A bidirectional Mendelian randomization study integrating genome-wide association studies, expression quantitative trait locus, and methylation quantitative trait locus data reveal... by Zhou An, Meichun Zeng, Xianhua Wang

“…Additionally, we applied summary data-based Mendelian randomization techniques to combine information from genome-wide association studies (GWAS) with expression quantitative trait locus and methylation quantitative trait locus. …”
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PAdaptCD: Progressive Adaptive Thresholding and Bitemporal Image Augmentation for Semisupervised Change Detection by Linlin Wang, Junping Zhang, Dong Chen, Lorenzo Bruzzone

“…In addition, bitemporal image augmentation (BTIA) techniques are developed to better capture the specific properties of bitemporal data. …”
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Sentiment Analysis of Rohingya Refugees in Aceh using Support Vector Machine (SVM) and Multinomial Logistic Regression by Gigih Army Buana Baliputra, Slamet Kacung, Budi Santoso

“…This study aims to develop an application that uses the Support Vector Machine (SVM) and Multinomial Logistic Regression techniques to conduct sentiment analysis on public opinion with positive, neutral, and negative classifications regarding Rohingya refugees in Aceh. …”
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A machine learning‐based approach for wait‐time estimation in healthcare facilities with multi‐stage queues by Amjed Al‐Mousa, Hamza Al‐Zubaidi, Mohammad Al‐Dweik

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Three-Dimensional Particle-Discrete Datasets: Enabling Multidimensional Particle System Characterization Using X-Ray Tomography by Ralf Ditscherlein, Urs A. Peuker

“…The research further introduces innovative sample preparation techniques for particle collectives, aiming to reduce post-processing efforts in image analysis. …”
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Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant by Francis T. Omigbodun, Norman Osa-Uwagboe, Amadi Gabriel Udu, Bankole I. Oladapo

“…By varying the cHAP content, we aimed to enhance PLA scaffolds’ mechanical and thermal properties, making them suitable for load-bearing biomedical applications. …”
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Online Reviews Meet Visual Attention: A Study on Consumer Patterns in Advertising, Analyzing Customer Satisfaction, Visual Engagement, and Purchase Intention by Aura Lydia Riswanto, Sujin Ha, Sangho Lee, Mahnwoo Kwon

“…This study aims to bridge the gap between traditional consumer behavior analysis and modern techniques by integrating big data analysis, eye-tracking technology, and survey methods. …”
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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

“…The healthcare industry faces significant challenges in managing and processing large volumes of unstructured, real-time medical data. As such, there is a growing need for advanced techniques to handle complex data in the diagnosis of disorders like Autism Spectrum Disorder (ASD). …”
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Enhancing high-quality education through systemic school leadership: a systematic review by Robert White, Charles Lowery, Jerry Johnson

“…Empirical studies from 2014 to 2024 were analyzed using grounded theory techniques. Findings – Five key themes emerged: collaborative leadership, equity-focused decision-making, pedagogical leadership and professional development, building a community of support and data-driven practices. …”
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Secondary Use of Electronic Health Record: Opportunities and Challenges by Shahid Munir Shah, Rizwan Ahmed Khan

“…However, continually evolving state-of-the-art techniques in Machine Learning (ML), Data Analytics (DA) and hacking are making it even more difficult to completely protect an individual’s/patient’s privacy. …”
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Integrating Artificial Intelligence in urban redesign: A collaborative approach to post-war design phases by I. Alshafei, R. Almashhour

“…It compares conventional methods of urban revival with innovative Artificial Intelligence-supported methods to determine the advantages of utilizing Artificial Intelligence in post-war urban re-design. Traditional techniques for gathering data, allocating resources, and engaging the community have many challenges that negatively affect the effectiveness of re-designing and re-design measures. …”
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Normal-Only Anomaly Detection in Environmental Sensors in CPS: A Comprehensive Review by Yaa Takyiwaa Acquaah, Roy Kaushik

“…With a focus on identifying deviations from normal behavior rather than categorizing specific anomalies, this review covers a wide range of anomaly detection techniques tailored to environmental sensor data. Furthermore, we offer perspectives on particular application fields of CPS and explore how anomaly detection techniques that depend exclusively on data from normal operations are implemented. …”
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Methodology for Determining Time Intervals by Video Recordings by A. G. Boyarov, O. O. Vlasov, I. S. Siparov

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Feasibility, effectiveness, and safety of simultaneous side-by-side deployment of uncovered self-expandable metal stents for malignant hilar biliary obstruction: a retrospective si... by Chengcheng Christine Zhang, Marcus Kantowski, Cyrill Wehling, Patrick Michl, Ronald Koschny, Peter Sauer

“…However, reliable clinical data on this method are limited. This retrospective, single-center study aimed to evaluate the feasibility, effectiveness, and safety of simultaneous side-by-side deployment of self-expandable metal stents for malignant hilar biliary obstruction. …”
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Expliciting Contexts: Semantic Knowledge Extraction from Traditional Archival Descriptions by Lucia Giagnolini, Andrea Schimmenti, Paolo Bonora, Francesca Tomasi

“…Archival finding aids are often only partially capable of fully expressing the informational potential of data due to the presence of numerous unstructured fields in the descriptions of documentary collections. …”
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SCREENING FOR OVARIAN CANCER: REALITY AND PROSPECTS. REVIEW OF THE LITERATURE by E. V. Gerfanova, L. A. Ashrafyan, I. B. Antonova, O. I. Aleshikova, S. V. Ivashina

“…Increased survival rate of patients with OC is the main aim of all scientific research.…”
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Comparative evaluation of various DNA extraction methods and analysis of DNA degradation levels in commercially marketed Chestnut rose juices and beverages by Yongchao Ren, Yunlong Ma, Yanqi Li, Yun Song, WeiWei Zhao, Xuncai Huang, Danmin Yu, Jian Li, Zuogang Xu, Wenjun Zhao

“…This study aimed to optimize and compare four DNA extraction methods for Chestnut rose juices and beverages. …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

“…This makes it difficult for others attempting comparable tasks to compare our findings with theirs. Therefore, the study aims to close this disparity. With the help of an intelligent technology known as the XGBoost classifier and a set of data from the data-rich website Kaggle, we have devised a comprehensive strategy to address the issues identified with the existing methods for identifying and predicting malicious websites. …”
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Defining chronic pain impact levels: a patient-clinician approach using PROMIS® pain interference scores by Karon F. Cook, Dokyoung Sophia You, Michael Von Korff, Sean C. Mackey

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O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros Landrelief in the interpretation of spatial variability of nutrient content in citru... by Marisol G. A. de Leão, José Marques Júnior, Zigomar M. de Souza, Diego S. Siqueira, Gener T. Pereira

“…The leaves were collected at regular intervals of 50 m, totaling 332 sampling points. Data were analyzed by descriptive statistics, geostatistics and induction of decision tree. …”
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