Showing papers by "National Research University – Higher School of Economics published in 2020"
University of Jyväskylä1, California Polytechnic State University2, University of California, Los Angeles3, Los Alamos National Laboratory4, National Research University – Higher School of Economics5, University of California, Berkeley6, University of Birmingham7, Australian Nuclear Science and Technology Organisation8, University of Washington9, University of Massachusetts Amherst10, University of West Bohemia11, University of Texas at Austin12, Brigham Young University13, Universidade Federal de Minas Gerais14, Google15
TL;DR: SciPy as discussed by the authors is an open-source scientific computing library for the Python programming language, which has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year.
Abstract: SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
6,244 citations
TL;DR: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates, and there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries.
5,802 citations
Christopher J L Murray1, Christopher J L Murray2, Christopher J L Murray3, Aleksandr Y. Aravkin3 +2269 more•Institutions (286)
TL;DR: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure.
3,059 citations
TL;DR: In this article, the authors examined how green human resource management interplays on to the linkages between green transformational leadership, green innovation and environmental performance, and found that green HRM indirectly through green innovation influences firm's environmental performance.
655 citations
University of Jyväskylä1, University of California, Los Angeles2, California Polytechnic State University3, Los Alamos National Laboratory4, National Research University – Higher School of Economics5, University of California, Berkeley6, University of Birmingham7, Australian Nuclear Science and Technology Organisation8, University of Washington9, University of Massachusetts Amherst10, University of West Bohemia11, University of Texas at Austin12, Brigham Young University13, Universidade Federal de Minas Gerais14, Google15
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
617 citations
TL;DR: To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—the authors estimated additional population equivalents with UHC effective coverage from 2018 to 2023, and quantified frontiers of U HC effective coverage performance on the basis of pooled health spending per capita.
304 citations
TL;DR: MOSES as mentioned in this paper is a benchmarking platform for molecular generative models, which provides training and testing datasets and a set of metrics to evaluate the quality and diversity of generated structures.
Abstract: Generative models are becoming a tool of choice for exploring the molecular space. These models learn on a large training dataset and produce novel molecular structures with similar properties. Generated structures can be utilized for virtual screening or training semi-supervized predictive models in the downstream tasks. While there are plenty of generative models, it is unclear how to compare and rank them. In this work, we introduce a benchmarking platform called Molecular Sets (MOSES) to standardize training and comparison of molecular generative models. MOSES provides training and testing datasets, and a set of metrics to evaluate the quality and diversity of generated structures. We have implemented and compared several molecular generation models and suggest to use our results as reference points for further advancements in generative chemistry research. The platform and source code are available at https://github.com/molecularsets/moses.
211 citations
Utrecht University1, Netherlands Environmental Assessment Agency2, Potsdam Institute for Climate Impact Research3, Wageningen University and Research Centre4, International Institute for Applied Systems Analysis5, Technical University of Berlin6, European Institute7, Kyoto University8, National Technical University of Athens9, Federal University of Rio de Janeiro10, Imperial College London11, Tsinghua University12, Joint Global Change Research Institute13, National Development and Reform Commission14, The Energy and Resources Institute15, National Research University – Higher School of Economics16, Indian Institute of Management Ahmedabad17, National Institute for Environmental Studies18
TL;DR: It is shown that implementation of current policies leaves a median emission gap of 22.4 to 28.2 GtCO 2 eq by 2030 with the optimal pathways to implement the well below 2 °C and 1.5C Paris goals, which shows that all countries would need to accelerate the implementation of policies for renewable technologies, while efficiency improvements are especially important in emerging countries and fossil-fuel-dependent countries.
Abstract: Many countries have implemented national climate policies to accomplish pledged Nationally Determined Contributions and to contribute to the temperature objectives of the Paris Agreement on climate change. In 2023, the global stocktake will assess the combined effort of countries. Here, based on a public policy database and a multi-model scenario analysis, we show that implementation of current policies leaves a median emission gap of 22.4 to 28.2 GtCO2eq by 2030 with the optimal pathways to implement the well below 2 °C and 1.5 °C Paris goals. If Nationally Determined Contributions would be fully implemented, this gap would be reduced by a third. Interestingly, the countries evaluated were found to not achieve their pledged contributions with implemented policies (implementation gap), or to have an ambition gap with optimal pathways towards well below 2 °C. This shows that all countries would need to accelerate the implementation of policies for renewable technologies, while efficiency improvements are especially important in emerging countries and fossil-fuel-dependent countries.
201 citations
Proceedings Article•
30 Apr 2020TL;DR: This work focuses on in-domain uncertainty for image classification and introduces the deep ensemble equivalent (DEE) and shows that many sophisticated ensembling techniques are equivalent to an ensemble of very few independently trained networks in terms of the test log-likelihood.
Abstract: Uncertainty estimation and ensembling methods go hand-in-hand. Uncertainty estimation is one of the main benchmarks for assessment of ensembling performance. At the same time, deep learning ensembles have provided state-of-the-art results in uncertainty estimation. In this work, we focus on in-domain uncertainty for image classification. We explore the standards for its quantification and point out pitfalls of existing metrics. Avoiding these pitfalls, we perform a broad study of different ensembling techniques. To provide more insight in the broad comparison, we introduce the deep ensemble equivalent (DEE) and show that many sophisticated ensembling techniques are equivalent to an ensemble of very few independently trained networks in terms of the test log-likelihood.
187 citations
TL;DR: Novel results on the local impact of the 2020 CARES Act suggest stimulus transfers that addressed economic dislocation caused by the COVID-19 pandemic significantly increased social distancing.
Abstract: Shelter-in-place ordinances were the first wide-spread policy measures aimed to mitigate the spread of COVID-19. Compliance with shelter-in-place directives is individually costly and requires behavioral changes across diverse sub-populations. Leveraging county-day measures on population movement derived from cellphone location data and the staggered introduction of local mandates, we find that economic factors have played an important role in determining the level of compliance with local shelter-in-place ordinances in the US. Specifically, residents of low income areas complied with shelter-in-place ordinances less than their counterparts in areas with stronger economic endowments, even after accounting for potential confounding factors including partisanship, population density, exposure to recent trade disputes, unemployment, and other factors. Novel results on the local impact of the 2020 CARES Act suggest stimulus transfers that addressed economic dislocation caused by the COVID-19 pandemic significantly increased social distancing.
180 citations
University of Geneva1, University Medical Center Groningen2, University of Groningen3, McGovern Institute for Brain Research4, University of Pittsburgh5, University of Graz6, Northeastern University7, Massachusetts Institute of Technology8, University of Macau9, École Polytechnique Fédérale de Lausanne10, University of Texas at Austin11, University of Tübingen12, University of California, Los Angeles13, Boston University14, Maastricht University15, Charité16, Pontifical Catholic University of Chile17, Ottawa University18, University of Zurich19, University of Salzburg20, King's College London21, University of Lisbon22, Technion – Israel Institute of Technology23, University of California, San Diego24, Heidelberg University25, National Research University – Higher School of Economics26, Shanghai Normal University27, University of Bordeaux28, University of Münster29, University of Tennessee30, Duke University31, University of Western Ontario32, University of Würzburg33, University of Oldenburg34, Yale University35, Medical University of Vienna36, University of Sheffield37, University of Toulouse38, Brown University39, Eindhoven University of Technology40, Allen Institute for Brain Science41, Goldsmiths, University of London42, university of lille43, National Autonomous University of Mexico44, University of Otago45, Birkbeck, University of London46, University of Grenoble47, University of Greenwich48, Radboud University Nijmegen49, Aristotle University of Thessaloniki50, University of Surrey51, University of Bristol52
TL;DR: Over 80 neurofeedback researchers present a consensus-derived checklist – CRED-nf – for reporting and experimental design standards in the field.
Abstract: Neurofeedback has begun to attract the attention and scrutiny of the scientific and medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims to improve the reporting and experimental design standards in the field.
TL;DR: In this article, both prompt-like and long-lived dark photons, A^{'}, produced in proton-proton collisions at a center-of-mass energy of 13 TeV, were searched using a data sample corresponding to an integrated luminosity of 5.5
Abstract: Searches are performed for both promptlike and long-lived dark photons, A^{'}, produced in proton-proton collisions at a center-of-mass energy of 13 TeV. These searches look for A^{'}→μ^{+}μ^{-} decays using a data sample corresponding to an integrated luminosity of 5.5 fb^{-1} collected with the LHCb detector. Neither search finds evidence for a signal, and 90% confidence-level exclusion limits are placed on the γ-A^{'} kinetic mixing strength. The promptlike A^{'} search explores the mass region from near the dimuon threshold up to 70 GeV and places the most stringent constraints to date on dark photons with 214
TL;DR: In this article, an angular analysis of the B^{0}→K^{*0}(→K+}π^{-})μ^{+}μ^{-} decay is presented using a dataset corresponding to an integrated luminosity of 4.7 fb^{-1} of pp collision data collected with the LHCb experiment.
Abstract: An angular analysis of the B^{0}→K^{*0}(→K^{+}π^{-})μ^{+}μ^{-} decay is presented using a dataset corresponding to an integrated luminosity of 4.7 fb^{-1} of pp collision data collected with the LHCb experiment. The full set of CP-averaged observables are determined in bins of the invariant mass squared of the dimuon system. Contamination from decays with the K^{+}π^{-} system in an S-wave configuration is taken into account. The tension seen between the previous LHCb results and the standard model predictions persists with the new data. The precise value of the significance of this tension depends on the choice of theory nuisance parameters.
TL;DR: In this paper, an amplitude analysis of the LHCb proton-proton collision data was carried out using LHC b collision data taken at 7,8,$ and 13$ TeV, corresponding to a total integrated luminosity of 9 fb$^{-1}.
Abstract: Results are reported from an amplitude analysis of the $B^+\to D^+D^-K^+$ decay. The analysis is carried out using LHCb proton-proton collision data taken at $\sqrt{s}=7,8,$ and $13$ TeV, corresponding to a total integrated luminosity of 9 fb$^{-1}$. In order to obtain a good description of the data, it is found to be necessary to include new spin-0 and spin-1 resonances in the $D^-K^+$ channel with masses around 2.9 GeV$/c^2$, and a new spin-0 charmonium resonance in proximity to the spin-2 $\chi_{c2}(3930)$ state. The masses and widths of these resonances are determined, as are the relative contributions of all components in the amplitude model, which additionally include the vector charmonia $\psi(3770)$, $\psi(4040)$, $\psi(4160)$ and $\psi(4415)$ states and a nonresonant component.
TL;DR: This paper describes how the test-time argumentation prediction method is incorporated into two major segmentation approaches utilized in the single-cell analysis of microscopy images, and shows that even if only simple test- time augmentations are applied, TTA can significantly improve prediction accuracy.
Abstract: Recent advancements in deep learning have revolutionized the way microscopy images of cells are processed. Deep learning network architectures have a large number of parameters, thus, in order to reach high accuracy, they require a massive amount of annotated data. A common way of improving accuracy builds on the artificial increase of the training set by using different augmentation techniques. A less common way relies on test-time augmentation (TTA) which yields transformed versions of the image for prediction and the results are merged. In this paper we describe how we have incorporated the test-time argumentation prediction method into two major segmentation approaches utilized in the single-cell analysis of microscopy images. These approaches are semantic segmentation based on the U-Net, and instance segmentation based on the Mask R-CNN models. Our findings show that even if only simple test-time augmentations (such as rotation or flipping and proper merging methods) are applied, TTA can significantly improve prediction accuracy. We have utilized images of tissue and cell cultures from the Data Science Bowl (DSB) 2018 nuclei segmentation competition and other sources. Additionally, boosting the highest-scoring method of the DSB with TTA, we could further improve prediction accuracy, and our method has reached an ever-best score at the DSB.
TL;DR: Two distinct heartbeat-related influences on conscious perception differentially related to early vs. late somatosensory processing are identified and proposed, which might reflect spontaneous shifts between interoception and exteroception or modulations of general attentional resources.
Abstract: Even though humans are mostly not aware of their heartbeats, several heartbeat-related effects have been reported to influence conscious perception. It is not clear whether these effects are distinct or related phenomena, or whether they are early sensory effects or late decisional processes. Combining electroencephalography and electrocardiography, along with signal detection theory analyses, we identify two distinct heartbeat-related influences on conscious perception differentially related to early vs. late somatosensory processing. First, an effect on early sensory processing was found for the heartbeat-evoked potential (HEP), a marker of cardiac interoception. The amplitude of the prestimulus HEP negatively correlated with localization and detection of somatosensory stimuli, reflecting a more conservative detection bias (criterion). Importantly, higher HEP amplitudes were followed by decreases in early (P50) as well as late (N140, P300) somatosensory-evoked potential (SEP) amplitudes. Second, stimulus timing along the cardiac cycle also affected perception. During systole, stimuli were detected and correctly localized less frequently, relating to a shift in perceptual sensitivity. This perceptual attenuation was accompanied by the suppression of only late SEP components (P300) and was stronger for individuals with a more stable heart rate. Both heart-related effects were independent of alpha oscillations' influence on somatosensory processing. We explain cardiac cycle timing effects in a predictive coding account and suggest that HEP-related effects might reflect spontaneous shifts between interoception and exteroception or modulations of general attentional resources. Thus, our results provide a general conceptual framework to explain how internal signals can be integrated into our conscious perception of the world.
TL;DR: The EM7 countries demonstrated stronger endurance, withstanding the consequences of the crisis as compared to the G7 economies, and influenced health spending patterns in both groups, although they tended to diverge instead of converge in several important areas.
Abstract: Accelerated globalisation has substantially contributed to the rise of emerging markets worldwide. The G7 and Emerging Markets Seven (EM7) behaved in significantly different macroeconomic ways before, during, and after the 2008 Global Crisis. Average real GDP growth rates remained substantially higher among the EM7, while unemployment rates changed their patterns after the crisis. Since 2017, however, approximately one half of the worldwide economic growth is attributable to the EM7, and only a quarter to the G7. This paper aims to analyse the association between the health spending and real GDP growth in the G7 and the EM7 countries. In terms of GDP growth, the EM7 exhibited a higher degree of resilience during the 2008 crisis, compared to the G7. Unemployment in the G7 nations was rising significantly, compared to pre-recession levels, but, in the EM7, it remained traditionally high. In the G7, the austerity (measured as a percentage of GDP) significantly decreased the public health expenditure, even more so than in the EM7. Out-of-pocket health expenditure grew at a far more concerning pace in the EM7 compared to the G7 during the crisis, exposing the vulnerability of households living close to the poverty line. Regression analysis demonstrated that, in the G7, real GDP growth had a positive impact on out-of-pocket expenditure, measured as a percentage of current health expenditure, expressed as a percentage of GDP (CHE). In the EM7, it negatively affected CHE, CHE per capita, and out-of-pocket expenditure per capita. The EM7 countries demonstrated stronger endurance, withstanding the consequences of the crisis as compared to the G7 economies. Evidence of this was most visible in real growth and unemployment rates, before, during and after the crisis. It influenced health spending patterns in both groups, although they tended to diverge instead of converge in several important areas.
TL;DR: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017, and future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.
Abstract: Background Past research in population health trends has shown
that injuries form a substantial burden of population health loss.
Regular updates to injury burden assessments are critical. We report
Global Burden of Disease (GBD) 2017 Study estimates on morbidity
and mortality for all injuries.
Methods We reviewed results for injuries from the GBD 2017 study.
GBD 2017 measured injury-specific mortality and years of life lost
(YLLs) using the Cause of Death Ensemble model. To measure non-fatal
injuries, GBD 2017 modelled injury-specific incidence and converted
this to prevalence and years lived with disability (YLDs). YLLs and YLDs
were summed to calculate disability-adjusted life years (DALYs).
Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138)
injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554)
deaths in 2017, while age-standardised mortality decreased from 1079
(1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were
354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802)
new cases of injury globally, which increased to 520 710 288 (493
430 247 to 547 988 635) new cases in 2017. During this time, agestandardised incidence decreased non-significantly from 6824 (6534 to
7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017,
age-standardised DALYs decreased from 4947 (4655 to 5233) per
100 000 to 3267 (3058 to 3505).
Interpretation Injuries are an important cause of health loss
globally, though mortality has declined between 1990 and 2017.
Future research in injury burden should focus on prevention in highburden populations, improving data collection and ensuring access to
medical care.
Armenian National Academy of Sciences1, University of Copenhagen2, University of Bristol3, Trinity College, Dublin4, Mental Health Services5, National Research University – Higher School of Economics6, Lund University7, Uppsala University8, University of Cambridge9, Technical University of Denmark10, McGill University11, Tallinn University12, Museum and Institute of Zoology13, Moscow State University14, Norwegian University of Science and Technology15, University of Warsaw16, National Yunlin University of Science and Technology17, University of the Highlands and Islands18, National Academy of Sciences of Ukraine19, University of Oxford20, National Museum of Ireland21, Maria Curie-Skłodowska University22, Cardiff University23, Russian Academy of Sciences24, University of Foggia25, University of Oslo26, Paul Sabatier University27, Simon Fraser University28, University of Edinburgh29, Curtin University30, Aarhus University31, University of Gothenburg32, University of California, Berkeley33
TL;DR: It is concluded that the Viking diaspora was characterized by substantial transregional engagement: distinct populations influenced the genomic makeup of different regions of Europe, and Scandinavia experienced increased contact with the rest of the continent.
Abstract: The maritime expansion of Scandinavian populations during the Viking Age (about ad 750–1050) was a far-flung transformation in world history1,2. Here we sequenced the genomes of 442 humans from archaeological sites across Europe and Greenland (to a median depth of about 1×) to understand the global influence of this expansion. We find the Viking period involved gene flow into Scandinavia from the south and east. We observe genetic structure within Scandinavia, with diversity hotspots in the south and restricted gene flow within Scandinavia. We find evidence for a major influx of Danish ancestry into England; a Swedish influx into the Baltic; and Norwegian influx into Ireland, Iceland and Greenland. Additionally, we see substantial ancestry from elsewhere in Europe entering Scandinavia during the Viking Age. Our ancient DNA analysis also revealed that a Viking expedition included close family members. By comparing with modern populations, we find that pigmentation-associated loci have undergone strong population differentiation during the past millennium, and trace positively selected loci—including the lactase-persistence allele of LCT and alleles of ANKA that are associated with the immune response—in detail. We conclude that the Viking diaspora was characterized by substantial transregional engagement: distinct populations influenced the genomic makeup of different regions of Europe, and Scandinavia experienced increased contact with the rest of the continent. Ancient DNA analyses reveal that Viking Age migrations from Scandinavia resulted in differential influxes of ancestry to different parts of Europe, and the increased presence of non-local ancestry within Scandinavia.
01 Mar 2020
TL;DR: It is posited that cryptocurrencies may perform some useful functions and add economic value, but there are reasons to favor the regulation of the market, which would go against the original libertarian rationale behind cryptocurrencies.
Abstract: The papers in this special issue focus on the emerging phenomenon of cryptocurrencies. Cryptocurrencies are digital financial assets, for which ownership and transfers of ownership are guaranteed by a cryptographic decentralized technology. The rise of cryptocurrencies’ value on the market and the growing popularity around the world open a number of challenges and concerns for business and industrial economics. Using the lenses of both neoclassical and behavioral theories, this introductory article discusses the main trends in the academic research related to cryptocurrencies and highlights the contributions of the selected works to the literature. A particular emphasis is on socio-economic, misconduct and sustainability issues. We posit that cryptocurrencies may perform some useful functions and add economic value, but there are reasons to favor the regulation of the market. While this would go against the original libertarian rationale behind cryptocurrencies, it appears a necessary step to improve social welfare.
TL;DR: In this paper, the link between subjective well-being and productivity at the aggregate level, using a matched dataset from surveys and official statistics, was studied. And the results confirmed the evidence of a positive association between the variables of interest found at the individual and firm level, and support the view that promoting subjective wellbeing is not only desirable per se, but it is conducive to higher productivity and improved countries' economic performances.
Abstract: This article studies the link between subjective well-being and productivity at the aggregate level, using a matched dataset from surveys and official statistics. Well-being and productivity are measured, respectively, by life satisfaction and total factor productivity. The analysis, which applies non-parametric frontier techniques in a production framework, finds that life satisfaction generates significant productivity gains in a sample of 20 European countries. These results confirm the evidence of a positive association between the variables of interest found at the individual and firm level, and support the view that promoting subjective well-being is not only desirable per se, but it is conducive to higher productivity and improved countries’ economic performances.
TL;DR: In this paper, the authors examined what role entrepreneurship in Germany plays in achieving the German Sustainable Development Goals (SDGs) and found a very heterogeneous distribution of entrepreneurial activities along the goals, but also significant correlations between multiple goals that are frequently addressed jointly.
TL;DR: In this article, a model-independent analysis, using LHCb proton-proton collision data taken at centre-of-mass energies of $\sqrt{s}=7,8,$ and $13$ TeV, corresponding to a total integrated luminosity of 9 fb$^{-1}$, is carried out to test this hypothesis.
Abstract: The only anticipated resonant contributions to $B^+\to D^+D^-K^+$ decays are charmonium states in the $D^+D^-$ channel. A model-independent analysis, using LHCb proton-proton collision data taken at centre-of-mass energies of $\sqrt{s}=7,8,$ and $13$ TeV, corresponding to a total integrated luminosity of 9 fb$^{-1}$, is carried out to test this hypothesis. The description of the data assuming that resonances only manifest in decays to the $D^+D^-$ pair is shown to be incomplete. This constitutes evidence for a new contribution to the decay, potentially one or more new charm-strange resonances in the $D^-K^+$ channel with masses around 2.9 GeV$/c^2$.
TL;DR: Japan outperforms other countries from the sample in major healthcare performance indicators, while South Korea is ranked second and a strong negative association between GDP per capita and infant mortality in both sub-samples, although its impact is far larger in the OECD group.
Abstract: Purpose The goal of this study was to assess the effectiveness of healthcare spending among the leading Asian economies. Methods We have selected a total of nine Asian nations, based on the strength of their economic output and long-term real GDP growth rates. The OECD members included Japan and the Republic of Korea, while the seven non-OECD nations were China, India, Indonesia, Malaysia, Pakistan, the Philippines, and Thailand. Healthcare systems efficiency was analyzed over the period 1996-2017. To assess the effectiveness of healthcare expenditure of each group of countries, the two-way fixed effects model (country- and year effects) was used. Results Quality of governance and current health expenditure determine healthcare system performance. Population density and urbanization are positively associated with a healthy life expectancy in the non-OECD Asian countries. In this group, unsafe water drinking has a statistically negative effect on healthy life expectancy. Interestingly, only per capita consumption of carbohydrates is significantly linked with healthy life expectancy. In these non-OECD Asian countries, unsafe water drinking and per capita carbon dioxide emissions increase infant mortality. There is a strong negative association between GDP per capita and infant mortality in both sub-samples, although its impact is far larger in the OECD group. In Japan and South Korea, unemployment is negatively associated with infant mortality. Conclusion Japan outperforms other countries from the sample in major healthcare performance indicators, while South Korea is ranked second. The only exception is per capita carbon dioxide emissions, which have maximal values in the Republic of Korea and Japan. Non-OECD nations' outcomes were led by China, as the largest economy. This group was characterized with substantial improvement in efficiency of health spending since the middle of the 1990s. Yet, progress was noted with remarkable heterogeneity within the group.
TL;DR: In this paper, a study of the lineshape of the χc1(3872) and ψ(2S) mesons from b-hadron decays is made using a data sample corresponding to an integrated luminosity of 3'0fb-1 collected in pp collisions at center-of-mass energies of 7 and 8 TeV with the LHCb detector.
Abstract: A study of the lineshape of the χc1(3872) state is made using a data sample corresponding to an integrated luminosity of 3 fb-1 collected in pp collisions at center-of-mass energies of 7 and 8 TeV with the LHCb detector. Candidate χc1(3872) and ψ(2S) mesons from b-hadron decays are selected in the J/ψπ+π- decay mode. Describing the lineshape with a Breit-Wigner function, the mass splitting between the χc1(3872) and ψ(2S) states, Δm, and the width of the χc1(3872) state, ΓBW, are determined to be Δm=185.598±0.067±0.068 MeV,ΓBW=1.39±0.24±0.10 MeV, where the first uncertainty is statistical and the second systematic. Using a Flatte-inspired model, the mode and full width at half maximum of the lineshape are determined to be mode=3871.69-0.04-0.13+0.00+0.05 MeV,FWHM=0.22-0.06-0.13+0.07+0.11 MeV. An investigation of the analytic structure of the Flatte amplitude reveals a pole structure, which is compatible with a quasibound D0D¯*0 state but a quasivirtual state is still allowed at the level of 2 standard deviations.
TL;DR: In this article, the authors consider a random two-phase process which they call a reset-return one, and provide general expressions for the stationary probability density function of the particle's position and for the mean hitting time in one dimension.
Abstract: We consider a random two-phase process which we call a reset-return one. The particle starts its motion at the origin. The first, displacement, phase corresponds to a stochastic motion of a particle and is finished at a resetting event. The second, return, phase corresponds to the particle's motion toward the origin from the position it attained at the end of the displacement phase. This motion toward the origin takes place according to a given equation of motion. The whole process is a renewal one. We provide general expressions for the stationary probability density function of the particle's position and for the mean hitting time in one dimension. We perform explicit analysis for the Brownian motion during the displacement phase and three different types of the return motion: return at a constant speed, return at a constant acceleration with zero initial speed, and return under the action of a harmonic force. We assume that the waiting times for resetting events follow an exponential distribution or that resetting takes place after a fixed waiting period. For the first two types of return motion and the exponential resetting, the stationary probability density function of the particle's position is invariant under return speed (acceleration), while no such invariance is found for deterministic resetting, and for exponential resetting with return under the action of the harmonic force. We discuss necessary conditions for such invariance of the stationary PDF of the positions with respect to the properties of the return process, and we demonstrate some additional examples when this invariance does or does not take place.
TL;DR: A model for scaling up affordable access to effective STEM education through national online education platforms is proposed and evaluated and finds that online and blended instruction produce similar student learning outcomes as traditional in-person instruction at substantially lower costs.
Abstract: Meeting global demand for growing the science, technology, engineering, and mathematics (STEM) workforce requires solutions for the shortage of qualified instructors. We propose and evaluate a model for scaling up affordable access to effective STEM education through national online education platforms. These platforms allow resource-constrained higher education institutions to adopt online courses produced by the country's top universities and departments. A multisite randomized controlled trial tested this model with fully online and blended instruction modalities in Russia's online education platform. We find that online and blended instruction produce similar student learning outcomes as traditional in-person instruction at substantially lower costs. Adopting this model at scale reduces faculty compensation costs that can fund increases in STEM enrollment.
TL;DR: Results show that surprisingly, compared to L2, lexico-semantic processing in L1 involves a widespread system of cortico-subcortical regions, especially when L2 is acquired later in life, and points to a shared neural network for L1 and L2.
TL;DR: In this paper, the Konus-Wind detector was used to detect a hard X-ray event of April 28, 2020, temporarily coincident with a bright, two-peak radio burst with properties remarkably similar to those of fast radio bursts.
Abstract: Fast radio bursts are bright, millisecond-scale radio flashes of yet unknown physical origin. Recently, their extragalactic nature has been demonstrated, and an increasing number of the sources have been found to repeat. Young, highly magnetized, isolated neutron stars - magnetars - have been suggested as the most promising candidates for fast radio burst progenitors owing to their energetics and high X-ray flaring activity. Here we report the detection with the Konus-Wind detector of a hard X-ray event of April 28, 2020, temporarily coincident with a bright, two-peak radio burst with properties remarkably similar to those of fast radio bursts. The source of the radio burst is located in the direction to the Galactic magnetar SGR 1935+2154, which recently entered an active state. We show that a separation between two peaks of the double-peaked X-ray burst is nearly the same as that of the radio peaks, confirming that the X-ray and radio emission most likely have a common origin. Thus, this is the first simultaneous detection of a fast radio burst from a Galactic magnetar and its high-energy counterpart. The total energy emitted in X-rays in this burst is typical of bright short magnetar bursts, but its spiky light curve and an unusual hardness of the energy spectrum distinguish the April 28 event among multiple 'ordinary' flares detected from SGR 1935+2154 previously. This, and a recent non-detection of radio emission from two typical bright soft bursts from the same magnetar, may imply the existence of a special class of magnetar flares capable of producing fast radio bursts.
19 Oct 2020
TL;DR: Wang et al. as mentioned in this paper proposed a spatio-temporal graph attention (ST-GRAT) model for road traffic speed prediction, which takes the graph structure information (e.g., distance between roads) and dynamically adjusts spatial correlation based on road states.
Abstract: Predicting road traffic speed is a challenging task due to different types of roads, abrupt speed change and spatial dependencies between roads; it requires the modeling of dynamically changing spatial dependencies among roads and temporal patterns over long input sequences. This paper proposes a novel spatio-temporal graph attention (ST-GRAT) that effectively captures the spatio-temporal dynamics in road networks. The novel aspects of our approach mainly include spatial attention, temporal attention, and spatial sentinel vectors. The spatial attention takes the graph structure information (e.g., distance between roads) and dynamically adjusts spatial correlation based on road states. The temporal attention is responsible for capturing traffic speed changes, and the sentinel vectors allow the model to retrieve new features from spatially correlated nodes or preserve existing features. The experimental results show that ST-GRAT outperforms existing models, especially in difficult conditions where traffic speeds rapidly change (e.g., rush hours). We additionally provide a qualitative study to analyze when and where ST-GRAT tended to make accurate predictions during rush-hour times.