bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recovering in the post-pandemic era: the role of employee voice, knowledge sharing, employee innovation, and service recovery performance in the hotel industry
Authors: Alzyoud Sultan , Abuzaid Ruba , Hamdan Haneen 
Published: December 2022

Purpose
Covid-19 pandemic is perceived as one of the great disasters in history. It forced countries to impose travel restrictions and lockdowns, and it negatively influenced hotels’ performance. Therefore, this article aims to provide explanations of how hotels can survive, recover and succeed in the post-pandemic period. This article focuses on the role of employee voice, knowledge sharing, and employee innovation in promoting service recovery performance.

Design/methodology/approach
This is a conceptual paper that focuses on discussing the relationships between employee voice, knowledge sharing, employee innovation, and service recovery performance.

Findings
The study suggests that employee voice is a vital element that can enhance knowledge sharing at hotels. Furthermore, knowledge sharing is proposed to encourage employees to engage in innovative behavior, which, in turn, can promote service recovery performance.

Originality/value
The study provides a framework that explains a mechanism of how hotels can accelerate recovery efforts from Covid-19 repercussions by shedding light on the important role of employee voice, knowledge sharing, and employee innovation.
A new taxonomy of fourth-party logistics: a lexicometric-based classification
Authors: Fattam Nejib , Saikouk Tarik , Hamdi Ahmed , Win Alan , Badraoui Ismail 
Published: December 2022

PurposeThis paper aims to elaborate on current research on fourth party logistics “4PL” by offering a taxonomy that provides a deeper understanding of 4PL service offerings, thus drawing clear frontiers between existing 4PL business models.Design/methodology/approachThe authors collected data using semi-structured interviews conducted with 60 logistics executives working in 44 “4PL” providers located in France. Using automatic analysis of textual data, the authors combined spatial visualisation, clustering analysis and hierarchical descending classification to generate the taxonomy.FindingsTwo key dimensions emerged, allowing the authors to clearly identify and distinguish four 4PL business models: the level of reliance on interpersonal relationships and the level of involvement in 4PL service offering. As a result, 4PL providers fall under one of the following business models in the taxonomy: (1) The Metronome, (2) The Architect, (3) The Nostalgic and (4) The Minimalist.Research limitations/implicationsThe study focuses on investigating 4PL providers located in France; thus, future studies should explore the classification of 4PL business models across different cultural contexts and social structures.Practical implicationsThe findings offer valuable managerial insights for logistics executives and clients of 4PL to better orient their needs, the negotiations and the contracting process with 4PLs.Originality/valueUsing a Lexicometric analysis, the authors develop taxonomy of 4PL service providers based on empirical evidence from logistics executives; the work addresses the existing confusion regarding the conceptualisation of 4PL firms with other types of logistical providers and the role of in/formal interpersonal relationships in the logistical intermediation.
Effects of both cavitation and non-Newtonian behavior on the performance of oscillatory anisotropic poroelastic squeeze film
Authors: Sobhi Said , El Khlifi Mohamed , Nabhani Mohamed 
Published: December 2022

Purpose
The purpose of this study is to present a theoretical investigation of the effects of cavitation and couple stress on the squeeze film behavior between an anisotropic poroelastic rigid disc and a sinusoidally oscillating rigid disc.

Design/methodology/approach
Based on the microcontinuum theory of Vijay Kumar Stokes and the Elrod–Adam algorithm, the non-Newtonian Reynolds equation coupled with modified Darcy's law for lubricant flow through the porous disc is derived. This numerical study includes the continuity of tangential velocity at the porous–fluid interface and the effects of percolation of the polar additives into the anisotropic porous disc.

Findings
The effects of couple stress, oscillating amplitude, percolation additives, permeability and anisotropic permeability on the squeeze film characteristics are discussed. It is found that both the percolation effect of the lubricant additives and the anisotropic structure of the porous surface reduce the flow in the porous disc, resulting in a decrease in pressure. It is also observed that cavitation effects are more pronounced for Newtonian fluids than couple stress fluids.

Originality/value
The results of this study can be used to design a variety of engineering applications such as bearings, wet clutches and non-contact mechanical seals.
Simple but logical: risk knowledge design and its impact on engagement in online knowledge communities
Authors: Lu Yiming , Li Yi-Na , Wei Jiuchang 
Published: December 2022

PurposeOnline knowledge communities have emerged as crucial places for knowledge and risk management in the face of systemic risks. The vitality of online knowledge communities requires users’ active engagement. This research paper aims to explore how text complex level and text analytic level as effective risk knowledge design leverages encourage users’ engagement under different “riskification” levels.Design/methodology/approachThis paper performs linguistic analysis on 210 TED talk transcripts and 38,377 comments from 2002 to 2018. The authors construct the variable of text complex level and conduct ordinary least squares regressions to test the relationships among text complex level, text analytic level and user engagement under different levels of “riskification” in the online knowledge community.FindingsHigh text complex level decreases engagement, while high text analytic level increases engagement. A high level of “riskification” exaggerates the negative effect of text complex level but diminishes the positive effect of the text analytic level.Originality/valueThis research advances knowledge management by highlighting users’ engagement and responding to shared risk knowledge from a different perspective than knowledge supply. The focus on risk communication in online knowledge communities broadens the scope of knowledge management literature beyond the confines of organizations. To the best of the authors’ knowledge, this research is among the first studies to propose risk knowledge design approaches for communicating systemic risks.
Bayesian inversion of 4D seismic data to pressure and saturation changes: Application to a west of Shetlands field
Authors: Côrte Gustavo , Amini Hamed , MacBeth Colin 
Published: December 2022

AbstractA Bayesian inversion methodology is proposed that inverts angle‐stacked 4D seismic maps to changes in pressure, water saturation and gas saturation. The inversion method is applied to data from a siliciclastic reservoir in the west of Shetlands, UK continental shelf. We present inversion results for three seismic monitor surveys and demonstrate the added value of pressure‐saturation inversion by providing insights into reservoir connectivity and fluid dynamics across 14 years of reservoir production. In these surveys, 4D seismic signals related to waterflood, pressure increase and depletion, and gas exsolution are evident and overlap each other in many regions. To regularize this ill‐posed inversion problem, we propose a Bayesian formulation that incorporates spatially variant prior information derived from a history‐matched reservoir simulation model and well pressure measurements. The benefit of incorporating these multi‐disciplinary data as prior information is demonstrated by comparing to inversion results using a spatially invariant prior. We show that the method takes advantage of the multi‐disciplinary prior information to make more precise inferences where the seismic data are most uncertain. This leads to more realistic spatial distributions for the pressure and water‐saturation inversion results. The non‐uniqueness in this non‐linear inversion is studied by analysing uncertainty estimates produced by stochastic sampling of the Bayesian posterior distribution. Posterior standard deviations are observed to be related to the sensitivity of the seismic amplitudes to the changes in each dynamic property as well as the degree of overlap between changes in different dynamic properties. Estimated pressure increases have a posterior standard deviation of approximately 1 MPa, whereas posterior standard deviations for pressure decrease are on average 4 MPa, with higher values applicable to regions of gas exsolution. The posterior standard deviation for estimates of gas saturation change is 0.07 for moderate, visible saturation signals, but 0.005 for low‐to‐zero gas saturation change. The posterior standard deviation for estimated water saturation change is mainly influenced by overlapping changes in pressure and gas saturation. When water changes dominate the 4D seismic signal, posterior standard deviations are on average 0.05. These values rise to 0.25 in areas where the water change is obscured by pressure or gas‐saturation changes.
Macroeconomic implications of escalating stock of public debt: Evidence from sub‐Saharan African economies
Authors: Olaoye Olumide Olusegun , Tabash Mosab I. , Omokanmi Olatunde Julius , Ogunjumo Rotimi Ayoade , Ojelade Matthew Oyeleke , Ishola James A. 
Published: December 2022

AbstractThe study investigated the effect of public debts on macroeconomic indicators, such as inflation and the exchange rate, using a panel of 25 sub‐Saharan African (SSA) economies. The study contributed to extant studies by looking at the separate effect of domestic and foreign debts on inflation and exchange rate. We adopted a battery of econometric tools such as the Driscoll–Kraay standard errors and the dynamic panel threshold model. The results show that foreign debts worsen the inflation rate and expose the economy to unanticipated movements in the exchange rate, whereas domestic debts help to reduce the inflationary pressure. The study also found a nonlinear relationship between public debts and macroeconomic indicators of inflation and exchange rates. This implies the further accumulation of foreign debt will heighten the inflation rate and expose the region to unanticipated movements in the exchange rate. The study recommends that governments and policymakers in SSA should ensure that foreign debts are sufficiently hedged against currency and interest rate risks to reduce the exposure of SSA economies to exchange rate risks. The study also recommends that governments adhere strictly to the maximum debt limit of 60.59% (of gross domestic product), otherwise inflation and exchange rates may worsen.
Choosing the Conservative Leader: a View from History
Authors: Bogdanor Vernon 
Published: December 2022

AbstractThe history of the choice of Conservative Party leaders shows a progression from choice by an elite via choice by MPs to choice by party members. Even so, the parliamentary party retains, by contrast with the Labour Party, a dominant role in choosing the leader. The criterion of who is best placed to unify the party remains of importance, but is supplemented by two other criteria: who is best placed to win the next general election and who is the more genuinely Conservative of the various candidates. The Liz Truss premiership of 2022, however, the year of three Prime Ministers, seemed to cast doubt on the efficacy of Conservative leadership election rules.
Co‐occurring KEAP1 and TP53 mutations in lung squamous cell carcinoma induced primary resistance to thoracic radiotherapy: A case report
Authors: Nishimura Rumi , Yoshida Tatsuya , Torasawa Masahiro , Kashihara Tairo , Ohe Yuichiro 
Published: December 2022

AbstractIn lung squamous cell carcinoma, KEAP1 mutations frequently coexist with TP53 mutations. A preclinical model showed that mutations leading to the activation of the KEAP1–NRF2 pathway contribute to clinical radioresistance. However, there have been few clinical reports on the association between the presence of KEAP1 and TP53 mutations in patients with lung squamous cell carcinoma. Here, we report the case of a 62‐year‐old patient with advanced lung squamous cell carcinoma with KEAP1 and TP53 mutations who experienced primary resistance to thoracic radiotherapy. She was administered pembrolizumab in combination with cytotoxic agents as the first‐line treatment and the best response was a partial response. However, the mediastinal lymph node metastases regrew 11 months after the chemotherapy. Thus, she received thoracic radiation therapy for localized lesions. However, the lesions within the radiation field had apparently progressed. Although she received subsequent chemotherapy, the lesion rapidly progressed. Treatment strategies including radiotherapy based on genetic stratification, such as KEAP1 and TP53 mutation status, should be implemented for lung squamous cell carcinoma.
Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa
Authors: Zito Alessandro , Rigon Tommaso , Dunson David B. 
Published: December 2022

Abstract

Predicting the taxonomic affiliation of DNA sequences collected from biological samples is a fundamental step in biodiversity assessment. This task is performed by leveraging existing databases containing reference DNA sequences endowed with a taxonomic identification. However, environmental sequences can be from organisms that are either unknown to science or for which there are no reference sequences available. Thus, taxonomic novelty of a sequence needs to be accounted for when doing classification.

We propose Bayesian nonparametric taxonomic classifiers, BayesANT, which use species sampling model priors to allow unobserved taxa to be discovered at each taxonomic rank. Using a simple product multinomial likelihood with conjugate Dirichlet priors at the lowest rank, a highly flexible supervised algorithm is developed to provide a probabilistic prediction of the taxa placement of each sequence at each rank.

As an illustration, we run our algorithm on a carefully annotated library of Finnish arthropods (FinBOL). To assess the ability of BayesANT to recognize novelty and to predict known taxonomic affiliations correctly, we test it on two training‐test splitting scenarios, each with a different proportion of taxa unobserved in training. We show how our algorithm attains accurate predictions and reliably quantifies classification uncertainty, especially when many sequences in the test set are affiliated to taxa unknown in training.

By enabling taxonomic predictions for DNA barcodes to identify unseen branches, we believe BayesANT will be of broad utility as a tool for DNA metabarcoding within bioinformatics pipelines.
Evaluating instrumental learning and striatal–cortical functional connectivity in adolescent alcohol and cannabis use
Authors: Hubbard Nicholas A. , Miller Kevin B. , Aloi Joseph , Bajaj Sahil , Wakabayashi Ken T. , Blair R. James R. 
Published: December 2022

AbstractAdolescence is a vulnerable time for the acquisition of substance use disorders, potentially relating to ongoing development of neural circuits supporting instrumental learning. Striatal–cortical circuits undergo dynamic changes during instrumental learning and are implicated in contemporary addiction theory. Human studies have not yet investigated these dynamic changes in relation to adolescent substance use. Here, functional magnetic resonance imaging was used while 135 adolescents without (AUD‐CUDLow) and with significant alcohol (AUDHigh) or cannabis use disorder symptoms (CUDHigh) performed an instrumental learning task. We assessed how cumulative experience with instrumental cues altered cue selection preferences and functional connectivity strength between reward‐sensitive striatal and cortical regions. Adolescents in AUDHigh and CUDHigh groups were slower in learning to select optimal instrumental cues relative to AUD‐CUDLow adolescents. The relatively fast learning observed for AUD‐CUDLow adolescents coincided with stronger functional connectivity between striatal and frontoparietal regions during early relative to later periods of task experience, whereas the slower learning for the CUDHigh group coincided with the opposite pattern. The AUDHigh group not only exhibited slower learning but also produced more instrumental choice errors relative to AUD‐CUDLow adolescents. For the AUDHigh group, Bayesian analyses evidenced moderate support for no experience‐related changes in striatal–frontoparietal connectivity strength during the task. Findings suggest that adolescent cannabis use is related to slowed instrumental learning and delays in peak functional connectivity strength between the striatal–frontoparietal regions that support this learning, whereas adolescent alcohol use may be more closely linked to broader impairments in instrumental learning and a general depression of the neural circuits supporting it.
Impact of aquaculture training on farmers’ income: Cluster randomized controlled trial evidence in Ghana
Authors: Ragasa Catherine , Amewu Sena , Agyakwah Seth Koranteng , Mensah Emmanuel Tetteh‐Doku , Asmah Ruby 
Published: December 2022

AbstractAquaculture in Ghana is experiencing tremendous growth, led mainly by large‐scale commercial cage operators. A major objective of the government and its partners is to ensure that this rapid growth is sustainable and includes small‐scale farmers and poor rural producers. This paper evaluates the aquaculture trainings implemented in six main tilapia‐producing regions in Ghana as part of the Ghana Tilapia Seed Project. The impact evaluation is designed as a cluster randomized controlled trial, with half of the producing districts randomly‐assigned as the treatment and the rest as the control, complemented by qualitative interviews. One year after the trainings, results show positive impacts on the adoption of good record‐keeping, water management, and some biosecurity practices, and on productivity and incomes. In terms of mechanism, improved management practices resulted from reducing overstocking, reducing inbreeding, maintaining water level for fish ponds, regular pond clearing and establishing physical barriers, following advice and recommendations on feeding practices, and complementing feeding practices with farmers’ own feed formulation. Half of the trained farmers experienced lower fish mortality, faster growth, and heavier fish at harvest. Marketing and processing advice through the trainings and complementary FishConnect WhatsApp platform likely contributed to higher incomes, although the platform's coverage and regular updating can be improved.
Rheumatoid arthritis and the risk of preterm birth
Authors: Falcon Robbi Miguel G. , Alcazar Renne Margaret U. , Mondragon Alric V. , Penserga Ester G. , Tantengco Ourlad Alzeus G. 
Published: December 2022

AbstractDuring pregnancy, many diseases are correlated with different adverse outcomes. In turn, pregnancy affects the body, leading to increased disease susceptibility. This interplay between diseased states and pregnancy outcomes is illustrated in the effect of the chronic autoimmune disorder, rheumatoid arthritis (RA), and the adverse outcome, preterm birth (PTB). RA is a systemic disorder characterized by inflammation of the joints and other body organs. Joint pain and swelling are the most prominent manifestations of RA during pregnancy. However, the exact role of RA on PTB among pregnant women has yet to be established. This review highlighted the immunologic mechanisms involved in PTB in pregnant patients with RA. The immune cell population in pregnant women with RA exhibited higher activity of macrophages, dendritic cells, neutrophils, helper T (Th) 1 cells, and Vδ1 cells, but lower activity of CD4 + CD25high T regulatory (CD24 + CD25high Treg), Th2, and Vδ2 cells. Increased pro‐inflammatory cytokines IL‐6, TNF‐α, and IFN‐γ and decreased anti‐inflammatory cytokines IL‐12 and IL‐10 are also exhibited by pregnant patients with RA. This review also discussed factors that may predict the risk of PTB in RA. These include disease activity and severity of RA, laboratory parameters (cytokines and immune cell population), and sociodemographic factors such as ethnicity, smoking, alcohol intake, and the level of education. Current findings on the underlying immunological mechanisms of RA can help identify possible strategies to prevent PTB.
Bedrock meadows: A distinct vegetation type in northwestern North America
Authors: Pätsch Ricarda , Zapisocki Zoey , Tucker Daniel , Stroh Hans Georg , Becker Thomas , Spribille Toby , Wagner Viktoria 
Published: December 2022

AbstractAimsIn northwestern North America, montane meadows fed by vernal ground‐flow seepage occur scattered throughout an otherwise forested landscape on shallow soils over bedrock. Although their significance for biodiversity has been known, they have never been subject to systematic scientific research and thus, are not included in regional or national vegetation classification schemes. We provide the first vegetation survey of bedrock meadows and compare them to other major non‐forest vegetation types in the region.Study areaNorthwestern North America (United States, Canada).MethodsWe surveyed 110 plots of bedrock meadow vegetation in Montana, Idaho, and British Columbia and compared them with data from 1052 plots from six studies of other open vegetation in the region: prairie and foothill grasslands, maritime mountain, alpine, and timberline meadows. We used cluster analysis to identify groups based on vascular plant composition, related abiotic and structural characteristics to clusters using non‐metric multidimensional scaling (NMDS), and compared proportions of plant growth forms and life spans.ResultsCluster analysis identified five groups, with bedrock meadows forming a distinct community. According to the NMDS, bedrock meadows had a high cover of vascular plants, bryophytes, and lichens and a low cover of litter. Their climate was intermediate between maritime mountain and interior timberline meadows. A distinct functional feature of bedrock meadows was their high proportions of annual plants (therophytes) and plants regenerating from bulbs and corms (geophytes)—a functional composition they shared with maritime mountain meadows.ConclusionBedrock meadows have distinct floristic, functional, and environmental features, are important hotspots for biodiversity, and host several rare plant species. They are an important habitat for conservation and environmental impact assessment and should be incorporated into regional and national classification schemes. Future research priority should be given to understanding their spatial extent, ecological functioning, and drivers of non‐vascular and vascular species richness.