Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Computation in Online Social Networks

Apart from their numerous other benefits, online social networks (OSNs) allow users to jointly compute on each other’s data (e.g., profiles, geo-locations, medical records, etc.). Privacy issues naturally arise in this setting due to the sensitive nature of the exchanged information. Ideally, nothing about a user’s data should be revealed to the OSN provider or “non-friend” users, and even her “friends” should only learn the output of a joint computation. In this work we propose the first security framework to capture these strong privacy guarantees for general-purpose computation. We also achieve two additional attractive properties: users do not need to be online while their friends compute on their data, and any user value uploaded at the server can be repeatedly used in multiple computations. We formalize our framework in the setting of secure multi-party computation (MPC) and provide two instantiations: the first is a non-trivial adaptation of garbled circuits that converts inputs under different keys to ones under the same key, and the second is based on twoparty mixed protocols and involves a novel two-party re-encryption module. We experimentally validate the efficiency of our instantiations using state-of-the-art tools for two concrete use-cases.
Improved Spectral Clustering via Embedded Label Propagation

Spectral clustering is a key research topic in the field of machine learning and data mining. Most of the existing spectral clustering algorithms are built upon Gaussian Laplacian matrices, which are sensitive to parameters. We propose a novel parameter free, distance consistent Locally Linear Embedding. The proposed distance consistent LLE promises that edges between closer data points have greater weight.Furthermore, we propose a novel improved spectral clustering via embedded label propagation. Our algorithm is built upon two advancements of the state of the art:1) label propagation,which propagates a node\'s labels to neighboring nodes according to their proximity; and 2) manifold learning, which has been widely used in its capacity to leverage the manifold structure of data points. First we perform standard spectral clustering on original data and assign each cluster to k nearest data points. Next, we propagate labels through dense, unlabeled data regions. Extensive experiments with various datasets validate the superiority of the proposed algorithm compared to current state of the art spectral algorithms.
The Design of Automatic Classification System of Integrated Emergency Response System

In this article an alarm information automatic classification system has been designed according to the situation that almost all alarm information in integrated emergency response system have been classified manually. The automatic classification system could make correct and rapid classification of the unstructured alarm information, and because it is unnecessary to do manual intervention in this classification system, it becomes simpler and quicker to perform the classifying process, and further more the effects caused by man's subjective factors on the part classification are avoided. So the system will be useful to integrated emergency response system and provide enough support to the management of alarm information and the choice of preparedness.
FPGA implementation of running DFT for selective harmonics analysis

This paper presents mathematical representation of the Running Discrete Fourier Transform (RDFT) and proposes an architecture for selective harmonics device using RDFT. We used ‘one multiplier and two adders’ arithmetic modules. The proposed architecture has been implemented on FPGA using Verilog HDL. Since this implementation consumes lesser area, its Discrete Fourier Transform (DFT) representation has efficient hardware complexity in the order of O(N). For real-time harmonics detection and analysis we have used target device Virtex-5 (“xc5vlx110t-2-ff1136”), which is a preferred device in field for modern DSP applications.
Selective Targeting of the TPX2 Site of Importin-α Using Fragment-Based Ligand Design

Protein–protein interactions are difficult therapeutic targets, and inhibiting pathologically relevant interactions without disrupting other essential ones presents an additional challenge. Herein we report how this might be achieved for the potential anticancer target, the TPX2–importin‐α interaction. Importin‐α is a nuclear transport protein that regulates the spindle assembly protein TPX2. It has two binding sites—major and minor—to which partners bind. Most nuclear transport cargoes use the major site, whereas TPX2 binds principally to the minor site. Fragment‐based approaches were used to identify small molecules that bind importin‐α, and crystallographic studies identified a lead series that was observed to bind specifically to the minor site, representing the first ligands specific for this site. Structure‐guided synthesis informed the elaboration of these fragments to explore the source of ligand selectivity between the minor and major sites. These ligands are starting points for the development of inhibitors of this protein–protein interaction.
Rethinking Britain and the European Union: Politicians, the Media and Public Opinion Reconsidered

This article re-examines the role of the media in the UK debate on EU membership. It argues that the embedding of euroscepticism in the UK stems neither from a single phase in the UK-EU relationship, nor from the agency of the UK press or its proprietors. Rather, it resulted from the long-standing absence of any pro-European faction within the British polity was able to argue for, or defend, the European Union within the UK national debate. In explaining this, we expand on the concept of 'issue capture' understood as the ability of a vocal minority to dominate the UK's political debate about the EU in the absence of genuine opposition to counteract negative claims and arguments. The findings are drawn from analysis of a dataset that codes more than 16,400 UK newspaper articles published between 1974-2013.
Efficiency Optimization of a 100-W 500 000-r/min Permanent-Magnet Machine Including Air-Friction Losses

This paper proposes a method for the efficiency optimization of ultrahigh-speed permanent-magnet machines. Analytical methods are applied for the modeling of the machine that is equipped with a diametrically magnetized rotor and a slotless stator. The outer dimensions of the machine are design constraints, and the internal dimensioning is optimized for minimum losses. The air-friction losses are taken into account in addition to the usual iron, copper, and eddy-current losses. Laminated silicon-iron or laminated amorphous iron is used as the stator core material. The results show that air-friction losses influence the optimum design considerably, leading to a small rotor diameter at high speeds. The loss minimization and the amorphous iron core make it possible to reduce the calculated losses by 63% as compared to a machine design not considering air-friction losses. The resulting efficiency is 95% for a 100-W 500 000-r/min machine excluding bearing losses. Experimental results are shown to illustrate the validity of the method.
Calculation and analysis of parabolic flexure hinge

Flexible hinges are widely used in micro robotic. Its compliance directly influences an organization's termial localization. Based on the Castigliano's second theorem and calculus, closed-form equations are formulated for compliances of parabolic flexure hinge. Precision of rotation is also evaluated in terms of compliances. The finite element analysis results confirmed the model predictions. The parabolic flexible hinge's performance has been analyzed, and the relations have been obtained by means of two-dimensional geometric parameters. The key manufacture parameters that affect the performance of parabolic flexible hinge the most and rules of design are given, which can provide directions of design precision for the flexible hinge.
A pedagogical framework for learning analytics in collaborative inquiry tasks: an example from a teamwork competency awareness program

Many pedagogical models in the field of learning analytics are implicit and do not overtly direct learner behavior. While this allows flexibility of use, this could also result in misaligned practice, and there are calls for more explicit pedagogical models in learning analytics. This paper presents an explicit pedagogical model, the Team and Self Diagnostic Learning (TSDL) framework, in the context of collaborative inquiry tasks. Key informing theories include experiential learning, collaborative learning, and the learning analytics process model. The framework was trialed through a teamwork competency awareness program for 14 year old students. A total of 272 students participated in the program. This paper foregrounds students' and teachers' evaluative accounts of the program. Findings reveal positive perceptions of the stages of the TSDL framework, despite identified challenges, which points to its potential usefulness for teaching and learning. The TSDL framework aims to provide theoretical clarity of the learning process, and foster alignment between learning analytics and the learning design. The current work provides trial outcomes of a teamwork competency awareness program that used dispositional analytics, and further efforts are underway to develop the discourse layer of the analytic engine. Future work will also be dedicated to application and refinement of the framework for other contexts and participants, both learners and teachers alike.
DIAGNOSIS KESULITAN BELAJAR SISWA DALAM PEMBELAJARAN AKTIF DI SEKOLAH

Lazy and helpless, indifferent and standing against teachers is part of the learning problems of students. The problem tendency not all students can complete in itself. Teachers contribute to help solve the problems faced by students, the teacher's role is needed by learners, the diagnosis aims to determine where lies the learning difficulties faced by the students as well as to find solutions. If the students' learning difficulties is allowed, then the learning objectives will not be achieved well. To overcome these difficulties, the students need help, both in digesting the teaching materials as well as in overcoming other barriers. Students' learning difficulties should be identified and can be addressed as early as possible, so that the instructional goals can be achieved with good. It is necessary to diagnosis of the implementation of this diagnosis helps students to acquire maximum learning results. To conduct the diagnosis of learning difficulties must be taken several phases of activities such as 1) Identify students who are expected to have learning difficulties; 2) localizes learning difficulties; 3) Determine the factors that cause learning difficulties; 4) Estimate of alternative aid; 5) Establish the possibility of how to overcome them; and 6) Follow-up. The diagnosis of learning difficulties do with the testing techniques and nontes. The technique can be used by teachers to diagnose learning difficulties, among others: the test requirements (prerequisite knowledge, skill prerequisites), diagnostic tests, interviews and observations.
Objective measures for speech quality testing

This paper presents a discussion of the philosophy and practice of speech quality testing using objective measures. The emphasis in the paper is on the problems of designing effective objective quality measures and the inherent limitations of such measures. Both traditional and recent techniques are discussed, along with the issues of implementation and evaluation. Experimental results on the correlation between objective quality measures and subjective quality measures are also presented.
OBSERVATIONS OF THE BLAZAR 3C 66A WITH THE MAGIC TELESCOPES IN STEREOSCOPIC MODE

We report new observations of the intermediate-frequency peaked BL Lacertae object 3C 66A with the MAGIC telescopes. The data sample we use were taken in 2009 December and 2010 January, and comprises 2.3 hr of good quality data in stereoscopic mode. In this period, we find a significant signal from the direction of the blazar 3C 66A. The new MAGIC stereoscopic system is shown to play an essential role for the separation between 3C 66A and the nearby radio galaxy 3C 66B, which is at a distance of only 6′. The derived integral flux above 100 GeV is 8.3% of the Crab Nebula flux and the energy spectrum is reproduced by a power law of photon index 3.64 ± 0.39stat ± 0.25sys. Within errors, this is compatible with the one derived by VERITAS in 2009. From the spectra corrected for absorption by the extragalactic background light, we only find small differences between the four models that we applied, and constrain the redshift of the blazar to z < 0.68.
Efficient location management mechanism for overlay LTE macro and femto cells

Femto cells will be adopted in LTE to provide indoor coverage, and CSG (closed subscriber group) will be supported for service provisioning. Due to potential huge number of femto cells and the impacts from CSG related functionalities, conventional location management may cause low efficiency in LTE deployment. This paper analyzes the technical issues and proposes an efficient location management mechanism for LTE femto cells considering the overlay macro cells. Performance analysis is conducted to demonstrate the effectiveness and advantages. The proposed mechanism can be applied to large scale deployment of LTE femto cells in the near future.
Multitaper Cross-Spectral Analysis of Closely Located NTS Explosions

Abstract : Location relative to a reference event is often more useful and precise than absolute event location. Such location requires relative times for pairs of events observed at a common station, which can be obtained with high precision for similar events by waveform cross-correlation. The precision can be further boosted by applying the cross-spectral analysis method, which can provide relative delay times with resolution up to an order of magnitude better than the seismogram sampling interval. Software for cross-spectral analysis based on use of both single cosine taper and the significantly more sophisticated multitaper was developed and tested on real data. Analysis of data from six closely-located Yucca Flat explosions provided relative locations with mean location error of only about 1 km; an impressive result if one considers the large epicentral distances and the complex geology of the Nevada Test Site. Mean velocities along the four source-receiver paths were found to be stable, and significantly different, suggesting considerable anisotropy. The cross- spectrum method was also applied to regional data from two pairs of closely located NTS explosions recorded at common stations. Our results indicate that the analysis can detect small differences (of the o 0.1%) in the propagation velocities of regional phases generated by the two shots. Multitaper, Relative location, Cross-spectral analysis, Inter-source coherence, Regional phases, Colocated explosions.
Response of Mitochondrial Traffic to Axon Determination and Differential Branch Growth

Mitochondria are concentrated in regions of the neuron where the demand for mitochondrial function is high, such as nodes of Ranvier, synapses, and active growth cones. Does mitochondrial transport respond to changes in neuronal energy consumption and architecture, or does it precede and perhaps predict them? We have used axon determination, elongation, and alternating branch growth in hippocampal neurons to analyze the cellular cues that control mitochondrial traffic. During the stage 2–3 transition, when one minor process becomes the axon and accelerates its growth, mitochondria do not uniformly cluster at the base of the prospective axon. There is increased entry of mitochondria into the nascent axon, but this does not require accumulation near the axon. After axonal elongation is under way, the mitochondrial density of the minor processes decreases. Axonal towing experiments showed that elongation alone does not result in transport of mitochondria into the axon; thus, cytoplasmic flow cannot explain the entry of mitochondria into growing axons. Analysis of mitochondrial transport during alternating growth of axonal branches showed that mitochondrial traffic responds to changes in growth through regulation of entry into, but not exit from, branches. Branch-towing experiments showed that this response is not caused by axonal elongation alone, nor does it require an active growth cone. We propose that mitochondrial traffic in axons responds to changes in axonal outgrowth, and that the mechanism by which sorting at branch points occurs is different from the mechanism responsible for concentrating mitochondria at the growth cone.
Modeling of parallel electric field tunnel FETs

Tunnel FETs with vertical tunnel paths are fabricated and successfully modeled by the nonlocal band to band tunneling model. Although enhancement of ON currents are obtained by longer source gate overlap lengths, the increase of the ON current is less than proportional to the overlap lengths, because of non-uniformity of the band to band tunneling generation rates. The behavior of this type of tunnel FETs is precisely explained by the device simulation model. The key point is the peak generation rates at the source edge.
The surprising Far-UV spectrum of the polar BY Camelopardalis

We report on the first far-UV observations of the asynchronous polar BY Cam made by the Far-Ultraviolet Spectroscopic Explorer (FUSE) . The source is known to exhibit the most extreme NV/CIV emission resonance line ratio ob- served among polars. The FUSE observations reveal a OVI resonance line weaker than in the prototype of polars, AM Her, with the absence of a detectable narrow component. The OVI broad line is detected with an equivalent width of the same order as in AM Her, the blueward doublet component is clearly present but the redward component is strongly aected by H2 absorption. The presence of a strong NIII line and weak CIII lines also confirms the peculiar CNO line flux. We compare the resonance CNO line intensities with the predictions of the CLOUDY plasma code coupled to a geometrical model of the accretion col- umn. Varying the temperature and/or intensity of the ionising spectrum is unable to reproduce the observed broad line ratios. A solution is obtained by significantly altering the element abundances with a strong depletion of C, overabundance of N and a weak underabundance of O. This confirms previous suggestions of non-solar abundances which may result from redistribution in the accreted material following nova outbursts and/or the secondary nuclear evolution. A very significant H 2 absorption is observed in front of the source, a possible indication for either the existence of a dense interstellar cloud or of circumstellar material.
On-line measurement of biomass using colloid dielectric probe and open-ended cell. Determination of the aggregation threshold

This paper presents a new approach to assess the biomass concentration of bacteria in a culture medium. It is based on the use of the colloid inductive permittivity probe, which is not affected by the electrode polarization, complemented by the traditional open-ended coaxial line measuring method. The method probes the interactions between the membranes of the cells and the applied electric fields in the RF and the Microwave frequency ranges. It allows the characterization of each type of cells with a specific relaxation process. The specific relaxation frequency is used as a fingerprint of the cell strain, while the relaxation amplitude is related to its concentration. By using appropriate and complementary de-convolution techniques, it is possible to identify reliably the elementary relaxation processes. Specifically, the frequency-dependent dielectric responses of Lactobacilli in DMEM are investigated in the [75 KHz–30 MHz] and in the [130 MHz–20 GHz] ranges. The method is tested against biological standard methods, and used successfully to predict concentration of Lactobacilli in adverse conditions. Moreover, because of the direct measurement over large concentration ranges, the concentration threshold of the bacteria aggregation can be precisely identified from the behavior of the amplitude of the specific medium-frequency relaxation process, characterized by a transition from a linear evolution to a second straight line with a different slope. The method can be easily adapted to the on-line monitoring of the growth of biological cells and to the control of the fermentation processes.
Privacy and secrecy in ubiquitous text messaging

This paper presents a study on privacy and secrecy requirements that users feel while in the presence of other people. They are viewed as issues of a social activity and pertain to the desire that the content of messages or the act of writing or reading them is not perceived by others. We assess the needs for privacy according to the message's themes and acquaintance type with the recipient. We also present and discuss our findings considering user strategies in coping with the required privacy using both a quantitative and a qualitative approach. The study results show clearly the need to consider those requirements in the design of messaging applications for mobile devices. Circa 50% of the messages analyzed required privacy on the act of writing/reading. The reasons are multifaceted and vary according to the addressees and the content type reaching 70% for specific cases. We close the paper, with a proposal of a personal, multimodal and inconspicuous communication framework, which not only allows users to define their vocabulary, but also entry and output methods from a range of different modalities.
Facilitating algorithm visualization creation and adoption in education

OF DOCTORAL DISSERTATION HELSINKI UNIVERSITY OF TECHNOLOGY P. O. BOX 1000, FI-02015 TKK http://www.tkk. fi Author Ville Karavirta Name of the dissertation Manuscript submitted May 29, 2009 Manuscript revised 6.11. 2009 Date of the defence 14.12. 2009 Article dissertation (summary + original articles) Monograph Faculty Department Field of research Opponent(s) Supervisor Instructor Abstract
Affective and Holistic Approach at TRECVID 2010 Task - Semantic Indexing (SIN)

This paper reports our experiments for TRECVID 2010 task: Semantic Indexing. We present two approaches namely, Affective and Holistic. In the first approach, we have used combination of affective features from image, video and audio trained with neural network algorithm. Image features employed are color histogram and face detection from the keyframe. The number of face is also used in one of the runs. Video features include the motion activity and shot duration. Additionally, the audio power is included as feature. For the second approach, color, texture and scene features are extracted from the whole keyframe image as well as its background and saliency regions. Genetic algorithm is used to find the weight of each feature for effective combination. Then, KNN is used to propagate the annotation. We have submitted 4 runs where we distinguish the first two as affective category and the the last two as holistic ones. The summary is as follows: • kmlabGITS1-color histogram, motion, rhythm, sound and face number trained using neural network • kmlabGITS2-color histogram, motion, rhythm, sound and without face number trained using neural network • kmlabGITS3-combination of 5 image features (hsv bg, gabor, haar, gist and lab bg) using Genetic Algorithm and KNN • kmlabGITS4-combination of 5 image features (hsv, hsv bg, haar, haar roi and gist) using Genetic Algorithm and KNN