Efficacy of Telerehabilitation Protocols for Improving Functionality in Post-COVID-19 Patients by Jose Luis Estela-Zape, Valeria Sanclemente-Cardoza, Leidy Tatiana Ordoñez-Mora

“…Materials and Methods: A systematic review was conducted with registration number CRD42023423678, based on searches developed in the following databases: ScienceDirect, Scopus, Dimensions.ai and PubMed, using keywords such as “telerehabilitation” and “COVID-19”. …”
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Evaluating the performance of transport equations through long-term records of integrative measured bedload data by Andrea Lammer, Rolf Rindler, Michael Tritthart, Marcel Liedermann, Markus Moser, Dorian Shire-Peterlechner, Sabrina Schwarz, Helmut Habersack

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Construction of nitrogen and phosphorus flux of land-based pond mariculture: Taking the Xiangshan Bay as an example by Yiwei Du, Xiaoguang Li, Siru Liu, Tian Lin

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HERITAGE LANGUAGE EDUCATION IN ITALY: FIRST SURVEY AS PART OF A EUROPEAN PROJECT by Giuseppe Sergio

“…Viene infine proposta una panoramica sulle possibilità di proseguire l’apprendimento di lingue ereditarie in Italia, accennando in particolare ai casi del rumeno, del cinese, dello spagnolo, dell’arabo e dell’albanese. …”
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Neural network inspired efficient scalable task scheduling for cloud infrastructure by Punit Gupta, Arnaav Anand, Pratyush Agarwal, Gavin McArdle

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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…Data-driven techniques leverage historical data, AI, and machine learning algorithms to identify degradation trends and predict RUL, which can provide flexible and adaptive solutions. …”
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Challenges and prospects for developing genetic resistance in common wheat against stem rust in Western Siberia by V. N. Kelbin, E. S. Skolotneva, E. A. Salina

“…Wheat resistance genes Sr2, Sr6Ai#2, Sr24, Sr25, Sr26, Sr31, Sr39, Sr40, Sr44, and Sr57 are of practical interest for advanced wheat breeding programs for stem rust immunity in Western Siberia. …”
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EVOH functionalized PE battery separator as the porous substrate for TFC organic solvent nanofiltration membranes by Guoke Zhao, Tian Zhong, Xinkai Li, Hao Yu, Guoyuan Pan, Yang Zhang, Yiqun Liu

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Glufosinate Rate and Timing for Control of Glyphosate-Resistant Rhizomatous Johnsongrass (Sorghum halepense) in Glufosinate-Resistant Soybean by Randall L. Landry, Daniel O. Stephenson, Brandi C. Woolam

“…Treatments included glufosinate (0.5, 0.6, or 0.7 kg ai ha−1) applied alone POST1 (46 cm tall johnsongrass) and sequentially 3 (POST2) or 4 (POST3) wk after POST1 at 0.5 or 0.6 kg ha−1. …”
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Cross-Technology Interference-Aware Rate Adaptation in Time-Triggered Wireless Local Area Networks by Hanjin Kim, Young-Jin Kim, Won-Tae Kim

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Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection by Brij B. Gupta, Akshat Gaurav, Varsha Arya, Shavi Bansal, Razaz Waheeb Attar, Ahmed Alhomoud, Konstantinos Psannis

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A guide to prompt design: foundations and applications for healthcare simulationists by Sara Maaz, Sara Maaz, Janice C. Palaganas, Gerry Palaganas, Maria Bajwa

“…By offering these insights, this paper contributes valuable, timely knowledge for simulationists seeking to leverage generative AI’s capabilities in healthcare education responsibly.…”
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Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model by Jian Chen, Rui Li, Mi Gan, Zhiyan Fu, Fatao Yuan

“…The structural equation modeling (SEM) method was adopted to quantitatively describe the impact of each factor on acceptance intention (AI) as well as the mutual influence relationships between the factors. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…It is made possible by a plethora of modern technologies, such as AI, low-power hardware, and complex computing. Common stages of Autonomous Driving systems are the identification of objects in the scene (Object Detection), and the ability to predict the evolution of the tracked objects’ states – usually, positions and velocities (Multi-Object Tracking). …”
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A systematic review of safety risk assessment research in China by Chao Chen, Jiali Tang, Jie Li, Genserik Reniers, Changjun Li

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Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective by Yun Hu, Joshua Wiley, Lulu Jiang, Xiyi Wang, Ran Yi, Jiehui Xu, Yanyan Liu, Aozhou Weng, Futai Zou, Eun-Ok Im

“…This randomized controlled trial, registered at the Chinese Clinical Trial Registry (ChiCTR2200058823), tests the “AI-TA” program’s efficacy on premature frailty and quality of life in YBCSs. …”
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Targeting quorum sensing for manipulation of commensal microbiota by Zachary Ziegert, Matthew Dietz, Max Hill, Marjais McBride, Elizabeth Painter, Mikael H. Elias, Christopher Staley

“…Abstract Bacteria communicate through the accumulation of autoinducer (AI) molecules that regulate gene expression at critical densities in a process called quorum sensing (QS). …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Addressing these limitations is crucial for enhancing the reliability of AI-driven dose optimization methods. Conclusion: This comprehensive review provides valuable insights into the potential of adaptive learning algorithms for low-dose optimization in coronary artery angiography. …”
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The Entente’s Support for the White Armies in Southern Russia (Late 1918–1919) by G. G. Popov, T. G. Chshiev, O. Yu. Kazenkov

“…The authors concentrate on the interactions between General A.I. Denikin's regime and the British authorities, who were the primary proponents of the Entente's intervention in Russia, as well as the conditions surrounding the involvement of the French armed forces.The research primarily draws on documents from the Russian State Military Archive, created by officers of the White armies of Southern Russia, and the National Archives of Great Britain. …”
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Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images by Alexey Kornaev, Dmitry Lvov, Ilya Pershin, Semen Kiselev, Danil Afonchikov, Iskander Bariev, Bulat Ibragimov

“…Additionally, we have replaced the central points of the indices with landmarks based on the vertebrae, improving the accuracy. The use of AI led to improved accuracy of correct predictions, increasing it from 85.94% to 87.34% for the MOORE coefficient and from 87.55% to 90.67% for the LUPI coefficient.…”
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