bluuebunny/crossref_metadata_2025_split huggingface dataset:
Amnion membranes support wound granulation in a delayed murine excisional wound model
Authors: Dolivo David , Xie Ping , Sun Lauren , Hou Chun , Phipps Abigail , Mustoe Thomas A. , Hong Seok Jong , Galiano Robert D. 
Published: November 2022

AbstractChronic or delayed healing wounds constitute an ever‐increasing burden on healthcare providers and patients alike. Thus, therapeutic modalities that are tailored to particular deficiencies in the delayed wound healing response are of critical importance to improve clinical outcomes. Human amnion‐derived viable and devitalized allografts have demonstrated clinical efficacy in promoting the closure of delayed healing wounds, but the mechanisms responsible for this efficacy and the specific wound healing processes modulated by these tissues are not fully understood. Here, we utilized a diabetic murine excisional wound model in which healing is driven by granulation and re‐epithelialization, and we applied viable (vHAMA) or devitalized (dHAMA) amnion‐derived allografts to the wound bed in order to determine their effects on wound healing processes. Compared to control wounds that were allowed to heal in the absence of treatment, wounds to which vHAMA or dHAMA were applied demonstrated enhanced deposition of granulation tissue accompanied by increased cellular proliferation and increased de novo angiogenesis, while vHAMA‐treated wounds also demonstrated accelerated re‐epithelialization. Taken together, these data suggest that both vHAMA and dHAMA facilitate wound healing through promoting processes critical to granulation tissue formation. Further understanding of the cellular and tissue mechanisms underlying the effects of tissue‐derived matrices on wound healing will enable tailored prescription of their use in order to maximize clinical benefit.
Clinicians and supervisors' experiences with developing practices of open dialogue in network meetings in public mental health services
Authors: Jacobsen Ritva Kyrrø , Karlsson Bengt , Grov Ellen Karine 
Published: November 2022

AbstractOpen Dialogue is a dialogical approach focusing on the perspectives of patients and their social networks on treatment and recovery processes. As part of a larger research project, this prospective cohort study explores what promotes and hinders the development of Open Dialogue in network meetings (ODNM) based on the experiences of thirty‐seven clinicians and seven supervisors. Multistage focus group interviews were used to collect data and were analysed thematically. We generated two main themes: (1) togetherness and isolation and (2) challenging and evolving. The findings show that ODNM can be developed in public mental healthcare, but this leads to both challenges and opportunities at the organisational level, such as conflicting perspectives, the difficulty of maintaining interest in ODNM, the need for committed and involved leaders, and the growing change in the traditional view of treatment, which has made clinicians collaborate more with patients and their relatives.
Reducing day‐level emotional exhaustion: The complementary role of high involvement work systems and engaging leadership
Authors: Kilroy Steven , Fu Na , Bosak Janine , Hayes Richard , Schaufeli Wilmar 
Published: November 2022

AbstractHigh involvement work systems (HIWS) have been found to be improve employee well‐being. The underlying processes through which HIWS influence employee well‐being and the conditions under which these practices work are not fully understood. This study draws on job demands‐resources theory to address this gap by theorising two novel mediators, that is, work pressure and bonding social capital, to explain how HIWS influence emotional exhaustion. We further proposed that engaging leadership as a proxy of line manager implementation of HIWS would strengthen these relationships. An integrated model is presented on how, why, and when HIWS influence employee well‐being. Using data collected from 97 employees in a pharmaceutical company via a general survey and then a diary survey for 5 working days, this study found that HIWS alleviated day‐level emotional exhaustion through their experience of higher day‐level bonding social capital and lower day‐level work pressure and these relationships were stronger under high level of engaging leadership.
Usefulness of endocytoscopy in evaluating transbronchial biopsy specimens
Authors: Okuno Takae , Kurimoto Noriaki , Tanino Akari , Hamaguchi Megumi , Hotta Takamasa , Tanino Ryosuke , Kobayashi Misato , Shiratsuki Yohei , Hamaguchi Shunichi , Isobe Takeshi , Tsubata Yukari 
Published: November 2022

AbstractBackgroundEndocytoscopy (ECS) provides a magnification of approximately 450× for real‐time observation of lesion nuclei.Using ECS, we aimed to evaluate whether sufficient samples for diagnosis can be obtained during bronchoscopy. We also investigated whether ECS can enable two‐class diagnosis of malignant or non‐malignant transbronchial biopsy specimens in real‐time during bronchoscopy.MethodsThis was a single‐facility, prospective, observational, ex vivo study. Forty cases with localized peripheral pulmonary lesions underwent transbronchial biopsy with endobronchial ultrasonography using a guide sheath. Each biopsy specimen was immediately observed and evaluated endocytoscopically after the collection by the bronchoscopic procedure.ResultsThirty‐seven cases were enrolled. The diagnostic accuracy achieved by ECS was 91.9% (34/37). The agreement rate between the endocytoscopic evaluation and pathological diagnosis of each specimen (170 specimens) was 65.3% (111/170). The median time required for endocytoscopic evaluation per specimen was 70 s. When we judged a specimen to be malignant a second time on ECS evaluations of five specimens in one case, pathologically malignant specimens were collected in 26 of 27 cases (96.3%).ConclusionsECS with methylene blue staining may aid in the two‐class diagnosis of malignant or non‐malignant transbronchial biopsy specimens during bronchoscopy. This may reduce the number of tissue biopsies.
Enforcement of Non‐Compete Agreements, Outside Employment Opportunities, and Insider Trading*
Authors: Gao Bo , Guo Feng , Lisic Ling Lei , Omer Thomas 
Published: November 2022

ABSTRACTEnforcement of non‐compete agreements could affect executives' and directors' incentives to profit from their information advantage. This is because excessive trading profits could result in job termination, which would trigger the restrictions imposed by the non‐compete agreements. We find that executives' and directors' insider trading profits from sales are lower for companies headquartered in states with greater enforcement of non‐compete agreements. The path analyses suggest that high enforcement of non‐compete agreements disincentivizes managers to profit from their information advantage to avoid the possibility of job termination and the cost of job terminations. We also find that insiders in companies headquartered in states with greater enforcement of non‐compete agreements are less likely to exploit their information advantage by timing their sales before unfavorable corporate earnings announcements. The results suggest that enforcement of non‐compete agreements reduces executives' and directors' incentives by imposing costs on future outside employment opportunities.
Ten (mostly) simple rules to future‐proof trait data in ecological and evolutionary sciences
Authors: Keller Alexander , Ankenbrand Markus J. , Bruelheide Helge , Dekeyzer Stefanie , Enquist Brian J. , Erfanian Mohammad Bagher , Falster Daniel S. , Gallagher Rachael V. , Hammock Jennifer , Kattge Jens , Leonhardt Sara D. , Madin Joshua S. , Maitner Brian , Neyret Margot , Onstein Renske E. , Pearse William D. , Poelen Jorrit H. , Salguero‐Gomez Roberto , Schneider Florian D. , Tóth Anikó B. , Penone Caterina 
Published: November 2022

Abstract

Traits have become a crucial part of ecological and evolutionary sciences, helping researchers understand the function of an organism's morphology, physiology, growth and life history, with effects on fitness, behaviour, interactions with the environment and ecosystem processes. However, measuring, compiling and analysing trait data comes with data‐scientific challenges.

We offer 10 (mostly) simple rules, with some detailed extensions, as a guide in making critical decisions that consider the entire life cycle of trait data.

This article is particularly motivated by its last rule, that is, to propagate good practice. It has the intention of bringing awareness of how data on the traits of organisms can be collected and managed for reuse by the research community.

Trait observations are relevant to a broad interdisciplinary community of field biologists, synthesis ecologists, evolutionary biologists, computer scientists and database managers. We hope these basic guidelines can be useful as a starter for active communication in disseminating such integrative knowledge and in how to make trait data future‐proof. We invite the scientific community to participate in this effort at http://opentraits.org/best‐practices.html.
Landcover change and habitat quality mediate impacts of temperature and precipitation on population dynamics of a threatened aridland predator
Authors: Flesch A. D. 
Published: November 2022

AbstractClimate and landcover change can have synergistic impacts on wildlife populations, but the pervasiveness of these threats and factors that buffer them remain unclear despite important implications for conservation. I evaluated the additive and interactive effects of spatiotemporal variation in temperature, precipitation, and landcover change on annual territory occupancy, colonization, and extinction of a threatened top‐predator, the ferruginous pygmy‐owl (Glaucidium brasilianum), across a vast binational region of the Sonoran Desert over 16 years. I also assessed how local habitat quality and regional population size mediate impacts of these stressors. Despite significant bivariate associations between occupancy and temperature, precipitation, and landcover change, evidence for interactions was much greater than for additive effects. Occupancy of territories imbedded in increasingly disturbed landscapes declined at greater rates with warming winter temperatures, but the temperature had little effect in intact landscapes suggesting they buffer impacts of climate warming. Occupancy increased markedly with precipitation due likely to major positive impacts on prey, but again, interactive effects were stronger given territories of higher quality amplified benefits of precipitation. Impacts of landcover change and habitat quality on extinction depended markedly on regional population sizes. When populations were small and few potential colonists were present, high‐quality habitat and low landcover change failed to reduce extinction. When populations were large, however, high‐quality habitat and more intact landscapes, which best foster dispersal, reduced extinction. Hence, complex interacting processes linked to the effects of precipitation and habitat quality on carrying capacity, landcover change on habitat connectivity and vulnerability to rising temperatures, and local population sizes simultaneously drove dynamics. Efforts to identify and protect high‐quality habitat and limit landcover change can enhance conservation but will be most efficient in intact landscapes. Efforts to enhance local habitat quality and quantity, and directly augment populations should consider broader landscape contexts linked to habitat connectivity and potential source populations.
The effect of high‐density genotypic data and different methods on joint genomic prediction: A case study in large white pigs
Authors: Zhao Wei , Zhang Zhenyang , Ma Peipei , Wang Zhen , Wang Qishan , Zhang Zhe , Pan Yuchun 
Published: November 2022

AbstractJoint genomic prediction (GP) is an attractive method to improve the accuracy of GP by combining information from multiple populations. However, many factors can negatively influence the accuracy of joint GP, such as differences in linkage disequilibrium phasing between single nucleotide polymorphisms (SNPs) and causal variants, minor allele frequencies and causal variants’ effect sizes across different populations. The objective of this study was to investigate whether the imputed high‐density genotype data can improve the accuracy of joint GP using genomic best linear unbiased prediction (GBLUP), single‐step GBLUP (ssGBLUP), multi‐trait GBLUP (MT‐GBLUP) and GBLUP based on genomic relationship matrix considering heterogenous minor allele frequencies across different populations (wGBLUP). Three traits, including days taken to reach slaughter weight, backfat thickness and loin muscle area, were measured on 67 276 Large White pigs from two different populations, for which 3334 were genotyped by SNP array. The results showed that a combined population could substantially improve the accuracy of GP compared with a single‐population GP, especially for the population with a smaller size. The imputed SNP data had no effect for single population GP but helped to yield higher accuracy than the medium‐density array data for joint GP. Of the four methods, ssGLBUP performed the best, but the advantage of ssGBLUP decreased as more individuals were genotyped. In some cases, MT‐GBLUP and wGBLUP performed better than GBLUP. In conclusion, our results confirmed that joint GP could be beneficial from imputed high‐density genotype data, and the wGBLUP and MT‐GBLUP methods are promising for joint GP in pig breeding.
Effects of diabetes mellitus on sperm quality and fertility outcomes: Clinical evidence
Authors: Lotti Francesco , Maggi Mario 
Published: November 2022

AbstractBackgroundDiabetes mellitus is a global epidemic characterized by high morbidity and mortality. Diabetes mellitus can lead to acute and chronic systemic complications. Among them, a negative effect of diabetes mellitus on sperm quality and male/couple fertility has been suggested. However, available studies in diabetes mellitus men evaluated relatively small cohorts with discordant results.ObjectivesTo evaluate the clinical evidences of the effects of diabetes mellitus on sperm quality and fertility outcomes.MethodsAn extensive Medline search was performed identifying studies in the English language.ResultsThe prevalence of diabetes mellitus in infertile men ranges from 0.7% to 1.4%, while the prevalence of infertility in diabetes mellitus men, evaluated in a few studies, ranges from 35% to 51%. Male diabetes mellitus seems to play a negative effect on couple fecundity, while being childless or subfertile men might increase the risk of diabetes mellitus. Available cross‐sectional studies investigating semen parameters and male sexual hormones in men with diabetes mellitus are heterogeneous, assessed relatively small cohorts, show often discordant results and frequently are not directly comparable to derive robust conclusions. Two meta‐analyses support a negative effect of diabetes mellitus on sperm normal morphology and no effect on sperm total count, with contradictory results regarding other semen parameters. Considering only studies on type 1 diabetes mellitus men, meta‐analyses support a negative effect of diabetes mellitus on sperm motility and no effect on sperm total count, with contradictory results regarding other semen parameters. The rate of children observed among type 1 diabetes mellitus men was lower than controls, especially in subjects with a longer diabetes mellitus duration. Couples with a diabetes mellitus male partner undergoing assisted reproduction techniques showed lower pregnancy rates than controls. No study evaluated the impact of diabetes mellitus treatment on semen quality and male fertility.ConclusionsOverall, available data show that diabetes mellitus might impair male reproductive health and couple fertility. However, further larger and full of details studies are needed.
Spoken word ≠ interviews: Listening to negotiations in a Moroccan market
Authors: Wagner Lauren B. 
Published: November 2022

AbstractAnalysing the spoken word, in some traditions, means analysing how social life is created, ordered and transformed through interaction, rather than how it is reported about in interviews. This paper examines an excerpt recorded in that spirit—towards understanding how participants continuously and demonstrably categorise each other in face‐to‐face conversation. Within the larger project, this excerpt was unique and memorable, but did not seem to present any conclusive direction for analysis. Here, I show how its interactional features might combine with contexts beyond the immediate situation to frame an ethnomethodological and geographical analysis.
Words beyond ‘data’: Managing small talk and positionality in North Norway
Authors: Medby Ingrid A. 
Published: November 2022

AbstractBeyond the boundaries of neatly presented ‘datasets’ are the words said before and after audio‐recorders are switched on, small talk that is rarely transcribed or archived. In this intervention, I return to a brief moment preceding a semi‐structured interview in North Norway. While I was there to study political relations in the Barents region, the research encounters generated interpersonal connections and surprises. This paper considers first, positionality and the blurriness of the researcher's role as insider or outsider; and second, the nuances often left out of research accounts, such as local dialects, small talk and the relational settings of interviews.
Assessing Exposure-Time Treatment Effect Heterogeneity in Stepped-Wedge Cluster Randomized Trials
Authors: Maleyeff Lara , Li Fan , Haneuse Sebastien , Wang Rui 
Published: November 2022

Abstract
A stepped-wedge cluster randomized trial (CRT) is a unidirectional crossover study in which timings of treatment initiation for clusters are randomized. Because the timing of treatment initiation is different for each cluster, an emerging question is whether the treatment effect depends on the exposure time, namely, the time duration since the initiation of treatment. Existing approaches for assessing exposure-time treatment effect heterogeneity either assume a parametric functional form of exposure time or model the exposure time as a categorical variable, in which case the number of parameters increases with the number of exposure-time periods, leading to a potential loss in efficiency. In this article, we propose a new model formulation for assessing treatment effect heterogeneity over exposure time. Rather than a categorical term for each level of exposure time, the proposed model includes a random effect to represent varying treatment effects by exposure time. This allows for pooling information across exposure-time periods and may result in more precise average and exposure-time-specific treatment effect estimates. In addition, we develop an accompanying permutation test for the variance component of the heterogeneous treatment effect parameters. We conduct simulation studies to compare the proposed model and permutation test to alternative methods to elucidate their finite-sample operating characteristics, and to generate practical guidance on model choices for assessing exposure-time treatment effect heterogeneity in stepped-wedge CRTs.
Development of subjective well‐being and its relationship with self‐esteem in early adolescence
Authors: Katsantonis Ioannis , McLellan Ros , Marquez Jose 
Published: November 2022

AbstractDespite evidence indicating that self‐esteem (SE) may be considered a precondition to subjective well‐being (SWB), there are inconclusive findings regarding its developmental links with SWB. Considering the declines in SWB, the purpose of this study is to examine the developmental changes in SWB and its relationship with SE in early adolescence. The data of 11,231 adolescents aged 11 and 14 years old (50% females) from the Millennium Cohort Study were utilized. Latent mean comparison indicated that SWB declined substantially between 11 and 14 years old in the United Kingdom. Cross‐lagged modelling showed that SWB was developmentally unstable and that SE predicted later changes in SWB, whereas SWB did not predict changes in SE. SWB declines in the United Kingdom are mostly linked to less satisfaction with secondary school contexts and peer relationships. In short, SE is an important factor that can contribute to adolescents' SWB. Implications for educational policy and practice are discussed.
Maternal hypothyroidism and adverse outcomes of pregnancy
Authors: Knøsgaard Louise , Andersen Stig , Hansen Annebirthe Bo , Vestergaard Peter , Andersen Stine Linding 
Published: November 2022

AbstractObjectiveHypothyroidism has been associated with pregnancy complications, but uncertainty prevail regarding the severity and the role of thyroid autoimmunity. This study aimed to evaluate adverse pregnancy outcomes by exposure to maternal hypothyroidism and thyroid autoimmunity.DesignRetrospective cohort study.Patients14,744 singleton pregnancies from the North Denmark Region Pregnancy Cohort (2011−2015).MeasurementsMaternal thyroid stimulating hormone (TSH), thyroid peroxidase antibodies (TPO‐Ab), and thyroglobulin antibodies (Tg‐Ab) were retrospectively measured in early pregnancy blood samples (ADVIA Centaur XPT, Siemens Healthineers). Adjusted odds ratio (aOR) with 95% confidence interval (CI) was used to estimate associations between maternal hypothyroidism (TSH cut‐offs: 6.0 and 10 mIU/L), thyroid autoimmunity (TPO‐Ab cut‐off: 60 U/ml, Tg‐Ab cut‐off: 33 U/ml), and adverse pregnancy outcomes.ResultsPregnancy outcomes were 93.2% live births, 6.5% spontaneous abortions, and 0.3% stillbirths. The frequency of spontaneous abortion was 6.5% when TSH was below 6.0 mIU/L, 6.5% when above 6.0 mIU/L (aOR 1.0 [95% CI: 0.5−2.0]), and 12.5% when above 10 mIU/L (aOR: 2.0 [95% CI: 0.8−5.2]). For outcome of preterm birth, the frequency was 5.4% when TSH was below 6.0 mIU/L, 7.8% when above 6.0 mIU/L (aOR 1.5 [95% CI: 0.7−2.9]), and 11.4% when above 10 mIU/L (aOR: 2.6 [95% CI: 0.9–7.3]). No association was found between thyroid autoantibodies and spontaneous abortion (TPO‐Ab: aOR: 1.0 [0.8−1.3], Tg‐Ab: 1.0 [0.8−1.2]) or preterm birth (TPO‐Ab: aOR: 1.0 [0.8–1.2], Tg‐Ab: 0.9 [0.7–1.2]).ConclusionA high frequency of adverse pregnancy outcomes was seen among pregnancies exposed to maternal TSH above 10 mIU/L, whereas no association with thyroid autoantibodies was seen.