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This paper aims to study the application of high-tolerance and flexible indigenous bacteria and fungi, along with the co-metabolism in recycled paper and cardboard mill (RPCM) wastewater treatment (WWT).

The molecular characterization of isolated indigenous bacteria and fungi was performed by 16S rRNA and 18S rRNA gene sequencing, respectively. Glucose was used as a cometabolic substrate to enhance the bioremediation process.

The highest removal efficiency was achieved for both chemical oxygen demand (COD) and color [78% COD and 45% color removal by Pseudomonas aeruginosa RW-2 (MZ603673), as well as approximately 70% COD and 48% color removal by Geotrichum candidum RW-4 (ON024394)]. The corresponding percentages were higher in comparison with the efficiency obtained from the oxidation ditch unit in the full-scale RPCM WWT plant.

Indigenous P. aeruginosa RW-2 and G. candidum RW-4 demonstrated effective capability in RPCM WWT despite the highly toxic and low biodegradable nature, especially with the assistance of glucose.

The purpose of this study is to investigate the relationship between dietary total antioxidant capacity (DTAC) and the dietary inflammatory index (DII) with inflammatory status in children recently diagnosed with Acute Lymphoblastic Leukemia (ALL). As the relationship between diet quality scores and inflammation remains uncertain in this population, the authors carried out a hospital-based cross-sectional study.

The study used a cross-sectional design involving 54 children recently diagnosed with ALL. Dietary data was collected using a 147-item semi-quantitative food frequency questionnaire developed for the Tehran Lipid and Glucose Study. Inflammatory status was evaluated using various indicators like C-reactive protein (CRP), neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), Glasgow prognostic score (GPS) and Complete blood count-based inflammatory score.

The authors found no significant relationship between DII with inflammatory indices and length of hospitalization in patients. However, a significant inverse relationship was observed between the antioxidant indices ferric-reducing ability of plasma, total reactive antioxidant potential and Trolox equivalent antioxidant capacity with the inflammatory index MLR, respectively (ß: −0.19, p = 0.001), (ß: −0.42, p = 0.02), (ß: −0.53, p = 0.005). Also, a significant inverse relationship between FRAP and CRP was observed in the crude model (ß: −0.13, p = 0.05). FRAP was also inversely correlated with GPS and PLR, respectively (ß: −0.08, p = 0.02), (ß: −0.26, p = 0.03). No additional significant links were discovered between food scores and the outcomes studied.

This study found no link between DII with inflammatory markers or hospitalization duration in children with ALL. However, the authors did observe a noteworthy inverse relationship between DTAC and certain inflammatory markers like MLR. To achieve more dependable findings, further research in this area is necessary.

Spurred by the high turnover in the pharmaceutical industry, locating pharmacies inside urban areas along with the high product perishability in this industry, the pharmaceutical supply chain management has recently gained increasing attention. Accordingly, this paper unveils an inventory-routing problem for designing a pharmaceutical supply chain with perishable products and time-dependent travel time in an uncertain environment.

In this study, mathematical programming is employed to formulate a multi-graph network affected by the traffic volume in order to adapt to real-world situations. Likewise, by transforming the travel speed function to the travel time function using a step-by-step algorithm, the first-in-first-out property is warranted. Moreover, the Box–Jenkins forecasting method is employed to diminish the demand uncertainty.

An appealing result is that the delivery horizon constraint in the under-study multi-graph network may eventuate in selecting a longer path. Our analysis also indicates that the customers located in the busy places in the city are not predominantly visited in the initial and last delivery horizon, which are the rush times. Moreover, it is concluded that integrating disruption management, routing planning and inventory management in the studied network leads to a reduction of costs in the long term.

Applying the time-dependent travel time with a heterogeneous fleet of vehicles on the multi-graph network, considering perishability in the products for reducing inventory costs, considering multiple trips of transfer fleet, considering disruption impacts on supply chain components and utilizing the Box–Jenkins method to reduce uncertainty are the contributions of the present study.

This study aims to investigate the most effective enablers and tools for inhabitants’ knowledge acquisition in public policymaking organizations.

Based on a literature review, the study summarized 51 individual, organizational, technological and inhabitant-related enablers of inhabitants’ knowledge acquisition, as well as 36 technological and social tools. The study assessed the effectiveness of these enablers and tools based on two rounds of a Delphi study targeting 31 policymakers in the Gulf Cooperation Council (GCC) countries. Kendall’s coefficient of concordance was assessed to determine consensus among participating policymakers.

The findings indicate that the most effective enablers were inhabitants’ willingness to get involved, information technology (IT) infrastructure, IT staff support and inhabitants’ trust in policymakers. Additionally, the study found that the most effective tools for inhabitants’ knowledge acquisition included meetings, interviews, social media and field visits.

Inhabitants’ knowledge acquisition is an important social and economic force that will drive change in any society by enabling the implementation of innovative ideas and practices. A review of the relevant research shows that despite the usability of inhabitants’ knowledge, the degree to which inhabitants’ knowledge acquisition is integrated into the public policymaking system remains unclear. This study of inhabitants’ knowledge acquisition from the policymaker perspective provides a better understanding of the inhabitants’ knowledge acquisition process in policymaking organizations.

The recent growth of Islamic bank (IB) assets in Indonesia has been mainly driven by government interventions rather than the organic development on the demand side. A novel approach to attract new consumers, increase market share and accelerate its development is the need of the hour. This study aims to propose beyond-money framing that promotes the Shari’ah and social dimensions of IB’s products on top of its contemporary marketing strategy. This paper examines whether this technique can advance IBs selection.

This paper uses the (online) laboratory experiment involving 192 high- and low-literate participants from Generation Z (Gen Z). Using difference tests and Logit regression, this paper examines the impact of beyond-money framing on customers decision-making.

Beyond-money framing has a significant impact in influencing customers decisions to select profit-and-loss sharing (PLS) products offered by IBs. The effect of the framing accelerates in the high-literate customers.

The contract examined is only the PLS one (mudharabah). Respondents are also restricted to Gen Z. This study does not separate the effect of Shari’ah and social aspects from beyond money framing.

To attract new customers, IBs should emphasise their products’ social and Shari’ah features rather than relying solely on a low-price strategy.

To the best of the authors’ knowledge, this paper is the first study proposing the framing strategy for IBs and examining its impact on IB’s product acceptance in Indonesia.

This study aims to assess the research developments and works pertaining to cybersecurity risks.

A bibliometric analysis of 749 studies on cybersecurity risks published between 1999 and 2021 was conducted using Scopus and the VOSviewer software.

This study reveals various findings, including the most influential authors and the top countries, journals, papers, funding institutions and affiliations publishing research on cybersecurity risks. The bibliometric analysis shows that the existing studies have affected the knowledge of the consequences of cybersecurity risks. However, some research gaps still exist in this field.

This study’s contribution is that it presents a comprehensive evaluation of the research on cybercrime and cybersecurity risks. Moreover, to the best of the authors’ knowledge, bibliometric analysis has not been conducted on cybersecurity risks. This study’s findings are likely to prove useful to practitioners and academics in mitigating the consequences of cybercrime and cybersecurity risks.

The present study aimed at developing and validating a self-development training package and determining self-development's effectiveness on job variables and human capital agility among secondary school principals in Isfahan.

In the first phase, the researcher conceived a full version of the self-development training package by studying the theoretical evidence of research and interviewing experts as well as using content analysis. The questionnaire was presented to several experts (n = 8) in that field of study for evaluation after compiling the initial version of the self-development training package, with the aim of determining the face and content validity. In the second phase of the study, the effectiveness of the self-development training package was experimented on secondary school principals using a quasi-experimental pre-test–post-test design and follow-up with a control group.

The evaluation results were suitable for the training package based on the proposed Lawshe method. The results also indicated that the implementation of a self-development training package in the experimental group had a significant effect on job performance and its dimensions, as well as human capital agility. The effect of the training package on increasing job performance in the post-test stage was 55.3% and was 50.2% in the follow-up stage. Also, the effect of this package on increasing the agility of human capital in the post-test phase was equal to 34.8% and was equal to 28.9% in the follow-up stage.

Question 1: What are the components of a self-development training package? Question 2: What is the credibility of the developed training package from the experts' point of view? Question 3: Does the self-development training package have an effect on job performance and its dimensions? Question 4: Does the self-development training package have an effect on human capital agility?.

Shopping motivations are considered the primary stimuli for shoppers in the prepurchase stage of the customer journey. This study contributes to the understanding of how cultural factors affect shopping motivation. This study aims to understand the effect of cultural factors on shopping motivations in Eastern culture with Islam religion.

This study is based on the approach of phenomenology, and multiple methods were performed to interpret the phenomenon of shopping motivations. To this aim, 16 observations and 18 in-depth interviews were performed for data collection, and after that, data interpretation was done.

In this study, the motivations fall into product-related and hedonic motivations which are related to shopper psychology, while environmental motivations are culturally dependent. The influence of cultural factors on the individual concept of shopping motivations was identified in this study. Nine subthemes including product selection, product quality, functional, in-store service, convenience, store environment, value shopping, self-gratifications and role-playing were identified in the categories of product-related, environmental and hedonic motivations.

In non-Western countries, the store environment profoundly influences shoppers’ experience. This study clearly illustrates relationships between theory and practice in grocery shopping motivations in a non-Western context. Retailers who are active in eastern Islamic countries should pay attention to the fact that cultural and contextual factors play a significant impact on the shopping motivation and behavior of these shoppers.

In this study, shopping motivations are not fixed in different societies, and cultural and contextual factors play a significant impact in this regard. In other words, shopping motivations are fluid, and cultural factors play a significant role in their formation. This study makes two important contributions: First, cultural motivations are prominent among Muslim shoppers. Among these motivations, shopping environment motivations, including relationships with others and cleanliness, and staff behavior are very significant. These motivations are highly influenced by the culture of the context and we discover which motivations are not related to psychology alone and that the context has a significant influence on their formation. Second, hedonic motivations are also highlighted in the purchase of utilitarian products. In addition to direct effects, such as Islamic regulations on halal foods, Muslims’ religious tenets also have significant indirect effects on their behaviors and motivations.

The purpose of this study is to provide a comprehensive analysis on the economic relationship between trade openness and economic growth and to identify current developments, potential research area and future directions. The emphasis is on the identification of annual growth of publications, country-wise distribution, publication pattern, intellectual structure and cluster analysis of scientific production in this field.

This study used evaluative techniques, text mining approach and performance analysis to identify possible patterns and correlation and to measure the impact of authors/citations/scientific production. Further, this study used the bibliometric mapping to represent the structural features of scientific production. This study emphasized on identification of the research hotspots based on occurrence of indexed keywords, productive researchers and journals during 2000–2022. Further, cluster analysis is performed using VOS viewer to analyze the current dynamics and future direction of the association between trade openness and economic growth (Eck and Waltman, 2011). Also, co-citation analysis is used in this study to identify the relations among authors or journals or documents using citation data, whereas the bibliographic coupling/mapping is intended to analyze the citing documents. Similarly, co-word analysis is used to study the article keywords that are mainly used to assess the conceptual structure of a concerning subject.

Economic growth is a function of trade openness, and it is important to analyze the relationship between trade openness and economic growth. Trade openness tends to become more liberalized over time, to contribute more to economic growth. Empirical evidence suggested that there exists a strong association between trade openness and economic growth. Further, keyword timeline analysis illustrated that the linkage between trade openness and economic growth is current area of interest among researchers. As per bibliometric analysis, China, Pakistan and Malaysia are the three most prolific countries in the terms of published articles on this theme. However, the most influential publications based on h-index and citation on trade openness–economic growth relationship is produced by Turkey. Based on cluster analysis, this study suggests that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development.

There are some limitations of this study. The first limitation is the authors have used Scopus database, leaving the possibility for future research to use Web of Science, Google Scholar or other similar sources. The second limitation is that the authors have used search terms “trade openness “and “economic growth,” although research could be performed using synonyms or even relevant terms in other languages.

Cluster analysis suggested that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development. Therefore, this study identified the potential research area in this research domain.

To confirm the originality of this study, to the best of the authors’ knowledge, this is the first study to combine bibliometric analysis and cluster analysis on trade openness–economic growth relationship. This study makes a comparison with phenomena/processes/events in contemporary economic and social reality in the field of trade openness and economic growth relationship.

Transitioning to a low-carbon economy requires a positive response by society, including business organizations, towards the green concept and also requires the implementation of long-term green strategies. These requirements could impose various transition risks on the sustainable development of the firms; hence, the present study aims to examine the impact of climate transition risk on a firm’s financial performance and market value creation from the Indian perspective.

We have considered the firm-level environmental risk score (ERS) to evaluate the sensitivity of a firm’s profitability (measured by ROA & ROE) and market value (measured by Tobin’s Q) towards the climate transition risk. The present study used multiple regression analysis to examine the impact of climate transition risk on the firm’s financial performance and market value creation, as evidenced by Nifty 50 companies.

The empirical results suggested that corporate climate transition risks have been positively associated with the firm’s financial performance indicators but negatively impacted the firm’s market value creation in the case of select Indian-listed firms. Hence, our results indicate that with the increase of firm-level climate transition risk, the firm’s financial performance increases but negatively affects the firm’s market value creation. The robustness tests have also confirmed the same results and supported our analysis.

The present paper contributes to the existing literature on climate risks and firms’ performance by providing insights about firms’ sensitivity towards climate transition risk from the Indian perspective.