Virtual Reality as a Perceptual-Motor Training Tool: Validity and Fidelity Assessments of a 4 × 100 m Relay Simulator by Martin Egiziano, Loïc Chomienne, Valentin Hervet, Nicolas Mascret, Richard Kulpa, Gilles Montagne

“…Despite few differences being found in workload, these results largely support the simulator’s validity and fidelity, which is an important step towards integrating the simulator into the training protocols of elite athletes.…”
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Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries by Polina Lemenkova

“…As a result of the ranking performed in step 5, slopes were classified into five classes based on the calculated tangent angles: strong, very strong, extreme, steep, very steep. …”
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Intangible Capital: Digital Colors in Romanesque Cloisters by Adriana Rossi, Sara Gonizzi Barsanti, Silvia Bertacchi

“…The methodology goes beyond the contingent aspect by encouraging the ‘remediation’ of contents with the help of machine learning.…”
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Low-power quasi-continuous hybrid volatile/nonvolatile tuning of ring resonators by Jayita Dutta, Rui Chen, Virat Tara, Arka Majumdar

“…Our demonstration of low-voltage and low-energy operation, combined with the hybrid volatile–nonvolatile approach, marks a significant step toward integrating PCM-based programmable units in large-scale optical interconnects.…”
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Intratumor heterogeneity related signature for clinical outcome and immunotherapy advantages in lung adenocarcinoma by Yanhua Zuo, Li Lin, Libo Sun

“…Results The optimal predictive signature for LUAD cases was the IRS developed using Lasso + stepCox(both) method, which had the highest average C-index of 0.80. …”
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Mitigating spatial hallucination in large language models for path planning via prompt engineering by Hongjie Zhang, Hourui Deng, Jie Ou, Chaosheng Feng

“…To address this, we propose S2ERS, an LLM-based technique that integrates entity and relation extraction with the on-policy reinforcement learning algorithm Sarsa for optimal path planning. …”
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A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…In this research, as a preliminary study on rail break detection system, a deep learning-based discontinuous rail position classification method, which is using vibration data obtained from distributed acoustic sensing (DAS) system during train operation, is proposed. …”
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Cloud Removal Advances: A Comprehensive Review and Analysis for Optical Remote Sensing Images by Jin Ning, Lianbin Xie, Jie Yin, Yiguang Liu

“…The discussed methods include physical modeling, deep learning, multispectral analysis, and synthetic aperture radar (SAR) fusion strategies. …”
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Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights by Nurafni Damanik, Chuan-Ming Liu

“…Overall, the proposed approach marks a notable step in protecting financial transactions from fraud.…”
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Evaluating the Impact of Frequency Decomposition Techniques on LSTM-Based Household Energy Consumption Forecasting by Maissa Taktak, Faouzi Derbel

“…Accurate energy consumption forecasting is essential for efficient power grid management, yet existing deep learning models struggle with the multi-scale nature of energy consumption patterns. …”
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Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network by Yang Yang, Lin Yang, Bo Wu, Gang Yao, Hang Li, Soltys Robert

“…Twenty-nine models have been compared and analyzed by using hidden layer, initial learning rate, batch size, activation function, and optimization method. …”
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KRAS, NRAS, and BRAF mutation prevalence, clinicopathological association, and their application in a predictive model in Mexican patients with metastatic colorectal cancer: A retr... by Hector Eduardo Sanchez-Ibarra, Xianli Jiang, Elena Yareli Gallegos-Gonzalez, Adriana Carolina Cavazos-González, Yenho Chen, Faruck Morcos, Hugo Alberto Barrera-Saldaña

“…This study could be the first step in the prediction for RAS/BRAF mutational status from tumoral features and could lead the way to a more detailed and more diverse dataset that could benefit from machine learning methods.…”
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Intra- and Interorganizational Barriers to Blockchain Adoption: A General Assessment and Coping Strategies in the Agrifood Industry by Horst Treiblmaier, Abderahman Rejeb, Remko van Hoek, Mary Lacity

“…In this paper we first explore barriers that organizations need to overcome to successfully deploy blockchain technology. In a second step, we investigate the agrifood industry and highlight differences in coping strategies between incumbents and start-ups. …”
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A multi-scale local attention mechanism for aspect extraction by Qian Yang, Jinsen Zhu, Hongyu Du, Haoran Xia, Sisi Shao, Chen Yuan, Wengtao Wang, Yimu Ji

“…Abstract Aspect extraction is a critical step in constructing knowledge graphs and involves extracting aspect information from unstructured text. …”
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How Did the Fever Visit Management Policy During the COVID-19 Epidemic Impact Fever Medical Care Accessibility? by Zhiyuan Zhao, Youjun Tu, Yicheng Ding

“…To fill this gap, we adjusted the Gaussian-based two-step floating catchment area method (G2SFCA) by considering the hourly dynamics of the population distribution derived from mobile phone location data. …”
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Real-Time Instance Segmentation Models for Identification of Vehicle Parts by Abdulmalik Aldawsari, Syed Adnan Yusuf, Riad Souissi, Muhammad AL-Qurishi

“…Moreover, in the repair industry, identifying a particular part is the first step in obtaining an accurate labor and part assessment, where the presence of different car models, shapes, and sizes makes the task even more challenging for a machine-learning model to perform well. …”
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Optimizing Genomic Selection Methods to Improve Prediction Accuracy of Sugarcane Single-Stalk Weight by Zihao Wang, Chengcai Xia, Yanjie Lu, Qi Liu, Meiling Zou, Fenggang Zan, Zhiqiang Xia

“…Initially, we compared the performance of five prediction approaches, including genomic best linear unbiased prediction (GBLUP), single-step genomic best linear unbiased prediction (SSBLUP), Bayes A, machine learning (ML), and deep learning (DL) approaches. …”
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Smart diabetes management: remote monitoring and predictive health insights by K.S. Smelyakov, I.A. Lurin, K.V. Misiura, A.S. Chupryna, T.V. Tyzhnenko, O.D. Dolhanenko, V.M. Repikhov

“…GluComp integrates CGM systems with personalized machine learning models to deliver real-time alerts, predictive insights, and adaptive care. …”
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New paths towards sustainable rural development: lessons from Southeastern Anatolia region development plan in Turkey by Bulent Acma

“…And, in the last step, in order to complete project in time planned, what should be done and lessons learned from the process will be analyzed. …”
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Evaluation of Arabic lesson teaching in higher education based on the Kirkpatrick model by Ali Akbar Mollaie, Mohammad Aslam Raiesi

“…Therefore, evaluating and guaranteeing the quality of the performance of higher education units as an important step to achieve competitiveness is always on the policy agenda, and monitoring global developments in higher education evaluation in order to identify trends and events in this field is an effective step in evaluating higher education in Iran and consequently the country's sustainable development (Gabriela et al, 2022). …”
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