Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic Hub Agent for Data Commercialization

There are few papers about data commercialization framework and we first try to propose a Semantic Hub Agent (SHA) centered data commercialization framework to inspire real-time data interaction among general agents. SHA is supposed to be built as a professional third-party agent that is delegated by them to transfer, maintain, and sell their dataflow. Data format is multiple and thus it is a good opportunity for ontology, a formalized format, to play this role in a globalized way. SHA works on data transferring, data grading, and releasing with powerful reliable server. The prototype experimental system is implemented based on the framework, demonstrating the feasibility of data grading and reorganizing in a clean and effective way. This framework is very meaningful not only for Semantic Web field but also for the “big data” communities who are always facing the problem that their frequently mined data is outdated soon.
Combining SOMs and Ontologies for Effective Web Site Mining

The Internet since the late 90s, when it became mainstream, has dramatically changed the way people work, communicate, get educated, socialize and stay informed about current affairs. According to WorldWideWebSize.com (WorldWideWebSize.com, 2010) the Indexed Web contains at least 14.56 billion pages as of August 2010. The estimated minimal size of indexed World Wide Web is based on the estimations of the numbers of pages indexed by Google, Bing, Yahoo Search and Ask. In addition according to Royal Pingdom (Royal Pingdom, 2009) on December 2009 there were 234 million web sites and on September 2009 1.73 billion Internet users. In the past few years we have also witnessed a new explosion in the usage of the World Wide Web (WWW) with what is commonly referred to as Web 2.0. The term Web 2.0 refers to the set of web sites whose contents are modified by visitor contributions and not only by the webmaster. This includes social networks such as Facebook (Facebook), LinkedIn (LinkedIn), Twitter (Twitter), MySpace (MySpace) as well as blogs and web sites where visitors can share pictures, such as Picasa (Picasa), or video files, such as YouTube (YouTube). The WWW has become an extremely interactive form of communication. The following statistics from Royal Pingdom (Royal Pingdom, 2009) illustrate the rapid penetration of Social Media Networks to everyday life: • 126 million – the number of blogs on the Internet (as tracked by BlogPulse) • 27.3 million – the number of tweets on Twitter per day (November, 2009) • 350 million – people on Facebook • 50% percentage of Facebook users that log in every day • 500,000 – the number of Facebook applications Bearing in mind these huge numbers it is easy to image the massive amount of information available on the World Wide Web. On the other hand significant advances in networking technology (such as very fast Internet connections) and search engines have created an impatient Internet culture. Internet users expect to be able to find the information they seek within seconds. Accessing the Internet is no longer an extracurricular activity that people perform at their spare time at home or a business tool used only by large corporations. It has become a common part of our everyday life. Many people have always an Internet connection available to them in their office and home equipment as well as through mobile devices.
Understanding and using the implicit association test: V. measuring semantic aspects of trait self‐concepts

Implicit Association Tests (IATs) often reveal strong associations of self with positive rather than negative attributes. This poses a problem in using the IAT to measure associations involving traits with either positive or negative evaluative content. In two studies, we employed non‐bipolar but evaluatively balanced Big Five traits as attribute contrasts and explored correlations of IATs with positive (e.g. sociable vs. conscientious) or negative (e.g. reserved vs. chaotic) attributes. Results showed (a) satisfactory internal consistencies for all IATs, (b) explicit–explicit and implicit–implicit correlations that were moderate to high and comparable in strength after both were corrected for attenuation and (c) better model fit for latent variable models that linked the implicit and explicit measures to distinct latent factors rather to the same factor. Together, the results suggest that IATs can validly assess the semantic aspect of trait self‐concepts and that implicit and explicit self‐representations are, although correlated, also distinct constructs. Copyright © 2008 John Wiley & Sons, Ltd.
An Empirical Comparison of Widely Adopted Hash Functions in Digital Forensics: Does the Programming Language and Operating System Make a Difference?

Hash functions are widespread in computer sciences and have a wide range of applications such as ensuring integrity in cryptographic protocols, structuring database entries (hash tables) or identifying known files in forensic investigations. Besides their cryptographic requirements, a fundamental property of hash functions is efficient and easy computation which is especially important in digital forensics due to the large amount of data that needs to be processed when working on cases. In this paper, we correlate the runtime efficiency of common hashing algorithms (MD5, SHA-family) and their implementation. Our empirical comparison focuses on C-OpenSSL, Python, Ruby, Java on Windows and Linux and C and WinCrypto API on Windows. The purpose of this paper is to recommend appropriate programming languages and libraries for coding tools that include intensive hashing processes. In each programming language, we compute the MD5, SHA-1, SHA-256 and SHA-512 digest on datasets from 2MB to 1 GB. For each language, algorithm and data, we perform multiple runs and compute the average elapsed time. In our experiment, we observed that OpenSSL and languages utilizing OpenSSL (Python and Ruby) perform better across all the hashing algorithms and data sizes on Windows and Linux. However, on Windows, performance of Java (Oracle JDK) and C WinCrypto is comparable to OpenSSL and better for SHA-512.
A Single Filter CNN Performance for Basic Shape Classification

IoT cameras and sensors collect images and sensing data from everywhere in the world to transmit them via the Internet. These collected images are stacked into the servers, and an image recognition system on the server, such as CNN (Convolutional Neural Net), mines valuable information. In the near future, when the enormous number of IoTs collect images at various places, these servers would reach an overflow. Hence, if IoTs would send not only images but also analyzed results to the server, it would reduce server loads; however, the conventional CNN is too large to implement this.We propose a single-filter CNN model that can be implemented even ona small IoT. Our CNN model is of minimal configuration with an input layer, an affine transformation layer, a convolution layer, a pooling layer, and a fully connection layer.We evaluate our proposed CNN model with two experiments. First, we check whether it can learn the eleven basic shapes, i.e., a circle, a triangle, a square, etc. Second, we check whether it can classify the basic shapes against their shape reduction and their noise mixture. Results of the first experiment show that our system can classify all the basic shapes perfectly, results of the second experiment show that accuracy depends on the types of filters for both the scaled-shape classification and the inverse-pixel noiseshape classification.
Chimeric antigen receptor T-cell immunotherapy : What pathologists need to know ?

Chimeric antigen receptor T-cell (CAR-T) immunotherapy genetically modifies patients’ own T cells to specifically target cancer antigens on cell surface. CAR-T uses a single chain chimeric antigen receptor and functions in a manner independent of major histocompatibility complex and antigen processing/presentation. CAR-T has shown dramatic improvements in disease free survival in clinical trials on CD19-positive B-cell malignancies, especially B lymphoblastic leukemia/lymphoma. Because of the revolutionary nature of CAR-T, it is expected to become mainstream anti-cancer therapy in the near future. Pathologists have an essential role in CAR-T related patient care and need to be aware of and prepared for the prime time of CAR-T immunotherapy.
T-type NPC Inverter with Active Power Decoupling Capability Using Discontinuous Current Mode

This paper proposes a power decoupling control method based on a discontinuous current mode for a T-type NPC inverter. In general, additional components such as buffer capacitors and inductors are required in order to provide a power decoupling circuit to inverters. These components lead an increase in circuit volume and weight. In the proposed current control method, the power decoupling capability is achieved without any additional components. Furthermore, the grid-tied inductor, which is connected to the output side, is minimized because the discontinuous current mode (DCM) is used for the current control. As a simulation result, the second order harmonic component of the input current is reduced by 90.2% compared to that without power decoupling control. Then, the proposed power decoupling control is confirmed with a T-type NPC inverter as a prototype. Consequently, the second order harmonic component of the input current is reduced by 77.1% compared to that without power decoupling control, whereas the output current THD is 3.13% at 200-W load.
Efficient nonlinear optical ferroelectric liquid crystals for integrated optics devices

The linear electro-optical effect of a novel ferroelectric liquid crystal (FLC) with exceptionally large and stable second order nonlinear optical (nlo) response (d 22 =5 pm/V) is investigated. The electro-optical coefficients r IJ are compared with the corresponding nlo coefficients d JI . It is shown that the electro-optical effect is mainly of electronic origin. This indicates that molecular motions of the nlo-FLC are negligible below its glass transition temperature. Moreover, waveguiding in planar short pitch bistable ferroelectric (SBF) configurations comprising the new nlo-FLC material is demonstrated
PC-based apparatus for characterising high frequency magnetic cores

A PC-based automatic characterisation system (ACS) has been developed to automatically characterise magnetic materials under square wave cyclic excitation from 1 kHz to 100 kHz. A computer-controlled AC to AC converter has been developed for the excitation circuit. A digital oscilloscope gathers the required data through the 8255 interface card. The errors in the ACS have been analysed and overall repeatability is better than /spl plusmn/0.35%. The system has the advantages of ease of use, absence of long-term measuring system drifts and ready variation of high induction and high frequency test parameters. The system operates automatically and measurements on three commercial core materials are reported. Comparisons with the data of manufacturers are included.
Low Cost Data Acquisition System for ECG

The objective of this research work is to develop a low cost circuitry for Electrocardiogram (ECG) data acquisition system that outputs optimum ECG data with very low noise and minute spectral information loss. The experimental results demonstrate that by the careful choice electrodes and placement of electrodes, it is indeed possible to collect pure ECG signal. By using this system, acquires the filtered and amplified ECG data through Line-In port of sound card of computer through MATLAB software. In the design of ECG data acquisition used the instrumentation amplifier packed IC module instead of separate opamp module which results in high common mode rejection ratio up to 80db and minimizes the offset voltage, to very low value up to 25μV and in the design of the notch filter circuits uses UAF42IC, and in the design circuitry of low pass, high pass filter uses the opamp TLO84ICs. The ECG data recorded by developed system useful for purposes of diagnosis of heart related diseases and also researchers study purposes.
Classification : 05 B 05 Keywords : symmetric design , Menon design , Hadamard matrix 1

Let q be a prime power, q ≡ 1 (mod 4), and let p = q+1 2 . We construct an orbit structure for the parameters (4p2, 2p2−p, p2−p) and the orbit size distribution with q + 1 fixed points and 2q orbits of size p. Further, we describe a construction of eight symmetric designs with parameters (196,91,42) admitting an automorphism group isomorphic to Frob7·3 × Z6. Mathematics Subject Classification: 05B05
Structural features and shear‐velocity structure of the “Pacific Anomaly”

[1] We constrain structural features and shear-velocity structure of a low-velocity anomaly in the lower mantle beneath the Pacific (we term it the "Pacific Anomaly") on the basis of forward travel time and waveform modeling of the observed direct S, Sdiff, ScS, SKS, and SKKS phases sampling a great arc across the anomaly from eastern Eurasia to southern South America. After correction for the effects of earthquake mislocation and the seismic heterogeneities outside the Pacific Anomaly, seismic observations suggest that the Pacific Anomaly along the great arc consists of at least two separated portions with a 740-km-wide gap between them. The western portion of the anomaly is about 1050 km wide, extends at least 740 km above the core-mantle boundary (CMB), and exhibits a trapezoidal shape with lateral dimensions increasing slightly with depth. The velocity structure of the western portion varies from -3.0% at the top (740 km above the CMB) to -3.5% at 100 km above the CMB and an average shear-velocity reduction of -5% in the bottom 100 km of the mantle. The eastern portion of the anomaly reaches at least 340 km above the CMB beneath the mid-Pacific with an 1800-km-wide base and has a uniform velocity reduction of -3%. Waveform modeling further suggests a very low velocity layer with a shear-velocity reduction of -10% located at the edge of the western portion of the anomaly. Combining the latest results from others, we present a general picture of structural and velocity structures of the Pacific Anomaly. The structural and velocity features suggest that the anomaly represents a cluster of metastable thermo-chemical piles.
Spatial Statistic Analysis of Earthquakes in Aceh Province Year 1921-2014: Cluster Seismicity

The purpose of this study is to apply the analysis of spatial patterns of earthquakes in the province of Aceh by detecting clusters and looking for spatial patterns locally and globally during the period 1921-2014 using GIS (Geographic Information System). The selected techniques are Average Nearest Neighbor, Moran Global Index, the Getis-Ord General G, Anselin Local Moran Index, the Getis-Ord Gi*, and Kernel Density Estimation. Each technique is implemented using GIS so that calculations can be done efficiently and quickly. The results of this study indicate that (1) The techniques can detect clusters of dots on the spatial pattern of earthquakes; (2) Both globally and locally, it shows that earthquakes clustered in the southwestern heading to the northern part of the province; (3) An earthquake with a greater magnitude generally concentrated in the district of Simeulue, the western part of Aceh Besar and northwest of Sabang
DESIGN A STOP WATCH USING BINARY ADDERS IN QCA

As the transistors decrease in size more and more of them can be accommodated in a single die, thus increasing chip computational capabilities. However, transistors cannot get much smaller the present technology. The quantum-dot cellular automata (QCA) approach represents one of the possible solutions in overcoming this physical limit, even though the design of logic modules in QCA is not always straightforward. In this brief, we propose designing a stop watch using binary adders, which outperforms all state-of-threat competitors and achieves the best areadelay tradeoff. The above advantages are obtained by using an overall area similar to the cheaper designs known in literature. The 64-bit version of the novel adder spans over 18.72 μm2 of active area and shows a delay of only nine clock cycles, that is just 36 clock phases. We observe hours, minutes, and second’s operation in the results.
Synthesis and evaluation of anti-tuberculosis and anti-cancer activities of hydroxynaphthoquinone derivatives

Hydroxy-1,4-naphthoquinone derivatives associated with a variety of side chains have been synthesized from 2-hydroxy-1,4-naphthoquinone 1, butylamine, allylamine and selected aldehydes. Their biologically significant activities, anti-mycobacterium tuberculosis (H37Ra strain), anti-cancer (MCF7-breast cancer and NCI-H187-small cell lung cancer) were studied and reported. It was found that (2E,4E)-1,4-dioxo-1,4-dihydronaphthalen2-yl-5(benzo[d][1,3]dioxol-5-yl)penta-2,4-dienoate 6 showed significant anti-MCF7 and anti-NCI-H187 activities with IC50 value at 3.84 μg/mL and 2.24 μg/mL and was found non-cytotoxic. In addition, 2-((allylamino)(phenyl)methyl)-3-hydroxynaphthalene-1, 4-dione 2f also showed similar bioactivities to those of compound 6 and it showed anti-TB activity with MIC value 25 μg/mL however it was found to display cytotoxic activity against Vero cells.
A Platform for Analysing Advanced Photovoltaic Energy Controllers

Photovoltaic (PV) based power generation technology is being pushed to the forefront as a viable alternative source of renewable energy, particularly in small scale domestic applications. In addition, there is a growing interest in incorporating storage systems with small domestic generators that are connected to the grid. However, by incorporating storage with such systems there is a need to develop controllers that allow the owners to maximize the benefit of such a system. Therefore this work introduces, and charts the development of, a virtual platform to test and analyze advanced controllers for small scale PV based power generation system. A Matlab/Simulink based model takes solar irradiation as an input and determines the power produced, taking into account all system inefficiencies including those of the buck-boost converter, AC inverter and battery charger. Moreover, the work demonstrates how the proposed platform can model any PV installation capacity using solar irradiation, temperature and power consumption data for the location of interest using a simple control strategy. It is suggested that the proposed model will significantly reduce time to develop advanced controllers for PV based power generation systems.
Social Factors Affecting Women's Susceptibility to HIV in India

India is the global epicentre of the HIV/AIDS epidemic in Asia. Previous research indicates that the majority of HIV-positive women in India were infected by their husbands, their only sexual partner, which makes them difficult to identify as a high-risk population. This paper assesses social factors associated with the transmission of HIV based on demographic determinants, such as age; sexual risk behavior; and gendered discrimination, such as domestic violence. Bivariate and multivariate analysis of the National Family Health Survey yields the result that women's socioeconomic status could have an association with their serostatus, as HIV-positive women were significantly more likely to have a low level of education than their HIV-negative counterparts. In contrast, female HIV-positive respondents displayed low tendencies toward high-risk sexual behavior, as less than 10% had two or more sexual partners in their lifetime. Finally, they were significantly more likely to have previously experienced domestic violence (45%) and sexual violence (22%) than the general population. Overall, results illustrate that Indian women's vulnerability toward HIV infection may not be the product of their own sexual risk behavior. The most prominent social factors are their socioeconomic status, such as their level of education, and other sociodemographic determinants, including their region of residence.
Eigenvector Convergence for Minors of Unitarily Invariant Infinite Random Matrices

In [10], Pickrell fully characterizes the unitarily invariant probability measures on infinite Hermitian matrices. An alternative proof of this classification is given by Olshanski and Vershik in [9], and in [3] Borodin and Olshanski deduce from this proof that under any of these invariant measures, the extreme eigenvalues of the minors, divided by the dimension, converge almost surely. In this paper, we prove that one also has a weak convergence for the eigenvectors, in a sense that is made precise. After mapping Hermitian to unitary matrices via the Cayley transform, our result extends a convergence proven in our paper with Maples and Nikeghbali [6], for which a coupling of the circular unitary ensemble of all dimensions is considered.
COMPUTATIONALLY EFFICIENT VARIABLE LINEAR PHASE FILTERS

A three-dimensional circuit structure that interconnects an integrated circuit chip, along with additional active devices and passive components to a substrate by way of a high density multichip interconnect decal disposed on the integrated circuit chip. The three-dimensional circuit structure thus comprises the substrate, an integrated circuit attached to the top of the substrate, and the high density multichip interconnect decal attached to the integrated circuit. One or more passive components and relatively small active devices are attached to the top of the high density multichip interconnect decal. A plurality of three-bond, daisy-chained wedge bonds are used to interconnect the active devices and passive components to the substrate by way of the HDMI decal. Each wedge bond comprises a wire that initiates at an HDMI decal bond pad, an intermediate stitch bond at an integrated circuit bond pad, and terminates at a substrate bond pad.
Graph algorithms via SuiteSparse: GraphBLAS: triangle counting and K-truss

SuiteSparse: GraphBLAS is a full implementation of the GraphBLAS standard, which defines a set of sparse matrix operations on an extended algebra of semirings using an almost unlimited variety of operators and types. When applied to sparse adjacency matrices, these algebraic operations are equivalent to computations on graphs. GraphBLAS provides a powerful and expressive framework for creating graph algorithms based on the elegant mathematics of sparse matrix operations on a semiring. To illustrate GraphBLAS, two graph algorithms are constructed in GraphBLAS and compared with efficient implementations without GraphBLAS: triangle counting and constructing the $k$-truss of a graph.