bluuebunny/crossref_metadata_2025_split huggingface dataset:
Time Series Decomposition of Land Surface Temperature for Long-Term Trend Forecasting and Impact on Nesting Sea Turtle Habitats in the Arabian Gulf
Authors: Perera Sachi , Maneja Rommel H. , Allali Mohamed , Rakovski Cyril , Linstead Erik , Struppa Daniele , Qasem Ali , El-Askary Hesham 
Published: September 2024

Abstract
Improving land surface temperature (LST) modeling is vital for mitigating climate change effects on various ecosystems and marine habitats such as important sea turtle habitats. Over the past decade, extreme temperatures have likely significantly affected nesting sea turtle habitats in the Arabian Gulf, with predominantly female hatchlings creating an imbalance in the sex ratio. Such shifts have profound implications for these habitats’ long-term survival and conservation management. This study leverages statistical machine learning models to measure ongoing temporal variations in LST. We break down the LST time series into trend, seasonal, and noise components using classical decomposition methods like X11, Seasonal Extraction in autogressive integrated moving average (ARIMA) Time Series (SEATS), and the seasonal and trend decomposition using local regression (Loess) (STL) approach. The long-term trends in LST data are driven by climate change rather than seasonal fluctuations. We employed neural network autoregression (NNAR), bagged error, trend, and seasonal (BaggedETS), exponential smoothing models, and the STL method to project future LST values. We also explored advanced forecasting models like dynamic harmonic regression; trigonometric seasonality, Box–Cox transformation, autoregressive moving average (ARMA) errors, and trend and seasonal components (TBATS); and seasonal autoregressive integrated moving average (SARIMA) for comparative performance analysis. Extended warm periods were identified for Abu Ali Island between 2017 and 2018 through several decomposition methods, likely linked to the 2015/16 El Niño event. We also conducted a marine heatwave (MHW) analysis from 2010 to 2020, establishing a pronounced impact of the 2015/16 El Niño on the Arabian Gulf. In nesting beach environments with high LST, marine heatwaves could have a significant impact on sea turtle populations without human intervention such as artificially cooling the nest temperature. The SARIMA model showed higher forecasting precision for in situ weather data, while the NNAR model demonstrated superior performance with remotely sensed data.
A survey of the psychiatric care provided for children and young people in general hospital settings in New Zealand
Authors: Hopkins John , Skudder Ella , Sundram Frederick , Vroegop Paul 
Published: September 2024

Objective The aim of this study was to conduct an in-depth survey of psychiatric care provided for children and young people (CYP) in general hospital settings in New Zealand (NZ). Method As part of a larger national survey of Consultation-Liaison Psychiatry (CLP) services across the lifespan, a 44-question survey was emailed to clinicians who were involved in providing psychiatric care for CYP at each of the 24 public general hospitals with specialist paediatric services. Results Responses were obtained from all four paediatric CLP teams that cover the four specialist children’s hospitals, and 16 of the 23 child and adolescent community mental health services that provide hospital inreach. These services were found to be under-resourced, utilise variable service models, and rely heavily on inreach. Conclusion Escalating presentation rates for young people and increasingly complex paediatric presentations pose major challenges for the psychiatric care of CYP in general hospital settings. Utilising international staffing standards and service models, proposals are made to evolve more consistent and effective paediatric CLP services in NZ.
A Multi-Center Retrospective Database Evaluation of Pediatric Subjects Diagnosed With Methemoglobinemia
Authors: Sinha Neha , Lichak Brooke , Thomas Neal J , Krawiec Conrad 
Published: September 2024

Background: Methemoglobinemia requires early identification and treatment, but limited knowledge exists regarding the current therapeutic approach taken by clinicians as well as the outcomes that occur in children. Objectives: To determine the current prevalence of this rare disease in the pediatric population, evaluate the impact of methemoglobin and functional hemoglobin levels, and assess how this disease is approached by clinicians. We hypothesize that methemoglobinemia prevalence is low and more methylene blue use would be observed in subjects with functional hemoglobin levels less than 7 g/dL. Design: This was a retrospective observational cohort study utilizing deidentified TriNetX® electronic health record (EHR) data. Methods: Using a multicenter EHR database, we evaluated subjective characteristics, diagnostic, laboratory results, medication, and procedural codes. Results: Ninety-eight children (mean age 5.3 ± 5.3 years) from 53 healthcare organizations were included. Methemoglobinemia prevalence was 0.0015% with an overall 30-day mortality of 6.1%. Subjects with methemoglobin percentages greater than 20% had a higher frequency of methylene blue administration (70.6% versus 24.7%, P = .0005). Critical care service requirements and methylene blue administration were similar in the subjects with functional hemoglobin less than 7 g/dL and more than 7 g/dL groups. Overall, 13 (13.2%) subjects underwent glucose-6-phosphate dehydrogenase deficiency (G6PD) testing. Conclusion: In our study, we found methemoglobinemia prevalence in children is low, there is a low frequency of G6PD testing despite methylene blue hemolysis risk, and subjects appeared to be treated similarly despite a low functional hemoglobin. These findings highlight the continued critical nature of this disease and may highlight opportunities for education aimed at improving care in children diagnosed with methemoglobinemia, particularly related to G6PD testing.
Sex, gender, and stroke recovery: Functional limitations and inpatient care needs in Canadian and European survivors
Authors: Zhou Yusheng , Gisinger Teresa , Lindner Simon D , Raparelli Valeria , Norris Colleen M , Kautzky-Willer Alexandra , Pilote Louise 
Published: September 2024

Background: Stroke is a leading cause of long-term disability among survivors. Past literature already investigated the biological sex differences in stroke outcome; still limited work on gender differences is published. Therefore, the study aimed at investigating whether biological sex and sociocultural gender of survivors play a role as determinants of disability and quality of life among stroke survivors across Europe and Canada. Methods: Data were gathered from the European Health Information Survey (EHIS, n = 316,333) and Canadian Community Health Survey (CCHS, n = 127,462) data sets. Main outcomes of interest were disability, assessed through evaluating the impairment of Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (iADL), and inpatient care needs, such as hospitalization or institutionalization. Multivariate logistic regression models were utilized to identify factors independently associated with outcomes. Federated analysis was conducted for cross-country comparisons. Data were adjusted for the country-specific Gender Inequality Index (GII), with higher score corresponding to more gender inequality toward females. Results: Female survivors showed greater impairments in iADL (odds ratio [OR] = 1.73, 95% confidence interval [CI]:1.53–1.96) and ADL (OR = 1.25, 95% CI: 1.09–1.44), without a corresponding increase in inpatient care needs. Socioeconomic factors such as marital status and income level were significant predictors of disability, with low income and being single/divorced associated with higher risks. The impact of sex was more pronounced in countries with higher GII, indicating the influence of gender inequality on stroke outcomes. Interpretation: The findings highlight the significant impact of biological sex and gender-related social determinants on post stroke disability, with female sex and unfavorable socioeconomic conditions being associated with worse outcomes.
Association of aspirin use with risk of intracerebral hemorrhage in patients without history of stroke or transient ischemic attack in the UK Biobank
Authors: Wang Zijie , Liu Xueyun , Zhang Shanyu , Hu Xiao , Tian Yanghua , Li Qi 
Published: September 2024

Background: The association between aspirin use and the risk of intracerebral hemorrhage (ICH) among individuals without previous stroke events is inconclusive. Aim: We investigated the association between regular aspirin use and ICH risk in middle-aged and older adults without previous stroke or transient ischemic attack (TIA). Methods: This prospective population-based study included participants older than 40 years with no history of stroke or TIA from the UK Biobank. The main exposure was regular aspirin use. Cox regression analyses and propensity score matching analyses estimated the hazard ratios (HRs) for aspirin use for incident fatal and non-fatal ICH. We conducted pre-specified subgroup analyses for selecting individuals at high risk of ICH when using aspirin. Multiple sensitivity analyses were performed to test the robustness of our results. Results: A total of 449,325 participants were included into final analyses (median (IQR) age 58 (50–63) years, 54.6% females), of whom 58,045 reported aspirin use. During a median follow-up of 12.75 (IQR: 12.03–13.47) years, 1557 (0.3%) incident ICH cases were identified, of which 399 (25.6%) were fatal. Aspirin was not associated with increased risk of overall (hazard ratio (HR): 1.11, 95% confidence interval (CI): 0.95–1.27, P = 0.188), fatal (HR: 1.03, 95% CI: 0.78–1.36, P = 0.846) and non-fatal (HR: 1.12, 95% CI: 0.95–1.33, P = 0.186) ICH. Propensity score matching analysis showed similar results. Subgroup analysis indicated that aspirin use in individuals older than 65 years or with concurrent anticoagulant use was correlated with increased risk of ICH. Conclusion: In this large cohort study of middle-aged and older adults without stroke or TIA events, there was no significant association between aspirin use and ICH risk in the real-world setting. However, it is possible that aspirin use in those aged over 65 years and concurrent anticoagulant treatment may increase the risk of ICH.
Cost-effectiveness analysis of durvalumab plus tremelimumab as first-line therapy in patients with unresectable hepatocellular carcinoma
Authors: Liao Weiting , Xu Huiqiong , Hutton David , Wu Qiuji , Yang Yang , Feng Mingyang , Lei Wanting , Bai Liangliang , Li Junying , Li Qiu 
Published: September 2024

Background:The HIMALAYA trial found that durvalumab plus tremelimumab significantly prolonged progression-free survival and overall survival in patients with unresectable hepatocellular carcinoma (HCC) compared with sorafenib.Objective:This study aimed to investigate the cost-effectiveness of durvalumab plus tremelimumab compared with sorafenib in the first-line HCC setting.Design:A Markov model-based cost-effectiveness analysis.Methods:We created a Markov model to compare healthcare costs and clinical outcomes of HCC patients treated with durvalumab plus tremelimumab in the first-line setting compared with sorafenib. We estimated transition probabilities from randomized trials. Lifetime direct healthcare costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios were calculated for first-line durvalumab plus tremelimumab compared with sorafenib from a US payer’s perspective.Results:In the base case, first-line durvalumab plus tremelimumab was associated with an improvement of 0.29 QALYs compared with sorafenib. While both treatment strategies were associated with considerable lifetime expenditures, first-line durvalumab plus tremelimumab was less expensive than sorafenib ($188,405 vs $218,584). The incremental net monetary benefit for durvalumab plus tremelimumab versus sorafenib was $72,762 (valuing QALYs at $150,000 each). The results of durvalumab plus tremelimumab were better in terms of costs and health outcomes in patients with HBV-related HCC and high alpha-fetoprotein levels.Conclusion:First-line durvalumab plus tremelimumab was estimated to be dominant for the treatment of unresectable HCC compared with sorafenib from a US payer’s perspective.
Experimental study on the characteristic values of partial compression perpendicular to the grain of hardwood with edge distance parallel and perpendicular to the grain
Authors: Suesada Hiroto , Miyamoto Kohta 
Published: September 2024

AbstractSome hardwoods have a higher density and superior structural performance than softwoods, which are generally used as construction materials in buildings. Therefore, the characteristics of hardwoods are advantageous in their use for wooden joints. However, the effects of the dimensions of hardwood specimens and wood species on the partial compression performance perpendicular to the grain are unclear. In this study, we conducted partial compression tests perpendicular to the grain of hardwoods to clarify the effects of the edge distance and wood species on the characteristic values. The relationships between the partial compression performance perpendicular to the grain and the edge distance perpendicular to the grain of hardwoods were similar to those of softwoods. A significant correlation was observed between the density and the characteristic values of partial compression perpendicular to the grain. There were differences in the fracture morphologies and stress–strain curves between diffuse and ring-porous woods. However, factors other than density and whether the wood is diffuse- or ring-porous are responsible for the differences in the effect of the edge distance on the characteristic values between wood species.
Physical activity and the risk of developing 8 age-related diseases: epidemiological and Mendelian randomization studies
Authors: Zhao Jie , Ke Zezhi , Huang Rihua , Wen Xiuyun , Liu Wenbin , Wang Suisui , Zhang Xu , Zhuang Xiaodong , Pan Litao , Liao Lizhen 
Published: September 2024

Abstract
Background
We aimed to characterize the associations between physical activity levels and the risk of developing age-related diseases in the Coronary Artery Risk Development in Young Adults (CARDIA) study and used Mendelian randomization (MR) to assess whether there are causal relationships between physical activity levels and the risk of developing 8 age-related diseases (coronary atherosclerosis, ischemic heart disease, angina, Alzheimer’s disease, hypertension, type 2 diabetes, hyperlipidemia, and venous thromboembolism).

Methods
Based on the data available in the CARDIA, we obtained data related to five disease states: coronary heart disease, hypertension, diabetes, hyperlipidemia, and venous thromboembolism. Binary logistic regression analysis estimated the multivariable-adjusted associations between different physical activity statuses and diseases. For the MR study, we used summary-level data from a recently published genome-wide association study on physical activity (including vigorous physical activity and accelerometer-based physical activity) conducted with participants from the UK Biobank study. We selected the above 8 age-related diseases as our outcomes.

Results
In the CARDIA-based analysis, the risk of developing coronary heart disease [OR (95% CI): 0.562 (0.397–0.795)], hypertension [OR (95% CI): 0.703 (0.601–0.821)], diabetes [OR (95% CI): 0.783 (0.620–0.988)], and hyperlipidemia [OR (95% CI): 0.792 (0.662–0.949)] was negatively related to physical activity status when participants achieved the physical activity target. Our MR results support a negative causal association between genetically determined vigorous physical activity levels and the risk of developing 3 age-related diseases, namely, angina, hypertension and type 2 diabetes. Moreover, our results also support a negative causal association between genetically determined accelerometer-based physical activity levels and the risk of developing angina.

Conclusions
Promotion of physical activity is likely to prevent specific age-related diseases.
Route choice modelling for an urban rail transit network: past, recent progress and future prospects
Authors: Tian Yihan , Zhu Wei , Song Fangqing 
Published: September 2024

AbstractRoute choice modelling is a critical aspect of analysing urban rail transit (URT) networks and provides a foundation for URT planning and operation. Unlike in a free-flow road network, the consideration set for route choice decisions in a URT network does not depend purely on the physical connectivity of the network and decision makers’characteristics. Instead, it is also contingent on the train schedules. This paper delves into the evolution of research on route choices in URT networks, encompassing both probabilistic route choice modelling derived from utility maximisation theory and logit curve with physical connectivity, and retrospective route choice modelling based on travel time chaining along with comprehensive transport data. The former is noted for its conciseness, simplicity, and interpretability in real-world applications, even though the methodologies may not be cutting-edge. The latter incorporates dynamic temporal information to understand activities of passengers in URT networks. Enhancements of each genres are also examined. However, these improvements might not fully address the inherent limitations of models relating to a dependency on the quality of parameters, experience of experts, and calculation efficiency. In addition, novel research adopting contemporary data mining techniques instead of classical models are introduced. The historical development of research on URT network route choices underscores the importance of amalgamating independent information networks such as surveillance networks and social networks to establish a comprehensive multi-dimensional network. Such an approach integrates passenger attributes across networks, offering a multi-dimensional understanding of passengers’ route choice behaviours. Our review work aims to present not only a systematic conceptual framework for route choices in URT networks but also a novel path for transport researchers and practitioners to decipher the travel behaviours of passengers.
Leveraging gene correlations in single cell transcriptomic data
Authors: Silkwood Kai , Dollinger Emmanuel , Gervin Joshua , Atwood Scott , Nie Qing , Lander Arthur D. 
Published: September 2024

AbstractBackgroundMany approaches have been developed to overcome technical noise in single cell RNA-sequencing (scRNAseq). As researchers dig deeper into data—looking for rare cell types, subtleties of cell states, and details of gene regulatory networks—there is a growing need for algorithms with controllable accuracy and fewer ad hoc parameters and thresholds. Impeding this goal is the fact that an appropriate null distribution for scRNAseq cannot simply be extracted from data in which ground truth about biological variation is unknown (i.e., usually).ResultsWe approach this problem analytically, assuming that scRNAseq data reflect only cell heterogeneity (what we seek to characterize), transcriptional noise (temporal fluctuations randomly distributed across cells), and sampling error (i.e., Poisson noise). We analyze scRNAseq data without normalization—a step that skews distributions, particularly for sparse data—and calculatepvalues associated with key statistics. We develop an improved method for selecting features for cell clustering and identifying gene–gene correlations, both positive and negative. Using simulated data, we show that this method, which we call BigSur (Basic Informatics and Gene Statistics from Unnormalized Reads), captures even weak yet significant correlation structures in scRNAseq data. Applying BigSur to data from a clonal human melanoma cell line, we identify thousands of correlations that, when clustered without supervision into gene communities, align with known cellular components and biological processes, and highlight potentially novel cell biological relationships.ConclusionsNew insights into functionally relevant gene regulatory networks can be obtained using a statistically grounded approach to the identification of gene–gene correlations.
Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks
Authors: Lu Yuan , Keeley Ellen C. , Barrette Eric , Cooper-DeHoff Rhonda M. , Dhruva Sanket S. , Gaffney Jenny , Gamble Ginger , Handke Bonnie , Huang Chenxi , Krumholz Harlan M. , McDonough Caitrin W. , Schulz Wade , Shaw Kathryn , Smith Myra , Woodard Jennifer , Young Patrick , Ervin Keondae , Ross Joseph S. 
Published: September 2024

Abstract
Background
Improving hypertension control is a public health priority. However, consistent identification of uncontrolled hypertension using computable definitions in electronic health records (EHR) across health systems remains uncertain.

Methods
In this retrospective cohort study, we applied two computable definitions to the EHR data to identify patients with controlled and uncontrolled hypertension and to evaluate differences in characteristics, treatment, and clinical outcomes between these patient populations. We included adult patients (≥ 18 years) with hypertension (based on either ICD-10 codes of hypertension or two elevated blood pressure [BP] measurements) receiving ambulatory care within Yale-New Haven Health System (YNHHS; a large US health system) and OneFlorida Clinical Research Consortium (OneFlorida; a Clinical Research Network comprised of 16 health systems) between October 2015 and December 2018. We identified patients with controlled and uncontrolled hypertension based on either a single BP measurement from a randomly selected visit or all BP measurements recorded between hypertension identification and the randomly selected visit).

Results
Overall, 253,207 and 182,827 adults at YNHHS and OneFlorida were identified as having hypertension. Of these patients, 83.1% at YNHHS and 76.8% at OneFlorida were identified using ICD-10-CM codes, whereas 16.9% and 23.2%, respectively, were identified using elevated BP measurements (≥ 140/90 mmHg). A total of 24.1% of patients at YNHHS and 21.6% at OneFlorida had both diagnosis code for hypertension and elevated blood pressure measurements. Uncontrolled hypertension was observed among 32.5% and 43.7% of patients at YNHHS and OneFlorida, respectively. Uncontrolled hypertension was disproportionately higher among Black patients when compared with White patients (38.9% versus 31.5% in YNHHS; p < 0.001; 49.7% versus 41.2% in OneFlorida; p < 0.001). Medication prescription for hypertension management was more common in patients with uncontrolled hypertension when compared with those with controlled hypertension (overall treatment rate: 39.3% versus 37.3% in YNHHS; p = 0.04; 42.2% versus 34.8% in OneFlorida; p < 0.001). Patients with controlled and uncontrolled hypertension had similar incidence rates of deaths, CVD events, and healthcare visits at 3, 6, 12, and 24 months. The two computable definitions generated consistent results.

Conclusions
While the current EHR systems are not fully optimized for disease surveillance and stratification, our findings illustrate the potential of leveraging EHR data to conduct digital population surveillance in the realm of hypertension management.