Xiaoyong Wang^*

Journal of Renewable Materials, Vol.10, No.9, pp. 2431-2450, 2022, DOI:10.32604/jrm.2022.020829

Abstract Metakaolin is a highly reactive pozzolanic material that is widely utilized for enhancing the performance of concrete. This study offers a framework for the mixture design of sustainable metakaolin-modified concrete with low CO₂ emissions and low costs. Different design strengths after 28 days are first formulated, with values such as 30, 40, 50, and 60 MPa. A genetic algorithm is then used to determine the optimal mixtures. Minimized CO₂ and cost are set as the aims of the genetic algorithm. The strength of the concrete, its workability (slump), and carbonation service life with climate change are set as constraints of the… More >

Wenzheng Yu¹, Aodi Fu¹, Li Shao², Haitao Liu², Xin Yao^1,*, Tianliang Chen², Hanxiaoya Zhang³

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 363-379, 2022, DOI:10.32604/cmc.2022.027009

Abstract This paper mainly was based on the average temperature, precipitation, humidity, and wind direction of Gangcha county from 1960 to 2013. By using wavelet analysis and Mann-Kendall (M-K) mutation analysis, specifically analyzed the climate change characteristics in the lake basin area of Gangcha county. The result showed that the climatic change in the lake basin area of Gangcha county is noticeable. The average temperature, average minimum temperature, average maximum temperature, and evaporation showed an increasing trend. But the evaporation in the study area was higher than precipitation. The average relative humidity showed a decreasing trend. And the sunshine and the… More >

Jintao Cui^1,2,*, Jihui Ding³, Sheng Deng⁴, Guangcheng Shao³, Weiguang Wang^1,2, Xiaojun Wang⁵, Yesilekin Nebi⁶

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6107-6118, 2022, DOI:10.32604/cmc.2022.027611

Abstract Climate change has inevitably had a negative impact on agricultural production and food security. Crop breeding improvement is an efficient option to adapt to future climate and increase grain production. To study the potential to provide valuable advice for breeding under climate change condition, the crop growth model was used as basis to investigate, the effects of the cultivar genotype parameters of the crop estimation through resource and environment synthesis-wheat (CERES-Wheat) model on yield under different climate scenarios. In this study, solar radiation had a positive effect on the yield of winter wheat, while the effects of daily temperature change… More >

Misbah Naz¹, Rubab Shabbir^2,17, Krishan K. Verma³, Anshu Rastogi⁴, Vishnu D. Rajput⁵, Talha Javed^2,6, Muhammad Ammar Raza⁷, Kainat Asif⁸, Muhammad Aamir Iqbal⁹, Muhammad Imran¹⁰, Mohammad Sohidul Islam¹¹, Khalid Rehman Hakeem^12,13,*, Mehmet Firat Baran¹⁴, Ayman EL Sabagh^15,16,*

Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 915-927, 2022, DOI:10.32604/phyton.2022.018688

Abstract

Under changing climate, trace elements like selenium (Se) have emerged as vital constituent of agro-ecosystems enabling crop plants to off-set the adverse effects of suboptimal growth conditions. The available form of selenium is important for boosting its bioavailability to crop plants having varied agro-botanical traits and root architectural systems. As compared to selenite, the selenate has a weaker soil bonding, higher absorption in the soil solution which results in a comparatively absorption by plant roots. Various factors including dry climate, high pH, optimal ambient air temperature, less accumulation of water, and low concentration of organic matter in the soil tend… More >

Mohammad Saidur Rhaman^1,*, Tahjib-Ul-Arif², Mohammad Golam Kibria³, Anamul Hoque³

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 695-711, 2022, DOI:10.32604/phyton.2022.018898

Abstract Socioeconomic development, adaptive capacity of the population, and demographic conditions across the states of South Asia make it more vulnerable to climate change. South Asia is daily going to be more vulnerable to climate change and climatic variability. This region is facing multiple challenges in terms of climate change, dilapidation of ecosystems, and food insecurity. Climate is the primary determining factor for agricultural output, which unswervingly influences food production across the globe. South Asia is mainly an agricultural foundation based region and thus the economy of these regions directly depends on agriculture and agricultural production. Due to the extensive dependence… More >

José Carmen Soto-Correa¹, Abraham Saldaña-Vega¹, Víctor Hugo Cambrón-Sandoval¹, Laura Concostrina-Zubiri², Mariela Gómez-Romero^3,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 827-840, 2022, DOI:10.32604/phyton.2022.017929

Abstract Lichens are symbiotic organisms that comprise a fungus and a photosynthetic partner wich are recognized as a good indicator of climate change. However, our understanding of how aridity affects the diversity of saxicolous lichens in drylands is still limited. To evaluate the relationship between saxicolous lichen diversity and aridity in a central México dryland, a geographical transect was established of 100 km to build an aridity gradient in the semiarid zone of the State of Querétaro, Mexico, comprising ten sampling sites with a 10 km separation. Species richness, abundance and diversity of soil lichen species were recorded using two sampling methods: the… More >

Mohd Anul Haq^*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2363-2381, 2022, DOI:10.32604/cmc.2022.023059

Abstract Water received in rainfall is a crucial natural resource for agriculture, the hydrological cycle, and municipal purposes. The changing rainfall pattern is an essential aspect of assessing the impact of climate change on water resources planning and management. Climate change affected the entire world, specifically India’s fragile Himalayan mountain region, which has high significance due to being a climatic indicator. The water coming from Himalayan rivers is essential for 1.4 billion people living downstream. Earlier studies either modeled temperature or rainfall for the Himalayan area; however, the combined influence of both in a long-term analysis was not performed utilizing Deep… More >

Maatouk Khoukhi^*, Omar Al Khatib

Energy Engineering, Vol.118, No.4, pp. 875-909, 2021, DOI:10.32604/EE.2021.015835

Abstract This paper reviews the principle and application of the thermally activated desiccant cooling systems with their capability to perform efficiently in hot-humid climates. The paper first introduces the continuous increase of thermal comfort required in building and their relation with the consumption of conventional energy sources. The importance of desiccant cooling technology and its applications has been introduced as well. The energy and environmental issues with the conventional energy supply and the demand with the environmental problems and conditions mainly related to indoor air quality have been also discussed in the second chapter of this paper. The third part of… More >

SUSANA PUNTARULO^1,2, PAULA MARIELA GONZÁLEZ^1,2,*

BIOCELL, Vol.45, No.4, pp. 813-821, 2021, DOI:10.32604/biocell.2021.015360

Abstract Environmental climate conditions could lead to an increasing global occurrence of microorganism blooms that synthesize toxins in the aquatic environments. These blooms could result in significantly toxic events. Responses of photosynthetic organisms to adverse environmental conditions implicate reactive oxygen species generation; but, due to the presence of a varied cellular antioxidant defense system and complex signaling networks, this oxidative stress could act as an important factor in the environmental adaptive processes. The objective of this review was to assess how some biotoxins are implicated in the generation of oxidative and nitrosative metabolic changes, not only in biotoxin-producing organisms but also… 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

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 saturation. The permanent changes in… More >