bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facebook with money: the rise of online brokerage platforms and vulnerable groups
Authors: Gáspár-Szilágyi Szilárd , Pearson Abigail 
Published: December 2021

AbstractThe recent advances in information technology now allow millions of people to trade and invest in an array of financial assets with the help of online brokerage platforms. This allows retail investors to have more control over their own financial well-being, arguably a positive development. Nevertheless, trading and investing with real money comes with serious risks, especially for vulnerable people. The current UK framework for the regulation of online trading in financial assets overlooks vulnerable groups, such as children, disabled adults, and vulnerable women. By drawing a parallel between online gambling and online trading, the negative effects of online trading can be minimised. The UK regulatory and policy framework surrounding online gambling could provide valuable solutions to tackle the existing lacunae in the protection of vulnerable groups in the online trading environment.
The law of fixtures and chattels: recalibration, rationalisation and reform
Authors: Bevan Chris 
Published: December 2021

AbstractThis paper examines the law of fixtures and chattels which governs the circumstances in which items of personal property that are attached to land become part of that land. Whether a chattel has become a fixture is crucial in a range of contexts including when land is sold or mortgaged. However, the law of fixtures has long garnered a reputation for complexity and obscurity; a position that endures today. Through examination of historical accounts and decided case law, this paper explores the reasons for this reputation; identifies the central deficiencies and defects inherent in the law and argues that the existing approach is anachronistic, inconsistent and incoherent. Building on this, the paper concludes by proposing a new framework for rationalisation and reform which would bring long-overdue certainty and clarity to the law in this area.
The effects of state coercion on voting outcome in protest movements: a causal forest approach
Authors: Yin Weiwen , Huo Weidong , Lin Danyang 
Published: December 2021

AbstractIn this research note, we examine how Hong Kong voters respond to police violence in the recent social movement. We use causal forests, a machine learning algorithm, to estimate the impact of tear gas usage specific to each constituency. Based on the 2019 District Council Election outcome, we find that there is heterogeneity in the effect of state coercion on the vote share of pro-democracy candidates, depending on many socioeconomic characteristics of the constituency. The results imply that economic concerns still matter in the struggle to obtain democracy: citizens who sense economic insecurity in social unrest show less disapproval of state violence.
The effect of the Dietary Approaches to Stop Hypertension (DASH) diet on body composition, complete blood count, prothrombin time, inflammation and liver function in haemophilic adolescents
Authors: Mahdavi Atena , Mohammadi Hamed , Bagherniya Mohammad , Foshati Sahar , Clark Cain C. T. , Moafi Alireza , Elyasi Mahshid , Rouhani Mohammad Hossein 
Published: December 2021

AbstractThere is no dietary strategy that has yet been specifically advocated for haemophilia. Therefore, we sought to assess the effect of the Dietary Approaches to Stop Hypertension (DASH) diet in adolescents with haemophilia. In this parallel trial, forty male adolescents with haemophilia were dichotomised into the DASH group or control group for 10 weeks. The serum high sensitivity C-reactive protein, IL-6, complete blood count (CBC), serum glutamic oxaloacetic transaminase, serum glutamic pyruvic transaminase, partial thromboplastin time (PTT), waist circumference (WC), percentage of body fat, fat-free mass and liver steatosis were measured at the beginning and end of the study. Serum vitamin C was measured as a biomarker of compliance with the DASH diet. The DASH diet was designed to include high amounts of whole grains, fruits, vegetables and low-fat dairy products, as well as low amounts of saturated fats, cholesterol, refined grains, sweets and red meat. Serum vitamin C in the DASH group was significantly increased compared with the control (P = 0·001). There was a significant reduction in WC (P = 0·005), fat mass (P = 0·006), hepatic fibrosis (P = 0·02) and PTT (P = 0·008) in the DASH group, compared with the control. However, there were no significant differences regarding other selected outcomes between groups. Patients in the DASH group had significantly greater increase in the levels of erythrocyte, Hb and haematocrit, as compared with the control. Adherence to the DASH diet in children with haemophilia yielded significant beneficial effects on body composition, CBC, inflammation and liver function.
How Do Violent Politicians Govern? The Case of Paramilitary-Tied Mayors in Colombia
Authors: Daly Sarah Zukerman 
Published: December 2021

AbstractHow do politicians with coercive linkages govern? This article relies on original data on militia-linked mayors in Colombia from 1988 to 2015 derived from 42,000 pages of Colombian Supreme Court sentencing documents. Using a regression discontinuity design, it examines the governance records of militia-tied mayors who won the elections by a narrow margin. It finds that being ruled by a militia-linked mayor significantly reduces levels of insecurity and crime, but has pernicious effects on the provision of other public goods, especially education. I theorize that these politicians' (perverse) comparative advantage on security, combined with their crowding out of social spending, engenders these outcomes. I evaluate these mechanisms with data on the nature of paramilitary–mayor alliances, police reinforcements, municipal budgets, politicians' Twitter feeds, and in-depth interviews with paramilitary commanders and politicians. The article has implications for understanding the effects of voting for politicians with coercive ties on the quality of governance and democracy.
The “Perfect Map” of Widow Hiamtse: A Micro-Spatial History of Sugar Plantations in Early Modern Southeast Asia, 1685–1710
Authors: Xu Guanmian 
Published: December 2021

AbstractNot all early modern sugar plantations were in the Atlantic World. Indeed, far away from it, in the rural space surrounding the Dutch headquarters in Asia (the Ommelanden of Batavia (Jakarta)), over a hundred of them were thriving by the end of the seventeenth century. Together, they constituted a unique plantation society that followed Dutch land law, was operated by Javanese rural labour, and was managed by Chinese sugar entrepreneurs. Through archival work on a certain “perfect map” that belonged to a Chinese widow, this article explores how that plantation society took shape on the ground.
Differential repair enzyme-substrate selection within dynamic DNA energy landscapes
Authors: Völker J. , Breslauer K. J. 
Published: December 2021

AbstractWe demonstrate that reshaping of the dynamic, bulged-loop energy landscape of DNA triplet repeat ensembles by the presence of an abasic site alters repair outcomes by the APE1 enzyme. This phenomenon depends on the structural context of the lesion, despite the abasic site always having the same neighbors in sequence space. We employ this lesion-induced redistribution of DNA states and a kinetic trap to monitor different occupancies of the DNA bulge loop states. We show how such dynamic redistribution and associated differential occupancies of DNA states impact APE1 repair outcomes and APE1 induced interconversions. We correlate the differential biophysical properties of the dynamic, DNA ensemble states, with their ability to be recognized and processed as substrates by the APE1 DNA repair enzyme. Enzymatic digestions and biophysical characterizations reveal that APE1 cuts a fraction (10–12%) of the dynamic, rollameric substrates within the initial kinetic distribution. APE1 interactions also ‘induce’ rollamer redistribution from a kinetically trapped distribution to an equilibrium distribution, the latter not containing viable APE1 substrates. We distinguish between kinetically controlled ensemble (re)distributions of potential DNA substrates, versus thermodynamically controlled ensemble (re)distribution; features of importance to DNA regulation. We conclude that APE1 activity catalyzes/induces ensembles that represent the thermodynamically optimal loop distribution, yet which also are nonviable substrate states for abasic site cleavage by APE1. We propose that by inducing substrate redistributions in a dynamic energy landscape, the enzyme actually reduces the available substrate competent species for it to process, reflective of a regulatory mechanism for enzymatic self-repression. If this is a general phenomenon, such a consequence would have a profound impact on slowing down and/or misdirecting DNA repair within dynamic energy landscapes, as exemplified here within triplet repeat domains. In short, APE1-instigated redistribution of potential substrates induces a preferred pathway to an equilibrium ensemble of enzymatically incompetent states.
How Much Choice is Enough? Parental Satisfaction with Secondary School Choice in England and Scotland
Authors: BHATTACHARYA AVEEK 
Published: December 2021

AbstractGovernments around the world have sought to promote school choice, not just in order to improve educational outcomes, but also because such choice is believed to be intrinsically valuable: parents are believed to want to choice and to feel empowered by it. This article empirically evaluates the intrinsic value of school choice, comparing the attitudes and experiences of parents in England (where expanding choice is an explicit policy goal) and Scotland (where policymakers tend to play down choice), combining an online survey with in-depth interviews. While the overwhelming majority of parents in both countries express a desire for some school choice, only a minority want choice primarily for intrinsic reasons. Rather, most believe it is necessary to avoid negative outcomes for their children. Moreover, while parents in England tend to say they have more choice than their Scottish counterparts, they are no more satisfied with the level of choice that they have. Indeed, they tend to be more cynical, fatalistic and disempowered. Based on the British experience, school choice policies have not been successful in promoting intrinsic value.
Application of 3D face recognition in the access control system
Authors: Le Quoc Dien , Vu Tran Thanh Cong , Vo Tuong Quan 
Published: December 2021

AbstractOver the years, face recognition has been the research topic that has attracted many researchers around the world. One of the most significant applications of face recognition is the access control system. The access control system allows authorized persons to enter or exit certain or restricted areas. As a result, it will increase the security situation without over-investment in staff security. The access information can be the identification, time, and location, etc. It can be used to carry out human resource management tasks such as attendance and inspection of employees in a more fair and transparent manner. Although face recognition has been widely used in access control systems because of its better accuracy and convenience without requiring too much user cooperation, the 2D-based face recognition systems also retain many limitations due to the variations in pose and illumination. By analyzing facial geometries, 3D facial recognition systems can theoretically overcome the disadvantages of prior 2D methods and improve robustness in different working conditions. In this paper, we propose the 3D facial recognition algorithm for use in an access control system. The proposed algorithm includes the preprocessing, feature extraction, and classification stages. The application of the proposed access control system is the automatic sliding door, the controller of the system, the web-based monitoring, control, and storage of data.
The Harm Principle and the Nature of Harm
Authors: Folland Anna 
Published: December 2021

AbstractThis article defends the Harm Principle, commonly attributed to John Stuart Mill, against recent criticism. Some philosophers think that this principle should be rejected, because of severe difficulties with finding an account of harm to plug into it. I examine the criticism and find it unforceful. Finally, I identify a faulty assumption behind this type of criticism, namely that the Harm Principle is plausible only if there is a full-blown, and problem-free, account of harm, which proponents of the principle can refer to.
Empirically-identified subgroups of children with autism spectrum disorder and their response to two types of cognitive behavioral therapy
Authors: Cho Anchuen , Wood Jeffrey J. , Ferrer Emilio , Rosenau Kashia , Storch Eric A. , Kendall Philip C. 
Published: December 2021

AbstractAutism spectrum disorder (ASD) is heterogeneous and likely entails distinct phenotypes with varying etiologies. Identifying these subgroups may contribute to hypotheses about differential treatment responses. The present study aimed to discern subgroups among children with ASD and anxiety in context of the five-factor model of personality (FFM) and evaluate treatment response differences to two cognitive-behavioral therapy treatments. The present study is a secondary data analysis of children with ASD and anxiety (N=202; ages 7–13; 20.8% female) in a cognitive behavioral therapy (CBT) randomized controlled trial (Wood et al., 2020). Subgroups were identified via latent profile analysis of parent-reported FFM data. Treatment groups included standard-of-practice CBT (CC), designed for children with anxiety, and adapted CBT (BIACA), designed for children with ASD and comorbid anxiety. Five subgroups with distinct profiles were extracted. Analysis of covariance revealed CBT response was contingent on subgroup membership. Two subgroups responded better to BIACA on the primary outcome measure and a third responded better to BIACA on a peer-social adaptation measure, while a fourth subgroup responded better to CC on a school-related adaptation measure. These findings suggest that the FFM may be useful in empirically identifying subgroups of children with ASD, which could inform intervention selection decisions for children with ASD and anxiety.
MOMENTS AND HYBRID SUBCONVEXITY FOR SYMMETRIC-SQUARE L-FUNCTIONS
Authors: Khan Rizwanur , Young Matthew P. 
Published: December 2021

AbstractWe establish sharp bounds for the second moment of symmetric-square L-functions attached to Hecke Maass cusp forms
$u_j$
with spectral parameter
$t_j$
, where the second moment is a sum over
$t_j$
in a short interval. At the central point
$s=1/2$
of the L-function, our interval is smaller than previous known results. More specifically, for
$\left \lvert t_j\right \rvert $
of size T, our interval is of size
$T^{1/5}$
, whereas the previous best was
$T^{1/3}$
, from work of Lam. A little higher up on the critical line, our second moment yields a subconvexity bound for the symmetric-square L-function. More specifically, we get subconvexity at
$s=1/2+it$
provided
$\left \lvert t_j\right \rvert ^{6/7+\delta }\le \lvert t\rvert \le (2-\delta )\left \lvert t_j\right \rvert $
for any fixed
$\delta>0$
. Since
$\lvert t\rvert $
can be taken significantly smaller than
$\left \lvert t_j\right \rvert $
, this may be viewed as an approximation to the notorious subconvexity problem for the symmetric-square L-function in the spectral aspect at
$s=1/2$
.
Individual trust and quality of regional government
Authors: Lombardo Rosetta , Ricotta Fernanda 
Published: December 2021

AbstractThe impact of trust on economic performance has been widely explored, but the reasons for its variability across countries are not well understood. We analyse the effect of the quality of government at the regional level on individual generalized trust in a multi-country context across regions in Europe. Social phenomena are often subnational and a number of public services are provided at a subnational level; the trust of individuals living in the same country may, therefore, differ by region depending also on the quality of the local government. As a proxy of the quality of institutions, we use the European Quality of Government Index, calculated at the regional level over 27 European Union (EU) countries. The analysis conducted on data extracted from the European Social Survey 2012 refers to 142 regions from 15 EU member states. Considering the clustered nature of the data, a multilevel approach is used. The findings show that living in a region with high-quality local government positively influences individual trust. This positive association survives the inclusion of several contextual regional variables.
Tracing Uncertainty Contributors in the Multi‐Hazard Risk Analysis for Compound Extremes
Authors: Fan Y. R. , Yu L. , Shi X. , Duan Q. Y. 
Published: December 2021

AbstractIn this study, an iterative factorial multimodel Bayesian copula (IFMBC) framework was developed for revealing uncertainties in risk inferences of compound extremes under the consideration of diverse model structures and parameter sets. Particularly, an iterative factorial analysis (IFA) method would be advanced in IFMBC to track the dominant contributors to the imprecise predictions of multi‐hazard risks. The developed IFMBC framework was applied for the risk assessment of compound floods at two estuarine systems (i.e., Washington and Philadelphia) in US. The results indicate that the most likely compound events, under predefined return periods, exhibit noticeable uncertainties. Those uncertainties also present multiple hotspots which may be attributed to different impacts from different factors. By applying the IFA method, the results suggest the copula structure would likely be ranked as one of the top 2 impact factors for predictions of failure probabilities (FPs) in the scenarios of AND, and Kendall, with its contributions higher than 30% for FP in Kendall (more than 40% at Washington) and more than 25% for FP in Kendall (larger than 40% at Philadelphia). In comparison, the copula structure may not pose a visible effect on the predictive uncertainty for FP in OR, with its contribution possibly less than 5% under long‐term service time periods. However, the marginal distributions would have higher effects on FP in OR than the effects on the other two FPs. Particularly, the marginal distribution for the extreme variable with high skewness and kurtosis values tends to be ranked as one of the most significant impact factors for FP in OR. Also, the overall impacts from parametric uncertainties in both marginal and dependence models cannot be neglected for the predictions of all three FPs with their contributions probably larger than 20% under a short service time period. Compared with the traditional multilevel factorial analysis, the IFA method can provide more reliable characterization for uncertainty contributors in multi‐hazard risk analyses, since the traditional method seems to significantly overestimate the contributions from parameter uncertainties.
Controlled Abstention Neural Networks for Identifying Skillful Predictions for Classification Problems
Authors: Barnes Elizabeth A. , Barnes Randal J. 
Published: December 2021

AbstractThe earth system is exceedingly complex and often chaotic in nature, making prediction incredibly challenging: we cannot expect to make perfect predictions all of the time. Instead, we look for specific states of the system that lead to more predictable behavior than others, often termed “forecasts of opportunity.” When these opportunities are not present, scientists need prediction systems that are capable of saying “I don't know.” We introduce a novel loss function, termed the “NotWrong loss,” that allows neural networks to identify forecasts of opportunity for classification problems. The NotWrong loss introduces an abstention class that allows the network to identify the more confident samples and abstain (say “I don't know”) on the less confident samples. The abstention loss is designed to abstain on a user‐defined fraction of the samples via a standard adaptive controller. Unlike many machine learning methods used to reject samples post‐training, the NotWrong loss is applied during training to preferentially learn from the more confident samples. We show that the NotWrong loss outperforms other existing loss functions for multiple climate use cases. The implementation of the proposed loss function is straightforward in most network architectures designed for classification as it only requires the addition of an abstention class to the output layer and modification of the loss function.
Focal disruption of DNA methylation dynamics at enhancers in IDH-mutant AML cells
Authors: Wilson Elisabeth R. , Helton Nichole M. , Heath Sharon E. , Fulton Robert S. , Payton Jacqueline E. , Welch John S. , Walter Matthew J. , Westervelt Peter , DiPersio John F. , Link Daniel C. , Miller Christopher A. , Ley Timothy J. , Spencer David H. 
Published: December 2021

AbstractRecurrent mutations in IDH1 or IDH2 in acute myeloid leukemia (AML) are associated with increased DNA methylation, but the genome-wide patterns of this hypermethylation phenotype have not been comprehensively studied in AML samples. We analyzed whole-genome bisulfite sequencing data from 15 primary AML samples with IDH1 or IDH2 mutations, which identified ~4000 focal regions that were uniquely hypermethylated in IDHmut samples vs. normal CD34+ cells and other AMLs. These regions had modest hypermethylation in AMLs with biallelic TET2 mutations, and levels of 5-hydroxymethylation that were diminished in IDH and TET-mutant samples, indicating that this hypermethylation results from inhibition of TET-mediated demethylation. Focal hypermethylation in IDHmut AMLs occurred at regions with low methylation in CD34+ cells, implying that DNA methylation and demethylation are active at these loci. AML samples containing IDH and DNMT3AR882 mutations were significantly less hypermethylated, suggesting that IDHmut-associated hypermethylation is mediated by DNMT3A. IDHmut-specific hypermethylation was highly enriched for enhancers that form direct interactions with genes involved in normal hematopoiesis and AML, including MYC and ETV6. These results suggest that focal hypermethylation in IDH-mutant AML occurs by altering the balance between DNA methylation and demethylation, and that disruption of these pathways at enhancers may contribute to AML pathogenesis.