bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of employee personality in employee satisfaction and turnover: insights from online employee reviews
Authors: Wu Ruigang , Zhao Xuefeng , Li Zhuo , Xie Yang 
Published: February 2024

PurposeOnline employee reviews have emerged as a crucial information source for business managers to evaluate employee behavior and firm performance. The purpose of this paper is to test the relationship between employee personality traits, derived from online employee reviews and job satisfaction and turnover behavior at the individual level.Design/methodology/approachThe authors apply text-mining techniques to extract personality traits from online employee reviews on Indeed.com based on the Big Five theory. They also apply a machine learning classification algorithm to demonstrate that incorporating personality traits can significantly enhance employee turnover prediction accuracy.FindingsPersonality traits such as agreeableness, conscientiousness and openness are positively associated with job satisfaction, while extraversion and neuroticism are negatively related to job satisfaction. Moreover, the impact of personality traits on overall job satisfaction is stronger for former employees than for current employees. Personality traits are significantly linked to employee turnover behavior, with a one-unit increase in the neuroticism score raising the probability of an employee becoming a former employee by 0.6%.Practical implicationsThese findings have implications for firm managers looking to gain insights into employee online review behavior and improve firm performance. Online employee review websites are recommended to include the identified personality traits.Originality/valueThis study identifies employee personality traits from automated analysis of employee-generated data and verifies their relationship with employee satisfaction and employee turnover, providing new insights into the development of human resources in the era of big data.
Perceived effects of key audit matters reporting on audit efforts, audit fees, audit quality, and audit report transparency: stakeholders’ perspectives
Authors: Bepari Md Khokan , Nahar Shamsun , Mollik Abu Taher 
Published: February 2024

Purpose
This paper aims to examine the perspectives of auditors, regulators and financial report preparers on the effects of key audit matters (KAMs) reporting on audit effort, fees, quality and report transparency.

Design/methodology/approach
The authors conducted 21 semi-structured interviews with stakeholders (13 Audit Partners, 5 Chief Financial Officers and 3 regulators) and thematically analysed the interviews. They use the frame of “Paradox of Transparency” to explain the findings.

Findings
Auditors perceive that the overall quality control of their audits has improved both in the planning and execution stages, and such improvement can mostly be attributed to the coercive pressures from professional bodies and regulators. Nevertheless, audit fee remains unchanged. Auditors disclose industry generic items and descriptions of KAMs, sometimes masking the real problem areas of the clients. Even after improving the performative audit quality, transparency of audit reporting has not improved. Issues that warrant going concern qualifications or audit report modifications are now reported as KAMs. Hence, KAMs reporting might make the audit report less transparent.

Practical implications
Localised audit environments and institutions affect the transparency of KAMs reporting. Without attention to corporate governance and auditors’ independence issues, paradoxically, performative improvement in audit quality (due to the KAMs reporting requirement) does not enhance the transparency of audit reports.

Originality/value
To the best of the authors’ knowledge, this study is the first to provide field-level evidence in Bangladesh and other developing countries about the perceptions of auditors, financial report preparers and regulators on the effects of KAMs reporting on audit efforts, fees, quality and report transparency.
Exploring the user-generated content data to improve quality management
Authors: Maia Sara , Teixeira Domingues José Pedro , Rocha Varela Maria Leonilde R. , Fonseca Luis Miguel 
Published: February 2024

PurposeThe focus of this research is to investigate if user-generated content (UGC) generated in the Booking platform can support quality management improvement within the hospitality industry by increasing customer satisfaction and eliminating defects more efficiently. Hence, it contributes to understanding how data-driven companies can rely on customer data to focus on innovation and performance improvement to meet customer requirements, eliminate defects and increase customer satisfaction.Design/methodology/approachFollowing the literature review, information was collected from the digital platform Booking, encompassing 15 hotel industry companies in Portugal Porto and Braga regions, selected due to their high number of customer reviews. This data was organized and categorized, eliminating all unnecessary information for the research and building an Excel database. The database was subsequently analysed with SPSS and Voyant software, performing statistical analysis, hypothesis testing and text-mining techniques to analyse the comments. After these analyses, applying quality tools allowed for more in-depth conclusions.FindingsThe research results highlight that customers' most relevant requirements in the Portuguese hospitality industry are breakfast, parking and a swimming pool. It was also possible to realize that the location is an attractive requirement, the bathroom is a must-be requirement and breakfast is a performance requirement. The results also allowed us to answer the most critical research question: “Is user-generated content a valuable aid to quality?” the answer is yes since it was possible to use the data to find improvements and faults/failures in the services.Originality/valueThe results of this study represent an essential step towards a complete understanding of how to take advantage of UGC within the hospitality industry by establishing a solid base of techniques, methods and quality tools for UGC analysis that can be applied in future research on different industry sectors.
What Observables Are Needed for Precision Data-Enabled Learning of Inverse Operators?
Authors: Yan Liangwu , Devasia Santosh 
Published: February 2024

Abstract
The advent of easy access to large amount of data has sparked interest in directly developing the relationships between input and output of dynamic systems. A challenge is that in addition to the applied input and the measured output, the dynamics can also depend on hidden states that are not directly measured. In general, it is unclear what type of data, such as past input and or past output is needed, to learn inverse operators (that predict the input needed to track a desired output for control purposes) with a desired precision. The main contribution of this work is to show that, irrespective of the selected model, removing the hidden-state dependence and achieving a desired precision of inverse operators require (i) a sufficiently-long past history of the output and (ii) sufficiently-precise estimates of the output's instantaneous time derivatives that are necessary and sufficient for linear systems, and under some conditions, for nonlinear systems. This insight, about the required observables (output history and derivative) for removing the hidden-state dependence and achieving precision, is used to develop a data-enabled algorithm to learn the inverse operator for multi-input multi-output square systems. Simulation examples are used to illustrate that neural nets (with universal approximation property) can learn the inverse operator with sufficient precision only if the required observables, identified in this work, are included in training.
Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method
Authors: Merzari Elia , Coppo Leite Victor , Fang Jun , Shaver Dillon , Min Misun , Kerkemeier Stefan , Fischer Paul , Tomboulides Ananias 
Published: February 2024

Abstract
Development and application of the open-source GPU-based fluid-thermal simulation code, NekRS, are described. Time advancement is based on an efficient kth-order accurate timesplit formulation coupled with scalable iterative solvers. Spatial discretization is based on the high-order spectral element method (SEM), which affords the use of fast, low-memory, matrix-free operator evaluation. Recent developments include support for nonconforming meshes using overset grids and for GPU-based Lagrangian particle tracking. Results of large-eddy simulations of atmospheric boundary layers for wind-energy applications as well as extensive nuclear energy applications are presented.
MeshPointNet: 3D Surface Classification Using Graph Neural Networks and Conformal Predictions on Mesh-Based Representations
Authors: Heyrani Nobari Amin , Rey Justin , Kodali Suhas , Jones Matthew , Ahmed Faez 
Published: February 2024

Abstract
In many design automation applications, accurate segmentation and classification of 3D surfaces and extraction of geometric insight from 3D models can be pivotal. This paper primarily introduces a machine learning-based scheme that leverages graph neural networks for handling 3D geometries, specifically for surface classification. Our model demonstrates superior performance against two state-of-the-art models, PointNet + + and PointMLP, in terms of surface classification accuracy, beating both models. Central to our contribution is the novel incorporation of conformal predictions, a method that offers robust uncertainty quantification and handling with marginal statistical guarantees. Unlike traditional approaches, conformal predictions enable our model to ensure precision, especially in challenging scenarios where mistakes can be highly costly. This robustness proves invaluable in design applications, and as a case in point, we showcase its utility in automating the computational fluid dynamics meshing process for aircraft models based on expert guidance. Our results reveal that our automatically generated mesh, guided by the proposed rules by experts enabled through the segmentation model, is not only efficient but matches the quality of expert-generated meshes, leading to accurate simulations.
Repurposing screen identifies novel candidates for broad-spectrum coronavirus antivirals and druggable host targets
Authors: Haid Sibylle , Matthaei Alina , Winkler Melina , Sake Svenja M. , Gunesch Antonia P. , Milke Vanessa , Köhler Natalie M. , Rückert Jessica , Vieyres Gabrielle , Kühl David , Nguyen Tu-Trinh , Göhl Matthias , Lasswitz Lisa , Zapatero-Belinchón Francisco J. , Brogden Graham , Gerold Gisa , Wiegmann Bettina , Bilitewski Ursula , Brown Richard J. P. , Brönstrup Mark , Schulz Thomas F. , Pietschmann Thomas 
Published: February 2024

ABSTRACT

Libraries composed of licensed drugs represent a vast repertoire of molecules modulating physiological processes in humans, providing unique opportunities for the discovery of host-targeting antivirals. We screened the Repurposing, Focused Rescue, and Accelerated Medchem (ReFRAME) repurposing library with approximately 12,000 molecules for broad-spectrum coronavirus antivirals and discovered 134 compounds inhibiting an alphacoronavirus and mapping to 58 molecular target categories. Dominant targets included the 5-hydroxytryptamine receptor, the dopamine receptor, and cyclin-dependent kinases. Gene knock-out of the drugs’ host targets including cathepsin B and L (CTSB/L; VBY-825), the aryl hydrocarbon receptor (AHR; Phortress), the farnesyl-diphosphate farnesyltransferase 1 (FDFT1; P-3622), and the kelch-like ECH-associated protein 1 (KEAP1; Omaveloxolone), significantly modulated HCoV-229E infection, providing evidence that these compounds inhibited the virus through acting on their respective host targets. Counter-screening of all 134 primary compound candidates with SARS-CoV-2 and validation in primary cells identified Phortress, an AHR activating ligand, P-3622-targeting FDFT1, and Omaveloxolone, which activates the NFE2-like bZIP transcription factor 2 (NFE2L2) by liberating it from its endogenous inhibitor KEAP1, as antiviral candidates for both an
Alpha
- and a
Betacoronavirus
. This study provides an overview of HCoV-229E repurposing candidates and reveals novel potentially druggable viral host dependency factors hijacked by diverse coronaviruses.
Simulated drug disposition in critically ill patients to evaluate effective PK/PD targets for combating
Pseudomonas aeruginosa
resistance to meropenem
Authors: Zhang Xiaonan , Wang Yan , Li Sanwang , Xie Feifan , Yi Hanxi 
Published: February 2024

ABSTRACT

Bacterial infections, including those caused by
Pseudomonas aeruginosa
, often lead to sepsis, necessitating effective antibiotic treatment like carbapenems. The key pharmacokinetic/pharmacodynamic (PK/PD) index correlated to carbapenem efficacy is the fraction time of unbound plasma concentration above the minimum inhibitory concentration (MIC) of the pathogen (%
fT
> MIC). While multiple targets exist, determining the most effective one for critically ill patients remains a matter of debate. This study evaluated meropenem’s bactericidal potency and its ability to combat drug resistance in
Pseudomonas aeruginosa
under three representative PK/PD targets: 40%
fT
> MIC, 100%
fT
> MIC, and 100%
fT
> 4× MIC. The hollow fiber infection model (HFIM) was constructed, validated, and subsequently inoculated with a substantial
Pseudomonas aeruginosa
load (1 × 10
8
CFU/mL). Different meropenem regimens were administered to achieve the specified PK/PD targets. At specified intervals, samples were collected from the HFIM system and subjected to centrifugation. The resulting supernatant was utilized to determine drug concentrations, while the precipitates were used to track changes in both total and drug-resistant bacterial populations over time by the spread plate method. The HFIM accurately reproduced meropenem’s pharmacokinetics in critically ill patients. All three PK/PD target groups exhibited a rapid bactericidal response within 6 h of the initial treatment. However, the 40%
fT
> MIC and 100%
fT
> MIC groups subsequently showed bacterial resurgence and resistance, whereas the 100%
fT
> 4× MIC group displayed sustained bactericidal activity with no evidence of drug resistance. The HFIM system revealed that maintaining 100%
fT
> 4× MIC offers a desirable microbiological response for critically ill patients, demonstrating strong bactericidal capacity and effective prevention of drug resistance.
Phylogenomic, structural, and cell biological analyses reveal that
Stenotrophomonas maltophilia
replicates in acidified Rab7A-positive vacuoles of
Acanthamoeba castellanii
Authors: Rivera Javier , Valerdi-Negreros Julio C. , Vázquez-Enciso Diana M. , Argueta-Zepeda Fulvia-Stefany , Vinuesa Pablo 
Published: February 2024

ABSTRACT

Acanthamoeba
species are clinically relevant free-living amoebae (FLA) ubiquitously found in soil and water bodies. Metabolically active trophozoites graze on diverse microbes via phagocytosis. However, functional studies on Rab GTPases (Rabs), which are critical for controlling vesicle trafficking and maturation, are scarce for this FLA. This knowledge gap can be partly explained by the limited genetic tools available for
Acanthamoeba
cell biology. Here, we developed plasmids to generate fusions of
A. castellanii
strain Neff proteins to the N- or C-termini of mEGFP and mCherry2. Phylogenomic and structural analyses of the 11 Neff Rab7 paralogs found in the RefSeq assembly revealed that eight of them had non-canonical sequences. After correcting the gene annotation for the Rab7A ortholog, we generated a line stably expressing an mEGFP-Rab7A fusion, demonstrating its correct localization to acidified macropinocytic and phagocytic vacuoles using fluorescence microscopy live cell imaging (LCI). Direct labeling of live
Stenotrophomonas maltophilia
ESTM1D_MKCAZ16_6a (Sm18) cells with pHrodo Red, a pH-sensitive dye, demonstrated that they reside within acidified, Rab7A-positive vacuoles. We constructed new mini-Tn7 delivery plasmids and tagged Sm18 with constitutively expressed mScarlet-I. Co-culture experiments of Neff trophozoites with Sm18::mTn7TC1_Pc_mScarlet-I, coupled with LCI and microplate reader assays, demonstrated that Sm18 underwent multiple replication rounds before reaching the extracellular medium via non-lytic exocytosis. We conclude that
S. maltophilia
belongs to the class of bacteria that can use amoeba as an intracellular replication niche within a
Stenotrophomonas
-containing vacuole that interacts extensively with the endocytic pathway.

IMPORTANCE

Diverse
Acanthamoeba
lineages (genotypes) are of increasing clinical concern, mainly causing amoebic keratitis and granulomatous amebic encephalitis among other infections.
S. maltophilia
ranks among the top 10 most prevalent multidrug-resistant opportunistic nosocomial pathogens and is a recurrent member of the microbiome hosted by
Acanthamoeba
and other free-living amoebae. However, little is known about the molecular strategies deployed by
Stenotrophomonas
for an intracellular lifestyle in amoebae and other professional phagocytes such as macrophages, which allow the bacterium to evade the immune system and the action of antibiotics. Our plasmids and easy-to-use microtiter plate co-culture assays should facilitate investigations into the cellular microbiology of
Acanthamoeba
interactions with
Stenotrophomonas
and other opportunistic pathogens, which may ultimately lead to the discovery of new molecular targets and antimicrobial therapies to combat difficult-to-treat infections caused by these ubiquitous microbes.
Should we prioritise children 6–23 months of age for vitamin A supplementation? Case study of West and Central Africa
Authors: Laillou Arnaud , Nanama Simeon , Hussen Alemayehu , Ntambi John , Baye Kaleab 
Published: February 2024

BackgroundVitamin A (VA) supplementation has been associated with reductions of all-cause child mortality. Child mortality amenable to VA, particularly related to infectious diseases, may be age dependent; hence, the beneficial effect of VA supplementation may differ between younger and older children. We aimed to estimate the all-cause child mortality disaggregated by younger and older than 2 years of age and estimate the contribution of VA supplementation in preventing child death in West and Central Africa.MethodsUsing the most recent (post-2010) cross-sectional Demographic and Health Surveys and Multiple Indicator Cluster Surveys, we analysed child-level data (n=187 651) from 20 West and Central African countries. Age-specific (all-cause) mortality rates were estimated using survival analyses. Age-specific VA supplementation coverage was linked with the age-specific all-cause child mortality to estimate the contribution of the supplementation in averting child death.ResultsThe cost per averted child death was also estimated using an average cost of US$1.2/child and VA supplementation coverage which ranged from 14% in Cote d’Ivoire to 81% in the Gambia. About 75% of the under-5 mortality occurred in the first 2 years of life. The share of excess (all-cause) mortality averted by VA supplementation was significantly higher in the first 2 years of life. A mean reduction of 7.1 deaths/1000 live births was estimated for children 6–23 months, compared to a reduction of 2.5 deaths/1000 live births for older children (24–59 months). The mean cost/averted child death for the 20 countries was 2.8 times lower for the 6–23 than the 24–59 months age group.ConclusionPrioritising VA supplementation for children in the first 2 years of life could be more cost-effective than when implemented among 6–59 months of age.
Uptake of community health care provision by community health entrepreneurs for febrile illness and diarrhoea: a cross-sectional survey in rural communities in Bunyangabu district, Uganda
Authors: van der Hoeven Marinka , van Lettow Monique , Boonstra Pien , Hoekstra Trynke , Rutebemberwa Elizeus , Tweheyo Raymond , Kok Maarten Olivier 
Published: February 2024

ObjectiveTo assess the uptake of services provided by community health workers who were trained as community health entrepreneurs (CHEs) for febrile illness and diarrhoea.DesignA cross-sectional survey among households combined with mapping of all providers of basic medicine and primary health services in the study area.Participants1265 randomly selected households in 15 rural villages with active CHEs.SettingBunyangabu district, Uganda.Outcome measuresWe describe the occurrence and care sought for fever and diarrhoea in the last 3 months by age group in the households. Care provider options included: CHE, health centre or clinic (public or private), pharmacy, drug shop and other. Geographic Information Ssystem (GIS)-based geographical measures were used to map all care providers around the active CHEs.ResultsFever and diarrhoea in the last 3 months occurred most frequently in children under 5; 68% and 41.9%, respectively. For those who sought care, CHE services were used for fever among children under 5, children 5–17 and adults over 18 years of age in 34.7%, 29.9% and 25.1%, respectively. For diarrhoea among children under 5, children 5–17 and adults over 18 years of age, CHE services were used in 22.1%, 19.5% and 7.0%, respectively. For those who did not seek care from a CHE (only), drug shops were most frequently used services for both fever and diarrhoea, followed by health centres or private clinics. Many households used a combination of services, which was possible given the high density and diversity of providers found in the study area.ConclusionsCHEs play a considerable role in providing care in rural areas where they are active. The high density of informal drug shops and private clinics highlights the need for clarity on the de facto roles played by different providers in both the public and private sector to improve primary healthcare.