The impact of using advanced computer programs on the interior architectural design of the home أثر استخدام برامج الحاسوب المتقدمه في التصميم المعماري الداخلي للمسكن... by Mohamed Abdel Hamed

“…This study examines the evolution of advanced computer software in its various versions, stages, techniques, parametric design, algorithms, and BIM technologies, as well as their positive impacts, advantages, and the challenges they entail in enhancing interior design quality and, consequently, the quality of life within residential buildings. …”
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Combating Corruption in Sport: Legal Aspect (Lucha contra la corrupción en el deporte: aspecto legal) by Tetiana Kolomoiets, Maxym Tkalych, Petro Melnyk, Bogdan Panchenko, Yuliia Tolmachevska

“…Therefore, legal science has a task to determine the legal algorithms for combating sports corruption both within the country and in the international arena. …”
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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

“…The search focused on extracting data regarding the ML algorithms applied; disease categories studied; types of study designs (eg, clinical trials and cohort studies); and the sources of RWE, including EHRs, patient registries, and wearable devices. …”
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Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA by Tong Y, Wen K, Li E, Ai F, Tang P, Wen H, Guo B

“…Future research can explore the potential of incorporating these predictive factors into comprehensive treatment strategies to improve patient prognosis and overall quality of life.Keywords: machine learning, risk prediction, sleep quality, OSA, SHAP…”
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A machine learning model for predicting obesity risk in patients with diabetes mellitus: analysis of NHANES 2007–2018 by Wenqiang Wang, Ruiqing Mo, Xingyu Chen, Sijie Yang

“…BackgroundObesity is a prevalent and clinically significant complication among individuals with diabetes mellitus (DM), contributing to increased cardiovascular risk, metabolic burden, and reduced quality of life. Despite its high prevalence, the risk factors for obesity within this population remain incompletely understood. …”
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Bioinformatic Analysis of Apoptosis-Related Genes in Preeclampsia Using Public Transcriptomic and Single-Cell RNA Sequencing Datasets by Liu L, Li X, Yang H, Xu F, Dong X

“…We used scRNA-seq and differential expression analysis, combined with five algorithms from the CytoHubba plugin, to identify ARGs as PE biomarkers. …”
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Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study by Narathip Thanyakunsajja, Kulsawasd Jitkajornwanich, Shan Xu, Donghee Shin, Pattama Charoenporn

“…MethodsThe textual information from clinicians’ or doctors’ notes was first preprocessed using text analysis algorithms with respect to natural language processing. …”
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Prediction of Cover–Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data by Wesley B. Richardson, Suné von Solms, Johan Meyer, Charis Harley

“…Sinkholes are geohazards that commonly form in karstifiable terrain and are an ever-present danger to infrastructure and human life. This paper aims to answer the question: Can a cover–subsidence sinkhole’s volume be determined using fibre Bragg grating sensor strain data and machine-learning techniques? …”
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Replace government healthcare with patient-controlled health care by Deane Waldman

“…As evidence of the inefficiency of the existing US healthcare system in comparison with other countries, comparative data for different countries on life expectancy and incidence rates of a number of diseases are provided. …”
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Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recog... by Andrea P Garzón-Partida, Kimberly Magaña-Plascencia, Diana Emilia Martínez-Fernández, Joaquín García-Estrada, Sonia Luquin, David Fernández-Quezada

“…This disorder is a global health crisis tied to increased mortality, unemployment, and reduced quality of life. Altered brain connectivity, circadian rhythms, and dopaminergic pathways contribute to sleep disorders, anxiety, and stress, which worsen SUD severity and relapse. …”
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The Next Frontier in Brain Monitoring: A Comprehensive Look at In-Ear EEG Electrodes and Their Applications by Alexandra Stefania Mihai (Ungureanu), Oana Geman, Roxana Toderean, Lucas Miron, Sara SharghiLavan

“…Future research aims to improve device design for long-term monitoring, integrate advanced signal processing algorithms, and explore applications in neurorehabilitation and early diagnosis of neurodegenerative diseases.…”
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Comparative analysis of machine learning techniques in metabolomic-based preterm birth prediction by Ying-Chieh Han, Jane Shearer, Chunlong Mu, Donna M. Slater, Suzanne C. Tough, Gavin E. Duggan

“…Background: Machine learning (ML), with advancements in algorithms and computations, is seeing an increased presence in life science research. …”
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A Novel Autonomous Robotic Vehicle-Based System for Real-Time Production and Safety Control in Industrial Environments by Athanasios Sidiropoulos, Dimitrios Konstantinidis, Xenofon Karamanos, Theofilos Mastos, Konstantinos Apostolou, Theocharis Chatzis, Maria Papaspyropoulou, Kalliroi Marini, Georgios Karamitsos, Christina Theodoridou, Andreas Kargakos, Matina Vogiatzi, Angelos Papadopoulos, Dimitrios Giakoumis, Dimitrios Bechtsis, Kosmas Dimitropoulos, Dimitrios Vlachos

“…Finally, the Q-CONPASS system was validated in a real-life environment (i.e., the lift manufacturing industry), showcasing the importance of collecting and processing data in real-time to boost productivity and improve the well-being of workers.…”
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Pediatric anaphylaxis in the emergency department: Performances of dynamic tryptase measurement by Constance Gonzalez, MD, Meng Sun, MSc, Aurélie Morand, MD, PhD, Philippe Minodier, MD, Marc Leone, MD, PhD, Jean-Christophe Dubus, MD, PhD, Joana Vitte, MD, PhD, Moïse Michel, PharmD, PhD

“…Anaphylaxis was defined as a sudden-onset, perceived life-threatening systemic reaction at the time of physician assessment. …”
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Intelligent Song Recognition via a Hollow‐Microstructure‐Based, Ultrasensitive Artificial Eardrum by Shaopeng Li, Jiangtao Tian, Ke Li, Kemeng Xu, Jiaqi Zhang, Tingting Chen, Yang Li, Hongbo Wang, Qiye Wu, Jinchun Xie, Yongjun Men, Weiping Liu, Xiaodan Zhang, Wenhan Cao, Zhongjie Huang

“…Abstract Artificial ears with intelligence, which can sensitively detect sound—a variant of pressure—and generate consciousness and logical decision‐making abilities, hold great promise to transform life. However, despite the emerging flexible sensors for sound detection, most success is limited to very simple phonemes, such as a couple of letters or words, probably due to the lack of device sensitivity and capability. …”
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Interpersonal counselling for adolescent depression delivered by youth mental health workers without core professional training: the ICALM feasibility RCT by Jon Wilson, Viktoria Cestaro, Eirini Charami-Roupa, Timothy Clarke, Aoife Dunne, Brioney Gee, Sharon Jarrett, Thando Katangwe-Chigamba, Andrew Laphan, Susie McIvor, Richard Meiser-Stedman, Jamie Murdoch, Thomas Rhodes, Carys Seeley, Lee Shepstone, David Turner, Paul Wilkinson

“…We found evidence that it might lead to better quality of life and reduced need for health care over time. …”
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Diagnosis and treatment of synthetic mid-urethral sling complications by Helen E. O’Connell, Christopher K. Harding, Gaurav Khatri, Phyllis Glanc, Eric Bautrant, Sarah Love-Jones, Karen Ward, Henry H. Yao, Ventia Hoe, Charlotte Korte, Nicolle Germano, Sanjeevan Kalavampara, Sherif Mourad, Hashim Hashim

“…The management of complications following SMUS placement is discussed and algorithms are provided for each of the common complications of SMUS. …”
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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

“…This fact highlights the need for accurate machine learning algorithms (MLAs) for analyzing, monitoring, and diagnosing sleep disorders. …”
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Right ventricular mechanical support as a bridge to lung transplantation: A literature review of current practices by Michaela Orlitová, Bert Demeulenaere, Dieter Van Beersel, Dirk E. Van Raemdonck, Robin Vos, Laurens J. Ceulemans, Steffen Rex, Laurent Godinas, Tom Verbelen, Arne P. Neyrinck

“…Extracorporeal life support (ECLS) serves as a bridge to lung transplantation (BTT) for patients with acute respiratory failure (ARF) or right ventricular (RV) dysfunction/failure (RVD/RVF). …”
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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f... by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…Introduction Depression and anxiety are highly prevalent mental health conditions that significantly affect quality of life and cause societal burdens. However, their detection and diagnosis rates remain low owing to the limitations of the current screening methods. …”
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