The textile and clothing industry is a significant global sector due to its economic and social contributions. However, it is one of the most polluting industries. There has been a significant uptake of research on circular economy implementation to reduce its environmental impacts. Nevertheless, there is a critical gap in reviewing how the research field is evolving and what the core focus and underlying assumptions of the existing research are. This paper utilises bibliometrics, content analysis, and problematisation to comprehensively examine the state of research. Analysing 132 primary documents dating from January 2014 to April 2023, this study reveals that sustainability-oriented innovation and transition challenges are the core focus of existing research. Technology-oriented circularity and its positive impact on sustainability is the in-house assumption that almost all studies are founded on. Besides unpacking the risk of such assumptions, this study provides tangible sug gestions for future research on circular economy disruption, its rebound effect, and sustainability-oriented innovation. Although the time lag and language biases may have impacted the representation of current research trends, findings from this study can facilitate academic research and industry practice in implementing circular economy practices for a more sustainable future.
抽象甲基(MET)是一种广泛使用的农药,具有许多健康有害影响。在螺旋藻(SP)中发现的许多生物活性和抗氧化剂成分。这项研究的目标是估计SP在大鼠肾脏中MET诱导的生化和组织学改变的改善作用。大鼠分为四组; I组作为对照组,II组是经过SP处理的大鼠,该大鼠口服了SP(500 mg/kg b.wt)三周,III组的大鼠是接受了三周口服的大鼠(LD 50的1/20),IV组为三个星期,IV组是接受Met和SP的大鼠,与先前的剂量相同三周。三周后,所有组的大鼠都被加权并处死。Sera samples were used for biochemical analysis of urea, creatinine and uric acid concentrations and kidney tissues were used for malondialdehyde (MDA), interlekine-6 (IL-6), glutathione (GSH) concentrations and catalase (CAT) activity estimations, besides histological examination and immunohistochemical investigation of tumor necrosis factor-α (TNF-α)。总结的结果表明,SP和MED的诱导肾功能障碍和共同治疗导致尿素,肌酐,尿酸,MDA,IL-6,IL-6浓度,GSH浓度和CAT活性的显着升高以及组织学和较低的组织学和免疫组织化学变化的显着升高,因此SP含量较高的抗氧化和透视剂的SP含量较高。
人工智能应用在农业中的研究 Padma Nilesh Mishra 博士 印度孟买 MCA 塔库尔管理研究、职业发展与研究学院(TIMSCDR)助理教授 通讯作者电子邮件:mishrapadma1988@gmail.com Pinky Gerala 博士 印度孟买 MCA 塔库尔管理研究、职业发展与研究学院(TIMSCDR)助理教授 电子邮件:dr.pinkyg5@gmail.com Shirshendu Maitra 印度孟买 MCA 塔库尔管理研究、职业发展与研究学院(TIMSCDR)助理教授 电子邮件:slm2007@gmail.com 摘要 --- 农业领域的自动化普及是全球关注的关键问题和新兴问题。人口仍在大幅增长,此外,随着人口增长,对粮食和就业的需求也在增长。农民抛弃的传统方法不足以满足这些需求。因此,创新的自动化方法仍然存在。这些创新方法满足了粮食需求,也为当今人工智能(AI)的数十亿人提供了服务前景。本文对人工智能在土壤管理、作物管理、杂草病害中的应用进行了评估。通过高度关注发现故障,找出原因并产生最佳结果,人工智能在报告作物病害方面发挥了巨大作用。因此,本文简要概述了人工智能在农学中的应用,以及现有的农学方法,并重点介绍了现有的用于发现作物病害的众多方法。卷积神经网络分类技术比传统方法具有更高的精度。关键词---人工智能、深度学习、分类机制、作物病害检测。