bluuebunny/crossref_metadata_2025_split huggingface dataset:
Convergent relaxation of molecular constraint in mammalian herbivores highlights the roles of liver and kidney functions in carnivory
Authors: Pollard Matthew D. , Meyer Wynn K. , Puckett Emily E. 
Published: November 2023

ABSTRACTMammalia comprises a great diversity of diet types and associated adaptations. An understanding of the genomic mechanisms underlying these adaptations may offer insights for improving human health. Comparative genomic studies of diet that employ taxonomically restricted analyses or simplified diet classifications may suffer reduced power to detect molecular convergence associated with diet evolution. Here, we used a quantitative carnivory score—indicative of the amount of animal protein in the diet—for 80 mammalian species to detect significant correlations between the relative evolutionary rates of genes and changes in diet. We identified six genes—ACADSB,CLDN16,CPB1,PNLIP,SLC13A2, andSLC14A2—that experienced significant changes in evolutionary constraint alongside changes in carnivory score, becoming less constrained in lineages evolving more herbivorous diets. We further considered the biological functions associated with diet evolution and observed that pathways related to amino acid and lipid metabolism, biological oxidation, and small molecule transport experienced reduced purifying selection as lineages became more herbivorous. Liver and kidney functions showed similar patterns of constraint with dietary change. Our results indicate that, in highly carnivorous lineages, selection acts on the liver and kidneys to maintain sufficient metabolism and excretion of substances found in excess in carnivorous diets. These biological functions become less important with the evolution of increasing herbivory, so experience a relaxation of constraint in more herbivorous lineages.
Developing the framework of blockchain-enabled agri-food supply chain
Authors: Sharma Anandika , Bhatia Tarunpreet , Singh Rohit Kumar , Sharma Anupam 
Published: November 2023

Purpose The food supply chain has faced many challenges due to its complex and complicated nature. Blockchain technology is one of the mechanisms used to improve agri-food supply chain processes by evolving organization capabilities. A study is being conducted to scrutinize the adoption of blockchain technology in the agri-food supply chain through the lens of the operational capability approach. It further makes an attempt to identify the capabilities of blockchain to improve supply chain processes.Design/methodology/approach The qualitative research method with semi-structured interviews was used to gather information from experts and professionals in the food supply chain and blockchain technology. The authors have adopted a systematic approach of coding using open, axial and selective methods to depict and identify the themes that represent the blockchain-enabled agri-food supply chain. The data were collected from 32 interviews of selected participants.Findings The result shows five critical areas where blockchain can come up to enhance the agri-food supply chain performance by providing traceability, transparency, information security, transactions, and trust and quality. Further, the study reveals that blockchain will provide safety, lower the cost of transactions and can create trust among users to communicate within the whole supply chain without the intervention of a third party. This study demonstrated that the capabilities need to be considered when introducing technology into the practice.Research limitations/implications The study implies thought-provoking implications for bridging the theory-practice gap by examining the empirical data to demonstrate how the operational capabilities of blockchain technology further strengthen the agri-food supply chain. Additionally, this study provides some suggestions for utilizing the results and proposes a framework to understand more about blockchain use cases in the agri-food supply chain as well as extend the application of blockchain using an operational capability approach for future academic researchers in this area.Practical implicationsThis study presented some more important managerial implications which reveal that the majority of organisations were in the initial stages of adoption process of blockchain technology. Further, the positive influence of managers and IT experts can help the information technology companies (IT) and stakeholders for developing and promoting blockchain solutions in the agri-food supply chain. The important implication of blockchain enabled agri-food supply chain is to maintain information security and incresae supply chain performance. Originality/value The study shows the operational capabilities of agri-food supply chain using blockchain technology. Blockchain can contribute in enhancing the agri-food supply chain to increase traceability and transparency and helps to reduce the risk of disruptions.
Why are you in disaster studies? Liberating future scholars from oppressive disaster science
Authors: Marchezini Victor 
Published: November 2023

PurposeThe question of “why we are in disaster studies” can be essential to reflect on discourses and practices – as students, researchers and professors – in constituting an oppressive disaster science and finding ways to liberate from it.Design/methodology/approachThis paper is based on autobiographical research and institutional ethnography to observe and analyze the discourses and practices about career trajectories as students, researchers and professors in disaster studies.FindingsThe paper provides some categories, concepts, theoretical approaches and lived experiences helpful for discussing ways of liberating disaster studies, such as public sociology of disaster.Originality/valueFew papers have focused on professional trajectories in disaster studies, bringing insights from public sociology and questioning oppressive disaster science.
An analysis of space efficiency in Asian supertall towers
Authors: Ilgın Hüseyin Emre 
Published: November 2023

PurposeSupertall towers (300 m+) offer a viable solution to the increasing demand for housing and commercial space caused by rapid urban growth, migration from rural to urban areas and economic expansion in Asia. In this particular context, the efficient utilization of space becomes a crucial factor in the design process for Asian skyscrapers as they seek to address the changing socioeconomic landscape. This study will provide valuable guidance, especially to architectural and structural designers in the pursuit of sustainable development for Asian skyscrapers by analyzing space efficiency.Design/methodology/approachThe methodology employed in this paper involved a case study approach to gather data on 75 Asian supertall towers in order to examine space efficiency.FindingsFindings of the research can be summarized as follows: (1) the average space efficiency of these towers was 67.5%, ranging from a minimum of 55% to a maximum of 82%; (2) the average proportion of the core area to the gross floor area (GFA) was 29.5%, with values ranging from 14% to 38%; (3) the majority of Asian skyscrapers exhibited a tapered form and adopted a central core typology, which catered to mixed-use and office purposes; (4) the most frequently utilized structural system was a combination of composite and outriggered frames; (5) space efficiency tended to decrease as the height of the tower increased; and (6) there was no noteworthy difference in the impact of various load-bearing systems and building forms on space efficiency.Originality/valueThere is a noticeable lack of extensive research into space efficiency in supertall towers in Asia, which serves as a hub for skyscrapers. This study seeks to fill this substantial gap in the current scientific literature.
Educators' core competencies: a study of university-led B-schools of South Asia
Authors: Maheshkar Chandan 
Published: November 2023

PurposeThe study aimed to explore the core competencies that make educators competent in delivering and achieving the purpose of business/management education effectively.Design/methodology/approachAn exploratory-cum-descriptive approach has been used. Educators at different academic levels in university-led B-schools were the participants of this study. For data collection, a structured questionnaire was developed and implemented.FindingsThis study has explored ten core competencies that educators must possess. These competencies have been described based on their attributes and relevance in an educator's academic role.Research limitations/implicationsThis study was limited to university-led B-schools of South Asia, thus further validation may more adequately generalize the findings.Practical implicationsThis study is raising awareness of the current state of educators in university-led B-schools in South Asian countries and the need for educator competencies toward responsible management education. This study would help educators to develop core competencies, and university-led B-schools to make and manage a system for their educators to keep them competent and performing.Originality/valueBusiness/management education is expected to offer the required competencies and opportunities to learn the intricacies of business and management, so students can readily enter into corporate life. It exhibits the significance of educators' competencies. University-led South Asian institutions have seldom tried to develop a standardized framework for the sensitization and development of their educators. It is a key challenge to identify, understand and define a diverse range of competencies and methods of competency development.
Corporate climate change disclosures and capital structure strategies: evidence from Türkiye
Authors: Gahramanova Gultakin , Kutlu Furtuna Özlem 
Published: November 2023

PurposeThere has been an increase in research examining whether and how companies disclose climate change impacts and how these disclosures influence capital structure strategies in recent years. However, prior literature has generally focused on developed countries. This paper proposes to examine the impact of voluntary climate change disclosures on corporate financing decisions in an emerging economy.Design/methodology/approachThe dataset includes 335 firm-year observations listed in the Borsa Istanbul (BIST) 100 manufacturing industry firms that participated in the Carbon Disclosure Project (CDP) questionnaire from 2016 to 2020, characterized by high public awareness of greenhouse gas emissions in Turkey. To accomplish this aim, two models have been constructed that link capital structure strategies with voluntary corporate climate change disclosures while controlling for firm-level attributes in terms of size, profitability, market value and free float ratio (FFR).FindingsThe significant and negative relationship between the voluntary disclosure of climate-related activities and long-term borrowing is consistent with the arguments that companies with high commitments are unlikely to reduce default risk in emerging markets. This paper also provides empirical evidence that the high size and the level of low profitability magnify this relationship between CDP and financial leverage.Originality/valueThe Paris Agreement seems to be a significant point where corporate lenders have become aware of the commitment of policymakers to fight climate change. The results have significant implications for both managerial strategies and environmental regulatory policy-making issues. In addition, the findings shed light on the strategic behavior of managers in the consideration of climate change risks and related transparency.
Impact of geopolitical risk on tourism demand: evidence from asymmetric NARDL approach
Authors: Parray Waseem Ahmad , Soudager Mohammed Ayub , Dada Zubair Ahmad , Yasmin Effat , Darzi Tanveer Ahmad 
Published: November 2023

PurposeMany tourism academics have investigated the linkages between tourism, power and space; few have specifically addressed the profound links between tourism and geopolitics. In view of the restrictive assumptions of the linear framework used in the earlier studies, and hidden asymmetries present in the time series data. Against this backdrop, the study tries to find out how tourists may respond differently to favourable and unfavourable shocks in geopolitical risk (GPR).Design/methodology/approachIn order to capture this asymmetric nature of the problem, the study employs the non-linear autoregressive distributed lag (NARDL) model to evaluate data from 2001Q1 to 2019Q4.FindingsThe results show that both positive and negative shock to GPR does not produce results of equal magnitude. A positive shock to GPR has a more detrimental effect on foreign tourist arrivals (FTA) than a beneficial effect a negative shock produces. Besides this, the present study also looks at the effect of other macro-economic variables on FTA. An ascend in the real effective exchange rate (REER) i.e. appreciation of the domestic currency has an unfavourable impact on foreign visitor arrivals, while an increase in world gross domestic product amplify it. The results of the study are robust to alternative measures of the control variable.Practical implicationsThe study is significant for policymakers in understanding the short and long-run implications of GPR on FTA in India. The present study can assist policymakers, and destination managers to manage the external and internal risks and minimise the consequences of geopolitical threats on the Indian tourism industry. Consequently, destination managers can utilise the study's findings in calibrating their operations and designing crisis marketing strategies within the geopolitical dynamics of the Indian state.Originality/valueThe study tries to find out how tourists may exhibit distinct reactions to positive and negative disturbances in GPR. The study provides first-hand evidence of how GPR impacts tourism demand. The paper also includes the existing body of literature related to GPR factors and their effect on tourist influx, specifically in the framework of the Indian tourism sector.
New technologies in small business models: use of electric vehicles in last-mile delivery for fast-moving consumer goods
Authors: Toraman Yavuz , Bayirli Mehmet , Ramadani Veland 
Published: November 2023

PurposeThe share of fast-moving consumer goods (FMCG) in e-commerce has increased, particularly after COVID-19, alongside the growing volume of e-commerce transactions. The increased number of orders necessitates the optimization of delivery operations. This situation has made using different technologies in last-mile delivery processes necessary. Currently, used electric vehicles (EVs) play a significant role in integrating these technologies into delivery operations. Adapting to new technologies emerges as a critical need for small enterprises to survive in the face of advancing technologies. In this context, the main purpose of this paper is to examine and identify attitudes of small businesses toward EVs’ usage in last-mile delivery for FMCG.Design/methodology/approachThe theoretical frameworks commonly used in studies investigating new technologies, namely the theory of planned behavior (TPB) and technology acceptance model (TAM) have been employed. The analysis of the study was conducted using partial least squares-structural equation modeling (PLS-SEM) and the Smart PLS software package.FindingsWhen examining the results of the study, a significant and positive relationship was found between compatibility and enjoyment with perceived usefulness. Furthermore, a significant and positive relationship was identified between attitude toward use, perceived behavioral control and perceived usefulness. Ultimately, a strong relationship was found between intention, which is a precursor to active usage and attitude. Based on the obtained data, it can be concluded that EVs can be actively used in last-mile delivery in the future.Originality/valueIn FMCG processes in Türkiye, EVs are limitedly used in last-mile delivery operations. However, there are very few studies on the use of EVs in FMCG. Therefore, it is expected that the current research will contribute to the literature by providing information on the factors that influence the acceptance of EV usage and their implications. The TAM and TPB models were used in the current study.
Multi-objective optimization to specify optimal selective laser melting process parameters for SS316 L powder
Authors: Prasanth Kumar Reddy K. , Boggarapu Nageswara Rao , Narayana Murty S.V.S. 
Published: November 2023

PurposeThis paper adopts a modified Taguchi approach to develop empirical relationships to the performance characteristics (output responses) in terms of process variables and demonstrated their validity through comparison of test data. The method suggests a few tests as per the orthogonal array and provides complete information for all combinations of levels and process variables. This method also provides the estimated range of output responses so that the scatter in the repeated tests can be assessed prior to the tests.Design/methodology/approachIn order to obtain defect-free products meeting the required specifications, researchers have conducted extensive experiments using powder bed fusion (PBF) process measuring the performance indicators (namely, relative density, surface roughness and hardness) to specify a set of printing parameters (namely, laser power, scanning speed and hatch spacing). A simple and reliable multi-objective optimization method is considered in this paper for specifying a set of optimal process parameters with SS316 L powder. It was reported that test samples printed even with optimal set of input variables revealed irregular shaped, microscopic porosities and improper melt pool formation.FindingsFinally, based on detailed analysis, it is concluded that it is impossible to express the performance indicators, explicitly in terms of equivalent energy density (E_0ˆ*), which is a combination of multiple sets of selective laser melting (SLM) process parameters, with different performance indicators. Empirical relations for the performance indicators are developed in terms of SLM process parameters. Test data are within/close to the expected range.Practical implicationsBased on extensive analysis of the SS316 L data using modified Taguchi approach, the optimized process parameters are laser power = 298 W, scanning speed = 900 mm/s and hatch distance = 0.075 mm, for which the results of surface roughness = 2.77 Ra, relative density = 99.24%, hardness = 334 Hv and equivalent energy density is 4.062. The estimated data for the same are surface roughness is 3.733 Ra, relative density is 99.926%, hardness is 213.64 Hv and equivalent energy density is 3.677.Originality/valueEven though equivalent energy density represents the energy input to the process, the findings of this paper conclude that energy density should no longer be considered as a dependent process parameter, as it provides multiple results for the specified energy density. This aspect has been successfully demonstrated in this paper using test data.
Powering the transition: examining factors influencing the intention to adopt electric vehicles
Authors: Thakur Anand , Krishnan K Jithin , Ansari Alisha 
Published: November 2023

Purpose The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).Design/methodology/approach The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.Findings The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.Research limitations/implications The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.Originality/value This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.
Intracoronal tooth bleaching – A review and treatment guidelines
Authors: Amer M 
Published: November 2023

ABSTRACTIntracoronal bleaching is a minimally invasive procedure that was introduced into dentistry in the 19th century. The role of that procedure in enhancing the colour of teeth subjected to internal discolouration while being conservative made it extremely popular amongst dental professionals. Different materials and techniques have been utilized over the years attempting to obtain predictable long‐term results while minimizing any associated risks. Contemporarily, bleaching agents are mainly based on peroxide‐releasing compounds in different formulations and delivery systems. Different theories have been formulated on the bleaching mechanism of such agents, but the exact mechanism is yet to be proven. The effect of hydrogen peroxide‐based bleaching agents on the organic structure of enamel and dentine has been extensively investigated to address the effects of bonding of resin‐based restorative materials to hard tooth structure. Multiple case reports raised a concern about the contribution of intracoronal bleaching in developing invasive root resorption. Modification of intracoronal bleaching techniques was thus necessary to address such concerns. This review will provide a summary of the important aspects of intracoronal bleaching, focusing on how it applies to the contemporary clinical setting. © 2023 Australian Dental Association.
Real‐time OXPHOS capacity analysis in wounded skin from diabetic mice: A pilot study
Authors: Pinho Aryane Cruz Oliveira , Santos Diana , Oliveira Paulo J. , Leal Ermelindo Carreira , Carvalho Eugenia 
Published: November 2023

AbstractIntroductionDiabetes mellitus (DM) impairs wound healing. The aim was to determine whether DM influences mitochondrial respiration in wounded skin (WS) and non‐wounded skin (NWS), in a pre‐clinical wound healing model of streptozotocin (STZ)‐induced diabetes.MethodsSix weeks after diabetes induction, two wounds were created in the back of C57BL/J6 mice. Using high‐resolution respirometry (HRR), oxygen flux was measured, in WS and NWS, using two substrate‐uncoupler‐inhibitor titration protocols, at baseline (day 0), day 3 and 10 post‐wounding, in STZ‐DM and non‐diabetic (NDM) mice. Flux control ratios for the oxidative phosphorylation (OXPHOS) capacity were calculated.ResultsA significant increase in mitochondrial respiration was observed in STZ‐DM skin compared to control skin at baseline. The OXPHOS capacity was decreased in WS under diabetes at day 3 post‐wounding (inflammation phase). However, at day 10 post‐wounding (remodeling phase), the OXPHOS capacity was higher in WS from STZ‐DM compared to NDM mice, and compared to NWS from STZ‐DM mice. A significant relative contribution of pyruvate, malate and glutamate (PMG) oxidation to the OXPHOS capacity was observed in WS compared to NWS from STZ‐DM mice, at day 10, while the relative contribution of fatty acid oxidation to the OXPHOS capacity was higher in NWS. The OXPHOS capacity is altered in WS from STZ‐DM compared to NDM mice across the healing process, and so is the substrate contribution in WS and NWS from STZ‐DM mice, at each time point.ConclusionHRR may be a sensitive tool to evaluate the underlying mechanisms of tissue repair during wound healing.