Enhancing Thermal-Hydraulic Modelling in Dual Fluid Reactor Demonstrator: The Impact of Variable Turbulent Prandtl Number by Hisham Elgendy, Sławomir Kubacki, Konrad Czerski

“…Traditional approaches employing a constant value of the turbulent Prandtl number have proven inadequate, leading to inaccurate heat transfer predictions for low Prandtl number liquids. The study carefully selects the appropriate formula for the turbulent Prandtl number in the DFR context, enhancing the accuracy of thermal-hydraulic modelling. …”
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Age Differences in Long Term Outcomes of Coronary Patients Treated with Drug Eluting Stents at a Tertiary Medical Center by Nicolas W. Shammas, Gail A. Shammas, Peter Sharis, Michael Jerin

“…Multivariate analysis showed that renal failure (odds ratio: 2.55, P=0.045), number of stents per patient (odds ratio: 1.60, P=0.001) and younger age (odds ratio: 0.97; P=0.010), but not gender, diabetes or type of DES stent (EES versus PES) predicted TLF. We conclude that older age was not a predictor of TLF at 2-year follow-up after adjusting for renal insufficiency, number of stents used per patient, gender, diabetes and type of DES used.…”
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Association of Peripheral Monocyte Count with Soluble P-Selectin and Advanced Stages in Nasopharyngeal Carcinoma by Adi Surya Komala, Andhika Rachman

“…Soluble P-selectin (sP-selectin) is one of several biomarkers that may be predictive of thrombosis in cancer. This study aimed to investigate the correlation between monocyte count and sP-selectin in various stages of nasopharyngeal carcinoma. …”
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Impact of Anterior Commissure Involvement and Frozen Guided Resections on Oncological Outcomes after Laser Cordectomy in Early Glottic Cancers – A 10-year Retrospective Analysis fr... by Elizabeth Mathew Iype, Ankit Vishwani, Bipin T Varghese, Shaji Thomas, Sahya S Lal

“…Apart from tumor (T) staging, ACI and frozen positivity were negative predictive factors. The results suggest the need to consider ACI in the T staging of glottic tumors. …”
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Air-Entraining Effect on Rheological Properties of Cement-Based Mixtures by Aigerim Tolegenova, Gintautas Skripkiunas, Lyudmyla Rishko, Kenzhebek Akmalaiuly

“…It has been established that a modified exponential Mooney dependency can be used to predict the yield stress and plastic viscosity of the modified cement mortar (both plasticized and air-entrained).…”
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Chemical Pressure‐Induced Unconventional Band Convergence Leads to High Thermoelectric Performance in SnTe by Hongwei Ming, Zhong‐Zhen Luo, Zhigang Zou

“…Additionally, the interplay between pressure‐induced phonon modes leads to a moderate increase in lattice thermal conductivity of SnTe below 3 GPa, which combined with the significantly enhanced PF, contributes to a large enhancement in ZT. Consequently, predicted ZT values of 2.12 at 650 K and 2.55 at 850 K are obtained for p‐ and n‐type SnTe, respectively, showcasing substantial performance enhancements.…”
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Outcome of spine surgery in the context of spinal metastatic disease: The National Surgical Quality Improvement Program by Salim M. Yakdan, Maya Herrera, Nour Wehbe, Monifa Al Akoum, Muhammad Irfan Kaleem, Miguel A. Ruiz-Cardozo, Karan Joseph, Nada Assaf, Hani Dimassi

“…Further research and validation of these predictive models are warranted to ensure their generalizability and applicability in clinical practice.…”
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Influence of preoperative frailty on quality of life after cardiac surgery: Protocol for a systematic review and meta-analysis. by Kathryn Bezzina, Christophe A Fehlmann, Ming Hao Guo, Sarah M Visintini, Fraser D Rubens, George A Wells, Rosetta Mazzola, Caroline McGuinty, Allen Huang, Lara Khoury, Kevin Emery Boczar

“…<h4>Background</h4>Frailty has emerged as an important prognostic marker of adverse outcomes after cardiac surgery, but evidence regarding its ability to predict quality of life after cardiac surgery is currently lacking. …”
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Identification of Potential Herbal Inhibitor of Acetylcholinesterase Associated Alzheimer’s Disorders Using Molecular Docking and Molecular Dynamics Simulation by Chandrabhan Seniya, Ghulam Jilani Khan, Kuldeep Uchadia

“…Our molecular docking and simulation have predicted high binding affinity of secondary metabolite (C28H34N2O6) to AChE. …”
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Attention-based interactive multi-level feature fusion for named entity recognition by Yiwu Xu, Yun Chen

“…Finally, the fused features are fed into the sequence labeling layer to predict the word labels. We conducted generous comparative experiments on three datasets, and the experimental results showed that our model achieved better performance than several state-of-the-art models.…”
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Estimating the Climate-Controlled Soil Parameters and the Distorted Mound Shape for Analysis of Stiffened Rafts on Expansive Soils by Mohamed H. Abu-Ali, Basuony El-Garhy, Ahmed Boraey, Wael S. Al-Rashed, Hassan Abdel-Daiem

“…Additionally, the proposed equation of the edge moisture variation distance predicts comparable values to that estimated by the program SUCH.…”
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Role of Pulse Oximetry Screening for Detection of Life Threatening Congenital Heart Detects in Newborn by Aso Faeq Salih, Adnan Mohammed Hamawand, Riyadh Abd Aljabbar Sattar

“…Sensitivity, specificity, positive and negative predictive value for POS in detection of major CHD were 80%, 97.29%, 17.9% and 99.80%, respectively. …”
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The Relationship between Muscle Ultrasound Parameters and Diabetic Peripheral Neuropathy among Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study by Yanling Zhong, Xiaojia Liu, Teng Lin

“…Among these muscle parameters, the EI of MG had a better predictive value (OR: 1.114, 95% CI: 1.039, 1.196) of DPN. …”
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Research on IoT security situation awareness method based on evidence theory by Jian LI, Tinglu DONG, Jie LI

“…The security problem of IoT became more and more serious with its rapid development.Considering that the current IoT security situation awareness system lacks generality and excessively relies on expert knowledge, a IoT security situation awareness method based on improved D-S evidence theory was proposed in this paper.Fuzzy Gaussian membership function was used to calculate the vulnerability information membership matrix, which was normalized as evidence distribution matrix.The improved Topsis method was used to measure the evidence credibility.In order to fully restrain the credibility of conflicting evidence and improve the credibility of mutually supporting evidence, local credibility between two evidence was aggregated and the expected positive and negative solution vectors were improved according to the situation assessment scenario.And the weighted average method was used for vulnerability information fusion, to obtain the result of situational assessment.The result of situational awareness was fused with the time discount and high-risk vulnerability information discount evidence theory.At the same time, the IoT vulnerability information at different moments was considered comprehensively, the evidence was adaptively and dynamically weighted with the ratio information of high-risk vulnerability.The experimental results show that in the fusion of different numbers of evidence bodies and four common conflicting evidence, the improved Topsis method has higher fusion probability on credible proposition.In the aspect of situation assessment, the risk degree of current system is accurately assessed.And in the aspect of situational awareness, this discount evidence theory can predict the probability of high risk and critical risk, which is more effective than the traditional D-S evidence theory.According to this theory, a IoT security situational awareness method process was proposed, which would be used to guide engineering practice.In the future, the relationship between vulnerabilities can be considered and richer information between vulnerabilities can be extracted for vulnerability exploiting, so that the result of situation assessment is more accurate and reasonable.On the other hand, for situational awareness, game theory can be adopted in the process of dynamic game between the attacker and defender.…”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…Additionally, dilations can diminish the number of trainable parameters, reducing the model complexity and computational cost. The base models’ predictions are concatenated and fed into a meta-learner (i.e., Nu-SVC) for final classification. …”
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Plasma C1q/TNF-Related Protein-3 (CTRP-3) and High-Mobility Group Box-1 (HMGB-1) Concentrations in Subjects with Prediabetes and Type 2 Diabetes by Huili Wei, Hua Qu, Hang Wang, Huacong Deng

“…Circulating CTRP-3 and HMGB-1 concentrations might be promising biomarkers to predict prediabetes and type 2 diabetes.…”
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Evaluation of Airport Buildings Against Terrorist Attacks in the Context of Architecture and Planning Criteria: Five Case Study by SARICIOĞLU Pelin, YILDIZ Aslı, SOYLUK Asena

“…According to the findings of the study, most of the airports are located in dense urban areas as a result of inaccurate predictions of urban growth and development. This makes these structures vulnerable to terrorist attacks. …”
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Impact of Extracellular Matrix-Related Genes on the Tumor Microenvironment and Prognostic Indicators in Esophageal Cancer: A Comprehensive Analytical Study by Yinghong Wu, Wenjie Hu, Zhihong Jia, Qiying Zhu, Jinghui Xu, Liang Peng, Renjie Wang

“…Consequently, we developed a prognostic model to predict patient outcomes, which demonstrated clear survival differences between high-risk and low-risk patient groups. …”
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Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map by Xiaojun Chen

“…For the task of Chinese grammar error correction, this article uses two methods of predicting the relationship between words in the corpus, Word2Vec and GloVe, to train the word vectors of different dimensions and use the word vectors to represent the text features of the experimental samples, avoiding sentences brought by word segmentation. …”
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Integrative bioinformatics and immunohistochemical analysis unravel the prognostic significance and immunological implication of LIMCH1 in breast cancer: a retrospective study by Xin Yu, Bei Li, Wenge Li, Jingping Yuan, Shengrong Sun, Juanjuan Li

“…Finally, we developed a nomogram incorporating LIMCH1 expression for predicting overall survival rates, thus providing a clinically applicable tool. …”
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