scholarly journals Evaluation of economic recovery capability under the background of COVID-19: application of a big data information processing model

2022 ◽  
Vol 355 ◽  
pp. 02050
Author(s):  
Yufeng Shi ◽  
Jiaohui Tang ◽  
Dan Wan

In order to promote local economic recovery under the COVID-19 pandemic, this paper first constructs a big data information processing model, then measure the growth of GDP and fiscal revenue driven by consumption, investment and export in Guangdong province. The measurement results show that under the stimulus of consumption, investment and export of the same intensity, Guangzhou, Shenzhen and Foshan perform better in the GDP index, while Shenzhen, Shaoguan and Qingyuan perform better in the fiscal revenue index. To this end, local governments should give priority to Guangzhou, Shenzhen, Foshan, Shaoguan and Qingyuan to take effective economic stimulus measures to achieve faster growth in GDP and fiscal revenue. The research results are of practical significance for guiding local governments to implement precise policies to promote the process of economic recovery.

2021 ◽  
pp. 009365022199531
Author(s):  
Tess van der Zanden ◽  
Maria B. J. Mos ◽  
Alexander P. Schouten ◽  
Emiel J. Krahmer

This study investigates how online dating profiles, consisting of both pictures and texts, are visually processed, and how both components affect impression formation. The attractiveness of the profile picture was varied systematically, and texts either included language errors or not. By collecting eye tracking and perception data, we investigated whether picture attractiveness determines attention to the profile text and if the text plays a secondary role. Eye tracking results revealed that pictures are more likely to attract initial attention and that more attractive pictures receive more attention. Texts received attention regardless of the picture’s attractiveness. Moreover, perception data showed that both the pictorial and textual cues affect impression formation, but that they affect different dimensions of perceived attraction differently. Based on our results, a new multimodal information processing model is proposed, which suggests that pictures and texts are processed independently and lead to separate assessments of cue attractiveness before impression formation.


Author(s):  
Caroline M. Leaf ◽  
Brenda Louw ◽  
Isabel Uys

The current article suggests that alternatives to the current traditional learning methods are essentials if learning institutions are to provide people with effective life skills that enable them to be autonomous learners. This suggestion is based on a body of literature on alternative learning which stresses the need for fundamental change and hence, a paradigm shift in perception of learning in order to cope with the world-wide information explosion. The alternative non-traditional approach proposed in geodesic learning which stresses learning how to learn and self-directed inquiry as essential life skills which enable systems as well as the people in the systems to bring about their own transformation in response to changing situations and requirements. The current article discusses an alternative service delivery model, the geodesic information processing model, which falls within the realms of the geodesic philosophy. The implications of this alternative approach for the speech-language therapist are discussed.


Author(s):  
Swaroop S. Vattam ◽  
Michael Helms ◽  
Ashok K. Goel

Biologically inspired engineering design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. We have conducted an in situ study of designers engaged in biologically inspired design. Based on this study we develop here a macrocognitive information-processing model of biologically inspired design. We also compare and contrast the model with other information-processing models of analogical design such as TRIZ, case-based design, and design patterns.


2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.


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