Muhammad Younis¹, Nudrat Aisha Akram^1,*, Arafat Abdel Hamed Abdel Latef^2,*, Muhammad Ashraf³

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2023.028801

Abstract To counteract the effects of drought stress, scientists have adopted several approaches including the use of different chemicals both inorganic and organic, which is contemplated as a highly efficient and cost-effective shot-gun approach. Ascorbic acid (AsA) is a potential organic substance, which widely occurs in plants, and is considered to be an effective antioxidant to counteract reactive oxygen species (ROS). Thus, a pot experiment was performed to assess the relative mitigating impacts of synthetic AsA and naturally occurring AsA in the form of lemon juice (LJ) and orange juice (OJ) on two cultivars of okra (Abelmoschus esculentus L.) namely Sabz… More >

Hongqiong Zhang^1,2,#, Xu Wang^3,#, Zhaojing Qian⁴, Buchun Si^1,4,*, Kai Jin⁵, Tengfei Wang⁵

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.028438

Abstract Hydrochar prepared with four typical biowastes, pine wood, food waste, digested sewage sludge, and Chlorella were applied for the promotion of anaerobic digestion. The gas production and substrate composition were analyzed associated with the hydrochar characteristics. The results suggested that Chlorella hydrochar (C-C) showed the highest cumulative yield of methane (approximately 345 mL) with high total organic carbon (TOC) removal efficiency and low volatile fatty acids (VAFs) concentration. Especially, food waste hydrochar (F-C) showed a poor effect on anaerobic digestion and aroused 1.4–1.6 g/L accumulation of VAFs, in which the toxic components may account for the low efficiency. The C-C… More >

De Li^1,#, Bengang Zhang^1,#, Yuan Tu¹, Guoming Xiao¹, Meifen Tian², Xiaoxue Xu¹, Xiao Zhong¹, Qiaoyan Zhang³, Zhigang Wu^1,*, Jiankun Liang^4,*

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.027895

Abstract Screw connection is a type most commonly applied to timber structures. As important commercial tree species in China, Masson pine and Chinese fir have the potential to prepare wood structures. In this study, the effects of the diameter of the self-tapping screw and the guiding bores on the nail holding performance on different sections of Masson pine and Chinese fir dimension lumbers were mainly explored. The results showed that: (1) The nail holding strength of the tangential section was the maximum, followed by that of the radial section, and that of the cross section was the minimum. (2) The nail… More >

Cheng Hu^1,2, Weiheng Xiang^1,3,*, Ping Chen^2,3, Yi Yang^4,5, Libo Zhou³, Jiufang Jiang⁵, Shunkai Li^2,4, Yang Ming¹, Qing Li³

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.027544

Abstract The aim of this study is to enhance the value and utilization of red mud generated in the Bayer process by preparing composite cement mortars. The effects of two different types of Bayer red mud with varying physical and chemical characteristics on the fluidity, mechanical strength, mineral composition, and microstructure of the composite cement mortar were systematically evaluated. The results showed that the optimal addition of red mud A was 10 wt%, while it was 20 wt% for red mud B. The mechanical properties of the composite cement mortar met the standards for P·O42.5 cement. Furthermore, the composite mortar with… More >

Chunhua Liu¹, Dongfang Zou¹, Qinqin Huang¹, Shang Li², Xia Zheng¹, Xingong Li^1,*

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.028111

Abstract The residual resources of ramie fiber-based textile products were used as raw materials. Ramie fiber felt (RF) was modified by NaClO₂ aqueous solution and then impregnated with water-based epoxy resin (WER). RF/WER transparent composite materials were prepared by lamination hot pressing process. The composite materials’color difference, transmittance, haze, density, water absorption, and mechanical properties were determined to assess the effects of NaClO₂ treatment and the number of ramie fiber layers on the properties of the prepared composites. The results showed significantly improved optical and mechanical properties of the RF/WER transparent composites after NaClO₂ treatment. With the increase of ramie fiber… More >

Zhijian Zhou¹, Jie Yan^1,*, Xinxiang Du¹, Qiulin Xu¹, Zijun Wu², Jinlan Yang³, Xitong Fang¹, Qiuling Zhong², Qiaoguang Li^1,*

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.027852

Abstract Iron-pillared bentonite (FB) was prepared by Fe(III) modified bentonite, and then the composites (FB-OS) were prepared by iron-pillared bentonite and oyster shell powder. The composites were characterized by FTIR, SEM, TGA, and EDS, and the phosphorus removal test was carried out. The results showed that FB-OS contained a large amount of CaO. Its structure was compact, but there were gaps in it. The maximum bending stress and compressive strength were 43.7 N and 0.927 MPa, respectively. The phosphorus removal test showed that the phosphorus removal rate of FB-OS was more than 90%, and measured the maximum adsorption capacity was 48.31… More >

B. Ramesh, Kuruva Lakshmanna^*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028944

Abstract Major chronic diseases such as Cardiovascular Disease (CVD), diabetes, and cancer impose a significant burden on people and healthcare systems around the globe. Recently, Deep Learning (DL) has shown great potential for the development of intelligent mobile Health (mHealth) interventions for chronic diseases that could revolutionize the delivery of health care anytime, anywhere. The aim of this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis, prognosis, management, and treatment of major chronic diseases and advance our understanding of the progress made in this rapidly developing field. Type 2… More >

Fei Li¹, Haci Mehmet Baskonus^2,*, S. Kumbinarasaiah³, G. Manohara³, Wei Gao⁴, Esin Ilhan⁵

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028069

Abstract This article considers three types of biological systems: the dengue fever disease model, the COVID-19 virus model, and the transmission of Tuberculosis model. The new technique of creating the integration matrix for the Bernoulli wavelets is applied. Also, the novel method proposed in this paper is called the Bernoulli wavelet collocation scheme (BWCM). All three models are in the form system of coupled ordinary differential equations without an exact solution. These systems are converted into a system of algebraic equations using the Bernoulli wavelet collocation scheme. The numerical wave distributions of these governing models are obtained by solving the algebraic… More >

Wangpeng He^1,*, Yue Zhou¹, Xiaoya Guo², Deshun Hu¹, Junjie Ye³

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.027896

Abstract In today’s world, smart electric vehicles are deeply integrated with smart energy, smart transportation and smart cities. In electric vehicles (EVs), owing to the harsh working conditions, mechanical parts are prone to fatigue damages, which endanger the driving safety of EVs. The practice has proved that the identification of periodic impact characteristics (PICs) can effectively indicate mechanical faults. This paper proposes a novel model-based approach for intelligent fault diagnosis of mechanical transmission train in EVs. The essential idea of this approach lies in the fusion of statistical information and model information from a dynamic process. In the algorithm, a novel… More >

Rongrong Ren^1,2, Luyang Su^1,2, Xinyu Meng^1,2, Jianfang Wang³, Meng Zhao^1,2,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.027310

Abstract With the development of big data and social computing, large-scale group decision making (LGDM) is now merging with social networks. Using social network analysis (SNA), this study proposes an LGDM consensus model that considers the trust relationship among decision makers (DMs). In the process of consensus measurement: the social network is constructed according to the social relationship among DMs, and the Louvain method is introduced to classify social networks to form subgroups. In this study, the weights of each decision maker and each subgroup are computed by comprehensive network weights and trust weights. In the process of consensus improvement: A… More >