu, Xiangteng Zang, Aiping Liu, Chun Zhang, Xiaobing Feng

“…A multi-granularity attention-based feature aggregation module is developed to select key interference-free frames using cross-frame attention, generate multi-granularity features via grouped pooling, and apply the Convolutional Block Attention Module (CBAM) at each granularity level. …”
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Antirotavirus IgA seroconversion rates in children who receive concomitant oral poliovirus vaccine: A secondary, pooled analysis of Phase II and III trial data from 33 countries. by Julia M Baker, Jacqueline E Tate, Juan Leon, Michael J Haber, Benjamin A Lopman

“…Early trials suggested that oral poliovirus vaccine (OPV), when administered concomitantly with rotavirus vaccine, reduces rotavirus seroconversion rates after the first rotavirus dose with modest or nonsignificant interference after completion of the full rotavirus vaccine course. …”
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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…Afterwards, the processed fault data set is brought into a parallel hybrid neural network model with a global average pooling layer (GAP) for feature extraction, feature fusion, and fault classification. …”
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A cytidine deaminase-like protein modulates pyrimidine nucleotide homeostasis in Trypanosoma brucei by Ana Moro-Bulnes, Cristina Bosch-Navarrete, Pablo Antequera-Parrilla, Santiago Castanys, Antonio E. Vidal, Luis Miguel Ruiz-Pérez, Guiomar Pérez-Moreno, Dolores González-Pacanowska

“…Here, we characterize a T. brucei cytidine deaminase-like protein (TbCDA-like), a kinetoplastid-specific enzyme absent in mammals, that harbors a deaminase domain and a zinc-finger CCCH motif. Using RNA interference (RNAi) and overexpression approaches, we demonstrate that TbCDA-like modulates pyrimidine nucleotide pools, influencing both ribonucleotide and deoxyribonucleotide profiles. …”
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Dual Attention-Based Global-Local Feature Extraction Network for Unsupervised Change Detection in PolSAR Images by Dazhi Xu, Ming Li, Yan Wu, Peng Zhang, Xinyue Xin

“…Due to the interference of multiplicative speckles, it is challenging to accurately detect changes in polarimetric synthetic aperture radar (PolSAR) images. …”
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Foreign object detection on coal conveyor belt enhanced by attention mechanism by ZHANG Yang, CHENG Zhiyu, CHEN Yunjiang, ZHANG Jiannan, YUAN Wensheng, ZHANG Hui

“…There are many complex factors in the special environment of coal transportation in power plants, such as uneven light, dust interference, and the different shapes, sizes, and materials of foreign objects on the coal conveyor belt. …”
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Small Object Detection in UAV Remote Sensing Images Based on Intra-Group Multi-Scale Fusion Attention and Adaptive Weighted Feature Fusion Mechanism by Zhe Yuan, Jianglei Gong, Baolong Guo, Chao Wang, Nannan Liao, Jiawei Song, Qiming Wu

“…In the feature extraction phase, the model employs a hybrid pooling strategy that combines Avg and Max pooling to replace the single Max pooling operation used in the original SPPF framework. …”
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Fault diagnosis method of telecom cloud platform based on deep CNN model by Qingpu Hu, Jian Hu

“…In response to the problem of fault location caused by massive alarm logs in the complex architecture of telecom cloud platforms, this study proposes a time-frequency image recognition model (WCNN) based on depthwise separable small convolution kernels, which replaces traditional pooling layers to achieve efficient feature extraction. …”
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YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization by Zhihao Wei, Yan Wei

“…The channel-space dual attention mechanism (CBAM) is integrated into the C2f module, and the channel weights are computed by global average pooling and maximum pooling in parallel, combined with the spatial attention features extracted by convolution, to realize the accurate focusing on defect-related channels and spatial regions, and the experimental results show that the improved model’s mAP@50 reaches 94.2%, which is 2.4% better than that of the baseline model YOLOv10n, and better than that of YOLOv5n. …”
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