bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing dispersal initiation and timing in a facultative cooperative breeder
Authors: Dietz Samantha L , DuVal Emily H , Cox James A 
Published: March 2022

AbstractNatal dispersal is a high-risk endeavor where decisions on whether and when to disperse have long-term consequences. Among facultative cooperative breeders, juveniles often forego dispersal and remain philopatric for one or more breeding seasons. This decision is key to the formation of cooperative breeding groups and could have significant effects on reproductive success. We investigated the probability and initiation of dispersal in the cooperatively breeding Brown-headed Nuthatch (Sitta pusilla) to determine the influence that social environments had on dispersal. This study was concurrent with another study where manipulation of population sex ratios increased the prevalence and size of cooperative groups. The concurrent manipulations enabled us to evaluate social effects on dispersal as a plausible mechanism driving the relationship between adult sex ratios and cooperation. We evaluated which factors best predicted whether males dispersed, and the timing of dispersal for both sexes. We considered variables related to the immediate nesting environment as well as characteristics of the local population. Social environments were related to dispersal for both males and females. Juvenile males dispersed earlier when a helper was present in the natal group. Females dispersed earlier in settings with more adult neighbors and when a lower proportion of those neighbors were males. Females with shorter tarsi relative to their siblings dispersed earlier, suggesting that size-based competitive interactions may also affect dispersal decisions. Our results suggest juveniles disperse more readily when they fledge in constrained social environments, and that competition with conspecifics is a major driver of dispersal in the Brown-headed Nuthatch.
Risks for donors associated with living kidney donation: meta-analysis
Authors: Bellini Maria Irene , Nozdrin Mikhail , Pengel Liset , Knight Simon , Papalois Vassilios 
Published: March 2022

Abstract

Background
Living kidney donation risk is likely to differ according to donor’s demographics. We aimed to analyse the effects of age, sex, body mass index (BMI) and ethnicity.

Methods
A systematic review and meta-analysis was undertaken of the effects of preoperative patient characteristics on donor kidney function outcomes, surgical complications, and hypertension.

Results
5129 studies were identified, of which 31 met the inclusion criteria, mainly from the USA and Europe. The estimated glomerular filtration rate (eGFR) in donors aged over 60 years was a mean of 9.54 ml per min per 1.73 m2 lower than that of younger donors (P &lt; 0.001). Female donors had higher relative short- and long-term survival. BMI of over 30 kg/m2 was found to significantly lower the donor’s eGFR 1 year after donation: the eGFR of obese donors was lower than that of non-obese patients by a mean of −2.70 (95 per cent c.i. −3.24 to −2.15) ml per min per 1.73 m2 (P &lt; 0.001). Obesity was also associated with higher blood pressure both before and 1 year after donation, and a higher level of proteinuria, but had no impact on operative complications. In the long term, African donors were more likely to develop end-stage renal disease than Caucasians.

Conclusion
Obesity and male sex were associated with inferior outcomes. Older donors (aged over 60 years) have a larger eGFR decline than younger donors, and African donors have a higher incidence of ESRD than Caucasians.
Immunotherapeutic targeting of activating natural killer cell receptors and their ligands in cancer
Authors: Peipp Matthias , Klausz Katja , Boje Ammelie Svea , Zeller Tobias , Zielonka Stefan , Kellner Christian 
Published: March 2022

Summary
Natural killer (NK) cells exert an important role in cancer immune surveillance. Recognition of malignant cells and controlled activation of effector functions are facilitated by the expression of activating and inhibitory receptors, which is a complex interplay that allows NK cells to discriminate malignant cells from healthy tissues. Due to their unique profile of effector functions, the recruitment of NK cells is attractive in cancer treatment and a key function of NK cells in antibody therapy is widely appreciated. In recent years, besides the low-affinity fragment crystallizable receptor for immunoglobulin G (FcγRIIIA), the activating natural killer receptors p30 (NKp30) and p46 (NKp46), as well as natural killer group 2 member D (NKG2D), have gained increasing attention as potential targets for bispecific antibody-derivatives to redirect NK cell cytotoxicity against tumors. Beyond modulation of the receptor activity on NK cells, therapeutic targeting of the respective ligands represents an attractive approach. Here, novel therapeutic approaches to unleash NK cells by engagement of activating NK-cell receptors and alternative strategies targeting their tumor-expressed ligands in cancer therapy are summarized.
Connectome-based predictive modeling of compulsion in obsessive–compulsive disorder
Authors: Wu Xiangshu , Yang Qiong , Xu Chuanyong , Huo Hangfeng , Seger Carol A , Peng Ziwen , Chen Qi 
Published: March 2022

AbstractCompulsion is one of core symptoms of obsessive–compulsive disorder (OCD). Although many studies have investigated the neural mechanism of compulsion, no study has used brain-based measures to predict compulsion. Here, we used connectome-based predictive modeling (CPM) to identify networks that could predict the levels of compulsion based on whole-brain functional connectivity in 57 OCD patients. We then applied a computational lesion version of CPM to examine the importance of specific brain areas. We also compared the predictive network strength in OCD with unaffected first-degree relatives (UFDR) of patients and healthy controls. CPM successfully predicted individual level of compulsion and identified networks positively (primarily subcortical areas of the striatum and limbic regions of the hippocampus) and negatively (primarily frontoparietal regions) correlated with compulsion. The prediction power of the negative model significantly decreased when simulating lesions to the prefrontal cortex and cerebellum, supporting the importance of these regions for compulsion prediction. We found a similar pattern of network strength in the negative predictive network for OCD patients and their UFDR, demonstrating the potential of CPM to identify vulnerability markers for psychopathology.
Mataioponēmata: the politics of failure in translating theAeneidin eighteenth- and nineteenth-century Greece
Authors: Papaioannou Sophia 
Published: March 2022

AbstractThe composition of translations of Classical texts in the nineteenth-century Greek state was a complex issue entwined with politics, ideology, and the cultural identity of the new nation that sought to construct its identity by looking back towards its glorious Classical Greek past. It is, moreover, an issue tied to the so-called ‘language question’, the ardent debate on the type of the national Greek language (archaizing Greek, katharevousa, or demotiki). The intellectual elite of the new nation-state, led by the professoriate of the newly founded Ottonian University and a number of influential Greek intellectuals of the Diaspora tried to acquaint the newly-liberated Greeks with the classical writers of antiquity primarily through education. Since these elites favoured the katharevousa, a conservative construct of the spoken Greek language fashioned as a compromise between Classical Greek and the spoken vernacular of the time, the produced translations of the ancient authors had limited appeal across time, and they never aspired to address an audience beyond academia. Thus, all translations of the Aeneid published in Greece during the eighteenth and nineteenth centuries were literary failures. They were never meant to be read independently from the original Latin, and, inevitably, were largely forgotten following the death of their authors.
SwissBioPics—an interactive library of cell images for the visualization of subcellular location data
Authors: Le Mercier Philippe , Bolleman Jerven , de Castro Edouard , Gasteiger Elisabeth , Bansal Parit , Auchincloss Andrea H , Boutet Emmanuel , Breuza Lionel , Casals-Casas Cristina , Estreicher Anne , Feuermann Marc , Lieberherr Damien , Rivoire Catherine , Pedruzzi Ivo , Redaschi Nicole , Bridge Alan 
Published: March 2022

AbstractSwissBioPics (www.swissbiopics.org) is a freely available resource of interactive, high-resolution cell images designed for the visualization of subcellular location data. SwissBioPics provides images describing cell types from all kingdoms of life—from the specialized muscle, neuronal and epithelial cells of animals, to the rods, cocci, clubs and spirals of prokaryotes. All cell images in SwissBioPics are drawn in Scalable Vector Graphics (SVG), with each subcellular location tagged with a unique identifier from the controlled vocabulary of subcellular locations and organelles of UniProt (https://www.uniprot.org/locations/). Users can search and explore SwissBioPics cell images through our website, which provides a platform for users to learn more about how cells are organized. A web component allows developers to embed SwissBioPics images in their own websites, using the associated JavaScript and a styling template, and to highlight subcellular locations and organelles by simply providing the web component with the appropriate identifier(s) from the UniProt-controlled vocabulary or the ‘Cellular Component’ branch of the Gene Ontology (www.geneontology.org), as well as an organism identifier from the National Center for Biotechnology Information taxonomy (https://www.ncbi.nlm.nih.gov/taxonomy). The UniProt website now uses SwissBioPics to visualize the subcellular locations and organelles where proteins function. SwissBioPics is freely available for anyone to use under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.Database URLwww.swissbiopics.org
Safety of Recombinant Zoster Vaccine in Patients with Inflammatory Bowel Disease
Authors: Khan Nabeel , Trivedi Chinmay , Aberra Faten , Pernes Tyler , Yang Yu-Xiao 
Published: March 2022

Abstract

Background and Aims
Patients with inflammatory bowel disease [IBD] have an increased risk of contracting herpes zoster [HZ] infection. However, vaccination rates for HZ are low among IBD patients. A contributing factor may be fear of an IBD flare associated with vaccination. Our aim here was to evaluate if recombinant zoster vaccine [RZV] is associated with an IBD flare.

Methods
This was a retrospective cohort study using data from the Veterans Affairs Healthcare System [VAHS]. The exposure of interest was receiving RZV. We randomly matched such exposed patients with unexposed individuals. The primary outcome was the first episode of IBD flare within 90 days of the index date. Baseline characteristics were compared between groups using a t-test for continuous variables and Chi-square test for categorical variables. Conditional logistic regression was used to estimate the odds ratio [OR] and 95% confidence interval [CI].

Results
Among the eligible study cohort, 1677 patients received RZV. Thirty-six patients, 20 in the exposed group and 16 in the unexposed group, had a confirmed flare by chart review. The 90-day cumulative incidence of IBD flare was not different between the vaccinated and unvaccinated groups [1.2% among those exposed vs 1.0% among those unexposed, p = 0.503]. The OR for IBD flare associated with RZV vaccination was 1.25 [95% CI: 0.65–2.41].

Conclusion
In a nationwide cohort of stable IBD patients, administration of RZV was not associated with the risk of IBD flare within 90 days. These findings should motivate further use of this highly effective vaccine.
Estimation and inference on treatment effects under treatment-based sampling designs
Authors: Song Kyungchul , Yu Zhengfei 
Published: March 2022

Summary
Causal inference in a programme evaluation setting faces the problem of external validity when the treatment effect in the target population is different from the treatment effect identified from the population of which the sample is representative. This paper focuses on a situation where such discrepancy arises by a stratified sampling design based on the individual treatment status and other characteristics. In such settings, the design probability is known from the sampling design but the target population depends on the underlying population share vector, which is often unknown, and, except for special cases, the treatment effect parameters are not identified. In this paper we propose a method of constructing confidence sets that are valid for a given range of population shares. When a benchmark population share vector and a corresponding estimator of a treatment effect parameter are given, we develop a method to discover the scope of external validity with familywise error rate control. Finally, we derive an optimal sampling design that minimizes the semiparametric efficiency bound given a population share associated with a target population. We provide Monte Carlo simulation results and an empirical application to demonstrate the usefulness of our proposals.
Effect of Ambient Bright Light on Behavioral and Psychological Symptoms in People With Dementia: A Systematic Review
Authors: Jao Ying-Ling , Wang Julian , Liao Yo-Jen , Parajuli Jyotsana , Berish Diane , Boltz Marie , Van Haitsma Kimberly , Wang Nan , McNally Lauren , Calkins Margaret 
Published: March 2022

Abstract

Background and Objectives
Behavioral and psychological symptoms of dementia (BPSD) commonly occur in persons living with dementia. Bright light (BL) interventions have shown some positive impact on BPSD. Ambient lighting is a more efficient approach to delivering BL with better compliance and less staff workload than individual-based lighting interventions. Yet, its effect has not been systematically reviewed. This review synthesized research evidence on the effect of ambient BL on BPSD.

Research Design and Methods
This review searched literature from PubMed (Medline), CINAHL, Scopus, Web of Science, and Cochrane in February 2021. Original research testing the effect of ambient BL on BPSD in persons with dementia was included. Two reviewers independently screened, extracted data, and assessed the quality of each article.

Results
Nine studies were reviewed with 1 randomized controlled trial and 8 quasi-experimental studies. The sample size ranged from 14 to 89 participants across care settings. While not all studies showed positive results, evidence from multiple studies revealed the positive effect of ambient BL on depressive symptoms and agitation in persons with dementia. The ambient BL that showed a positive effect targeted at approximately 350–750 lux, 4,500–9,325 K, and/or circadian stimulus = 0.375–0.4 for 10–12 hr a day for 4 weeks or longer. Evidence on other BPSD was mixed or too limited to draw conclusions.

Discussion and Implications
A preponderance of evidence suggests that, when properly designed and implemented, ambient BL shows promise in reducing depressive symptoms and agitation. Future research, using more rigorous designs, is needed to further test the effect of ambient BL on BPSD with attention to lighting parameters, measurement approaches, and intervention fidelity.
Application of an unbalanced optimal transport distance and a mixed L1/Wasserstein distance to full waveform inversion
Authors: Li Da , Lamoureux Michael P , Liao Wenyuan 
Published: March 2022

SUMMARY
Full waveform inversion (FWI) is an important and popular technique in subsurface Earth property estimation. In this paper, several improvements to the FWI methodology are developed and demonstrated with numerical examples, including a simple two-layer seismic velocity model, a cross borehole Camembert model and a surface seismic Marmousi model. We introduce an unbalanced optimal transport (UOT) distance with Kullback–Leibler divergence to replace the L2 distance in the FWI problem. Also, a mixed L1/Wasserstein distance is constructed that preserves the convex properties with respect to shift, dilation, and amplitude change operation. An entropy regularization approach and convolutional scaling algorithms are used to compute the distance and the gradient efficiently. Two strategies of normalization methods that transform the seismic signals into non-negative functions are discussed. The numerical examples are then presented at the end of the paper.
Information and communication technologies and firms’ export performance
Authors: Añón Higón Dolores , Bonvin Daniel 
Published: March 2022

Abstract
This study empirically examines the enabling role played by the use of information and communication technologies (ICT) on the firms’ export participation and the intensity with which they sell abroad. Using a representative panel of Spanish manufacturing firms between 2000 and 2014, we contribute to the literature by estimating a series of dynamic models that analyze the direct and indirect (via productivity) effects of ICT use on firms’ export performance. Overall, our results suggest that firms that use ICT, and in particular those that have a website, experience a direct increase in their probability of exporting, but not in their export intensity. Nevertheless, ICT increases export intensity indirectly through the productivity channel.
Investigation of the potential association between the use of fluoxetine and occurrence of acute pancreatitis: a Danish register-based cohort study
Authors: Aakjær Mia , Kristiansen Sarah Brøgger , Pape Kathrine , Sessa Maurizio , Dalhoff Kim Peder , De Bruin Marie Louise , Andersen Morten 
Published: March 2022

AbstractBackgroundThere is currently conflicting evidence of the association between the use of selective serotonin reuptake inhibitors (SSRIs) and acute pancreatitis. The SSRI fluoxetine has been suspected to be the driver of this serious outcome. Therefore, this study aims to investigate the potential association between fluoxetine use and the occurrence of acute pancreatitis.MethodsWe conducted a nationwide cohort study using Danish register-based data from 1996 to 2016. The exposed group were new users of fluoxetine (1-year washout). The control subjects were new users of citalopram or SSRIs, excluding fluoxetine. The outcome was an incident diagnosis of acute pancreatitis with a 5-year washout. We used an intention-to-treat approach following patients for a maximum of 6 months. Cox regression analyses were performed, estimating hazard ratios (HRs) and 95% confidence intervals (CIs) adjusted for age/sex, comorbidities and co-medications, using propensity score adjustment and matching.ResultsIn the propensity score-matched analyses, 61 783 fluoxetine users were included. The incidence rates among users of fluoxetine and other SSRIs were 5.33 (3.05–8.66) and 5.36 (3.06–8.70) per 10 000 person-years, respectively. No increased risk of acute pancreatitis was identified following fluoxetine exposure compared with either citalopram [HR 1.00, 95% CI 0.50–2.00) or other SSRIs (0.76, 0.40–1.46).ConclusionsFluoxetine use was not associated with an increased risk of acute pancreatitis compared with citalopram or other SSRIs. The absolute risk of acute pancreatitis was low and did not vary between different SSRIs. Further research is needed to determine whether there is a class effect on the risk of acute pancreatitis.
The D2-like Dopamine Receptor Agonist Quinpirole Microinjected Into the Ventral Pallidum Dose-Dependently Inhibits the VTA and Induces Place Aversion
Authors: Peczely Laszlo , Ollmann Tamas , Laszlo Kristof , Lenard Laszlo , Grace Anthony A 
Published: March 2022

Abstract

Background
The ventral pallidum (VP) is a dopaminoceptive forebrain structure regulating the ventral tegmental area (VTA) dopaminergic population activity. We have recently demonstrated that in the VP, the D2-like dopamine (DA) receptor agonist quinpirole dose dependently facilitates memory consolidation in inhibitory avoidance and spatial learning. According to our hypothesis, quinpirole microinjected into the VP can modulate the VTA DAergic activity and influence motivation and learning processes of rats.

Methods
Quinpirole was microinjected at 3 different doses into the VP of male rats, and controls received vehicle. Single unit recordings were employed to assess VTA DAergic activity. To investigate the possible reinforcing or aversive effect of quinpirole in the VP, the conditioned place preference paradigm was used.

Results
Our results showed that intra-VP quinpirole microinjection regulates VTA DAergic neurons according to an inverted U-shaped dose-response curve. The largest dose of quinpirole decreased the population activity and strongly reduced burst activity of the DAergic neurons in the first hour after its application. In contrast, the 2 smaller doses increased DA population activity, but their effect started with a delay 1 hour after their microinjection. The CPP experiments revealed that the largest dose of quinpirole in the VP induced place aversion in the rats. Furthermore, the largest dose of quinpirole induced an acute locomotor activity reduction, while the medium dose led to a long-duration increase in locomotion.

Conclusions
In summary, quinpirole dose dependently regulates VTA DAergic activity as well as the motivation and motor behavior of the rats at the level of the VP.
Betti Structures of Hypergeometric Equations
Authors: Barco Davide , Hien Marco , Hohl Andreas , Sevenheck Christian 
Published: March 2022

Abstract
We study Betti structures in the solution complexes of confluent hypergeometric equations. We use the framework of enhanced ind-sheaves and the irregular Riemann–Hilbert correspondence of D’Agnolo–Kashiwara. The main result is a group theoretic criterion that ensures that enhanced solutions of such systems are defined over certain subfields of $\mathds{ C}$. The proof uses a description of the hypergeometric systems as exponentially twisted Gauß–Manin systems of certain Laurent polynomials.