bluuebunny/crossref_metadata_2025_split huggingface dataset:
Central-place foraging poses variable constraints year-round in a neotropical migrant
Authors: Lalla Kristen M. , Fraser Kevin C. , Frei Barbara , Fischer Jason D. , Siegrist Joe , Ray James D. , Cohn-Haft Mario , Elliott Kyle H. 
Published: September 2022

Abstract
Background
“Central-place foragers” are constrained in their habitat selection and foraging range by the frequency with which they need to return to a central place. For example, chick-rearing songbirds that must feed their offspring hourly might be expected to have smaller foraging ranges compared to non-breeding songbirds that return nightly to a roost.

Methods
We used GPS units to compare the foraging behaviour of an aerial insectivorous bird, the purple martin (Progne subis), during the breeding season in three regions across North America, as well as the non-breeding season in South America. Specifically, we tested foraging range size and habitat selection.

Results
Foraging range did not vary among regions during breeding (14.0 ± 39.2 km2) and was larger during the nonbreeding period (8840 ± 8150 km2). Purple martins strongly preferred aquatic habitats to other available habitats year-round and in the Amazon commuted from night roosts in low productivity sediment-poor water, where risk of predation was probably low, to daytime foraging sites in productive sediment-rich water sites.

Conclusions
We provide the first estimates for foraging range size in purple martins and demonstrate foraging preference for aquatic habitats throughout two stages of the annual cycle. Understanding foraging constraints and habitat of aerial insectivores may help plan conservation actions throughout their annual cycle. Future research should quantify foraging behaviour during the post-breeding period and during migration.
Interpretable deep learning of myelin histopathology in age-related cognitive impairment
Authors: McKenzie Andrew T. , Marx Gabriel A. , Koenigsberg Daniel , Sawyer Mary , Iida Megan A. , Walker Jamie M. , Richardson Timothy E. , Campanella Gabriele , Attems Johannes , McKee Ann C. , Stein Thor D. , Fuchs Thomas J. , White Charles L. ,   The PART working group, Vonsattel Jean-Paul , Teich Andy F. , Gearing Marla , Glass Jonathan , Troncoso Juan C. , Frosch Matthew P. , Hyman Bradley T. , Dickson Dennis W. , Murray Melissa E. , Attems Johannes , Flanagan Margaret E. , Mao Qinwen , Mesulam M.-Marsel , Weintraub Sandra , Woltjer Randy L. , Pham Thao , Kofler Julia , Schneider Julie A. , Yu Lei , Purohit Dushyant P. , Haroutunian Vahram , Hof Patrick R. , Gandy Sam , Sano Mary , Beach Thomas G. , Poon Wayne , Kawas Claudia , Corrada María , Rissman Robert A. , Metcalf Jeff , Shuldberg Sara , Salehi Bahar , Nelson Peter T. , Trojanowski John Q. , Lee Edward B. , Wolk David A. , McMillan Corey T. , Keene C. Dirk , Latimer Caitlin S. , Montine Thomas J. , Kovacs Gabor G. , Lutz Mirjam I. , Fischer Peter , Perrin Richard J. , Cairns Nigel J. , Franklin Erin E. , Shang Ping , Harris Jeff , Foong Chan , Farrell Kurt , Crary John F. 
Published: September 2022

AbstractAge-related cognitive impairment is multifactorial, with numerous underlying and frequently co-morbid pathological correlates. Amyloid beta (Aβ) plays a major role in Alzheimer’s type age-related cognitive impairment, in addition to other etiopathologies such as Aβ-independent hyperphosphorylated tau, cerebrovascular disease, and myelin damage, which also warrant further investigation. Classical methods, even in the setting of the gold standard of postmortem brain assessment, involve semi-quantitative ordinal staging systems that often correlate poorly with clinical outcomes, due to imperfect cognitive measurements and preconceived notions regarding the neuropathologic features that should be chosen for study. Improved approaches are needed to identify histopathological changes correlated with cognition in an unbiased way. We used a weakly supervised multiple instance learning algorithm on whole slide images of human brain autopsy tissue sections from a group of elderly donors to predict the presence or absence of cognitive impairment (n = 367 with cognitive impairment, n = 349 without). Attention analysis allowed us to pinpoint the underlying subregional architecture and cellular features that the models used for the prediction in both brain regions studied, the medial temporal lobe and frontal cortex. Despite noisy labels of cognition, our trained models were able to predict the presence of cognitive impairment with a modest accuracy that was significantly greater than chance. Attention-based interpretation studies of the features most associated with cognitive impairment in the top performing models suggest that they identified myelin pallor in the white matter. Our results demonstrate a scalable platform with interpretable deep learning to identify unexpected aspects of pathology in cognitive impairment that can be translated to the study of other neurobiological disorders.
Examining high achievement in mathematics and science among post-primary students in Ireland: a multilevel binary logistic regression analysis of PISA data
Authors: Pitsia Vasiliki 
Published: September 2022

AbstractIn Ireland, while, on average, students have performed well on national and international assessments of mathematics and science, the low proportions of high achievers in these subjects are noteworthy. Given these patterns and the multifaceted benefits in individual and societal terms that expertise in mathematics and science has been associated with, policymakers in Ireland have begun to place an increasing emphasis on high achievement in these subjects. This emphasis has coincided with ongoing efforts during the last decade to raise interest and improve academic performance within the realm of science, technology, engineering, and mathematics (STEM) education.Despite this policy attention, research on high achievement in mathematics and science nationally, but also internationally, has been particularly scarce. In an attempt to provide research evidence that could add further impetus to the ongoing efforts, this study examines high achievement in mathematics and science among post-primary students in Ireland using data from the 2012 and 2015 cycles of the Programme for International Student Assessment (PISA). Specifically, the study aimed to evaluate the contribution of various contextual characteristics stemming from students, their families, teachers, and schools in the prediction of high achievement in mathematics and science within a two-stage analysis that included a series of bivariate tests and multilevel binary logistic regression modelling.The results showed that variables related to students’ self-beliefs, engagement, and socioeconomic background were consistently associated with high achievement in mathematics and science. Overall, the significant role of students’ homes and families in predicting students’ chances of being high achievers in the two subjects was highlighted. In turn, this indicated that further efforts to enhance collaboration between teachers, schools, and parents may be warranted if progress in the area of high achievement in mathematics and science is to be made. The implications of these findings for policy and practice within the Irish context, the limitations of the study, and recommendations for future research are discussed.
Nonclinical Pharmacokinetics, Pharmacodynamics, and Translational Model of RO7297089, A Novel Anti-BCMA/CD16A Bispecific Tetravalent Antibody for the Treatment of Multiple Myeloma
Authors: Cai Hao , Kakiuchi-Kiyota Satoko , Hendricks Robert , Zhong Shelly , Liu Luna , Adedeji Adeyemi O. , Chan Pamela , Schutten Melissa M. , Kamath Amrita V. , Ovacik Meric A. 
Published: September 2022

AbstractRO7297089, an anti-B-cell maturation antigen (BCMA)/CD16A bispecific tetravalent antibody, is being developed as a multiple myeloma (MM) therapeutic. This study characterized nonclinical pharmacokinetics (PK), pharmacodynamics (PD), soluble BCMA (sBCMA), and soluble CD16 (sCD16) changes following administration of RO7297089 to support clinical trials. Unbound and total RO7297089 concentrations were measured in cynomolgus monkeys. RO7297089 exhibited a bi-phasic systemic concentration-time profile, similar to a typical human immunoglobulin 1 antibody. Target engagement by RO7297089 led to a robust increase (~100-fold) in total systemic sBCMA levels and relatively mild increase (~2-fold) in total sCD16 levels. To describe the relationship of nonclinical PK/PD data, we developed a target-mediated drug disposition (TMDD) model that includes the systemic target engagement of membrane BCMA (mBCMA), sBCMA, membrane CD16 (mCD16), and sCD16. We then used this model to simulate the PK/PD relationship of RO7297089 in MM patients by translating relevant PK parameters and target levels, based on the literature and newly generated data such as baseline sCD16A levels. Our model suggested that the impact of TMDD on RO7297089 exposure may be more significant in MM patients due to significantly higher expression levels of both mBCMA and sBCMA compared to healthy cynomolgus monkeys. Based on model simulations, we propose more frequent dosing of RO7297089 compared to regular monthly frequency in the clinic at the beginning of treatment to ensure sustained target engagement. This study demonstrates a translational research strategy for collecting relevant nonclinical data, establishing a TMDD model, and using simulations from this model to inform clinical dose regimens.
Graphical Abstract
Associations Between Sleep and Metabolic Outcomes in Preadolescent Children
Authors: Alves Jasmin Marie , Chow Ting , Nguyen-Rodriguez Selena , Angelo Brendan , Defendis Alexis , Luo Shan , Smith Alexandro , Yunker Alexandra Grace , Xiang Anny H , Page Kathleen Alanna 
Published: September 2022

AbstractContextGrowing evidence suggests an important role for sleep for the metabolic health of children.ObjectiveWe aimed to determine how sleep is related to insulin sensitivity, insulin secretion, beta-cell function, and adiposity (BMI z-scores, body fat %, waist to height ratio) using objectively measured sleep and oral glucose tolerance test (OGTT)-derived measures.MethodsSixty-two children aged 7-11 years, born at Kaiser Permanente Southern California, wore wrist accelerometers for 7 days to objectively measure sleep, completed an OGTT, and had anthropometric measures (height [cm], weight [kg], waist [cm], body fat [%]) collected. Using linear regression, associations between Matsuda insulin sensitivity index (ISI), insulinogenic index (IGI), disposition index (DI), BMI z-score, waist to height ratio, and body fat % with sleep parameters [total sleep time (TST; min), sleep efficiency (SE; %), time in bed (TIB; min), wake after sleep onset (WASO; min), and sleep latency (SL; min)] were assessed. Body fat % was tested as a mediator of the relationship between TST and ISI.ResultsLonger TST was associated with better insulin sensitivity (P = 0.02), but not after adjusting for body fat %. Sleep parameters were not associated with IGI or DI. Longer TST was associated with lower % body fat (P = 0.01) and lower waist-to-height-ratios (P = 0.05). Body fat % explained 62% (P = 0.01) of the relationship between TST and ISI. Longer TIB was associated with lower adiposity measures (P &lt; 0.05). There were no associations between SE, WASO, or SL and metabolic outcomes.ConclusionObjectively measured sleep duration was associated with lower adiposity, and the relationship between sleep duration and ISI appeared partly through adiposity levels in preadolescent children. Longer sleep duration may be important for metabolic health.
The Individual-Level Productivity Costs of Physical Inactivity
Authors: KARI JAANA T. , NERG IIRO , HUIKARI SANNA , LEINONEN ANNA-MAIJU , NURKKALA MARJUKKA , FARRAHI VAHID , KORPELAINEN RAIJA , KORHONEN MARKO 
Published: September 2022

ABSTRACT

Purpose
This study estimated the long-term individual-level productivity costs of physical inactivity.

Methods
The data were drawn from the Northern Finland Birth Cohort 1966, to which the productivity cost variables (sick leaves and disability pensions) from Finnish registries were linked. Individuals (N = 6261) were categorized into physical activity groups based on their level of physical activity, which was measured in three ways: 1) self-reported leisure-time moderate- to vigorous-intensity physical activity (MVPA) at 46 yr old, 2) longitudinal self-reported leisure-time MVPA at 31–46 yr old, and 3) accelerometer-measured overall MVPA at 46 yr old. The human capital approach was applied to calculate the observed costs (years 2012–2020) and the expected costs (years 2012–2031).

Results
The results showed that the average individual-level productivity costs were higher among physically inactive compared with the costs among physically active. The results were consistent regardless of the measurement type of physical activity or the period used. On average, the observed long-term productivity costs among physically inactive individuals were €1900 higher based on self-reported MVPA, €1800 higher based on longitudinal MVPA, and €4300 higher based on accelerometer-measured MVPA compared with the corresponding productivity costs among physically active individuals. The corresponding difference in the expected costs was €2800, €1200, and €8700, respectively.

Conclusions
The results provide evidence that productivity costs differ according to an individual’s level of physical activity. Therefore, investments in physical activity may decrease not only the direct healthcare costs but also the indirect productivity costs paid by the employee, the employer, and the government.
Informative prior on structural equation modelling with non-homogenous error structure
Authors: Olalude Oladapo A. , Muse Bernard O. , Alaba Oluwayemisi O. 
Published: September 2022

Introduction: This study investigates the impact of informative prior on Bayesian structural equation model (BSEM) with heteroscedastic error structure. A major drawback of homogeneous error structure is that, in most studies the underlying assumption of equal variance across observation is often unrealistic, hence the need to consider the non-homogenous error structure. Methods: Updating appropriate informative prior, four different forms of heteroscedastic error structures were considered at sample sizes 50, 100, 200 and 500. Results: The results show that both posterior predictive probability (PPP) and log likelihood are influenced by the sample size and the prior information, hence the model with the linear form of error structure is the best. Conclusions: The study has been able to address sufficiently the problem of heteroscedasticity of known form using four different heteroscedastic conditions, the linear form outperformed other forms of heteroscedastic error structure thus can accommodate any form of data that violates the homogenous variance assumption by updating appropriate informative prior. Thus, this approach provides an alternative approach to the existing classical method which depends solely on the sample information.
Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey
Authors: Schmidt Christian , Hanne Janina , Moore Josh , Meesters Christian , Ferrando-May Elisa , Weidtkamp-Peters Stefanie ,   members of the NFDI4BIOIMAGE initiative
Published: September 2022

Background: Knowing the needs of the bioimaging community with respect to research data management (RDM) is essential for identifying measures that enable adoption of the FAIR (findable, accessible, interoperable, reusable) principles for microscopy and bioimage analysis data across disciplines. As an initiative within Germany's National Research Data Infrastructure, we conducted this community survey in summer 2021 to assess the state of the art of bioimaging RDM and the community needs. Methods: An online survey was conducted with a mixed question-type design. We created a questionnaire tailored to relevant topics of the bioimaging community, including specific questions on bioimaging methods and bioimage analysis, as well as more general questions on RDM principles and tools. 203 survey entries were included in the analysis covering the perspectives from various life and biomedical science disciplines and from participants at different career levels. Results: The results highlight the importance and value of bioimaging RDM and data sharing. However, the practical implementation of FAIR practices is impeded by technical hurdles, lack of knowledge, and insecurity about the legal aspects of data sharing. The survey participants request metadata guidelines and annotation tools and endorse the usage of image data management platforms. At present, OMERO (Open Microscopy Environment Remote Objects) is the best known and most widely used platform. Most respondents rely on image processing and analysis, which they regard as the most time-consuming step of the bioimage data workflow. While knowledge about and implementation of electronic lab notebooks and data management plans is limited, respondents acknowledge their potential value for data handling and publication. Conclusion: The bioimaging community acknowledges and endorses the value of RDM and data sharing. Still, there is a need for information, guidance, and standardization to foster the adoption of FAIR data handling. This survey may help inspiring targeted measures to close this gap.
Case Report: Pathological fracture in a Li-Fraumeni osteosarcoma patient: "Capasquelet'' femoral reconstruction and tumor vascular analysis with endomucin immunofluorescence multiplexing
Authors: Tran Guillaume , Amiaud Jerome , Combal Alexis , Duteille Franck , Redini Françoise , Verrecchia Franck , Crenn Vincent 
Published: September 2022

We describe the case report of an Osteosarcoma patient, with a Li-Fraumeni Syndrome, presenting with a pathological femoral fracture. The patient was treated with a multidisciplinary approach associating neoadjuvant and adjuvant chemotherapy with excisional surgery. The femoral reconstruction consisted of a ``Capasquelet'' reconstruction combining an induced membrane and a vascularized fibula allograft allowing a good functional result with an early weight-bearing. We managed to complete our histological analysis in this patient, in order to evaluate the tumor vascularization. Indeed, using the syngeneic osteosarcoma MOS-J mouse model, we highlighted previously that CD31+/\ensuremath{\alpha }-SMA+ vessels may be indicators of vasculature normalization and therefore may be used as specific markers of a good therapeutic response. Thus, we search for its interest in this specific case as preliminary work. The aim was to assess the feasibility and technical validity of the vascularization analysis of a human osteosarcoma tumor specimen. Therefore, we propose an immunohistochemistry methodology with multiplexed immunofluorescence to assess the vascularization as a promising marker in human osteosarcoma tissue.
Anti-inflammatory activity and toxicity evaluation of 1,3-bis(p-hydroxyphenyl)urea
Authors: Waruwu Syukur Berkat , Harahap Urip , Yuandani Yuandani , Purnomo Hari , Satria Denny 
Published: September 2022

Background: Inflammation is a normal protective response caused by tissue damage through physical trauma, chemical damage, or invasion of pathogenic microorganisms. 1,3-bis(p-hydroxyphenyl)urea is a modified p-aminophenol compound, which is considered to have strong analgesic activity based on cyclooxygenase-2 inhibition and has fewer hepatotoxic side effects. In-silico test showed 1,3-bis(p-hydroxyphenyl)urea has COX-1 and TNF- binding activity, so it has the potential to be developed as an anti-inflammatory agent. Anti-inflammatory activity was tested using mice. Toxicity test was conducted to test the safety of 1,3-bis(p-hydroxyphenyl)urea. Methods: Anti-inflammatory test was carried out by measuring the percentage of inflammation in rat paws using a plethysmometer after administration of 1,3-bis(p-hydroxyphenyl)urea induced by carrageenan 1%, and then histology was performed to observe the number of neutrophils. A toxicity test using OECD guidelines carried out acute toxicity for 24 hours and was observed for 14 days. The subchronic toxicity test was carried out for 28 days, followed by 42 days in the satellite group. Results: Analysis of rat paw inflammation volume showed 1,3-bis(p-hydroxyphenyl)urea could suppress inflammation after carrageenan-1% induction. The group given {1.3 bis (p-Hydroxyphenyl)urea} and sodium diclofenac 2.25 mg/kg BW had a significant difference in results (p<0.05) with 0.5% Na CMC group. Doses of 50, 100, and 200 mg/kg BW showed no significant difference (p>0.05) with diclofenac sodium. The number of neutrophils also decreased compared to the 0.5% Na CMC group. The acute toxicity test of 1,3-bis(p-hydroxyphenyl)urea did not cause toxic symptoms and death up to a dose of 5000 mg/kg BW. The microscopic results of subchronic toxicity of liver tissue experienced hydropic degeneration at a dose of 1000 mg/kg BW; in the lungs causes congestion, and microscopic renal tissue undergoes Bowman space dilatation and tubular lumen dilatation, but this condition is reversible. Conclusion: This 1,3-bis(p-hydroxyphenyl)urea compound had an anti-inflammatory activity and relatively low toxicity.
Smokers’ support for the ban on sale of slim cigarettes in six European countries: findings from the EUREST-PLUS ITC Europe Surveys
Authors: Mechili Enkeleint A. , Przewoźniak Krzysztof , Driezen Pete , Kyriakos Christina N , Girvalaki Charis , Mons Ute , Quah Anne CK , Fernández Esteve , Trofor Antigona C , Demjén Tibor , Katsaounou Paraskevi A , Zatoński Witold , Fong Geoffrey T , Vardavas Constantine I 
Published: September 2022

Background: Efforts to regulate tobacco products and reduce consumption in the European Union (EU) include the European Tobacco Products Directive (TPD), which went into force in May 2016. Despite the initial discussion to include a ban on sale of slim cigarettes, it was excluded in the final TPD. The main goal of this study was to examine support for a ban on slim cigarettes among smokers in six European Countries. Methods: Data from the 2018 (Wave 2) International Tobacco Control Policy Evaluation Project 6 European Country (ITC 6E) EUREST-PLUS project survey, a cross sectional study of adult smokers (n=5592) from Germany, Greece, Hungary, Poland, Romania, and Spain, was analysed. Descriptive statistics were used to estimate support for a ban on slim cigarettes by sociodemographic characteristics and smoking behaviors. Logistic regression analysis was used to examine factors associated with support for a ban on slim cigarettes and perceptions of harm. Results: Support for a ban on slims varied across countries, with highest support in Romania (33.8%), and lowest in Greece (18.0%). Female smokers (OR=0.78; 95%CI=0.67-0.91, daily smokers (OR=0.68; 95%CI=0.47-0.97), menthol smokers (OR=0.55; 95%CI=0.36-0.86), and smokers who did not have plans to quit within next six months (OR=0.45; 95%CI=0.36-0.56) had significantly lower odds of supporting a ban on slim cigarettes. Overall, 21% of smokers perceived slim cigarettes as less harmful than regular cigarettes. Conclusions: Support for a ban of slim cigarettes was relatively low among smokers, while misperceptions that slim cigarettes are less harmful is high, particularly among countries where slim cigarette use is more prevalent. Findings support a ban on slim cigarettes to reduce misperceptions around slim cigarettes being less harmful.