Post-pandemic

大流行后
  • 文章类型: English Abstract
    本文介绍了“大流行后”(2022年-2023年上半年)俄罗斯人心理健康的实证社会医学和社会学研究。这项研究的目的是总结相应研究的结果。该评论涵盖了在RSCI中索引的国家科学期刊上的文章,以及由负责公众舆论分析的全俄罗斯研究组织以及联邦研究和教育组织进行的监测调查的结果。研究的选择标准包括2022年1月至2023年6月实施研究领域阶段;应用社会学调查技术;研究对象为俄罗斯联邦的全部人口或其受试者或单独的社会群体。它成立了,根据全俄罗斯和区域数据,在上述时期,俄罗斯居民的公共心理健康以波浪动力学为特征。2022年3月初和9月底焦虑水平的增加。抑郁症状患病率水平仍超过“大流行前”值。焦虑水平的增加在青年和妇女中更为典型。弱势群体也是与特种军事行动区接壤的领土的居民,战斗人员和乌克兰难民的家庭成员。在人口对心理精神病护理的法律需求条件下,实现了寻找俄罗斯公民心理安全替代工具的问题。
    The article presents review of empirical social medical and sociological studies of mental health of Russians in \"post-pandemic\" (2022 - first half of 2023). The purpose of the study is to generalize results of corresponding studies. The review covers the articles in national scientific journals indexed in the RSCI, the results of monitoring surveys carried out by both all-Russian research organizations handling analysis of public opinion and by Federal research and educational organizations. The criteria of selection of studies included the study field stage was implemented in January 2022 - June 2023; sociological survey technique was applied; the study object was whole population of the Russian Federation or its subject or a separate social group. it was established, on the basis of all-Russian and regional data, that in mentioned period public mental health of residents of Russia is characterized by wave dynamics. The increasing of anxiety level in beginning of March and in the end of September 2022. The level of depressive symptomatic prevalence still exceeded \"pre-pandemic\" values. The increased level of anxiety is more typical in the youth and women. The vulnerable groups are also residents of territories bordering on zone of special military operation, members of families of combatants and Ukraine refugees. In conditions of law demand of population for psychological psychiatric care the issue of searching alternative tools of psychological safety of Russian citizen is actualized.
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  • 文章类型: Journal Article
    最近隐喻技术的指数增长有助于重塑无数行业,尤其是数字医疗。这篇全面的综述批判性地研究了元可穿戴设备在沉浸式数字医疗保健方面的前景和未来应用。对引领可穿戴设备变态的关键技术和进步进行了分类,封装所有包含的扩展现实,比如虚拟现实,增强现实,混合现实,和其他触觉反馈系统。此外,他们在辅助保健(特别是康复)中部署的基础,医学和护理教育,和远程患者管理和治疗进行调查。将元可穿戴设备集成到医疗保健范式中的潜在好处是多方面的,包括改善患者预后,提高获得高质量护理的机会,和高标准的从业者指导。然而,这些技术并非没有其固有的挑战和未开发的机会,涵盖隐私保护,数据保护,和人工智能的创新。总之,还讨论了未来的研究轨迹和规避这些障碍的潜在进展,在大流行后时代,进一步加强了可穿戴设备在医疗基础设施中的整合。
    The recent exponential growth of metaverse technology has been instrumental in reshaping a myriad of sectors, not least digital healthcare. This comprehensive review critically examines the landscape and future applications of metaverse wearables toward immersive digital healthcare. The key technologies and advancements that have spearheaded the metamorphosis of metaverse wearables are categorized, encapsulating all-encompassed extended reality, such as virtual reality, augmented reality, mixed reality, and other haptic feedback systems. Moreover, the fundamentals of their deployment in assistive healthcare (especially for rehabilitation), medical and nursing education, and remote patient management and treatment are investigated. The potential benefits of integrating metaverse wearables into healthcare paradigms are multifold, encompassing improved patient prognosis, enhanced accessibility to high-quality care, and high standards of practitioner instruction. Nevertheless, these technologies are not without their inherent challenges and untapped opportunities, which span privacy protection, data safeguarding, and innovation in artificial intelligence. In summary, future research trajectories and potential advancements to circumvent these hurdles are also discussed, further augmenting the incorporation of metaverse wearables within healthcare infrastructures in the post-pandemic era.
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  • 文章类型: Systematic Review
    作为21世纪最流行的技术,人工智能(AI)和物联网(IoT)是最有效的范式,在大流行期间在改变农业产业方面发挥了至关重要的作用。人工智能和物联网的融合引发了最近对人工智能(AIoT)的兴趣。物联网系统为AI技术提供数据流,用于数据集成和解释以及自动图像分析和数据预测的性能。AIoT技术的采用通过解决众多挑战,显著改变传统农业场景,包括虫害管理和收获后管理问题。尽管AIoT是智慧农业的重要驱动力,仍然有一些障碍必须克服。在本文中,对AIoT进行了系统的文献综述,以突出当前的进展,其应用,和它的优势。AIoT概念,从物联网系统中的智能设备到人工智能技术的采用,正在讨论。基于数据库搜索过程,提出了有关AIoT主题的文章发表的增长趋势。最后,还讨论了在现代农业中采用AIoT技术所面临的挑战。
    As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked a recent wave of interest in artificial intelligence of things (AIoT). An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. The adoption of AIoT technology significantly transforms the traditional agriculture scenario by addressing numerous challenges, including pest management and post-harvest management issues. Although AIoT is an essential driving force for smart agriculture, there are still some barriers that must be overcome. In this paper, a systematic literature review of AIoT is presented to highlight the current progress, its applications, and its advantages. The AIoT concept, from smart devices in IoT systems to the adoption of AI techniques, is discussed. The increasing trend in article publication regarding to AIoT topics is presented based on a database search process. Lastly, the challenges to the adoption of AIoT technology in modern agriculture are also discussed.
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  • 文章类型: Journal Article
    食品配送服务是线上到线下(O2O)商务的最典型和最明显的例子。在COVID-19大流行期间,越来越多的消费者出于各种原因使用食品配送服务,使这种商业模式在世界范围内传播开来。在后大流行时代,提供送餐服务将成为餐馆的新常态。尽管越来越多的出版物关注本期的消费者行为,没有评论论文涉及当前的研究和行业趋势。因此,本文旨在回顾从2020年至今(2022年10月)发表的关于大流行期间消费者使用送餐服务的文献.进行了专题审查,包括从Scopus和WebofScience搜索的40篇文章。定量研究结果显示了当前的研究趋势,和主题分析形成了影响消费者行为的八个因素主题:(1)技术和功利因素,(2)与系统相关的属性,(3)情绪和享乐因素,(4)个体特征,(5)服务质量,(6)风险相关因素,(7)社会因素,和(8)与食物相关的属性。本文还强调了与COVID-19相关的影响,并提出了有希望的未来研究方向。研究结果为行业实践和未来研究的起点提供了见解。
    The food delivery service is the most typical and visible example of online-to-offline (O2O) commerce. More consumers are using food delivery services for various reasons during the COVID-19 pandemic, making this business model viral worldwide. In the post-pandemic era, offering food delivery services will become the new normal for restaurants. Although a growing number of publications have focused on consumer behavior in this issue, no review paper has addressed current research and industry trends. Thus, this paper aims to review the literature published from 2020 to the present (October 2022) on consumers\' use of food delivery services during the pandemic. A thematic review was conducted, with 40 articles searched from Scopus and Web of Science being included. Quantitative findings showed current research trends, and thematic analyses formed eight themes of factors influencing consumer behavior: (1) technical and utilitarian factors, (2) system-related attributes, (3) emotional and hedonic factors, (4) individual characteristics, (5) service quality, (6) risk-related factors, (7) social factors, and (8) food-related attributes. The paper also emphasizes COVID-19-related influences and suggests promising future research directions. The results offer insights into industry practices and starting points for future research.
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