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简介：AbstractMucormycosis is a lethal human disease caused by fungi of the order Mucorales. Mucormycosis is caused by fungi mainly belonging to the genera Mucor, Rhizopus, and Lichtheimia, all of which belong to the order Mucorales. The number of individuals with mucormycosis-causing disorders has increased in recent years, hence, leading to the spread of mucormycosis. Throughout the coronavirus disease 2019 (COVID-19) pandemic, numerous cases of mucormycosis in COVID-19-infected patients have been reported worldwide, and the illness is now recognized as COVID-19-associated mucormycosis, with most of the cases being reported from India. Immunocompromised patients such as those with bone marrow sickness and uncontrolled diabetes are at a greater risk of developing mucormycosis. Genes, pathways, and other mechanisms have been studied in Mucorales, demonstrating a direct link between virulence and prospective therapeutic and diagnostic targets. This review discusses several proteins such as high-affinity iron permease (FTR1), calcineurin, spore coat protein (CotH), and ADP-ribosylation factors involved in the pathogenesis of mucormycosis that might prove to be viable target(s) for the development of novel diagnostic and therapeutic methods.

简介：AbstractIn order to effectively implement the Tianjin Biosecurity Guidelines for Codes of Conduct for Scientists, biosecurity awareness-raising and education are essential because if these are not in place scientists will not understand the need for biosecurity codes of conduct. In an effort to assist in the implementation of the guidelines, a small-scale survey was carried out in early 2022 of biosecurity awareness-raising and education projects that have been developed over the last two decades to discover what resources and experience have been accumulated. It is argued that the survey demonstrates that much of what is needed to implement the guidelines effectively has been developed, but that there are specific deficiencies that need to be remedied quickly. In particular, an updated teaching resource covering the core issues related to the Biological and Toxin Weapons Convention (BTWC) and the problem of dual use in scientific research needs to be made widely available and translated into at least the six official United Nations (UN) languages. Additionally, more specialists from the Humanities with expertise in ethics need to become involved in biosecurity awareness-raising and education activities. While advantage should be taken now of the available national, regional and international networks of people involved in related activities, it is suggested that in the longer term cooperation in biosecurity awareness-raising and education will benefit from the development of an equivalent organisation to the International Nuclear Security Education Network (INSEN) organised through the International Atomic Energy Agency (IAEA).

简介：摘要：目前大部分高校都安装了网络，也构建了具有各自高校特色的校园文化，在未来高校网络建设中，要进一步加强对网络技术应用和维护的研究。本文将分析目前高校校园网络的实际现状，提出有关高校网络技术应用和维护的措施。

简介：摘 要：气象网络安全日益严峻，一方面，各类网络攻击层出不穷；另一方面，气象大数据、云计算等技术迅速发展，各类气象资产、数据、人员等越来越分散，网络安全面临新的挑战，原有的网络安全防护技术已不能完全满足业务需要。本文介绍了气象部门网络安全方面面临的威胁、网络安全现有技术、以及网络安全新技术对气象网络安全的重要作用。

简介：摘要：在信息技术快速发展的情况下，社会中多个领域都应用了信息技术探索全新领域，广电网络中使用光网络传输技术已经成为发展必然趋势，广电网络需要逐渐改造和升级，在多个部分充分融合光网络传输技术，明确技术重点。根据目前实际情况来看，快速发展的科技水平对于广电网络有了更高的要求，所以需要按照实际需求对光网络传输技术应用以及改造。在光网络改革时遇到了光网络传输问题，需要针对技术不全面和传输效率不佳等方面的问题进行研究，希望可以通过解决问题的方式确保广电网络稳定健康发展。

简介：摘要：近几年来，随着我国信息技术的不断发展，网络学习空间应运而生。网络学习空间主要是由网络空间、云技术和教育资源等构成，具有开放自由、实名管理、互联互通、人人拥有等特点，它的出现在很大程度上推动了我国教育领域的创新发展。为了充分发挥出网络学习空间在教育领域中的积极作用，首先应该明确其发展特点和不同发展阶段所呈现出的形态，并合理利用网络学习空间的优势，全面提高我国的教育水平。本文以高职小学教育专业为例，主要对网络学习空间的应用策略进行了深入探究，希望能为广大高职院校提供一定的借鉴和参考。

简介：摘要：卷积神经网络是一种新型的无导师学习算法,在近几年有了较大发展,其主要思想为利用层间节点竞争产生隐含函数来处理非线性系统，在处理非平稳信号方面,它的优势主要体现在:可以利用网络中所有隐含层,使得原始数据与新产生的参数都保持一定关系,从而实现了非线性函数逼近;通过使用简单、有效等方法来减少输出矢量对算法时间和计算量要求较高之处。本文将介绍一下卷积神经网模型结构及相关技术特性以及一些典型应用场景下常用学习算法进行分析研究。

简介：AbstractBackground:Zoonoses are public health threats that cause severe damage worldwide. Zoonoses constitute a key indicator of One Health (OH) and the OH approach is being applied for zoonosis control programmes of zoonotic diseases. In a very recent study, we developed an evaluation system for OH performance through the global OH index (GOHI). This study applied the GOHI to evaluate OH performance for zoonoses in sub-Saharan Africa.Methods:The framework for the OH index on zoonoses (OHIZ) was constructed including five indicators, 15 subindicators and 28 datasets. Publicly available data were referenced to generate the OHIZ database which included both qualitative and quantitative indicators for all sub-Sahara African countries (n = 48). The GOHI algorithm was used to estimate scores for OHIZ. Indicator weights were calculated by adopting the fuzzy analytical hierarchy process.Results:Overall, five indicators associated with weights were generated as follows: source of infection (23.70%), route of transmission (25.31%), targeted population (19.09%), capacity building (16.77%), and outcomes/case studies (15.13%). Following the indicators, a total of 37 sub-Sahara African countries aligned with OHIZ validation, while 11 territories were excluded for unfit or missing data. The OHIZ average score of sub-Saharan Africa was estimated at 53.67/100. The highest score was 71.99 from South Africa, while the lowest score was 40.51 from Benin. It is also worth mentioning that Sub-Sahara African countries had high performance in many subindicators associated with zoonoses, e.g., surveillance and response, vector and reservoir interventions, and natural protected areas, which suggests that this region had a certain capacity in control and prevention or responses to zoonotic events.Conclusions:This study reveals that it is possible to perform OH evaluation for zoonoses in sub-Saharan Africa by OHIZ. Findings from this study provide preliminary research information in advancing knowledge of the evidenced risks to strengthen strategies for effective control of zoonoses and to support the prevention of zoonotic events.

简介：摘要：自智网络是一种新型的网络架构，它将人工智能和网络技术结合起来，使网络能够自主学习和自我优化。它比传统的人工智能更具有智能和自主性。自智网络可以应用于各种领域，例如自动驾驶汽车、机器人、工业自动化、军事系统和医疗保健。在这篇论文中，我们将自智网络应用于数通承载专业，进行了六项创新和探索，实现了数通承载专业的业务自动开通、网络性能可视、智慧割接、业务质量可视及优化调度，同时在故障自愈领域进行了相关研究。

简介：AbstractBackground:Being able to predict with confidence the early onset of type 2 diabetes from a suite of signs and symptoms (features) displayed by potential sufferers is desirable to commence treatment promptly. Late or inconclusive diagnosis can result in more serious health consequences for sufferers and higher costs for health care services in the long run.Methods:A novel integrated methodology is proposed involving correlation, statistical analysis, machine learning, multi-K-fold cross-validation, and confusion matrices to provide a reliable classification of diabetes-positive and -negative individuals from a substantial suite of features. The method also identifies the relative influence of each feature on the diabetes diagnosis and highlights the most important ones. Ten statistical and machine learning methods are utilized to conduct the analysis.Results:A published data set involving 520 individuals (Sylthet Diabetes Hospital, Bangladesh) is modeled revealing that a support vector classifier generates the most accurate early-onset type 2 diabetes status predictions with just 11 misclassifications (2.1% error). Polydipsia and polyuria are among the most influential features, whereas obesity and age are assigned low weights by the prediction models.Conclusion:The proposed methodology can rapidly predict early-onset type 2 diabetes with high confidence while providing valuable insight into the key influential features involved in such predictions.

简介：摘要:计算机网络通信技术在不断普及和发展的趋势下，给人们的生活和工作带来了很大的便利，但是其在实际应用的过程中还是存在很多问题，对其的发展和普及造成了很大的影响和制约，同时因为技术故障问题也对计算机信息安全造成了严重的威胁。所以，计算机网络通信技术的设计人员、研发人员乃至维修人员，必须要将重点放在提高网络通信的安全性和稳定性上，在实际设计工作过程不断地分析故障问题，并完善工作方式，结合实际问题提出更有效的解决措施，这样才能够更好地促进计算机网络通信技术的发展。

简介：摘要：在疫情时代，越来越多的公司因为防控需要因而采取线上办公的形式。大多数公司为了网络安全都拥有自己的公司内网。员工在家工作就必须连接公司内网，因此从这一需求出发，设置点对点的虚拟网络就成为了必要的工作前提。实现连接内网的功能，那么就可以极大地提高员工绩效，使员工具有更高的工作满意度，降低工作离职率。如今的虚拟网络技术融合了许多新技术，已经是一条只对数据进行加密的隧道了。其在网络体系中的重要性也与日俱增，已经成为了主流技术。

简介：摘要：在通信技术领域中,之所以网络通信技术占据主导性地位,主要原因是其在速度和方便性上的优势,不受时间和空间的限制,能够随时随地进行交流与沟通。在社会生活中,借助通信技术,使得企业之间的沟通更加流程,尤其是远程技术的应用,切实提升了工作效率,降低企业成本支持。网络通信技术的发展对整个社会影响深刻,成为不可或缺的沟通工具。

简介：摘要：随着我国互联网技术的不断发展，网络安全已经成为人们关注的重点问题，如何保障网络系统的安全性、保密性，确保网络运行过程中的安全可靠，成为当前困扰人们的一大难题。基于此本文就计算机网络系统中常见的集中VPN虚拟网技术展开论述，并提出了VPN在网络中数据传输、以及信息安全共享的实际解决措施，以期能够为网络运行安全提供理论支持。

简介：摘要：信息技术的发展加快了互联网发展的步伐，在人们的日常生活中也得到了广泛使用，提高了人们的生活质量与幸福感。在当前的信息社会中，人们对计算机无线网络的安全依赖性越来越强，计算机网络通信技术的不断增强，对于提高信息的传播速度有着十分重要的影响。将通信技术与计算机技术相互结合，成为现代信息发展的重要条件，也是通信行业今后发展的必然趋势。尽管计算机网络通信技术中还存在许多问题，但根据实际情况对其进行有针对性的完善，会为计算机网络通信技术今后的发展提供良好前景。 

简介：摘要：在数据信息呈指数增长的时代，数据存储始终扮演着至关重要的角色。从最早的穿孔卡片到现在普及的U盘和充满潜力的云存储，随着计算机技术和网络技术的发展，数据存储的方式和架构也在不断更新迭代。在互联网时代，可靠的大数据加上坚实的网络平台和框架正帮助各行各业迈向工业革命4.0的同时加速工业互联网的建设，尤其是健康领域的工业互联网。本文将介绍并比较DAS、NAS和SAN三种主流存储技术，并简单介绍医学检验实验室基于NAS技术在网络存储的应用。

简介：摘要：近年来，我国航空事业随经济发展而快速发展，对运营管理工作提出全新的要求。在此背景下，传统空管方式应用暴露出一定的缺陷和问题，为提高监管工作效率和质量，解决运营管理中的各类问题，实现空管信息化及加强网络监控技术应用至关重要。因此，本文以空管信息化为研究对象，在系统介绍网络监控系统的基础上，就网络监控技术的具体应用进行研究，期望给我国空管信息化网络建设发展提供一些具体可行的理论建议。

简介：摘要：当随着社会的发展，我国网络信息资源建设规模不断扩大和人们对互联网使用需求不断增加，网络安全问题也受到越来越多的关注。而计算机网络安全技术不仅能够有效地保护用户的隐私数据不被非法泄露，同时还能保障计算机系统正常运行以及网络传输安全。因此，相关工作人员应该重视计算机网络安全技术的发展和研究，促进网络安全环境的形成。

简介：摘要：现如今，科学技术的不断发展为人们的学习和生活带来了很多的便利。虚拟专用网络技术也并应用到了很多领域，得到了广泛的应用。而在教育领域，虚拟专用网络技术的应用有助于教师提高教学效率，但是在中职学校应用虚拟专用网络技术仍然存在一些问题，中职院校教师要采用更多的合理手段，提高该技术在中职校园网络信息安全中的应用效果。