The effect of combined compression and tactile stimulation on ankle somatosensation in a lunar gravity lower limb load analog by Ashleigh Marchant, Jeremy Witchalls, Sarah B. Wallwork, Nick Ball, Gordon Waddington

“…In the medium and high-performer groups, there was no difference between the compression-tactile sock conditions and barefoot conditions (p > 0.05 for all). …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…A feature importance study is conducted using a decision tree algorithm, which selects only the most significant features to reduce computational complexity.ResultFeature classification is then performed using various machine learning and deep learning algorithms, including Support Vector Machines (SVM), Multi-Layer Perceptron (MLP), Cascade Correlation, GMDH Polynomial Neural Networks, and Linear Discriminant Analysis Among these classifiers, Probabilistic Neural Networks (PNN) consistently deliver the best results as 91.25% under 1,400 rpm.DiscussionBased on these findings, the Probabilistic Neural Network algorithm is identified as a robust and reliable prediction model for monitoring FSW tool conditions.…”
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Survey of Quantum Generative Adversarial Networks (QGAN) to Generate Images by Mohammadsaleh Pajuhanfard, Rasoul Kiani, Victor S. Sheng

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Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography by Miyu Ohata, Ryohei Fukui, Yusuke Morimitsu, Daichi Kobayashi, Takatsugu Yamauchi, Noriaki Akagi, Mitsugi Honda, Aiko Hayashi, Koshi Hasegawa, Katsuhiro Kida, Sachiko Goto, Takao Hiraki

“…It is known that the reconstruction conditions of CT images affect the analysis results when performing radiomic analysis. …”
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A Dual-Attentive Multimodal Fusion Method for Fault Diagnosis Under Varying Working Conditions by Yan Chu, Leqi Zhu, Mingfeng Lu

“…Secondly, a three-branch multiscale CNN is developed for discriminative feature learning to consider nonstationary factors. …”
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Screening 215 Lentil Genotypes under Salinity Stress During the Seedling Stage in Greenhouse Conditions by Ahmad Nezami, jafar Nabati, Mohammad Kafi, Elahe Boroumand Rezazadeh

“…Cluster analysis using the Ward method, factor analysis, correlation between traits, and the by-plot were performed on the data. The performed grouping was validated through a multivariate analysis of variance and discriminant function analysis. …”
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Contextual Influence on Pattern Separation During Encoding by Laura García-Rueda, Claudia Poch, Joaquín Macedo-Pascual, Pablo Campo

“…Similarly to previous studies, we found no interaction between judgments and contexts, and participants were able to discriminate between old and lure items at the behavioral level in both conditions. …”
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Retinal-Image Quality and Night-Vision Performance after Alcohol Consumption by José J. Castro, Antonio M. Pozo, Manuel Rubiño, Rosario G. Anera, Luis Jiménez del Barco

“…To evaluate the influence of alcohol consumption on the retinal-image quality and visual performance under surrounding low-illumination conditions. …”
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SSCD-YOLO: Semi-Supervised Cross-Domain YOLOv8 for Pedestrian Detection in Low-Light Conditions by Fangliang Cao, Kai Yan, Hongliang Chen, Zhen Wang, Yunliang Du, Zekang Zheng, Kefan Li, Baozhu Qi, Mingjia Wang

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Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation by Thanh-Dung Le, Rita Noumeir, Jerome Rambaud, Guillaume Sans, Philippe Jouvet

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Development and validation of an image-based questionnaire ARTROVIS to identify risk factors for the articular syndrome and related conditions by Olga A. Georginova, Aleksandra D. Savina, Tatyana N. Krasnova, Lyalya A. Gabbasova, Artashes G. Armaganov

“…Aim: To develop, validate and test a questionnaire to identify risk factors for joint disorders and related conditions. Methods: From November 2022 to April 2024, we performed the study on the image-based questionnaire on identification of the risk factors for joint syndromes and associated conditions (ARTROVIS), which we have developed for early detection of both joint syndromes, as well as comorbid conditions associated with elevated serum uric acid levels (hyperuricemia). …”
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Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory... by Sangin Park, Jihyeon Ha, Laehyun Kim

“…The Hybrid-condition II paradigm provided high concentration and discrimination to poor performers in the motor imagery-based brain-computer interface and generated the enhanced event-related desynchronization pattern in three modalities corresponding to different types of somatosensory stimuli in motor and somatosensory regions compared to the Control-condition and Hybrid-condition I. …”
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A Search-Based Domain Adaptation Network for Fault Diagnosis of Rotating Machinery Under Cross-Operating Conditions by Jiaqi Zhang, Hua Sun, Tong Yuan

“…Experimental results on two datasets under varying operating conditions validate the cross-domain diagnostic performance of the proposed method. …”
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Hybrid LDA-CNN Framework for Robust End-to-End Myoelectric Hand Gesture Recognition Under Dynamic Conditions by Hongquan Le, Marc in het Panhuis, Geoffrey M. Spinks, Gursel Alici

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Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis by Jonathan Hourmozdi, MD, MSAI, MA, Nicholas Easton, MSAI, Simon Benigeri, MSAI, James D. Thomas, MD, Akhil Narang, MD, David Ouyang, MD, Grant Duffy, BS, Ross Upton, PhD, Will Hawkes, PhD, Ashley Akerman, PhD, Ike Okwuosa, MD, Adrienne Kline, MD, PhD, Abel N. Kho, MD, Yuan Luo, PhD, Sanjiv J. Shah, MD, Faraz S. Ahmad, MD, MS

“…Background: Delays in the diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) contribute to the significant morbidity of the condition, especially in the era of disease-modifying therapies. …”
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Performance Improvement of Ensemble Empirical Mode Decomposition for Roller Bearings Damage Detection by Ali Akbar Tabrizi, Luigi Garibaldi, Alessandro Fasana, Stefano Marchesiello

“…The number of real vibration signals is analysed to verify effectiveness and robustness of the proposed method in discriminating and separating the faulty conditions.…”
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Analysis of the influence of bromazepam on cognitive performance through the visual evoked potential (P300) Análise da influência do bromazepam na performance cognitiva através do... by Fernanda Puga, Heloisa Veiga, Maurício Cagy, Kaleb McDowell, Roberto Piedade, Pedro Ribeiro

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A validation study of three early warning scores in early identification of gastric cancer patients with deteriorating condition after gastrectomy by Xinli Shi, Huijuan Jie, Naifa Li, Qiongshan Liu, Yue Wang, Changquan Wu, Wenwen Jiang, Bolin Zhang, Shurong Lai, Honglu Xu

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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

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The Impact of Simulated Spectral Noise on Random Forest and Oblique Random Forest Classification Performance by Na’eem Hoosen Agjee, Onisimo Mutanga, Kabir Peerbhay, Riyad Ismail

“…Hyperspectral datasets contain spectral noise, the presence of which adversely affects the classifier performance to generalize accurately. Despite machine learning algorithms being regarded as robust classifiers that generalize well under unfavourable noisy conditions, the extent of this is poorly understood. …”
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