Reviewerly/exHarmony huggingface dataset:
Analisis penggunaan metode Altman Z-Score dan Springate untuk mengetahui potensi terjadinya Financial Distress pada perusahaan manufaktur sektor industri dasar dan kimia Sub Sektor semen yang terdaftar di Bursa Efek Indonesia 2000-2020

The objective of the research is to find out the result of predicting bankruptcy, using Altman Z-Score and Springate methods in the manufacturing companies of basic industrial and chemistry sectors, cement sub-sector listed on BEI (Indonesia Stock Exchange) in the period of 2000-2020 and to determine the most accurate predicting method of bankruptcy to be applied in the manufacturing companies in basic industrial and chemistry sectors, cement sub-sector. The research employs descriptive quantitative method. The samples are taken by using purposive sampling method with three manufacture companies in basic industrial and chemistry sectors and cement sub-sector. The data are analyzed by using the accuracy and error levels in each predicting method of bankruptcy, and each method shows different prediction. The result of financial distress prediction, using Altman Z-Score shows that there are 19 financial distress predictions, 26 non-financial distress predictions, and 18 gray area predictions. The result of financial distress prediction, using Springate method shows that there are 22 financial distress predictions and 41 non-financial distress predictions, the result of the calculation in accuracy and error levels, using Springate method, shows that Springate method is the most accurate with the accuracy level of 65.08% and the error level of 34.92% .
HEAT FLOW AND RHEOLOGICAL DECOMPACTION OF THE CRUST AND UPPER MANTLE IN RIFT AND PLUME STRUCTURES ON THE EASTERN MARGIN OF ASIA

Results of the correlation analysis of heat f low anomalies (Q) with distributions of density contrast ( -parameter) in rifting and plume structures on eastern margin of Asia are considered, which prove selective inverse correlation of these parameters in depth intervals corresponding to the position of the subcrustal viscous layer and asthenosphere. Rifting structures are characterized by ruptures in rigid layers displayed by maxima of the  -параметра, while plume-type central structures are characterized by concentrically zonal distribution of density contrast. The main contribution to the thermal anomalies in rifts is made by the subcrustal viscous layer. Thermal flow from the asthenosphere at the Ceinozoic boundaries of lithospheric plates is screened by subducting slabs. The identical correlation of Q and  -parameter in distant regions testifies to the same deep structure and universality of tectonic regimes on the eastern margin of Asia, where subduction, rifting and plume processes are coupled in space and time.
Happiness With New Smile After Composite Filling in The Fractured Teeth

Background: A Fractured front teeth have an impact on children's psychology. Treating the front teeth with good aesthetics restores happiness. Dentists will try to restore fractured front teeth at a low cost will help the patient and family. Objective: #11 pulp necrosis accompanied by Ellis class III fracture, positive percussion test, positive bite test, and grade I mobility. Case: A 12th years old boy, visited pediatric dentistry clinic dr. Ramelan Naval Hospital Surabaya with his mother complaining that her child fell and broke his front teeth. And her child didn't want to go to school because not confident. Case management: Root Canal Treatment was restored with a composite using a palatal index with a layering technique supported by his insurance. Conclusion: The aesthetics of the teeth, especially the anterior teeth, is very important for the patient's confidence because they are visible when smiling, optimal support for children in the process of growth and development both physically and psychologically and selection of the type of treatment needs to consider the patient's finances while maintaining good quality
Reconstruction of Blur Images for Quality Enhancement

Blurred images are a widespread issue in a variety of industries, including agriculture, construction, vintage photographs, CCTV film, and military imagery.Motions made by portable devices or other objects.In these circumstances, it is essential to precisely evaluate the image quality and blur profile.To improve blurry photos, a variety of techniques, including different algorithms, have been suggested.The Generative Adversarial Networks (GAN) approach, which can complete a variety of reconstruction tasks utilising just single-source data as input, is one of the most efficient and effective algorithms for this task.Superresolution reconstruction (SRR) techniques, which turn low-resolution images into high-resolution ones, frequently employ GANs.With built-in preprocessing, GANs have a generator that generates images based on input data and a discriminator that compares and determines whether created images are authentic or not.SRGAN is a GAN extension that offers superior outcomes than the original GAN.SRGAN provides several benefits when used for blur picture reconstruction and quality improvement.In a recent study, an ImageNet dataset was used to train and test GAN and a hybrid model that combined SRResNet and SRGAN.The SSIM and the PSNR metric are typically used in image de-blurring to determine the perceived image quality.The outcomes demonstrated that the suggested hybrid model outperformed GAN.
Optimalisasi Kemampuan Membaca untuk Meningkatkan Kemahiran Menulis Dalam Bahasa Mandarin Mahasiswa Prodi Tiongkok Universitas Al Azhar Indonesia

&lt;p&gt;&lt;strong&gt;Learning writing skills in Mandarin is often something that is feared and less desirable because of the level of difficulty, because it requires a learning method that can overcome the obstacles faced by learners in this proficiency. This research seeks to provide an alternative method of learning to write by optimizing students' reading abilities. By using a qualitative approach, the author tries to optimize the reading of Chinese texts in learning activities to improve students' writing skills. From the results of this study, it is known that by providing more reading input, students also have more knowledge regarding the topic of writing and its development, better vocabulary mastery and understanding of good writing methods/methods so that it has a positive impact on the development and improvement of writing skills of students in Mandarin&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt; – &lt;em&gt;Mandarin, Writing Skills, Reading Abilities, Optimizing. &lt;/em&gt;&lt;/p&gt;
SECURE ONLINE VOTING BASED ON BLOCKCHAIN TECHNOLOGY

This paper is based on electronic voting machines, which are often used in elections and offer the ability to execute the process safely using blockchain technology. The prime aim of this system is to ensure security, integrity as well as transparency. One of the main considerations in the electronic voting site that offers a blockchain-based voting system to address a number of shortcomings of the current voting methods is voter privacy. The portal also offers a simple, dependable, rapid, and economical e-voting solution. Key Words: Blockchain technology, EVM’s, authentication, validation, security, decentralized voting.
The Effect of Organizational Climate on Organizational Commitment in 2022: Case Study - Gaza Electricity Distribution Corporation

This study aims to investigate the effect of organizational climate on organizational commitment in Gaza Electricity Distribution Corporation (GEDCO). A questionnaire was employed as the study tool, and a descriptive analytical technique was used to meet the study's objectives. (269) questionnaires were distributed, but (221) returned with a response rate of 82.16%. Also (SPSS) was used for data analysis by using various statistical methods. To analyze the structural equation model and look at the study hypotheses, analysis of a moment structures program (AMOS) tool was utilized. This study mainly contributes in enhancing the literature of the concept of organizational commitment, improving the methods of the study in the human resource area, and in finding out the effect of the research factors on organizational commitment. The results showed that there is a direct, weak, positive, effect of the organizational climate on organizational commitment (27.8%). The organizational structure (OS) dimension has the most impact on organizational commitment (74.4%), the next dimension was decision making (DM) equals (69.7%), while the dimensions (available technology (AT) was the least influential on organizational commitment (44.5%). The study recommends for providing employees with a proper awareness concerning organizational climate dimensions and how it may affect their organizational commitment.
Survey Paper: Automatic Title Generation for Text with RNN and Pre-trained Transformer Language Model

Abstract: Nowadays huge amounts of text data are available due to the evolution of the Internet. Although search engines are used to select text data, it is unfeasible to go through the entire search results of text that are related to search intent. Therefore, text summarization is the only method by which we can reduce text data without the loss of information. A new method for Title or Text generation is the Transformer language model that has been trained i.e. GPT-2, GPTNeo, Chat-GPT, and LSTM Model of RNN by which we can generate catchy titles to take readers’ attention and attract them to read a full article. This paper has discovered recent literature on all the previously mentioned topics which are related to Title or Text generators and examines several methods which propose to make use of various language models. The suggested approaches are also contrasted with one another to highlight their unique advantages, and to suggest constantly better ways.
RHETORICAL MOVES ON THE BBC NEWS ABOUT THE UNITED STATES OF AMERICAN PRESIDENT, JOSEPH BIDEN, IN ANNOUNCING OF OIL BANNING OVER UKRAINE

The objective of this study is to find out the functions of rhetocial moves and to find out the negative effects of rhetorical moves by Josep Biden. This research used the qualitative design. The data source of this research is the script that will be taken from Youtube channel. The channel containes news about the United States of American President, Joseph Biden, in announcing of oil banning over Ukraine conflict.The research shows that there are three distinct registers, namely the "formal," "consultative," and "casual" registers. The formal register predominates by a factor of 19% over any other. The objective of this formal register is to facilitate communication. Many individuals continue to be ill-equipped with register skills. They are unsure of how to properly construct sentences. They are hesitant to use such language. However, the register experiment will teach us how to use register effectively.
Polyglot - Translation of languages using Machine learning and Deep learning

The world is witnessing a significant surge in the adoption of digital technology, leading to the availability of various methods for capturing images. This research paper presents an innovative approach for translating text from images to other languages. The proposed system allows users to capture an image of the text and select the language they want the text to be translated into. The system leverages OCR technology to extract the text from the images, and then employs a combination of advanced algorithms, including LSTM, state-of-art, RBMT, NMT, and SMT, to translate the text into the desired language. The system uses the samanantar dataset for machine translation, ensuring high accuracy and reliability of the translation. The target audience for this research paper is general tourists who are interested in tourism and in retrieving accurate information from digital images, including both full-text and metadata. The paper highlights the potential of the proposed system to improve the experience of tourists visiting places where different languages are spoken, by enabling them to understand the meaning of signs, hoardings, and other written material in their preferred language. The paper targets general tourists who are interested in tourism and in retrieving accurate information such as full-text and metadata from digital images. Keywords: - Optical Character Recognition (OCR), Metadata, Multilingual Translator, Pytesseract, EasyOCR
Designing Intellectual Property Law and Creative Industry Course Syllabus for Creative Arts Undergraduate Students

Despite the role of intellectual property as the catalyst that transforms creative activity into creative industry, studies report that creative arts students are not adequately exposed to intellectual property law during their undergraduate studies.The rapid shift of creative industry from conventional to digital economy, requires evaluation of intellectual property course offerings for undergraduate creative arts students.Lack of in-depth knowledge and understanding in applying intellectual property law in creative industry has hindered the protection and economic exploitation of their creative works at the earliest possible stage of their creations.This paper aims to design a course syllabus for intellectual property law and creative industry that prepares and empowers Universiti Teknologi MARA (UiTM) creative arts undergraduates' participation in creative industry.This paper compared the course syllabuses of universities that offer intellectual property law courses specially designed by universities and learning centre for the students, authors, artists, and designers who are involved in creative industry.The comparison includes the course objectives, course learning outcomes, course description, syllabus content, teaching methodology, and course assessment.The comparative study findings contribute towards designing intellectual property law and creative industry course syllabus for creative arts undergraduates of UiTM and also beneficial to other universities.
TO STUDY THE DEVELOPMENT OF SMART ROAD FOR ECONOMICAL &amp; SOCIAL GROWTH OF URBAN AREA

Govt. of India Plan to develop 100 smart cities in which Bhopal is one of the part of it. The Bhopal Smart City have 342 acres area which is well planned with smart roads and with many amenities in South and North TT Nagar Bhopal. The area is designed for different sectors as PSP, Commercial area, Residential area, Green land, etc. The land is divided in different zones; this is one of the big projects that is designed as a smart city for the social and economic growth for the public and private sector. The road is designed with full amenities accordingly for the different sectors. The smart road is designed which enhances the development of the entire area. The era we live in is often regarded as the era of smart technology. Smart is a very popular term today and means clever, intelligent, perceptive and receptive. As an acronym for Self- Monitoring Analysis and Reporting Technology, it can be understood in its broadest sense ifit describes the essential characteristics of the innovative technologies that shape today's society in everyday life. Thus, the advent of the Smart Age, the era of intelligent technology, has greatly shaped and changed many aspects of today's society compared to the past. In this panorama, several new issues are related to transport infrastructure systems and more importantly road transport. Road transport in the modern sense, in pre-World War II India, very few vehicles used gasoline or diesel as fuel and had internal combustion engines.
A Study on Investor’s Perspective Towards Crypto Currency with Reference to Bangalore City

Throughout history, humans have primarily used commodity currencies.Fiat money is a more recent innovation that was first used about 1000 years ago and is today the most popular kind of money.The story of money, however, does not end here.Cryptocurrency is a brand-new, untested kind of money that is neither fiat nor commodity money.Whether the cryptocurrency experiment is eventually a success or not.This article defines bit coin and introduces some of the fresh problems it raises.It is essential to comprehend the problem being solved in order to comprehend why a crypto currency has the characteristics that it has.For this reason, we begin by discussing the issues that have hindered digital currency in the past and the technological advancements that have made crypto currencies practical.Following the establishment of this framework, we discuss the specific economic problems that the solution raises.Technical Introduction to the Article Cryptocurrency is a phrase used to describe a system that uses encryption to enable distributed, decentralized, and secure exchange of digital tokens.At market pricing, these tokens can be converted into fiat currency.The first cryptocurrency, Bit Coin, began trading in January 2009.Since then, several more crypto currencies have been created using the same innovations that made Bit coin possible, albeit some specifics of their governing algorithms have been changed.Two of the main advancements introduced by Bit coin and which enabled crypto currencies were the double-cost problem and the Byzantine general's dilemma, two age-old problems in computer science.
PERANCANGAN SISTEM INFORMASI INVENTARIS BARANG BERBASIS WEB PADA DISPORA SUMUT

The design of the goods inventory system is the best solution for the North Sumatra Youth and Sports Office, which starts in a manual process which causes many problems that arise from the manual inventory process, from loss of goods data to the loss of the goods themselves. The web-based inventory is an access that can be monitored by all stakeholders in the North Sumatra Youth and Sports Office. The inventory information system that was built can record transactions of incoming goods, outgoing goods, stock of goods, use of goods, replacement of goods, submission of goods, data collection of inventory room locations and reports so that they can find out and provide fast, precise and accurate information every day. In this study using the method of observation and literature study with the flow of identifying problems, determining research objectives, studying literature, analyzing problems. The usefulness of this research also has an impact on each person in charge of the inventory of the North Sumatra Youth and Sports Office, making it easier for the head of equipment. All processes and stages based on a web database will have a positive impact on the inventory process at the North Sumatra Youth and Sports Office.
Grammatical Competence and its Impact to Listening and Speaking Proficiency: An Analysis

Grammatical competence is very important to tertiary students because this is needed in constructing reports or other important requirements. Grammatical competence is the ability to judge the appropriateness and correctness of a statement with definite reference to grammatical rules. This study aimed to identify the impact of grammar competence to the proficiency of students in listening and speaking. This study used the descriptive correlation research design to establish the relationship of the students’ grammatical competence to their listening and speaking skills. Pearson's correlation coefficient (r) was used to measure the strength of relationship between the two variables- grammatical competence, and listening and speaking skills. Based on the results of the study, grammatical competence has no significant relationship to speaking and listening performance of students. The result shows that students who have low grammatical competence can still achieve average or even high performance in speaking and listening courses. grammatical competence is not a valid indicator of listening and speaking proficiency.
The use of binary digit mapping on ASCII characters to create a high-capacity, undetectable text steganography.

Plain text is commonly utilized for online news and social media transmission due to its lightweight and cross-platform nature. Unfortunately, it may easily be exploited by attackers (For instance, in cases when the language is altered for specific goals, illegal access to the material or its abuse is possible.) To solve this problem, we embed secret texts (ST) within seemingly innocuous cover texts (CT) so that we can track CT for modifications. Based on the findings of this study, a method is provided for ST embedding in CT in which binary ST digits are converted to CT binary digits through Characters in ASCII (containing whitespace, punctuation, and special characters). Before commencing the embedding procedure, Using a One-Time Pad (OTP), the ST text was translated into ciphertext, and the value of each character was changed into a binary integer with a length of seven bits. As opposed to the ST text, which required additional time to encode, the CT text could be converted into a binary integer using just the first seven bits. During the embedding process, It was decided to swap the first bit of the ST character for the first bit of the CT character, which both had the same amount of bits (putting the first bit of the ST character, for example, on the same line as the first bit of the CT character). Any piece of ST that was recorded on any bit of CT served as a stage key. Extracting ST from CT requires the stage key. The embedded information served effectively as text steganography or watermark, and the CT's appearance was unaffected by the embedding procedure. In other words, the 1 character of ST might be concealed by using 7 CT characters. Also, a Jaro-Winkler Distance of 1 meant that the stage texts made couldn't be told apart from CT by looking at them.
Blended Learning: Bagaimana Persepsi Mahasiswa?

Changes in learning methods from offline (outside the network) or face-to-face and changing to online (in the network) or online have quite a big impact as it requires adaptation efforts. Things like cost which are also not small finally make the emergence of models for Blended Leaning more used. The purpose of this study was to determine student perceptions about the implementation of blended learning. This research is a quantitative survey type research. The survey method is a method by collecting data through respondents for research samples using a questionnaire as a data collection instrument. The data collection technique used was a Likert scale questionnaire because it aims to see student perceptions of Blended Leaninglearning. Students choose one of the available options according to what they experience during Blended Leaninglearning. Data analysis techniques in this study were carried out by reducing data, presenting data and drawing conclusions. The results of this study are that most students prefer direct classroom learning because they can better understand the lessons and can also receive direct guidance from the lecturer. Online learning is felt to be less effective by students because learning is difficult to understand and limited access is used when studying such as students' lack of understanding of IT and also internet networks that do not support online learning. So that the information that is obtained is not complete and the learning process does not go well so that it affects learning outcomes which of course are also less than optimal.