bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coupling of BGK lattice Boltzmann method and experimental rheological/thermal behavior of Al2O3–oil nanolubricant for modeling of a finned thermal storage
Authors: Aqeel Ashraf Muhammad , Liu Zhenling , Hasani Malekshah Emad , Kolsi Lioua , Kadhim Hussein Ahmed 
Published: January 2022

Purpose
The purpose of the present work is to investigate the hydrodynamic and thermal performance of a thermal storage based on the numerical and experimental approaches using the lattice Boltzmann method and the experimental observation on the thermo-physical properties of the operating fluid.

Design/methodology/approach
For this purpose, the Al2O3 nanoparticle is added to the lubricant with four nanoparticle concentrations, including 0.1, 0.2, 0.4 and 0.6Vol.%. After preparing the nanolubricant samples, the thermal conductivity and dynamic viscosity of nanolubricant are measured using thermal analyzer and viscometer, respectively. Finally, the extracted data are used in the numerical simulation using provided correlations. In the numerical process, the lattice Boltzmann equations based on Bhatnagar–Gross Krook model are used. Also, some modifications are applied to treat with the complex boundary conditions. In addition, the second law analysis is used based on the local and total views.

Findings
Different types of results are reported, including the flow structure, temperature distribution, contours of local entropy generation, value of average Nusselt number, value of entropy generation and value of Bejan number.

Originality/value
The originality of this work is combining a modern numerical methodology with experimental data to simulate the convective flow for an industrial application.
The impact of AI-enabled service attributes on service hospitableness: the role of employee physical and psychological workload
Authors: Qiu Hailian , Li Minglong , Bai Billy , Wang Ning , Li Yingli 
Published: January 2022

Purpose
Hospitableness lies in the center of hospitality services. With the infusion of artificial intelligence (AI) technology in the hospitality industry, managers are concerned about how AI influences service hospitableness. Previous research has examined the consequences of AI technology based on customers’ assessment while ignoring the key players in service hospitableness – frontline employees (FLEs). This study aims to reveal how AI technology empowers FLEs physically, mentally and emotionally, facilitating hospitableness provision.

Design/methodology/approach
As the starting point, the instrument for AI-enabled service attributes was designed based on previous literature, hotel FLE interviews, expert panel and a pilot survey, and then validated using survey data. After that, a paired supervisor-employee sample was recruited in 15 hotels, and 342 valid questionnaires covering the constructs were obtained.

Findings
Factor analyses and measurement model evaluation suggest that the four factors, including anthropomorphic, entertainment, functional and information attributes, explain the construct of AI-enabled service attributes well, with high reliability and validity. Additionally, anthropomorphic, functional and information attributes of AI technology have been found to enable FLEs physically, mentally and emotionally, which further lead to increased service hospitableness. The entertainment attributes do not significantly reduce physical and mental fatigue but lead to positive emotions of FLEs significantly. Additionally, psychological job demand moderates the effects of AI-enabled service attributes on physical fatigue.

Practical implications
Practical implications can be made for AI technology application and hospitableness provision, in terms of AI technology analysis, job design and employee workload management.

Originality/value
This research contributes to understanding AI-enabled service attributes and their consequences, extends the conservation of resources theory to AI application context and promotes the research on service hospitableness.
Mediating-moderating effect of employee creativity and team potency on expatriate innovative work behaviour
Authors: AlMazrouei Hanan , Zacca Robert , Mustafa Ghulam 
Published: January 2022

Purpose
This study aims to investigate how learning goal orientation (LGO), participative decision-making (PDM) and leadership member exchange (LMX) influence innovative work behaviour (IWB) through expatriate employee creativity (EC). This research study further contributes to the extant literature by investigating team potency’s (TP) potential interaction effect on the expatriate EC–IWB relationship.

Design/methodology/approach
Data were gathered via survey from 175 expatriate employees in non-managerial positions in the United Arab Emirates. Partial least square structural equation modelling was used for analysing the collected data.

Findings
The statistical results show that PDM, LGO and LMX have a direct positive impact on IWB. The statistical findings also reveal that EC mediates the LGO and IWB relationship. Furthermore, TP has a significant positive moderating effect on the EC and IWB relationship.

Originality/value
This work adds to the literature in the field on innovation work behaviour and its antecedents by analysing data within the expatriate employee context, where empirical examinations are limited.
Identifying stakeholders’ perspectives on the success factors of halal tourism in the city of Makassar: a group model building approach
Authors: Huda Nurul , Gani Ariel Nian , Rini Nova , Rizky Tiko Dhafin , Ichsan Lazuardi 
Published: January 2022

Purpose
Islamic attributes and activities need to be developed in compliance with the halal concept to attract potential Muslim tourists and ensure the success of halal tourism. Although the literature shows that many factors can influence the success of halal tourism, a complete picture of the success factors of halal tourism in a city is still very limited. As such, this explorative study aims to examine stakeholders’ perspectives regarding the antecedents of halal tourism success and the benefits of halal tourism for the city.

Design/methodology/approach
Qualitative system dynamics modeling was used for this study, and Makassar (a successful halal tourism city) was considered as the basis for the study. A causal loop diagram (CLD) of halal tourism was developed using the group model building technique to elicit stakeholders’ knowledge and assumptions. Network analysis and feedback loop analysis were used to identify the driving factors of successful halal tourism.

Findings
Two factors need to be taken into account by halal tourism stakeholders in the city: support from the central and local government and improving and maintaining potential tourists’ perceptions of the city. There are four benefits of halal tourism success for the city: an increase in the number of micro-, small- and medium-sized halal businesses in the city, increased support from the central and local government to further develop halal tourism infrastructure in the city, increased word-of-mouth promotion of Makassar as a tourism destination and a decrease in the price of halal tourism components (e.g. food and accommodation).

Originality/value
The resulting CLD shows the interlinkage between political, societal and economical factors that could influence the success of halal tourism development. In particular, the findings show how governments and tourism stakeholders need to promote halal tourism socialization in the community and improve the public perception of this type of tourism. Therefore, the findings can help destination stakeholders and tourism developers in other cities develop halal tourism potential.
Assessing the factors affecting implementation of unmanned aerial vehicles in Indian humanitarian logistics: a g-DANP approach
Authors: Kamat Aditya , Shanker Saket , Barve Akhilesh 
Published: January 2022

Purpose
The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector.

Design/methodology/approach
This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further.

Findings
This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics.

Practical implications
The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain.

Originality/value
This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.
Mapping the quantity, quality and structural indicators of Asian (48 countries and 3 territories) research productivity on cloud computing
Authors: Awan Waqar Ahmad , Abbas Akhtar 
Published: January 2022

PurposeThe purpose of this study was to map the quantity (frequency), quality (impact) and structural indicators (correlations) of research produced on cloud computing in 48 countries and 3 territories in the Asia continent.Design/methodology/approachTo achieve the objectives of the study and scientifically map the indicators, data were extracted from the Scopus database. The extracted bibliographic data was first cleaned properly using Endnote and then analyzed using Biblioshiny and VosViewer application software. In the software, calculations include citations count;h,gandmindexes; Bradford's and Lotka's laws; and other scientific mappings.FindingsResults of the study indicate that China remained the most productive, impactful and collaborative country in Asia. All the top 20 impactful authors were also from China. The other most researched areas associated with cloud computing were revealed to be mobile cloud computing and data security in clouds. The most prominent journal currently publishing research studies on cloud computing was “Advances in Intelligent Systems and Computing.”Originality/valueThe study is the first of its kind which identified the quantity (frequencies), quality (impact) and structural indicators (correlations) of Asian (48 countries and 3 territories) research productivity on cloud computing. The results are of great importance for researchers and countries interested in further exploring, publishing and increasing cross country collaborations related to the phenomenon of cloud computing.
Changes in the effect of corporate tax avoidance on the cost of debt over the past 25 years
Authors: Lee Sungsil 
Published: January 2022

Purpose
This study aims to examine how the effect of corporate tax avoidance on the cost of debt has changed in the period 1993–2017. Although it is known that tax avoidance has significantly increased during this period (Dyreng et al., 2017), little evidence exists on how this change alters the effect of tax avoidance on the cost of debt. This study investigates how changes in tax avoidance modify the association between tax avoidance and the cost of debt.

Design/methodology/approach
By using a comprehensive sample of 15,825 loan facilities issued to US public firms in the period 1993–2017, this study tests the time-series changes in the association between tax avoidance and the cost of debt.

Findings
This study finds that a positive association between tax avoidance and the cost of debt has been declined over the past 25 years. Accordingly, tax avoidance in general no longer increases the loan spread after the enactment of domestic production activities deduction. However, the risker end of tax avoidance does still increase the loan spread.

Originality/value
This study spotlights the time-series changes in the effect of corporate tax avoidance on the cost of debt, showing how lenders perception on corporate tax avoidance has altered in accordance with changes in corporate tax practice.
Transient thermal finite-element analysis of fused filament fabrication process
Authors: Nahar Chitralekha , Gurrala Pavan Kumar 
Published: January 2022

Purpose
The thermal behavior at the interfaces (of the deposited strands) during fused filament fabrication (FFF) technique strongly influences bond formation and it is a time- and temperature-dependent process. The processing parameters affect the thermal behavior at the interfaces and the purpose of the paper is to simulate using temperature-dependent (nonlinear) thermal properties rather than constant properties.

Design/methodology/approach
Nonlinear temperature-dependent thermal properties are used to simulate the FFF process in a simulation software. The finite-element model is first established by comparing the simulation results with that of analytical and experimental results of acrylonitrile butadiene styrene and polylactic acid. Strand temperature and time duration to reach critical sintering temperature for the bond formation are estimated for one of the deposition sequences.

Findings
Temperatures are estimated at an interface and are then compared with the experimental results, which shows a close match. The results of the average time duration (time to reach the critical sintering temperature) of strands with the defined deposition sequences show that the first interface has the highest average time duration. Varying processing parameters show that higher temperatures of the extruder and envelope along with higher extruder diameter and lower convective heat transfer coefficient will have more time available for bonding between the strands.

Originality/value
A novel numerical model is developed using temperature-dependent (nonlinear) thermal properties to simulate FFF processes. The model estimates the temperature evolution at the strand interfaces. It helps to evaluate the time duration to reach critical sintering temperature (temperature above which the bond formation occurs) as it cools from extrusion temperature.
Coenzyme B12‐dependent and independent photoregulation of carotenogenesis across Myxococcales
Authors: Pérez‐Castaño Ricardo , Bastida‐Martínez Eva , Fernández‐Zapata Jesús , Polanco María del Carmen , Galbis‐Martínez María Luisa , Iniesta Antonio A. , Fontes Marta , Padmanabhan S. , Elías‐Arnanz Montserrat 
Published: January 2022

SummaryLight‐induced carotenogenesis in Myxococcus xanthus is controlled by the B12‐based CarH repressor and photoreceptor, and by a separate intricate pathway involving singlet oxygen, the B12‐independent CarH paralogue CarA and various other proteins, some eukaryotic‐like. Whether other myxobacteria conserve these pathways and undergo photoregulated carotenogenesis is unknown. Here, comparative analyses across 27 Myxococcales genomes identified carotenogenic genes, albeit arranged differently, with carH often in their genomic vicinity, in all three Myxococcales suborders. However, CarA and its associated factors were found exclusively in suborder Cystobacterineae, with carA‐carH invariably in tandem in a syntenic carotenogenic operon, except for Cystobacter/Melittangium, which lack CarA but retain all other factors. We experimentally show B12‐mediated photoregulated carotenogenesis in representative myxobacteria, and a remarkably plastic CarH operator design and DNA binding across Myxococcales. Unlike the two characterized CarH from other phyla, which are tetrameric, Cystobacter CarH (the first myxobacterial homologue amenable to analysis in vitro) is a dimer that combines direct CarH‐like B12‐based photoregulation with CarA‐like DNA binding and inhibition by an antirepressor. This study provides new molecular insights into B12‐dependent photoreceptors. It further establishes the B12‐dependent pathway for photoregulated carotenogenesis as broadly prevalent across myxobacteria and its evolution, exclusively in one suborder, into a parallel complex B12‐independent circuit.
The emergence of disease‐preventing bacteria within the plant microbiota
Authors: Cernava Tomislav , Berg Gabriele 
Published: January 2022

SummaryMicrobiome studies have facilitated the discovery of harmful as well as beneficial microorganisms over the last years. Recently, distinct bacteria were found within the microbiota of crop plants that confer disease resistance to their hosts. Although it is well known that the interplay between microbes and plants can result in improved plant health, the phenomenon of holistically disease‐preventing bacteria is new. Here, we put the recent discoveries of disease‐preventing bacteria in context with decade‐long plant microbiome research that has preceded them. In addition, we provide explanations as to why disease resistance in certain plants, mediated by specific bacteria, has only recently been discovered. We argue that such findings were primarily limited by technological constraints and that analogous findings are very likely to be made with other plant species. The general concept may even be extendable to additional groups of organisms. We, therefore, suggest the introduction of the specific term soterobiont in order to facilitate an unambiguous definition of disease‐preventing microorganisms within the microbiota of higher organisms.
Identification of the polymer‐bounded drugs on the fabric surface: A challenge to the forensic drug analysts
Authors: Akhtar Shahnaz , Razaq Abdul , Faras Khalid Sajjad , Ashiq Muhammad Irfan , Tahir Mohammad Ashraf 
Published: January 2022

AbstractDrug trafficking through concealment has always been a method of choice for drug traffickers all around the world. This case shares a new trend in the smuggling of illicit drugs by applying a coating of drug and polymer mixture on fabric. A white fabric sample was submitted by a law enforcement agency to detect the presence of any explosive material on its surface. Later on it was also tested for illicit drugs. Stereomicroscope and Scanning Electron Microscope/Energy Dispersive X‐ray Detector (SEM/EDX) were applied for microscopic examination. Acetone extract of the sample was analyzed for explosives by explosive detection kit, Gas Chromatography Mass Spectrometry (GCMS), and Fourier Transform Infrared Spectroscopy (FTIR). The routine method involving methanol as solvent was used to check heroin presence. Methanol extract of the sample was analyzed by Mecke test and GCMS. Stereomicroscope and SEM/EDX revealed the presence of some unusual coating on one side of fabric. No explosive material was detected; instead GCMS (method 1) confirmed the presence of heroin (mass fragments 268, 310, 327, and 369 m/z) and FTIR spectrum revealed presence of a polymeric material (dyneema). No drug was identified by GCMS (method 2). Method 2 was modified by replacing methanol with acetone and including an additional step of sonication for 30 min. Acetone extract showed green color with Mecke reagent and a strong signal of heroin on GCMS. This modified extraction method acted well to unbind the coated material from the fabric and to disentangle the drug from the polymer.
Impact of Real‐Time Satellite‐Derived Green Vegetation Fraction on National Water Model Fluxes in Humid Alabama Watersheds
Authors: Elmer Nicholas J. , Mecikalski John R. , Molthan Andrew L. , Gochis David J. , Nair Udaysankar 
Published: January 2022

AbstractVegetation is parameterized in the operational National Oceanic and Atmospheric Administration National Water Model (NWM) using climatologies of leaf area index and green vegetation fraction (GVF) which do not capture interannual variability or seasonal anomalies. This study investigates the impact of assimilating real‐time Visible Infrared Imaging Radiometer Suite (VIIRS) GVF on NWM streamflow and land surface energy and moisture fluxes. Using a subset of the NWM over three humid watersheds in Alabama, VIIRS GVF was assimilated into an experimental NWM configuration to replace the default GVF climatology to provide a more accurate representation of the land surface vegetation greenness. Although the use of real‐time VIIRS GVF in place of the climatological GVF slightly improved NWM stream‐flow prediction, results were not statistically significant. GVF assimilation also improved the interannual representation of land surface fluxes with increases in GVF resulting in increased evapotranspiration and latent heat.
The international WAO/EAACI guideline for the management of hereditary angioedema—The 2021 revision and update
Authors: Maurer Marcus , Magerl Markus , Betschel Stephen , Aberer Werner , Ansotegui Ignacio J. , Aygören‐Pürsün Emel , Banerji Aleena , Bara Noémi‐Anna , Boccon‐Gibod Isabelle , Bork Konrad , Bouillet Laurence , Boysen Henrik Balle , Brodszki Nicholas , Busse Paula J. , Bygum Anette , Caballero Teresa , Cancian Mauro , Castaldo Anthony , Cohn Danny M. , Csuka Dorottya , Farkas Henriette , Gompels Mark , Gower Richard , Grumach Anete S. , Guidos‐Fogelbach Guillermo , Hide Michihiro , Kang Hye‐Ryun , Kaplan Allen Phillip , Katelaris Constance , Kiani‐Alikhan Sorena , Lei Wei‐Te , Lockey Richard , Longhurst Hilary , Lumry William R. , MacGinnitie Andrew , Malbran Alejandro , Martinez Saguer Inmaculada , Matta Juan José , Nast Alexander , Nguyen Dinh , Nieto‐Martinez Sandra A. , Pawankar Ruby , Peter Jonathan , Porebski Grzegorz , Prior Nieves , Reshef Avner , Riedl Marc , Ritchie Bruce , Rafique Sheikh Farrukh , Smith William B. , Spaeth Peter J. , Stobiecki Marcin , Toubi Elias , Varga Lilian Agnes , Weller Karsten , Zanichelli Andrea , Zhi Yuxiang , Zuraw Bruce , Craig Timothy 
Published: January 2022

AbstractHereditary angioedema (HAE) is a rare and disabling disease for which early diagnosis and effective therapy are critical. This revision and update of the global WAO/EAACI guideline on the diagnosis and management of HAE provides up‐to‐date guidance for the management of HAE. For this update and revision of the guideline, an international panel of experts reviewed the existing evidence, developed 28 recommendations, and established consensus by an online DELPHI process. The goal of these recommendations and guideline is to help physicians and their patients in making rational decisions in the management of HAE with deficient C1 inhibitor (type 1) and HAE with dysfunctional C1 inhibitor (type 2), by providing guidance on common and important clinical issues, such as: (1) How should HAE be diagnosed? (2) When should HAE patients receive prophylactic on top of on‐demand treatment and what treatments should be used? (3) What are the goals of treatment? (4) Should HAE management be different for special HAE patient groups such as children or pregnant/breast‐feeding women? and (5) How should HAE patients monitor their disease activity, impact, and control? It is also the intention of this guideline to help establish global standards for the management of HAE and to encourage and facilitate the use of recommended diagnostics and therapies for all patients.