bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual solutions of unsteady two-dimensional electro-magneto-hydrodynamics (EMHD) axisymmetric stagnation-point flow of a hybrid nanofluid past a radially stretching/shrinking Riga surface with radiation effect
Authors: Khashi’ie Najiyah Safwa , Waini Iskandar , Arifin Norihan Md , Pop Ioan 
Published: August 2022

Purpose
This paper aims to analyse numerically the unsteady stagnation-point flow of Cu-Al2O3/H2O hybrid nanofluid towards a radially shrinking Riga surface with thermal radiation.

Design/methodology/approach
The governing partial differential equations are transformed into a set of ordinary (similar) differential equations by applying appropriate transformations. The numerical computation of these equations including the stability analysis is conducted using the bvp4c solver.

Findings
Two solutions are possible within the allocated interval: shrinking parameter, unsteadiness decelerating parameter, electro-magneto-hydrodynamics (EMHD) parameter, nanoparticles volumetric concentration, radiation parameter and width parameter, whereas the stability analysis certifies that the first (upper branch) solution, which fulfills the boundary conditions is the physical/real solution. The EMHD parameter generated from the application of Riga plate enhances the skin friction coefficient as well as the heat transfer process. The width parameter d is also one of the factors in the deterioration of the skin friction coefficient and heat transfer rate. It is crucial to control the width parameter of the magnets and electrodes to obtain the desired outcome. The radiation parameter is not affecting the boundary layer separation because the critical values are unchanged. However, the addition of radiation and unsteadiness decelerating parameters boosts the thermal rate.

Originality/value
The results are novel and contribute to the discovery of the flow and thermal performance of the hybrid nanofluid subjected to a radially shrinking Riga plate. Besides, this work is beneficial to the other researchers and general audience from industries regarding the factors which contribute to the thermal enhancement of the working fluid.
The impact of exploitative leadership on hospitality employees’ proactive customer service performance: a self-determination perspective
Authors: Sun Zhuanzhuan , Wu Long-Zeng , Ye Yijiao , Kwan Ho Kwong 
Published: August 2022

Purpose
Based on self-determination theory, this research paper aims to explore the implication of exploitative leadership for hospitality employees’ proactive customer service performance (PCSP) via harmonious passion for work (HPFW) and the moderating mechanism of power distance.

Design/methodology/approach
The authors’ sample included a total of 207 leader–follower dyads from three Chinese hotels. Hierarchical multiple regression and the PROCESS macro were used to analyze the data.

Findings
The results indicated that exploitative leadership has a negative indirect relationship with hospitality employees’ PCSP through decreased HPFW, and power distance plays a protective role of alleviating the negative implications of exploitative leadership for hospitality employees’ HPFW and PCSP.

Practical implications
Hotels are suggested to develop strict codes of conduct and adopt zero-tolerance policies for exploitative leadership. Additionally, hotels should also act to improve employees’ HPFW and pay attention to low-power-distance employees.

Originality/value
This research enriches exploitative leadership literature by investigating its effect on PCSP. Further, this research investigates HPFW as a mechanism linking exploitative leadership to PCSP. Finally, this research establishes the relationships among exploitative leadership, HPFW and PCSP by investigating the contingent impact of power distance.
Daily hotel demand forecasting with spatiotemporal features
Authors: Huang Liyao , Li Cheng , Zheng Weimin 
Published: August 2022

Purpose
Given the importance of spatial effects in improving the accuracy of hotel demand forecasting, this study aims to introduce price and online rating, two critical factors influencing hotel demand, as external variables into the model, and capture the spatial and temporal correlation of hotel demand within the region.

Design/methodology/approach
For high practical implications, the authors conduct the case study in Xiamen, China, where the hotel industry is prosperous. Based on the daily demand data of 118 hotels before and during the COVID-19 period (from January to June 2019 and from January to June 2021), the authors evaluate the prediction performance of the proposed innovative model, that is, a deep learning-based model, incorporating graph convolutional networks (GCN) and gated recurrent units.

Findings
The proposed model simultaneously predicts the daily demand of multiple hotels. It effectively captures the spatial-temporal characteristics of hotel demand. In addition, the features, price and online rating of competing hotels can further improve predictive performance. Meanwhile, the robustness of the model is verified by comparing the forecasting results for different periods (during and before the COVID-19 period).

Practical implications
From a long-term management perspective, long-term observation of market competitors’ rankings and price changes can facilitate timely adjustment of corresponding management measures, especially attention to extremely critical factors affecting forecast demand, such as price. While from a short-term operational perspective, short-term demand forecasting can greatly improve hotel operational efficiency, such as optimizing resource allocation and dynamically adjusting prices. The proposed model not only achieves short-term demand forecasting, but also greatly improves the forecasting accuracy by considering factors related to competitors in the same region.

Originality/value
The originalities of the study are as follows. First, this study represents a pioneering attempt to incorporate demand, price and online rating of other hotels into the forecasting model. Second, integrated deep learning models based on GCN and gated recurrent unit complement existing predictive models using historical data in a methodological sense.
Deep learning applications in manufacturing operations: a review of trends and ways forward
Authors: Sahoo Saumyaranjan , Kumar Satish , Abedin Mohammad Zoynul , Lim Weng Marc , Jakhar Suresh Kumar 
Published: August 2022

PurposeDeep learning (DL) technologies assist manufacturers to manage their business operations. This research aims to present state-of-the-art insights on the trends and ways forward for DL applications in manufacturing operations.Design/methodology/approachUsing bibliometric analysis and the SPAR-4-SLR protocol, this research conducts a systematic literature review to present a scientific mapping of top-tier research on DL applications in manufacturing operations.FindingsThis research discovers and delivers key insights on six knowledge clusters pertaining to DL applications in manufacturing operations: automated system modelling, intelligent fault diagnosis, forecasting, sustainable manufacturing, environmental management, and intelligent scheduling.Research limitations/implicationsThis research establishes the important roles of DL in manufacturing operations. However, these insights were derived from top-tier journals only. Therefore, this research does not discount the possibility of the availability of additional insights in alternative outlets, such as conference proceedings, where teasers into emerging and developing concepts may be published.Originality/valueThis research contributes seminal insights into DL applications in manufacturing operations. In this regard, this research is valuable to readers (academic scholars and industry practitioners) interested to gain an understanding of the important roles of DL in manufacturing operations as well as the future of its applications for Industry 4.0, such as Maintenance 4.0, Quality 4.0, Logistics 4.0, Manufacturing 4.0, Sustainability 4.0, and Supply Chain 4.0.
The role of knowledge management in the tourism sector: a synthesis and way forward
Authors: Anand Amitabh , Shantakumar Varsha Pratibha , Muskat Birgit , Singh Sanjay Kumar , Dumazert Jean-Pierre , Riahi Youssra 
Published: August 2022

Purpose
This study aims to explore and synthesize the role of knowledge management (KM) in tourism organizations (including micro, small, medium and large enterprises and destination management organizations).

Design/methodology/approach
This study adopts systematic review methods to synthesize the role of KM in tourism from 90 journal articles.

Findings
This study identifies the prominent theories adopted to explore the relation and impact of KM in the tourism sector, the geographic distribution of the literature and thorough qualitative synthesis. This study identifies the critical research themes investigated and the outcome of KM applications. Finally, through reviews, this study identifies critical gaps in the literature and offer promising avenues to advance the KM in tourism research.

Originality/value
This is one of the few papers that comprehensively review the role of KM in the tourism industry and offer implications.
Glocalizing tourism in Southeastern Nigeria: residents’ perspectives
Authors: Eyisi Afamefuna Paul , Okonkwo Emeka Emmanuel 
Published: August 2022

PurposeThe purpose of this paper is to explore and understand the perceptions of residents of Southeastern Nigeria about glocalizing tourism in the region to help improve their support for the sustainability of the industry. Emphasis is laid on their expectations and strategies to maximize the positive impacts while minimizing the negative aspects in a bid to address their specific local needs.Design/methodology/approachThis paper adopts an ethnographic approach to explore the perspectives of key stakeholders in Southeastern Nigeria's tourism industry. These include traditional rulers, men, women and youth representatives, chief priests and local security agents. Decision-making theory is adopted to frame the study.FindingsThe findings identified residents' expectations from glocalizing tourism. They see tourism as an avenue for initiating community projects, creating jobs, patronizing farm produces, reviving cultural practices and addressing religious crises.Research limitations/implicationsThis research focused only on selected communities within Southeastern Nigeria. The implication is that the findings do not represent what obtains in other communities within the region. Future research should extend to these areas to have a deeper understanding of how residents perceive the glocalization of tourism.Practical implicationsAs the government and developers continue to invest in the tourism industry in the study area, glocalization could be a good way to address specific local needs and gain residents' support in the future.Originality/valueThis paper represents a new research approach for understanding the perceptions of residents about the Nigerian tourism industry.
Directors’ and officers’ liability insurance and accounting conservatism: empirical evidence from China
Authors: Jia Wanjiao , Bi Shuoshuo , Du Yingjie 
Published: August 2022

PurposeThis study analyses Chinese data to revisit the relationship between directors’ and officers’ (D&O) insurance and accounting conservatism, aiming to investigate the impact of investors’ legal protection on the function of D&O insurance.Design/methodology/approachThe study sample included all A-share firms listed on the Shanghai and Shenzhen Stock Exchanges from 2006 to 2019. Multiple regression was used to investigate the association between D&O insurance and accounting conservatism. The Heckman two-stage model and the propensity score matching method were used to check the robustness of the main results.FindingsD&O insured companies exhibited greater accounting conservatism. The higher the indemnity limit, the more conservative a firm’s earnings reporting. The positive correlation was stronger when investor protection was relatively weak. The impact of D&O insurance on accounting conservatism was stronger for companies with weaker internal or external supervision mechanisms.Originality/valueThe study findings show that D&O insurance plays a positive role in the governance of listed companies when investors’ legal protection is weak, which supports the effective supervision hypothesis of D&O insurance.
Antidepressants promote the spread of antibiotic resistance via horizontally conjugative gene transfer
Authors: Ding Pengbo , Lu Ji , Wang Yue , Schembri Mark A. , Guo Jianhua 
Published: August 2022

AbstractAntibiotic resistance is a global concern threatening public health. Horizontal gene transfer (HGT) between bacterial species contributes greatly to the dissemination of antibiotic resistance. Conjugation is one of the major HGT pathways responsible for the spread of antibiotic resistance genes (ARGs). Antidepressant drugs are commonly prescribed antipsychotics for major depressive disorders and are frequently detected in aquatic environments. However, little is known about how antidepressants stress bacteria and whether such effect can promote conjugation. Here, we report that commonly prescribed antidepressants, sertraline, duloxetine, fluoxetine, and bupropion, can promote the conjugative transfer of plasmid‐borne multidrug resistance genes carried by environmentally and clinically relevant plasmids. Noteworthy, the transfer of plasmids across bacterial genera is significantly enhanced by antidepressants at clinically relevant concentrations. We also reveal the underlying mechanisms of enhanced conjugative transfer by employing flow cytometric analysis, genome‐wide RNA sequencing and proteomic analysis. Antidepressants induce the production of reactive oxygen species and the SOS response, increase cell membrane permeability, and upregulate the expression of conjugation relevant genes. Given the contribution of HGT in the dissemination of ARGs, our findings highlight the importance of prudent prescription of antidepressants and to the potential connection between antidepressants and increasing antibiotic resistance.
Comparative analysis of fetal pig decomposition processes in burials of variable depths and wrapping
Authors: Hill Megan A. , Pokines James T. 
Published: August 2022

AbstractThis research examined the effects that the variables of burial depth and presence of plastic wrapping had on the decomposition rate of fetal pig (Sus scrofa) remains in a New England environment. The decomposition of 56 fetal pigs was observed in four independent variable groups: 20 cm depth unwrapped, 20 cm wrapped, 60 cm unwrapped, and 60 cm wrapped, with exhumation at months 1, 2, 3, 6, 9, 12, and 18. The authors hypothesized that the rate of decay would be slower for wrapped remains and/or for remains at a greater burial depth. Analysis of these remains consisted of preburial and postburial mass, adipocere coverage, skeletal exposure, and decomposition quantified as Total Body Score (TBS). The difference between preburial and postburial mass was reported as a loss percentage to account for varying preburial masses. Wrapping was a significant influencer of mass loss percentage, with p = 0.0298 but not for the TBS, with p = 0.17565. Burial depth did not have a significant effect on either mass loss percentage or TBS, with p = 0.1956 and 0.08969, respectively. This study suggests that wrapping has a greater influence on decomposition patterns than burial depth in this environment, particularly the mass loss percentage. It is suggested that there are limitations with the use of TBS in Postmortem Interval (PMI) estimation, such as variable burial conditions and body characteristics.
Seasonal impact of scavenger guilds as taphonomic agents in central and northern Ontario, Canada
Authors: Forbes Shari L. , Samson Clifford , Watson Christopher J. 
Published: August 2022

AbstractThe process of human decomposition is driven by biological decomposers, mainly bacteria, vertebrates, and invertebrate scavengers. When vertebrate scavengers have access to a body, they can considerably accelerate decomposition through consumption of soft tissue and dispersal of skeletal elements. Presently, there are limited data available on vertebrate scavenging activity in Canada, particularly in densely populated provinces such as Ontario. This study aimed to determine which vertebrate species belong to the scavenger guilds in central and northern Ontario, and the impact of season and habitat on these taphonomic agents. Seasonal trials were conducted in summer, fall, and spring of 2020/2021 with pig carcasses placed in open (grassland) and closed (forest) sites. Vertebrate scavenger activity was recorded continuously using cellular and non‐cellular trail cameras. Photographs were analyzed to identify species, quantify feeding intensity, and document scavenging behavior. We identified four mammalian scavengers, namely coyote, red fox, fisher, and pine marten, and three avian scavengers, namely bald eagle, turkey vulture, and American crows/northern ravens (grouped as corvids) across the trials. Season impacted scavenger presence with feeding and loss of soft tissue occurring more quickly in the summer, followed by spring and fall. None of the scavengers demonstrated a clear preference for the open versus closed sites. Our findings have identified the most prevalent vertebrate scavengers in central and northern Ontario and their taphonomic impact on soft and hard tissues. It is important to consider these agents and their ability to degrade and disperse remains during the search and recovery of human remains.
Development of DNA methylation‐based epigenetic age predictors in loblolly pine (Pinus taeda)
Authors: Gardner Steven T. , Bertucci Emily M. , Sutton Randall , Horcher Andy , Aubrey Doug , Parrott Benjamin B. 
Published: August 2022

AbstractBiological ageing is connected to life history variation across ecological scales and informs a basic understanding of age‐related declines in organismal function. Altered DNA methylation dynamics are a conserved aspect of biological ageing and have recently been modelled to predict chronological age among vertebrate species. In addition to their utility in estimating individual age, differences between chronological and predicted ages arise due to acceleration or deceleration of epigenetic ageing, and these discrepancies are linked to disease risk and multiple life history traits. Although evidence suggests that patterns of DNA methylation can describe ageing in plants, predictions with epigenetic clocks have yet to be performed. Here, we resolve the DNA methylome across CpG, CHG, and CHH‐methylation contexts in the loblolly pine tree (Pinus taeda) and construct epigenetic clocks capable of predicting ages in this species within 6% of its maximum lifespan. Although patterns of CHH‐methylation showed little association with age, both CpG and CHG‐methylation contexts were strongly associated with ageing, largely becoming hypomethylated with age. Among age‐associated loci were those in close proximity to malate dehydrogenase, NADH dehydrogenase, and 18S and 26S ribosomal RNA genes. This study reports one of the first epigenetic clocks in plants and demonstrates the universality of age‐associated DNA methylation dynamics which can inform conservation and management practices, as well as our ecological and evolutionary understanding of biological ageing in plants.
Impaired CD8+ T cells in term pregnancy decidua with chronic hepatitis B virus infection
Authors: Ma Yanchen , Liu Xiaoyi , Lou Haonan , Chen Liang , He Weiying , Pan Qingqing , Liao Dandan , Li Juanhua , Wu Jingran , Xiong Rongzhu , Liu Sihua , Luo Manling , Wu Fei , Chen Jing , Liu Zhihua , Tang Libo , Li Yongyin , Gao Yunfei 
Published: August 2022

AbstractProblemHepatitis B virus (HBV) infection is more likely to develop a state of chronicity in early life, particularly mother‐to‐child transmission (MTCT) of HBV in the fetus during pregnancy. Till now, little is known about the impact of chronic HBV infection on the immune status of the maternal‐fetus interface, and the immune profile of placental lymphocytes in MTCT of HBV is poorly understood.Method of StudyThirteen term pregnant women with chronic HBV infection (HBV‐PW) and thirteen normal pregnant women as healthy control (HC‐PW) were enrolled. The profile of placental immune cells and paired peripheral blood were analyzed by flow cytometry and immunohistochemistry.ResultsCompared with HC‐PW, the frequency of CD8+ T cells from the term placenta of HBV‐PW was significantly reduced. These cells showed decreased expression of activation molecules CD69 and HLA‐DR; thus, decidual CD8+ T cells from HBV‐PW demonstrated hypofunctional signature as evidenced by significantly reduced production of IFN‐γ, as well as compromised ability of degranulation and proliferation.ConclusionsThese findings supported that hypoactivated decidual CD8+ T cells might possess compromised ability in chronically HBV‐infected term pregnant women. Our study provides robust evidence for the necessity and importance of antiviral intervention in HBV‐PW to prevent MTCT of HBV.
Predicting probability of tolerating discrete amounts of peanut protein in allergic children using epitope‐specific IgE antibody profiling
Authors: Suprun Maria , Kearney Paul , Hayward Clive , Butler Heather , Getts Robert , Sicherer Scott H. , Turner Paul J. , Campbell Dianne E. , Sampson Hugh A. 
Published: August 2022

AbstractBackgroundIgE‐epitope profiling can accurately diagnose clinical peanut allergy.ObjectiveWe sought to determine whether sequential (linear) epitope‐specific IgE (ses‐IgE) profiling can provide probabilities of tolerating discrete doses of peanut protein in allergic subjects undergoing double‐blind, placebo‐controlled food challenges utilizing PRACTALL dosing.MethodsSixty four ses‐IgE antibodies were quantified in blood samples using a bead‐based epitope assay. A pair of ses‐IgEs that predicts Cumulative Tolerated Dose (CTD) was determined using regression in 75 subjects from the discovery cohort. This epitope‐based predictor was validated on 331 subjects from five independent cohorts (ages 4–25 years). Subjects were grouped based on their predicted values and probabilities of reactions at each CTD threshold were calculated.ResultsIn discovery, an algorithm using two ses‐IgE antibodies was correlated with CTDs (rho = 0.61, p < .05); this correlation was 0.51 (p < .05) in validation. Using the ses‐IgE‐based predictor, subjects were assigned into “high,” “moderate,” or “low” dose‐reactivity groups. On average, subjects in the “high” group were four times more likely to tolerate a specific dose, compared with the “low” group. For example, predicted probabilities of tolerating 4, 14, 44, and 144 or 444 mg in the “low” group were 92%, 77%, 53%, 29%, and 10% compared with 98%, 95%, 94%, 88%, and 73% in the “high” group.ConclusionsAccurate predictions of food challenge thresholds are complex due to factors including limited responder sample sizes at each dose and variations in study‐specific challenge protocols. Despite these limitations, an epitope‐based predictor was able to accurately identify CTDs and may provide a useful surrogate for peanut challenges.