c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease. by Sherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi

“…The model can be used for detection and biomarker identification in other related dementias.…”
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Recurrent Hypoglycemia in a Case of Congenital Analbuminemia by Martin Litzel, Gianluca Caridi, Francesca Lugani, Monica Campagnoli, Lorenzo Minchiotti, Stefan Fischli

“…A diagnosis of CAA was confirmed by mutation analysis and by the detection of a single base variation in the ALB gene. …”
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VigIA: prioritizing public procurement oversight with machine learning models and risk indices by Andrés Salazar, Juan F. Pérez, Jorge Gallego

“…We also highlight how these values change when the analysis focuses on specific contract types or on information available for early detection. …”
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Pollen–Pistil Interactions in Autochthonous Balkan Sweet Cherry Cultivars—The Impact of Genotype and Flowering Temperature by Sanja Radičević, Slađana Marić, Ivana Glišić, Radosav Cerović, Milena Đorđević, Nebojša Milošević, Vera Rakonjac, Slavica Čolić, Melpomena Popovska, Viktor Gjamovski, Bojana Banović Đeri

“…To identify <i>S</i>-haplotypes, the polymerase chain reaction (PCR) method was used to detect the <i>S</i>-ribonuclease (<i>S-RNase</i>) and <i>S</i>-haplotype-specific F-box protein (<i>SFB</i>) alleles, combined with fragment analysis and <i>S-RNase</i> sequencing. …”
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Least square predicted acoustic signal based smart accidental management using multi-criterion asynchronous classifier by Rajesh Yadav, Pankaj Agarwal

“…The proposed model, named Smart Accidental Management Using a Multi-Criterion Asynchronous Classifier, employs the Least Squares prediction technique to foresee accident points based on road characteristics and geographical locations. Analysis features include latitude, longitude, and object hits, amplifying classifier accuracy. …”
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Harnessing sequencing data for porcine reproductive and respiratory syndrome virus (PRRSV): tracking genetic evolution dynamics and emerging sequences in US swine industry by Srijita Chandra, Guilherme Cezar, Kinath Rupasinghe, Edison Magalhães, Gustavo S. Silva, Marcelo Almeida, Bret Crim, Eric Burrough, Phillip Gauger, Darin Madson, Joseph Thomas, Michael Zeller, Jianqiang Zhang, Rodger Main, Albert Rovira, Mary Thurn, Paulo Lages, Cesar Corzo, Matthew Sturos, Kimberly VanderWaal, Hemant Naikare, Franco Matias-Ferreyra, Rob McGaughey, Jamie Retallick, Sara McReynolds, Sara McReynolds, Jordan Gebhardt, Angela Pillatzki, Jon Greseth, Darren Kersey, Travis Clement, Jane Christopher-Hennings, Beth Thompson, Beth Thompson, Jonah Perkins, Melanie Prarat, Dennis Summers, Craig Bowen, Joseph Boyle, Kenitra Hendrix, James Lyons, Kelli Werling, Andreia G. Arruda, Mark Schwartz, Mark Schwartz, Paul Yeske, Deborah Murray, Brigitte Mason, Peter Schneider, Samuel Copeland, Luc Dufresne, Daniel Boykin, Corrine Fruge, William Hollis, Rebecca Robbins, Thomas Petznick, Kurt Kuecker, Lauren Glowzenski, Megan Niederwerder, Xiaoqiu Huang, Daniel C. L. Linhares, Giovani Trevisan

“…Real-time PRRSV sequencing data analysis informs producers and veterinarians of any upcoming novel sequences and trends of detection. …”
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Mechanosensory Perception and Food Localisation in Pangasius nasutus Larvae: A Developmental Perspective by FADHIL SYUKRI, NIK NOOR ALIA, YUZINE ESA, ANNIE CHRISTIANUS, FAIZ SALEHUDIN, AZIZ ARSHAD

“… Patin fish (Pangasius nasutus) larvae hatch with immature morphological features, but as the larvae grow, all their sensory organs develop rapidly. …”
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Fournier gangrene in tuberculosis patients by M. P. Korchagin, M. A. Prokopovich

“…The Fournier's Gangrene Severity Index (FGSI) was used for assessment.Results. The analysis of case histories revealed the main features of management in patients with Fournier gangrene whose underlying process was tuberculosis. …”
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On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites by A. F. Kupin, A. S. Kovalenko

“…Based on the analysis of the principles of the construction and functioning of the neural network, which forms the basis of artificial intelligence, as an abstract model created to solve a specific problem, the capabilities of neural networks as a whole are revealed, and thus the features of working with them are demonstrated. …”
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Assessing the Reporting Quality of Mixed Methods Studies Addressing Racial and Ethnic Inequities Across the Cancer Control Continuum (2003–2022): A Methodological Review by P. Paul Chandanabhumma, Sinem Toraman Turk, Annika Agni, Kathryn Vanderboll, Sergi Fàbregues

“…The aim of this article is to characterize the methodological features and appraise the reporting quality of mixed methods research studies on racial and ethnic health inequities across the cancer control continuum (i.e., cancer prevention, detection, diagnosis, treatment, survivorship, or a combination of these domains) in the United States. …”
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A Multi-Level Semi-Automatic Procedure for the Monitoring of Bridges in Road Infrastructure Using MT-DInSAR Data by Diego Alejandro Talledo, Anna Saetta

“…The proposed approach facilitates large-scale bridge monitoring, supporting the early detection of potential structural issues.…”
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Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation by I. Yu. Malevich, A. S. Lopatchenko

“…The results of experiments on the analysis and optimization of the parameters of the end-to-end transfer characteristic of the radio channel are presented. …”
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The Use of Speech Technology in Foreign Language Pronunciation Training by Grażyna DEMENKO, Agnieszka WAGNER, Natalia CYLWIK

“…The paper presents the design of the speech corpus for the purpose of the tutoring system and the analysis of pronunciation errors. The results of the latter provide information which is important for Automatic Speech Recognition (ASR) training on the one hand, and for automatic error detection and feedback generation on the other hand. …”
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Utilizing UAV and orthophoto data with bathymetric LiDAR in google earth engine for coastal cliff degradation assessment by Paweł Tysiąc, Rafał Ossowski, Łukasz Janowski, Damian Moskalewicz

“…Our approach included change detection analysis to estimate eroded areas. Next, by applying Random Forest classifier within Google Earth Engine, we evaluated the importance of features in detecting these degraded zones. …”
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Understanding the stress field at the lateral termination of a thrust fold using generic geomechanical models and clustering methods by A. Adwan, A. Adwan, B. Maillot, P. Souloumiac, C. Barnes, C. Nussbaum, M. Rahn, T. Van Stiphout

“…<p>This study employs numerical simulations based on the limit analysis (LA) method to calculate the stress distribution in a model that includes a basal detachment, featuring the lateral termination of a generic fault under compression. …”
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ResTUnet: A Novel Neural Network Model for Nowcasting Using Radar Echo Sequences by Ground-Based Remote Sensing by Lei Zhang, Ruoyang Zhang, Yu Wu, Yadong Wang, Yanfeng Zhang, Lijuan Zheng, Chongbin Xu, Xin Zuo, Zeyu Wang

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Automated classification of chest X-rays: a deep learning approach with attention mechanisms by Burcu Oltu, Selda Güney, Seniha Esen Yuksel, Berna Dengiz

“…Chest X-ray (CXR) has become the most common alternative method for detecting pulmonary diseases such as COVID-19, pneumonia, and lung opacity due to their availability, cost-effectiveness, and ability to facilitate comparative analysis. …”
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Prevalence, risk factors, and serotypes of group B rectovaginal colonization among pregnant women: a cross-sectional study at three hospitals in Hanoi, Vietnam by Van Le Nguyen, Hung Nguyen Dao, Van Thi Hong Le, An Van Nguyen, Van Thi Thu Ha, Quynh Thi Nhu Nguyen, Hoa Thanh Do, Nguyen Thai Son, Do Ngoc Anh

“…The predominance of GBS serotypes III, V, and VI was a notable feature among the strains isolated from pregnant women in Vietnam.…”
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Influence of surface modified nanoilmenite/amorphous silica composite particles on the thermal stability of cold galvanizing coating by A.M. Al-Sabagh, M.I. Abdou, M.A. Migahed, A.M. Fadl, M.F. El-Shahat

“…Thermal stability of the nanocomposite and Zn-dust particles was determined by thermo-gravimetric analysis (TGA). From the obtained results it could be observed that the weight loss (%) as a feature of the thermal stability in case of the nanocomposite particles was 2.9 compared to 85.9 for Zn-dust powder grains. …”
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SHM System for Composite Material Based on Lamb Waves and Using Machine Learning on Hardware by Gracieth Cavalcanti Batista, Carl-Mikael Zetterling, Johnny Öberg, Osamu Saotome

“…To process the complex Lamb wave signals, the system incorporates well-known signal processing (DSP) techniques, including power spectrum density (PSD), wavelet transform, and Principal Component Analysis (PCA), for noise reduction, feature extraction, and data compression. …”
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