793 research outputs found

    NLO QCD corrections to single vector-like top partner production in association with top quark at the LHC

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    The single vector-like top partner hadroproduction in association with top quark in the five and the six-flavour schemes at the LHC is investigated. The inclusive cross section and the differential distributions are evaluated for many benchmark scenarios at leading and next-to-leading orders, both for fixed-order and fixed-order matched to parton shower. The associated Higgs production with a top quark pair, where the final state arises from the decay of the vector-like top partner into a Higgs boson and a top quark, is examined

    Stable One-Dimensional Integral Representations of One-Loop N-Point Functions in the General Massive Case: I - Three Point Functions

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    In this article we provide representations for the one-loop three point functions in 4 and 6 dimensions in the general case with complex masses. The latter are part of the GOLEM library used for the computation of one-loop multileg amplitudes. These representations are one-dimensional integrals designed to be free of instabilites induced by inverse powers of Gram determinants, therefore suitable for stable numerical implementations.Comment: 40 pages, 1 figur

    A Generalized Framework for Ontology-Based Information Retrieval Application to a public-transportation system

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    In this paper we present a generic framework for ontology-based information retrieval. We focus on the recognition of semantic information extracted from data sources and the mapping of this knowledge into ontology. In order to achieve more scalability, we propose an approach for semantic indexing based on entity retrieval model. In addition, we have used ontology of public transportation domain in order to validate these proposals. Finally, we evaluated our system using ontology mapping and real world data sources. Experiments show that our framework can provide meaningful search results

    Foreign Direct Investment (FDI) and Governance: The Case of MENA

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    Is there a relationship between Foreign Direct Investment (FDI) and governance practiced in a given country? To answer this question we used the econometrics of panel data for the MENA region (11 countries) during the period 1996-2014. The results of the econometric estimation show seven variables that are statistically significant, namely the Gross Domestic Product (economic risk variable), the current account balance as% of GDP (economic risk variable), the domestic investment rate (economic risk variable), external debt (financial risk variable), the debt service as percentage of exports (financial risk variable), the functioning of the state (variable governance) and corruption (governance variable). While different parts of the world are competing to further attract FDI, countries in the MENA region need to conduct adequate policies oriented towards improving the business climate and good governance to benefit from these funding streams deemed less expensive

    Giving in Transition and Transitions in Giving: Philanthropy in Egypt, Libya and Tunisia 2011-2013

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    This publication explores how shifts in the sociopolitical environment in Egypt, Libya and Tunisia manifested themselves in the philanthropic realm during an uncertain mid-point in the transitions. To what extent have both institutional and informal philanthropy evolved to keep up with the pace of escalating needs and expectations of the people? As those shifts continue in all three countries, with variations to be explored in each country chapter, the report encourages actors in the sector to take bolder steps from diagnostics to action

    The Determinants of Agricultural Exports: Empirical Validation for the Case of Tunisia

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    In this investigation, we attempt to identify and to examined the determinants of agricultural exports in Tunisia. To achieve this aim, we used annual data for the period 1972 – 2017 and seven ad hoc specifications. Empirical results of each specification show us that gross domestic product in the agricultural sector, agricultural imports, bank loans to the agricultural sector and imports of agricultural machinery have a positive effect on agricultural exports in the long run. Conversely, domestic investment in the agricultural sector and the exploitation of agricultural land have a negative effect on agricultural exports in the long term. In the short term, only domestic investments in the agricultural sector cause agricultural exports. Findings and interpretations provide evidence that is very substantial to inspire validity planning and reforms to ameliorate agricultural investment and agricultural trade, so it can uphold economic development in Tunisia

    Thermal-Hydraulic Analysis of SWAMUP Facility Using ATHLET-SC Code

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    During the loss of coolant accident (LOCA) of supercritical water cooled reactor (SCWR), the pressure in the reactor system will undergo a rapid decrease from the supercritical pressure to the subcritical condition. This process is called trans-critical transients, which is of crucial importance for the LOCA analysis of SCWR. In order to simulate the trans-critical transient, a number of system codes for SCWR have been developed up to date. However, the validation work for the trans-critical models in these codes is still missing. The test facility Supercritical WAter MUltiPurpose loop (SWAMUP) with 2×2 rod bundle in Shanghai Jiao Tong University (SJTU) will be applied to provide test data for code validation. Some pre-test calculations are important and necessary to show the feasibility of the experiment. In this study, trans-critical transient analysis is performed for the SWAMUP facility with the system code ATHLET-SC, which is modified in SJTU, for supercritical water system. This paper presents the system behavior e.g. system pressure, coolant mass flow, cladding temperature during the depressurization. The effects of some important parameters such as heating power, depressurization rate on the system characteristics are also investigated in this paper. Additionally, some sensitivities study of the code models, e.g. heat transfer coefficient, CHF correlation, are analyzed and discussed. The results indicate that the revised system code ATHLET-SC is capable of simulating thermal hydraulic behavior during the trans-critical transient. According to the results, the cladding temperature during the transient is kept at a low value. However, the pressure difference of the heat exchanger after depressurization could reach 6 MPa, which should be considered in the experiment

    UMD: Unsupervised Model Detection for X2X Backdoor Attacks

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    Backdoor (Trojan) attack is a common threat to deep neural networks, where samples from one or more source classes embedded with a backdoor trigger will be misclassified to adversarial target classes. Existing methods for detecting whether a classifier is backdoor attacked are mostly designed for attacks with a single adversarial target (e.g., all-to-one attack). To the best of our knowledge, without supervision, no existing methods can effectively address the more general X2X attack with an arbitrary number of source classes, each paired with an arbitrary target class. In this paper, we propose UMD, the first Unsupervised Model Detection method that effectively detects X2X backdoor attacks via a joint inference of the adversarial (source, target) class pairs. In particular, we first define a novel transferability statistic to measure and select a subset of putative backdoor class pairs based on a proposed clustering approach. Then, these selected class pairs are jointly assessed based on an aggregation of their reverse-engineered trigger size for detection inference, using a robust and unsupervised anomaly detector we proposed. We conduct comprehensive evaluations on CIFAR-10, GTSRB, and Imagenette dataset, and show that our unsupervised UMD outperforms SOTA detectors (even with supervision) by 17%, 4%, and 8%, respectively, in terms of the detection accuracy against diverse X2X attacks. We also show the strong detection performance of UMD against several strong adaptive attacks.Comment: ICML 202
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