The Association between Hepcidin and Iron Status in Children and Adolescents with Obesity by Ekkarit Panichsillaphakit, Orapa Suteerojntrakool, Chitsanu Pancharoen, Issarang Nuchprayoon, Sirinuch Chomtho

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Time-lapse imaging of identified granule cells in the mouse dentate gyrus after entorhinal lesion in vitro reveals heterogeneous cellular responses to denervation by Davide Greco, Alexander Drakew, Nina Rößler, Nina Rößler, Tassilo Jungenitz, Peter Jedlicka, Peter Jedlicka, Thomas Deller

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Allergic conditions and risk of rheumatoid arthritis: a Swedish case–control study by Johan Askling, Lars Klareskog, Lars Alfredsson, Marie Holmqvist, Helga Westerlind, Cynthia S Crowson, Vanessa L Kronzer

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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…To improve robustness, additive white Gaussian noise (AWGN) is introduced at various signal-to-noise ratio (SNR) levels to augment the dataset. The SCF-based FE method captures distinctive event-type characteristics by exploiting the spectral correlation of signals, allowing the CNN architecture to effectively learn and generalize event patterns. …”
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Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

“…Four ML algorithms were utilized, including random forest (RF), logistic regression (LR), k-nearest neighbor (K-NN), and decision tree (DT). The dataset used in this study suffers from the class imbalance issue; therefore, experiments were conducted using the original and sampled datasets. …”
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Rutting Caused by Grouser Wheel of Planetary Rover in Single-Wheel Testbed: LiDAR Topographic Scanning and Analysis by Keisuke Takehana, Vinicius Emanoel Ares, Shreya Santra, Kentaro Uno, Eric Rohmer, Kazuya Yoshida

“…This paper presents datasets and analyses of 3D LiDAR scans capturing the rutting behavior of a rover wheel in a single-wheel terramechanics testbed. …”
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Barriers and facilitators to the conduct of critical care research in low and lower-middle income countries: A scoping review. by Bharath Kumar Tirupakuzhi Vijayaraghavan, Ena Gupta, Nagarajan Ramakrishnan, Abi Beane, Rashan Haniffa, Nazir Lone, Nicolette de Keizer, Neill K J Adhikari

“…Our review identified potential solutions such as developing a mentorship network, streamlining of regulatory processes, implementing a centralized institutional research agenda, developing a core-outcome dataset and enhancing access to low-cost technology.…”
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Research on new energy power plant network traffic anomaly detection method based on EMD by Danni Liu, Shengda Wang, YutongLi, Ji Du, Jia Li

“…We test our model on a massive PV cell dataset and show that it outperforms state-of-the-art approaches in terms of resilience, speed, and accuracy of identification.…”
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Impact of atrial fibrillation on productivity in working-age patients: an analysis of Swiss-AF prospective cohort study data by Helena Aebersold, Fabienne Foster-Witassek, Sina Amberg, Miquel Serra-Burriel, Giorgio Moschovitis, Raffaele Zannoni, Stefanie Aeschbacher, Giulio Conte, Jürg H. Beer, Eva Blozik, Leo H. Bonati, David Conen, Stefan Felder, Moa L. Haller, Philipp Krisai, Michael Kühne, Rebecca E. Paladini, Tobias Reichlin, Nicolas Rodondi, Christian Sticherling, Thomas Szucs, Yuki Tomonaga, Stefan Osswald, Matthias Schwenkglenks

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Does outsourcing enable the survival of good care homes? A longitudinal analysis of all care homes in England, 2011–2023 by Anders Malthe Bach-Mortensen, Michelle Degli Esposti, Benjamin Goodair

“…We aimed to test whether ownership (for-profit, public and third sector (non-profit)) influences determinants of closure among all care homes in England, 2011–2023.Methods We created a dataset of all care homes from 2011 to 2023 (29 548 care homes and 8346 closures) and Care Quality Commission inspections from 2014 to 2023 (n=65 726). …”
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Raised Serum Adenosine Deaminase Level in Nonobese Type 2 Diabetes Mellitus by Vineet Kumar Khemka, Debajit Bagchi, Arindam Ghosh, Oishimaya Sen, Aritri Bir, Sasanka Chakrabarti, Anindita Banerjee

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Improving Individualized Salbutamol Treatment: A Population Pharmacokinetic Model for Oral Salbutamol in Virtual Patients by Lara Marques, Nuno Vale

“…The final model is intended as a tool to support the selection of optimal formulation and dosage regimen based on individual patient profiles. Methods: A dataset of 40 virtual patients derived from a physiologically based PK (PBPK) model of oral salbutamol was included in the popPK model. …”
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Urbanization Impacts Top Predators and Alters Biotic Interactions in Predator–Prey–Mutualistic Communities of Urban Dry Grasslands by Tanja M. Straka, Viktoriia Radchuk, Ingo Kowarik, Moritz von derLippe, Sascha Buchholz

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Increased Choroidal Thickness in Keratoconus Patients: Perspectives in the Disease Pathophysiology by João Pinheiro-Costa, João Viana Pinto, Sara Perestrelo, João Nuno Beato, Luís Torrão, Elisete Brandão, Ângela Carneiro, Maria Dulce Madeira, Fernando Falcão-Reis

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Nomogram for predicting mild cognitive impairment in Chinese elder CSVD patients based on Boruta algorithm by Yanzi Huang, Wendie Huang, Xiaoming Ma, Guoyin Zhao, Jingwen Kang, Huajie Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Shiying Sheng, Fengjuan Qian

“…Our goal is to develop a nomogram for early identification of PSCI and PSCID in stroke patients.MethodsIn a retrospective cohort, chained data imputation was performed to ensure no statistical differences from the original dataset. Subsequently, Boruta algorithm was utilized for variable selection based on their importance, followed by logistic regression employing backward stepwise regression. …”
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CT-based scoring system for diagnosing eosinophilic solid and cystic renal cell carcinoma versus clear cell renal cell carcinoma by Sunya Fu, Dawei Chen, Yuqin Zhang, Yuguo Wei, Yuning Pan

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IL18 Polymorphism and Periodontitis Susceptibility, Regardless of IL12B, MMP9, and Smoking Habits by Patrícia Yumeko Tsuneto, Victor Hugo de Souza, Josiane Bazzo de Alencar, Joana Maira Valentini Zacarias, Cléverson O. Silva, Jeane Eliete Laguila Visentainer, Ana Maria Sell

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Markers of Anemia in Children with Type 1 Diabetes by Ewa Rusak, Anna Rotarska-Mizera, Piotr Adamczyk, Bogdan Mazur, Joanna Polanska, Agata Chobot

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Synthesis, Characterization, and In Vivo Cytokinome Profile of IL-12-Loaded PLGA Nanospheres by Ryan A. Lacinski, Justin E. Markel, Jabeen Noore, Hillary G. Pratt, Brock A. Lindsey

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Multi-Task Learning for Alzheimer’s Disease Diagnosis and Mini-Mental State Examination Score Prediction by Jin Liu, Xu Tian, Hanhe Lin, Hong-Dong Li, Yi Pan

“…We validate the effectiveness of our proposed method on multiple datasets. In Alzheimer’s disease neuroimaging initiative 1 dataset, the accuracy in diagnosis task and the root mean squared error in prediction task of our proposed method is 87.86% and 2.5, respectively. …”
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