Miracle-dz/UniFAR-FTUs huggingface dataset:
2MASS 22344161+4041387AB: A WIDE, YOUNG, ACCRETING, LOW-MASS BINARY IN THE LkHα233 GROUP

We report the discovery of a young, 0. ″16 binary, 2M2234+4041AB, found as the result of a Keck laser guide star adaptive optics imaging survey of young field ultracool dwarfs. Spatially resolved near-infrared photometry and spectroscopy indicate that the luminosity and temperature ratios of the system are near unity. From optical and near-infrared spectroscopy, we determine a composite spectral type of M6 for the system. Gravity-sensitive spectral features in the spectra of 2M2234+4041AB are best matched to those of young objects (∼1 Myr old). A comparison of the Teff and age of 2M2234+4041AB to evolutionary models indicates that the mass of each component is 0.10+0.075−0.04 M☉. Emission lines of Hα in the composite optical spectrum of the system and Brγ in spatially resolved near-IR spectra of the two components indicate that the system is actively accreting. Both components of the system have IR excesses, indicating that they both harbor circumstellar disks. Though 2M2234+4041AB was originally identified as a young field dwarf, it lies 1. ′5 from the well-studied Herbig Ae/Be star, LkHα233. The distance to LkHα233 is typically assumed to be 880 pc. It is unlikely that 2M2234+4041AB could be this distant, as it would then be more luminous than any known Taurus objects of similar spectral type. We re-evaluate the distance to the LkHα233 group and find a value of 325+72−50 pc, based on the Hipparcos distance to a nearby B3-type group member (HD 213976). 2M2234+4041AB is the first low-mass star to be potentially associated with the LkHα233 group. At a distance of 325 pc, its projected physical separation is 51 AU, making it one of the growing number of wide, low-mass binaries found in young star-forming regions.
Service Quality Model with Cultural Perspective in Effect on Patient Satisfaction in Hospitals with Different Accreditation Status

There is a problem in achieving the accreditation status of hospitals in Indonesia and their understanding. The existence of an accreditation process is designed to improve the safety culture and quality culture in the hospital, so that the hospital will always strive to improve the quality of its services. The purpose of this study is the implementation of indicators of quality culture and safety culture for the development of indicators of dimensions of hospital service quality with different accreditation statuses. This type of research is observational research for the development of models from the Quality Dimensions of Services. Conducted in private hospitals in Central Java and Yogyakarta Special Region in April to August 2017. The study population was patients who were treated surgically, aged between 20 and 70 years. A total of 190 patients were collected proportionally from 5 private hospitals based on their accreditation status strata. The result is a positive relationship between Quality Culture and Service Quality, There is a positive relationship between the Culture of Safety and Service Quality, a Accreditation Status positively meaningful with Service Quality, Service Quality is positively related to Patient Satisfaction and There is a significant positive relationship indirectly between Accreditation Status and Patient Satisfaction.
Team COMMIT at TREC 2011

We describe the participation of Team COMMIT in this year's Microblog and Entity track. Team COMMIT participated in two tracks this year: the Mi- croblog track and the Entity track. In our participation in the Microblog track, we used a feature-based approach. Specifically, we pursued a preci- sion oriented recency-aware retrieval approach for tweets. Amongst others we used various types of external data. In particular, we examined the potential of link retrieval on a corpus of crawled content pages and we use semantic query expansion using Wikipedia. We also deployed pre-filtering based on query-dependent and query-independent features. Our main finding is that cutting-off the result list is difficult and crucial for good results. We also found that using exter- nal data helps with recall and precision. For our participation in this year's Entity track we focused on the Entity List Completion (ELC) task. We experimented with a text-based and a link-based approach to retrieving entities from Linked Data (LD). Additionally, we experi- mented with selecting candidate entities from a web corpus. Our hypothesis is that entities occurring on pages with many of the example entities are more likely to be good candidates than entities that do not. Due to the absence of evaluation results at the time of writing, we have no preliminary con- clusions yet. The remainder of the paper consists of two largely inde- pendent sections, one for each of the tracks in which we par- ticipated, plus a conclusion.
The Sign Theory of Language and the form-meaning interface / La Théorie du langage basée sur le signe et l’interface forme-sens

Abstract This article examines a key feature of Denis Bouchard's Sign Theory of Language, namely the Substantive Hypothesis (SH), the idea that “the most explanatory linguistic theory is one that minimizes the elements (ideally to zero) that do not have an external motivation in the prior properties of the perceptual and conceptual substances of language”. The article argues that the strongest form of the SH is challenged by two widespread classes of phenomena: morphosyntactic generalizations that are not sign-based, and non-sign-based external pressures on grammars. It concludes with some speculative remarks on why, to a significant degree, grammatical patterning is not sign-based. Résumé Cet article porte sur une composante clé de la Théorie du langage basée sur le signe de Denis Bouchard, à savoir l’Hypothèse substantive (HS), selon laquelle « the most explanatory linguistic theory is one that minimizes the elements (ideally to zero) that do not have an external motivation in the prior properties of the perceptual and conceptual substances of language ». [la théorie linguistique qui a le plus grand pouvoir explicatif est celle qui réduit (idéalement à zéro) les éléments qui ne sont pas motivés indépendamment des propriétés antérieures des substances perceptuelles et conceptuelles du langage. ] L'article soutient que deux classes de phénomènes très répandus représentent un défi pour les tenants de la version la plus forte de l'HS : les généralisations morphosyntaxiques non basées sur le signe et les pressions externes et indépendantes du signe qui pèsent sur les grammaires. L'article se conclut avec quelques remarques spéculatives concernant ce qui pourrait expliquer pourquoi, dans une grande mesure, les schémas grammaticaux ne sont pas basés sur le signe.
Measurements of reactive nitrogen in the stratosphere

We present volume mixing ratio profiles of NO, NO2, HNO3, HNO4, N2O5, and ClNO3 and their composite budget (NOy), from 20 to 39 km, measured remotely in solar occultation by the Jet Propulsion Laboratory MkIV Interferometer during a balloon flight from Fort Sumner, New Mexico (35°N), on September 25, 1993. In general, observed profiles agree well with values calculated using a photochemical steady state model constrained by simultaneous MkIV observations of long-lived precursors and aerosol surface area from the Stratospheric Aerosol and Gas Experiment II. The measured variation of concentrations of NOx (= NO + NO2) and N2O5 between sunrise and sunset reveals the expected ∼2:1 stoichiometry at all altitudes. Despite relatively good agreement between theory and observation for profiles of NO and HNO3 the observed concentration of NO2 becomes progressively higher than model values below 30 km, with the discrepancy reaching ∼30% at 22 km. This suggests an incomplete understanding of factors that regulate the NO/NO2 and NO2/HNO3 ratios below 30 km. Observations obtained during September 1990, prior to the June 1991 eruption of Mount Pinatubo, as well as during April 1993 and September 1993 provide a test of our understanding of the affect of aerosol surface area on the NOx/NOy ratio at midlatitudes. The observations reveal a decrease in the NOx/NOy ratio for increasing aerosol surface area that is consistent with the heterogeneous hydrolysis of N2O5 being the dominant sink of between altitudes of 18 and 24 km for the conditions encountered (e.g., surface areas as high as 14 μm2 cm−3 and temperatures from 209 to 219 K).
Machine Learning of Extraction Patterns from Unannotated Corpora: Position Statement

One of the principal challenges of information extraction is the efficient customization of a system to a new extraction task. In many cases, extraction is performed by matching the input text against a set of patterns, so the core problem is one of finding the set of patterns for the new task. These patterns may be stated in terms of individual tokens, sequences of basic syntactic constituents such as noun and verb groups, or in terms of syntactic relationships among constituents; the comments here apply equally to any approach, although the mechanisms required will differ. Some extraction tasks may require substantial intersentential inference in addition to intrasentential pattern recognition; we do not address such tasks here.
Using student generated video to link theory and practice on the ‘Levensbeschouwing’ minor

The research examined the ways in which Student Generated Video supported the learning process on the course ‘Levensbeschouwing’ (Life Philosophy) on the third year on the teacher training course at Inholland in Amsterdam. The central question examined was: In which ways does the student generated video on the Inholland course ‘Life Philosophy’ contribute to students gaining insight, developing deeper knowledge, and achieving the course learning goals? The 30 students on the course participated in the research. During the course, they were involved in creating three video interviews per project group that examined the question of life philosophy from the perspective of personal life, life philosophy traditions and school life. Video production was segmented into four phases; pre-production, production, post-production and reflection. At each phase, students answered short open questions online, and on the final day completed a survey. A group of seven students participated in a group interview on the final day.
Finding objects at indoor environment combined with depth information

To detect and localize objects in a scene is an essential step for many computer vision tasks. Many efforts have been done for detecting and localizing category-specific ojects. However, only few works focused on the generic objectness measure which is more common and important than category-specific object detection. Base on an existing method, in this paper, a novel method by combining a new cue, the depth information, is proposed for detecting and localizing generic objects in the indoor scenes. Through our experiments, we found that by adding depth information cue the performance of detecting and localizing will be better (especially for the closed objects) than the original method. Finally, a method for selecting bounding box which contains a possible object is also introduced and the result is promising by being shown in our experiments.
Minimum Cost Benchmarking for Intermediate Data Storage in Scientific Cloud Workflow Systems

Many scientific workflows are data intensive where a large volume of intermediate data is generated during their execution. Some valuable intermediate data need to be stored for sharing or reuse. Traditionally, they are selectively stored according to the system storage capacity, determined manually. As doing science on cloud has become popular nowadays, more intermediate data in scientific cloud workflows can be stored by different storage strategies based on a pay-for-use model. In this paper, we build an Intermediate data Dependency Graph (IDG) from the data provenances in scientific workflows. With the IDG, deleted intermediate data can be regenerated, and as such we develop a novel algorithm that can develop a minimum cost storage strategy of the intermediate data in scientific cloud workflows systems. The strategy achieves the best trade-off of computation cost and storage cost by automatically storing the most appropriate intermediate datasets in the cloud storage. This strategy can be deemed as a minimum cost benchmark for all other intermediate data storage strategies in the cloud. We utilise Amazon’s cost model and apply the algorithm to general random as well as specific astrophysics pulsar searching scientific workflows for evaluation. The results show that benchmarking effectively demonstrates the cost effectiveness of other representative storage strategies.
A proposition of erosion algorithm for terrain models with hardness layer

Processes of erosion occurring in natural environment depend on two major factors. The first is the strength of erosion force, e.g. wind, rainfall or water flow. The second is the terrain hardness or its tolerance to erosion forces. In this article we propose a method of modelling terrain erosion process where the force is uniformly distributed over the entire model with local distribution of varying terrain sensitivity. For the simulations we use two-layered terrain model. The first layer contains information about heights distribution (height-field) and simulate topography of the ter- rain. The second layer stores data defining its hardness (hardness-field) that represents different geological structures in the terrain.
Specifying Coupling and Cohesion Metrics using OCL and Alloy

This report presents a MOF-compliant metamodel for calcula ting software metrics and demonstrates how it is used to generate a metrics tool that calculates coupling and cohesion metrics. We also describe a systemati c approach to the analysis of MOF-compliant metamodels and illustrate the approa ch using the presented metamodel. In this approach, we express the metamodel using UML and OCL and harness existing automated tools in a framework that genera tes a Java implementation and an Alloy specification of the metamodel, and use this both to examine the metamodel constraints, and to generate instantiations of t he metamodel. Moreover, we describe how the approach can be used to generate test data for ny software based on a MOF-compliant metamodel. We extend our framework to support this approach and use it to generate a test suite for the metrics ca lculation tool that is based on our metamodel.
Large-Scale Hierarchical Text Classification Based on Path Semantic Vector and Prior Information

Although an improvement of hierarchical text classification can be achieved by using hierarchical structure information, existing hierarchical text classification methods suffer from two problems: data skew (especially in large-scale hierarchy) and error propagation. In this paper, we first define the concept of path-based semantic vector for the presentation of categories. Then a set of additional reliable training data for data-sparse categories can be retrieved based on such representation and particular similarity metrics. This training data enhancement strategy is classifier independent and can improve the classification of categories without adequate training data. Second, we propose the occurrence probability based strategy for hierarchical text classification which can reduce error propagation efficiently. Cooccurrence probability is then introduced to correct the errors occurred on higher levels of the hierarchy. Extensive experiments show that our hierarchical classification strategies perform well on ODP dataset, even in the condition of having few training data.
THE ANTIMICROBIAL ACTIVITY OF STREPTOMYCES SPECIES

A total of fifty-nine antibiotic microbial producers have been isolated from the soil, seven of them have shown activity against both Grampositive and Gram – negative bacteria. On the other hand, fiftytwo isolates were only active against Gram – positive bacteria. Of the 7 broad – spectrum antibiotic microbial producers, one isolate of high activity was chosen and has been involved throughout the work and subsequently identifyed as Streptomyces sp. Attempts were made to improve the maximum yield of the antibiotic produced by this organism through the investigations of the optimum conditions affecting the antibiotic production.
Embedding Xpath Queries into SPARQL Queries

While XPath is an established query language developed by the W3C for XML, SPARQL is a new query language developed by the W3C for RDF data. Comparisons between the data models of XML and RDF and between the query languages XPath and SPARQL are missing. Since XML and XPath are earlier recommendations of the W3C than RDF and SPARQL, currently more XML data and XPath queries are used in applications. However, recently available SPARQL query evaluators do not deal with XML data and XPath queries. We have developed a prototype for translating XML data into RDF data and embedding XPath queries into SPARQL queries for the following two reasons: 1) We want to compare the XPath and XQuery data model with the RDF data model and the XPath query language with the SPARQL query language in order to show similarities and differences. 2) We want to enable SPARQL query evaluators to deal with XML data and XPath queries in order to support XPath processing and SPARQL processing in parallel. We have developed a prototype for the source-to-source translations from XML data into RDF data and from XPath queries into SPARQL queries. We have run experiments to measure the execution times of the translations, of XPath queries and of their translated SPARQL queries.
Online professional communities : understanding the effects of membership on teacher practice

Online communities offer teachers a forum to discuss ideas, seek support, engage in professional discussions and network with a wider peer group. The popularity of online communities for teachers is self-evident by the quantity that has emerged in recent years and they present as opportunities to engage in continued pedagogical growth. The study presented in this paper has focused on the electronic discussions of three online communities for teachers, two Australian-based communities and one UK-based community. The aim was to analyse the content of the messages, via content analysis using the Practical Inquiry Model (Garrison, Anderson & Archer, 2001) in an attempt to determine if membership had an impact pedagogy. This study will present findings that support the conclusion that membership to online communities provides genuine opportunities for continued pedagogical growth for teachers. It will also show that they are being used as a problem solving resource, provide opportunities for professional discourse and professional support.
Arbitrage-Free Limit Order Markets and the Pricing of Order Flow Risk

This paper builds on the landmark contribution of Glosten (1994) by treating the determination of limit order supply schedules as an exercise in asset pricing theory with the possible sizes of incoming market orders as the value-relevant states of nature, yielding an analogue of the Fundamental Theorem of Asset Pricing. State prices and price impact prove to be proportional to the slope of the book and simple nonparametric and semiparametric models for limit order book dynamics arise when the price of order flow risk is constant over time, providing a comprehensive and coherent framework for organizing limit order book data.
Expert Systems: Where Are We? And Where Do We Go from Here?

Work on expert systems has received extensive attention recently, prompting growing interest in a range of environments. Much has been made of the basic concept and of the rule-based system approach typically used to construct the programs. Perhaps this is a good time then to review what we know, asses the current prospects, and suggest directions appropriate for the next steps of basic research. I'd like to do that today, and propose to do it by taking you on a journey of sorts, a metaphorical trip through the State of the Art of Expert Systems. We'll wander about the landscape, ranging from the familiar territory of the Land of Accepted Wisdom, to the vast unknowns at the Frontiers of Knowledge. I guarantee we'll all return safely, so come along.
Tuning Behaviours Using Attributes Embedded in an Agents Architecture

In this paper we discuss how to tune agents’ behaviours by explicitly modify a set of elements previously defined and included in the agents’ architecture. By tuning, we mean influencing agents’ world view, changing their preferences and even modify their beliefs about which goals are possible. This elements which we call attributes, such as urgency, insistence and intensity, are able to modify agents’ priorities with regard to the resource consumption, to modify the evaluation of the implicit costs of action execution and even to change agents’ view about their capabilities to execute an action. In a preliminary experimental evaluation made in a multi-agent system environment, a modified predator-prey workbench, we show how the attributes are important elements while trying to improve predators’ global efficiency. In the final discussion, we argue about the benefits of having this set of attributes which allow agents to be selected and modified by stakeholders to support environmental odds, like a team manager would do.
On the role of ontological semantics in routing contextual knowledge in highly distributed autonomic systems

Much recent research has focused on applying Autonomic Computing principles to achieve constrained self-management in adaptive systems, through self-monitoring and analysis, strategy planning, and self adjustment. However, in a highly distributed system, just monitoring current operation and context is a complex and largely unsolved problem domain. This difficulty is particularly evident in the areas of network management, pervasive computing, and autonomic communications. This paper presents a model for the filtered dissemination of semantically enriched knowledge over a loosely coupled network of distributed heterogeneous autonomic agents. It also presents an implementation of such a Knowledge Delivery Network, which enables the efficient routing of distributed heterogeneous knowledge to, and only to, nodes that have expressed an interest in that knowledge for use as the operational or context information monitored in order to analyse to the system’s behaviour as part of an autonomic control
Doing Sociomateriality Research in Information Systems

This paper agrees with Mueller et al.'s (2016) view that researchers who want to adopt a sociomaterial approach often find themselves confused regarding research methods. However, it departs from Mueller's et al. suggestion to seek guidance from the structural-functionalist approach of Parsons' and Shils' (1951) General Theory of Action. The paper argues that finding a methodological framework for research following a sociomaterial approach has to be consistent with the philosophy, ontology and roots of this approach and that it is limiting to read the post-human approach of sociomateriality through a structural-functionalist lens. The paper briefly reviews the roots of the sociomaterial approach in sociology and information systems and offers a methodological guidance based on Actor Network Theory (ANT) and post ANT/Feminist lenses.