Yuanyuan Liu, Zhen Li, Lie Xu, Qiang Fu^*, Yongjian Wang

Phyton-International Journal of Experimental Botany, Vol.91, No.1, pp. 115-128, 2022, DOI:10.32604/phyton.2022.015395

Abstract A key scientific challenge relating to the threat of invasive plants on agriculture at the region level is to understand their adaptation and evolution in functional traits. Leaf functional traits, related to growth and resource utilization, might lead to adaptation of invasive plants to the geographical barriers (region or elevation). In the field experiment, we discussed the effects of region and elevation on leaf functional traits on invasive plant Erigeron annuus in farmland habitats in China. We compared leaf size, coefficient of variation (CV) of leaf traits, and fluctuating asymmetry (FA) of E. annuus from three regions (east vs. center… More >

Seerat Saleem¹, Naveed Ul Mushtaq¹, Wasifa Hafiz Shah¹, Aadil Rasool¹, Khalid Rehman Hakeem^2,*, Reiaz Ul Rehman^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1363-1385, 2021, DOI:10.32604/phyton.2021.014826

Abstract Abiotic stresses such as drought, heat, cold, nutrient deficiency, excess salt and hazardous metals can hamper plantgrowth and development. Intensive agriculture of only a few major staple food crops that are sensitive and intolerant to environmental stresses has led to an agrarian crisis. On the other hand, nutritionally rich, gluten free and stress tolerant plants like millets are neglected and underutilized. Millets sustain about one-third of the world’s population and show exceptional tolerance to various abiotic and biotic stresses. Millets are C4 plants that are adapted to marginal and dry lands of arid and semi-arid regions, and survive low rainfall… More >

Ying Sun¹, Yanfei Sun^1,2,*, Jin Qi¹, Fei Wu¹, Xiao-Yuan Jing^1,3, Yu Xue⁴, Zixin Shen⁵

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3373-3389, 2021, DOI:10.32604/cmc.2021.016539

Abstract Cross-project defect prediction (CPDP) aims to predict the defects on target project by using a prediction model built on source projects. The main problem in CPDP is the huge distribution gap between the source project and the target project, which prevents the prediction model from performing well. Most existing methods overlook the class discrimination of the learned features. Seeking an effective transferable model from the source project to the target project for CPDP is challenging. In this paper, we propose an unsupervised domain adaptation based on the discriminative subspace learning (DSL) approach for CPDP. DSL treats the data from two… More >

Tao Li¹, Fei Feng^2,*, Che Tong Nah³

International Journal of Mental Health Promotion, Vol.23, No.1, pp. 111-120, 2021, DOI:10.32604/IJMHP.2021.014433

Abstract This study aimed to investigate the link between the exposure to intimate partner violence (IPV), core self-evaluations (CSE), and psychological adaptation of Chinese adolescents, through analysis of the results from the Survey of Children’s Exposure to Domestic Violence Scale, Core Self-Evaluations Scale, and Strengths and Difficulties Questionnaire, involving a total of 597 Chinese middle school students. It is indicated that the exposure to IPV is positively correlated with lower levels of psychological adaptation and CSE, and CSE is positively correlated with higher levels of psychological adaptation. Mediation analysis revealed that CSE partially mediated the association between the exposure to IPV… More >

Masood Ahmad¹, Abdul Hameed², Fasee Ullah^3,*, Ishtiaq Wahid¹, Atif Khan⁴, M. Irfan Uddin⁵, Shafiq Ahmad⁶, Ahmed M. El-Sherbeeny⁶

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1353-1368, 2021, DOI:10.32604/cmc.2021.014237

Abstract Clustering algorithms optimization can minimize topology maintenance overhead in large scale vehicular Ad hoc networks (VANETs) for smart transportation that results from dynamic topology, limited resources and non-centralized architecture. The performance of a clustering algorithm varies with the underlying mobility model to address the topology maintenance overhead issue in VANETs for smart transportation. To design a robust clustering algorithm, careful attention must be paid to components like mobility models and performance objectives. A clustering algorithm may not perform well with every mobility pattern. Therefore, we propose a supervisory protocol (SP) that observes the mobility pattern of vehicles and identifies the… More >

WU LI¹, JIANGZHE SI², SHUAI QIU², JING LUO¹, HUIQIONG SUN¹, XIAOQING LI¹, ZHIBIN WAN¹, WEI GAO¹, HANLU ZOU¹, LEI ZHANG², XIAOHONG XIANG³, YANZHANG LI², TIESHAN TENG^2,*

BIOCELL, Vol.44, No.4, pp. 695-701, 2020, DOI:10.32604/biocell.2020.011941

Abstract The rapid emergence of multidrug-resistant and extensively drug-resistant Tuberculosis retrieved intense interest in phage-based therapy. This old approach, which was abandoned in the west in the 1940s but is generating renewed interest, has stimulated fresh research on mycobacteriophages and their lytic efficiency against their hosts. GP30 is a novel protein of the mycobacteriophage CASbig with undiscovered function. In this study, we analyzed the role of CASbig gp30 in the host Mycobacterium smegmatis. Overexpression of gp30 in the host led to reduced growth in acidic medium and attenuated the intracellular survival rate of M. smegmatis inside the THP-1 macrophages, which may… More >

Ying Tian^{1, *}, Libing Wang¹, Hexin Gu², Lin Fan³

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2397-2412, 2020, DOI:10.32604/cmc.2020.011386

Abstract The application of deep learning in the field of object detection has experienced much progress. However, due to the domain shift problem, applying an off-the-shelf detector to another domain leads to a significant performance drop. A large number of ground truth labels are required when using another domain to train models, demanding a large amount of human and financial resources. In order to avoid excessive resource requirements and performance drop caused by domain shift, this paper proposes a new domain adaptive approach to cross-domain vehicle detection. Our approach improves the cross-domain vehicle detection model from image space and feature space.… More >

Ridvan Saraçoğlu^*, Ahmet Fatih Kazankaya^†

Computer Systems Science and Engineering, Vol.35, No.1, pp. 13-19, 2020, DOI:10.32604/csse.2020.35.013

Abstract The genetic algorithm (GA) is a metaheuristic method which simulates the life cycle and the survival of the fittest in the nature for solving optimization problems. This study aimed to develop enhanced operation by modifying the current GA. This development process includes an adaptation method that contains certain developments and adds a new process to the classic algorithm. Individuals of a population will be trialed to adapt to the current solution of the problem by taking them separately for each generation. With this adaptation method, it is more likely to get better results in a shorter time. Experimental results show… More >

Ti-Hung Chen¹, Ming-Feng Yeh^2,*

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 407-420, 2020, DOI:10.32604/iasc.2020.013917

Abstract On the basis of JADE (adaptive differential evolution with optional external archive) and the modified differential evolution with p-best crossover (MDE_pBX), this study attempts to propose a modified mutation strategy termed "DE/(pbest)/1" for the differential evolution (DE) algorithm, where “(pbest)” represents the mean of p top-best vectors. Two modified parameter adaptation mechanisms are also proposed to update the crossover rate and the scale factor, respectively, in an adaptive manner. The DE variant with the proposed mutation strategy and two modified adaptation mechanisms is termed adaptive differential evolution with mean-of-pbest mutation strategy, denoted by ADE_pBM is comparable to or better than… More >

Moeiz Miraoui^a, Sherif El-Etriby^b, Chakib Tadj^c, Abdulbasit Zaid Abid^a

Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 299-308, 2018, DOI:10.1080/10798587.2017.1281565

Abstract Smart spaces have attracted considerable amount of interest over the past few years. The introduction of sensor networks, powerful electronics and communication infrastructures have helped a lot in the realization of smart homes. The main objective of smart homes is the automation of tasks that might be complex or tedious for inhabitants by distracting them from concentrating on setting and configuring home appliances. Such automation could improve comfort, energy savings, security, and tremendous benefits for elderly persons living alone or persons with disabilities. Context awareness is a key enabling feature for development of smart homes. It allows the automation task… More >