Miracle-dz/UniFAR-FTUs huggingface dataset:
Muugle: A music retrieval experimentation framework

Recently many music information retrieval (MIR) methods have been developed; most of these employ a music representation and have a notion of musical similarity. However, there is still no user-centered framework that allows the comparison of their different MIR techniques. This paper describes Muugle (Musical Utrecht University Global Lookup Engine), which is such a framework. Currently it has four interfaces for query formulation and a piano-roll editor for query modification. These interfaces and the editor are the subject of a usability study described in this paper. Feature-extraction and matching algorithms are implemented as components which can be selected by the user after query formulation. The features of the query are compared with those of the music stored in the Muugle database. As a first instantiation the database was filled with two music collections, namely 815 ringtones, and 476.621 incipits of the RISM collection. Muugle employs the vantage indexing method to enable fast retrieval re
Identification of Genes Implicated in Methapyrilene-Induced Hepatotoxicity by Comparing Differential Gene Expression in Target and Nontarget Tissue

Background Toxicogenomics experiments often reveal thousands of transcript alterations that are related to multiple processes, making it difficult to identify key gene changes that are related to the toxicity of interest. Objectives The objective of this study was to compare gene expression changes in a nontarget tissue to the target tissue for toxicity to help identify toxicity-related genes. Methods Male rats were given the hepatotoxicant methapyrilene at two dose levels, with livers and kidneys removed 24 hr after one, three, and seven doses for gene expression analysis. To identify gene changes likely to be related to toxicity, we analyzed genes on the basis of their temporal pattern of change using a program developed at the National Institute of Environmental Health Sciences, termed “EPIG” (extracting gene expression patterns and identifying co-expressed genes). Results High-dose methapyrilene elicited hepatic damage that increased in severity with the number of doses, whereas no treatment-related lesions were observed in the kidney. High-dose methapyrilene elicited thousands of gene changes in the liver at each time point, whereas many fewer gene changes were observed in the kidney. EPIG analysis identified patterns of gene expression correlated to the observed toxicity, including genes associated with endoplasmic reticulum stress and the unfolded protein response. Conclusions By factoring in dose level, number of doses, and tissue into the analysis of gene expression elicited by methapyrilene, we were able to identify genes likely to not be implicated in toxicity, thereby allowing us to focus on a subset of genes to identify toxicity-related processes.
Distilling and exploring nuggets from a corpus

This paper describes a live and scalable system that automatically extracts information nuggets for entities/topics from a continuously updated corpus for effective exploration and analysis. A nugget is a piece of semantic information that (1) must be mapped semantically to the transitive closure of a pre-defined ontology, (2) is explicitly supported by text, and (3) has a natural language description that completely conveys its semantic to a user. Fig. 1 shows a type of nugget "involvement in events" for a person entity (Leon Panetta): each nugget has a short description ("meeting", "news conference") with a list of supporting passages. Our key contributions are (1) We extract nuggets and remove redundancy to produce a summary of salient information with supporting clusters of passages. (2) We present an entity/topic centric exploration interface that also allows users to navigate to other entities involved in a nugget. (3) We use the statistical NLP technologies developed over the years in the ACE ,GALE and TAC-KBP programs, including parsing, mention detection, within and cross document coreference resolution, relation detection and slot filler extraction. (4) Our system is flexible and easily adaptable across domains as demonstrated on two corpora: generic news and scientific papers. Search engines such as Google News and Scholar do not retrieve nuggets, and only remove redundancy at document level. News aggregation applications such as Evri categorize news articles based on the entities of topics but do not extract nuggets. Other systems extract richer information, but not all of it has clear semantics; e.g., Silobreaker presents results as "the relationship between X and Y in the context of [keyphrase]", leaving users with the task of interpreting the semantics as it is not tied to a clear ontology. In contrast we remove redundancy, summarize results and present nuggets that have clear semantics.
In vivo analysis of formation and endocytosis of the Wnt/β-Catenin signaling complex in zebrafish embryos

ABSTRACT After activation by Wnt/&bgr;-Catenin ligands, a multi-protein complex assembles at the clustering membrane-bound receptors and intracellular signal transducers into the so-called Lrp6-signalosome. However, the mechanism of signalosome formation and dissolution is yet not clear. Our imaging studies of live zebrafish embryos show that the signalosome is a highly dynamic structure. It is continuously assembled by Dvl2-mediated recruitment of the transducer complex to the activated receptors and partially disassembled by endocytosis. We find that, after internalization, the ligand-receptor complex and the transducer complex take separate routes. The Wnt–Fz–Lrp6 complex follows a Rab-positive endocytic path. However, when still bound to the transducer complex, Dvl2 forms intracellular aggregates. We show that this endocytic process is not only essential for ligand-receptor internalization but also for signaling. The &mgr;2-subunit of the endocytic Clathrin adaptor Ap2 interacts with Dvl2 to maintain its stability during endocytosis. Blockage of Ap2&mgr;2 function leads to Dvl2 degradation, inhibiton of signalosome formation at the plasma membrane and, consequently, reduction of signaling. We conclude that Ap2&mgr;2-mediated endocytosis is important to maintain Wnt/&bgr;-catenin signaling in vertebrates.
Survival of Adult Female Elk in Yellowstone Following Wolf Restoration

Abstract Counts of northern Yellowstone elk (Cervus elaphus) in northwestern Wyoming and adjacent Montana, USA, have decreased at an average rate of 6–8% per year since wolves (Canis lupus) were reintroduced in 1995. Population growth rates of elk are typically sensitive to variations in adult female survival; populations that are stable or increasing exhibit high adult female survival. We used survival records for 85 radiocollared adult female elk 1–19 years old to estimate annual survival from March 2000 to February 2004. Weighted average annual survival rates were approximately 0.83 (95% CI = 0.77–0.89) for females 1–15 years old and 0.80 (95% CI = 0.73–0.86) for all females. Our estimates were much lower than the rate of 0.99 observed during 1969–1975 when fewer elk were harvested by hunters, wolves were not present, and other predators were less numerous. Of 33 documented deaths included in our analysis, we attributed 11 to hunter harvest, 14 to predation (10 wolf, 2 unknown, 1 cougar [Puma concolor], and 1 bear [Ursus sp.]), 6 to unknown causes, and 2 to winter-kill. Most deaths occurred from December through March. Estimates of cause-specific annual mortality rates were 0.09 (0.05–0.14) for all predators, 0.08 (0.04–0.13) for hunting, and 0.07 (0.03–0.11) for wolves specifically. Wolf-killed elk were typically older (median = 12 yr) than hunter-killed elk (median = 9 yr, P = 0.03). However, elk that winter outside the park where they were exposed to hunting were also younger (median = 7 yr) than elk that we did not observe outside the park (median = 9 yr, P < 0.01). Consequently, differences in ages of elk killed by wolves and hunters may reflect characteristics of elk exposed to various causes of mortality, as well as differences in susceptibility. Unless survival rates of adult females increase, elk numbers are likely to continue declining. Hunter harvest is the only cause of mortality that is amenable to management at the present time.
ACCURACY DRIVEN ARTIFICIAL NEURAL NETWORKS IN STOCK MARKET PREDICTION

Globalization has made the stock market prediction (SMP) accuracy more challenging and rewarding for the researchers and other participants in the stock market. Local and global economic situations along with the company’s financial strength and prospects have to be taken into account to improve the prediction accuracy. Artificial Neural Networks (ANN) has been identified to be one of the dominant data mining techniques in stock market prediction area. In this paper, we survey different ANN models that have been experimented in SMP with the special enhancement techniques used with them to improve the accuracy. Also, we explore the possible research strategies in this accuracy driven ANN models.
Controlling Information Flows during Software Development

Information flow control (IFC) is useful in preventing information leakage during software execution. Our survey reveals that no IFC model is applied on the entire software development process. Applying an IFC model on the entire software development process offers the following features: (1) viewpoints of all stakeholders (i.e., customers and analysts) can be included and (2) the IFC model helps correcting statements that may leak information during every development phase. In addition that no IFC model is applied to the entire software development process, we failed to identify an IFC model that can reduce runtime overhead. According to the above description, we designed a new IFC model named PrcIFC (process IFC). PrcIFC is applied on the entire software development process. Moreover, PrcIFC is disabled after software testing to reduce runtime overhead.
Poly-Silicon gate pre-doping implantation impact on MOSFET matching performances

This paper demonstrates how poly-Silicon gate pre-doping implantation impacts MOS matching performances. Measurements are performed on test structures (MOS pairs / capacitors) and analog circuits, using five different processes with pre-doping implantation energy variation (from 35 to 10 KeV) and tilt variation (7° and 25°). TCAD simulations validate a channel counter-doping due to high pre-doping implantation energy causing mismatch degradation.
Public Unstructured Socializing and the Code of the Street: Predicting Violent Delinquency and Victimization

ABSTRACT Using longitudinal survey and space–time budget data from adolescents in the Netherlands, this study examines whether the code of the street affects violent delinquency and victimization, and whether these effects vary by lifestyle. Values similar to the code (i.e., conflict positioning) were related to higher risk for violent delinquency; this relationship was stronger when involvement in public unstructured socializing was high. No relationship was found between these values and victimization. The findings suggest a nuanced relationship between the code of the street and violent delinquency and speak to the code of the street theory’s applicability outside the United States.
A scalable multiphase buck converter with average current share bus

The paper presents a scalable multiphase synchronous buck converter which meets the tight requirements of the next generation microprocessors. Flexibility in the number of phases (1-16 phases) accommodates requirements of various applications. The converter can be easily expanded or paralleled with other voltage regulator modules (VRM) through an average current share bus. The distributed control IC architecture allows for local phase current signal processing, which minimizes induced noise and facilitates layout while reducing the gate driver to power stage impedance. The experimental results are given to show the advantages of the converter.
Some Families of Integral, Trigonometric and Other Related Inequalities

In this lecture, we propose to survey several interesting recent developments on improvements and generalizations of what is popularly known as Steffensen’s integral inequality. Moreover, as a by-product of the investigation presented here, we show how one can correct an error in a recent generalization of Steffensen’s inequality. We also present a brief survey of some old and new inequalities associated with trigonometric functions. These include (among other results) a weighted and exponential generalization of what is popularly known as Wilker’s inequality and a substantially improved
Improving the performance vs . time ratio of graph cut based algorithms CS 664 Final Project

The visual correspondence problem is a classic problem in computer vision. This problem forms the basis of both stereo and motion. In this problem, we are given two images of the same scene from different cameras. A pixel in one image corresponds to a pixel in the other if both pixels are projections along the line of sight of the same physical scene element. The problem is to determine the correspondence between the pixels of the two images ie. basically answer the question – “which pixel went where”.
Characterization of Bacterial, Archaeal and Eukaryote Symbionts from Antarctic Sponges Reveals a High Diversity at a Three-Domain Level and a Particular Signature for This Ecosystem

Sponge-associated microbial communities include members from the three domains of life. In the case of bacteria, they are diverse, host specific and different from the surrounding seawater. However, little is known about the diversity and specificity of Eukarya and Archaea living in association with marine sponges. This knowledge gap is even greater regarding sponges from regions other than temperate and tropical environments. In Antarctica, marine sponges are abundant and important members of the benthos, structuring the Antarctic marine ecosystem. In this study, we used high throughput ribosomal gene sequencing to investigate the three-domain diversity and community composition from eight different Antarctic sponges. Taxonomic identification reveals that they belong to families Acarnidae, Chalinidae, Hymedesmiidae, Hymeniacidonidae, Leucettidae, Microcionidae, and Myxillidae. Our study indicates that there are different diversity and similarity patterns between bacterial/archaeal and eukaryote microbial symbionts from these Antarctic marine sponges, indicating inherent differences in how organisms from different domains establish symbiotic relationships. In general, when considering diversity indices and number of phyla detected, sponge-associated communities are more diverse than the planktonic communities. We conclude that three-domain microbial communities from Antarctic sponges are different from surrounding planktonic communities, expanding previous observations for Bacteria and including the Antarctic environment. Furthermore, we reveal differences in the composition of the sponge associated bacterial assemblages between Antarctic and tropical-temperate environments and the presence of a highly complex microbial eukaryote community, suggesting a particular signature for Antarctic sponges, different to that reported from other ecosystems.
FABIA: factor analysis for bicluster acquisition

Motivation: Biclustering of transcriptomic data groups genes and samples simultaneously. It is emerging as a standard tool for extracting knowledge from gene expression measurements. We propose a novel generative approach for biclustering called ‘FABIA: Factor Analysis for Bicluster Acquisition’. FABIA is based on a multiplicative model, which accounts for linear dependencies between gene expression and conditions, and also captures heavy-tailed distributions as observed in real-world transcriptomic data. The generative framework allows to utilize well-founded model selection methods and to apply Bayesian techniques. Results: On 100 simulated datasets with known true, artificially implanted biclusters, FABIA clearly outperformed all 11 competitors. On these datasets, FABIA was able to separate spurious biclusters from true biclusters by ranking biclusters according to their information content. FABIA was tested on three microarray datasets with known subclusters, where it was two times the best and once the second best method among the compared biclustering approaches. Availability: FABIA is available as an R package on Bioconductor (http://www.bioconductor.org). All datasets, results and software are available at http://www.bioinf.jku.at/software/fabia/fabia.html Contact: hochreit@bioinf.jku.at Supplementary information: Supplementary data are available at Bioinformatics online.
Automatic extraction of PC scenes based on feature mining for a real time delivery system of baseball highlight scenes

To deliver baseball highlight scenes broadcast live to baseball fans outside, image processings such as an online video analyzing, meta information extraction and automatic editing have to be performed in real time. This paper proposes a high-speed image processing to automatically extract PC (pitcher and catcher) scenes, based on feature mining, from a baseball live game broadcast in real time as a part of the baseball highlight scene delivery system. This method showed 95.5% accuracy in the F-measure score within 1/30 of real time.
Understanding the Impact of Boundary and Initial Condition Errors on the Solution to a Thermal Diffusivity Inverse Problem

In this work, we consider simulation of heat flow in the shallow subsurface. As sunlight heats up the surface of soil, the thermal energy received dissipates dow nward into the ground. This process can be modeled using a partial differential equation known a s the heat equation. The spatial distribution of soil thermal conductivities is a key factor in the mode ling process. Prior to this study, temperature profiles were recorded at different dep ths at various times. This work is motivated by trying to match these temperature profiles using a simulation-b ased approach and analytic approaches in the context of an inverse problem. Spe cifically we determine soil thermal conductivities using derivative-free optimization to minimize the non li ear-least square errors between simulation and data profile. Here, we conduct two se s f studies, assuming homogeneous and heterogeneous soil envrionments respectively. W e also study how errors in the initial and boundary conditions propagate over time using both a numerica l approach and an analytical method.
Web video recommendation and long tail discovering

Given countless web videos available online, one problem is how to help users find videos to their taste in an efficient way. In this paper, to facilitate userpsilas browsing we propose relevant and exploratory recommendation algorithms utilizing multimodal similarity and contextual network to organize web videos of various topics. Comparison experiments demonstrate proposed approach generates more accurate video relevancy. And our method is more flexible in discovering user latent interests in long tail videos.
Electron-cloud simulation results for the PSR and SNS

We present recent simulation results for the main features of the electron cloud in the storage ring of the Spallation Neutron Source (SNS) at Oak Ridge, and updated results for the Proton Storage Ring (PSR) at Los Alamos. In particular, a complete refined model for the secondary emission process including the so called true secondary, rediffused and backscattered electrons has been included in the simulation code.
A One-Year Perspective on Exposed In-memory Key-Value Stores

Today's highly-scalable low-latency Web services rely on in-memory key-value stores. While they are essential to improve Web service performance they should not be exposed to the Internet. Security problems range from data leakage to remote code execution. In this paper we use a year long data set of exposed Redis and memcached instances to highlight the magnitude (about 200K) of the problem, document new transitive attacks, and explore misconfiguration patterns. We find that the number of exposed instances is constantly on the rise and that even severe problems only lead to temporal decreases. However, by correlating misconfiguration patterns we can explain significant changes in the number of exposed systems.
Across the Conference Table: Private and Public Mothering of Children With Learning Disabilities

In this article, a narrative inquiry approach is used to investigate how mothers report their experiences of parenting children with learning disability (LD) within the culture of American motherhood and to explore what impact such experiences of motherhood might have upon their relationships with school professionals. Analysis of the mothers’ narratives yields two overarching themes: The Private Mother (inner thoughts and feelings about her own mothering) and The Public Mother (outward responses to others’ comments and behaviors about her mothering). Two subcategories are discussed within each overarching theme: Internalizing and Resisting Social Messages and Inside the Family (The Private Mother), and Judgment in Public Spaces and Mother as Outcast (The Public Mother). The author addresses implications of these findings and offers recommendations for collaborating with mothers of children identified as LD.
Just Curious: Children's Use of Digital Reference for Unimposed Queries and Its Importance in Informal Education

This research investigated the informal use of two children's digital reference services that were used for purposes unintended by the designers. The motivation for this research was to explore the ways that children bend to their own informal uses the formal tools designed to support their education. Research questions included, How and with what frequency do children use digital reference services to answer their own questions? Do digital reference services support self-initiated learning? Could digital reference services support the transfer of student motivation and curiosity from formal education to informal education? What do instructional and software designers need to consider in creating tools that support a notion of transformed education and learning? Results answered these questions and uncovered several unanticipated findings. Digital reference services were shown to support efforts to interest children in science-related careers as early as fourth or fifth grade and to support self-initiated learning in science. Unanticipated findings showed that students ask different kinds of questions as they progress through school, and they should receive training in the use of digital reference services in elementary school. Further conclusions provide insights for digital reference software and service design and suggestions for more strategic pedagogical use of digital references services.