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Learning about Actions and Events in Shared NeMuS
The categorization process of information from pure data or learned in unsuper- vised artificial neural networks is still manual, especially in the labeling phase. Such a process is fundamental to knowledge representation [6], especially for symbol-based systems like logic, natural language processing and textual infor- mation retrieval. Unfortunately, applying categorization theory in large volumes of data does not lead to good results mainly because there is no generic and systematic way of categorizing such data processed by artificial neural networks and joining investigated conceptual structures. Connectionist approaches are capable of extracting information from arti- ficial neural networks, but categorizing them as symbolic knowledge have been little explored. The obstacle lies on the difficulty to find logical justification from response patterns of these networks [2]. This gets worse when considering induc- tive learning from dynamic data which is very important to Cognitive Sciences that considers categorization as a mental operation of classifying objects, actions and events [1]. We shall address the discoveries of our on-going investigation on the problem of inductively learning (IL) from dynamic data by applying a novel framework for neural-symbolic representation and reasoning called share Neural Multi-Space (NeMuS) used in the Amao system[4]. Instead of woking like traditional ap- proaches for ILP, e.g. [5], Amao uses a shared NeMuS of a give background knowledge (BK) and uses inverse unification as the generalization mechanism of a set of logically connected expressions from the Herbrand Base (HB) of BK that defines positive examples
Spontaneous emission of an atom near a wedge
It is a well known fact that non-trivial boundary conditions affect the
interaction between atoms and the always present quantized electromagnetic
field. In this paper, we focus on how the spontaneous emission rate of a given
excited atom is altered when placed inside a perfectly conducting wedge. We
begin by briefly presenting the formalism on which our calculations are
founded, proceeding then to a long but straightforward calculation of the
transition rate. We present results for a general atom but, for the sake of
simplicity, we narrow them down to an effective two-level system in our
numerical investigations. From these we conclude that the results are
physically sound.Comment: 10 pages, version replaced to match the published on
Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs
Welfare and economic development is directly dependent on the availability of highly skilled and educated individuals in society. In the UK, higher education is accessed by a large percentage of high school graduates (50% in 2017). Still, in Brazil, a limited number of pupils leaving high schools continue their education (up to 20%). Initial pioneering efforts of universities and companies to support pupils from underprivileged backgrounds, to be able to succeed in being accepted by universities include personalised learning solutions. However, initial findings show that typical distance learning problems occur with the pupil population: isolation, demotivation, and lack of engagement. Thus, researchers and companies proposed gamification. However, gamification design is traditionally exclusively based on theory-driven approaches and usually ignore the data itself. This paper takes a different approach, presenting a large-scale study that analysed, statistically and via machine learning (deep and shallow), the first batch of students trained with a Brazilian gamified intelligent learning software (called CamaleOn), to establish, via a grassroots method based on learning analytics, how gamification elements impact on student engagement. The exercise results in a novel proposal for real-time measurement on Massive Open Online Courses (MOOCs), potentially leading to iterative improvements of student support. It also specifically analyses the engagement patterns of an underserved community
Zeta function method and repulsive Casimir forces for an unusual pair of plates at finite temperature
We apply the generalized zeta function method to compute the Casimir energy
and pressure between an unusual pair of parallel plates at finite temperature,
namely: a perfectly conducting plate and an infinitely permeable one. The high
and low temperature limits of these quantities are discussed; relationships
between high and low temperature limits are estabkished by means of a modified
version of the temperature inversion symmetry.Comment: latex file 9 pages, 3 figure
Prevalência e fatores de risco associados à mastite subclínica em rebanhos fornecedores de agroindústrias familiares de Rondônia.
A contagem de células somáticas (CCS) é o indicador geral da saúde do úbere e é utilizada como indicador universal da qualidade do leite. Embora vários fatores possam estar associados à variação na CCS, a ocorrência de mastite é considerada o principal fator, sendo o limite de 200.000 células/ml o mais indicado para estimar uma nova infecção intramamária. O objetivo do trabalho foi estimar a prevalência e os fatores de risco associados à mastite subclínica em rebanhos fornecedores de agroindústrias familiares com serviço de inspeção do estado de Rondônia
Fatores de risco associados à qualidade microbiológica do leite de rebanhos fornecedores de agroindústrias familiares.
Dentre os parâmetros que caracterizam a qualidade do leite, o atendimento ao limite definido na legislação para contagem bacteriana se caracteriza por um desafio à cadeia produtiva de Rondônia. O objetivo do trabalho foi identificar os fatores de risco associados à contagem bacteriana do leite de rebanhos fornecedores de agroindústrias familiares do estado
Gerenciamento genético da tilápia nos cultivos comerciais.
Introdução. Desafios da produção. Manejo sanitário de peixes. Situação da distribuição de alevinos no Brasil. Gerenciamento das fases jovens nas pisciculturas comerciais. Exemplo do gerenciamento genético da Tilápia em outros países. Tendências e oportunidades. Considerações finais. Referências.bitstream/item/139186/1/CNPASA-2015-doc23.pd
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