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A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and establish an innovative and safe solution that prevents unauthorised intrusions for defending various components of cybersecurity. We present a survey of recent Intrusion Detection Systems (IDS) in detecting zero-day vulnerabilities based on the following dimensions: types of cyber-attacks, datasets used and kinds of network detection systems.

Purpose: The study focuses on presenting an exhaustive review on the effectiveness of the recent IDS with respect to zero-day vulnerabilities.

Methodology: Systematic exploration was done at the IEEE, Elsevier, Springer, RAID, ESCORICS, Google Scholar, and other relevant platforms of studies published in English between 2015 and 2021 using keywords and combinations of relevant terms.

Findings: It is possible to train IDS for zero-day attacks. The existing IDS have strengths that make them capable of effective detection against zero-day attacks. However, they display certain limitations that reduce their credibility. Novel strategies like deep learning, machine learning, fuzzing technique, runtime verification technique, and Hidden Markov Models can be used to design IDS to detect malicious traffic.

Implication: This paper explored and highlighted the advantages and limitations of existing IDS enabling the selection of best possible IDS to protect the system. Moreover, the comparison between signature-based and anomaly-based IDS exemplifies that one viable approach to accurately detect the zero-day vulnerabilities would be the integration of hybrid mechanism.

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

This chapter proposes a protocol based on blockchain technology applied to corporate social responsibility (CSR). The first part discusses the characteristics associated with CSR actions and the main difficulties its development faces, such as transparency, security, fault tolerance, among others. Subsequently, the authors describe the characteristics and concepts related to blockchain-based developments to later describe our framework for the control and development of CSR actions based on blockchain. Herein, the authors also describe how to publicly and privately identify the participating elements of CSR and the operations and resources necessary for the implementation and operation of the proposed protocol.

The purpose of this paper is to explore the variation law between the clay microstructure and macro external force by using soil scanning electron microscope (SEM) images.

First, SEM images of clay were pre-processed by MATLAB, and quantitative statistical parameters such as directional probability entropy, fractal dimension and shape factor are extracted. Second, the distribution force model was proposed, considering that the microscopic parameters of soil particles were independent of each other, and the distribution coefficient was determined according to the analytic hierarchy process (AHP). Then, the fitted formula of quantitative statistical parameters based on the distribution force model was obtained by taking the macroscopic distribution force as independent variable and the microscopic parameters of soil particles as dependent variable. Finally, the correctness of corresponding fitting formula was verified.

The results showed that the change of external consolidation pressure has great influence on the directional probability entropy and fractal dimension, while the shape factor reflecting the regular degree of soil particle shape is less sensitive to the consolidation pressure. The fitting formula has high accuracy, and mostly the R value can reach more than 0.9. All the data have passed the test, which proves that the distribution force model proposed in this paper is rational.

The model can be used to connect the macroscopic stress of soil with the micro-structure deformation of soil particles through mathematical formula, which can provide reference for engineering practice.

The purpose of this paper is to study the price decisions and profits of two firms in a competitive market in which one platform firm considers whether to adopt a consumer customization strategy.

This study develops the consumer’s utility function, which captures consumers’ behavioural and emotional factors in the self-customizing process, and it adopts a game theory approach to analyze the equilibrium price and equilibrium profit for each firm.

The results show that increased sensitivity in consumer customization might not benefit the platform, especially when the size of the consumer group deriving positive additional utility from the self-customizing process is small. Interestingly, if the consumer customization sensitivity is high, increasing sensitivity can benefit both firms by relaxing competition between them, while it can hurt consumer surplus. The study also further identifies the conditions under which platforms can adopt a consumer customization strategy.

Two major limitations of the study are that the model does not involve price discrimination or explore the value of adopting a consumer customization strategy in a vertically differentiated market.

This study offers managerial insights for the platforms that intend to invest in a consumer customization strategy, including providing a more simple, more efficient self-customizing process for consumers; empowering consumers to broadcast their creations to a large network by social media technologies; addressing how to determine what consumers really need and want; and so on.

Little research has been performed to analyze the impacts of adopting a consumer customization strategy on pricing decisions in a duopoly market by capturing consumers’ behavioural and emotional factors. While this study explores the above research issue, it also illustrates the effect of the adoption of a consumer customization strategy from a consumer surplus perspective.

Little attention has been given to the mental and physical health impacts of COVID-19 on the academic public health workforce. Academic public health is an important support mechanism for public health practice, providing expertise and workforce training, conducting research, disseminating evidence-based scientific information to both public health and lay audiences, and serving as a supplementary workforce when additional resources are needed. These roles become more important during a public health emergency, particularly during a prolonged public health crisis like the COVID-19 pandemic. As a result of the COVID-19 response, the roles of academic public health have expanded to include developing and implementing contact tracing, surveillance, testing, and vaccination programs for universities and their surrounding communities, all while continuing to prepare students and support the public health practice workforce in their ongoing efforts. As in other responder groups, this has resulted in significant mental health effects and burnout among public health academicians. The authors suggest important steps that can be taken to improve the resilience of the academic public health workforce and to support their contributions during prolonged public health emergencies.

The authors focus on a non-Western setting that has hardly featured in debates around political authenticity, Taiwan. The authors also adopt a novel inter-generational perspective to look at varying attitudes towards two ‘unconventional’, high-profile politicians, Ko Wen-je and Han Kuo-yu. Drawing on focus group data, the authors note the similarities and differences in the way that the different generations engage with, and assess, the two politicians with a particular focus on the extent to which their personalities, appearance, and everyday activities are perceived as authentic.

The following paper is a “Q & A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market.

The interviewee is Dr Yulun Wang, an inventor, self-taught entrepreneur, business leader and world-renowned authority on robotics and health care. Dr Wang shares his successful three-decade journey that began with researching the market needs and aligning himself with medical experts, followed by pioneering robotic solutions specifically for the health care industry. In the process, Dr Wang founded and spearheaded both a public and private robotics company.

Dr Yulun Wang received a BSc and an MSc in Computer Science, and a PhD in Electrical Engineering, from the University of California, Santa Barbara (UCSB). After teaching at UCSB for a few years, with a grant he won from NASA, Dr Wang founded Computer Motion, Inc. in 1989 and conducted research on endoscopic robots. Computer Motion went public in 1997 and later merged with its competitor, Intuitive Surgical (NASDAQ:IRSG) in 2003 to forge the multi-billion dollar surgical robotics industry. Dr Wang founded InTouch Technologies (d.b.a. InTouch Health), in 2002, named one of the fastest-growing biomedical companies in the USA by INC Magazine.

Dr Wang launched his career at the intersection of health care and technology with his invention of the voice-controlled robotic arm AESOP, the first US Food and Drug Administration (FDA)-cleared surgical robot. His next generation ZEUS robotic surgical system (ZRSS), was cleared by the FDA in 2001. Also in 2001, ZRSS was used in the world’s first telesurgery, as surgeons in New York controlled the arms of the Zeus to perform a cholecystectomy on a patient in Strasbourg, France, via a high-speed fiber optic supplied by France Telecom. This led Dr Wang to found InTouch Health, a company that pioneers remote presence robot systems that enable health care professionals to provide more effective and efficient health care. Dr Wang has received multiple other entrepreneurship and leadership awards, including being elected to the prestigious ranks of the National Academy of Engineering in 2011. He is the author of over 50 scientific publications, and holds over 100 patents registered in his name. Dr Wang serves on several boards, including the American Telemedicine Association (ATA) Board of Directors, where he also serves as an officer.

The purpose of this paper is to gain an understanding of the current status, major concerns and trends faced by Chinese HRM professionals in relation to Wayne Chen and Hay Group China's engagement in its client organizations, also to identify the relationship between HRM research and practices in China.

The paper reports an interview with an established HRM consulting practitioner, Wayne Chen, Managing Director of Hay Group Northeast Asia.

The gap in HRM professionals' skill set between China and Western countries may take years to close. The impact of Chinese culture in the workplace also indicates HRM practice is different to that in the West. The focal area of China HRM practices is to help organizations achieve their strategic goals by effectively managing and developing talents additionally, research informed HRM practice proves to be effective in enhancing the contributions of HRM practices to organizations.

The practical implication is obvious as the interviewee is with a leading consultant currently engaged in real world Chinese HRM practice. This paper also informs future research on Chinese HRM.

The interviewee, Wayne Chen, offers valuable insights for both HRM practitioners and researchers about current status and future trends in Chinese HRM practices.

Beginners and even experienced ones have difficulties in completing the structural fire analysis due to numerical difficulties such as convergence errors and singularity and have to spend a lot of time making many repetitive changes on the model. The aim of this article is to highlight the advantages of explicit solver which can eliminate the mentioned difficulties in finite element analysis containing highly nonlinear contacts, clearance between modeled parts at the beginning and large deflections because of high temperature. This article provides important information, especially for researchers and engineers who are new to structural fire analysis.

The finite element method is utilized to achieve mentioned purposes. First, a comparative study is conducted between implicit and explicit solvers by using Abaqus. Then, a validation process is carried out to illustrate the explicit process by using sequentially coupled heat transfer and structural analysis.

Explicit analysis offers an easier solution than implicit analysis for modeling multi-bolted connections under high temperatures. An optimum mesh density for bolted connections is presented to reflect the realistic structural behavior. Presented explicit process with the offered mesh density is used in the validation of an experimental study on multi-bolted splice connection under ISO 834 standard fire curve. A good agreement is achieved.

What makes the study valuable is that the points to be considered in the structural fire analysis are examined and it is a guide that future researchers can benefit from. This is especially true for modeling and analysis of multi-bolted connections in finite element software under high temperatures. The article can help to shorten and even eliminate the iterative debugging phases, which is a problematic and very time-consuming process for many researchers.