bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancing adolescent bedtime by motivational interviewing and text message: a randomized controlled trial
Authors: Chan Ngan Yin , Chen Si‐Jing , Ngan Cho Lam , Li Shirley Xin , Zhang Jihui , Lam Siu Ping , Chan Joey Wing Yan , Yu Mandy Wai Man , Chan Kate Ching Ching , Li Albert Martin , Wing Yun Kwok 
Published: January 2025

BackgroundSleep deprivation is a prevalent problem among adolescents which is closely related to various adverse outcomes. The lack of efficacy of current sleep education programs among adolescents argues for the need to refine the content and format of the intervention. This study aimed to evaluate the effectiveness of a group‐based sleep intervention using motivational interviewing plus text reminders in changing adolescent sleep habits.MethodsThis study is a randomized controlled trial comparing motivational group‐based sleep intervention with nonactive control group. The primary outcomes were the sleep–wake patterns measured by both sleep diary and actigraphy at postintervention, 3 and 6 months after the intervention. The trial was registered with the Clinical Trial Registry (NCT03614572).ResultsA total of 203 adolescents with school day sleep duration of <7 hr (mean age: 15.9 ± 1.0 years; males: 39.9%) were included in the final analysis. Sleep diary and actigraphy data both showed that adolescents in the intervention group had earlier weekday bedtime at postintervention (sleep diary: estimated mean difference: 33.55 min, p = .002; actigraphy: 33.02 min, p = .009) and later wake‐up time at 3‐month follow‐up compared to the control group (sleep diary: −28.85 min, p = .003; actigraphy: −30.03 min, p = .01), and the changes in diary measured weekday bedtime were sustained up to 6‐month follow‐up. In addition, adolescents in the intervention group had longer sleep diary reported weekday sleep duration at 3‐ (35.26 min, p = .003) and 6‐month follow‐up (28.32 min, p = .03) than the controls. Adolescents in the intervention group also reported improved daytime alertness postintervention, which was maintained at the 6‐month follow‐up.ConclusionsThe motivational group‐based sleep intervention is effective in advancing bedtime with improved sleep duration and daytime alertness in sleep‐deprived adolescents.
How Does State‐Controlling Shareholders Affect Corporate Tax Avoidance?
Authors: Lin Huiting , He Yurun , Wang Maolin , Zhang Jiazheng 
Published: January 2025

ABSTRACTThis paper examines the influence of state‐controlling shareholders on the tax avoidance behavior of listed Chinese state‐owned enterprises (CSOEs). Using a data set comprising 14,645 firm‐year observations from 2003 to 2022, we find that subsidiaries significantly reduce tax avoidance when state‐controlling shareholders are required to remit gains to the government under the State‐owned Capital Gains Handover System. Following the reform, these subsidiaries also experience declines in cash holdings and financial performance. We attribute these outcomes to increased shifting pressure from controlling shareholders and motivation to meet performance evaluations. Additional analyses reveal that this effect is more pronounced in firms with lower separation between ownership and control, weaker financing constraints, higher operational risks, and stronger internal controls. Furthermore, we observe that most cash flows are diverted through connected transactions. Finally, our findings indicate that subsidiaries that fail to adjust their aggressive tax practices after the reform face declines in firm value. By highlighting the pivotal role of state‐controlling shareholders in shaping corporate tax strategies, this study contributes to the literature on state ownership, corporate governance, and tax avoidance.
CircZmMED16 delays plant flowering by negatively regulating starch content through its binding to ZmAPS1
Authors: Tang Xin , Feng Xiaoju , Xu Yang , Yang Bo , Wang Yi , Zhou Yang , Wang Qi , Mao Yan , Xie Wubing , Liu Tianhong , Tang Qi , Liu Yaxi , Wang Yao , Xu Jie , Lu Yanli 
Published: January 2025

ABSTRACTCircular RNAs (circRNAs), a type of head‐to‐tail closed RNA molecules, have been implicated in various aspects of plant development and stress responses through transcriptome sequencing; however, the precise functional roles of circRNAs in plants remain poorly understood. In this study, we identified a highly expressed circular RNA, circZmMED16, derived from exon 8 of the mediator complex subunit 16 (ZmMED16) across different maize (Zea mays L.) inbred lines using circRNA‐seq analysis. This circRNA is predominantly expressed in maize tassels and functions in the cytoplasm. Overexpression of circZmMED16 resulted in increased expression of ZmMED16/AtMED16 and delayed flowering in both maize and Arabidopsis thaliana, compared with that in wild‐type plants. In contrast, overexpression of the parent gene ZmMED16 did not alter the flowering time of transgenic plants in Arabidopsis, suggesting that circZmMED16 plays a specific role in regulating flowering, distinct from that of linear ZmMED16. To further understand the mechanisms underlying the regulation of flowering time by circZmMED16, we performed RNA pull‐down, dual‐luciferase, RNA interference (RNAi), and ribonuclease protection assays (RPA). These results indicate that circZmMED16 interacts with small subunit 1 of ADP‐glucose pyrophosphorylase (APS1) mRNA in both maize and Arabidopsis. The knockdown of circZmMED16 increased the expression of ZmAPS1, whereas the overexpression of circZmMED16 led to the downregulation of ZmAPS1 RNA and protein. By affecting ZmAPS1 expression, circZmMED16 reduced ADP‐glucose pyrophosphorylase (AGPase) activity and led to delayed flowering. These results revealed a novel regulatory mechanism for circRNAs in flowering time and shed light on their functional and regulatory roles in plants.
Forecasting Solar Energy: Leveraging Artificial Intelligence and Machine Learning for Sustainable Energy Solutions
Authors: Saadati Taraneh , Barutcu Burak 
Published: January 2025

ABSTRACTIntegrating solar energy into power grids is essential for advancing a low‐carbon economy, but accurate forecasting remains challenging due to solar output variability. This study comprehensively reviews solar energy forecasting models, focusing on how Artificial Intelligence (AI) and Machine Learning (ML) enhance forecast accuracy. It examines the current landscape of solar forecasting, identifies limitations in existing models, and underscores the need for more adaptable approaches. The primary goals are to analyze the evolution of AI/ML‐based models, assess their strengths and weaknesses, and propose a structured methodology for selecting and implementing AI/ML models tailored to solar power forecasting. Through comparative analysis, the study evaluates individual and hybrid models across different forecasting scenarios, identifying under‐explored research areas. The findings indicate significant improvements in prediction accuracy through AI/ML advancements, aiding grid management and supporting the low‐carbon transition. Ensemble methods, deep learning techniques, and hybrid models show great promise in enhancing reliability. Combining diverse forecasting approaches with advanced AI/ML techniques results in more reliable solar forecasts. The study suggests that improving model accuracy through these integrated methods offers substantial opportunities for further research, contributing to global sustainability efforts, particularly UN SDGs 7 and 13, and promoting economic growth with minimal environmental impact.
Larger Perfusion Mismatch Volume Is Associated With Longer Hospital Length of Stay in Medium Vessel Occlusion Stroke
Authors: Mei Janet , Salim Hamza Adel , Lakhani Dhairya A. , Balar Aneri , Vagal Vaibhav , Koneru Manisha , Wolman Dylan , Xu Risheng , Urrutia Victor , Marsh Elisabeth Breese , Pulli Benjamin , Hoseinyazdi Meisam , Luna Licia , Deng Francis , Hyson Nathan Z. , Bahouth Mona , Dmytriw Adam A. , Guenego Adrien , Albers Gregory W , Lu Hanzhang , Nael Kambiz , Hillis Argye E. , Llinas Raf , Wintermark Max , Faizy Tobias D. , Heit Jeremy J. , Yedavalli Vivek 
Published: January 2025

ABSTRACTBackground and purposeProlonged length of stay (LOS) following a stroke is associated with unfavorable clinical outcomes. Factors predicting LOS in medium vessel occlusion (MeVO), impacting up to 40% of acute ischemic stroke (AIS) cases, remain underexplored. This study aims to investigate the predictors of LOS in AIS‐MeVO.MethodsWe conducted a retrospective analysis of prospectively maintained stroke databases, comprising AIS cases with MeVO in the anterior circulation, assessed by adequate CT perfusion (CTP). Baseline and clinical data were obtained from electronic health records. Alberta Stroke Program Early CT Scores (ASPECTS) were calculated from non‐contrast head CT. The perfusion mismatch volume (time to maximum > 6 s minus relative cerebral blood flow <30%) volume was reported from CTP. Multiple regression was employed to examine the relationship between baseline parameters and hospital LOS.ResultsA total of 133 patients (median age 71 [interquartile range 63–80] years, 59.4% females) were included in the study cohort. The perfusion mismatch volume significantly positively correlated with LOS (r = 0.264, p = 0.004). After adjusting for age, sex, hypertension, diabetes, prior stroke or transient ischemic attack, admission NIHSS, ASPECTS, Tan score, intravenous thrombolysis, mechanical thrombectomy (MT), and hemorrhagic transformation, a larger mismatch volume remained independently associated with longer hospital stays (β = 0.209, 95% confidence interval [CI] 0.006–0.412, p = 0.045). Additional significant determinants of longer hospital stay included admission NIHSS (β = 0.250, 95% CI: 0.060–0.440, p = 0.010) and MT (β = 0.208, 95% CI: 0.006–0.410, p = 0.044). Among patients who underwent MT (n = 83), multiple regression analysis incorporating both perfusion mismatch volume and admission NIHSS revealed that perfusion mismatch volume remained independently associated with LOS (β = 0.248, 95% CI: 0.019–0.471, p = 0.033), while admission NIHSS did not retain significance (β = 0.208, 95% CI: 0.019–0.433, p = 0.071).ConclusionsIn our cohort of AIS patients with MeVO in the anterior circulation, and particularly in those who underwent MT, the perfusion mismatch volume serves as an independent predictor of LOS. These findings offer critical valuable insights in clinical assessments and decision‐making protocols of MT in AIS‐MeVO.
Pimobendan oral solution is bioequivalent to pimobendan chewable tablets in beagle dogs
Authors: Kuhlmann Olaf , Markert Michael 
Published: January 2025

AbstractBackgroundMyxomatous mitral valve disease (MMVD) is frequently diagnosed in small breed dogs. Pimobendan oral solution has been developed to improve dosing accuracy in small and toy breed dogs.Hypothesis/ObjectivesDemonstrate bioequivalence of pimobendan oral solution with pimobendan chewable tablets using a pharmacokinetic and a pharmacodynamic study in healthy purpose bred dogs.AnimalsIn the pharmacokinetic study, 24 beagle dogs were dosed in a 4‐period crossover design. In the pharmacodynamic study, 4 mongrel and 2 beagle dogs implanted with telemetry probes were included in a 2‐way crossover design.MethodsBoth studies were designed as prospective, randomized crossover trials. Dogs were given single doses of 5 mg/dog of either formulation followed by serial blood sampling for determination of pimobendan and O‐desmethyl‐pimobendan (ODMP; main metabolite). Because of high variability in the pharmacokinetics, the reference scaled average bioequivalence (RSABE) method was applied. For the pharmacodynamic study, animals were dosed with 0.25 mg/kg of either formulation. Baseline corrected left ventricular maximal pressure (LVdP/dtmax) and heart rate were recorded continuously and compared with a predefined bioequivalence threshold.ResultsPimobendan was verified as a high variability drug. Based on the RSABE method, both formulations were bioequivalent. Pharmacodynamic results supported bioequivalence.Conclusions and Clinical ImportanceThe novel oral solution of pimobendan was found to be bioequivalent, both applying the Food and Drug Administration (FDA) supported RSABE method and based on pharmacodynamic data. Thus, the novel liquid formulation can be used to facilitate accurate dosing of small and toy breed dogs.
Effect of the Duty‐Free and Quota‐Free Market Access Schemes for Least Developed Countries on Income Inequality and Poverty
Authors: Gnangnon Sèna Kimm 
Published: January 2025

ABSTRACTThis paper has examined whether the Duty‐Free and Quota‐Free (DFQF) market access preference schemes provided by Members of the World Trade Organization (WTO) to Least developed countries (LDCs) have been instrumental in reducing income inequality and poverty in these countries. The analysis has used the entropy balancing method over an unbalanced panel dataset of 36 LDCs (treatment group) and 19 countries in the control group, with data spanning the period 1997–2018. The feasible generalized least squares, the within fixed effects and the Seemingly Unrelated Regression estimators have been employed to address empirically the question. The analysis has established that the DFQF schemes have genuinely been instrumental in reducing income inequality and poverty in LDCs, including to a greater extent in non‐African LDCs than in African LDCs. These findings confirm the importance of the DFQF schemes for LDCs.
Collections overlooked: The Chinese ethnic minority collections in an Asian Cold War context at the Department of Anthropology, the Chinese University of Hong Kong
Authors: Ao Chon Hei 
Published: January 2025

AbstractThis article examines the geopolitical influences on the making of the Chinese ethnic minority ethnographic collections at the Department of Anthropology (DOA), the Chinese University of Hong Kong (CUHK) during the Cold War period. These overlooked collections originated from two Taiwanese department founders, Chiao Chien, and Hsieh Jiann, who used Hong Kong as a node to conduct Chinese ethnic minority studies in the 1980s. After analyzing the DOA's Chinese ethnic minority collections, archives, and virtual museum data, and conducting semi‐structured interviews with DOA members, the study postulates why the collections have been overlooked and discloses the collections' association with the Cold War. This article contributes to understanding the origin of an East Asian anthropology department with its understudied collections in an Asian Cold War context and offers a paradigm of “anthropology of anthropology departments” to examine the departmental history from a collections‐based perspective.
Auditing Cause of Death Reporting to Australia and New Zealand's Dialysis and Transplant Registry: A Retrospective Cohort Study
Authors: Tun Ismail Alia N. , Chavan Nehal , Au Eric H. K. , So Sarah 
Published: January 2025

ABSTRACTAimNational data registries provide a valuable source of data for epidemiological research but may be subject to inaccuracies. Whilst studies have compared agreement between cause of death (COD) data from Australia and New Zealand's dialysis and transplant registry (ANZDATA) to other databases, no studies have manually compared agreement with electronic medical records (EMR). This study aimed to assess the agreement between COD for dialysis patients in the Western Sydney renal service according to ANZDATA and EMR.MethodsWe conducted a retrospective cohort study on dialysis patients from the Western Renal Service who died between January 1, 2016 and July 31, 2022, inclusive. We matched ANZDATA patient records to our service's EMR, extracted data on COD from EMR and coded COD according to ANZDATA's categorisation system. Agreement between COD from EMR and ANZDATA was assessed using kappa statistics.ResultsThere were 709 deaths in the study period. 449 (63.3%) were male and 260 (36.7%) were female. Of the 539 patients with available records, the most common COD categories were cardiovascular (201, 37%) and infection (154, 29%). There was poor agreement between individual COD from EMR and ANZDATA (kappa of 0.39). However, this improved when comparing broader COD categories (kappa of 0.53). Subgroup analysis showed no difference in agreement between males and females or patients who died between 2016–2018 and 2019–2022.ConclusionThere is poor agreement between ANZDATA and EMR for individual COD. However, agreement improved to moderate using broader categories of COD, suggesting higher accuracy when utilising registry COD data for epidemiological analysis.
Association between 24‐hour movement behaviors and adiposity in children and adolescents: A compositional data meta‐analysis
Authors: Bourke Matthew , Harrison Zoe , Fortnum Kathryn , Thomas George , O'Flaherty Martin , Mulcahy Samantha K. , Gomersall Sjaan R. , Alsop Tahlia , Trost Stewart G. , Koplin Jennifer J. , Bruijns Brianne A. , Phillips Sophie M. , Vanderloo Leigh M. , Tucker Patricia , Hesketh Kylie D. , Kwan Matthew Y. W. , Cairney John 
Published: January 2025

SummaryPurposeTo quantitatively synthesize published evidence on the association between 24‐hour movement behavior composition with adiposity in children and adolescents aged 3–18 years.MethodsSystematic literature searches were conducted in five electronic databases to identify papers published between January 2015 and January 2024. A machine learning‐assisted systematic review was conducted to identify studies applying compositional data analysis to examine the association between 24‐hour movement behaviors and adiposity in children and youth. Random effect meta‐analyses were estimated to examine the relative association between each component of the 24‐hour movement behavior composition and body mass index z‐score (zBMI), waist circumference, fat mass percentage, and fat mass index (FMI).ResultsA total of 16 studies reporting on 15,230 children and youth were included in the review. Most studies reported on zBMI (k = 14), followed by waist circumference (k = 5), body fat percentage (k = 3), and FMI (k = 2). Spending more time sleeping and engaged in moderate‐to‐vigorous intensity physical activity (MVPA) relative to other behaviors was associated with lower adiposity, while spending more time sedentary and engaged in light‐intensity physical activity was associated with higher adiposity.ConclusionThese results provide support for most recommendations of the 24‐hour movement behavior guidelines, including getting an adequate amount of sleep, limiting sedentary time, and engaging in MVPA, to improve adiposity outcomes.
A comparison of MRI and intraoperative measurements to determine interspinous spacer device size
Authors: Nelson Charles , Liao Chuanhong , Malik Tariq 
Published: January 2025

AbstractPurposeTo determine whether preoperative magnetic resonance imaging (MRI) can reliably determine intraoperative measurements in the Vertiflex Interspinous Spacer (ISS) procedure.MethodsPatients who underwent Vertiflex ISS with Lumbar Spinal Stenosis (LSS) and a preoperative MRI available in picture archiving and communication system (PACS) between January 2013 to February 2023 were identified retrospectively from the University of Chicago Medical Center Database. An experienced board‐certified pain specialist and well‐trained 2nd‐year medical student independently performed measurements of the interspinous space where Vertiflex ISSs of various sizes are inserted. MRI measurements were taken blinded to intraoperative measurement and ISS implant size used in the procedure. Pearson's correlation, paired T‐test, intraclass correlation coefficients (ICC), absolute agreement, and 2‐way random effects model were used to determine the relationships between MRI, intraoperative measurement, and ISS size.ResultsA total of 79 patients who underwent the Vertiflex ISS procedure were included in the study. Median Vertiflex ISS size was 10 mm (10–12), mean intraoperative measurement was 11.40 mm (±1.23), and mean MRI measurement was 11.24 mm (±1.44). Mean differences were not significant in intraoperative and MRI measurements (p = 0.271). Pearson's correlation between ISS size and intraoperative measurement was 0.807 (p < 0.001), representing the current best practice model. Pearson's correlation was 0.668 (p < 0.001) between MRI measurement and ISS size and 0.542 (p < 0.001) between MRI and intraoperative measurement. ICC showed good agreement and moderate reliability (0.698) between intraoperative and MRI measurements. Observer interrater ICC agreement of the MRI interspinous space measurement was 0.95 (p < 0.001).ConclusionsMeasuring interspinous space on MRI yielded, on average, a value smaller than the intraoperative measurement in Vertiflex ISS procedures, but the mean differences were not significant. Good agreement and moderate reliability were found between observer MRI and surgeon intraoperative measurements, suggesting MRI can evaluate the intraoperative space for the Vertiflex ISS procedure. Preoperative MRI measurement may help decrease complications by aiding in surgical decision‐making through providing a reference for intraoperative measurements. Further prospective study is necessary to determine if preoperative MRI measurement can predict and potentially replace the need for intraoperative measurement.
Phenotypic Plasticity of Grain Size‐Related Traits in Main‐Crop and Ratoon Rice
Authors: Zhao Qiong , Wang Tian , Pei Fa‐Jing , Chen Ying , Chang Xiao‐Yu , Mi Jia‐Ming , Zhang Yuan‐Ming 
Published: January 2025

ABSTRACTGrain size and weight of main‐crop are larger than those of ratoon rice, indicating that increasing grain size and weight of ratoon rice is an effective way to increase rice yield. Thus, grain length (GL), grain width (GW), and thousand‐grain weight (TGW) of main‐crop and ratoon rice in 159 indica rice accessions were used to associate with 2 017 495 SNP markers to detect quantitative trait nucleotides (QTNs) and their interactions with meteorological factors (QMIs), such as temperature and sunlight hours. Around 59 QMIs identified for temperature and 80 QMIs identified for sunlight hours, first, candidate gene LOC_Os02g40840 for GW and LOC_Os04g45480 for TGW were found to interact with temperature, while LOC_Os01g19970 for GL, LOC_Os02g39360 and LOC_Os07g05720 for GW, and LOC_Os07g49460 for TGW were found to interact with sunlight hours. Based on the results of previous studies, LOC_Os04g45480 exhibits high expression levels in the main‐crop under higher temperature, thereby enhancing the accumulation of the auxin receptor TIR1. TIR1, in turn, promotes starch accumulation in the endosperm, explaining why TGW is heavier in main‐crop than in ratoon rice. Finally, the analysis of best linear unbiased prediction values revealed 1 (LOC_Os08g10350) and 3 (LOC_Os02g50860, LOC_Os08g28680, and LOC_Os08g29160) candidate genes responsible for GW and TGW, respectively. In addition, we discussed the four available and six unavailable candidate genes in ratoon rice breeding. This study provides new method and genes for studying differences in grain size‐related traits between main‐crop and ratoon rice.