The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

“…A substantial portion of studies (n=38, 67%) focused on improving clinical decision-making, patient stratification, and treatment optimization. …”
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Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation by Xinyi Zhang, Lanfang Xie, Wanting Liu, Shaoying Liang, Liyao Huang, Mingjun Wang, Lingling Tian, Li Zhang, Zhen Liang, Hai Li, Gan Huang

“…Conclusions These findings underscore that passive movement elicits consistent neural responses, thereby enhancing the generalizability of decoding algorithms for stroke patients. By integrating exoskeleton-evoked proprioceptive feedback, this paradigm reduces inter-subject variability and improves clinical feasibility. …”
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Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review by Hesameddin Akbarein, Mohammad Hussein Taaghi, Mahyar Mohebbi, Parham Soufizadeh

“…It also examines the primary machine learning algorithms used in relevant studies, highlighting emerging trends in the field. …”
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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

“…It is assumed that the improvement of ML-based models and their introduction into clinical practice will help support medical decision-making, increase the effectiveness of treatment and optimize health care costs.…”
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Development and Training of a Neural Network Filter for Satellite Images Processing by N. Andriyanov, A. Kim

“…In addition, the paper compares the effectiveness of the proposed approach with traditional filtering algorithms such as Kalman filter and Wiener filter. …”
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AI-Driven Robotics: Innovations in Design, Perception, and Decision-Making by Lei Li, Li Li, Mantian Li, Ke Liang

“…Artificial intelligence (AI), driven by large datasets and advanced algorithms, plays a pivotal role in addressing these challenges and advancing robotics. …”
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Investigating the Role of Code Smells in Preventive Maintenance by Junaid Ali Reshi, Satwinder Singh

“…The quest for improving the software quality has given rise to various studies which focus on the enhancement of the quality of software through various processes. …”
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CONSTRUCTION OF SUBSTITUTION BOX (S-BOX) BASED ON IRREDUCIBLE POLYNOMIALS ON GF(2^8) by Faldy Tita, Adi Setiawan, Bambang Susanto

“…In the field of modern encryption algorithms, the creation of S-Box is an essential element that plays an important role in maintaining data security in various industries. …”
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An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture by MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan

“…User feedback from the survey provided insights into the system's practical effectiveness and potential areas for improvement. The results demonstrate that integrating AI-driven crop recommendation models with IoT devices can support real-time agricultural decision-making, improving precision farming outcomes. …”
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Priorities of ensuring hygiene and occupational safety of medical personnel and the resilience of healthcare facilities in emergency situations by R. P. Brukhno, O. P. Yavorovskyi, Yu. M. Skaletskyi, T. O. Zinchenko

“…The resilience of healthcare facilities to various types of emergency situations is an extremely important component of ensuring the hospital environment safety and, as practice shows, requires improvement. There is an urgent need to develop clear response algorithms for healthcare facilities to cope with emergency situations that could influence them. …”
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population. by Sazzli Kasim, Putri Nur Fatin Amir Rudin, Sorayya Malek, Nurulain Ibrahim, Xue Ning Kiew, Nafiza Mat Nasir, Khairul Shafiq Ibrahim, Raja Ezman Raja Shariff

“…<h4>Conclusions</h4>These findings underscore the effectiveness of ML models in improving CVD risk stratification and decision-making in Malaysia and beyond.…”
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The impact of a dedicated checklist on the quality of onsite management of critically buried avalanche victims in cardiac arrest in a Swiss helicopter emergency medical service by Maxime Trolliet, Mathieu Pasquier, Marc Blancher, Roland Albrecht, Alban Lovis, Hermann Brugger, Alexandre Kottmann

“…Quality improvement efforts should focus on the management of avalanche victims with a long burial duration. …”
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AI powered blockchain framework for predictive temperature control in smart homes using wireless sensor networks and time shifted analysis by Cong Feng, Ahmed Kateb Jumaah Al-Nussairi, Mustafa Habeeb Chyad, Narinderjit Singh Sawaran Singh, Jianyong Yu, Amirfarhad Farhadi

“…The integration of blockchain ensures tamper-proof data security, eliminating unauthorized data access, and improving trust in smart home environments. These results illustrate the potential of combining AI, blockchain, and WSNs to create a robust, energy-efficient, and secure smart home temperature control system, offering significant improvements over traditional solutions.…”
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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…The superior performance of the neural network approach suggests significant potential for improving water resource management practices, optimizing cloud seeding interventions, and informing policy decisions. …”
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Principles of physical factor selection in the early postoperative period of breast cancer treatment: a randomized controlled study by Inna S. Evstigneeva

“…The study found that general magnetic therapy normalizes the microcirculation efficiency index and the bypass index, reducing congestion on the operated side, and improves the quality of life. Adding pneumatic compression to the complex affects the volume of lymphorrhea by 2.2 times; fluctuorization reduces pain by 2.2 times and increases the range of motion in the shoulder joint by 1.8 times; the electrostatic field affects the reduction of edema, pain syndrome and neuropathy by 2 times; low-temperature plasma improves the regeneration of the postoperative suture and reduces edema and inflammation in this area by 1.3 times. …”
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A Review and Comparative Analysis of Solar Tracking Systems by Reza Sadeghi, Mattia Parenti, Samuele Memme, Marco Fossa, Stefano Morchio

“…Intelligent tracking systems, especially those leveraging machine learning and predictive analytics, demonstrate additional energy gains up to 7.83% under cloudy conditions compared to conventional algorithms. The review also emphasizes adaptive tracking strategies for backtracking, high-latitude conditions, and cloudy weather, alongside emerging applications in agrivoltaics, where solar tracking not only enhances energy capture but also improves shading control, crop productivity, and rainwater distribution. …”
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Hybrid Machine Learning-Based Fault-Tolerant Sensor Data Fusion and Anomaly Detection for Fire Risk Mitigation in IIoT Environment by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Shashi Bhushan, Vinay Rishiwal, Manish Kumar

“…The proposed approach also deploys machine learning algorithms to dynamically adjust probabilistic models based on real-time sensor reliability, thereby improving prediction accuracy even in the presence of unreliable sensor data. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

“…Fuzzy clustering addresses the challenge of overlapping behaviors, providing actionable insights for targeted improvements and enhanced operational efficiency. Nevertheless, conventional clustering algorithms for process mining focus either on activity sequences or cycle times, resulting in incomplete insights due to the neglect of temporal or structural variations. …”
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Effects of magnesium deficiency on stress manifestations in women of reproductive age with nonspecific vaginitis by O. D. Riazanova, Н. I. Reznichenko

“…The use of magnesium preparation according to the scheme in the complex treatment of nonspecific vaginitis in women of reproductive age with chronic stress normalizes the blood magnesium levels, significantly improves the psycho-emotional state, reduces the symptoms of anxiety and depression and significantly improves the direct results of treatment.…”
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A promising method for strongly correlated electrons in two dimensions: Gutzwiller-guided Density Matrix Renormalization Group by Hui-Ke Jin, Rong-Yang Sun, Hong-Hao Tu, Yi Zhou

“…This hybrid approach, referred to as DMRG guided by Gutzwiller-projected wave functions (or Gutzwiller-guided DMRG), has demonstrated remarkable improvements in accuracy, efficiency, and the ability to explore exotic quantum phases such as topological orders. …”
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