Amnart Boonloi^a, Withada Jedsadaratanachai^b,*

Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-11, 2020, DOI:10.5098/hmt.14.27

Abstract Numerical predictions on heat transfer characteristic, flow topology and thermal performance assessment in a square duct are presented. The passive technique, insertion of the vortex generator, is opted to develop the heat transfer rate in the square duct heat exchanger. The vortex generator of the present research is Double V-Orifice (DVO). The square duct equipped with DVO is tested with various parameters. The influences of DVO height, b, to the duct height, H, or b/H, gap spacing between the outer edge of the orifice and the duct wall, s, to the duct height or s/H and flow directions (tip-pointing-Downstream and… More >

D. Ogez, J. Aramideh, E. Rondeau, T. Mizrahi, M.-C. Charest , C. Plante, M. Duval, S. Sultan

Psycho-Oncologie, Vol.16, No.1, pp. 199-205, 2022, DOI:10.3166/pson-2022-0185

Abstract Les enfants atteints d’un cancer sont régulièrement confrontés à des procédures douloureuses au cours de leur prise en charge. Afin de les accompagner au mieux dans leurs soins, des techniques de communication dérivées de l’hypnose ont montré d’excellents niveaux d’efficacité sur la réduction de la détresse et de la douleur associées à ces procédures. Nous avons mené une étude préliminaire évaluant les effets d’une formation à la communication hypnotique sur la pratique des infirmières lors de procédures douloureuses auprès d’enfants atteints d’un cancer. Les résultats ont montré une bonne acquisition des techniques par les infirmières et des effets importants de… More >

K. Lamore, D. Ogez

Psycho-Oncologie, Vol.16, No.1, pp. 166-172, 2022, DOI:10.3166/pson-2022-0182

Abstract Cet article a pour objectif de décrire les méthodes pouvant être utilisées pour développer, évaluer et implé- menter en pratique clinique de nouvelles interventions en psycho-oncologie. Pour cela, deux modèles de référence à l’international sont présentés afin d’apporter un éclairage scientifique aux différents acteurs impliqués dans ces recherches. Ce travail concerne cliniciens, chercheurs, acteurs institutionnels et patients ; cela afin de développer de nouveaux projets utilisant une rigueur méthodologique et d’intérêt pour améliorer les conditions des patients et des proches. More >

ZICHEN SHAO^1,2,#, CHUNG-YI CHEN^3,#, XUZHOU CHEN¹, HANWU CHEN¹, MENGQIAO SU^1,2, HUI SUN^1,2, YIDAN LI^1,2, BINGHUA TU¹, ZITONG WANG¹, CHI-MING LIU^1,*

BIOCELL, Vol.47, No.6, pp. 1389-1396, 2023, DOI:10.32604/biocell.2023.028222

Abstract Background: Benign prostatic hyperplasia (BPH) is a common condition in middle-aged and elderly men. Enlargement of the prostate causes lower urinary tract symptoms. Capsaicin is a phytochemical extracted from chili peppers and exerts many pharmacological actions, such as anti-tumor and anti-inflammatory effects. Methods: Our study investigated the effect of capsaicin in vitro and in a mouse model in vivo. A prostatic stromal myofibroblast cell line (WPMY-1) was co-incubated with testosterone (1 µM) and different concentrations of capsaicin (10–100 µM) for 24 and 48 h. Capsaicin (10–100 µM) significantly inhibited testosterone-treated WPMY-1 cell growth at 48 h by MTT assay. The… More >

E. Jenifer Sweetlin^*, S. Saudia

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 343-367, 2023, DOI:10.32604/iasc.2023.036742

Abstract This paper proposes a hybrid feature selection sequence complemented with filter and wrapper concepts to improve the accuracy of Machine Learning (ML) based supervised classifiers for classifying the survivability of breast cancer patients into classes, living and deceased using METABRIC and Surveillance, Epidemiology and End Results (SEER) datasets. The ML-based classifiers used in the analysis are: Multiple Logistic Regression, K-Nearest Neighbors, Decision Tree, Random Forest, Support Vector Machine and Multilayer Perceptron. The workflow of the proposed ML algorithm sequence comprises the following stages: data cleaning, data balancing, feature selection via a filter and wrapper sequence, cross validation-based training, testing and… More >

N.Vijaya^a,* , P. Krishna Jyothi^b, A. Anupama^c, R. Leelavathi^d, K. Ambica^e

Frontiers in Heat and Mass Transfer, Vol.17, pp. 1-8, 2021, DOI:10.5098/hmt.17.23

Abstract The main intention of this study is to explore Maxwell fluid under the influence of thermophoresis and buoyancy forces induced by exponentially stretching sheet under chemical reaction. Cattaneo –Christov heat flux model is used to explore heat and mass characteristics with variable magnetic field, and chemical reaction. Variables of similarity were induced to transmute partial differential equations into dimensionless equations and are resolved numerically by elegant method bvp 4c. Behavior of various critical parameters on velocity, temperature and concentrations is graphically presented and discussed. Non Newtonian nature of the Maxwell fluid is clearly explored by the Maxwell parameter, it was… More >

Minting Lai, Guijun Xie^*, Wanju Li, Lamei Li, Yongjian Cao

Journal of Renewable Materials, Vol.11, No.6, pp. 2665-2678, 2023, DOI:10.32604/jrm.2023.027441

Abstract Heat-treated wood has good dimensional stability, durability, and color, but its susceptibility to fungal growth affects its commercial value. In this study, lumber harvested from mature Masson’s pine (Pinus massoniana Lamb.) was vacuum impregnated with a basic copper salt solution (copper hydroxide, diethanolamine, and polyethylene glycol 200) prior to heat-treatment at 220°C for 3 h. Antifungal properties, surface chemistry, crystal structure and sugar contents were tested, compared with heat treatment alone. The results showed that the samples treated by heating without copper salt treatment showed poor suppression of fungal growth, the copper-impregnated heat-treated wood suppressed (100%) the growth of Botryodiplodia theobromae… More >

Amnart Boonloi^a, Withada Jedsadaratanachai^b,*

Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-13, 2022, DOI:10.5098/hmt.18.2

Abstract This study numerically investigates pressure loss, heat transfer and thermal efficiency in round tube heat exchangers attached with various types of Vrings. A typical type A V-ring is compared with two types of modified V-rings (type B and C). The impacts of blockage ratios, b/D = 0.05, 0.10, 0.15 and 0.20 for all V-ring types in the turbulent region are discussed (Re = 3000 – 20,000). Flow directions in the round pipe attached with the V-rings are varied. The V-apex setting downstream is referred to as “V-Downstream, while the V-apex setting upstream is referred to as “V-Upstream”. The flow and… More >

QIAOLING WU^1,2, ZHAOLEI CUI³, HONGMEI XIA¹, SHAN JIANG¹, JING BAI⁴, ZHUO SHAO⁴, YANG SUN^1,*

BIOCELL, Vol.47, No.5, pp. 1039-1050, 2023, DOI:10.32604/biocell.2023.027494

Abstract Background: Ovarian cancer (OC) is a leading cause of gynecological cancer-linked deaths worldwide. Exosomal miR-1825 and its target gene C-type lectin domain family 5 member A (CLEC5A) are associated with tumorigenesis in cancers that was further probed. Methods: Exosomal miR-1825 expression in exosomes and its impact on overall survival (OS) prediction were determined using Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data. Target genes of miR-1825 were searched in five prediction databases and prognostically significant differentially expressed genes were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were carried out. The… More >

I. Mettildha Mary^1,*, K. Karuppasamy²

Computer Systems Science and Engineering, Vol.46, No.3, pp. 2667-2685, 2023, DOI:10.32604/csse.2023.031114

Abstract CC’s (Cloud Computing) networks are distributed and dynamic as signals appear/disappear or lose significance. MLTs (Machine learning Techniques) train datasets which sometime are inadequate in terms of sample for inferring information. A dynamic strategy, DevMLOps (Development Machine Learning Operations) used in automatic selections and tunings of MLTs result in significant performance differences. But, the scheme has many disadvantages including continuity in training, more samples and training time in feature selections and increased classification execution times. RFEs (Recursive Feature Eliminations) are computationally very expensive in its operations as it traverses through each feature without considering correlations between them. This problem can… More >