Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Vertical Bring more Satisfaction?: Predicting Search Satisfaction in a Heterogeneous Environment

The study of search satisfaction is one of the prime concerns in search performance evaluation research. Most existing works on search satisfaction primarily rely on the hypothesis that all results on search engine result pages (SERPs) are homogeneous. However, a variety of heterogeneous vertical results such as videos, images and instant answers are aggregated into SERPs by search engines to improve the diversity and quality of search results. In this paper, we carry out a lab-based user study with specifically designed SERPs to determine how verticals with different qualities and presentation styles affect search satisfaction. Users' satisfaction feedback and external assessors' satisfaction annotations are both collected to make a comparison regarding the perception of search satisfaction. Mouse click-through / movement data and eye movement information are also collected such that we can investigate the influence of vertical results from the perspectives of both benefit and cost. Finally, a vertical-aware learning-based prediction method is proposed to predict search satisfaction on aggregated SERPs. To the best of our knowledge, this paper is the first to analyze the effect of verticals on search satisfaction. The results show that verticals with different qualities, presentation styles and positions have different effects on search satisfaction, among which Encyclopedia verticals, as well as Download verticals, will bring the largest improvement. Furthermore, our proposed vertical-aware prediction method outperforms state-of-the-art methods that are designed for search satisfaction prediction in homogeneous environment.
Secure Distributed Data Mining

Security is the important paradigmin data rule mining projects. This project addresses the problem of secure distributed association rule mining over the horizontally distributed database. Through mining, interesting relations and patterns between variables of large database can be observed securely using cryptographic techniques and the mining algorithms. Round robin technique is used for Horizontal distribution of Data sets to reduce the data skew. Security concerns may prevent the sites from direct sharing of data and some type of information about the data. The paper introduces cryptographic techniques to provide security in order to minimize the information shared in mining.
Stress relaxation behavior of starch powder-epoxy resin composites

The purpose of the present study is to investigate the quasi-static and the viscoelastic behavior of epoxy resin reinforced with starch powder. An increase in the elastic modulus on the order of 42% was achieved; a behavior that was predicted by the modulus prediction model (MPM). Next, the composite was subjected to flexural relaxation experiments, in order to determine the relaxation modulus, at different filler-weight fractions and flexural deflections imposed. The viscoelastic models of the standard linear solid, the power law model and the residual property model (RPM) were applied in order to simulate/predict the stress relaxation curves. Predicted values derived from the application of the above models were compared to each-other as well as to respective experimental findings. From the above comparison it was proved the superiority of the RPM model in predicting both the linear and the nonlinear viscoelastic response of the materials investigated. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015, 132, 41697.
Distill-ery : Iterative Topic Modeling to Improve the Content Analysis Process

Dimensionality reduction techniques such as Latent Dirichlet Allocation (LDA) provide extremely useful ways of making better sense of large, unstructured text data corpora quickly and efficiently. However, beyond small circles typically comprising computer science and statistics experts topic modeling has failed to become a commonplace technique incorporated into mainstream data analysis processes. In this paper, we present Distill-ery, a visual topic model editor and an iterative LDA workflow that not only simplifies the consumption of the output of LDA, but also provides an easy mechanism to incorporate human-in-the-loop intuition into the resultant topics used to improve the quality of the model. We then use this tool to conduct two case studies in order to demonstrate the improved efficiencies of the approach and tool: one within a government agency known for its rigor of data analysis processes, the other within the domain of political science research. We discuss our approach in the context of other visual and iterative methods for developing and using topic models.
Visual Text Analytics for Asynchronous Online Conversations

In the last decade, there has been an exponential growth of online conversations thanks to the rise of social media. Analyzing and gaining insights from such conversations can be quite challenging for a user, especially when the discussions become very long. During my doctoral research, I aim to investigate how to integrate Information Visualization with Natural Language Processing techniques to better support the user's task of exploring and analyzing conversations. For this purpose, I consider the following approaches: apply design study methodology in InfoVis to uncover data and task abstractions; apply NLP methods for extracting the identified data to support those tasks; and incorporate human feedback in the text analysis process when the extracted data is noisy and/or may not match the user's mental model, and current tasks. Through a set of design studies, I aim to evaluate the effectiveness of our approaches.
Powder processed aluminium alloys

The increasing interest in light weight materials coupled to the need for cost-effective processing have combined to create a significant opportunity for aluminium powder metallurgy. Net shape processing of aluminium by the classical press-and-sinter powder metallurgy technique using elemental powder blends is a unique and important metalforming method which is cost effective in producing complex parts very close to final dimensions. Here we describe alloy developments for press and sinter material. This includes the design of alloys based on the characteristics of ideal liquid phase sintering systems, the optimisation of the concentration of the major alloying elements, the use of microalloying additions and the development of metal matrix composites.
Genome-Wide Analysis of Arabidopsis Pentatricopeptide Repeat Proteins Reveals Their Essential Role in Organelle Biogenesis

The complete sequence of the Arabidopsis thaliana genome revealed thousands of previously unsuspected genes, many of which cannot be ascribed even putative functions. One of the largest and most enigmatic gene families discovered in this way is characterized by tandem arrays of pentatricopeptide repeats (PPRs). We describe a detailed bioinformatic analysis of 441 members of the Arabidopsis PPR family plus genomic and genetic data on the expression (microarray data), localization (green fluorescent protein and red fluorescent protein fusions), and general function (insertion mutants and RNA binding assays) of many family members. The basic picture that arises from these studies is that PPR proteins play constitutive, often essential roles in mitochondria and chloroplasts, probably via binding to organellar transcripts. These results confirm, but massively extend, the very sparse observations previously obtained from detailed characterization of individual mutants in other organisms.
Polonium: Tera-Scale Graph Mining and Inference for Malware Detection

We present Polonium, a novel Symantec technology that detects malware through large-scale graph inference. Based on the scalable Belief Propagation algorithm, Polonium infers every file’s reputation, flagging files with low reputation as malware. We evaluated Polonium with a billion-node graph constructed from the largest file submissions dataset ever published (60 terabytes). Polonium attained a high true positive rate of 87% in detecting malware; in the field, Polonium lifted the detection rate of existing methods by 10 absolute percentage points. We detail Polonium’s design and implementation features instrumental to its success. Polonium has served 120 million people and helped answer more than one trillion queries for file reputation.
Selective Depletion of Alloreactive T Cells Leads to Long-Term Islet Allograft Survival across a Major Histocompatibility Complex Mismatch in Diabetic Mice

Islet cell transplantation as a therapy for type 1 diabetes has been limited by progressive graft loss. Significant immunosuppression including T-cell ablation has been used in an attempt to limit islet rejection. Here, we show that CD3+ lymphocytes depleted of alloreactive T cells selected from a mixed lymphocyte reaction (MLR), where responder BALB/c splenocytes stained with carboxyfluorescein succinimidyl ester (CFSE) were stimulated with irradiated C57BL/6 splenocytes for 5 days, infused into diabetic immunodeficient mice are capable of restoring a broad T-cell repertoire and specifically do not reject islet transplants from the strain (C57BL/6) used in the original depletion. These mice demonstrate reconstitution with CD4+ and CD8+ T cells, the capacity to reject third-party grafts (CBA), and restoration of interferon-γ (IFN-γ) responses to third-party alloantigens. Over time, both forkhead box P3-positive (Foxp3+) T regulatory cells (Tregs) and γδ T cells expand, suggesting a role for peripheral tolerance, in addition to the initial depletion of alloreactive T cells, in long-term islet graft survival. Our results suggest that immune restoration with CD3+ lymphocytes where alloreactive T cells are removed can restore cognate immunity without islet allograft loss and recurrence of diabetes.
DISC 1 Regulates New Neuron Development in the Adult Brain via Modulation of AKT-mTOR Signaling through KIAA 1212

Ju Young Kim,1,2,5 Xin Duan,1,2,3,5 Cindy Y. Liu,1,2 Mi-Hyeon Jang,1,2 Junjie U. Guo,1,3 Nattapol Pow-anpongkul,1,2 Eunchai Kang,1,4 Hongjun Song,1,2,3,4 and Guo-li Ming1,2,3,* 1Institute for Cell Engineering 2Department of Neurology 3The Solomon H. Snyder Department of Neuroscience 4Pre-doctoral Training Program in Human Genetics Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA 5These authors contributed equally to this work *Correspondence: gming1@jhmi.edu DOI 10.1016/j.neuron. 2009.08. 008
Neural Network Application on Foliage Plant Identification

Several researches in leaf identification did not include color information as features. The main reason is caused by a fact that they used green colored leaves as samples. However, for foliage plants, plants with colorful leaves, fancy patterns in their leaves, and interesting plants with unique shape, color and also texture could not be neglected. For example, Epipremnum pinnatum 'Aureum' and Epipremnum pinnatum 'Marble Queen' have similar patterns, same shape, but different colors. Combination of shape, color, texture features, and other attribute contained on the leaf is very useful in leaf identification. In this research, Polar Fourier Transform and three kinds of geometric features were used to represent shape features, color moments that consist of mean, standard deviation, skewness were used to represent color features, texture features are extracted from GLCMs, and vein features were added to improve performance of the identification system. The identification system uses Probabilistic Neural Network (PNN) as a classifier. The result shows that the system gives average accuracy of 93.0833% for 60 kinds of foliage plants.
Speech & face based biometric authentication at IDIAP

We present an overview of research at IDIAP on speech & face based biometric authentication. This paper covers user-customised passwords, adaptation techniques, confidence measures (for use in fusion of audio & visual scores), face verification in difficult image conditions, as well as other related research issues. We also overviewed the open source Torch library, which has aided in the implementation of the above mentioned techniques.
The Chromosomal High-Affinity Binding Sites for the Drosophila Dosage Compensation Complex

Dosage compensation in male Drosophila relies on the X chromosome–specific recruitment of a chromatin-modifying machinery, the dosage compensation complex (DCC). The principles that assure selective targeting of the DCC are unknown. According to a prevalent model, X chromosome targeting is initiated by recruitment of the DCC core components, MSL1 and MSL2, to a limited number of so-called “high-affinity sites” (HAS). Only very few such sites are known at the DNA sequence level, which has precluded the definition of DCC targeting principles. Combining RNA interference against DCC subunits, limited crosslinking, and chromatin immunoprecipitation coupled to probing high-resolution DNA microarrays, we identified a set of 131 HAS for MSL1 and MSL2 and confirmed their properties by various means. The HAS sites are distributed all over the X chromosome and are functionally important, since the extent of dosage compensation of a given gene and its proximity to a HAS are positively correlated. The sites are mainly located on non-coding parts of genes and predominantly map to regions that are devoid of nucleosomes. In contrast, the bulk of DCC binding is in coding regions and is marked by histone H3K36 methylation. Within the HAS, repetitive DNA sequences mainly based on GA and CA dinucleotides are enriched. Interestingly, DCC subcomplexes bind a small number of autosomal locations with similar features.
A 1 . 5V Wideband , Noise-Cancelling LNA in 0 . 13 um CMOS

The first step to implement the software radio is to achieve a linear, wide-band low noise amplifier (LNA). A noise-cancelling wideband LNA in 0.13um CMOS technology is presented in this paper. The LNA consists of a common gate input stage with the broadband input matching network design, and a following common source auxiliary stage for the noise and distortion cancellation. The LNA can achieve a 600MHz-6GHz bandwidth, a nominal gain of 17dB, a minimum noise figure of 2.3dB, a maximum IIP3 of 4dBm using a 130nm RF CMOS process, and consumes 12mW from a 1.5-V supply.
Mortality Displacement of Heat-Related Deaths: A Comparison of Delhi, São Paulo, and London

Background: Mortality increases with hot weather, although the extent to which lives are shortened is rarely quantified. We compare the extent to which short-term mortality displacement can explain heat deaths in Delhi, São Paulo, and London given contrasting demographic and health profiles. Methods: We examined time-series of daily mortality data in relation to daily ambient temperature using Poisson models and adjusting for season, relative humidity, rainfall, particulate air pollution, day of the week, and public holidays. We used unconstrained distributed lag models to identify the extent to which heat-related excesses were followed by deficits (mortality displacement). Results: For each city, an increase in all-cause mortality was observed with same-day (lag 0) and previous day (lag 1) temperatures greater than a threshold of 20°C. At lag 0, the excess risk wasgreatest in Delhi and smallest in London. In Delhi, an excess was apparent up to 3 weeks after exposure, after which a deficit was observed that offset just part of the overall excess. In London, the heat excess persisted only 2 days and was followed by deficits, such that the sum of effects was 0 by day 11. The pattern in São Paulo was intermediate between these. The risk summed over the course of 28 days was 2.4% (95% confidence interval = 0.1 to 4.7%) per degree greater than the heat threshold in Delhi, 0.8% (−0.4 to 2.1%) in São Paulo and −1.6% (−3.4 to 0.3%) in London. Excess risks were sustained up to 4 weeks for respiratory deaths in São Paulo and London and for children in Delhi. Conclusions: Heat-related short-term mortality displacement was high in London but less in Delhi, where infectious and childhood mortality still predominate.
Correlated Electrical and Mechanical Responses of Isolated Rabbit Pial Arteries to Some Vasoactive Drugs

Simultaneous measurements were made of spike activity and perfusion pressure (PA) in intact segments of rabbit middle cerebral artery in vitro. The segments were mounted on a Teflon tube designed so that the perfusing solution flowed in the annular space between the tube and the artery wall, thus magnifying the PA changes occurring when the artery constricted or dilated. A widened portion of the Teflon tube immobilized 1-2 mm of the artery segment for electrical recording with fine glass microelectrodes. Spontaneous spike activity (extra- and intracellular) was regularly observed. When a steady PA and spike discharge was obtained, tests were performed by substituting for the normal perfusion liquid, solutions containing 5 μg/m norepinephrine, 5 μg/ml angiotensin II or 7.5 μg/ml isoproterenol. Norepinephrine and angiotensin each increased spike frequency (+ 293 and + 126%) and PA (−6.6 and −7.9 mm Hg) whereas isoproterenol decreased spike frequency (−89%) and PA (−22.9 mm Hg). These results a) confirm the presence of receptors to these agents in pial arteries, and b) demonstrate a high degree of correlation between membrane electrical events and mechanical activity of these spontaneously-active myovascular cells.
A novel one-bit quantization design for correlation-based low-power wideband sensing

We propose an ultra low power wideband spectrum sensing architecture by utilizing a one-bit quantization at the cognitive radio (CR) receiver. A window-based autocorrelation is utilized to provide the power spectral density of the quantized signal. Closed-form expressions are derived for the 1-bit quantized correlation. It is shown that the introduced method can still provide full information about the sparse spectrum even at low signal-to-noise ratios (SNR). An optimized detection algorithm is presented to sense whether an individual sub-band is occupied or vacant. The sensing performance is justified through computer simulations. When compared to other methods, in addition to the significant saving in power and complexity, results indicate that the proposed method provides better performance even though an aggressive quantization has been applied.
The Competitive Nature of Declarative and Nondeclarative Memory Systems: Converging Evidence from Animal and Human Brain Studies

Evidence from experimental animal studies as well as human neuroimaging studies has led researchers to agree that memory is not unitary in nature, but is actually subserved by multiple memory systems localized in different regions of the brain. Further research of the neurobiological basis of memory supports a clear distinction between the declarative (hippocampal dependent) and nondeclarative (striatal dependent) memory systems. Moreover, evidence indicates that the two memory systems may, in actuality, interact with one another during learning; however, the level at which this interaction occurs, either during acquisition or response, remains unknown. Investigation of the multiple memory systems and the mechanisms of interaction is not only important for what it reveals about the evolution and adaptive function of the brain, but for its clinical applications as well.
Temperature Maps for Frictional Heating in Dry Sliding

When contacting solids slide, work is done against friction. Almost all the frictional work appears as heat, generated at or very close to, the surface at which the two solids meet. The local increase in temperature influences both the friction and the rate of wear. In this paper, frictional heating is analyzed using a particularly simple framework. The analysis provides for a wide range of geometries for the two contacting solids, which may differ in their thermal and mechanical properties, and may not be in perfect contact with the heat-sinks to which they are attached. The results are presented as temperature maps which show the surface temperature of a sliding couple over a wide range of load and sliding velocity. Presented as a Society of Tribologists and Lubrication Engineers paper at the ASME/STLE Tribology Conference in Toronto, Ontario, Canada, October 8–10, 1990
Antipsychotics and Sexual Dysfunction :Sexual Dysfunction - Part III

Satisfying sexual experience is an essential part of a healthy and enjoyable life for most people. Antipsychotic drugs are among the various factors that affect optimal sexual functioning. Both conventional and novel antipsychotics are associated with significant sexual side effects. This review has presented various studies comparing different antipsychotic drugs. Dopamine antagonism, increased serum prolactin, serotonergic, adrenergic and cholinergic mechanisms are all proposed to be the mechanisms for sexual dysfunction. Drug treatment for this has not given satisfactory long-term results. Knowledge of the receptor pharmacology of an individual antipsychotic will help to determine whether it is more or less likely to cause sexual side effects and its management.
Retention Among North American HIV-Infected Persons in Clinical Care, 2000–2008

Background:Retention in care is key to improving HIV outcomes. The goal of this study was to describe "churn" in patterns of entry, exit, and retention in HIV care in the United States and Canada. Methods:Adults contributing ≥1 CD4 count or HIV-1 RNA (HIV-lab) from 2000 to 2008 in North American AIDS Cohort Collaboration on Research and Design clinical cohorts were included. Incomplete retention was defined as lack of 2 HIV-laboratories (≥90 days apart) within 12 months, summarized by calendar year. Beta-binomial regression models were used to estimate adjusted odds ratios (OR) and 95% confidence intervals (CI) of factors associated with incomplete retention. Results:Among 61,438 participants, 15,360 (25%) with incomplete retention significantly differed in univariate analyses (P < 0.001) from 46,078 (75%) consistently retained by age, race/ethnicity, HIV risk, CD4, antiretroviral therapy use, and country of care (United States vs. Canada). From 2000 to 2004, females (OR = 0.82, CI: 0.70 to 0.95), older individuals (OR = 0.78, CI: 0.74 to 0.83 per 10 years), and antiretroviral therapy users (OR = 0.61, CI: 0.54 to 0.68 vs. all others) were less likely to have incomplete retention, whereas black individuals (OR = 1.31, CI: 1.16 to 1.49, vs. white), those with injection drug use HIV risk (OR = 1.68, CI: 1.49 to 1.89, vs. noninjection drug use), and those in care longer (OR = 1.09, CI: 1.07 to 1.11 per year) were more likely to have incomplete retention. Results from 2005 to 2008 were similar. Discussion:From 2000 to 2008, 75% of the North American AIDS Cohort Collaboration on Research and Design population was consistently retained in care with 25% experiencing some changes in status or churn. In addition to the programmatic and policy implications, the findings of this study identify patient groups who may benefit from focused retention efforts.