Fast detection method for radionuclides based on Sequential Bayesian approach by WAN Linjian, ZHANG Xuan, ZHANG Chunlei, HUANG Jianwei, LIU Jiacheng, ZHANG Xiaole, LI Dehong, YANG Zhijun

“…Based on the principle that the time interval between adjacent two rays was exponential distributed, the decision was caculated by collecting a series of ray time samples in chronological sequence, and decisions were made by comparing the decision function with the preset upper and lower thresholds. …”
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Functional divergence and characterization of the HOTHEAD gene family in rice by Jialin Liu, Qing Ye, Yaqi Shen, Zheng Wu, Wenxiang Jiang, Dandan Guo, Xiafei Hu, Xiaoqing Wang, Zelin Zhang, Lifang Hu

“…These findings demonstrate the functional divergence of OsHTH genes in anther development and lipid metabolism, laying a foundation for understanding their roles in rice reproduction. …”
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A Novel Approach to Detect Malware Based on API Call Sequence Analysis by Youngjoon Ki, Eunjin Kim, Huy Kang Kim

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An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

“…The experimental results show that the ESWO-IDM achieves the best performance in all the metrics in both binary classification and multiclassification and has the most prominent effect on the detection of normal, denial of service (DoS), distributed DoS, and Brute Force Attack types, which effectively improves SDN intrusion detection from the viewpoint of optimization.…”
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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…Electrocardiogram (ECG) classification plays a critical role in early detection and trocardiogram (ECG) classification plays a critical role in early detection and monitoring cardiovascular diseases. …”
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Functional Reorganizations of Brain Network in Prelingually Deaf Adolescents by Wenjing Li, Jianhong Li, Jieqiong Wang, Peng Zhou, Zhenchang Wang, Junfang Xian, Huiguang He

“…Previous neuroimaging studies suggested structural or functional brain reorganizations occurred in prelingually deaf subjects. …”
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Distributed Improved RILOS Guidance-Based Formation Control of Underactuated ASVs for Cooperative Maritime Search by Weili Guo, Cheng Liu, Feng Xu, Ting Sun

“…Finally, the fuzzy logic system is integrated into the sliding mode control (SMC) method to approximate the unknown nonlinear function; then, a distributed improved RILOS guidance-based SMC controller is presented for multiple ASVs. …”
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Generalization challenges in video deepfake detection: methods, obstacles, and technological advances by LI Junjie, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…Regarding the challenges of cross-dataset detection, the paper analyzes how differences in feature distributions between datasets lead to the performance degradation of traditional deep learning models in cross-domain applications. …”
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Numerical simulation for spray spatial distribution of swirl nozzle and its target dustfall area prediction by Cuicui Xu, Xinyu Jia, Jingjing Jing, Junpeng Wang, Qingyi Mi, Gang Zhou, Lirong Wu

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Design and Detection Performance of Metal Contaminant Sensor with Triple Coil Structure by Changzhi Gu, Zuo Zhang, Shaoxuan Zhang, Hongliang Zhao, Shukui Hu, Wenbo Zhang, Chenzhao Bai, Hongpeng Zhang, Chenyong Wang

“…This paper firstly explains the sensing principle of this triple coil sensor detection by formula derivation. Secondly, the simulation model of the sensor was established by using COMSOL 6.0 simulation software according to the scale of 1:1, and the magnetic field strength distribution law inside the coil of the triple-coil sensor was simulated. …”
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Detection of the Trajectories of Moving Rectilinearly Air Targets in the Secondary Processing of Radar Information by G. S. Nakhmanson, D. S. Akinshin

“…Introduction. The primary functions of secondary processing of radar information are to detect and maintain the trajectories of air targets (AT). …”
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Mobile Beacon Based Wormhole Attackers Detection and Positioning in Wireless Sensor Networks by Honglong Chen, Wendong Chen, Zhibo Wang, Zhi Wang, Yanjun Li

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Photometric Determination of Unresolved Main-sequence Binaries in the Pleiades: Binary Fraction and Mass-ratio Distribution by Rongrong Liu, Zhengyi Shao, Lu Li

“…This approach enables an accurate photometric determination of f _b and q distribution in a cluster. The detectable mass ratio can be down to the ${q}_{{\rm{lim}}}$ , limited by the minimum stellar mass in theoretical models. …”
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Anomaly detection model for multivariate time series based on stochastic Transformer by Weigang HUO, Rui LIANG, Yonghua LI

“…Aiming at the problem that the existing multivariate time series anomaly detection models based on variational autoencoders could not propagate long-term temporal dependencies between stochastic variables in latent space, the stochastic Transformer for MTS anomaly detection (ST-MTS-AD) model which combined Transformer encoder with VAE was proposed.In the inference network of the ST-MTS-AD, the MTS long-term temporal dependent features generated by Transformer encoder and the sampled values of the stochastic variables at the previous moment were inputted into the multilayer perceptron, the approximate posterior distribution of the stochastic variables at the current moment was generated by the multilayer perceptron, and the temporal dependencies between stochastic variables were realized.The gated transition function(GTF) was used to generate the prior distribution of stochastic variables.The generation network of the ST-MTS-AD reconstructed the distribution of the MTS values at each moment by the multilayer perceptron whose input was the MTS long-term temporal dependent features generated by the inference network and the approximate posterior sampling values of stochastic variables.The distribution of normal MTS dataset was learned by the variational inference technology, and the abnormal MTS segment was determined by the log-likelihood of the reconstruction probability.Experiments on four public datasets show that the ST-MTS-AD model significantly improves the F1 score over the typical baseline models.…”
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Independent Origin and Global Distribution of Distinct Plasmodium vivax Duffy Binding Protein Gene Duplications. by Jessica B Hostetler, Eugenia Lo, Usheer Kanjee, Chanaki Amaratunga, Seila Suon, Sokunthea Sreng, Sivanna Mao, Delenasaw Yewhalaw, Anjali Mascarenhas, Dominic P Kwiatkowski, Marcelo U Ferreira, Pradipsinh K Rathod, Guiyun Yan, Rick M Fairhurst, Manoj T Duraisingh, Julian C Rayner

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Distribution of Genetic Determinants Associated with CRISPR-Cas Systems and Resistance to Antibiotics in the Genomes of Archaea and Bacteria by Laura Antequera-Zambrano, Ángel Parra-Sánchez, Lenin González-Paz, Eduardo Fernandez, Gema Martinez-Navarrete

“…This study aimed to characterize and compare the genomic distribution, structural features, and functional implications of CRISPR-Cas systems and associated antibiotic resistance genes in 30 archaeal and 30 bacterial genomes. …”
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Development of a Digital System for Monitoring Emergency Conditions in 20 kV Distribution Networks by Alisher Baltin, Sultanbek Issenov, Gulim Nurmaganbetova, Aliya Zhumadirova, Assel Yussupova, Alexandra Potapenko, Aliya Maussymbayeva

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The Cecal Distribution of Microalgal Pigments in Rats: Do Carotenoids and Chlorophylls Play a Pharmacobiotic Role? by Tatiele Casagrande do Nascimento, Patrícia Acosta Caetano, Marcylene Vieira da Silveira, Luiz Eduardo Lobo, Uashington Da Silva Riste, Mariany Costa Deprá, Maria Rosa Chitolina Schetinger, Cristiano Ragagnin de Menezes, Roger Wagner, Eduardo Jacob-Lopes, Leila Queiroz Zepka

“…This study investigated the cecal distribution of lipophilic pigments (carotenoids and chlorophylls) from <i>Scenedesmus obliquus</i> and their effects on the activity of the intestinal microbiota in rats. …”
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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

“…Abstract In the metric‐based meta‐learning detection model, the distribution of training samples in the metric space has great influence on the detection performance, and this influence is usually ignored by traditional meta‐detectors. …”
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Anterior cruciate ligament microfatigue damage detected by collagen autofluorescence in situ by Jinhee Kim, So Young Baek, Stephen H. Schlecht, Mélanie L. Beaulieu, Lindsay Bussau, Junjie Chen, James A. Ashton‐Miller, Edward M. Wojtys, Mark M. Banaszak Holl

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