Miracle-dz/UniFAR-FTUs huggingface dataset:
OJADEAC: An Ontology Based Access Control Model for JADE Platform

Java Agent Development Framework (JADE) is a software framework to make easy the development of Multi-Agent applications in compliance with the Foundation for Intelligent Physical Agents (FIPA) specifications. JADE propose new infrastructure solutions to support the development of useful and convenient distributed applications. Security is one of the most important issues in implementing and deploying such applications. JADE-S security add-ons are one of the most popular security solutions in JADE platform. It provides several security services including authentication, authorization, signature and encryption services. Authorization service will give authorities to perform an action based on a set of permission objects attached to every authenticated user. This service has several drawbacks when implemented in a scalable distributed context aware applications. In this paper, an ontology-based access control model called (OJADEAC) is proposed to be applied in JADE platform by combining Semantic Web technologies with context-aware policy mechanism to overcome the shortcoming of this service. The access control model is represented by a semantic ontology, and a set of two level semantic rules representing platform and application specific policy rules. OJADEAC model is distributed, intelligent, dynamic, context-aware and use reasoning engine to infer access decisions based on ontology knowledge.
MODELS OF MILITARY EXPENDITURE AND GROWTH: A CRITICAL REVIEW

This paper reviews some of the theoretical and econometric issues involved in estimating growth models that include military spending. While the mainstream growth literature has not found military expenditure to be a significant determinant of growth, much of the defence economics literature has found significant effects. The paper argues that this is largely the product of the particular specification, the Feder–Ram model, that has been used in the defence economics literature but not in the mainstream literature. The paper critically evaluates this model, detailing its problems and limitations and suggests that it should be avoided. It also critically evaluates two alternative theoretical approaches, the Augmented Solow and the Barro models, suggesting that they provide a more promising avenue for future research. It concludes with some general comments about modelling the links between military expenditure and growth.
Data-driven PID gain tuning for liquid level control of a single tank based on disturbance attenuation fictitious reference iterative tuning

A direct design approaches based on input-output measurements with no need for help from a plant model have attracted attention from several researchers. We have proposed such a disturbance attenuation Fictitious Reference Iterative Tuning (FRIT) using input-output data generated by step-type disturbances, and showed the effectiveness of the approach through experiments of DC motor control and helicopter attitude control. The paper applies the approach to the experimental data for liquid level control of a single tank. The PID gains are tuned so that the liquid level of the single tank would follow a disturbance reference model output. From the experimental result, the disturbance attenuation FRIT is effective for PID gain tuning from closed-loop input and output experimental data generated by a step-type disturbance.
Orientalism reconsidered

all, I shall be using the word "Orientalism" less to refer to my book than to the problems to which my book is related; moreover, I shall be dealing, as will be evident, with the intellectual and political territory covered both by Orientalism (the book) as well as the work I have done since. This imposes no obligation on my audience to have read me since Orientalism; I mention it only as an index of the fact that since writing Orientalism I have thought of myself as continuing to look at the problems that first interested me in that book but which are still far from resolved. Second, I would not want it to be thought that the license afforded me by the present occasion is an attempt to answer my critics. Fortunately, Orientalism elicited a great deal of comment, much of it positive and instructive, yet a fair amount of it hostile and in some cases (understandably) abusive. But the fact is that I have not digested and understood everything that was either written or said. Instead, I have grasped some of the problems and answers proposed by some of my critics, and because they strike me as useful in focussing an argu-
Design and fabrication of a MEMS capacitive chemical sensor system

This paper describes the development of a MEMS sensor system to detect volatile compounds. The sensor consists of a MEMS capacitive sensor element monolithically integrated with a sensing circuit. The sensor element is a parallel plate capacitor using a chemically sensitive polymer as the dielectric. In presence of the target analyte, the polymer swells and changes the capacitance of the sensor element. This change in capacitance is sensed and converted to a digital bit stream by a delta-sigma sensing circuit. This paper provides an overview of the design of the sensor element, the sensing circuit and the process integration for their fabrication on a single die
DAFS: Supporting the knowledge discovery process

This paper describes the DAFS data mining file server. Current data mining tools often suffer from limited functionality and poor cost performance on data sets greater than 1 GByte. This has led to an increased interest in solutions which exploit parallel hardware. However, systems based on parallel technology have explored the parallelisation of their artificial intelligence components in isolation from the database component. This conflicts with the well established fact that at least 80% of the data mining effort is spent preprocessing the data to be mined. Taking this in the context of the iterative nature of the knowledge discovery process indicates that enormous benefits are to be gained from the close integration of artificial intelligence and database technology in a parallel data mining environment. It is this integration which the DAFS server achieves, and, by so doing, exhibits high performance across the whole of knowledge discovery process for data sets in the 1 to 100 GByte range. * This work is funded by Esprit, project 20169 [17, 16].
THE RAT AS A CARRIER OF SPIROCHÆTA ICTEROHÆMORRHAGIÆ, THE CAUSATIVE AGENT OF WEIL'S DISEASE (SPIROCHÆTOSIS ICTEROHÆMORRHAGICA)

1. On the basis of these findings, we conclude that the extermination of rats and field mice is a highly important prophylactic measure against Weil's disease. 2. The chemical composition of soil and water plays animportant part in the development of Spirochœta icterohœmorrhagiœ, and consequently in the spread of the disease of which it is the causative agent.
Pedestrian Trajectory Determination in Indoor Environment

SUMMARY The topic of the navigation in indoor environment becomes nowadays more and more actual and several systems that can substitute GNSS technology are developed. The paper presents the method for pedestrian trajectory determination in indoor environment as an undisputed basis for navigation of persons in indoor environment of buildings. Data from inertial sensors (accelerometers and gyroscopes) available in smart phones and the calculated trajectory by " step detection " method were used for determination of the pedestrian trajectory. The developed method isn't able to identify the absolute position in the building but provides the information about the relative position. The accuracy of the trajectory calculated from the smart phone Samsung Galaxy S4 data was tested during the experiment. The trajectory was determined in the ground plan of an administrative building with known location of the reference points which are included in the path of the pedestrians. The algorithm for data processing was created in Matlab software, parallel with the algorithm for calibration of smart phone sensors. Matlab function " findpeaks " was used for step detection and determination of changes in sensor orientation. The main algorithm implemented to the smart phone produces dynamic plot of the current position of pedestrian on the floor plan displayed on the smart phone in real time.
THE VISIBLE REGION ABSORPTION SPECTRA OF RARE-EARTH MINERALS1

Certain rare-earth elements, notably neodymium, praseodymium, erbium, and holmium, produce absorption bands in the visible region of the spectrum when present as trivalent ions in solutions or compounds In crystalline minerals these bands may be almost linelike and have a distribution pattern that is influenced by structure, composition, and optiealdirection. Bands of neodymium and praseodymium characterize cerium group minerals whereas bands of erbium and holmium commonly predominate in yttrium group minerals. Detection of the bands with a microspectroscope is invaluable for the recognition of minerals containing rare earths, but the variability of lanthanide content may preclude use of these bands for identification of individual species In metamict minerals that show absorption spectra the bands are broad and diffuse but sharpen noticeably after heating. Absorption spectra can be obtained from some minerals only after fusion with a suitable flux
Human Capital Externalities and Employment Differences Across Metropolitan Areas of the U.S

It has been well documented that employment outcomes often differ considerably across areas. This paper examines the extent to which the local human capital level, measured as the share of prime age adults with a college degree, has positive external effects on labor force participation and employment for U.S. metropolitan area residents. The empirical results suggest that the local human capital level has positive externalities on the probability of labor force participation and employment for both women and men. We also find that less educated workers generally receive the largest external benefits.
Direct Numerical Simulation of Particulate Flows on 294 912 Processor Cores

This paper describes computational models for particle-laden flows based on a fully resolved fluid-structure interaction. The flow simulation uses the Lattice Boltzmann method, while the particles are handled by a rigid body dynamics algorithm. The particles can have individual non-spherical shapes, creating the need for a non-trivial collision detection and special contact models. An explicit coupling algorithm transfers momenta from the fluid to the particles in each time step, while the particles impose moving boundaries for the flow solver. All algorithms and their interaction are fully parallelized. Scaling experiments and a careful performance analysis are presented for up to 294 912 processor cores of the Blue Gene at the Jülich Supercomputing center. The largest simulations involve 264 million particles that are coupled to a fluid which is simultaneously resolved by 150 billion cells for the Lattice Boltzmann method. The paper will conclude with a computational experiment for the segregation of suspensions of particles of different density, as an example of the many industrial applications that are enabled by this new methodology.
Flemish Cap Cod Stock Analysis

Flemish Cap is a traditional fishery for cod and redfish. The position of the bank was exactly determined for the first time in 1750 during the hydrographic campaign of M. de Chabert (de la Morandiere, 1962). It is difficult to accept that at that time the Flemish Cap could be an alternative fishing area to other banks of the American continental platform. The reasons for which we suspect that the cod fishing on Flemish Cap would have a secondary importance are the geographic isolation of the bank, what was important in sail times, and its great depth, an important circumstance for hook fishing. The arrival of steam propulsion and trawl fishing system would change the marginal interest of the bank. Since 1978, when Canada established a 200-mile economic zone, Flemish Cap is one of the few areas under international regulation where fishing is not always controled.
Planning as tabled logic programming

Abstract This paper describes Picat's planner, its implementation, and planning models for several domains used in International Planning Competition (IPC) 2014. Picat's planner is implemented by use of tabling. During search, every state encountered is tabled, and tabled states are used to effectively perform resource-bounded search. In Picat, structured data can be used to avoid enumerating all possible permutations of objects, and term sharing is used to avoid duplication of common state data. This paper presents several modeling techniques through the example models, ranging from designing state representations to facilitate data sharing and symmetry breaking, encoding actions with operations for efficient precondition checking and state updating, to incorporating domain knowledge and heuristics. Broadly, this paper demonstrates the effectiveness of tabled logic programming for planning, and argues the importance of modeling despite recent significant progress in domain-independent PDDL planners.
Generic Parallel Array Programming in SAC.

SaC is a purely functional array processing language for computationally intensive numerical applications. Its design aims at combining efficiency in program construction with efficiency in parallel program execution. We demonstrate the declarative, generic programming style of SaC by means of a small case study: 3-dimensional complex fast-Fourier transforms. The impact of abstraction on expressiveness, readability, and maintainability of code as well as on clarity of underlying mathematical concepts is discussed and compared with other approaches. We quantify the associated impact on runtime performance both in uniprocessor and in multiprocessor environments.
The chemical evolution of the Universe – I. High column density absorbers

ABSTRA C T We construct a simple, robust model of the chemical evolution of galaxies from high to low redshift, and apply it to published observations of damped Lyman a quasar absorption line systems (DLAs). The elementary model assumes quiescent star formation and isolated galaxies (no interactions, mergers or gas flows). We consider the influence of dust and chemical gradients in the galaxies, and hence explore the selection effects in quasar surveys. We fit individual DLA systems to predict some observable properties of the absorbing galaxies, and also indicate the expected redshift behaviour of chemical element ratios involving nucleosynthetic time delays. Despite its simplicity, our ‘monolithic collapse’ model gives a good account of the distribution and evolution of the metallicity and column density of DLAs, and of the evolution of the global star formation rate and gas density below redshifts z , 3: However, from the comparison of DLA observations with our model, it is clear that star formation rates at higher redshifts Oz . 3U are enhanced. Galaxy interactions and mergers, and gas flows very probably play a major role.
MIL: Automatic Metaphor Identification by Statistical Learning

Metaphor identification in text is an open problem in natural language processing. In this paper, we present a new, supervised learning approach called MIL (Metaphor Identification by Learning), for identifying three major types of metaphoric expressions without using any knowledge resources or handcrafted rules. We derive a set of statistical features from a corpus representing a given domain (e.g., news articles published by Reuters). We also use an annotated set of sentences, which contain candidate expressions labelled as 'metaphoric' or 'literal' by native English speakers. Then we induce a metaphor identification model for each expression type by applying a classification algorithm to the set of annotated expressions. The proposed approach is evaluated on a set of annotated sentences extracted from a corpus of Reuters articles. We show a significant improvement vs. a state-of-the-art learning-based algorithm and comparable results to a recently presented rule-based approach.
Topological quantum phase transition and the Berry phase near the Fermi surface in hole-doped quantum wells

We propose a topological quantum phase transition for quantum states with different Berry phases in hole-doped III-V semiconductor quantum wells with bulk and structure inversion asymmetry. The Berry phase of the occupied Bloch states can be characteristic of topological metallic states. It is found that the adjustment of the thickness of the quantum well may cause a transition of the Berry phase in a two-dimensional hole gas. Correspondingly, the jump of the spin Hall conductivity accompanies the change of the Berry phase. This property is robust against the impurity potentials in the system. Experimental detection of this topological quantum phase transition is discussed.
Design and Implementation of a 90nm Low bit-rate Image Compression Core

This paper presents a low-cost, high throughput discrete wavelet transform-based image compressor. The hardware solution proposed here exploits a modified set partitioning in hierarchical trees (SPIHT) algorithm and ensures that appropriate reconstructed image qualities can be achieved also for compression ratios over 100:1. Obtained results demonstrate that a maximum data rate of about 23 Mpixels/s can be sustained on a 64x64 size tile. In 90 nm technology, the required area is only 1.77 mm2. To obtain higher performance, multiples cores can be used in a parallel implementation.
MARS , PANSPERMIA , AND THE ORIGIN OF LIFE : WHERE DID IT ALL BEGIN ? by

During the nineteenth century, when steadystate cosmological theories were in vogue, Lord Kelvin, Svante Arrhenius, and other eminent scientists believed that the transfer of life from one planet to another was a process made inevitable by the infinite extent and duration of the universe. This hypothesis, known as panspermia, subsequently fell out of favor, partly as a result of the acceptance of the Big Bang theory. Most efforts to understand the origin of life have since been framed by the assumption that life began on Earth. However, in the last decade data have begun to accumulate suggesting that panspermia may in fact be a natural and frequently occurring process. Recent paleomagnetic studies on Martian meteorite ALH84001 have shown that this rock traveled from Mars to Earth without its interior becoming warmer than 40oC (Weiss et al. 2000) (Fig. 1). Experiments aboard the European Space Agency’s Long Duration Exposure Facility indicate that bacterial spores can survive in deep space for more than five years (Horneck et al. 1994; Horneck 1999), and laboratory experiments demonstrate that bacteria can survive the shocks and jerks expected for a rock ejected from Mars (Mastrapa et al. 2001). Finally, dynamical studies indicate that the transfer of rocks from Mars to Earth (and to a limited extent, vice versa) can proceed on a biologically short time scale, making it likely that organic hitchhikers have traveled between these planets many times during the history of the Solar System (Mileikowsky et al. 2000; Weiss and Kirschvink 2000). These studies demand a re-evaluation of the long-held assumption that terrestrial life evolved in isolation on Earth. Figure 1. Magnetic scan of a slice of ALH84001, superimposed on its optical image. Intensity of the perpendicular component of the magnetic field is depicted with a red and blue color scale (corresponding to field lines oriented out-of-the-page and into-the-page, respectively). Note the large magnetic anomaly centered on the fusion crust, and the baked zone that extends less than a few mm inwards from it. The center of the rock has a heterogeneous magnetic pattern, indicating that it has not been heated even to 40oC since before 15 Ma (Weiss et al. 2000). This implies that rocks can travel between Mars and Earth without being heat sterilized.
Society and health

1. Introduction 2. Family Pathways to Child Health 3. Community and Health 4. Race and Health: A Multidimensional Approach to Afrrican American Health 6. Explanations for Social Inequities in Health 7. Political Economy and Health 9. The Cultural Frame: Context and Meaning in the Construction of Health 10. The Role of Medical Care in Determining Health: Creating an Inventory of Benefits 11. Thinking Strategically about Society and Health
Increasing SLAM Performance by Integrating Grid and Topology Map

The technique of simultaneous localization and mapping is the most important research topic in mobile robotics. In the process of building a map in its available memory, the robot memorizes environmental information on the plane of grid or topology. Several approaches about this technique have been presented so far, but most of them use mapping technique as either grid-based map or topology-based map. In this paper we propose a frame of solving the SLAM problem of linking map covering, map building, localizing, path finding and obstacle avoiding in an automated way. Some algorithms integrating grid and topology map are considered and they make the SLAM performance faster and more stable. The proposed scheme uses an occupancy grid map in representing the environment and then formulates topological information in path finding by Dijikstra algorithm. The mapping process is shown and the shortest path is decided on grid based map. Then topological information such as direction, distance are calculated on a simulator program then transmitted to robot hardware devices. The localization process and the dynamic obstacle avoidance can be accomplished by topological information on the grid map. While mapping and moving, pose of the robot is adjusted for correct localization by implementing additional pixel based image layer and tracking features. A laser range finder and electronic compass systems are implemented on the mobile robot and DC geared motor wheels are individually controlled by PD based adaptive way. Simulations and experimental results show performance and efficiency of the proposed scheme.
Fluctuations in network dynamics: SMAR1 can trigger apoptosis

SMAR1 is a sensitive signaling molecule in p53 regulatory network which can drive p53 network dynamics to three distinct states, namely, stabilized (two), damped and sustain oscillation states. In the interaction of p53 network with SMAR1, p53 network sees SMAR1 as a sub-network with its new complexes formed by SMAR1, where SMAR1 is the central node, and fluctuations in SMAR1 concentration is propagated as a stress signal throughout the network. Excess stress induced by SMAR1 can drive p53 network dynamics to amplitude death scenario which corresponds to apoptotic state. The permutation entropy calculated for normal state is minimum indicating self-organized behavior, whereas for apoptotic state, the value is maximum showing breakdown of self-organization. We also show that the regulation of SMAR1 togather with other signaling molecules p300 and HDAC1 in the p53 regulatory network can be engineered to extend the range of stress such that the system can be save from apoptosis.
Multi level SVM for subject independent agitation detection

The need to automate the detection of agitation for dementia patients is a major requirement for caregivers. This research aims at detecting the agitation status of the subjects using soft computing techniques that does not require supervision beyond the training phase. An autonomous multi-sensory device has been developed to achieve automatic assessment of agitation and to control stimulation that will reduce the agitation level automatically. The focus of this paper is the agitation detection algorithm. Three vital signs are monitored for agitation detection: the Heart Rate (HR) the Galvanic Skin Response (GSR) and Skin Temperature (ST). These measures are fed into a new SVM architecture: “The Multi level SVM learning machine”. Results show very high detection accuracy of agitation, quick adaptation to the subject and a strong correlation between the physiological signals monitored and the emotional states of the subjects. The result is a learning algorithm that is “Subject-Independent”.