ALEKSANDRA GORNOSTAEVA, ELENA ANDREEVA^*, LUDMILA BURAVKOVA^*

BIOCELL, Vol.46, No.9, pp. 2049-2052, 2022, DOI:10.32604/biocell.2022.019993

Abstract Multipotent mesenchymal stromal cells (MSCs) are actively involved in reparation and inflammation processes, providing damaged tissue reparation and suppressing immune cell responses in vivo. The effects are mostly due to the production of a wide range of paracrine factors, including growth factors and immunomodulatory mediators. To induce immunosuppressive activity, MSCs are primed by inflammatory cytokines, which results in an increased production of immunomodulatory molecules. However, stimulation of reparative properties is also necessary. This viewpoint manuscript highlights the possibilities of inflammatory priming to increase the production of growth factors by MSCs. More >

Ganli Liao¹, Qianqiu Wang¹, Yi Li^2,*

International Journal of Mental Health Promotion, Vol.24, No.2, pp. 237-249, 2022, DOI:10.32604/ijmhp.2022.017610

Abstract The development of electronic information technology has made workplace gossip more ubiquitous. As a part of interpersonal communication on informal occasions, positive workplace gossip affects individuals’ mood, cognition, and behaviors. In light of this and based on the Social Interdependence Theory, the study proposed that positive workplace gossip has a negative effect on employee silence, and psychological safety mediates this relationship. In addition, the promotion-focused moderates the relationship between psychological safety and employee silence. Based on a two-wave sampling design from 311 innovative enterprises employees, the results of Structural Equation Model by AMOS 22.0 and Mplus 7.0 supported all the… More >

S. Neelakandan^1,*, A. Arun², Raghu Ram Bhukya³, Bhalchandra M. Hardas⁴, T. Ch. Anil Kumar⁵, M. Ashok⁶

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1617-1632, 2022, DOI:10.32604/iasc.2022.022209

Abstract In recent years, web crawling has gained a significant attention due to the drastic advancements in the World Wide Web. Web Search Engines have the issue of retrieving massive quantity of web documents. One among the web crawlers is the focused crawler, that intends to selectively gather web pages from the Internet. But the efficiency of the focused crawling can easily be affected by the environment of web pages. In this view, this paper presents an Automated Word Embedding with Parameter Tuned Deep Learning (AWE-PTDL) model for focused web crawling. The proposed model involves different processes namely pre-processing, Incremental Skip-gram… More >

Usman Ali, Muhammad Tariq Mahmood^*

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1597-1611, 2022, DOI:10.32604/cmc.2022.022219

Abstract Enormous methods have been proposed for the detection and segmentation of blur and non-blur regions of the images. Due to the limited available information about blur type, scenario and the level of blurriness, detection and segmentation is a challenging task. Hence, the performance of the blur measure operator is an essential factor and needs improvement to attain perfection. In this paper, we propose an effective blur measure based on local binary pattern (LBP) with adaptive threshold for blur detection. The sharpness metric developed based on LBP used a fixed threshold irrespective of the type and level of blur, that may… More >

Muhammad Ahmad^1,*, M. Arfan Jaffar¹, Fawad Nasim¹, Tehreem Masood¹, Sheeraz Akram²

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 735-752, 2022, DOI:10.32604/cmc.2022.019691

Abstract

Due to limited depth-of-field of digital single-lens reflex cameras, the scene content within a limited distance from the imaging plane remains in focus while other objects closer to or further away from the point of focus appear as blurred (out-of-focus) in the image. Multi-Focus Image Fusion can be used to reconstruct a fully focused image from two or more partially focused images of the same scene. In this paper, a new Fuzzy Based Hybrid Focus Measure (FBHFM) for multi-focus image fusion has been proposed. Optimal block size is very critical step for multi-focus image fusion. Particle Swarm Optimization (PSO) algorithm… More >

Muhammad Tariq Mahmood^*

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4867-4882, 2022, DOI:10.32604/cmc.2022.019544

Abstract Detection and classification of the blurred and the non-blurred regions in images is a challenging task due to the limited available information about blur type, scenarios and level of blurriness. In this paper, we propose an effective method for blur detection and segmentation based on transfer learning concept. The proposed method consists of two separate steps. In the first step, genetic programming (GP) model is developed that quantify the amount of blur for each pixel in the image. The GP model method uses the multi-resolution features of the image and it provides an improved blur map. In the second phase,… More >

Kalaipriyan Thirugnansambandam¹, Debnath Bhattacharyya², Jaroslav Frnda³, Dinesh Kumar Anguraj², Jan Nedoma^4,*

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3629-3644, 2021, DOI:10.32604/cmc.2021.018939

Abstract In Wireless Sensor Network (WSN), coverage and connectivity are the vital challenges in the target-based region. The linear objective is to find the positions to cover the complete target nodes and connectivity between each sensor for data forwarding towards the base station given a grid with target points and a potential sensor placement position. In this paper, a multiobjective problem on target-based WSN (t-WSN) is derived, which minimizes the number of deployed nodes, and maximizes the cost of coverage and sensing range. An Evolutionary-based Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is incorporated to tackle this multiobjective problem efficiently. Multiobjective problems are… More >

Hai Liu^1,*, Xiangchao Zhou^2,3

Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1493-1501, 2020, DOI:10.32604/iasc.2020.012159

Abstract Aiming at the problems of poor brightness control effect and low registration accuracy in traditional multi focus image registration, a wavelet multi-scale multi focus image region fusion registration method is proposed. The multi-scale Retinex algorithm is used to enhance the image, the wavelet decomposition similarity analysis is used for image interpolation, and the EMD method is used to decompose the multi focus image. Finally, the image reconstruction is completed and the multi focus image registration is realized. In order to verify the multi focus image fusion registration effect of different methods, a comparative experiment was designed. Experimental results show that… More >

Dongping Tian^a,b

Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 331-342, 2018, DOI:10.1080/10798587.2017.1293881

Abstract Particle swarm optimization (PSO) is a population based swarm intelligence algorithm that has been deeply studied and widely applied to a variety of problems. However, it is easily trapped into the local optima and premature convergence appears when solving complex multimodal problems. To address these issues, we present a new particle swarm optimization by introducing chaotic maps (Tent and Logistic) and Gaussian mutation mechanism as well as a local re-initialization strategy into the standard PSO algorithm. On one hand, the chaotic map is utilized to generate uniformly distributed particles to improve the quality of the initial population. On the other… More >

So Yeon Yoo¹, Yun-Jung Choi^2,*, Youn-Joo Um^2,*

International Journal of Mental Health Promotion, Vol.22, No.2, pp. 83-91, 2020, DOI:10.32604/IJMHP.2020.011299

Abstract As the demand for high-quality mental health services increases, producing expert nurses with the skills and expertise to deal with various complex mental health situations involving diverse subjects is critical. Nursing programs should be prepared to provide education that can improve mental health professional competence. Using a qualitative study and focus group interviews, we focused on the experiences of nursing students who voluntarily participated in campaign activities to prevent gambling problems. The respondents were 23 nursing students who participated in the campaign for more than four months. Data were analyzed using Downe-Wamboldt’s eight steps of content analysis. The experiences of… More >