Effects of Periodic Task-Specific Test Feedback on Physical Performance in Older Adults Undertaking Band-Based Resistance Exercise by Ryuichi Hasegawa, Mohammod Monirul Islam, Ryuji Watanabe, Naoki Tomiyama, Dennis R. Taaffe

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The role of IELTS teacher’s metapathy in IELTS candidates’ overall band score, language learning orientation, and active/passive motivation by Hamed Ghaemi, Robert Kirkpatrick

“…Ten IELTS teachers from five language training centers and 100 IELTS candidates participated in the mixed methods design. …”
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An Experimental Investigation into the Difference in the External Noise Behavior of a High-Speed Train between Viaduct and Embankment Sections by Muxiao Li, Tiesong Deng, Di Wang, Fan Xu, Xinbiao Xiao, Xiaozhen Sheng

“…Acoustic experiments were conducted on both viaduct and embankment sections by using a microphone array having 78 channels, to distinguish the effects of two types of track structures on the sound fields around these, identify the sources, and determine the contribution and distribution of each part of the train. The quantized sound power contribution of each region on the train surface determined using the identification results obtained from the experiments and analysis shows that the main noise sources of the train are located in three regions: the lower parts, bogie, and train body. …”
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Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network by Young-A Oh, DaeHyung Lee, Sung-Hwa Jung, Kyung-Yeub Nam, GyuWon Lee

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Does protruding headless cannulated screw reduce fixation stability in tension band wiring technique for patella fractures? a biomechanical study by Mehmet Maden, Omer Berkay Bayraktar, Tayfun Bacaksiz, Ihsan Akan, Bora Uzun, Cemal Kazimoglu

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The Application and Development Trends of Wearable Devices (WD) in Endurance Sports Training: A Literature Review by Tingran Zhang, mufan Zhang, Jiong Luo

“… Collecting and organizing information on the application of technology products such as wearable devices, intelligent training, and the Internet of Things (IoT) in endurance sports training from 2005 to 2023, it was found that wearable devices, heart rate bands, bicycle power devices, intelligent training device applications, and sports community platforms can be connected through the Internet of Things, and data can be automatically shared, Furthermore, provide feedback on the workload and training effectiveness of sports training; The long-distance supervision and virtual coaching system of real coaches support direct interaction between athletes and real coaches, which can promote athletes' training motivation, improve sports performance, and have a good positive effect on enhancing athletes' completion of training plans; Intelligent wearable equipment can accurately provide HR and HRV parameters, based on which training load and maximum oxygen uptake can be evaluated, providing a basis for adjusting training strategies and ensuring maximum training benefits. …”
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Improved Training Sequence Channel Estimation Scheme in 16QAM MB-OFDM UWBoF System by Changqing Xiang, Xi Yang, Xuan Zhou, Xiaojun Zhu, Jincan Xu, Qiong He

“…In this paper, an improved channel estimation scheme based on time-domain orthogonal gray complementary training sequence (Golay TS) is proposed to resist subcarrier mutual beat interference in 16-quadrature amplitude modulation multiband orthogonal-frequency-division-multiplexing ultrawide band over fiber (16QAM MB-OFDM UWBoF) systems. …”
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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

“…The forthcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission, with its 12-day global revisit cycle and 1.25 GHz L-band frequency, introduces a promising avenue for cost-effective, large-scale snow depth and snow water equivalent (SWE) estimation using L-band Interferometric SAR (InSAR) capabilities. …”
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Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study by Juan L. Terrasa, Guzmán Alba, Ignacio Cifre, Beatriz Rey, Pedro Montoya, Miguel A. Muñoz

“…The aim of this study was to investigate the enhanced performance and changes in EEG power spectral density at somatosensory cerebral areas due to a bidirectional modulation-based SMR neurofeedback training. Furthermore, we also analyzed the functional changes in somatosensory areas during resting state induced by the training as exploratory procedure. …”
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Interindividual Variability Response to Resistance and High-Intensity Interval Training on Blood Pressure Reduction in Hypertensive Older Adults by Johnattan Cano-Montoya, Nicolas Hurtado, Carolina Núñez Vergara, Sebastián Báez Vargas, Marcela Rojas-Vargas, Sergio Martínez-Huenchullán, Cristian Alvarez, Mikel Izquierdo

“…Background: This study evaluated the effects of resistance training (RT) and high-intensity interval training (HIIT) on systolic (SBP) and diastolic blood pressure (DBP) in hypertensive older adults undergoing pharmacological therapy over four and eight weeks. …”
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Data on compositional diversity of textural varieties of lake superior-type Banded Iron Formation (BIF) of the Njweng prospect, Mbalam iron ore district, southern CameroonMendeley... by Dieudonne Charles Isidore Ilouga, Cheo Emmanuel Suh, Akumbom Vishiti, Elisha Muntum Shemang

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The effect of a combined long‐duration static stretching and resistance training regimen on a competitive bodybuilder: A case study by Kai A. Homer, Eric R. Helms, Alyssa‐Joy Spence

“…Abstract Both resistance training (RT) and long‐duration, high‐intensity stretching induce muscular adaptations; however, it is unknown whether the modalities are complementary or redundant, particularly in well‐trained individuals. …”
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Effects of Strength Training on Muscle Properties, Physical Function, and Physical Activity among Frail Older People: A Pilot Study by Atle Hole Saeterbakken, Hilde Bremseth Bårdstu, Anine Brudeseth, Vidar Andersen

“…Thirty participants were randomly assigned (by sex) to a control group (CON) or a strength training group (ST) performing a supervised training programme using elastic bands, box-lifting, and body weight exercises twice per week. …”
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Neuroplastic Effects of Combined Computerized Physical and Cognitive Training in Elderly Individuals at Risk for Dementia: An eLORETA Controlled Study on Resting States by Charis Styliadis, Panagiotis Kartsidis, Evangelos Paraskevopoulos, Andreas A. Ioannides, Panagiotis D. Bamidis

“…Cognitive function was assessed before and after intervention using a battery of neuropsychological tests including the minimental state examination (MMSE). A significant training effect was identified only after the combined training scheme: a decrease in the post- compared to pre-training activity of precuneus/posterior cingulate cortex in delta, theta, and beta bands. …”
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Effect of Transcranial Direct-Current Stimulation and Task-Oriented Training on Electroencephalography-Based Motor Recovery Chronic Stroke: A Randomized Clinical Trial by Maryam Zolghadr, Shohreh Noorizadeh Dehkordi, Javad Sarrafzadeh, Saeed Talebian, Hassan Haddadzade Niri, Marzieh Yassin

“…Additionally, the Friedman test revealed a significant decrease in alpha and beta bands’ relative powers in the healthy hand of the control group at follow-up (P=0.001). …”
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Auditory steady state response can predict declining EF in healthy elderly individuals by Xiaopeng Mao, Xiaopeng Mao, Nelly Shenton, Sadasivan Puthusserypady, Martin Johannes Lauritzen, Krisztina Benedek

“…These neurophysiological changes were correlated with poorer EF, as measured by the Stockings of Cambridge (SOC) task. The ViTs trained and cross-validated on time-frequency-transformed Electroencephalograms (EEGs) achieved an average cross-subject accuracy of 51.8% in identifying cognitive decline.ConclusionGamma-band ASSR characteristics are linked to early cognitive decline in middle-aged individuals, offering potential as biomarkers. …”
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The effect of positive interspike interval correlations on neuronal information transmission by Sven Blankenburg, Benjamin Lindner

“…For these simplified neuron models we analytically calculate ISI density and power spectrum of the spontaneous spike train as well as approximations for input-output cross-spectrum and spike-train power spectrum in the presence of a broad-band Gaussian stimulus. …”
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Multi‐subband fusion algorithm based on autoencoder by Yilin Jiang, Liting Zhang, Li Li, Jinxin Li, Yaozu Yang

“…This autoencoder comprises two parts: a multi‐subband encoder and a full‐band decoder. Full‐band echo distance envelopes are used as training data for the full‐band autoencoder, to obtain the full‐band coding and the full‐band decoder. …”
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Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

“…We also demonstrate the use and discuss the validation of the vibration prediction tool for the case of a high-speed train running on a ballasted track in Lincent (Belgium).…”
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Surveying Nearshore Bathymetry Using Multispectral and Hyperspectral Satellite Imagery and Machine Learning by David Hartmann, Mathieu Gravey, Timothy David Price, Wiebe Nijland, Steven Michael de Jong

“…The U-Net, trained on 49 Sentinel-2 images, and the 2D-3D CNN, trained on PRISMA imagery, had a Mean Absolute Error (MAE) of approximately 1 m for depths up to 20 m and were superior to band ratio models by ~40%. …”
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