bluuebunny/crossref_metadata_2025_split huggingface dataset:
Public sector innovation outcome-driven sustainable development in Bangladesh: applying the dynamic autoregressive distributed lag simulations and Kernel-based regularised least square machine learning algorithm approaches
Authors: Islam Md. Monirul , Tareque Mohammad 
Published: December 2022

AbstractThis research investigates the role of public sector innovation outcomes, e.g. trademark innovation, information and communication technology (ICT), renewable energy, and governance, in the sustainable development of Bangladesh during 1980–2019. Utilising the dynamic autoregressive distributed lag (DARDL) simulation approach, this study divulges a favourable long-term influencing profile of public sector innovation outcomes, i.e. trademark innovation, ICT, and renewable energy on sustainable development, while governance has a heterogeneous impact. Besides, the findings from the DARDL simulations area plots display 10% counterfactual shocks to the public sector innovation outcomes on sustainable development. Furthermore, the Kernel-based regularised least square machine learning algorithm approach used in the study examines the marginal effects of the public sector innovation outcomes on sustainable development for robust findings. Therefore, the policy suggestions are solely concerned with the public sector’s adoption of more innovation dynamics through appropriate policy formulation.
Multi-UAV path planning based on IB-ABC with restricted planned arrival sequence
Authors: Tan Li , Shi Jiaqi , Gao Jing , Wang Haoyu , Zhang Hongtao , Zhang Yu 
Published: December 2022

AbstractPath planning is a key research issue in the field of unmanned aerial vehicle (UAV) applications. In practical applications, multi-objective path planning is usually required for multi-UAVs, so this paper proposes the improved balanced artificial bee colony (IB-ABC) algorithm to optimize multi-objective path planning. The algorithm adopts the ABC algorithm that emphasizes the global search capability, which is based on iterative feedback information. It uses single-element points, multi-element points, and iteration constraints to optimize the strategies of employed bees, follower bees, and scout bees, respectively. In terms of time and priority, simulation experiments prove that the IB-ABC algorithm can balance local and global search capabilities, accelerate the speed of convergence, and realize multi-UAV path planning in complex mountain environments.
Examining the effectiveness of bilingual subtitles for comprehension: An eye-tracking study
Authors: Wang Andi , Pellicer-Sánchez Ana 
Published: December 2022

AbstractThe present study examined the relative effectiveness of bilingual subtitles for L2 viewing comprehension, compared to other subtitling types. Learners’ allocation of attention to the image and subtitles/captions in different viewing conditions, as well as the relationship between attention and comprehension, were also investigated. A total of 112 Chinese learners of English watched an English documentary clip in one of four conditions (bilingual subtitles, captions, L1 subtitles, no subtitles) while their eye movements were recorded. The results revealed that bilingual subtitles were as beneficial as L1 subtitles for comprehension, which both outscored captions and no subtitles. Participants using bilingual subtitles spent significantly more time processing L1 than L2 lines. L1 lines in bilingual subtitles were processed significantly longer than in L1 subtitles, but L2 lines were processed significantly shorter than in captions. No significant relationship was found between the processing time and comprehension for either the L1 or L2 lines of bilingual subtitles.
Social experiences and youth psychopathology during the COVID-19 pandemic: A longitudinal study
Authors: Rodman Alexandra M. , Rosen Maya L. , Kasparek Steven W. , Mayes Makeda , Lengua Liliana , Meltzoff Andrew N. , McLaughlin Katie A. 
Published: December 2022

AbstractThe early stages of the COVID-19 pandemic and associated stay-at-home orders resulted in a stark reduction in daily social interactions for children and adolescents. Given that peer relationships are especially important during this developmental stage, it is crucial to understand the impact of the COVID-19 pandemic on social behavior and risk for psychopathology in children and adolescents. In a longitudinal sample (N=224) of children (7-10y) and adolescents (13-15y) assessed at three strategic time points (before the pandemic, during the initial stay-at-home order period, and six months later after the initial stay-at-home order period was lifted), we examine whether certain social factors protect against increases in stress-related psychopathology during the pandemic, controlling for pre-pandemic symptoms. Youth who reported less in-person and digital socialization, greater social isolation, and less social support had worsened psychopathology during the pandemic. Greater social isolation and decreased digital socialization during the pandemic were associated with greater risk for psychopathology after experiencing pandemic-related stressors. In addition, children, but not adolescents, who maintained some in-person socialization were less likely to develop internalizing symptoms following exposure to pandemic-related stressors. We identify social factors that promote well-being and resilience in youth during this societal event.
Trusting the Government to Do the Right Thing: Data Ethics in Australia’s Pandemic Response
Authors: Dalton-Brown Sally 
Published: December 2022

AbstractAfter a brief overview of ethical issues in an Australian context catalyzed by the current pandemic, this article focuses on data protection in the light of recent debates about COVID-19 data tracking in Australia and globally. This article looks at the issue of trust as a fundamental principle of effective and ethical COVID-safe measures undertaken by the government. Key to ensuring such trust are Habermasian participatory dialogs, which assume trust as a condition of authentic illocution, and an emphasis on short-term data capture.
The Effect of Sustained Poor Air Quality on EMS Call Volume and Characteristics: A Time-Stratified Case-Crossover Study
Authors: McLeod Alec , Murphy Colin , Hagwood Garrett , Rose John S. 
Published: December 2022

AbstractObjectives:As wildfires and air pollution become more common across the United States, it is increasingly important to understand the burden they place on public health. Previous studies have noted relationships between air quality and use of Emergency Medical Services (EMS), but until now, these studies have focused on day-to-day air quality. The goal of this study is to investigate the effect of sustained periods of poor air quality on EMS call characteristics and volume.Methods:Using a time-stratified case-crossover design, the effect of exposure to periods of poor air quality on number and type of EMS calls in California, USA from 2014-2019 was observed. Poor air quality periods greater than three days were identified at the United States Environmental Protection Agency’s (EPA’s) Air Quality Index (AQI) levels of Unhealthy for Sensitive Groups (AQI 100) and Unhealthy (AQI 150). Periods less than three days apart were combined. Each poor air quality period was matched with two one-week controls, the first being the closest preceding week that did not intersect a different case. The second control was the closest week at least three days after the case and not intersecting with a different case. Due to seasonal variation in EMS usage, from the initial cases, cases were used only if it was possible to identify controls within 28 days of the case. A conditional Poisson regression calculated risk ratios for EMS call volume.Results:Comparing the case periods to the controls, significant increases were found at AQI >100 for total number of calls, and the primary impressions categories of emotional state or behavior, level of consciousness, no patient complaint, other, respiratory, and abdominal. At an AQI >150, significance was found for the primary impressions categories of other, pain, respiratory, and digestive.Conclusion:These data demonstrate increased EMS calls during sustained poor air quality, and that several EMS primary impression categories are disproportionately affected. This study is limited by the imprecision of the primary impression’s classification provided by the EMS clinician responding to the EMS call. More research is needed to understand the effects of periods of poor air quality on the EMS system for more efficient deployment of resources.
The concept of “metabolic jet lag” in the pathophysiology of bipolar disorder: implications for research and clinical care
Authors: Koning Elena , McDonald Alexandra , Bambokian Alexander , Gomes Fabiano A. , Vorstman Jacob , Berk Michael , Fabe Jennifer , McIntyre Roger S. , Milev Roumen , Mansur Rodrigo B. , Brietzke Elisa 
Published: December 2022

AbstractBipolar disorder (BD) is a potentially chronic mental disorder marked by recurrent depressive and manic episodes, circadian rhythm disruption, and changes in energetic metabolism. “Metabolic jet lag” refers to a state of shift in circadian patterns of energy homeostasis, affecting neuroendocrine, immune, and adipose tissue function, expressed through behavioral changes such as irregularities in sleep and appetite. Risk factors include genetic variation, mitochondrial dysfunction, lifestyle factors, poor gut microbiome health and abnormalities in hunger, satiety, and hedonistic function. Evidence suggests metabolic jet lag is a core component of BD pathophysiology, as individuals with BD frequently exhibit irregular eating rhythms and circadian desynchronization of their energetic metabolism, which is associated with unfavorable clinical outcomes. Although current diagnostic criteria lack any assessment of eating rhythms, technological advancements including mobile phone applications and ecological momentary assessment allow for the reliable tracking of biological rhythms. Overall, methodological refinement of metabolic jet lag assessment will increase knowledge in this field and stimulate the development of interventions targeting metabolic rhythms, such as time-restricted eating.
Disequilibrium propagation of quantity constraints: application to the COVID lockdowns
Authors: Mandel Antoine , Veetil Vipin P. 
Published: December 2022

AbstractThis paper develops a network economy model to study the propagation of the COVID lockdown shock. Firms are related to each other through buyer–seller relations in the market for intermediate inputs. Firms choose production levels and input combinations using prices that emerge from local interactions. Nothing forbids trade at out-of-equilibrium prices. In such a setting, disequilibrium spills over from one market to another due to the interconnections between markets. These disequilibrium dynamics are capable of generating unemployment when workers released by contracting firms are not frictionlessly absorbed by expanding firms. We calibrate the model to the US economy using a data set with more than 200,000 buyer–seller relations between about 70,000 firms. Computational experiments on the calibrated economy suggest that the COVID lockdown generates a sizeable decline in GDP. The endogenously generated unemployment dynamics is a primary determinant of the cost of the lockdown.
The foreign-language effect on self-positivity bias: Behavioral and electrophysiological evidence
Authors: Zhang Wanyu , Lan Yuxin , Li Qian , Gao Zhao , Hu Jiehui , Gao Shan 
Published: December 2022

AbstractPrevious research has shown that using foreign languages reduces cognitive biases. Here, we investigate whether this foreign-language effect extends to self-related cognition – in particular, the self-positivity bias, which refers to automatic association of oneself with positive information and has a facilitation role in maintaining mental health. We applied event-related brain potentials and oscillations in the implicit association test where Chinese–English bilinguals responded to category words (self vs. others) and attribute words (positive vs. negative) in either their native language Chinese or their foreign language English. In response to Chinese words, a self-positivity bias occurred, indexed by a positive D-score in reaction times as well as by smaller N200, larger P3-like/LPC responses, and lower alpha desynchronization when self words were associated with positive relative to negative traits. However, the bias was diminished in the English context. Overall, our findings provide important implications for language choices when self-protective mechanisms should be enhanced.
Patient beliefs associated with medication hesitancy in palliative care: A systematic review using the theory of planned behavior
Authors: Lo Un Cheng , Musa Hala , Li Jeffery , Gaon Janet , Hibbs David E. , Ong Jennifer A. 
Published: December 2022

AbstractContextThe demand of palliative care is increasing due to the aging population and treatment hesitancy or intentional avoidance compromises symptom management.ObjectivesTo identify patient beliefs associated with medication hesitancy by using the theory of planned behavior (TPB) namely, attitudes, subjective norms, behavioral intention, and perceived behavioral control associated with medication hesitancy or intentional noncompliance by avoidance.MethodsThe Preferred Reporting Items for Systematic Reviews and Meta-Analysis guideline was followed to conduct a systematic literature search involving the CINAHL, Embase, MEDLINE, and PsycINFO databases from inception until March 2022. Hand-searched articles from reference lists and gray literature were included. Thematic analysis was conducted on qualitative data and triangulated with quantitative data.ResultsAbout 554 articles were retrieved from the literature search and 17 articles were included based on the eligibility criteria. Three subthemes that were identified under TPB constructs were attitude: negative attitude toward medications, passive attitude toward illness and inaccurate information about disease or medication; one subtheme was identified under subjective norms: perceived negative opinions from others; and one subtheme was identified under perceived behavioral control: perception of manageable symptoms. Quantitative data provided triangulation of qualitative findings related to fear of addiction and side effects, feelings of hopelessness, unclear direction and information, social stigma, endurable symptoms, and illness as determinants for medication avoidance.Significance of resultsThis systematic review highlighted some patient beliefs related to medication hesitancy or avoidance. Clinicians should take patient beliefs and concerns into consideration when creating treatment regimens for people receiving palliative care to optimize medication adherence and the quality of care.
Influence of esports on Sleep and Stress
Authors: Klier Kristina , Seiler Kirstin , Wagner Matthias 
Published: December 2022

Abstract. Recreative sleep and a low stress level are important health- and performance-enhancing factors in daily life. The present investigation examines the influence of esports on sleep and stress. In a counterbalanced within-subjects design, 44 participants (37 males, 7 females, 25.2 ± 4.6 years old) completed both a gaming and a nongaming session on two consecutive evenings. We assessed individual sleep duration and individual stress parameters via a Garmin® smartwatch in addition to a short subjective scale. The results show that, in the gaming condition, total sleep time was significantly lower than in the nongaming condition ( p = .003). The participants’ stress level was significantly increased after gaming compared to nongaming ( p = .005). Future research should not only examine the long-term effects of esports on health longitudinally, but also establish suitable sleep interventions and stress coping strategies.
Research Priorities for Climate Litigation
Authors: Wentz Jessica , Merner Delta , Franta Benjamin , Lehmen Alessandra , Frumhoff Peter C. 
Published: December 2022

AbstractThis article characterizes key research gaps and opportunities for scientists across disciplines to do work that informs the rapidly growing number of climate lawsuits worldwide. It focuses on research that can be used to inform legal decisions about responsibility for greenhouse gas emissions and climate damages. Relevant lawsuits include claims filed against government and corporate defendants alleging that they have violated environmental, human rights, constitutional, tort, and consumer protection laws due to their contributions to climate change and failures to control emissions. Constructive attention has recently been given to the important role of attribution science in informing some of these cases (Burger et al., 2020, https://doi.org/10.7916/cjel.v45i1.4730; Stuart‐Smith et al., 2021, https://doi.org/10.1038/s41561-021-00686-4). Here, we draw upon both the published literature and conversations with diverse legal scholars and practitioners to characterize what further climate litigation‐relevant research is most needed. In addition to key gaps in litigation‐relevant attribution science, we identify and characterize the need and opportunity for further social science research to address the causes of climate inaction, and for further cross‐disciplinary research to inform emerging legal questions on the allocation of responsibility for emissions reductions to align with temperature limits such as those set by the Paris Climate Agreement. Our primary goal is to identify areas for researchers who are interested in contributing to climate litigation and discussions about legal responsibility for climate change. We also seek to help the research community see this as a legitimate and important domain for timely, actionable scientific research.
Alternating North‐South Brightness Ratio of Ganymede's Auroral Ovals: Hubble Space Telescope Observations Around the Juno PJ34 Flyby
Authors: Saur Joachim , Duling Stefan , Wennmacher Alexandre , Willmes Clarissa , Roth Lorenz , Strobel Darrell F. , Allegrini Frédéric , Bagenal Fran , Bolton Scott J. , Bonfond Bertrand , Clark George , Gladstone Randy , Greathouse Thomas K. , Grodent Denis C. , Hansen Candice J. , Kurth William S. , Orton Glenn S. , Retherford Kurt D. , Rymer Abigail M. , Sulaiman Ali H. 
Published: December 2022

AbstractWe report results of Hubble Space Telescope observations from Ganymede's orbitally trailing side which were taken around the flyby of the Juno spacecraft on 7 June 2021. We find that Ganymede's northern and southern auroral ovals alternate in brightness such that the oval facing Jupiter's magnetospheric plasma sheet is brighter than the other one. This suggests that the generator that powers Ganymede's aurora is the momentum of the Jovian plasma sheet north and south of Ganymede's magnetosphere. Magnetic coupling of Ganymede to the plasma sheet above and below the moon causes asymmetric magnetic stresses and electromagnetic energy fluxes ultimately powering the auroral acceleration process. No clear statistically significant timevariability of the auroral emission on short time scales of 100s could be resolved. We show that electron energy fluxes of several tens of mW m−2 are required for its OI 1,356 Å emission making Ganymede a very poor auroral emitter.
Ganymede's UV Reflectance From Juno‐UVS Data
Authors: Molyneux P. M. , Greathouse T. K. , Gladstone G. R. , Versteeg M. H. , Hue V. , Kammer J. , Davis M. W. , Bolton S. J. , Giles R. , Connerney J. E. P. , Gérard J. C. , Grodent D. C. 
Published: December 2022

AbstractDuring the Juno orbit 34 Ganymede encounter, the ultraviolet spectrograph mapped UV sunlight reflected by Ganymede from a closest approach altitude of 1,044 km, allowing us to study spatial variations in Ganymede's far ultraviolet reflectance at higher resolution than has previously been possible. We find that a characteristic signature of water ice seen around 165 nm in laboratory spectra is absent over much of the observed area, but is detectable in the north high latitude region. We suggest that the spectral difference between the high latitudes and other icy regions, such as Tros crater, may be explained by the presence of additional UV‐absorbing contaminants such as NH3 at lower latitudes. We also note a decrease in the relative reflectance of the high latitude regions at wavelengths >190 nm, which may be the start of a previously observed ozone absorption feature.
High‐Latitude Plasma Convection Based on SuperDARN Observations and the Locally Divergence Free Criterion
Authors: Bristow W. A. , Lyons L. R. , Nishimura Y. , Shepherd S. G. , Donovan E. F. 
Published: December 2022

AbstractA new technique for estimating the global‐scale pattern of magnetospheric convection in the ionosphere is presented. The technique uses the Super Dual Auroral Radar Network line‐of‐sight velocity observations combined with an empirical convection model and the assumption that the resulting velocity field is divergence free. In contrast to other techniques for convection estimation, it does not express the velocity field in terms of known basis vectors and it does not assume that the velocity can be determined from a static potential. The velocity is estimated by applying Bayesian inverse theory to the input data, model, and constraints. Linear equations for the plasma velocity at every point in the domain are solved simultaneously in a least squares sense. Application of the technique results in convection patterns with spatial resolution equal to the calculation grid spacing. The resulting patterns conform with expectations based on the observed interplanetary magnetic field conditions and display features that show close correspondence to simultaneously observed features in the auroral luminosity.