bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experiencing the pull and push: influences on independent contractor motivation and job satisfaction
Authors: Miller Andrew , Vanhove Adam 
Published: March 2024

PurposeDrawing on organismic integration theory, we aim to examine whether the reasons independent contractors choose contract work are related to their on-the-job motivation and job satisfaction and whether their perceived support enhances positive (or buffers negative) effects.Design/methodology/approachWe collected data at three separate time points from 241 adjunct instructors to test a moderated mediation model using bootstrapping analyses.FindingsThe positive relationship between pull factors (e.g. autonomy) and job satisfaction is fully mediated by the autonomous motivation contractors experienced at work. The inverse relationship between push factors (e.g. inability to secure desired work role) and job satisfaction is not mediated by autonomous nor controlled motivation experienced at work. Contractors' perceived organizational support does not moderate the relationship between either push or pull factors and autonomous motivation. Post hoc analysis shows a moderating effect of perceived supervisor support on the nonlinear relationship between push factors and autonomous motivation.Practical implicationsRecruiting individuals drawn to the benefits of contract work may have important implications for worker motivation, job satisfaction and potentially beyond. Moreover, organizations may consider whether existing support resources and infrastructure are appropriate for contractors.Originality/valueDespite the abundance of evidence demonstrating the benefits of organizational and supervisor support among traditional employee populations, such support may be of limited value to those drawn to contract work.
From data to decision: distilling decision intelligence from user-generated content
Authors: Redek Tjaša , Godnov Uroš 
Published: March 2024

PurposeThe Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.Design/methodology/approachUsing Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.FindingsThe paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.Research limitations/implicationsThe paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.Originality/valueThe study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.
Recovery time of the hotel and restaurant sector in Indonesia after COVID-19 crisis: a survival analysis
Authors: Sastri Ray , Li Fanglin , Naveed Hafiz Muhammad , Setiyawan Arbi 
Published: March 2024

PurposeThe COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.Design/methodology/approachThis study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.FindingsThe empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.Originality/valueThis study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.
Pilfering personalities: Effects of small mammal personality on cache pilferage
Authors: Humphreys Brigit R. , Mortelliti Alessio 
Published: March 2024

Abstract

Small mammals such as mice and voles play a fundamental role in the ecosystem service of seed dispersal by caching seeds in small hoards that germinate under beneficial conditions. Pilferage is a critical step in this process in which animals steal seeds from other individuals' caches. Pilferers often recache stolen seeds, which are often pilfered by new individuals, who may recache again, and so on, potentially leading to compounded increased dispersal distance. However, little research has investigated intraspecific differences in pilfering frequency, despite its importance in better understanding the role of behavioural diversity in the valuable ecosystem service of seed dispersal.

We conducted a field experiment in Maine (USA) investigating how intraspecific variation, including personality, influences pilferage effectiveness.

Within the context of a long‐term capture‐mark‐recapture study, we measured the unique personality of 3311 individual small mammals of 10 species over a 7‐year period. For this experiment, we created artificial caches using eastern white pine (Pinus strobus) seeds monitored with trail cameras and buried antennas for individual identification.

Of the 436 caches created, 83.5% were pilfered by 10 species, including deer mice ((Peromyscus maniculatus) and southern red‐backed voles (Myodes gapperi). We show how individuals differ in their ability to pilfer seeds and that these differences are driven by personality, body condition and sex. More exploratory deer mice and those with lower body condition were more likely to locate a cache, and female southern red‐backed voles were more likely than males to locate caches. Also, caches were more likely to be pilfered in areas of higher small mammal abundance.

Because the risk of pilferage drives decisions concerning where an animal chooses to store seeds, pilferage pressure is thought to drive the evolution of food‐hoarding behaviour. Our study shows that pilferage ability varies between individuals, meaning that some individuals have a disproportionately strong influence on others' caching decisions and disproportionately contribute to compounded longer‐distance seed dispersal facilitated by pilferage. Our results add to a growing body of knowledge showing that the unique personalities of individual small mammals play a critical role in forest regeneration by impacting seed dispersal.
Pioglitazone reverses alcohol‐induced alterations in alveolar macrophage mitochondrial phenotype
Authors: Crotty Kathryn M. , Kabir Shayaan A. , Chang Sarah S. , Mehta Ashish J. , Yeligar Samantha M. 
Published: March 2024

AbstractBackgroundPeople with alcohol use disorder (AUD) have an increased risk of developing pneumonia and pulmonary diseases. Alveolar macrophages (AMs) are immune cells of the lower respiratory tract that are necessary for clearance of pathogens. However, alcohol causes AM oxidative stress, mitochondrial damage and dysfunction, and diminished phagocytic capacity, leading to lung injury and immune suppression.MethodsAMs were isolated by bronchoalveolar lavage from people with AUD and male and female C57BL/6J mice given chronic ethanol (20% w/v, 12 weeks) in drinking water. The peroxisome proliferator‐activated receptor γ ligand, pioglitazone, was used to treat human AMs ex vivo (10 μM, 24 h) and mice in vivo by oral gavage (10 mg/kg/day). Levels of AM mitochondrial superoxide and hypoxia‐inducible factor‐1 alpha (HIF‐1α) mRNA, a marker of oxidative stress, were measured by fluorescence microscopy and RT‐qPCR, respectively. Mouse AM phagocytic ability was determined by internalized Staphylococcus aureus, and mitochondrial capacity, dependency, and flexibility for glucose, long‐chain fatty acid, and glutamine oxidation were measured using an extracellular flux analyzer. In vitro studies used a murine AM cell line, MH‐S (±0.08% ethanol, 72 h) to investigate mitochondrial fuel oxidation and ATP‐linked respiration.ResultsPioglitazone treatment decreased mitochondrial superoxide in AMs from people with AUD and ethanol‐fed mice and HIF‐1α mRNA in ethanol‐fed mouse lungs. Pioglitazone also reversed mouse AM glutamine oxidation and glucose or long‐chain fatty acid flexibility to meet basal oxidation needs. In vitro, ethanol decreased the rate of AM mitochondrial and total ATP production, and pioglitazone improved changes in glucose and glutamine oxidation.ConclusionsPioglitazone reversed chronic alcohol‐induced oxidative stress in human AM and mitochondrial substrate oxidation flexibility and superoxide levels in mouse AM. Decreased ethanol‐induced AM HIF‐1α mRNA with pioglitazone suggests that this pathway may be a focus for metabolic‐targeted therapeutics to improve morbidity and mortality in people with AUD.
Feeling the Vibe: Relations and Praxes of a Black Sense of Place in Oakland, California
Authors: Heitz Kaily 
Published: March 2024

AbstractBlack artists, activists, and residents describe their sense of place as part of efforts to claim community space in the midst of racialised dispossession in Oakland, California. “Vibe” is a term used to describe this relationship. The author explains the term by drawing on ethnographic and archival data from research conducted in Oakland between 2019 and 2020. This paper explores vibe as the means by which black life is emotionally, relationally, and geographically made possible in the midst of structural racial violence. The author breaks vibe down into three modalities, or structures of relation, through which vibe is commonly evoked: hustle, care, and openness. These forms of relation are unpacked using the story of one local Black business owner. Vibe, thus, is more than a description, but an expression of relation that is politically, culturally, and economically central to Black geographic imaginaries and struggles.
Structural change of the cytoplasmic N‐terminus and S1 segment of voltage‐sensing phosphatase reported by Anap
Authors: Tsutsui Hidekazu , Jinno Yuka , Mizutani Natsuki , Okamura Yasushi 
Published: March 2024

AbstractBackgroundVoltage‐sensing phosphatase contains a structurally conserved S1‐S4‐based voltage‐sensor domain, which undergoes a conformational transition in response to membrane potential change. Unlike that of channels, it is functional even in isolation and is therefore advantageous for studying the transition mechanism, but its nature has not yet been fully elucidated. This study aimed to address whether the cytoplasmic N‐terminus and S1 exhibit structural change.MethodsAnap, an environment‐sensitive unnatural fluorescent amino acid, was site‐specifically introduced to the voltage sensor domain to probe local structural changes by using oocyte voltage clamp and photometry. Tetramethylrhodamine was also used to probe some extracellularly accessible positions. In total, 51 positions were investigated.ResultsWe detected robust voltage‐dependent signals from widely distributed positions including N‐terminus and S1. In addition, response to hyperpolarization was observed at the extracellular end of S1, reflecting the local structure flexibility of the voltage‐sensor domain in the down‐state. We also found that the mechanical coupling between the voltage‐sensor and phosphatase domains affects the depolarization‐induced optical signals but not the hyperpolarization‐induced signals.ConclusionsThese results fill a gap between the previous interpretations from the structural and biophysical approaches and should provide important insights into the mechanisms of the voltage‐sensor domain transition as well as its coupling with the effector.
‘Spin’ in urology non‐randomised studies comparing therapeutic interventions: a temporal analysis
Authors: Wu Jeremy , Haile Samuel S. , Ho Wilson , Klotz Laurence , Yuan Morgan , Lee Jason Y. , Krakowsky Yonah 
Published: March 2024

ObjectiveTo determine the prevalence of ‘spin’ (i.e., reporting practices that distort the interpretation of results by positively reflecting negative findings or downplaying potential harms) strategies and level of spin in urological observational studies and whether the use of spin has changed over time.Materials and MethodsMEDLINE and Embase were searched to identify observational studies comparing therapeutic interventions in the top five urology journals and major urological subspecialty journals, published between 2000 and 2001, 2010 and 2011, and 2020 and 2021.ResultsA total of 235 studies were included. Spin was identified in 81% of studies, with a median of two strategies per study. The most commonly used strategies were inadequate implication for clinical practice (30%), causal language or causal claim (29%), and use of linguistic spin (29%). Moderate to high levels of spin were found in 55% of conclusions. From 2000 to 2020, the average number of strategies used has significantly decreased each decade (H = 27.459, P < 0.001), and the median level of spin in conclusions was significantly lower in studies published in the 2020s and 2010s than in the 2000s (H = 11.649, P = 0.003).ConclusionsOur results suggest that 81% of urological observational studies comparing therapeutic interventions contained spin. Over the past two decades, the use of spin has significantly declined, but this remains an area for improvement, with 70% of included studies published in the 2020s employing spin. Medical writing should scrupulously avoid words or phrases that are not supported by data in the manuscript.
AMG487 alleviates influenza A (H1N1) virus‐induced pulmonary inflammation through decreasing IFN‐γ‐producing lymphocytes and IFN‐γ concentrations
Authors: Ding Wenbin , Li Runfeng , Song Tongtong , Yang Zifeng , Xu Dongting , Huang Chuqin , Shen Shuirong , Zhong Nanshan , Lai Kefang , Deng Zheng 
Published: March 2024

Background and PurposeSevere influenza virus‐infected patients have high systemic levels of Th1 cytokines (including IFN‐γ). Intrapulmonary IFN‐γ increases pulmonary IFN‐γ‐producing T lymphocytes through the CXCR3 pathway. Virus‐infected mice lacking IP‐10/CXCR3 demonstrate lower pulmonary neutrophilic inflammation. AMG487, an IP‐10/CXCR3 antagonist, ameliorates virus‐induced lung injury in vivo through decreasing viral loads. This study examined whether AMG487 could treat H1N1 virus‐induced mouse illness through reducing viral loads or decreasing the number of lymphocytes or neutrophils.Experimental ApproachHere, we studied the above‐mentioned effects and underlying mechanisms in vivo.Key ResultsH1N1 virus infection caused bad overall condition and pulmonary inflammation characterized by the infiltration of lymphocytes and neutrophils. From Day‐5 to Day‐10 post‐virus infection, bad overall condition, pulmonary lymphocytes, and IFN‐γ concentrations increased, while pulmonary H1N1 viral titres and neutrophils decreased. Both anti‐IFN‐γ and AMG487 alleviated virus infection‐induced bad overall condition and pulmonary lymphocytic inflammation. Pulmonary neutrophilic inflammation was mitigated by AMG487 on Day‐5 post‐infection, but was not mitigated by AMG487 on Day‐10 post‐infection. H1N1 virus induced increases of IFN‐γ, IP‐10, and IFN‐γ‐producing lymphocytes and activation of the Jak2‐Stat1 pathways in mouse lungs, which were inhibited by AMG487. Anti‐IFN‐γ decreased IFN‐γ and IFN‐γ‐producing lymphocytes on Day‐5 post‐infection. AMG487 but not anti‐IFN‐γ decreased viral titres in mouse lung homogenates or BALF. Higher virus load did not increase pulmonary inflammation and IFN‐γ concentrations when mice were treated with AMG487.Conclusion and ImplicationsAMG487 may ameliorate H1N1 virus‐induced pulmonary inflammation through decreasing IFN‐γ‐producing lymphocytes rather than reducing viral loads or neutrophils.
Investigating student perceptions and vulnerability to heat stress in campus residences using Reddit: Climate change, health, and wellbeing
Authors: Yeung Yuki , Elliott Susan J. 
Published: March 2024

AbstractThis exploratory research investigated the sufficiency of existing infrastructure to adapt to high temperatures and explored the perceptions of heat stress from students in on‐campus residences at the U15 Group of Universities in Canada. The prevalence of air conditioning in student residences was used to estimate the adaptive capacity of existing infrastructure, and posts and comments on Reddit relevant to the perceptions of heat stress were collected in January 2023 through a query of relevant key words within each institution's subreddit. Most institutions (80%) had some residences with air conditioning. However, four main themes emerged through the thematic analysis of 409 posts and comments on Reddit: (1) complaints, (2) impacts on wellbeing, (3) adaptation strategies, and (4) climate change. The perceptions of heat stress from students suggest that existing available cooling strategies do not provide sufficient adaptation to high indoor temperatures. Recognizing student perceptions and experiences is necessary in designing and implementing future adaptation strategies to promote the health and wellbeing of postsecondary students in Canada.
Inducing Novel Sound–Taste Correspondences via an Associative Learning Task
Authors: Barbosa Escobar Francisco , Wang Qian Janice 
Published: March 2024

AbstractThe interest in crossmodal correspondences, including those involving sounds and involving tastes, has experienced rapid growth in recent years. However, the mechanisms underlying these correspondences are not well understood. In the present study (N = 302), we used an associative learning paradigm, based on previous literature using simple sounds with no consensual taste associations (i.e., square and triangle wave sounds at 200 Hz) and taste words (i.e., sweet and bitter), to test the influence of two potential mechanisms in establishing sound–taste correspondences and investigate whether either learning mechanism could give rise to new and long‐lasting associations. Specifically, we examined an emotional mediation account (i.e., using sad and happy emoji facial expressions) and a transitive path (i.e., sound‐taste correspondence being mediated by color, using red and black colored squares). The results revealed that the associative learning paradigm mapping the triangle wave tone with a happy emoji facial expression induced a novel crossmodal correspondence between this sound and the word sweet. Importantly, we found that this novel association was still present two months after the experimental learning paradigm. None of the other mappings, emotional or transitive, gave rise to any significant associations between sound and taste. These findings provide evidence that new crossmodal correspondences between sounds and tastes can be created by leveraging the affective connection between both dimensions, helping elucidate the mechanisms underlying these associations. Moreover, these findings reveal that these associations can last for several weeks after the experimental session through which they were induced.
FVCNet: Detection obstacle method based on feature visual clustering network in power line inspection
Authors: Wang Qiu‐Yu , Lv Xian‐Long , Tang Shi‐Kai 
Published: March 2024

AbstractPower line inspection is an important means to eliminate hidden dangers of power lines. It is a difficult research problem how to solve the low accuracy of power line inspection based on deep neural network (DNN) due to the problems of multi‐view‐shape, small‐size object. In this paper, an automatic detection model based on Feature visual clustering network (FVCNet) for power line inspection is established. First, an unsupervised clustering method for power line inspection is proposed, and applied to construct a detection model which can recognize multi‐view‐shape objects and enhanced object features. Then, the bilinear interpolation method is used to Feature enhancement method, and the enhanced high‐level semantics and low‐level semantics are fused to solve the problems of small object size and single sample. In this paper, FVCNet is applied to the MS‐COCO 2017 data set and self‐made power line inspection data set, and the test accuracy is increased to 61.2% and 82.0%, respectively. Compared with other models, especially for the categories that are greatly affected by multi‐view‐shape, the test accuracy has been improved significantly.
An effective graph embedded YOLOv5 model for forest fire detection
Authors: Yuan Hui , Lu Zhumao , Zhang Ruizhe , Li Jinsong , Wang Shuai , Fan Jingjing 
Published: March 2024

AbstractThe existing YOLOv5‐based framework has achieved great success in the field of target detection. However, in forest fire detection tasks, there are few high‐quality forest fire images available, and the performance of the YOLO model has suffered a serious decline in detecting small‐scale forest fires. Making full use of context information can effectively improve the performance of small target detection. To this end, this paper proposes a new graph‐embedded YOLOv5 forest fire detection framework, which can improve the performance of small‐scale forest fire detection using different scales of context information. To mine local context information, we design a spatial graph convolution operation based on the message passing neural network (MPNN) mechanism. To utilize global context information, we introduce a multi‐head self‐attention (MSA) module before each YOLO head. The experimental results on FLAME and our self‐built fire dataset show that our proposed model improves the accuracy of small‐scale forest fire detection. The proposed model achieves high performance in real‐time performance by fully utilizing the advantages of the YOLOv5 framework.