Global Advanced Research Journal of Medicine and Medical Sciences (GARJMMS)

September 12th, 2014 CI2S Enterprise Content Admin

I am pleased to announce to you that the August 2014 publication of the Global Advanced Research Journal of Medicine and Medical Sciences (GARJMMS) ISSN: 2315-5159 is out. You can view the issue with this link: http://garj.org/garjmms/content/2014/August.htm

The Global Advanced Research Journal of Medicine and Medical Science (GARJMMS) ISSN: 2315-5159 impact factor score of 3.353  is a multidisciplinary peer-reviewed journal that publishes monthly by http://garj.org/index.html http://garj.org/garjmms/index.htm. GARJMMS is dedicated to increasing the depth of the subject across disciplines with the ultimate aim of expanding knowledge of the subject.

Call for Research Articles

We invite you to submit your manuscript(s) for publication. Our objective is to inform authors of the decision on their manuscript(s) within two weeks of submission. Following acceptance, a paper will normally be published in the next issue. Guide to authors and other details are available on our website;http://garj.org/garjmms/index.htm

GARJMMS will cover all areas of the subject. The journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence, and will publish:

Original articles in basic and applied research
Case Reports
Critical reviews, surveys, opinions, Short communication, commentaries and essays

GARJMMS is an Open Access Journal

One key request of researchers across the world is unrestricted access to research publications. Open access gives a worldwide audience larger than that of any subscription-based journal and thus increases the visibility and impact of published works. It also enhances indexing, retrieval power and eliminates the need for permissions to reproduce and distribute content. GARJMMS is fully committed to the Open Access Initiative and will provide free access to all articles as soon as they are published.

The advantages to you of publishing in Global Advanced Research Journal of Medicine and Medical Science (GARJMMS) ISSN: 2315-5159

Full open access: everyone can read your article when it is published
Publishing decision within two (2) weeks of submission
Prompt and fair peer review from two or more expert peer reviewers
Frequent updates on your paper?s status
Friendly responsive staff
Encouragement of only quality research and its publication
Strict plagiarism checking – plagiarism for us is a crime
Publishing of all types of research articles, special issues and proceedings

We welcome all your submissions.

I hope you will consider Global Advanced Research Journal of Medicine and Medical Science (GARJMMS) ISSN: 2315-5159 for your next submission

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International Journal of Engineering Research and Applications (IJERA)

September 12th, 2014 CI2S Enterprise Content Admin

International Journal of Engineering Research and Applications (IJERA) is ISO 3297:2007 certified open access and peer reviewed refereed international Journal.

IJERA invites articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Engineering, Technology, Science and Mathematics.

INDEXING: NASA Ads, ArXiv, ANED (American National Engineering Database), EBSCO Host, Cabell’s Directory, DOAJ, NCBI (US National Library) etc.

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Impact factor of IJERA: 1.325 (http://www.ijera.com/impact-factor.html)

IC Value (By Index Copernicus): 5.29
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Submission Deadline: 15th September 2014

Acceptance notification: After One week of paper submission

Paper Publication: 30th September 2014

You can submit your manuscript by simply mailing on ijera.editor@gmail.com in MS Word format.

For more detail log on to: www.ijera.com

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Announcement in Maestría en Explotación de Datos y Descubrimiento del Conocimiento – Universidad de Buenos Aires

September 12th, 2014 CI2S Enterprise Content Admin
Announcement in Maestría en Explotación de Datos y Descubrimiento del Conocimiento – Universidad de Buenos Aires
Announcement from Maestría en Explotación de Datos y Descubrimiento del Conocimiento – Universidad de Buenos Aires
announcerFullName
Ignacio Uman
Director de Uman Comunicaciones. Consultor y Docente en Comunicación Institucional.
“CICLO DE CHARLAS Y PANELES “HABLEMOS DE BIG DATA”

********************************************************************
Maestría en Explotación de Datos y Descubrimiento del Conocimiento
Universidad de Buenos Aires
<http://www.datamining.dc.uba.ar>
********************************************************************

La Maestría en Explotación de Datos y Descubrimiento del Conocimiento de la Universidad de Buenos Aires está desarrollando un ciclo inédito de charlas y paneles, para celebrar el 10º aniversario de su creación. Se trata del ciclo “Hablemos de Big Data”, un evento donde los principales especialistas en el tratamiento y análisis de grandes volúmenes de datos exponen una agenda estratégica de temáticas para diferentes sectores productivos de Argentina y Latinoamérica.

El 17 de septiembre a las 18 hs. se llevará a cabo el tercer panel temático “Big Data en Social Media: reinventando las interacciones”. Este encuentro tendrá lugar en el Aula Magna del Pabellón 1 de Ciudad Universitaria, Facultad de Ciencias Exactas y Naturales (FCEN-UBA), con la participación especial de Socialmetrix y Keepcon.

Se espera que este encuentro aborde diferentes casos de éxito para medios online y redes sociales, presentando proyectos innovadores de desarrollo de tecnologías analíticas. Asimismo, continuando con los festejos por los 10 años de la Maestría, durante 2014 se desarrollarán nuevos eventos sobre Big Data aplicados a áreas de la industria, con la presencia de referentes académicos y empresariales.

El ciclo de charlas es libre, gratuito y no se requieren conocimientos
previos sobre la temática. Más información e inscripción:
www.datamining.dc.uba.ar/difusion <http://www.datamining.dc.uba.ar/difusion>
Quedan todos cordialmente invitados.
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AN ANALYSIS OF THE USE OF TECHNOLOGY FOR COLLABORATIVE LEARNING IN COMPUTER LABORATORIES AND IN CLASSROOMS

September 12th, 2014 CI2S Enterprise Content Admin
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BROADCASTING PUC CHILE

​El Departamento de Ciencia de la Computación de la Universidad Católica de Chile tiene el agrado de invitarlo/a para este Viernes 12 de Septiembre en la Sala Javier Pinto, (Campus San Joaquín, Edificio San Agustín 4to. piso) de 11:30 a 13:00 (GMT-​4​) horas a los siguientes coloquios:

“UN ANÁLISIS DEL USO DE TECNOLOGÍA PARA EL APRENDIZAJE COLABORATIVO EN LABORATORIOS COMPUTACIONALES Y EN SALAS DE CLASES”

Expositor: David Peña. Profesor guía: Miguel Nussbaum

Definir los efectos que tienen distintas tecnologías y metodologías dentro de la sala de clases es primordial para su utilización efectiva. Esta investigación se centra en comparar el aprendizaje colaborativo silencioso en grandes grupos con la ayuda de dos tecnologías distintas. La primera es One Mouse per Child donde cada alumno cuenta con un mouse y trabaja en una pantalla compartida. Esta es una alternativa económica para comunidades de escasos recursos, al necesitar un solo computador cada cuarenta alumnos. La segunda se desarrolla en un laboratorio computacional donde cada alumno cuenta con su propio computador. Se trabajó con dos sextos básicos, cada uno usó una tecnología distinta para resolver las actividades.  Estas consistían en una matriz de clasificación, donde los alumnos se ayudaban mediante sugerencias. Los conocimientos evaluados fueron los de Lenguaje y Comunicación. Se comparó la colaboración silenciosa gracias a los registros de los dos programas utilizados. Se realizó un estudio de usabilidad para comparar ambos ambientes de trabajo. Para esto se contó con observadores que registraban las conductas de los alumnos. El aprendizaje se midió gracias a pruebas tradicionales diseñadas por pedagogos. De los resultados se dedujo que en el laboratorio la colaboración silenciosa es más efectiva y la usabilidad es mejor. Finalmente se concluyó que el aprendizaje se logra en ambos casos y no muestra diferencias considerables.

​​
“REFORMULACIÓN POLINOMIAL DE PROBLEMAS DE PLANIFICACIÓN CON OBJETIVOS TEMPORALES”
​Expositor: Jorge Torres Villarrubia. Profesor Supervisor: Jorge Baier
Planificación Clásica es un problema de Ia Inteligencia Artificial que consiste en encontrar un plan tal que al ejecutarlo en un estado inicial lleve a un estado objetivo. En muchas aplicaciones interesa encontrar planes tales que la secuencia de estados que generan cumpla alguna propiedad o restricción deseada (no solo en el estado objetivo). Para esto se utilizan fórmulas de Lógicas Temporales para expresar dichas propiedades y se busca un plan que satisfaga dicha fórmula. Una manera efectiva de enfrentar un problema de planificación con objetivos temporales es reformular dicho problema a uno clásico con el fin de utilizar planificadores ya existentes. La clave principal de esta reformulación consiste en que para toda fórmula temporal existe un autómata no determinista que se puede usar para verificar si dicha fórmula es satisfactible. En el problema reformulado, se simulan las transiciones del autómata para verificar que el plan que se encuentre satisfaga el objetivo temporal. El gran obstáculo que se produce es que ciertas fórmulas temporales generan una cantidad exponencial de estados al construir el autómata. La finalidad de este trabajo es utilizar otro tipo de autómatas: autómatas alternantes, estos garantizan que el número de estados sea polinomial sobre el tamaño del objetivo temporal en el peor caso. Hasta ahora, se ha observado que el largo de los planes de estos problemas reformulados es proporcional al largo del objetivo temporal y que existen diferentes reformulaciones que son más efectivas que otras para planificadores específicos.

Para unirse a la transmisión, copie esta dirección en su navegador:
https://meet.lync.com/dccpuc/laccirvc/nllv5v9y

The Department of Computer Science at UC is pleased to invite you to this Friday, September 12, in room Javier Pinto, San Agustin Building 4th Floor at San Joaquin Campus, from 11:30 to 13:00 (GMT-​4​) hours at the following conference:

“AN ANALYSIS OF THE USE OF TECHNOLOGY FOR COLLABORATIVE LEARNING IN COMPUTER LABORATORIES AND IN CLASSROOMS”

Speaker: David Peña. Supervisor Professor: Miguel Nussbaum

To define the effects of different technologies in the classroom is essential for their effective use. This research focuses on comparing the silent collaborative learning in large groups with the help of two different technologies. The first is One Mouse per Child where each student has a mouse and work on a shared screen. This is an economical alternative for low-income communities, needing a single computer every forty students. The second takes place in a computer lab where each student has their own computer. The study was done with two different classes of sixth grade students, each experimental group used a different technology for solving the same activities. These consisted of a classification matrix, where students helped each other sending suggestions (the curriculum for Language and Communication was evaluated). Silent collaboration was evaluated thanks to the records that the programs kept. A usability study was conducted, for this observers recorded the behaviors of students. Learning was measured by traditional tests designed by teachers. From the results it was concluded that, silent collaboration in the laboratory is more effective than in the classroom. In the same line the usability parameters also scored higher in the laboratory. Finally it was concluded that learning is achieved in both cases and there is no significant differences between technologies.

​
“POLYNOMIAL REFORMULATION OF PLANNING PROBLEMS WITH TEMPORARY OBJECTIVES”​

​Speaker: Jorge Torres Villarrubia. Supervisor Professor: Jorge Baier​

​Classical Planning is a problem studied in Artificial Intelligence which consists of finding a plan that leads an agent from a given initial state to a goal state defined by a given property. Many compelling applications require finding plans whose execution, rather than just its final state, satisfies a certain given property. Linear Temporal Logic (LTL) is a language that allows a natural specification for such properties. An effective approach to planning with LTL goals reformulates a given a planning problem with an LTL goal into a classical planning problem. This allows the use of off-the-shelf classical planners for temporal planning. The key enabler of such a reformulation is the fact that for every LTL formula it is possible to build a non-deterministic finite-state automaton to check for its satisfiability. Unfortunately the size of the automaton is worst-case exponential on the size of the formula which means that the size of the reformulated problem may blow up exponentially with respect to the size of the original problem. The objective of this work is to propose a worst-case polynomial reformulation algorithm. Our approach exploits a different type of automata: Alternating Automata (AA). It is known that for every LTL formula there exists a corresponding linear-size AA. We propose a number of approaches to utilize these AA in a reformulation algorithm. We prove the length of plans for these reformulated problems can grow by a factor proportional to the length of the goal formula. Our preliminary experimental evaluation has shown that certain ways of reformulating the problem are more effective for specific planners.​
To join the transmission copy this address into your browser:
https://meet.lync.com/dccpuc/laccirvc/nllv5v9y

Latin American and Caribbean Collaborative ICT Research
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DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics

September 12th, 2014 CI2S Enterprise Content Admin

============== DATA ANALYTICS 2015 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics

July 19 – 24, 2015 – Nice, France


General page: http://www.iaria.org/conferences2015/DATAANALYTICS15.html

Call for Papers: http://www.iaria.org/conferences2015/CfPDATAANALYTICS15.html

Submission page: http://www.iaria.org/conferences2015/SubmitDATAANALYTICS15.html


Contributions:

– regular papers [in the proceedings, digital library]

– short papers (work in progress) [in the proceedings, digital library]

– ideas: two pages [in the proceedings, digital library]

– extended abstracts: two pages [in the proceedings, digital library]

– posters: two pages [in the proceedings, digital library]

– posters:  slide only [slide-deck posted at www.iaria.org]

– presentations: slide only [slide-deck posted at www.iaria.org]

– demos: two pages [posted at www.iaria.org]

– doctoral forum submissions: [in the proceedings, digital library]


Proposals for:

– symposia: see http://www.iaria.org/symposium.html

– workshops: see http://www.iaria.org/workshop.html

– tutorials:  [slide-deck posed on www.iaria.org]

– panels: [slide-deck posed on www.iaria.org]


Submission deadline: February 27, 2015

Sponsored by IARIA, www.iaria.org


Extended versions of selected papers will be published in IARIA Journals:  http://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org


Please note the Poster and Work in Progress options.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. 
All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and conform with the Editorial rules: http://www.iaria.org/editorialrules.html


DATA ANALYTICS 2015 Topics (topics and submission details: see CfP on the site)


Fundamentals for data analytics

Tools, frameworks and mechanisms for data analytics; Open API for data analytics; In-database analytics; Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.); Analytics visualization; Multi-modal support for data analytics; Google/FaceBook/Twitter/etc. analytics; High-performance data analytics

Mechanisms and features

Scalable data analytics; Big data analytics; Deep data analytics; Mass data analytics; Storing, dropping and filtering data; Relevant/redundant/obsolete data analytics; Volume vs. semantics analytics; Nomad analytics; Predictive analytics; Trust in data analytics; Legal issues analytics; Failure on data analytics

Sentiment/opinion analysis

Architectures for generic sentiment analysis systems; Sentiment analysis techniques on social media; Document-level analysis; Sentence-level analysis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lexicon acquisition; Optimizing sentiment analysis algorithms; Applications of sentiment analysis.

Application-oriented analytics

Statistical applications; Simulation applications; Crawling web services; Cross-database analytics; Forecast analytics; Financial risk management; ROI analytics

Target analytics

Business analytics; Malware analytics; Cyber-threats analytics; Mining user logs; Reputation analytics; User choice analytics; Branding analytics; Utility proximity-search analytics; Survey-based online asset analytics; Online employment analytics; Geology analytics; Global climate analytics; Remote learning analytics; Homecare analytics; Population growth and migration analytics; Food-borne illness outbreaks analytics

Big Data

Foundational models for Big Data; Big Data Analytics and Metrics; Big Data processing and management; Big Data search and mining; Big Data platforms; Big Data persistence and preservation; Big Data and social networks; Big Data economics

Huge data

Knowledge Discovery from Huge Data; Computational Intelligence for Huge Data; Linked Huge Data; Security Intelligence with Huge Data


Committee: http://www.iaria.org/conferences2015/ComDATAANALYTICS15.html

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