scholarly journals Changing of the Guard: Expert Knowledge and ‘Common Sense’ in the Doha Development Agenda

2012 ◽  
Author(s):  
James Scott ◽  
Rorden Wilkinson
Keyword(s):  
Common Sense ◽  
Expert Knowledge ◽  
Development Agenda

scholarly journals Analyze COVID-19 CT images based on evolutionary algorithm with dynamic searching space

2021 ◽  
Author(s):  
Yunhong Gong ◽  
Yanan Sun ◽  
Dezhong Peng ◽  
Peng Chen ◽  
Zhongtai Yan ◽  
...  
Keyword(s):  
Common Sense ◽  
Expert Knowledge ◽  
State Of The Art ◽  
Data Set ◽  
The Past ◽  
Computed Tomography Images ◽  
Intensive Use ◽  
Hospital Resources ◽  
The Common ◽  
Ct Data

AbstractThe COVID-19 pandemic has caused a global alarm. With the advances in artificial intelligence, the COVID-19 testing capabilities have been greatly expanded, and hospital resources are significantly alleviated. Over the past years, computer vision researches have focused on convolutional neural networks (CNNs), which can significantly improve image analysis ability. However, CNN architectures are usually manually designed with rich expertise that is scarce in practice. Evolutionary algorithms (EAs) can automatically search for the proper CNN architectures and voluntarily optimize the related hyperparameters. The networks searched by EAs can be used to effectively process COVID-19 computed tomography images without expert knowledge and manual setup. In this paper, we propose a novel EA-based algorithm with a dynamic searching space to design the optimal CNN architectures for diagnosing COVID-19 before the pathogenic test. The experiments are performed on the COVID-CT data set against a series of state-of-the-art CNN models. The experiments demonstrate that the architecture searched by the proposed EA-based algorithm achieves the best performance yet without any preprocessing operations. Furthermore, we found through experimentation that the intensive use of batch normalization may deteriorate the performance. This contrasts with the common sense approach of manually designing CNN architectures and will help the related experts in handcrafting CNN models to achieve the best performance without any preprocessing operations

scholarly journals Społeczna konstrukcja ryzyka technologicznego

2009 ◽  
Vol 53 (1) ◽  
pp. 45-67
Author(s):  
Magdalena Gadomska
Keyword(s):  
Economic Development ◽  
Common Sense ◽  
Scientific Knowledge ◽  
Expert Knowledge ◽  
Modern Technology ◽  
Social Representation ◽  
Social Functions ◽  
Technological Risk ◽  
Socio Economic Development ◽  
Modern Technologies

The decisions concerning post-modern technologies, which have many good and bad (and often hardly predictable) consequences that modify our world, involve difficult scientific, political and axiological questions. The management of technological risk ever more frequently leads to social conflicts where expert knowledge clashes with (not always manifested) preferences regarding the desirable socio-economic development of our world. These “technological conflicts”, being an area where the legitimization of both science and authority are questioned, create, nevertheless, the platform for the solution of this crisis. The article reviews the range of sociological problems related to the management and communication of technological risk as well as to its social representation (both in the form of common-sense and scientific knowledge). It also indicates the trans-disciplinary and philosophical dimensions of this issue and stresses the importance and social functions of the democratic debate on the risk and advantages of post-modern technology and their governance.

scholarly journals Combining Earth Observations, Cloud Computing, and Expert Knowledge to Inform National Level Degradation Assessments in Support of the 2030 Development Agenda

2019 ◽  
Vol 11 (24) ◽  
pp. 2918 ◽  
Author(s):  
Ingrid Teich ◽  
Mariano Gonzalez Roglich ◽  
María Laura Corso ◽  
César Luis García
Keyword(s):  
Cloud Computing ◽  
Land Degradation ◽  
Expert Knowledge ◽  
National Level ◽  
Assessment Process ◽  
Alternative Methods ◽  
Land Productivity ◽  
Development Agenda ◽  
Productivity Trend ◽  
The One

Monitoring progress towards the 2030 Development Agenda requires the combination of traditional and new data sources in innovative workflows to maximize the generation of relevant information. We present the results of a participatory and data-driven land degradation assessment process at a national scale, which includes use of earth observation (EO) data, cloud computing, and expert knowledge for Argentina. Six different primary productivity trend maps were produced from a time series of the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset (2000–2018), including the most widely used trajectory approach and five alternative methods, which include information on the timing and magnitude of the changes. To identify the land productivity trend map which best represented ground conditions, an online application was developed, allowing 190 experts to choose the most representative result for their region of expertise nationwide. Additionally, the ability to detect decreases in land productivity of each method was assessed in 43,614 plots where deforestation had been recorded. The widely used trajectory indicator was the one selected by most experts as better reflecting changes in land condition. When comparing indicators’ performance to identify deforestation-driven reductions in productivity, the Step-Wise Approach Trend Index (SWATI), which integrates short- and long-term trends, was the one which performed the best. On average, decreases of land productivity indicate that 20% of the Argentine territory has experienced degradation processes between 2000 and 2018. The participatory data generation and verification workflow developed and tested here represents an innovative low cost, simple, and fast way to validate maps of vegetation trends and other EO-derived indicators, supporting the monitoring of progress towards land degradation neutrality by 2030.

Common Sense Liposuction Tips

2005 ◽  
Vol 36 (4) ◽  
pp. 19
Author(s):  
Nancy Walsh
Keyword(s):  
Common Sense

Common Sense

2011 ◽  
Author(s):  
Thomas Paine
Keyword(s):  
Common Sense

“The Teacher Who had the Greatest Influence on My Thinking”

2008 ◽  
Vol 39 (3) ◽  
pp. 141-150 ◽  
Author(s):  
Rainer Reisenzein ◽  
Irina Mchitarjan
Keyword(s):  
Social Psychology ◽  
Common Sense ◽  
Interpersonal Relations ◽  
Responsibility Attribution ◽  
Alexius Meinong ◽  
Theory Of Value ◽  
Psychological Inquiry ◽  
Academic Teacher ◽  
Common Sense Psychology

According to Heider, some of his ideas about common-sense psychology presented in The Psychology of Interpersonal Relations ( Heider, 1958 ) originally came from his academic teacher, Alexius Meinong. However, Heider makes no reference to Meinong in his book. To clarify Meinong’s influence on Heider, we compare Heider’s explication of common-sense psychology with Meinong’s writings, in particular those on ethics. Our results confirm that Heider’s common-sense psychology is informed by Meinong’s psychological analyses in several respects: Heider adopts aspects of Meinong’s theory of emotion, his theory of value, and his theory of responsibility attribution. In addition, Heider more or less continues Meinong’s method of psychological inquiry. Thus, even without Meinong’s name attached, many aspects of Meinong’s psychology found their way into today’s social psychology via Heider. Unknowingly, some of us have been Meinongians all along.

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