Cohesive zone modeling of the buckling behavior of a fusion-joined, additive-manufactured wind blade by Dongyang Cao, Hongbing Lu, Daniel Todd Griffith

“…Furthermore, the applicability of classical Euler and Johnson formulas was evaluated in predicting buckling loads and modes. The Euler formula was found adequate for the first flexural buckling mode in beams with high slenderness ratios (≥12). …”
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Analysis of tire contact stresses and asphalt pavement rutting under gradient temperature and typical driving conditions by Minrui Guo, Pei Liu, Wei Feng, Xiangwen Li, Haitao Ge

“…Secondly, a comparative analysis was conducted by collating the predicted deformations obtained through finite element analysis with the deformations measured in laboratory experiments using specialized sensors. …”
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Digital framework for georeferenced multiplatform surveillance of banana wilt using human in the loop AI and YOLO foundation models by Juan Jose Mora, Guy Blomme, Nancy Safari, Sivalingam Elayabalan, Ramasamy Selvarajan, Michael Gomez Selvaraj

“…Human in the Loop Artificial Intelligence was also utilized to enhance the ground level model’s predictions.…”
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How macroeconomic factors impact residential real estate prices in Eastern Europe by Laima Okunevičiūtė Neverauskienė, Dominykas Linkevičius, Daiva Andriušaitienė

“…Practical implications – The results provide valuable guidance for policymakers and investors in crafting strategies tailored to specific macroeconomic conditions, enhancing market predictions and stability. Originality/Value – By focusing on the underexplored residential real estate market in Eastern Europe, this study contributes novel insights into regional housing price determinants and offers a foundation for further research on macroeconomic impacts in real estate markets. …”
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Experimental and Theoretical Study of Gear Dynamical Transmission Characteristic Considering Measured Manufacturing Errors by Fang Guo, Zongde Fang

“…The study shows that the proposed technique is useful and reliable for predicting the dynamic response of a gear system.…”
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Comparative Hypothesis Testing of Auroral Ionospheric Layer Causing Global Navigation Satellite System Scintillation by G. Blinstrubas, A. English, D. J. Stuart, D. L. Hampton, L. Lamarche, Y. Nishimura, S. Datta‐Barua

“…The density‐based method predicts a majority of F‐region scintillation events for 2014, with a majority of E‐region events found for 2015 to 2019. …”
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Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

“…The concrete implementation entails using a comprehensive training set of strain nephograms derived from digital image technology, fabricating masks for absent image segments, and predicting strain nephograms with full strain detail. …”
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Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification by Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, S. Huzurbazar

“…These models use three unique loss functions: Mean square error (MSE), negative logarithm of predictive density (NLPD), and continuous ranked probability score. …”
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Methodology for Analyzing the Actual Technical Condition of Downhole Pumping Equipment by V. V. Ivashechkin, V. I. Krytskaya, V. N. Anufriev, O. A. Avrutin

“…The purpose of the study is to derive a dependency for constructing the flow-pressure characteristics of a submersible pump at its workplace and to develop a method for accounting for its wear during operation, which allows predicting a decrease in well productivity over time. …”
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Strain Effects on the Band Gap and Diameter of CdSe Core and CdSe/ZnS Core/Shell Quantum Dots at Any Temperature by Md. Rezaul Karim, Mesut Balaban, Hilmi Ünlü

“…An elastic strain-modified effective mass approximation (EMA) predicts that there is a parabolic decrease (increase) in the core band gap (diameter) of QDs with temperature. …”
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Utilization of CT Pulmonary Angiography in Suspected Pulmonary Embolism in a Major Urban Emergency Department by Adil Shujaat, Janet M. Shapiro, Edward Eden

“…The sensitivity and negative predictive value of CTPA for (RVD) was 92% and 80%, respectively. …”
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Genetic Variations in the Human Angiotensin-ConvertingEnzyme 2 and Susceptibility to Coronavirus Disease-19 by Taravat Talebi, Tannaz Masoumi, Katayoun Heshmatzad, Mahshid Hesami, Majid Maleki, Samira Kalayinia

“…We evaluated the identified variants based on the predictive performance of 5 deleteriousness-scoring methods and the 2015 American College of Medical Genetics and Genomics (ACMG) guidelines. …”
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The impact of vitamin D on breast cancer treatment: Literature review by Fedosenko Mariia

“…Methods: The authors analyzed and systematized research data on the predictive effect of vitamin D on the prognosis and course of breast cancer, the manifestation of its "non-classical" effects in preclinical and clinical studies, and assessed the possible practical application of the results obtained at the molecular-cellular level. …”
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Assessment of obesity indices and disease severity in male patients with obstructive sleep apnea: a cross-sectional study by Ahmed Gharib, Mai S. Elsheikh, Yasmine H. El-Hinnawy, Gehan Hamdy

“…This work aims to determine the cut-off values of the body mass index (BMI), waist to hip ratio (WHR), neck circumference (NC) that can be used to predict the occurrence of OSA and its severity. Patients and methods This observational cross-sectional study included 241 Egyptian male patients, complaining from symptoms of OSA. …”
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Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism by Laurina Fazioli, Bat-Sheva Hadad, Rachel N. Denison, Amit Yashar

“…This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited. …”
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The relationship between sexual function and sexual dysfunction beliefs after postpartum in primiparous women by Elahe Amirkhalili, Mansoureh jamshidimanesh

“…There was a significant correlation between dysfunctional beliefs and sexual functioning in primiparous women after childbirth (p = 0.001, β = -0.237), predicting a 10 percent variance in sexual functioning. …”
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Impact of land use and vegetation on the formation of thermal islands Case Study: Qainat City by Abdolmajid Ahmadi, ebrahim akbari, javad jamalabadi, maryam alemohammad

“…In order to make optimal use of land, knowledge of land use changes is necessary, which is usually possible by detecting and predicting land use changes. Measuring the role of researches and researchers has been instrumental in the study of natural resources, especially vegetation, surface temperature and user variations in each location, as well as the availability of information for different times for valuable studies. …”
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Large-Scale Model Testing of High-Speed Railway Subgrade under Freeze-Thaw and Precipitation Conditions by Shasha Zhang, Yantao Wang, Fei Xiao, Weizhi Chen

“…Precipitation mainly affects the deformation of the sample; however, the influence on salt-expansion and frost-heave deformation is less significant. Finally, by predicting the deformation of coarse saline soil, it is proven that the soil can meet the deformation requirements of high-speed railway foundations.…”
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Initial approach to Epidermal Growth Factor in SARS-CoV-2 infection by Héctor José Pérez Hernández

“…Conclusions: Determining serum EGF in patients infected by SARS-CoV-2 could have a predictive value for severity in patients with COVID-19.…”
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Comparative Study of ɛ-Polylysine or Nisin Inhibition Kinetics of Lactococcus lactis and Spoilage Microorganisms in Fresh Flammulina velutipes Fruiting Bodies by Qi Wei, Xinyuan Pan, Zhen Jia, Changcheng Li, Bingzhi Chen, Ting Fang, Yuji Jiang

“…The objective of this study was to investigate the effect of ɛ-PL or nisin on the growth of L. lactis and background (BK) microorganisms in fresh Flammulina velutipes fruiting bodies (FVFB) and develop mathematical models to predict their growth behavior. The effect of ɛ-PL (0.15 and 0.30 g/kg) or nisin (0.10 and 0.20 g/kg) on the growth of L. lactis and BK microorganisms in FVFB was analyzed at 4, 16, and 20°C. …”
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