SEUNG-HEE GWAK¹, JUHYUN LEE¹, EUNJI OH¹, DOHYUN LEE^1,2, WONSHIK HAN³, JONGMIN KIM^1,*, KYONG-TAI KIM^4,*

Oncology Research, Vol.32, No.2, pp. 421-432, 2024, DOI:10.32604/or.2023.031031

Abstract Genetic information is transcribed from genomic DNA to mRNA, which is then translated into three-dimensional proteins. mRNAs can undergo various post-transcriptional modifications, including RNA editing that alters mRNA sequences, ultimately affecting protein function. In this study, RNA editing was identified at the 499th base (c.499) of human vaccinia-related kinase 2 (VRK2). This RNA editing changes the amino acid in the catalytic domain of VRK2 from isoleucine (with adenine base) to valine (with guanine base). Isoleucine-containing VRK2 has higher kinase activity than the valine-containing VRK2, which leads to an increase in tumor cell proliferation. Earlier we reported that VRK2 directly interacts… More > Graphic Abstract

Kehuan Xie¹, Longhai Yu^2,3, Chuanchang Li^1,*

Energy Engineering, Vol.120, No.12, pp. 2903-2915, 2023, DOI:10.32604/ee.2023.027636

Abstract Vanadium redox flow battery (VRFB) is considered one of the most potential large-scale energy storage technologies in the future, and its electrolyte flow rate is an important factor affecting the performance of VRFB. To study the effect of electrolyte flow rate on the performance of VRFB, the hydrodynamic model is established and a VRFB system is developed. The results show that under constant current density, with the increase of electrolyte flow rate, not only the coulombic efficiency, energy efficiency, and voltage efficiency will increase, but also the capacity and energy discharged by VRFB will also increase. But on the other… More >

Philippe Terral^*, Charlotte Bruneau, Jean-Paul Génolini

Psycho-Oncologie, Vol.17, No.3, pp. 181-189, 2023, DOI:10.32604/po.2023.044917

Abstract Aims: The joint dynamics of knowledge (of patients, health professionals, decision-makers, researchers) and of the powers (of speech and action, asymmetries, and hierarchies established between individuals and their knowledge) of the people who carry them at the heart of the PHIR, are analyzed from the perspective of the management of epistemic inequalities. We study the nature of knowledge sharing or non-sharing between these different categories of agents involved in health interventions. Procedure: The qualitative methodology is based on 36 interviews and six years of ethnographic observations of the TPE program (design or implementation), as well as steering committees and workshops… More >

Océane Phanatzis^1,2,*, Rébecca Ratel^1,2, Isabelle Barcos^1,2, Marie Daspas³, Emmanuelle Clairembault³, François Alla^1,2

Psycho-Oncologie, Vol.17, No.3, pp. 133-145, 2023, DOI:10.32604/po.2023.044916

Abstract Aims: This article aims to explore the interventional and contextual components of smoking cessation support for cancer patients in the context of supportive care in cancer provided by an association, that is viable and effective in the French context, and to describe the partnership research process in which they were developed. Procedure: The intervention was developed from a dataset collected during a viability study for the development of a smoking cessation intervention carried out at the Ligue Contre le Cancer Gironde, a scoping review of evidence-based interventions and two narrative reviews on the determinants and ethical issues of smoking cessation… More >

Muayad M. Hasan^1,*, Firas K. Al-Zuhairi², Anfal H. Sadeq¹, Rana A. Azeez¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.11, pp. 2827-2835, 2023, DOI:10.32604/fdmp.2023.027746

Abstract Solvents are generally used to reduce the viscosity of heavy crude oil and ultimately enhance oil recovery. Recently, a new method has been introduced where nanoparticles (NPs) are exploited to induce enhanced oil recovery owing to their ability to improve the mobility ratio, dampen the interfacial tension, and alter rock wettability. This study investigated the integration of nano-alumina (Al₂O₃) NPs with an n-hexane solvent. In particular, a Brookfield viscometer has been used to measure the crude oil viscosity and it has been found that NPs can effectively lead to a significant decrease in the overall oil viscosity (70 cp using… More >

Xiaokui Huang¹, Yingbin Xue¹, Aaqil Khan¹, Hanqiao Hu¹, Naijie Feng^1,2,*, Dianfeng Zheng^1,2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2369-2382, 2023, DOI:10.32604/phyton.2023.027457

Abstract For the purpose of functional validation, the mung bean (Vigna radiata) VrPR gene was cloned and overexpressed in Arabidopsis thaliana. The findings revealed that the ORF of VrPR contained 1200 bp, in which 399 amino acids were encoded. Bioinformatics analysis showed that the VrPR protein belonged to the NADB Rossmann superfamily, which was one of the non-transmembrane hydrophilic proteins. VrPR was assumed to have 44 amino acid phosphorylation sites and be contained in chloroplasts. The VrPR secondary structure comprised of random coil, α helix, β angle, and extended chain, all of which were quite compatible with the anticipated tertiary structure.… More >

Khaled Belhassine^1,3, Jacques Renaud^1,2,3, Leandro Coelho^1,2,3,4, Jean-Philippe Gagliardi⁵

Revue Internationale de Géomatique, Vol.29, No.2, pp. 207-230, 2019, DOI:10.3166/rig.2019.00090

Abstract In this article, we present a spatio-temporal analysis of delivery routes from GPS points of private vehicles. Several thousand GPS geolocation observations obtained from this delivery routes are collected, processed and map matched to the road network. As a result of these spatio-temporal analyzes, we develop daily congestion index calendars as a function of the time of the day. The sectorial congestion ratios are computed and used to determine the best delivery departure times, in order to avoid road congestion. Using data from our industrial partner, our analyzes indicate a potential reduction of 22% of the duration of the delivery… More >

Baran Hekimoğlu^*

Energy Engineering, Vol.120, No.7, pp. 1515-1540, 2023, DOI:10.32604/ee.2023.029024

Abstract Two novel improved variants of reptile search algorithm (RSA), RSA with opposition-based learning (ORSA) and hybrid ORSA with pattern search (ORSAPS), are proposed to determine the proportional, integral, and derivative (PID) controller parameters of an automatic voltage regulator (AVR) system using a novel objective function with augmented flexibility. In the proposed algorithms, the opposition-based learning technique improves the global search abilities of the original RSA algorithm, while the hybridization with the pattern search (PS) algorithm improves the local search abilities. Both algorithms are compared with the original RSA algorithm and have shown to be highly effective algorithms for tuning the… More > Graphic Abstract

Pablo Saiz-Gonzalez^1,2, Daniel J. McDonough³, Wenxi Liu⁴, Zan Gao^1,*

International Journal of Mental Health Promotion, Vol.25, No.5, pp. 711-719, 2023, DOI:10.32604/ijmhp.2023.027530

Abstract Virtual reality (VR) seems to have the potential to provide opportunities to promote physical activity (PA) in a fun way. This paper aimed to examine the acute effects of three different virtual reality-based exercise bikes on young adults’ blood pressure (BP) and feelings compared to a traditional exercise cycling session. Four exercise sessions (immersive VR cycling, two non-immersive VR cycling, and traditional cycling) were completed by 36 young adults (22 females; M_age = 23.6 years). BP was measured immediately before and after each session using a BP cuff and exercise-induced feelings were assessed via an established survey immediately after each… More >

Emna Karray¹, Hela Elmannai^2,*, Elyes Toumi¹, Mohamed Hedi Gharbia³, Souham Meshoul², Hamouda Aichi⁴, Zouhaier Ben Rabah¹

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1399-1425, 2023, DOI:10.32604/cmes.2023.023164

Abstract Pedo-spectroscopy has the potential to provide valuable information about soil physical, chemical, and biological properties. Nowadays, we may predict soil properties using VNIR field imaging spectra (IS) such as Prisma satellite data or laboratory spectra (LS). The primary goal of this study is to investigate machine learning models namely Partial Least Squares Regression (PLSR) and Support Vector Regression (SVR) for the prediction of several soil properties, including clay, sand, silt, organic matter, nitrate NO3-, and calcium carbonate CaCO3, using five VNIR spectra dataset combinations (% IS, % LS) as follows: C1 (0% IS, 100% LS), C2 (20% IS, 80% LS),… More > Graphic Abstract