Miracle-dz/UniFAR-FTUs huggingface dataset:
A resistance bridge based on a cryogenic current comparator targeting sub-$10^{-9}$ measurement uncertainties

A new resistance bridge has been built at the Laboratoire national de m\'etrologie et d'essais (LNE) to improve the ohm realization in the \emph{Syst\`eme International} (SI) of units from the quantum Hall effect. We describe the instrument, the performance of which relies on the development of two synchronized and noise filtered current sources, an accurate and stable current divider and a cryogenic current comparator (CCC) having a low noise of $\mathrm{80~pA.t/Hz^{1/2}}$. As targeted, the uncertainty budget for the measurement of the 100 $\Omega/(R_\mathrm{K}/2)$ ratio, where $R_\mathrm{K}$ is the von Klitzing constant, amounts to a few parts in $10^{10}$ only.
Ieee Projects 100% Working Code + Documentation+ Explaination – Best Price on False Data-injection Attacks against Power System State Estimation: Modeling and Countermeasures

It is critical for a power system to estimate its operation state based on meter measurements in the field and the configuration of power grid networks. Recent studies show that the adversary can bypass the existing bad data detection schemes,posing dangerous threats to the operation of power grid systems. Nevertheless, two critical issues remain open: 1) how can an adversary choose the meters to compromise to cause the most significant deviation of the system state estimation, and 2) how can a system operator defend against such attacks? To address these issues, we first study the problem of finding the optimal attack strategy—i.e., a data-injection attacking strategy that selects a set of meters to manipulate so as to cause the maximum damage. We formalize the problem and develop efficient algorithms to identify the optimal meter set. We implement and test our attack strategy on various IEEE standard bus systems, and demonstrate its superiority over a baseline strategy of random selections. To defend against false data-injection attacks, we propose a protection-based defense and a detection-based defense, respectively. For the protection-based defense, we identify and protect critical sensors and make the system more resilient to attacks. For the
Synergistic Team Composition

Effective teams are crucial for organisations, especially in environments that require teams to be constantly created and dismantled, such as software development, scientific experiments, crowd-sourcing, or the classroom. Key factors influencing team performance are competences and personality of team members. Hence, we present a computational model to compose proficient and congenial teams based on individuals' personalities and their competences to perform tasks of different nature. With this purpose, we extend Wilde's post-Jungian method for team composition, which solely employs individuals' personalities. The aim of this study is to create a model to partition agents into teams that are balanced in competences, personality and gender. Finally, we present some preliminary empirical results that we obtained when analysing student performance. Results show the benefits of a more informed team composition that exploits individuals' competences besides information about their personalities.
Parton-Hadron-Quantum-Molecular Dynamics (PHQMD)-A Novel Microscopic N-Body Transport Approach for Heavy-Ion Collisions, Dynamical Cluster Formation and Hypernuclei Production

J. Aichelin, E. Bratkovskaya, A. Le Fèvre, V. Kireyeu, V. Kolesnikov, Y. Leifels and V. Voronyuk 1 SUBATECH, Université de Nantes, IMT Atlantique, IN2P3/CNRS 4 rue Alfred Kastler, 44307 Nantes cedex 3, France 2 Frankfurt Institute for Advanced Studies, Ruth Moufang Str. 1, 60438 Frankfurt, Germany 3 GSI Helmholtzzentrum für Schwerionenforschung GmbH, Planckstr. 1, 64291 Darmstadt, Germany 4 Institut für Theoretische Physik, Johann Wolfgang Goethe-Universität, Max-von-Laue-Str. 1, 60438 Frankfurt am Main, Germany and 5 Joint Institute for Nuclear Research, Joliot-Curie 6, 141980 Dubna, Moscow region, Russia (Dated: July 10, 2019)
Comportamiento Tribológico de Aluminio Sinterizado y Desgastado Bajo Distintas Condiciones.

El desgaste es uno de los danos mas costosos para la industria y las investigaciones buscan entender los mecanismos del desgaste que podrian disminuirlo o evitarlo. Este trabajo analiza el comportamiento del aluminio obtenido por metalurgia de polvos cuando se somete a desgaste. Las muestras usadas fueron preparadas bajo diversas condiciones de proceso (presion de la compactacion, la temperatura y tiempode tratamiento termico). Las pruebas de desgaste se realizaron en una maquina de pin-en-disco y fueron probados diferentes valores de velocidad y presion de desgaste. Los resultados obtenidos muestran el comportamiento tribologico del aluminio. Se presenta tambien un estudio comparativo entre una aleacion de aluminio 356 y aluminio puro, demostrandose la viabilidad de lograr un comportamiento tribologico similar entre esta aleacion convencional y el aluminio puro preparado por metalurgia de polvos.
A Background-Subtracted Search for Annual Modulation in CDMS II

Author(s): Speller, Danielle | Advisor(s): Sadoulet, Bernard | Abstract: The identification of dark matter is one of the outstanding problems of our time. Cos- mological and astrophysical clues such as structure formation and relic densities, anomalous galaxy rotation curves, and mass density profiles provide ample evidence of an undetected mass component of the universe. Meanwhile, recent advancements in particle physics point toward extensions to the Standard Model, many of which posit candidates for new particles and new physics at the weak scale and beyond. If, as expected, the confluence of the hints of new physics in particle physics, astrophysics, and cosmology at the weak scale is more than coincidence, the detection of dark matter will pave the way for a paradigm shift in our fundamental understanding of the universe.Weakly interacting massive particles (WIMPs), in particular, are a well-motivated class of candidates for particle dark matter. Naturally predicted in supersymmetry (SUSY), WIMPs are stable, weakly-interacting, and produced in sufficient abundance to comprise the quantity of missing mass in a number of simple cases. Over the last two decades of experimentation, significant areas of the parameter space defined by the simplest SUSY theories have been ruled out, but WIMPs and related particles remain compelling candidates for dark matter searches.Several avenues for the detection and identification of dark matter are currently being pursued. The present work is a description of the search for a direct detection of super- symmetric dark matter via scattering from standard model particles. The Cryogenic Dark Matter Search (CDMS) Experiment uses ionization and athermal phonon sensor technolo- gies to achieve event-by-event discrimination of electron and nuclear recoils in cryogenic germanium crystal detectors. At low energies, where the the ability to discriminate individ- ual nuclear recoil events from background is reduced, a periodic variation of the rate and crossover signatures in the energy spectrum can aid the identification of a WIMP signature in the presence of significant backgrounds. In general, the direct detection of dark matter is the first step toward the identification and classification of dark matter in the universe.This work describes a background-subtracted search for annual modulation in the WIMP- search data acquired in the Cryogenic Dark Matter Search II (CDMS II) Experiment, which was the second implementation of the highly successful CDMS technology. We observe no significant modulation in the 2.7 keVnr to 11.9 keVnr (nuclear-recoil-equivalent) energy range selected for this analysis. These results are not compatible with a WIMP dark matter interpretation of the signals reported by the DAMA/LIBRA and CoGeNT experiments, and provide complementary support to earlier CDMS low-threshold germanium analyses.
Treatment outcome of tuberculosis patients at Adare general Hospital,Hawassa, Southern Ethiopia (A five year retrospective study)

Objective This institution based retrospective study was conducted to determine the treatment outcome of TB patients and investigate and associated risk factors among TB patients registered at Adare general Hospital, Southern Ethiopia. Result Among 1122 cases 620 (55.3%) were male, 748(66.7%) were from urban areas, 319 (28.4%) were smear positive, 352 (31.4%) were smear negative and 451 (40.2%) were extra pulmonary patients. Of the 1122 284 (25.3%) were cured, 753(67.1%) completed treatment, 29(2.6%) defaulted, 53(4.7%) died and 3 (0.3%) had treatment failure. The overall mean treatment success rate was 92.4%. The risk of unsuccessful TB treatment outcome was significantly higher among TB patients from rural areas (AOR = 0.435, 95% CI: 0.279, 0.679); patients with extra pulmonary TB (AOR = 0.877, 95% CI; 0.671, 1.146), and HIV positive TB patients (AOR = 5.478, 95% CI; 3.474, 8.639) were more likely to have poor treatment outcomes as compared to their counter parts. Key words: TB treatment outcome, Tuberculosis, DOTS, Treatment success rate.
Vulnerability analysis in Complex Networks under a Flood Risk
Reduction point of view

Abstract. The measurement and mapping of transportation network vulnerability constitute subjects of global interest. During a flood, some elements of a transportation network can be reached, causing damages directly (to people, vehicles and roads/streets) and indirect damages (services) with great economic impacts. The Complex Networks approach may offer a valuable perspective considering one type of vulnerability especially related to Disaster Risk Reduction on critical infrastructures: the topological vulnerability. The topological vulnerability index associated to an element in a graph is defined as the damage (variation) on the network’s average efficiency due to the removal of that element. We have performed a topological vulnerability analysis to the highways in the state of Santa Catarina (Brazil), and produced a risk map considering that index and the flood susceptible areas. Our results can represent an important tool for stakeholders from the transportation sector.
Gamma Regression Model Estimation Using Bootstrapping Procedure

Gamma regression is a member of generalized liner models and often used when the phenomenon under study is skewed and the mean is proportional to the standard deviation. It can find applications in several areas such as life-testing problems, forecasting cancer incidences, weather extremes and quality control. Also it is a natural candidate when modeling the variance and it has been increasingly used over the past decade. paper attempts to introduce readers with the concept of the gamma regression model, in which the dependent variable has the gamma distribution, and the use of the paired bootstrapping resampling associated with the "boot" package in R program. Three confidence intervals were computed.
Cross-correlation in a turbulent flow: Analysis of the velocity field using the ρDCCA coefficient

The stochastic process of a turbulent flow in a pipeline provides a time series of the velocity field at any point of the domain by solving numerically the Navier-Stokes equation. The turbulent flow was produced by obstacles near the inlet, injecting eddies into the current. Moving downstream, these eddies evolve to a fully turbulent flow. Many length and time scales are involved in this process. We explore the cross-correlations of the velocity field time series at different points and also at different time scales using the detrended cross-correlation coefficient, ρDCCA, designed to analyze the cross-correlations in non-stationary time series. Thus, the results with ρDCCA allow interpreting how these eddies propagate downstream, and also quantify how adherent the velocity fields are with respect to the pipeline position.
CORONARY ARTERY DISEASE Original Studies Development of a High-Volume, Multiple-Operator Program for Percutaneous Chronic Total Coronary Occlusion Revascularization: Procedural, Clinical, and Cost-Utilization Outcomes

Background: Development of a specialized chronic total coronary occlusion (CTO) revascularization program attentive to procedural guidelines, quality oversight, and cost/resource utilization has not been described. Methods: A single-center CTO interventional program was initiated with requirements including: extensive didactic training, on-site proctorship, routine determination of case appropriateness, adherence to procedural safety guidelines, and a 2-operator/case approach. Clinical and angiographic characteristics, procedural outcomes, in-hospital clinical events, and cost/resource utilization were examined. Results: Among 145 patients, 160 consecutive CTO revascularization procedures were attempted between October 2009 and December 2010. Selected procedural and technical characteristics included: bilateral femoral access, 90.0%; planned retrograde guidewire placement, 37.5%; re-entry catheter, 10.0%; reattempt, 10.6%; fluoroscopic time, 67.4 6 45.5 min; contrast volume, 403 6 215 mL. Average stent number and total stent length per CTO vessel were 2.6 6 1.1 and 64.7 6 30.7 mm, respectively. Overall CTO success rate was 85.6% (137/ 160). In-hospital adverse outcomes included: death 0.6%; emergency bypass surgery, 0.6%; tamponade, 0.6%; myocardial infarction, 1.9%; transient nephropathy, 1.2%. Compared with patients undergoing non-CTO PCI, procedural and total cost per patient were significantly higher among the CTO cohort despite overall similar contribution margins ($5,173 6 12,052 versus $5,730 6 8,958, P 5 0.58). Conclusions: Following initiation of a dedicated program with implementation of quality and performance guidelines, complex CTO revascularization may be safely performed with outcomes comparable with reports from established centers. Despite higher resource utilization, CTO revascularization is associated with a positive contribution margin. Requirement of educational and performance standards, mentorship from experts, consensus review for appropriateness and provision of catheterization laboratory policies may represent a model for program development. VC 2013 Wiley Periodicals, Inc.
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research, Supplementary Material vatex.org

Multilingual Video Captioning To preprocess the videos, we sample each video at 25fps and extract the I3D features [2] from these sampled frames. The I3D model is pretrained on the original Kinetics training dataset [3] and used here without fine-tuning. Both the English and Chinese captions are truncated to a maximum of 30 words. Note that we use the segmented Chinese words1 rather than raw Chinese characters. The vocabularies are built with a minimum word count 5, resulting in around 11, 000 English words and about 14, 000 Chinese words. All the hyperparameters are tuned on the validation sets and same for both English and Chinese caption training. The video encoder is a bi-LSTM of size 512 and the decoder LSTM is of size 1024. The dimensions of the word embedding layers are 512. All models are trained using MLE loss and optimized using Adam optimizer [4] with a batch size 256. We adopt Dropout for regularization. The learning rate is initially set as 0.001 and then halted when the current CIDEr score does not surpass the previous best for 4 epochs. Schedule sampling [1] is employed to train the models. At test time, we use beam search of size 5 to report the final results.
Acute and Subchronic Toxicity Studies of Swertiamarin A lead Compound Isolated from Enicostemma Littorale .blume in wistar rats

Diabetes mellitus (DM) is a chronic disease caused by inherited or acquired deficiency in insulin secretion and/or by decreased responsiveness of the organs to insulin, is currently one of the most costly and burdensome diseases and affects about 5% of the global population with diabetic complications. Traditional herbal medicine has been widely used for disease treatment and is recognized as an interesting alternative to conventional medicine. Even natural herbal drugs are toxic above a certain concentration and hence it is essential to find out the effective concentration of the drug. Hence the amount of this swertiamarin to be administered in diabetic rats is an important factor in treatment of diabetes mellitus. Thus the assessment of effective dosage of the drug for fixing the dose is the most essential step in deciding the optimum activity of the drug. Inorder to achieve the optimum dosage, acute and subchronic toxicity studies of swertiamarin in Wistar rats was performed.
An improved penalty immersed boundary method for multiphase flow simulation

An improved version of the penalty immersed boundary method is proposed for simulating multiphase flows with nonuniform density and moving interface. The background fluid with a uniform density is solved on the fixed Eulerian grid, while the excessive mass is modelled by the Lagrangian points. Both the positive and negative density differences are taken into account, and the surface tension is included in the formulation. For validation of the present method, the Rayleigh‐Taylor instability problem and deformation of a droplet in a simple shear flow are computed. The numerical results are compared with the previous studies and the spatial accuracy is between the first and second order. Convergence of the computational results as the penalty coefficient increases is obtained. Furthermore, interaction of the fluid‐fluid interface with the rigid surface is also considered. To improve the numerical stability, the reinitialization operation is introduced to guarantee the quality of the Lagrangian mesh. As a demonstrating example, a droplet bypassing an obstacle in a channel flow is tested.
Perfect matroids over hyperfields

A hyperfield H is stringent if a‘b is a singleton unless a “ ́b, for all a, b P H. By a construction of Marc Krasner, each valued field gives rise to a stringent hyperfield. We show that if H is a stringent skew hyperfield, then weak matroids over H are strong matroids over H. Also, we present vector axioms for matroids over stringent skew hyperfields which generalize the vector axioms for oriented matroids and valuated matroids.
Freedom from Want: The Human Right to Adequate Food

List of Tables and Figures Foreword by Jean Ziegler Acknowledgments Introduction: Taking Rights Seriously Part I. Foundations Chapter 1. Food and Nutrition Malnutrition Causes of Malnutrition Growth Measurement Numbers of Malnourished People Malnutrition and Mortality Comparative Morality Food and Nutrition Security Varieties of Government Action Chapter 2. The International Human Rights System Historical Foundations International Humanitarian Law The International Bill of Human Rights Children's Rights Regional Human Rights Agreements Human Rights Agencies United Nations Charter Bodies United Nations Treaty Bodies Civil Society Organizations Informal Civil Society Chapter 3. Adequate Food is a Human Right Economic, Social, and Cultural RightsFood in International Human Rights Law Food in International Humanitarian Law Global Declarations and Commitments General Comment 12The Special RapporteurThe Voluntary Guidelines Part II. Human Rights Systems Chapter 4. Human Rights, Governance, and Law Human Rights and Governance Studying Human Rights in National Governance The Role of National LawUniversal Human Rights and the Role of International Law Chapter 5. Rights/Entitlements DefinitionMoral versus Legal RightsSoft versus Hard RightsRights as Goals Rights Imply EntitlementsDetermining Local EntitlementsHaving versus Realizing Rights Chapter 6. Obligations and Commitments Moral Responsibilities When Do Governments Do Human Rights Work? Levels of Government ObligationEconomic Rights The Obligation of Good Governance Obligations of Nonstate Actors Questionable Charity Chapter 7. Accountability MechanismsVarieties of Accountability Justiciability Remedies for Rights Holders National and Local Human Rights AgenciesAccountability through Public Action Chapter 8. India The Supreme Court Case Starvation is Not the Problem The Missing Piece in India's Rights SystemThe Tamil Nadu Integrated Nutrition Project Chapter 9. Brazil Chapter 10. The United States Chapter 11. Feeding InfantsBreast-Feeding RightsInfants' Human Right to Adequate Food Principles Women's Right to Breast-Feed versus Infants' Right to be Breast-Fed Chapter 12. Feeding Infants of HIV-Positive Mothers Official Guidance on HIV/AIDS and Infant Feeding Issues A Court Case Informed Choice Principles Chapter 13. Water The Household Water Problem Water Rights are DifferentGeneral Comment 15 Chapter 14. TradeIssues The Human Right to Adequate Food in Relation to Trade Reconciling Different Frameworks Food Sovereignty Chapter 15. RefugeesIssues in Refugee NutritionExplanations and Justifications for Uneven ServicesThe Human Right to Adequate FoodThe Adequacy QuestionSpecifying the ObligationsLimiting the ObligationsThe Work Ahead Chapter 16. International Humanitarian AssistanceIssuesRights to AssistanceThe Provider's Motivation Implementation Chapter 17. Global Human RightsGlobal Rights and Global ObligationsGlobal Accountability Strategic Planning Sources ReferencesIndex
A multiwavelength study of massive galaxy disks across cosmic time

For quite some time the understanding of the origin and evolution of the Universe has been a very hot topic not only for the academic community but also for the general public. From the Cosmology, we got information about how space expanded and how the large-scale structures of the Universe came to be, how the galaxies gathered into clusters, superclusters, and filaments. Since Hubble’s discovery the Universe of the galaxies, we have gathered knowledge about how the galaxies formed, evolved and interact. Galaxies increase their masses through collision. The simulations show that the outcome of a collision depends on the mass of each of the galaxies. If the mass of both galaxies is similar, the result is an elliptical galaxy. This leaves two questions: How do massive disk galaxies appear? How is it possible that we have them in the Local Universe (z=0) ? With this work, we aim to shed light on how the population of galaxies evolved from z=3 up to the Local Universe, paying special attention to their structural parameters like mass and size. To accomplish that we rely on data from galaxy surveys like 3D-HST/CANDELS and Huertas-Company work. On a first approach, these catalogs may give an idea of this evolution. One of our objectives is to gain experience with the software package LePHARE, as we produce our estimates of redshift, mass, along with other parameters.
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport

Hamiltonian Monte Carlo (HMC; Duane et al., 1987; Neal, 2011) is an Markov chain Monte Carlo (MCMC) algorithm that is well suited to sampling from high-dimensional distributions. It introduces a set of auxiliary variables that let one generate Metropolis-Hastings proposals (Metropolis et al., 1953; Hastings, 1970) by simulating the dynamics of a fictional Hamiltonian physical system. However, HMC is not a silver bullet. When the geometry of the target distribution is unfavorable, it may take many evaluations of the log-probability of the target distribution and its gradient for the chain to mix between faraway states (Betancourt, 2017).