Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS ON GRAMMATICAL ERRORS MADE BY THE SECOND GRADE STUDENTS IN WRITING DESCRIPTIVE TEXT OF SMP NEGERI 12 KOTA TEGAL IN ACADEMIC YEAR 2019/2020

ANEBA, SHARL. LA.2021. 1614500030. An Analysis On Grammatical Errors Made By The Second Grade Students Of Smp Negeri 12 Kota Tegal In Academic Year 2019/2020. Research Project. English Education. Teacher Training and Education Faculty. Pancasakti University Tegal. First Advisor Yuvita M.Pd. and Second Advisor Nur Aflahatun, M.Pd.Keywords: writing, Grammatical errors, Descriptive Text.Writing is one skill that must be mastered by the students. When mastering it, the students will be able to communicate with other through several kinds of genre-based writing such as descriptive, recount, narrative, procedure and report. They need to consider about the gramatical components of English that differ from Indonesian language. This study was carried out to find out the types of grammatical errors and the source of grammatical errors in descriptive text writing made by the second grade students of SMP Negeri 12 Tegal in academic year 2019/2020. The subject of this research is the second grade students of SMP Negeri 12 Tegal From 30 students as a sample, the researcher only took 20 students' answers. The method used in this study was a case study included as qualitative research. The data was presented in descriptive analysis way and the procedure of Error Analysis used is based on Dulay’s theory. The result of the research which is categorized as less favorite so that there is a desire to know about the English language skills of second grade students in Smp Negeri 12 Tegal. especially their English writing skills. based on the UNBK ranking for Smp Negeri 12 Tegal. The research found 98 errors which are in the students writing descriptive text. It consists of false analogy with the number of errors is 13 or 14.94 %, misanalysis with the number of errors is 25 or 28.73 %, incomplate rule application with the number of errors is 7 or 8.04 %, exploiting redudancy with the number of errors is 11 or 12.64 %, overlooking coocurrence restrictions with the number of errors is 11 or 12.64 %, and overgeneralization with the number of errors is 12 or 13.79 %. Based on the total result types of errors, the researcher found that misanalysis is the highest errors which is made by the students.
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers.

Nowadays, analysis of transparent images in the field of computer vision has gradually become a hot spot. In this paper, we compare the classification performance of different deep learning for the problem that transparent images are difficult to analyze. We crop the transparent images into 8 * 8 and 224 * 224 pixels patches in the same proportion, and then divide the two different pixels patches into foreground and background according to groundtruch. We also use 4 types of convolutional neural networks and a novel ViT network model to compare the foreground and background classification experiments. We conclude that ViT performs the worst in classifying 8 * 8 pixels patches, but it outperforms most convolutional neural networks in classifying 224 * 224.
Optimizing the Fuzzy Membership Function in SAW to Detect Types of Psychopaths

The use of a decision support system (DSS) can assist in making decisions quickly and precisely according to targets. Many problems that occur can be solved by using SPK, one of which is to determine psychological disorders, in this case to determine the type of psychopath where there are many psychopathic sufferers and difficult to detect. The algorithm that can be used in a decision support system is to use the Optimized Simple Additive Weighting (SAW) Algorithm with the Fuzzy membership function. In this paper, a case analysis is analyzed, namely determining psychological disorders by asking several questions so that the results of this study are a conclusion about psychological disorders, especially psychopaths, including: primary psychopath, secondary psychopath, distempered psychopath and charismatic psychopath which are obtained from the highest score of each. decision making process.
Improving the professional and pedagogical activity of primary school teachers

The article examines the importance of improving the pedagogical culture of a primary school teacher in the context of improving the educational environment of the school, reveals the specificity and significance of the municipal methodological service for increasing the pedagogical culture of teachers, as well as the effectiveness of its use in the real conditions of the modern educational environment of the school.
An Information Identification Method for Venture Firms Based on Frequent Itemset Discovery

In recent years, the emergence of a large number of venture firms has brought great profits to venture capital firms. However, it is not easy to identify venture firms with investment prospects. Therefore, based on frequent item sets, this paper mainly mines the enterprise text information to identify the venture enterprises with investment prospects. Firstly, we use TF-IDF algorithm to extract keywords from enterprise text; Secondly, the word2VEC model is used to vectorize the text keywords, and cosine similarity is calculated with the word vectors in the keyword database; Finally, we use the Apriori algorithm to find frequent item sets and generate association rules, complete vector weighting calculation of combination keywords, and finally retain the first three words or phrases with the highest weight as the identification keywords of the enterprise, thus determining whether the enterprise is a risk company with potential investment prospects. Experimental results show that the proposed method is effective.
NASA Earthdata Knowledge Base

Prototype work for connecting together the main elements of Earth Observation knowledge and context in a way that is: machine-readable, human-usable and curatable. Using the latest in graph technologies and cloud managed services.
Comparison of Convolutional Neural Networks with Feature Extraction Methods for Depth Map Classification

In this paper a comparison between feature extraction methods (Radon Cosine Method, Canny Contour Method, Fourier Transform, SIFT descriptor and Hough Lines Method) and Convolutional Neural Networks (proposed CNN and pre-trained AlexNet) is presented. For evaluation of these methods depth maps were used. The tested data were obtained by Microsoft Kinect camera (IR depth sensor). The feature vectors were classified by the Support Vector Machine (SVM). The confusion matrix for evaluation of experimental results was used. The row of confusion matrix represents target class of tested data and the column represents predicted class. From the experimental results is evident that, the best results were achieved by proposed CNN (97.4%). The feature extraction methods reached up to 91.9% (Radon Cosine Method). The pre-trained AlexNet scored 93.7%.
Research on master data recognition of TCM based on analytic hierarchy process

Abstract With the rapid development of information technology in the field of medical and health, the requirement for information sharing was higher and higher. TCM plays an irreplaceable role in promoting health development. The information of TCM was represented by the construction, application and data sharing of information system, and faced complicated problems. Data environment, standardized data management requirements and data standards were very important. In the field of TCM, the main line was about "TCM information integration standardization, TCM standards into information", while the main data was taken as the basis of data standardization. This paper through the investigation and summary of the existing information system and data items, according to theoretical research of main data recognition by scholars, discussed the main data identification method by using analytic hierarchy process, and extracted the main data, so as to improve quality of data management and optimize data management environment.
An enhanced ENCIPHER to encrypt large text &amp; image using basic arithmetic and logic operation with substitution-transposition

In this digital era of every possible computation, information sharing, classic to modern device inter-connectivity, of threats and attacks, of cybercrimes and ethical fraud, there is hardly any area where security is of no concern. The information is power and it has to be controlled while flow through a cascade of networks. This tall reliance of both organizations and people on the data makes it very fundamental. This, in turn, has driven to a increased mindset for secure information including ensuring the genuineness of information and messages, and to secure frameworks from network-based assaults. Thus cryptography has developed itself to give its best effort to eliminate all the vulnerable attacks as part of network security. In this work we are proposing an enhanced cipher that uses the basic capability of its previous version but now with more challenges including large text character base and image. This proposed method makes cryptanalysis indeed more troublesome using “Random Number as key” and slightly different concept to arrange of encryption rounds and keys for ultimate scrambling the plain text. This time Unicode character set is used which eliminates the limitation of encryption to only a small size data. Also makes algorithm suitable for image encryption as image is just an array of bytes. It also allows key exchange between receiver and sender automatic by adding key with the message itself at random locations (like in the middle of two halves decided again on the basis of random number).
The Futurist Tradition in Contemporary Russian Artists’ Books

One important area of activity within Russian Futurism was the creation of artists’ books. The production of books as unique works of art gave the movement a special imprint. This type of creativity did not stop in the 1920s, but is still developed by modern artists working in the field of the livre d’artiste. Some of the works created by the Russian Futurists became classics of the genre. This heritage had an impact on a great many contemporary Russian writers and has influenced practically all artists working in this domain. In this essay, I analyse a number of directions that can be found in contemporary Russian artists’ books: creative re-interpretations of works originally produced by Futurists in the 1910s and 20s; artist-writers executing original works that contain clear references to Futurist aesthetics; the use of handwriting rather than type to allow the readers to immerse themselves in a work of art and share an imaginary space with the author; the use of non-traditional materials such as old wallpaper, cardboard or wrapping paper to print on; collaborative projects that act as an homage to the historical avant-garde, such as Mayakovsky - Manifesto, held in Saint Petersburg in 2013
Blockchain for secure IoT and edge computing: A survey

Blockchain is a buzzword that is enhancing the applicability of various technologies by providing them with security features. Blockchain supports Internet of Things (IoT) based devices by providing integrity and privacy to the data being produced. A massive number of such devices exist, which are generally low powered. To provide a computing environment for these devices, edge computing plays a very major role. Blockchain also consumes a lot of computation resources for mining a block. The edge computing supports blockchain and mobile devices by providing features such as low latency, local proximity, mobility support to the latency-sensitive, and compute-intensive applications. In this paper, the integration of these technologies is discussed, proliferating in various areas. Study area, techniques/algorithms used, problems, and solutions on the collaboration of these technologies are investigated. This paper explores the integration of IoT, mobile-edge-computing, blockchain, and it is evident that various technologies will be benefited.
Library Guides: Diverse STEM Reading: a Layer Cake of Problems: Works of fiction

Discover some of the diverse STEM books, documentaries, podcasts, and other items available from the ISU Library and on the web, and learn how to find more of these materials. This guide was made to accompany a 2021 ISCORE presentation.
CT image denoising using bilateral and wavelet based thresholding

The nature of Computed Tomography (CT) images assumes a significant job in clinical science. Thusly, this paper incorporates a denoising procedure where bilateral filter and wavelet parcel based thresholding are used. The results of the proposed calculation are analysed and furthermore tried with comparative existing ongoing calculations. The outcomes are assessed as far as visual investigation and furthermore utilizing execution measurements, for example, PSNR. From result examination, it was analysed that a large portion of the cases, the aftereffects of proposed plot is better in contrast with existing plans.
Best Wireless Gaming Keyboard and Mouse Combo

If your gaming keyboard has never gotten a compliment, then it’s time for a change and a wireless gaming keyboard and mouse combo is the best pick. ...
Access Usage and Design of Social Networking Sites by Sri Venkateshwara Engineering College Students, Chennai: A Study

The study high lights the use and impact of social networking sites. Data was collected by means of Questionnaire that was circulated among the Sri Venkateshwara Engineering College students randomly. The survey is about social networking’s use of access, usage, and design in creating Social Networking Sites knowledge among engineering professionals. The maximum of the respondents 50(90.03%) having a account on Face book and the minimum of 8(15.68%) of the respondents in Twitter respectively. This paper will be therefore able to review the available literature to study and present both the positive and negative impacts of online networking on the most high in demand segment of our society.
Advanced encoding scheme for security

Encryption is a process of creating cypher text from plain text. In this process, plain text is the input and cypher text are the output. Decryption is complete opposite of encryption, it’s the process of converting cypher text again to plain text using a secret encryption key. There are various types of encryption and decryption processes classified based on their respective methods. Here, we present an encoding algorithm based on ASCII values of text entered. The secret key in this method is designed in such way that it becomes more difficult for any intruder to crack the encryption process. And as result we will get an encrypted text which will be impossible to understand until you have secret key. At the process of decryption, just have reversed the steps and by using secret key, plain text can be returned.
A confirmatory analysis of the prevention insider threat in organization information system

Many issues related to insider threat in organization had been debated ever since. Although insider attacks may not occur as frequently as external attacks, they have a higher rate of success, go undetected, and pose a much greater risk than external adversaries. In relation to that, it is undeniably the fact that many mechanisms have been proposed to be an initiative to protect data from outside attacks. However, those mechanisms could not protect data from authorized users who may misuse their privileges. Due to that circumstances, the development of mechanisms that protect sensitive data from insiders somehow become pitch demand as in method to prevent harm caused by malicious insiders. The method of this research is the quantitative method using a questionnaire. The findings have contributed to developing a framework that will be used to prevent insider threat in an organization in the future.
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval

With the need of fast retrieval speed and small memory footprint, document hashing has been playing a crucial role in large-scale information retrieval.To generate high-quality hashing code, both semantics and neighborhood information are crucial.However, most existing methods leverage only one of them or simply combine them via some intuitive criteria, lacking a theoretical principle to guide the integration process.In this paper, we encode the neighborhood information with a graph-induced Gaussian distribution, and propose to integrate the two types of information with a graph-driven generative model.To deal with the complicated correlations among documents, we further propose a tree-structured approximation method for learning.Under the approximation, we prove that the training objective can be decomposed into terms involving only singleton or pairwise documents, enabling the model to be trained as efficiently as uncorrelated ones.Extensive experimental results on three benchmark datasets show that our method achieves superior performance over state-of-the-art methods, demonstrating the effectiveness of the proposed model for simultaneously preserving semantic and neighborhood information.
Research on the Teaching Mode of Online and Offline Blended College English Listening and Speaking Class

With the development of society and the rapid changes in science and technology, Internet + has entered the core of various industries. In this era, the online and offline hybrid teaching model of university classrooms has also emerged and quickly. It is listed as one of the important methods of college course teaching, and its role is particularly obvious in the teaching of college English listening and speaking courses. The traditional blended college English teaching model has always been based on the teacher-centered, teaching material resources and classroom teaching combination, the teaching structure is single, teaching resources are relatively scarce; and online and offline blended teaching can not only effectively optimize English teaching resources , mobilize the enthusiasm of teaching and learning, it can also help the teacher team to develop and innovate teaching methods; the article starts with the necessity of the online and offline hybrid teaching mode of college English, and briefly explains the online and offline hybrid college English listening and speaking courses implementation measures of the teaching model.
Kesiapan Masyarakat Semarang dalam Pemanfaatan Potensi Energi Surya sebagai Sumber Energi Alternatif Berkelanjutan

Electricity needs in Indonesia increase along with the growth of population, industry, and infrastructure development, which influences the availability of electricity in future generations. Semarang City is one of the big cities in Indonesia that requires electrical energy to support community operations and development. This study aims to explain the solar energy potential in the Semarang city, and to identify Semarang community readiness in the utilization of solar energy sources. Energy potential data was collected using direct observation, while data on community preparedness were obtained by distributing questionnaires. This research was analyzed descriptively qualitative. The results of the study explain that the potential of solar power plants is 5.4 KWH. In addition, the overall level of readiness of the city of Semarang is classified as high level of readiness (72.50%), with values of awareness of 82.5%(high) and knowledge of 67.25% (moderate).
The Development of Pocket Book as a Learning Media to Increase Students’ Understanding about Personal Pronoun (ADDIE Model at SMPN 26 Kota Serang (R & D)).

Iyas Sutini (161230023). The Development of Pocket Book as a Learning Media to Increase Students’ Understanding about Personal Pronoun (ADDIE Model at SMPN 26 Kota Serang (R & D).The objective of this research is to find how to develop English learning media in the form of a pocket book on Personal Pronoun material and find whether student understanding can increase after learning English using this pocket book. The research is done at SMPN 26 Kota Serang. This research used Research and Development (R & D) using ADDIE model which include 5 phases: Analysis, Design, Development, Implementation, and Evaluation; and used n-gain for knowing the category of increase of students’ understanding. The validity of learning media was validated by material expert, media expert and English teacher. For knowing the increase of students’ understanding, the writer used pre-test and post-test to 20 students of second grade. Data obtained from the questionnaires and test were analysed by descriptive qualitative and quantitative. The level of the validity of the Pocket Book according to the assessment was: 1) by the material expert, the mean score was 4.2 with category “valid”, 2) by the media expert, the mean score was 4.7 with category “valid”, 3) by the English teacher, and the mean score was 3.79 with category “enough valid”. The average students’ score was increase from 41 to 64.5. Based on the analysis of N-gain values obtained 0.4, it is concluded that the pocket book can increase students’ understanding about Personal Pronoun material in medium category.
(Re)using Content Between Notebooks and Beyond

Summary The analysis and explanations in Jupyter Notebooks are often required in other reports, presentations, papers, or tutorials. Currently, content is duplicated through copy/paste, loosing any ability for linked updates, versions or downstream contributions. We introduce a tool, curvenote.com, that enables the “import” of cells between notebooks and editing of that content in a new interactive writing platform.
Castom Trailer For Multiplayer

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Elementary School Teachers’ Perceptions on English Teaching in Cirebon

In 2013 Curriculum , English is not explicitly mentioned as one of the subjects at the Elementary School level. Thus, the schools are not required to teach English to their students. However, some elementary schools still include English as one of the subjects and classroom teachers as an English teacher. Therefore, this research was aimed to figure out elementary school teachers’ perceptions on English teaching and school policy background in teaching English. This research used the descriptive method with questionnaires and interviews as the research instruments. The respondents of this research were 100 elementary schools and 11 principals. The result of the study revealed that most of the teachers assume that English is needed by elementary school students. The elementary school period is considered the best time to learn English, and they believe that English specialist teachers will be able to teach English better than the classroom teachers do. The data of interviews with 11 principals showed that 4 of 11 elementary schools still conducted English teaching and 7 schools did not implement English teaching because English is excluded from the 2013 Curriculum. All of the principals stated that the main problem of the implementation of English teaching at Elementary school was the availability of English specialist teachers.
Sumatra Map Reworked V2.8 Save Game Profile [1.36.X]

Here you have a Save Profile for Reworked Map Sumatra 2.8 ETS2 1.36 / 1.37 Money All skills Garages All Truck dealers Level 60 All cities