Deep normative modelling reveals insights into early-stage Alzheimer's disease using multi-modal neuroimaging data by Ana Lawry Aguila, Luigi Lorenzini, Mohammed Janahi, Frederik Barkhof, Andre Altmann

“…We calculated deviations, relative to the healthy population, in multi-modal MRI data of non-demented individuals in the external EPAD (ep-ad.org) cohort and explored these deviations with the aim of determining whether normative modelling could detect AD-relevant subtle differences between individuals. …”
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Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data by Roland Redon, Madi Guirema Abaker, Michel Raynaud, Pascale Prudent, Stéphane Mounier, Christian Martino, Didier Gori, Carine Demelas, Frédéric Théraulaz

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Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach by Mohamed Eldawansy, Hazem El Bakry, Samaa M Shohieb

“…ConclusionsThis study demonstrates the effectiveness of combining deep learning techniques with validated diagnostic tools for detecting gelotophobia, particularly in individuals with ASD. …”
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Spatio-temporal characterization of precipitation in the Middle and Lower Paraguay Basin based on satellite products and weather station data by R. Villalba, R. Villalba, A. Ferral, J. Baéz, J. Kurita, V. H. Gauto, J. C. Bertoni

“…Through the use of remote sensing data and geomatics techniques, this study supports the goals of GEM24, which focus on applying geospatial technologies to address environmental monitoring challenges. …”
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In-Center Hemodialysis and Patient Travel Time in Aotearoa New Zealand: A Nationwide Geospatial and Data Linkage Study by Johanna M. Birrell, Angela C. Webster, Nicholas B. Cross, Andrew Kindon, Matthew Hobbs, James A. Hedley, Tim Driscoll, Nicole L. De La Mata

“…Methods: AcceSS and Equity in Treatment for kidney disease (ASSET), a health-linked data platform, was used to include all people commencing dialysis in NZ from 2006 to 2019 (N = 6690). …”
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A novel intraoperative Esophagus-Sparing Anastomotic Narrowing Revision (ESANR) technique for patients who underwent esophagojejunostomy: three case reports and a review of the lit... by Jian Zhou, Zhenhong Wang, Guobiao Chen, Yi Li, Min Cai, Fathima Shifly Pannikkodan, Xiangzhi Qin, Dan Bai, Zhenbing Lv, Lei Gong, Yunhong Tian

“…Abstract Aim The aim of this study was to introduce the Esophagus-Sparing Anastomotic Narrowing Revision (ESANR) technique for the intraoperative management of anastomotic narrowing and to conduct a literature review to provide an algorithm for the management of narrowing and strictures that may develop secondary to esophagojejunostomy. …”
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A Data-Driven Decision-Making Support Method for Priority Determination for an Intelligent Road Problem Reporting System by Woohoon Jeon, Jinguk Kim, Joyoung Lee

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Effective Epileptic Seizure Detection with Hybrid Feature Selection and SMOTE-Based Data Balancing Using SVM Classifier by Hany F. Atlam, Gbenga Ebenezer Aderibigbe, Muhammad Shahroz Nadeem

“…Therefore, this paper presents a novel approach to enhancing epileptic seizure detection through the integration of Synthetic Minority Over-Sampling Technique (SMOTE) for data balancing and a Hybrid Feature Selection Technique—Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT). …”
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An analytical study of (Smart Tennis Sensor) technical data and its relationship to the serving accuracy of wheelchair tennis players. by زينة عبد الكريم عباس, أ.د. فاطمة عبد مالح

“… The study aimed to describe and analyze the technical data (Smart Tennis Sensor) for transmission accuracy in wheelchair tennis players and to identify the relationship between the technology data (Smart Tennis Sensor) and transmission accuracy in wheelchair tennis players. …”
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Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data by Yuping Pu, Jundong Liu, Kei Hang Katie Chan

“…Using data from the Surveillance, Epidemiology, and End Results (SEER) program, we applied the Synthetic Minority Over-Sampling Technique to address class imbalance and used stepwise forward selection, feature importance, and permutation importance for feature selection. …”
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Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study® by Michael I. Demidenko, Dominic P. Kelly, Felicia A. Hardi, Ka I. Ip, Sujin Lee, Hannah Becker, Sunghyun Hong, Sandra Thijssen, Monica Luciana, Daniel P. Keating

“…While one of the assets of Thijssen et al. (2020) was its large sample from the ABCD data, the authors used an early release that contained 38% of the full ABCD sample. …”
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A Preemptive Scan Speed Control Strategy Based on Topographic Data for Optimized Atomic Force Microscopy Imaging by Thi Thu Nguyen, Oyoo Michael Juma, Luke Oduor Otieno, Thi Ngoc Nguyen, Yong Joong Lee

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A psycho-behavioral perspective research for elderly leisure sports participation via big-data and comparative analyses by Chulhwan Choi, Sung-Un Park, Dong-Kyu Kim

“…Methods First, big-data analysis using text-mining technique was conducted using the TEXTOM program to collect and analyze data between May 1, 2023 and November 24, 2024. …”
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A Study on Denoising Autoencoder Noise Selection for Improving the Fault Diagnosis Rate of Vibration Time Series Data by Jun-gyo Jang, Soon-sup Lee, Se-Yun Hwang, Jae-chul Lee

“…This study analyzes the impact of different types of random noise applied in Denoising Autoencoder (DAE) training on fault diagnosis performance, with the aim of improving noise removal for vibration time series data. …”
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A data ensemble-based approach for detecting vocal disorders using replicated acoustic biomarkers from electroglottography by Lizbeth Naranjo, Carlos J. Pérez, Daniel F. Merino

“…Results: Simulation results indicate that integrating replicated data improves accuracy rates compared to non-replicated models. …”
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Spinal flexibility in idiopathic scoliosis: A quantitative approach to Grade I (facet joint osteotomy, FJO) and Grade II (ponte osteotomy, PO) osteotomy techniques by Yibing Liu, Zhenzhuo Zhang, Guomao Zhu, Jinqian Liang

“…Purpose: The purpose of this study was to evaluate the role of preoperative spinal flexibility in guiding osteotomy selection for idiopathic scoliosis (IS) surgery. Specifically, it aimed to identify a flexibility threshold to optimize the decision-making process between Grade I (Facet Joint Osteotomy, FJO) and Grade II (Ponte Osteotomy, PO) osteotomy techniques. …”
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Investigating the Impact of Optical Snow Cover Data on L-Band InSAR Snow Water Equivalent Retrievals by Jack Tarricone, Ross Palomaki, Karl Rittger, Anne Nolin, Hans-Peter Marshall, Carrie Vuyovich

“…To address this challenge in SWE monitoring, we evaluated a multisensor approach that leverages the strengths of both optical and radar sensors. Our study aims to understand how differences between optically derived snow cover data products propagate variability and uncertainty into interferometric synthetic aperture radar (InSAR) SWE change retrievals. …”
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The Efficacy of Remote Relaxation and Imagery Techniques in Reducing Moderate to Severe Stress and Anxiety among Healthcare Workers During a Lethal Pandemic: A Pilot Study by Mahya Mojahedi

“…Background and Aim: This pilot study aimed to assess the impact of a combination of progressive muscle relaxation (PMR) and imagery techniques on healthcare workers experiencing moderate to severe levels of anxiety and stress during the Covid-19 pandemic. …”
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Comparison of foci of active inflammation and fatty degeneration according to MRI and CT data of syndesmophytes in patients with ankylosing spondylitis by Magomed K. Kurbanmagomedov, Ksenia V. Sakharova, Ekaterina M. Agafonova, Margarita M. Urumova, Svetlana O. Krasnenko, Anastasia E. Dimitreva, Tatiana V. Dubinina, Shandor F. Erdes

“…Correlation analysis showed a certain direct relationship only between the number of syndesmophytes and foci of chronic inflammation (r=0.68).Discussion. Preliminary data show that the proposed method for comparing MRI and CT lesions in AS allows us to jointly study the localization of MRI and CT spinal injuries in patients with AS using multidirectional sections. …”
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NOx emissions reduction through applying the exhaust gas recirculation (EGR) technique for a diesel engine fueled with a diesel-biodiesel‑diethyl ether blend by Abdulkarim Youssef, Amr Ibrahim

“…The aim of the current study is to reduce the concentration of the nitrogen oxide (NOx) emissions by applying the EGR technique while utilizing an optimum value of 5% DEE in a diesel-biodiesel blend. …”
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