Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact by Enrique Mondragon-Estrada, Jane W. Newburger, Steven R. DePalma, Martina Brueckner, John Cleveland, Wendy K. Chung, Bruce D. Gelb, Elizabeth Goldmuntz, Donald J. Hagler, Jr., Hao Huang, Patrick McQuillen, Thomas A. Miller, Ashok Panigrahy, George A. Porter, Jr., Amy E. Roberts, Caitlin K. Rollins, Mark W. Russell, Martin Tristani-Firouzi, P. Ellen Grant, Kiho Im, Sarah U. Morton

“…While genetic factors contribute to sulcal features, the association of noncoding de novo variants (ncDNVs) with sulcal patterns in people with CHD remains poorly understood. …”
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Persistent homology based topological analysis on the gestalt patterns during human brain cognition process by Zaisheng LIU, Fei NI, Rongpeng LI, Honggang ZHANG, Chang LIU, Jiefang ZHANG, Songyun XIE

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State-and-Evolution Detection Model for Characterizing Farmland Spatial Pattern Variation in Hengyang Using Long Time Series Remote Sensing Product by Yunong Ma, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Xiongwei Guan, Xiangnan Liu, Meiling Liu

“…Finally, spatiotemporal evolution features, namely evolution times, evolution duration, and dominant evolution pattern, were quantified. …”
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Exploring engagement patterns within a mobile health intervention for women at risk of gestational diabetes by Signe B Bendsen, Timothy C Skinner, Sharleen L O’Reilly, Elena Rey Velasco, Mathias S Heltberg, Ditte H Laursen

“…Understanding these differences is essential to provide personalised support during pregnancy and has implications for tailored medicine, digital health, and intervention development. Further research is needed to validate these findings across diverse healthcare settings, exploring engagement patterns throughout different pregnancy phases and their impact on health outcomes.…”
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Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns by Zeeshan Ali, Jihoon Moon, Saira Gillani, Sitara Afzal, Muazzam Maqsood, Seungmin Rho

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Pine Wilt Disease Monitoring Using Multimodal Remote Sensing Data and Feature Classification by Xin Ye, Hanwen Yu, Yan Yan, Tieming Liu, Yan Zhang, Taoli Yang

“…Statistical analysis of SAR-derived moisture content reveals significant differences in moisture variation patterns between diseased and healthy trees, enhancing the interpretability of the input features for the neural network. …”
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing by Akwasi Tagoe, Alexander Silva, Cengiz Koparan, Aurelie Poncet, Dongyi Wang, Donald Johnson, Margaret Worthington

“…Reliable and standardized techniques to record and evaluate crop features using agricultural technology are essential for improving agricultural systems. …”
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Patterns of changes in immune and hormonal regulation in hand-arm vibration syndrome and sensorineural hearing loss by G. M. Bodienkova, S. I. Kurchevenko

“…More pronounced changes were observed in sensorineural hearing loss. A common pattern in patients with hand-arm vibration syndrome and sensorineural hearing loss was an increase in cortisol, prolactin and IL-8 and a decrease in free T4 and IL-1β. …”
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Heterogeneous appetite patterns in depression: computational modeling of nutritional interoception, reward processing, and decision-making by Yuuki Uchida, Yuuki Uchida, Takatoshi Hikida, Manabu Honda, Yuichi Yamashita

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Identification of natural and anthropogenic factors in the spatial pattern of Pb in the surface soil of the Nanliu River Basin by Xu Liu, Zhongfang Yang, Huading Shi, Tiansheng Wu, Tao Yu, Bo Li, Lei Wang, Yuxiang Shao, Zexin He, Minghui Xie, Chenning Deng

“…Soil samples were collected and analyzed for Pb concentrations, revealing that granite and urban development significantly control Pb occurrence. The results indicate that the spatial pattern of soil Pb is jointly controlled by soil parent materials and anthropogenic factors, with varying degrees of influence across spatial scales. …”
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Connectivity patterns between floodplain lakes and neighboring streams in the historical floodplain of the Lower Mississippi River by Hafez Ahmad, Leandro E. Miranda, Corey G. Dunn, Melanie R. Boudreau, Michael E. Colvin

“…We aimed to assess connection frequency patterns between lakes and streams. Eight metrics describing temporal aspects of hydrologic connectivity were estimated, identifying trends by lake features and by stream size. …”
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Expression pattern and clinical significance of MerTK on circulating NK cells in systemic lupus erythematosus by Jianping Guo, Yin Su, Xiao Han, Yin Zhu, Haojie Xu, Ranran Yao, Ziye Wang, Ruyu Liang, Wenwen Pei, Renge Liang

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PERSONAL FEATURES OF CHILDREN AND ADOLESCENTS ILL WITH RESPIRATORY TUBERCULOSIS EXPOSED AND NOT EXPOSED TO THE SOURCE OF INFECTION by N. V. Zolotova, A. A. Akhtyamova, V. V. Streltsov, G. V. Baranova, E. S. Ovsyankina, N. V. Yukhimenko

“…Identified personal features are considered to be psychological factors determining the hyperactivation of adaptive systems at the pre-morbid state and consequent development of structural functional disorders in various systems of the host, as well as providing impact on the course of tuberculosis.…”
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The Effect of Impactor Geometry on the Damage Patterns Generated by Low-Velocity Impacts on Composite Pressure Vessels by Shiva Rezaei Akbarieh, Dayou Ma, Claudio Sbarufatti, Andrea Manes

“…The research then analyzes how the shape and size of impactors influence damage patterns in the curved vessel, aiming to establish a relationship between impactor geometry features and damage, which is crucial for the design and applications of carbon fiber composites in such an engineering application.…”
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The Application of Digital Holographic Speckle Pattern Interferometry to the Structural Condition Study of a Plaster Sample by Kyriaki Kosma, Vivi Tornari

“…The fringe patterns in the interferometric images reveal features and characteristics of the interior of the material, with the experimental method and the post-process analysis adopted in this work offering accuracy, sensitivity and full-field diagnosis, in a completely non-destructive manner, without the need of sampling.…”
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Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

“…Grasshopper detection methods are being developed using traditional forecasting methods by expert entomologists. …”
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The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns by Lianne Grin, Sieglinde Bogaert, Saskia Wijnands, Arnold Besselaar, Marieke van der Steen, Jesse Davis, Benedicte Vanwanseele

“…A relapsed clubfoot typically involves a combination of deformities affecting a child’s movement pattern across multiple joint levels, formed by a complex kinematic chain. …”
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Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

“…Moreover, representative file access patterns, including temporal, spatial, length, and frequency patterns, are identified for individual files, directories, and file formats, and used as features. …”
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AI‐Driven Defecation Analysis by Smart Healthcare Toilet: Exploring Biometric Patterns and Eu‐Tenesmus by Zhiquan Song, TaeHyung Kwon, Jeung Lee, Daeyoun D. Won, Brian J. Lee, Hyuk Soon Choi, Joseph C. Liao, Walter G. Park, Irene Sonu, Stephan Rogalla, Michael J. Rosen, David L. Hu, Jonathan Kuang Ziyang, Sunny Hei Wong, Bong Hyun Jun, Soh Kim, Seung‐min Park

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Frequency and Patterns of Congenital Heart Defects in Neonates of Diabetic Mothers at a Tertiary Care Hospital by Fazal Rehman, Shahnaz Anwer, Anwar Ul Haq, Iftikhar Ahmad, Muhammad Adnan Zafar, Umar Shafiq

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