Osteoporosis Self-Assessment Tool Performance in a Large Sample of Postmenopausal Women of Mendoza, Argentina by Fernando D. Saraví

“…A receiver operating characteristic (ROC) curve showed an area under the curve of 71% (P<0.0001), with a sensitivity of 83.7% and a specificity of 44% for a cut-off value of 2. Positive predictive value was 52% and negative predictive value was 79%. …”
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Spatial risk modelling of highly pathogenic avian influenza in France: Fattening duck farm activity matters. by Jean Artois, Timothée Vergne, Lisa Fourtune, Simon Dellicour, Axelle Scoizec, Sophie Le Bouquin, Jean-Luc Guérin, Mathilde C Paul, Claire Guinat

“…In this study, we present a comprehensive analysis of the key spatial risk factors and predictive risk maps for HPAI infection in France, with a focus on the 2016-17 and 2020-21 epidemic waves. …”
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Considerations for Building Climate-based Species Distribution Models by David N. Bucklin, Mathieu Basille, Stephanie S. Romañach, Lauren A. Brandt, Frank J. Mazzotti, James I. Watling

“…Scientists and conservation practitioners use mathematical models to predict the effects of future climate change on wildlife and plan for a biodiverse future. …”
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Enhanced sampling of protein conformational changes via true reaction coordinates from energy relaxation by Huiyu Li, Ao Ma

“…Abstract The bottleneck in enhanced sampling lies in finding collective variables that effectively accelerate protein conformational changes; true reaction coordinates that accurately predict the committor are the well-recognized optimal choice. …”
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Future Guides for Biomarkers for Autism Spectrum Disorders by Mai Mohamed Elhassan Mustafa

“…Biomarkers offer a promising avenue for addressing these challenges, with the potential to predict ASD risk, aid in early diagnosis, monitor disease progression, and guide personalized treatment strategies. …”
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Considerations for Building Climate-based Species Distribution Models by David N. Bucklin, Mathieu Basille, Stephanie S. Romañach, Lauren A. Brandt, Frank J. Mazzotti, James I. Watling

“…Scientists and conservation practitioners use mathematical models to predict the effects of future climate change on wildlife and plan for a biodiverse future. …”
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ANALYSIS AND EXPERIMENTAL VERIFICATION OF THE EFFECТ OF ASSEMBLY STRESS ON THE RANDOM FATIGUE LIFE OF AIRCRAFT PIPELINE by ZHAO XuSheng, CHEN Guo, ZHANG Xu, QIAN Jin

“…Combined with Miner linear damage theory, the random vibration fatigue life of the pipeline connector with assembly stress was predicted. The resonance fatigue test of pipeline was designed and carried out. …”
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Experiment on Corrosion Fatigue Life of Steel Strands under the Coupling Effects of Chloride Environment and Alternating Loads by Guowen Yao, Xuanrui Yu, Lifeng Gu, Yixing Jiang

“…In order to explore the corrosion mechanics of steel strands to predict the fatigue life, accelerated salt spray corrosion test is carried out to simulate the corrosion laws of steel strands and record the changes of the corrosion degrees during the experiment, considering the coupling effects of alternating loads and chloride environment. …”
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RETRACTED: Research on smart grid management and security guarantee of sports stadiums based on GCNN-GRU and self-attention mechanism by Song Li

“…This paper proposes a method based on the Graph Convolutional Neural Network (GCNN) with Gated Recurrent Units (GRU) and a self-attention mechanism. The objective is to predict trends and influencing factors in smart grid management and security of sports stadiums, facilitating the formulation of optimization strategies and policies.Methods: The proposed method involves several steps. …”
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Induced Unbalance as a Method for Improving the Dynamic Stability of High-Speed Turbochargers by R. Gordon Kirk, Ali A. Alsaeed

“…The numerical predictions are also compared to the former experimental results of a similar turbocharger. …”
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The transformative role of artificial intelligence in human resources by Klemen Žibret

“…By taking a look towards the future, we can predicts that tools like predictive analytics, monitoring of employee well-being, and convergence of AI with augmented reality (AR) and virtual reality (VR) can be projected as some of the future key developments. …”
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Use of the XFEM for the design of adhesively-bonded T-joints by Raul Campilho, Filipe Moreira

“…The number of approaches to predict the strength of adhesive joints has increased over the years. …”
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Multi-scale non-uniform hierarchical filtering model based on fractal theory. by Jian Zhang, Fei Peng, Chao He

“…The MNHF model accurately predicts the change in trapping performance at different times when particles move in the trap. …”
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Fatigue crack growth of aluminium alloy 7075-T651 under non-proportional mixed mode I and II loads by Xiaobo Yu, Ling Li, Gwénaëlle Proust

“…Meanwhile, in some cases, the crack path directions could be approximately predicted using the maximum shear stress criterion. …”
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Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Santonocito, Dario Milone

“…Once trained, the network can predict the transition temperature at which the first plastic deformation occurs within the material…”
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Topological Excitations in Quantum Spin Systems by Ranjan Chaudhury, Samir K. Paul

“…Moreover, an interesting symmetry property is predicted between the excitations from a ferromagnetic model and an antiferromagnetic model. …”
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Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Milone, Dario Santonocito

“…Once trained, the network can predict the transition temperature at which the first plastic deformation occurs within the material. …”
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Differing Pattern of Ambulatory Blood Pressure in Very Elderly Men Expresses Dynamics in Atherosclerotic Load in the Senescence by Arkadiusz Siennicki-Lantz, Sölve Elmståhl

“…At age 68, hypertension and high clinic blood pressure (CBP) did not predict ABPM level. Smoking and low ankle-brachial index (ABI) predicted higher ABPM variability and pulse pressure (PP), but not absolute ABPM values. …”
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M-Polynomial and NM-Polynomial Methods for Topological Indices of Polymers by Mohammed Yasin H, M. Suresh, Zebene G. Tefera, Samuel A. Fufa

“…Topological indices (TIs) are numerical tools widely applied in chemometrics, biomedicine, and bioinformatics for predicting diverse physicochemical attributes and biological activities within molecular structures. …”
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Postoperative Respiratory Impairment Is a Real Risk for Our Patients: The Intensivist’s Perspective by Vidya K. Rao, Ashish K. Khanna

“…This complication is challenging to predict and has been associated with an increase in mortality and hospital length of stay. …”
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