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The purpose of this study is to investigate individuals’ perceptions and behavior when dealing with misinformation on social media platforms. While misinformation is not a new phenomenon, the COVID-19 outbreak has accelerated its spread through social media outlets, leading to widespread exposure to false or misleading information. This exposure can have serious consequences on individuals’ decision-making and behavior, especially when it comes to critical decisions related to education or healthcare. The use of social media as a source of information makes it essential to understand how people perceive and respond to misinformation to develop effective strategies for mitigating its harmful effects.

This large-scale study explores the Omani individuals’ perceptions and behaviour of misinformation on the social Web in a series of studies that seek to enhance the authorities’ response to misinformation. The study adopted a quantitative approach to collect data. Using WhatsApp as a social networking platform, a survey was disseminated to capture participants’ perceptions and behaviour among different segments of citizens in Oman.

The findings showed that Omani participants have high verification skills, implying high information literacy skills among them. Additionally, results indicated that misinformation had created doubt and anxiety among the participants. Moreover, it hindered many participants’ ability to take countermeasures and obtain reliable data.

This study was a large-scale study conducted in Oman, making it one of a few studies conducted in the region about perceptions and behaviour towards misinformation. The findings help to understand how different cultures interacted with COVID-19 misinformation. In addition, these findings offer useful insight that can help health information professionals to design preventive resources that help people to obtain accurate information during crises.

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.

This study aims to explore the nature of tacit knowledge (TK) sharing among library colleagues, with a focus on the characteristics of TK and contextual factors such as organizational culture or the mentor/mentee relationship.

Using a critical incident approach, participants self-selected based on pre-established criteria to report knowledge sharing incidents between colleagues at either an in-person or virtual reference desk. Subsequent semi-structured interviews were transcribed from recordings and coded for thematic elements.

Three thematic areas emerged. First are the influence of organizational culture and the importance of trust on knowledge sharing behavior. Second, the value of teamwork and the significance of mentor/mentee roles surface as significant drivers of TK exchange. Last but not least is a better understanding of the nature of TK, as it relates to types of knowledge and characterizations of experience and expertise.

The relatively small sample size nevertheless revealed some important findings that contribute to the understanding of the role of TK sharing in libraries.

The value of knowledge sharing in libraries is not well understood. This study demonstrates the value on several levels, including the influence of culture and trust, and the power of mentoring to harness TK held by experts. The proposed Tacit Knowledge Alignment Framework contributes to the understanding of the nature of TK in libraries. These findings begin to fill a research gap by furthering our understanding of TK and informing future retention efforts that are lacking in many libraries.

Studying the shear stress and pressure resulting on the walls of blood vessels, especially during high-pressure cases, which may lead to the explosion or rupture of these vessels, can also lead to the death of many patients. Therefore, it was necessary to try to control the shear and normal stresses on these veins through nanoparticles in the presence of some external forces, such as exposure to some electromagnetic shocks, to reduce the risk of high pressure and stress on those blood vessels. This study aims to examines the shear and normal stresses of electroosmotic-magnetized Sutterby Buongiorno’s nanofluid in a symmetric peristaltic channel with a moderate Reynolds number and curvature. The production of thermal radiation is also considered. Sutterby nanofluids equations of motion, energy equation, nanoparticles concentration, induced magnetic field and electric potential are calculated without approximation using small and long wavelengths with moderate Reynolds numbers.

The Adomian decomposition method solves the nonlinear partial differential equations with related boundary conditions. Graphs and tables show flow features and biophysical factors like shear and normal stresses.

This study found that when curvature and a moderate Reynolds number are present, the non-Newtonian Sutterby fluid raises shear stress across all domains due to velocity decay, resulting in high shear stress. Additionally, modest mobility increases shear stress across all channel domains. The Sutterby parameter causes fluid motion resistance, which results in low energy generation and a decrease in the temperature distribution.

Equations of motion, energy equation, nanoparticle concentration, induced magnetic field and electric potential for Sutterby nano-fluids are obtained without any approximation i.e. the authors take small and long wavelengths and also moderate Reynolds numbers.

The tear strength (Ts) is a significant property for any kind of soft polymeric material such as rubber, elastomer, viscoelastic material and its composites, to quantify the suitability of a material for any shape memory applications. Many times, the soft elastomeric polymer material has to be capable enough to deform to a maximum extent of displacement but at the same time, it has to withstand the maximum load without fail. Along with shape recovery properties (i.e. the ability to recover its shape from programmed to the original), the success of the shape memory cycle is mainly depending on its stiffness and strength. It has to resist tear during stretching (i.e. programming stage) as repeatedly subjected to deformation, and, hence, it is important to study the tear behaviour for shape memory polymers (SMPs) and their composites. The purpose of the work is to investigate the effect of parameters on Ts of 4D printed specimen using Taguchi method.

The objective of the work is to tailor the Ts of SMPs by reinforcing the graphene nano particles (GNPs) in a blended photopolymer (PP) resin with flexible PP and hard PP resin. In this study, a total of nine experiments were designed based on the L9 orthogonal array (OA) using the design of experiments (DOEs). All the shape memory photopolymer composite’s (SMPPCs) specimens are fabricated using masked stereolithography (MSLA), also known as resin three-dimensional printing (R3DP) technique.

Specimens are tested using universal testing machine (UTM) for maximum tear force (F_max) and displacement (δ) caused by tearing the specimen to evaluate the strength against the tear. The results showed that the Wt.% of resin blend highly influenced both F_max and δ, while GNPs also had an impact on δ. The specimens are offering more tear resistance for those specimens blended with less Wt.% of flexible PP at the same time the specimens enable more δ for those specimens reinforced with 0.3 Wt.% GNPs at 10-s exposure time. The optimum combinations are A1, B1 and C3 for the F_max and T_s and at the same time A1, B3 and C3 for δ.

To customise the tear resistance of SMPPCs using MSLA 3 D printing, this study suggested a blend of PP resins reinforced with GNPs. This opens up a new path for creating novel, inexpensive multi-functional 4-dimensional (4D) printed parts.

The use of flexible PP and hard PP resin blends, fabricating the SMPPCs specimens using 3 D printed MSLA technology, investigating the effect of GNPs, resin blend and exposure time, optimizing the process parameters using Taguchi and the work were all validated using confirmation tests and regression analysis using test train method, which increases the originality and novelty.

The paper researches the actions taken by United Arab Emirates (UAE) industry stakeholders in response to the COVID-19 pandemic to mitigate impact, ensure continuity and target growth. More specifically, the focus is to investigate innovations adopted across hotel brands, both, local and international, and the UAE Government's policies that have created an enabling ecosystem for such innovations.

Using an exploratory analysis technique, the paper provides a socio-economic, scientific and economic overview of the UAE and then proceeds to highlight the zeitgeist in the context of the hospitality and tourism industry. The impact of COVID on the industry is discussed and stakeholder feedback is solicited and analyzed to gauge the variety of innovations adopted to address the pandemic induced challenges.

A key finding of this research indicates that proactive government policies have enabled the hospitality and tourism industry to stay viable and perform better than their counterparts in most destinations. The “innovate or perish” mindset spurred by the pandemic is evident in the variety of innovations adopted by hotel brands in the UAE. Another key finding is that digital transformation, operational efficiency and sustainability are the innovation drivers in hospitality.

Using the UAE as a case in point, the study highlights the importance of an innovation mindset which the hospitality and tourism industry needs to embrace in order to tide over the crisis triggered by the pandemic.

The new ways of working (NWW), a contemporary work environment with temporal and spatial flexibilities, has become an enforced reality after the COVID-19 pandemic disrupted workplaces. However, the understanding of how it impacts employee well-being perceptions is limited. Hence, the current study aims to examine how the NWW facets, namely, time- and location-independent work, management of output, access to organizational knowledge and flexibility in working relations relate to employees' life satisfaction, mediated by psychological capital.

A cross-sectional survey was designed to collect data from 459 Indian knowledge workers. Model fit and the hypothesized relationships were tested using IBM SPSS 25, AMOS and PROCESS Macro.

All four NWW facets positively relate to psychological capital, which in turn associates with life satisfaction. Except for the facet “management of output”, the other three facets associate positively with life satisfaction before accounting for the mediator. Indirect effects of all four facets on life satisfaction via psychological capital were established. Overall, the findings establish the important mediating role of psychological capital in relating the NWW facets with life satisfaction.

By examining the previously unexplored relationships between NWW, psychological capital and life satisfaction, this study provides novel insights into the role of personal resources in maximizing the beneficial effects of the NWW practices and is highly relevant in the current context where organizations are trying to identify coping mechanisms that help employees adapt to workplace transformations.