Correlation between disease progression and histopathologic criterions of the lip squamous cell carcinoma by Golubović Mileta, Ašanin Bogdan, Jelovac Drago, Petrović Milan, Antunović Marija

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Combining an internal tension relieving technique with anterior cruciate ligament reconstruction (ACLR) reduces graft failure rate and improves functional outcomes: a systematic re... by Yixin Wen, Wei Huang, Minghui Li, Yong Jiang, Yibo Tong, Hongjun Mei, Junfeng Tan

“…To address this issue, clinicians have combined the internal tension relieving technique (ITRT) with ACLR to improve graft stiffness, aiming to reduce the risk of graft failure. …”
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The TUITEK® patient support program improved caregiver-related behaviors on growth hormone treatment adherence by Ekaterina Koledova, Pen-Hua Su, Pen-Hua Su, Yen-Ju Chen, Aria Assefi, Matias Debicki, Debbie Cooke, Amrit Jheeta, Alexander B. Jones, Jung Eun Moon

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Estabilização de taludes marginais com técnicas de bioengenharia de solos no Baixo São Francisco Riverbank stabilization with soil bioengineering techniques at the Lower São Franci... by Francisco S. R. Holanda, Igor P. da Rocha, Vandemberg S. Oliveira

“…The purpose of this work was to study the application of a soil bioengineering technique in order to control the riverbank erosion by its stabilization aiming toward the riparian vegetation recovery. …”
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A systematic – Review of academic stress intended to improve the educational journey of learners by Iqra

“…Data is collected from various journals using different virtual databases, primarily Google Scholar. …”
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Toward Effective Monitoring of Diffuse VOC Emissions: A Critical Discussion and Review of the Applications of EN 17628:2022 by Luca Carrera, Selena Sironi, Marzio Invernizzi

“…The accuracy of the measurements is highly dependent on the configuration and morphology of the site, but especially on the meteorological data implemented to calculate the emitted flux. In addition, these techniques, despite being well-established, are particularly complex from both a technical–scientific and logistical–economic point of view. …”
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The externalization of internal experiences in psychotherapy through generative artificial intelligence: a theoretical, clinical, and ethical analysis by Yuval Haber, Dorit Hadar Shoval, Inbar Levkovich, Dror Yinon, Karny Gigi, Oori Pen, Tal Angert, Zohar Elyoseph, Zohar Elyoseph

“…Recent advances in generative artificial intelligence (GenAI), specifically large language models (LLMs), present new possibilities for therapeutic interventions; however, their integration into core psychotherapy practices remains largely unexplored. This study aimed to examine the clinical, ethical, and theoretical implications of integrating GenAI into the therapeutic space through a proof-of-concept (POC) of AI-driven externalization techniques, while emphasizing the essential role of the human therapist.MethodsTo this end, we developed two customized GPTs agents: VIVI (visual externalization), which uses DALL-E 3 to create images reflecting patients' internal experiences (e.g., depression or hope), and DIVI (dialogic role-play-based externalization), which simulates conversations with aspects of patients' internal content. …”
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A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective by Dung Nguyen Tien, Huong Thi Thu Bui, Tram Hoang Thi Ngoc, Thuy Thi Pham, Dac Trung Nguyen, Huyen Nguyen Thi Thu, Thi Thu Hang Vu, Thi Lan Anh Luong, Lan Thu Hoang, Ho Cam Tu, Nina Körber, Tanja Bauer, Lam Khanh Ho

“…Early and accurate risk assessments are essential for guiding clinical decisions and implementing effective preventive measures. Data mining techniques are powerful tools for identifying key predictors in medical diagnostics. …”
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Approaches for handling imbalanced data used in machine learning in the healthcare field: A case study on Chagas disease database prediction. by André G Coimbra, Cleiane G Oliveira, Matheus P Libório, Hasheem Mannan, Laercio I Santos, Elisa Fusco, Marcos F S V D'Angelo

“…This study conducts a comparative analysis of techniques for handling imbalanced data and evaluates their effectiveness in combination with a set of classification algorithms, specifically focusing on stroke prediction. …”
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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

“…So, biomedical engineers and robotic researchers aimed to fuse these techniques in a novel rehabilitation system. …”
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A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI by Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem

“…Abstract The interest in data-centric AI has been recently growing. As opposed to model-centric AI, data-centric approaches aim at iteratively and systematically improving the data throughout the model life cycle rather than in a single pre-processing step. …”
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Guest Editorial: Deep Learning for Visual Information Analytics and Management by krishna Kant Singh, Ahmed Elngar, Md Arafatur Rahman

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Cyber-Biosecurity Challenges in Next-Generation Sequencing: A Comprehensive Analysis of Emerging Threat Vectors by Nasreen Anjum, Hani Alshahrani, Asadullah Shaikh, Mahreen-Ul-Hassan, Mehreen Kiran, Shah Raz, Abu Alam

“…Genomic data is inherently sensitive, and vulnerabilities in NGS technologies, software, data-sharing practices, and open-access databases expose it to risks concerning data confidentiality, integrity, and privacy. …”
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Comparison of the effect of guided visualization technique and cryotherapy on pain intensity during needle insertion into arterial–venous vessels of hemodialysis undergoing patient... by Zahra Ghazanfari, Saeed H. Teshnizi, Pooneh Yousefi, Aref Faghih

“…Based on this, this study was conducted with the aim of the effect of guided visualization technique and cryotherapy on the intensity of pain when the needle enters the arterialvenous vessels in patients undergoing hemodialysis. …”
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AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural net... by Mohammad H. Mehraban, Samad ME Sepasgozar, Alireza Ghomimoghadam, Behrouz Zafari

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Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume by Kirti Sharma, Pawan K. Tiwari, Sanjay Kumar Sinha

“…This dataset comprises four distinct variables, and the aim of this research involves training the dataset using regression techniques to predict two of these variables. …”
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Performance of Spatial Distribution Quality by Ordinary Fuzzy Kriging for Soil Properties under Uncertainty by ghanim dhaher, suhaib abd albaqee

“…The second objective of this work is to estimate parameters of covariance models based on real data of soil chemicals, the data adopted in this research is taken from (100) real data for each soil chemical (Mg, Cl, and No3). …”
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Integrating Molecular Perspectives: Strategies for Comprehensive Multi-Omics Integrative Data Analysis and Machine Learning Applications in Transcriptomics, Proteomics, and Metabol... by Pedro H. Godoy Sanches, Nicolly Clemente de Melo, Andreia M. Porcari, Lucas Miguel de Carvalho

“…We discuss combined omics integration approaches, correlation-based strategies, and machine learning techniques that utilize one or more types of omics data. …”
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EO-data and remote sensing integration for water erosion modelling and mapping in North Tunisia: a case study of Medjerda watershed by Ben Othman Dhouha, Ezzine Ahmed, Hermassi Taoufik, Kochlef Emna

“…Indeed, multi-sources earth observation data (EO-data), geographic information systems (GIS), and remote sensing (RS) techniques were integrated into the modelling process. …”
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Regional anesthesia educational material utilization varies by World Bank income category: A mobile health application data study. by Vanessa Moll, Edward R Mariano, Jamie M Kitzman, Vikas N O'Reilly-Shah, Craig S Jabaley

“…Using access data from a free Android app with curated regional anesthesia learning modules, we aimed to estimate global interest in regional anesthesia and potential applications to clinical practice stratified by World Bank income level.…”
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