Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

“…The synergy lies in DA’s ability to reduce dimensionality and identify meaningful features, which enhances the ML models’ interpretability, while ML leverages these features to model non-linear and time-dependent patterns that DA alone cannot address. …”
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Novel parent survey measures sensory behaviors incorporating sensory modality and stimulus intensity by Connor Yee, Ellie Rather, Sakib Hoque, Joon Lee, Stephanie Marton, Jill Roth, Frederick L. Oswald, Kenneth J. Nobleza, Ankona Banerjee, Holly Harris, Ariel M. Lyons-Warren

“…The purpose of this study was to validate the SRQP against established tools and assess its efficacy in identifying nuanced sensory processing patterns in children with autism. Methods: A convenience sample of 317 participants (57 with autism, 260 typically developing) aged 3–17 years were enrolled in a cross-sectional study. …”
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Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing by Xi Cheng, Jieyu Yang, Zhiyong Han, Guozhong Shi, Deng Pan, Likang Meng, Zhuojun Zeng, Zhanfeng Shen

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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

“…Therefore, the research bridges the security gap in the Base64 cryptographic algorithm by factoring the key mechanism of the RNS based algorithm into the newly developed algorithm. The pattern and confusion produced during the methodology procedure safeguards the data more effectively as shown in the cipher text generated.…”
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STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES by V. A. Mubassarova, L. M. Bogomolov, A. S. Zakupin, I. A. Panteleev, O. B. Naimark

“…This trend seems to be a specific feature of changes in localization of deformation in the loaded rock samples impacted by electric pulses. …”
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Multisite study using a customised NLP model to predict disposition in the emergency department: protocol paper by Hamed Akhlaghi, Sam Freeman, Isuru Ranapanada, Md Ali Hossain, Kogul Srikandabala, Damminda Alahakoon, Md Anisur Rahman

“…Generative artificial intelligence, along with a medical dictionary, will be employed to augment and contextually reconstruct triage notes to disambiguate and improve linguistic quality. Text features will be extracted, and cluster analysis will be performed on the extracted topics and text features to identify distinct patterns.…”
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

“…To address this, five regression models were developed to predict VF measures from OCT, Shapley Additive exPlanations (SHAP) analysis was performed for interpretability, and a clinical software tool called OCT to VF Predictor was developed. …”
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Systemic Hemodynamic Changes after Maximally Allowable Liver Resection in Rats by P. A. Ermolaev, T. P. Kramykh, L. O. Barskaya

“…The critical time found by the authors for the minimum cardiac output was an hour after surgery. The distinctive features of low cardiac output syndrome after maximally allowable liver resection are its reversible pattern and reflectory bradycardia on postoperative day 1. …”
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Revisiting surfactant protein D: an immune surveillance molecule bridging innate and adaptive immunity by Azra Shamim, Mughair Abdul Aziz, Faryal Saeed, Rekha Kumari, Ann Mary Joseph, Pretty Ponnachan, Uday Kishore, Uday Kishore, Khaled Masmoudi

“…SP-D has a range of strategies to recognise pathogen-associated molecular patterns (PAMPs) and thus act as a soluble PAMP-recognizing receptor (PRR), and subsequent destruction of the pathogens directly, or indirectly via phagocytic cells. …”
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A Comprehensive Joint Learning System to Detect Skin Cancer by Lubna Riaz, Hafiz Muhammad Qadir, Ghulam Ali, Mubashir Ali, Muhammad Ahsan Raza, Anca D. Jurcut, Jehad Ali

“…This research offers a joint learning system using Convolutional Neural Networks (CNN) and Local Binary Pattern (LBP) followed by its concatenation of all the extracted features through CNN and LBP architecture. …”
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Assessing the Impact of Land Use Changes on Ecosystem Service Values in Coal Mining Regions Using Google Earth Engine Classification by Shi Chen, Jiwei Qin, Shuning Dong, Yixi Liu, Pingping Sun, Dongze Yao, Xiaoyan Song, Congcong Li

“…We employed a random forest algorithm to classify land use patterns and calculated key indices—including the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), enhanced vegetation index (EVI), and bare soil index (BSI)—which were combined with topographic features. …”
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Navigating the evolution: a comprehensive review of sustainable finance in mergers and acquisitions [version 1; peer review: 2 approved] by Kishan Jee, Debdas Rakshit, Sabyasachi Mondal, Satish Chandra Tiwari

“…Each stratum of papers is meticulously analysed and discussed, offering insights into key themes and patterns. To guide future research initiatives, we present a synthesis of pertinent research questions, exploring avenues such as the incorporation of innovative financial instruments like green bonds and artificial intelligence. …”
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Global trends and burdens of neglected tropical diseases and malaria from 1990 to 2021: a systematic analysis of the Global Burden of Disease Study 2021 by Jingjing Chen, Xuebin Tian, Deli Guo, Hongyu Gu, Yazhuo Duan, Dejun Li

“…To further examine the patterns and forecasts, the age–period–cohort (APC) and Bayesian age‒period‒cohort (BAPC) models were used. …”
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The role of JPT1 in hepatocellular carcinoma: tumor progression, microtubule dynamics regulation, and potential mechanisms within the immune microenvironment by Yipin Lu, Peng Xu, Sha Li, Jie Yao

“…Methods This study integrated data from TCGA-LIHC and GEO (GSE14520) databases to systematically investigate the expression profile of JPT1 and its association with clinicopathological features and prognosis in HCC patients. A pan-cancer analysis was performed to evaluate JPT1 expression patterns and prognostic value across multiple cancer types. …”
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Genome-wide identification, expression analysis, and response to abiotic stress of the phosphate transporter gene family in cucumber (Cucumis sativus L.) by Kunhao Xie, Mintao Sun, Xiaoqin Wang, Xiaoya Zhou, Qinghua Di, Yang Li, Guoxiu Wu, Yansu Li, Chaoxing He, Shengli Li

“…Cis-regulatory element analysis showed that the promoter regions of CsPHT genes contained diverse cis-regulatory elements involved in stress response, hormonal regulation, and developmental processes. Expression profiling further revealed that several CsPHT genes, including CsPT1-3, CsPT1-4, CsPT1-7, CsPT1-9, CsPT1-11, CsPT2-1, and CsPHO1-3B, exhibited tissue-specific expression patterns in roots, leaves, and flowers. …”
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Adaptive meta-modeling of evapotranspiration in arid agricultural regions of Saudi Arabia using climatic factors, drought indices and MODIS data by Osama Elsherbiny, Salah Elsayed, Obaid Aldosari, Muhammad Sohail Memon, Ahmed Elbeltagi

“…Study Region: The research was conducted in three arid agricultural regions of Saudi Arabia: Wadi Ad-Dawasir, Ranya, and Abha.Study Focus: The objective is to develop an intelligent approach that utilizes ET-AI (Release 1, developed by Osama Elsherbiny), an accessible and user-friendly software, to compute actual evapotranspiration (AET) with both speed and accuracy. …”
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Clinical Spectrum of Acquired Demyelinating Syndromes in Children: A Tertiary Hospital Experience by Mohammed Almuqbil, Lama Aljomah, Nora Almahmoud, Waleed Altuwaijri, Ahmad Alrumayyan, Muhammad T. Alrifai

“…The key findings are the subsequent development of MS from CIS and MOGAD, varying patterns of first attack, and imaging characteristics like callososeptal interface lesions in MS and posterior fossa hyperintensities in MOGAD. …”
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Assessing the Consistency of Five Remote Sensing-Based Land Cover Products for Monitoring Cropland Changes in China by Fuliang Deng, Xinqin Peng, Jiale Cai, Lanhui Li, Fangzhou Li, Chen Liang, Wei Liu, Ying Yuan, Mei Sun

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Regulatory signatures involved in the cell cycle pathway contribute to egg production heterosis in chicken by Jingwei Yuan, Yuanmei Wang, Yanyan Sun, Yunlei Li, Aixin Ni, Qin Li, Hanhan Yang, Xinying Xu, Yunhe Zong, Hui Ma, Jilan Chen

“…Then, we identified consensus co-expression modules (CMs) that showed divergent expression pattern among crossbred (WY or YW) and purebreds (WW and YY). …”
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Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks by Adoración Antolí, Adoración Antolí, Francisco Javier Rodriguez-Lozano, José Juan Cañas, Julia Vacas, Julia Vacas, Fátima Cuadrado, Fátima Cuadrado, Araceli Sánchez-Raya, Araceli Sánchez-Raya, Carolina Pérez-Dueñas, Carolina Pérez-Dueñas, Juan Carlos Gámez-Granados

“…Two key challenges must be addressed: the difficulty in reliably distinguishing between disorders with overlapping features, and the efficient management of eye-tracking data to yield clinically meaningful outcomes.PurposeThe aim of this study is to apply explainable machine learning (XML) algorithms to eye-tracking data from social attention tasks involving children with ASD, developmental language disorder (DLD), and typical development (TD), in order to assess classification accuracy and identify the variables that best differentiate between groups.MethodsNinety-three children participated in a visual preference task that paired social and non-social stimuli, specifically designed to capture features characteristic of ASD. …”
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