bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of Achievement of the American Heart Association's Life's Essential 8 Goals With Incident Cardiovascular Diseases in the SHFS
Authors: Paing Pyone Yadanar , Littman Alyson J. , Reese Jessica A. , Sitlani Colleen M. , Umans Jason G. , Cole Shelley A. , Zhang Ying , Ali Tauqeer , Fretts Amanda M. 
Published: March 2024

Background
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in American Indian people. In 2022, the American Heart Association developed the Life's Essential 8 goals to promote cardiovascular health (CVH) for Americans, composed of diet, physical activity, nicotine exposure, sleep, body mass index, blood lipids, blood pressure, and blood glucose. We examined whether achievement of Life's Essential 8 goals was associated with incident CVD among SHFS (Strong Heart Family Study) participants.

Methods and Results
A total of 2139 SHFS participants without CVD at baseline were included in analyses. We created a composite CVH score based on achievement of Life's Essential 8 goals, excluding sleep. Scores of 0 to 49 represented low CVH, 50 to 69 represented moderate CVH, and 70 to 100 represented high CVH. Incident CVD was defined as incident myocardial infarction, coronary heart disease, congestive heart failure, or stroke. Cox proportional hazard models were used to examine the relationship of CVH and incident CVD. The incidence rate of CVD at the 20‐year follow‐up was 7.43 per 1000 person‐years. Compared with participants with low CVH, participants with moderate and high CVH had a lower risk of incident CVD; the hazard ratios and 95% CIs for incident CVD for moderate and high CVH were 0.52 (95% CI, 0.40–0.68) and 0.25 (95% CI, 0.14–0.44), respectively, after adjustment for age, sex, education, and study site.

Conclusions
Better CVH was associated with lower CVD risk which highlights the need for comprehensive public health interventions targeting CVH promotion to reduce CVD risk in American Indian communities.
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network
Authors: Crutcher Garrett 
Published: March 2024

Abstract
To navigate the world around us, neural circuits rapidly adapt to their environment learning generalizable strategies to decode information. When modeling these learning strategies, network models find the optimal solution to satisfy one task condition but fail when introduced to a novel task or even a different stimulus in the same space. In the experiments described in this letter, I investigate the role of lateral gap junctions in learning generalizable strategies to process information. Lateral gap junctions are formed by connexin proteins creating an open pore that allows for direct electrical signaling between two neurons. During neural development, the rate of gap junctions is high, and daughter cells that share similar tuning properties are more likely to be connected by these junctions. Gap junctions are highly plastic and get heavily pruned throughout development. I hypothesize that they mediate generalized learning by imprinting the weighting structure within a layer to avoid overfitting to one task condition. To test this hypothesis, I implemented a feedforward probabilistic neural network mimicking a cortical fast spiking neuron circuit that is heavily involved in movement. Many of these cells are tuned to speeds that I used as the input stimulus for the network to estimate. When training this network using a delta learning rule, both a laterally connected network and an unconnected network can estimate a single speed. However, when asking the network to estimate two or more speeds, alternated in training, an unconnected network either cannot learn speed or optimizes to a singular speed, while the laterally connected network learns the generalizable strategy and can estimate both speeds. These results suggest that lateral gap junctions between neurons enable generalized learning, which may help explain learning differences across life span.
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay
Authors: Kuroki Satoshi , Mizuseki Kenji 
Published: March 2024

Abstract
The hippocampus plays a critical role in the compression and retrieval of sequential information. During wakefulness, it achieves this through theta phase precession and theta sequences. Subsequently, during periods of sleep or rest, the compressed information reactivates through sharp-wave ripple events, manifesting as memory replay. However, how these sequential neuronal activities are generated and how they store information about the external environment remain unknown. We developed a hippocampal cornu ammonis 3 (CA3) computational model based on anatomical and electrophysiological evidence from the biological CA3 circuit to address these questions. The model comprises theta rhythm inhibition, place input, and CA3-CA3 plastic recurrent connection. The model can compress the sequence of the external inputs, reproduce theta phase precession and replay, learn additional sequences, and reorganize previously learned sequences. A gradual increase in synaptic inputs, controlled by interactions between theta-paced inhibition and place inputs, explained the mechanism of sequence acquisition. This model highlights the crucial role of plasticity in the CA3 recurrent connection and theta oscillational dynamics and hypothesizes how the CA3 circuit acquires, compresses, and replays sequential information.
Unifying Structured Data as Graph for Data-to-Text
Pre-Training
Authors: Li Shujie , Li Liang , Geng Ruiying , Yang Min , Li Binhua , Yuan Guanghu , He Wanwei , Yuan Shao , Ma Can , Huang Fei , Li Yongbin 
Published: March 2024

Abstract
Data-to-text (D2T) generation aims to transform structured data into natural language text. Data-to-text pre-training has proved to be powerful in enhancing D2T generation and yields impressive performance. However, previous pre-training methods either oversimplified structured data into a sequence without considering input structures or designed training objectives tailored for a specific data structure (e.g., table or knowledge graph). In this paper, we unify different types of structured data (i.e., table, key-value data, knowledge graph) into the graph format and cast different D2T generation tasks as graph-to-text generation. To effectively exploit the structural information of the input graph, we propose a structure-enhanced pre-training method for D2T generation by designing a structure-enhanced Transformer. Concretely, we devise a position matrix for the Transformer, encoding relative positional information of connected nodes in the input graph. In addition, we propose a new attention matrix to incorporate graph structures into the original Transformer by taking the available explicit connectivity structure into account. Extensive experiments on six benchmark datasets show the effectiveness of our model. Our source codes are available at https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/unid2t.
Erasmus’ Cambridge Years (1511–1514)
Authors: van Kooten George , Payne Matthew , Rex Richard , Bloemendal Jan 
Published: March 2024

Abstract
Despite the clear attestation of Erasmus’ three-year period in Cambridge from 1511 to 1514, the reason for and nature of his stay—including whether he was also the official incumbent of the Lady Margaret’s professorship, created in 1502 as the first established chair at the university—are still contested. This paper argues that three issues have not been (sufficiently) taken on board in these discussions: namely, the statutes for the ‘lecture of sacred Theology founded by Margaret, Countess of Richmond’; the fact that in December 1512, Erasmus was paid to compose the epitaph for Lady Margaret’s tomb in Westminster Abbey; and the nature of Erasmus’ work whilst he was at Cambridge, which he describes in a letter as teaching ‘Greek and sacred literature’ (Ep. 296). Our new proposal is that Erasmus’ three-year stay in Cambridge began with an initial year in which he taught Greek, explored his opportunities, and prepared himself for the competition surrounding the election for the Lady Margaret’s professorship. Yet the Cambridge theologians did not support him in the election, and he ultimately lost to a competitor. Erasmus’ failure to secure the Lady Margaret’s professorship is closely related to his understanding of theology as ‘sacred literature’, which allows it to be compared to ‘the (good) literature’ and philosophy of Greek and Roman authors. His defeat constitutes its own episode in the series of tensions between Christian biblical humanism and what Erasmus saw as modernist scholastic theology.
The “Sinicization” of Religion: Culture as Political Rhetoric
Authors: Ji Zhe , Xuan Fang 
Published: March 2024

Abstract
The “Sinicization of religion” policy launched in 2015 marked a turn in the Communist Party’s approach to religious governance, opening a new era of strict control over religion in post-reform China. This article first analyzes this policy in the context of the evolution of the CCP’s attitudes to religion over the past century. It then explores the elaboration process and its implications for related official discourse and follows with an examination of the promotion and implementation of this policy. The authors argue that the new conceptual design of “Sinicization” was aimed initially at exogenous religions but later became a general policy applied to all religions, as the central power of the Party realized its utility for subtly achieving absolute authority. Such a “Sinicization” is a projection of Xi Jinping’s “Chinese Dream” in the field of religious affairs, a dream of the Party’s permanent domination under the mantle of nationalism.
Radar Survey of Hail-Producing Storms and Environments during the 2018–19 Severe-Weather Season in the Córdoba Region of Argentina
Authors: Elkins Calvin M. , Hence Deanna A. 
Published: March 2024

Abstract
Frequent deep convective thunderstorms and mesoscale convective systems make the Córdoba region, near the Sierras de Córdoba mountain range, one of the most active areas on Earth for hail activity. Analysis of hail observations from trained observers and social media reports cross-referenced with operational radar observations identified the convective characteristics of hail-producing convective systems in central Argentina over a 6-month period divided into early (October–December 2018) and late seasons (January–March 2019). Reflectivity and dual-polarization characteristics from the Córdoba operational radar [Radar Meteorológico Argentina (RMA1)] were used to identify the convective modes of convective cells at time of positive hail indicators. Analysis of ERA5 upper-air and surface data examined convective environments of hail events and identified representative dynamic and thermodynamic environments. A majority of early season hail-producing cells were classified as discrete convection, while discrete and multicell occurrence evened out in the late season. Most hail-producing cells initiated directly adjacent to the Sierras in the late season, while cell initiation and hail production is further spread out in the early season. Dividing convective events into dynamic/thermodynamic regimes based on values of 1000 J kg−1 of CAPE and vertical wind shear of 20 m s−1 results in most early season events reflecting shear-dominant characteristics (low CAPE, high shear) and most late-season events exhibiting CAPE-dominant characteristics (high CAPE, low shear). Strength and placement of low-level temperature and moisture anomalies/advection and upper-level jets largely defined the differences in the dominant regimes.

Significance Statement
This study used regional radar data alongside hail reports from trained observers and social media to better understand the types and timing of storms identified as producing hail, given the lower resolution of satellite studies. Dividing the hail season (October–December; January–March) showed that within hail season, early season storms tended to be singular storms that formed across the region in environments with strong vertical winds and weak instability. Late-season storms were a mix of singular storms and multicellular storm systems focused on the mountains in weak vertical winds and strong instability. These results show differences from satellite studies and identify key representative hail-producing radar features and environmental regimes for this region, which could guide hail risk analysis within the severe-weather season.
Improving the ventilation of a classroom to achieve heating energy savings and better indoor air quality
Authors: Labihi Abdelouhab , Benakcha Younes , Meslem Amina , Byrne Paul , Collet Florence 
Published: March 2024

Indoor air quality and heating energy consumption are closely linked, especially in densely occupied spaces, as classrooms. In a classroom of Rennes University, a transient thermal simulation highlights the impact of ventilation on heating consumptions for different cases: (1) without controlled mechanical ventilation (CMV), (2) with a single flow CMV (SF CMV) of a regulatory flow of 18 m3.h−1. person−1 during periods of occupancy, and (3) a double flow CMV (DF CMV) whose flow is during periods of occupancy either equal to 18 m3.h−1. person−1 or (4) to 35 m3.h−1.person−1. The infiltration flowrate was evaluated experimentally using CO2 concentration measurements in the first case, which corresponds to the actual situation. In the normal use of the classroom with 30 persons inside, CO2 concentration exceeds 5000 ppm and the heating energy consumption is equal to 52 kWh.m−2.year−1. In case (2) and (3), CO2 concentration has a maximum level of 1350 ppm and the energy consumption is equal to 65 and 53 kWh.m−2.year−1, respectively. In case (4), the maximum CO2 concentration stays in the range 800-900 ppm without excessive heating consumption (58 kWh.m−2.year−1). Finally, by limiting the fresh air flowrate to 18 m3.h−1.person−1 in DF CMV and coupling it to a façade insulation (extra Case 5), the heating consumption is reduced to 32 kWh.m−2.year−1. These results are valuable within the context of the upcoming energy renovation strategy of the campus. Practical application In most schools, in France and elsewhere, insufficient ventilation flowrates are often observed compared to regulatory requirements. If compliance with ventilation standards and the subsequent revision of CMV installations are necessary to ensure the health of users, it is important to evaluate the energy cost of these renovations, and to identify the best choice to reduce heating consumptions. Our contribution is to compare different renovation choices in terms of two indicators: energy consumption and indoor air quality evaluated using CO2 concentration.
Green Transitions in Developing Countries: Perspectives on Women’s Political Leadership
Authors: Doan Nguyen , Doan Huong , Nguyen Canh Phuc 
Published: March 2024

Green transition by reducing CO2 emissions and curtailing the exploitation of natural resources while increasing renewable energy use and generation is one of the most important targets in sustainable development. This study investigated the impacts of women’s empowerment in politics on the green transition in developing countries. We applied a fixed-effects model to the panel data for 131 developing countries from 2000 to 2019. Our findings indicated that higher levels of participation by women in politics are likely to reduce CO2 emissions and reliance on natural resources. However, there was no statistically significant effect of women’s political empowerment on renewable energy consumption. Women’s political participation enhanced the transition towards sustainable energy sources such as geothermal and wind energy. We also found that the effects of women’s political participation on CO2 emissions were greater in countries with better political stability, government effectiveness, regulatory quality, rule of law, control of corruption, and voice and accountability. This study contributes to the growing literature in feminism and environmentalism on the achievement of sustainable development. JEL Codes: J16, O13, P48
Effects of adipose-derived cell supplementation on tendon-bone healing in a rat model of chronic rotator cuff tear with suprascapular nerve injury
Authors: Eshima Kenichiro , Ohzono Hiroki , Gotoh Masafumi , Abe Ryunosuke , Nakamura Hidehiro , Mitsui Yasuhiro , Hiraoka Koji , Okawa Takahiro 
Published: March 2024

Objective To investigate the effect of adipose-derived cells (ADCs) on tendon-bone healing in a rat model of chronic rotator cuff tear (RCT) with suprascapular nerve (SN) injury. Methods Adult rats underwent right shoulder surgery whereby the supraspinatus was detached, and SN injury was induced. ADCs were cultured from the animals’ abdominal fat. At 6 weeks post-surgery, the animals underwent surgical tendon repair; the ADC (+ve) group (n = 18) received an ADC injection, and the ADC (−ve) group (n = 18) received a saline injection. Shoulders were harvested at 10, 14, and 18 weeks and underwent histological, fluorescent, and biomechanical analyses. Results In the ADC (+ve) group, a firm enthesis, including dense mature fibrocartilage and well-aligned cells, were observed in the bone-tendon junction and fatty infiltration was less than in the ADC (−ve) group. Mean maximum stress and linear stiffness was greater in the ADC (+ve) compared with the ADC (−ve) group at 18 weeks. Conclusion ADC supplementation showed a positive effect on tendon-bone healing in a rat model of chronic RCT with accompanying SN injury. Therefore, ADC injection may possibly accelerate recovery in massive RCT injuries.
Relationship Between Sex-Specific Labor Market Performance and Breastfeeding Prevalence
Authors: Beltran-Silva Francisco , McInnis Nicardo 
Published: March 2024

Background: Prior research has explored the association between women’s employment status and breastfeeding at the individual level, however; a notable gap in scholarly inquiry exists regarding the relationship between labor market performance and breastfeeding at the population level. Research Aim: The aim of this paper is to investigate the association between labor market performance and breastfeeding prevalence in the United States. Methods: This study is a cross-sectional analysis of the association between labor market performance and the prevalence of breastfeeding. Our analysis is conducted at the state level using data published up to late 2021 from the Current Population Survey and the National Immunization Survey. The first dataset was used to construct aggregate and sex-specific state level indicators of labor market performance for both males and females. The second dataset supplied the proportion of mothers breastfeeding for the corresponding birth cohort from each state. Results: Higher average weekly hours worked by females in the year before giving birth was associated with a lower prevalence of breastfeeding, but employment rates among females did not significantly affect breastfeeding prevalence. Among males, current employment rates were positively associated with breastfeeding prevalence; however, no significant relationship was observed between breastfeeding prevalence and average weekly work hours worked. Conclusion: Sex-specific labor market performance may play a role in breastfeeding decisions and the timing of labor market performance relative to childbirth is important. Furthermore, these results highlight that employment rates and hours worked might be associated with child health through breastfeeding prevalence.
The Playing Motivations of Male and Female Gamers and the Effects of Stereotypes on Their Motivations in Honor of Kings
Authors: Li Chunqi , Fryer Luke K. , Shum Alex 
Published: March 2024

Introduction Honor of Kings (HoK) is one of the most popular mobile games worldwide. To understand why players actively engage with digital games, it is essential to focus on their gaming motivations. However, no previous studies were found to have investigated the kinds and depth of players’ motivations in this game. Moreover, the empirical research concerning the impact of stereotype threat and lift on players’ motivations is scant. Thus, this pre-registered study aims to examine male and female players’ gaming motivations in Honor of Kings and the effects of stereotypes on players’ motivations. Methods This study utilized Yee et al. (2012)’s motivational model. A 2 × 3 MANCOVA was performed for the outcome variables of achievement, social, and immersion motivations; with gender and stereotype activation (no activation, female, and male threat activation) as independent variables; and with age and gaming time as covariates (n = 421). Results Contrary to prevalent perceptions, the results suggested females had higher achievement and immersion motivations, but lower social motivation than males in Honor of Kings. Unexpectedly, only females’ immersion motivation was impaired under stereotype threat, and females demonstrated lower social motivation under stereotype lift. However, males were not affected by either stereotype threat or stereotype lift. Discussion The results suggest that caution is needed for the assumption that male gamers are more achievement-oriented and females are more social-oriented because their motivations may vary depending on game genres. This study also found unexpected effects of stereotype threat and lift. Future research should further explore how to implement stereotype activation effectively to promote gender equality in gaming. Notably, this study only recruited participants from China due to the restrictions of recruitment channels. Future researchers are highly recommended to examine whether there are cross-cultural differences in the findings of this study.
Burdens and trends of blindness and vision loss among those aged 55 years and older: A systematic analysis for the Global Burden of Disease Study 2019
Authors: Zhao Congling , Ding Qiang , Yang Zhikuan 
Published: March 2024

Purpose To systematically analysis the burden and trends of blindness and vision loss for those aged ≥55 years from 1990 to 2019 and to predict trends over the next few years. Methods The data were extracted from the Global Burden of Disease Study (GBD) 2019. Trends from 1990 to 2019 were calculated using average annual percentage change (AAPC) by joinpoint regression analysis. Bayesian age-period-cohort (BAPC) models were used to predict future trends. Results In 2019, the global prevalence of blindness and vision loss was 471.1 million with 15.9 million disability-adjusted life-years (DALYs) for those aged ≥55 years. These numbers will reach 640.3 million cases and 18.9 million DALYs in 2030. The prevalence rate (per 100,000 population) increased from 32,137.8 (95% uncertainty interval [UI], 26,307.9–39,246.3) in 1990 to 33,509 (95% UI, 27,435.5–40,996.2) in 2019, with an AAPC of 0.143 (95% confidence interval [CI], 0.125–0.161; P < 0.001). The DALY rate (per 100,000 population) decreased from 632.9 (95% UI, 447.7–870.9) in 1990 to 579.3 (95% UI, 405.2–803.4) in 2019, with an AAPC of −0.293 (95% CI, −0.323–[-]0.263). Although the prevalence rates of cataracts, age-related macular degeneration, glaucoma, and near vision loss showed increasing trends from 1990 to 2019, the DALY rates indicated a downward trend for all blindness-causing diseases. The burden is heavier for women and in low Socio-demographic Index (SDI) regions. Conclusions Despite a decline from 2001 to 2019, the burden of blindness and vision loss, measured by prevalence and DALYs, continues to rise after adjusting for population growth and aging. Blindness and vision loss are significant public health burdens, especially for women and in low-SDI regions.