Optimising energy distribution and detecting vulnerabilities in networks using artificial intelligence by D. Koshkin, O. Sadovoy, A. Rudenko, V. Sokolik

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A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease by Guihan Lin, Weiyue Chen, Yongkang Geng, Bo Peng, Surui Liu, Minjiang Chen, Chunying Pang, Pengjun Chen, Chenying Lu, Zhihan Yan, Shuiwei Xia, Yakang Dai, Jiansong Ji

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Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce by Alp Ecevit, İrem Öztürk, Mustafa Dağ, Tuncay Özcan

“…At this point, different approaches such as statistical models, fuzzy systems, machine learning and deep learning algorithms are widely used for sales forecasting. This study investigates the performance of the deep learning based the Long-Short Term Memory (LSTM) model and the Facebook Prophet model on short-term sales forecasting. …”
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Population characteristics of hostility among the population of a medium urban Siberian city: age and sex aspects by M. M. Kayumova, M. Yu. Akimov, V. V. Gafarov

“…To assess hostility, the algorithms of the WHO program MONICA-Psychosocial were used. …”
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Commercial symptom monitoring devices in Parkinson’s disease: benefits, limitations, and trends by Daniel Rodríguez-Martín, Carlos Pérez-López, Carlos Pérez-López

“…Parkinson’s disease (PD) is a neurodegenerative disorder that significantly impacts patients’ quality of life. Managing PD requires accurate assessment of motor and non-motor symptoms, often complicated by the subjectivity in symptom reporting and the limited availability of neurologists. …”
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Università italiana, docenti e ChatGPT. La zona grigia tra pratiche lavorative e immaginari by Giovanni Ciofalo, Marco Pedroni, Francesca Setiffi

“…The questionnaire and the interpretation of the results consider two perspectives: a) the culture and everyday life of artificial intelligence and 2) artificial communication, algorithmic thinking, platforms, and work practices. …”
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Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis. by Zhe Wang, Ni Jia

“…For depression prediction, factors such as life satisfaction, self-reported health, pain, sleep duration, and cognitive function are identified as highly significant predictive factors.…”
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Pipkin type III fractures: a narrative review of literature and comparative opinion on ORIF vs. arthroplasty by Sujan Shakya, Qing Zhang, Yi Wen, Xinag Wen, Long Cheng

“…Reoperation and surgical intervention pose significant economic burden, functional impairment, and quality of life. This comprehensive review on Pipkin type III demonstrates a throughout exploration of the existing research publications and case studies, focusing on current understanding treatment management strategies, outcome associated and decision-making frameworks with algorithms for decision schemes. …”
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Bayesian implementation of Rogers–Castro model migration schedules: An alternative technique for parameter estimation by Jessie Yeung, Monica Alexander, Tim Riffe

“…BACKGROUND: The Rogers–Castro model migration schedule is a key model for migration trends over the life course. It is applied in a wide variety of settings by demographers to examine the relationship between age and migration intensity. …”
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How chatbots influence marketing by Kaczorowska-Spychalska Dominika

“…While remaining in a constant contact with smart devices, systems and algorithms, they are looking for new values and meanings, which are a metaphor of their desires, fears and behaviors. …”
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Recent advances and controversies in head and neck reconstructive surgery by Kuriakose Moni, Sharma Mohit, Iyer Subramania

“…Standardized reconstructive algorithms for common head and neck defects have been developed with predictable results. …”
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An Overview of the Empirical Evaluation of Explainable AI (XAI): A Comprehensive Guideline for User-Centered Evaluation in XAI by Sidra Naveed, Gunnar Stevens, Dean Robin-Kern

“…Recent advances in technology have propelled Artificial Intelligence (AI) into a crucial role in everyday life, enhancing human performance through sophisticated models and algorithms. …”
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Metric-Based Few-Shot Transfer Learning Approach for Voice Pathology Detection by Jong-Ho Won, Deok-Hwan Kim

“…Voice pathologies significantly affect social interactions and quality of life. Traditional diagnostic techniques, such as a laryngoscopy, are invasive and cumbersome. …”
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Chronic cough as a disease by Richard D. Turner, Surinder S. Birring

“…Chronic cough is a frequent reason for medical consultation and has significant impact on quality of life. Due to the limited effectiveness of currently available treatments, and delays in accessing care, patients are often inadequately managed. …”
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Quantification of nematic cell polarity in three-dimensional tissues. by André Scholich, Simon Syga, Hernán Morales-Navarrete, Fabián Segovia-Miranda, Hidenori Nonaka, Kirstin Meyer, Walter de Back, Lutz Brusch, Yannis Kalaidzidis, Marino Zerial, Frank Jülicher, Benjamin M Friedrich

“…We propose a conceptual and algorithmic framework to characterize complex patterns of polarity proteins on the surface of a cell in terms of a multipole expansion. …”
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Application of EEG-Based Brain-Computer Interface Technology in Stroke Rehabilitation by SHU Yuhong, FU Jianming, YAO Yunhai, ZENG Ming, GU Xudong

“…Patients with stroke often suffer from motor, cognitive and speech function disorders, which seriously affect their quality of life. As an innovative technology that combines real-time assessment and rehabilitation training, electroencephalogram (EEG)-based brain-computer interface (BCI) technology has shown great potential in stroke rehabilitation. …”
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Transforming Farming: A Review of AI-Powered UAV Technologies in Precision Agriculture by Juhi Agrawal, Muhammad Yeasir Arafat

“…However, limitations include high costs of operation, limited UAV battery life, and the need for highly trained operators. …”
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Immune-Mediated Adverse Events Associated with Ipilimumab CTLA-4 Blockade Therapy: The Underlying Mechanisms and Clinical Management by Ahmad Tarhini

“…Implementation of these irAE management algorithms will help ensure that patients are able to benefit from ipilimumab therapy with adequate control of toxicities.…”
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Neutrosophic Cognitive Maps to Analyze Barriers and Opportunities in the Development of Critical Thinking through Inquiry Strategies in Public Universities by Betsy Maryetta Quispe Baca, Adán Humberto Estela Estela, Vladímir Bendezú Pérez, Yessika Madelaine Abarca Arias, Manuel Cesar Vildoso Villegas, Pierre Sean Rojas Padilla, Juvita Dina Soto Hilario

“…Through a rigorous methodological design that includes systematic data collection and the use of specialized algorithms, the study seeks to uncover the hidden dynamics that affect the adoption of these pedagogical strategies. …”
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Stochastic artificial intelligence models for water resources management: innovative riverflow estimation amidst uncertainty by Mojtaba Poursaeid

“…Abstract Rivers provide irreplaceable resources for human life, and the problem of water scarcity has attracted serious attention worldwide. …”
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