Miracle-dz/UniFAR-FTUs huggingface dataset:
An Approach for Integrating Trust Information Model

Currently, there exist different trust models in peer-to-peer application. Each model has an abundance of trust information about trust and reputation attributes which are needed for establishing trust between peers. These trust models canpsilat be easily interoperable due to no approach for integrating in a semantic way the trust information from different models. Integrating trust information in a semantic way is a significant step towards the realization of trust models interoperability in an open system such as Web where resource providers and users are often strangers to one another and universal and correct expressiveness of trust information will be crucial. Therefore, this paper proposes an ontology-based approach for integrating trust information models. Additionally, it is also useful for simplifying security policies specification and protecting sensitive information.
Testbed for Development and Verification of Hybrid Localization Systems

In this paper a testbed for development and verification of hybrid localization systems is presented. It allows for systematic analysis of hybrid localization methods and speed up the development of new schemes. The proposed testbed platform is composed of subsystem for sequential data collection and testing infrastructure that can be used for investigating the localization mechanisms in controllable environment. Keywords—Hybrid Localization; Wireless systems
Measuring citizen's perception and acceptance of e-Suvidha in relation to TAM: an empirical study

Information and Communication Technology (ICT) has marked its importance in every sphere of life including governance. The Government to Citizen (G2C) relationship through internet is supposed to enhance citizen participation, transparency in the system and availability of information; this, in turn, brings about citizen empowerment, which can help address two of the biggest domestic challenges we face in this country i.e. improving public services and bridging the gap between citizens and democracy. Using ICT for governance increases government's efficiency due to increased citizen trust and confidence on the Government's working. This paper aims to study the awareness, perceived usefulness and acceptability of e-Suvidha initiative taken by the Government of Uttar Pradesh across various demographic factors, and also what government feels about this initiative. The study used two research methodologies for gathering data: the TAM questionnaire and interview. The TAM questionnaire was used to measure perceptions and acceptance of people towards e-Suvidha and to find the relationship between various independent and dependent factors within the research framework of the study. The interview was used to explore how government officials feel about the e-governance initiative, technology usage and citizen participation in governance. The study outcome can provide useful information to help organizations improve its capacity and decide upon which success factors can be incremented and how total e-governance can be brought about to bridge the gap between citizens and government. Simultaneously, the study can also be used as a guideline for e-governance initiative implementation in other organizations
Multi-agent based combat simulation and effectiveness evaluation of Long-distance Firepower of Tank

According to the requirement of Integrated Joint Operations, the paper put forwards the Long-distance Firepower of Tank (LDFT) and its main combat mode as Stand-off-seeming Combat (that is, the mode is not completely stand-off), which is a completely new combat mode. And builds the combat effectiveness evaluating parameter systems of LDFT and gives the measuring and calculating methods. And builds action model of tank entity, such as moving model, firepower model, and the system simulation model basing upon agent. And taking a combat as background, which is a reinforced tank battalion attacking guard enemies used as maneuver defending, and develops the evaluating simulation system, which better validates a tank developing tendency in the future.
PATTERNS OF HERBIVORY AND DECOMPOSITION IN AQUATIC AND TERRESTRIAL ECOSYSTEMS

Describing the relative magnitude and controls of herbivory and decomposition is important in understanding the trophic transference, recycling, and storage of carbon and nutrients in diverse ecosystems. We examine the variability in herbivory and decomposition between and within a wide range of aquatic and terrestrial ecosystems. We also analyze how that variability is associated with differences in net primary production and producer nutritional quality. Net primary production and producer nutritional quality are uncorrelated between the two types of system or within either type. Producer nutritional quality is correlated to the percentage of primary production consumed by herbivores or percentage of detrital production decomposed annually, regardless of whether the comparison is made between the two types of systems or within either type of system. Thus, producer nutritional quality stands out as a consistent indicator of the importance of consumers as top-down controls of producer biomass and detritus.
Global Small Solutions to an MHD‐Type System: The Three‐Dimensional Case

In this paper, we consider the global well‐posedness of a three‐dimensional incompressible MHD type system with smooth initial data that is close to some nontrivial steady state. It is a coupled system between the Navier‐Stokes equations and a free transport equation with a universal nonlinear coupling structure. The main difficulty of the proof lies in exploring the dissipative mechanism of the system due to the fact that there is a free transport equation of ϕ in the coupled equations and only the horizontal derivatives of ϕ is dissipative with respect to time. To achieve this, we first employ anisotropic Littlewood‐Paley analysis to establish the key L1(ℝ + ; Lip(ℝ3)) estimate to the third component of the velocity field. Then we prove the global well‐posedness to this system by the energy method, which depends crucially on the divergence‐free condition of the velocity field. © 2014 Wiley Periodicals, Inc.
Nanomaterials and Nanotechnology Facile Preparation of Silver Halide Nanoparticles as Visible Light Photocatalysts Regular Paper

In this study, highly efficient silver halide (AgX)-based photocatalysts were successfully fabricated using a facile and template-free direct-precipitation method. AgX nanoparticles, which included silver chloride (AgCl), silver bromide (AgBr) and silver iodide (AgI), were synthesized using different potassium halides and silver acetate as reactive sources. The size distribution of the AgX nanopar‐ ticles was determined by the reaction time and ratio of the reagents, which were monitored by UV-vis spectra. The asprepared AgX nanoparticles exhibited different photoca‐ talytic properties. This shows the differences for the photodegradation of methyl orange and Congo red dyes. In addition, the AgCl nanoparticle-based photocatalyst exhibited the best photocatalytic property among all three types of AgX nanoparticles that are discussed in this study. Therefore, it is a good candidate for removing organic
Where Children Live and Have their Wellbeing; A Study of Housing Conditions and Health in Accra-Ghana.

The study investigates the links between housing conditions and reported health conditions of children in Madina, a suburb of the Greater Accra region of Ghana. The study used purposive sampling and snowballing sampling techniques to sample residents who were parents and guardians ( N = 90; 79% = female; age 18 < 50; with children <15 years). Research questions explored include the resident’s perceptions and classification of the housing conditions, their perceptions of the aspects of their housing which affects the health of their children and the children’s health conditions commonly reported to health institutions. Housing conditions were measured with an observation checklist assessing: overcrowding, ventilation, structural problems, and sanitation among others. Health conditions were measured by the reporting of symptoms. Pearson’s correlations, and chi-square tests were used to analyze the relationship between health and housing conditions. The results indicated that majority of respondents (83%) perceived their household conditions as poor. Among others, respondents mentioned poor ventilation, leaking roofs, and poor sanitary conditions as some of the problems they face. About 79% of sampled households reported the occurrence of at least one existing health condition in their children, which they attributed to their housing conditions. These findings highlight the need for housing policies to improve housing conditions in Ghanaian suburbs to strengthen the health and wellbeing among among the residents and especially children. Keywords : Housing Conditions; Health Problems; Urban Areas; Accra Ghana.
Alcohol and cardiovascular disease

Epidemiological evidence which has accumulated over the past three decades indicates that the 20th-century epidemic of coronary disease is to a great extent a product of a faulty life-style promoted by the industrialization and urbanization of modern society (Report of Intersociety Commission for Heart Disease Resources, 1984). This atherogenic life-style is characterized by a diet excessive in saturated fat, cholesterol, energy and salt; unrestrained weight gain, a sedentary existence, smoking cigarettes and, perhaps, stress. Because life-style plays such a large part in the development of atherosclerotic cardiovascular disease, the potential victim must accept responsibility for his own preventive maintenance under the guidance of his physician. The public health official must also contribute by providing the necessary health education and taking measures to alter the ecology to one more favourable to cardiovascular health. There is evidence that the atherogenic life-style promotes traits such as hypertension, dyslipidaemia, increased fibrinogen and glucose intolerance. There is also some evidence that alcohol intake affects blood lipids, blood pressure, uric acid, thrombogenesis, and coronary heart disease (CHD) and stroke rates. Heavy intake of alcohol is a leading cause of preventable mortality, second only to cigarette smoking in industrialized countries (Oulett er al. 1979). Alcoholism in the USA is far too common, estimated at 5-17 million people (Hennekens, 1983). Alcohol is implicated in more than 40% of all fatal traffic accidents, in 25% of all general hospital admissions, in liver and upper gastrointestinal cancers, suicides, sex crimes, industrial accidents, robbery and murder, and fetal alcohol syndrome. In the context of promotion of disease or death there is evidence to suggest that moderate alcohol intake reduces risk of CHD, the leading cause of death in most affluent societies. It therefore is important to establish the amounts of alcohol which confer benefit and harm and the effect of alcohol on specific cardiovascular disease outcomes.
Abnormal Crowd Motion Detection with Hidden Markov Model

stations,etc. With the increasing demand of surveillance of various human activities, an efficient automated surveillance system to detect anomalies has become important. There is a survey on visual surveillance in [1], and a lot of problems have not resolved in surveillance applications nowadays as discussed in some papers [2]. Crowd feature extraction and crowd modeling are two important approaches of crowd analysis in Video surveillance. Most detection methods use motion features such as image gradient, texture information, optical flow, or spatial-temporal volume characteristics [3-4]. These features allow us to analyze dense crowds using characteristics of a crowd rather than individuals. Some works in the analysis of crowds usually assume that individuals can be tracked and identified in the crowd [5]. For example, the method proposed in [6] combines the inter-images difference based on entropy image and optical flow computed by a local method with a hierarchical coarse-to-fine optical flow estimation, and this method has a big computation load. Once motion features are extracted, another approach is to model them to represent normal motion behaviors. Abnormal crowd motion is defined as a sudden change or irregularity in a crowd motion. Suppose there exists a mathematical model describing the normal behaviors in the crowd videos, anomaly detection is done by modeling normal behaviors, and a crowd behavior is declared as anomaly if its characteristic does not comply with the learning model. Many approaches use parametric models, however, in parametric approach the data characteristics have to be approximated with a standard distribution and in many cases such approximations do not work well. In [7], Social Force model is used to detect and localize abnormal behaviors in crowd videos by Mehran et al. Their result shows the approach has a better performance than similar approach based on pure optical flow. Andrade et al. [8] combined spectral clustering, Principal Components Analysis (PCA) and Hidden Markov Model (HMM) to detect the crowd emergency scenarios, but the eigenvectors obtained by dimensionality reduction with PCA on the optical flow fields can not adequately reflect the motion, and this approach was only tested in simulated data. Our approach derives variations of motion patterns though direction distribution of the crowd motion obtained by optical flow and these variations are encoded with HMM Abnormal Crowd Motion Detection with Hidden Markov Model Dongping Zhang, Yafei Lu, Xinghao Jiang, Huailiang Peng
Wireless Networks Interference and Security Protection by Means of Vegetation Barriers

The success of wireless technologies could paradoxically leads to a collapse in their performance: the interference between adjacent networks and the attacks done by users from outside the expected coverage limits are two important enemies to the well function of the networks. The proposal of this paper is simple but efficient: the use of vegetation barriers to create shadowing areas with excess attenuations in the edge of the service area, in order to reduce the coverage distance of each wireless node, reducing the possible interference to other networks as well as improving security aspects by minimizing the signal strength outside the service area.
Optimal Static-Dynamic Hedges for Exotic Options under Convex Risk Measures

We study the problem of optimally hedging exotic derivatives positions using a combination of dynamic trading strategies in underlying stocks and static positions in vanilla options when the performance is quantified by a convex risk measure. We establish conditions for the existence of an optimal static position for general convex risk measures, and then analyze in detail the case of shortfall risk with a power loss function. Here we find conditions for uniqueness of the static hedge. We illustrate the computational challenge of computing the market-adjusted risk measure in a simple diffusion model for an option on a non-traded asset.
An Interactive and Understandable Method to Treat Missing Values: Application to a Medical Data Set

Many analysis tasks have to deal with missing values and some of them have developed speciic and internal treatments to guess them. In this paper we present the use of a new method, called MVC (Missing Values Completion), for this question: MVC is based on data preprocessing which gives prominence to understandable associations and gives the user a central part. Such qualities will allow to use it for the data cleaning step of the Knowledge Discovery in Databases process. The eeciency of this method rests on the Robust Association Rules algorithm that we have proposed. This algorithm extends the concept of association rules for databases with multiple missing values. We give some examples of the use of MVC in a real world data set (in medicine), highlighting typical use of this method.
Feedback Arc Set in Oriented Graphs

A feedback arc set in a directed graph D is a set S of arcs in D such that D\ S is acyclic. The problem of determining a feedback arc set with least number of arcs is NP - complete for a general digraph. We define the strong feedback arc number β_s (G) for various orientations of an undirected graph G. The strong feedback arc problem of an undirected graph is to find a strong feedback arc set S of G(O) for some strongly oriented O(G) such that |S|=β_s (G) . In this paper our focus is on interconnection networks with β_s=1.
Relationship of ketamine's antidepressant and psychotomimetic effects in unipolar depression.

OBJECTIVES Ketamine and other NMDA (N-methyl-D-aspartate) antagonists produce fast-acting antidepressant-like effects, although the underlying mechanism is unclear. Furthermore, high affinity NMDA antagonists such as ketamine are associated with psychotomimetic effects. To date the link between the antidepressant and psychotomimetic effects of ketamine has not been explored. We examined the relationship between the antidepressant and psychotomimetic effects of a single ketamine infusion in subjects diagnosed with major depressive disorder. METHODS In a double-blind, cross-over, placebo-controlled, two weeks clinical trial we studied the effects of ketamine (0.54 mg/kg within 30 min) in a group of 27 hospitalized depressive patients. RESULTS Higher intensity of psychotomimetic symptoms, measured using BPRS, during ketamine administration correlated with alleviation in mood ratings during the following week with maximum on day seven. Ketamine was superior to placebo in all visits (day 1, 4, and 7) assessed by MADRS with effect size (Cohen´s d) of 0.62, 0.57, and 0.44 respectively. There was no significant correlation between ketamine and nor-ketamine plasma levels and MADRS score change at any study time point. CONCLUSION The substantial relationship between ketamine's antidepressant and psychotomimetic effects was found. This relationship could be mediated by the initial steps of ketamine's action, trough NMDA receptors, shared by both ketamine's clinical effects.
Customization of enterprise content management systems: an exploratory case study

Enterprise content management (ECM) systems are mostly implemented in organizations by acquiring commercial software packages and customizing them to meet the organizational requirements. The customization aspect of ECM systems lacks empirical research. This paper explores the concepts of ECM customization and issues identified with ECM customization. The data are based on an in-depth case study from the oil industry and complemented with a secondary analysis of 60 vendor-reported cases of ECM implementations. The results show considerable customization challenges related to ECM, especially concerning integration, usability and functional adaptation. A resulting framework of customization concepts in ECM is suggested and discussed, along with issues for further research.
Optimization to routing protocol based on path collection for ad-hoc networks

Research and propose a path collection mechanism optimization scheme of AODV protocol. This scheme adopts the path collection mechanism in DSR protocol to improve the performance of AODV, meanwhile it avoids being affected by the high running overhead and weak scalability of DSR protocol. Results obtained by OPNET Simulation shows that the optimized AODV scheme performs effectively in terms of packet delivery ratio, routing overhead and end-to-end delay.
Modeling of Learning Analysts in e-Learning

We consider the development of learning analytics tools for distance learning using the agent- based and neural network approaches. It is proposed a hybrid agent-based model with built-in artificial neural networks. The model aims to support the computer simulation experiments evaluating the trends of production and dissemination of knowledge of the participants (agents) of three types: the authors, tutors and students of online courses. We study the efficiency of the software implementation of this model as an example of one of the higher education institutions.
Mass and spin co-evolution during the alignment of a black hole in a warped accretion disc

In this paper, we explore the gravitomagnetic interaction of a black hole (BH) with a misaligned accretion disc to study BH spin precession and alignment jointly with BH mass M BH and spin parameter a evolution, under the assumption that the disc is continually fed, in its outer region, by matter with angular momentum fixed on a given direction Ĵ disc,out . We develop an iterative scheme based on the adiabatic approximation to study the BH-disc co-evolution: in this approach, the accretion disc transits through a sequence of quasi-steady warped states (Bardeen-Petterson effect) and interacts with the BH until the spin J BH aligns with Ĵ disc,out . For a BH aligning with a corotating disc, the fractional increase in mass is typically less than a few per cent, while the spin modulus can increase up to a few tens of per cent. The alignment time-scale t al ∝ a 5/7 M -32/35 is of ∼ 10 5 -10 6 yr for a maximally rotating BH accreting at the Eddington rate. BH-disc alignment from an initially counter-rotating disc tends to be more efficient compared to the specular corotating case due to the asymmetry seeded in the Kerr metric: counter-rotating matter carries a larger and opposite angular momentum when crossing the innermost stable orbit, so that the spin modulus decreases faster and so the relative inclination angle.
Is Overt Stuttered Speech a Prerequisite for the Neural Activations Associated with Chronic Developmental Stuttering?

Four adult right-handed chronic stutterers and four age-matched controls completed H(2)(15)O PET scans involving overt and imagined oral reading tasks. During overt stuttered speech prominent activations occurred in SMA (medial), BA 46 (right), anterior insula (bilateral), and cerebellum (bilateral) plus deactivations in right A2 (BA 21/22). These activations and deactivations also occurred when the same stutterers imagined they were stuttering. Some parietal regions were significantly activated during imagined stuttering, but not during overt stuttering. Most regional activations changed in the same direction when overt stuttering ceased (during chorus reading) and when subjects imagined that they were not stuttering (also during chorus reading). Controls displayed fewer similarities between regional activations and deactivations during actual and imagined oral reading. Thus overt stuttering appears not to be a prerequisite for the prominent regional activations and deactivations associated with stuttering.
Geometric Priors for Gaussian Process Implicit Surfaces

This paper presents an extension of Gaussian process implicit surfaces (GPIS) by the introduction of geometric object priors. The proposed method enhances the probabilistic reconstruction of objects from three-dimensional (3-D) pointcloud data, providing a rigorous way of incorporating prior knowledge about objects expected in a scene. The key ideas, including the systematic use of surface normal information, are illustrated with one-dimensional and two-dimensional examples, and then applied to simulated and real pointcloud data for 3-D objects. The performance of our method is demonstrated in two different application scenarios, using complete and partial surface observations. Qualitative and quantitative analysis of the results reveals the superiority of the proposed approach over existing GPIS configurations that do not exploit prior knowledge.