Simulation of Payne Effect of Elastomeric Isolators with a Harmonic Balance Method by V. Jaumouillé, J.-J. Sinou, B. Petitjean

“…Small vibration amplitudes around a no-preloaded state are predicted by considering frequency and amplitude dependencies of the material. …”
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Evaluation of Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio in Covid-19 Patients Treated with Tocilizumab Due to Cytokine Storm by Serkan Yavuz, Cengiz Burnik, Mehmet Mermer, Faysal Duksal

“…Therefore, they may be used as a marker to predict poor prognosis. It can be suggested to treat these patients more aggressively in the initial period.…”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…At the same time, the accuracy of the four features was 0.8931, 0.9012, 0.8846, and 0.8961, respectively, which verified the excellent predictive recognition performance. Compared with the other two comparison algorithms, the detection time required by the proposed model was the shortest at 115us and consumed the least amount of resources. …”
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Novel methods to determine hydrothermal residual stresses in fiber-reinforced polymer composite by John Wang, Paul W. Adcock, Wing Kong Chiu

“…The residual stress relaxation could have a significant impact on fatigue life predictions of composite structures. A four-point bend test was used to determine the load required to flatten unbalanced laminates. …”
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Assimilation of PSO and SVR into an improved ARIMA model for monthly precipitation forecasting by Laleh Parviz, Mansour Ghorbanpour

“…Comparing the two procedures, it is found that the capability of IARIMA-C-PSO is higher concerning the IARIMA-SVR, so the decrease in the normalized mean squared error value from IARIMA to IARIMA-SVR and IARIMA-C-PSO is 36.72% and 39.92%, respectively for all stations. The residual predictive deviation (RPD) of IARIMA-C-PSO for all stations is greater than 2, which indicates the high performance of the model. …”
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Mother’s Characteristics and Socioeconomic Status as Possible Risk Factors for Children’s Caries in Jordan by Omar Al-Rashdan, Zaid AlZoubi, Mahmoud Ibrahimi, Amal Al-khraisha, Nabeel Almajali

“…Linear regression was used to detect variables that might predict the decayed missing filled teeth (dmft) score of the child. …”
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On the Use of Min-Max Combination of Biomarkers to Maximize the Partial Area under the ROC Curve by Hua Ma, Susan Halabi, Aiyi Liu

“…Evaluation of diagnostic assays and predictive performance of biomarkers based on the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) are vital in diagnostic and targeted medicine. …”
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Investigating the effect of time component on residents\' sense of belonging from two perspectives of age and duration of residence; Case study of Zanjan neighborhoods by Narges Karimi, Farah Habib

“…Among the variables, the effect of the environment variable on the sense of spatial belonging is greater than the length of stay, so that the age of the environment predicts 27.1% of the variance of the variable of spatial belonging.…”
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Adaptive algorithms for change point detection in financial time series by Alexander Musaev, Dmitry Grigoriev, Maxim Kolosov

“…The work highlights the potential for future advancements in neural network applications and multi-expert decision systems, further enhancing predictive accuracy in volatile environments.…”
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Molecular saturation determines distinct plasmonic enhancement scenarios for two-photon absorption signal by Saeid Izadshenas Jahromi, Karolina Słowik

“…Our findings reveal the important role of molecular saturation determining the regimes where either absorption or fluorescence enhancement leads to an improved TPA signal intensity, considerably below the classical predictions. The proposed nanostructure design not only addresses these findings, but also might serve for their experimental verification, allowing for active polarization tuning of the plasmonic response targeting the absorption, fluorescence, or both. …”
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Determination of synbiotic mango fruit yogurt and its bioactive peptides for biofunctional properties by Jagrani Minj, Shilpa Vij

“…There were no significant differences between the results of the experimental and predicted values of antioxidant activity by this model. …”
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Predictors of Instrumental Activities of Daily Living Performance in Patients with Stroke by Amin Ghaffari, Hamid Reza Rostami, Malahat Akbarfahimi

“…The present study is aimed at determining factors predicting instrumental activities of daily living performance in patients with stroke. …”
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Nitrogen enrichment drives accelerative effect of soil heterogeneity on the flowering phenology of a dominant grass by Anna G. Krause, Ashley A. Wojciechowski, Sara G. Baer

“…These results advance our understanding of the relationship between plant phenology and global change drivers, which is important for understanding and predicting the timing of plant resource use and the provision of resources to higher trophic levels by plants under varying levels of resource availability.…”
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Proper selection of personnel for the Security Service of Ukraine as a prerequisite for the career growth of its employees by M. S. Yuzyshen

“…The Law of Ukraine “On the Security Service of Ukraine” should include a separate article entitled “Career in the Security Service of Ukraine”, which should define the term “career in the Security Service of Ukraine” and predict the specifics of a career in the Security Service of Ukraine.…”
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Accelerating antimicrobial peptide design: Leveraging deep learning for rapid discovery. by Ahmad M Al-Omari, Yazan H Akkam, Ala'a Zyout, Shayma'a Younis, Shefa M Tawalbeh, Khaled Al-Sawalmeh, Amjed Al Fahoum, Jonathan Arnold

“…Machine learning and deep learning are used to predict antimicrobial peptide efficacy in the study. …”
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Electronic Human Resource Management (e-HRM) and Organisational Performance by Olufemi Epebinu, Adeyemi Adepoju, Modupe Ajayi

“…Model β = 0.690, t = 17.491, f 2 =0.910, predicted that P ˂ 0.05 up to 48% variation in organisational performance is explained by e-HRM practices. …”
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Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region by Tanica Lyngdoh, Bharathi Viswanathan, Edwin van Wijngaarden, Gary J. Myers, Pascal Bovet

“…We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. …”
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Effects of Potentially Inappropriate Medications in Older Patients with Gastrointestinal System Cancer by Melike OZKAN, Irfan KARAHAN, Selim YALCIN, Gozde SENGUL AYCICEK

“…We suggest that PIM is an important factor in predicting the side effects of chemotherapy and minimizing the adverse effects.…”
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The construction of a digital dissemination platform for the intangible cultural heritage using convolutional neural network models by Zhurong Liu

“…The results indicate that the heteroscedasticity-robust standard error is 0.15, and the platform achieves accuracies of 0.87 and 0.89 in 5-fold and 10-fold cross-validation, respectively, demonstrating the model's stability and predictive accuracy. Under various operating conditions, the platform's accuracy, recall, and F1-Score all exceed 0.85, with a root mean square error below 0.12, ensuring efficient and reliable recommendation performance. …”
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Bioinformatics analysis of miR-2861 and miR-5011-5p that function as potential tumor suppressors in colorectal carcinogenesis by Alper Aytekin, Hikmet Kadakal, Deniz Mihcioglu, Turkan Gurer

“…In addition, it was predicted that dysregulated miRNAs targets, pathways and functional gene annotations that may be important in colorectal carcinogenesis using KEGG pathway and GO analysis. …”
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