Qing Zhu^1,*, Linlin Gu^1,2, Huijie Lin^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 577-591, 2024, DOI:10.32604/cmes.2023.043307

Abstract With the rapid development of electric power systems, load estimation plays an important role in system operation and planning. Usually, load estimation techniques contain traditional, time series, regression analysis-based, and machine learning-based estimation. Since the machine learning-based method can lead to better performance, in this paper, a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is proposed. First, an image fingerprint construction is proposed for training data. After the data preprocessing, the training data matrix is constructed by the cyclic shift and cubic spline interpolation. Then, the linear mapping and the gray-color transformation method are proposed to… More >

JIA SHAO^1,2, CAN ZHANG², YAONAN TANG², AIQIN HE², WEIPEI ZHU^1,*

BIOCELL, Vol.48, No.4, pp. 571-580, 2024, DOI:10.32604/biocell.2024.049092

Abstract Objective: Previous studies indicated that aberrant circular RNA (circRNA) expression affects gene expression regulatory networks, leading to the aberrant activation of tumor pathways and promoting tumor cell growth. However, the expression, clinical significance, and effects on cell propagation, invasion, and dissemination of circRNA_001896 in cervical cancer (CC) tissues remain unclear. Methods: The Gene Expression Omnibus (GEO) datasets (GSE113696 and GSE102686) were used to examine differential circRNA expression in CC and adjacent tissues. The expression of circRNA_001896 was detected in 72 CC patients using fluorescence quantitative PCR. Correlation analysis with clinical pathological features was performed through COX multivariate and univariate analysis.… More >

YARA ALZGHOUL, HALA J. BANI ISSA, AHMAD K. SANAJLEH, TAQWA ALABDUH, FATIMAH RABABAH, MAHA AL-SHDAIFAT, EJLAL ABU-EL-RUB^*, FATIMAH ALMAHASNEH, RAMADA R. KHASAWNEH, AYMAN ALZU’BI, HUTHAIFA MAGABLEH

BIOCELL, Vol.48, No.4, pp. 559-569, 2024, DOI:10.32604/biocell.2024.048056

Abstract Mesenchymal stem cells (MSCs) are ideal candidates for treating many cardiovascular diseases. MSCs can modify the internal cardiac microenvironment to facilitate their immunomodulatory and differentiation abilities, which are essential to restore heart function. MSCs can be easily isolated from different sources, including bone marrow, adipose tissues, umbilical cord, and dental pulp. MSCs from various sources differ in their regenerative and therapeutic abilities for cardiovascular disorders. In this review, we will summarize the therapeutic potential of each MSC source for heart diseases and highlight the possible molecular mechanisms of each source to restore cardiac function. More >

SACHIN SINGH^a, MUKTI TYAGI^a,*, AJAY KUMAR TYAGI^a, PRAVEEN KUMAR KAICKER^a, LALIT VARSHNEY^b

Journal of Polymer Materials, Vol.36, No.4, pp. 305-321, 2019, DOI:10.32381/JPM.2019.36.04.2

Abstract Graphite is the most suitable material as dry lubricant. However, its application as a lubricant is limited with necessity of moisture vapors. Alternatively, polytetrafluoroethylene (PTFE) has an excellent lubrication property but does not have mechanical characteristics. The effect of gamma radiation doses on the lubrication behavior of graphite –PTFE (Inoflon A-408) system has been studied using (TR-TW-30L) tribotester with thrust washer attachment. Different compositions of graphite and PTFE were prepared and irradiated by gamma rays. Improved tribological properties of graphite –PTFE system showed by decrease in coefficient of friction and wear. SEM-EDX, XRD and contact angle analysis confirm fluorination of… More >

YAN WANG^A, LI-FANG ZHANG^A,B,C,*, XIAO-QI WANG^B

Journal of Polymer Materials, Vol.37, No.1-2, pp. 77-89, 2020, DOI:10.32381/JPM.2020.37.1-2.6

Abstract The effect of 18-crown-6 ether (18C6) on the anionic polymerization of ε-caprolactone (ε -CL) using potassium tert-butoxide (t-BuOK) as the initiator was studied. The experimental results showed that 18C6 in combination with t-BuOK exhibited high selectivity for ring opening relative to trans-esterification and improved control toward the ROP of ε-CL, producing poly(ε- caprolactone) (PCL) with much higher molecular weight and relatively narrow distribution compared to those using t-BuOK alone as the initiator.The influences of reaction conditions, such as monomer concentration, monomer/initiator molar ratio, and [18C6]/[t-BuOK] molar ratio, as well as reaction temperature and time on the polymerization have been examined… More >

BAOHAI PAN^1,2, JUNCHENG HUANG¹, LAI CHEN², FEI LIU^1,*, CHEN JING, HAINING NA^1,*, JIN ZHU¹

Journal of Polymer Materials, Vol.37, No.1-2, pp. 17-27, 2020, DOI:10.32381/JPM.2020.37.1-2.2

Abstract A switchable CO₂ /1,8-diazabicyclo[5.4.0]undec-7-ene (DBU)/dimethyl sulfoxide (DMSO) solvent system is applied to prepare corn cellulose film with controllable mechanical property. By use of the switchable CO₂ /DBU/DMSO system, a rather simple process concerning reacted dissolution and heated precipitation controlled by addition and releasing of CO₂ respectively, to prepare corn cellulose film, is formed. Results exhibit the degree of dissolution of corn cellulose is easily controlled just by adjusting the feeding amount of DBU in the switchable solvent system. Accordingly, some undissolved part of corn cellulose with relative high crystallinity can be appropriately retained to contribute to the improvement of mechanical… More >

ALOK K. SAHU^a, RAJSHREE VIJAYVARGIYA^a, R. M. SARVIYA^b

Journal of Polymer Materials, Vol.39, No.3-4, pp. 183-193, 2022, DOI:10.32381/JPM.2022.39.3-4.1

Abstract HDPE material is found to be best suited material for the manufacturing of floating bed structure for the solar photovoltaic (PV) system due to its light weight and excellent mechanical & chemical resistant properties. However, the major restriction in this regard is the limited engineering design and also the effect of UV radiations present in the natural environment that leads to the degradation of the plastic materials. Hence, in order to improve its UV stability carbon black is incorporated into it as UV resistant additive and hollow cubical floats of such HDPE/carbon black composite material has been manufactured by rotational… More >

Chun Mao¹, Ji He^1,*, Xuefeng Wen¹, Yangzhou Xiang², Jihong Feng¹, Yingge Shu¹

Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 487-502, 2024, DOI:10.32604/phyton.2024.048246

Abstract The contents of carbon (C), nitrogen (N), and phosphorus (P) in soil-microorganisms-plant significantly affect tea quality by altering the main quality components of tea, such as tea polyphenols, amino acids, and caffeine. However, few studies have quantified the effects of these factors on the main quality components of tea. The study aimed to explore the interactions of C, N, and P in soil-microorganisms-plants and the effects of these factors on the main quality components of tea by using the path analysis method. The results indicated that (1) The contents of C, N, and P in soil, microorganisms, and tea plants… More >

Lanying Chen^1,2, Qiumei Quan^3,*, Yunxiang Li³

Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 551-566, 2024, DOI:10.32604/phyton.2024.048103

Abstract Mediated by pollen flow, natural hybridization is deemed a crucial factor that propels speciation in floral plants. Despite the fact that the diversity of Epimedium species is concentrated mainly in Southwestern China, the potential impact of interspecific pollination on natural hybridization has yet to be empirically scrutinized. To explore this, we studied the flowering period and the visitors of flowers in three frequently overlapping Epimedium species at Jinchengshan National Forest Park, located in Nanchong, Sichuan Province. Additionally, we performed a series of pollination experiments to examine breeding systems and hybrid compatibility. Morphologically, Epimedium pubescens and Epimedium wushanense are clearly distinct… More >

Mai Alzamel^1,*, Hamza Ali Rizvi², Najwa Altwaijry¹, Isra Al-Turaiki¹

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4177-4204, 2024, DOI:10.32604/cmc.2024.048370

Abstract Scalability and information personal privacy are vital for training and deploying large-scale deep learning models. Federated learning trains models on exclusive information by aggregating weights from various devices and taking advantage of the device-agnostic environment of web browsers. Nevertheless, relying on a main central server for internet browser-based federated systems can prohibit scalability and interfere with the training process as a result of growing client numbers. Additionally, information relating to the training dataset can possibly be extracted from the distributed weights, potentially reducing the privacy of the local data used for training. In this research paper, we aim to investigate… More >