On the (im)possible validation of hydrogeological models by Andréassian, Vazken

“…By updating and extending the literature review, we reanalyze this debate and the arguments presented and conclude by proposing an extension of de Marsily’s position, which underlines the necessity to look at validation from two distinct viewpoints, i.e. the point of view of the model’s explanatory power (theoretical content) and the point of view of its predictive power. The explanatory and predictive dimensions of model validation are to be considered separately.…”
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Consistent individual positions within roosts in Spix’s disc-winged bats by Giacomini, Giada, Chaves-Ramírez, Silvia, Hernández-Pinsón, H. Andrés, Barrantes, José Pablo, Chaverri, Gloriana

“…Individuals within both moving and stationary groups arrange themselves in a predictable manner; for example, some individuals are consistently found at the front of the group or in the periphery and others in the center. …”
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Operation time as a prognostic indicator on postoperative complications following percutaneous nephrolithotomy by Alireza Pakdel, Abdolreza Mohammadi, Amirreza Shamshirgaran, Ehsan Zemanati Yar, Leila Zareian Baghdadabad, Farshid Alaeddini, Roghayeh Koohi Ortakand, Leonardo Oliveira Reis, Seyed Reza Hosseini, Seyed Mohammad Kazem Aghamir

“…A cut-off of 65 min for operation time showed 96.8% specificity for predicting complications. Additionally, 47.8% of patients were systemic inflammatory response syndrome positive postprocedure, and operation times were not shown to be predictive of systemic inflammatory response syndrome. …”
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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

“…In the second stage, the predictive model MCMC-ANN presented a mean square error (MSE) of 0.00171, and a standard deviation (SD) of 0.00133. …”
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Using computer modeling to find new LRRK2 inhibitors for parkinson’s disease by María C. García, Sebastián A. Cuesta, José R. Mora, Jose L. Paz, Yovani Marrero-Ponce, Frank Alexis, Edgar A. Márquez

“…This study aims to create a detailed dataset to build strong predictive models with various machine learning algorithms. …”
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Winter Weed Emergence during Carinata (Brassica carinata) Production by Ruby Tiwari, Pratap Devkota, Michael J. Mulvaney

“… This publication provides information for predicting emergence timing of common winter weed species for carinata production. …”
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Draft Resource Mobilisation Plan by Kabale University

“…The overall objective of the Plan is to ensure that there is a clear, systematic, predictable and well-coordinated approach to soliciting, acquiring, utilization, management, reporting, monitoring, and evaluating assistance for expanding the resource base to ensure sustainable resource availability for implementation of the University programmes.…”
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Subregional pedoclimatic conditions with contrasted UV-radiation shape host-microbiome and metabolome phenotypes in the grape berry by Viviana Martins, Cécile Abdallah, António Teixeira, Carolina Moreira, Márcio Nóbrega, Arnaud Lanoue, Hernâni Gerós

“…A metabolic OPLS-DA model predicted with 100 % accuracy the geographic origin of berries; higher UV radiation, higher temperature and lower precipitation stimulated the accumulation of phenolic acids, flavonols and malvidin conjugates, in detriment of amino acids, organic acids, flavan-3-ols, proanthocyanidins and non-malvidin anthocyanins. …”
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Magnetic Resonance Spectroscopy (MRS) transforming multiple sclerosis (MS) diagnosis by Landoline Bonnin, Pascal Bourdon, Carole Guillevin, Remy Guillevin, Clement Giraud, Christine Fernandez-Maloigne

“…Traditional Magnetic Resonance Imaging scans every six months reveal brain lesions but can't predict how the disease will progress [2]. A new technology, Magnetic Resonance Spectroscopy (MRS), shows promise in predicting disease progression by revealing cerebral metabolism and neurophysiological changes [3]. …”
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Erratum to ‘Cost differences between autologous and nonautologous cranioplasty implants: A propensity score–matched value driven outcomes analysis’ [World Neurosurgery: X (22C) (20... by Matthew Findlay, Sawyer Z. Bauer, Diwas Gautam, Matthew Holdaway, Robert B. Kim, Walid K. Salah, Spencer Twitchell, Sarah T. Menacho, Gurpreet S. Gandhoke, Ramesh Grandhi

“…Upon multivariate analysis, although custom cranioplasty was independently predictive of higher initial hospitalization costs (standardized β = 0.20, p < 0.01), it was not predictive of long-term total aggregated costs (standardized β = 0.10, p = 0.13). …”
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Advances in Simulation of Stratigraphic-Structural Evolution of Basin Fill: A Retrospective to Guide Future Progress by Prashant Dhote, Uday Bhan

“…The oil and gas industry relies heavily on inverse geostatistical modeling to predict static reservoir properties that influence hydrocarbon accumulation and flow. …”
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Exploring primordial black holes and gravitational waves with R-symmetric GUT Higgs inflation by Nadir Ijaz, Mansoor Ur Rehman

“…The amplification of the scalar power spectrum gives rise to scalar-induced gravitational waves and the generation of primordial black holes. The predicted stochastic gravitational wave background falls within the sensitivity range of existing and upcoming gravitational wave detectors, while primordial black holes hold the potential to explain the abundance of dark matter. …”
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Relationship Between Psychological Needs and Regulatory Focus Among Adults with Type 2 Diabetes by Morghane Aubert, Céline Clavel, Jean-Claude Martin

“…The prevention focuses positively predicts the satisfaction of autonomy and competence needs (*&beta;* = 2.06, p \< .001)…”
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Strategic analysis of the external environment by Gogić Nemanja

“…The starting point from which we began our research was that many companies around the world could not predict and adapt to the new changes taking place in the environment (closure due to the corona virus pandemic, war in Ukraine, sanctions against Russia). …”
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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

“…The findings suggest that the XGBoost model developed in this study is highly effective in predicting earthquake-induced slope displacement, offering valuable insights for early warning systems and slope stability management.…”
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The correlation between the expression of androgen receptor splice variant-7 (AR-V7) protein with the time of occurrence of castration-resistant prostate cancer and overall surviva... by Indrawarman Soerohardjo, Narpati Wesa Pikatan, Andy Zulfiqqar, Irianiwati Widodo, Didik Setyo Heriyanto

“…Conclusions Diminished AR-V7 + protein expression emerges as a predictive indicator for a shortened time to CRPC onset. …”
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Genomic insights and comparative analysis of Colletotrichum species associated with anthracnose fruit rot and crown rot of strawberry in North Carolina by Tika B. Adhikari, Norman Muzhinji, Ashley N. Philbrick, Frank J. Louws, Frank J. Louws

“…The genome sizes of the C. nymphaeae isolates ranged from 50.3 Mb to 50.7 Mb, with 14,235 to 14,260 predicted protein-coding gene models. In contrast, the genome sizes of the C. siamense isolates ranged from 55.7 Mb to 58.6 Mb, with predicted protein-coding gene models ranging from 17,420 to 17,729. …”
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When math legitimizes knowledge: a step by step approach to Bayes’ rule in diagnostic reasoning by Yung Bruno de Mello Gonzaga, André Demambre Bacchi, Vitor Borin Pardo de Souza

“…OBJECTIVE: To present a step-by-step demonstration of Bayes' formula for positive and negative predictive values, fostering understanding and enabling its adoption in evidence-based medicine education and clinical practice as a supporting tool in the decision-making process. …”
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Circulating miR-574–5p shows diagnostic and prognostic significance and regulates oxygen-glucose deprivation (OGD)-induced inflammatory activation of microglia by targeting ATP2B2... by Xia Yin, Chunlei Zhang

“…The downstream targets of miR-574–5p were predicted from public databases, and the targeting relationship was evaluated by luciferase reporter assay. …”
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Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study by Anying Bai, Shan He, Yu Jiang, Weihao Xu, Zhanyi Lin

“…Discrimination analysis was conducted to assess and compare the predictive accuracy of the 3 aging metrics. …”
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