Feasibility study on using combined tomography and spectroscopy techniques to evaluate the physical and chemical characteristics of organo-mineral fertilisers by Ruben Sakrabani, Sara Mosca, Alexander Liptak, Genoveva Burca, Genoveva Burca

“…This study needs to be further developed to enable image-based analysis using machine learning algorithms to determine characteristics of large batches of OMF. …”
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GUIDELINES ON ARTERIAL HYPERTENSION MANAGEMENT OF THE EUROPEAN SOCIETY OF CARDIOLOGY AND EUROPEAN SOCIETY OF HYPERTENSION 2018: WHAT’S NEW? by A. A. Klimenko, D. A. Anichkov, N. A. Demidova

“…Selection of treatment for elderly patients shouldn’t be based on chronological age but on biological age taking into account evaluation of senile asthenia, self-maintenance and therapy tolerability. …”
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Big data and data science in global governance: anticipating future needs and applications in the UN and beyond by Lanxin Li, Jiarou Wang, Xi Wang, Peng Peng, Jiaying Shen, Haining Zhu, Ziyang Zhang

“…This research contributes to the evolving understanding of big data's role in addressing transnational challenges through improved monitoring systems, predictive capabilities, and evidence-based policy interventions.…”
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High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach by Sunny Md. Saber, Kya Zaw Thowai, Muhammad Asifur Rahman, Md. Mehedi Hassan, A.B.M. Mainul Bari, Asif Raihan

“…Compared to existing machine learning algorithms, our stacking model exhibits superior prediction performance. …”
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Analysis of autonomous UAV navigation methods in GPS dead zones by A.R. Kravchuk, A.H. Tkachuk, O.O. Dobrzhanskyi, Yu.V. Bogoyavlenska, D.Yu. Tkachuk

“…Separately, modern trends are analyzed, namely the growing role of adaptive systems with sensor fusion and the involvement of machine learning methods. …”
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Mining industry networks influence the diffusion of innovations in the battery minerals sector by Bernardo Mendonca Severiano, Stephen A Northey, Damien Giurco

“…We focused on the top-producing countries for lithium, nickel, and manganese, utilising network-based diffusion algorithms to model the channels potentially available for the dissemination of innovations. …”
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Real-time Data Sharing Platform Technology for Rail Transit Management Systems by LIU Chao, LI Shen, SU Cheng, WANG Wei, HUANG Qing

“…［Method］ The role of sharing platforms in the rail transit industry is analyzed, emphasizing their importance in improving operational efficiency and safety. …”
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Modern treatment strategies in patients with vascular comorbidity Part 1. Correcting tissue energy deficiency by S. A. Rumyantseva, R. G. Oganov, E. V. Silina, V. A. Stupin, S. B. Bolevich, S. P. Svishcheva, A. S. Orlova, A. N. Komarov, V. A. Orlov, O. V. Abroskina, E. V. Eliseev, O. A. Sokhova, M. D. Bogatyreva

“…FRP parameters, reflecting the progression of tissue energy deficiency, differed significantly in patients with coronary heart disease, myocardial infarction, atrial fibrillation, and diabetes mellitus. Based on these findings, the therapeutic algorithms for effective energy deficiency correction have been created. …”
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Increasing pathogenic germline variant diagnosis rates in precision medicine: current best practices and future opportunities by Sonam Dukda, Manoharan Kumar, Andrew Calcino, Ulf Schmitz, Matt A. Field

“…This review covers the current state of the art in available sequencing technologies, software methodologies for variant annotation/prioritisation, pedigree-based strategies and the potential role of machine learning applications. …”
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Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques by Sameer Salasakar, Sabyasachi Prakash, Ganesh Thakur

“…With active research and development occurring in this area, proxy models are poised to play an increasingly central role in oil and gas well placement optimization.…”
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Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods by Mürsel Kahveci

“…This process plays a critical role in assessing patients' quality of life and supporting the treatment process. …”
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Exploiting K-Space in Magnetic Resonance Imaging Diagnosis: Dual-Path Attention Fusion for K-Space Global and Image Local Features by Congchao Bian, Can Hu, Ning Cao

“…Magnetic resonance imaging (MRI) diagnosis, enhanced by deep learning methods, plays a crucial role in medical image processing, facilitating precise clinical diagnosis and optimal treatment planning. …”
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Developing a Critical Imagination for How Researchers can use Artificially Intelligent Tools Reflexively and Responsibly During Qualitative Literature Reviews by Kristen Foley, Caitlan McLean, Reece De Zylva, Gregorius Asa, Jordana Maio, Samantha Batchelor, Gideon Dzando, Ahmad Dimassi

“…Beyond only literature retrieval, some AI tools describe their use-value as being able to appraise and synthesise contrasting evidence within and across papers; work like ‘Spotify’ to cultivate a personalised ecosystem of research articles that evolves via algorithmic learning; and suggest new directions for research based on existing evidence about a topic and an assessment of knowledge gaps. …”
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Implementation of personalized frameworks in computational thinking development: implications for teaching in software engineering by Josué Guevara-Reyes, Mariuxi Vinueza-Morales, Erick Ruano-Lara, Cristian Vidal-Silva

“…The development of computational thinking (CT) is crucial in software engineering education, as it enables students to analyze complex problems, design algorithmic solutions, and adapt to an evolving digital landscape. …”
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MODELING THE BEHAVIOR OF ENTERTAINMENT CONTENT CONSUMERS TAKING INTO ACCOUNT DIGITAL TECHNOLOGIES by Olga Zyma

“…The relevance of the topic is determined by the growing role of social networks, streaming services, and user-generated content platforms, which are increasingly replacing traditional media distribution channels such as television and print publications. …”
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Public and mental health professionals’ perspectives on social media and suicide exposure by Jo Bell, Christopher Westoby

“…Methods In-depth interviews were conducted with 10 purposively sampled public and mental health professionals based on their roles in crisis response, suicide prevention, and digital monitoring. …”
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Enhancing phase change thermal energy storage material properties prediction with digital technologies by Minghao Yu, Jing Liu, Cheng Chen, Mingyue Li

“…IntroductionIn the field of materials science, the prediction of material properties plays a critical role in designing new materials and optimizing existing ones. …”
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Clinical application and immune infiltration landscape of stemness‐related genes in heart failure by Wenting Yan, Yanling Li, Gang Wang, Yuan Huang, Ping Xie

“…Feature selection was performed using two machine learning algorithms. Nomogram models were then constructed to predict HF risk based on the selected key genes. …”
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AI-Driven Innovation in Skin Kinetics for Transdermal Drug Delivery: Overcoming Barriers and Enhancing Precision by Nubul Albayati, Sesha Rajeswari Talluri, Nirali Dholaria, Bozena Michniak-Kohn

“…Innovative systems, such as sensor-integrated patches, dynamically adjust drug release based on real-time feedback, ensuring optimal outcomes. …”
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GDDKIA xml service, road traffic incidents data: availability and quality research by Natalia Dziuba, Stanisław Szombara

“…In this context, spatial data on traffic incidents plays a key role, enabling drivers to bypass congestion and navigate safely and efficiently through the city. …”
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