Miracle-dz/UniFAR-FTUs huggingface dataset:
MACROECONOMIC FACTORS AND THE CRISIS-INDUCED SENTIMENT OF FEARS IMPACT ON INDONESIAN GOVERNMENT BOND YIELD

Great Financial Crisis 2008 and the COVID-19 crisis are two world crises that happened in the last 20 years, yet there’s so little literature that connects the sentiment of fear to the bond market. This study focuses on analyzing the impact of the sentiment of fear caused by the two crises that occurred in Indonesia, namely the Great Financial Crisis in 2008 and the COVID-19 Pandemic, along with macroeconomic factors to 10-year Indonesian government bond yields using VECM methods. The results showed that only the Federal Reserve interest rate has a significant impact on the government bond yield in both crises, while the rest is not significant. This result shows that in both crises, the Indonesian government bond yield was affected by only the Federal Reserve’s reaction to the crises, while not considering how both crises could cause negative sentiment from the investors.
Niche-markets subsidy for effective diffusion of battery electric vehicles in Sweden

This study suggests an improved policy pathway for a higher adoption of battery electric vehicles (BEVs) in Sweden. By use of Rogers’ Diffusion of Innovations it was shown that Sweden’s current policy is ineffective due to equal incentives on plug-in hybrid electric vehicles and battery electric vehicles. In conjunction with Rogers’ theory, Multi-Level perspective shows that this is the result of the technology neutrality of the Swedish government. Norway, with higher incentives which only focus on BEVs, has a greater adoption rate of BEVs. However, the high incentives in Norway come along with the drawback of disturbing the adoption process. The incentives make adopters use the technology only because of financial reasons without questioning the compatibility and complexity of the technology.In order for Sweden to reach its goal of a fossil independent car fleet in 2030, this study suggests a policy where focus is put on supporting niche-markets rather than supporting individuals, as Norway does. Within the niche-market the BEV can develop to become a competitive technology. When competitive, BEV can replace the fossil fuel dependent vehicles currently used without disturbing the adoption process.
SYNOPTIC WEATHER TYPES ASSOCIATED WITH CRITICAL FIRE WEATHER

Abstract : Mass fires are likely to spread rapidly and burn intensely when strong winds are combined with low humidities and high temperatures, particularly after a rainless period. To identify synoptic weather types that create such periods of critical fire weather, the 48 contiguous states were divided into 14 regions and fire danger indexes were computed from weather data at 89 stations for the years 1951-60. Surface weather types and upper-air patterns associated with high fire danger are described for each region.
ROAM Using Surface Triangle Clusters (RUSTiC)

Author(s): Pomeranz, Alex A. | Abstract: Interactive visualization of terrain and general complex surfaces is a difficult problem that requires large data sets to be displayed and manipulated at high frame rates. Operations such as rotation and panning must be supported so a user can examine the data in critical areas, while maintaining highly accurate images. While previous surface approximation algorithms have yielded accurate and attractive-looking images, these algorithms are using only a fraction of the power of current graphics hardware due to being CPU bound. RUSTiC is an attempt to take advantage of the simplicity and accuracy of ROAM(Real-time Optimally Adapting Meshes), a previously developed surface approximation algorithm, while increasing the displayable polygon count by at least one order of magnitude.
Generalizations of Quandles and their cohomologies

Quandles are distributive algebraic structures originally introduced independently by David Joyce [33] and Sergei Matveev [43] in 1979, motivated by the study of knots. In this dissertation, we discuss a number of generalizations of the notion of quandles. In the first part of this dissertation we discuss biquandles, in the context of augmented biquandles, a representation of biquandles in terms of actions of a set by an augmentation group. Using this representation we are able to develop a homology and cohomology theory for these structures. We then introduce an n-ary generalization of the notion of quandles. We discuss a number of properties of these structures and provide a number of examples. Also discussed are methods of obtaining n-ary quandles through iteration of binary quandles, and obtaining binary quandles from n-ary quandles, along with a classification of low order ternary quandles. We build upon this generalization, introducing n-ary f -quandles, and similarly discuss examples, properties, and relations between the n-ary structures and their binary counter parts, as well as low order classification of ternary f -quandles. Finally we present cohomology theory for general n-ary f -quandles.
Improvements of adolescent psychopathology after insomnia treatment: results from a randomized controlled trial over 1 year

BACKGROUND Adolescent insomnia can be treated effectively with cognitive behavioural therapy for insomnia (CBTI). However, little is known about effects of CBTI on psychopathology in adolescents. This study aimed to investigate whether (a) CBTI improves psychopathology in Internet- (IT) and face-to-face group treatment (GT) compared to waitlist (WL), (b) improvement in psychopathology can be attributed to reduced insomnia, (c) improvement in psychopathology remains stable for up to 1 year. METHODS One hundred and sixteen participants (age = 15.6 years, 25% males) with DSM-5 insomnia, were randomly assigned to IT, GT or WL. CLINICAL TRIAL REGISTRATION http://www.controlledtrials. com (ISRCTN33922163). Assessments of psychopathology, insomnia and objectively and subjectively measured sleep occurred at baseline, post-treatment, and at 2-, 6- and 12-month follow-up. Multilevel and mediation analyses were run to test hypotheses. The CBTI protocol, 'Sleeping Smart' for both IT and GT consisted of six weekly sessions and a booster session after 2 months. RESULTS Psychopathology symptoms, insomnia and sleep problems as measured by actigraphy and sleep logs decreased substantially in IT and GT compared with WL at 2-month follow-up with medium to large effect sizes (ESs). Psychopathology symptoms remained stable or further improved for up to 12-month follow-up. ESs at 12-month follow-up for IT and GT were respectively: affective (d = -0.87 and -0.97), anxiety (d = -0.81 for IT), somatic (d = -0.38 and d = -0.52), oppositional (d = -0.42 for GT) and attention deficit hyperactivity disorder (ADHD) problems (d = -0.47 and -0.46). Mediation analyses indicated that reduction of insomnia symptoms after CBTI fully mediated the effects of CBTI on affective and anxiety problems, and partially mediated the effect on ADHD problems. CONCLUSIONS This is the first study demonstrating that Internet and face-to-face CBT for insomnia achieves long-term reduction in adolescent psychopathology and does so by improving insomnia. This finding can have profound implications for youth mental health care.
Research in International Business and Finance Investigating Stock Market Efficiency: a Look at Oic Member Countries

The tremendous growth of emerging and developing markets bring forth new arenas of research. One such area is the efficiency of stock markets. In light of the Efficient Market Hypothesis (EMH) several studies have been undertaken over the past two decade, with much focus being on developed markets and certain developing countries. However, a dearth in literature is seen for this niche on Organization of Islamic Conference (OIC) member countries. Following the recent global crisis, attention on emerging and developing markets have increased tremendously, questioning whether these countries' market are apt in withstanding influxes of capital without crashing. The OIC despite its global presence and potential has often been criticized about its stock markets, which are marred by under-development and illiquidity. This paper focuses on analysing the weak-form efficiency of OIC member stock markets to determine their efficiency rankings during different business cycles. Our results are indicative of improving efficiency over the past decade.
Mobilitics: Analyzing Privacy Leaks in Smartphones

Who, do you think, is aware of almost everything you do? Well, it's probably right there in your pocket, if you own a smartphone and carry it with you. In order to evaluate the actual privacy risks of smartphones and to raise public awareness of these risks, the CNIL (French data protection authority) and the Inria (French public science and technology institution dedicated to computational sciences) Privatics team started working together in 2012 as part of the Mobilitics project.
A Hybrid Approach to Error Detection in a Treebank and its Impact on Manual Validation Time

Treebanks are a linguistic resource: a large database where the morphological, syntactic and lexical information for each sentence has been explicitly marked. The critical requirements of treebanks for various NLP activities (research and application) are well known. This also implies that treebanks need to be as error free as possible. However, manual validation of a treebank is very costly, both in terms of time and money. This paper describes an approach to automatically detect errors in a treebank after a complete manual annotation. Over and above improving an earlier error detection tool (Ambati et al. (2011)) for a Hindi treebank. We also present a user study to show that our system reduces the validation time signi
Visual Speech Recognition

— Machine Learning techniques gives computers the capability to learn using sample inputs and their outputs which creates a model to test against test cases instead of being explicitly programmed. Visual speech recognition is a process of conversion of speech to text in the absence of audio where the lip features of the person are extracted to track the pattern formed. This paper also contains the overview of different Machine Learning algorithms and image processing procedures to effectively extract and track the lip movements. Nowadays image processing procedure is turning into a key technique for extracting the key features and considering various other environmental features to enhance the output. This paper predominantly centers prediction of text based on the lip movements. This paper mainly focuses on reviewing various algorithms used for VSR. There are so many classification techniques such as LSTMs, CNNs, Decision Tree and Neural networks.
Chinese Overseas M&A Performance and the Go Global Policy

This paper investigates whether stock markets view Chinese OMAs as increasing shareholder wealth. The subject is of interest given the influential role that the government plays in Chinese firms’ overseas activities, and the fact that the government may have objectives other than maximization of shareholder wealth. We examine 145 OMAs by Chinese acquiring firms over the year 1994-2008. We find some evidence that markets positively responded to news of Chinese OMAs. However, we also find that markets responded less favorably after China implemented its Go Global policy encouraging overseas investment. We hypothesize two reasons for this: First, the expansion of OMAs under Go Global resulted in Chinese firms pursuing less attractive targets, on average. Second, Go Global re-directed investment towards industries having national strategic value but diminished profit value. Using a Blinder-Oaxaca decomposition procedure, we find no evidence to support this latter hypothesis. Thus, to whatever extent strategic interests may motivate China’s Go Global policy, it does not appear that their pursuit has come at the expense of shareholder wealth.
NRC Publications Archive Archives des publications du CNRC

A BSTRACT . The normalization of a data cube is the process of choosing an ordering for the attribute values, and the chosen ordering will affect the physical storage of the cube’s data. For large multidimensional arrays, proper normalization can lead to more efﬁcient storage in hybrid OLAP contexts that store dense and sparse chunks differently. We show that it is NP-hard to compute an optimal normalization even for 1 × 3 chunks, although we ﬁnd an exact algorithm for 1 × 2 chunks. When attributes are nearly statistically independent, we show that an optimal normalization is given by dimension-wise attribute frequency sorting, which can be done in time O ( dn log ( n )) for data cubes of size n d . When attributes are not independent, we propose and evaluate a number of heuristics. Our optimized hybrid OLAP storage mechanism was observed to be 44% more storage efﬁcient than ROLAP and the gains due to normalization alone accounted for 45% of this increase in efﬁciency.
Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text

Electronic health records contain information about patients’ medical history which is important for research but the text must be de-identified before use. This study utilized dictionaries constructed from publicly available lists of identifiers to automatically annotate a training dataset for a named entity recognition model to de-identify names, streets, and locations in Danish narrative clinical text. Ambiguous identifiers were not annotated if they occurred more than expected for an identifier. The model had recall 93.43%, precision 86.10%, and F1 89.62%. We found that the model generalized from the training data to achieve better performance than simply using the dictionaries to directly annotate text.
The Dark Triad Personality Traits in Relation to Cyberbullying: The Role of Self-Esteem as a Mediator [Hubungan Kepribadian Dark Triad dan Cyberbullying : Peran Self-Esteem Sebagai Mediator]

A cyberbullying study in Indonesia found that 84% of young people aged 12-17 years conducted cyberbullying. The consequences of cyberbullying emphasize the importance of studying the predictors and mechanism of cyberbullying. A number of studies have found that cyberbullying is related to Dark Triad personality traits and self-esteem. Dark Triad personality traits consist of three characteristics, namely the traits of: (1) psychopathy, Machiavellianism, and narcissism. This study aims to see the role of self-esteem as a mediator in the relationship between Dark Triad personality traits and cyberbullying in the age of 20-35 years. Participants of this studi consist of 292 individuals where 70.89% of them are women. This study utilizes three scales, namely cyberbullying scale, Rosenberg Self-Esteem Scale (RSES), and Short Dark Triad Scale (SD3). The result of this study finds that self-esteem mediates traits of psychopathy toward cyberbullying. High self-esteem in individuals with traits of psychopathy results in higher trend in conducting cyberbullying. On the other hand, self-esteem may not significantly mediate between the traits of narcissism and Machiavellianism with cyberbullying. Results of this study aims to provide an implication related to the prevention or intervention of cyberbullying.
Gain and phase margins-based delay margin computation of load frequency control systems using Rekasius substitution

This paper investigates the effect of gain and phase margins (GPMs) on stability delay margin of a two-area load frequency control (LFC) system with constant communication delay. A gain-phase margin tester (GPMT) is introduced to the LFC system as to take into GPMs in delay margin computation. A frequency domain exact method, Rekasius substitution, is proposed to compute the GPMs-based stability delay margins. The method aims to calculate all possible purely complex roots of the characteristic equation for a finite positive time delay. The approach first transforms the characteristic polynomial of the LFC system with transcendental terms into a regular polynomial. Routh-Hurwitz stability criterion is then implemented to compute the purely imaginary roots with the crossing frequency and stability delay margin. For a wide range of proportional–integral controller gains and GPMs, time delay values at which LFC system is both stable and has desired stability margin measured by GPMs are computed. The accuracy of complex roots and delay margins are verified by using an independent algorithm, the quasi-polynomial mapping-based root finder and time-domain simulations. Simulation studies indicate that delay margins must be determined considering GPMs to have a better dynamic performance in term of fast damping of oscillations, less overshoot and settling time.
The Intergenerational Transmission of Context1

This article draws on the extensive literature on economic and social mobility in America to examine intergenerational contextual mobility, defined as the degree to which inequalities in neighborhood environments persist across generations. PSID data are analyzed to reveal remarkable continuity in neighborhood economic status from one generation to the next. The primary consequence of persistent neighborhood stratification is that the racial inequality in America’s neighborhoods that existed a generation ago has been transmitted, for the most part unchanged, to the current generation. More than 70% of black children who grow up in the poorest quarter of American neighborhoods remain in the poorest quarter of neighborhoods as adults, compared to 40% of whites. The results suggest that racial inequality in neighborhood economic status is substantially underestimated with short‐term measures of neighborhood income or poverty and, second, that the steps taken to end racial discrimination in the housing and lending markets have not enabled black Americans to advance out of America’s poorest neighborhoods.
Mathematical models for understanding the genetic diversity of the new coronavirus: LaBECom's analytical protocols In 1 collection

In this work, we evaluated the levels of genetic diversity in 38 complete genomes of SARS-CoV-2, publicly available on the National Center for Biotechnology Information (NCBI) platform and from six countries in South America (Brazil, Chile, Peru, Colombia, Uruguay and Venezuela with 16, 11, 1, 1, 1, 7 haplotypes, respectively), all with an extension of 29,906 bp and Phred values ≥ 40. These haplotypes were previously used for phylogenetic analyses, following the alignment protocols of the MEGA X software; where all gaps and unconserved sites were extracted for the construction of phylogenetic trees. The specific methodologies for Paired F ST estimators, Molecular Variance (AMOVA), Genetic Distance, mismatch, demographic and spatial expansion analyses, molecular diversity and evolutionary divergence time analyses, were obtained using 20,000 random permutation.
Belief Elicitation When More Than Money Matters: Controlling for Control

Incentive compatible mechanisms for eliciting beliefs typically presume that the utilty of money is state independent or that money is the only argument in utility functions. However, subjects may have non-monetary objectives that confound these mechanisms. In particular, psychologists have argued that people favour bets where their ability is involved over equivalent random bets a so-called preference for control. We propose a new belief elicitation method that mitigates the control preference. Using this method, we determine that under the ostensibly incentive compatible matching probabilities method, subjects report self-beliefs 18% higher than their true beliefs in order to increase control. Non-monetary objectives account for at least 68% of what would normally be measured as overcon dence. We also nd that control manifests itself only as a desire for betting on doing well; betting on doing badly is perceived as a negative. Our mechanism can be used to yield better measurements of beliefs in contexts beyond the study of overcon dence. Contact: jpbenoit@london.edu, dubraj@um.edu. uy, G.Romagnoli@uva.nl. We thank Ana Balsa, Alejandro Cid, Sebastian Galiani, Michael Jetter, Lewis Kornhauser, Madan Pillutla, Joël van der Weele and Peter Wakker for comments, and Facundo Danza, John Elder, Juan Pedro Gambetta and Bryan Kwan for outstanding research assistance. Juan Dubra acknowledges the nancial support of ANII and Fondo Clemente Estable. The money for the experiments was provided by London Business School, New York Universitys Stern School of Business and CREED University of Amsterdam.
Surface wave processes in air-sea interaction

We review briefly recent progress on understanding the role of surface waves on the marine atmospheric boundary layer and the ocean mixed layer and give a global perspective on these processes by analysing ERA-40 data. Ocean surface waves interact with the marine atmospheric boundary layer in two broad regimes: (i) the conventional wind-driven wave regime, when fast winds blow over slower moving waves, and (ii) a wave-driven wind regime when long wavelength swell propagates under low winds, and generates a wave-driven jet in the lower part of the marine boundary layer. Analysis of ERA-40 data indicates that the wave-driven wind regime is as prevalent as the conventional wind-driven regime. Ocean surface waves also change profoundly mixing in the ocean mixed layer through generation of Langmuir circulation. Results from large-eddy simulation are used here to develop a scaling for the resulting Langmuir turbulence, which is a necessary step in developing a parametrization of the process. ERA-40 data is then used to show that the Langmuir regime is the predominant regime over much of the global ocean, providing a compelling motivation for parameterising this process in ocean general circulation models.
Familial [corrected] transmission of coronary heart disease: a cohort study of 80,214 Swedish adoptees linked to their biological and adoptive parents

Background Studies of adoptees have the potential to disentangle the contributions of genetic versus family environmental factors in the familiar transmission of coronary heart disease (CHD) because adoptees do not share the same family environment as their biological parents. The aim of this study was: 1) To examine the risk of CHD in adopted men and women with at least one biological parent with CHD, and 2) to examine the risk of CHD in adopted men and women with at least one adoptive parent with CHD. Methods The Swedish Multigenerational register was used to follow all Swedish-born adoptees (born in or after 1932, n = 80,214) between January, 1, 1973 and December 31, 2008 for CHD. The risk of CHD was estimated in adopted men and women with at least one biological parent with CHD, and adopted men and women with at least one adoptive parent with CHD. The control groups consisted of adopted men or women without a biological parent with CHD or adopted men or women without an adoptive parent with CHD. Results Adopted men and women with at least one biological parent with CHD (n = 749) were 1.4 to 1.6 times (statistically significant, 95% CI) more likely to have CHD than adoptees without a biological parent with CHD. In contrast, men and women with at least one adoptive parent with CHD (n = 1,009) were not at increased risk of the disease. Conclusions These findings (based on validated hospital diagnoses unbiased by recall) suggest that the familiar transmission of CHD from parents to offspring is more related to genetic factors than to family environmental factors.