Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying APT Malware Domain Based on Mobile DNS Logging

Advanced Persistent Threat (APT) is a serious threat against sensitive information. Current detection approaches are time-consuming since they detect APT attack by in-depth analysis of massive amounts of data after data breaches. Specifically, APT attackers make use of DNS to locate their command and control (C&C) servers and victims’ machines. In this paper, we propose an efficient approach to detect APT malware C&C domain with high accuracy by analyzing DNS logs. We first extract 15 features from DNS logs of mobile devices. According to Alexa ranking and the VirusTotal’s judgement result, we give each domain a score. Then, we select the most normal domains by the score metric. Finally, we utilize our anomaly detection algorithm, called Global Abnormal Forest (GAF), to identify malware C&C domains. We conduct a performance analysis to demonstrate that our approach is more efficient than other existing works in terms of calculation efficiency and recognition accuracy. Compared with Local Outlier Factor (LOF), -Nearest Neighbor (KNN), and Isolation Forest (iForest), our approach obtains more than 99% and for the detection of C&C domains. Our approach not only can reduce data volume that needs to be recorded and analyzed but also can be applicable to unsupervised learning.
Pioneer or imitate? An analysis of business imitations

Pioneering is meant to create a competitive advantage for businesses and yet imitations are accelerating globally, leaving businesses not knowing whether to pioneer or imitate. The purpose of this study was to make an analysis of the benefits and costs of pioneering and imitation, with the aim of possibly helping businesses to decide on which route to take, after considering their strengths and weaknesses. This was a desk research study which analyzed literature on business imitation and pioneering. It focused on imitation driven by technology; be it in products or services with a bias towards legal innovative imitation. The analysis was primarily dominated by literature obtained from developed countries because of the rich pool of research output on both concepts. Based on the findings, the paper concludes that most businesses are innovative imitations and technology has facilitated most of these imitations. Recommendations are that businesses should adopt innovative imitation, but do so legally and ethically. There is also need for more research studies on business imitation in order to come up with strategies that will accommodate global players.
based Marketing Track Post-impressions : Internet Advertising without Clic k-Through

This research compared the factors affecting the click-through and post impression rates of internet banner advertising. The data analysed included over 7 million impressions, with 739 placements, and covered 12 different campaigns. Post-impressions were correlated with click-throughs; the average click-through was 0.44% which compared to 0.13% for post-impressions. We found that targeting had a strong positive effect on both click-through and post impression rates, increased size had a small effect, but promotions and pricing had a negative effect.
DIIS and Hamiltonian diagonalisation for total-energy minimisation in the ONETEP program using the ScaLAPACK eigensolver.

Direct Inversion in the Iterative Subspace (DIIS) combined with Hamiltonian diagonalisation has been implemented in the ONETEP code for minimising the total energy of large systems using Density Functional Theory. This novel approach mixes the quantum single-particle density matrix at each iteration to accelerate the convergence of the self-consistent method in the inner loop of ONETEP. At each iteration the Hamiltonian matrix is diagonalised and a new density matrix is generated from its eigenvectors. Eigensolver routines working on dense matrices scale with the third power of the system size which makes difficult to simulate systems of thousands of atoms. The ScaLAPACK parallel eigensolver is assessed as a method for diagonalising the Hamiltonian matrix in this kind of calculations. The results show that the DIIS-Hamiltonian diagonalisation method works to a very high accuracy for systems of up to near 600 atoms and becomes unstable for larger systems. The ScaLAPACK parallel eigensolver has proven to enhance this approach by distributing the data over the processors which cooperate to find the solution of the system. The DIIS method is intended to be combined with ensemble-DFT methods for simulating metallic systems, which are not achievable with linear-scaling DFT approaches. The performance results show that it is possible to simulate systems of a few thousands of atoms with a computational effort that is comparable to linear-scaling DFT programs. The code that has been developed for this work will be added to the main ONETEP code repository and will be available to other users for active research on condensed matter theory.
Structural studies of the CDW interaction with defects

We present new X-ray diffuse scattering effects due to pinning of the phase of charge density waves (CDW's) on defects. The coherence between the position of a defect and the phase of a 2k F periodic lattice distortion gives rise to an asymmetry of the +2k F /-2k F diffuse intensity with respect to the layers of main Bragg reflections. This effect, negligible in the weak pining limit, becomes dominant for strong pinning. In addition, CDW phase distortions around defects produce an asymmetry of each individual 2k F diffuse lines. We first calculate the scattered intensity in these different cases that we illustrate by experimental results taken from charge transfer organic salts of the TTF-TCNQ family
Effects of viscoelastic supports on the behavior of bridges under moving vehicles

One of the most important problems facing structural engineers is the analysis of dynamic behavior of bridges subjected to moving vehicles. In addition, viscoelastic supports under bridges change their dynamic behavior under passing trac loads. This paper presents how to model a bridge with viscoelastic supports and how the maximum dynamic stress of bridges changes during the passing of moving vehicles. Furthermore, this paper presents an algorithm to solve the governing equation of the bridge with viscoelastic supports as well as the equation of motion of a real European truck with di erent speeds, simultaneously. Using viscoelastic supports with appropriate characteristics can make a signi cant di erence in the magnitude on the maximum dynamic stress of bridges. By nite di erence method, it will be shown that how much the sti ness and damping ofviscoelastic supports should be to have less impact and dynamic stresses in the bridges. It will be demonstrated that using viscoelastic supports can decrease the local maximum DAFs in the case of short and medium spans up to 5%. This study becomes more important where vehicle speeds are considerably high; therefore, the consequences of a full-length analysis with viscoelastic supports must be used to design safe bridges.
Analysis of the separated flow around a 5:1 rectangular cylinder through computational simulation

The aim of this paper is to provide a contribution to the analysis of the 3D, high Reynolds number, turbulent, separated and reattached flow around a fixed sharp-edged rectangular cylinder with a chord-to-depth ratio equal to 5. The present computational study is developed in the frame of the Benchmark on the Aerodynamics of a Rectangular Cylinder (BARC). First, the adopted flow modelling and computational approach are described. Second, some of the 2D mechanisms that are responsible for the variation of the fluctuating pressure on the side surface are scrutinised: the computational approach post-processing facilities are employed to point out the flow structures which mainly affect the vortex formation and shedding past the separation point and to look for significant relationships between them and the pressure field on the cylinder side surface
An Experimental Investigation of the Seismic Response of a Bridge due to Simultaneous Horizontal and Vertical Excitations

Investigations of the effects of strong vertical ground motions on structures have been gaining more attention in recent years. Many researchers have found that the assumptions in current design codes underestimate the significance of vertical excitations, especially in near-source earthquake events. Several numerical analyses have been conducted to investigate these effects. However, not many experimental works have been done. In this paper, a bridge model was excited simultaneously in the horizontal and vertical directions through a series of shake table tests. The bridge model was fixed to the base of the shake table. The seismic responses of the bridge structure in the longitudinal direction are discussed. It was found that the inclusion of vertical excitation can significantly increase the bending moment demand of the bridge deck and the development of axial force and plastic hinging in the bridge piers. However, the bending moment demand in the bridge piers have not been greatly affected by the vertical excitations.
Retinal blood vessel segmentation: methods and implementations

Since the retinal blood vessel has been acknowledged as an indispensable element in both ophthalmological and cardiovascular disease diagnosis, the accurate segmentation of the retinal vessel tree has become the prerequisite step for automatic or computer-aided diagnosis systems. In the attempt to fulfill the need of the accurate, robust, and fast automated vessel segmentation method, this thesis, therefore, has investigated different works of image segmentation algorithms and techniques, including unsupervised and supervised methods. Further, the thesis has developed and implemented two systems of the accurate retinal vessel segmentation. The methodologies explained and analyzed in this thesis, have been selected as the most efficient approaches to achieve higher precision, better robustness, and faster execution speed, to meet the strict standard of the modern medical imaging. Based on the intensive investigation and experiments, this thesis has proposed two outstanding implementations of the retinal blood vessel segmentation. The first implementation focuses on the fast, accurate and robust extraction of the retinal vessels using unsupervised techniques, by applying morphology-based global thresholding to draw the retinal venule structure and centerline detection to extract the capillaries. Besides, this system has been designed to minimize the computing complexity and to process multiple independent procedures in parallel. The second proposed system has especially focused on robustness and accuracy in regardless of execution time. This method has utilized the full convolutional neural network trained from a pre-trained semantic segmentation model, which is also called the transfer deep learning. This proposed method has simplified the typical retinal vessel segmentation problem from full-size image segmentation to regional vessel element recognition. Both of the implementations have outperformed their related works and have presented a remarkable scientific value for future computer-aided diagnosis applications. What’s more, this thesis is also a research guide which provide readers with the comprehensive knowledge on how to research on the task of retinal vessel segmentation.
Generation of high power terahertz pulses and applications

Here we report on our latest results in creating highpower terahertz pulses by means of optical rectification technique and their application in various fields. We investigated terahertz generation in organic crystals DSTMS, DAST and OH1 directly pumped by a Cr: forsterite laser at central wavelength of 1.25 μm. This pump laser technology provides a laser-to-THz energy conversion efficiency higher than 3%. Phase-matching is demonstrated over a broad 0.1–8 THz frequency range. In our simple setup, we achieved hundred μJ pulses in tight focus resulting in electric and magnetic field larger than 10 MV/cm and 3 Tesla [1]. We’ve applied a novel method for measuring the THz spatial distribution of in the focal plane of a parabolic mirror based on generation of the second-harmonic radiation in the optical region of spectrum in centrosymmetric crystals under action of a powerful terahertz pulse with subsequent image transfer to iCCD camera (Fig. 1).
Design as enabler of anticipatory systems: The MakeinProgress case study

In this paper we investigated the relationship between anticipation and design. Through a case study, we analysed the role Design plays among the anticipation processes in regards to the development of a territory. The functional structure of anticipation is based on a three-part scheme: a normal part, a model of the normal part, a steering device able to steer the normal part according to the outcomes of the model. The case study represented the model whereby the possible evolution of the normal part is experienced. The aim was to test whether design could enable anticipatory systems by operating as steering device and by supporting its action through processes of prefiguration, vision and realization. The case study ‘MakeinProgress’ (MiP) was born from an opportunity in the territory — the architectural recovery of a former “Filanda”, funded by local authorities with public financing. The MiP project started as an incubator and then converted with the intervention of design. To convert MiP we applied an action-research approach. In the case of MiP, the local community could be seen as an autopoietic system, whereas the tools, belonging to the Service Design and to the Design for Social Innovation, acted as steering device. The paper presents the process whereby people were enabled to define new job opportunities out of their passions, to exploit the available space to the best of its potential, linking the territory to the national and international circuits. MiP is a concrete demonstration of the possible role of Design among anticipation mechanisms, thanks to the application of Service Design tools. MiP also acts as support for the creation of models to be used to support the public system and governments and to support the community. Keywords: MakeinProgress, Anticipation, Service Design, Social Innovation.
Differential responses of pea seedlings to salicylic acid under UV-B stress

In nature, plants are continuously exposed to solar light. They cannot avoid exposure to UV-B radiation. The purpose of this investigation was to examine how UV-B radiation affects seed germination, seedling growth, protein and sugar contents and activities of antioxidant enzymes in pea (Pisum sativum) seedlings. Salicylic acid mediated physiological responses in UVB stressed pea seedlings. UV-B exposure adversely affected germination and physiology of Pisum sativum L. Salicylic acid mitigated the impacts of UV-B stress. Seed germination decreased with increased duration of UV-B exposure. Enhanced activities of antioxidant enzymes in response to UV-B radiation played a protective role against UV-B radiation.
Towards guideline implementation for integrated local health policies : Evaluation of an experimental implementation strategy in regional health services

Background: To enhance implementation of a Guideline for integrated local health policy, a draft implementation strategy (DIS) was developed. It was hypothesized that the DIS would be feasible and effective to enhance the use of a Guideline for integrated local health policy. To examine its feasibility and effectiveness, the DIS was pilot tested simultaneously in two Regional Health Services (RHSs) and compared with the 'care as usual' in two other RHSs that did not receive a predefined strategy for Guideline implementation. Material and methods: The DIS was evaluated in a qualitative way by means of semi-structured individual-and group interviews. We applied the Nutbeam framework for evaluation on: i) program integrity, ii) program reach, iii) program acceptability, and iv) observed change. Comparison of pilot results with the two other RHSs included semi-structured group interviews. Main findings: Both RHSs conducted implementation largely as planned. The purpose of the Guideline for RHS policy objectives was not discussed at all desired levels. Increased Guideline use was mainly found among health promoters. Comparison with Guideline implementation in the other RHSs revealed information for further evaluation of the DIS. Conclusion: The feasibility and effectiveness of the DIS applied to building blocks which aimed at alignment of goals and ambitions between RHS management and executive disciplines. Possible implications for future application of the DIS are dealt with in the discussion section of this paper.
Risk-return Predictions with the Fama-french Three-factor Model Betas

A three-factor model regime has replaced the CAPM regime in academic research. The CAPM regime may be said to have ended with Fama and French’s (1992) finding that market beta does not predict return. Strangely, the three-factor model has not received scrutiny relative to the ability of the model to predict return and variation in return for portfolios. In this paper we test the ability of the three-factor model to predict return and return variation. We find that portfolios can be formed on the basis of the three-factor that vary with expectations in terms of risk and return. We find, however, that the CAPM performs these goals with greater efficiency. In particular expected returns for extreme portfolios are poor predictors of actual returns. Raising questions about the use of the three-factor model to risk adjust. We dissect the three-factor model’s predictive ability and find that inclusion of the systematic risk variable dealing with the book-to-market ratio distorts predictions and that a model including the market beta and the factor loading dealing with firm size seems to predict more efficiently than either the three-factor model or the CAPM.
Création et utilisation de chimiothèques optimisées pour la recherche in silico de nouveaux composés bioactifs

Les tests de criblages, qu’ils soient reels ou virtuels, permettent d’explorer des espaces chimiques donnes afin d’identifier de nouveaux principes actifs potentiels. Le choix des molecules a tester joue un role essentiel dans le succes d’un criblage. Les deux etapes importantes dans la preparation des molecules pour le criblage sont le choix, pour un test de criblage donne, de l’ensemble des molecules a considerer et la selection, au sein de cet ensemble, des molecules pertinentes. Idealement la preparation des composes destines au criblage devrait se faire grâce a un logiciel dedie a cette problematique. Il n’existe cependant aucun logiciel qui soit completement adapte. Nous avons donc entrepris le developpement d’un logiciel de ce type : ScreeningAssistant. Ce logiciel s’appuie sur un systeme de gestion de bases de donnees et permet de creer et de maintenir a jour des chimiotheques de plusieurs millions de molecules uniques provenant de fournisseurs differents. Il permet egalement de filtrer les structures, en eliminant les molecules potentiellement problematiques ou avec des probabilites d’activites faibles, et de selectionner un ensemble de composes divers. Des analyses graphiques automatiques sont egalement disponibles. Ce logiciel a ete utilise pour l’analyse d’une base de 5 millions de references provenant de 38 fournisseurs de produits chimiques. La proportion de composes uniques, originaux, « drug-like », « lead-like », et divers ont ete compares. La diversite a ete etudiee en utilisant des notions differentes, et un score de diversite globale, prenant en compte la diversite suivant les differents criteres, a ete propose. Differentes applications de selection de composes pour le criblage sont presentees. Ces applications utilisent le programme ScreeningAssistant et d’autres algorithmes developpes pour resoudre certains problemes particuliers.
HOW can WE picture YOU? - Encoding and decoding ‘African women’ in fundraising campaigns

Visual discourses on ‘African women’ in the fundraising campaigns of non-governmental organizations (NGOs) hold the potential for stereotype creation. Previous research has shown that Africans are often portrayed with deficiencies (e.g. lack of water, education and productivity). By using Stuarts Hall´s theory of encoding and decoding, which highlights the active role of the audience in interpreting media discourses, a more nuanced analysis of visual communication via NGO fundraising is made. Designed as a case study, it seeks to understand how two different groups of women, namely Southern African and German women interpret three campaigns. The thesis generates a clearer understanding of the role of fundraising campaigns in intercultural communication and the interpretive power of the audience. It shows that there is a reciprocal relationship between NGO and audience, which shapes how Africans are presented and calls, in this regard, for a rethinking of NGO practices.
Dominant Logic approach for health service information system: value creation and co-creation through asynchronous communication

ABSTRACT This paper uses the approach known as Service Dominant Logic (SDL) and Co-creation of value to introduce the basic concepts of Service Science and SDL in the health information system area. Then the article shows that interaction through asynchronous communication may produce value. In this approach, one should not separate product attributes from service attributes, since they are complementary. Some Marketing concepts are present in our daily routine and can be applied to several service domains such as Education, Transport, Public Services, Health and Information and Communication Technology. Users of Health Systems have already been ranked in the context of Service Science. As part of an ongoing research that explores the use of virtual forums, the article presents an example - using the Forum DATASUS - to show the importance of interaction via asynchronous communication tool between users and service providers, in the development and implementation of Health Information Systems. Keywords: Services, ICT; Datasus; Forum; Health
From cloud computing to fog computing in Healthcare big data

In Healthcare big data, data is originated from various heterogeneous sources. Numerous novel base particular healthcare applications offered to handling source of data from electronic health record (EHR) to medical images. Imaging, Electronic Health Report, technology in light of sensor and numerous different procedures created an immense measure of Healthcare data. Cloud computing development was an excellent paradigm to substantiate big data which incited find of imperceptible examples. Cloud computing is a developing new registering design intended to answer different contending administrations on the Web. Fog Computing is a design style in which arrange segments amongst devices and the cloud execute application-particular rationale. We in this paper investigate, characterize, and talk about various application of cloud and fog computing. We talk about the impact of cloud computing and fog computing on healthcare big data. Cloud base framework for Homediagnosis Service, Fog computing architecture and the justification of moving from cloud to Fog presented comprehensively in this paper.