JPM Editorial Office

Journal of Polymer Materials, Vol.41, No.3, pp. 205-205, 2024, DOI:10.32604/jpm.2024.058921 - 30 September 2024

Abstract This article has no abstract. More >

Santhanakrishnan Mamallan¹, Venkateshwaran Narayanan^1,*, Canungo Bhimarao Ragothaman²

Journal of Polymer Materials, Vol.41, No.3, pp. 105-116, 2024, DOI:10.32604/jpm.2024.056744 - 30 September 2024

Abstract Glass fabric/polymer composites are widely used in various industrial applications due to their lightweight, exceptional strength, and fatigue resistance. Graphene nanoplatelets, a recently developed type of carbon material, stand out as unique nanofillers due to their 2D quantum confinement and expansive surface area within a polymer matrix. These features make them more effective than traditional carbon nanofillers at enhancing a range of properties. In this study, 3-weight % of graphene nanoplatelets with epoxy resin were used for investigation by varying sonication durations (0, 20, 40, and 60 min) using an ultrasonic bath sonicator. The laminates More >

Anuraag Moturi, Dharmesh R. Chejara^*

Journal of Polymer Materials, Vol.41, No.3, pp. 179-190, 2024, DOI:10.32604/jpm.2024.055887 - 30 September 2024

Abstract A chitosan and guar protein isolate blend conjugate (Ch/GPI-Glu) based membrane has been designed and studied for its possible interaction with this biopolymer mixture. The designed conjugate chitosan/guar protein isolate blended membrane was investigated for its structural features using Fourier Transform Infrared Spectroscopy (FTIR), Thermal Gravimetric Analysis (TGA), X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM) analyses. IR Spectroscopic data suggested that chitosan and guar protein isolate contributed to a specific intermolecular interaction. The designed membrane was water-insoluble and it exhibited strong polymer–protein interaction. Further, the membrane was also found to have a smooth morphology More >

Bo Hwan Kim^1,#, Sheikh Mansoor^2,#, Gyung Deok Han³, Ji Eun Park⁴, Wook Kim^1,*, Yong Suk Chung^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2339-2347, 2024, DOI:10.32604/phyton.2024.056439 - 30 September 2024

Abstract Recognizing the variation of genetic resources is the first step in selection. One of the most important variations in grain crops is the uniformity of seed grain weight, which can be converted into seed size. However, it has been challenging since it needs high labor costs and time to measure it on a large scale. The current study used an image analysis technique to measure the grain seed area of about 100 seeds per accession with 64 germplasm of Tartary buckwheat (Fagopyrum tataricum) to study variation among and within them. To understand the nature of variation, More >

Jiayu Luo^1,#, Jianfeng Liu^1,#, Zuoxiang Sun¹, Pengpeng Shao¹, Danyang Wang², Jianzhong Yao³, Binzhou Li², Lijun Dong¹, Dandan Cao^1,4,*, Jianrong Wei^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2167-2188, 2024, DOI:10.32604/phyton.2024.052858 - 30 September 2024

Abstract Anoplophora glabripennis is one of the most devastating wood-boring beetles that attacks poplars. However, one poplar species, Populus deltoides, has strong resistance to Anoplophora glabripennis infestation, the underlying defense mechanisms against Anoplophora glabripennis are poorly understood. Secondary metabolites play a crucial role in plants to combat biological stress. Here, based on transcriptome and metabolome, we demonstrated that the mechanisms for responses to mechanical damage and insect infestation were different. The degree of reactions to adult groove production, larval incubation, and larval frass production was not identical. In addition, the potential genes with insect resistance activity were identified. Predominant differentially More >

NOELIA L. D´ELĺA^1,2, A. NOEL GRAVINA^1,2, LUCIANO A. BENEDINI^2,3,*, PAULA V. MESSINA^1,2

BIOCELL, Vol.48, No.10, pp. 1401-1403, 2024, DOI:10.32604/biocell.2024.055512 - 02 October 2024

Abstract This work shows relevant interactions between cells and drug-delivery systems based on vesicles crucial for therapeutic activity. This interplay drives strategies for the design of new drug-carry. Among the described systems are found liposomes, extracellular vesicles, and hybrid systems. The text details their properties, advantages, and constraints, and eventually, a perspective about the future of these formulations is proposed. More >

Haris Alam Zuberi¹, Madan Lal¹, Shivangi Verma¹, Nurul Amira Zainal^2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1137-1163, 2024, DOI:10.32604/cmes.2024.055493 - 27 September 2024

Abstract Motivated by the widespread applications of nanofluids, a nanofluid model is proposed which focuses on uniform magnetohydrodynamic (MHD) boundary layer flow over a non-linear stretching sheet, incorporating the Casson model for blood-based nanofluid while accounting for viscous and Ohmic dissipation effects under the cases of Constant Surface Temperature (CST) and Prescribed Surface Temperature (PST). The study employs a two-phase model for the nanofluid, coupled with thermophoresis and Brownian motion, to analyze the effects of key fluid parameters such as thermophoresis, Brownian motion, slip velocity, Schmidt number, Eckert number, magnetic parameter, and non-linear stretching parameter on… More > Graphic Abstract

Feyza Altunbey Özbay¹, Erdal Özbay², Farhad Soleimanian Gharehchopogh^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1067-1110, 2024, DOI:10.32604/cmes.2024.054334 - 27 September 2024

Abstract Artificial rabbits optimization (ARO) is a recently proposed biology-based optimization algorithm inspired by the detour foraging and random hiding behavior of rabbits in nature. However, for solving optimization problems, the ARO algorithm shows slow convergence speed and can fall into local minima. To overcome these drawbacks, this paper proposes chaotic opposition-based learning ARO (COARO), an improved version of the ARO algorithm that incorporates opposition-based learning (OBL) and chaotic local search (CLS) techniques. By adding OBL to ARO, the convergence speed of the algorithm increases and it explores the search space better. Chaotic maps in CLS… More > Graphic Abstract

Xinchang Zhang¹, Xiaokang Pan², Rongjie Zhu³, Runda Guan², Zhongfeng Qiu⁴, Biao Song^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1827-1846, 2024, DOI:10.32604/cmes.2024.054298 - 27 September 2024

Abstract Identification of ocean eddies from a large amount of ocean data provided by satellite measurements and numerical simulations is crucial, while the academia has invented many traditional physical methods with accurate detection capability, but their detection computational efficiency is low. In recent years, with the increasing application of deep learning in ocean feature detection, many deep learning-based eddy detection models have been developed for more effective eddy detection from ocean data. But it is difficult for them to precisely fit some physical features implicit in traditional methods, leading to inaccurate identification of ocean eddies. In… More >

Rajan Aravind^1,2, Sundararajan Natarajan¹, Krishnankutty Jayakumar², Ratna Kumar Annabattula^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 997-1032, 2024, DOI:10.32604/cmes.2024.053047 - 27 September 2024

Abstract Understanding the probabilistic nature of brittle materials due to inherent dispersions in their mechanical properties is important to assess their reliability and safety for sensitive engineering applications. This is all the more important when elements composed of brittle materials are exposed to dynamic environments, resulting in catastrophic fatigue failures. The authors propose the application of a non-intrusive polynomial chaos expansion method for probabilistic studies on brittle materials undergoing fatigue fracture when geometrical parameters and material properties are random independent variables. Understanding the probabilistic nature of fatigue fracture in brittle materials is crucial for ensuring the… More >