bluuebunny/crossref_metadata_2025_split huggingface dataset:
The spatiotemporal changes and trade-off synergistic effects of ecosystem services in the Jianghan Plain of China under different scenarios
Authors: Ren Wei , Zhang Xuesong , Peng Hongjie 
Published: February 2024

Abstract
Disturbance from human activities has intensified the evolution of ecosystem structure in the Jianghan Plain of China, leading to intensified conflicts between ecosystem services. It is essential to clarify the trade-off synergies between ecosystem services in the Jianghan Plain of China to better coordinate the economic and social development and ecological protection of the region. Based on historical data and scenario predictions using the GeoSOS-FLUS model, the InVEST model was applied to five key ecosystem services: Carbon storage, crop production, habitat quality, soil conservation and water yield from 2000 to 2020. Spearman correlation analysis was used to explore the trade-off synergies between different ecosystem services in space and time. The results showed that arable land and water land areas are the most important land types in the Jianghan Plain of China. From 2000 to 2020, the increase in build-up land and water land areas was accompanied by a decrease in arable land, forest land and unused land, and an increase in forest land. The natural development scenario in 2035 continues this trend except forest land reduction, while the ecological protection scenario reverses this trend. From 2000 to 2020, crop production, water yield, and soil conservation increased in the Jianghan Plain of China, while carbon storage and habitat quality declined significantly, showing a spatial distribution pattern of higher in the northwest and lower in the southeast. The comprehensive ecosystem services simulated in 2035 showed a downward trend compared with 2020, and the ecological protection scenario has the smallest decrease. There is an overall synergistic relationship between the five ecosystem services in the Jianghan Plain of China, and the strongest synergistic relationship is between soil conservation and water yield. The spatiotemporal relationship between the ecosystems in the Jianghan Plain of China is dynamic and requires sustainable management. Thus, it is necessary to rationally utilize land resources and enhance the ecological functions of the area to minimize trade-offs based on scientific land and spatial planning to maximize synergy.
Research on the impact of public environmental participation on foreign direct investment: evidence from China
Authors: Xu Yihua , Du Zizhe , Kong Lingqian , Xu Kai 
Published: February 2024

Abstract
Since the reform and opening up, the scale of foreign direct investment (FDI) inflows into China has been continuously expanding, but the imperfect environmental governance mechanism has led to increasingly severe environmental problems in China. This paper studies the impact and mechanism of public environmental participation (PEP) on FDI. The results show that PEP has a significant negative impact on the FDI inflow of enterprises. Hindrance effect of PEP on enterprise FDI is more obvious in economically developed eastern regions, coastal cities and first-tier cities. PEP has a greater impact on FDI in high-tech industries. The economic growth target has a restraining effect on China’s environmental protection, weakening public supervision of FDI. The constraint of economic growth targets increases the pressure to develop the economy, and weakens the inhibitory effect of PEP on corporate FDI. This study provides important empirical evidence for improving China’s environmental governance system and high-quality utilization of foreign investment.
Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends
Authors: Lin Haochuan 
Published: February 2024

Abstract
Although traffic-related air pollution (TRAP) has been a long-standing problem, few bibliometric- and visual analysis-based literature reviews have been performed. In light of this issue, future research plans and directions in the field of TRAP must be determined. Therefore, this study performed a bibliometric analysis of the TRAP publishing trends, including the countries, institutional collaborations, author collaborations, keywords, and hotspots. The information visualization software CiteSpace was used to analyze the relevant literature collected from the Web of Science (WoS) from 2003 to 2022. The main findings of this study included the following: (1) the main keywords in TRAP research are particulate matter, exposure, health, nitrogen dioxide, and mortality; (2) current research is focused on the impacts of TRAP on humans; and (3) potential hotspots for future TRAP research are source apportionment, asthma, heart rate variability, and mobile monitoring. This article aims to develop a better understanding of current research trends in TRAP and provide directions for future research.
The End of the Augustinian Atemporality around the Turn of the First Millennium
Authors: Gabriele Matthew 
Published: February 2024

Abstract
In tenth- and eleventh-century Europe, time began to become unstuck. Although this has been called a fallow period in the history of biblical exegesis, we can actually see how exegesis overwhelmed our subjects. For authors such as Odo of Cluny and Rodulfus Glaber, among others, everything around them seemed pregnant with meaning. As such, history-writing itself began to become a form of exegesis—a way of interpreting God’s plan. More importantly, the hermeneutics of the cloister were pushed outwards from the cloister and the aristocracy was called to enact events in sacred history. It seemed like a new age of prophecy had begun.
Use, failure, and non-compliance of respiratory personal protective equipment and risk of upper respiratory tract infections—A longitudinal repeated measurement study during the COVID-19 pandemic among healthcare workers in Denmark
Authors: Biering Karin , Kinnerup Martin , Cramer Christine , Dalbøge Annett , Toft Würtz Else , Lund Würtz Anne Mette , Kolstad Henrik Albert , Schlünssen Vivi , Meulengracht Flachs Esben , Nielsen Kent J 
Published: February 2024

Abstract

Introduction
Upper respiratory tract infections (URTI) are common and a common cause of sick-leave for healthcare workers, and furthermore pose a threat especially for patients susceptible to other diseases. Sufficient use of respiratory protective equipment (RPE) may protect both the workers and the patients. The COVID-19 pandemic provided a unique opportunity to study the association between use of RPE and URTI in a real-life setting. The aim of this study was to examine if failure of RPE or non-compliance with RPE guidelines increases the risk of non-COVID-19 URTI symptoms among healthcare workers.

Methods
In a longitudinal cohort study, we collected self-reported data daily on work tasks, use of RPE, and URTI symptoms among healthcare workers with patient contact in 2 Danish Regions in 2 time periods during the COVID-19 pandemic. The association between failure of RPE or non-compliance with RPE guidelines and URTI symptoms was analyzed separately by generalized linear models. Persons tested positive for severe acute respiratory syndrome coronavirus 2 were censored from the analyses. The 2 waves of data collection were analyzed separately, as there were differences in recommendations of RPE during the 2 waves.

Results
We found that for healthcare workers performing work tasks with a risk of transmission of viruses or bacteria, failure of RPE was associated with an increased risk of URTI symptoms, RR: 1.65[0.53–5.14] in wave 1 and RR: 1.30[0.56–3.03] in wave 2. Also non-compliance with RPE guidelines was associated with an increased risk of URTI symptoms compared to the use of RPE in wave 1, RR: 1.28[0.87–1.87] and wave 2, RR: 1.39[1.01–1.91]. Stratifying on high- versus low-risk tasks showed that the risk related to failure and non-compliance was primarily associated with high-risk tasks, although not statistically significant.

Discussion
The study was conducted during the COVID-19 pandemic and thus may be affected by other preventive measures in society. However, this gave the opportunity to study the use of RPE in a real-life setting, also in departments that did not previously use RPE. The circumstances in the 2 time periods of data collection differed and were analyzed separately and thus the sample size was limited and affected the precision of the estimates.

Conclusion
Failures of RPE and non-compliance with RPE guidelines may increase the risk of URTI, compared to those who reported use of RPE as recommended. The implications of these findings are that the use of RPE to prevent URTI could be considered, especially while performing high-risk tasks where other prevention strategies are not achievable.
A compressive seeding algorithm in conjunction with reordering-based compression
Authors: Ji Fahu , Zhou Qian , Ruan Jue , Zhu Zexuan , Liu Xianming 
Published: February 2024

Abstract

Motivation
Seeding is a rate-limiting stage in sequence alignment for next-generation sequencing reads. The existing optimization algorithms typically utilize hardware and machine-learning techniques to accelerate seeding. However, an efficient solution provided by professional next-generation sequencing compressors has been largely overlooked by far. In addition to achieving remarkable compression ratios by reordering reads, these compressors provide valuable insights for downstream alignment that reveal the repetitive computations accounting for more than 50% of seeding procedure in commonly used short read aligner BWA-MEM at typical sequencing coverage. Nevertheless, the exploited redundancy information is not fully realized or utilized.

Results
In this study, we present a compressive seeding algorithm, named CompSeed, to fill the gap. CompSeed, in collaboration with the existing reordering-based compression tools, finishes the BWA-MEM seeding process in about half the time by caching all intermediate seeding results in compact trie structures to directly answer repetitive inquiries that frequently cause random memory accesses. Furthermore, CompSeed demonstrates better performance as sequencing coverage increases, as it focuses solely on the small informative portion of sequencing reads after compression. The innovative strategy highlights the promising potential of integrating sequence compression and alignment to tackle the ever-growing volume of sequencing data.

Availability and implementation
CompSeed is available at https://github.com/i-xiaohu/CompSeed.
Inferring HIV transmission patterns from viral deep-sequence data via latent typed point processes
Authors: Bu Fan , Kagaayi Joseph , Grabowski Mary Kate , Ratmann Oliver , Xu Jason 
Published: February 2024

ABSTRACT
Viral deep-sequencing data play a crucial role toward understanding disease transmission network flows, providing higher resolution compared to standard Sanger sequencing. To more fully utilize these rich data and account for the uncertainties in outcomes from phylogenetic analyses, we propose a spatial Poisson process model to uncover human immunodeficiency virus (HIV) transmission flow patterns at the population level. We represent pairings of individuals with viral sequence data as typed points, with coordinates representing covariates such as gender and age and point types representing the unobserved transmission statuses (linkage and direction). Points are associated with observed scores on the strength of evidence for each transmission status that are obtained through standard deep-sequence phylogenetic analysis. Our method is able to jointly infer the latent transmission statuses for all pairings and the transmission flow surface on the source-recipient covariate space. In contrast to existing methods, our framework does not require preclassification of the transmission statuses of data points, and instead learns them probabilistically through a fully Bayesian inference scheme. By directly modeling continuous spatial processes with smooth densities, our method enjoys significant computational advantages compared to previous methods that rely on discretization of the covariate space. We demonstrate that our framework can capture age structures in HIV transmission at high resolution, bringing valuable insights in a case study on viral deep-sequencing data from Southern Uganda.
A flexible framework for spatial capture-recapture with unknown identities
Authors: van Dam-Bates Paul , Papathomas Michail , Stevenson Ben C , Fewster Rachel M , Turek Daniel , Stewart Frances E C , Borchers David L 
Published: February 2024

ABSTRACT
Camera traps or acoustic recorders are often used to sample wildlife populations. When animals can be individually identified, these data can be used with spatial capture-recapture (SCR) methods to assess populations. However, obtaining animal identities is often labor-intensive and not always possible for all detected animals. To address this problem, we formulate SCR, including acoustic SCR, as a marked Poisson process, comprising a single counting process for the detections of all animals and a mark distribution for what is observed (eg, animal identity, detector location). The counting process applies equally when it is animals appearing in front of camera traps and when vocalizations are captured by microphones, although the definition of a mark changes. When animals cannot be uniquely identified, the observed marks arise from a mixture of mark distributions defined by the animal activity centers and additional characteristics. Our method generalizes existing latent identity SCR models and provides an integrated framework that includes acoustic SCR. We apply our method to estimate density from a camera trap study of fisher (Pekania pennanti) and an acoustic survey of Cape Peninsula moss frog (Arthroleptella lightfooti). We also test it through simulation. We find latent identity SCR with additional marks such as sex or time of arrival to be a reliable method for estimating animal density.
Leaf micromorphology in Rosaceae tribe Spiraeeae (subfamily Amygdaloideae) and its systematic and ecological implications
Authors: Song Jun-Ho , Oak Min-Kyeong , Hong Suk-Pyo 
Published: February 2024

Abstract
We conducted a comparative micromorphological study on the leaves of all nine genera of the Rosaceae tribe Spiraeeae, including the monotypic Korean genus Pentactina. Spiraeeae possess amphistomatic and hypostomatic leaves. Leaf epidermal characteristics varied with the morphology of stomatal complexes, epidermal cells, trichomes, and epicuticular waxes. Specific leaf epidermal features may be systematically relevant for identifying lower taxonomic levels, genera, and/or species. For example, papillate epidermal cell types were consistently observed in Spiraea sect. Calospira. Hirtellous trichomes are diagnostic characteristics of the genera Holodiscus and Kelseya among this tribe. Short-stalked capitate glandular and crispate villous trichomes were only observed in Holodiscus microphyllus and Spiraea douglasii, respectively. We also confirmed that leaf epidermal characteristics strongly support the independent taxonomic position of the Korean endemic Pentactina and the transfer from Physocarpus to Spiraea of Physocarpus insularis. Moreover, we identified xeromorphic features in the studied taxa and inferred their ecological functions, such as water repellence and anti-transpirant activities. This study presents new perspectives for future research on character evolution and xeromorphic adaptation on the basis of leaf epidermal characteristics.
Spatiotemporal Trends in Group A Streptococcal Pharyngitis in the United States
Authors: Kline Madeleine C , Kissler Stephen M , Whittles Lilith K , Barnett Michael L , Grad Yonatan H 
Published: February 2024

Abstract

Background
Group A Streptococcus (GAS) causes an estimated 5.2 million outpatient visits for pharyngitis annually in the United States, with incidence peaking in winter, but the annual spatiotemporal pattern of GAS pharyngitis across the United States is poorly characterized.

Methods
We used outpatient claims data from individuals with private medical insurance between 2010 and 2018 to quantify GAS pharyngitis visit rates across U.S. census regions, subregions, and states. We evaluated seasonal and age-based patterns of geographic spread and the association between school start dates and the summertime upward inflection in GAS visits.

Results
The South had the most visits per person (yearly average, 39.11 visits per 1000 people; 95% confidence interval, 36.21–42.01) and the West had the fewest (yearly average, 17.63 visits per 1000 people; 95% confidence interval, 16.76–18.49). Visits increased earliest in the South and in school-age children. Differences in visits between the South and other regions were most pronounced in the late summer through early winter. Visits peaked earliest in central southern states, in December to January, and latest on the coasts, in March. The onset of the rise in GAS pharyngitis visits correlated with, but preceded, average school start times.

Conclusions
The burden and timing of GAS pharyngitis varied across the continental United States, with the South experiencing the highest overall rates and earliest onset and peak in outpatient visits. Understanding the drivers of these regional differences in GAS pharyngitis will help in identifying and targeting prevention measures.
Pattern Models: A Dynamic Epistemic Logic For Distributed Systems
Authors: Castañeda Armando , van Ditmarsch Hans , Rosenblueth David A , Velázquez Diego A 
Published: February 2024

Abstract
We introduce pattern models, a dynamic epistemic logic for analyzing distributed systems. First, we present a version of pattern models where the full-information protocol, widely studied in distributed computability, is static in the product definition of pattern models. Next, we parametrize such a logic so as to add the capability to model dynamics of arbitrary deterministic protocols. We thus give a systematic construction of pattern models for a large variety of distributed-computing models called dynamic-network models. Using pattern models, the epistemic dynamics of a proper subclass of dynamic-network models called oblivious can be described using a static pattern model, hence using constant space. For this case, we present a sufficient unsolvability condition for the consensus task that can be easily verified analyzing the structure of the initial epistemic model and the pattern model for a given oblivious dynamic-network model.
Relation among hypertriglyceridaemia, cardiometabolic disease, and hereditary factors—design and rationale of the Stockholm hyperTRIglyceridaemia REGister study
Authors: Andersson Daniel P , Littmann Karin , Kindborg Gustav , Eklund Daniel , Sejersen Kristina , Yan Jane , Eriksson Hogling Daniel , Parini Paolo , Brinck Jonas 
Published: February 2024

Abstract

Aims
Hypertriglyceridaemia (hTG) is associated with atherosclerotic cardiovascular disease, pancreatitis, and non-alcoholic fatty liver disease (NAFLD) in large population-based studies. The understanding of the impact of hereditary hTG and cardiometabolic disease status on the development of hTG and its associated cardiometabolic outcomes is more limited. We aimed to establish a multigenerational cohort to enable studies of the relationship between hTG, cardiometabolic disease and hereditary factors.

Methods and results
The population-based observational Stockholm hyperTRIglyceridaemia REGister (STRIREG) study includes 1 460 184 index individuals who have measured plasma triglycerides in the clinical routine in Region Stockholm, Sweden, between 1 January 2000 and 31 December 2021. The laboratory measurements also included basic haematology, blood lipid panel, liver function tests, and HbA1c. Using the Swedish Multi-Generation register, 2 147 635 parents and siblings to the indexes were identified to form the complete study cohort. Laboratory data from participants were combined with data from several national registers that provided information on the cause of death, medical diagnoses, dispensed medicines, and socioeconomic factors including country of birth, education level, and marital status.

Conclusion
The multi-generational longitudinal STRIREG cohort provides a unique opportunity to investigate different aspects of hTG as well as heredity for other metabolic diseases. Important outcome measures include mortality, cardiovascular mortality, major cardiovascular events, development of incident diabetes, and NAFLD. The STRIREG study will provide a deeper understanding of the impact of hereditary factors and associated cardiometabolic complications.
Risk and incidence of cardiovascular disease associated with polycystic ovary syndrome
Authors: Wan Zhengwei , Zhao Jianhui , Ye Yongju , Sun Zhaochen , Li Kangning , Chen Yan , Fang Yuan , Zhang Yixuan , Lin Jiali , Sun Ping , Zhang Tingting , Shuai Ping , Li Dongyu , Li Pan , Zheng Huimin , Li Xue , Liu Yuping 
Published: February 2024

Abstract

Aims
We aimed to evaluate the risk of cardiovascular disease (CVD) in women with polycystic ovary syndrome (PCOS) and estimate the global incidence of PCOS-associated CVD.

Methods and results
We conducted a meta-analysis across five databases to evaluate the risk of CVD among women with PCOS. The global incidence of PCOS-associated CVD was calculated by a population attributable fraction modelling using the pooled risk ratio (RR), PCOS prevalence, CVD incidence number, and age-standardized rate (ASIR), from the Global Burden of Diseases 2019. An estimated annual percentage change (EAPC) was used to assess the temporal trend of PCOS-associated CVD. The risk of CVD was significantly increased in women with PCOS for an all-age group (pooled RR 1.51, 95% confidence interval 1.36–1.69) and 10- to 54-year-olds (1.37, 1.17–1.59). Globally, from 1990 to 2019, the PCOS-associated CVD cases in women across the all-age group has raised from 102 530 to 235 560. The most affected regions were East Asia and the Pacific (108 430, 66 090–166 150) in 2019. South Asia has the highest increase trend of PCOS-associated CVD ASIRs (EAPC 2.61%, 2.49–2.73). The annual increase in ASIR in PCOS–CVD incidence for the 10–54 age group (EAPC 0.49%, 0.41–0.56) is faster than that of the all-age group (0.34, 0.27–0.42). The middle- or low-middle sociodemographic index countries experienced higher increase trend of CVD due to PCOS in the past 30 years.

Conclusion
Women with PCOS have a significantly increased risk of CVD. Efficient measures to enhance its prevention and treatment are important for regions with a high PCOS-associated CVD burden, especially premature CVD in women under 55 years.