bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low-Income, Older African Americans’ Engagement in and Perceptions of a Smartphone-Based Ecological Momentary Assessment Study of Physical Activity and Sedentary Behavior
Authors: Kennedy-Malone Laurie , Hevel Derek J , Sappenfield Kourtney B , Scheer Heidi , Zecca Christine , Maher Jaclyn P 
Published: December 2021

Abstract

Background and Objectives
Smartphone-based ecological momentary assessment (EMA) methods can provide novel insights into modeling and predicting activity-related behaviors, yet many racial and ethnic minority groups report barriers to participating in mobile health research. We aim to (a) report on strategies used to successfully recruit and retain minority older adults in a smartphone-based physical activity and sedentary behavior EMA study and (b) report on participants’ perceptions of study acceptability.

Research Design and Methods
Researchers partnered with trusted individuals and community organizations serving older adults to facilitate recruitment for an 8-day EMA study of minority older adults’ physical activity and sedentary behavior. Additional strategies such as having experienced, culturally competent team members and available technical support were employed to further recruitment and retention efforts. A poststudy questionnaire assessed participants’ perceptions of study acceptability.

Results
In total, 123 minority older adults were recruited, 102 met inclusion criteria, 91 completed the study, and 89 completed the poststudy questionnaire. The sample consisted of predominantly low-income African American women with an average age of 70 years. Responses to open-ended questions revealed that the most enjoyable aspects of study participation were the ability to learn more about themselves, contribute to science and/or their community, engage in a new activity, and receive financial compensation. Participants reported the least enjoyable aspects of the study included the frequency of EMA questionnaires, apprehension of missing EMA questionnaires, carrying the smartphone, and difficulty wearing the accelerometer. Most participants (97%) expressed interest in being contacted for future studies.

Discussion and Implications
Low-income, older African Americans reported positive perceptions of a smartphone-based EMA study of physical activity and sedentary behavior. Findings suggest that applying demonstrated strategies to engage this population in technology-based health research can enhance recruitment and retention efforts; however, it is unclear which strategies are most effective in reducing participation barriers.
Energetic and financial analysis of solar landfill project: a case study in Qingyuan
Authors: Gu Guangyue , Song Ziteng , Lu Boyan , Deckard Yu , Lei Zonglin , Sun Xuan 
Published: December 2021

Abstract
Landfilling is the most commonly used option for waste disposal in China but occupies massive land resources and solar landfills could be a win-win solution by installing photovoltaic (PV) systems on the closed landfills. This paper theoretically studies the feasibility of solar landfills and compares two possible PV technologies, which are polycrystalline silicon (p-Si) and thin film PVs, from the aspects of energy and financial performance. Based on the research, the capacity factors of p-Si and thin film PV are 19.706% and 17.825%, while the conversion efficiency of them are 12.52% and 10.05%, respectively. The financial analysis indicates that the discounted payback period of p-Si PV is 13.42 years while that of thin film PV is 18.56 years. From another aspect, the levelized cost of electricities of p-Si and thin film PV are 0.87 and 0.92 CNY. The conclusion that can be drawn from the above research is that solar landfills are feasible for the case in Qingyuan energetic and financially. Compared with the thin film PV, the p-Si PV is the optimal choice for solar landfills no matter from the aspects of performance or financial consideration.
Genetic Diversity and Structure in a Closed Breeding System of Russian Honey Bees
Authors: Bilodeau Lelania 
Published: December 2021

Abstract
High levels of genetic diversity are critical to the success of breeding programs. Russian honey bees are a selected stock that undergoes breeding in a closed block-based mating system. Given its established history, Russian stock has longitudinal measures of genetic integrity (i.e., genetically based stock identity) and diversity. Assessments using genetic stock identification (GSI) have shown that genetic diversity parameters were assessed across breeding blocks for three generations, spanning 6 yr (2014, 2017, and 2020), showing levels comparable to those when the stock was initially released in 2008. Allelic richness (mean number of alleles) and gene diversity levels were consistent over time and among blocks. Blocks were generally not differentiated from one another within each year. However, the 2020 population was distinct when compared with bees sampled in both 2014 and 2017. Genetic distance relationships supported differentiation of the 2020 population by distinct clustering. The patterns observed here are consistent with historical changes made to the breeding program to increase stringency of the selection criteria.
Simultaneous Isolation of High-Quality RNA and DNA From Postmortem Human Central Nervous System Tissues for Omics Studies
Authors: Grima Natalie , Henden Lyndal , Watson Owen , Blair Ian P , Williams Kelly L 
Published: December 2021

Abstract
Multi-omics approaches are increasingly being adopted to understand the complex networks underlying disease. The coisolation of high-quality nucleotides from affected tissues is paramount for the parallel analysis of transcriptomic, genomic, and epigenomic data sets. Although nucleotides extracted from postmortem central nervous system (CNS) tissue are widely used in the study of neurodegenerative disease, assessment of methods for the simultaneous isolation of DNA and RNA is limited. Herein, we describe a strategy for the isolation of high-quality DNA and RNA from postmortem human tissue from 7 CNS regions. Motor cortex, frontal cortex, hippocampus, occipital cortex, anterior cingulate cortex, cerebellum, and spinal cord tissues were obtained from 22 individuals diagnosed with motor neuron disease (MND) and 13 neurologically normal controls (n = 245 tissues). We demonstrated that the Qiagen AllPrep DNA/RNA kit consistently isolated DNA and RNA of high yield and quality from all 6 brain regions. Importantly, phenol-chloroform-based extraction was required to isolate high-yield RNA from spinal cord. RNA sequencing using RNA extracted from 6 CNS regions (n = 60) generated high-quality transcriptomes. Hierarchical clustering of data from motor cortex, using an MND susceptibility gene panel and marker genes of disease-associated microglia, demonstrated that MND-specific gene expression signatures could be detected in the transcriptome data.
The Dynamics of Sources of Knowledge on the Nature of Innovation in the Public Sector: Understanding Incremental and Transformative Innovations in Local Governments
Authors: Zambrano-Gutiérrez Julio C , Puppim de Oliveira Jose A 
Published: December 2021

AbstractUnderstanding the effects of different sources of knowledge acquisition in public organizations has become widely promoted for overcoming sociotechnical challenges through innovation. This study divided the sources of knowledge into external and internal learning mechanisms to assess their divergent effects on incremental and transformative innovations in 82 local governments involved in green and blue infrastructure projects. First, the study tests whether more diverse external sources of knowledge acquisition are more effective in increasing transformative innovation than internal learning mechanisms. The second proposition tests whether internal changes in organizational routines are associated with incremental rather than transformative innovation. Results from mediation analysis using structural equation models confirm that the initial negative effect of external and internal learning mechanisms on innovation can be eliminated, on the one hand, by engaging in more diverse cross-sector collaborations to increase transformative innovations and, on the other hand, by focusing on changing administrative routines to support incremental innovation.
The differences between mass- and light-derived structural parameters over time for MaNGA elliptical galaxies
Authors: Ibarra-Medel H , Avila-Reese V , Lacerna I , Rodríguez-Puebla A , Vázquez-Mata J A , Hernández-Toledo H M , Sánchez S F 
Published: December 2021

ABSTRACTWe apply stellar population synthesis analysis to obtain spatially resolved archaeological inferences for a large sample of ‘red and dead’ Elliptical galaxies (Classical Ellipticals, CLEs) from the MaNGA/SDSS-IV DR15 survey. From their 2D stellar light and mass maps, we explore the differences between the radial mass and light distributions in the rest-frame bands g, r, and i as functions of look-back time, tlb, or redshift, z. We characterize these differences through the ratios between the following mass- and light-derived global properties: sizes, concentrations, and effective surface densities. We find that the mass-to-light ratios of these properties change with tlb, more the more massive the galaxies are. The CLE galaxy archaeological progenitors are, on average, less compact, concentrated, and dense in light than in mass as z decreases. However, at later times, when also the evolution of the progenitors becomes passive at all radii, there is an upturn in these trends and the differences between mass and light in compactness/concentration decrease towards z ∼ 0. The trends in the ratios of mass-to-light sizes agree qualitatively with results from direct observations in galaxy surveys at different redshifts. We discuss the caveats and interpretations of our results, and speculate that the strong structural evolution found in some previous studies for early-type galaxies could be explained partially by photometric changes rather than by intrinsic structural changes.
An environmental analysis of the Type Ib SN 2019yvr and the possible presence of an inflated binary companion
Authors: Sun Ning-Chen , Maund Justyn R , Crowther Paul A , Hirai Ryosuke , Kashapov Amir , Liu Ji-Feng , Liu Liang-Duan , Zapartas Emmanouil 
Published: December 2021

ABSTRACT
SN 2019yvr is the second Type Ib supernova (SN) with a possible direct detection of its progenitor (system); however, the spectral energy distribution (SED) of the pre-explosion source appears much cooler and overluminous than an expected helium-star progenitor. Using Hubble Space Telescope (HST) images and MUSE integral-field-unit (IFU) spectroscopy, we find the SN environment contains three episodes of star formation; the low ejecta mass suggests the SN progenitor is most likely from the oldest population, corresponding to an initial mass of 10.4$^{+1.5}_{-1.3}$ M⊙. The pre-explosion SED can be reproduced by two components, one for the hot and compact SN progenitor and one for a cool and inflated yellow hypergiant (YHG) companion that dominates the brightness. Thus, SN 2019yvr could possibly be the first Type Ib/c SN for which the progenitor’s binary companion is directly detected on pre-explosion images. Both the low progenitor mass and the YHG companion suggest significant binary interaction during their evolution. Similar to SN 2014C, SN 2019yvr exhibits a metamorphosis from Type Ib to Type IIn, showing signatures of interaction with hydrogen-rich circumstellar material (CSM) at &gt;150 d; our result supports enhanced pre-SN mass-loss as an important process for hydrogen-poor stars at the lower mass end of core-collapse SN progenitors.
Harvesting random embedding for high-frequency change-point detection in temporal complex systems
Authors: Hou Jia-Wen , Ma Huan-Fei , He Dake , Sun Jie , Nie Qing , Lin Wei 
Published: December 2021

AbstractRecent investigations have revealed that dynamics of complex networks and systems are crucially dependent on the temporal structures. Accurate detection of the time instant at which a system changes its internal structures has become a tremendously significant mission, beneficial to fully understanding the underlying mechanisms of evolving systems, and adequately modeling and predicting the dynamics of the systems as well. In real-world applications, due to a lack of prior knowledge on the explicit equations of evolving systems, an open challenge is how to develop a practical and model-free method to achieve the mission based merely on the time-series data recorded from real-world systems. Here, we develop such a model-free approach, named temporal change-point detection (TCD), and integrate both dynamical and statistical methods to address this important challenge in a novel way. The proposed TCD approach, basing on exploitation of spatial information of the observed time series of high dimensions, is able not only to detect the separate change points of the concerned systems without knowing, a priori, any information of the equations of the systems, but also to harvest all the change points emergent in a relatively high-frequency manner, which cannot be directly achieved by using the existing methods and techniques. Practical effectiveness is comprehensively demonstrated using the data from the representative complex dynamics and real-world systems from biology to geology and even to social science.
Evaluating the Impact of Language Concordance on Coronavirus Disease 2019 Contact Tracing Outcomes Among Spanish-Speaking Adults in San Francisco Between June and November 2020
Authors: Eliaz Amity , Blair Alden H , Chen Yea-Hung , Fernandez Alicia , Ernst Alexandra , Mirjahangir Joy , Celentano Jessica , Sachdev Darpun , Enanoria Wayne , Reid Michael J A 
Published: December 2021

Abstract
We evaluated the impact of language concordance—clinician or public health worker fluency in a patient’s primary language—on coronavirus disease 2019 (COVID-19) contact tracing outcomes among 2668 Spanish-speaking adults in San Francisco. Language concordance was associated with 20% greater odds of COVID-19 testing and 53% greater odds of support service referrals.
Adapting Serosurveys for the SARS-CoV-2 Vaccine Era
Authors: Duarte Nathan , Yanes-Lane Mercedes , Arora Rahul K , Bobrovitz Niklas , Liu Michael , Bego Mariana G , Yan Tingting , Cao Christian , Gurry Celine , Hankins Catherine A , Cheng Matthew Pellan , Gingras Anne-Claude , Mazer Bruce D , Papenburg Jesse , Langlois Marc-André 
Published: December 2021

Abstract
Population-level immune surveillance, which includes monitoring exposure and assessing vaccine-induced immunity, is a crucial component of public health decision-making during a pandemic. Serosurveys estimating the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in the population played a key role in characterizing SARS-CoV-2 epidemiology during the early phases of the pandemic. Existing serosurveys provide infrastructure to continue immune surveillance but must be adapted to remain relevant in the SARS-CoV-2 vaccine era. Here, we delineate how SARS-CoV-2 serosurveys should be designed to distinguish infection- and vaccine-induced humoral immune responses to efficiently monitor the evolution of the pandemic. We discuss how serosurvey results can inform vaccine distribution to improve allocation efficiency in countries with scarce vaccine supplies and help assess the need for booster doses in countries with substantial vaccine coverage.
Similarities between the biochemical composition of jellyfish body and mucus
Authors: Hubot Nathan , Giering Sarah L C , Lucas Cathy H 
Published: December 2021

Abstract
Recognition of the importance of jellyfish in marine ecosystems is growing. Yet, the biochemical composition of the mucus that jellyfish constantly excrete is poorly characterized. Here we analyzed the macromolecular (proteins, lipids and carbohydrates) and elemental (carbon and nitrogen) composition of the body and mucus of five scyphozoan jellyfish species (Aurelia aurita, Chrysaora fulgida, Chrysaora pacifica, Eupilema inexpectata and Rhizostoma pulmo). We found that the relative contribution of the different macromolecules and elements in the jellyfish body and mucus was similar across all species, with protein being the major component in all samples (81 ± 4% of macromolecules; 3.6 ± 3.1% of dry weight, DW) followed by lipids (13 ± 4% of macromolecules; 0.5 ± 0.4%DW) and carbohydrates (6 ± 3% of macromolecules; 0.3 ± 0.4%DW). The energy content of the jellyfish matter ranged from 0.2 to 3.1 KJ g−1 DW. Carbon and nitrogen content was 3.7 ± 3.0 and 1.0 ± 0.8%DW, respectively. The average ratios of protein:lipid:carbohydrate and carbon:nitrogen for all samples were 14.6:2.3:1 and 3.8:1, respectively. Our study highlights the biochemical similarity between the jellyfish body and mucus and provides convenient and valuable ratios to support the integration of jellyfish into trophic and biogeochemical models.
Fast and global reorganization of the chloroplast protein biogenesis network during heat acclimation
Authors: Trösch Raphael , Ries Fabian , Westrich Lisa Désirée , Gao Yang , Herkt Claudia , Hoppstädter Julia , Heck-Roth Johannes , Mustas Matthieu , Scheuring David , Choquet Yves , Räschle Markus , Zoschke Reimo , Willmund Felix 
Published: December 2021

Abstract
Photosynthesis is a central determinant of plant biomass production, but its homeostasis is increasingly challenged by heat. Little is known about the sensitive regulatory principles involved in heat acclimation that underly the biogenesis and repair of chloroplast-encoded core subunits of photosynthetic complexes. Employing time-resolved ribosome and transcript profiling together with selective ribosome proteomics, we systematically deciphered these processes in chloroplasts of Chlamydomonas reinhardtii. We revealed protein biosynthesis and altered translation elongation as central processes for heat acclimation and showed that these principles are conserved between the alga and the flowering plant Nicotiana tabacum. Short-term heat exposure resulted in specific translational repression of chlorophyll a-containing core antenna proteins of photosystems I and II. Furthermore, translocation of ribosome nascent chain complexes to thylakoid membranes was affected, as reflected by the increased accumulation of stromal cpSRP54-bound ribosomes. The successful recovery of synthesizing these proteins under prolonged acclimation of nonlethal heat conditions was associated with specific changes of the co-translational protein interaction network, including increased ribosome association of chlorophyll biogenesis enzymes and acclimation factors responsible for complex assembly. We hypothesize that co-translational cofactor binding and targeting might be bottlenecks under heat but become optimized upon heat acclimation to sustain correct co-translational protein complex assembly.
A bibliometric study on the R&D funding and academic research performance in Shenzhen
Authors: Zou Yawen 
Published: December 2021

AbstractThis study aims to shed light on how research and development (R&D) funding plays a role in producing academic articles in Shenzhen from 2008 to 2020. The metadata from the Web of Science database, various governmental documents, and relevant literature can help understand the structure of R&D spending, the publication of scholarly articles, the funding programs, recipient institutions, research categories, and how geographical factors play a role. The prosperous economy has enabled the increased input of municipal and national governmental funding. The majority of scholarly articles are now funded publicly rather than privately and are published by public universities and research institutes rather than private firms. Geography plays an important role in the cooperation of Shenzhen’s scientists and other domestic and worldwide scholars. To better understand the academic performance of Shenzhen, this article used a bibliometric method to compare its academic performance with that of Silicon Valley.
Hydraulic traits are coupled with plant anatomical traits under drought–rewatering cycles in Ginkgo biloba L.
Authors: Li Shan , Li Xin , Wang Jie , Chen Zhicheng , Lu Sen , Wan Xianchong , Sun Hongyan , Wang Li , Delzon Sylvain , Cochard Herve , Jiang Xiaomei , Shu Jianhua , Zheng Jingming , Yin Yafang 
Published: December 2021

Abstract
Investigating the responses of plant anatomical traits of trees to drought–rewatering cycles helps us to understand their responses to climate change; however, such work has not been adequately reported. In this study, Ginkgo biloba L. saplings were subjected to moderate, severe, extreme and lethal drought conditions by withholding water according to the percentage loss of hydraulic conductivity (PLC) and rewatering on a regular basis. Samples of phloem, cambium and xylem were collected to quantify their cellular properties including cambium and phloem cell vitality, xylem growth ring width, pit aspiration rates and pit membrane thickness using light microscopy and transmission microscopy. The results showed that the mortality rate of G. biloba saplings reached 90% at approximately P88 (xylem water potential inducing 88% loss of hydraulic conductivity). The onset of cambium and phloem cell mortality might be in accordance with that of xylem embolism. Close negative correlations between xylem water potential and PLC and between xylem water potential and cambium and phloem mortality suggested that xylem hydraulic traits are coupled with anatomical traits under declining xylem water potential. Cambium and phloem cell vitality as well as xylem growth ring width decreased significantly with increasing drought conditions. However, xylem pit membrane thickness, cambial zone width and cambial cell geometry were not affected by the drought–rewatering cycles. The tracheid radial diameter, intertracheid cell wall thickness and tracheid density decreased significantly during both drought conditions and rewatering conditions. In addition to hydraulic traits, cambium and phloem cell vitality can be used as anatomical traits to evaluate the mortality of G. biloba under drought. Future work is proposed to observe the dynamics of pit aspiration rates under drought–rewatering cycles in situ to deepen our understanding of the essential role of bordered pits in the ‘air-seeding’ mechanism.