The prognostic value of systemic immune-inflammation index in patients with unresectable hepatocellular carcinoma treated with immune-based therapy by Tian He, Bin Xu, Lu-Na Wang, Zi-Yi Wang, Huan-Chen Shi, Cheng-Jie Zhong, Xiao-Dong Zhu, Ying-Hao Shen, Jian Zhou, Jia Fan, Hui-Chuan Sun, Bo Hu, Cheng Huang

“…Abstract Background Predicting the efficacy of immune-based therapy in patients with unresectable hepatocellular carcinoma (HCC) remains a clinical challenge. …”
Get full text

Erratum to ‘Cost differences between autologous and nonautologous cranioplasty implants: A propensity score–matched value driven outcomes analysis’ [World Neurosurgery: X (22C) (20... by Matthew Findlay, Sawyer Z. Bauer, Diwas Gautam, Matthew Holdaway, Robert B. Kim, Walid K. Salah, Spencer Twitchell, Sarah T. Menacho, Gurpreet S. Gandhoke, Ramesh Grandhi

“…Upon multivariate analysis, although custom cranioplasty was independently predictive of higher initial hospitalization costs (standardized β = 0.20, p < 0.01), it was not predictive of long-term total aggregated costs (standardized β = 0.10, p = 0.13). …”
Get full text

ApoB/ApoA-Ι is associated with major cardiovascular events and readmission risk of patients after percutaneous coronary intervention in one year by Jie Zhang, Mengyu Liu, Ju Gao, Xiaowen Tian, Yaru Song, Haibei Zhang, Peng Zhao

“…Furthermore, a nomogram predicting one-year MACEs was established (Concordance Index: 0.668). …”
Get full text

Association of the Monocyte to High-Density Lipoprotein Cholesterol Ratio and Neutrophil to High-Density Lipoprotein Cholesterol Ratio With the Severity of New-Onset Coronary Arter... by Shu H, Han S, Qiu W, Li J, Zhang X, Su H, Wu H, Zhao G, Li Q

“…Combined MHR and NHR has higher predictive value.Conclusion: MHR and NHR are independently associated with CAD, and there is a nonlinear correlation with the GS. …”
Get full text

Estimating Trends in Cardiovascular Disease Risk for the EXPOSE (Explaining Population Trends in Cardiovascular Risk: A Comparative Analysis of Health Transitions in South Africa a... by Shaun Scholes, Jennifer S Mindell, Mari Toomse-Smith, Annibale Cois, Kafui Adjaye-Gbewonyo

“…Laboratory- and non–laboratory-based World Health Organization (WHO) and Globorisk algorithms were used to calculate the predicted 10-year total (fatal and nonfatal) CVD risk. …”
Get full text

Association between monocyte-lymphocyte ratio and all-cause and cardiovascular mortality in patients with chronic kidney diseases: A data analysis from national health and nutritio... by Wenwu Liu, Shuwei Weng, Chenghui Cao, Yuting Yi, Yue Wu, Daoquan Peng

“…This suggests that MLR can serve as a simple and effective clinical indicator for predicting mortality risk in CKD patients.…”
Get full text

Winter Weed Emergence during Carinata (Brassica carinata) Production by Ruby Tiwari, Pratap Devkota, Michael J. Mulvaney

“… This publication provides information for predicting emergence timing of common winter weed species for carinata production. …”
Get full text

Rapid and Quantitative Determination of S-Adenosyl-L-Methionine in the Fermentation Process by Surface-Enhanced Raman Scattering by Hairui Ren, Zhaoyang Chen, Xin Zhang, Yongmei Zhao, Zheng Wang, Zhenglong Wu, Haijun Xu

“…The relative deviations (δ) of the predicted SAM concentration are less than 13% and the correlation coefficient is 0.9998. …”
Get full text

Towards optimizing the thermal processes in aluminum alloys using a full-field CA based approach for static recrystallization modeling by Abhijit Brahme, Chal-Lan Park, Jeffrey Tschirhart, Aaditya Lakshmanan, Sazol Das, Kaan Inal

“…This work proposes a framework capable of handling complex annealing schedules and can be used to predict microstructure evolution and the kinetics of recrystallization. …”
Get full text

A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers by Tom W. Andrew, Mogdad Alrawi, Ruth Plummer, Nick Reynolds, Vern Sondak, Isaac Brownell, Penny E. Lovat, Aidan Rose, Sophia Z. Shalhout

“…DeepMerkel can make accurate personalised, time-dependent survival predictions for MCC from readily available clinical information. …”
Get full text

Head in the game: the impact of cognitive abilities on performance of National Football League quarterbacks by R. Thomas Boone, Nicholas S. Zambrotta, Andrew M. Manocchio, James K. Bowman

“…Reaction Time; Visual Spatial Processing and Decision Making to a lesser, but notable degree; predicted NFL performance metrics such as Career Approximate Value, Quarterback Rating, passing and rushing yards per game, turnover worthy plays, and throwing accuracy. …”
Get full text

Biosorption of Cr(VI) from Aqueous Solutions Using Trametes Versicolor Polyporus Fungi by M. Venkata Subbaiah, S. Kalyani, G. Sankara Reddy, Veera M. Boddu, A. Krishnaiah

“…In addition, the data were used to predict the kinetics of adsorption. The results indicated that the adsorption of Cr(VI) on fungi followed second order kinetics. …”
Get full text

Extension of Weighted Sum of Gray Gas Data to Mathematical Simulation of Radiative Heat Transfer in a Boiler with Gas-Soot Media by Samira Gharehkhani, Ali Nouri-Borujerdi, Salim Newaz Kazi, Hooman Yarmand

“…Heat transfer and temperature distribution of walls and within the furnace space are predicted by zone method technique. Analyses have been done considering both cases of presence and absence of soot particles at 100% load. …”
Get full text

Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems by G. M. Behery, A. A. El-Harby, Mostafa Y. El-Bakry

“…The proposed system has been also designed to simulate other distributions not presented in the training set (predicted) and matched them effectively.…”
Get full text

Artificial Intelligence Transforming Post-Translational Modification Research by Doo Nam Kim, Tianzhixi Yin, Tong Zhang, Alexandria K. Im, John R. Cort, Jordan C. Rozum, David Pollock, Wei-Jun Qian, Song Feng

“…Then, various deep learning architectures and programs, including recent applications of language models, for predicting PTM sites on proteins and the regulatory functions of these PTMs are compared. …”
Get full text

Influence of Infection Delay on the Covid-19 Pandemic with Vaccination Control: Modeling and Simulation by Rami Raad Saadi, Hassan F. Al-Husseiny

“…The obtained numerical results are discussed and predict through graphs. …”
Get full text

Tuning Wetting Properties Through Surface Geometry in the Cassie–Baxter State by Talya Scheff, Florence Acha, Nathalia Diaz Armas, Joey L. Mead, Jinde Zhang

“…The Cassie–Baxter model accurately predicted receding angles but struggled to predict advancing angles. …”
Get full text

Simulation of clinical trials of oral treprostinil in pulmonary arterial hypertension using a virtual population by Andrew E. Stine, Jignesh Parmar, Amy K. Smith, Zachary Cummins, Narasimha Rao Pillalamarri, R. Joseph Bender

“…We then used this virtual population to predict the results of clinical trials on the basis of disease severity, dosing regimen, time since diagnosis, and co-administered background therapies. …”
Get full text

Calculation of Liquidus Temperature for Aluminum and Magnesium Alloys Applying Method of Equivalency by Mile B. Djurdjević, Srećko Manasijević, Zoran Odanović, Natalija Dolić

“…An accurate knowledge of liquidus temperature permits a researcher to predict a variety of physical parameters pertaining to a given alloy. …”
Get full text

Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network by Chen Wang, Ke Hu, Yin Liu

“…The predicted results showed substantial consistency with numerical simulations. …”
Get full text