Time-Normalization Approach for fNIRS Data During Tasks with High Variability in Duration by Anna Falivene, Charlotte Johnson, Katrijn Klingels, Pieter Meyns, Evi Verbecque, Ann Hallemans, Emilia Biffi, Caterina Piazza, Alessandro Crippa

“…In such cases, the trials’ duration may vary depending on the experimental conditions or the participant’s response, therefore a comparison of hemodynamic responses across repetitions cannot be properly performed. …”
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Identification and validation of susceptibility modules and hub genes of adrenocortical carcinoma through WGCNA and machine learning by Yaoming Yang, Xinbao Wang, Liuqing Wu, Shihua Zhao, Ran Chen, Guoyong Yu

“…Additionally, the CIBERSORT algorithm was employed to predict immune cell infiltration in ACC. …”
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Occupational pesticide exposure and cognitive impairment among adult farmers in northern Thailand by Nichapa Phitsadang, Warangkana Naksen, Parichat Ong-Artborirak

“…Background Thai farmers are directly exposed to pesticides, which may result in adverse effects including cognitive impairment. …”
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MRI-guided clustering of patients with mild dementia due to Alzheimer's disease using self-organizing maps by Kellen K. Petersen, Bhargav T. Nallapu, Richard B. Lipton, Ellen Grober, Ali Ezzati

“…Methods: We implemented a self-organizing map clustering algorithm on baseline volumetric MRI measures from nine brain regions of interest (ROIs) to cluster 1041 individuals enrolled in the placebo arm of the EXPEDITION3 trial. …”
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A Fully Coupled Numerical Solution of Water, Vapor, Heat, and Water Stable Isotope Transport in Soil by Han Fu, Eric John Neil, Huijie Li, Bingcheng Si

“…However, this approach may increase instability and errors of model. Here, we developed an algorithm that solves one‐dimensional water, heat, and isotope transport equations with a fully coupled method (MOIST). …”
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Association of MTHFR Polymorphisms with H-Type Hypertension: A Systemic Review and Network Meta-Analysis of Diagnostic Test Accuracy by Yixuan Kong, Jinghui Zheng, Lijuan Li, Liying Lu, Jie Wang

“…The present result suggests that MTHFR C667T rs1801133 polymorphism is associated with H-HTN risk and may act as a promising predictive biomarker for H-HTN risk. …”
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Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study by Mariz Kasoha, Panagiotis Sklavounos, Istvan Molnar, Meletios P. Nigdelis, Bashar Haj Hamoud, Erich-Franz Solomayer, Gilbert Georg Klamminger

“…Abstract Even though non-invasive prediction of endometriosis may seem technically feasible using sophisticated machine learning algorithms, a standard clinical use case for non-surgical diagnosis of endometriosis has not yet been established. …”
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Novel nocturnal insect pest monitoring for sustainable crop protection using ensemble augmented deep learning classification by Hui Zhao, Bo Fu, Fernando Auat Cheein, Matthew Butler, W. Edwin Harris, Tom W. Pope, Joe M. Roberts

“…Existing monitoring methods rely on detecting the nocturnal adult weevils as a proxy for larval presence, however, these are unreliable and time-consuming to implement. This may be addressed by developing an identification algorithm for adult weevils. …”
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Recognition of Symbolic Gestures Using Depth Information by Hasan Mahmud, Md. Kamrul Hasan, Abdullah-Al-Tariq, Md. Hasanul Kabir, M. A. Mottalib

“…They are static gestures that one can perform in a very complex environment containing variations in rotation and scale without using voice. The gestures may be produced in different illumination conditions or occluding background scenarios. …”
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Evaluating Empirical Dynamic Modeling for forecasting: The role of variation among time series replicates by Fleur Slegers, Robbin Bastiaansen, Edwin Pos

“…However, in Scenarios A and C (involving different long-term behaviors or transient phases), combining replicates may negate these benefits, particularly for periodic and chaotic systems and large inter-replicate variations. …”
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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies by Adham Kahlawi, Firas Masri, Wasim Ahmed, Josep Vidal-Alaball

“…MethodsA total of 755,215 social media posts from X (formerly Twitter) were collected across 3 time periods: the virus' emergence (February 15 to March 31, 2020), strict lockdown (April 1 to May 30, 2020), and the vaccine rollout (December 1, 2020 to January 15, 2021). …”
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Machine learning potential predictor of idiopathic pulmonary fibrosis by Chenchun Ding, Quan Liao, Renjie Zuo, Shichao Zhang, Zhenzhen Guo, Junjie He, Ziwei Ye, Weibin Chen, Sunkui Ke

“…To construct an IPF risk prediction model, we employed LASSO-Cox regression analysis and the SVM-RFE algorithm. PODNL1 and PIGA were identified as potential biomarkers associated with IPF onset, and their predictive accuracy was confirmed using ROC curve analysis in the test set. …”
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Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

“…The clinical community has a lot of diabetes diagnostic data. Machine learning algorithms may simplify finding hidden patterns, retrieving data from databases, and predicting outcomes. …”
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Effects of Planetary Mass Uncertainties on the Interpretation of the Reflectance Spectra of Earth-like Exoplanets by Mario Damiano, Zachary Burr, Renyu Hu, Jennifer Burt, Tiffany Kataria

“…A critical challenge in this endeavor is the accurate determination of planetary mass, which may influence the measurement of atmospheric compositions and the identification of potential biosignatures. …”
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Causes of resistance to PARP inhibitors and ways to overcome it. Case report of aggressive <i>BRCA</i>-related breast cancer by A. I. Stukan, A. Yu. Goryainova, S. V. Sharov, O. A. Goncharova, Z. K. Khachmamuk, V. V. Durov

“…It seems that liquid biopsy of circulating tumor DNA, detection of circulating tumor cells, circulating microRNA or exosomes may be more suitable methods of molecular diagnostics than repeated biopsies. …”
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A New and Improved Sliding Mode Control Design Based on a Grey Linear Regression Model and Its Application in Pure Sine Wave Inverters for Photovoltaic Energy Conversion Systems by En-Chih Chang, Yeong-Jeu Sun, Chun-An Cheng

“…A traditional maximum power point tracking (MPPT) algorithm in such a case misclassifies and fail to locate the global extremes. …”
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Prevalence of advanced liver fibrosis in the general population of the Paris region according to FIB-4 score and liver risk score by Henri Tran, Stefano Caruso, Anne-Laure Mazialivoua, Cecile Fargeat, Odile Rousselet, Adrien Ko, Vincent Leroy, Patrick Ingiliz

“…An adapted new pragmatic screening algorithm using LRS should be considered.…”
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Bridging experiments and models, towards a new paradigm: DROP-PINN, a physics-informed neural network to predict droplet rupture in multiphase systems by Grégory Bana, Fabrice Lamadie, Sophie Charton, Didier Lucor, Nida Sheibat-Othman

“…Physics-Informed Neural Networks (PINNs) may address this challenge by embedding physical laws into the learning process, ensuring physically consistent PBE predictions. …”
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Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn). by Samer Elsheikh, Ahmed Elbaz, Alexander Rau, Theo Demerath, Elias Kellner, Ralf Watzlawick, Urs Würtemberger, Horst Urbach, Marco Reisert

“…The implementation of an objective, automated evaluation of postoperative studies may enhance diagnostic accuracy and facilitate the scaling of research projects. …”
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ASV (Amplicon Sequence Variant) taxonomic affiliation analysis of <i>Cryptosporidium scrofarum</i> species in pigs in the Vologda Region, the Northwestern Federal District of the R... by A. L. Kryazhev, A. S. Novikov

“…Of interest is the discovery of a unique Cryptosporidium sequence of ASV8 type which is only 91.47% similar to the closest relative of the genus, which may indicate a rather distant taxonomic relationship. …”
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