The State of Sex Crimes in the Late Joseon Period Seen through the Adaptation of Real Life CRIMES in Classic Literature

J-Institute ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 1-6
Author(s):  
Su-hyun Choi ◽  
Keyword(s):  
Real Life ◽  
The State ◽  
Sex Crimes ◽  
Classic Literature

scholarly journals Constructing the Localization of Marxism in Teaching

2020 ◽  
Vol 9 (3) ◽  
pp. 69
Author(s):  
Chufang Hu
Keyword(s):  
Real Life ◽  
The State ◽  
Human Society ◽  
Chinese People ◽  
Specific Time ◽  
New Era ◽  
Time Specific ◽  
Chinese Modernization

<p>The production of any kind of theory has its special and specific environment. Therefore, although truth can be universally applicable, it also needs to be associated with specific time, specific events, and specific environments in the process of combining it with practice, so that the truth can fully spread its wisdom, guide real life, and guide human society to develop scientifically and orderly. Based on the premise of fully understanding Marxism, this paper explores the localization of constructing Marxism in teaching based on the state of China. It proposes that it is necessary to fully integrate China's actual national conditions and realize the localization of Marxism in teaching from Chinese modernization, popularization, <em>etc.</em> in the new era, so as to fully integrate Marxism in China's new era of socialist construction, so that the Chinese people can get a sense of happiness in the localization of Marxism beliefs.</p>

scholarly journals A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based Approach

2021 ◽  
Vol 11 (17) ◽  
pp. 8074
Author(s):  
Tierui Zou ◽  
Nader Aljohani ◽  
Keerthiraj Nagaraj ◽  
Sheng Zou ◽  
Cody Ruben ◽  
...  
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
State Of The Art ◽  
Real Life ◽  
The State ◽  
Wide Area ◽  
Network Parameter ◽  
False Data Injection ◽  
Network Parameters ◽  
Injection Attacks

Concerning power systems, real-time monitoring of cyber–physical security, false data injection attacks on wide-area measurements are of major concern. However, the database of the network parameters is just as crucial to the state estimation process. Maintaining the accuracy of the system model is the other part of the equation, since almost all applications in power systems heavily depend on the state estimator outputs. While much effort has been given to measurements of false data injection attacks, seldom reported work is found on the broad theme of false data injection on the database of network parameters. State-of-the-art physics-based model solutions correct false data injection on network parameter database considering only available wide-area measurements. In addition, deterministic models are used for correction. In this paper, an overdetermined physics-based parameter false data injection correction model is presented. The overdetermined model uses a parameter database correction Jacobian matrix and a Taylor series expansion approximation. The method further applies the concept of synthetic measurements, which refers to measurements that do not exist in the real-life system. A machine learning linear regression-based model for measurement prediction is integrated in the framework through deriving weights for synthetic measurements creation. Validation of the presented model is performed on the IEEE 118-bus system. Numerical results show that the approximation error is lower than the state-of-the-art, while providing robustness to the correction process. Easy-to-implement model on the classical weighted-least-squares solution, highlights real-life implementation potential aspects.

The International Defense of Liberty

1985 ◽  
Vol 3 (1) ◽  
pp. 27-42
Author(s):  
Baruch A. Brody
Keyword(s):  
Use Of Force ◽  
Real Life ◽  
The State ◽  
Human Freedom ◽  
The World ◽  
The Right

It seems to me that those who place great value on the right to human freedom can be badly divided on the question of the use of force by states to defend the liberties of those who are not citizens of that particular state. Concerned about the liberties to be defended, they might be enthusiastic supporters of the use of such force by liberty-loving countries throughout the world. Concerned about the liberties that might be violated when the state marshals its forces for use internationally, they might adopt a more isolationist approach to this issue. This paper is an attempt to help clarify this conflict by looking at some of the philosophical issues it raises. Because I wish to avoid factual debates about current conflicts, I will give no real-life examples. However, they are on my mind, and I hope the reader will keep them in mind as well.

A Study of the State of the Art in Synthetic Emotional Intelligence in Affective Computing

2020 ◽  
pp. 1199-1212
Author(s):  
Syeda Erfana Zohora ◽  
A. M. Khan ◽  
Arvind K. Srivastava ◽  
Nhu Gia Nguyen ◽  
Nilanjan Dey
Keyword(s):  
Emotional Intelligence ◽  
Affective Computing ◽  
Ethical Issues ◽  
State Of The Art ◽  
Real Life ◽  
Life Time ◽  
The State ◽  
Point Of View ◽  
General Idea ◽  
Tremendous Amount

In the last few decades there has been a tremendous amount of research on synthetic emotional intelligence related to affective computing that has significantly advanced from the technological point of view that refers to academic studies, systematic learning and developing knowledge and affective technology to a extensive area of real life time systems coupled with their applications. The objective of this paper is to present a general idea on the area of emotional intelligence in affective computing. The overview of the state of the art in emotional intelligence comprises of basic definitions and terminology, a study of current technological scenario. The paper also proposes research activities with a detailed study of ethical issues, challenges with importance on affective computing. Lastly, we present a broad area of applications such as interactive learning emotional systems, modeling emotional agents with an intention of employing these agents in human computer interactions as well as in education.

scholarly journals Management of COPD within the Brazilian Unified Health Care System in the state of Bahia: an analysis of real-life medication use patterns

2019 ◽  
Vol 45 (1) ◽  
Author(s):  
Charleston Ribeiro Pinto ◽  
Antônio Carlos Moreira Lemos ◽  
Lindemberg Assunção-Costa ◽  
Aramis Tupiná de Alcântara ◽  
Laira Lorena Lima Yamamura ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Pharmacological Treatment ◽  
Real Life ◽  
The State ◽  
Public Health Care ◽  
Cross Sectional ◽  
Long Acting ◽  
Severe Copd ◽  
Care System

ABSTRACT Objective: To describe COPD pharmacological treatment patterns in the state of Bahia, Brazil, and to evaluate the extent to which these patterns conform to clinical guidelines for the management of COPD. Methods: This was a cross-sectional study of 441 patients referred from the Public Health Care Network of the state of Bahia to a public referral outpatient clinic of a COPD management program of the Brazilian Unified Health Care System. Individuals with a spirometry-confirmed diagnosis of moderate to very severe COPD were included in the study. Patients were evaluated as to whether they had used any COPD medications in the last seven days. The appropriateness or inappropriateness (undertreatment or overtreatment) of the patient’s pharmacological treatment was evaluated by comparing the patient’s current treatment with that recommended by national and international guidelines. Results: A total of 383 individuals were included in the analysis. Approximately half of the patients (49.1%) used long-acting bronchodilators. These patients were older and had had the disease longer. Of the sample as a whole, 63.7% and 83.0% did not receive pharmacological treatment in accordance with international and national recommendations, respectively. Inappropriateness due to undertreatment was indentified in more than half of the patients. Conclusions: Long-acting bronchodilators are frequently underused in individuals with moderate to very severe COPD within the Brazilian Unified Health Care System in the state of Bahia. Most patients in our sample were treated inappropriately, and undertreatment predominated. Strategies to improve access to long-acting bronchodilators and the quality of COPD pharmacological management are required.

LIGHT SCATTERING TECHNIQUES FOR DISCRIMINATING BETWEEN OIL AND PARTICULATES IN CONTAMINATED WATER

1977 ◽  
Vol 1977 (1) ◽  
pp. 153-156 ◽  
Author(s):  
Bruce Friedman
Keyword(s):  
Particulate Matter ◽  
Light Scattering ◽  
Intensity Distribution ◽  
Scattered Light ◽  
Incident Light ◽  
Real Life ◽  
The State ◽  
Oil Droplets ◽  
State Of Polarization

ABSTRACT Light scattering techniques are used in several oil-in-water monitors, proposed or in existence. Particulate matter which may interfere with these monitors is also frequently found in oily wastes. An analysis is made of the potential of using measurements of the angular intensity distribution of scattered light in conjunction with determination of the state of polarization of the scattered light for discriminating between oil and particulates. The size conditions which apply to the oil droplets and particulates relative to the incident light allow the scattered light angular intensity distribution to be treated as a consequence of a combination of classical diffraction and of geometrical refraction and reflection. The state of polarization of the scattered light for oil droplets is investigated using expressions for the electric field which are approximations to the expressions of the Mie theory. For the particulate matter, the state of polarization is probed on the basis of light reflected from a plane. It is found that it would be difficult to discriminate between oil and particulates using measurements of the angular intensity distribution of scattered light even in conjunction with the determination of the state of polarization of the scattered light in a real life situation.

scholarly journals Upper Bounds on Performance Measures of Heterogeneous Queues

2011 ◽  
Vol 2011 ◽  
pp. 1-18 ◽  
Author(s):  
F. S. Q. Alves ◽  
H. C. Yehia ◽  
L. A. C. Pedrosa ◽  
F. R. B. Cruz ◽  
Laoucine Kerbache
Keyword(s):  
State Space ◽  
Performance Measures ◽  
Queueing Systems ◽  
Real Life ◽  
Upper Bounds ◽  
The State ◽  
Actual Behavior ◽  
Single Class ◽  
Simple Method

In many real-life queueing systems, the servers are often heterogeneous, namely they work at different rates. This paper provides a simple method to compute tight upper bounds on two important performance measures of single-class heterogeneous multi-server Markovian queueing systems, namely the average number in queue and the average waiting time in queue. This method is based on an expansion of the state space that is followed by an approximate reduction of the state space, only considering the most probable states. In most cases tested, we were able to approximate the actual behavior of the system with smaller errors than those obtained from traditional homogeneous multiserver Markovian queues, as shown by GPSS simulations. In addition, we have correlated the quality of the approximation with the degree of heterogeneity of the system, which was evaluated using its Gini index. Finally, we have shown that the bounds are robust and still useful, even considering quite different allocation strategies. A large number of simulation results show the accuracy of the proposed method that is better than that of classical homogeneous multiserver Markovian formulae in many situations.

scholarly journals Modern Applications and Challenges for Rare Itemset Mining

2021 ◽  
Vol 11 (3) ◽  
pp. 208-218
Author(s):  
Sadeq Darrab ◽  
◽  
David Broneske ◽  
Gunter Saake
Keyword(s):  
Data Mining ◽  
Real Life ◽  
The State ◽  
Frequent Itemset ◽  
Future Research ◽  
Comprehensive Overview ◽  
Itemset Mining ◽  
Equipment Failures ◽  
Mining Algorithms ◽  
Rare Itemsets

Data mining is the process of extracting useful unknown knowledge from large datasets. Frequent itemset mining is the fundamental task of data mining that aims at discovering interesting itemsets that frequently appear together in a dataset. However, mining infrequent (rare) itemsets may be more interesting in many real-life applications such as predicting telecommunication equipment failures, genetics, medical diagnosis, or anomaly detection. In this paper, we survey up-to-date methods of rare itemset mining. The main goal of this survey is to provide a comprehensive overview of the state-of-the-art algorithms of rare itemset mining and its applications. The main contributions of this survey can be summarized as follows. In the first part, we define the task of rare itemset mining by explaining key concepts and terminology, motivation examples, and comparisons with underlying concepts. Then, we highlight the state-of-art methods for rare itemsets mining. Furthermore, we present variations of the task of rare itemset mining to discuss limitations of traditional rare itemset mining algorithms. After that, we highlight the fundamental applications of rare itemset mining. In the last, we point out research opportunities and challenges for rare itemset mining for future research.

scholarly journals The Revivalism of Veiled Female Students: An Account of Their Views of Democracy in Indonesia

2019 ◽  
Vol 9 (2) ◽  
pp. 380-406
Author(s):  
Iswahyudi Iswahyudi ◽  
Udin Safala ◽  
Umi Kulsum
Keyword(s):  
Real Life ◽  
Phenomenological Approach ◽  
Female Students ◽  
The State ◽  
Learning Activities ◽  
Positive View ◽  
The Real ◽  
Practical Matter ◽  
Religious Colleges ◽  
Islamic Revivalism

The issue of veiled female students has become a polemic, especially among the State Islamic Religious Colleges (PTKIN) in Indonesia. This has been caused, among others, not only by the fact that the issue of wearing veil for female students obstructs the process of learning activities, but it is also viewed as a sign of Islamic revivalism. In this context, Islamic revivalism is considered a barrier to Islamic moderatism promulgated by the state and the PTKIN. Nonetheless, excessive concern about revivalism is not always true. Azyumardi Azra once argued that revivalism does not always lead to radicalism and destructive matters. He calls it as “inward-oriented” revivalism, which is a form of personal religiosity in practicing religion and living it. This article attempts to examine the revivalism of the veiled female students based on their views of democracy in Indonesia. Employing the phenomenological approach, this study finds that the veiled female students hold a positive view of democracy in Indonesia as a means of welfare creation for society. They, however, assert that democracy in Indonesia should be rejuvenated. To them, democracy is not only a concept, but it is also a practical matter which must be present in the real-life of the Indonesian people. This view demonstrates inward-oriented revivalism, not the radical-destructive one.

scholarly journals All-fiber tribo-ferroelectric synergistic electronics with high thermal-moisture stability and comfortability

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Weifeng Yang ◽  
Wei Gong ◽  
Chengyi Hou ◽  
Yun Su ◽  
Yinben Guo ◽  
...  
Keyword(s):  
Peak Power ◽  
State Of The Art ◽  
Real Life ◽  
Low Frequency ◽  
The State ◽  
Electrical Performance ◽  
Life Situation ◽  
Hierarchical Networks ◽  
Real Life Situation ◽  
Low Frequency Motion

AbstractDeveloping fabric-based electronics with good wearability is undoubtedly an urgent demand for wearable technologies. Although the state-of-the-art fabric-based wearable devices have shown unique advantages in the field of e-textiles, further efforts should be made before achieving “electronic clothing” due to the hard challenge of optimally unifying both promising electrical performance and comfortability in single device. Here, we report an all-fiber tribo-ferroelectric synergistic e-textile with outstanding thermal-moisture comfortability. Owing to a tribo-ferroelectric synergistic effect introduced by ferroelectric polymer nanofibers, the maximum peak power density of the e-textile reaches 5.2 W m−2 under low frequency motion, which is 7 times that of the state-of-the-art breathable triboelectric textiles. Electronic nanofiber materials form hierarchical networks in the e-textile hence lead to moisture wicking, which contributes to outstanding thermal-moisture comfortability of the e-textile. The all-fiber electronics is reliable in complicated real-life situation. Therefore, it is an idea prototypical example for electronic clothing.

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