Miracle-dz/UniFAR-FTUs huggingface dataset:
Cyber Attack Resilient Distance Protection and Circuit Breaker Control for Digital Substations

This paper proposes new concepts for detecting and mitigating cyber attacks on substation automation systems by domain-based cyber–physical security solutions. The proposed methods form the basis of a distributed security domain layer that enables protection devices to collaboratively defend against cyber attacks at substations. The methods utilize protection coordination principles to cross check protection setting changes and can run real-time power system analysis to evaluate the impact of the control commands. The transient fault signature (TFS)-based cross-correlation coefficient algorithm has been proposed to detect the false sampled values data injection attack. The proposed functions were verified in a hardware-in-the-loop (HIL) simulation using commercial relays and a real-time digital simulator (RTDS). Various types of cyber intrusions are tested using this test bed to evaluate the consequences and impacts of cyber attacks to power grid as well as to validate the performance of the proposed research-grade cyber attack mitigation functions.
Academias de la lengua española frente a guías de lenguaje no sexista: un problema de delimitación de competencias

espanolEn los ultimos anos en Espana se ha debatido mucho sobre la cuestion del sexismo linguistico y sobre hasta que punto es conveniente o no impulsar lo que se ha denominado un lenguaje inclusivo. A lo largo de este articulo se mostrara como en el fondo de este debate lo que subyace es una disputa por la supremacia sobre la lengua espanola y sus hablantes, motivado por el conflicto de competencias entre academias de la lengua por un lado e instituciones politico-sociales encaminadas a la politica y planificacion linguisticas que se sirven de guias y manuales de estilo por el otro. Tanto las unas como las otras cumplen una determinada funcion, aunque en los ultimos anos gran parte de la sociedad no haya tenido claro cual es esta verdaderamente. Esta incertidumbre no ha hecho mas que generar confusion entre los propios hablantes a la hora de afrontar el problema del sexismo linguistico. EnglishDuring the last years in S pain the l inguistic sexism t opic and to what extent is it convenient or not to promote what has been called an inclusive language have been largely debated. Throughout this article we will prove that what lies beneath at the bottom of this debate is a bat t le for the supremacy over the Span ish language and its speakers . This battle has been caused by the competency conflict among academies of language on the one hand and political and social institutions focused on the linguistic policy and planning, which m ake use of style guides , on the other hand. Both of them fulfill a particular function, even though during the las t years a big part of society has been unsure about what this function really is. This uncertainty has only generated confusion in the own spe akers when they have to face the linguistic sexism matter
Surveillance des consommations d’antibiotiques et des résistances bactériennes dans les établissements de santé avec l’outil ConsoRes : analyse des données de l’année 2013

La resistance bacterienne aux antibiotiques constitue un enjeu mondial de sante publique lie engrande partie a l’utilisation des antibiotiques. Afin de maitriser l’emergence et la diffusion des souchesbacteriennes resistantes aux antibiotiques, differentes institutions (ANSM, HAS, CCLIN.) menentune politique de « juste usage des ATB ». Dans cette optique, le CCLIN de l’inter-region Est adeveloppe un outil web : ConsoRes qui permet le recueil, le suivi et l’analyse des consommationsd’antibiotiques ainsi que l’evolution des resistances bacteriennes a chaque niveau fonctionnel d’unetablissement de sante.Notre etude a consiste en l’evaluation des consommations d’antibiotiques et des resistancesbacteriennes des etablissements de sante de cinq regions selectionnees inscrites a ConsoRes.Differentes analyses ont ete realisees : par region de facon individuelle et groupee dans un premiertemps, puis de maniere comparative en fonction de l’existence ou non d’un reseau en antibiologie.Pour l’ensemble des regions selectionnees, les penicillines sont les antibiotiques les plusfrequemment utilises, suivis des quinolones et des C3G. Concernant les molecules critiquesd’utilisation « courante », l’amoxicilline associee a l’acide clavulanique reste l’associationd’antibiotiques la plus frequemment utilisee suivie par l’amoxicilline et la ceftriaxone. D’importantesdifferences de consommation d’antibiotiques et de resistances bacteriennes entre regions sontconstatees. Cependant des analyses sur un plus grand nombre d’etablissement de sante serontnecessaires afin de confirmer ces resultats. Ce travail a egalement permis de constater que lesconsommations d’antibiotiques sont significativement inferieures dans le groupe incluant les regionsdotees d’un reseau en antibiologie. Un impact favorable des reseaux en antibiologie est ainsi mis enavant.Ces resultats temoignent de l’utilite des reseaux en antibiologie et des strategies desurveillances. Nous pouvons envisager qu’a terme les surveillances des consommationsd’antibiotiques et des resistances bacteriennes deviennent obligatoires dans tous les etablissements desante. L’obtention des donnees de consommation d’antibiotiques et de resistances bacteriennes, entemps reel, en utilisant, l’outil ConsoRes permettrait la mise en place d’actions correctrices cibleesafin de favoriser un meilleur et un moindre usage des antibiotiques.
ENERGY INSECURITY, ECONOMIC GROWTH, AND THE ROLE OF RENEWABLE ENERGY: A CROSS-COUNTRY PANEL ANALYSIS

Many countries rely on the international energy market as their main energy supplier, thus leading to issues of insecurity. Energy insecurity can potentially hinder economic growth and cause sustainability problems. This paper builds on cross-country panel data and estimates the relationship between energy insecurity and economic growth. We explore the multi-dimensional feature of energy insecurity through energy dependency, renewable energy share, and price effects. Our results show statistically significant negative impacts on growth due to energy insecurity, but the effects are mostly relevant to developing economies. Moreover, we show that the development renewable energy sector can mitigate the negative effects.
Algorithms for reducing reconfiguration overheads using prefetch, reuse, and optimal mapping of tasks

Field Programmable Gate Arrays (FPGAs) are preferred in the modern embedded system to accelerate the performance of the entire system. However, the FPGAs are liable to suffer from reconfiguration overheads. These overheads are mainly because of the configuration data being fetched from the off‐chip memory at run‐time and due to the improper management of tasks during execution. To reduce these overheads, two algorithms are proposed. Both the algorithms focus on the prefetch heuristics, reuse technique, and an optimal mapping of tasks over the available memories. However, in terms of reusing technique, algorithm‐1 uses least recently used (LRU) policy and algorithm‐2 uses the optimal replacement policy (considering the vitality of the reconfigurable units (RUs)). Simulation results are obtained for both the algorithms. It is evident from the result that most of the reconfiguration overheads are eliminated when the applications are managed and executed based on the proposed algorithms. Also, the two algorithm results are compared and analyzed. For this purpose, the experiments included smaller and larger task graphs. In the case of smaller task graphs, algorithm‐2 outperforms algorithm‐1 in reducing reconfiguration overheads. In larger task graphs, algorithm‐1 produces better results compared to algorithm‐2.
China-Africa Political and Security Relations: An Analysis of Forum on China-Africa Cooperation (FOCAC) Documents

There has been a tremendous growth in China-Africa relations in the last twenty years. As part of this growth political and security links between them have also grown. In the security sphere statements issued by FOCAC have consistently called for greater African representation in the UN Security Council. During the last two decades or so China’s substantive involvements in African security have been through UN and AU peacekeeping operations and the multinational antipiracy effort off Somalia in the Gulf of Aden. Using Shinn and Eisenman’s Optimist-Pessimist dual framework this paper will analyze contemporary China-Africa political and security relations with a particular focus on documents produced by the Forum on China-Africa Cooperation (FOCAC). It will employ an interpretive methodology to analyze FOCAC documents. This analysis will both substantiate and problematize the Optimist and Pessimist perspectives that make up the framework. It identifies zero-sum thinking as a weakness common to key postulates of both the perspectives. In the Optimist perspective China provides Africa with a political counterweight to the West. In the Pessimist perspective the strengthening of China-Africa relations constitutes an unwelcome challenge to the West in Africa. In both cases the gain of one party results in a loss for another party. In the first case Africa’s gain results in a loss for the West, and in the second case China’s gain results in a loss for the West. In order to rectify this weakness this paper calls for greater non-zero sum thinking in responding to the growing China-Africa relationship aimed at realizing joint gains for all parties. It argues that the cooperation between China and Africa is not aimed at challenging the contemporary world order led by the West but rather at improving their position within it. Keywords— China, Africa, FOCAC
Residential segregation and school segregation of foreign students in Barcelona

This article examines the dynamics of the relationship between residential and school segregation in Barcelona. The analysis explores which educational and non-educational drivers foster the school segregation of foreign students between the city’s neighbourhoods. The article also analyses to what extent the particularities of Barcelona’s admissions policy, which combines catchment areas with high levels of school choice, generate specific mechanisms of contextually bound school segregation within the local education market. The results confirm that residential segregation and educational segregation are two interrelated phenomena in Barcelona. In addition, the supply of publicly subsidised private schooling in the neighbourhoods is a main factor driving both educational segregation and isolation, especially in those neighbourhoods with a high concentration of foreign pupils. Based on the results, the article elaborates on the challenges for local education policymaking to address the dynamics of school segregation in urban spaces.
Unobserved Ties between Corporate Executives and Mutual Fund Managers

After corporate executives relocate from origin firms to destination firms, only 3.6 percent of mutual fund managers follow the departing executives: they divest from origin firms while initiating investments in destination firms. This phenomenon is more pronounced for those funds that earned superior returns from investments in the origin firms, and that demand more information regarding the destination firms. Further, comigration funds&#8217; holding changes in destination firms more accurately predict cumulative abnormal returns around earnings announcements than do their investments in other stocks and non&#8208;comigration funds&#8217; new investments. Hiring the migrating executives does not improve the destination firms&#8217; operating performance.
Audit report lag determinants: a panel data regression model with all companies listed on the Dow Jones Stock Index

This study aims to analyse the determinants of audit report lag (ARL) in companies listed on the Dow Jones Stock Index and identify whether the companies audited by an auditing firm with expertise in the audited sector have a lower ARL than the others. We applied a panel data regression model with all companies listed on the Dow Jones Stock Index. We collected data from several variables, during the years from 2013 to 2017. We collected the data at the website of each company, in the reference forms and in the standardised financial statements. Other data we collected at the website Edgar Online. We started with the hypothesis that companies audited by expert auditors have a lower ARL than the other companies. The importance of this research lies in the fact that reducing the ARL enables the disclosure of financial statements in time and facilitates the investors' decision-making process.
Improving the portfolio insurance strategy of Binck Bank : a quantitative analysis of (dynamic) multipliers

This paper derives and investigates different dynamic proportion portfolio insurance strategies, and compares them to the each other, and the CPPI strategy in terms of risk, return and transaction costs. The strategies and results can be useful to portfolio managers. The performance of the strategies is back-tested with using a rolling analysis. Thereafter, the practical implications, equity allocation, gap risk and validity of the best performing model(s) are assessed. It has been found that the dynamic proportion portfolio insurance strategy with a multiplier based solely on volatility outperforms the other assessed strategies and the original CPPI strategy. Moreover, this strategy has no drawback in terms of gap risk or practical implications.
Using Multiple Imperfect Diagnostic Automation

by to in on can their level of trust using either a component-specific or a system-wide trust This study tests these two theories. 36 participants monitored two gauges, each with an automated aid at different reliability levels, while engaged in a pursuit tracking task that simulated an unmanned aerial vehicle (UAV) mission flight. The data suggest that participants do not evaluate the reliability of each gauge independently (i.e. component-specific trust), but instead combine their experience from each automation aid and derive one overall perceived reliability value for the entire system consistent with the system-wide trust hypothesis.
Monocular vision avoidance method based on fully convolutional networks

Visual obstacle avoidance is a practical application of machine vision technology. With the development of unmanned and artificial intelligence, visual obstacle avoidance technology has become a research hotspot, because the avoiding obstacle is an indispensable ability for robots to explore the unknown world. The traditional methods often rely on edge detection or feature point extraction, which has poor robustness and is difficult to meet practical applications. Convolutional neural networks (CNNs) shine in a variety of machine vision problems (image classification, target detection, image segmentation, image generation, etc.), showing an obviously robustness over traditional algorithms. Based on this, this paper proposes a method to solve the task of avoiding obstacle by using the Fully convolutional networks (FCNs) to extract accessible area. This paper also proves the robustness and effectiveness of the method through a series of experiments.
Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods: Overcoming the Curse of Dimensionality

We develop a new approach using market-level data to model, identify, and estimate a dynamic discrete choice demand model for durable goods with continuous unobserved product-specific state variables. They are specified as serially correlated and correlated with the observed product characteristics, particularly price. We provide a method to estimate all model primitives, including the consumer’s discount factor and the state transition distributions of unobserved product characteristics without the need to reduce the dimension of the state space or by other approximation techniques, such as discretizing state variables. We prove the identification of model primitives and provide an estimation algorithm in which the most computationally demanding step is a linear regression. Finally, we show how it can be implemented in an application in which we estimate the demand for smartphones.
Design School Propositions Re-Draft

The design manifesto has a long history [1] next to those of the artists and political moments with which they have been associated. Despite the changing forms of practice, technologies and platforms in which designers are active, manifestoes still find an important role in new and varied ways [2]. Manifestoes will most often reflect the political and organizational tendencies of those that created them and the establishing and codifying the direction and responsibilities of the Design School at the London College of Communication went through several modes of articulation before its unveiling at London Design Festival 2018.
Recognition and Pose Estimation of Auto Parts for an Autonomous Spray Painting Robot

The autonomous operation of industrial robots with minimal human supervision has always been in high demand. To prepare the autonomous operation of a car part spray painting robot, novel object detection, and pose estimation algorithms have been developed in this paper. The object detection part used principal components analysis (PCA) to reduce the dimension of three-dimensional (3-D) point cloud to 2-D binary image. Distance measure between the auto and cross correlation of the binary features was established to find out the similarity between them. Resultantly, the type of auto part was successfully obtained. Furthermore, iterative closest point (ICP) algorithm was used to estimate the pose difference of the auto part with respect to the camera reference frame, which was mounted on the robot. An issue with ICP's lack of robustness to local minimum was solved by the combination of ICP and genetic algorithm (GA). This allowed the optimization of pose error and addressed the problem of local minimum entrapment in ICP. For experimental validation: the proposed object recognition pipeline was implemented in both serial and parallel programming paradigms. The results were obtained for the acquired point clouds of side body car parts and compared with the major 3-D object detection systems in terms of computational cost. Pose estimation error was calculated with both ICP and the modified point set registration schemes, and it was shown to be decreasing in the case of later. All shown results supported the research claims.
An image-based optical flow approach to determine vehicle's lateral position

The use of rumble strips on roads has proven to be an effective means of providing drivers lane departure warning (LDW). However, rumble strips require an infrastructure and do not exist on a majority of roadways. Therefore, it is desired to develop an effective virtual rumblestrip LDW system. Before developing such a system, it is essential that we know the vehicle’s lateral characteristics; in particular, the vehicle’s lateral position and speed. In this paper, we focus on using image processing via an in-vehicle camera to estimate the vehicle’s lateral position and speed. The lateral position is determined by finding the vehicle’s heading angle via a homography and the Lucas-Kanade optical flow techniques; while the lateral speed is determined via the heading angle and the vehicle’s On Board Diagnostic (OBD)-II forward speed data. This paper describes our approach and findings in some detail together with suggested improvements. The advantage of our approach is that only the minimal set of information to characterize the vehicle lateral characteristics is needed and thus, making it more feasible in a vehicle application.
PHM oriented behavior modeling for PEM fuel cell systems via delayed feedback reservoir computing model

In this paper, a framework named model space based PHM design is proposed for PEM fuel cell systems. The objective is to address the PHM problem in consideration of the various operating conditions and system dynamics. In this frame, modeling of fuel cell systems is realized via a type of black box model named Delayed Feedback Reservoir Computing Model (DFRCM). The modeling and the PHM performance is validated using experimental data.
Development of a Genomic Resource and Identification of Nucleotide Diversity of Yellow Perch by RAD Sequencing

Yellow perch (Perca favescens) is an important native North American fish in ecology and aquaculture. However, molecular markers are minimal for this species, especially those with genome-wide distribution. Single sequence repeat markers are always developed based on sequences from a single individual, which is time consuming with a low success rate. In this study, combining data from HiSeq and MiSeq platforms, we applied restriction site-associated DNA sequencing (RAD-Seq) to yellow perch geographic demes to develop large numbers of polymorphic genetic markers, including single nucleotide polymorphisms and simple sequence repeats, and to evaluate nucleotide diversity. A total of 258,056 contigs were assembled with the length of 605 ± 71 (mean ± SD) bp, which were longer than those just using HiSeq data. Nucleotide diversity (π) was 0.00304 with 95% confidence intervals from 0.00303 to 0.00304. Based on the assembled sequences, a total of 59,766 perfect single sequence repeats were detected, with AC/GT being the most common repeat motif and GC being the rarest. Based on this breeding population, 41,736 high-quality single nucleotide polymorphisms and 10,412 polymorphic single sequence repeats were obtained. Validation of amplification by randomly selecting 40 polymorphic single sequence repeats showed a high success rate (85%). Our approach for polymorphic single sequence repeats development enables new usage of data from RAD-seq techniques. These developed markers could be used in finfish broodstock management, genetic improvement and resource conservation, and would contribute to sustainable development of fisheries and the aquaculture industries.
Piperlongumine, a Novel TrxR1 Inhibitor, Induces Apoptosis in Hepatocellular Carcinoma Cells by ROS-Mediated ER Stress

Hepatocellular carcinoma (HCC) is the sixth most common cancer and the third leading cause of cancer-related deaths globally. Despite advances in diagnosis and treatment, the incidence and mortality of HCC continue to rise. Piperlongumine (PL), an alkaloid isolated from the fruit of the long pepper, is known to selectively kill tumor tissues while sparing their normal counterparts. However, the killing effects of PL on HCC and the underlying mechanism of PL are not clear. We report that PL may interact with thioredoxin reductase 1 (TrxR1), an important selenocysteine (Sec)-containing antioxidant enzyme, and induce reactive oxygen species (ROS)-mediated apoptosis in HCC cells. Our results suggest that PL induces a lethal endoplasmic reticulum (ER) stress response in HCC cells by targeting TrxR1 and increasing intracellular ROS levels. Notably, PL treatment reduces TrxR1 activity and tumor cell burden in vivo. Additionally, TrxR1 is significantly upregulated in existing HCC databases and available HCC clinical specimens. Taken together, these results suggest PL as a novel anticancer candidate for the treatment of HCC. More importantly, this study reveals that TrxR1 might be an effective target in treating HCC.