Research on Recognition of Motor Imagination Based on Connectivity Features of Brain Functional Network by Zhizeng Luo, Ronghang Jin, Hongfei Shi, Xianju Lu

“…First, the BFN is constructed on the basis of the threshold matrix of the Pearson correlation coefficient of the mu rhythm among the channels. …”
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Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods by Stephen B. Lee

“…As corruption progressed, interval analysis revealed that performance on a valid test set decreased while the model learned to predict better on a poisoned test set. …”
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A systematic performance comparison of two Smooth Pursuit detection algorithms in Virtual Reality depending on target number, distance, and movement patterns by Sarah Christin Freytag, Michelle Kamps, Roland Zechner

“…Learnings of adding the third dimension to the detection algorithms and the role of distractors are discussed and suggestions for future research added. …”
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Insights from in vivo preclinical cancer studies with histotripsy by Tejaswi Worlikar, Timothy Hall, Man Zhang, Mishal Mendiratta-Lala, Michael Green, Clifford S. Cho, Zhen Xu

“…This review highlights key learnings from in vivo shock-scattering histotripsy, intrinsic threshold histotripsy, and boiling histotripsy cancer studies treating cancers of different anatomic locations and discusses the major considerations in planning in vivo histotripsy studies regarding instrumentation, tumor model, study design, treatment dose, and post-treatment tumor monitoring.…”
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A behavioural assay for investigating cued conflict between allocentric and egocentric spatial memory with instinctive escape in mice by Kendall D. Mar, Chanbee So, Jun Chul Kim

“…Escape to a learned shelter was triggered by an innately aversive auditory stimulus in the presence of a proximal LED landmark. …”
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A "Smart" Force-Limiting Instrument for Microsurgery: Laboratory and In Vivo Validation. by Hani J Marcus, Christopher J Payne, Ahilan Kailaya-Vasa, Sara Griffiths, James Clark, Guang-Zhong Yang, Ara Darzi, Dipankar Nandi

“…Residents are required to learn a multitude of skills during their microsurgical training. …”
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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…To design and train the MG-SNN, we propose a new backpropagation method called Dynamic Threshold Multi-frame Spike Time Sequence (DT-MSTS), and establish a dataset for the training and validation of MG-SNN, effectively extracting and updating visual motion features. …”
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Mixed Event-Frame Vision System for Daytime Preceding Vehicle Taillight Signal Measurement Using Event-Based Neuromorphic Vision Sensor by Zhengfa Liu, Guang Chen, Ya Wu, Jiatong Du, Jörg Conradt, Alois Knoll

“…In contrast to most existing work that relies purely on standard frame-based cameras for the taillight signal measurement, the presented mixed event/frame system extracts the frequency domain features from the spatial and temporal signal of each taillight region and measures the taillight signal by combining the active-pixel sensor (APS) frames and dynamic vision sensor (DVS) events. A thresholding algorithm and a learned classifier are proposed to jointly achieve the brake-light and turn-light signal measurement. …”
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Evaluation of parenting interventions for those with additional health and social care needs during pregnancy: THRIVE a multi-arm RCT with embedded economic and process components by Marion Henderson, Anja Wittkowski, Katie Buston, Karen Crawford, Alice MacLachlan, Alex McConnachie, Emma McIntosh, Claudia-Martina Messow, Catherine Nixon, Rosaleen O’Brien, Shona Shinwell, Daniel Wight, Yiqiao Xin, Rachel Calam, Ruth Dundas, James Law, Helen Minnis, Lucy Thompson, Philip Wilson

“…ETPB incorporates social learning principles, with an emphasis on families. …”
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An Improved Model for Online Detection of Early Lameness in Dairy Cows Using Wearable Sensors: Towards Enhanced Efficiency and Practical Implementation by Xiaofei Dai, Guodong Cheng, Lu Yang, Yali Wang, Zhongkun Li, Shuqing Han, Jifang Liu

“…Typical gait features were fused with deep features automatically learned by the network, enabling accurate discrimination among healthy, mild (early) lameness, and severe lameness. …”
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CN2VF-Net: A Hybrid Convolutional Neural Network and Vision Transformer Framework for Multi-Scale Fire Detection in Complex Environments by Naveed Ahmad, Mariam Akbar, Eman H. Alkhammash, Mona M. Jamjoom

“…By leveraging the global context understanding of ViTs and the local feature extraction capabilities of CNNs, the model learns a multi-scale attention mechanism that dynamically focuses on fire regions at different scales, thereby improving accuracy and robustness. …”
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A Transformer–VAE Approach for Detecting Ship Trajectory Anomalies in Cross-Sea Bridge Areas by Jiawei Hou, Hongzhu Zhou, Manel Grifoll, Yusheng Zhou, Jiao Liu, Yun Ye, Pengjun Zheng

“…Preliminary experiments using the POT method validate the feasibility of dynamic thresholding, enhancing the model’s adaptability in complex maritime environments. …”
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Estimating the Economic and Clinical Value of Reducing Antimicrobial Resistance to Three Gram-negative Pathogens in Japan by Tetsuya Matsumoto, Oliver Darlington, Ryan Miller, Jason Gordon, Phil McEwan, Takahisa Ohashi, Amer Taie, Akira Yuasa

“…The model used a 10-year time horizon with a willingness-to-pay threshold of ¥5 000 000 (US $46 827) and discounting was applied at a rate of 2% to costs and benefits. …”
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Energy-Environmental Analysis of Retrofitting of a Chilled Water Production System in an Industrial Facility—A Case Study by Tomasz Mróz, Kacper Fórmaniak

“…It was found that increasing the co-generation ratio for the CHP plant powering the pharmaceutical factory resulted in lower consumption of primary energy in variants in which the cooling energy supply system was retrofitted based on absorption water chillers. The threshold values of the co-generation ratio were e = 0.37 for Variant 1 and e = 0.34 for Variant 2. …”
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mPFC DCC coupling with CaMKII+ neuronal excitation participates in behavioral despair in male mice by Ping Cheng, Keke Ding, Daokang Chen, Chen Yang, Juan Wang, Shaojie Yang, Ming Chen, Guoqi Zhu

“…Abstract A longed lack of control over harmful stimuli can lead to learned helplessness (LH), a significant factor in depression. …”
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Redefining Object Detection for Open-World Settings: A Framework for Simultaneous Identification of Known and Unknown Classes by Muhammad Ali Iqbal, Yeo Chan Yoon, Soo Kyun Kim

“…The framework integrates a dynamic thresholding mechanism a customized loss function and statistical verification technique optimize the simultaneous detection of both known and unknown objects. …”
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S-I-R Model and COVID-19 Data-Based Numerical Ro Estimation for Pandemic Modeling by Fayzan Ahmed, Majid Iqbal, Arshad Iqbal, Zaheer Uddin

“…The factor Ro, known as the reproductive number, can be considered as a threshold value for the disease to be an epidemic. …”
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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

“…Convolutional neural network has been proven to learn rich local features from PolSAR data. However, convolution kernels with limited receptive fields have difficulty in exploring global information. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…We hope that these lessons learned will be beneficial to future treatment researchers. …”
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Cheminformatics approaches to predict the bioactivity and to discover the pharmacophoric traits crucial to block NF-κB by Rahul D. Jawarkar, Suraj N. Mali, Rahul G. Ingle, Sami A. Al-Hussain, Aamal A. Al-Mutairi, Prashant Deshmukh, Magdi E.A. Zaki

“…The OECD guidelines guided the construction of the QSAR model, which achieved all the endorsed threshold values for all validation parameters (R2tr:0.81, R2LMO:0.80, and R2ext:0.78). …”
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