HULYA SEMA KOKER¹, HÜLYA YAVUZ ERSAN¹, AYSE AYTAC^2,3,*

Journal of Polymer Materials, Vol.37, No.3-4, pp. 165-177, 2020, DOI:10.32381/JPM.2020.37.3-4.4

Abstract Chitosan (CH) and low-density polyethylene (PE) blend films were produced by a twin-screw extruder and heat press with different plasticizers glycerol (GLY), sorbitol (SOR) and polyethylene glycol (PEG). The tensile strength decreased and elongation at break increased with the incorporation of plasticizer for blends with 10 wt% of CH. The thermal stability of the films was slightly higher for films containing GLY and PEG as compared to SOR. Contact angles reduced from CH-PE film to the films containing PEG, SOR and GLY in decreasing order, respectively. Fourier transform infrared spectroscopy revealed no interactions between CH and PE in CH-PE film… More >

İBRAHIM KARTERI^a,b,*, MUSTAFA ÖZYEŞILDAĞ^b

Journal of Polymer Materials, Vol.38, No.1-2, pp. 167-177, 2021, DOI:10.32381/JPM.2021.38.1-2.13

Abstract This study aims to provide a comprehensive account of chemically reduced graphene oxide (RGO) and decabromodiphenyl ethane (DBDPE) filled acrylonitrile-butadiene-styrene (ABS) multifunctional filaments for fused deposition modeling (FDM) applications. ABS/RGO with DBDPE nanocomposites (ABS-GDM) were fabricated by single-screw extrusion at a diameter of 1.75 mm. The proportion of RGO and DBDPE for the ABS-GDM filaments was set to 0.75 wt%. The properties of the ABS-GDM were determined using optical, mechanical, thermal, and morphological characteristics (using scanning electron microscopy). A three-dimensional (3D) model was successfully printed using the developed ABS-GDM filaments for FDM 3D printing. These ABS-GDM have the potential to… More >

RAID BANAT^1,*, MANAL AL-RAWASHDEH¹, HEBA ALKHLAIFAT¹

Journal of Polymer Materials, Vol.38, No.1-2, pp. 137-151, 2021, DOI:10.32381/JPM.2021.38.1-2.11

Abstract Composite of oil Shale ash (OSA) filler and high density polyethylene (HDPE) matrix was formulated and studied. OSA mainly composed of Ca, Si, and Fe most of which in oxide forms. OSA-HDPE composite with 0, 5, 10, 15, 20, and 25 wt. % OSA were produced using extrusion and hot press. Mechanical, morphological, and water uptake properties of the composite are discussed herein. While the tensile stress at yield, 47 MPa, restored its value close to the neat HDPE, an increase in the mean values of the tensile stress at rapture from 19 to 33 MPa, the tensile modulus from… 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 >

Jean-Pierre Chery¹, Marie Gradeler¹, Vincent Bonnal^2,3,4

Revue Internationale de Géomatique, Vol.31, No.2, pp. 355-376, 2022, DOI:10.3166/RIG.31.355-376© 2022

Abstract The need to enhance and share generic and original information from different research projects, led to the design of a dedicated geoweb, called NAMO. Its design uses open and free functionalities that demonstrate their flexibility in an agile and iterative approach. It is in particular the development of two dimensions of valorization and positioning in geoweb 2.0 that is highlighted: narrative mapping and systemic modeling. The use of geographic information, in particular in co-construction and open science approaches, can thus be better equipped.

RÉSUMÉ.
Les besoins de valoriser et de partager des informations génériques et originales de différents projets… More >

Sherly Alphonse^*, Harshit Verma

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2067-2086, 2024, DOI:10.32604/cmc.2024.046070

Abstract Although lots of research has been done in recognizing facial expressions, there is still a need to increase the accuracy of facial expression recognition, particularly under uncontrolled situations. The use of Local Directional Patterns (LDP), which has good characteristics for emotion detection has yielded encouraging results. An innovative end-to-end learnable High Response-based Local Directional Pattern (HR-LDP) network for facial emotion recognition is implemented by employing fixed convolutional filters in the proposed work. By combining learnable convolutional layers with fixed-parameter HR-LDP layers made up of eight Kirsch filters and derivable simulated gate functions, this network considerably minimizes the number of network… More >

Sanxiu Jiao¹, Lecai Cai^2,*, Jintao Meng³, Yue Zhao³, Kui Cheng²

Computer Systems Science and Engineering, Vol.48, No.1, pp. 247-265, 2024, DOI:10.32604/csse.2023.040194

Abstract Federated learning is a distributed machine learning framework that solves data security and data island problems faced by artificial intelligence. However, federated learning frameworks are not always secure, and attackers can attack customer privacy information by analyzing parameters in the training process of federated learning models. To solve the problems of data security and availability during federated learning training, this paper proposes an Efficient Differential Privacy Federated Learning Algorithm based on early stopping mechanism (Efficient DP-FL). This method inherits the advantages of differential privacy and federated learning and improves the performance of model training while protecting the parameter information uploaded… More >

JIWEI SUN^1,2,#, LIANG XU^1,#, YESEN ZHANG², HAORAN LI¹, JIE FENG², XUEFENG LU², JUN DONG^1,*

BIOCELL, Vol.47, No.12, pp. 2721-2733, 2023, DOI:10.32604/biocell.2023.043869

Abstract Objective: This investigation aimed to unveil new prospective diagnosis-related biomarkers together with treatment targets against glioblastoma. Methods: The expression levels of long non-coding RNA (lncRNA) DPP10-AS1 were assessed using real-time quantitative polymerase chain reaction (RT-qPCR) within both the patient tissue specimens and glioblastoma cell lines. The relationship between lncRNA DPP10-AS1 expression in glioblastoma and patient prognosis was investigated. Cell Counting Kit-8 (CCK-8), transwell, and clonogenic experiments were utilized to assess tumor cells’ proliferation, invasiveness, and migratory potentials after lncRNA DPP10-AS1 expression was up or down-regulated. Using an online bioinformatics prediction tool, the intracellular localization of lncRNA DPP10-AS1 and its target… More >

Zhengyong Wang¹, Jianhua Zhang², Guoliang Su³, Peixing Yang⁴, Xiantao Fan⁴, Shuzhan Bai¹, Ke Sun^1,*, Guihua Wang^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 193-204, 2024, DOI:10.32604/fdmp.2023.030561

Abstract A Diesel Particulate Filter (DPF) is a critical device for diesel engine exhaust products treatment. When using active-regeneration purification methods, on the one hand, a spatially irregular gas flow can produce relatively high local temperatures, potentially resulting in damage to the carrier; On the other hand, the internal temperature field can also undergo significant changes contributing to increase this risk. This study explores the gas flow uniformity in a DPF carrier and the related temperature behavior under drop-to-idle (DTI) condition by means of bench tests. It is shown that the considered silicon carbide carrier exhibits good flow uniformity, with a… More >

Yixia Chen^1,2, Mingwei Lin^1,2,*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 845-866, 2023, DOI:10.32604/cmc.2023.040970

Abstract The consensus scheme is an essential component in the real blockchain environment. The Delegated Proof of Stake (DPoS) is a competitive consensus scheme that can decrease energy costs, promote decentralization, and increase efficiency, respectively. However, how to study the knowledge representation of the collective voting information and then select delegates is a new open problem. To ensure the fairness and effectiveness of transactions in the blockchain, in this paper, we propose a novel fine-grained knowledge representation method, which improves the DPoS scheme based on the linguistic term set (LTS) and proportional hesitant fuzzy linguistic term set (PHFLTS). To this end,… More >