scholarly journals DRUG-BEHAVIOR INTERACTION HISTORY: MODIFICATION OF THE EFFECTS OF MORPHINE ON PUNISHED BEHAVIOR

1986 ◽  
Vol 45 (2) ◽  
pp. 221-228 ◽  
Author(s):  
Linda S. Brady ◽  
James E. Barrett
Keyword(s):  
Punished Behavior ◽  
Interaction History

Ethnicity and Anthropology in the Soviet Union

1977 ◽  
Vol 18 (2) ◽  
pp. 201-220 ◽  
Author(s):  
Ernest Gellner
Keyword(s):  
Soviet Union ◽  
Social Anthropology ◽  
The West ◽  
Academic World ◽  
Soviet Academy ◽  
The Soviet Union ◽  
A Minor ◽  
Interaction History ◽  
Academy Of Sciences ◽  
The Revolution

InThePastDecade, a minor revolution has taken place within Soviet Anthropology. ‘Ethnography’ is one of the recognised disciplines in the Soviet academic world, and corresponds roughly to what in the West is called social anthropology. This revolution has as yet been barely noticed by outside observers (1). Its leader is Yulian Bromley, a very Russian scholar with a very English surname, Director of the Institute of Ethnography of the Soviet Academy of Sciences. The revolution consists of making ethnography into the studies of ethnos-es, or, in current Western academic jargon, into the study of ethnicity—in other words the study of the phenomena of national feeling, identity, and interaction. History is about chaps, geography is about maps, and ethnography is about ethnoses. What else ? The revolution is supported by arguments weightier than mere verbal suggestiveness; but by way of persuasive consideration, etymology is also invoked.

scholarly journals ICL light in a z~0.5 cluster: the MUSE perspective

2016 ◽  
Vol 11 (S321) ◽  
pp. 336-338
Author(s):  
E. Pompei ◽  
C. Adami ◽  
Keyword(s):  
Ram Pressure ◽  
History Of ◽  
Intracluster Light ◽  
Interaction History ◽  
Intermediate Redshift

AbstractIntracluster light is contributed by both stars and gas and it is an important tracer of the interaction history of galaxies within a cluster. We present here the results obtained from MUSE observations of an intermediate redshift (z~ 0.5) cluster taken from the XXL survey and we conclude that the most plausible process responsible for the observed amount of ICL is ram pressure stripping.

scholarly journals Interactions, information and emergence: Exploring task allocation in ant colonies using network analysis

2021 ◽  
Author(s):  
Anshuman Swain ◽  
Sara D Williams ◽  
Louisa J Di Felice ◽  
Elizabeth A Hobson
Keyword(s):  
Network Analysis ◽  
Functional Groups ◽  
Task Allocation ◽  
Interaction Networks ◽  
Group Level ◽  
Ant Colonies ◽  
Individual Level ◽  
Network Measures ◽  
Interaction History ◽  
The Impact

In animal societies, individuals may take on different roles to fulfil their own needs and the needs of their groups. Ant colonies display high levels of organisational complexity, with ants fulfilling different roles at different timescales (what is known as task allocation). Factors affecting task allocation can be at the individual level (e.g., physiology), or at the group level (e.g., interaction histories). In this work, we focus on group level processes by exploring the impact of the history of interaction networks on task allocation and task switching using a previously published dataset (Mersch et al., 2013) tracking the behaviour of six Camponotus fellah colonies over 41 days. First, we investigated the architecture of interaction networks using node (individual) level network measures and their relation to the individual's task - foraging, cleaning or nursing - and whether or not the ant switched tasks. We then explored how noisy information propagation is among ants, as a function of the colony composition (how many ants are carrying out which tasks), through the information-theoretic metric of effective information. Our results show that interaction history affected task allocation, with ants more likely to switch to a task if they had interacted with other ants carrying out that task. The degree to which interaction history affected task allocation, as well as the noise in their interactions, depended on which groups of ants are interacting. Overall, we showed that colony cohesion is stable even as ant-level network measures vary more for ants when they switched functional groups; thus ant colonies maintain a high level of information flow as determined by network analysis and ant functional groups play different roles in maintaining colony cohesion.

scholarly journals Introduction to Matrix Factorization for Recommender Systems

2021 ◽  
Author(s):  
Shalin Shah
Keyword(s):  
Singular Value Decomposition ◽  
Online Education ◽  
Recommender Systems ◽  
Matrix Factorization ◽  
Gradient Descent ◽  
Large Scale ◽  
Singular Value ◽  
Factorization Algorithms ◽  
Value Decomposition ◽  
Interaction History

Recommender systems aim to personalize the experience of user by suggesting items to the user based on the preferences of a user. The preferences are learned from the user’s interaction history or through explicit ratings that the user has given to the items. The system could be part of a retail website, an online bookstore, a movie rental service or an online education portal and so on. In this paper, I will focus on matrix factorization algorithms as applied to recommender systems and discuss the singular value decomposition, gradient descent-based matrix factorization and parallelizing matrix factorization for large scale applications.

scholarly journals A review of recommendation system research based on bipartite graph

2021 ◽  
Vol 336 ◽  
pp. 05010
Author(s):  
Ziteng Wu ◽  
Chengyun Song ◽  
Yunqing Chen ◽  
Lingxuan Li
Keyword(s):  
Neural Network ◽  
Bipartite Graph ◽  
Recommendation System ◽  
Research Priorities ◽  
Research Progress ◽  
Full Paper ◽  
Data Sparseness ◽  
The Past ◽  
Interaction History ◽  
Network Processing

The interaction history between users and items is usually stored and displayed in the form of bipartite graphs. Neural network recommendation based on the user-item bipartite graph has a significant effect on alleviating the long-standing data sparseness and cold start of the recommendation system. The whole paper is based on the bipartite graph. An review of the recommendation system of graphs summarizes the three characteristics of graph neural network processing bipartite graph data in the recommendation field: interchangeability, Multi-hop transportability, and strong interpretability. The biggest contribution of the full paper is that it summarizes the general framework of graph neural network processing bipartite graph recommendation from the models with the best recommendation effect in the past three years: embedding layer, propagation update layer, and prediction layer. Although there are subtle differences between different models, they are all this framework can be applied, and different models can be regarded as variants of this general model, that is, other models are fine-tuned on the basis of this framework. At the end of the paper, the latest research progress is introduced, and the main challenges and research priorities that will be faced in the future are pointed out.

scholarly journals Cyberactivism: A new form of participation for university students

Comunicar ◽  
2016 ◽  
Vol 24 (46) ◽  
pp. 47-54 ◽  
Author(s):  
M.-Guadalupe González-Lizárraga ◽  
María-Teresa Becerra-Traver ◽  
Mireya-Berenice Yanez-Díaz
Keyword(s):  
Social Networks ◽  
Young Age ◽  
Degree Programs ◽  
Digital Networks ◽  
Inclusion Criteria ◽  
Redes Sociales ◽  
Derechos Humanos ◽  
Personal Motivation ◽  
Interaction History ◽  
The University

The purpose of this article is to show the results derived from a sample of students who were enrolled in different bachelor degree programs offered by the University of Sonora in Mexico. There was a double objective for this study. First, to identify cyber activist students through the answers gathered through a questionnaire taken electronically using as inclusion criteria the presence of high and medium levels of participation and commitment in different actions undertaken in four topic areas (environment, academic, social and citizen issues, and human rights). As a second objective, and after selecting three unique cases of cyber activist students, inflexion points were determined in the activities performed by these youngsters in digital social networks. Using personal narrative as a methodological strategy, the students described how they interact with others through different digital networks. Among the first categories identified in the indepth interviews are: interaction history (use, access and availability of technology at a young age), and active participation about topics of interest in social networks (organization and the perceptions of achievements made). As main findings, there are the availability of these resources from a young age, personal motivation in participating in diverse topics, enjoyment of expressing one’s opinion freely, electronic participation as a way to commit to a cause, and not joining an organization while participating. Se presentan resultados derivados de una muestra de estudiantes que asisten a las diversas licenciaturas que ofrece la Universidad de Sonora en México. El objetivo fue doble, en un primer momento, identificar a estudiantes ciberactivistas a través de las respuestas obtenidas de un cuestionario aplicado de manera electrónica, utilizando como criterios de inclusión la presencia de puntajes medios y altos en el nivel de participación y compromiso en las diversas acciones emprendidas en cuatro temas (medio ambiente, académicos, problemas sociales y ciudadanos, y derechos humanos). En un segundo momento y a partir de la selección de tres casos únicos de estudiantes ciberactivistas, se determinaron puntos de inflexión en las actividades desarrolladas por estos jóvenes en las redes sociales digitales, utilizando como estrategia metodológica la narrativa de los propios estudiantes cuando interactúan con otros en las redes. Entre las categorías iniciales en las entrevistas en profundidad se encuentra: la historia de interacción (uso, acceso y disposición de la tecnología desde temprana edad), y la participación activa en las redes sociales sobre temas de interés (organización y percepción de logros alcanzados). Como principales hallazgos se encuentra la disposición de estos recursos desde temprana edad, la motivación personal en los diversos temas, el gusto para expresarse de manera libre, la participación electrónica como forma de comprometerse con las causas, y la no afiliación a organizaciones al participar.

Effect of self-representation of interaction history by the robot on perceptions of mind and positive relationship: a case study on a home-use robot

2019 ◽  
Vol 33 (21) ◽  
pp. 1112-1128
Author(s):  
Hamed Mahzoon ◽  
Kohei Ogawa ◽  
Yuichiro Yoshikawa ◽  
Michiko Tanaka ◽  
Kento Ogawa ◽  
...  
Keyword(s):  
Positive Relationship ◽  
Interaction History

scholarly journals Impact of the Metal Evaporation Rate in Vacuum Interrupters on Vapor Expansion and Deposition in Vacuum

2019 ◽  
Vol 6 (2) ◽  
pp. 165-169
Author(s):  
A. E. Geisler ◽  
N. Wenzel
Keyword(s):  
Ceramic Surface ◽  
High Current ◽  
Extended Version ◽  
Metal Vapour ◽  
Current Case ◽  
Vacuum Interrupter ◽  
Ceramic Surfaces ◽  
Metal Evaporation ◽  
History Of ◽  
Interaction History

The emission of contact material into vacuum after switching operation of a vacuum interrupter is crucial for the metallisation of the ceramic surfaces. This work focuses on the simulation of various regimes of metal vapour pressure using an extended version of an existing DSMC code that now allows the visualisation of the interaction types and locations during the vapour expansion. The model was applied to a typical vacuum interrupter geometry at different current levels between 3 A and 100 kA. The simulations show that in the low current case the likelihood for a particle hitting a ceramic surface can be more than a factor of 5 higher than in the high current case. An explanation of this observation will be given by analysing the interaction history of the respective particles.

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