bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of service quality and anticipated emotions on donor loyalty: an empirical analysis in blood centres in Spain
Authors: Martín-Santana Josefa D. , Melián-Alzola Lucía 
Published: July 2022

AbstractBlood donation centres need to recruit and retain donors to ensure the effectiveness and efficiency of healthcare systems, as COVID-19 has recently evidenced. In such risky settings, blood donation services must increase donations. Service quality can increase donations but its evaluation only amounts to a cognitive evaluation, and not to an emotional appraisal. Consequently, both service quality and emotions should be considered when predicting donor behaviour. In fact, donating blood is an emotionally charged service, thus representing an ideal setting to investigate how emotions influence consumer behaviour. This research proposes a new method to predict blood donors’ intentions by integrating a cognitive approach measuring perceived quality, and an emotional approach including anticipated emotions (both positive and negative) of ‘donation’ and ‘non-donation’. Based on a sample of 30,621 active Spanish donors, it is concluded that service quality is an antecedent for anticipated emotions and that both service quality and anticipated emotions influence donor loyalty. Designing the donation process based on quality criteria would provoke encouraging emotions and diminish discouraging emotions, therefore improving donor loyalty.
Exogenous TIPE2 Inhibit TAK1 to Improve Inflammation and Neuropathic Pain Induced by Sciatic Nerve Injury Through Inactivating NF-κB and JNK
Authors: Sun Xuehua , Li Xinyou , Zhou Youfei , Wang Yufei , Liu Xiaochen 
Published: July 2022

AbstractTumor necrosis factor-alpha-induced protein 8-like 2 (TIPE2) possesses potent anti-inflammatory effect. However, if TIPE2 ameliorates sciatic nerve injury (SNI)-induced inflammation and pain remains undiscussed, and the underlying role TAK1 in it were unknown. To verify our imagine, we performed SNI surgery, and analyzed expression and colocalization of TIPE2 and TAK1 in spinal cord and dorsal root neurons (DRG) by immunofluorescence staining and western blot. And the biological analysis, inflammatory factors, and pathological improvement were determined, and the regulation of TIPE2 in TAK1, phosphor-NF-κB, phospho-JNK was also tested by immunofluorescence staining and western blot. Experimental results showed the parabola-like change of TIPE2 and rising expression of TAK1 in spinal cord and DRG. And intrathecal TIPE2 injection could significantly improve the status of SNI rats, inhibit level of IL-6, IL-10 and TNF-α, raise the thermal withdrawal relax latency and mechanical withdrawal thresholds. Meanwhile, we also detected how TIPE2 regulated TAK1, and the downstream pathway NF-κB and JNK. The result indicated that TIPE2 could reduce TAK1 expression, and make NF-κB and JNK inactivated. To deeply discuss the potential mechanism, we injected TAK1 oligodeoxynucleotide into rats, and found that TIPE2 exerted the protective role against SNI through TAK1. In brief, TIPE2 reduced expression of TAK1, thereby inhibiting activation of NF-kB and JNK, further improving the neuroinflammation and neuropathic pain. TIPE2 played a protective role in sciatic nerve injury rats through regulating TAK1.
Test power properties of within-firm estimators of ownership and board-related explanatory variables with low time variation
Authors: Boutchkova Maria , Cueto Diego , Gonzalez Angelica 
Published: July 2022

AbstractCorporate governance research is often limited in its ability to employ within-firm estimators, which address time-invariant endogeneity, when the variables of interest exhibit low time variation (for example, ownership and board independence). The problem is further exacerbated if data for multiple points in time needs to be hand-collected. We offer simulation-based methodological guidance to improve the statistical power of within-firm estimators in the presence of low time variation. We illustrate the usefulness of our simulation results by replicating two influential studies on ownership and board independence and extending them with a within-firm estimator. Based on widely used databases as well as a novel granular database, we document the different degrees and nature of time variation of ownership and board independence across jurisdictions and subgroups by listed status, family control and complexity of ownership structure. Researchers can use our findings to optimize the hand-collection and pre-processing of governance data and thereby increase statistical power and/or to distinguish whether lack of significance is due to low time variation as opposed to absence of a true relationship between their governance variable of interest and the respective outcome.
Constructing ecological indices for urban environments using species distribution models
Authors: SIMONS ARIEL LEVI , CALDWELL STEVIE , FU MICHELLE , GALLEGOS JOSE , GATHERU MICHAEL , RICCARDELLI LAURA , TRUONG NHI , VIERA VALERIA 
Published: July 2022

AbstractIn an increasingly urbanized world, there is a need to study urban areas as their own class of ecosystems as well as assess the impacts of anthropogenic impacts on biodiversity. However, collecting a sufficient number of species observations to estimate patterns of biodiversity in a city can be costly. Here we investigated the use of community science-based data on species occurrences, combined with species distribution models (SDMs), built using MaxEnt and remotely-sensed measures of the environment, to predict the distribution of a number of species across the urban environment of Los Angeles. By selecting species with the most accurate SDMs, and then summarizing these by class, we were able to produce two species richness models (SRMs) to predict biodiversity patterns for species in the class Aves and Magnoliopsida and how they respond to a variety of natural and anthropogenic environmental gradients.We found that species considered native to Los Angeles tend to have significantly more accurate SDMs than their non-native counterparts. For all species considered in this study we found environmental variables describing anthropogenic activities, such as housing density and alterations to land cover, tend to be more influential than natural factors, such as terrain and proximity to freshwater, in shaping SDMs. Using a random forest model we found our SRMs could account for approximately 54% and 62% of the predicted variation in species richness for species in the classes Aves and Magnoliopsida respectively. Using community science-based species occurrences, SRMs can be used to model patterns of urban biodiversity and assess the roles of environmental factors in shaping them.
Semantic fluency deficits and associated brain activity in Parkinson’s disease with mild cognitive impairment
Authors: Yang Jihyun , McMahon Katie L , Copland David A , Pourzinal Dana , Byrne Gerard J , Angwin Anthony J , O’Sullivan John D , Dissanayaka Nadeeka N 
Published: July 2022

AbstractPeople living with Parkinson’s disease (PD) with poor verbal fluency have an increased risk of developing dementia. This study examines the neural mechanisms underpinning semantic fluency deficits in patients with PD with mild cognitive impairment (PD-MCI) compared to those without MCI (PD-NC) and control participants without PD (non-PD). Thirty-seven (37) participants with PD completed a cognitive assessment battery to identify MCI (13 PD-MCI). Twenty sex- and age-matched non-PD patients also participated. Participants were scanned (3T Siemens PRISMA) while performing semantic fluency, semantic switching, and automatic speech tasks. The number of responses and fMRI data for semantic generation and semantic switching were analyzed. Participants also completed a series of verbal fluency tests outside the scanner, including letter fluency. Participants with PD-MCI performed significantly worse than PD-NC and non-PD participants during semantic fluency and semantic switching tasks. PD-MCI patients showed greater activity in the right angular gyrus than PD-NC and non-PD patients during semantic switching. Increased right angular activity correlated with worse verbal fluency performance outside the scanner. Our study showed that the PD-MCI group performed worse on semantic fluency than either the PD-NC or non-PD groups. Increased right angular gyrus activity in participants with PD-MCI during semantic switching suggests early compensatory mechanisms, predicting the risk of future dementia in PD.
Sex and gender differences in community-acquired pneumonia
Authors: Corica Bernadette , Tartaglia Francesco , D’Amico Tania , Romiti Giulio Francesco , Cangemi Roberto 
Published: July 2022

AbstractAwareness of the influence of sex ands gender on the natural history of several diseases is increasing. Community-acquired pneumonia (CAP) is the most common acute respiratory disease, and it is associated with both morbidity and mortality across all age groups. Although a role for sex- and gender-based differences in the development and associated complications of CAP has been postulated, there is currently high uncertainty on the actual contribution of these factors in the epidemiology and clinical course of CAP. More evidence has been produced on the topic during the last decades, and sex- and gender-based differences have also been extensively studied in COVID-19 patients since the beginning of the SARS-CoV-2 pandemic. This review aims to provide an extensive outlook of the role of sex and gender in the epidemiology, pathogenesis, treatment, and outcomes of patients with CAP, and on the future research scenarios, with also a specific focus on COVID-19.
Pilot-Scale Ensilaging of Herring Filleting Co-Products and Subsequent Separation of Fish Oil and Protein Hydrolysates
Authors: Sajib Mursalin , Trigo João P. , Abdollahi Mehdi , Undeland Ingrid 
Published: July 2022

AbstractIn this study, ensilaging of herring (Clupea harengus) filleting co-products was taken from lab-scale to pilot scale (1500 L) while monitoring the protein degree of hydrolysis (DH) and lipid oxidation. Subsequently, the possibility of recovering fish oil and protein hydrolysates using batch centrifugation at different g-forces/times was investigated. Around 38% DH was recorded after 2-day pilot-scale ensilaging of herring co-products at ambient temperature (i.e., ~ 22 °C), which was similar to the DH found in lab-scale (40% after 2 days; 22 °C). The lipid oxidation marker 2-thiobarbituric acid reactive substances (TBARS) reached 20 µmole TBARS/kg silage after 2-day ensilaging. Centrifugation of the silage at 3000–8500 × g for 2–20 min revealed successful separation into fish oil and protein hydrolysates. Heat-treating the silage (85 °C; 30 min) prior to centrifugation resulted in significantly higher oil and hydrolysates recoveries; the same being true for increased g-force. At 8500 × g, the recovery of oil and hydrolysates were 9.7 and 53.0% w/w, respectively, from heat-treated silage, while recoveries were 4.1 and 48.1% w/w, respectively, from non-heat treated silage. At 4500 × g, being a more scalable approach, corresponding numbers were 8.2 and 47.1% (w/w) as well as 2.0 and 40.2% (w/w). The recovered fish oil contained 8% EPA and 11% DHA of total fatty acids. Free fatty acids (FFA), peroxide value (PV), p-anisidine value (p-AV), and total oxidation (TOTOX) values of oils were in the range of 4–7% (FFA), 3.6–3.7 meq/kg oil (PV), 2.5–4.0 (p-AV), and 9.9–11.1 (TOTOX), respectively, which were within the acceptable limits for human consumption specified by the GOED voluntary monograph. The recovered protein hydrolysates contained peptides in the molecular weight range 0.3–6 kDa (~ 37%) and 11–34 kDa (~ 63%). Also, the remaining solids contained 15–17% (w/w) protein, having 44–45% essential amino acids. Overall, the results suggest that herring co-product silage is a valuable source of fish oil and protein hydrolysates, paving the way for ensilaging based-biorefining of herring co-products into multiple products.
Recidivism Outcomes Under a Shifting Continuum of Control
Authors: Bird Mia , Nguyen Viet , Grattet Ryken 
Published: July 2022

Abstract
Criminal justice systems across the United States are reducing reliance on prison incarceration and moving toward more local and noncustodial types of responses to felony offenders. Rather than wholesale decarceration, states and counties are shifting felons along what we call a “continuum of control,” which allows for people who previously might have been incarcerated in state prison to be sentenced to jail, jail plus probation, or probation without a custodial spell. With some notable exceptions, existing research has focused primarily on contrasting prison versus community placements and ignored the intermediary alternatives between the poles of the continuum. In this study, we compare the recidivism outcomes of felons sentenced to prison versus those sentenced to jail, jail plus probation, and probation alone. On balance, our findings show that jail incarceration results in the same or lower rearrest and reconviction rates than incarceration in prison. We also find consistent evidence that while rearrests are frequently higher for probation with or without a jail spell, reconvictions are consistently lower for similarly situated offenders than prison. These findings provide partial evidence in support of policies that move people convicted of felonies to less costly, more local, and less confining alternatives than prison.
Character strengths, moral motivation and vocational identity in adolescents and young adults: a scoping review
Authors: Villacís Jorge L. , Naval Concepción , De la Fuente Jesús 
Published: July 2022

AbstractPast reviews have examined the association between positive personality traits known as character strengths and work-related outcomes. However, little is known about the role of positive traits in the pre-career stage. This study aims to fill this gap by mapping the peer-reviewed literature on the relationships between character strengths, moral motivation and vocational identity in adolescents and young adult students. Scopus and Web of Science databases were used to identify English written sources published between 1980 and October 2020. Documents had to include one of the 24 positive psychology character strengths or a moral motivation construct (moral reasoning, moral identity or moral emotions) and one vocational identity process (commitment, exploration or reconsideration). 136 documents were selected (123 quantitative, 8 qualitative, and 5 theoretical). 15 strengths were studied together with a vocational identity process. The most investigated strengths were prudence (27.9%) curiosity (20.6%), hope (20.6%) and love (19.9%). Only one moral motivation construct (the moral emotion of empathy) was associated with vocational commitment. Four character strengths were the most studied in association with vocational identity. These strengths coincided with some skills and competencies promoted in career counselling. Some suggestions for future research on vocational development and character education are stated.
Motivational mindsets, mindset churn and academic performance: The role of a goal-setting intervention and purpose in life
Authors: Hudig Job , Scheepers Ad W. A. , Schippers Michaéla C. , Smeets Guus 
Published: July 2022

AbstractThe motivational mindset model (MMM) is a new student-centered, multidimensional perspective on motivation in higher education and aims to better explain differences in wellbeing, study success and intervention effectiveness. The four types of mindsets within the model (high-impact, low-impact, social-impact, and self-impact) have proven to differ in two important dimensions of wellbeing and predictors of study success, namely a sense of purpose in life and study engagement. The present study expands the MMM by (1) examining the relationship between the mindsets and academic performance, (2) observing the mindset churn in the first year, and (3) exploring the role of the mindsets in the effectiveness of an online, narrative goal-setting intervention. To this end, the mindset of 748 first-year university students was measured at the beginning and the end of the first academic year. Results show that the mindset churn was considerable: on average 58% of the students had changed their mindset at follow-up. Results further show that students with a low-impact mindset at follow-up were more likely to drop out of the first year compared to the other three mindsets. Finally, a group of low-impact mindset students show an increased sense of purpose after participating in the goal-setting intervention and moved to a social-impact mindset during the year. This pattern provides preliminary support that the goal-setting intervention is a purpose-fostering intervention for students entering higher education with a low-impact mindset. A potential working mechanism of the goal-setting intervention is discussed as well as implications and directions for future research.
A mathematical analysis of EDAs with distance-based exponential models
Authors: Unanue Imanol , Merino María , Lozano Jose A. 
Published: July 2022

AbstractEstimation of Distribution Algorithms have been successfully used to solve permutation-based Combinatorial Optimization Problems. In this case, the algorithms use probabilistic models specifically designed for codifying probability distributions over permutation spaces. One class of these probability models are distance-based exponential models, and one example of this class is the Mallows model. In spite of its practical success, the theoretical analysis of Estimation of Distribution Algorithms for permutation-based Combinatorial Optimization Problems has not been developed as extensively as it has been for binary problems. With this motivation, this paper presents a first mathematical analysis of the convergence behavior of Estimation of Distribution Algorithms based on Mallows models. The model removes the randomness of the algorithm in order to associate a dynamical system to it. Several scenarios of increasing complexity with different fitness functions and initial probability distributions are analyzed. The obtained results show: a) the strong dependence of the final results on the initial population, and b) the possibility to converge to non-degenerate distributions even in very simple scenarios, which has not been reported before in the literature.
Indexing complex networks for fast attributed kNN queries
Authors: Kobayashi Suomi , Matsugu Shohei , Shiokawa Hiroaki 
Published: July 2022

AbstractThe k nearest neighbor (kNN) query is an essential graph data-management tool used for finding relevant data entities suited to a user-specified query node. Graph indexing methods have the potential to achieve a quick kNN search response and thus are promising approaches. However, they struggle to handle large-scale attributed complex networks. This is because constructing indices and querying kNN nodes in large-scale networks are computationally expensive, and they are not designed to handle node attributes included in the networks. In this paper, we propose a novel graph indexing algorithm, namely CT index, for fast kNN queries on large complex networks. To overcome the aforementioned limitations, our algorithm generates two types of indices based on the topological properties of complex networks. In addition, we further propose BAG index along with CT index so that our algorithm enables to explore kNN nodes based on the attribute similarity. Our extensive experiments on real-world graphs show that our algorithm achieves up to 18,074 times faster indexing and 146 times faster kNN query than other state-of-the-art methods.
Explanations of the political gridlock behind international circular economy: Waste Ban narratives in the China-EU cooperation
Authors: Luo Anran , Rodríguez Fabricio , Leipold Sina 
Published: July 2022

AbstractChina and the European Union (EU) signed the first international circular economy (CE) agreement shortly after China issued the ‘Waste Ban’ (WB) on the import of 24 categories of solid waste. While the WB gained global attention, limited research addresses its political implications for international CE. Based on 72 expert interviews, 52 documents and participant observation, we study political WB narratives and corresponding perceptions of ‘Chinese’ and ‘European’ agency in the China-EU case. Our results show a political gridlock in China-EU CE coordination: the main narratives on the WB diverge on the very roles and rules of CE cooperation, scales of implementation, and the assessment criteria for environmentally and socially sustainable CE(s). To enable fruitful CE cooperation, we suggest three critical points for reflection and negotiation: (1) overcome ‘student–teacher’ roles rooted in linear development that run counter to CE ideas; (2) reconsider the focus on international and national waste diversion, instead of local waste prevention, that propels global waste markets sustained by increasing waste volumes; and (3) evaluate both the benefits and impediments of (new) trade relations for a CE cooperation that contributes to environmental and social sustainability.
A crisis in search of a narrative: Australia, COVID-19 and the subjectification of teachers and students in the national interest
Authors: Crome Jennifer 
Published: July 2022

AbstractForce majeure circumstances, such as those witnessed in the COVID-19 pandemic, have been used to justify new technologies of governance as policy-makers around the world began to realise the magnitude of the problem and its political implications. In Australia, the coronavirus crisis focussed attention on the vital role education plays in society and was used as an opportunity by policy-makers to reinforce an agenda that, over the past two decades, has tied education policy-making to the economy and ‘national interest’. Indeed, Australia’s growing federal involvement, with respect to schooling policy was continued in the pandemic as the Australian Prime Minister (PM) created a national cabinet to deal with the crisis, consisting of the PM and state and territory leaders. However, despite the ongoing ambition of a national policy agenda pursued by federal policy-makers, fault lines appeared. Informed by Foucauldian notions of discourse, governmentality and biopolitics, this paper explores how Australia’s federal Coalition government endeavoured to manage the population at the outset of the pandemic and subjectified teachers as responsible in the service of the economy. While COVID-19 was a crisis in search of a narrative, federal policy-makers experienced pushback as state and territory leaders assumed control and teachers refused subject positions.
Weak compactness and representation in variable exponent Lebesgue spaces on infinite measure spaces
Authors: Hernández Francisco L. , Ruiz César , Sanchiz Mauro 
Published: July 2022

AbstractRelative weakly compact sets and weak convergence in variable exponent Lebesgue spaces $${L^{p(\cdot )}(\Omega )}$$

L

p
(
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(
Ω
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for infinite measure spaces $$(\Omega ,\mu )$$

(
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are characterized. Criteria recently obtained in [14] for finite measures are here extended to the infinite measure case. In particular, it is showed that the inclusions between variable exponent Lebesgue spaces for infinite measures are never L-weakly compact. A lattice isometric representation of $${L^{p(\cdot )}(\Omega )}$$

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p
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as a variable exponent space $$L^{q(\cdot )}(0,1)$$

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q
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(
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is given.