Dose–response relationship of treadmill perturbation-based balance training for improving reactive balance in older adults at risk of falling: results of the FEATURE randomized controlled pilot trial by Natalie Hezel, Theresa Buchner, Clemens Becker, Jürgen M. Bauer, Lizeth H. Sloot, Simon Steib, Christian Werner

“…Abstract Background The inability to appropriately react to balance perturbations is a common cause of falls. Perturbation-based balance training (PBT) is especially beneficial for improving reactive balance and shows high potential for fall prevention. …”
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FFT Consolidated Feature Space Methods for Image Ｒepresentation by SUN Ling, CHEN De-yun, LI Ao, FU Lijun, YANG Ｒun, YU Liang

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Establishing the VR-haptic thinkers group: Insights and progress in dental training technologies by Szabolcs Felszeghy, Mikko Liukkonen, Nicla Flacco, Mahmoud M. Bakr, Sarah Rampf, Simona-Georgiana Schick, Maria F. Sittoni-Pino, Kristin Ackerman, Santiago Arias-Herrera, Ben Audsley, Santiya Bell, Samantha Byrne, Giorgia Carpegna, Mark R. Durham, Kandace Gourley, Outi Huhtela, Hanna Hytönen, Carlos López-Roig, David Morton, Masako Nagasawa, Cesar Orsini, Damiano Pasqualini, Amitha Ranauta, María P. Rodríguez-Hopp, Anna L. Suominen, Jorge A. Tricio-Pesce, Michael Wolcott, Muhammad A. Shazib, Thomas J. Greany, Michael Lampe, Margrit Maggio, Sompop Bencharit, Rebecca Stolberg, Gülsün Gül, Barry Quinn, Murat Mutluay

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Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach by Hadi Farhadi, Hamid Ebadi, Abbas Kiani, Ali Asgary

“…This study aims to develop an NRT flood mapping approach using supervised classification based on spectral features. The method automatically generates training samples through masks derived from spectral indices. …”
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Efficient multi‐perspective jamming feature perception network for suppressive jamming recognition with limited training samples by Minghua Wu, Yupei Lin, Dongyang Cheng, Xiaohai Zou, Bin Rao, Wei Wang

“…To address these challenges, the authors propose a jamming recognition method based on an efficient multi‐perspective jamming feature perception network. …”
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TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs by Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Irida Shallari, Silvia Krug, Isaac Sanchez Leal, Mattias O'Nils

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The efficacy of practical skills mastering by students pharmacists during compounding practical training by L. O. Puchkan

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Blended Phonetic Training with HVPT Features for EFL Children: Effects on L2 Perception and Listening Comprehension by KyungA Lee, Hyunkee Ahn

“…The current study investigates the impact of the blended phonetic training program incorporating HVPT features on enhancing L2 perception and listening comprehension skills in Korean elementary EFL learners. …”
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THE FEATURES OF POST-GRADUATE DENTAL TRAINING AT THE DEPARTMENT OF POSTGRADUATE EDUCATION OF DENTISTS OF THE UKRAINIAN MEDICAL STOMATOLOGICAL ACADEMY by K. Udaltsova-Hrodzynska, O. Pisarenko

“…At the moment of establishing the Department the features of practical dental training included the maintenance of organized and decreed groups of population by the advanced principle of dispanserization, and also provided physical therapy in dentistry. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

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Comparative Efficacy of Resilience Training and Acceptance and Commitment-Based Training on Happiness in Employees of Shiraz Oil Subsidiaries by Pegah Adiby Parsa, Naser Amini, Khosro Ramezani, Mohammad Behroozi

“…Objective: The primary objective of the current investigation was to evaluate the comparative efficacy of resilience training versus acceptance and commitment-based training on the happiness of employees affiliated with Shiraz oil subsidiaries. …”
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Distinct Views Improve Generalization and Robustness: Combinations of Augmentations With Different Features by Keon Kim, Hyun Woo Kim, Yong Suk Choi

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Dental Identification Based on Single Tooth Feature Concatenation by Li Yuan, Luoji Zhu, Kang-Hyun Jo, Yanfeng Li

“…To address the challenges of difficult samples with fewer teeth, a progressive random tooth dropout training strategy is devised to aid learning. For inadequate discrimination of individual tooth features, PointResNet is introduced as a feature extraction module. …”
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AGRICULTURAL ENTERPRISES IN BULGARIA: STRUCTURAL FEATURES AND DEVELOPMENT by T. Atanassova-Kalaydzhievа

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Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training by Qiuji Zhou, Yongde Guo, Wenjian Liu, Yifeng Liu, Yanzhen Lin

“…To address these issues, we propose a novel deep learning framework for DR that incorporates self-paced progressive learning, introducing training samples from simple to complex, and randomized multi-scale image reconstruction for enhanced data augmentation and feature extraction. …”
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Classification of Brain Tumor by Combination of Pre-Trained VGG16 CNN by Ouiza Nait Belaid, Malik Loudini

“…In this paper, we propose deep learning techniques based on the combinations of pre-trained VGG-16 CNNs to classify three types of brain tumors (i.e., meningioma, glioma, and pituitary tumor). …”
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Features of the Development of an Engineer’s Thinking in the Course of Training at a University (Using the Example of Studying the Discipline “Engineering Graphics”) by V. I. Vaulin, S. A. Singeev, N. I. Filonchik, S. V. Vaulin

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Research on adversarial examples defense method based on multi-modal feature fusion by WEI Xuanxuan, LIU Wanping, LU Ling

“…Subsequently, a pre-trained TF-IDF model was employed to extract feature matrices from the textual descriptions, and a ResNet50 model was used to extract image features. …”
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Transportation scene recognition based on high level feature representation by Wenhua LIU, Yidong LI, Tao WANG, Jun WU, Yi JIN

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Enhancing Object Detection in Underground Mines: UCM-Net and Self-Supervised Pre-Training by Faguo Zhou, Junchao Zou, Rong Xue, Miao Yu, Xin Wang, Wenhui Xue, Shuyu Yao

“…Building upon this foundation, we propose UCM-Net, a detection model based on the YOLO architecture. Furthermore, a self-supervised pre-training method is introduced to generate mine-specific pre-trained weights, providing the model with more semantic features. …”
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