bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of chloride concentration on the properties of passive film formed on Q235 steel in simulated concrete pore solutions
Authors: Liu Lupeng , Li Senlin , Gao Zhiming , Jia Hang , Hu Wenbin
Published: November 2022

Purpose

This paper aims to study the effect of chloride concentration on the properties of passive film formed on Q235 steel in simulated concrete pore solutions.

Design/methodology/approach

Mott–Schottky analysis and electrochemical impedance spectroscopy were used to study the passive film of Q235 steel in simulated concrete pore solution. X-ray photoelectron spectroscopy was used to analyze the composition of passive film on Q235 steel.

Findings

When the chloride concentration is below the chloride threshold value, open circuit potential (OCP) and Rct gradually increases and donor concentration (ND) remains unchanged with the increasing immersion time. When the chloride concentration exceeds chloride threshold value, OCP and Rct decreases after a temporary increase andNDincreases. The linear region of the Mott–Schottky curve lost its linearity. The electrochemical process control step is changed from charge transfer control to oxygen diffusion control. As the chloride concentration increases, the FeO content in the passive film increases and the Fe2O3content decreases. Chloride can destroy the outer layer of passive film and introduce impurities.

Originality/value

The effects of chloride and immersion time on the change process of passive films on Q235 steel in simulated concrete pore solution were studied using electrochemical methods. The mechanism of chloride destroying passive film was analyzed.
Multi-objective optimization of high torque density spoke-type PM machine for special vehicle drive system
Authors: Xu Hongli , Wang Chen
Published: November 2022

Purpose

This paper proposes a spoke-type fractional-slot concentrated windings (FSCW) permanent magnet (PM) machine for special vehicle driving systems to obtain higher torque and power density, high efficiency and wide field-weakening range. To enhance the efficiencies of multi-objective optimization processes, the respond surface (RS) method and black-hole (BH) algorithm are used.

Design/methodology/approach

The spoke-type FSCW PM machine is optimized to meet the requirements of the special vehicle driving system. The combination of the RS and BH algorithm is used to obtain high torque, low torque ripple and high efficiency.

Findings

The optimal spoke-type PM machine is obtained, and it has higher torque density, lower torque ripple, cogging torque and wider magnetic field weakening range. Finally, a 15-kW prototype machine is fabricated and tested to verify the results of the optimization method and finite-element analysis.

Originality/value

This paper designs a high torque density and efficiency spoke-type FSCW PM machine, which is superior for special vehicle driving systems. Meanwhile, the RS model combined with BH algorithm is applied to the field of electrical machine multi-objective optimal design.
Emerging HR analytics role in a crisis: an analysis of LinkedIn data
Authors: Kashive Neerja , Khanna Vandana Tandon
Published: November 2022

Purpose

This study aims to explore the emergence of the human resource (HR) analyst role. The job posts on LinkedIn display the industry demand and skills required by the organizations. This study identifies the different knowledge, skills and abilities (KSA) required for an HR analyst role in different stages of professional growth (i.e. entry-level, middle-senior level and top-level) across different industries/sectors as applicable to the crisis.

Design/methodology/approach

A total of 80 job posts were extracted from LinkedIn. Details such as industry, job levels, qualifications, job experience, job functions, job descriptions (JDs) and job skills (JS) were collected. Further, 30 videos were extracted from YouTube and converted into text. Text analysis was conducted using NVivo software to analyze JDs, JS and job functions. Using NVivo, word frequency, word cloud, word tree and treemap were created to visualize the data. Finally, ten in-depth interviews were conducted with senior HRA managers based in India to understand the essential competencies required for the HR analyst role and the strategies to develop them.

Findings

The findings indicate that not only technical skills are needed, but business and communication skills are particularly important for all job levels during a crisis. The JD word cloud showed words, such as data, business, support and management, and the word tree depicted HR data and change agents as important words with many related sentences as branches. General JS included analytical, communication, problem-solving and management. Technical JS were the most widely used and included structure query language, system applications & products in data processing, human capital management, TABLEAU, management information system and PYTHON. Strategies to develop these competencies included case studies, live projects, internships on HR analytics (HRAs) assignments and mentoring by senior HRA professionals.

Research limitations/implications

The sample used was small, as the study included 80 job posts available on LinkedIn restricted to India. The study was restricted to qualitative approach and text analytics was used. Survey methods and a quantitative approach can be used to collect data from HR recruiters, job holders and senior leaders to understand the role of HRAs in the job market and then these variables can be tested empirically.

Originality/value

Based on the McCartney et al.’s (2020) competency model for the HR Analyst role, this study has explored the KSA framework using data visualization techniques and used text analytics to analyze LinkedIn job posts for different levels, videos from YouTube and in-depth interviews. It also mapped the KSA for the HR analyst role to the various stages of crisis system management given by Mitroff (2005). The use of social media analytics, such as analyzing LinkedIn data and YouTube videos, are highlighted.
Investigation of integrated converter circuit and enriched error tolerant fuzzy logic controller based control approach for solar powered EV system
Authors: Kuselan Rajamohana , Sundharajan Venkatesan
Published: November 2022

Purpose

This study aims to extend the driving range by on-board charging with use of photovoltaic (PV) source, avoiding the dependency on the grid supply and energy storage system in addition to that reduce the conversion complexity influenced on converter section of electric vehicle (EV) system.

Design/methodology/approach

This paper proposed a PV fed integrated converter topology called integrated single-input multi-output (I-SIMO) converter with enriched error tolerant fuzzy logic controller (EET-FLC) based control technique to regulate the speed of brushless direct current motor drive. I-SIMO converter provides both direct current (DC) and alternating current (AC) outputs from a single DC input source depending on the operation mode. It comprises two modes of operation, act as DC–DC converter in vehicle standby mode and DC–AC converter in vehicles driving mode.

Findings

The use of PV panels in the vehicle helps to reduce dependence of grid supply as well as vehicle’s batteries. The proposed topology has to remove the multiple power conversion stages in EV system, reduce components count and provide dual outputs for enhancement of performance of EV system.

Originality/value

The proposed topology leads to reduction of switching losses and stresses across the components of the converter and provides reduction in system complexity and overall expenditure. So, it enhances the converter reliability and also improves the efficiency. The converter provides ripple-free output voltage under dynamic load condition. The performance of EET-FLC is studied by taking various performance measures such as rise time, peak time, settling time and peak overshoot and compared with conventional control designs.
Reducing the spread of COVID-19 transmission through analysis of the evolving building ventilation systems guidance
Authors: Fleming Renee , Madson Katherine Maslak , Perkins Bradley
Published: November 2022

Purpose

The purpose of this study was to examine how data from the World Health Organization, United States Environmental Protection Agency and Center for Disease Control have evolved with relation to engineering controls for heating, ventilation and air-conditioning (HVAC) systems to mitigate the spread of spread of aerosols (specifically related to the COVID-19 pandemic) in occupied buildings.

Design/methodology/approach

A document analysis of the pandemic-focused position documents from the aforementioned public health agencies and national HVAC authorities was performed. This review targeted a range of evidence from recommendations, best practices, codes and regulations and peer-reviewed publications and evaluated how they cumulatively evolved over time. Data was compared between 2020 and 2021.

Findings

This research found that core information provided early in the pandemic (i.e. early 2020) for engineering controls in building HVAC systems did not vary greatly as knowledge of the pandemic evolved (i.e. in June of 2021). This indicates that regulating agencies had a good, early understanding of how airborne viruses spread through building ventilation systems. The largest evolution in knowledge came from the broader acceptance of building ventilation as a transmission route and the increase in publications and ease of access to the information for the general public over time.

Originality/value

The promotion of the proposed controls for ventilation in buildings, as outlined in this paper, is another step toward reducing the spread of COVID-19 and future aerosol spread viruses by means of ventilation.
Challenges and strategies for sustainable project performance in the post-Covid era in Nigeria: a thematic analysis approach
Authors: Isang Inimbom Walter , Ebiloma David Ojimaojo
Published: November 2022

Purpose

Covid-19 pandemic have raised serious health concerns, work disruptions and job loss. Thus, Nigeria’s Covid-19 challenges can hinder project performance in the construction sector. By integrating the principle of sustainable construction, it can minimise the environmental and socio-economic impact of Covid-19. This research therefore aims at developing strategies to achieve sustainable project performance in the post-Covid era in Nigeria.

Design/methodology/approach

A qualitative research method was used. Data was collected from 13 stakeholders in the built environment. Percentages and thematic analysis were used to analyse data from the interviews.

Findings

The study reveals that stakeholders are encountering operational and financial challenges: Increased price of materials, labour and material shortage and project delays were key operational challenges. The financial challenges were related to increased construction cost, reduced profit and payment delays. To address these challenges, the study developed managerial, contractual and governmental strategies: Market survey and bulk purchase, remote working and adherence to Covid-19 protocols were among the key managerial strategies. For the contractual strategies: contracts reviews, smart contracts, working overtime and night shift were developed, while governmental strategies included provision of funds, loans and incentives for workers.

Originality/value

The study deduced that while environmental sustainability was employed to address the Covid-19 challenges, the economic and social aspects were found to be under-utilized. Therefore, the study concluded that a holistic application of environmental, economic and social sustainability themes while incorporating managerial, contractual and governmental strategies is significant for achieving sustainable project performance in the post-Covid era in Nigeria.
Personal information management practices: how scientists find and organize information
Authors: Chaudhry Abdus Sattar , Alajmi Bibi M.
Published: November 2022

Purpose

To take full advantage of the unprecedented availability of information on networks and digital systems, professionals need to be comfortable finding information relevant to the tasks at hand. This study was conducted at the Kuwait Institute for Scientific Research to investigate scientists’ personal information management (PIM) practices.

Design/methodology/approach

A qualitative research approach was used. Critical incidents were collected to probe information about PIM activities. The PIM-related critical incidents were gathered through extended conversations in the form of semi-structured interviews.

Findings

Extended conversations revealed that scientists were aware of the importance of information organization and management. They collected and received information from various sources regarding their tasks and saved part of the information for future use. Scientists organized saved information into named folders using the categories of projects, clients and planning. The files were updated by regular deletion and cleaning. Different strategies were used to retrieve the information. These included searching by keywords and file names, and browsing using the folder structure. Scientists have used various PIM tools. They reported that time pressure, information overload and anxiety due to information fragmentation were major challenges in PIM.

Originality/value

This study recommends a compilation of guidelines to assist scientists in the efficient management of personal information. As there are only a few studies currently available in the literature on scientists’ PIM, this study makes a valuable contribution to the relevant professional literature.
Operational performance entitling the knowledge of inventory management practices on business performance: a mediational study
Authors: Panigrahi Rashmi Ranjan , Meher Jamini Ranjan , Shrivastava Avinash K. , Patel Gokulananda , Jena Lalatendu Kesari
Published: November 2022

Purpose

The purpose of this paper is to examine the impact of knowledge of inventory management practices (KIMP) on operational performance (OP) and business performance (BP). This study emphasized understanding the mediational effect of OPs among KIMP and BP in manufacturing firms of Indian small- and medium-sized enterprises (SMEs).

Design/methodology/approach

This study analysed the above relationship from the data collected from 351 key officials of 170 Indian SMEs. The detailed analysis, including reliability, validity and testing hypothesis, was done in advanced SmartPLS-SEM 3.3.3 software.

Findings

The findings show that KIMP directly influences OP; thus, a company's OP significantly impacts the overall BP. The KIMP has no significant effect on BP. In line with this, the study findings demonstrate a significant, high mediation effect of OPs between KIMP and BP.

Originality/value

The KIMP on OP has been sparsely studied earlier, and neither have they conceptualized in understanding its impact on BP. In such tumultuous times, key manufacturing executives should stress the importance of KIMP as a comprehensive perspective.
Fostering soft skills leadership through a critical reflection approach
Authors: Lemos Vanessa Angioletti Ferreira , Brunstein Janette
Published: November 2022

Purpose

This paper aims to contribute to the research on the use of reflection in the work environment, highlighting its use in the development of interpersonal skills. This study presents procedures for promoting critical reflection using critical incidents, dialogue and reflective diaries, which can be a reference for researchers, managers, consultants and corporate educators.

Design/methodology/approach

This research was guided by an interpretative qualitative approach that is suitable for the study of critical reflection. The authors chose the method of action research because of its interactionist and interventionist character, which allows for the evaluation of the leadership soft skills development experience.

Findings

A leadership soft skills development program based on the concept of critical reflection in the work context leads to leaders having potential to promote changes in management practices and enhancing behavior, and the study points out the conditions necessary for success in instituting the desired changes and transformation.

Practical implications

The proposed developmental model, based on reflective conversations of critical incidents, dialogue and reflective diaries, stimulates critical reflection. This can be applied by other actors who are interested in promoting assessment and the development of soft skills.

Originality/value

There are few studies that discuss critical reflection in the corporate environment. In particular, few present models or tools that foster a reflective view of one’s assumptions, beliefs and values. This research not only advances this proposal by introducing considerations from practical experience as developed through action research, but it also signals the high potential of the study’s approach to promoting the development of soft skills.
Critical findings of the sixth assessment report (AR6) of working Group I of the intergovernmental panel on climate change (IPCC) for global climate change policymaking a summary for policymakers (SPM) analysis
Authors: Asadnabizadeh Majid
Published: November 2022

Purpose

The purpose of this study is to assess how intergovernmental panel on climate change’s (IPCC’s) sixth assessment report of Working Group I (WGI), a Summary for Policymakers (SPM), has evaluated the current climate change situation. The author uses the qualitative content analysis (QCA) method (i.e. summative content analysis [SCA]) to identify critical points of the SPM.

Design/methodology/approach

To better understand the WGI report and its SPM, the author uses the thematic analysis, often called the QCA method. This study takes more steps and uses one of the main qualitative content analysis approaches (i.e. SCA). Therefore, QCA (SCA) can help the author count the occurrence of certain words using computer-assisted qualitative data analysis software that quantifies the words in the data. This process helps the author to understand codes and patterns (e.g. the concept in the results section).

Findings

Interestingly, the AR6 says more about adaptation for policy makers in sections C (Climate information for risk assessment) and D (Mitigation of future climate change) than in sections A and D. Finally, this study concludes that the IPCC WGI SPM has addressed evidence on global climate change policymaking for SPMa, SPMd (mitigation-based strategies and mitigation policy [MP]) and SPMb, SPMc (adaptation policy and adaptation-based strategy).

Research limitations/implications

First, this study refers only to the contribution of WGI, a SPM. The findings of this study do not necessarily provide a full understanding of what the AR6 WGI SPM says about climate change. It points out that the QDA Miner software and Voyant tool do not include all variables and examples where mitigation and adaptation-based strategies are discussed. The guidance for coding is based on the approved version of IPCC AR6 WGI SPM. The final limitation is that the relatedness of key words (e.g. confidence, high and warming) is sometimes ambiguous; even experts may disagree on how the words are linked to form a concept. Thus, this method works at the keyword level. A more intelligent method would use more meaningful information than keywords.

Originality/value

This study used qualitative data analysis (SCA) to explore what was said about climate change in four sections of the IPCC AR6 WGI SPM, which may influence current and future global climate change policymaking.
Embedding and Siamese deep neural network-based malware detection in Internet of Things
Authors: Lakshmi T. Sree , Govindarajan M. , Srinivasulu Asadi
Published: November 2022

Purpose

A proper understanding of malware characteristics is necessary to protect massive data generated because of the advances in Internet of Things (IoT), big data and the cloud. Because of the encryption techniques used by the attackers, network security experts struggle to develop an efficient malware detection technique. Though few machine learning-based techniques are used by researchers for malware detection, large amounts of data must be processed and detection accuracy needs to be improved for efficient malware detection. Deep learning-based methods have gained significant momentum in recent years for the accurate detection of malware. The purpose of this paper is to create an efficient malware detection system for the IoT using Siamese deep neural networks.

Design/methodology/approach

In this work, a novel Siamese deep neural network system with an embedding vector is proposed. Siamese systems have generated significant interest because of their capacity to pick up a significant portion of the input. The proposed method is efficient in malware detection in the IoT because it learns from a few records to improve forecasts. The goal is to determine the evolution of malware similarity in emerging domains of technology.

Findings

The cloud platform is used to perform experiments on the Malimg data set. ResNet50 was pretrained as a component of the subsystem that established embedding. Each system reviews a set of input documents to determine whether they belong to the same family. The results of the experiments show that the proposed method outperforms existing techniques in terms of accuracy and efficiency.

Originality/value

The proposed work generates an embedding for each input. Each system examined a collection of data files to determine whether they belonged to the same family. Cosine proximity is also used to estimate the vector similarity in a high-dimensional area.
Repurchase intention in a physical store: moderated mediating role of electronic word-of-mouth
Authors: Liao Shu-Hsien , Hu Da-Chian , Fang Yi-Wen
Published: November 2022

Purpose

In physical stores, consumer repurchase is the primary goal of retail operators. This includes many aspects of consumers' perceived value of a store, including images of goods, services, brands, atmosphere etc. Thus, repurchase intention in a physical store is a critical research issue to the retailer.

Design/methodology/approach

This study took Taiwan Chunghwa Telecom's 3C electronic channel stores as the research object to investigate Taiwanese consumers' repurchase intentions for communication service and 3C products in this chain's physical stores. This study aimed to investigate the mediating role of perceived value (PV) between consumers' channel brand image (CBI) and store image (SI) on repurchase intention (RI). It further examined how the moderated mediating role of electronic word-of-mouth (EWOM) strengthens the influence of consumers' channel brand and store image on repurchase intention through perceived value.

Findings

The research results found that perceived value played a fully mediating role and electronic word-of-mouth is the moderating role on the proposed theoretical model by investigating two moderated mediation models.

Originality/value

This study considered that CBI represents commodity value and SI is the overall satisfaction obtained from consumer services. Thus, both channel brand and SI are active decision variables for consumers to purchase and repurchase in a physical store. For the moderated mediating role of EWOM, this study found that the indirect effect of both CBI and SI on RI through PV is stronger at low degree of EWOM than at high degrees of EWOM.
Green absorptive capacity, green dynamic capabilities and green service innovation: a study in Brazilian universities
Authors: Mazon Gisele , Soares Thiago Coelho , Birch Robert Samuel , Schneider Jonas , Andrade Guerra José Baltazar Salgueirinho Osório de Andrade
Published: November 2022

Purpose

This study aims to discuss the influences of green innovation processes on sustainable development and proposes a research model linking green absorptive capacity, green dynamic capabilities and green service innovation with the aim of clarifying how these interactions operate within universities.

Design/methodology/approach

Supported by a survey of sustainability researchers in Brazilian universities, a mediation‐moderation analysis and partial least squares structural equation modelling approach is used to examine the influence of green absorptive capacity and green dynamic capabilities on green service innovation.

Findings

This study reinforces that greening processes and products are relevant to an organization and provide information on the mechanisms for achieving greater sustainable performance.

Research limitations/implications

Considering one of the dimensions of administrative science as being university management, this study provides information on the mechanisms to achieve better sustainable development in universities.

Practical implications

This study contributes to the debate by adding the perception of university managers and provides guidance on new forms of management, which allows them to face changes while minimizing the disruption to the formation of organizational knowledge.

Social implications

Universities are becoming increasingly active in promoting societal changes toward sustainable development. It is intended that the results of this research contribute to future research and act as a reference for researchers, professionals and policymakers.

Originality/value

The concept of green absorption capacity in universities is relatively new and has not yet been investigated completely with respect to its association with university management and organizational structures.
Sustainability reporting regime transition and the impact on intellectual capital reporting
Authors: Van der Zahn J.-L.W. Mitchell
Published: November 2022

Purpose

To investigate, compare and document the magnitude and extent of intellectual capital disclosure to sustainability disclosure during a transition from a voluntary to mandated “comply or explain” sustainability reporting regime. And to empirically test if, during the regime transition period, changes in the magnitude (extent) of sustainability disclosure is a significant determinant of changes in the magnitude (extent) of intellectual capital disclosure.

Design/methodology/approach

Content analysis of 1,744 annual reports drawn from 436 Singapore listed firms spanning a four-year observation window (i.e. April 1, 2014 to March 31, 2018). The magnitude (number of sentences) and extent (number of items) of (1) intellectual capital disclosure measured using a 38-item index; (2) sustainability disclosure of a 105-item index; and (3) 15-item index to measure the magnitude and extent of joint sustainability/intellectual capital disclosure.

Findings

The average magnitude and extent of sustainability and the joint sustainability/intellectual capital disclosure increased whilst the average magnitude and extent of intellectual capital disclosure increased when regulatory discussion of a change to mandated sustainability reporting emerged. However, in the annual period the mandated sustainability reporting became effective while the average magnitude and extent of intellectual capital disclosure declined. Regression tests indicate a significant (insignificant) association between the change in the magnitude (extent) of sustainability disclosure and intellectual capital disclosure.

Research limitations/implications

From a research perspective, the analysis implies researchers investigating the consequences of mandated sustainability disclosure should consider impact on alternative non-financial disclosure themes and develop theoretical frameworks to derive why and how management may shift non-financial reporting strategies and practices.

Practical implications

For regulators, findings suggest there may be a need to weigh spillover costs of reductions in transparency related to intellectual capital. For investors, declines in the magnitude and extent of intellectual capital disclosure following a transition to mandated sustainability reporting may limit future firm valuation particularly of heavy intangible asset-oriented firms.

Originality/value

Initial study empirically investigating the impact of the transition from a voluntary to mandated sustainability reporting regime on the magnitude and extent of intellectual capital disclosure.
An empirical investigation and assessment of entrepreneurial learning factors: a DEMATEL approach
Authors: Agarwal Sucheta , Agrawal Vivek , Ramadani Veland , Dixit Jitendra Kumar , Gërguri-Rashiti Shqipe
Published: November 2022

Purpose

During the different phases of enterprise creation, entrepreneurial learning (EL) can be understood as an effective process. This study aims to find out the cause-and-effect relationships of the factors that are impacting EL.

Design/methodology/approach

This research has been conducted in two ways: first, the factors are identified through a systematic analysis of EL, and second, the cause-and-effect relationship among EL factors is analyzed using decision-making trial and evaluation laboratory, which is dependent on the opinion of experts. A network relationship matrix is also drawn from the measured factors.

Findings

A causal relationship has been established within the identified EL factors. Results indicate that educators and practitioners should focus and concentrate on the cause group-related factors, which are entrepreneurship education, entrepreneurial training, entrepreneurial competencies, experiences, family influence and role models. The remaining two, entrepreneurial perception and entrepreneurial willingness, are identified as being in the effect group. These two factors are affected and influenced by the cause group factors.

Research limitations/implications

By recognizing the multidimensionality of EL, this study gives the chance to look at what it means to be an entrepreneur from both a personal and a social point of view, including learning styles, learning from mistakes and self-regulated learning. Future research is urged to build tools that accurately capture this crucial factors of EL, thus allowing the field to gain greater integration and information accumulation.

Originality/value

Researchers have previously described factors that influence EL, but to the best of the authors’ knowledge, this is one of few studies that depict the cause-and-effect relationship between EL factors. These factors are critical to the growth of talented entrepreneurs in both developed and developing countries for promoting an entrepreneurial culture.
Students’ uptake and perspectives on teacher and peer feedback on written assignments
Authors: Alharbi Mohammed Abdullah , Alqefari Abdulrahman Nasser
Published: November 2022

Purpose

The purpose of this study is to examine the uptake of peer vs. instructor feedback provided on written essays by undergraduates in a writing course at a public university in Saudi Arabia.

Design/methodology/approach

This was a classroom intervention exploratory study with 16 pairs of students attending a writing class over a period of 14 weeks.

Findings

Analysis of feedback and uptake indicated that the students incorporated a high rate (85.21%) of feedback in revising their essays. The results also showed that the quantity of students’ uptake of instructor feedback (88.77%) was higher than that of peer feedback (82.17%). In terms of the rate of uptake of global feedback focusing on content and organization vs. local feedback focusing on language and formatting, the rate of uptake of local feedback (85.34%) was slightly higher than the uptake of global feedback (84.90%). The current results also showed that the quality of feedback (peer vs. instructor feedback and global vs. local feedback) also varied. Students’ perspectives on feedback underlined their perceived value of feedback on writing, their preference for instructor feedback and the perceived benefits of providing and receiving feedback.

Originality/value

This study investigated an area that has been under-researched in the Saudi higher education context and it has direct implications for the provision of feedback in writing classes.
Studying history and its effect on students’ political awareness: a case study of Saudi university students
Authors: Achour Meguellati , Alghamdi Hasnah
Published: November 2022

Purpose

This study aimed to address the importance and effects of studying history and Islamic history on students’ political awareness.

Design/methodology/approach

To achieve the objectives of this study, a questionnaire was used. A total of 315 university students aged 17–50 years old participated in the study. These students represented three of the most influential universities in the Kingdom of Saudi Arabia.

Findings

The results revealed a strong, positive and significant correlation between the study of history and students’ political awareness.

Originality/value

The findings of this study indicated that studying history and Islamic history leads to an increased level of students’ political awareness. Therefore, studying history is important for university students to develop their political awareness and prepare them as future leaders.
Space time fractional Ito system with variable coefficients: explicit solution, conservation laws and numerical approximation
Authors: Kour Baljinder , Inc Mustafa , Arora Ashish
Published: November 2022

Purpose

The purpose of this paper is to present the residual power series method for solving the space time fractional variable coefficients Ito system.

Design/methodology/approach

A weighted algorithm based on the residual power series method is used numerical solution of the space time fractional Ito system variable coefficients. The authors show that this technique yields the analytical solution of the desired problem in the form of a rapidly convergent series with easily computable components.

Findings

The authors illustrate that the proposed method produces satisfactory results with respect to the other semi analytical methods. The reliability of the method and the reduction in the size of computational domain give this method a wider applicability.

Originality/value

This research presents, for the first time, a new modification of the proposed technique for aforementioned problems and some interesting results are obtained.
Improving the color strength of poly(ethylene terephthalate) fabrics with a turmeric natural dye
Authors: Zare Abolfazl
Published: November 2022

Purpose

This study aims to enhance the dyeability of polyester fabrics with turmeric natural dyes through plasma and alkaline treatments. The aim is to achieve better color strength in dyed samples without significant changes in their other properties. This is done while the weight loss is kept in a range with no considerable effect on those properties.

Design/methodology/approach

The surface of a poly(ethylene terephthalate) fabric was modified using oxygen plasma at a low temperature. The alkaline hydrolysis of that polyester fabric was also done through treating it with an aqueous sodium hydroxide (NaOH) solution. The untreated and treated polyester fabrics were studied for the changes of their physical characteristics such as weight loss, wetting behavior, strength loss, bending length, flexural rigidity and K/S and wash fastness. The samples were treated with plasma and sodium hydroxide and dyed with a turmeric natural dye.

Findings

In comparison to the untreated sample, the plasma-treated, alkaline-treated and plasma treatment followed by alkaline hydrolysis polyester experienced 9.3%, 68.6% and 102.3% increase in its color depth as it was dyed with a turmeric natural dye, respectively. The plasma treatment was followed by alkaline hydrolysis. The improvement in the color depth could be attributed to the surface modification.

Originality/value

In this paper, investigations were conducted of the separate effects of plasma treatment and alkaline hydrolysis as well as their synergistic effect on the dyeing of the polyester fabric with a natural dye obtained from turmeric.
Effect of wire composition on microstructure and properties of wire and arc additive manufactured ZAlCu5MnCdVA aluminum alloy
Authors: Wang Ruizhe , Li Runsheng , Wang Guilan , Zhang Mingbo , Huang Jianwu , Lin Hang , Zhang Haiou
Published: November 2022

Purpose

Wire and arc additive manufacturing (WAAM) technology-based cold metal transfer (CMT) to produce large aluminum alloy parts has become more and more popular. In WAAM, wire is the only raw material. The purpose of this paper is to study the effect of wire composition on the microstructure and properties of the ZAlCu5MnCdVA alloy deposited by WAAM.

Design/methodology/approach

Two thin-walled ZAlCu5MnCdVA alloys with different wire compositions were prepared by WAAM. The copper contents were 4.7% (Al-4.7Cu) and 5.0% (Al-5.0Cu), respectively. The microstructure, element distribution and evolution of precipitated phases of the two samples were characterized and analyzed by optical microscopy, scanning electron microscopy and transmission electron microscopy. Hardness and tensile properties of samples were tested, and strengthening mechanism was analyzed in detail.

Findings

The results show that grain sizes of Al-4.7Cu and Al-5.0Cu are less than 40 μm. The average mass fraction of Cu in Al matrix and the number of nanometer scale θ'' and θ' phases are the main factors affecting the tensile properties of Al-Cu alloy. Tensile properties of two materials show different characteristics at room temperature and high temperature. Al-5.0Cu is better at room temperature and Al-4.7Cu is better at high temperature. The yield strength (YS), ultimate tensile strength (UTS) and elongation in the x direction of Al-5.0Cu at room temperature are 451 ± 10.2 MPa, 486 ± 10.2 MPa and 9 ± 0.5%, respectively. The YS, UTS and elongation in the x direction of Al-4.7Cu at high temperature are 290 ± 4.5 MPa, 356 ± 7.0 MPa and 13% ± 0.2%, respectively.

Originality/value

Experiments show that the increase of Cu element can improve the properties at room temperature of the ZAlCu5MnCdVA alloy by WAAM, but its properties at high temperature decrease.
A local enhanced spatiotemporal tensor decomposition for missing travel time completion
Authors: Ren Yilong , Wang Jianbin
Published: November 2022

Purpose

The missing travel time data for roads is a common problem encountered by traffic management departments. Tensor decomposition, as one of the most widely used method for completing missing traffic data, plays a significant role in the intelligent transportation system (ITS). However, existing methods of tensor decomposition focus on the global data structure, resulting in relatively low accuracy in fibrosis missing scenarios. Therefore, this paper aims to propose a novel tensor decomposition model which further considers the local spatiotemporal similarity for fibrosis missing to improve travel time completion accuracy.

Design/methodology/approach

The proposed model can aggregate road sections with similar physical attributes by spatial clustering, and then it calculates the temporal association of road sections by the dynamic longest common subsequence. A similarity relationship matrix in the temporal dimension is constructed and incorporated into the tensor completion model, which can enhance the local spatiotemporal relationship of the missing parts of the fibrosis type.

Findings

The experiment shows that this method is superior and robust. Compared with other baseline models, this method has the smallest error and maintains good completion results despite high missing rates.

Originality/value

This model has higher accuracy for the fibrosis missing and performs good convergence effects in the case of the high missing rate.
Metaverse tourism for sustainable tourism development: Tourism Agenda 2030
Authors: Go Hanyoung , Kang Myunghwa
Published: November 2022

Purpose

The purpose of this study is to define metaverse tourism and to provide a viewpoint and further research regarding metaverse tourism with respect to its potential for sustainable tourism.

Design/methodology/approach

This study investigated the potential of the metaverse for sustainable tourism based on United Nations World Tourism Organization (UNWTO) reports, Google Trends data and previous studies including human–computer interactions, virtual reality and cognitive studies.

Findings

This research found that metaverse products and experiences could aid in expanding the range of tourism resources and support sustainable tourism by providing alternative and profitable resources. Producing licensed and profitable metaverse tourism products and experiences could increase profitability for tourism destinations and should be developed in accordance with the UNWTO Sustainable Development Goals (SDGs).

Research limitations/implications

Using metaverse tourism products and experiences is a new approach to attain the SDGs. Analysis of accumulated data from further empirical studies and case studies is necessary to evaluate the effectiveness of this approach.

Originality/value

To the best of the authors’ knowledge, this paper is an original attempt to define metaverse tourism in the tourism and hospitality context and to consider its potential, linked to UNWTO’s SDGs. Insights from this paper could be useful for initiating further research and discussions on future metaverse tourism and sustainable tourism.
What innovations would enable tourism in Sri Lanka to re-build?
Authors: Jayawardena Chandi
Published: November 2022

Purpose

The goal of this paper is to narrate about tourism in Sri Lanka in the context of the current pandemic and other challenges and identify innovative solutions to rebuild tourism.

Design/methodology/approach

This qualitative study was undertaken by employing mainly secondary data sources.

Findings

Since the 26-year long civil war in Sri Lanka ended in 2009, tourism grew to unprecedented levels over the next ten years. Sri Lanka had formulated strategies to attract six million tourists and US$ 10 billion earnings by 2025. Tourism had been the third highest foreign exchange earner of the country representing over 5% of GDP, around 500,000 employees. The 2019 Easter Sunday terrorist attacks that killed 269 people severely affected tourism. Within a year of the attacks, the global COVID-19 pandemic further impacted tourism further. The current war in Europe added to the problems of Sri Lanka, which in 2022 plunged to its worse economic and political crisis. The protesters against the political corruption and fiscal mismanagement demanded the resignation of the President, Prime Minister and the Cabinet. In spite of these major challenges, this paper attempts to bring some optimism about the future potential of tourism in Sri Lanka.

Originality/value

This paper suggests 12 key measures and 9 suggestions for innovation to rebuild tourism in Sri Lanka from 2022 to 2030.
Introduction: how could rural tourism provide better support for wellbeing and socio-economic development?
Authors: Singh Ardhendu Shekhar , Parahoo Sanjai K. , Ayyagari Madhavi , Juwaheer Thanika Devi
Published: November 2022

Purpose

In this viewpoint, the theme editors provide an overview of the theme issue that aims to address the role of rural tourism in supporting the wellbeing and socio-economic development of local stakeholders.

Design/methodology/approach

The paper covers different facets of rural tourism in promoting the socio-economic development of rural communities. Specifically, the articles in this issue capture the nuances of how local stakeholders in rural tourism in different geographical regions use various strategies to promote the well-being and socio-economic development of local communities.

Findings

The papers in this theme issue demonstrate the potential role of rural tourism in promoting the socio-economic development of rural communities. These papers make an important contribution to the theory and practice of rural tourism by providing in-depth insight into the recovery and growth strategies adopted by stakeholders in diverse rural tourism destinations, especially in the wake of turbulent times such as the recent coronavirus disease 2019 (COVID-19) pandemic. These papers suggest frameworks for further research and provide case studies of innovation and adaptation.

Originality/value

This theme issue analyses stories of innovation, adaptation, and growth of rural tourism in various destinations that presented the industry with unique challenges in the wake of the COVID-19 pandemic. The discussion provides some lessons and charts direction for the industry. The significance is greater when stakeholders of rural tourism and policymakers view rural tourism as an engine for the recovery and growth of the rural and national economy.
Polydatin protects against gouty nephropathy by inhibiting renal tubular cell pyroptosis
Authors: Shi Xingliang , Zhuang Lili , Zhai Zeqing , He Yi , Sun Erwei
Published: November 2022

Objective

To investigate the protective effect and mechanism of polydatin (PD) against gouty nephropathy (GN) in mice.

Methods

Twenty‐four mice were randomly divided into three groups: the control group (no treatment), the GN group (300 mg/kg hypoxanthine + 150 mg/kg potassium oxonate), and the GN + PD group (300 mg/kg hypoxanthine + 150 mg/kg potassium oxonate + 50 mg/kg PD). Histological changes in the kidneys and the levels of uric acid (UA), blood urea nitrogen (BUN), and serum creatinine (SCr) in the sera were measured. In addition, the expression of gasdermin D (GSDMD) protein in renal tubular epithelial cells, and the expression of NOD‐like receptor protein 3 (NLRP3), GSDMD, and caspase‐1 proteins in the kidney tissues were determined by immunohistochemistry, immunofluorescence, and Western blot.

Results

In vitro, PD inhibited the expression of NLRP3, caspase‐1, and GSDMD and protected the renal tubular epithelial cells from pyroptosis. In vivo, PD treatment significantly ameliorated the pathological changes in kidney tissue, and reversed the decrease of serum UA and BUN in GN model mice. The expression of NLRP3, GSDMD, and caspase‐1 proteins was also decreased in the PD‐treated GN mice.

Conclusion

The results suggest that PD has a protective effect on mice with GN, which may be related to the downregulation of NLRP3, GSDMD, and caspase‐1 proteins and the inhibition of renal tubular epithelial cells pyroptosis.