Miracle-dz/UniFAR-FTUs huggingface dataset:
A Probability Verification Strategy Based on Credibility of Router in Content Centric Networking

As the representative architecture of the next generation network, Content Centric Networking (CCN) adopts a content-oriented security design by using the signature and verification mechanism, thus binding security to content itself. However, because of the huge computation overhead this basic design may cause, it cannot be exploited effectively. As a result, the content pollution has been a serious security threat in CCN. Aiming at this problem, this paper evaluates the validity of received data traffic and defines it as the credibility of router, then proposes a probability verification strategy based on router’s credibility (named as PVSRC in short). The verification probability of PVSRC is co-determined by the credibility and the maximum verification capacity of router. To assess the strategy performance, the theoretical approximation expressions are derived for valid content hit probability,verification overhead and packet drop rate of user. The numerical results show that PVSRC can guarantee high percentage of valid contents in network while reducing the workload of router. Compared with the strategy of verification on hit, it provides better robust protection against content pollution attack.
Numerical simulation of ac transport in graphene on a SiO 2 substrate

We calculate the complex conductivity of graphene in the terahertz (THz) to mid-infrared (mid-IR) frequency range using a numerical simulation that couples the two-dimensional (2D) ensemble Monte Carlo technique (EMC) for carrier transport, the three-dimensional (3D) finite-difference timedomain (FDTD) technique for electrodynamics, and molecular dynamics (MD) for short range Coulomb interactions. We demonstrate the effect of the typically used silicon-dioxide substrate on the high-frequency carrier dynamics in graphene and show good agreement between recent experimental results and our numerical simulations. Keywords-graphene; electron transport; terahertz; conductivity
Nanobiosensor for Health Care

A chemical sensor: is a device that transforms chemical information, ranging from the concentration of a specific sample component to total composition analysis, into an analytically useful signal (IUPAC). Biosensors: are analytical tools for the analysis of bio-material samples to gain an understanding of their bio-composition, structure and function by converting a biological response into an electrical signal (Figure 1). The analytical devices composed of a biological recognition element directly interfaced to a signal transducer which together relate the concentration of an analyte (or group of related analytes) to a measurable response. The term 'biosensor' is often used to cover sensor devices used in order to determine the concentration of substances and other parameters of biological interest even where they do not utilise a biological system directly.
Measurement of CP violation and constraints on the CKM angle # in B

A model-dependent amplitude analysis of B± → DK± with D → K0 Sπ+π− decays is performed using proton–proton collision data, corresponding to an integrated luminosity of 1 fb−1, recorded by LHCb at a centre-of-mass energy of 7 TeV in 2011. Values of the CP violation observables x± and y±, which are sensitive to the CKM angle γ, are measured to be x− = +0.027 ± 0.044+0.010 −0.008 ± 0.001, y− = +0.013 ± 0.048+0.009 −0.007 ± 0.003, x+ = −0.084 ± 0.045 ± 0.009 ± 0.005, y+ = −0.032 ± 0.048+0.010 −0.009 ± 0.008, where the first uncertainty is statistical, the second systematic and the third arises from the uncertainty of the D → K0 Sπ+π− amplitude model. The value of γ is determined to be (84+49 −42)◦, including all sources of uncertainty. Neutral D meson mixing is found to have negligible effect. © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/). Funded by SCOAP3.
Autonomous Vehicle Technologies : Localization and Mapping

Vehicle self-localization is an important and challenging issue in current driving assistance and autonomous driving research activities. This paper mainly investigates two kinds of methods for vehicle self-localization: active sensor based and passive sensor based. Active sensor based localization was firstly proposed for robot localization, and was introduced into autonomous driving recently. The Simultaneous Localization and Mapping (SLAM) techniques is the representative in active sensor based localization. The passive sensor based localization technologies are categorized and explained based on the type of sensors, Global Navigation Satellite System (GNSS), inertial sensors and cameras. In this paper, researches utilizing active sensors and passive sensors for autonomous vehicles are reviewed extensively. Finally, our challenges on self-localization in urban canyon by the system integration of passive sensors is introduced. GNSS error has been improved for the purpose of the self-localization in urban canyon. The performance of the proposed method would suggest possible solution autonomous vehicles which makes use of passive sensors more.
Diffusion of the Internet in Rural Communities : Methodological Dimensions and Empirical Insights

This article discusses the patterns of the Internet diffusion in rural communities. It explores the patterns of the Internet adoption at individual (micro) level (social characteristics of the Internet adopt ers, the role and social identity of change agents in th e diffusion of the Internet) and the main institutional changes that are shaping, or shaped, by the diffusi on of the Internet in the rural communities. Exploring patterns of the Internet diffusion at an individual (micro) level, authors follow theories which focus on adopter studies in explaining patterns of innovation diffusion. Identifying the ways in which different institutional spheres and mechanisms are shaping the diffusion of the Internet in rural communities, it is relevant to apply the theory of institutional isomorphism. Empirical evidence showed that Lithuanian rural population can be considered being in the early adoption phase. At the community level the key acto rs facilitating the diffusion of the Internet in rural communities are educational institutions, different NGOs, especially the Open Society Fund that held seminars for members from rural community organizations about the use of IT, and the public Internet access points in rural communities.
LOCAL MODELS OF LAND USE & LAND COVER CHANGE ANALYSIS . THE CASE OF RIDAURA SESSILE OAK FORESTLAND ( NATURAL PARK OF MONTSENY . BARCELONA )

Relations between humans and environment had been characterized since the origins of mankind by the transformation, especially since the Neolithic period and the first agrarian works1; other authors located the origin of marked environmental changes in the connection between Europe and America2. Nevertheless, the historic episode identified like the beginning of deep environmental changes linked to human activity was the Industrial Revolution. In this period biophysical factors’ importance decreased in relation to socioeconomic elements (demographic trends, technological changes, etc.) like key elements in global change processes. Since consumption model’s generalization and consolidation initiated by the Industrial Revolution thinking currents that reported first environmental alterations signs arose; an example was Rachel Carson’s “Silent Spring” (1962), one critic to development model in force from the analysis of pesticide hazard. In this scenario of global environmental crisis, where humans have exceeded their environmental transformation capacity (an underlying critic since thirties that reached its climax during 1973 and 1974s energy crisis), the Negative Anthropocentric point of view of understanding society and environment relations, where technocratic (Positive Anthropocentrism) arguments were considered erroneous and humans were pointed out like planet’s problems reason, became important. The denunciation of Exceptionalist Paradigm’s (called Human Exemptionalist Paradigm later) fragility, where
Can Nursing Information System increase providers ’ adherence to the Guideline of AMI risk factor Management ? : A Retrospective Study

Background: Risk management for acute myocardial infarction (AMI) patients is suboptimal even the clinical guidelines force nurses to manage patients at high risk. The effect of a nursing information system used to support nurses implement risk management is understudied. Objective: To evaluate nursing care provider adherence to the guideline of risk management on AMI patients which nursing process was assisted by a nursing information system. Methods: The risk factors of AMI patients care data were obtained from retrospective review of patient records that received nursing care assisted by the NIS during hospitalized period from January 2006 to December 2007. Results: The guideline adherence rates of assessment with education intervention for all AMI risk factor as follows: (1) hyperlipidemia 73.7% (81.2%); (2) hypertension 60.1% (60.1%); (3) diabetes 85.12%(37%); (4) physical activity 87% (92.6%); (5) obesity 90.2% (90.4) (6)smoke 90.4% (49%). Conclusion: There are some practical benefits for care provider to use the NIS in clinical settings. However, a small substantial potential to improve nursing workflow and system design is needed to increase guideline compliance on risk factor management. Those patient education and risk factors are essential components to achieve a personalized and patient-center care goal.
A Generalized Cellular Texture Basis Function

Texture basis function plays a very important role in procedural texturing. In the literature, there are only two texture basis functions proposed, namely Perlin's noise and Worley's noise. In this paper, a new generalized cellular texture basis function is proposed. This new texture basis function is a generalization of Worley's noise. The proposed basis function can be used in procedural texturing algorithms to generate some interesting texture patterns, such as crumpled wrinkle, wood, marble, cloud, flame and cell-like patterns.
RELATIONSHIP BETWEEN SELF-EFFICACY AND EMOTIONAL INTELLIGENCE IN TEACHERS OF SARAVAN CITY

The aim of present study was to investigate the relationship between self-efficacy and emotional intelligence in teachers of Saravan city. The statistical population of present study was including all male and female teachers (274 male and 283 female) of Saravan, Iran in 2014. Based on Krejcie and Morgan sampling table, sample study were 228 students (112 male and 116 female) that selected by random sampling method. For data collection we used General self-efficacy (GSE) and Schutte Emotional Intelligence Scale. Data were analyzed by SPSS software and descriptive and Pearson correlation test used for data analysis. Results showed that Self-efficacy has significant relationship with emotional intelligence and its subscales (Assessing emotions and Regulation emotions) at 95% confidence level.
Development of novel approaches for high resolution direction of arrival estimation techniques

This thesis presents the development of MUSIC algorithm based novel approaches for the estimation of Direction of Arrival (DOA) of electromagnetic sources. For the 2D-DOA estimation, this thesis proposes orthogonally polarized linear array configuration rather than the conventionally invoked two dimensional array. An elegant one dimensional search technique to compute 2D-DOA estimation for a single source scenario has been proposed. To facilitate one dimensional search for 2D-DOA estimation, a closed form relationship between the azimuth and elevation angles of the 2D-DOA is derived using the analytical expressions of radiation patterns of Rectangular Waveguide (RWG) and Circular Waveguide (CWG). The computation time for the proposed one dimensional search technique is reduced by a factor of 50 and 150 for 1◦ and 0.5◦ search interval respectively. To improve the accuracy and the resolution of 2D-DOA estimation in case of closely spaced sources, this thesis proposes novel array configurations such as orthogonally polarized planar array, orthogonally mounted linear array and orthogonally polarized linear array. Through numerous simulation studies, a relative performance comparison of 2D-DOA estimation realized through various proposed novel array configurations has been carried out to highlight the accuracy and resolution under wide range of SNR conditions. The thesis presents a discussion on the analysis of effect of spatial de correlation in lieu of the employed orthogonally polarized elements in the array configuration on the improved accuracy and resolution of the 2D-DOA estimation. This thesis also deals with the utility of the proposed orthogonally polarized array configurations for tracking of 2D-DOA angles of non-stationary signal sources. The weighting factor and forgetting factor approaches for smoothing the time-varying covariance matrix of the non-stationary sources are studied. The simulation studies on 2D-DOA tracking by invoking proposed array configurations along with the proposed smoothing techniques prove that orthogonal polarized array configuration track the DOA source angle with minimum estimation errors. The thesis proposes the replacement of computationally intensive numerical schemes in Multiple Signal Classification (MUSIC) algorithm such as eigen decomposition and singular value decomposition with the subspace tracking techniques such as Bi-Iterative Singular Value Decomposition (Bi-SVD) algorithm. Invoking the concept of sub-band processing, the thesis addresses the validity of the extension of the presented 2D-DOA estimation analysis to wide band signal. A two subband filter approach is proposed for the estimation 2D-DOA of single and two wideband sources. The simulation study of the two subband filter approach along with the orthogonal polarized array configurations confirms the better estimation accuracy as well as the lesser computation time.
An Efficient Fused Arithmetic Model for FFT in OFDM applications

This investigation proposes the radix 2, radix 4 and radix 8 FFT algorithms with improvement in performance using fused floating point arithmetic units. Multiplication operation dominates the execution time and hardware circuitry required in implementing the FFT algorithms. This study focuses on the identification of redundant computation in both FP and FFT modules based on hardware fusion technique. The Distributed Arithmetic (DA) based Canonical Signed Digit (CSD) technique is applied for suitable mantissa computation. Moreover higher radix indices with improved system performance are presented without adding any pipelining and parallel processing techniques. The comprehensive comparison results indicate that the proposed algorithms exhibits reduced area and high operating frequency, and thus have the highest efficiency.
FACTORS, MAINLY DEPTH AND WAVELENGTH, AFFECTING THE DEGREE OF UNDERWATER LIGHT POLARIZATION

Field and laboratory comparisons of visual, photographic and photoelectric methods of measuring linear polarization of underwater light demonstrate that satisfactory agreement may be obtained between their results. While laboratory data match closely, several uncontrollable factors, especially changes in cloudiness, increase the variance of field measurements. Of the three, the photoelectric polarimeter lends itself best to the study of degree of polarization in the horizontal plane at various depths. The present report briefly describes the principle of this device and summarizes the results of a series of measurements correlating principally the effects of wavelength (X) and depth (h) down to 115 m with the degree of linear polarization in submarine illumination (p.) of water masses having a wide range of turbidities. Although the data so obtained are continuous through 360° in azimuth, most of the analyses have been made for 8 = O, ±90 and 180° with a few for ±45°, where 8 is azimuth measured from the sun's bearing, positive to the right, negative to the left. In general, p is maximal near the surface, diminishes rapidly in the first lQ-40 m, and then decreases more slowly to some equilibrium level. The maximal p, the extent of its rapid decrease, and the equilibrium value all depend strongly on the turbidity of the water, on the cloud cover, and on the proximity and albedo of the bottom. Polarization increases rapidly with transparency in turbid and moderately clear waters but more slowly in extremely clear water. Thus, in quite clear water far from the bottom p may reach 60% or more near the surface, decrease rapidly at greater depths to about 40 m, and then level off slowly to 30% in deep water. Under such conditions, with the solar zenith angle (i) not too small, p is maximum for 8 = ± 90°, less for 8 = 180° and least for 8 = 0°. W:ith i smaller or with greater turbidity, p at O = 180° may equal p -at ±90°; under extreme conditions of this sort p may not vary with O. The influence of X on p is small but definite, with Pmin occurring at blue or blue-green wavelengths; both ends of the spectrum, particularly the longer wavelengths, polarize more strongly. The amplitude 1 Contribution No. 245 from the Bermuda Biological Station.
A 3 D Electromagnetic Analysis and Circuit Modeling for Wireless Charging of Electrical Vehicles

This paper focuses on the design of a contactless charging system for Electric Vehicle (EV) using inductive loops. A 3D Finite Element (FE) electromagnetic modeling approach is carried out to calculate the electromagnetic coupling and inductances of the system according to the change of some geometry parameters; also the effects of these changes on the electrical values of the whole system are studied.
DEVELOPING A HOME HEALTH CARE NEED SCALE FOR THE ELDERLY YAfiLILARDA EVDE SA⁄LIK H‹ZMET‹ ‹HT‹YACI BEL‹RLEME ÖLÇE⁄‹'N‹N GEL‹fiT‹R‹LMES‹

Girifl: Çal›flma, evde sa¤l›k hizmetlerinin sunumunda ulusal standartt›n sa¤lanabilmesi için ba¤›ml›l›k düzeyini esas al›p evde sa¤l›k hizmeti ihtiyac›n› belirleyecek bir ölçek gelifltirmesi amac›yla yap›lm›flt›r. Gereç ve Yöntem: Bafllang›ç anketi 30 sorudan oluflmakta idi. Uzman görüflleri al›nd›ktan sonra 3 soru anketten ç›kar›ld›. Kalan 27 soru içerisinden yafll›larda evde sa¤l›k hizmeti ihtiyac›n› belirlemedeki daha etkin sorular lojistik regresyon analizi sonuçlar›na göre belirlendi. Ölçe¤in son hali 9 sorudan oluflmakta idi. Yap› geçerlili¤ini belirlemek amac›yla faktör analizi yap›ld›. Ölçe¤in güvenilirli¤ini belirlemek için, Cronbach alfa iç tutarl›l›k katsay›s› ve madde-toplam korelasyonlar› hesapland›. Ölçe¤in kestirim de¤erlerinin duyarl›l›k ve özgüllü¤ünü belirlemek amac›yla Reciever Operating Characteric analizi yap›ld›. Bulgular: Kaiser-Mayer-Olkin katsay›s› 0.847 olarak hesapland›. Faktör döndürme sonras›nda ölçe¤in birinci alt boyutunun 5 maddeden (günlük yaflam aktiviteleri), ikinci alt boyutunun 4 maddeden (t›bbi durumlar) olufltu¤u belirlendi. Cronbach alfa katsay›s› 0.803 olarak hesapland›. Yafll›larda Evde Sa¤l›k Hizmeti ‹htiyac› Belirleme Ölçe¤i, Katz Ölçe¤i (r=-0.907) ve Barthel indeksi ile yüksek korelasyon gösterdi. Reciever Operating Characteric analizi’nde e¤ri alt›nda kalan alan 0.860’d›. Ölçe¤in kesim noktas› 2 olarak belirlenmifl olup, duyarl›l›¤› %68.2 ve özgüllü¤ü %92.9 olarak saptand›. Sonuç: Yafll›larda Evde Sa¤l›k Hizmeti ‹htiyac› Belirleme Ölçe¤i evde sa¤l›k ihtiyac›n› belirlemede kullan›labilecek etkili ve geçerli bir ölçektir. Ölçe¤in daha genifl gruplarda uygulanmas› önerilmektedir. Anahtar Sözcükler: Yafll›; Evde Bak›m Ölçe¤i; Günlük Yaflam Aktiviteleri; Ölçek Gelifltirme ABSTRACT
Automatic Extraction of Library Data-Flow Semantics for Partial Program Analysis

We propose FLOWMINER, a tool for mining expressive, fine-grained data-flow summaries from Java library bytecode. FLOWMINER captures enough information to enable context, type, field, object and flow-sensitive partial program analysis of applications using the library. FLOWMINER’s summaries are compactflow details of a library that are noncritical for future partial program analysis of applications are elided into simple edges between elements that are accuracycritical. Hence, summaries extracted by FLOWMINER are an order of magnitude smaller than the original library. We present (i) novel algorithms to extract expressive, fine-grained, compact summary data-flows from a Java library, (ii) graph summarization paradigm that uses a multi-attributed directed graph as the mathematical abstraction to represent summaries, (iii) opensource implementation (FLOWMINER) of the above that saves summaries in a portable format usable by existing analysis tools, and (iv) experiments with recent versions of Android showing that FLOWMINER significantly advances the state-ofthe-art tooling in accuracy. Website: http://powerofpi.github. io/FlowMiner/
Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform

There are different variants of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and Challengers (ALC-PSO). These algorithms improve the performance of PSO in terms of finding the best solution and accelerating the convergence speed. However, these algorithms are computationally intensive. The goal of this paper is high performance implementations of Traditional PSO (TPSO), APSO and ALC-PSO using CUDA technology. We have implemented these three algorithms on both central processing unit (CPU) and graphics processing unit (GPU) in order to analyze and improve their performance and reduce their computational times. We have achieved speedups up to 14.5x, 31x, and 152x, for GPU-TPSO , GPU-ALCPSO , and GPU-APSO, respectively. In addition, different number of threads has been chosen in order to find an appropriate number of threads per block for both APSO and ALC-PSO algorithms. Our experimental results show that the best choice for number of threads per block depends on the number of existing variables and constants in each algorithm and the number of registers per multiprocessor.
Online Project Based Learning : The efficacy for signed language interpreters

Four online lessons were created to study the efficacy of teaching translation within a constructivist approach (Wilcox & Shaffer, 2005). The lessons were self-directed and project-based. Twenty participants supplied a baseline sight translation of an English story into American Sign Language (ASL). A model of “meaning” was used to assess the texts consisting of three levels: literal, enrichment and implicature (McDermid, 2012). A mixed method evaluation was conducted and results showed that participants enriched their baseline target texts, ranging from 2 to 17 instances. Eight completed a number of online lessons and submitted a second translation of the text, which evidenced more enrichment (p* < .05). The participants described the lessons as beneficial and appreciated the design. However, the completion rate was low as was student-to-student interaction, perhaps due to the interface. Tentative conclusions of this small-scale pilot study were that for this cohort, self-directed, project-based learning led to enhanced use of enrichment and implicatures.