Nuttida Chanhom¹, Tossapon Katongtung², Nakorn Tippayawong^2,*

Energy Engineering, Vol.121, No.12, pp. 3649-3665, 2024, DOI:10.32604/ee.2024.054862 - 22 November 2024

Abstract This study investigated the conversion of sugars into furan derivatives, specifically 2,5-dimethylfuran, through catalytic processes using bibliographic analysis. This method evaluates scientific outcomes and impact within a specific field by analyzing data such as publication trends, references, collaborative models, leading authors, and institutions. The study utilized data from the reliable Scopus database and conducted analysis using the visualization of similarity (VOS) viewer program to gain in-depth insights into the current state of research on this topic. The findings revealed that “5 hydroxymethyl furfural” was the most used keyword, followed by “biomass” and “catalysis.” The research More >

Tareq Hamadneh¹, Belal Batiha², Omar Alsayyed³, Frank Werner^4,*, Zeinab Monrazeri⁵, Mohammad Dehghani^5,*, Kei Eguchi⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2253-2323, 2024, DOI:10.32604/cmes.2024.055171 - 31 October 2024

Abstract This paper introduces the Wolverine Optimization Algorithm (WoOA), a biomimetic method inspired by the foraging behaviors of wolverines in their natural habitats. WoOA innovatively integrates two primary strategies: scavenging and hunting, mirroring the wolverine’s adeptness in locating carrion and pursuing live prey. The algorithm’s uniqueness lies in its faithful simulation of these dual strategies, which are mathematically structured to optimize various types of problems effectively. The effectiveness of WoOA is rigorously evaluated using the Congress on Evolutionary Computation (CEC) 2017 test suite across dimensions of 10, 30, 50, and 100. The results showcase WoOA’s robust… More >

RONG LIU^1,#, SHENG LI^2,#, SITU XIONG², FUCUN ZHENG², XIANGPENG ZHAN², JIN ZENG², BIN FU², SONGHUI XU², SHAOXING ZHU^1,*, RU CHEN^1,*

Oncology Research, Vol.32, No.11, pp. 1733-1746, 2024, DOI:10.32604/or.2024.050851 - 16 October 2024

Abstract EVI2A has emerged as a significant biomarker in various diseases; however, its biological role and mechanism in kidney renal clear cell carcinoma (KIRC) remains unexplored. We used TCGA and GEO databases to analyze EVI2A gene expression comprehensively and performed pan-cancer assessments. Clinical relevance was evaluated through Kaplan-Meier analysis and ROC curves. The gene’s immune relevance was explored through analyses of the tumor microenvironment (TME), Tumor Immune Single-cell Hub (TISCH), immune checkpoints, and immunotherapy sensitivity. Our results indicate that EVI2A expression is upregulated in KIRC, showing correlations with tumor grade and T/N/M stage. EVI2A demonstrates high… More >

Liang Jiang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012946

Abstract The Materials Genome Engineering (MGE) spurs the developments and applications of methods and tools in high-throughput experiments, integrated computation materials engineering and big data. Due to the unique importance and characteristics of structural alloys, there are great needs for MGE high throughput experimental methods and tools to enable efficient establishment of the complex alloy composition-microstructures-property relationships. To explore the alloy composition-phase relationships, several high-throughput experimental concepts are discussed. The diffusion-based high-throughput experimental concepts and approaches are highlighted from generating composition spread, automating characterization, and to illustrating systematic analysis. In particular, the evolution of diffusion multiple More >

Tareq Hamadneh^1,2, Khalid Kaabneh³, Omar Alssayed⁴, Kei Eguchi^5,*, Zeinab Monrazeri⁶, Mohammad Dehghani⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1725-1808, 2024, DOI:10.32604/cmes.2024.053236 - 27 September 2024

Abstract In this article, a novel metaheuristic technique named Far and Near Optimization (FNO) is introduced, offering versatile applications across various scientific domains for optimization tasks. The core concept behind FNO lies in integrating global and local search methodologies to update the algorithm population within the problem-solving space based on moving each member to the farthest and nearest member to itself. The paper delineates the theory of FNO, presenting a mathematical model in two phases: (i) exploration based on the simulation of the movement of a population member towards the farthest member from itself and (ii)… More >

Aline Ferreira Knihs, Larissa Klen Aragão, Miguel Angelo Granato, Andrea Cristiane Krause Bierhalz^*, Rita de Cassia Siqueira Curto Valle

Journal of Renewable Materials, Vol.12, No.9, pp. 1557-1571, 2024, DOI:10.32604/jrm.2024.052963 - 25 September 2024

Abstract The textile industry generates large volumes of waste throughout its production process. Most of this waste is colored, therefore, discoloration is an important step toward recycling and reusing this waste. This study focused on the chemical reductive discoloration of textile waste composed of cotton dyed with reactive dye. The experimental design demonstrated the significant influence of the concentration of reducing agent and time of reaction on the degree of whiteness of the cotton fibers. The concentration of the alkaline agent was not significant in the process. The optimization of the reaction conditions lead to Berger… More > Graphic Abstract

Chaoying Wang¹, Lihui Ma², Yingzan Xie², Bo Ding³, Jingsi Huang⁴, Qian Wang^4,*

Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1981-1993, 2024, DOI:10.32604/phyton.2024.050099 - 30 August 2024

Abstract Myricaria laxiflora, which grows along the Yangtze River in China, holds ornamental, ecological, and medicinal value. However, its wild population is threatened and currently designated protected as a national priority. The present research was the first to sequence and assemble M. laxiflora’s mitochondrial genome and examine its structural characteristics and phylogenetic relationships with other sequenced Caryophyllales species. The mitochondrial double-stranded closed-ring genome of M. laxiflora was found to be 389,949 bp in length, containing numerous repetitive sequences and RNA editing sites, with 34 protein encoding, 21 tRNA, and 3 rRNA genes. Although there are 22 fragments in the More >

Tareq Hamadneh¹, Khalid Kaabneh², Ibraheem AbuFalahah³, Gulnara Bektemyssova^4,*, Galymzhan Shaikemelev⁴, Dauren Umutkulov⁴, Sayan Omarov⁵, Zeinab Monrazeri⁶, Frank Werner⁷, Mohammad Dehghani^6,*

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2721-2741, 2024, DOI:10.32604/cmc.2024.054317 - 15 August 2024

Abstract This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization (MFO), inspired by the unique behaviors observed in magnificent frigatebirds in their natural habitats. The foundation of MFO is based on the kleptoparasitic behavior of these birds, where they steal prey from other seabirds. In this process, a magnificent frigatebird targets a food-carrying seabird, aggressively pecking at it until the seabird drops its prey. The frigatebird then swiftly dives to capture the abandoned prey before it falls into the water. The theoretical framework of MFO is thoroughly detailed and mathematically represented, mimicking the frigatebird’s… More >

Muhammad Ayoub Kamal^1,3, Muhammad Mansoor Alam^1,2,4,6, Aznida Abu Bakar Sajak¹, Mazliham Mohd Su’ud^2,5,*

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 1927-1945, 2024, DOI:10.32604/cmc.2024.052169 - 15 August 2024

Abstract In situations when the precise position of a machine is unknown, localization becomes crucial. This research focuses on improving the position prediction accuracy over long-range (LoRa) network using an optimized machine learning-based technique. In order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting method over LoRa technology, this study proposed an optimized machine learning (ML) based algorithm. Received signal strength indicator (RSSI) data from the sensors at different positions was first gathered via an experiment through the LoRa network in a multistory round layout building. The More >

Laure Salomé^1,*, Jérémy Martin², Camille Baussant-Crenn², Cécile Flahault³

Psycho-Oncologie, Vol.18, No.2, pp. 137-146, 2024, DOI:10.32604/po.2024.046820 - 06 August 2024

Abstract Objectif: Explorer l’expérience des parents face à l’hospitalisation à domicile (HAD) de leur enfant atteint de cancer afin d’identifier les apports, attentes et difficultés éventuelles liées à ce mode d’hospitalisation. Matériel et méthodes: Une méthode qualitative a été adoptée, des entretiens non directifs ont été réalisés auprès de neuf participants, puis analysés selon une analyse thématique de contenu. Résultats: Les principaux thèmes récurrents du discours incluent : (1) le soulagement, (2) la représentation positive de la maison, (3) et la représentation positive de l’HAD et (4) la représentation négative de l’HAD. Pour ces parents, l’HAD semblent More >