Miracle-dz/UniFAR-FTUs huggingface dataset:
MobileMiner: a real world case study of data mining in mobile communication

Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance to see a working data mining system on real mobile communication data. In this demo, we showcase our new system MobileMiner on a real mobile communication data set, which presents a case study of business solutions using state-of-the-art data mining techniques. MobileMiner adaptively profiles users' behavior from their calling and moving record streams. Customer segmentation and social community analysis can be conducted based on user profiles. We show how data mining techniques can help in mobile communication data analysis. Moreover, we also show some interesting observations which still cannot be mined by the current techniques, and thus may motivate new research and development.
Study on the Chinese continuous speech recognition under noise environments based on PCANN/HMM

This paper presents a method to improve the noise robustness of Chinese continuous speech recognition system based on the PCANN/HMM hybrid structure. By using the principal components combined by successive multi-frames as the input of HMM, it introduces the dependency between frames and also reduces the noise effectively. And in this paper, we also improve the traditional spectral subtraction method. Experimental results demonstrate the efficiency of the new algorithms in Chinese continuous speech recognition under high noisy environments.
Running head : FAIRNESS IN INFANTS ? Do infants have a sense of fairness ?

Two experiments examined infants’ expectations about how an experimenter should distribute resources and rewards to others. In Experiment 1, 19-month-olds expected an experimenter to divide two items equally, as opposed to unequally, between two individuals. Infants held no particular expectation when the individuals were replaced with inanimate objects, or when the experimenter simply removed covers in front of the individuals to reveal the items (instead of distributing them). In Experiment 2, 21-month-olds expected an experimenter to give a reward to each of two individuals when both had worked to complete an assigned chore, but not when one of the individuals had done all the work while the other played. Infants held this expectation only when the experimenter could determine through visual inspection who had worked and who had not. Together, these results provide converging evidence that infants in the second year of life already possess context sensitive-expectations relevant to fairness.
SCTP: A Proposed Standard for Robust Internet Data Transport

The stream control transmission protocol (SCTP) is an evolving general purpose Internet transport protocol designed to bridge the gap between TCP and UDP. SCTP evolved from a telephony signaling protocol for IP networks and is now a proposed standard with the Internet Engineering Task Force. Like TCP, SCTP provides a reliable, full-duplex connection and mechanisms to control network congestion. However, SCTP expands transport layer possibilities beyond TCP and UDP, offering new delivery options that are particularly desirable for telephony signaling and multimedia applications.
Clinicopathological significance of ZEB-1 and E-cadherin proteins in patients with oral cavity squamous cell carcinoma

Background Zinc-finger E-box binding homeobox 1 (ZEB-1), a member of the ZFH family, plays a key role in epithelial–mesenchymal transition during tumor progression in various cancers. However, little information is available on ZEB-1 expression in oral cavity squamous cell carcinoma (OSCC). Methods The expression levels of ZEB-1 and E-cadherin were assessed by immunohistochemistry in a cohort of 120 patients with OSCC treated by curative operation, and then the correlations between ZEB-1 and E-cadherin expression and clinical factors were evaluated, including patient prognosis. Quantitative real-time polymerase chain reaction (qRT-PCR) assays were performed to assess mRNA levels of ZEB-1 and E-cadherin in 20 matched OSCC specimens. Results Patients were followed up for a median period of 66 months (range 8−116 months), and 5-year overall survival was 68.3%. Positive ZEB-1 and E-cadherin immunostaining reactivity was detected in 64 (53.3%) and 53 (44.2%) patients, respectively. There was a negative correlation between ZEB-1 expression and E-cadherin expression. In addition, overexpression of ZEB-1 was significantly associated with recurrence, lymph node metastasis, and pathologic grading of patients, loss of E-cadherin was significantly associated with lymph node metastasis and pathologic grading of patients. Univariate analysis showed that increased ZEB-1 expression, loss of E-cadherin expression, lymph node metastasis, recurrence, and pathology grade were prognostic factors. In multivariate analysis, increased ZEB-1 expression and recurrence remained independent prognostic factors. In particular, patients with both ZEB-1 positivity and loss of E-cadherin expression had a poorer prognosis. qRT-PCR showed that ZEB-1 mRNA expression was higher in OSCC compared to the adjacent nontumorous tissues, while E-cadherin mRNA expression was lower in tumor tissues. Conclusion This study shows that overexpression of ZEB-1 and loss of E-cadherin expression are significantly correlated with poor survival in OSCC patients, and ZEB-1 expression might serve as an independent prognostic biomarker of OSCC.
Towards negotiable privacy policies in mobile healthcare

With the increased use of mobile technologies in the health sector, patients are more and more concerned about their privacy protection. Particularly, due to the diversity of actors (physicians, healthcare organizations, Cloud providers.) and the heterogeneity of privacy policies defined by each actor, conflicts among these policies may occur. We believe that negotiation is one of the best techniques for resolving the issue of conflicting privacy policies. From this perspective, we present an approach and algorithm to negotiate privacy policies based on an extension of the bargaining model. Besides, in order to show how our solution can be applied, we present an example of conflicting privacy policies expressed using S4P, a generic language for specifying privacy preferences and policies.
Moving Medical Semeiotics to the Digital Realm - SEMEOTICONS Approach to Face Signs of Cardiometabolic Risk

In modern medicine signs derivable from face observation remain an important part of the physical examination that, together with the anamnesis, constitutes the basis for a rational decision-making. Therefore, face semiotics may be considered as a potential source of information for obtaining markers of obesity, metabolomics, cardiovascular homeostasis and psychophysical status. Once properly mapped to computational descriptors, their systematic exploitation is expected allowing the building of effective self-monitoring systems. In this perspective, in the frame of the FP7 project SEMEOTICONS, the most relevant face signs of cardio-metabolic risk are reviewed and analysed so as to drive their detection, quantification and integration into a virtual individual model useful for cardio-metabolic risk prevention.
Geometric Langlands duality and representations of algebraic groups over commutative rings

As such, it can be viewed as a first step in the geometric Langlands program. The connected complex reductive groups have a combinatorial classification by their root data. In the root datum the roots and the co-roots appear in a symmetric manner and so the connected reductive algebraic groups come in pairs. If G is a reductive group, we write G for its companion and call it the dual group G. The notion of the dual group itself does not appear in Satake's paper, but was introduced by Langlands, together with its various elaborations, in [LI], [L2] and is a cornerstone of the Langlands program. It also appeared later in physics [MO], [GNO]. In this paper we discuss the basic relationship between G and G. We begin with a reductive G and consider the affine Grassmannian Qx, the Grassmannian for the loop group of G. For technical reasons we work with formal algebraic loops. The affine Grassmannian is an infinite dimen sional complex space. We consider a certain category of sheaves, the spherical perverse sheaves, on ? r. These sheaves can be multiplied using a convolution product and this leads to a rather explicit construction of a Hopf algebra, by what has come to be known as Tannakian formalism. The resulting Hopf algebra turns out to be the ring of functions on G. In this interpretation, the spherical perverse sheaves on the affine Grassman nian correspond to finite dimensional complex representations of G. Thus, instead of defining G in terms of the classification of reductive groups, we pro vide a canonical construction of G, starting from G. We can carry out our construction over the integers. The spherical perverse sheaves are then those with integral coefficients, but the Grassmannian remains a complex algebraic object.
Mapping Orientation Distribution Function with Spherical Encoding

C. Lin, W. I. Tseng, L. Kuo, V. J. Wedeen, J. Chen Interdisciplinary MRI/MRS Lab at Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, Center for Optoelectronic Biomedicine, National Taiwan University College of Medicine, Taipei, Taiwan, MGH Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, United States Synopsis DSI reflects the distribution of fiber orientations by mapping of 3D probability density function and its spherical projection of proton diffusion by q-space diffusion MRI. However, DSI scanning currently requires 515 diffusion-encoding directions, it is very time consuming. Here we developed a spherical encoding method to obtain the spherical projection directly. We found that the salient orientation of fibers can be extracted from summation of the product of diffusion echo signal and an angle function. This method saves at least 50% of scanning time than that needed in DSI and has an accuracy of –1.33±6.79 in defining crossing fibers. Introduction Multi-fiber orientations within a voxel have been acquired by high angular resolution diffusion weighted imaging (HARD) [1,2] and diffusion spectrum imaging (DSI) [3]. HARD is a method to get the fiber orientation distribution under the assumption that the distribution is the superposition of multiple tensors. The method is still based on the Gaussian tensor model. DSI bypasses the Gaussian assumption and obtains the distribution of fiber orientations by directly obtaining the mapping of 3D probability density function (PDF) and its spherical projection of proton diffusion, i.e. orientation distribution function (ODF), with q space diffusion MRI. Here we developed a spherical encoding method to obtain the ODF directly without the Gaussian assumption. This method also alleviates the difficulty of DSI data acquisition, which is time consuming and requires stringent gradient performance. We used the same high angular spherical encoding as that in HARD but calculated ODF by spherical Fourier transform. We found that the salient orientation of fibers can be extracted from the summation of the product of echo signal and an angle function. Our results show that only half of the scanning time is needed in our proposed method compared with that in DSI and an accuracy of –1.33 ± 6.79 was achieved when defining fibers at 90-crossing in our phantom. Materials and Methods A phantom model was designed to simulate intersecting fibers. It comprises sheets of parallel plastic capillaries with inner and outer diameters of 50 μm and 350 μm, respectively. The capillaries were filled with water and sheets of two different orientations were stacked on each other in an interleaved fashion [4]. Images were acquired using stimulated echo diffusion sequence with 253 diffusion-encoding directions in a 5 fold-tessellated icosahedral sphere in the q space [1]. The in-plane resolution is 0.7 mm and the thickness is 4 mm. Diffusion gradient has intensity = 85 mTm, duration = 5 ms, diffusion time = 250 ms, yielding diffusion sensitivity = 3211 s mm.
Contemporary Processors Are Leaky -- and There's Nothing You Can Do About It

We measure capacities of known and suspected microarchitectural timing channels across the two mainstream processor architectures, x86 and ARM, and along several generations of Intel and ARM processor implementations, with release dates ranging from 2007 to 2015. We then apply all flushing mechanisms provided by the architectures in an attempt to close those channels, irrespective of cost. We find that in all processors we studied, at least one significant channel remains: the one exploited by an I-cache attack (although the underlying mechanisms are likely more complex than just the I-cache). In short, closing all timing channels seems impossible on contemporary main-stream processors.
Self-Efficacy for Science Teaching Scale Development: Construct Validation with Elementary School Teachers

The measurement of teacher self-efficacy has a history of more than 30 years. The purpose of this research is to evaluate the development and validation of a new scale to measure the science teaching self-efficacy of elementary school teachers. Therefore, a scale has been created to measure elementary teachers’ science teaching self-efficacy and the evidence for validity of the scale is presented in this study. Data collection for this study occurred during 2014-2015 academic year. Measurement tool applied to 135 science teachers in elementary school. All of these participants completed the Self-Efficacy for Science Teaching Scale (SSTS) in January 2015 and again in June 2015. “The Self-Efficacy for Science Teaching Scale (SSTS)” was developed and has undergone revisions to the original version through processes defined in this study. The SSTS is comprised of three parts: “Science Teaching Self-Efficacy (STSE), Efficacy for Understanding Science Content (EUSC) and Efficacy for Teaching Science Content (ETSC)”. Reliability for each part of the SSTS was found to be acceptable for both versions of the scale. Evidence of reliability and validity were collected to determine if the SSTS is an adequate scale to measure science teaching self-efficacy of teachers. Findings indicate that reliability and validity of the scale is adequate. Finally, theoretical implications for elementary school teachers’ science teaching self-efficacy are discussed.
Golgi-Resident GTPase Rab30 Promotes the Biogenesis of Pathogen-Containing Autophagosomes

Autophagy acts as a host-defense system against pathogenic microorganisms such as Group A Streptococcus (GAS). Autophagy is a membrane-mediated degradation system that is regulated by intracellular membrane trafficking regulators, including small GTPase Rab proteins. Here, we identified Rab30 as a novel regulator of GAS-containing autophagosome-like vacuoles (GcAVs). We found that Rab30, a Golgi-resident Rab, was recruited to GcAVs in response to autophagy induction by GAS infection in epithelial cells. Rab30 recruitment was dependent upon its GTPase activity. In addition, the knockdown of Rab30 expression significantly reduced GcAV formation efficiency and impaired intracellular GAS degradation. Rab30 normally functions to maintain the structural integrity of the Golgi complex, but GcAV formation occurred even when the Golgi apparatus was disrupted. Although Rab30 also colocalized with a starvation-induced autophagosome, Rab30 was not required for autophagosome formation during starvation. These results suggest that Rab30 mediates autophagy against GAS independently of its normal cellular role in the structural maintenance of the Golgi apparatus, and autophagosome biogenesis during bacterial infection involves specific Rab GTPases.
A cluster-voting approach for speaker diarization and linking of Australian broadcast news recordings

We present a clustering-only approach to the problem of speaker diarization to eliminate the need for the commonly employed and computationally expensive Viterbi segmentation and realignment stage. We use multiple linear segmentations of a recording and carry out complete-linkage clustering within each segmentation scenario to obtain a set of clustering decisions for each case. We then collect all clustering decisions, across all cases, to compute a pairwise vote between the segments and conduct complete-linkage clustering to cluster them at a resolution equal to the minimum segment length used in the linear segmentations. We use our proposed cluster-voting approach to carry out speaker diarization and linking across the SAIVT-BNEWS corpus of Australian broadcast news data. We compare our technique to an equivalent baseline system with Viterbi realignment and show that our approach can outperform the baseline technique with respect to the diarization error rate (DER) and attribution error rate (AER).
The Primacy Effect Impact of Information’s Order on Investors’ Perception

The annual report is the way to communicate about the business position to the stakeholders. The annual reports provide meaningful information regarding historical performance and prospective future opportunities. The president’s letter or director's report is a report submitted by the directors of a company to its shareholders, appraising them of the performance of the company under its direction. It is an exercise of self-evaluation. The letter mainly summaries company’s performance and the financial results, discusses company's plans for expansion, diversification or modernization, tells about appropriation of profits, and elaborates company's future prospects and plans for investments. Apart from mandatory disclosure for annual reports to shareholders, it is used as marketing tools which is used to focus the firm’s mission, objectives, strategies, and financial performance. The content of the letter is very important because it catch the attention of the readers like shareholders, investors, analysts, suppliers, government, banks, financial institutions etc. That is why it is very important to take care about the information, positive or negative, convey in presidents’ letter. This paper tried to examine the impact of ordering (Primacy and Recency effect) of the positive and negative information in the president’s letter on readers’ perception. The study concludes that the Primacy Effect can be observed due to change in information’s order.
Atmospheric waves as scaling, turbulent phenomena

Abstract. It is paradoxical that, while atmospheric dynamics are highly nonlinear and turbulent, atmospheric waves are commonly modelled by linear or weakly nonlinear theories. We postulate that the laws governing atmospheric waves are in fact high-Reynolds-number (Re), emergent laws so that – in common with the emergent high-Re turbulent laws – they are also constrained by scaling symmetries. We propose an effective turbulence–wave propagator which corresponds to a fractional and anisotropic extension of the classical wave equation propagator, with dispersion relations similar to those of inertial gravity waves (and Kelvin waves) yet with an anomalous (fractional) order Hwav/2. Using geostationary IR radiances, we estimate the parameters, finding that Hwav a 0.17 ± 0.04 (the classical value = 2).
Financial Deepening, Trade Openness and Growth:a Multivariate Cointegrated Analysis of the Complementary Effects

A two-way causal relationship between growth and financial development is captured in a number of recent theoretical and empirical works. The basic idea is that the development of financial intermediaries allows the allocation of savings into productive investment opportunities with higher growth-generating potentials. In the same time wealthier economies can afford the costs associated to more sophisticated financial systems. As for the relationship between trade and growth, the effects of trade liberalisation on development seem to depend on the hypothesis about the particular engine of growth at work. In this paper, differently from the bulk of the existing literature, we take the view that financial markets and international good markets are interdependent and an isolated analysis of each market in its effects on growth would impede a clear identifications of the links between trade openness, financial deepening and economic growth. Our starting hypothesis is that potential gains to growth of trade liberalisation depend on the degree to which financial markets and international trade in goods act as complements. In order to verify empirically such hypothesis, in this paper the relationship between financial development, trade openness and economic growth is examined in a vector autoregressive (VAR) framework using two sample countries (Italy and Spain). By estimating and identifying the cointegrating vectors in those two countries, we ascertained the existence of a complementary relationship between financial development and trade openness. Furthermore, by the identification of a structural VAR and the analysis of the Impulse Response Functions, we were able to detect the complementary relation not only in the long period but also in the short-run.In effect, when a positive exogenous shock is given to trade openness, the financial system receives an impulse to grow as well. This means that trade liberalisation not only may encourage growth directly but also could have an “indirect“ effect by fostering financial development with a growth effect of its own. This is an important finding since the knowledge of the links between different markets helps to reach a more correct assessment of the gains from liberalisation programs such as the one undertaken by the European Community.
THE LONG-TERM IMPACT OF MILITARY SERVICE ON HEALTH: EVIDENCE FROM WORLD WAR II VETERANS

Some war costs are paid immediately in the form of human injury and casualties, lost productivity and direct military expenditures, while others are paid decades later in the form of higher disability rates, lower labor productivity and ultimately higher rates of premature death among veterans. Although standard military accounting excludes the latter expenses, we document the enormous understatement of costs implied by their omission. In particular, we use instrumental variables and inter-cohort analysis to estimate the causal effect of WWII military service on long-term disability and premature death for veterans. We find that military service caused a 5 percentage point increase in work-limiting disabilities for men between the ages of 40 and 60 and raised the premature death rate by 6 percentage points between the ages of 45 and 72. Finally, we provide evidence to show that pro-tobacco military policy during WWII plays an important role in explaining the long-term negative health consequences paid by veterans.
Face Recognition Based on Wavelet Transform and Image Principle Component Analysis

Image principle component analysis (IMPCA) is a rapid direct feature extract approach from matrix. We present the basic theory of IMPCA from the view of minimizing the mean reconstruction error. We analyze the feature generated from IMPCA and find they present row characters. Wavelet transform can be used in reducing noise of images and the wavelet image should be more suitable for recognition. Our proposed method firstly transforms face image with wavelet and gets coefficients of different frequency, then horizontal detail coefficient is enhanced. The image generated by wavelet inverse transform is as new object and is recognized using IMPCA. The experiment result on ORL face database presents the proposed method is efficient and the recognition accuracy rate is better than IMPCA only.