Zhi Li¹, Yufei Zhao², Yueming Ji², Hanwen Gu², Zaibin Jiao^2,*

Energy Engineering, Vol.121, No.12, pp. 3899-3927, 2024, DOI:10.32604/ee.2024.055899 - 22 November 2024

Abstract By integrating advanced digital technologies such as cloud computing and the Internet of Things in sensor measurement, information communication, and other fields, the digital DC distribution network can efficiently and reliably access Distributed Generator (DG) and Energy Storage Systems (ESS), exhibiting significant advantages in terms of controllability and meeting requirements of Plug-and-Play (PnP) operations. However, during device plug-in and -out processes, improper system parameters may lead to small-signal stability issues. Therefore, before executing PnP operations, conducting stability analysis and adjusting parameters swiftly is crucial. This study introduces a four-stage strategy for parameter optimization to enhance… More >

Jian Su¹, Haijian Shao^1,2,*, Xing Deng¹, Yingtao Jiang²

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2219-2242, 2024, DOI:10.32604/cmc.2024.057604 - 18 November 2024

Abstract The rapidly advancing Convolutional Neural Networks (CNNs) have brought about a paradigm shift in various computer vision tasks, while also garnering increasing interest and application in sensor-based Human Activity Recognition (HAR) efforts. However, the significant computational demands and memory requirements hinder the practical deployment of deep networks in resource-constrained systems. This paper introduces a novel network pruning method based on the energy spectral density of data in the frequency domain, which reduces the model’s depth and accelerates activity inference. Unlike traditional pruning methods that focus on the spatial domain and the importance of filters, this… More >

Alonso Alvarez, Borja Bordel Sánchez^*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2935-2966, 2024, DOI:10.32604/cmc.2024.056990 - 18 November 2024

Abstract Agile Transformations are challenging processes for organizations that look to extend the benefits of Agile philosophy and methods beyond software engineering. Despite the impact of these transformations on organizations, they have not been extensively studied in academia. We conducted a study grounded in workshops and interviews with 99 participants from 30 organizations, including organizations undergoing transformations (“final organizations”) and companies supporting these processes (“consultants”). The study aims to understand the motivations, objectives, and factors driving and challenging these transformations. Over 700 responses were collected to the question and categorized into 32 objectives. The findings show More >

Ilsun You^1,*, Xiaofeng Chen², Vishal Sharma³, Gaurav Choudhary⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 1907-1909, 2024, DOI:10.32604/cmes.2024.058939 - 31 October 2024

Abstract This article has no abstract. More >

Xinyi Guan¹, Shaoqiang Tang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010869

Abstract Inheriting a convergence difficulty explained by the Kolmogorov N-width [1], the advection-diffusion equation is not effectively solved by the Proper Generalized Decomposition [2] (PGD) method. In this paper, we propose a new strategy: Proper Generalized Decomposition with Coordinate Transformation (CT-PGD). Converting the mixed hyperbolic-parabolic equation to a parabolic one, it resumes the efficiency of convergence for advection-dominant problems. Combining PGD with CT-PGD, we solve advection-diffusion equation by much fewer degrees of freedom, hence improve the efficiency. The advection-dominant regime and diffusion-dominant regime are quantitatively classified by a threshold, computed numerically. Moreover, we find that appropriate More >

Abderrahim Boutasknit^1,2,3, Mohamed Anli³, Rachid Lahlali^4,*, Abdelilah Meddich^2,3,5,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2227-2249, 2024, DOI:10.32604/phyton.2024.055629 - 30 September 2024

Abstract Applying organic waste and inorganic additives during composting can be an effective and easy-to-control strategy for optimizing humification, maturation, and the availability of essential mineral elements in compost. In this respect, this study aims to evaluate the effect of organic (olive-mill waste and horse manure) and inorganic (phosphogypsum) additives on the evolution of maturity indices, aromatic compounds, and nutrient availability during composting. Four mixtures [horse manure + green waste (M1), olive-mill + green waste (M2), sewage-sludge + phos-phogypsum + green waste (M3), and green waste (M4)] were carried out. Physicochemical (temperature, pH, phosphorus, nitrogen, and… More >

HYEON JU LEE¹, CHANG SEOP LEE¹, SI HOON KIM¹, SOOKYUNG KIM¹, JEONG MI KIM¹, SUN-WHA IM¹, YU-JIN JUNG², SEUNG-PYO HONG³, HYUNJUNG LEE³, JONG-IL KIM^3,4,5, JEONG A. HAN^1,*

BIOCELL, Vol.48, No.10, pp. 1455-1464, 2024, DOI:10.32604/biocell.2024.054538 - 02 October 2024

Abstract Objective: Transformation from normal cells to malignant cells is the basis for tumorigenesis. While this cell transformation is known to result from aberrant activation or inactivation of associated genes, these genes have not yet been fully identified. In addition, DNAJs, proteins with a J domain, are known to be molecular co-chaperones, but their cellular functions remain largely unexplored. In this context, we here identified DNAJA4, DNAJB11, and DNAJC10 as pro-transforming genes and elucidated their action mechanisms. Methods: Senescence-associated (SA)-β-galactosidase staining and western blotting were used to analyze cellular senescence and protein expression. Soft agar assay was used… More >

Soha A. Shaban^*, Amira A. Atta, Dalia L. Elsheweikh

Computer Systems Science and Engineering, Vol.48, No.5, pp. 1213-1250, 2024, DOI:10.32604/csse.2024.052603 - 13 September 2024

Abstract Field training is the backbone of the teacher-preparation process. Its importance stems from the goals that colleges of education aim to achieve, which include bridging the gap between theory and practice and aligning with contemporary educational trends during teacher training. Currently, trainee students attendance in field training is recorded manually through signatures on attendance sheets. However, this method is prone to impersonation, time wastage, and misplacement. Additionally, traditional methods of evaluating trainee students are often susceptible to human errors during the evaluation and scoring processes. Field training also lacks modern technology that the supervisor can… More >

Xin Qi^1,#, Yu Wang^1,#, Xing Zhang¹, Xiaoshuang Wei¹, Xinyang Liu¹, Zhennan Wang¹, Zhenhui Wang^1,*, Fenglou Ling^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1767-1779, 2024, DOI:10.32604/phyton.2024.052844 - 30 July 2024

Abstract DNA methylation is an important epigenetic regulatory mechanism, it regulates gene expression by recruiting proteins involved in gene repression or by inhibiting the binding of transcription factor(s) to DNA. In this study, a novel methyltransferase 2a gene (Zmet2a) was cloned in maize and identified by polymerase chain reaction-base (PCR-base) using a bioinformatics strategy. The Zmet2a cDNA sequence is 2739 bp long and translates to 912 amino acid peptides. The Zmet2a protein revealed that it contains BAH and CHROMO structural domains, is a non-transmembrane protein that is hydrophilically unstable, and has no signal peptide structure. Meanwhile, we verified More >

G. Sunil Santhosh Kumar^1,2,*, M. Rudra Kumar³

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 695-713, 2024, DOI:10.32604/cmc.2024.050143 - 18 July 2024

Abstract This article presents an innovative approach to automatic rule discovery for data transformation tasks leveraging XGBoost, a machine learning algorithm renowned for its efficiency and performance. The framework proposed herein utilizes the fusion of diversified feature formats, specifically, metadata, textual, and pattern features. The goal is to enhance the system’s ability to discern and generalize transformation rules from source to destination formats in varied contexts. Firstly, the article delves into the methodology for extracting these distinct features from raw data and the pre-processing steps undertaken to prepare the data for the model. Subsequent sections expound… More >