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  • Open Access

    REVIEW

    Climate Change and Its Adverse Impacts on Plant Growth in South Asia: Current Status and Upcoming Challenges

    Mohammad Saidur Rhaman1,*, 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 - 09 December 2021

    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.… More >

  • Open Access

    REVIEW

    Potential Economic Value of Chitin and Its Derivatives as Major Biomaterials of Seafood Waste, with Particular Reference to Southeast Asia

    Hsiao Wei Tan1, Zhi Yin Joan Lim2, Nur Airina Muhamad3, Fong Fong Liew4,*

    Journal of Renewable Materials, Vol.10, No.4, pp. 909-938, 2022, DOI:10.32604/jrm.2022.018183 - 02 November 2021

    Abstract With a growing population, changes in consumerism behavior and trends in consumption in Indo-Pacific Asia, our seafood processing and consumption practices produce a large volume of waste products. There are several advantages in regulating and sustaining shellfish processing industries. The major advantage of waste management is that it leads to better conservation of natural resources in the long run. Shrimp shell waste contains useful biomaterials, which are still untapped due to inadequate waste disposal and solid waste management. Chitin, the major component of shell waste, can be extracted either chemically or biologically. The chemical extraction More > Graphic Abstract

    Potential Economic Value of Chitin and Its Derivatives as Major Biomaterials of Seafood Waste, with Particular Reference to Southeast Asia

  • Open Access

    REVIEW

    The Potential Toxic Side Effects of Flavonoids

    ZHIMEI TANG, QIANG ZHANG*

    BIOCELL, Vol.46, No.2, pp. 357-366, 2022, DOI:10.32604/biocell.2022.015958 - 20 October 2021

    Abstract Flavonoids are a class of phytochemical molecules abundant in many plants, fruits, vegetables, and leaves. Flavonoids possess a series of significant biological activities, including anticancer, antioxidant, antiviral, and antiinflammatory properties. They become an important source of dietary supplements and natural health products. Though many studies confirmed the safety of flavonoids, the potential toxicity of flavonoids is still a remarkable field of research to be explored. The enthusiasm for flavonoids expressed by the public has sometimes overlooked their toxicity and also consumed the flavonoids exceeding the body requirements. The current review focused on the potential toxicity… More >

  • Open Access

    ARTICLE

    Deterministic and Stochastic Fractional-Order Hastings-Powell Food Chain Model

    Moustafa El-Shahed1,*, Asmaa M. Al-Dububan2

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2277-2296, 2022, DOI:10.32604/cmc.2022.019314 - 27 September 2021

    Abstract In this paper, a deterministic and stochastic fractional-order model of the tri-trophic food chain model incorporating harvesting is proposed and analysed. The interaction between prey, middle predator and top predator population is investigated. In order to clarify the characteristics of the proposed model, the analysis of existence, uniqueness, non-negativity and boundedness of the solutions of the proposed model are examined. Some sufficient conditions that ensure the local and global stability of equilibrium points are obtained. By using stability analysis of the fractional-order system, it is proved that if the basic reproduction number , the predator More >

  • Open Access

    ARTICLE

    Interleukin-17A serum levels in young patients with atopic dermatitis and food allergy

    Shereen A. Baioumy1, Dina E. Sallam2, Shaimaa A. Abdalgeleel3, Shaimaa H. Fouad4, Ahmed S. Khedr5, Sara I. Taha6

    European Cytokine Network, Vol.32, No.3, pp. 55-63, 2021, DOI:10.1684/ecn.2021.0470

    Abstract Background: Atopic dermatitis (AD) is a common skin disorder accompanied by skin barrier disruption. Patients with AD are commonly affected by food allergy. Objectives: The present case–control study aimed to assess interleukin-17A (IL-17A) serum levels in children with AD and food allergies and to determine whether increased serum levels of this inflammatory cytokine correlate with disease severity. Methods: Healthy control subjects and patients were tested for food allergen reactivity by skin prick test and specific, as well as total, immunoglobulin E (IgE) analysis. IL-17A serum levels were measured by enzyme-linked immunosorbent assay technique. Results: Patients… More >

  • Open Access

    ARTICLE

    Food Insecurity and Depressive Symptoms in Adolescents Aged 12–15 Years from Low- and Middle-Income Countries

    Meng Wang*

    International Journal of Mental Health Promotion, Vol.23, No.2, pp. 177-187, 2021, DOI:10.32604/IJMHP.2021.016466 - 30 April 2021

    Abstract Purpose: Little is known about the role of food insecurity (FIS) on depressive symptoms among adolescents. Thus, this study aimed to explore the association between FIS and depressive symptoms among adolescents aged 12–15 years from low- and middle-income countries across the world. Methods: Data from the Global school-based Student Health Survey were analyzed in 51,702 adolescents [mean (SD) age 13.8 (1.0) years; 49.3% girls). Self-reported measures assessed depressive symptoms during the past 12 months, and food insecurity. Participants reporting yes for depressive symptoms. FIS was categorized into five levels, including ‘never’, ‘rarely’, ‘sometimes’, ‘most of the… More >

  • Open Access

    ARTICLE

    Conceptual Design and Selection of Natural Fibre Reinforced Biopolymer Composite (NFBC) Takeout Food Container

    H. N. Salwa1, S. M. Sapuan1,2,*, M. T. Mastura3, M. Y. M. Zuhri2

    Journal of Renewable Materials, Vol.9, No.4, pp. 803-827, 2021, DOI:10.32604/jrm.2021.013977 - 01 February 2021

    Abstract Biopolymer composite has gained huge attention for its beneficial properties such as biodegradable and less impact to the environment. This consequently would diminish the dependency on the petroleum-based polymer. Abundance of studies have been done on the development and characterization of biopolymer composite materials for food packaging application, but work on the conceptual design of biopolymer composite packaging product is hardly found. Using the Kano Model, Quality Function Deployment for Environment (QFDE), morphological map, and Analytic Hierarchy Method (AHP) framework combination, this paper presents the conceptual design of a natural fibre reinforced biopolymer composites take-out More >

  • Open Access

    ARTICLE

    Industrial Food Quality Analysis Using New k-Nearest-Neighbour methods

    Omar Fetitah1, Ibrahim M. Almanjahie2,3, Mohammed Kadi Attouch1,*, Salah Khardani4

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2681-2694, 2021, DOI:10.32604/cmc.2021.015469 - 05 February 2021

    Abstract The problem of predicting continuous scalar outcomes from functional predictors has received high levels of interest in recent years in many fields, especially in the food industry. The k-nearest neighbor (k-NN) method of Near-Infrared Reflectance (NIR) analysis is practical, relatively easy to implement, and becoming one of the most popular methods for conducting food quality based on NIR data. The k-NN is often named k nearest neighbor classifier when it is used for classifying categorical variables, while it is called k-nearest neighbor regression when it is applied for predicting noncategorical variables. The objective of this paper is to… More >

  • Open Access

    ARTICLE

    Real-Time Anomaly Detection in Packaged Food X-Ray Images Using Supervised Learning

    Kangjik Kim1, Hyunbin Kim1, Junchul Chun1, Mingoo Kang2, Min Hong3,*, Byungseok Min4

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2547-2568, 2021, DOI:10.32604/cmc.2021.014642 - 05 February 2021

    Abstract Physical contamination of food occurs when it comes into contact with foreign objects. Foreign objects can be introduced to food at any time during food delivery and packaging and can cause serious concerns such as broken teeth or choking. Therefore, a preventive method that can detect and remove foreign objects in advance is required. Several studies have attempted to detect defective products using deep learning networks. Because it is difficult to obtain foreign object-containing food data from industry, most studies on industrial anomaly detection have used unsupervised learning methods. This paper proposes a new method… More >

  • Open Access

    ARTICLE

    Stability and Bifurcation of a Prey-Predator System with Additional Food and Two Discrete Delays

    Ankit Kumar, Balram Dubey*

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 505-547, 2021, DOI:10.32604/cmes.2021.013206 - 21 January 2021

    Abstract In this paper, the impact of additional food and two discrete delays on the dynamics of a prey-predator model is investigated. The interaction between prey and predator is considered as Holling Type-II functional response. The additional food is provided to the predator to reduce its dependency on the prey. One delay is the gestation delay in predator while the other delay is the delay in supplying the additional food to predators. The positivity, boundedness and persistence of the solutions of the system are studied to show the system as biologically well-behaved. The existence of steady… More >

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