125,500 research outputs found
ISA-tools/ISAcreator: ISAcreator 1.7.10
No full text<p>Includes various fixes for Windows issues #245, #318, #319.</p>
<ul>
<li><code>ISAcreator-1.7.10-all.zip</code> (<strong>recommended for all users</strong>) - ZIP file containing standalone executable Java <code>.jar</code>to run on <strong>all platforms</strong> (Windows, Mac OS and Linux) packaged with default configurations. Unzip the file and run with <code>java -jar ISAcreator.jar</code> from the command prompt or terminal.</li>
<li><code>ISAcreator-1.7.10.jar</code> - Standalone Java <code>.jar</code> executable file.</li>
<li><code>ISAcreator-1.7.10-no-dependencies.jar</code> (for <em>developer</em> use only) - Executable Java <code>.jar</code> file, bundled without any dependencies .</li>
</ul>
<p>Tested on macOS Sierra (10.12.5), Windows 10 and Ubuntu 16.04. Requires Java 7 or 8 runtime.</p>
<p>ISAcreator comes with the a default configuration (version 2015-07-02). To get the other ISA Configurations, take a look at our Configuration Files repository here: <a href="https://github.com/ISA-tools/Configuration-Files">https://github.com/ISA-tools/Configuration-Files</a></p>
Geological mapping in the proterozoic Mt. Isa Inlier, Queensland, Australia, using radiometric and multispectral remotely sensed data
No full textLandsat Thematic Mapper, NSOOl Aircraft Thematic Mapper, Geoscan Mk. II. Multispectral Scanner and Airborne Gamma Radiometric data have been used to address a variety of geological problems in the Mary Kathleen area, 60 km east of Mt. Isa, NW Queensland. This area forms part of the Cloncurry Complex, a structurally complicated mass of diverse igneous and metamorphic rocks in the Precambrian Mt. Isa Inlier for which many stratigraphic problems remain to be solved. The Landsat Thematic Mapper data have been the most extensively used in this study. They are the least problematic data type and provide new geological information at scales up to 1:50 000. The NSOOl Aircraft Thematic Mapper data have similar spectral but superior spatial resolution in comparison with the satellite data. They suffer from increased geometric and noise-related problems, but the increase in spatial resolution has allowed the solution of problems, at scales up to 1:10 000, which could not be comprehensively addressed with the satellite data. The higher spectral resolution Geoscan Mk. II Multispectral Scanner aircraft data used in the latter part of the study can be used to remotely identify surface mineralogy. The logarithmic residual technique has proved the most successful approach to enhancing the radiance data sets. When applied to the lower spectral resolution data the technique achieves good discrimination of most lithologies, produces an albedo image useful for structural mapping and yields more information than can be extracted using conventional techniques. When applied to the higher spectral resolution data the technique allows remote mineral identification. Many of the geological problems in the area have been wholly or partially solved using suitably processed radiance data. The Airborne Gamma Radiometric data have the lowest spatial resolution. Only discrimination has been possible with this data set. These data contain no terrain information and are therefore difficult to use in the field. Integration of the gamma radiometric data with satellite data has been successful in overcoming this problem. The gamma radiometric data have allowed the separation of some lithologies which cannot be separated using the radiance data sets but have contrasting radiometric counts
A dual infection of infectious salmon anaemia (ISA) virus and a togavirus-like virus in ISA of Atlantic salmon Salmo salar in New Brunswick, Canada
No full textTwo viruses, infectious salmon anaemia (ISA) virus and a novel togavirus-like virus, were isolated from ISA disease outbreaks that were first reported as a new syndrome, haemorrhagic kidney syndrome (HKS) affecting farmed Atlantic salmon Salmo salar L. on the East coast of Canada. Laboratory confirmation of ISA diagnosis was initially complicated by isolation of only the togavirus-like agent using the CHSE-214 cell line. Here we demonstrate that a clinical sample from a disease outbreak of ISA contained a mixture of ISA virus and togavirus-like virus. Reverse transcriptase-polymerase chain reaction (RT-PCR) confirmed the presence of both viruses during serial passage of cultures in SHK-1 and CHSE-214 cells. Virus harvested at passage level 3 in both cell lines caused high mortalities and severe gross pathology consistent with ISA virus infection in experimentally inoculated Atlantic salmon parr (approximately 35 g) in freshwater, beginning 12 d post inoculation. ISA virus was detected by virus isolation from kidney and liver tissues of all dead or moribund fish tested. A comparison of virus isolation, 1-step procedure RT-PCR and RNA dot-blot hybridization for detection of ISA virus (ISAV) in fish tissues showed virus isolation to have 100% sensitivity, followed by RT-PCR (66 and 28% sensitivity in kidney and liver, respectively), with RNA dot-blot hybridization as the least sensitive method (20 and 10% sensitivity in kidney and liver, respectively). No togavirus-like virus was detected in these samples by virus isolation. Moreover, another togavirus-like virus isolate grown in CHSE-214 cells in the absence of any other detectable pathogen was non-pathogenic in experimentally inoculated fish. This study confirms that the original ISA outbreaks in New Brunswick, Canada, were caused solely by ISAV
iSA : a fast, scalable and accurate algorithm for sentiment analysis of social media content
No full textWe present iSA (integrated sentiment analysis), a novel algorithm designed for social networks and Web 2.0 sphere (Twitter, blogs, etc.) opinion analysis, i.e. developed for the digital environments characterized by abundance of noise compared to the amount of information. Instead of performing an individual classification and then aggregate the predicted values, iSA directly estimates the aggregated distribution of opinions. Based on supervised hand-coding rather than NLP techniques or ontological dictionaries, iSA is a language-agnostic algorithm (based on human coders' abilities). iSA exploits a dimensionality reduction approach which makes it scalable, fast, memory efficient, stable and statistically accurate. The cross-tabulation of opinions is possible with iSA thanks to its stability. Through empirical analysis it will be shown when iSA outperforms machine learning techniques of individual classification (e.g. SVM, Random Forests, etc) as well as the only other alternative for aggregated sentiment analysis known as ReadMe
Isa intercolombia, a progressive growth 2023 - 2024
No full textEl presente estudio analizó la situación financiera de la compañía Interconexión Eléctrica S.A. (ISA) y las oportunidades que ha presentado en el mercado de capitales para fortalecer su competitividad en el sector de infraestructura energética en América Latina. El propósito fue identificar estrategias financieras para optimizar la gestión de la compañía y garantizar su sostenibilidad a largo plazo. La metodología combinó análisis financiero mediante indicadores clave, como flujo de caja y márgenes de rentabilidad, con un estudio del mercado de capitales, incluyendo tendencias de la Bolsa de Valores de Colombia, tasas de interés y comparativas sectoriales. Los resultados mostraron que ISA tuvo un crecimiento destacado en 2024, con un aumento significativo en ingresos operacionales, utilidad neta y márgenes de rentabilidad, impulsado por proyectos estratégicos en países como Brasil, Perú, Chile y Colombia. La utilidad neta creció un 74% en el tercer trimestre, mientras el margen EBITDA alcanzó el 69 %, reflejando mayor eficiencia operativa. También se evidenció un comportamiento dinámico en el precio de sus acciones, con periodos de alzas moderadas y consolidaciones.Profesional en Negocios InternacionalesPregradoThis study analyzed the financial situation of Interconexión Eléctrica S.A. (ISA) and the opportunities it has presented in the capital market to strengthen its competitiveness in the energy infrastructure sector in Latin America. The purpose was to identify financial strategies to optimize the company's management and ensure its long-term sustainability. The methodology combined financial analysis through key indicators, such as cash flow and profitability margins, with a study of the capital market, including trends in the Colombian Stock Exchange, interest rates and sector comparisons. The results showed that ISA had outstanding growth in 2024, with a significant increase in operating revenues, net income and profitability margins, driven by strategic projects in countries such as Brazil, Peru, Chile and Colombia. Net income grew 74% in the third quarter, while the EBITDA margin reached 69 %, reflecting greater operating efficiency. The company's share price also performed dynamically, with periods of moderate increases and consolidations
Diva (Isa Konrad)
No full textIsa Konrad. Pretoria: Lapa Uitgewers, 2013. 366pp. ISBN: 978-0-799-35932
L-ISA: Learning Domain Specific Isa-Relations from the Web
No full textAutomated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for relevant concepts in a specific domain (e.g. Optical Recording) in the context of a concrete and challenging application scenario (patent processing). To this end information available on the Web is exploited. The extraction method includes four mains steps. Firstly, the Google search engine is exploited to retrieve possible instances of isa-patterns reported in the literature. Then, the returned snippets are filtered on the basis of lexico-syntactic criteria (e.g. the candidate hypernym must be expressed as a noun phrase without complex modifiers). In a further filtering step, only candidate hypernyms compatible with the target domain are kept. Finally a candidate ranking mechanism is applied to select one hypernym as output of the algorithm. The extraction method was evaluated on 100 concepts of the Optical Recording domain. Moreover, the reliability of isa-patterns reported in the literature as predictors of isa-relations was assessed by manually evaluating the template instances remaining after lexico-syntactic filtering, for 3 concepts of the same domain. While more extensive testing is needed the method appears promising especially for its portability across different domains
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Detailed Analysis of Contemporary ARM and x86 Architectures
No full textRISC vs. CISC wars raged in the 1980s when chip area and processor design complexity were the primary constraints and desktops and servers exclusively dominated the computing landscape. Today, energy and power are the primary design constraints and the computing landscape is significantly different: growth in tablets and smartphones running ARM (a RISC ISA) is surpassing that of desktops and laptops running x86 (a CISC ISA). Further, the traditionally low-power ARM ISA is entering the high-performance server market, while the traditionally high-performance x86 ISA is entering the mobile low-power device market. Thus, the question of whether ISA plays an intrinsic role in performance or energy efficiency is becoming important, and we seek to answer this question through a detailed measurement based study on real hardware running real applications. We analyze measurements on the ARM Cortex-A8 and Cortex-A9 and Intel Atom and Sandybridge i7 microprocessors over workloads spanning mobile, desktop, and server computing. Our methodical investigation demonstrates the role of ISA in modern microprocessors? performance and energy efficiency. We find that ARM and x86 processors are simply engineering design points optimized for different levels of performance, and there is nothing fundamentally more energy efficient in one ISA class or the other. The ISA being RISC or CISC seems irrelevant
The influence of Aflorin LIVA L preparation on isa brown laying hens productivity and quality of eggs
No full textAim of the thesis. To investigate the influence of „Aflorin® LIVA L“ preparation on ISA Brown laying hens productivity and quality of eggs. The goals of this work are to determinate the influence of „Aflorin® LIVA L“ preparation on ISA Brown laying hens liveability, productivity, quality parameters of eggs and formation of cholesterol, oxidative processes, fatty acids and volatile compounds in egg yolks
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