Reviewerly/exHarmony huggingface dataset:
Construction of Information Legal System Based on Data Mining in the Era of Big Data

The research of information legal system is related to the basic problems of information legal theory and practice. This paper expounds the research status of information law at home and abroad. This paper discusses the problems existing in the research of information law, and then analyzes the political, economic, social and legal factors that affect the legal system of information law based on the method of data mining. On this basis, this paper expounds three research models of information legal system construction, and puts forward the basic content of China's information legal system. According to the system theory and analytical jurisprudence, the information legal system in the era of big data is an open system with specific functions and advancing with the times. This paper shows that the system mainly includes five parts: the basic law of information, the legal system of information property rights, the legal system of information opening and sharing, the legal system of information transaction, and the legal system of information security. The results of this paper provide the theoretical basis for the construction of research point definition of information legal system based on data mining in the era of big data.
A Study on Contextualized Language Modeling for Machine Reading Comprehension

With the recent breakthrough of deep learning technologies, research on machine reading comprehension (MRC) has attracted much attention and found its versatile applications in many use cases. MRC is an important natural language processing (NLP) task aiming to assess the ability of a machine to understand natural language expressions, which is typically operationalized by first asking questions based on a given text paragraph and then receiving machine-generated answers in accordance with the given context paragraph and questions. In this paper, we leverage two novel pretrained language models built on top of Bidirectional Encoder Representations from Transformers (BERT), namely BERT-wwm and MacBERT, to develop effective MRC methods. In addition, we also seek to investigate whether additional incorporation of the categorical information about a context paragraph can benefit MRC or not, which is achieved based on performing context paragraph clustering on the training dataset. On the other hand, an ensemble learning approach is proposed to harness the synergistic power of the aforementioned two BERT-based models so as to further promote MRC performance.
THE IMPLEMENTATION OF PICTURE MEDIA TO IMPROVE WRITING ABILITY ON DESCRIPTIVE TEXT TO THE SEVENTH GRADE STUDENTS AT SMP N 1 KERAMBITAN

This research aimed at improving the students’ ability in writing descriptive text through the implementation of picture media. This research was conducted by using the Classroom Action Research. The research subject were the seventh grade students of SMP N 1 Kerambitan in the academic year 2020/2021. The data were collected by using observation, test ,and interview. The technique of data analysis used in this research were qualitative and quantitative data analysis. The procedure of this research was run by conducting pre-test and post-test. The post–test was done in two cycles. Each cycle consisting of : planning, action, observation and reflection. The result indicated that the mean score of pre-test was 58.15 and the percentage the students who passed the minimum completeness criteria were 31,25%. The mean score was 66,93 and the percentage the students who passed the minimum completeness criteria were 53,13 % in post-test 1 and the mean score was 73,47 and the percentage the students who passed the minimum completeness criteria were 78,12 % in post test ll. Based on the results above, the implementation of picture media method was effectively used in improving the understanding of writing descriptive text.
Pengaruh Pendidikan Karakter, Motivasi Belajar dan Aktivitas Belajar terhadap Prestasi Belajar pada Siswa Sekolah Dasar

Learning success is a change in behavior as a result of learning that covers the cognitive, affective, and psychomotor fields. Therefore, in the assessment of learning outcomes, the role of instructional examinations that contain formulation of abilities and behaviors desired by students becomes an important element as a basis and reference for assessment. Learning success is also the success of students in forming competencies and achieving goals as well as the success of teachers in guiding students in learning. Data analysis and hypothesis testing are done using simple regression analysis to partially test hypotheses, and multiple regression analysis to test hypotheses simultaneously. This research has the goal of knowing and testing the influence of Character Education, Learning Motivation and Learning Activities on Student Learning Achievement, both partially and simultaneously, research shows that character education partially or simultaneously positively and significantly affects learning achievement with a significance level of 0.029. Learning motivation partially and simultaneously has a positive and significant effect on learning achievement with a significance level of 0.001. Learning activities partially positively and significantly affect with a significance level of 0.172. Learning motivation and learning activities simultaneously have a positive and significant effect on learning achievement, based on the results of statistical calculations. The value of F is 91.931 while the table F value for the sample number is 54 (0.95, 3; 54) from (2.78), so the value of F calculates greater than F of the table. Lastly, character education, learning motivation and learning activities simultaneously have a positive and significant influence on learning achievement. Subsequent research suggested it could use a larger sample number by involving students, parents of students and teachers
Analysis of Confucius's Humanistic Education Theory Centered on the Analects of Confucius Based on Cognitive Anthropology

Confucius's humanistic education theory centered on the Analects of Confucius based on cognitive anthropology was analyzed in this paper, and the computer technology was used to extract the imagery and thought of the ancient Chinese prose. Methods: First of all, the definition and classification of cognitive anthropology and ancient Chinese prose imagery were described in detail; then based on the Confucius culture centered on the Analects of Confucius, the computer representation model and the classification algorithm of ancient Chinese prose were constructed; Results:in addition, the experiment was carried out to verify the model and algorithm, and the threshold analysis was carried out on the basis of the comparison of tagged word and characteristic words; Conclusion: finally, the optimum range was obtained for each parameter.
English Teachers’ Teaching Styles and Their Effects on Students’ Reading Interest at Senior High School

The purposes of this research were to identify types of teachers’ teaching style that English teachers applied during the process of English reading learning and to find out what type of teachers’ teaching style that affected the students’ reading interest of the students of Madrasah Aliyah Pondok Pesantren Darul Arqam Muhammadiyah Gombara Makassar. The researcher applied a descriptive qualitative research which was involved the English teachers of Madrasah Aliyah and their students. The data were collected by using observation checklist and interview in order to identify types of English teachers’ teaching styles. The researcher also used a questionnaire to support the data in order to find out the type of teaching style that affected students’ reading interest. The result showed that the teachers applied five teaching styles, based on Eric Gill’s Theory (2003), namely authority or lecture style, demonstrator or coach style, facilitator or activity style, delegator or group style and hybrid or blended style.; The teaching styles that dominantly used by the teachers are authority or lecture style and facilitator or activity style. The data also showed that the students’ reading interest related to the teachers’ teaching style could be formulated by facilitator or activity style. Since the facilitator or activity style focus on the students’ needs and goals and still notice the teacher-student interaction, the researcher suggests the teachers consider this studying when they teach without ignoring other styles and involve the students actively in the English reading learning process.
Augmented Reality Changing the Food and Beverage Industries

Augmented reality (AR) is emerging technology in the market; hence, marketing strategies for the food and beverage industries can be transformed using it. It augments the real world with innovative content so that more interactions are possible. AR provides relevant information about the product, used for promoting new products, educating customers about the nutritional value of the food, and so on. This chapter discusses the revolution made by AR in these industries. Applications of AR in various sectors of the industries, including virtual 3D food, product–customer interaction, restaurant entertainment, employee training, restaurant tours, and food packaging, are discussed. Also, technologies used and their impact on the industry are discussed. Finally, the chapter concludes with the future of food.
Research and Course Guides: St. Thomas Libraries on Social Media: Latest

Landing page for the St. Thomas Libraries' social media accounts where you can find the links we refer to in our social media posts.
Is Cryptocurrency The Future Of Money

Due to the speedy development of communication technology, several of our daily activities are incorporated online. The increase of digital acquisition has created new business opportunities through the employment of virtual word ideas. This growth has activated a virtual business development referred to as cryptocurrency. A cryptocurrency could be a secure digital or virtual currency which will be used for transactions. Because of its decentralized nature, it is used for creating transactions. There are 1658 styles of cryptocurrencies within the digital market which will be used for creating payment transactions. It's secured by cryptography that makes it not possible to pay a cryptocurrency doubly on a network. Cryptocurrency exists solely in digital kind and may be transferred fully between digital addresses. This analysis focuses on the explanation for gaining popularity within the recent periods and what can be its future. It conjointly focuses on what proportion data a common person has concerning cryptocurrencies. It also focuses on the similarities and differences between stock market and cryptocurrencies.
Attitude towards Learning Computer Technology and the Usage of Web among the Higher Secondary School Students

Education plays the greatest part in democracy. It is the subsystem in the social system that plays a key role in molding, shaping, reforming and reconstructing society from time to time. Now India’s commitment is to provide “free and compulsory education for all children until they complete the age of 14” and achieve Universalization of Elementary education (UEE) and the Millennium Developmental Goals (MDG) with substantial improvement in the quality. At this critical juncture the impact of computer technology has revolutionized the world in all aspects of life. Hence it is expected to improve the quality of learning as well as learners of rural area students by facilitating them with necessary technology usage, its knowledge and applications. Quantitative method is used in this study. There are four objectives.  The first objective is to find out the significant difference in attitude towards web learning among higher secondary school students with respect to medium of instruction. The second objective is to find out the significant difference in attitude towards web learning among higher secondary school students with respect to father’s educational qualification. Third objective is to find out the significant difference in attitude towards web learning among higher secondary school students with respect to mother’s educational qualification. The fourth objective is to find out the significant difference in attitude towards web learning among higher secondary school students with respect to monthly income of family. The benefactors are students, teachers, administrators and the school principals.
Cryptography Techniques and Internet of Things Applications – A Modern Survey

Cryptography's single most essential application in the internet of things is securing communication routes. Here are a few examples of how current encryption can help make the Internet of Things a safer and more trustworthy place. In this paper, Certain Investigations on Cryptography Techniques and Internet of Things Applications are been proposed. In cryptographic techniques, Verifiable computing based on proofs and verifiable computing based on replication, FPGA, Multivariate Cubic MC problem, image cryptosystem, CB-PBS scheme, LB-2PAKA protocol, MECC and DLMNN, SKMA-SC technique, EC-ACS Scheme, IoT cryptographic system, ECC-PKI, ESEAP, GEDMs, hybrid security strategy HS2, query system based on proxy re-encryption, IoT network security using post-quantum cryptography techniques and IoT Applications likea combination of the Whale Optimization Algorithm and the Moth Flame Optimization (MFO), Shodan, Packet sniffing applications and network mapping tools, LAM-CIoT, LoRa+, LoRa Gateway by using chirp spectrum modulation scheme, RECLB algorithm, twin Peaks, WoT Store, a centralised inconspicuousFor real-time monitoring of a large population, an IoT-based device-type invariant fall detection and rescue system, In the standard model, decentralised attribute-based encryption is used, as well as an authentication system, CWD-WPT charging systems on a VANET network in a cloud and fog computing environment, CAPODAZ, SCF-CLSPE scheme, IoT cryptographic system, MQTT, Multi-Dimensional Access Control (MD-AC) scheme, IoT network security using post-quantum cryptography techniques, lightweight AKA scheme and ENPKESS method.
Sample Selection for Fair and Robust Training

Fairness and robustness are critical elements of Trustworthy AI that need to be addressed together. Fairness is about learning an unbiased model while robustness is about learning from corrupted data, and it is known that addressing only one of them may have an adverse affect on the other. In this work, we propose a sample selection-based algorithm for fair and robust training. To this end, we formulate a combinatorial optimization problem for the unbiased selection of samples in the presence of data corruption. Observing that solving this optimization problem is strongly NP-hard, we propose a greedy algorithm that is efficient and effective in practice. Experiments show that our algorithm obtains fairness and robustness that are better than or comparable to the state-of-the-art technique, both on synthetic and benchmark real datasets. Moreover, unlike other fair and robust training baselines, our algorithm can be used by only modifying the sampling step in batch selection without changing the training algorithm or leveraging additional clean data.
Developing a Meta-suggestion Engine for Search Query

With the development of the Internet and the accumulation of information on the web, users use a search engine to easily obtain the desired information. A query suggestion is one of the main services provided by a search engine, and is very important for improving search performance, creating efficient queries, and reducing search time. However, there are search engines that do not support the query suggestion service. Under such engines, if users want to perform a search, they would have much difficulties in effectively performing the search. In this paper, to tackle the problem, we propose and develop a metasuggestion engine that crawls suggested search queries from search engines with a suggestion service, applies a re-ranking algorithm, and provides the suggested search queries in the form of an extension program on a web browser. Meta-suggestion engine are useful for users searching in engines that do not provide query suggestions, as they provide query suggestions wherever the user searches. We evaluate engines with relevance-based and predictive hit-based evaluation methods, showing that MSE produces good quality suggestions. We study improvements in target engine selection and re-ranking algorithms in future studies.
Optimizing Repartitioning Parallel Sort in AsterixDB

Author(s): Lychagin, Mikhail Dmitriyevich | Advisor(s): Carey, Michael J | Abstract: As big data evolves, more and more databases are incorporating a parallel architecture. Sorting a dataset on a key value is a required operation of any database. The hope is that a linear increase in computing power given to a database results in a linear increase in performance. One of these databases is AsterixDB, which has Repartitioning Parallel Sort, or RPS, as its sort operator.The goal of this thesis is to optimize RPS to fully utilize the parallel nature of AsterixDB in all cases. Currently, the sort operator performs poorly when faced with an input dataset whose sort attribute is skewed on one or more identical values. In this thesis, we first discuss the current state of sorting in AsterixDB and the problems associated with it. Second, we go over a proposed optimization to the sort operator. Third, we compare the old approach with the new one with performance testing. Finally, we discuss some future work that can be done to further improve sorting in AsterixDB.
PERANCANGAN WEBSITE JURNAL DAN LAPORAN KULIAH KERJA NYATA MAHASISWA (KNM) UNIVERSITAS MAJALENGKA TAHUN 2019

Student Real Work Lecture (KNM) is one form of devotion performed by students by giving lessons to the community in accordance with the knowledge that students have in their respective fields. During knm activities, students develop work programs that suit the needs and characteristics of the KNM implementation site accompanied by a report of work programs / KNM activities. The form of report that is still in the form of paper (manual) is considered ineffective because of limited storage space, limited availability of reports (report stock), and limited access to reports (which can only be accessed during business hours). This research was conducted with the aim to build an application that can provide convenience for students in processing KNM reports and reporting every activity during the KNM. This research study used the Rational Unified Process (RUP) and UML software development methodologies as software development models. Because the purpose in the beginning is to provide the availability of report access, the application that will be created is a web-based database application by utilizing Codeigniter Framework tools. From the research, a web-based application will be produced that can be accessed by each KNM participant.
Machine Learning approach to detect Breast Cancer

This paper is a continuation of the work done by the author in the field of Artificial Intelligence and Artificial Neural Network. In this paper we discussed about breast cancer and shown an experiment carried out in Kaggle Dataset using Python as the programming language. The author was able to obtain a high degree of accuracy in the classification of patterns.
How to get your PhD in Three Years : Real Experience via Thesis Publication

This book is crafted to depict a general understanding on what it takes to venture into the PhP journey. The work is deemed important as many PhD candidates, starting PhD studies without having good knowledge of what lay ahead of his/her 3 years of studies. Having stated that, at least, this book will give good initial understanding and overview what candidates will encounter; since it is written based on true experience of a PhD supervisor and his many graduated candidates. The niche of this book on earning your PhD in 3 years, is primarily structured based on the three-staged years of the scholar pursuance and its emphasis on writing PhD thesis via many publications. List of publications, meanwhile pursuing PhD, is vital in creating leverage and confidence the fact that the presented thesis work has undergone a substantial process of review, commenting, correction and enhancement. By reading this book, readers will be exposed to ups and downs, do’s and don’ts and expecting they will enjoy the scholarly journey. Hopefully, this book will be able to show how to do it right at the first time and how valuable the experience of earning a PhD qualification.
Comparison of Accuracy Rate for Soybean Type Using Backpropagation

Abstract – Soybean is a pods plants that were use a base component to make food such as tempe and tofu. Soybean has a few kind of shapes, circle, circle and flat, oval, oval and flat. Soybean also has a few kinds which is white soybean, black soybean and green soybean (edamame). On this article the accuration level from recognation of those 3 kinds will be compared based on the portrait distance. There were three distance, 10 cm, 15 cm and 20 cm. Feature extraction that used is GLCM and recognation using backpropagation algorithm. The result after preprocessing, feature extraction with GLCM and recognation with backpropagation algorithm with the portrait distance of 10 cm accuration level is 100%, 15 cm accuration level is 99.07% and 20 cm accuration level is 77.22% Keywords : Soybean, GLCM, Backpropagation
Real-time threats

Cybersecurity threats are nothing new. Every year, it seems industry experts warn it is time to take security more seriously. For the most part, organisations have responded to those warnings. Once...
PERANCANGAN MEDIA PEMBELAJARAN MOBILE LEARNING MATERI MACAM-MACAM BATUAN PADA MATA PELAJARAN GEOGRAFI BERBASIS WEB MOBILE

Smartphones are information technology devices that are no longer an option, but have become a necessity in order to improve the learning process. Smartphone devices are also equipped with an operating system like a computer, smartphones can implement various forms of multimedia such as computers, except that they have high mobility and can be operated more effectively. Humans as technology developers who are carried out continuously from time to time have always increased, in the field of education. One of the uses of smartphone technology in educational activities is that it is used as a learning medium such as in geography subjects, materials of various kinds of rocks. However, in senior high school (SMA) class X, for geography subjects. The learning media used is very lacking, the teacher only uses conventional learning, with the lecture method so that it makes it difficult for students to understand the material. The existence of these problems, the researcher wants to make mobile learning media that will be used by students by using smartphones as a device to access information in the form of a mobile web.
Rancang Bangun Sistem Tanya-jawab Berbasis Aturan STMIK Muhammadiyah Paguyangan Brebes dengan Menggunakan Telegram Chatbot

An educational institution should have an academic service system that is easy, accurate and fast in serving documents related to lecture information such as: Kartu Renrana Studi (KRS) and Kartu Hasil Studi (KHS) which will indirectly support the smooth teaching and learning activities.  One of solution is to design an automated service system that can be accessed and served anytime, anywhere, and from anywhere, such as a chatbot. The method used in the design of this chatbot is to use a rule-based method to determine the answer (action) to be taken next. The main emphasis of this research only focuses on information services for the Biro Administrasi Akademik (BAAK). From the results of the adoption of this rule-based chatbot, a fairly high level of accuracy is obtained, which is up to 98.95% success rate (accuracy of answers) from 96 times of testing with different schemes.