Miracle-dz/UniFAR-FTUs huggingface dataset:
Friendly, Appealing or Both?: Characterising User Experience in Sponsored Search Landing Pages

Many of today's websites have recognised the importance of mobile friendly pages to keep users engaged and to provide a satisfying user experience. However, next to the experience provided by the sites themselves, advertisements, when clicked, present users with landing pages that are not necessarily mobile friendly. We explore what type of features are able to characterise the mobile friendliness of sponsored search ad landing pages. To have a complete understanding of the mobile ad experience in terms of layout and visual appearance, we also explore the notion of the ad page aesthetic appeal. We design and collect annotations for both dimensions on a large set of ads, and find that mobile friendliness and aesthetics represent different notions. We perform a comprehensive study of the effectiveness of over 120 features on the tasks of friendliness and aesthetics prediction. We find that next to general page size, HTML, and resource usage based features, several features based on the visual composition of landing pages are important to determine mobile friendliness and aesthetics. We demonstrate the additional benefit of these various types of features by comparing against the mobile friendliness guidelines provided by W3C. Finally, we use our models to determine the state of landing page mobile friendliness and aesthetics on a large sample of advertisements of a major internet company.
Time-Course Small RNA Profiling Reveals Rice miRNAs and Their Target Genes in Response to Rice Stripe Virus Infection

It has been known that many microRNAs (miRNAs) are involved in the regulation for the plant development and defense mechanism by regulating the expression of the target gene. Several previous studies has demonstrated functional roles of miRNAs in antiviral defense mechanisms. In this study, we employed high-throughput sequencing technology to identify rice miRNAs upon rice stripe virus (RSV) infection at three different time points. Six libraries from mock and RSV-infected samples were subjected for small RNA sequencing. Bioinformatic analyses revealed 374 known miRNAs and 19 novel miRNAs. Expression of most identified miRNAs was not dramatically changed at 3 days post infection (dpi) and 7 dpi by RSV infection. However, many numbers of miRNAs were up-regulated in mock and RSV-infected samples at 15 dpi by RSV infection. Moreover, expression profiles of identified miRNAs revealed that only few numbers of miRNAs were strongly regulated by RSV infection. In addition, 15 resistance genes were targets of six miRNAs suggesting that those identified miRNAs and 15 NBS-LRR resistance genes might be involved in RSV infection. Taken together, our results provide novel insight into the dynamic expression profiles of rice miRNAs upon RSV infection and clues for the understanding of the regulatory roles of miRNAs via time-course.
Concordance for Survival Time Data: Fixed and Time-Dependent Covariates and Possible Ties in Predictor and Time

Concordance, or synonymously the C-statistic, is a valuable measure of model discrimination in analyses involving survival time data. Generally it is defined based upon baseline covariates and with only limited consideration of ties. Here we provide a definition of concordance in the case of survival data; we allow for time-dependent covariates with the counting process data representation and account for ties in the covariates and times. This definition reduces to standard definitions of concordance in the case of fixed covariates and in the absence of ties. This definition provides a general measure with similar intuition as earlier measures. It also allows not only for comparison between models with time-dependent covariates but also for comparison of discrimination between models with and without time-dependent covariates. Asymptotic standard errors and methods for obtaining approximate confidence intervals are also provided.
The effect of oil price shocks on typical industry of industry chain in China

The industries involved by oil not only are extensive but also have long industry chain, it is obvious that the oil price shocks could affect all aspects of our production and life through the industry-chains' transmission. Based on the nature of the shocks, we would decompose them into four different types, and analyze their transmission mechanisms and effects on some typical industries which in Chinese industry-chain. Through the study of the oil price shocks, we could conclude that the rise in international oil prices should not be attributed to the “China factor”. According to the researches about the influences on typical industries brought by these different shocks, we could find that: because of the various transformation or transference abilities of oil price on industry-chain, different industries in the chain would encounter different impacts.
Adult Intimate Relationships: Linkages Between Interpersonal Acceptance-Rejection Theory and Adult Attachment Theory

This paper focuses on the contributions of two lifespan-development theories to the study of adult intimate relationships. These are interpersonal acceptance-rejection theory (IPARTheory) and attachment theory. First, we focus on four major points of convergence and four points of divergence between theories in their understanding of intimate relationships in adulthood. Following this, we discuss each theory’s contributions to theoretical and empirical knowledge about adult intimate relationships, their modes of assessment, and the development of clinical interventions. Finally, we suggest possible future developments that could help to enrich both theories. Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. This article is available in Online Readings in Psychology and Culture: http://scholarworks.gvsu. edu/orpc/vol6/iss2/4
Identification of bacteria from blood in febrile patients with ulcerative colitis by terminal restriction fragment length polymorphism profile analysis of 16S rRNA gene

Objective. Recently, highly sensitive molecular-biological approaches using the 16S rRNA gene sequence have been carried out for the detection of bacteria. The aim of this study was to detect bacteremia in febrile patients with ulcerative colitis (UC) using a new molecular approach. Material and methods. Fifteen febrile patients with relapsing UC were enrolled, and 15 healthy volunteers participated as normal controls. Blood samples were analyzed for bacteremia using nested polymerase chain reaction (PCR) with universal primers (27F, 529F, 1492R). We investigated the bacterial DNA by means of terminal restriction fragment length polymorphism (T-RFLP) with five restriction enzymes (Alu I, Hha I, Hae III, Msp I, and Rsa I). A terminal restriction fragment (TRF) profile database was created with the predicted profiles of 63 common bacteria isolated from blood cultures, using computer simulation based on sequence information. TRF lengths were analyzed using the TRF profile database and a T-RFLP profiler. Results. The bacterial gene was detected in 9 out of 15 UC patients (60%) and 8 of out 15 controls (53%). The numbers of Hae III- and Rsa I-digested T-RFs and the average number of five restriction enzyme-digested T-RFs were significantly higher in UC patients than in controls (p=0.0189, 0.0151, 0.0092, respectively). In UC patients, the most prevalent species included the 7 common species in controls and 10 other species. Conclusions. In febrile UC patients with relapse, bacteremia undetected by culture was found at high frequency by the PCR method. Therefore, antibiotic treatment for UC can be approved on the basis of the finding of bacteremia in this study.
On minimizing the broadcast redundancy in duty-cycled wireless sensor networks

Broadcast is a fundamental activity in wireless sensor networks (WSNs) and many problems related to broadcast thus have been formulated and investigated in the literature. Among them, the minimum-transmission broadcast (MTB) problem, which aims to reduce the broadcast redundancy, has been well studied in conventional wireless ad hoc networks, where network nodes are assumed to be active all the time. In this paper, we study MTB problem in duty-cycled WSNs (MTB-DC problem) where sensor nodes operate under active/dormant cycles; then propose a novel scheme to solve it. The proposed Level-Based Approximation Scheme (LBAS) first identifies the minimum sets of forwarding nodes for all time slots. Then the broadcast backbone is constructed efficiently through a two-stage traversal which completely exploits duty transmission of forwarding nodes when connecting them to the broadcast source. We have also conducted extensive simulations to evaluate the performance of our proposed scheme. The results indicate that our scheme outperforms existing ones significantly.
Statistical Linkage Analysis of Substitutions in Patient-Derived Sequences of Genotype 1a Hepatitis C Virus Nonstructural Protein 3 Exposes Targets for Immunogen Design

ABSTRACT Chronic hepatitis C virus (HCV) infection is one of the leading causes of liver failure and liver cancer, affecting around 3% of the world's population. The extreme sequence variability of the virus resulting from error-prone replication has thwarted the discovery of a universal prophylactic vaccine. It is known that vigorous and multispecific cellular immune responses, involving both helper CD4+ and cytotoxic CD8+ T cells, are associated with the spontaneous clearance of acute HCV infection. Escape mutations in viral epitopes can, however, abrogate protective T-cell responses, leading to viral persistence and associated pathologies. Despite the propensity of the virus to mutate, there might still exist substitutions that incur a fitness cost. In this paper, we identify groups of coevolving residues within HCV nonstructural protein 3 (NS3) by analyzing diverse sequences of this protein using ideas from random matrix theory and associated methods. Our analyses indicate that one of these groups comprises a large percentage of residues for which HCV appears to resist multiple simultaneous substitutions. Targeting multiple residues in this group through vaccine-induced immune responses should either lead to viral recognition or elicit escape substitutions that compromise viral fitness. Our predictions are supported by published clinical data, which suggested that immune genotypes associated with spontaneous clearance of HCV preferentially recognized and targeted this vulnerable group of residues. Moreover, mapping the sites of this group onto the available protein structure provided insight into its functional significance. An epitope-based immunogen is proposed as an alternative to the NS3 epitopes in the peptide-based vaccine IC41. IMPORTANCE Despite much experimental work on HCV, a thorough statistical study of the HCV sequences for the purpose of immunogen design was missing in the literature. Such a study is vital to identify epistatic couplings among residues that can provide useful insights for designing a potent vaccine. In this work, ideas from random matrix theory were applied to characterize the statistics of substitutions within the diverse publicly available sequences of the genotype 1a HCV NS3 protein, leading to a group of sites for which HCV appears to resist simultaneous substitutions possibly due to deleterious effect on viral fitness. Our analysis leads to completely novel immunogen designs for HCV. In addition, the NS3 epitopes used in the recently proposed peptide-based vaccine IC41 were analyzed in the context of our framework. Our analysis predicts that alternative NS3 epitopes may be worth exploring as they might be more efficacious.
Pose Estimation of Polygonal Object in Monocular Vision using Parametric Equations of Vertices

In this paper we model the camera-polygon system with parametric equations to locate a polygonal object in space. This leads to a nonlinear optimization method under true perspective for monocular vision with a single image. The algorithm finds directly the 3D location in the camera coordinate system without estimating rotation and/or translation matrices. As for all object location algorithms, the method assumes that the size and shape of the polygonal object is known and that the camera is calibrated.
Test‐retest reliability estimation of functional MRI data

Functional magnetic resonance imaging (fMRI) data are commonly used to construct activation maps for the human brain. It is important to quantify the reliability of such maps. We have developed statistical models to provide precise estimates for reliability from several runs of the same paradigm over time. Specifically, our method extends the premise of maximum likelihood (ML) developed by Genovese et al. (Magn Reson Med 1997;38:497–507) by incorporating spatial context into the estimation process. Experiments indicate that our methodology provides more conservative estimates of true positives compared to those obtained by Genovese et al. The reliability estimates can be used to obtain voxel‐specific reliability measures for activated as well as inactivated regions in future experiments. We derive statistical methodology to determine optimal thresholds for region‐ and context‐specific activations. Empirical guidelines are also provided on the number of repeat scans to acquire in order to arrive at accurate reliability estimates. We report the results from experiments involving a motor paradigm performed on a single subject several times over a period of 2 months. Magn Reson Med 48:62–70, 2002. © 2002 Wiley‐Liss, Inc.
Triolet: a programming system that unifies algorithmic skeleton interfaces for high-performance cluster computing

Functional algorithmic skeletons promise a high-level programming interface for distributed-memory clusters that free developers from concerns of task decomposition, scheduling, and communication. Unfortunately, prior distributed functional skeleton frameworks do not deliver performance comparable to that achievable in a low-level distributed programming model such as C with MPI and OpenMP, even when used in concert with high-performance array libraries. There are several causes: they do not take advantage of shared memory on each cluster node; they impose a fixed partitioning strategy on input data; and they have limited ability to fuse loops involving skeletons that produce a variable number of outputs per input. We address these shortcomings in the Triolet programming language through a modular library design that separates concerns of parallelism, loop nesting, and data partitioning. We show how Triolet substantially improves the parallel performance of algorithms involving array traversals and nested, variable-size loops over what is achievable in Eden, a distributed variant of Haskell. We further demonstrate how Triolet can substantially simplify parallel programming relative to C with MPI and OpenMP while achieving 23--100% of its performance on a 128-core cluster.
6.6 A 1280×720 single-photon-detecting image sensor with 100dB dynamic range using a sensitivity-boosting technique

Continuous improvements in sensitivity have opened up applications for image sensors such as camcorders, digital still cameras, mobile phones, and surveillance cameras. Even though leading-edge image sensors have reached the noise floor of a few electrons [1,2], a thrust towards darker levels still continues down to an illumination level equivalent to being under a crescent moon (i.e., 10-2 down to 10-4 lux). This requires single-photon detection with typical digital cameras pixel size, i.e., 1.5 to 5μm. Although huge-size pixel [3] or single-photon avalanche photodiode (SPAD) based image sensors [4] have been presented for such a purpose, in general, both have to pay area and dark current penalties. Thus, an image sensor capable of both single-photon detection and normal imaging providing us with a high dynamic range is a huge technological challenge.
An Early Warning System for Suspicious Accounts

In the face of large-scale automated cyber-attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of new attacks and to mitigate the overall damage to users, companies, and the public at large. We advocate a fully automated approach based on machine learning to enable large-scale online service providers to quickly identify potentially compromised accounts. We develop an early warning system for the detection of suspicious account activity with the goal of quick identification and remediation of compromised accounts. We demonstrate the feasibility and applicability of our proposed system in a four month experiment at a large-scale online service provider using real-world production data encompassing hundreds of millions of users. We show that - even using only login data, features with low computational cost, and a basic model selection approach - around one out of five accounts later flagged as suspicious are correctly predicted a month in advance based on one week's worth of their login activity.
The Importance of Lifetime Jobs in the U.S. Economy

There is disclosed concomitant systemic administration of prostaglandins of the PGB-type, for example, PGB2, and a prostaglandin synthetase inhibitor, for example, indomethacin, aspirin, or phenylbutazone, to mammals, including humans. Thereby the undesirable gastrointestinal effects of the synthetase inhibitor are reduced.
PPARγ‐regulated tight junction development during human urothelial cytodifferentiation

Urothelial barrier function is maintained by apical membrane plaques and intercellular tight junctions (TJ). Little is known about the composition and regulation of TJ expression in human urothelium. In this study, we have characterised the expression of TJ components in situ and their regulation in an in vitro model of differentiating normal human urothelial (NHU) cells. In normal ureteric urothelium in situ, there was a differentiation‐associated profile of claudins 3, 4, 5, 7, ZO1 and occludin proteins. Proliferating NHU cells in vitro expressed predominantly claudin 1 protein and transcripts for claudins 1–5 and 7. Following induction of differentiation by pharmacological activation of PPARγ and blockade of EGFR, there was de novo expression of claudin 3 mRNA and protein and downregulation of claudin 2 transcription. There was also a massive increase in expression of claudin 4 and 5 proteins which was due to inhibition of proteasomal degradation of claudin 4 and consequential stabilisation of the claudin 5 heterodimerisation partner. NHU cell differentiation was accompanied by relocalisation of TJ proteins to intercellular junctions. The differentiation‐associated development of TJ formation in vitro reflected the stage‐related TJ expression seen in situ. This was distinct from changes in TJ composition of NHU cells mediated by increasing the calcium concentration of the medium. Our results imply a role for PPARγ and EGFR signalling pathways in regulating TJ formation in NHU cells and support the hypothesis that TJ development is an integral part of the urothelial differentiation programme. J. Cell. Physiol. 208: 407–417, 2006. © 2006 Wiley‐Liss, Inc.
Variation among Plasmodium falciparum Strains in Their Reliance on Mitochondrial Electron Transport Chain Function

ABSTRACT Previous studies demonstrated that Plasmodium falciparum strain D10 became highly resistant to the mitochondrial electron transport chain (mtETC) inhibitor atovaquone when the mtETC was decoupled from the pyrimidine biosynthesis pathway by expressing the fumarate-dependent (ubiquinone-independent) yeast dihydroorotate dehydrogenase (yDHODH) in parasites. To investigate the requirement for decoupled mtETC activity in P. falciparum with different genetic backgrounds, we integrated a single copy of the yDHODH gene into the genomes of D10attB, 3D7attB, Dd2attB, and HB3attB strains of the parasite. The yDHODH gene was equally expressed in all of the transgenic lines. All four yDHODH transgenic lines showed strong resistance to atovaquone in standard short-term growth inhibition assays. During longer term growth with atovaquone, D10attB-yDHODH and 3D7attB-yDHODH parasites remained fully resistant, but Dd2attB-yDHODH and HB3attB-yDHODH parasites lost their tolerance to the drug after 3 to 4 days of exposure. No differences were found, however, in growth responses among all of these strains to the Plasmodium-specific DHODH inhibitor DSM1 in either short- or long-term exposures. Thus, DSM1 works well as a selective agent in all parasite lines transfected with the yDHODH gene, whereas atovaquone works for some lines. We found that the ubiquinone analog decylubiquinone substantially reversed the atovaquone inhibition of Dd2attB-yDHODH and HB3attB-yDHODH transgenic parasites during extended growth. Thus, we conclude that there are strain-specific differences in the requirement for mtETC activity among P. falciparum strains, suggesting that, in erythrocytic stages of the parasite, ubiquinone-dependent dehydrogenase activities other than those of DHODH are dispensable in some strains but are essential in others.
Complex urban dataset with multi-level sensors from highly diverse urban environments

The high diversity of urban environments, at both the inter and intra levels, poses challenges for robotics research. Such challenges include discrepancies in urban features between cities and the deterioration of sensor measurements within a city. With such diversity in consideration, this paper aims to provide Light Detection and Ranging (LiDAR) and image data acquired in complex urban environments. In contrast to existing datasets, the presented dataset encapsulates various complex urban features and addresses the major issues of complex urban areas, such as unreliable and sporadic Global Positioning System (GPS) data, multi-lane roads, complex building structures, and the abundance of highly dynamic objects. This paper provides two types of LiDAR sensor data (2D and 3D) as well as navigation sensor data with commercial-level accuracy and high-level accuracy. In addition, two levels of sensor data are provided for the purpose of assisting in the complete validation of algorithms using consumer-grade sensors. A forward-facing stereo camera was utilized to capture visual images of the environment and the position information of the vehicle that was estimated through simultaneous localization mapping (SLAM) are offered as a baseline. This paper presents 3D map data generated by the SLAM algorithm in the LASer (LAS) format for a wide array of research purposes, and a file player and a data viewer have been made available via the Github webpage to allow researchers to conveniently utilize the data in a Robot Operating System (ROS) environment. The provided file player is capable of sequentially publishing large quantities of data, similar to the rosbag player. The dataset in its entirety can be found at http://irap.kaist. ac.kr/dataset.