NATSUM: Narrative abstractive summarization through cross-document timeline generation

A new approach to narrative abstractive summarization (NATSUM) is presented in this paper. NATSUM is centered on generating a narrative chronologically ordered summary about a target entity from several news documents related to the same topic. To achieve this, first, our system creates a cross-document timeline where a time point contains all the event mentions that refer to the same event. This timeline is enriched with all the arguments of the events that are extracted from different documents. Secondly, using natural language generation techniques, one sentence for each event is produced using the arguments involved in the event. Specifically, a hybrid surface realization approach is used, based on over-generation and ranking techniques. The evaluation demonstrates that NATSUM performed better than extractive summarization approaches and competitive abstractive baselines, improving the F1-measure at least by 50%, when a real scenario is simulated.     

Movement behaviors and their association with depressive symptoms in Brazilian adolescents: A cross-sectional study

Background:Physical activity,sleep,and sedentary behaviors compose 24-h movement behaviors and have been independently associated with depressive symptoms.However,it is not clear whether it is the movement behavior itself or other contextual factors that are related to depressive symptoms.The objective of the present study was to examine the associations between self-reported and accelerometer-measured movement behaviors and depressive symptoms in adolescents.Methods:Cross-sectional data from 610 adolescents(14-18 years old)were used.Adolescents answered questions from the Center for Epidemiological Studies Depression scale and reported time spent watching videos,playing videogames,using social media,time spent in various physical activities,and daytime sleepiness.Wrist-worn accelerometers were used to measure sleep duration,sleep efficiency,sedentary time,and physical activity.Mixed-effects logistic regressions were used.Results:Almost half of the adolescents(48%)were classified as being at high risk for depression(score≥20).No significant associations were found between depressive symptoms and accelerometer-measured movement behaviors,self-reported non-sport physical activity,watching videos,and playing videogames.However,higher levels of self-reported total physical activity(odd ratio(OR)=0.92,95%confidence interval(95%CI):0.86-0.98)and volume of sports(OR=0.88,95%CI:0.79-0.97),in minutes,were associated with a lower risk of depression,while using social media for either 2.0-3.9 h/day(OR=1.77,95%CI:1.58-2.70)or>3.9 h/day(OR=1.67,95%CI:1.10-2.54),as well as higher levels of daytime sleepiness(OR=1.17,95%CI:1.12-1.22),were associated with a higher risk of depression.Conclusion:What adolescents do when they are active or sedentary may be more important than the time spent in the movement behaviors because it relates to depressive symptoms.Targeting daytime sleepiness,promoting sports,and limiting social media use may benefit adolescents.     

How and with what accuracy do children report self-regulated learning in contemporary EFL instructional settings?

European Journal of Psychology of Education - This study aimed to understand how children reflect about learning, report their regulation of learning activity, and develop their performance in...     

Investigating relationships within and between category networks in Wikipedia

This work maps and analyses cross-citations in the areas of Biology, Mathematics, Physics and Medicine in the English version of Wikipedia, which are represented as an undirected complex network where the entries correspond to nodes and the citations among the entries are mapped as edges. We found a high value of clustering coefficient for the areas of Biology and Medicine, and a small value for Mathematics and Physics. The topological organization is also different for each network, including a modular structure for Biology and Medicine, a sparse structure for Mathematics and a dense core for Physics. The networks have degree distributions that can be approximated by a power-law with a cut-off. The assortativity of the isolated networks has also been investigated and the results indicate distinct patterns for each subject. We estimated the betweenness centrality of each node considering the full Wikipedia network, which contains the nodes of the four subjects and the edges between them. In addition, the average shortest path length between the subjects revealed a close relationship between the subjects of Biology and Physics, and also between Medicine and Physics. Our results indicate that the analysis of the full Wikipedia network cannot predict the behavior of the isolated categories since their properties can be very different from those observed in the full network.     

Investigating returns to scope of research fields in universities

For policy-makers and managers of research organizations, improvement in performance is a constant objective. The potential presence of returns to scope of fields of research could influence decisions in planning the fields of activity of the research organization and the spatial positioning of its researchers in function of their specializations. We investigate the possible presence of returns to scope and the relation between scope of fields in an organization and intensity of interdisciplinary collaboration. The results, from analyzing the scientific collaborations of Italian university researchers over the years 2004–2008, seem to indicate that in general the scope of the research fields has no impact on the productivity of research or the intensity of interdisciplinary collaboration.     

Examining expansion and trends in higher education in Mozambique,Africa

Higher Education - Concerns about expansion in higher education (HE) have increasingly become a focus of educational policymakers in sub-Saharan countries. However, critical analysis and discussion...     

University-industry research collaboration: a model to assess university capability

Scholars and policy makers recognize that collaboration between industry and the public research institutions is a necessity for innovation and national economic development. This work presents an econometric model which expresses the university capability for collaboration with industry as a function of size, location and research quality. The field of observation is made of the census of 2001–2003 scientific articles in the hard sciences, co-authored by universities and private enterprises located in Italy. The analysis shows that research quality of universities has an impact higher than geographic distance on the capability for collaborating with industry. The model proposed and the measures that descend from it are suited for use at various levels of administration, to assist in realizing the “third role” of universities: the contribution to socio-economic development through public to private technology transfer.     

People and Technology Today： Some Educational Implications

The present article approaches some of the educational implications borne by humanity with technological progress We begin by pointing out significant data that classify what is considered relevant. Then, confronting the future is discussed by analyzing the attitudes necessary to promote the goals. Confronted with these challenges, three possible focuses are suggested in accordance to the novel realities issued from science and technology： The first is the revitalization of humanism; The second is, the society of knowledge calls for both ＂radicalism and responsibility＂, which is also a response to our own decisions, without avoiding their consequences nor discharging them in others; The third is, understanding the true and full significance of solidarity. Finally, some approaches and educational suggestions are highlighted allowing parents, professors and students the greatest opportunity for profiting from the limitless resources that science and technology provide us for personal growth.     

Associations Among Mothers’ Depression,Emotional and Learning-Material Support to Their Child,and Children's Cognitive Functioning: A 16-Year Longitudinal Study

This study examined the associations among maternal depression, mothers’ emotional and material investment in their child, and children's cognitive functioning. Middle-class Chilean mothers and children (N = 875; 52% males) were studied when children were 1, 5, 10, and 16 years (1991–2007). Results indicated that highly depressed mothers provided less emotional and material support to their child across all ages, which related to children's lower IQ. Children with lower mental abilities at age 1 received less learning-material support at age 5, which led to mothers’ higher depression at child age 10. Mothers’ low support was more strongly linked to maternal depression as children got older. Findings elucidate the dynamic and enduring effects of depression on mothers’ parenting and children's development.