Miracle-dz/UniFAR-FTUs huggingface dataset:
Inducing Vulnerability Testing to Enhance Performance

Software engineering principles and practice are primarily focused in a conceptual environment where the entire software as a whole is scrutinized to identify vulnerabilities. There are many inadequacies of such behavior based software engineering as such conceptual software engineering is to integrate the cause of such cases into the complete series of existing and promising software engineering principles and practices. This model is to generate a testing tool that features in identifying vulnerabilities to increase the performance of the software. This is done by trying out the various known sequence, and the results are checked for consistency. Since systems grow in size and complexity, the performance-based vulnerability is becoming a more challenging task. This model is step by step validation processes that are induced to generate the vulnerability prediction tool for the software during its development process. This tool is used to identify vulnerability to provide software quality assurance. This is done by studying most of the known computer attacks and the safeguard measure against such vulnerabilities is applied early in the software development life cycle. This model is to check whether the software exhibits proper behavior when improper usage or improper input is given to the system, and this logic is carried out in every phase of the software development life cycle.
Protein status of brown rice grain in different genotypes cultivated in Thoothukudi district of Tamil Nadu, India

A study was conducted to evaluate the Protein status of Brown Rice grain in different genotypes at Agricultural College & Research Institute, Thoothukudi district of Tamil Nadu, India during the period from April 2015 to March 2017. In the present study, twenty different rice varieties inclusive of two traditional cultivars cultivated in and around Thoothukudi district of Tamil Nadu as the test rice grains in the form of Brown rice in completely randomized design with three replications were tried. Screening and evaluation of protein content in 20 rice genotypes were carried out to identify protein rich genotypes. Biochemical research based on five different traits including contents of albumin (Alb), globulin (Glo), prolamin (Pro), glutelin (Glu) and total or gross grain storage protein (GGSP) were carried out. I estimated the relative contribution of Albumin as 0.47 to 1.8 g/100g, globulin as 1.3 to 4.0 g/100g, prolamin as 0.24 to 3.16 g/100g and glutelin as 1.63 to 5.1 g/100g. There was a considerable variation in Gross grain protein contents among Brown rice of twenty cultivars ranged from 6.9 to 9.9 g/100g. Gross grain protein contents were higher in Purple puttu, ASD 16 and ADT 45. The result on status of protein showed that CO (R) 48 had the highest Albumin content. ASD 16 exhibited the highest globulin content. The lowest prolamin content was found in ADT 39, whereas the highest content of glutelin was found in Purple puttu. The overall results of this study revealed that Purple puttu, ADT 39 and ASD 18 were considered as Top three genotypes suitable for Thoothukudi district farmers based on consumer preferences.
First report of Ceratocephalus falcatus smut caused by Urocystis eranthidis

Accepted: 10 April 2017 Symptoms of smut were observed on stems of Ceratocephalus falcatus plants collected from Maragheh, Northwest of Iran, in June 2016. Using morphological and molecular techniques, the fungus was identified as Urocystis eranthidis. To our knowledge, it is the first report of U. eranthidis from Iran and also the first record of the species on C. falcatus.
Student Performance Analysis and Biometric Attendance

- In today’s time, the performance of the student is decreasing gradually. Because of this unemployment in our country is increasing at a very high rate. So, we need to analyze the performance of a student and increase the efﬁciency of a student. In this project, we have taken various factors that affect the performance of the student. In many schools and colleges, the traditional method is used to record attendance. Later all the data is entered in computer and aggregate attendance is calculated. Due to this data redundancy, inconsistency and data insecurity occurs and also the attendance of latecomers and absentee students are marked. In our system Initially, the teacher’s authentication is important to start the portal and then student’s attendance is taken. In this system, attendance is implemented using Arduino. A web application is created using Python scripting. The advantage of this method is that the attendance of latecomers is not marked. It is user-friendly, more secure and there is no data redundancy or inconsistency and affordable.
Estimating deer density and abundance using spatial mark–resight models with camera trap data

Globally, many wild deer populations are actively studied or managed for conservation, hunting, or damage mitigation purposes. These studies require reliable estimates of population state parameters, such as density or abundance, with a level of precision that is fit for purpose. Such estimates can be difficult to attain for many populations that occur in situations that are poorly suited to common survey methods. We evaluated the utility of combining camera trap survey data, in which a small proportion of the sample is individually recognizable using natural markings, with spatial mark–resight (SMR) models to estimate deer density in a variety of situations. We surveyed 13 deer populations comprising four deer species (Cervus unicolor, C. timorensis, C. elaphus, Dama dama) at nine widely separated sites, and used Bayesian SMR models to estimate population densities and abundances. Twelve surveys provided sufficient data for analysis and seven produced density estimates with coefficients of variation (CVs) ≤ 0.25. Estimated densities ranged from 0.3 to 24.6 deer km–2. Camera trap surveys and SMR models provided a powerful and flexible approach for estimating deer densities in populations in which many detections were not individually identifiable, and they should provide useful density estimates under a wide range of conditions that are not amenable to more widely used methods. In the absence of specific local information on deer detectability and movement patterns, we recommend that at least 30 cameras be spaced at 500–1,000 m and set for 90 days. This approach could also be applied to large mammals other than deer.
(2007) Liquid film dynamics in horizontal and tilted tubes: dry spots and sliding drops. Physics of Fluids . (In Press)

Using a model derived from lubrication theory, we consider the evolution of a thin viscous ﬂlm coating the interior or exterior of a cylindrical tube. The (cid:176)ow is driven by surface tension and gravity and the liquid is assumed to wet the cylinder perfectly. When the tube is horizontal, we use large-time simulations to describe the bifurcation structure of the capillary equilibria appearing at low Bond number. We identify a new ﬂlm conﬂguration in which an isolated dry patch appears at the top of the tube and demonstrate hysteresis in the transition between rivulets and annular collars as the tube length is varied. For a tube tilted to the vertical, we show how a long initially uniform rivulet can break up ﬂrst into isolated drops and then annular collars, which subsequently merge. We also show that the speed at which a localized drop moves down the base of a tilted tube is non-monotonic in tilt angle.
International Journal of Advanced Research in Computer Science and Software Engineering

-complex Keyword query on databases give easy access to data, but undergo poor ranking quality, i.e., low precision and/or recall. It would be very easy if we identify queries that are likely to have low ranking quality.so we may suggest some alternative queries for such complex queries so the the desired results may appear at the top. aim of this paper is to Estimate characteristics of complex keyword queries and propose a to count the degree of hardness for a complex keyword query over a database, allowing for both the design and the content of the database and the results of query. There are query difficulty pre-diction model but results indicate that even with structured data, finding the desired answers to keyword queries is still a hard task. Further, paper present a new approach is nothing but extended outline in which before calculating Structured Robustness score we are applying the K-means clustering to divide input dataset into number of clusters those having legitimate is. As well, we will use Semantic and Syntactic structure of keyword Query such as syntactical features, and semantic features for smart prediction of keyword queries over database which will minimize Time required for predicting the complex keywords over large databases and process becomes Efficient and accurate.
Integrated MANET Routing Scheme for Heterogeneous Networks

: Future wireless networks aim in ubiquitous computing that maintains connectivity between mobile units without any constraints on time, place and type of media and connectivity. Connectivity in such networks needs to be maintained with less cost and time. MANET, an infrastructure-less wireless network can be used to maintain connectivity in future networks with the help of Multi MANET Gateway nodes (MMGW). MMGW can be used to connect MANET with any other category of network namely Cellular, WLAN, Satellite, WSN, Internet etc. This paper proposes an integration model, which enable a mobile user to maintain connectivity while mobile. MANET routing protocol AODV is modified to incorporate gateway initialization, discovery and selection procedures. Link stability and path stability are the main two parameters used to find the best gateway and path. A simulation model was developed and performance analysis was done to compare the working of MMGW under different networks.
3-D STRUCTURE PREDICTION AND ANALYSIS OF THE P7- TRANSACTIVATED PROTEIN1OF HEPATITIS C VIRUS

The p7-transactivated protein of Hepatitis C virus is a small integral membrane protein of 127 amino acids, which is crucial for assembly and release of infectious virions. Ab initio and comparative modelling, is an essential tool to solve the problem of protein structure prediction and to comprehend the physicochemical fundemental of how proteins fold in nature. Only one domain (1-127) of p7 had been predicted using the systematic in silico approach, Threa Dom. ITASSERwas ranked as the best server for full-length 3-Dprotein structural predictions of p7 where the benchmarked scoring system such as C-score, TM-score, RMSD and Z-score are used to obtain quantitative assessments of the I-TASSER models. Scanning protein motif databases, along with secondary and surface accessibility predictions integrated with post translational modification sites (PTMs) prediction revealed functional and protein binding motifs. Three protein binding motifs (two Asp/Glutamnse, CTNNB1-bd_N) with high sequence conservation and two PTMs prediction: Camp_phospho_site and Myristyl site were predicted using BLOCKS and PROSITE scan. These motifs and PTMs were related to the function of p7 protein in inducing ion channel/pore and release of infectious virions. Using SCOP, only one hit matched protein sequence at 71-120 andwas classified as small proteins and FYVE/PHD zinc finger super family. 84 MAHMOUD EL HEFNAWI et al. Integrating this information about the p7protein with SCOP and CATH annotations of the templates facilitate the assignment of structure–function/ evolution relationships to known and newly determined protein structures.
TNF-α and IL-1 Sequentially Induce Endothelial ICAM-1 and VCAM-1 Expression in MRL/lpr Lupus-Prone Mice

Dysfunctional leukocyte-endothelial interactions are thought to play a key role in systemic lupus erythematosus pathogenesis. We questioned the importance of TNF-α and IL-1 for endothelial activation in MRL/lpr lupus-prone mice. Endothelial ICAM-1 and VCAM-1 expression increased significantly with disease evolution in kidney, heart, and brain, as shown by i.v. injected radiolabeled Ab uptake. Lung endothelial VCAM-1 also increased, while lung endothelial ICAM-1 did not rise above a high basal level. Immunoassays showed a significantly raised circulating level of TNF-α by 14 wk, with levels of circulating IL-1α and IL-1β being additionally raised by 20 wk. With 14-wk-old MRL/lpr, anti-TNF-α antiserum inhibited expression of ICAM-1 and VCAM-1 by endothelial cells cultured with sera in vitro, and uptake of anti-ICAM-1 and anti-VCAM-1 mAb in lung, kidney, brain, and heart in vivo. In contrast, both anti-TNF-α and anti-IL-1 antisera were required for maximal inhibition in vitro and in vivo at 20 wk. These data indicate that TNF-α is largely responsible for the early up-regulation of endothelial ICAM-1 and VCAM-1, but that IL-1 enhances expression in late disease. Our observations provide novel insights of possible relevance to understanding endothelial activation in systemic lupus erythematosus, and highlight an approach that can be extended to dissecting other chronic inflammatory diseases.
Challenges Related to Assessing Posttraumatic Stress Symptoms in Children and Adolescents: A Generalizability Theory Study

The aims of the study were: 1) To assess different sources of variation of posttraumatic stress symptoms, and 2) to estimate the generalizability of symptom scores in a multi-facet assessment situation by taking into account different sources of measurement error. The Child PTSD Symptom Scale was administered to a clinical sample of 301 children and adolescents age 10 to 18 who had experienced one or more traumatic events. The facets of observation included raters, clinics, items, and traumatic symptoms clusters. Two perspectives on the conceptualization of the PTSD symptoms were applied. Estimated G-study variance and covariance components did not support the differentiation between the three à priori defined clusters re-experiencing, avoidance, and hyper arousal. The D-study results showed acceptable generalizability and dependability coefficients.
Underwater explosion and its effects on nonlinear behavior of an arch dam

In the present paper, the behavior of the Karaj double curvature arch dam is studied focusing on the effects of structural nonlinearity on the responses of the dam body when an underwater explosion occurred in the reservoir medium. The explosive sources are located at different distances from the dam and the effects of the cavitation and the initial shock wave of the explosion are considered. Different amount of TNT are considered. Two different linear and nonlinear behavior are assumed in the analysis and the dam body is assumed with and without contraction joints. Radial, tangential and vertical displacements of the dam crest are obtained. Moreover, maximum and minimum principal stress distributions are plotted. Based on the results, the dam body responses are sensitive to the insertion of joints and constitutive model considered for the dam body.
A novel multitask learning frame work for forecasting models of the locations

- Spatial occasion determining from online networking is conceivably amazingly helpful however experiences basic difficulties, for example, the dynamic examples of highlights (catchphrases) and geographic heterogeneity (e.g., spatial relationships, imbalanced examples, and unique populaces in various areas). Most existing methodologies (e.g., LASSO relapse, dynamic question extension, and burst identification) address a few, yet not all, of these difficulties. Here we propose a novel multi-errand learning system that intends to simultaneously address every one of the difficulties included. In particular, given a gathering of areas (e.g., urban communities), anticipating models are worked for all the areas all the while by extricating and using proper shared data that viably expands the example estimate for each area, in this way enhancing the estimating execution. The new model consolidates both static highlights got from a predefined vocabulary by area specialists and dynamic highlights produced from dynamic inquiry extension in a multi-errand include learning structure. Distinctive systems to adjust homogeneity and decent variety amongst static and dynamic terms are likewise explored. Furthermore, productive calculations in light of Iterative Group Hard Thresholding are created to accomplish proficient and successful model preparing and expectation. Broad trial assessments on Twitter information from common distress and flu episode datasets show the adequacy and productivity of our proposed approach.
Toscana Virus Isolated from Sandflies, Tunisia

On July 25, 2012, SBV infection was identified in a cow in Jura Canton in the northwestern, French-speaking region of Switzerland (Romandie) (7). A serologic study conducted in the United Kingdom showed that several cattle and sheep seroconverted for SBV in 2012 (8). However, our data show that SBV survived the winter, when midge numbers decreased. The precise mechanisms of SBV overwintering are not known and need to be explored. The consequences of SBV recirculation should be investigated, particularly in pregnant cows, ewes, and goats. The 2 SBV-positive farms described in this report are located in a previously SBV-free area (FinistèreBrittany) or an area in which the infection rate was low (PyrénéesAtlantiques) in the winter of 2011– 2012, during which seroprevalence for most herds was probably weak (C. Sailleau et al., unpub. data). Therefore, reemergence of cases of congenital forms of SBV infection in France and others areas of Europe can be expected.
MULΉPLICITY-FREE SPACES

Introduction Let G be a Lie group. A unitary representation of G on a Hubert space, 77, is called multiplicty-free if every irreducible representation of G occurs in H with multiplicity zero or one. It is easy to see that this is the case if and only if the ring of bounded G-invariant operators on H is commutative. In this paper we will examine the symplectic analogue of this situation: Let X be a symplectic manifold on which G acts in a Hamiltonian fashion. If one thinks of the bounded operators on H as "quantum observables" and the functions on X as "classical observables" the analogue of the situation above is that the ring of G-invariant functions on X be commutative with respect to Poisson-bracket. If this happens we will say that X is multiplicity-free. We were led to the study of such manifolds by some questions in dynamical systems. Let Φ : X -» g* be the moment mapping. A function of the type /° Φ, for / : g* -» R, is called collective (cf. [6]); a completely integrable system consisting of functions of this type is called a collective completely integrable system (see [12] or [20]). We noticed [12], that a necessary condition for X to admit a collective completely integrable system is that it be multiplicity-free. We also proved that for certain groups, in particular for U(n) and O(n\ this condition is sufficient as well. This paper will consist of two parts. In part one we will study the local structure of multiplicity-free spaces in the neighborhood of a fixed coisotropic orbit. We will confine ourselves to the case where G is compact and connected, though many of our results are true more generally. Our first main result will be that the problem of determining the local structure of such spaces, up to isomorphism, can be reduced to the special case where X is a cotangent bundle. This reduction will involve two pieces of symplectic engineering which are of considerable interest in their own right. The first, the "induction" construction, is well known, but we will present it here in a somewhat unfamiliar guise. The second, the "cross-section" construction, was partly inspired by the material in
OP-ICVA200227 1..9

OBJECTIVES: The aim of this study was to evaluate the clinical implication of tumour spread through air spaces (STAS) as a prognostic factor in pathological stage I lung adenocarcinoma treated with lobectomy and to identify related parameters. METHODS: Medical records of patients who underwent pulmonary lobectomy for stage I (American Joint Committee on Cancers eighth edition) lung adenocarcinomas between 2012 and February 2018 at our institutions were reviewed retrospectively. Patients with minimally invasive adenocarcinomas and tumours >_3 cm in size were excluded. Included patients were classified into STAS (+) and STAS (-) groups. Clinical implications of STAS and recurrence in patients were investigated. RESULTS: A total of 109 patients was analysed: 41 (37.6%) in the STAS (+) and 68 (62.4%) in the STAS (-) group. STAS was associated with larger consolidation diameter on chest tomography (>_1.5 cm; P = 0.006) or a higher invasive ratio (>_85%; P = 0.012) and presence of a micropapillary pattern in multivariable analysis (P = 0.003) The recurrence-free survival curve showed statistical difference (P = 0.008) with The first two authors contributed equally to this work. Accepted for presentation at the European Society of Thoracic Surgeons Annual Meeting 2020. TH O R A C IC VC The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved. Interactive CardioVascular and Thoracic Surgery (2020) 1–9 ORIGINAL ARTICLE doi:10.1093/icvts/ivaa227 D ow naded rom http/academ ic.p.com /icvts/advance-art.1093/icvts/ivaa227/6000272 by gest on 29 N ovem er 2020 3-year survival rates of 73.0% (9 patients) and 96.8% (2 patients) in the STAS (+) and STAS (-) group, respectively. However, no statistical significance was observed in the lung cancer-related survival curve (P = 0.648). The presence of STAS was an independent risk factor for recurrence in multivariable analysis (hazard ratio = 5.9, P = 0.031). CONCLUSIONS: The presence of STAS could be an important risk factor for recurrence in patients with early-stage invasive lung adenocarcinoma treated with pulmonary lobectomy.
Delft University of Technology Immediate effects of immersive biofeedback on gait in children with cerebral palsy

Objective: To investigate the immediate response to avatar-based biofeedback on 3 clinically important gait parameters: step length, knee extension, and ankle power in children with cerebral palsy (CP). Design: Repeated measures design. Setting: Rehabilitation clinic. Participants: Children with spastic paresis (NZ22; 10.5 3.1y), able to walk without assistive devices. Intervention: Children walked on a treadmill with a virtual reality environment. Following baseline gait analysis, they were challenged to improve aspects of gait. Children visualized themselves as an avatar, representing movement in real time. They underwent a series of 2-minute trials receiving avatar-based biofeedback on step length, knee extension, and ankle power. To investigate optimization of biofeedback visualization, additional trials in which knee extension was visualized as a simple bar with no avatar; and avatar alone with no specific biofeedback were