Reviewerly/exHarmony huggingface dataset:
PENGAMANAN DATA CLOUD STORAGE DENGAN MENGGUNAKAN ADVANCED ENCRYPTION STANDARD DAN ELLIPTIC CURVE DIGITAL SIGNATURE ALGORITHM PADA SECURE SOCKET LAYER BERBASIS WEBSITE

Abstrak Cloud Storage adalah media penyimpanan file berbasis online atau digital yang mengandalkan koneksi internet untuk akses data. Cloud storage adalah terobosan baru dalam dunia penyimpanan data yang menonjolkan banyak kelebihan jika dibandingkan dengan media penyimpanan offlineseperti hardisk dan flashdisk. Data yang disimpan ke dalam cloud storage akan disimpan di sejumlah server yang dikelola oleh pihak penyedia layanan atau yang biasa disebut juga dengan hosting. Eliptic Curve Digital Signature Algorithm adalah implementasi kurva elips dari DSA.Secara fungsional saat RSA dan DSA memerlukan panjang kunci 3072 bit untuk memberikan keamanan 128 bit, ECDSA dapat mencapai hal yang sama hanya dengan kunci 256-bit. Namun, ECDSA bergantung pada tingkat keacakan yang sama seperti DSA.Kata Kunci: Cloud storage, server, cloud, Eliptic Curve Digital Signature Algorithm, Owncloud. Abstract Cloud Storage is an online or digital file storage media that relies on an internet connection for data access. Cloud storage is a new breakthrough in the world of data storage that features many advantages when compared to offline storage media such as hard drives and flash drives, so data stored in cloud storage will be stored on a number of servers managed by service providers or commonly known as hosting. Eliptic Curve Digital Signature Algorithm is an implementation of the elliptic curve of the DSA. Functionally where RSA and DSA require a key length of 3072 bits to provide 128 bit security, ECDSA can achieve the same thing with only 256-bit keys. However ECDSA relies on the same degree of randomness as DSA.Keywords: Cloud storage, server, cloud, Eliptic Curve Digital Signature Algorithm, Owncloud.
A Study on the Adjunct of Dummy Verbs

Dummy verbs is used as predicate like general verb, they are weakened the original meaning of movement or action. they didn’t display substantive meaning, they formed a phrase with object that displayed movement. their name is very various, the object property of them is different from the property of general object. it is not clear about category, feature, and function, so many problems still are in constant discussion. we need to study about it, the adjunct of dummy verbs has not yet been studied. this paper according to the generation grammar’s theory and adjunct condition, we considered classification, feature and generative processes in the adjunct of dummy verbs, we came to the following conclusions. the adjunct of dummy verbs are made up of adverbs, auxiliary verb and prepositional phrase. they are used of adverbial in front of dummy verbs. several adjuncts can also be used together. and dummy verbs isn’t a overt light verb or covert light verb. the meaning of verb is weakened by itself, they have properties and functions of verb, they can use dynamic postposition behind dummy verbs, and they can use negative adverb, auxiliary verb in front of dummy verbs, and the object of them stand for movement, they have a property of noun. the adjunct of dummy verbs was added to maximal projection, it can’t be added to argument NP or CP. light verb phrase vP hasn’t the feature of argument, adjunct can be added to vP. adjunct was projected in vP head according to Adjunct Projection Principle. adjunct is generated in surface structure, it doesn’t need to move position, it merges on this right spot. we don’t check features because it has the feature that was projected in maximal projection. the adjunct of dummy verbs it is merged into the left in tree diagram, and it is consisted of one structure, so we can’t extract any element among them. according to the related generation grammar theory and adjunct theory, we progress the syntax project in the adjunct of dummy verbs structure, we can project like this paper 〈picture 5〉 and 〈picture 7〉. the adjunct of dummy verbs is located in front of them, it is merged into the left in tree diagram. several adjuncts can also be projected together, we can’t extract any element among them, this is the sole parameter phenomenon of chinese, we have to modify category and properties of generation grammar adjunct.
Building a Question and Answer System for News Domain.

This project attempts to build a Question- Answering system in the News Domain, where Passages will be News articles, and anyone can ask a Question against it. We have built a span-based model using an Attention mechanism, where the model predicts the answer to a question as to the position of the start and end tokens in a paragraph. For training our model, we have used the Stanford Question and Answer (SQuAD 2.0) dataset[1]. To do well on SQuAD 2.0, systems must not only answer questions when possible but also determine when no answer is supported by the paragraph and abstain from answering. Our model architecture comprises three layers- Embedding Layer, RNN Layer, and the Attention Layer. For the Embedding layer, we used GloVe and the Universal Sentence Encoder. For the RNN Layer, we built variations of the RNN Layer including bi-LSTM and Stacked LSTM and we built an Attention Layer using a Context to Question Attention and also improvised on the innovative Bidirectional Attention Layer. Our best performing model which uses GloVe Embedding combined with Bi-LSTM and Context to Question Attention achieved an F1 Score and EM of 33.095 and 33.094 respectively. We also leveraged transfer learning and built a Transformer based model using BERT. The BERT-based model achieved an F1 Score and EM of 57.513 and 49.769 respectively. We concluded that the BERT model is superior in all aspects of answering various types of questions.
Nilai Moral Dalam Novel Si Anak Badai Karya Tere Liye : Tinjauan Sosiologi Sastra Dan Implementasinya Sebagai Bahan Ajar Di Sma

This study aims to (1) describe the building structures in the novel Si Anak Badai by Tere Liye. (2) describes the moral values depicted in the novel Si Anak Badai by Tere Liye. (3) describing the application of the novel Si Anak Badai by Tere Liye as teaching material in high school. The method in this research is descriptive qualitative. The primary data in this study is the novel Si Anak Badai by Tere Liye, published by Republika Publisher, first printed, August 2019, with a thickness of 318 pages. Secondary data consists of articles obtained from internet sources. The technique of collecting data with library, note and see. The data analysis technique was carried out using the dialectical method. The validity of the data in this study uses data triangulation techniques and theories. Based on the analysis conducted, it can be concluded as follows. (1) the structure of the novel Si Anak Badai by Tere Liyeakup, theme, plot, characterization, and setting. (2) the moral values contained in the novel Si Anak Badai by Tere Liye consist of four types, among others; First, the human relationship with oneself which consists of independent moral values, forgiveness, not revenge, is responsible. Second, human relations with other humans in a social environment consisting of moral values, loyal friends, mutual cooperation, please help, be devoted when supporting, need education. Third, the human relationship with the natural environment which consists of agreed moral values and saving the land of birth. Fourth, the human relationship with God which consists of pious moral values for God. (3) implemented the novel Si Anak Badai by Tere Liye as teaching material in high school class X1 with KD 3.11 analyzes the content of messages from one fiction book that is read. The KD was adjusted to Permendikbud number 37 in 2018.
Data-driven Decision Support on Student’s Behavior using Fuzzy-Based Approach

Monitoring of students’ behavior in school needs further consideration in order to lessen the number of casualties in every term. The study designs a data-driven decision support on students’ behavior utilizing Fuzzy-Based Approach. The study successfully produces common behavioral problems of the student and able to give interventions for the improvement of students’ behavior. Student behavioral problems identified were absenteeism, tardiness and poor academic performance.
Impact of Strategic Planning and Continuous Improvement on the Effectiveness of Administrative Decisions

The aim of this study is to identify the impact of strategic planning and continuous improvement on the effectiveness and efficiency of administrative decisions at Empowerment for Administrative Consultations and Marketing Company (EACMC). (50) questionnaires were distributed to the sampling and analysis unit from the higher and middle administrative divisions at (EACMC), (46) questionnaires were retrieved at a percentage of 92%, and after examining and checking the retrieved questionnaires, no questionnaire was excluded. The findings of the study indicate that there was a statistically significant impact of strategic planning on the effectiveness of administrative decisions at (EACMC) Moreover, there was a statistically significant impact of continuous improvement on the effectiveness of administrative decisions at (EACMC). The study advise that (EACMC) should pay more attention to the external environmental analysis that reflects the provision of new opportunities and helps avoid the effects of external threats through the optimal exploitation of internal strengths towards supporting the (EACMC) strategic position and achieving superiority over its competitors in the markets.
LibGuides: Female Empowerment: A primer for strong girls: Books for Children

This guide provides a resource for literature written to empower young girls and provide them role models. Listing of empowering books
On the Computation and Essence of the Nominal Convergence Criteria for Africa Currency Union: ECOWAS in Perspective

The ECOWAS in a quest to form a currency union prompted the set out nominal convergence criteria for member states. The study seeks to delineate the importance of the nominal convergence criteria to ensure price and exchange rate stability. In this context, the revised ECOWAS convergence criteria were elaborated to unveil the degree of convergence. Also, the study computed for the realistic nominal convergence targets supposing the union is formed and suggested ex-ante steps to fast track convergence. Additionally, the study showed the exigency for trade and institutional convergence through policy coordination. The study concludes that countries should commit to attaining the convergence criteria in the shortest possible time to aid in the realization of the policy. The study recommends that relatively exposing the large informal sector, ensuring political ramification, and encouraging savings is key to achieving the nominal convergence criteria.
한반도 안정화작전 시 군사작전 수행 및 주민지지 획득에 대한 정책적 제언

Stabilization Operation is a military activity carried out in close cooperation with the government and the private sector in the liberalized region, and is an important element of military operations along with attack and defense operations.In this paper, four operational cases were analyzed, including the Korean War, the Vietnam War, the Iraq War, and the Afghanistan War, to draw up lessons. Through this process, tasks for successful stabilization operations on the Korean Peninsula were drawn up in each phase of the operation.The tasks related to the implementation of military operations were to identify and utilize the factors affecting stabilization operations in North Korea, to develop for stabilization operations preparation plan, to prepare and implement decentralized operations, to control and eliminate weapons of mass destruction, to disarm the North Korean military, to control military facilities, and to strengthen measures to prepare for mass North Korean defectors.The tasks for obtaining support from residents were presented such as separating friendly and hostile forces, preparing for cyber warfare, preparing for civil psychological warfare, winning support from the international community and complying with international law.
A Study on the Cultivation of Non-English majors’ Autonomous Writing

The autonomous learning of writing for non-English majors is far from being satisfied nationwide[4], which is hard to accept. How to enhance the writing capability or writing learning for non-English majors has been a critical and tricky issue for the frontier teachers and scholars, and a research topic as well. The present study seeks to intentionally deploy the relevant theories of autonomous learning in the four-month long English course for non-English majors. For the limitation of paper length and time, the length approach and peer evaluation, which are applied in teaching, are exemplified in the present paper. The results have shown that a clear teaching goal, practical writing topics and contents, and writing strategy have triggered students’ enthusiasm in writing learning and ensure the realization of teaching goals.
2015 개정 교육과정 고등학교 ‘음악 감상과 비평’ 교과서의 다문화적 요소에 관한 논의

The role of education is very important to establish the idea of multiculturalism more objectively and soundly. In particular, music education is desirable for multicultural learning, given that it provides aesthetic and emotional access to multicultural music and that it can be approached value-neutrally through sound. This article limited the scope of discussion to music subjects among the 2015 revised curriculum, and especially focused on high school ‘Music Listening and Criticism’ textbooks where multicultural elements were most emphasized in the curriculum.I looked at five different types of ‘Music Listening and Criticism’ textbooks developed by the curriculum, which are related to multiculturalism. As a result, supplementary points were derived from regional allocation issues and the specificization of social issues related to multiculturalism through learning activities. To solve this problem, it should advocate ‘multi-principled multiculturalism’ in which the dimension of world music considering regional arrangement and diaspora music considering the identity of multicultural students can be properly combined. In addition, multicultural issues such as migrant workers, refugees, marriage migrant women, North Korean defectors and Korean Chinese should be implemented in textbooks to link them educationally.After all, the high school ‘Music Listening and Criticism’ class, which embodies multicultural issues, needs to be considered in terms of reverse and convergence. In particular, I hope that the class will combine with the emotional effects of music and serve as a clue to solving xenophobia about multiculturalism that is prevalent and deeply festering in Korean society. It is clear that continuing to worry about multiculturalism through education will have a significant impact on the development of Korean society, even if there are trial and error, and that music education, which is mainly non-verbal communication, will be very well suited to the ideology of multicultural education, which aims to recognize and respect different things.
Racismo e islamofobia en el fútbol de Israel: referencia especial a los radicales del Beitar de Jerusalén

espanolEl presente articulo trata de analizar los incidentes racistas e islamofobos que se han registrado en el sector mas radical de los aficionados del Beitar de Jerusalen, La Familia. El veto a los jugadores arabes y musulmanes ha sido una de las principales batallas liberadas por las autoridades de este club durante anos y no ha sido hasta 2018, con la llegada del ultimo propietario, cuando parecen haberse despejado algunos claros en relacion con esta cuestion. Examinaremos los principales acontecimientos sobre el tema propuesto, sin olvidarnos de la forma en que han sido tratados por las instituciones politicas y juridicas de Israel. EnglishThis article tries to analyze the racist and islamophobic incidents that have been registered in the most radical sector of fans of Beitar Jerusalem, La Familia. The veto of Arab and Muslim players has been one of the main battles waged by the authorities of this club for years and it was not until 2018, with the arrival of the last owner, that some clearings seem to have been cleared in relation to this issue. We will examine the main developments on the proposed topic, not forgetting how they have been dealt with by Israel's political and legal institutions.
트럼프의 인도-태평양 전략과 중국 견제에 대한 연구

This study reviewed the concept and operation of Indo-Pacific strategy of Trump administration. The strategy became a new gelogical concept combined with the ‘China Bashing’. The U.S-China competition intensified from trade of customs to technology, marine and space competition, and it expanded to value struggle between the U.S and China during the US presidential election. At the same time, Trump’s ally bashing based on ‘America First’ caused rupture with allies and the internal conflict in Washington regarding the diplomatic practice. Thus, the Indo-Pacific strategy was conceptualized during Trump administration led by the Congress, the Ministry of Defense and the State Department aiming to check China, but its practice was very limited.President Biden has asserted the recovery of American traditionalism based on he multilateralism, alliance and value diplomacy that was damaged during the Trump administration. Biden explained that they will practice the U.S-Chaina strategy competition optionally based on the cooperation, competition and conflict. Thus, it is highly likely that the Biden administration’s competition will be positioned somewhere between the ‘hegemonic competition’ and ‘cold peace’. Also, it is very likely that the U.S will combine the military and economy of the allies to block the Chinese influence.
Scalable Graph Neural Network-based framework for identifying critical nodes and links in Complex Networks

Identifying critical nodes and links in graphs is a crucial task. These nodes/links typically represent critical elements/communication links that play a key role in a system's performance. However, a majority of the methods available in the literature on the identification of critical nodes/links are based on an iterative approach that explores each node/link of a graph at a time, repeating for all nodes/links in the graph. Such methods suffer from high computational complexity and the resulting analysis is also network-specific. To overcome these challenges, this article proposes a scalable and generic graph neural network (GNN) based framework for identifying critical nodes/links in large complex networks. The proposed framework defines a GNN based model that learns the node/link criticality score on a small representative subset of nodes/links. An appropriately trained model can be employed to predict the scores of unseen nodes/links in large graphs and consequently identify the most critical ones. The scalability of the framework is demonstrated through prediction of nodes/links scores in large scale synthetic and real-world networks. The proposed approach is fairly accurate in approximating the criticality scores and offers a significant computational advantage over conventional approaches.
Desain dan Pengembangan Sistem Informasi Karir Alumni menggunakan PHP MySQL

The data collection of alumni in the Electrical Engineering Vocational Education Study Program at Sultan Ageng Tirtayasa University is still done manually, and there is also no career information media about soft skills training and development, tracer studies, and job vacancy information. Therefore, it is needed a media that can help career information and alumni data quickly and effectively. Information systems developed and sponsored for web-based eligibility using PHP MySQL as a medium for developing soft skills training and training, tracer studies, job vacancy information, and career guidance and consulting. Modification of R&amp;D as a development method and waterfall as a development model consisting of analysis, design, coding (implementation), and testing. The trial was conducted by 37 people consisting of software experts, admins, alumni, and Electrical Engineering Vocational Education students. Test the ISO9126 standard with aspects of functionality, usability, reliability, and efficiency. The results of the feasibility of the website in the aspect of functionality are 77 (very feasible), usability is 87.8 (very feasible), 100% reliability (very feasible), and the average efficiency of the page load time is 3.48 seconds (as appropriate).
THE ROLE OF PRACTICAL TRAINING IN THE DEVELOPMENT OF PROFESSIONAL SKILLS OF STUDENTS

The article discusses the relevance of vocational guidance of students, the problems arising in this area, and ways to solve them. The requirements for the content of industrial practice and advanced training of students in the field of vocational guidance were discussed.
Efficient Face Recognition System for Identifying Lost People

Lost Humans in our country and in different nations that they are known by everybody to be a significant social issue. These days distinguishing proof of a specific individual in the packed territory is a perplexing assignment. The human face assumes a significant part in our social communication, passing on individuals' personality. Face acknowledgment is an errand that people perform regularly and easily in their everyday lives. Face acknowledgment, as one of the essential biometric advances, turned out to be increasingly more significant inferable from fast advances in advances like computerized cameras, the Internet and cell phones, and expanded requests on security. For this, an answer is furnished on this with the assistance of a profound learning idea. Convolutional Neural Network (CNN) is utilized for the recognizable proof of an individual. The missing individual is distinguished utilizing different facial highlights. Face Detection assumes a significant part in this task. This framework tends to the structure of face acknowledgment framework by utilizing CNN technique. The CNN has been widely utilized for face acknowledgment calculations. It decreases the dimensionality of the picture, yet additionally holds a portion of the varieties in dataset of images.
Discovering Users Topic of Interest from Tweet

Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behavior, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.