The Application of Machine Learning Models to Predict Stillbirths by Oguzhan Gunenc, Sukran Dogru, Fikriye Karanfil Yaman, Huriye Ezveci, Ulfet Sena Metin, Ali Acar

“…<i>Background and Objectives</i>: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. …”
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The evaluation of transcription factor binding site prediction tools in human and Arabidopsis genomes by Dinithi V. Wanniarachchi, Sameera Viswakula, Anushka M. Wickramasuriya

“…Further, MCAST and DWT-toolbox managed to demonstrate the highest sensitivity across all three data types real, generic, and Markov. Among the de novo motif discovery tools, the Multiple Em for Motif Elicitation (MEME) emerged as the best performer. …”
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Characterization of Bunch Compactness in a Diverse Collection of <i>Vitis vinifera</i> L. Genotypes Enriched in Table Grape Cultivars Reveals New Candidate Genes Associated with Be... by Marco Meneses, Claudia Muñoz-Espinoza, Sofía Reyes-Impellizzeri, Erika Salazar, Claudio Meneses, Katja Herzog, Patricio Hinrichsen

“…Then, GWASs based on a set of 70,335 SNPs revealed that GBS analysis in this same population enabled the detection of several SNPs associated with different sub-traits, with a locus for ‘berries per bunch’ in chromosome (chr) 18 being the most prominent. …”
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Towards enhancing field‐based vegetation monitoring: A deep learning approach for species coverage estimation from ground‐level imagery by Pauline Müller, Stefano Puliti, Johannes Breidenbach

“…First, we trained a bounding‐box frame detection model to crop the image to the same area assessed in the field. …”
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Assessment of Lassa fever reporting among healthcare workers in a Southwest state, Nigeria by Adewale Moses Adejugbagbe, David Dele Sunday, Ayokunle Oluwafiyifunmi Orimolade, Olawumi Feyisike Johnson, Stephen Fagbemi, Elvis Efe Isere, Aderonke Fagbemi

“…A pre-tested semi-structured questionnaire was administered to participants to assess their knowledge of Lassa fever, attitudes towards reporting notifiable diseases and practices for reporting suspected cases of LF. Data were analysed using frequency, proportions, the Chi-Square test and binary logistic regression with statistically significance set at p < 0.005. …”
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Methods to account for incomplete viewsheds in distance sampling by David M. Delaney, Tyler M. Harms, Jonathan P. Harris, Dan J. Kaminski, Jace R. Elliott, Stephen J. Dinsmore

“…The probability density function (PDF) of the sampling area specifies the expected proportion of the population that occurs at each distance from the observer and is a fundamental component of distance sampling models. Current approaches set this PDF either to equal probability at each distance, for line transects, or an increasing probability for point transects (because sampling area increases with radial distance from a point). …”
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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

“…It includes some such issues as follows: data privacy, centralized vulnerability, inefficiency in fraud detection and much more. …”
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Adaptive Beamforming for On-Orbit Satellite-Based ADS-B Based on FCNN by Yiran Xiang, Songting Li, Lihu Chen

“…Its detection success probability is 10% higher than those of existing methods, and it has better robustness against large amounts of data.…”
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Seismic fault identification method based on CBAM-TransUNet by Xin WANG, Wei ZHANG, Tongjun CHEN, Ao ZHANG, Dang ZHAO

“…Finally, the constructed model was used to interpret the faults in the real seismic data set of Block F3 in the North Sea off the Netherlands. …”
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DISTRIBUTION PATTERN FOR HLA SPECIFICITIES IN THE PATIENTS WITH ACUTE MYELOID LEUKEMIA by I. R. Ramilyeva, Zh. K. Burkitbaev, S. A. Abdrakhmanova, A. A. Turganbekova, D. K. Baimukasheva, E. B. Zhiburt

“…Genomic DNA for HLA typing was isolated from peripheral blood leukocytes by proteinase method using columns with silica membrane and using a set of reagents PROTRANS DNA BOX (Protrans, Germany). …”
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Gender Classification From Pashto Handwritten Text Images by Khan Sultan, Riaz Ahmad, Siraj Muhammad, Sulaiman Almutairi, Mohammed Abohashrh, Khalil Ullah, Abdallah Namoun, Ibrar Hussain

“…Although SVM, a widely used machine learning model, achieved an accuracy of 61.29%, YOLO8 reached a significantly higher accuracy of 77% in the same data set. This performance gap highlights the advantages of using advanced deep learning models for complex pattern recognition tasks in CV. …”
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Identifying key signs of motor neurone disease in primary care: a nested case–control study using the QResearch database by Aleksandar Radunović, Carol Coupland, Julia Hippisley-Cox, Christopher J McDermott, Tom A Ranger, Judith Burchardt, Xue W Mei

“…The nested case–control data set comprised of 6437 cases of MND diagnosed between January 1998 and December 2019, matched by year of birth, gender, general practice and calendar year to 62 003 controls.Main outcome measures Clinically recognised symptoms and signs of MND prior to diagnosis and symptoms and factors which are relevant in primary care setting.Results This study identified 17 signs and symptoms that were independently associated with MND diagnosis in a multivariable analysis. …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Submodule capacitor aging poses significant challenges to the safe operation of modular multilevel converter (MMC) systems. Traditional detection methods rely predominantly on offline tests, lacking real-time evaluation capabilities. …”
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Evidence for YORP-induced Spin Deceleration in Asteroid (433) Eros by Shuai Feng, Shaoming Hu, Xu Chen, Liyong Zhou, Yangbo Xu, Zehua Qi

“…Besides, we also repeated the analysis on a subset of data with the most reliable light curves. While this reduced data set yields υ = (−3.0 ± 4.4) × 10 ^−10 rad day ^−2 , the optimal υ remains negative, suggesting a consistent trend. …”
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AI-driven prediction of insulin resistance in non-diabetic populations using minimal invasive tests: comparing models and criteria by Weihao Gao, Zhuo Deng, Zheng Gong, Ziyi Jiang, Lan Ma

“…Methods We selected simple and accessible input features, including age, gender, height, weight, pulse, blood pressure, waist circumference, and fasting blood glucose. Data from the National Health and Nutrition Examination Survey (NHANES, 1999–2020) were used to construct four AI-based prediction models, which were validated using data from the China Health and Retirement Longitudinal Study (CHARLS, 2015). …”
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Vigilance State Classification of Comatose Patients Based on Multifractal Analysis of EEG Signals by Bechir Hbibi, Lamine Mili, Kamel Baccar, Abdelkader Mami

“…In this study, we analyze the multifractal characteristics of a data set comprising 27 EEG signals where the objective is to demonstrate the efficacy of this method in differentiating the states of vigilance in patients. …”
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The TFRC as a prognostic biomarker and potential therapeutic target in cervical cancer: a preliminary study by Jing Wang, Wen An, Ziyao Pang, Manyin Zhao, Anli Xu, Junwei Zhao

“…Thus, specific biomarkers for the diagnosis and prognosis of CIN and early-stage cervical cancer should be urgently explored.MethodsWe analyzed tumor based on genes closely related to OS in the database with GSE63514, GSE7803, GSE9750 and TCGA data sets, the top 20 core genes were screened out. …”
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Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning by Mostafa Rezapour, Aarthi Narayanan, Wyatt H. Mowery, Metin Nafi Gurcan

“…RNA-Seq uniquely identified genes such as CASP5, USP18, and DDX60, which are important in immune regulation and antiviral defense and were not detected by NanoString, demonstrating the broader detection capabilities of RNA-Seq. …”
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Osteoporosis Evaluation by Radiofrequency Echographic Multispectrometry (REMS) in Primary Healthcare by Ana Vieira, Rute Santos

“…This non-ionising, portable and accessible method enables early detection of osteoporosis in primary healthcare settings. …”
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Exploring weighting schemes for the discovery of informative generalized between pathway models to uncover pathways in genetic interaction networks by Kevin M. Yu, Lenore J. Cowen

“…Different probabilistic null models (minimum, multiplicative, and logarithmic) to set edge weights appropriately were studied empirically by Mani et al. where the goal was to determine the best weighting scheme for detecting the presence or absence of epistasic effect in an individual double knockout in isolation. …”
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