Hao Cui, Yanling Guo^*, Yaning Xiao, Yangwei Wang^*, Jian Li, Yapeng Zhang, Haoyu Zhang

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1635-1675, 2023, DOI:10.32604/cmes.2023.026019 - 26 June 2023

Abstract Harris Hawks Optimization (HHO) is a novel meta-heuristic algorithm that imitates the predation characteristics of Harris Hawk and combines Lévy flight to solve complex multidimensional problems. Nevertheless, the basic HHO algorithm still has certain limitations, including the tendency to fall into the local optima and poor convergence accuracy. Coot Bird Optimization (CBO) is another new swarm-based optimization algorithm. CBO originates from the regular and irregular motion of a bird called Coot on the water’s surface. Although the framework of CBO is slightly complicated, it has outstanding exploration potential and excellent capability to avoid falling into… More > Graphic Abstract

Hafiza Arooj Razzaq¹, Siddra Ijaz^1,*, Imran Ul Haq², Faisal Saeed Awan¹

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2451-2460, 2023, DOI:10.32604/phyton.2023.030501 - 25 June 2023

Abstract The imperative aspect of the CRISPR/Cas9 system is a short stretch of 20 nucleotides of gRNA that control the overall specificity. Due to the small size, the chance of its multiple occurrences in the genome increases; however, a few mismatches are tolerated by the Cas9 endonuclease activity. An accurate and careful in silico-based off-target prediction while target selection is preferred to address the issue. These predictions are based on a comprehensive set of selectable parameters. Therefore, we investigated the possible off-target prediction and their screening in StERF3 gene-edited potato plants while developing StERF3-loss-of-function mutants using CRISPR/Cas9 More >

SHA ZHU^#, NANWEI XU^#, JIAYU LIANG, FENGNIAN ZHAO, ZILIN WANG, YUCHAO NI, JINDONG DAI, JINGE ZHAO, XINGMING ZHANG, JUNRU CHEN, GUANGXI SUN, PENGFEI SHEN^*, HAO ZENG^*

Oncology Research, Vol.31, No.4, pp. 605-614, 2023, DOI:10.32604/or.2023.028321 - 25 June 2023

Abstract Background: KMT2 (lysine methyltransferase) family enzymes are epigenetic regulators that activate gene transcription. KMT2C is mainly involved in enhancer-associated H3K4me1, and is also one of the top mutated genes in cancer (6.6% in pan-cancer). Currently, the clinical significance of KMT2C mutations in prostate cancer is understudied. Methods: We included 221 prostate cancer patients diagnosed between 2014 and 2021 in West China Hospital of Sichuan University with cell-free DNA-based liquid biopsy test results in this study. We investigated the association between KMT2C mutations, other mutations, and pathways. Furthermore, we evaluated the prognostic value of KMT2C mutations, measured by… More >

DHANYA K. NAMBIAR¹, DEEPALI MISHRA², RANA P. SINGH^2,3,*

Oncology Research, Vol.31, No.4, pp. 405-421, 2023, DOI:10.32604/or.2023.028310 - 25 June 2023

Abstract Ionizing radiation is frequently used to treat solid tumors, as it causes DNA damage and kill cancer cells. However, damaged DNA is repaired involving poly-(ADP-ribose) polymerase-1 (PARP-1) causing resistance to radiation therapy. Thus, PARP-1 represents an important target in multiple cancer types, including prostate cancer. PARP is a nuclear enzyme essential for single-strand DNA breaks repair. Inhibiting PARP-1 is lethal in a wide range of cancer cells that lack the homologous recombination repair (HR) pathway. This article provides a concise and simplified overview of the development of PARP inhibitors in the laboratory and their clinical More > Graphic Abstract

WENQI CHEN^1,#, XIAOYANG CHU^2,#, YANG ZENG^3,#, YOUSHENG YAN⁴, YIPENG WANG⁴, DONGLAN SUN¹, DONGLIANG ZHANG⁵, JING ZHANG^1,*, KAI YANG^4,*

BIOCELL, Vol.47, No.7, pp. 1561-1569, 2023, DOI:10.32604/biocell.2023.028851 - 21 June 2023

Abstract Background: Receptor tyrosine kinase-like orphan receptor 2 (ROR2) has a vital role in osteogenesis. However, the mechanism underlying the regulation of ROR2 in osteogenic differentiation is still poorly comprehended. A previous study by our research group showed that a novel compound heterozygous ROR2 variation accounted for the autosomal recessive Robinow syndrome (ARRS). This study attempted to explore the impact of the ROR2: c.904C>T variant specifically on the osteogenic differentiation of BMSCs. Methods: Coimmunoprecipitation (CoIP)-western blotting was carried out to identify the interaction between ROR2 and Wnt5a. Double-immunofluorescence staining was used for determining the expressions and co-localization… More > Graphic Abstract

Sugey Vásquez-Hernández, Joaquín Adolfo Montes-Molina^*, Federico Antonio Gutiérrez-Miceli, Sheila Jazmín Reyes-Zambrano, Carlos Alberto Lecona-Guzmán^*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2065-2078, 2023, DOI:10.32604/phyton.2023.028784 - 29 May 2023

Abstract Biotechnological techniques provide a viable alternative to help improve and increase the production of plant species of agricultural and economic importance, which have been affected over the years by climate change, increasing their susceptibility to pests and/or diseases, generating losses in production as well as a decrease in their regenerative and genetic diversity. The application of biotechnological techniques such as in vitro mutagenesis offers a viable option for the generation of crops that are resistant to the different factors caused by abiotic and biotic stress. In vitro mutagenesis has been used in an efficient way to generate… More >

YANYA CHEN^1,#, HONGYUAN WU^2,#, RUISI ZHOU^5,#, HELING DONG⁴, XUEFANG ZHANG², XUEWEI WU¹, WENSHAN CHEN¹, YANTING YOU^5,*, YIFEN WU^3,*

BIOCELL, Vol.47, No.6, pp. 1353-1364, 2023, DOI:10.32604/biocell.2023.027346 - 19 May 2023

Abstract Background: The relationship between microRNA (miRNA) expression patterns and tumor mutation burden (TMB) in uterine corpus endometrial carcinoma (UCEC) was investigated in this study. Methods: The UCEC dataset from The Cancer Genome Atlas (TCGA) database was used to identify the miRNAs that differ in expression between high TMB and low TMB sample sets. The total sample sets were divided into a training set and a test set. TMB levels were predicted using miRNA-based signature classifiers developed by Lasso Cox regression. Test sets were used to validate the classifier. This study investigated the relationship between a miRNA-based signature… More >

Wenchao Ma^*

Energy Engineering, Vol.120, No.7, pp. 1685-1699, 2023, DOI:10.32604/ee.2023.025404 - 04 May 2023

Abstract The power output state of photovoltaic power generation is affected by the earth's rotation and solar radiation intensity. On the one hand, its output sequence has daily periodicity; on the other hand, it has discrete randomness. With the development of new energy economy, the proportion of photovoltaic energy increased accordingly. In order to solve the problem of improving the energy conversion efficiency in the grid-connected optical network and ensure the stability of photovoltaic power generation, this paper proposes the short-term prediction of photovoltaic power generation based on the improved multi-scale permutation entropy, local mean decomposition… More >

Jianguo Zheng, Shuilin Chen^*

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3619-3635, 2023, DOI:10.32604/csse.2023.038025 - 03 April 2023

Abstract To solve the problem of slow convergence and easy to get into the local optimum of the spider monkey optimization algorithm, this paper presents a new algorithm based on multi-strategy (ISMO). First, the initial population is generated by a refracted opposition-based learning strategy to enhance diversity and ergodicity. Second, this paper introduces a non-linear adaptive dynamic weight factor to improve convergence efficiency. Then, using the crisscross strategy, using the horizontal crossover to enhance the global search and vertical crossover to keep the diversity of the population to avoid being trapped in the local optimum. At More >

V. Prakash^*, S. Gopalakrishnan

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2575-2590, 2023, DOI:10.32604/iasc.2023.032122 - 15 March 2023

Abstract Software test case optimization improves the efficiency of the software by proper structure and reduces the fault in the software. The existing research applies various optimization methods such as Genetic Algorithm, Crow Search Algorithm, Ant Colony Optimization, etc., for test case optimization. The existing methods have limitations of lower efficiency in fault diagnosis, higher computational time, and high memory requirement. The existing methods have lower efficiency in software test case optimization when the number of test cases is high. This research proposes the Tournament Winner Genetic Algorithm (TW-GA) method to improve the efficiency of software… More >