Miracle-dz/UniFAR-FTUs huggingface dataset:
An Innovative SIFT-Based Method for Rigid Video Object Recognition

This paper presents an innovative SIFT-based method for rigid video object recognition (hereafter called RVO-SIFT). Just like what happens in the vision system of human being, this method makes the object recognition and feature updating process organically unify together, using both trajectory and feature matching, and thereby it can learn new features not only in the training stage but also in the recognition stage, which can improve greatly the completeness of the video object’s features automatically and, in turn, increases the ratio of correct recognition drastically. The experimental results on real video sequences demonstrate its surprising robustness and efficiency.
Two-dimensional Numerical Estimation of Stress Intensity Factors and Crack Propagation in Linear Elastic Analysis

When the loading or the geometry of a structure is not symmetrical about the crack axis, rupture occurs in mixed mode loading and the crack does not propagate in a straight line. It is then necessary to use kinking criteria to determine the new direction of crack propagation. The aim of this work is to present a numerical modeling of crack propagation under mixed mode loading conditions. This work is based on the implementation of the displacement extrapolation method in a FE code and the strain energy density theory in a finite element code. At each crack increment length, the kinking angle is evaluated as a function of stress intensity factors. In this paper, we analyzed the mechanical behavior of inclined cracks by evaluating the stress intensity factors. Then, we presented the examples of crack propagation in structures containing inclusions and cavities.
Experiences of the Socio-Professional Transition of Young Spanish UniversityStudents

Citation: Sara Muñoz. “Experiences of the Socio-Professional Transition of Young Spanish University Students”. EC Psychology and Psychiatry 7.9 (2018): 609-617. Abstract The present investigation aims to know how young university degrees make sense of their situation of unemployment. The empirical analysis employed deep interview technique, using a sample of unemployed university young’s or who had been unemployed for six months or more, with ages between 22 and 29 years. A discourse analysis was used for the analysis of data whose main study themes were: explanations about failure or success in the transition, the identity screening, future for work expectations, strategies of inclusion in the labour market, the perception of youth and activation policies. Finally the main conclusions are exposed.
Prediction of Anti-mycobacterial Activity of 2-(4-(4,5-dihydro-1H-pyrazol-3-yl)phenoxy)acetic acid Analogs: A QSAR Approach

Tuberculosis is one of the most prevalent infectious disease affecting approximately 8 million people every year. The emergence of multidrug resistant tuberculosis together with the spread of severe opportunistic disseminated infections is the tremendous problem. With this view in the present study, an attempt has been made to explore physicochemical requirements of 2-(4-(4,5-dihydro-1H-pyrazol-3-yl)phenoxy)acetic acid analogs for binding with Mycobacterium tuberculosis H 37 Rv and isoniazid resistant strains. The quality of QSAR models obtained from regression within acceptable statistical range (explained variance ranging from 81.9 to 87.4%). The study shows that molecular geometry, atomic masses, hydrogen acceptor donor interactions are driving forces for describing the activity of 2-(4-(4,5-dihydro-1Hpyrazol-3-yl)phenoxy)acetic acid as anti-mycobacterial agents.
Passenger choice decisions at a regional airport in South Africa

The choices made by departing air transportation passengers from multiple airport regions impact on the strategies of competing airlines, airport operators and planners and local authorities. For these stakeholders it is important to understand which determinants influence passenger decision-making. The purpose of this article is to determine the main factors which influence airport choice decisions at a regional airport in the Greater Johannesburg area in South Africa.
Granulation techniques & its updated modules

Granulation is the process in which primary powder particles are made to adhere to form larger multiparticle entities called granules. Granulation is required to avoid segregation, enhance the flow of powder, to produce uniform mixture, to produce dust free formulation, to eliminate poor content uniformity and to improve compaction characteristics of mix. Granulation method is mainly divided into two types: wet granulation and dry granulation. Like any other scientific field, pharmaceutical granulation technology also continues to change, and arrival of novel and innovative technologies are inevitable. This review focuses on the recent progress in the granulation techniques and technologies such as pneumatic dry granulation, reverse wet granulation, steam granulation, moisture-activated dry granulation, thermal adhesion granulation, freeze granulation, and foamed binder or foam granulation. This review gives an overview of these with a short description about each development along with its significance and limitations. During the formulation development, each drug substance poses a unique challenge that must be taken into consideration at the process selection stage by the formulation development scientists.
The Influence of Airflow Characteristics and Accumulation Grid Velocity on the Formation of a Stone Wool Primary Layer

In this paper, the industrial process of stone wool primary layer formation has been investigated. The blow-away airflow, collecting chamber suction pressure, and peripheral velocity of collecting member effects on primary layer area density have been investigated. In total, 27 operating points have been measured by means of primary layer visualization. Computer-aided visualization has been carried out by two digital cameras. Each operating point was monitored at two locations: the first one at the beginning of fibre accumulation, forming the primary layer, and the secondary one at the end of the formation zone. The mass attenuation coefficient was calculated for each operating point and then used to calculate the primary layer area density. It was determined that primary layer bulk density distribution and primary layer texture are significantly influenced by accumulation grid peripheral velocity and blow-away airflow; however, suction pressure has a less pronounced effect on those characteristics. At the highest accumulation grid velocity and blow-away flow rate, the area density was 37 % lower than at the lowest grid velocity and blow-away flow, with a corresponding increase in a standard deviation of 750 %. Multiple regression models suggest very good agreement with the measured data (R2 = 0.94 to 0.98).
Is there tunneling in Small Business Groups? Evidence from French SMEs

This paper investigates the influence of firm control structure on firm individual economic performance using a unique firm level data set of ownership and balance sheet information. This study fills a gap in the empirical governance literature by investigating whether or not there is expropriation of minority shareholders in small business groups. Contrary to what is usually observed for large business groups’ results show a positive relationship between the separation of control from ownership and firm performance. Results also underline that tunneling, in small business groups, seems motivated by controlling shareholders’ profit stability rather than profit maximization.
The Role of Tool and Teacher Mediations in the Construction of Meanings for Reflection.

This article reports on a study aiming to design learning systems in which students' knowledge of reflection is brought closer to institutional knowledge of this isometry and to compare how their activities shape and are shaped by different forms of mediation. It presents descriptions of interactions of groups of students (aged 12-13 years) with two computational microworlds, based on either dynamic geometry or multiple-turtle geometry, during attempts to construct and use a tool for reflections and considers how the tools of the microworlds along with the instructional approach adopted by the researcher were important in mediating the passage between meanings emphasizing reflection as property and those emphasizing reflection as function.
Non-Traditional Undergraduate Students

A study examined the nature of trait-like and situational communication apprehension on non-traditional undergraduate students enrolled in a two-year community college. Subjects were 323 students enrolled in general education requirements at a midwestern community college. Of these, 181 were 25 years or under and 142 were older, 212 were females and 111 were males, and the mean age of the subjects was 26.9. The Personal Report of Communication Apprehension (McCroskey, 1982), the Situational Communication Apprehension Measure (SCAM; McCroskey & Richmond, 1982), and several demographic questions were administered by instructors. Results indicated a significant difference between student type and situational communication apprehension, with higher levels reported by the traditional students; also, higher levels of communication apprehension were not found in non-traditional students. Findings suggest that while traditional students are at a transition point in their lives, from late adolescent to young adulthood, adult learners, too, are moving in, through, or out of many different life transitions. (Contains 19 references.) (Author/CR) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Non-Traditional Students An Investigation Into the Nature of Trait-like and Situational Communication Apprehension of Non-Traditional Undergraduate Students JANICE GAYLE POPPENGA
Top-k Keyword Search Algorithms with Redundancy Elimination on Large Graph Databases

In this paper, by modifying an existing graph-database search algorithm DPBF [1] in a straightforward strategy, we propose such an algorithm that can find exact top-k answers, with eliminating redundant answers, in an exact ranked order in O((2l+1mk + 3lnk ∙ logk)log(2lnk)) run time (l: the number of keywords; k: top-k; n: the number of nodes in the graph database; m: the number of edges in the graph database) with the space complexity of O(2l+1nk). Keyword Top-k,Keyword Search,Graph Database
Polariton states bound to defects in GaAs/AlAs planar microcavities

We report on polariton states bound to defects in planar GaAs/AlAs microcavities grown by molecular beam epitaxy. The defect types relevant for the spatial polariton dynamics in these structures are cross-hatch misfit dislocations, and point-like defects extended over several micrometers. We attribute the latter defects to Ga droplets emitted occasionally by the Ga cell during the growth. These defects, also known as oval defects, result in a dome-like local modulation of surface, which is translated into the cavity structure and leads to a lateral modulation of the cavity polariton energy. The resulting spatially localized potential landscape for the in-plane polariton motion creates a series of bound states. These states were characterized by spectrally resolved transmission imaging in real and reciprocal space, and reveal the spatial potential created by the defects. Interestingly, the defect states exhibit long lifetimes between 10 and 100 ps, which we attribute to a spatially smooth confinement potential.
Low-Default Portfolio/One-Class Classification: A Literature Review

Consider a bank which wishes to decide whether a credit applicant will obtain credit or not. The bank has to assess if the applicant will be able to redeem the credit. This is done by estimating the probability that the applicant will default prior to the maturity of the credit. To estimate this probability of default it is first necessary to identify criteria which separate the “good” from the “bad” creditors, such as loan amount and age or factors concerning the income of the applicant. The question then arises of how a bank identifies a sufficient number of selective criteria that posses the necessary discriminatory power. As a solution, many traditional binary classification methods have been proposed with varying degrees of success. However, a particular problem with credit scoring is that defaults are only observed for a small subsample of applicants. An imbalance exists between the ratio of non-defaulters to defaulters. This has an adverse effect on the aforementioned binary classification methods. Recently one-class classification approaches have been proposed to address the imbalance problem. The purpose of this literature review is threefold: (i)
Conflicting Tasks and Moral Hazard: Theory and Experimental Evidence

We study a multi-task principal-agent problem in which tasks can be in direct conflict with each other. In theory, it is difficult to induce a single agent to exert efforts in two conflicting tasks, because effort in one task decreases the success probability of the other task. We have conducted an experiment in which we find strong support for the relevance of this incentive problem. In the presence of conflict, subjects choose two efforts significantly less often when both tasks are assigned to a single agent than when there are two agents each in charge of one task.
The role of peers and teachers as motivators on adolescents’ neural emotional processing predicting feelings of loneliness, depression and stress: Results of an interdisciplinary study

Abstract This interdisciplinary multi-method study was designed to examine the role of peers and teachers as motivators on adolescents’ neural processing of emotional stimuli affecting stress, loneliness and depression in a sample of 9th and 10th grade students (N = 84) in secondary schools in Brandenburg, Germany. Combining the data from functional magnetic resonance imaging (fMRI) and data from a quantitative questionnaire study, a structural equation model (SEM) was constructed to test the association between the variables of interest. The results of the SEM revealed that students reporting to perceive their teachers and peers as positive motivators showed stronger amygdala activity when students were shown angry teacher and peer pictures, which in turn predicted subjective measures of stress, loneliness and depression. Keywords: fMRI, Amygdala, Teachers, Peers, Emotion processing, Stress, Loneliness, Depression ----- Die Rolle von Peers und Lehrern als Motivatoren in Bezug auf die neuronale Emotionsverarbeitung Jugendlicher als Pradiktoren von Einsamkeit, Depression und Stress: Ergebnisse einer interdisziplinaren Studie Zusammenfassung Die vorliegende interdisziplinare multimethodale Studie wurde konzipiert, um die Rolle von Peers und Lehrer/-innen als Motivatoren in Bezug auf die neuronale Verarbeitung von emotionalen Stimuli in der Amygdala und deren Auswirkungen auf Einsamkeit, Depression und Stress in einer Stichprobe von Schuler/-innen der 9. und 10. Klasse (N= 84) in Sekundarschulen in Brandenburg zu untersuchen. Durch die Zusammenfuhrung von experimentellen Daten, die mittels funktioneller Magnetresonanztomographie (fMRT) erhoben wurden, und Daten einer quantitativen Fragebogenstudie wurde ein Strukturgleichungsmodell konzipiert, um die erwarteten Zusammenhange zwischen den Variablen empirisch zu testen. Die Ergebnisse des Strukturgleichungsmodells zeigen, dass Schuler/-innen, die ihre Lehrer/-innen und Peers als positive Motivatoren wahrnehmen, eine starkere Aktivierung der Amygdala zeigen, wenn sie wutende Lehrer/-innen- und Peer-Bilder betrachten und verarbeiten. Die Starke der Aktivierung der Amygdala wiederum fungiert als Pradiktor von Einsamkeit, Depression und Stress. Schlagworter: fMRT, Amygdala, Lehrer, Schuler, Emotionsverarbeitung, Stress, Einsamkeit, Depression ----- Bibliographie: Pohland, Lydia/Raufelder, Diana: The role of peers and teachers as motivators on adolescents’ neural emotional processing predicting feelings of loneliness, depression and stress: Results of an interdisciplinary study, Diskurs Kindheits- und Jugendforschung, 4-2014, S. 451-465. https://doi.org/10.3224/diskurs.v9i4. 17292
LASER BASED STRIPPING SYSTEM FOR MEASUREMENT OF THE TRANSVERSE EMITTANCE OF H - BEAMS AT THE CERN LINAC4 *

The new LINAC4 at CERN will accelerate H particles to 160 MeV and allow high brightness proton beam transfers to the Proton Synchrotron Booster, via a chargeexchange injection scheme. This paper describes the conceptual design of a laser system proposed for transverse profile and emittance measurements based on photon detachment of electrons from the H ions. The binding energy of the outer electron is only 0.75 eV and can easily be stripped with a laser beam. Measuring the electron signal as function of the laser position allows the transverse beam profile to be reconstructed. A downstream dipole can also be used to separate the laser neutralized H 0 atoms from the main H - beam. By imaging these H 0 atoms as a function of laser position the transverse emittance can be reconstructed in the same way as in traditional slit-and-grid systems. By properly dimensioning the laser power and spot size, this method results in negligible beam losses and is therefore nondestructive. In addition, the absence of material intercepting the H beam allows the measurement of a full power H - beam. This paper will focus on the general design and integration of both the laser and H 0 detector systems.
Harmonic Wavelet Analysis of Nonlinear Waves

This paper deals with the analysis by harmonic wavelets (Cattani, 2005; Muniandy and Moroz, 1997; Newland, 1993) of the nonlinear waves arising in hyperalistic materials (see e.g. Achenbach, 1973; Cattani and Rushchitsky, 2007; Dai and Zhao, 1999; Destrade, 2005; Drumheller, 1998; Germain, 1972; Hudson, 1980; Maugin, 1988,2007; Porubov and Maugin, 2006; Wasley, 1973; Whitam, 1974). The evolution of an hyperlastic material depends on the potential which is a function of the three basic invariants of the chosen strain tensor (Green, Almansi, Hencky or others). Thus the corresponding fundamental equations can be derived from the given potential (Mooney-Rivlin, Rivlin-Saunders, John, Signorini, etc.) quadratic in the invariants. The cubic potential, proposed by Murnaghan, (see e.g. Murnaghan, 1951; Cattani and Rushchitsky, 2007) describes the largest class of industrial materials. From the Murnaghan potential follow some nonlinear equations suitable for studying the evolution of hyperelastic materials. However, due to their complexity, these equations can be numerically solved only in a few (very special) simple problems. The most common methods of solutions, based on physical considerations, are the Van der Pol method and the method of slowly changing amplitudes (see e.g. Cattani and Rushchitsky, 2007; Ratner, 2003). However, both assume strong constraints on the evolution which are compatible with the nonlinear hypotheses only under restricted conditions.
Plug-in Based Analysis Framework for LHC Post-Mortem Analysis

Plugin-based software architectures [1] are extensible, enforce modularity and allow several teams to work in parallel. But they have certain technical and organizational challenges, which we discuss in this paper. We gained our experience when developing the PostMortem Analysis (PMA) system, which is a missioncritical system for the Large Hadron Collider (LHC). We used a plugin-based architecture with a general-purpose analysis engine, for which physicists and equipment experts code plugins containing the analysis algorithms. We have over 45 analysis plugins developed by a dozen of domain experts. This paper focuses on the design challenges we faced in order to mitigate the risks of executing third-party code: assurance that even a badly written plugin doesn't perturb the work of the overall application; plugin execution control which allows to detect plugin misbehaviour and react; robust communication mechanism between plugins, diagnostics facilitation in case of plugin failure; testing of the plugins before integration into the application, etc.
Number and Content Variability of Instructive Examples Promote Structurebased Learning

For novice learners of statistics, successful recognition of a statistical concept in a problem requires an understanding of abstract rules and principles. Whereas experts focus on structure, novices typically rely on surface features such as the storyline presented in the problem. However, novices can learn to foster expert-like strategies with exposure to examples that vary the surface features to promote structure-based learning. This strategy may be further improved by increasing the number of examples used during initial learning. The purpose of this study was to examine the effects of short-term guided training on problem recognition in novices. Three statistical concepts were each illustrated with two or three examples which had high or low content variability. Results support the use of three high content variable examples as a simple and timeeffective implementation to learning.
Casuality Between Energy Consumption and Output Growth in Indian Cement Industry : An Application of Panel Vector Error Correction Model

The aim of this paper is to examine the existence and direction of the causal relationship between energy consumption and output growth for Indian cement industry for the period 197980 to 2004-05. The most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models have been applied in a multivariate framework including capital stock, labor, and material other than energy and output. The empirical results confirm a positive long-run cointegrated relationship between output and energy consumption when heterogeneous state effect is taken into account. It is also found that there exists a long run bi-directional relationship between energy consumption and output growth in Indian cement industry for the study period, implying that an increase in energy consumption directly affects growth of this sector and that growth also stimulates further energy consumption. These empirical findings imply that energy consumption and output are jointly determined and affect each other. Also, energy conservation policies should be associated with consistent encouragement and support from the government for adoption of energy efficient technologies in order to avoid negative impacts of theses policies on the growth of this industry.
Sequence Characterization of Lactoferrin Gene Promoter Region in Bos indicus Cattle

Prevalence of several diseases especially mastitis in dairy animals causes reduction in milk production leading to heavy economic loss to the dairy farmers. Lactoferrin (Lf) is a minor whey non-heme iron binding protein produced by the mammary gland may serve a dual role, protecting both the mammary gland and the neonatal intestine from infection. The characterization of lactoferrin gene promoter region has been described in Bos taurus cattle, but there are no reports available in Bos indicus cattle which are widely distributed in Indian sub-continent. About 1kb sequence of lactoferrin gene was generated and the BLAST analysis revealed 99% sequence homology with the exotic cattle sequence. The phylogenetic analysis showed clustering of indicus and taurine cattle together in a single node indicating 5’ regulatory region of lactoferrin gene is highly conserved in these two sub-species. A total of 13 putative transcription factor binding sites were indentified. Although it seems unlikely that all the putative transcription factors identified in the promoter region exert their individual effects, some may actually influence the regulation of bovine lactoferrin gene expression in various tissues especially in mammary gland which need to be further assessed for their functional significance.