Comparative study of degree, neighborhood and reverse degree based indices for drugs used in lung cancer treatment through QSPR analysis by Micheal Arockiaraj, J. J. Jeni Godlin, S. Radha, Tariq Aziz, Mitub Al-harbi

“…We then conducted a comparative analysis, incorporating correlation analysis, to identify the model with the highest predictive accuracy.…”
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Explanatory model of depression and anxiety as predictors of suicidal ideation in Peruvian adults by Jonatan Baños Chaparro

“…<br /><strong>Results</strong>: depression (β = 0.52, p = 0.01) and anxiety (β = 0.23, p = 0.03) predict suicidal ideation in a statistically significant way. …”
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Enhancing the mechanical properties’ performances coconut fiber and CDW composite in paver block: multiple AI techniques with a Performance analysis by G. Uday Kiran, G. Nakkeeran, Dipankar Roy, Sumant Nivarutti Shinde, George Uwadiegwu Alaneme

“…Furthermore, machine learning techniques to precision the predicting machinal properties were extensively evaluated. …”
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State Anxiety Is Associated with Cardiovascular Reactivity in Young, Healthy African Americans by Mildred A. Pointer, Sadiqa Yancey, Ranim Abou-Chacra, Patricia Petrusi, Sandra J. Waters, Marilyn K. McClelland

“…Interestingly, state anxiety predicted heart rate changes only to CP (P<0.01; P=0.3 for AR). …”
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Bidirectional relationships between phonological processing and basic number knowledge in kindergarten children: a longitudinal study by Xin Chen, Chi Ma, Zihan Yang, Xiujie Yang

“…In contrast, rapid automatized naming had no such predictive relations with other variables. The present findings are among the first to provide evidence that basic number knowledge could predict later phonological processing in kindergarten children.…”
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Molecular Modeling of Antimalarial Agents by 3D-QSAR Study and Molecular Docking of Two Hybrids 4-Aminoquinoline-1,3,5-triazine and 4-Aminoquinoline-oxalamide Derivatives with the... by Hanine Hadni, Mohamed Mazigh, El’mbarki Charif, Asmae Bouayad, Menana Elhallaoui

“…The QSAR model tested with artificial neural network (ANN) method shows high performance towards its predictability. The predicted model was confirmed by three validation methods: leave-one-out (LOO) cross validation, Y-randomization, and validation external. …”
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Evidence-based incorporation of key parameters into MELD score for acute-on-chronic liver failure by Jing Liu, Tao Li, Yi Zhou, Yuanyuan Chen, Hai Li, Yan Huang, Jing Li, Yu Shi, Xin Zheng, Yanhang Gao, Xinxin Liu, Weituo Zhang, Shan Yin, Xia Yu, Jifang Sheng, Zhiwei Li, Feng Liu, Guohong Deng, Jinjun Chen, Zhongji Meng, Zhiping Qian, Xiaobo Lu, Wenyi Gu, Qun Cai, Xiaobo Wang, Qun Zhang, Xue Mei, Wenting Tan, Jia Shang, Xinyi Zhou, Chang Jiang, Ruoqi Zhou, Beiling Li, Huadong Yan, Yubao Zheng, Xiaomei Xiang, Yixin Hou, Shue Xiong, Ruochan Chen, Liyuan Long, Xiuhua Jiang, Sen Luo, Jinming Zhao, Liujuan Ji, Rongjiong Zheng

“…In this study, we identified additional predictive parameters and reformed the MELD score to predict ACLF more accurately.Methods A meta-analysis was performed on relevant studies to identify the predictive factors of 28-day/90-day outcomes of ACLF, which were validated in two large prospective cohorts. …”
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Umbilical Cord Blood Bilirubin as a Predictor of Significant Hyperbilirubinemia Requiring Phototherapy among Full-term Healthy Neonates: A Prospective Study by Preethi B Patil, Prasanna Saka, Abhay K Chidananda

“…However, the utility of cord blood bilirubin as a screening test to predict subsequent hyperbilirubinemia has been widely debated. …”
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Regulation of Paneth cell-specific genes in COVID-19 patients and SARS-CoV-2-infected mice by quantification of mRNA from exfoliated cells in stool samples by Gill Diamond, Erika L. Figgins, Denny Gao, Tanya O. Robinson, Kenneth Wilson, Jon D. Gabbard, Charles D. Anderson, Lalit Batra, Chithra Sreenivasan, Jian Zheng, Uyen Do, Braden Mulcahy, Lisa K. Ryan, Nathaniel McLaughlin, Anna H. Owings, Neha Dhaliwal, Haley B. Williams, T. Grant Wichman, Michelle Galeas-Pena, Sarah C. Glover

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Significance of Heparin-Binding Protein and D-dimers in the Early Diagnosis of Spontaneous Bacterial Peritonitis by Tomasz Mikuła, Mariusz Sapuła, Joanna Jabłońska, Joanna Kozłowska, Wojciech Stańczak, Dagny Krankowska, Alicja Wiercińska-Drapało

“…A D-dimer cutoff value of 1500 ng/mL was determined optimal for ruling out SBP due to high sensitivity (96.8%) and a high negative predictive value (92.9%), although predictably, this marker was not useful for confirming SBP due to low specificity (40.6%) and a low positive predictive value (61.2%). …”
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Heavy top quark mass in the minimal universal seesaw model by Panuluh Albertus Hariwangsa, Morozumi Takuya

“…The heavy top quark mass (mt′ ) is predicted to be within the range from 1.4 TeV to 7.2 TeV for vR = 10 TeV.…”
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Lyapunov Exponent-Based Study of Chaotic Mechanical Behavior of Concrete under Compression by Yuhu Quan, Xu Yang

“…Besides, the mechanical behavior of concrete could be predicted by deducing its evolution equation. Furthermore, the evolution and trends of the Lyapunov exponent indicated that the series with human intervention showed a stronger chaotic property, which led to the result that this kind of series might be more difficult to predict.…”
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Research of the CVT Efficiency Improvement based on Servo Motor Drive and Sliding Control by Meng Xianglei

“…When the servo motor driving system and transmission slip control is instead of hydraulic pump,the increased efficiency can be predicted,in 25% of the rated load,the CVT loss in half,and in full,it can be predicted the efficiency reduced by 25%.…”
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Paradoxical Facilitation of Attention in Healthy Humans by Shirley Fecteau, Alvaro Pascual-Leone, Hugo Théoret

“…One of these predictions is that release from contralateral inhibition should lead to increased parietal responsiveness, which, in turn, would enhance spatial attention. …”
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Methane Adsorption on Shale: Insights from Experiments and a Simplified Local Density Model by Luo Zuo, Yupu Wang, Wei Guo, Wei Xiong, Shusheng Gao, Zhiming Hu, Shen Rui

“…We herein present a method for predicting adsorption isotherms of methane on shale using the simplified local density (SLD) theory: First, the adsorption isotherms of methane on shale samples were measured and then its adsorption on illite, illite/smectite mixed layer, chlorite, type I, type II and type III kerogen was described with the SLD theory. …”
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Energy Flow Boundary Element Method for Vibration Analysis of One and Two Dimension Structures by Ho-Won Lee, Suk-Yoon Hong, Do-Hyun Park, Hyun-Wung Kwon

“…In this paper, Energy Flow Boundary Element Method (EFBEM) was developed to predict the vibration behavior of one- and two-dimensional structures in the medium-to-high frequency ranges. …”
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Impact of SMEFT renormalisation group running on Higgs production at the LHC by Fabio Maltoni, Giuseppe Ventura, Eleni Vryonidou

“…Abstract We study the effects of the one-loop renormalisation group running/mixing of the Wilson coefficients in the standard model effective field theory on the predictions for Hj, t t ¯ H $$ t\overline{t}H $$ and HH production at the LHC. …”
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Molecular simulation of perfluorohexane adsorption in BAM-P109 activated carbon by Lev Sarkisov

“…Although simulations correctly predict the trend in the adsorption density, the model, in its current form, systematically underestimates adsorbed density by 20% on average. …”
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WSN malware infection model based on cellular automaton and static Bayesian game by Hong ZHANG, Shigen SHEN, Xiaojun WU, Qiying CAO

“…The theoretical model for the malware infection in wireless sensor networks (WSN) based on cellular automaton and static Bayesian game was studied.Firstly,the malware infection model of WSN based on cellular automaton was built.Secondly,the malware infection dynamics in WSN was predicted based on the static Bayesian game,through which malware and WSN systems would determine their optimal actions by Bayesian Nash equilibrium (BEN).Then the BEN was applied to the malware infection model to study the spatiotemporal dynamics characteristics of malware infection.Research results show that the proposed model can effectively predict the infection dynamics propagation process of malware in WSN,and the evolution trend of sensor nodes in various states with time,which are of significance for people to formulate measures to reduce the propagation speed of malware.…”
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Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference by ZHAO Chunjiang, LI Jingchen, WU Huarui, YANG Yusen

“…[Objective]In the era of digital agriculture, real-time monitoring and predictive modeling of crop growth are paramount, especially in autonomous farming systems. …”
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