A hot midmantle anomaly in the area of the Indian Ocean Geoid Low by Anne‐Sophie Reiss, Christine Thomas, Jac vanDriel, Björn Heyn

“…To map the discontinuities' topography, we use differential travel times of PP and SS waves and their precursors. Our final data set consists of 37 events with Mw ≥ 5.8, which densely cover our investigation area, also with crossing ray paths. …”
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Element-specific estimation of background mutation rates in whole cancer genomes through transfer learning by Farideh Bahari, Reza Ahangari Cohan, Hesam Montazeri

“…Existing methods rely on various genomic regions and features for BMR estimation but lack a model that integrates both intergenic intervals and functional genomic elements on a comprehensive set of genomic features. Here, we introduce eMET (element-specific Mutation Estimator with boosted Trees), which employs 1372 (epi)genomic features from intergenic data and fine-tunes it with element-specific data through transfer learning. …”
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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

“…A similar study by other scientists showed that the recognition accuracy of data sets was only 86 %.…”
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The Impact of Sleep Quality on Mood in Beach Volleyball Athletes: A Cross-Sectional Study by Geovani Messias da Silva, Mário António de Moura Simim, Fábio Yuzo Nakamura, Victor Coswig, Cláudio Oliveira Assumpção, Alexandre Igor Araripe Medeiros

“…We collected statistical data of the matches, including points scored, points conceded, set , set defeats, matches won, and match defeats. …”
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Machine learning reveals the dynamic importance of accessory sequences for Salmonella outbreak clustering by Chao Chun Liu, William W. L. Hsiao

“…The models demonstrated high precision and recall on unseen test data with near-perfect accuracy in classifying clonal and short-term outbreaks. …”
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The NOSTRA model: Coherent estimation of infection sources in the case of possible nosocomial transmission. by David J Pascall, Christopher Jackson, Stephanie Evans, Theodore Gouliouris, Christopher J R Illingworth, Stefan G Piatek, Julie V Robotham, Oliver Stirrup, Ben Warne, Judith Breuer, Daniela De Angelis

“…In this work, we developed a Bayesian model which jointly estimates whether a given infection detected in hospital is nosocomial and whether it came from a set of individuals identified as candidates by hospital staff. …”
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Knowledge and practice of breast self-examination among women of reproductive age in Budiganga community of Morang, Nepal by Ismita Sharma, Anjali Mishra, Ayushma Shakya, Shivraj Sharma

“…However, in many low-resource settings, both awareness and practice of BSE remain limited. …”
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Distribution characteristics and value range of numerical simulation mechanical parameters in coal seam mining by Nan WANG, Yang LI, Gustavo André PANEIRO, Xinghai LEI, Xiaoming SHI, Yihang LI, Yutong CUI, Haotian LIU, Jinlong CAO, Tieji WANG

“…Based on this dataset, methods for setting and dynamically optimizing the credibility weights of data from various provinces are presented. …”
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Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings by David Verstraete, Andrés Ferrada, Enrique López Droguett, Viviana Meruane, Mohammad Modarres

“…This methodology was applied to two public data sets of rolling element bearing vibration signals. …”
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Performance of predictive algorithms in estimating the risk of being a zero-dose child in India, Mali and Nigeria by Sebastian Bauhoff, John Tucker, Arpita Biswas

“…There is little evidence on how to effectively and efficiently identify and target such ‘zero-dose’ (ZD) children.Methods We examined how well predictive algorithms can characterise a child’s risk of being ZD based on predictor variables that are available in routine administrative data. We applied supervised learning algorithms with three increasingly rich sets of predictors and multiple years of data from India, Mali and Nigeria. …”
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Clinical Application of Artificial Intelligence in the Diagnosis, Prediction, and Classification of Coronary Heart Disease by Mahbuba Ferdowsi, Choon-Hian Goh, Haipeng Liu, Gary Tse, Jeremy Man Ho Hui, Xinhong Wang

“…Multimodal data fusion brings new potential for accurate diagnosis and personalized medicine. …”
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Development and evaluation of a web-based diet quality screener for vegans (VEGANScreener): a cross-sectional, observational, multicenter, clinical study by Tooba Asif, Anna Ouřadová, Ainara Martínez Tabar, Vanessa Bullón-Vela, Sandra Müller, Joelina Dietrich, Vanessa Keller, Marina Heniková, Eliška Selinger, Isabelle Herter-Aeberli, Maria Wakolbinger, Willem De Keyzer, Willem De Keyzer, Wendy Van Lippevelde, Monika Cahová, Leonie H. Bogl, Leonie H. Bogl, Marek Kuzma, Maira Bes-Rastrollo, Maira Bes-Rastrollo, Stefaan De Henauw, Markus Keller, Selma Kronsteiner-Gicevic, Selma Kronsteiner-Gicevic, Eva Schernhammer, Eva Schernhammer, Jan Gojda

“…An observational study is set to include 600 participants across five European sites – Belgium, Czech Republic, Germany, Spain, and Switzerland. …”
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Measures of diabetic retinopathy treatment coverage: protocol for a methodological review by Stuart Keel, Matthew J Burton, Jacqueline Ramke, Iris Gordon, Jennifer Evans, Nyawira Mwangi, Covadonga Bascaran, Rinki Murphy, Pushkar Raj Silwal, Subash Bhatta, Nayana Pant, Nimisha Chabba

“…Two investigators will independently screen studies and extract relevant data. Data will be synthesised descriptively to outline the full range of definitions of diabetic retinopathy treatment coverage in the literature and identify the common sources of data used.Ethics and dissemination This review will only include published data; thus, no ethical approval will be sought. …”
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Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence by Sonali Vyas, Sachin Gupta, Sandhya Tarar, Batyrkhan Omarov, Bhasker Pant, Jyoti L. Bangare, Tapas Bhowmik

“…The term blockchain is mainly regarded as the distributed transaction which is mainly comprised of different blocks, and each set tends to represent the data that are being associated with the previous blocks. …”
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Diagnostic accuracy of cartridge-based nucleic acid amplification test and resistance pattern in new and previously treated tuberculosis cases: A prospective observational study by Ranjit Suva, Gaurang Khadiya, Kinjal D. Rami, Urvashi Modh, Firoz Ghanchi, Yogesh Murugan

“…Background: Diagnostic methods, particularly sputum microscopy, are the standard method for diagnosing tuberculosis (TB) in many settings. The emergence of cartridge-based nucleic acid amplification test (CBNAAT) as a newer diagnostic tool for TB has shown promising results. …”
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A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction by Christopher Nielsen, Matthias Wilms, Nils D. Forkert

“…Traditionally, machine learning predictions of biological retinal age utilize convolutional neural network (CNN) architectures and data from color fundus photography (CFP). Despite being previously unexplored, the multimodal fusion of two-dimensional CFP with three-dimensional optical coherence tomography (OCT) data has significant potential to enhance retinal age prediction accuracy and the diagnostic utility of the RAG biomarker. …”
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The diagnostic value of endometrial cytology in diagnosing endometrial pathology by Nadezhda Hinkova, Kamelia Tsvetanova, Tihomir Totev, Margarita Nikolova, Teodora Semova, Dimitar Dimitrov, Elitsa Petkova

“…The implementation of screening programs would lead to the detection of oncological diseases in outpatient settings at an early stage, which would lead to positive socio-economical effects for society. …”
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Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis by Kyu-Hong Lee, Ro-Woon Lee, Jae-Sung Yun, Myung-Sub Kim, Hyun-Seok Choi

“…<b>Methods:</b> We utilized the Osteoarthritis Initiative (OAI) dataset, comprising knee X-ray data from 1526 patients. The data were split into training (47.0%), validation (26.5%), and test (26.5%) sets. …”
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Analysis of web tracking and geolocation of German-language health websites. by Patrick Siegle, Monika Pobiruchin, Richard Zowalla

“…Up to 18.93% of the websites contained cookies that were not technically necessary and were set without explicit consent. The geolocation analysis revealed that among 16.30% of resolved hostnames, at least one IP address was detected that was not from the country suggested by the top-level domain.…”
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Local Mean Normalization of Microarray Element Signal Intensities across an Array Surface: Quality Control and Correction of Spatially Systematic Artifacts by Carlo Colantuoni, George Henry, Scott Zeger, Jonathan Pevsne

“…These methods allow the detection and/or correction of spatially systematic artifacts in microarray data. …”
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