Collaborative offloading computing scheme based on energy harvesting technology by WANG Jun, ZHAO Haodong

“…In recent years, the energy requirements for devices in internet of things (IoT) applications have increased, making energy harvesting (EH) technology an important way to alleviate the energy shortage problem in edge computing and extend the battery life of devices. However, when there was insufficient renewable energy in the environment, the depletion of device power can cause task interruption and affect the performance of IoT. …”
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Application of Blockchain in Corporate Governance: Adaptability, Challenges and Regulation in BRICS by S. Kanojia

“…The digital revolution has changed many facets of daily life over the past few decades. Think about how personal computers and smartphones are becoming more powerful and smaller, how the Internet has spread throughout the world and led to the emergence of new forms of social interaction, and how there is always access to massive volumes of automated algorithms processing cloud-based data that is utilised in a number of settings. …”
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Implementation of smart devices in health crisis scenarios: risks and opportunities by Roberto Losada Maestre, Rubén Sánchez Medero

“…Tasks such as triage, diagnosis, or determining a patient’s life-threatening risk are some of the applications we can delegate to algorithms. …”
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Preventing market collapse in auctions for perishable Internet of Things resources by Maria B Safianowska, Robert Gdowski, ChingYao Huang

“…We are entering the era of digital business moments where autonomous things will buy and sell services from each other in order to make people’s life easier. They will also negotiate in order to achieve the best price for their services which will result in Internet of Things auctions. …”
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Is It Possible to Maintain Consciousness and Spontaneous Ventilation with Chest Compression in the Early Phase of Cardiac Arrest? by Menekse Oksar, Selim Turhanoglu

“…Chest compression is important in cardiopulmonary resuscitation. However, life support algorithms do not specify when chest compression should be initiated in patients with persistent spontaneous normal breathing in the early phase after cardiac arrest. …”
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BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data by Md. Naimul Islam Nuhash, Sadia Akter

“…It also offers a benchmark for developing robust algorithms for banknotes' real-life applications in banks, mobile payment systems, and ATMs. …”
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Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing by Junglim Choi, Junglim Choi, Sungnam Kim, Hyunsoo Ahn, Donghyo Kim, Sung-Won Cho, Sanguk Kim, Sanguk Kim, Sanguk Kim, Jae Hoon Lee

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Efficacy of cognitive rehabilitation in cognition and brain networks: A randomised clinical trial in patients with multiple sclerosis by E. Lopez-Soley, E. Martinez-Heras, F. Vivo, A. Calvi, S. Alba-Arbalat, L. Romero-Pinel, S. Martínez-Yélamos, C. Ramo-Tello, S. Presas-Rodríguez, E. Munteis, J.E. Martínez-Rodríguez, J. Sastre-Garriga, E. Anglada, E.R. Meza-Murillo, M.J. Arévalo, R. Sánchez-Carrión, R. Pelayo, M. Bernabeu, N. Sola-Valls, M. Hervas, M. Sepulveda, A. Saiz, Y. Blanco, E. Solana, S. Llufriu

“…Brain MRI pre- and post-CR were analysed using an advanced tractography algorithm, based on multishell diffusion MRI, to obtain node-based graph metrics (local efficiency and strength) from microscopic fractional anisotropy. …”
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A MODEL OF THE ENGLISH-UKRAINIAN SUB-CORPUS OF TEXTS OF NATO, UN AND WTO OFFICIAL AND BUSINESS DOCUMENTS by Yuliya I. Demyanchuk

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A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing by Hardi Sabah Talabani, Ihsan Hamza Jumaa

“… The employ of Internet of Things has become an integral part of our daily life, especially in developed countries and societies, which in turn are considered to be one of the basic areas on which the mechanisms of their work depend to a large extent the applications of algorithms used in the field of machine learning are available due to the high accuracy that characterizes these applications and the margin of safety that these techniques offer. …”
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Population Structure of the Invasive Asian Tiger Mosquito, Aedes albopictus, in Europe by Margaret K. Corley, Luciano Veiga Cosme, Peter A. Armbruster, Nigel Beebe, Anna Bega, Sebastien Boyer, Beniamino Caputo, Chun‐Hong Chen, Jacob E. Crawford, Alessandra dellaTorre, Roger Eritja, Michael C. Fontaine, Richard J. Gill, Trang Huynh, Perparim Kadriaj, Kevin Maringer, Ademir Jesus Martins, Andrew Maynard, Shomen Mukherjee, Leonard E. Munstermann, Verena Pichler, Maria Sharakhova, Sinnathamby Noble Surendran, Sandra Urbanelli, Enkelejda Velo, Isra Wahid, Muhammet Mustafa Akiner, Georgios Balatsos, Gilles Besnard, Maria Louise Borg, Daniel Bravo‐Barriga, Rubén Bueno Marí, Francisco Collantes, Cintia Horvath, Mihaela Kavran, Raquel Medialdea‐Carrera, Tanya Melillo, Antonios Michaelakis, Ognyan Mikov, Arianna Puggioli, Elton Rogozi, Francis Schaffner, Kayleigh Hackett, Thomas Johnson, Tina Wu, João Pinto, Vera Valadas, Adalgisa Caccone

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Xpert Ultra stool testing to diagnose tuberculosis in children in Ethiopia and Indonesia: a model-based cost-effectiveness analysis by Peter J Dodd, Nyashadzaishe Mafirakureva, Rina Triasih, Debebe Shaweno, Jens Levy, Eveline Klinkenberg, Petra de Haas, Ineke Spruijt, Nastiti Kaswandani, Ahmed Bedru, Melaku Gebremichael, Edine W Tiemersma

“…Health outcomes were based on modelled mortality and discounted life-years lost.Results The intervention increased the sensitivity of TB diagnosis by 19–25% in both countries leading to a 14–20% relative reduction in mortality. …”
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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

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Precision Weed Control Using Unmanned Aerial Vehicles and Robots: Assessing Feasibility, Bottlenecks, and Recommendations for Scaling by Shanmugam Vijayakumar, Palanisamy Shanmugapriya, Pasoubady Saravanane, Thanakkan Ramesh, Varunseelan Murugaiyan, Selvaraj Ilakkiya

“…Specifically, robotic weed control adoption is hindered by challenges in weed recognition, navigation complexity, limited battery life, data management (connectivity), fragmented farms, high costs, and limited digital literacy. …”
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A machine learning-based depression risk prediction model for healthy middle-aged and older adult people based on data from the China health and aging tracking study by Fang Xia, Jie Ren, Linlin Liu, Yanyin Cui, Yufang He

“…Several machine learning algorithms, including logistic regression, k-nearest neighbor, support vector machine, multilayer perceptron, decision tree, and XGBoost, were employed to predict the 2-year depression risk. …”
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Continuous heart rate measurements in patients with cardiac disease: Device comparison and development of a novel artefact removal procedure by Paulien Vermunicht, Katsiaryna Makayed, Christophe Buyck, Lieselotte Knaepen, Juan Sebastian Piedrahita Giraldo, Sebastiaan Naessens, Wendy Hens, Emeline Van Craenenbroeck, Kris Laukens, Lien Desteghe, Hein Heidbuchel

“…However, thorough validation of HR monitors in cardiac populations during daily life, compared to gold-standard Holter monitoring, remains limited. …”
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Machine learning‐based model for worsening heart failure risk in Chinese chronic heart failure patients by Ziyi Sun, Zihan Wang, Zhangjun Yun, Xiaoning Sun, Jianguo Lin, Xiaoxiao Zhang, Qingqing Wang, Jinlong Duan, Li Huang, Lin Li, Kuiwu Yao

“…Multiple machine learning (ML) algorithms were compared, and the results were interpreted using SHapley Additive exPlanations (SHAP). …”
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Review of guideline for the management of ANCA-associated vasculitis, presented in 2021 by the American College of Rheumatology/Vasculitis Foundation by T. V. Beketova, I. Yu. Popov, V. V. Babak

“…The anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAVs) are a group of severe life-threatening autoimmune diseases, and one of the most important problems in practical rheumatology. …”
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AI-enhanced digital therapeutics for cognitive impairment: integrating mobile applications, virtual reality, and wearable devices by Dian Jiao

“…The integration of artificial intelligence enables dynamic personalization, predictive analytics, and multi-modal data fusion, creating unified therapeutic ecosystems that enhance outcomes despite persistent challenges related to data security, ethics, and algorithmic transparency. By addressing these limitations and leveraging AI's adaptive potential, digital therapeutics can revolutionize cognitive rehabilitation, improving health outcomes and quality of life for individuals with cognitive impairments worldwide.…”
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The AI Betrayal of Social Emotions by Pedro C. Marijuán, Plamen Simeonov, Jorge Navarro

“…We examine the growing trend in contemporary societies of appealing to sentiments and emotions in so many areas of social life, particularly under the command of AI tools and algorithms. …”
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