Reviewerly/exHarmony huggingface dataset:
Konflik Sosial dan Budaya dalam Novel “Sekeping Cinta Untuk Yola” Karya Abas sebagai Bahan Ajar Sastra di Sekolah Menengah Atas

This study aims to describe the novel “Sekeping Cinta Untuk Yola” written by Abas including: (1) social conflict; (2) cultural conflict; (3) implication to the learning process in Senior High School. The method implemented in the study is qualitative-descriptive with the literature sociology approach by Rene Wallek &amp; Austin Warren (Sujarwa, 2019:40). The results of the study show that there are social conflict, cultural conflict, and implications to the learning process in Senior High School. First, there are 5 social conflicts discovered in the novel which are 5 related to affection, 5 related to responsibility, and 5 related to life’s harmony. Second, cultural conflict discovered in the novel which are 6 (15%) economy conflict, 5 (12%) local custom conflict, 10 (24%) religious conflict, 5 (12%) social status conflict, 2 (5%) cultural conflict, 4 (10%) sciences conflict, and 9 (22%) arts conflict. The conflicts attached to the novel “Sekeping Cinta Untuk Yola” written by Abas dominated by religious conflict with 24% and cultural conflict as the lowest with 5%. Third, implementations of learning materials including language aspect, psychological aspect, and cultural values. The novel is able to enhance student’s knowledge in Indonesian vocabulary, to comprehend the student’s capability which fits with its psychological development, and to represent the cultural values of society. In conclusion, this study perceives that novel “Sekeping Cinta Untuk Yola” written by Abas has the compatibility to be included in Indonesia literature learning materials for Senior High school. Keywords: social and cultural conflicts, novel, literature learning materials, Senior High School.
Analisis Kesalahan Berbahasa dalam Pemberian Komentar di Media Sosial Instagram (Kajian Psikolinguistik)

Errors and mistakes of language in administering on social media Instagram (psycholinguistic study) Thesis: Jakarta; Postgraduate Faculty; Indonesian language education program; University of Indraprasta Teacher Association of the Republic of Indonesia. The purpose of this study is to find out the existence of the errors and mistakes of language in giving comments on the social media Instagram and the impact of language errors and mistakes in the comment sections on social media Instagram (a psycholinguistic study). The research method used is an analysis of qualitative-based errors and mistakes in the form of documentation of content analysis techniques. The results show, language comprehension of the background knowledge and the linguistic knowledge is regarding phonology, syntactic, and semantics. Most errors and mistakes are found in the syntactic and semantics fields. Keywords : Language Errors, Language Mistakes, Psycholinguistics, Language Comprehension.
Structure Guided Proposal Completion for 3D Object Detection

3D object detection from point clouds is one of the key components in autonomous driving. Current two-stage detectors generate a small number of proposals, and then refine them in the second RCNN procedure. However, due to the inherent sparsity of point clouds, the first stage may predict some low quality proposals with incomplete structure and inaccurate localization. These low quality proposals fail to obtain adequate and precise proposal features which are essential for the following refinement, inevitably degrading the overall detection performance. To alleviate this problem, we propose Structure guided Proposal Completion (SPC) for 3D object detection from point clouds. Specifically, two completion strategies are developed to obtain high quality proposals: one is Structure Completion, in which a group of structural proposals are obtained by traversing most structures, and thus at least one proposal with ground truth similar structure can be guaranteed. The other is RoI Feature Completion, which is used to fill the empty area of proposals with virtual points under structure-aware manner. With the proposed SPC, high quality proposals with clearer structure and more precise localization can be obtained, and further promote the RCNN to perceive adequate proposal features. Extensive experiments on KITTI benchmark demonstrate the effectiveness of our proposed method, especially for hard setting objects with fewer LiDAR points.
Calculating Consultation Time by Mobile Phone and Comparing to Perceiving Time in Primary Health Centers in Erbil City

Background: The consultation time reflects the level of responsiveness of the health care system. If the time is too short, the risk of misdiagnosis and mistreatment will increase. The consultation time in primary health care centers of Iraq is not measured by any formal institution Because of the lack of governmental monitoring on the services that are introduced by these primary health care centers.
ComNet: A Deep Convolutional Neural Network Capable of Classifying Compound Bengali Handwritten Characters High Number of Classes in a Data-Scarce State

Handwritten character recognition has been a well-studied problem for decades among researchers. Even though there exist character recognition systems for some non-cursive languages like English, this hasn’t been as much successful for cursive languages yet. Bengali, being a cursive language, has another complication up its sleeve which is numerous number of compound characters. These facts make it very difficult to classify accurately even for a modern Deep Convolutional Neural Network (CNN). Deep CNNs thrive when plenty of data are available to optimize their parameters and don’t perform so well in a data-scarce situation. In this paper, we studied both the aspects, of data scarcity and the cursive compound nature of the Bengali language. We created a Deep CNN called ComNet with EfficientNetB7 and an additional regularization layer, which achieved an accuracy of 92.42% and outperformed baseline DenseNet201 architecture which managed only 79.42% accuracy on our in-house 267 class augmented compound handwritten character dataset called Juktakkhor. Without augmentation, deep learning algorithms suffer. ComNet also suffers since the dataset has a large number of classes with quite a low number of data per class. ComNet achieved 41.16% accuracy on the non-augmented Juktakkhor dataset, while baseline DenseNet201 achieved 39.89%.
Pengembangan Media Pembelajaran Berbasis Multimedia Interaktif Menggunakan Macromedia Flash Pada Materi Aritmatika Sosial

Research and development include the development of Interactive Multimedia-Based Learning Media Using Macromedia Flash. This study aims to produce learning media that are tested valid. The data collection instrument in this study was a validation sheet. The data used to assess the validity of the learning media was obtained through a validation sheet with a Likert scale and a Guttman scale. The data analysis technique used is descriptive analysis. Validation data from 2 lecturers and 1 teacher. The study's results obtained the results of the validation of learning media, equal to 87.17%, with a very valid category. The study's results that Interactive Multimedia-Based Learning Media Using Macromedia Flash on Social Arithmetic Materials for Class VII were very valid.
FORMATION OF PROFESSIONAL AND PEDAGOGICAL CULTURE OF FUTURE TEACHERS

The article reveals the role and place of professional and pedagogical culture in the training of a teacher of a higher education institution. Professional-pedagogical culture is a special formation, a dialectical integrated unity of pedagogical values, between which there are certain connections and relationships that are formed, implemented and improved in various types of professional-pedagogical activity and communication, determining the nature and level of the latter. Increasing the level of professional and pedagogical culture of the future teacher is considered as the result of improving the creative and personal potential of the specialist. In the process of formation of professional and pedagogical culture, the future teacher actualizes only those values that acquire vital and professionally necessary meaning for him. On this basis, an image of the cultural personality of the future professional is formed in his mind as a set of goals, ideas, and attitudes that adjust the individual experience of cultural practice and related experiences, beliefs, connections and relationships. Assimilating and transforming socially necessary and social group values, the future teacher builds his own system of values and develops a personal and professional concept of the meaning of professional activity. This requires updating the content, methods and forms of pedagogical training in order to form the personality of a professional teacher who is able to think independently and creatively. It should be based on an individual approach and a research-oriented paradigm. The research-oriented paradigm is characterized by: creating an environment of search and creativity; the implementation of modern innovative interactive information technologies of training in the preparation of future specialists of the highest educational qualification level "master's"; formation of readiness for professional self-development (the need and ability to think independently, the ability to navigate in a new cognitive situation, to see the problem and ways to solve it, to strive for self-development, self-improvement).
The Contribution of Guidance to English Learning Motivation

The purpose of this research is to describe the relationship between learning guidance and learning motivation. This study appliaed descriptive correlational research type. The data was obtained from 75 students as the samples by random sampling technique. The instrument used in this research was questionnaire. The data was analyzed by using SPSS program. The result of this study shows that the correlation between gudance and learning motivation was 0.30. The contribution of guidance was 9% to learning motivation variable.&#x0D; Keywords: English learning; learning guidance; learning motivation
UI/UX Design Web-Based Livestock Sale Using Design Thinking to Rapid Prototyping

The livestock sector is one of the income sources for people in Laupakam Village who are engaged in poultry farming, goats, buffaloes and other types of livestock planning to sell and market online but are constrained by website-based application information systems to sell and market various livestock products. In addition, the sale of livestock that is commonly done is also still traditionally done such as selling around the village using a freight car or marketing in traditional markets which slows down sales and does not guarantee sales. Based on the above problems, the author provides a solution by designing a user interface user experience website for livestock sales that creates the final result in the form of a prototype and can be used directly to users for the testing stage. So that with this design it can make it easier for people to sell and buy livestock products and easily and to improve the economy in Laupakam Village. This design process uses the design thinking method which includes five stages, namely empathize, define, ideate, prototype, and test. Then testing in this study includes aspects of effectiveness, efficiency and user satisfaction using the usability testing method. Based on these tests, the effectiveness aspect obtained a value of 78.9%, the efficiency aspect obtained a value of 85% and the user satisfaction aspect obtained a value of 82.7%. So, the design of the livestock sales website solution gets a value of 81.78%, this value is included in the very good category.
Digital Image Cryptography using Index Keys

A simple and easy to implement method of data cryptography will be introduced. This method can be easily used to encrypt-decrypt digital images with any type and size, it can be used to treat gray images, color images and secret messages. The simplified encryption and decryption function will minimize the required time for cryptography and they will use a simple operation of pixels’ values rearrangement to apply encryption and decryption. The values rearrangement is to be applied using a generated index key. The index key is generated using the chaotic logistic key formed by running a chaotic logistic map model using a selected values of chaotic parameters. The proposed method will increase the level of image protection by using a private key which is capable to increase the key space to resist hacking attacks. The proposed method will be tested and implemented using various images, the obtained results will be analyzed to prove the quality, efficiency and sensitivity of the proposed method.
The use of digital technologies in distance education of students with specialization "Special Education"

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
Use of information technologies in the training of future specialists in the document and information industry

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
Information technologies and modern educational space

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
A Neutrosophic Adaptive Recurrent Neural Network for Time-Varying Matrix Inversion

Recently, extensive research has been carried out on the convergence and robustness of a unique class of recurrent neural networks known as zeroing neural networks (ZNN). ZNN dynamics has proven to be highly effective at tackling a wide range of time-varying problems in science and engineering. The use of fuzzy logic systems (FLS) in improving ZNN dynamic systems has been shown to be effective in recent research. neutrosophic logic system (NLS) is known to be a more general and efficient approach than FLS. An improvement of the ZNN design for tackling time-varying matrix inversion problems is proposed in this paper by using an appropriately defined NLS. Particularly, a suitable value obtained as the output of an appropriately designed NLS can be used to dynamically adjust the gain parameter contained in ZNN architecture over time to speed up the convergence of the ZNN model. Numerical experiments show that the NLS-based ZNN model is more effective than the equivalent traditional ZNN model in defining the varying-gain parameter.
MONITORING MONKEYPOX DISEASE USING AI AND ML

Monkeypox outbreaks have been detected in 75 countries so far, and they are rapidly expanding over the world.While the skin lesions and rashes of monkeypox frequently resemble those of other poxes, such as chickenpox and cowpox, their clinical characteristics match those of smallpox.Because of these similarities, it might be difficult for medical practitioners to diagnose monkeypox simply looking at the visual characteristics of lesions and rashes.Healthcare workers also lack expertise because monkeypox was uncommon prior to the current outbreak.The scientific community has expressed a growing interest in employing artificial intelligence (AI) to diagnose monkeypox from digital skin photos as a result of AI's success in COVID-19 identification.The bottleneck for employing AI in monkeypox detection, however, has been the scarcity of monkeypox skin picture data.The Monkeypox Skin Image Dataset 2022, the largest of its sort to date, was thus recently released.Also, in this research, we make use of this dataset to examine the viability of detecting monkeypox on skin photos using cutting-edge AI deep models.According to our work, deep AI models can identify monkeypox with an 85% accuracy rate from digital skin pictures.More training samples are needed to train those deep models in order to achieve a more robust detection power.
Review Article: Metaverse for Today

The paper is devoted to the review of metaverse nowadays. The purpose of the work is to illustrate the state of metaverse in modern time. What did Mark Zuckerberg mean when declaring such an idea, what it is and whether it is possible in the modern world, in the modern world, and not in the reality that exists in the book. The article deals with the concept of virtual reality and the metauniverse. It delimits and describes the basic structure that it has today. The studies of other scientists and arguments as a possibility of the existence of such a concept are given. the article considers the metauniverse and virtual reality, differentiated the concept and determined that virtual reality acts as a substratum of the metauniverse, the latter of which has the character of an "immeasurable" storage. In the current realities, there is no technology that would allow it to be implemented in the form in which it is presented.
A Systematic Literature Review on Security Challenges In A Hybrid Cloud Database

Cloud computing paved the way to many technical facilities for companies to develop their business needs in more effective and efficient manner. Combining private and public cloud into so called Hybrid cloud has made a positive leap in business by allowing applications and data to be shared among enterprises. However, many challenges and issues have arisen when adopting the hybrid cloud to manage, store and process data. The most critical one of these challenges is the security of the adopted Hybrid cloud. This research presented a comprehensive study about the security challenges in the Hybrid cloud computing as well as the suggested solutions. The study used a Systematic Literature Review (SLR) process to collect, review and summarize published articles from IEEE and Springer Nature databases and between 2020 and 2021. As a result, there were 7 eligible articles selected according to the search criteria and fully reviewed. The findings have revealed that there are four main challenges which are Data Security, Access Control, Privacy, Data Leakage and Cy- ber Attacks. Future studies should be conducted using different databases to have further investigation regarding the security in Hybrid clouds.
A Fast Algorithm for Finding a Maximal Common Subsequence of Multiple Strings

For any m strings of total length n, we propose an O(mn log n)-time, O(n)-space algorithm that finds a maximal common subsequence of all the strings, in the sense that inserting any character in it no longer yields a common subsequence of them. Such a common subsequence could be treated as indicating a nontrivial common structure we could find in the strings since it is NP-hard to find any longest common subsequence of the strings.
A Novel Approach: Tokenization Framework based on Sentence Structure in Indonesian Language

This study proposes a new approach in the sentence tokenization process.Sentence tokenization, which is known so far, is the process of breaking sentences based on spaces as separators.Space-based sentence tokenization only generates single word tokens.In sentences consisting of five words, tokenization will produce five tokens, one word each.Each word is a token.This process ignores the loss of the original meaning of the separated words.Our proposed tokenization framework can generate one-word tokens and multi-word tokens at the same time.The process is carried out by extracting the sentence structure to obtain sentence elements.Each sentence element is a token.There are five sentence elements that is Subject, Predicate, Object, Complement and Adverbs.We extract sentence structures using deep learning methods, where models are built by training the datasets that have been prepared before.The training results are quite good with an F1 score of 0.7 and it is still possible to improve.Sentence similarity is the topic for measuring the performance of one-word tokens compared to multi-word tokens.In this case the multiword token has better accuracy.This framework was created using the Indonesian language but can also use other languages with dataset adjustments.
Can Bitcoin Become a Hedge, Diversifier, or Safe-Haven for Emerging and Frontier Stock Markets?

The popularity of Bitcoin increases with time and investors take it as an alternative investment due to continuous financial instability and uncertainty throughout the world.It can be an alternative not only for developed markets but also for emerging and frontier markets.Prior to now, researchers focused solely on developed markets.For this purpose, the present paper has explored the answer to the question of whether Bitcoin enables a hedge or diversifier or safe-haven against emerging and frontier stock market indices.Instead of previous analyses, here we have examined constancy relationships as well as time-varying relationships between Bitcoin with four stock indices of emerging and frontier stock markets of four different countries.We have applied the GJR-GARCH method to find the answer to the question, and we have also applied the Threshold Autoregressive (TAR) model for cross-validation of the findings.Our empirical results have shown that Bitcoin has safe-haven abilities are in normal and turmoil market situations for emerging and frontier stock markets.Also, we have found evidence of hedging and diversification properties.
Corrigendum

1. The symbol of Figure 2b (the symbol F ̂ $\hat F$ in the former version is F, which is not precise) should be corrected. The revised version of Figure 2b is as follows: 2. In algorithm 1, initialize part, the R ( 0 ) = B − A X ( 0 ) ${R^{(0)}}{\rm{ = }} B - A{X^{(0)}}$ should be moved to the first step in algorithm 1, that is, ‘1: Compute P ( 0 ) = R ( 0 ) ${P^{(0)}} = {R^{(0)}}$ ’ should be revised as ‘1: Compute R ( 0 ) = B − A X ( 0 ) ${R^{(0)}}{\rm{ = }} B - A{X^{(0)}}$ , P ( 0 ) = R ( 0 ) ${P^{(0)}} = {R^{(0)}}$ ’. 3. In algorithm 2, the fourth step, F ( k + 1 ) = F C ( k + 1 ) + F T ( k + 1 ) ${F^{(k + 1)}}{\rm{ = }}F_C^{(k + 1)}{\rm{ + }}F_T^{(k + 1)}$ should be revised as F ̂ ( k + 1 ) = F C ( k + 1 ) + F T ( k + 1 ) ${\hat F^{(k + 1)}}{\rm{ = }}F_C^{(k + 1)}{\rm{ + }}F_T^{(k + 1)}$ , and in the 15th step, the F ( k + 1 ) ${F^{(k + 1)}}$ should be revised as F ̂ ( k + 1 ) ${\hat F^{(k + 1)}}$ . 4. Figures 5a to 5h should be replaced with the figures as follows. The partial enlarged part is the eye of Lena. What's more, the sub-title of Figure 5b should be revised as ‘Lena512’ under 20% noise level interference. 5. The title of Figure 6 ‘Dynamic iterative diagrams of the PSNR, SSIM, and GMSD values of Lena512 under different noise levels’ should be revised as ‘Dynamic iterative diagrams of the PSNR, SSIM, and GMSD values of Lena512 by different methods’. 6. In Section 4.4.3, the symbol W denotes the wavelet transform.