Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Pass Malware Sandbox Analysis with Controlled Internet Connection

Malware sandbox analysis, in which a malware sample is actually executed in a testing environment (i.e. sandbox) to observe its behavior, is one of the promising approaches to tackling the emerging threats of exploding malware. As a lot of recent malware actively communicates with remote hosts over the Internet, sandboxes should also support an Internet connection, otherwise important malware behavior may not be observed. In this paper, we propose a multi-pass sandbox analysis with a controlled Internet connection. In the proposed method, we start our analysis with an isolated sandbox and an emulated Internet that consists of a set of dummy servers and hosts that run vulnerable services, called Honeypots in the Sandbox (HitS). All outbound connections from the victim host are closely inspected to see if they could be connected to the real Internet. We iterate the above process until no new behaviors are observed. We implemented the proposed method in a completely automated fashion and evaluated it with malware samples recently captured in the wild. Using a simple containment policy that authorizes only certain application protocols, namely, HTTP, IRC, and DNS, we were able to observe a greater variety of behaviors compared with the completely isolated sandbox. Meanwhile, we confirmed that a noticeable number of IP scans, vulnerability exploitations, and DoS attacks are successfully contained in the sandbox. Additionally, a brief comparison with two existing sandbox analysis systems, Norman Sandbox and CWSandbox, are shown.
Artificial intelligence based control of 3D inverted pendulum

In this paper the design and development of a control system for three dimensional inverted pendulum is proposed. The 3D inverted pendulum is related to rocket or missile guidance, where the center of gravity is located behind the center of drag causing aerodynamic instability. Three dimensional inverted pendulum is highly non-linear system. The Simulink model of 3D pendulum in this work is associated with the virtual world. Analysis is done on three dimensional inverted pendulum with additional position and angle into a two dimensional inverted pendulum. Comparative study of simulation results of walking control using PID controller and fuzzy logic controller are presented.
Global stability of models of humoral immunity against multiple viral strains

We analyse, from a mathematical point of view, the global stability of equilibria for models describing the interaction between infectious agents and humoral immunity. We consider the models that contain the variables of pathogens explicitly. The first model considers the situation where only a single strain exists. For the single strain model, the disease steady state is globally asymptotically stable if the basic reproductive ratio is greater than one. The other models consider the situations where multiple strains exist. For the multi-strain models, the disease steady state is globally asymptotically stable. In the model that does not explicitly contain an immune variable, only one strain with the maximum basic reproductive ratio can survive at the steady state. However, in our models explicitly involving the immune system, multiple strains coexist at the steady state.
Outage Probability Minimization under Both The Transmit and Interference Power Constraints for Fading Channels in Cognitive Radio Networks

In this paper, we consider a spectrum-sharing environment where a secondary user (SU) is allowed to access the spectrum allocated to a primary user (PU) on condition that the interference power received at the receiver of PU is below a predefined threshold. In particular, besides this interference power constraint defined to protect the PU, we also consider the power limit at the transmitter of the SU. Under such a setup, we derive the optimal power allocation strategies to achieve the minimum outage probability for fading channels and quantify the relationship between the power constraints and the outage probability. Besides, we also study the zero-outage capacity (also known as delay-limited capacity) under the same setup. Finally, computer simulations are conducted to verify our theoretical results.
IT Service Climate: A Definition and Research Model

Perry was the first educational leader to explicitly write about how school climate affects students' and the process of learning (Perry, 1908). The systematic study of school climate Although there is not one commonly accepted definition for school climate, the vast majority of researchers and scholars suggest that school climate, essentially, reflects subjective experience in school (Cohen, 2006). Over the last two decades, educators and researchers have recognized that there are complex sets of elements that make up school climate. There is not one commonly accepted 'list " of the essential dimensions that color and shape school climate. A review of research, practitioner and scholarly writings suggests that there are ten essential dimensions that color and shape our subjective experience Over the last two decades there has been an extraordinary and growing body of research that attests to the importance of school climate. School climate – not surprisingly and by definition – has a profound impact on individual experience. Two aspects of school climate (commitment to school and positive feedback from teachers) have been shown to affect students' self-esteem (Hoge, et. al, 1990). The social emotional climate of schools is predictive of mother's reports of their school age children alcohol use and psychiatric problems (Kasen, Johnson & Cohen, 1990). Research has also revealed a relationship between school climate and student self-A growing body of research indicates that positive school climate is a critical dimension linked to effective risk prevention and health promotion efforts as well as teaching and Recent research reviews have shown that effective risk prevention and health promotion efforts are correlated with safe, caring, participatory and responsive school climate Safe, caring, participatory and responsive school climate tends to foster great attachment to school as well as providing the optional foundation for social, emotional and academic learning (Blum, et. al., 2002; Osterman, 2000). One of the fundamentally important dimensions of school climate is relational and how " connected " people feel to one another in school. There is a growing body of research that suggests that connectedness is a powerful predictor of adolescent heath and academic outcomes (McNeely, et.
Motivational Resources for Physical Exercises : Evaluation of User Experience in Mobile Fitness Applications

Mobile devices may act as support tools to achieve a balance between the technologic world and a physically active life, through the use of Mobile Fitness Applications (MFA), for example. However, keeping a long-term routine of exercising, even with the support of MFAs, demands high levels of motivation. In this paper we present an analysis of how MFAs with support for jogging and running have been dealing with aspects related to the first experiences of use and to the motivation for evolving on the exercises, among young adults. In this initial study, we used analytic and empirical evaluation methods, exploring usability, user experience and emotional aspects. The results show the relation between motivational and emotional aspects and MFAs resources, as well as the quality of its resources.
Foundations and Implications of a Proposed Unified Services Theory

Diverse businesses, such as garbage collection, retail banking, and management consulting are often tied together under the heading of “services”, based on little more than a perception that they are intangible and do not manufacture anything. Such definitions inadequately identify managerial and operational implications common among, and unique to, services. We present a “Unified Services Theory” (UST) to clearly delineate service processes from non‐service processes and to identify key commonalities across seemingly disparate service businesses. The UST defines a service production process as one that relies on customer inputs; customers act as suppliers for all service processes. Non‐services (such as make‐to‐stock manufacturing) rely on customer selection of outputs, payment for outputs, and occasional feedback, but production is not dependent upon inputs from individual customers. The UST reveals principles that are common to the wide range of services and provides a unifying foundation for various theories and models of service operations, such as the traditional “characteristics of services” and Customer Contact Theory. The UST has significant operational corollaries pertaining to capacity and demand management, service quality, services strategy, and so forth. The UST provides a common reference point to which services management researchers can anchor future theory‐building and theory‐testing research.
Numerical computation of advection and diffusion on evolving diffuse interfaces

We propose a numerical method for computing transport and diffusion on a moving surface. The approach is based on a diffuse interface model in which a bulk diffusion-advection equation is solved on a layer of thickness epsilon containing the surface. The conserved quantity in the bulk domain is the concentration weighted by a density which vanishes on the boundary of the thin domain. Such a density arises naturally in double obstacle phase field models. The discrete equations are then formulated on a moving narrow band consisting of grid points on a fixed mesh. We show that the discrete equations are solvable subject to a natural constraint on the evolution of the discrete narrow band. Mass is conserved and the discrete solution satisfies stability bounds. Numerical experiments indicate that the method is second-order accurate in space.
Mode switching DFIG for low voltage ride through

With the rapid development of world-wide wind energy generation using doubly fed induction generations (DFIGs), low voltage ride through (LVRT) has become a great concern. This paper focuses on a unique topology of DFIG called IG connection mode to help the DFIG ride through grid faults smoothly. Transient analysis of IG connection mode is carried out to derive the generator currents. With this analysis, the control strategy for IG connection mode DFIG was developed. From the simulation results, it is clearly visible that IG mode could work in both normal and low grid voltage conditions. Simulation results clearly show that the DFIG with the proposed mode switching control could smoothly ride through low voltage grid faults while satisfying grid code requirements.
Theoretical Studies of Enzymic Reactions : Dielectric , Electrostatic and Steric Stabilization of Reaction of Lysozyme the Carbonium Ion in the A

A general method for detailed study of enzymic reactions is presented. The method considers the complete enzyme-substrate complex together with the surrounding solvent and evaluates all the diRerent quantum mechanical and classical energy factors that can affect the reaction pathway. These factors include the quantum mechanical energies associated with bond cleavage and charge redistribution of the substrate and the classical energies of steric and electrostatic interactions between the substrate and the enzyme. The electrostatic polarization of the enzyme atoms and the orientation of the dipoles of the surrounding water molecules is simulated by a microscopic dielectric model. The solvation energy resulting from this polarization is considerable and must be included in any realistic calculation of chemical reactions involving anything more than an isolated molecule in vacua. Without it, acidic groups can never become ionized and the charge distribution on the substrate will not be reasonable. The same dielectric model can also be used to study the reaction of the substrate in solution. In this way the reaction in solution can be compared with the enzymic reaction. In this paper we study the stability of the carbonium ion intermediate formed in the cleavage of a glycosidic bond by lysozyme. It is found that electrostatic stabilization is an imp’ortant factor in increasing the rate of the reaction step that leads to the formation of the carbonium ion intermediate. Steric factors, such as the strain of the substrate on binding to lysozyme, do not seem to contribute significantly.
The Application of SVDD in Gene Expression Data Clustering

Support Vector Domain Description (SVDD) is a kind of classification method based on Support Vector Machine. This paper discussed its application in gene expression data clustering. The training samples are mapped into a high dimension feature space through kernel function, at the same time, the non- objective samples are introduced in training to increase the refusing ability. After obtaining the support vectors to form the initial boundary by setting the kernel's parameter, the boundary energy function is constructed, so the real classified boundary can be approximated through finding the minimum energy function. The experimental results in Yeast Cell gene expression data show it could obtain a tighter hyper sphere and better clustering.
On Construction of Partial Reducts and Irreducible Partial Decision Rules

In the paper for the most part of binary decision tables upper and lower bounds on the cardinality of partial reducts and length of irreducible partial decision rules are obtained. The number of partial reducts and the number of irreducible partial decision rules are evaluated. Complexity of algorithms for construction of all partial reducts and all irreducible partial decision rules is studied on the basis of obtained bounds.
MAPIRA — A support decision tool for marine pipeline risk assessment

The lack of a supporting decision tool in submarine pipeline launching activity inspired this work, which intends to provide a quantitative measure about the risks involved in this kind of job. This tool uses Graphs, Fuzzy logic, AHP (Analytic Hierarchy Process) and the help of many experienced professionals to achieve this goal. The Theory of Graphs (Euler, 1736) studies the relationship between objects in a specific mathematical set and has a fundamental unity which is composed by a structure of nodes that interconnect the objects through their edges, the so called Graph. Nowadays, the graphs are used to model real spatial distributions in a computational environment in order to solve routing problems, network flows and flowing streams of any kind. The Fuzzy Logic is able to deal with uncertainty better than Crispy logic, bringing more confidence in supporting decisions regarding subjective issues. Fuzzy Inference Systems are supporting decision making in many areas. This project uses graphs abstraction and Fuzzy Inference System in Submarine Engineering scope to aid in the marine pipelines' route selecting problem. The area where the pipe will be placed is surveyed with acoustic geophysical methods as bathymetry, side-scan sonar and sub-bottom profilers. These resultant maps are then interpreted using the risk classification developed in this work and the gridded area is related to a graph, where each graph node represents a grid node, and a graph edge represents the path between two adjacent nodes with a specific weight. The object of interest of this project is the method responsible for the weight input (risks magnitudes) into graph's edges based on a Fuzzy Inference System. The Fuzzy Inference System uses AHP and a compilation of many specialists' opinions. These opinions were collected from pipeline engineers with many years of experience. They went through an online questionnaire about several factors that represent risks to pipelines such as tectonic zones, faulting, subsurface gases, different types of ocean floor, and marine physiographic features, presence of garbage, areas susceptible to freezing and domains taken by other submarine facilities. Once each graph's edge has the weight given by the risk magnitude the safer path can be calculate by the shortest path algorithm. This work is based on a methodology which was applied in many Civil engineering construction projects. This new methodology coded in Java® programing language resulted in a Software called MAPIRA (Marine Pipeline Risk Assessment), a support decision tool that intends to aid marine pipeline launching professionals. It uses GeoTools® libraries (Since 2006 in OSGeo Project) and brings a way to solve the safer path problem to marine pipelines installation and providing a quantitative measure about the risks marine pipelines could face.
Lipid Profile and Hepatic Steatosis in Hepatitis C Infected Egyptian Survivors of Childhood Cancer

Backgound/Aim: Studies associating chronic hepatitis C virus (HCV) infection with lipid profile and hepatic steatosis in children and adolescents are scarce. This study investigated lipid profile abnormalities and hepatic steatosis among HCV-infected Egyptian children and adolescents who survived leukemia and lymphoma and evaluated impact on response to antiviral therapy. Subjects and methods: Thirty-six leukemia/lymphoma cured children and adolescents (mean age: 12.47 ± 3.56 years) with chronic HCV infection and 30 healthy controls (mean age: 11.64 ± 3.96 years) were enrolled in this prospective study. Serum lipid profile and abdominal ultrasonography were done for all patients and controls. Guided liver biopsy with histopathological examination was done for 32 (88.9%) patients eligible for antiviral therapy. Results: Total cholesterol, LDL-cholesterol, and apolipoprotein B (apo-B) in patients were significantly lower than in the control group (P ≤ .01, ≤ .01, and ≤ .05, respectively). Among those who underwent liver biopsy (n = 32), macrovesicular hepatic steatosis associated with chronic hepatitis C was documented in 10 children (31.3%). Body mass index was significantly higher (P ≤ .05) and apo-B was significantly lower in steatotic (P ≤ .05) than non-steatotic HCV-infected children. Liver span by ultrasound, alanine aminotransferase (ALT), and apo-B were independent predictors for hepatic steatosis (P < .001, <.001, and <.05, respectively). A significantly worse response to interferon alpha 2-b plus ribavrin treatment for HCV was reported among children with steatosis (P < .001). Conclusions: The study showed low serum lipids in HCV-infected children with cured leukemia/lymphoma. Hepatic steatosis was found in a significant proportion of patients and was associated with a poor response to antiviral treatment.
Near-Zero Refractive Index structures to simplify the feeding of antenna arrays

The dispersion diagrams of certain metamaterial structures exhibit a near-zero phase propagation constant beta within a restricted range of frequencies (therefore behaving as a near-zero refractive index material). This special characteristic is exploited to synthesize uniformly illuminated arrays. Design theory is elaborated and simulated results are presented, showing a satisfactory performance for the designed array.
Software for the usability lab: a sampling of current tools

This panel brings together usability professionals throughout the computer industry to demonstrate and discuss their usability lab software tools. These tools are specifically designed to improve the data collection and analysis process for usability labs. Their capabilities range from simple to complex and the panel will not only discuss the benefits of using the tools but also share the lessons learned during the design and development process.
IMAGE SUPER RESOLUTION RECONSTRUCTION TECHNIQUES-A SURVEY

In this paper, we study and represent various techniques of image super resolution (SR). Super resolution reconstruction produces high resolution image from sequence of low resolution images. Super-resolution (SR) aims to increase the spatial resolution of images from a single low resolution (LR) images. Super resolution is a technique where there is a availability of multiple LR images captured from the same scene. It is an algorithm to reconstruct HR images from the under sampled LR images. The main aim of super resolution is to improve visual quality of available low resolution image. This paper focuses on interpolation based; reconstruction based and learning based super-resolution methods. We presented various existing super resolution techniques, advantages, disadvantages and the recent works and methods of SR reconstruction. Key Terms: Low Resolution; High Resolution; Reconstruction based super resolution; learning based super resolution; interpolation based.
Perinatal behavior of northern elephant seal females and their young.

In this paper we describe various aspects of the reproductive process in northern elephant seals, Mirounga angustirostris, particularly maternal behavior and the interaction of adult females and pups in the harem during the breeding season. We focused on the following subjects: (a) parturition the time and place of occurrence and the events which follow it, (b) temporal aspects of reproductive behavior in females such as the interval between arrival on the rookery and parturition, parturition and copulation, and the length of the nursing period, (c) the proportion of females that foster alien pups and the circumstances in which it occurs, (d) suckling behavior of pups the pattern and source of suckling, and (e) pup mortality incidence, time course, and possible causes. Other subjects which bear on maternal and pup behavior such as moulting, seasonal movements, physical development, population dynamics and the role of vocalizations in maintaining the motherpup bond are described in general terms in this paper and will be treated more fully elsewhere. Studies emphasizing male social behavior and copulatory behavior have appeared in previous papers
Neuroblastoma metastatic to the central nervous system

The central nervous system (CNS) can be a sanctuary site for cancer cells, because the blood‐brain barrier impedes penetration of most chemotherapeutic agents. The authors hypothesized that, with improved survival from childhood metastatic neuroblastoma (NB), the incidence of CNS (intraparenchymal and leptomeningeal) spread may increase. They undertook this study to assess the frequency of CNS NB, to analyze risk factors and treatment options, and to review the literature.
Catechol-O-Methyltransferase GeneticVariant Associated with the Risk of Alzheimer’s Disease in a Brazilian Population

The aim of the present study was to examinethe association between polymorphism in thecatechol-O-methyltransferase(COMT) gene and Alzheimer’s disease (AD) in a Brazilianpopulation. The case-control method was used to study the association between AD and geneticvariants of COMT. Six tag single-nucleotide polymorphisms(SNPs) in the COMT gene were genotyped by RT-PCR. Ourfindings showed that the 6 tag SNPs analyzed in this study were not associated with AD at the alleleand genotype levels in comparison with the control group. No statistical difference was foundbetween groups with and without behavioral and psychological symptoms of dementia (BPSD). Ourresults do not support the hypothesis that the polymorphisms of theCOMT gene may be associated with susceptibility to AD withand without BPSD.