Miracle-dz/UniFAR-FTUs huggingface dataset:
The Information Technology application in the product development in the automotive projects

This paper aims to analyze the importance of the Information Technology (IT) in the products development process in an automobile industry, focusing on quality improvement, cost reduction and optimization of time in the development. This paper is started with a theoretical description of models that analyzing the IT paper, an evaluation process report and their benefits, also describes as the IT influences the company strategy, as well as points how the information provides advantage competitive face to the current market. This paper is complemented with a brief description of the New Product Development (NPD) process, having the responsibility to develop products with the market expectations and economically viable. Finally, it is intended in this present paper, in form of case study, the application of the theory approached on IT in the vehicles development process, in order to verify IT efficiency and effectiveness.
TEMPORAL AND SPATIAL SUMMATION IN THE HUMAN ROD

1. Absolute and increment thresholds were measured in a retinal region 12 deg temporal from the fovea with 520 nm targets of varying size and duration. Measurements were made under rod-isolation conditions in two normal observers and in a typical, complete achromat observer who has no cone-mediated vision. The purpose of these experiments was to determine how the temporal and spatial summation of rod-mediated vision changes with light adaptation. 2. The absolute threshold and the rise in increment threshold with background intensity depend upon target size and duration, but the psychophysically estimated dark light of the eye (the hypothetical light assumed to be equivalent to photoreceptor noise) does not. 3. The rise in increment threshold for tiny (10 min of arc), brief (10 ms) targets approaches the de Vries-Rose square-root law, varying according to the quantal fluctuations of the background light. The slope of the rod increment threshold versus background intensity (TVI) curves in logarithmic co-ordinates is about 0-56+0-04 (when cones are not influencing rod field adaptation). For large (6 deg) and long (200 ms) targets, a maximum slope of about 0 77 + 0 03 is attained. 4. The steeper slopes of the rod-detected TVI curves for large, long targets implies some reduction in temporal or spatial summation. In fact, the change in summation area is much more critical: under conditions where only the rod system is active the TVI curve slope is independent of target duration, suggesting that temporal summation is practically independent of background intensity. 5. The rise in threshold also depends on the wavelength of the background field in the normal observer but not in the achromat, confirming reports that the field adaptation of the rods is not independent of the quantal absorptions in the cones. The cone influence is most conspicuous on long-wavelength backgrounds and is found for all target sizes and durations, but is greater for large and long targets than for the other conditions.
On Estimation of Associations by using Frailty Distribution

In this paper we have considered some associations and their distributions like Multinomial Distributions. We have generated the simulated data and considering base line distribution as Multinomial Distributiion and considering frailty variable having Uniform Distribution, we obtained estimates of the parameters of multinomial distribution and frailty variable considering as random effects.
LOFAR discovery of a double radio halo system in Abell 1758 and radio/X-ray study of the cluster pair

Radio halos and radio relics are diffuse synchrotron sources that extend over Mpc-scales and are found in a number of merger galaxy clusters. They are believed to form as a consequence of the energy that is dissipated by turbulence and shocks in the intra-cluster medium (ICM). However, the precise physical processes that generate these steep synchrotron spectrum sources are still poorly constrained. We present a new LOFAR observation of the double galaxy cluster Abell 1758. This system is composed of A1758N, a massive cluster hosting a known giant radio halo, and A1758S, which is a less massive cluster whose diffuse radio emission is confirmed here for the first time. Our observations have revealed a radio halo and a candidate radio relic in A1758S, and a suggestion of emission along the bridge connecting the two systems which deserves confirmation. We combined the LOFAR data with archival VLA and GMRT observations to constrain the spectral properties of the diffuse emission. We also analyzed a deep archival Chandra observation and used this to provide evidence that A1758N and A1758S are in a pre-merger phase. The ICM temperature across the bridge that connects the two systems shows a jump which might indicate the presence of a transversal shock generated in the initial stage of the merger.
Corporate decision-making in R&D outsourcing and the impact on internal R&D employment intensity

This article aims to assess whether firms' strategies of R&D outsourcing determine changes in their internal R&D employment intensity. Four strategic decisions are investigated: to start, increase, decrease or stop outsourcing. It is found that internal R&D employment intensity decreases when firms decide to start, to increase, or to stop R&D outsourcing. However, this finding hides important differences according to the type and the location of the contractor. In general, firms prefer a mix of different types of contractors at different locations. Started outsourcing of R&D to research centers within the nation and increased R&D outsourcing to research centers within the region appear to decrease the internal R&D employment intensity. Decreasing outsourcing to national universities in another region also has a negative impact on internal R&D employment intensity. A corporate decision to stop R&D outsourcing to other firms within the nation but outside the region has a positive impact on the internal R&D employment intensity. The latter is the only effect that is not only statistically significant but is also substantial in magnitude. Copyright 2010 The Author 2010. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved. , Oxford University Press.
Propuesta de marco teórico para estudiar los RPST (I) Primera parte: Modelos tradicionales de RPST y nuevos enfoques

En este artículo se pasa revista a los modelos tradicionales de análisis de los riesgos psicosociales (RPST) elaborados a partir del concepto de stress, propuesto por H. Selye. Luego, se detallan los conceptos teóricos que están en el fundamento del nuevo enfoque de riesgos psicosociales en el trabajo (RPST): el valor del trabajo humano, la lógica del modo de producción dominante, la evolución del proceso de trabajo y de la relación salarial. Finalmente, se señalan las estrechas relaciones entre el trabajo y la salud.
Viscous effects in planar magnetic X-point reconnection

The impact of viscous dissipation is considered on magnetic reconnection in closed line-tied magnetic X-points. It is shown that viscous effects can provide fast energy dissipation for disturbances which do not alter the initial X-point topology. If the X-point topology is altered, then the rate of viscous dissipation depends on both the perturbed topology and the relative magnitudes of viscosity and electric resistivity. New solutions are demonstrated, which derive from the combination of resistive and viscous effects. The solutions are characterized by monotonically decaying modes which are qualitatively different from the previously known oscillatory modes in nonviscous resistive X-point reconnection. These results suggest that viscous heating in magnetic X-points may be an important effect in solar flares.
FNC-1 : Stance Detection MYTH BUSTERS :

In this project, we present our approach to solving the challenge of fake news. We are solving this problem as a part of the Fake News Challenge (FNC) Stage 1. FNC aims to explore how machine learning and natural language processing can be used to identify fake news. Stage 1 of the challenge focuses on classifying the stance of a news article body relative to a headline as agree, disagree, discuss, or unrelated. We present three methods for solving this task: a modified baseline with hand-engineered features, a word-embedding based model, and an LSTM with conditional encoding. The accuracy achieved by our best model around 87%, constituting a 8% improvement on the provided baseline implementation. We also present ideas for further refinement of our models and the limitations associated with the problem statement.
Strength Prediction of Composite Materials from Nano- to Macro-scale

The primary scope behind composite materials development was to reduce structural weight and cost. Nowadays, after more than 30 years of development, this scope has been partially achieved through the extensive use of CFRP laminates in aeronautical, automotive and marine applications. During these years, the evolution of composite materials has being mainly accomplished experimentally; the contribution of theoretical modeling although necessary is limited due to the difficulties in stress and failure analyses originating from material complexity. In order to extend the use of composite materials, specific structural problems, such as the increase in out-of-plane strength of laminated composites and effective joining between composite parts, must be resolved. Towards the resolution of these problems, textile composites with 3D reinforcement have been proposed and adhesive bonding is being forwarded as an alternative to mechanical fastening. However, the understanding of the mechanical performance of textile composites is still evolving, while the integrity of adhesively composite bonded joints needs to be improved. In the last decade, another area has come to the front in the science of composite materials; namely nanocomposites. The spunk for the offset of this area was the discovery of carbon nanotubes and the thereafter findings about their extraordinary mechanical properties. Since then, several works have been reported on the reinforcement of polymers by carbon nanotubes and other nanoparticles. The first findings are very promising; however, there are many issues, such as the strength of the nanotube/polymer interface, the role of nanotube alignment and the structural defects in nanotubes, that must be clarified before nanocomposites are set to production. In the case of nanocomposites, theoretical modeling is more important than in conventional composites since experimenting in the nano-scale is a very tedious task. It is obvious that theoretical modeling plays a major role in the future developments in the science of composite materials. Among methods used to predict strength of composite materials and structures, progressive damage modeling (PDM) is probably the most adequate since it is capable of simulating the initiation and progression of all damage types in composites and predict strength of the specimen or structure. As the PDM simulates reality, it serves as an ideal complement to experiments because it can be directly compared to any type of experimental result, used for further evaluation of the experimental findings and shed light in damage details which cannot be explained experimentally. In the following, a short historical overview and a description of the method are given.
Designing Fuzzy Backstepping Adaptive Based Fuzzy Estimator Variable Structure Control : Applied to Internal Combustion Engine

A Multi Input Multi Output (MIMO) fuzzy estimator variable structure control (VSC) which containing an on-line controller coefficient tuned with the aim of a fuzzy back stepping algorithm. Satisfactory trajectories tracking among the internal combustion engine (IC engine) air to fuel ratio and the preferred input is certified in this paper. The fuzzy controller deployed in developed fuzzy estimator variable structure controller works using Lyapunov fuzzy inference system (FIS) with least model based rule base. Function among variable structure function, error and the error’s rate is represented by model. The outputs show fuel ratio. The fuzzy back stepping tactic is an on-line variable structure function fixing with the aim of an adaptive approach. MIMO fuzzy estimator and VSC performance with an on-line fuzzy back stepping algorithm (FBAFVSC) tuned with the aim of controller coefficient is confirmed using a comparison with VSC and planned approach. Simulation outputs indicate excellent presentation of fuel ratio in attendance of ambiguity and exterior annoyance.
Traffic Forecasting Using PaddlePaddle ?

Traffic forecasting problem is considered. A new traffic prediction algorithm is designed. The algorithm based on an original deep neural network model is implemented with PaddlePaddle deep learning framework using a long-short-term memory layer to improve the prediction accuracy. All experiments have been performed on Ural Federal University cluster with Nvidia Tesla K20 GPUs.
The impact of cultural intelligence on communication effectiveness, job satisfaction and anxiety for Chinese host country managers working for foreign multinationals

Cultural intelligence (CQ) is an important construct attracting growing attention in academic literature and describing cross-cultural competencies. To date, researchers have only partially tested the relationship between CQ and its dependent variables, such as performance. In this study, the relationship between CQ and communication effectiveness and job satisfaction is measured in a sample of 225 Chinese managers working for foreign multinational enterprises in China. The results show that CQ plays an important role in reducing anxiety and influencing both communication effectiveness and job satisfaction positively. Another outcome is the unexpected influence of anxiety on job satisfaction but not on communication effectiveness. These findings contribute to the development of theory with regard to the CQ construct.
Effect of Partial Replacement of Fine and Coarse Aggregate (10mm) with Marble Waste on the Properties of Concrete

Today’s world is a concrete jungle. With the ever increasing population of the world, in general and the developing countries there is the tremendous pressure on the Civil Engineer to develop a cost effective as well as ecofriendly structure to fulfill the need of the human being. Concrete is a heterogeneous mixture of binding material (cement or lime), coarse aggregates, fine aggregates (sand) and water. Fine and coarse aggregates are obtained from quarrying of large rocks. This has brought up with a great destruction to the environment. And further the disposal of the huge amount of demolition waste was another problem. The objective of this research is to study the utilization of marble waste as a partial replacement of fine and coarse aggregate (10mm) in concrete. The properties such as workability, compressive strength and flexural strength of concrete incorporating marble waste in partial replacement of sand and coarse aggregate (10mm) were examined and compared. The compressive strength and flexural strength was determined at the age of 7 days and 28 days. The mix were designated as a mix with varying percentage of marble waste such as 0%,10%,20% and 30% to evaluate various properties. The research has been conducted on M25 mix grade. The results in this work conclude that the strength developed in concrete increased, it can be equated to higher concrete and it can be easily be used as construction material in construction of pavements with replacement up to 30% or higher.
EPSO-GHSOM Stock Selecting and Trading Strategy on Big Data

Extracting trading information from the stock market to construct accurate forecasting models that filter signals and noise is a challenge. This research employs big data analytics to construct a computation platform for stock selection and trading strategies. It adopts elite particle swarm optimization (EPSO) to elucidate optimal trading opportunities and combines growing hierarchical self-organizing map (GHSOM) and EPSO in its stock selection strategy. EPSO–GHSOM distinguishes companies’ operating profitability, identifies price signals, and sets decision rules for buying and selling.
Earthquake induced torsion in buildings:critical review and state of the art

The problem of earthquake induced torsion in buildings is quite old and although it has received a lot of attention in the past several decades, it is still open. This is evident not only from the variability of the pertinent provisions in various modern codes but also from conflicting results debated in the literature. Most of the conducted research on this problem has been based on very simplified, highly idealized models of eccentric one-story systems, with single or double eccentricity and with load bearing elements of the shear beam type, sized only for earthquake action. Initially, elastic models were used but were gradually replaced by inelastic models, since building response under design level earthquakes is expected to be inelastic. Code provisions till today have been based mostly on results from one-story inelastic models or on results from elastic multistory idealizations. In the past decade, however, more accurate multi story inelastic building response has been studied using the well-known and far more accurate plastic hinge model for flexural members. On the basis of such research some interesting conclusions have been drawn, revising older views about the inelastic response of buildings based on one-story simplified model results. The present paper traces these developments and presents new findings that can explain long lasting controversies in this area and at the same time may raise questions about the adequacy of code provisions based on results from questionable models. To organize this review better it was necessary to group the various publications into a number of subtopics and within each subtopic to separate them into smaller groups according to the basic assumptions and/or limitations used. Capacity assessment of irregular buildings and new technologies to control torsional motion have also been included.
Dynamic Cluster Head Rotation for Data Aggregation in Wireless Sensor Networks

Routing algorithms are driving the growth of the data transmission in wireless sensor network. Many algorithms proposed for efficient data transferring. This paper uses the scenario and node distribution across the battle field in India. This paper uses clustering algorithms to send the data over different geographic region. During the battle, data gathering and data aggregation to base station is important and critical task. Based on event, clustering algorithm used. This paper assumes that sensor node uniformly distributed and coordinates of the base station and nodes are known. This paper is essential to enable the cluster head based selection scheme used in battle field and the performance of proposed protocol compute intensive and can significantly benefit over the other scheme. Proposed scheme having better data gathering, throughput, packet delivery ratio, and energy, control over head and lifetime than the AODV scheme. The proposed scheme is implemented and stimulated with AODV in NS2.33 simulation shows protocol performance gains in the better over the AODV for lifetime of network and guaranteed data transmission.
Comparative life‐history traits in a fig wasp community: implications for community structure

1. Whether life‐history traits can determine community composition and structure is an important question that has been well explored theoretically, but has received scant empirical attention. Life‐history traits of a seven‐member community of galler and parasitoid fig wasp species (Chalcidoidea), developing within the inflorescences (syconia) of Ficus racemosa (Moraceae) in India, were determined and used to examine community structure and ecology.
Experimental investigation of relaminarizing and transitional channel flows

A hot-wire measurement was conducted in a planar channel flow that originated from a strongly disturbed flow in an entrance channel followed by an expansion channel used to reduce the Reynolds number (Re). From ceasing decrease of the streamwise velocity fluctuation energy and the linear extrapolation of the intermittency factor, the lower marginal Re, which is defined as the minimum Re for partial existence of sustainable turbulence, is estimated around 1400 based on the channel width and the bulk velocity. The upper marginal Re at which the intermittency factor reaches one is about 2600. The flow fields passing a turbulent patch were reconstructed with conditional sampling of the streamwise velocity data based on the time of laminar-turbulence interfaces and the reconstructed flow fields indicate a large-scale flow structure across laminar and turbulent parts. This large structure makes it possible for some regions to be at higher Re than the average, so that turbulence can partly survive. The moderate-.
NON-FREQUENT PATTERN MINING USING FP-WEIGHTED TREE APPROACH

Data mining has many aspects like clustering, classification, anomaly detection, association rule mining etc. Among such data mining tools, association rule mining has gained a lot of interest among the researchers. Some applications of association mining include analysis of stock database, mining of the web data, diagnosis in medical domain and analysis of customer behaviour. In past, many algorithms were developed by researchers for mining frequent itemsets but the problem is that it generates candidate itemsets. So, to overcome it tree based approach for mining frequent patterns were developed that performs the mining operation by constructing tree with item on its node that eliminates the disadvantage of most of the algorithms. The paper tries to address the problem of finding frequent itemset by determining the infrequent itemsets in a transaction which would reduce the computation time.
Interaction effects on galaxy pairs with gemini/GMOS-I: Electron density

We present an observational study about the impacts of the interactions in the electron density of \ion{H}{ii} regions located in 7 systems of interacting galaxies. The data consist of long-slit spectra in the range 4400-7300 A, obtained with the Gemini Multi-Object Spectrograph at Gemini South (GMOS). The electron density was determined using the ratio of emission lines [SII]6716/6731. Our results indicate that the electron density estimates obtained of HII regions from our sample of interacting galaxies are systematically higher than those derived for isolated galaxies. The mean electron density values of interacting galaxies are in the range of $N_{\rm e}=24-532$\,$ \rm cm^{-3}$, while those obtained for isolated galaxies are in the range of $N_{\rm e}=40-137\: \rm cm^{-3}$. Comparing the observed emission lines with predictions of photoionization models, we verified that almost all the \ion{H}{ii} regions of the galaxies AM\,1054A, AM\,2058B, and AM\,2306B, have emission lines excited by shock gas. For the remaining galaxies, only few HII regions has emission lines excited by shocks, such as in AM\,2322B (1 point), and AM\,2322A (4 points). No correlation is obtained between the presence of shocks and electron densities. Indeed, the highest electron density values found in our sample do not belong to the objects with gas shock excitation. We emphasize the importance of considering theses quantities especially when the metallicity is derived for these types of systems.