Miracle-dz/UniFAR-FTUs huggingface dataset:
Acute suppurative presentation of osteoarticular tuberculosis in children.

INTRODUCTION Osteoarticular tuberculosis is known for its atypical presentations. The acute presentation of osteoarticular tuberculosis although mentioned by many observers is seldom seen in practice. We report the varied presentations of acute suppurative presentation of osteoarticular tuberculosis in pediatric age group. METHODS Our study retrospectively assessed 10 children with osteoarticular tuberculosis who had acute presentation with short history of a few days and signs of acute inflammation. RESULTS The age range varied from 3-12 years. The duration of symptoms averaged 14.7 days (range, 4-28 days). Three patients were afebrile at the time of presentation. The diagnosis of tubercular aetiology was made only retrospectively in all the cases. All, except one, were subjected to Fine Needle Aspiration Cytology (FNAC)/ trochar bone biopsy. Diagnosis was based on smear positive for acid fast bacilli (n = 3), histopathology (n = 5), and on clinicoradiological findings in two cases. The acute exudative pattern was seen in seven and gravity assisted tracking and accumulation of abscess (dependent) in three patients. In eight patients, the FNAC/ trochar biopsy decompressed the lesion initially. Incision and drainage were performed on one case of osteoarticular tuberculosis with clinical presentation of acute pyogenic infection. Another patient of acute exudative pattern was subjected to drainage and debridement in view of impending burst. Both exudative and dependent forms of suppurative presentations of osteoarticular tuberculosis responded well to standard antitubercular chemotherapy. The abscesses resolved within a period of 6-12 weeks. CONCLUSION The acute suppurative presentation is a rare and atypical form of osteoarticular tuberculosis. It has close resemblance to acute pyogenic infections or septic arthritis and pose significant diagnostic dilemma for the unwary. A vigilant and methodical approach is the key for managing acute suppurative tubercular presentations.
Adopting the Dublin Core Standard for Describing Open Scientific Data: The e-Quilt Prototype Experiment

This research contextualizes the contemporary state of the scientific communication. The technological infrastructure, standards, protocols, tools, and methodologies are essential for scientific open data management. Our focus is on the scientific primary data and its sharing. It presents a experiment in which the prototype, named e-Quilt, is being developed. In its environment, an enhanced article and the scientific open data are presented. The research aims at adopting an infrastructure with standard and tool for upgrading the e-Quilt prototype. The adopted metadata standard was the Dublin Core. The technique was qualitative used for the independent and dependent variables. The analyze was focusing in the adequacy of the e-Quilt prototype in accordingly with the standard. The results presented that the enhanced article is complies with the Dublin Core standard.
Development of a New Resequencing Pathogen Microarray Based Assay for Detection of Broad-Spectrum Respiratory Tract Viruses in Patients with Community-Acquired Pneumonia

A Resequencing Pathogen Microarray (RPM) is a single, highly multiplexed assay for detecting and differentiating similarly related pathogens by using closely overlapping probe sets to determine a target organism’s nucleotide sequence. In this study, a new RPM (RPM-IVDC1) that consisted of 224-bp detector tiles corresponding to 9 influenza A subtypes, 11 rhinoviruses, 28 enteroviruses and 38 other respiratory viruses was developed and optimized to provide individual and simultaneous detection sensitivities ranging from 15 to 750 genomic copies for 16 common respiratory pathogens. A total of 110 consecutive patients with community-acquired pneumonia (CAP) admitted to 5 district general hospitals in Beijing during a 1-year period were assessed using the new assay. Among the children (under age 5) and adult patients (above age 18), respiratory syncytial virus (RSV) and rhinovirus (RV) were the most common etiological agents, respectively, which is consistent with reference assays. Atypical pathogens that may cause CAP-like illness, including rubella virus, measles virus, influenza type C virus, human herpesvirus (HHV) were also detected. The results show the capability of RPM-IVDC1 for the accurate detection and identification of multiple virus types, which may be of significant use in epidemic surveillance and outbreak investigations of atypical pathogens.
Monitoring of Benthic Reference Sites: Using an Autonomous Underwater Vehicle

We have established an Australia-wide observation program that exhibits recent developments in autonomous underwater vehicle (AUV) systems to deliver precisely navigated time series benthic imagery at selected reference stations on Australia's continental shelf. These observations are designed to help characterize changes in benthic assemblage composition and cover derived from precisely registered maps collected at regular intervals. This information will provide researchers with the baseline ecological data necessary to make quantitative inferences about the long-term effects of climate change and human activities on the benthos. Incorporating a suite of observations that capitalize on the unique capabilities of AUVs into Australia's integrated marine observation system (IMOS) [1] is providing a critical link between oceanographic and benthic processes. IMOS is a nationally coordinated program designed to establish and maintain the research infrastructure required to support Australia's marine science research. It has, and will maintain, a strategic focus on the impact of major boundary currents on continental shelf environments, ecosystems, and biodiversity. The IMOS AUV facility observation program is designed to generate physical and biological observations of benthic variables that cannot be cost effectively obtained by other means.
LP-decodable multipermutation codes

In this paper, we introduce a new way of constructing and decoding multipermutation codes. Multipermutations are permutations of a multiset that may consist of duplicate entries. We first introduce a new class of matrices called multipermutation matrices. We characterize the convex hull of multipermutation matrices. Based on this characterization, we propose a new class of codes that we term LP-decodable multipermutation codes. Then, we derive two LP decoding algorithms. We first formulate an LP decoding problem for memoryless channels. We then derive an LP algorithm that minimizes the Chebyshev distance. Finally, we show a numerical example of our algorithm.
Nonparametric Estimation of an eBay Auction Model with an Unknown Number of Bidders*

In this paper, I present new identification results and proposes an estimation method for an eBay auction model with an application. A key difficulty with data from eBay auctions is the fact that the number of potential bidders willing to pay the reserve price is not observable and the number of potential bidders varies auction by auction. While this precludes application of existing estimation methods, I show that this need not preclude structural analysis of the available bid data. In particular, I show that within the symmetric independent private values (IPV) model, observation of any two valuations of which rankings from the top is known (for example, the secondand third-highest valuations) nonparametrically identifies the bidders' underlying value distribution. In contrast to the results of previous studies, the researcher does not need to know the number of potential bidders willing to pay the reserve price nor assume that the number of potential bidders is fixed across auctions. I then propose a consistent estimator using the semi-nonparametric maximum likelihood estimation method developed by Gallant and his coauthors. Several Monte Carlo experiments are conducted to illustrate its performance. The simulation results show that the proposed estimator performs well. I apply the proposed method to university yearbook sales on eBay. Using my estimate of bidders' value distribution, I explore the effects of sellers' ratings on bidders' value distribution; compute consumers' surplus; and examine a regularity assumption that is often made in the mechanism design literature. __________________________ *I am indebted to Phil Haile for his warm encouragement and detailed comments. I am also grateful to Yeon-Koo Che, Bruce Hansen, Yuichi Kitamura, and Myunghwan Seo for their helpful comments and conversations, and thank to Salih Burak Gokturk, Ali Hortaçsu, and Pai-Ling Yin for their guidance in Perl programming. The financial support from the Wisconsin Alumni Research Foundation and the Social Science Research Council is appreciated. † usong@interchange.ubc.ca, faculty.arts. ubc.ca/usong
Diagnosing Heterogeneous Hadoop Clusters

We present a data-driven approach for diagnosing performance issues in heterogeneous Hadoop clusters. Hadoop is a popular and extremely successful framework for horizontally scalable distributed computing over large data sets based on the MapReduce framework. In its current implementation, Hadoop assumes a homogeneous cluster of compute nodes. This assumption manifests in Hadoop’s scheduling algorithms, but is also crucial to existing approaches for diagnosing performance issues, which rely on the peer similarity between nodes. It is desirable to enable efficient use of Hadoop on heterogeneous clusters as well as on virtual/cloud infrastructure, both of which violate the peer-similarity assumption. To this end, we have implemented and here present preliminary results of an approach for automatically diagnosing the health of nodes in the cluster, as well as the resource requirements of incoming MapReduce jobs. We show that the approach can be used to identify abnormally performing cluster nodes and to diagnose the kind of fault occurring on the node in terms of the system resource affected by the fault (e.g., CPU contention, disk I/O contention). We also describe our future plans for using this approach to increase the efficiency of Hadoop on heterogeneous and virtual clusters, with or without faults.
THE JINI SYSTEM AIMS TO PROVIDE THE MINIMAL SET OF RULES TO ALLOW CLIENTS AND SERVICES TO FIND EACH OTHER AND INTERACT

Jini technology assumes a changing network, in terms of both the components that make up the network and the way these components interact. Networks are generally long-lived entities that, as they grow to include ever-larger populations of users and machines, become increasingly difficult to upgrade as a single entity. That’s why the Jini architecture is designed around support for incrementally upgrading network components (hardware and software) [9]. So, for example, installing a
Shared Humanity, City Branding, and Municipal Immigrant Integration Initiatives in the Southeastern United States

Abstract:In recent years, an increasing number of places across the United States, including cities in the southeastern US, have launched immigrant and refugee integration and “welcoming city” policies and programs. However, there has been little focus on the scope, implementation, and impact of such programs or on the broader receiving community. This study analyzes qualitative data from three case study municipalities in the southeastern US—Atlanta, Charlotte, and Nashville. Each of these cities have launched a form of municipal immigrant integration initiative referred to as a “welcoming city. ” This paper explores how each city became a welcoming city and what initiatives are underway to continue cultivating a welcoming environment. While each city’s leadership may indeed broadly position their city as “welcoming”, motivations for adopting welcoming initiatives broadly fall into either a “shared humanity” perspective and/or economic development. There is a tension among shared humanity and economic development motivations as the primary drivers of welcoming initiatives. This bears out when examining the public documents from the initiatives, public statements from municipal leaders, and programming pursued by the initiatives in each welcoming city. Further consideration of these tensions among groups with different motivations is critical to expand our understanding of urban growth and change in new immigrant destinations.Abstract:En los últimos años un número creciente de lugares en los EE.UU. han lanzado programas y iniciativas de “bienvenida a la ciudad” y integración al inmigrante y refugiado. Sin embargo, no han habido muchos estudios sobre dichos programas en su alcance, implementación no impacto o en las comunidades que reciben a los inmigrantes. Este estudio analiza datos cualitativos de tres municipios de caso de estudio en el sureste de los EE.UU. – Atlanta, Charlotte y Nashville. Cada una de estas ciudades ha lanzado una forma de integración al inmigrante a nivel de municipio lo cual se refiere como “ciudad de bienvenida. ” Este ensayo explora como cada ciudad se convirtió en una ciudad de bienvenida y las iniciativas que siguen implementando para continuar a cultivar un ambiente de bienvenido. Mientras que la administración de cada ciudad pueda nombrar su ciudad como una de bienvenida, los motivos por adoptar iniciativas de bienvenida caen a una perspectiva de “humanidad compartida” y/o una de desarrollo económico. Hay una tensión entre la humanidad compartida y desarrollo económico como los motivos principales de las iniciativas de bienvenida. Esto se presenta cuando se examinan los documentos públicos de las iniciativas, declaraciones públicas de los líderes municipales y programación que surge de las incitativas en cada ciudad de bienvenida. Más consideración de estas tensiones entre grupos con diferentes motivos es esencial para nuestro entender del crecimiento urbano y cambio en nuevos destinos del inmigrante.
WRPA: A System for Relational Paraphrase Acquisition from Wikipedia

In this paper we present WRPA, a system for Relational Paraphrase Acquisition from Wikipedia. WRPA extracts paraphrasing patterns that hold a particular relation between two entities taking advantage of Wikipedia structure. What is new in this system is that Wikipedia's exploitation goes beyond infoboxes, reaching itemized information embedded in Wikipedia pages. WRPA is language independent, assuming that there exists Wikipedia and shallow linguistic tools for that particular language, and also independent of the relation addressed.
Cooking procedure recognition and inference in sensor embedded kitchen

This paper proposes cooking support using ubiquitous sensors. We developed a machine learning algorithm that recognizes cooking procedures by taking into account widely varying sensor information and user behavior. To provide appropriate instructions to users, we developed a Markov-model-based behavior prediction algorithm. Using these algorithms, we developed cooking support automatically displaying cooking instruction videos based on user progress. Experiments and experimental results confirmed the feasibility of our proposed cooking support.
Semantic Tagging using a Probabilistic Context Free Grammar

Abstract : This paper describes a statistical model for extraction of events at the sentence level, or "semantic tagging", typically the first level of processing in Information Extraction systems. We illustrate the approach using a management succession task, tagging sentences with three slots involved in each succession event: the post, person coming into the post, and person leaving the post. The approach requires very limited resources: a part-of-speech tagger; a morphological analyzer; and a set of training examples that have been labeled with the three slots and the indicator (verb or noun) used to express the event. Training on 560 sentences, and testing on 356 sentences, shows the accuracy of the approach is 77.5% (if partial slot matches are deemed incorrect) or 87.8% (if partial slot matches are deemed correct).
A Complex Dynamic Systems Perspective on Identity and its Development: The Dynamic Systems Model of Role Identity

Current prominent models of identity face challenges in bridging across divergent perspectives and apparent dichotomies such as personal or social-collective, conscious or unconscious, and epigenetic or discursive-relational, and affording pursuit of research questions that allows integrative answers. This article presents a coherent theoretical perspective on the integrative nature of identity and its developmental mechanisms. Adopting the contextual social role as a primary unit of analysis, the Dynamic Systems Model of Role Identity (DSMRI) conceptualizes role identity as a Complex Dynamic System (CDS) anchored in action that comprises the actor’s ontological and epistemological beliefs, purpose and goals, self-perceptions and self-definitions, and perceived action possibilities in the role. These system components are conceptualized as interdependent, and identity development is viewed as emergent, continuous, nonlinear, contextualized, and given to influences from within and without the system. The role identity itself constitutes an element within a multilevel hierarchy, which at the unit of analysis of the individual reflects a CDS of the multiple roles that constitute the person’s psychosocial identity. Identity development involves the formation and restructuring of relations within and among role identities through intra- and interpersonal processes that are mediated by sociocognitive and cultural means, and framed by the context as well as by implicit dispositions. The DSMRI provides a framework to conceptualize and investigate the nature of the identity system, its development, and the relationship between identity development and psychological functioning at different units of-analysis, across different developmental stages and contexts, and using quantitative and qualitative methodologies.
Methods for fault tolerance in networks-on-chip

Networks-on-Chip constitute the interconnection architecture of future, massively parallel multiprocessors that assemble hundreds to thousands of processing cores on a single chip. Their integration is enabled by ongoing miniaturization of chip manufacturing technologies following Moore's Law. It comes with the downside of the circuit elements' increased susceptibility to failure. Research on fault-tolerant Networks-on-Chip tries to mitigate partial failure and its effect on network performance and reliability by exploiting various forms of redundancy at the suitable network layers. The article at hand reviews the failure mechanisms, fault models, diagnosis techniques, and fault-tolerance methods in on-chip networks, and surveys and summarizes the research of the last ten years. It is structured along three communication layers: the data link, the network, and the transport layers. The most important results are summarized and open research problems and challenges are highlighted to guide future research on this topic.
Yet Another Short Signatures Without Random Oracles from Bilinear Pairings

In recent years, cryptographic protocols based on the bilinear pairings have attracted much attention. One of the most distinguished achievements in this area was the solution to design short signatures. Up to now, there exist two short signature schemes with random oracles and one without random oracles from bilinear pairings. In this paper, we describe another short signature scheme which is existentially unforgeable under a chosen message attack without using random oracles. The security of our scheme depends on a new complexity assumption we call the k+1 square roots assumption. We discuss the relationship between the k+1 square roots assumption and some related problems and give some conjectures. Further more, the k+1 square roots assumption gives even shorter signatures under the random oracles.
Tracked data for Chionactis occipitalis through a post array

Data are tracked kinematics of the snakes (Chionactis occipitalis) and the position of the tip of the flexible posts. A high-speed camera (AOS) captured the motion of the snakes at 200 frames per second. The snakes move across a spatially uniform, yielding substrate (high-pile carpet), through a single row of equidistant force-sensitive posts, and continue across the substrate. The posts are rubber and bend slightly under forcing from the snakes. A second high-speed camera (AOS) captured the tip of the posts at 200 frames per second. The force applied to the posts could be calculated from this position. All data were tracked from grayscale Data were collected 07/2016-09/2016.
Novel polymer-polymer conjugates for recovery of lactic acid by aqueous two-phase extraction.

A new family of polymer conjugates is proposed to overcome constraints in the applicability of aqueous two-phase systems for the recovery of lactic acid. Polyethylene glycol-polyethylenimine (PEI) conjugates and ethylene oxide propylene oxide-PEI (EOPO-PEI) conjugates were synthesized. Aqueous two-phase systems were generated when the conjugates were mixed with fractionated dextran or crude hydrolyzed starch. With 2% phosphate buffer in the systems, phase diagrams with critical points of 3.9% EOPO-PEI-3.8% dextran (DEX) and 3.5% EOPO-PEI-7.9% crude starch were obtained. The phase separation temperature of 10% EOPO-PEI solutions titrated with lactic acid to pH 6 was 35 degrees C at 5% phosphate, and increased linearly to 63 degrees C at 2% phosphate. Lactic acid partitioned to the top conjugate-rich phase of the new aqueous two-phase systems. In particular, the lactic acid partition coefficient was 2.1 in 10% EOPO-PEI-8% DEX systems containing 2% phosphate. In the same systems, the partitioning of the lactic acid bacterium, Lactococcus lactis subsp. lactis, was 0.45. The partitioning of propionic, succinic, and citric acids was also determined in the new aqueous two-phase systems.
Content and Location based Information Retrieval System

Personalized Web search is an effective means of providing precise results to different users when they submit the same query. As the amount of web information grows rapidly an efficient personalization approach that modifies the appearance of a website's content to satisfy a specific user's instructions or preferences is required. It is also essential to keep track of the change of interest of the user from time to time. An approach which involves a concept based user profiling strategy, along with the click-through data and keyword-based search, is developed. Concepts are split into content and location concepts and are maintained separately for monitoring the gradual transition in the interest of a user over the time. The user’s interest is captured from the clickthrough information. Depending upon the links clicked and the concepts returned users’ information access behavior is analyzed and re-ranking is performed to obtain the relevant results.
Impact of location-based augmented reality games on people’s information behavior: A case study of Pokémon Go

Location-based augmented reality games, blending the reality and virtual world, are becoming increasingly popular. We aim to improve our understanding on how these new types of games will impact people’s information behaviors in both physical and virtual places, specifically investigating the case of Pokémon GO . We conducted over 100 hours of field observation of Pokémon GO players in numerous public places and also monitored over 200 online communities related to the game, in addition to conducting interviews of 30 players. Our key findings include observation of the emergence of ad-hoc information grounds in physical spaces where much of the information sharing occurred, as well as a crowdsourced data-driven approach in problem solving and information sharing in online environments. We discuss the common types of information sharing that occur in both of these environments in detail, and identify areas for future research.