Miracle-dz/UniFAR-FTUs huggingface dataset:
La importancia del regionalismo en la política comercial argentina frente a la globalización

El trabajo plantea la alternativa de procurar, ampliar, a la vez que profundizar la inserción de la economía argentina en los flujos internacionales de comercio e inversión. Se reseñan especialmente estrategias implementadas por el país, sus perpectivas de integración preferencial con el bloque latinoamericano del MERCOSUR, por un lado, y por otro, las posibilidades de comerciar con países como Estados Unidos y Canadá a través del ALCA y con la UE.
Superelastic semi‐active damping of a base‐isolated structure

A hybrid base isolation system that is composed of linear elastomeric bearings (EB), friction‐pendulum bearings (FPB), shape memory alloy (SMA) wires, and magnetorheological (MR) dampers is proposed for the mitigation of seismic motions. Each subcomponent of the isolation system is employed for a unique task in managing superstructure response when ground motions are experienced. EB are provided to couple the superstructure and substructure in the vertical direction while partially decoupling the superstructure from lateral ground motion. FPB provide support for gravity loads and a restoring force when base drifts become large. SMA wires supply recoverable hysteretic behavior and serve as an additional restoring force. Finally, MR dampers provide variable viscous damping that can be altered in real time for intelligent amelioration of superstructure response. Neuro‐fuzzy techniques are incorporated to model SMA and MR elements. A fuzzy logic controller is generated using a multi‐objective genetic algorithm for optimal modulation of MR damper resistance levels.
Seismic Performance Evaluation of Facilities: Methodology and Implementation

Performance-based earthquake engineering aims to quantify performance of facilities using metrics that are of immediate use to both engineers and stakeholders. A rigorous yet practical implementation of a performance-based earthquake engineering methodology is developed and demonstrated for an idealized building. The methodology considers seismic hazard, structural response, resulting damage, and repair costs associated with restoring the building to its original condition, using a fully consistent, probabilistic analysis of the associated parts of the problem. The methodology can be generalized to consider other performance measures such as casualties and down time, though these have not been pursued. The proposed procedure is consistent with common building design, construction, and analysis practices such that it can be readily adopted in earthquake engineering practice today.
Radio Network Planning and Optimisation for Umts

From the Publisher: Radio Network Planning and Optimisation for UMTS comprehensively explains how to dimension, plan and optimise UMTS networks. It introduces the properties of the spread spectrum system and provides a general overview of the physical layer of UTRA FDD. The radio network planning process for WCDMA is clearly presented and detailed information on how to dimension, plan and rollout a 3G network, both theoretically and practically is provided. This valuable text examines current and future radio network management issues and their impact on network performance as well as the relevant capacity and coverage enhancement methods. Authoritative and instructive, this text will have instant appeal to wireless operators and network and terminal manufacturers. It will also be essential reading for university students, frequency regulation bodies and everyone interested in radio network planning and optimisation, especially RF network systems engineering professionals.
Direct Time-of-Flight Single-Photon Imaging

This article provides a tutorial introduction to the direct Time-of-Flight (dToF) signal chain and typical artifacts introduced due to detector and processing electronic limitations. We outline the memory requirements of embedded histograms related to desired precision and detectability, which are often the limiting factor in the array resolution. A survey of integrated CMOS dToF arrays is provided highlighting future prospects to further scaling through process optimization or smart embedded processing.
A 3D Printed Nearly Isotropic Luneburg Lens Antenna for Millimeter-Wave Vehicular Networks

A three-dimensional (3D) printed Luneburg lens with nearly isotropic properties is presented. The cubical-lattice-type and the rod-type gradient-index materials are employed together to construct the novel printable spherical lens geometry, whose nearly isotropic properties improve the antenna radiation characteristics significantly. The dual-polarized radiation beam generated by the lens antenna can steer in a wide angular range with stable performance throughout a wide operating band. A prototype with an equivalent radius of 16.8 mm is printed and measured in the Ka-band. An impedance bandwidth of more than 40% for |S11| of less than −17.5 dB, a gain of up to 21.3 dBi, and promising radiation patterns with the dual polarization scanning in an angular range of ±60° are obtained experimentally. With the advantages of satisfying operating performance and ease of realization, the lens investigated in this paper would be an attractive candidate for the wireless applications in millimeter-wave vehicular networks.
¿Qué es la economía? Una disciplina política para el mundo real

La economía es una disciplina política que trata los problemas de la organización social y del bien general, coevoluciona con las circunstancias y es históricamente contingente. El mundo al que se dirigen las políticas económicas es un sistema complejo, pero los economistas que buscan elaborar políticas apropiadas se guían necesariamente por simplificaciones y heurísticas. La pregunta que enfrenta la disciplina es qué tipo de simplificación se adapta mejor a la tarea. Este artículo argumenta que las generalizaciones, simplificaciones, heurísticas y principios apropiados se deben derivar del estudio del mundo real. Aunque pueden emplear herramientas matemáticas y aprovechar ideas del comportamiento de los sistemas matemáticos, estos son inadecuados, en especial cuando parten de los dogmas muertos de la corriente neoclásica: ex nihilo nihil fit.
Autoimmune Diseases of Digestive Organs—A Multidisciplinary Challenge: A Focus on Hepatopancreatobiliary Manifestation

It is well known that some pathological conditions, especially of autoimmune etiology, are associated with the HLA (human leukocyte antigen) phenotype. Among these diseases, we include celiac disease, inflammatory bowel disease, autoimmune enteropathy, autoimmune hepatitis, primary sclerosing cholangitis and primary biliary cholangitis. Immunoglobulin G4-related diseases (IgG4-related diseases) constitute a second group of autoimmune gastrointestinal, hepatobiliary and pancreatic illnesses. IgG4-related diseases are systemic and rare autoimmune illnesses. They often are connected with chronic inflammation and fibrotic reaction that can occur in any organ of the body. The most typical feature of these diseases is a mononuclear infiltrate with IgG4-positive plasma cells and self-sustaining inflammatory response. In this review, we focus especially upon the hepatopancreatobiliary system, autoimmune pancreatitis and IgG4-related sclerosing cholangitis. The cooperation of the gastroenterologist, radiologist, surgeon and histopathologist is crucial for establishing correct diagnoses and appropriate treatment, especially in IgG4 hepatopancreatobiliary diseases.
Vacuum Leak Detection Method Using Index Regression and Correction for Semiconductor Equipment in a Vacuum Chamber

In semiconductor manufacturing, fault detection is an important method for monitoring equipment condition and examining the potential causes of a fault. Vacuum leakage is considered one of the major faults that can occur in semiconductor processing. An unnecessary O2 and N2 mixture, a major component of the atmosphere, creates unexpected process results and hence drops in yield. Vacuum leak detection systems that are currently available in the vacuum industry are based on helium mass spectrometers. They are used for detecting the vacuum leakage at the sole isolation condition where the chamber is fully pumped but cannot be used for in situ detection while the process is ongoing in the chamber. In this article, a chamber vacuum leak detection method named Index Regression and Correction (IRC) is presented, utilizing common data which were gathered during normal chamber operation. This method was developed by analyzing a simple list of data, such as pressure, the temperature of the chamber body, and the position of the auto pressure control (APC), to detect any leakages in the vacuum chamber. The proposed method was experimentally verified and the results showed a high accuracy of up to 97% when a vacuum leak was initiated in the chamber. The proposed method is expected to improve the process yield of the chamber by detecting even small vacuum leakages at very early stages of the process.
Computation of Unsteady Low Reynolds Number Free-Flight Aerodynamics of Flapping Wings

The observation that thrust is produced when a wing flaps above a particular reduced frequency at low Reynolds numbers has been associated with the formation of a reverse Karman vortex street. Through experiments, numerical computations, and analytical methods, scientists have been able to explain thrust generation in birds and insects. This has increased the interest in the development of micro aerial vehicles. There is, however, a paucity of experimental or computational studies that explain the basic mechanism of thrust generation from the viewpoint of the surrounding vortical structures and the effect of these vortices on free flight when the wing is accelerating in the direction of thrust. In the present work, three-dimensional free-flight computations are carried out on flapping wings that have rectangular planforms composed of NACA 0012 and an elliptical airfoil section, respectively, to demonstrate that thrust is generated as a result of vortex asymmetry. Based on the computed vortex dynamics, it is also shown that the relative convection rates of positive and negative vorticity are a key parameter involved in thrust generation. Numerical computations are performed using the unsteady three-dimensional Navier―Stokes solver composite grid incompressible Navier―Stokes, which is based on the Overture framework for overlapping grids. Comparative analysis with existing experimental/computational data is also presented.
Institutional pressures, legitimacy, risks, uncertainty and voluntary adoption of IFRS for SMEs in Vietnam

The purpose of this study was to determine the impact of institutional variables, risks, and dependence on the voluntary application of international financial reporting standards. The study used a quantitative research method based on regression analysis, with data obtained from a survey from among Vietnam's small and medium businesses. The findings confirmed that legitimacy, dependence, consistency, time, international trade, uncertainty, operational risk, financial risk, and industry all have a positive impact on the ability to voluntary application international financial reporting standards, with the exception of flexibility, which has a negative impact. The findings of the study have consequences for stakeholders in making proper policy decisions about the application of the International Financial Reporting Standards.
Optimal Generation Control of Interconnected Power System Including DFIG-Based Wind Turbine

ABSTRACT The impact of wind power with higher size of penetration becomes significant for frequency control problem due to its inconsistent nature and lack of frequency support from the wind turbine units. The frequency can be managed using enhanced control of inertia and droop characteristics. However, at very low and high speeds, the adjustment of pitch angle of wind turbine is necessary so that the aerodynamic power produced remains within the designed limits. This paper discloses the design of proportional integral (PI) control algorithm to adjust pitch angle of doubly fed induction generator (DFIG)-based wind turbine (WT) integrated with two-area-interconnected power system. Here, a heuristic gravitational search algorithm (GSA) is employed to optimize the gains of PI controllers used for pitch angle adjustment and governor speed control of wind turbine, frequency regulation, and tie-line power flow control. The influence of optimal gains by GSA is compared with genetic algorithm (GA) and ant colony optimization (ACO) approaches. Finally, the effectiveness of GSA-optimized controllers is demonstrated in terms of reduced settling time, overshoot, eigenvalues, and oscillations. The competency of proposed controller is also studied by considering the variation of wind power source from 10% to 40% in the power system and also the real-time physical constraints like generation rate, time delay, and governor deadband.
Study on Cost Decision Model Based on BIM and AHP

An optimal cost decision is the premise of cost plan and the important way to realize the goal of cost and increase economic efficiency. At the same time, the correctness of the cost decision depends on accurate cost information.This paper builds the cost decision-making model based on the BIM with Revit API secondary development technology and the analytic hierarchy process (AHP), so as to provide methods for the cost decision of construction project and promote the application of BIM in cost management.
EFFECT OF DIFFERENT TYPES OF EMITTERS AND IRRIGATION INTERVALS ON THE PRODUCTIVITY AND QUALITY OF SQUASH UNDER THE NILE DELTA CONDITIONS

Squash yield. ABSTRACT Drip irrigation considered as one of modern irrigation systems which used to reduce water losses and increase water use efficiency. The present work was conducted in the experimental farm of Faculty of Agriculture, Tanta University, during summer 2019. The work amid to study the response of squash to three different irrigation intervals "irrigation day after day; irrigation every three days and irrigation every five days" using D5000, PCND and PC2 emitters. The coefficient of variation "C.V", emission uniformity "EU", statistical uniformity coefficient "Us" and Christiansen uniformity "CU" were calculated for all tested emitters. The results revealed that a significant effect of the irrigation intervals on the flow rate of all emitters under study. D5000 showed the highest C.V followed by PCND type. The largest C.V was shown in D5000 under irrigation every 5 days while the lowest one was presented in PC2 under irrigation day after day. EU, CU and Us values for the tested emitters were larger than 90%. PC2 had the highest value of EU, CU and Us followed by PCND. Emission uniformity, CU and Us negatively associated with irrigation intervals. Squash plants under PC2 emitter gave the highest fruit yield and fruit quality. The results revealed that a significant decrease in fruit yield and most related traits with the increase of irrigation intervals. Irrigated squash plants every three days resulted in high significant increase in fruit yield and fruit quality. Irrigated squash plants every three days using PC2 was recommended to increase the yield under the Nile Delta conditions.
A 2K-h Single-Row Planetary Gearbox Optimal Design with Genetic Algorithms

In conventional methods, designing a gear drive such as a 2K-h single-row planetary gearbox requires a very large number of calculations based on recommended gear standards, trial and error methods, etc. This time consuming process may often finish up with inadequate design outcomes. Therefore, in this paper a Genetic Algorithm (GA) methaeuristics is considered in order to resolve this complex design problem. The GA was used to find the optimal values of 14 genes (i.e. design variables) that define the planetary gearbox. The optimal design of the power transmission was evaluated considering the mass minimization criterion. The results of the optimised planetary gearbox suggest a reduction of the mass with 15.16% as compared with the situation when the traditional design was used.
Measuring Polarization in Online Debates

Social networks can be a very successful tool to engage users to discuss relevant topics for society. However, there are also some dangers that are associated with them, such as the emergence of polarization in online discussions. Recently, there has been a growing interest to try to understand this phenomenon, as some consider that this can be harmful concerning the building of a healthy society in which citizens get used to polite discussions and even listening to opinions that may be different from theirs. In this work, we face the problem of defining a precise measure that can quantify in a meaningful way the level of polarization present in an online discussion. We focus on the Reddit social network, given that its primary focus is to foster discussions, in contrast to other social networks that have some other uses. Our measure is based on two different characteristics of an online discussion: the existence of a balanced bipartition of the users of the discussion, where one partition contains mainly users in agreement (regarding the topic of the discussion) and the other users in disagreement, and the degree of negativity of the sentiment of the interactions between these two groups of users. We discuss how different characteristics of the discussions affect the value of our polarization measure, and we finally perform an empirical evaluation over different sets of Reddit discussions about diverse classes of topics. Our results seem to indicate that our measure can capture differences in the polarization level of different discussions, which can be further understood when analyzing the values of the different factors used to define the measure.
Does international work experience pay off? The relationship between international work experience, employability and career success: A 30‐country, multi‐industry study

and Business Administration, University of Bamberg, Bamberg, Germany 2Beedie School of Business, Simon Fraser University, Vancouver, British Columbia, Canada 3Department of Marketing and Communication, Athens University of Economics and Business, Athens, Greece 4Gustavson School of Business, University of Victoria, Victoria, British Columbia, Canada 5Business School, Dublin City University, Dublin, Ireland 6Cranfield School of Management, Cranfield, UK 7Faculty of Economics, University of Ljubljana, Ljubljana, Slovenia 8School of Management, University of Vaasa, Vaasa, Finland
Production and Quality Assurance of Solid Recovered Fuels Using Mechanical—Biological Treatment (MBT) of Waste: A Comprehensive Assessment

The move from disposal-led waste management to resource management demands an ability to map flows of the properties of waste. Here, we provide a comprehensive review of how mechanical–biological treatment (MBT) plants, and the unit processes that comprise them, perform in relation to management of material flows, while transforming inputs into output fractions. Focus is placed on the properties relating to the quality of MBT-derived fuels. Quality management initiatives for refuse-derived fuels (RDF) or solid recovered fuels (SRF) are reviewed and SRF quality from MBT plants is assessed through a statistical analysis of published data. This can provide a basis for a targeted reduction in pollution load from solid MBT outputs and subsequent end-user emissions. Our analysis, among else, (1) verifies the difficulty of chemical separation solely by mechanical means; (2) illustrates the trade-off between achieving a high quality of recoverable outputs and the quantity/properties of reject material; and (3) indicates that SRF quality could respond to legislative requirements and market needs, if specific improvements (reduction of Cl, Cu, and Pb content) are achieved. Further research could enhance the confidence in the ability of MBT plants to produce a quality-assured SRF suitable for specific end-users, without contradicting the wider requirement for an overall sustainable management of resources.
The absorption and coupling of an electromagnetic wave incident on a microstrip circuit with superstrate

The absorption of an electromagnetic wave incident on a microstrip circuit covered with a dielectric layer is studied. The exact analytical expression for the plane-wave reflection coefficient at the air-superstrate interface of a four-layer model for a superstrate-loaded microstrip circuit is given. Numerical results illustrating the power absorption by the microstrip circuit and the electric and magnetic fields on the surface of the circuit as a function of wave frequency, superstrate thickness, superstrate permittivity, and incident angle are presented. It is found that the power absorption by the circuit at resonant frequencies increases with increasing superstrate permittivity. Higher superstrate thickness and permittivity can both cause more resonant power absorption peaks in the frequency spectrum. Significant intensities of electric or magnetic fields can also exist on the surface of the circuit for almost all the frequencies, which may couple to the circuit and cause malfunctions or interference. Details of the numerical results are presented. >
Detection of Monilia Contamination in Plum and Plum Juice with NIR Spectroscopy and Electronic Tongue

Plums are one of the commercially important stone fruits that are available on the market in both fresh and processed form and the most sought-after products are prunes, cans, jams, and juices. Maturity, harvest, and post-harvest technologies fundamentally determine the relatively short shelf life of plums which is often threatened by Monilinia spp. Causing brown rot worldwide. The aim of the present research was to use advanced analytical techniques, such as hand-held near infrared spectroscopy (NIRS) and electronic tongue (e-tongue) to detect M. fructigena fungal infection on plums and quantify this fungal contamination in raw plum juices. For this purpose, plums were inoculated with fungal mycelia in different ways (control, intact, and through injury) and stored under different conditions (5 °C, and 24 °C) for eight days. The results obtained with the two instruments were analyzed with chemometric methods, such as linear discriminant analysis (LDA) and partial least squares regression (PLSR). The NIRS-based method proved successful when detectability before the appearance of visible signs of the infection was studied. E-tongue was able to detect and quantify the concentration of juice derived from plum developed with M. fructigena with RMSECV lower than 5% w/w. Overall, the two methods proved to be suitable for discriminating between the treatment groups, however, the classification accuracy was higher for samples stored at 24 °C. The research results show both NIRS and e-tongue are beneficial methods to reduce food waste by providing rapid determination of fruit quality.