Miracle-dz/UniFAR-FTUs huggingface dataset:
Tool support for plagiarism detection in text documents

We propose a software tool that supports the detection of plagiarism. The application domain of the tool are those cases in which a stylometric approach seems appears viable. The tool is language-sensitive. It takes as input two sufficiently long pieces of English text under the Hypothesis that they stem from different authors, and it raises a plagiarism warning in case that significant stylistic similarities in the two texts can be found.
Safety analysis tool for automated airspace concepts (SafeATAC)

Advanced airspace concepts have been proposed to automate separation services currently being provided by human controllers. Different concepts propose fundamentally different system architectures and roles for human operators. Investigating the relationship between safety and capacity could help the concept developers to identify critical points of failure and refine systems' architecture to reduce implementation cost and provide higher level of overall safety. In our previous work we developed a framework for safety-capacity analysis and phase transition. In this paper we present Safety Analysis Tool for Automated Airspace Concepts (SafeATAC) which is an automated tool with a graphical user interface that facilitates system-wide safety analysis, establishing safety-capacity relationships, and investigating phase transition. We discuss the SafeATAC framework and present sample analysis for candidate automation concepts. We also demonstrate how SafeATAC can be used to calculate the required reliability measures for different system components to achieve a target level of safety.
A Study on Recent Development in Face Recognition Techniques

Face recognition has been an active research area since the1960 and is one of the most successful applications of image analysis and understanding. Since then, innumerable researches have been conducted in various face recognition algorithm and is still a wide research area. This is because of two main reasons; first is the need for commercial and law enforcement applications and second is the availability of innumerable technologies to fulfill this. This paper is a review of recent developments in face recognition techniques.
Wavelet Thresholding Approach For Image Denoising

The original image corrupted by Gaussian noise is a long established problem in signal or image processing . This noise is removed by using wavelet thresholding by focused on statistical modelling of wavelet coefficients and the optimal choice of thresholds called as image denoising . For the first part, threshold is driven in a Bayesian technique to use probabilistic model of the image wavelet coefficients that are dependent on the higher order moments of generalized Gaussian distribution (GGD) in image processing applications. The proposed threshold is very simple. Experimental results show that the proposed method is called BayesShrink, is typically within 5% of the MSE of the best soft-thresholding benchmark with the image. It outperforms Donoho and Johnston Sure Shrink. The second part of the paper is attempt to claim on lossy compression can be used for image denoising . thus achieving the image compression & image denoising simultaneously. The parameter is choosing based on a criterion derived from Rissanen’s minimum description length (MDL) principle. Experiments show that this compression & denoise method does indeed remove noise significantly, especially for large noise power.
Replacing version-control with job-control

Version-control is a mechanism for managing the multiple versions of the software objects that are created during the software development process. Traditionally, version-control consists of providing tools for generating a branching tree of versions, with facilities for reserving a given version for modification. In the Workshop System the focus of version-control is shifted from the objects produced during the software process to the software process itself. Objects called jobs are created in a project database to explicitly instantiate the process information. The Workshop System then provides operations for manipulating jobs, with these manipulations providing the functionality normally associated with version-control.
A facilitatory effect of rich stem allomorphy but not inflectional productivity on single-word recognition

ABSTRACT The aim of the present study was to investigate whether the recognition speed of Finnish nominal base forms varies as a function of their paradigmatic complexity (stem allomorphy) or productivity status. Nikolaev et al. (2014) showed that words with greater stem allomorphy from an unproductive inflectional class are recognized faster than words with lower stem allomorphy from a productive inflectional class. Productivity of an inflectional paradigm correlates with the number of stem allomorphs in languages like Finnish in that unproductive inflectional classes tend to have higher stem allomorphy. We wanted to distinguish which of these two characteristics provides the benefit to speed of recognition found by Nikolaev et al. (2014). The current study involved a lexical decision task comparing three categories of words: unproductive with three or more stem allomorphs, unproductive with two stem allomorphs, and productive with two stem allomorphs. We observed a facilitation effect for word recognition only for unproductive words with three or more stem allomorphs, but not for unproductive words with two allomorphs. This effect was observed particularly in words of low to moderate familiarity. The findings suggest that high stem allomorphy, rather than productivity of the inflectional class, is driving the facilitation effect in word recognition.
Empirically Successful Transformations from Non-Gaussian to Close-to-Gaussian Distributions: Theoretical Justification

A large number of efficient statistical methods have been designed fora frequent case when the distributions are normal (Gaussian). In practice, manyprobability distributions are not normal. In this case, Gaussian-based techniquescannot be directly applied. In many cases, however, we can apply these tech-niques indirectly – by first applying an appropriate transformation to the originalvariables, after which their distribution becomes close to normal. Empirical anal-ysis of different transformations has shown that the most successful are the powertransformations X → X^h and their modifications. In this paper, we provide asymmetry-based explanation for this empirical success.
Overview of Red Team Reports 1.0. Executive Summary 2.0 Goals

The California Secretary of State entered into a contract with the University of California to test the security of three electronic voting systems as part of her top to bottom review. Each " red team " was to try to compromise the accuracy, security, and integrity of the voting systems without making assumptions about compensating controls or procedural mitigation measures that vendors, the Secretary of State, or individual counties may have adopted. The red teams demonstrated that, under these conditions, the technology and security of all three systems could be compromised. In May 2007, the California Secretary of State began a study of all electronic voting systems currently certified in California. This " top to bottom review " (TTBR) was to determine whether the systems currently certified should be left alone, or specific procedures required to provide additional protections for their use, or the machines simply decertified and banned from use. As part of this study, the Secretary contracted with the University of California to conduct a " red team " review of the systems. The specific goal of the Red Team study was " to identify and document vulnerabilities, if any, to tampering or error that could cause incorrect recording, tabulation, tallying or reporting of votes or that could alter critical election data such as election definition or system audit data. " ([1], p. 5). A red team study, also called a penetration study, examines a system from the point of view of an attacker, and analyzes the system to determine how secure it is against an attack. Such a study requires establishing several parameters: • The specific goals of the system: what is it to do? • The threat model: with whom or what are the testers concerned? • The information to be made available to the testers: how much do they know at the start? • The environment in which the system is used: what policies and procedures are to be applied? • The specific " rules of engagement " : what are the team members allowed to do? For this TTBR, the specific goals of each system are to record, tabulate, tally, and report votes correctly and to prevent critical election data and system audit data from being altered without authorization. The threats were taken to be both insiders (those with complete knowledge of the system and various degrees of access to the system) and outsiders …
Rule-Package Serialism

A basic sense of the issues can be garnered from a look at Halle's one stated rule: “Shorten the head vowel of a branching foot. ” This brief imperative fairly bristles with unasked questions. Why shorten rather than lengthen? indeed, why do anything at all? Why head rather than nonhead ? indeed, why not affect both? Why branching rather than nonbranching? indeed, why not operate on any foot? Over the last decade or so, metrical theory has developed answers to exactly this kind of question, and recent formal work is much concerned with mechanisms for integrating such answers into grammars. Assume a strict bimoraic perspective on trochaic rhythm, which disallows Heavy-Light 1
PERFORMANCE EVALUATION OF PROACTIVE, REACTIVE AND HYBRID ROUTING PROTOCOLS WITH MOBILITY MODEL IN MANETS

Our work mainly focused on the performance and effe cts of different mobility models like Random Waypoi nt, Reference Point Group, and Manhattan mobility models in different aspects to improve and analyze the behavior of Optimized Li nk-State Routing (OLSR), Temporally-Ordered Routing Algorithm (TORA) and Zon e Routing Protocol (ZRP) routing protocols. These t hree routing protocols can be classified into the following three general categories, based on the timing when the routes are discovered and updatedproactive (OLSR), reactive (TORA) and hybrid (ZRP). In literature various researchers have discussed t he performance issues in AODV, DSDV and DSR routing protocols in Random Wayp oint mobility model on Mobile Ad hoc Networks (MANE Ts) is not satisfactory due to link failure and late acknowled gement. To resolve the specified issue, we have com e up with other alternatives like Reference Point Group, and Manhattan mobility model and also other routing protocols like OSLR, TORA aA simulation was carried out in NS2 and Bonnmotion for above said pr otocols and mobility models in Constant Bit Rate (C BR) traffic to analyzed using various metrics like packet delivery fraction, end to end delay and normalized routing load. In our si mulation it was shown that few mobility model performed better in different routin g protocols. In our simulation results, we got a hi gh Normalized Routing Load for Random Waypoint compared to Reference Point Group, and Manhattan mobility model in both DRP and OSLR p rotocols.
Dynamic Surface Interface Exchanges of Mercury: A Review and Compartmentalized Modeling Framework

Abstract This paper presents a review of recent natural surface mercury exchange research in the context of a new modeling framework. The literature indicates that the mercury biogeochemical flux is more dynamic than the current models predict, with interacting multimedia storage and processes. Although several natural mercury emissions models have been created and incorporated into air quality models (AQMs), none are coupled with air quality models on a mass balance basis, and all lack the capacity to explain processes that involve the transport of mercury across atmosphere–surface media concentration gradients. Existing natural mercury emission models treat the surface as both an infinite source and infinite sink for emissions and deposition, respectively, and estimate emissions through the following three pathways: soil, vegetation, and surface waters. The use of these three transport pathways, but with compartmentalized surface storage in a surface–vegetation–atmosphere transport (SVAT) resistance mod.
Non-durational acoustic correlates of word-initial consonant gemination in Kelantan Malay: The potential roles of amplitude and f0

This study reports on non-durational acoustic correlates of typologically rare word-initial consonant gemination in Kelantan Malay (KM) by focusing on two acoustic parameters – amplitude and f0. Given the unusual characteristics of the word-initial consonant contrast and its potential maintenance in domain-initial environments, this study sets to examine the extent to which amplitude and f0 can potentially characterise such a contrast in KM in addition to the cross-linguistically established acoustic correlate of closure duration. The production data involved elicited materials from sixteen KM native speakers. RMS and f0 values were measured at the start of the vowel following stops and sonorants produced in isolation (i.e. utterance-initial position) and in a carrier sentence (i.e. utterance-medial position). Results indicate that the consonant contrast is reflected in systematic differences in (i) vowel onset amplitude and f0 following the target consonant and (ii) the ratios of amplitude and f0 across two syllables of disyllabic words. There are also effects of utterance position, manner of articulation and voicing type on the magnitude of contrast between singletons and geminates with utterance-initial voiceless stops generally showing the greatest magnitude difference. The conclusion is drawn that the KM word-initial singleton/geminate consonant contrast can be associated with a set of acoustic parameters alongside closure duration.
Computational Models for Object Detection and Recognition

Object Detection and Recognition, being a fundamental problem in Computer Vision, is receiving increased importance these days. The motivation for this is its application in wide spectrum of fields like Video Summarization, Content Based Retrieval , Manufacturing, Inspection and Surveillance. This paper gives an overview of algorithms existing for object detection and recognition and their performance under different conditions. We also try to optimize the training datasets as training takes large amount of time. We also try to see some of the current theories for object recognition in humans and try to use them in our system. We finally proposed a system with detection using Haar Filters and Recognition using Scale Invariant Transform Features (SIFT).
Optical Spectroscopy and X-Ray Detections of a Sample of Quasars and Active Galactic Nuclei Selected in the Mid-Infrared from Two Spitzer Space Telescope Wide-Area Surveys

We present optical spectroscopy of a sample of 77 luminous active galactic nuclei (AGNs) and quasars selected on the basis of their mid-infrared colors. Our objects are selected from the Spitzer Extragalactic First Look Survey and the SWIRE XMM-Newton Large-Scale Structure Survey (XMM-LSS) fields, with a typical 24 μm flux density of 5 mJy. The median redshift is 0.6, with a range of ∼0.05-4. Only 33% (25 out of 77) of these objects are normal type 1 quasars, with no obscuration. Forty-four percent (34 out of 77) are type 2 objects, with high-ionization, narrow emission lines, and 14% (11 out of 77) are dust-reddened type 1 quasars, showing broad lines but a dust-reddened or unusually weak quasar continuum. Nine percent (7 out of 77) show no sign of an AGN in the optical spectrum, having either starburst spectra or spectra that could be of either starburst or LINER type. These latter objects are analogous to the X-ray-detected population of AGNs with weak or nonexistent optical AGN emission (the X-ray-bright, optically normal galaxies). Of our objects from the SWIRE field, 21 fall within moderately deep XMM-Newton exposures. All the unobscured quasars and about half the obscured quasars are detected in these exposures. This sample, when taken together with other samples of Spitzer-selected AGNs and quasars and results from X-ray studies, confirms that obscured AGNs dominate the AGN and quasar number counts of all rapidly accreting supermassive black hole systems, at least for z ≲ 4. This implies a high radiative efficiency for the black hole accretion process.
Handling documents and discriminating objects in hybrid spaces

Recently a number of researchers have uncovered various ways in which paper documents support everyday work practice and have suggested how these may be reflected in the design of new technologies. In this paper we consider how activities on and around paper documents may be supported when participants are remote from each other. When we consider the uses of an experimental system that provides a number of resources for supporting work over documents, it becomes apparent how critical it is to support apparently simple pointing and referencing, and how complex such conduct can be. This suggests some considerations both for developers of enhanced media spaces and analysts of everyday conduct.Clarified descriptions of technology and fragments including changes to figures. Added points concerning the scope of the technology the conception of sequence and calrified the requirement regarding redundancy. Revised descriptions of fragments in an atempt to make thsee less dense Corrected several typographic errors including those mentioned by the reviewers' gesture.
Evaluation of initial and medium-term follow-up results of balloon aortic valvuloplasty in severe aortic valve stenosis in newborns, infants and children in Alexandria, Egypt

Background: Aortic valve stenosis (AVS) represents 3%–7% of all congenital heart diseases. Balloon aortic valvuloplasty (BAoV) has been established as an alternative to surgery for therapy of AVS in infants and children; and has proven to be an effective method for decreasing the gradient between the left ventricle and the aorta. The objective of the study was to evaluate the initial and medium-term results of BAoV in newborns, infants and children with severe AS, treated at the Alexandria University Children’s Hospital.Methods: Thirty-seven newborns, infants and children with severe AS treated by B AoV between 2009 and 2017 were studied. They were followed-up for at least 1year post- ballooning by clinical and echocardiographic evaluation.Results: The mean AoV annulus diameter by echo was 13.1±4.4 mm and by angiographic measurement was 12.8±4.3 mm. The mean Doppler gradient across AoV was 91.8±14.7 mmHg, compared to mean catheter gradient of 66.1±13.4 mmHg. The mean inflated balloon diameter was 12.1±4.1 mm. The mean balloon/AoV annulus ratio by angiogram was 0.94±0.03 (0.88–1). The mean pressure gradient across the AoV post-ballooning was 21.5±6.9 mmHg by Doppler and was 10.3±4.7 mmHg by catheter, both were significantly less than pre-ballooning values (p<0.001). The procedure was successful in all the cases. Only one case died. Post -ballooning aortic incompetence was moderate in 2 cases (5.4%) and severe in only one case (2.7%). Conclusions: Balloon aortic valvuloplasty is an effective and safe technique for relieving severe aortic valvular stenosis with acceptable morbidity and minimal mortality, particularly with the new catheter and balloon technology.
A SURVEY OF CANNABIS CONSUMPTION AND IMPLICATIONS OF AN EXPERIMENTAL POLICY MANIPULATION AMONG YOUNG ADULTS

A SURVEY OF CANNABIS CONSUMPTION AND IMPLICATIONS OF AN EXPERIMENTAL POLICY MANIPULATION AMONG YOUNG ADULTS By Alyssa Rudy B.S. A thesis proposal submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University. Virginia Commonwealth University, 2018. Major Director: Dr. Caroline Cobb, Assistant Professor, Department of Psychology The purpose of this online cross-sectional study was to identify cannabis user profiles by administration method and examine how differential cannabis policies influence intentions among young adults. Participants were assigned randomly to one of three hypothetical cannabis policy conditions (recreationally legal; medically legal; illegal). Within conditions, participants completed measures regarding cannabis use, including administration methods, cannabis attitudes, norms, perceived behavioral control, self-efficacy, and intentions. Latent class analysis (LCA) was used to determine sub-groups of past 30-day cannabis users by administration method followed by sub-group comparisons. Condition effects on intentions and associated variables were examined using ANCOVA. Four classes (Low-Blunt, Low-Bong, Mod-Poly, High-Poly) differing in demographics and tobacco use were identified. Recreationally and medically legal policy conditions resulted in more favorable cannabis attitudes, higher selfefficacy, and higher intentions to use compared to the illegal policy condition. Results inform cannabis intervention efforts and longitudinal research on the effects of cannabis policy changes.
DETECTION OF ANTI-TOXOPLASMA ANTIBODIES AMONG PATIENTS WITH ACUTE LEUKEMIA OR LYMPHOMA USING LATEX AGGLUTINATION AND ELISA TESTS

Objective: to study the rate of infections of toxoplasmosis as an opportunistic infection among two groups of adult patients in Mosul city (Iraq) and surrounding areas. The first group was diagnosed before receiving any kind of anticancer therapy (BRT) and the second group after receiving their anti-cancer therapy (ART). Methods: Latex Agglutination (LA) test for detection of IgG antibodies and Enzyme Linked Immunosorbent Assay (ELIZA) test for detection of IgM antibodies were used. Chi-square test (X2) was used for statistical analysis. Results: Out of (90) samples tested of the (BRT) group, 43(48%) were positive for anti-Toxoplasma IgG antibodies by LA test. Out of (70) samples tested of the (ART) group, 25(36%) were positive for anti-Toxoplasma IgG antibodies using LA test. Statistically, there was no significant difference between the two groups. The study revealed that patients in both groups showed seropositive results using LA test, but sera of patients examined by ELISA test revealed that 8(19%) and 7(28%) were positive for (BRT) and (ART) groups respectively. Statistically, there was no significant difference between the two groups. Conclusions: 1. Patients with leukemia or lymphoma before and after receiving therapy showed great susceptibility to be infected with Toxoplasma gondii. 2. In both groups, detection of toxoplasma antibodies was higher among patients using (LA) test (48%) than that of ELISA test (19%) in (BRT) group, while in (ART) group (36%) were positive in (LA) test and (28%) in ELISA test. 3. Detection of antibodies of toxoplasmosis was higher among those who received both regimens of anti-cancer therapy (chemotherapy and radiotherapy) than those who receiving single type of therapy.
Optimality recovery of feedback control system based on discrete-time state dependent riccati equation

In this paper, optimality recovery of a control method based on the discrete-time state-dependent Riccati equation (DSDRE) is discussed. The relationship between the DSDRE method and the Hamilton-Jacobi-Bellman equation (HJBE) concerned with optimal control for discrete-time nonlinear systems is addressed briefly. Based on the relationship, the stability of the DSDRE method is investigated with the Lyapunov theorem. As a result, the asymptotical stability holds for the DSDRE strategy is proven for some special case, and the optimality does not hold under infinite-horizon criteria in general. Hence an iterative numerical method is proposed to improve and recover the optimality along a state trajectory obtained by the DSDRE strategy. The method is verified through numerical simulations.