Svetla P. Gateva^1,*, Gabriele Jovtchev¹, Tsveta V. Angelova¹, Tzvetana P. Nonova², Nikolay Tyutyundzhiev³, Elena G. Geleva², Kostadin Katrandzhiev¹, Nina A. Nikolova², Dimitar Dimitrov⁴, Christo V. Angelov²

Phyton-International Journal of Experimental Botany, Vol.91, No.2, pp. 293-313, 2022, DOI:10.32604/phyton.2022.016397 - 26 September 2021

Abstract Plants in natural ecosystems are exposed to a combination of UV radiation, ionizing radiation (IR) and other abiotic factors. These factors change with the altitude. We investigated DNA alterations of some wild plants of different plant families in natural ecosystems at three altitudes in Rila Mountain, Bulgaria (1500, 1782, and 2925 m above sea level (a.s.l.) exposed to UV radiation, IR and other abiotic stresses, to assess the tolerance of plant species to the changing environmental conditions in three successive growth seasons. For this purpose, physicochemical, cytogenetic, and molecular methods were applied. DNA damage was assessed… More >

RAJKUMAR SINGH RAWAT^1,2, MEENU TALWAR^1,*, RAJENDRA KUMAR DIWAN², AJAY KUMAR TYAGI¹

Journal of Polymer Materials, Vol.38, No.3-4, pp. 281-294, 2021, DOI:10.32381/JPM.2021.38.3-4.9

Abstract In the present paper,boron based diluent was synthesized and incorporated in to a Ultraviolet (UV) radiation curable epoxy coating composition comprising of phosphorus based initiator (Trimethylbenzoyl diphenyl phosphine oxide) for enhancing its flame retardant property. The boron based diluent was synthesized by thermal polymerization technique. The presence of boron and phosphorus on the coating surface was confirmed by Energy Dispersive X-Ray (EDX) and X-ray photoelectron spectroscopy (XPS) techniques and functionality was determination by Fourier Transform Infra-Red (FTIR) and proton/boron NMR spectroscopy technique. The flame retardency property of the coating composition was confirmed by determining limiting More >

Bakhtawar Aslam¹, Ziyad Awadh Alrowaili², Bushra Khaliq¹, Jaweria Manzoor¹, Saira Raqeeb¹, Fahad Ahmad^3,*

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2159-2178, 2021, DOI:10.32604/cmc.2021.015922 - 13 April 2021

Abstract The concept of classification through deep learning is to build a model that skillfully separates closely-related images dataset into different classes because of diminutive but continuous variations that took place in physical systems over time and effect substantially. This study has made ozone depletion identification through classification using Faster Region-Based Convolutional Neural Network (F-RCNN). The main advantage of F-RCNN is to accumulate the bounding boxes on images to differentiate the depleted and non-depleted regions. Furthermore, image classification’s primary goal is to accurately predict each minutely varied case’s targeted classes in the dataset based on ozone… More >

Mayte M. Quispe^1,*, Olivia V. López¹, Marcelo A. Villar^1,2

Journal of Renewable Materials, Vol.7, No.4, pp. 383-391, 2019, DOI:10.32604/jrm.2019.04276

Abstract Among biopolymers, thermoplastic starch (TPS) is a good candidate to obtain biomaterials because of its natural origin, biodegradable character, and processability. Exposure to ultraviolet (UV) radiation causes significant degradation of starch-based materials, inducing photooxidative reactions which result in breaking of polymer chains, production of free radical, and reduction of molar mass. These changes produce a deterioration of TPS mechanical properties, leading to useless materials after an unpredictable time. In this work, changes induced on TPS by UV radiation, analyzing structural properties and mechanical behavior, are studied. TPS was obtained through thermo-mechanical processing of native corn… More >