Reviewerly/exHarmony huggingface dataset:
장정불(蔣廷黻) 『중국근대사(中國近代史)』(1938)의 재검토

This paper examines the perspectives, narratives, and arguments in the Chinese Modern History(1938) by Jiang Tingfu(1896-1965), a Chinese historian and diplomat. By doing so, I would like to explore problems such as how this book, which has many limitations, can be read from the perspective of today and what this book can mean if it is still meaningful today. This book was written in a specific political situation as a high-ranking bureaucrat within the Nanjing Nationalist Government right after the outbreak of the Sino-Japanese War. Containing a clear perspective and message, and thus very controversial, this book, although it drew much attention since its publication, has been virtually forgotten in mainland China since the establishment of the People''s Republic of China. However after Post Mao China, this book has been reevaluated in the process of seeking the possibility of a new historical interpretation to more adequately explain the changed reality along with the decline of the socialist revolutionary ideology and the rise of China as s G2 superpower. This article was developed in the manner of a detailed review of Jiang Tingfu''s book, and the narrative structure of his book was reviewed in three aspects: modernization, nationalism, and literati culture. As a result, it can be seen that this book provides a wealth of thought in the arena of today''s history education and in relation to narrative strategies that drive readers’ perception of history. By relying on his problem consciousness and perspective raised by this book, we can use it as an opportunity to newly reflect on the old issues of the study of modern Chinese history.
Weakly Private Information Retrieval Under Rényi Divergence

Private information retrieval (PIR) is a protocol that guarantees the privacy of a user who is in communication with databases. The user wants to download one of the messages stored in the databases while hiding the identity of the desired message. Recently, the benefits that can be obtained by weakening the privacy requirement have been studied, but the definition of weak privacy needs to be elaborated upon. In this paper, we attempt to quantify the weak privacy (i.e., information leakage) in PIR problems by using the R\'enyi divergence that generalizes the Kullback-Leibler divergence. By introducing R\'enyi divergence into the existing PIR problem, the tradeoff relationship between privacy (information leakage) and PIR performance (download cost) is characterized via convex optimization. Furthermore, we propose an alternative PIR scheme with smaller message sizes than the Tian-Sun-Chen (TSC) scheme. The proposed scheme cannot achieve the PIR capacity of perfect privacy since the message size of the TSC scheme is the minimum to achieve the PIR capacity. However, we show that the proposed scheme can be better than the TSC scheme in the weakly PIR setting, especially under a low download cost regime.
Library Guides: Gale Digital Scholars Lab: an introduction: Methods on offer

A brief survey of offerings from the Gale Digital Scholarship Lab for Penn State researchers
PENDEKATAN NARATIF PADA DOKUMENTER “KAMPUNG LAYANG - LAYANG” SEBAGAI POTRET KEARIFAN LOKAL DESA CIPACING KABUPATEN SUMEDANG

Cipacing Village is a village in the Jatinangor District Area. The location is in the northwestern part of the Jatinangor District Area and directly adjacent to the Bandung Regency area in the village of Cileunyi Wetan. The area is passed by the national road that connects the city of Bandung with the Garut or Tasik malaya regions.In the current era of globalization, which is marked by the rapid development of science and technology, competition in various fields can affect the existence of a company, so that it encourages each company to think of the steps that must be taken to maintain its existence.At present the craftsmen and kite entrepreneurs in Cipacing Village have decreased, various aspects which have influenced the declining number of craftsmen, such as youth in Cipacing Village are no longer interested in becoming craftsmen, also the difficulty of raw materials and the waning of children's interest in traditional games.Children are now more interested in modern games such as online games, Playstation, and gadgets.With the documentary film THE KITE VILLAGE  it is expected to be able to provide an understanding for the audience to be more concerned with traditional games and still preserve them. The creator as producer packs this documentary show using a narrative approach, then the storyteller in this documentary is a statement from the resource person. And in the end, this documentary work is expected to be able to be an inspiration for people who have similar problems in other areas.
Fenomena Maraknya Wisata Syariah di Jawa Tengah

The purpose of this research explains whether the Great Mosque of Central Java has met the criteria as a sharia tourism organizer. The concept of Sharia tourism is the actualization of the concept to Islam where halal and haram values become the main benchmark. The author uses a type of field research with descriptive qualitative methods to look for field data in the form of words and images. The author interviews the manager of the Great Mosque of Central Java to obtain information and overview directly. Nowadays, Mosque is not only a place of worship for Muslims but also a multifunctional place such as an interesting place to travel, the beauty of architecture and history become an attraction in the community in his visit to the Mosque that has a magnificent history and architecture story. Central Java Grand Mosque in Semarang city is a mosque that organizes sharia-based tourism, has many facilities that fit the criteria as a sharia-based tourist attraction. Many objects can be visited when coming to the Great Mosque of Central Java which of course has strict regulations for visitors who come to stay in sharia corridors in the implementation as a tourist attraction. By considering 3 (three) elements, namely Access, attractions, and facilities, the Great Mosque of Central Java meets the criteria as an organizer of sharia-based tourist attractions.
Application of An Improved Deviation Analysis of Double Mean Data in Student’S Teaching Evaluation Data

This paper analyzes the main problems of College Students’ evaluation of teaching, and proposes a new method to analyze and process the evaluation data. In this paper, we first use the deviation analysis of double mean data method. Through numerical examples, we find an advantage of this method that it can effectively eliminate invalid data in the teaching evaluation data, but the result has a certain deviation from the original teaching evaluation data, and can not directly reflect the specific gap between different teachers or define the maximum and minimum of the teaching evaluation score. In order to objectively reflect the effects of teachers’ classroom teaching, we make a little improvement on the basis of this method in this paper, and give each student a certain weight, so as to get a more real and effective comprehensive evaluation score of each teacher. Numerical examples are given to compare the results of the two methods, and the improved method of deviation analysis of double mean data is more reasonable and effective.
Integrated professional training of the music teacher by means of innovative artistic and pedagogical technologies

The aim of the research was to study features of integrated professional training of the music teacher by means of innovative artistic and pedagogical technologies. The results demonstrate the main features of the use of innovative artistic and pedagogical technologies in a pandemic: 1) the transition to information and communication means of communication and limited consultations in various disciplines; 2) independent processing of educational materials, which negatively affects practical skills of students; 3) electronic reporting is the most common form of control over the work of future music teachers; 4) partner innovative artistic and pedagogical technologies of vocational training are poorly integrated into the practice of teaching at the university; 5) the frequency of use of artistic and integrative tools is reduced due to the predominance of independent work of music teachers; 6) interactive tools of innovative artistic and pedagogical technologies are used to a lesser extent in the educational process.
An Experimental Study to Understand How Users Choose Password

End-users share various personal information with different types of websites such as governmental, social networking, or educational websites. Websites vary in importance to the user and sensitivity of the information they involved about users. The password is the access key to the user account on websites and the first defense against unauthorized access. Previous studies mostly focused on the strength and weaknesses of passwords. This paper focuses on the passwords and the password’s relevance to the website’s sensitivity based on the type of information shared on them. A survey and think-aloud experiment, and post-interview are conducted in our laboratory. The participants were asked to create passwords to register on three different websites while thinking aloud so experimenters can prove and reject some hypotheses. The study’s results confirm that the importance of a website affects users’ behaviors and passwords.
InfoGuides: Leganto - Course Reserves: Adding Items to Your Reading Lists

Instruction and guidance for Faculty and Staff for using Leganto in Blackboard to manage their e-reserves
영어 교육 ESP 부문에서의 EST 분야 수업 설계 및 운영

With the era of globalization and the 4th industrial revolution upon us, the industrial sector has expanded the range of its own influence not only in many nations but also in various regions. In order to keep pace with these trends, English teaching methods that have been embraced by most universities in Korea are now facing fundamental problems. Several educational experts pointed out various deficiencies because they believed that traditional teaching methods could not nurture properly trained human resources with qualified talents. First of all, I maintain that it is necessary to find a new way of teaching and encouraging students which can allow them to actively check the level of appropriateness of their developmental learning process. With the advent of the Flip learning method and the MOOC system, it has become possible for a student to be exposed to the process of finding one’s own learning process and customizing the direction of learning. These new methods can also serve as the basis for developing the potential to allow students to keep abreast of the transformations occurring in society as it transitions to the future. In this sense, I think another blueprint for English education is urgently needed that reflects the new course operation system to which Flip learning and MOOC adhere. Thus, in this paper, I propose the FLMR model approach integrating the two methods, and attempt to find the most effective English teaching method that simultaneously covers the areas of humanities and science. Moreover, I am confident that the model can provide an important foundation for EST education and a new direction in English classrooms because it reflects not only the properties of humanities majors, but also those of science-related fields, without leaning to heavily in the direction of EAP, which used to be the bedrock for English classes in the past.
Data Cluster Mapping Of Global COVID-19 Pandemic Based On Geo-Location

The spread of the COVID-19 virus pandemic is very fast, where was start of the virus spreading from Wuhan City, Hubei Province, China and suddenly spread out widely to almost around the word. According that kind of pandemic phenomena, this research was conducted to make clustering based on data of latitude and longitude due global spreading of COVID-19 use DBSCAN (Density-Based Spatial Clustering Of Applications With Noise) and K-Means to find a level accurate and suitable in calculating for this pandemic case as the alternative choices for condition analyse in decision making purpose. The algorithm had developed calculate based on characterization from geolocation of the country which is to determine the number quality of cluster use Silhoutte Coefficient and Elbow Methods. Therefore, from calculated results can be analyse similarity of COVID-19 spreading pattern refer to clustering in each province or country. From data testing show that DBSCAN method separate the data of noise points with eps=22 and minimum pts=4, and for K-Means method with k = 3. After calculation by use the two methods, finally, can visualize the mapping cluster continent of Asia, Europe and Africa with showing the pattern of increasing COVID19 cases that can began controlled. The other result show cluster for continent of north and South America have increased significant and the Australian Continent cluster gets the lowest case and can controlled.
LINEAR AND NONLINEAR METHOD BASED DESIGN OF DATA FUSION ALGORITHMS FOR ADVANCED DRIVER ASSISTANT SYSTEMS

Data fusion can be defined as the processes of combining different types of sensor data into a common data type. Multisensor data fusion refers to the synergistic combination of sensory data from multiple sensors to provide reliable and accurate information. The challenge is how such huge data which is independently diverse can be fused. Hence there is a necessity for sophisticated and efficient data fusion techniques. Various approaches to address this problem have been found in literature and can be categorized broadly as a statistical method, generic Bayesian filter, and its derived filters, AI, deep learning, etc. In this paper, two different approaches and techniques to address the problem of sensor data fusion are presented and their comparative analysis is shown. Data fusion algorithms using a generic linear method (Kalman filter) and a nonlinear method (extended Kalman filter) have been designed in this work. Further, the challenges in a fusion of a variety of data, measured by different sensors, are addressed considering multiple-sensor-based autonomous vehicles as the application area for the current work.
Handwriting Variation In Urdu And English Language Using Cnn

Handwriting Recognition Is The Automatic Transcription Of Handwriting, Where Only The Image Of The Handwriting Is Available. Manual Matching Shall Be Used By Banks For The Authentication Of Checks And Signatures. In Forensics, Handwriting Corresponding Algorithms Can Help Handwriting Analysts To Predict The Author With Greater Precision. This Handwriting Needs To Be Scanned To The Computer For The Handwriting Recognition System To Access It And Analyze It Consequently. A Variety Of Handwriting Applications, Including Transcription Papers, Mail Routing, And Processor Forms, Checks, And Faxes, May Be Envisaged. Several Applications Are Also Possible. The Extensive Research Effort Concentrated On The Field Of Character Recognition (Cr), Due Both To Its Possible Applications And To The Difficulties Involved In Simulating Human Reading. The New Offline Handwritten Recognition (Ohr) Is Designed For Both Urdu And English. It Mainly Focuses On The Removal Of Noises In Word, Character Segmentation Methods With Higher Recognition Rate. The Images Which Are Scanned May Contain Noises And Image Denoising Steps Consist Of Binarization, Noise Elimination, And Size Normalization. Words And Character Segmentation Are Performed By Using Particle Swarm Optimization (Pso) Algorithm. Then Those Segmented Samples Are Used For The Next Step Which Is Feature Extraction. Finally, Word Recognition Is Performed By Using The Deep Neural Network Classifier.
A Smart Wheelchair for Health Care Systems

In recent times, the use of robotics has increased to a very large extent. We see this robotics in each and every field and knowingly or unknowingly depend on them. The ideology behind this paper is how movement of wheelchair can be controlled by hand gestures. It consists of an accelerometer which is responsible for the handling of the chair. It is a device which takes the movement of hand as an input based on the angular displacement and the data from the hand gesture is transmitted to the motor driver IC over a RF link (RF Transmitter - Receiver pair). The data from the accelerometer is processed by an Arduino and then transmitted to the receiver end and then the command is executed.
Tethys Belt in the Anatolia-Caucasus-Black Sea Region: Basins, Magmatic Arcs, Ophiolites, and LIPs

&amp;lt;p&amp;gt;We interpret the paleotectonic evolution and structure in the Tethyan belt by analyzing magnetic data sensitive to the presence of iron-rich minerals in oceanic fragments and mafic intrusions, hidden beneath sedimentary sequences or overprinted by younger tectono-magmatic events. By comparing the depth to magnetic basement (DMB) as a proxy for sedimentary thickness with average crustal magnetic susceptibility (ACMS), we conclude:&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;(1) Major ocean and platform basins have DMB &amp;gt;10 km. Trapped ocean relics may be present below Central Anatolian micro-basins with DMB at 6-8 km and high ACSM.&amp;amp;#160; In intra-orogenic basins, we identify magmatic material within the sedimentary cover by significantly smaller DMB than depth to seismic basement.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(2) Known magmatic arcs (Pontides and Urima-Dokhtar) have high-intensity heterogeneous ACMS. We identify a 450 km-long buried (DMB &amp;gt;6 km) magmatic arc or trapped oceanic crust along the western margin of the Kir&amp;amp;#351;eh&amp;amp;#305;r massif from a strong ACMS anomaly. Large, partially buried magmatic bodies form the Caucasus LIP at the Transcaucasus and Lesser Caucasus and in NW Iran.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(3) Terranes of Gondwana affinity in the Arabian plate, S Anatolia and SW Iran have low-intensity homogenous ACMS.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(4) Local poor correlation between known ophiolites and ACMS anomalies indicate a small volume of presently magnetized material in the Tethyan ophiolites, which we explain by demagnetization during recent magmatism.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(5) ACMS anomalies are weak at tectonic boundaries and faults. However, the Cyprus subduction zone has a strong magnetic signature which extends ca. 500 km into the Arabian plate.&amp;lt;/p&amp;gt;
Evaluación y selección de herramientas libres de arquitectura empresarial, un enfoque multicriterio

This paper presents the evaluation and selection of free Enterprise Architecture tools according to their contribution to enterprise performance in the environment of public entities. In this regard, the Gartner and Forrester methodologies for evaluating Enterprise Architecture software and the multicriterial evaluation methods Electre, Promethee, PRESS II, MacBeth, NAIADE are identified and analyzed. As a key result, a procedure based on the PRESS II method was obtained. Using PRESS II method, an index is obtained for each alternative evaluated. This index represents the level of dominance of each alternative. In this context, Archi tool was selected as the “best alternative”.  Archi provide a comprehensive solution for organizations that are looking to support their processes, business aligning IT with free EA tools, demonstrating their added value in performance improvement in the public entities.
형태 분석을 위한 메신저 텍스트 처리 방안

This study presents a methodology that facilitates UGC morphological analysis by normalizing non-standard texts, and shows that the performance of existing NLP tools can be improved through it. The KakaoTalk messenger texts were morphologically analyzed using Utagger and their error rates were checked over a total of three steps. In order to increase the accuracy of morphological analysis, it is necessary to grasp the characteristics of the messenger data. In the case of messenger data, the spacing norms are not observed, and punctuation marks are often omitted. Variants that are written as they sound or whose letters are partially modified are used, and typos are also frequent. In addition, various abbreviations are used, new words and dialects appear, and new sentence final endings are frequently used. These linguistic features can cause an error of POS and should be considered in the process of normalization, The error rate was changed from 35.1% to 17.7% after due to wrong interword space detection, and the error rate was reduced by 12.2% due to spelling checking. The remaining errors were the case of misanalyzing the sentence final endings as a connecting endings due to the absence of punctuation marks, and errors related to new proper nouns, new words, and interjections.
The Laplace Mechanism has optimal utility for differential privacy over continuous queries

Differential Privacy protects individuals' data when statistical queries are published from aggregated databases: applying mechanisms to the query results makes the released information less specific but, unavoidably, also decreases its utility. Yet it has been shown that for discrete data (e.g. counting queries), a mandated degree of privacy and a reasonable interpretation of loss of utility, the Geometric obfuscating mechanism is optimal: it loses as little utility as possible. For continuous query results however (e.g. real numbers) the optimality result does not hold. Our contribution here is to show that optimality is regained by using the Laplace mechanism for the obfuscation. The technical apparatus involved includes the earlier discrete result by Ghosh et al., recent work on abstract channels and their geometric representation as hyper-distributions, and the dual interpretations of distance between distributions provided by the Kantorovich-Rubinstein Theorem.
Investigating the Generalization Ability of Parameterized Quantum Circuits with Hierarchical Structures

Quantum computing provides prospects for improving machine learning, which are mainly achieved through two aspects, one is to accelerate the calculation, and the other is to improve the performance of the model. As an important feature of machine learning models, generalization ability characterizes models' ability to predict unknown data. Aiming at the question of whether the quantum machine learning model provides reliable generalization ability, quantum circuits with hierarchical structures are explored to classify classical data as well as quantum state data. We also compare three different derivative-free optimization methods, i.e., Covariance Matrix Adaptation Evolution Strategy (CMA-ES), Constrained Optimization by Linear Approximation (COBYLA) and Powell. Numerical results show that these quantum circuits have good performance in terms of trainability and generalization ability.