Gestational diabetes mellitus and obesity: effects on offspring by O. V. Rozhkova, O. V. Remneva, N. I. Fadeeva, Yu. V. Korenovskiy, S. D. Yavorskaya

“…CHAID method (Chi Squared Automatic Interaction Detection) was used to create an algorithm for predicting adverse perinatal outcomes in GDМ. …”
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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

“…Additionally, we used SHAP values to interpret the contributions of these features to the predictions. Results The CatBoost algorithm performed excellently in classification tasks for insulin resistance. …”
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Research on an orchard row centreline multipoint autonomous navigation method based on LiDAR by Chen Zhenyu, Dou Hanjie, Gao Yuanyuan, Zhai Changyuan, Wang Xiu, Zou Wei

“…This algorithm retains the tree trunk position information from the point cloud based on tree trunk features to obtain a 2D grid map for orchard navigation, and the navigation point coordinates were calculated based on tree trunk positions. …”
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Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques by Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal-Reyes, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya-Arandia, Edgar A. Ibarra-Flores

“…We normalized and prepared the data, then we employed PCA and UMAP to reduce dimensionality and facilitate visualization. Using the k-means algorithm, we segmented the patients into distinct groups based on their clinical features. …”
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Radiomics in the differential diagnosis of glioblastoma under the primary neurooncoimaging conditions by Nikita E. Maslov, Daria A. Valenkova, Alexander M. Sinitсa, Gennadiy E. Trufanov, Vladimir M. Moiseenko, Alexander Yu. Efimtsev, Vera V. Chernobrivtseva

“…We conducted a retrospective comparative statistical analysis of radiomic features extracted from 46 conventional brain MR images of the patients with adult-type diffuse gliomas and identified IDH mutation status using the Random Forest algorithm of machine learning in combination with various preprocessing methods of the source imaging data and a semi-automated LevelTracing tool used for segmentation of the regions of interest (ROI). …”
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Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study by Matthew Silvestrini, Clarissa Lui, Anil Patwardhan, Ying Chen, Tayyeba Ali, Elie Glik, Honglei Wu, Brian Levinstein, Adrianna Wenz, Nathan Shemonski, Lin Yang, Ian Atkinson, Sam Kavusi

“… Abstract BackgroundAccess to screening continues to be a barrier for the early detection of diabetic retinopathy (DR). Primary care–based diabetic retinopathy screening could improve access, but operational challenges, such as cost and workflow management, hamper the widespread adoption of retinal camera systems in primary care clinics in the United States. …”
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The risk factors of cardiovascular disorders in children with chronic bronchopulmonary diseases by O. Ye. Pashkova, G. O. Lezhenko

“…The purpose was to determine the features of cardiovascular system morphofunctional state and the risk factors for cardiovascular disorders formation in children with chronic bronchopulmonary diseases. …”
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Discrimination between sea ice and clouds over the Chukchi Sea via China’s ultraviolet–visible-infrared observations by Ziyi Suo, Yingcheng Lu, Lijian Shi, Bin Zou, Qing Wang, Ling Li, Jun Tang, Weimin Ju, Manchun Li

“…The ice/cloud identification results have been further applied to sea ice concentration (SIC) estimation, and extensive trials of this UV-based ice/cloud detection approach in the Arctic Passages demonstrates its potential applicability.…”
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Genetic findings of children with congenital heart diseases using chromosomal microarray and trio-based whole exome sequencing by Rui Guo, Chunhong Duan, Mehdi Zarrei, Miriam S. Reuter, Rui Dong, Guangye Zhang, Xiaomeng Yang, Haiyang Zhang, Ying Wang, Stephen W. Scherer, Yi Liu, Zhongtao Gai

“…In individuals with extracardiac features, the overall detection rate was significantly higher (61.5%) than in individuals with isolated CHD (17.3%) (P = 4.6 × 10− 3). …”
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Number of intraepithelial lymphocytes and presence of a subepithelial band in normal colonic mucosa differs according to stainings and evaluation method by Anne-Marie Kanstrup Fiehn, Peter Johan Heiberg Engel, Ulla Engel, Dea Natalie Munch Jepsen, Thomas Blixt, Julie Rasmussen, Signe Wildt, Wojciech Cebula, Andreea-Raluca Diac, Lars Kristian Munck

“…Sixty-one patients without diarrhea referred to screening colonoscopy due to a positive feacal blood test and presenting with endoscopically normal mucosa were included. Basic histological features, number of IELs, and thickness of a subepithelial band was manually evaluated and a deep learning-based algorithm was developed to digitally determine the number of IELs in each of the two compartments; surface epithelium and cryptal epithelium, and the density of lymphocytes in the lamina propria compartment. …”
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A validated heart-specific model for splice-disrupting variants in childhood heart disease by Robert Lesurf, Jeroen Breckpot, Jade Bouwmeester, Nour Hanafi, Anjali Jain, Yijing Liang, Tanya Papaz, Jane Lougheed, Tapas Mondal, Mahmoud Alsalehi, Luis Altamirano-Diaz, Erwin Oechslin, Enrique Audain, Gregor Dombrowsky, Alex V. Postma, Odilia I. Woudstra, Berto J. Bouma, Marc-Phillip Hitz, Connie R. Bezzina, Gillian M. Blue, David S. Winlaw, Seema Mital

“…Recent computational algorithms such as SpliceAI have shown an ability to predict such variants, but are not specific to cardiac-expressed genes and transcriptional isoforms. …”
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Murine leukemia virus p12 tethers the capsid-containing pre-integration complex to chromatin by binding directly to host nucleosomes in mitosis. by Madushi Wanaguru, David J Barry, Donald J Benton, Nicola J O'Reilly, Kate N Bishop

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Accuracy Assessment of the Antarctic Digital Elevation Model Based on the ICESat-2 Elevation Data by Jie WANG, Zhiyu ZHANG, Yang JIANG, Pufan ZHAO, Songhua WU

“…ICESat-2, a next-generation laser altimetry satellite, features an exceptionally small laser footprint spacing of merely 0.7 m. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…Analyze the importance of features in the optimal model. The Louvain community detection algorithm and structural equation modeling were used to investigate community relationships and potential causal effects. …”
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Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

“…Although CNN was initially designed for image processing, this algorithm also effectively detects complex patterns in non-image data, such as IoT network traffic, due to its ability to extract hierarchical features. …”
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Clinical and Epidemiological Manifestations of Ixodic Tick-Borne Borreliosis Foci in the Tomsk region by O. V. Voronkova, E. N. Ilyinskikh, A. A. Rudikov, T. N. Poltoratskaya, I. E. Esimova, L. V. Lukashova, M. R. Karpova

“…In the Tomsk region for many years, the average long-term incidence of Ixodic tick-borne borreliosis exceeds the Russian one by more than 3 times. Aim. Identify features the features of the clinical and epidemiological manifestations of the Ixodic tick borne borreliosis foci in the Tomsk region; to identify priority areas for carrying out problem-oriented research in the field of ecology, epidemiology and the clinic of borreliosis infection in the Tomsk region. …”
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Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol by Martin Eklund, Brett Delahunt, Lars Egevad, Hemamali Samaratunga, Mattias Rantalainen, Marcello Gambacorta, Einar Gudlaugsson, Bodil Ginnerup Pedersen, Xiaoyi Ji, Karina Dalsgaard Sørensen, Kelvin Szolnoky, Nita Mulliqi, Anders Blilie, Henrik Olsson, Matteo Titus, Geraldine Martinez Gonzalez, Sol Erika Boman, Masi Valkonen, Svein Reidar Kjosavik, José Asenjo, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Łowicki, Kristina Hotakainen, Päivi Väre, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Toyonori Tsuzuki, Emilius Adrianus Maria Janssen, Kimmo Kartasalo

“…Similar challenges complicate the assessment of other prognostic features like cribriform cancer morphology and perineural invasion. …”
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Spectroscopic Ages for 4 Million Main-sequence Dwarf Stars from LAMOST DR10 Estimated with a Data-driven Approach by Jia-Hui Wang, Maosheng Xiang, Meng Zhang, Ji-Wei Xie, Jian Ge, Jinghua Zhang, Lanya Mou, Ji-Feng Liu

“…The catalog is publicly accessible and can be helpful for extensive sciences from detection and characterization of Earthlike planets to Galactic archaeology.…”
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An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates by J. Hu, C. Miao, J. Su, Q. Zhang, J. Gou, J. Gou, Q. Sun, Q. Sun

“…Regarding precipitation event detection, CHM_PRE V2 achieved a Heidke skill score of 0.68 and a false alarm ratio of 0.24, surpassing the previously optimal dataset by 17.24 % and 29.17 %, respectively. …”
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A VLBI Software Correlator for Fast Radio Transients by Calvin Leung, Shion Andrew, Kiyoshi W. Masui, Charanjot Brar, Tomas Cassanelli, Shami Chatterjee, Victoria Kaspi, Kholoud Khairy, Adam E. Lanman, Mattias Lazda, Juan Mena-Parra, Gavin Noble, Aaron B. Pearlman, Mubdi Rahman, Pranav Sanghavi, Vishwangi Shah, (CHIME/FRB Collaboration)

“…This paper describes an offline VLBI software correlator written in Python for the CHIME/FRB Outriggers project. It includes features well-suited to modern widefield instruments like multibeaming/multiple phase center correlation, pulse gating including coherent dedispersion, and a novel correlation algorithm based on the quadratic estimator formalism. …”
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