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

Author(s):  
Yunhong Gong ◽  
Yanan Sun ◽  
Dezhong Peng ◽  
Peng Chen ◽  
Zhongtai Yan ◽  
...  

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

Author(s):  
Heather Dyke

Perhaps the most important dispute in the metaphysics of time is over the passage of time. There are two basic metaphysical theories of time in this dispute. There is the A-theory of time, according to which the common sense distinction between the past, present and future reflects a real ontological distinction, and time is dynamic: what was future, is now present and will be past. Then there is the B-theory of time, according to which there is no ontological distinction between past, present and future. The fact that we draw this distinction in ordinary life is a reflection of our perspective on temporal reality, rather than a reflection of the nature of time itself. A corollary of denying that there is a distinction between past, present and future is that time is not dynamic in the way just described. The A-theory is also variously referred to as the tensed theory, or the dynamic theory of time. The B-theory is also referred to as the tenseless theory, or the static, or block universe theory of time. The A-theory comes in various forms, which take differing positions on the ontological status granted to the past, present and future. According to some versions, events in the past, present and future are all real, but what distinguishes them is their possession of the property of pastness, presentness or futurity. A variation of this view is that events are less real the more distantly past or future they are. Others hold that only the past and present are real; the future has yet to come into existence. Still others, presentists, hold that only the present is real. Events in the past did exist, but exist no longer, and events in the future will exist, but do not yet exist. According to the B-theory, all events, no matter when they occur, are equally real. The temporal location of an event has no effect on its ontological status, just as the spatial location of an event has no effect on its ontological status, although this analogy is controversial. The A-theory has a greater claim to being the theory that reflects the common sense view about time. Consequently, the burden of proof is often thought to be on the B-theorist. If we are to give up the theory of time most closely aligned with common sense, it is argued, there must be overwhelming reasons for doing so. However, the A-theory is not without its problems. McTaggart put forward an argument that an objective passage of time would be incoherent, so any theory that requires one cannot be true. The A-theory also appears to be, prima facie, inconsistent with the special theory of relativity, a well-confirmed scientific theory. Although the B-theory is less in line with common sense than the A-theory, it is more in line with scientific thinking about time. According to the special theory of relativity, time is but one dimension of a four-dimensional entity called spacetime. The B-theory sees time as very similar to space, so it naturally lends itself to this view. However, it faces the problem of reconciling itself with our ordinary experience of time. Because the two theories about time are mutually exclusive, and are also thought to exhaust the possible range of metaphysical theories of time, arguments in favour of one theory often take the form of arguments against the other theory. If there is a good reason for thinking that the A-theory of time is false, then that is equally a good reason for thinking that the B-theory of time is true, and vice versa.


2007 ◽  
Vol 4 (1) ◽  
pp. 45-49
Author(s):  
Akinobu Kuroda

The common sense of modern times was not always “common” in the past. For example, if it is true that inflation is caused by an oversupply of money, a short supply of money must cause deflation. However logical that sounds, though, it has not been so uncommon in history that rising prices were recognized as being caused by a scarcity of currency. Even in the same period, a common idea prevailing in one historical area was not always common in another; rather, it sometimes appeared in quite the opposite direction. It is likely that the idea that a government gains from bad currencies, while traders appreciate good ones, is popular throughout the world. In the case of China, however, its dynasties sometimes intentionally issued high-quality coins without regard to their losses. East Asia shared the idea that cheap currency harms the state, while an expensive currency harms the people. This is in considerable contrast with a common image in other regions that authorities gained profits from seigniorage.


Author(s):  
Devin Pierce ◽  
Shulan Lu ◽  
Derek Harter

The past decade has witnessed incredible advances in building highly realistic and richly detailed simulated worlds. We readily endorse the common-sense assumption that people will be better equipped for solving real-world problems if they are trained in near-life, even if virtual, scenarios. The past decade has also witnessed a significant increase in our knowledge of how the human body as both sensor and as effector relates to cognition. Evidence shows that our mental representations of the world are constrained by the bodily states present in our moment-to-moment interactions with the world. The current study investigated whether there are differences in how people enact actions in the simulated as opposed to the real world. The current study developed simple parallel task environments and asked participants to perform actions embedded in a stream of continuous events (e.g., cutting a cucumber). The results showed that participants performed actions at a faster speed and came closer to incurring injury to the fingers in the avatar enacting action environment than in the human enacting action environment.


Buildings ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 464
Author(s):  
Dan Guo ◽  
Ming Shan ◽  
Emmanuel Kingsford Owusu

During the past two decades, critical infrastructures (CIs) faced a growing number of challenges worldwide due to natural disasters and other disruptive events. To respond to and handle these disasters and disruptive events, the concept of resilience was introduced to CIs. Particularly, many institutions and scholars developed various types of frameworks to assess and enhance CI resilience. The purpose of this paper is to review the resilience assessment frameworks of the CIs proposed by quality papers published in the past decade, determine and analyze the common dimensions and the key indicators of resilience assessment frameworks of CIs, and propose possible opportunities for future research. To achieve these goals, a comprehensive literature review was conducted, which identified 24 resilience assessment frameworks from 24 quality papers. This paper contributes to the current body of resilience research by identifying the common dimensions and the key indicators of the resilience assessment frameworks proposed for CIs. In addition, this paper is beneficial to the practice, because it provides a comprehensive view of the resilience assessment frameworks of CIs from the perspective of implementation, and the indicators are pragmatic and actionable in practice.


2017 ◽  
Vol 5 (01) ◽  
Author(s):  
Rekha Tripathi

A glimpse of the ancient Indianans and the flourishing of India in ancient times give a glimpse of the whole of flourishing. Puranas are indicative of this irrefutable truth that India was the world famous and reached the peak of metaphysical, athletic and spiritual progress in ancient times. It is believed that the original source of knowledge and religion is Vedas. The glory of the Vedas is immense, but their vocabulary is unbearable and the process of rendering is quite complicated. But the Puranas alone make heart-felt to all the common sense in their simplest terms and with the help of plot style. Therefore, in all places, the Vedas have been agreed to understand through history, mythology. From the word of history, Mahabharata and Valmiki are also known as Ramayana and Yoga Vashastrai Granth. From these mythologies, the scholars of the past have composed many beautiful essays and arrangements, who is also a director of special purposive karma.


Author(s):  
Kai Liu ◽  
Lodewijk Brand ◽  
Hua Wang ◽  
Feiping Nie

Metric Learning, which aims at learning a distance metric for a given data set, plays an important role in measuring the distance or similarity between data objects. Due to its broad usefulness, it has attracted a lot of interest in machine learning and related areas in the past few decades. This paper proposes to learn the distance metric from the side information in the forms of must-links and cannot-links. Given the pairwise constraints, our goal is to learn a Mahalanobis distance that minimizes the ratio of the distances of the data pairs in the must-links to those in the cannot-links. Different from many existing papers that use the traditional squared L2-norm distance, we develop a robust model that is less sensitive to data noise or outliers by using the not-squared L2-norm distance. In our objective, the orthonormal constraint is enforced to avoid degenerate solutions. To solve our objective, we have derived an efficient iterative solution algorithm. We have conducted extensive experiments, which demonstrated the superiority of our method over state-of-the-art.


2020 ◽  
Vol 34 (07) ◽  
pp. 12959-12966
Author(s):  
Pengyu Zhao ◽  
Ansheng You ◽  
Yuanxing Zhang ◽  
Jiaying Liu ◽  
Kaigui Bian ◽  
...  

With the advance of omnidirectional panoramic technology, 360◦ imagery has become increasingly popular in the past few years. To better understand the 360◦ content, many works resort to the 360◦ object detection and various criteria have been proposed to bound the objects and compute the intersection-over-union (IoU) between bounding boxes based on the common equirectangular projection (ERP) or perspective projection (PSP). However, the existing 360◦ criteria are either inaccurate or inefficient for real-world scenarios. In this paper, we introduce a novel spherical criteria for fast and accurate 360◦ object detection, including both spherical bounding boxes and spherical IoU (SphIoU). Based on the spherical criteria, we propose a novel two-stage 360◦ detector, i.e., Reprojection R-CNN, by combining the advantages of both ERP and PSP, yielding efficient and accurate 360◦ object detection. To validate the design of spherical criteria and Reprojection R-CNN, we construct two unbiased synthetic datasets for training and evaluation. Experimental results reveal that compared with the existing criteria, the two-stage detector with spherical criteria achieves the best mAP results under the same inference speed, demonstrating that the spherical criteria can be more suitable for 360◦ object detection. Moreover, Reprojection R-CNN outperforms the previous state-of-the-art methods by over 30% on mAP with competitive speed, which confirms the efficiency and accuracy of the design.


Geophysics ◽  
2019 ◽  
Vol 84 (4) ◽  
pp. V233-V243
Author(s):  
Dingyue Chang ◽  
Cai Zhang ◽  
Tianyue Hu ◽  
Dan Wang

Moveout correction for irregular topography has been a longstanding challenge in processing seismic exploration data. Irregular topography usually results in large moveout among traces, a low signal-to-noise ratio (S/N), and difficulty in modeling near-surface velocities. Conventional normal moveout (NMO) corrections and elevation static methods are imprecise and tend to introduce significant errors for large offsets. Over the past two decades, several multiparameter time corrections and stacking techniques to reduce noise and improve resolution have been proposed in place of the classic NMO and common-midpoint stack. These include the common-reflection-surface (CRS), common-offset CRS, nonhyperbolic CRS, implicit CRS, multifocusing (MF), irregular surface MF (IS-MF), spherical MF (SMF), and common-offset MF methods. Various CRS-type operators that consider the top-surface topography have been proposed. For MF-type operators, only IS-MF can be applied directly to the irregular topography with no elevation statics required. In this study, we have developed a new MF formulation, modifying the SMF method to consider nonzero elevations of sources and receivers and we corrected moveout of nonplanar data directly without prior elevation static corrections. The proposed extension combines the sensitivity to spherical reflectors of SMF with the applicability of the IS-MF method to irregular topography. We investigated the behavior of the new operator using a physical model data set and compared the results with those from the conventional IS-MF method. The results revealed that the new operator is more robust over a wide range of source and receiver elevations and has advantages on strongly curved interfaces. We also confirmed the potential of the proposed approach by comparing stacking results for a real-land data set with a low S/N.


2020 ◽  
Vol 34 (04) ◽  
pp. 6430-6437 ◽  
Author(s):  
Xingyu Wu ◽  
Bingbing Jiang ◽  
Kui Yu ◽  
Huanhuan Chen ◽  
Chunyan Miao

Multi-label feature selection has received considerable attentions during the past decade. However, existing algorithms do not attempt to uncover the underlying causal mechanism, and individually solve different types of variable relationships, ignoring the mutual effects between them. Furthermore, these algorithms lack of interpretability, which can only select features for all labels, but cannot explain the correlation between a selected feature and a certain label. To address these problems, in this paper, we theoretically study the causal relationships in multi-label data, and propose a novel Markov blanket based multi-label causal feature selection (MB-MCF) algorithm. MB-MCF mines the causal mechanism of labels and features first, to obtain a complete representation of information about labels. Based on the causal relationships, MB-MCF then selects predictive features and simultaneously distinguishes common features shared by multiple labels and label-specific features owned by single labels. Experiments on real-world data sets validate that MB-MCF could automatically determine the number of selected features and simultaneously achieve the best performance compared with state-of-the-art methods. An experiment in Emotions data set further demonstrates the interpretability of MB-MCF.


2011 ◽  
Vol 36 (2) ◽  
pp. 102-116
Author(s):  
JEAN GRAHAM-JONES

This article probes some of the ‘catches’ in the universal application of the common-sense word ‘censorship’. To do so, it scrutinizes the application of the Spanish-language termcensurato theatre produced in Buenos Aires and its working-class suburbs in the past thirty-five years, under dictatorship as well as democracy, through the examination of specific cases of productions and plays classified as censored, self-censored, and/or counter-censorial. The article concludes by examining two plays whose writing pre-dates the last dictatorship but which are still considered illustrative of a certain kind of Argentinian censorship. Through these various examples drawn from Argentinian theatrical practice, the article exposes censorship as a problematic category when applied equally at all times.


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