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With the advent of the web computing era, the transmission mode of the Internet of Everything has caused an explosion in data volume, which has brought severe challenges to traditional routing protocols. The limitations of the existing routing protocols under the condition of rapid data growth are elaborated, and the routing problem is remodeled as a Markov decision process. this paper aims to solve the problem of high blocking probability due to the increase in data volume by combining deep reinforcement learning. Finally, the correctness of the proposed algorithm in this paper is verified by simulation.

The limitations of the existing routing protocols under the condition of rapid data growth are elaborated and the routing problem is remodeled as a Markov decision process. Based on this, a deep reinforcement learning method is used to select the next-hop router for each data transmission task, thereby minimizing the length of the data transmission path while avoiding data congestion.

Simulation results show that the proposed method can significantly reduce the probability of data congestion and increase network throughput.

This paper proposes an intelligent routing algorithm for the network congestion caused by the explosive growth of data volume in the future of the big data era. With the help of deep reinforcement learning, it is possible to dynamically select the transmission jump router according to the current network state, thereby reducing the probability of congestion and improving network throughput.

As self-service technologies (SSTs) become more prevalent, service providers are actively encouraging customers’ involvement with these technologies, sometimes even forcing their customers to use SSTs. This paper aims to examine the influence of the SST-only (vs full-service) mode on customers’ negative attitude toward SST providers through the mediating mechanism of powerlessness and explores how SST familiarity and SST anthropomorphism moderate the impacts of the SST-only mode on powerlessness.

Three experiments were performed, study 1 tested the main and mediating effect and studies 2 and 3 verified the moderating effects.

The results suggest that customer perceived powerlessness mediates the relationship between SST-only (vs full-service) mode and negative attitude toward SST providers. When the levels of SST familiarity and SST anthropomorphism are high, the impacts of SST-only on powerlessness are attenuated. Alternative mediating mechanism of powerlessness is examined and ruled out.

Future research should investigate other moderators that may reduce the impacts of SST on customer powerlessness. These moderators could be service-operating procedures, SST interface design, types of service situations and customer characteristics. In addition, other consequences of powerlessness, other than the negative attitude toward SST providers and intention to switch investigated here, should be investigated as well.

This research provides guidelines helping service providers to improve their customers’ SST usage experience by showing both SST familiarity and SST anthropomorphism may alleviate the negative effects of SST-only mode on customer perceived powerlessness more effectively.

This research examines the role of customers’ psychological reactions toward the SST-only mode, particularly from the perspective of power and control.

The purpose of this paper is to show that the droplet impact phenomenon is important for the advancement of industrial technologies in many fields such as spray cooling and ink jet printing. Droplet bouncing on the nonwetting surfaces is a special phenomenon in the impact process which has attracted lots of attention.

In this work, the authors fabricated two kinds of representative nonwetting surfaces including superhydrophobic surfaces (SHS) and a slippery liquid-infused porous surface (SLIPS) with advanced UV laser processing.

The droplet bouncing behavior on the two kinds of nonwetting surfaces were compared in the experiments. The results indicate that the increasing Weber number enlarges the maximum droplet spreading diameter and raises the droplet bounce height but has no effect on contact time.

In addition, the authors find that the topological SHS and SLIPS with the laser-processed microwedge groove array produce asymmetric droplet bouncing with opposite offset direction. Microdroplets can be continuously transported without any additional driving force on such a topological SLIPS. The promising method for manipulating droplets has potential applications for the droplet-based microfluidic platforms.

This paper aims to examine optimal decisions for information security investments for a firm in a fuzzy environment. Under both sequential and simultaneous attack scenarios, optimal investment of firm, optimal efforts of attackers and their economic utilities are determined.

Throughout the analysis, a single firm and two attackers for a “firm as a leader” in a sequential game setting and “firm versus attackers” in a simultaneous game setting are considered. While the firm makes investments to secure its information assets, the attackers spend their efforts to launch breaches.

It is observed that the firm needs to invest more when it announces its security investment decisions ahead of attacks. In contrast, the firm can invest relatively less when all agents are unaware of each other’s choices in advance. Further, the study reveals that attackers need to exert higher effort when no agent enjoys the privilege of being a leader.

In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator.

This study reports that the optimal breach effort exerted by each attacker is proportional to its obtained economic benefit for both sequential and simultaneous attack scenarios. A set of numerical experiments and sensitivity analyzes complement the analytical modeling.

In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator.

Resource discovery in peer‐to‐peer (P2P) systems have been extensively studied. Unfortunately, most of the systems studied are not designed to take advantage of the heterogeneity in peer nodes. In this paper, we propose a novel P2P overlay called RATTAN, which serves as an underlay of a Gnutella‐like network. RATTAN exploits the heterogeneity of peer nodes by structuring capable nodes as the core of the overlay. Using a tree‐like structure, RATTAN can maximize the search scope with a minimal number of query messages. We evaluate RATTAN with simulation. The experiments show the following interesting results. First, RATTAN is robust by exploiting redundant overlay links. Second, the maximum bandwidth demand for processing the protocol of a single RATTAN overlay is nearly 1M bits/sec. However, around 80% of the nodes merely take 66 bits/sec. One implication is that we can use a small number of relatively capable peers (e.g., stable machines with a 100M bits/sec network interface) to process the 1M bits/sec protocol overhead and serve other peers that only need to spend 66 bits/sec for processing protocol overhead.

This paper aims to answer the question: To what extent should neurodiverse students experience improved access to public universities in Egypt and why?

A systematic qualitative research method was used with data collected through semi-structured interviews with 44 educators in four universities in Egypt. A thematic approach was implemented to analyze the collected data.

The addressed educators believe that greater representation of neurodiverse students in their schools should be a priority for the following four reasons: first, neurodiverse students represent a promising new market segment schools could benefit from; second, recruiting more neurodiverse students represents a chance for schools and faculties to prove the social role they can undertake; third, schools can benefit from the unique skills many neurodiverse students have, particularly in mathematical and computational skills; and fourth, the greater the representation of neurodiverse students, the more research projects and funding opportunities educators can obtain.

This paper contributes by filling a gap in diversity management, higher education and human resources management in which empirical studies on the representation of neurodiverse individuals in public universities have been limited so far.

Audio-visual presentations – delivered either in real-life or virtually – feature heavily in educational assessments and employer recruitment. This study explored neurodivergent undergraduate students' experiences of presentations. The aim was to understand how neurodivergent students describe experiences of presentations in educational and workplace contexts and how neurodivergent students experienced training, support activities and learning technologies associated with presentations.

An exploratory qualitative phenomenological approach was taken, from students' perspectives. Overall, 12 neurodivergent undergraduate students (M_age = 21.89 years, SD_age = 2.57; nine women, two men, one non-binary) discussed their experiences of presentations within educational and/or professional contexts via semi-structured remote interviews. The sample included individuals with diagnoses of anxiety, depression, dyslexia, borderline personality disorder, dyscalculia, dyspraxia, and panic disorder.

Thematic Analysis of interview transcript data revealed four main themes (with sub-themes in parentheses): Control (preparedness; delivery); Audience Perceptions and Behaviours (expectations of “normality”; shared knowledge; audience “expertise”); Intervention Efficacy (early access; individuality; learning technologies) and Value of Presentation Skills (reciprocity between education – workplace; self-efficacy; self-esteem; learner development).

The dataset was extracted from a relatively small sample from a single university and indeed a single academic discipline. Furthermore, the dataset was collected during the ongoing COVID-19 pandemic – although this gives us a valuable snapshot of students' experiences and perceptions during this time, whether the author can extrapolate these findings in future is unclear.

The findings help understand how we better support students. Better ways to support learners can be developed in developing presentation and audience skills. This research shows that alternative assessment provisions must be based on individuals and their own specific needs and skills, rather than their divergence label. This research can inform the development of digital learning technologies.

This research can inform how educators, coaches, trainers, and facilitators “train” audiences to be more inclusive and less prejudicial/biased. We can understand how to better construct social spaces for presentations, in the classroom and the world of work.

This report presents a valid and valuable methodological approach, conducted and reported transparently. This research was conducted during a crucial, unprecedented and precarious time period for learners and education professionals. Implications are considered with respect to the design of teaching, learning and assessment activities; facilitator, learner, and peer behaviours; the role of digital learning technologies; and employment/employability.

The purpose of the study has been to fill the gap detected in the literature and to analyze whether the application of management of R&D in accordance with UNE 166002:2021 allows companies to obtain higher product innovation and better performance, specifically incremental and radical product innovations.

The population used in this study included Spanish manufacturing organizations that were active, had more than 50 employees according to the SABI. The information was collected through a structured questionnaire previously tested using a company specializing in the sector under the supervision of the authors. A total of 1,154 companies were randomly contacted in order to reach an acceptable number of 225 valid questionnaires. The data analysis has been carried out with structural equation methodology.

The results obtained with a sample of 225 companies show that the application of this standard for innovation management promotes the development of new products with incremental and radical changes, and improves business performance. It has also been found that incremental and radical product innovations mediate the relationship between this standard and performance.

Firstly, the survey is only addressed to the company's operations manager. Secondly, the sample used is cross-sectional, whereas innovation management implies a broad implementation process.

Managers must know that radical and incremental product innovation can improve the company's operational performance. And the most direct implication of this work is that, those companies that are committed to the development of innovations should seriously consider the application of the principles incorporated in Standard 166,002, as an instrument that improves the results of innovation in the organization. Since this SIMS promotes both types of innovations, it improves results directly and indirectly through these product innovations.

The existing literature indicates that no empirical study has focused on the benefits of this SIMSs for innovation and BP. This paper fills this gap detected in the literature and analyzes the results of the implementation of this standard on incremental and radical product innovations and business performance.

This study aims to investigate the literature related to the use of digital technologies for promoting circular economy (CE) in the construction industry.

A comprehensive approach was adopted, involving bibliometric analysis, text-mining analysis and content analysis to meet three objectives (1) to unveil the evolutionary progress of the field, (2) to identify the key research themes in the field and (3) to identify challenges hindering the implementation of digital technologies for CE.

A total of 365 publications was analysed. The results revealed eight key digital technologies categorised into two main clusters including “digitalisation and advanced technologies” and “sustainable construction technologies”. The former involved technologies, namely machine learning, artificial intelligence, deep learning, big data analytics and object detection and computer vision that were used for (1) forecasting construction and demolition (C&D) waste generation, (2) waste identification and classification and (3) computer vision for waste management. The latter included technologies such as Internet of Things (IoT), blockchain and building information modelling (BIM) that help optimise resource use, enhance transparency and sustainability practices in the industry. Overall, these technologies show great potential for improving waste management and enabling CE in construction.

This research employs a holistic approach to provide a status-quo understanding of the digital technologies that can be utilised to support the implementation of CE in construction. Further, this study underlines the key challenges associated with adopting digital technologies, whilst also offering opportunities for future improvement of the field.