Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating Auctions with Externalities: The Case of USFS Timber Auctions

This paper studies how bidding strategies and auction outcomes are affected by downstream competition, particularly for USFS timber auctions. This is done by extending the auction estimation literature to a model where outside competition affects bidding behavior in that bidders are then not only concerned with whether they win the auction, but also the identity of the winner if it is not them. Applying the estimation technique to the case of timber auctions, I find that downstream competition in the lumber industry affects the bidding behavior of mill bidders, sometimes leading to the misallocation of timber tracts.
Increasing Lead Time and Granularity of Civil Unrest Prediction through Time Series Data

Surprise events such as Ferguson Uprising, October 2000 events in Israel, and Iraq’s invasion of Kuwait, can have critical impact on the society and people’s daily lives. Existing civil unrest prediction systems have so far relied on manually curated data sources and heuristic features determined by human expertise. Current research focuses on machine learning approaches which do not effectively use heterogeneous data sources reflecting varying time series data, and only pays little attention to unstructured text data. In this paper, we propose: (a) a novel approach to model structured and unstructured data, and (b) a predictive model which effectively exploits such data and predicts with increased lead time through LSTM networks. To the best of our knowledge, none of the existing work focused on both data types in the area of civil unrest prediction. Extensive experiments have been conducted on 2 different datasets for both country-level and city-level to illustrate the effectiveness of our model. Code and data is available on GitHub 1.
Research Paper: Erythropoietin Pretreatment Effect on Blood Glucose and Its Relationship With Inflammatory Factors After Brain Ischemic-Reperfusion Injury in Rats

* Corresponding Author: Hossein Mostafavi, PhD Address: Department of Physiology and Pharmacology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran. Tel: +98 (24) 33440286 E-mail: mostafavi73@gmail.com Introduction: Brain Ichemic-Reperfusion Injury (IRI) activates different pathophysiological processes. It also changes physiological parameters such as Blood Glucose (BG) level. An increase in BG after stroke is associated with poor clinical outcomes. Erythropoietin has been shown to be effective on both reducing inflammation and BG level. Therefore, in this study the erythropoietin pretreatment effect on BG and its relationship with inflammatory markers after brain IRI was investigated.
Generalized Refocusing: a Formalization in Coq

We report on a generalization of the refocusing procedure that provides a generic method for deriving an abstract machine from a speci cation of a reduction semantics satisfying simple initial conditions. The proposed generalization is applicable to a class of reduction semantics encoding hybrid strategies as well as uniform strategies handled by the original refocusing method. The resulting machine is proved to correctly implement the reduction strategy of the input semantics. The procedure and the correctness proofs have been formalized in the Coq proof system.
Inference in Predictive Quantile Regressions

This paper studies inference in predictive quantile regressions when the predictive regressor has a near-unit root. We derive asymptotic distributions for the quantile regression estimator and its heteroskedasticity and autocorrelation consistent (HAC) t-statistic in terms of functionals of Ornstein-Uhlenbeck processes. We then propose a switching-fully modified (FM) predictive test for quantile predictability with persistent regressors. The proposed test employs an FM style correction with a Bonferroni bound for the local-to-unity parameter when the predictor has a near unit root. It switches to a standard predictive quantile regression test with a slightly conservative critical value when the largest root of the predictor lies in the stationary range. Simulations indicate that the test has reliable size in small samples and particularly good power when the predictor is persistent and endogenous, i.e., when the predictive regression problem is most acute. We employ this new methodology to test the ability of three commonly employed, highly persistent and endogenous lagged valuation regressors - the dividend price ratio, earnings price ratio, and book to market ratio - to predict the median, shoulders, and tails of the stock return distribution.
PPG Signal Processing with Ensemble Empirical Mode Decomposition for Small Animals

Photoplepthysmography (PPG) is a simple and useful optical technique. It is widely used to assess arterial stiffness in human. Although the PPG applying widely used, there are only few studies investigated to use PPG in small animals. It may be due to the PPG signal drift. In this study, we proposed a simple and easily operated system which is consisted of acquisition of PPG signal and the signal processing with ensemble empitical mode decomposition method, in order to solve the drift of pulse wave in small animals via our system.
Search for a Suitable Numerical Model for Electrical Stimulation: From the Electric Double Layer to Electrokinetics, Confrontation with Impedance Measurements

Electrical Stimulation is widely used today for Deep Brain Stimulation treatments and retinal prostheses. At present, no experimental technique is available for measuring the distribution of the electric current delivered by electrodes inside tissues. Numerical simulation is a promising solution to investigate this question. The choice of the underlying mathematical model is the fundamental step for having a predictive tool. The Electrical Double Layer (EDL) formed between the electrode surface and the extracellular medium is considered through the linear Gouy-Chapman model and the nonlinear more realistic Modified Poisson Boltzmann model. The EDL is coupled to the bulk using the thin layer approximation. The bulk electric field distribution is computed from the electrokinetic equation, solved using both the complex and the temporal form. Numerical simulations, solved using Comsol Multiphysics, are compared with Electrochemical Impedance Spectroscopy (EIS) for a Medtronic 3389 DBS electrode and a Micro Electrode Array (MEA) retinal prosthesis immersed in a 137mM NaCl solution. The impedance measurementcalculation confrontation clearly shows that the EDL cannot be neglected for frequencies lower than the kHz. The full temporal electrokinetic equation is in better agreement than the complex one.
INTERACTIVE MULTIMEDIA APPLICATION FOR ONLINE LANGUAGE LEARNING

În această lucrare propunem o nouă soluţie interactivă, personalizată şi motivantă de a învăţa o limbă străină în timp ce urmăriţi emisiunea favorită în limba originală pe un dispozitiv mobil sau pe laptop. Scopul este crearea unei noi forme de conţinut audio-vizual interactiv video cu chestionar lingvistic care va estompa diferenţa dintre formatul academic de modă veche şi aşteptările noii generaţii, propunând conţinuturi foarte atrăgatoare şi interactive în scopul învăţării unei limbi străine.
Conflict-Free Coloring of Graphs | SIAM Journal on Discrete Mathematics | Vol. 32, No. 4 | Society for Industrial and Applied Mathematics

A conflict-free k-coloring of a graph assigns one of k different colors to some of the vertices such that, for every vertex v, there is a color that is assigned to exactly one vertex among v and v's neighbors. Such colorings have applications in wireless networking, robotics, and geometry and are well studied in graph theory. Here we study the natural problem of the conflict-free chromatic number \chi CF (G) (the smallest k for which conflict-free k-colorings exist). We provide results both for closed neighborhoods N [v], for which a vertex v is a member of its neighborhood, and for open neighborhoods N(v), for which vertex v is not a member of its neighborhood. For closed neighborhoods, we prove the conflict-free variant of the famous Hadwiger Conjecture: If an arbitrary graph G does not contain Kk+1 as a minor, then \chi CF (G) \leq k. For planar graphs, we obtain a tight worst-case bound: three colors are sometimes necessary and always sufficient. In addition, we give a complete characterization of the algorithmic/computational complexity of conflict-free coloring. It is NP-complete to decide whether a planar graph has a conflict-free coloring with one color, while for outerplanar graphs, this can be decided in polynomial time. Furthermore, it is NP-complete to decide whether a planar graph has a conflict-free coloring with two colors, while for outerplanar graphs, two colors always suffice. For the bicriteria problem of minimizing the number of colored vertices subject to a given bound k on the number of colors, we give a full algorithmic characterization in terms of complexity and approximation for outerplanar and planar graphs. For open neighborhoods, we show that every planar bipartite graph has a conflict-free coloring with at most four colors; on the other hand, we prove that for k \in \{ 1, 2, 3\} , it is NP-complete to decide whether a planar bipartite graph has a conflict-free k-coloring. Moreover, we establish that any general planar graph has a conflict-free coloring with at most eight colors.
Antileishmanial effect of Ixora coccinea leaf extracts on the in vitro growth of Leishmania donovani promastigotes

INTRODUCTION Leishmaniasis is a wide spread life-threatening disease caused by protozoa of genus Leishmania transmitted by sandflies. According to available estimates of World Health Organization (WHO), the disease is spread across 88 countries causing serious health problems especially in developing countries with 350 million at risk of contracting the disease and with approximately 2 million new cases being reported each year. The three main manifestations of disease are visceral, cutaneous and muco-cutaneous leishmaniasis. Visceral leishmaniasis (VL), also known as kala-azar is caused by L. donovani. More than 90% of world’s cases of VL are reported in India, Bangladesh, Nepal, Sudan, Brazil and Ethiopia. In India, most of the leishmaniasis cases are reported in Bihar, Orissa and Uttar Pradesh states. Cutaneous and muco-cutaneous leishmaniases are more prevalent in Afganistan, Saudi Arabia and some Latin American countries. [1-4] Proven therapies against human leishmaniasis include pentavalent antimonials (sodium stibogluconate and meglumine antimoniate), amphotericin B, pentamidine, and paromomycin[5, 6]. The mentioned drugs have the disadvantages of high cost, lack of oral formulation (e. g., amphotericin B can be used only intravenously), or serious side effects that require close monitoring of the patients. [6] Also, rapid development of resistance by the parasites has been reported, [7-9] so that new therapies are needed to supplement or replace currently available therapies. More recently, emergence of co-infection of leishmaniasis with HIV has made the treatment even more challenging. [10] Traditional medicine worldwide is being re-evaluated by extensive research on different plant species and their therapeutic principles. The major merits of herbal medicine seem to be their perceived efficacy, low incidence of serious adverse effects and low cost. Ixora coccinea L. (Rubiaceae), commonly known as jungle geranium and jungle flame in English, Rangan in Bengali, is an evergreen shrub found throughout India. The flowers, leaves, roots, and the stem are used to treat various ailments in the Indian traditional system of medicine, and also in various folk medicines. The fruits, when fully ripe, are used as a dietary source. Pharmacological studies report that the plant Research Article
Repression of SOX6 transcriptional activity by SUMO modification

SOX6 plays key functions in several developmental processes, including neurogenesis and skeleton formation. In this report, we show that SOX6 is modified in vitro and in vivo by small ubiquitin-related modifier (SUMO) on two distinct sites. Mutation of both sites abolished SOX6 sumoylation and increased SOX6 transcriptional activity. SUMO dependent repression of SOX6 transcription was promoted by UBC9 whereas siRNA to UBC9, cotransfection of inactive UBC9 or a SUMO protease increased SOX6 transcriptional activity. Furthermore, co-expression of SOX6 with SUMO2 results in the appearance of SOX6 in a punctate nuclear pattern that colocalized with promyelocytic leukemia protein, which was partially abolished by mutations in SOX6 sumoylation sites. 2006 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
Balthazar Ct Severity Index versus Apache 2 Score in Predicting the Severity of Acute Pancreatitis

Background: Acute pancreatitis has a variable clinical presentation. Due to the potential of catastrophic deterioration, early assessment of severity is essential. Various clinical scoring systems are available to assess severity of pancreatitis. Extent of pancreatic necrosis has been correlated with fatal outcome in the past few years 3, 4, . There is a need to evaluate the efficacy of clinical scoring system versus CT severity index to triage the patient into intensive care. Objective: To compare the efficacy of Balthazar CT severity index versus APACHE 2 score in predicting the severity of acute pancreatitis. Material and methods: A retrospective, cross sectional, analytical study was done on 30 patients over past 2 years. Clinical features, laboratory investigations, CT abdomen reports including the Balthazar CT severity index were obtained from the medical records department. Patients were categorised into mild, moderate and severe acute pancreatitis based on revised Atlanta classification. APACHE 2 scores were compared with CT severity indices. The data was analysed by AVOVA and ROC. Results: Patients were categorised into mild moderate and severe acute pancreatitis. 60% of the patients had moderate acute pancreatitis according. Mild and severe cases accounted for 16% and 23% respectively. Analysis of variance with Kruskalwallis test, with 95% confidence limits was highly significant (p=0.00). Multiple Comparisons with Mannwihtney test correlated significantly with severe pancreatitis (p= 0.00). On analysing APACHE 2 scores with the Revised Atlanta severity classification, it correlated significantly on Kruskalwallis between 95% confidence limits (p= 0.018). However multiple comparisons with Mannwihtney test correlated significantly with severe pancreatitis (p= 0.01) but failed to correlate with mild pancreatitis. ROC curves were used to analyse modality of choice for each category of acute pancreatitis. Area under the curve was used to determine cut off points of significance along with sensitivity and specificity. CT severity index was a better modality for mild and moderate and APACHE 2 was a better modality for severe pancreatitis. Conclusions: CT severity index is a better predictor of severity of acute pancreatitis. APACHE 2 score correlates better with severe acute pancreatitis.
Individual differences in the perception of probability

In recent studies of humans estimating non-stationary probabilities, estimates appear to be unbiased on average, across the full range of probability values to be estimated. This finding is surprising given that experiments measuring probability estimation in other contexts have often identified conservatism: individuals tend to overestimate low probability events and underestimate high probability events. In other contexts, repulsive biases have also been documented, with individuals producing judgments that tend toward extreme values instead. Using extensive data from a probability estimation task that produces unbiased performance on average, we find substantial biases at the individual level; we document the coexistence of both conservative and repulsive biases in the same experimental context. Individual biases persist despite extensive experience with the task, and are also correlated with other behavioral differences, such as individual variation in response speed and adjustment rates. We conclude that the rich computational demands of our task give rise to a variety of behavioral patterns, and that the apparent unbiasedness of the pooled data is an artifact of the aggregation of heterogeneous biases.
Centrality dependence of charged-neutral particle fluctuations in 158A GeV Pb+Pb collisions

Results on the study of localized fluctuations in the multiplicity of charged particles and photons produce 158A GeV/c Pb+Pb collisions are presented for four different centrality classes. The charged versus neutral particle multiplicity correlations in common phase space regions of varying azimuthal size are analyzed by two different methods. Various types of mixed events are constructed to probe fluctuations arising from different sources. The measured results are compared to those from simulations and from mixed events. The comparison indicates the presence of non-statistical fluctuations in both the charged particle and photon multiplicities in limited azimuthal regions which decrease with decrease in centrality. However, no correlated charged-neutral fluctuations, a possible signature of formation of disoriented chiral condensates, are observed. An upper limit on the production of disoriented chiral condensates has been set.
Purvis p 53 Dynamics Control Cell Fate

clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): April 30, 2013 www.sciencemag. org (this information is current as of The following resources related to this article are available online at
Lean austenitic type 16 . 8 . 2 stainless steel weld metal

This paper reviews the unusual combination of properties found in nominally 16Cr-8Ni-2Mo weld metals. These properties include excellent high temperature microstructural stability, high resistance to hot cracking at very low ferrite (FN) levels, and good cryogenic toughness. Some of these characteristics and virtues appear to be largely overlooked or neglected. It is worth noting that no reference to 16.8. 2 weld metal appears in Folkard's standard text on the welding metallurgy of stainless steels.
3D STRATIFIED ATMOSPHERIC FLOW MODELING

This contribution considers the influence of stra tification on incompressible flow for low values of Reynolds numbers. As a test problem, 3D cavity flow is modeled and the results compared with those published previously. The influ ence of stratification is also examined in the case of flow past an obstacle locat ed inside a channel. The flow and intensity of stra tific tion are characterized by the Reynolds number Re and the Froude number F , respectively. The Froude number, which determines th stability of the stratified flow (the ratio of buoyancy to the inertia force), is the inv erse of the Richardson number Ri. For Ri of 0.1–10.0, both forces contribute to the flow structure, and the flow can be considered as mixed convection. The employed model consists of the Navi er–Stokes equations with the Boussinesq approximation, the continuity equation i n the form for incompressible fluid flow, and the p rognostic equation for fluctuations in potential temperature. Conservative high-order meth ods are used to solve the system of equations. The adv ction terms are reconstructed using the fifth-order WENO scheme and temporal evol uti n is solved by application of the explicit TVD (total variation diminishing) Runge–Kutta scheme. Near the borders of the obstacl e wal functions are employed. We also comment on t he application of TVD and nonTVD Runge–Kutta temporal integration.
Sleep Deprivation and CSF Biomarkers for Alzheimer Disease

Authors: Martin Olsson, MD1,2,3,4; Johan Ärlig, MD1,2,3; Jan Hedner, MD, PhD3,4; Kaj Blennow, MD, PhD1,2; *Henrik Zetterberg, MD, PhD1,2,5,6. *Corresponding author: Martin Olsson, MD, Sahlgrenska University Hospital Contact information: E-mail: martin.v. olsson@vgregion.se Address and Postal code: Neurochemistry, House V, Sahlgrenska University Hospital, SE-431 80, Mölndal Telephone: (0046) 733161657, Fax: (0046) 031 34 32 426 Authors’ affiliations: 1Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden 2Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden 3Center for Sleep and Vigilance Disorders, Department of Internal medicine, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden 4Sleep Laboratory, Pulmonary Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden 5Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK 6UK Dementia Research Institute, London, UK
Enabling double-spending detection in a pair-based ledger

The development of blockchain, along with the creation of Bitcoin, opened the road to the first digital currency that is secure against double-spending without the need for a trusted authority or centralized server. The architecture of traditional blockchain structures like the one used in Bitcoin is, however, not very scalable because of its limiting slow global consensus mechanism. To address this limitation multiple paths have been explored and one of these is represented by Trustchain. Its architecture is based on a pair-based ledger system; where pairs of nodes register their transactions on entangled blocks stored in local, immutable and ordered chain. This technology guarantees high transaction throughput but has a big drawback; it is not possible to actively prevent fraudulent operations like double-spending but only to detect them a posteriori. The goal of this thesis is to research and evaluate mechanisms that can be implemented to reduce the detection time of this fraudulent activity, in a system like Trustchain. The first strategy involve relying on global dissemination, but this is quite inefficient. The second one uses anonymous auditing and localized dissemination to better perform regarding efficiency, at a small expense in terms of transaction duration. The performance improvements are confirmed by simulations. If compared to the existing mechanism, the second proposed solutions achieved double-spending detection in just a fraction of the original time at a cost of a small overhead. Umeer A. Mohammad Delft, 26 November 2019
A Data Model for EPC Information Services

The RFID system with the capability for unique itemlevel tracking promises a tremendous change in the automation process of identifying, managing and tracking commodities along supply chains. One of the heaviest burdens in the RFID system is laid on its repository that has to handle an enormous amount of timestamped RFID data that are generated continuously from many complex relationships. This motivates us to propose an event-based data model for EPC Information Service (EPCIS) repository that reduces the data volume and handles well all kinds of entity relationships. We also exploit both object-relational and relational strength to make data rich in semantics and build a generalization hierarchy of events to answer successfully queries about historical events recommended by EPCGlobal’s EPCIS specification.