Reviewerly/exHarmony huggingface dataset:
1 Application of Artificial Intelligence Technology in Forest Motor Control Syste

In forestry operation engineering, motor is the main energy consuming equipment. The control accuracyof motor has a great impact on efficiency and energy consumption. With the rapid development ofindustrial production, people's demand for electric energy is increasing, so it is urgent to develop andsave electric energy. As power equipment, motors are widely used in power plants and industrial andmining enterprises. Based on this, this paper studies the application of artificial intelligence technologyin motor control system. This chapter first introduces a practical constant current soft start algorithm.Then the algorithm is improved by adding a fuzzy control algorithm with self-adjusting factor. Afterselecting the membership function of input and output, the fuzzy relation is obtained according to fuzzyreasoning and fuzzy rules. The experimental results show that the fuzzy control has better responseperformance and faster regulation speed, and can achieve low power consumption and energy saving ofthe control system on the premise of ensuring the stability of the system.
Coinbase IPO, crypto’s first: What to know

Coinbase IPO: It is a platform used to trade over 50 cryptocurrencies including Bitcoin, with 56 million users it serves 7,000 institutional customers.
Vocational Orientation of the Mentally Retarded Children at the “Art Ceramics” Studio

The article deals with the role of art education for the purpose of vocational orientation of the mentally retarded students.Vocational orientation is the first major step in the complex system of the measures targeted at social and professional adjustment of the mentally disabled people, and it complies with the principle of equal opportunities for professional development and social advancement of all students.The authors describe the principles and methods of maintaining the art ceramics studio in which students gradually learn about different technological processes and modeling techniques, develop their professional skills related to the processing of materials, decorating ceramics, using different tools, which is believed to be an integral aspect of the vocational orientation of the mentally retarded children.The results of the experimental research on the vocational orientation of the mentally retarded students at the "Art Ceramics" studio in the special education school in Shuya, Russia are presented.
RF Fingerprint Feature Extraction and Recognition Algorithm Based on Double-Maximal

The proposed double-maximal radio frequency (RF) fingerprint feature extraction algorithm in this paper is aimed at the imperfect signal with noisy signal. It can achieve perfect recognition rate when the feature dimension is greatly reduced, and the classification performance is improved. The advantage of low computational complexity and high authentication accuracy is suitable for access authentication in scenarios such as power terminals, and is well compatible with the diversified and heterogeneous characteristics of power terminals under the power edge computing.
Exploring EFL Student's Descriptive Text Based on Systemic Functional Linguistics: a Case Study at SMAN 1 KARTASURA

The purpose of this study was to identify descriptive texts written by students using the framework systemic functional linguistics. The researchers looked at three aspects, (1) generic structure, (2) linguistic features focusing on type of process within transitivity system, and (3) communicative purposes. The subjects of this study were 50 students at SMAN 1 Kartasura class XI. This study is a descriptive qualitative with a case study approach. The data were students’ descriptive text, collected by elicitation techniques namely the results of students' descriptive text. The result of the study showed students are able to apply the appropriate generic structure of the descriptive text namely identification and description. Moreover, in terms of linguistic features, the most dominant process is relational process. Further, the communicative purpose of the descriptive texts written by students such as their favourite electronics and hobbies represents the students’ daily favourite things and preference. This study can give benefits for help teachers to find out students' ability to write descriptive text using the SFL perspective based on the generic structure, linguistic features, and communicative purpose. Moreover, helps the students in learning, especially in descriptive text material.
Identification of Key Factors in Knowledge Management System Implementation in IRIB(TV)

In the modern world, if an organization wants to compete, it must be put into practice through knowledge and effective use. In such a situation, the creation of competitive advantage of the strategy requires a new kind of organization that has the ability to create quality knowledge. For this reason, managers are expected to have a profound understanding of organizational developments and enhance the performance of organizations through investing in knowledge-based projects. The most important step in this regard is to examine the effective factors in implementing knowledge management and identify its bottlenecks. In this article, key factors in the implementation of the knowledge management system in the IRIB(TV)have been identified. The present study was a qualitative study which was carried out by means of Foundation Data. In this research, snowball sampling method was used along with deep interview technique to collect information until theoretical saturation was obtained. The results showed that the key factors in knowledge management system implementation in the IRIB (TV) are: strategic knowledge-based orientation, infrastructure of information and communication systems, human resources development, participatory culture, conflicts of knowledge, knowledge compatibility day and Flexibility.
Semantic Search of Mobile Applications Using Word Embeddings

This paper proposes a set of approaches for the semantic search of mobile applications, based on their name and on the unstructured textual information contained in their description. The proposed approaches make use of word-level, character-level, and contextual word-embeddings that have been trained or fine-tuned using a dataset of about 500 thousand mobile apps, collected in the scope of this work. The proposed approaches have been evaluated using a public dataset that includes information about 43 thousand applications, and 56 manually annotated non-exact queries. Our results show that both character-level embeddings trained on our data, and fine-tuned RoBERTa models surpass the performance of the other existing retrieval strategies reported in the literature.
Creativity in crisis: are the creations of artificial intelligence worth protecting?

JIPITEC 12 (2021) 3 - Up until recently, intellectual creation and inventiveness were purely human activities, and their protection systems, that is, copyright law and patent law, have been built on the basis of motivating and enhancing human creativity. This ancient and self-evident assumption is being challenged due to AI technology today. This article explores the concept of creativity in the field of law from a legal point of view, as well as the impending serious moral and social consequences.In the field of copyright law, intellectual creation is inextricably linked with humans and cannot be replaced by any advanced AI system. This results from the legal definition of work, and in particular from the element of “originality”. The Court of Justice of the European Union (CJEU) in its rich case law validates this position. In the field of patent law, ingenuity is also associated with a natural person through the moral right of inventorship. Here, however, the inventor's intellectual endeavor derives from the field of cognition, while fields of human intellect concerning personality in general are not involved in the inventive activity nor are crucial for obtaining a patent. However, it is doubtful whether AI-generated inventions can be protected under patent law for other reasons.Furthermore, decoupling the question of creativity stresses the need for specific legal protection of AI-generated works and inventions. Legislating a sui generis right in order to boost innovation, protect competition and maintain a healthy market for intellectual creations is suggested as the best option.
Enhanced image security using residue number system and new Arnold transform

This paper aims to improve the image scrambling and encryption effect in traditional two-dimensional discrete Arnold transform by introducing a new Residue number system (RNS) with three moduli and the New Arnold Transform. The study focuses on improving the classical discrete Arnold transform with quasi-affine properties, applying image scrambling and encryption research. The design of the method is explicit to three moduli set {2n, 2n+1+1, 2n+1-1}. These moduli set includes equalized and shapely moduli leading to the effective execution of the residue to binary converter. The study employs an arithmetic residue to the binary converter and an improved Arnold transformation algorithm. The encryption process uses MATLAB to accept a digital image input and subsequently convert the image into an RNS representation. The images are connected as a group. The resulting encrypted image uses the Arnold transformation algorithm. The encrypted image is used as input at decryption using the anti-Arnold (Reverse Arnold) transformation algorithm to convert the picture to the original RNS (original pixel value). Then the RNS was used to retransform the original RNS to its binary form. Security analysis tests, like histogram analysis, keyspace, key sensitivity, and correlation coefficient analysis, were administered on the encrypted image. Results show that the hybrid system can use the improved Arnold transform algorithm with better security and no constraint on image width and size.
Predict Who:

The proposed application is inspired by “Twenty Questions” that was originated and became popular in 19th century. The proposed web application “Predict Who” is an attempt to program the game and let the system find out the personality the user is thinking of by asking him/her questions one by one. The system would ask only such questions that could be answered in “Yes”, “No” or “Don’t Know”. It is an artificial intelligent program that can pick best possible question to ask by the user and learn with time. Natural Language Processing is used for retrieving user specific information and the formulation of the queries. Internally, the data is organized on the basis of Knowledge Graph which is an intelligent model of real world entities that depicts their relations to one another as well.
STEM and STEAM in Contemporary Education: Challenges, Contemporary Trends and Transformation

This article focuses on STEM and STEAM in contemporary education as viewed by experts from different countries: Austria, Poland, Russia, Spain and Ukraine. The article aims to provide opinions, views and reflections on important topics: A. Robotics and Stem Education; B. Microlearning – Effective Methods of E-Learning, addressed by International scientific DLCC2019 conference participants (www.dlcc.us.edu.pl). The paper includes the theoretical background of the discussed topics, analysis of national and international experience, examples of practical achievements and description of contemporary trends as well as reflections and conclusions.
Human Facial Age Estimation: Handcrafted Features Versus Deep Features

In recent times, human facial age estimation topic attracted a lot of attention due to its ability to improve biometrics systems. Recently, several applications that exploit demographic attributes have emerged. These applications include: access control, re-identification in surveillance videos, integrity of face images in social media, intelligent advertising, human–computer interaction, and law enforcement. In this chapter, we present a novel approach for human facial age estimation in facial images. The proposed approach consists of the following three main stages: (1) face preprocessing; (2) feature extraction (two different kinds of features are studied: handcrafted and deep features); (3) feeding the obtained features to a linear regressor. Also, we investigate the strength and weakness of handcrafted and deep features for facial age estimation. Experiments are conducted on three public databases (FG-NET, PAL and FACES). These experiments show that both handcrafted and deep features are effective for facial age estimation.
STUDY OF THE MORPHOLOGICAL PATTERNS OF INTRACRANIAL LESIONS IN A TERTIARY CARE HOSPITAL IN HARYANA: A CLINICOPATHOLOGICAL AND IMMUNOHISTOCHEMICAL STUDY

Introduction: Central nervous system tumors comprise 1-2% of all tumours and constitute a heterogeneous group which shows a spectrum of morphological features.Although the mainstay of diagnosis including its grading remains conventional Hematoxylin-Eosinstained histopathology but it is not always straightforward and the pathologist faces diagnostic dilemmas due to overlap in morphological features and divergent differentiation within the same tumor.Immunohistochemistry (IHC) plays a major role in the differential diagnosis and in improving the diagnostic accuracy.The present study was done to determine the utility of IHC in the diagnosis and grading of brain tumors.Patients and Methods: Thestudy was carried out between January-September 2019.The demographic, clinical and imaging details of all the cases were noted.Brain tumors were diagnosed based on examination of H&E stained sections.IHC markers were applied in difficult cases for an accurate diagnosis.Results: Out of 40 cases, 95 %were primary and 5%were metastatic tumors.Headache was most common symptom and most common site was the anterior fossa.Astrocytoma was the most common diagnosis.Grading of tumors was done as per the universal grading system.IHC was done on problematic cases to reach the final diagnosis and grading.Discussion and Conclusions: This study was carried out to highlight the importance of IHC in identifying the tumor cell type and its origin in case of metastasis.IHC also helps in assessing the proliferation index of the tumor cells, excluding reactive processes,evaluating the tumor margins and as a prognostic indicator of different types of CNS tumors.
Clustering: A Conceptual Review

Clustering is a noteworthy undertaking in data analysis and data mining application. It is the errand of plan a lot of item with the goal that objects in the indistinguishable gathering clustering should be possible by various methods. This paper reviews about the overall concept of the clustering, types and its applications.
Spectral Sensitivity of Heavy Metal Concentration in Mine Soils: A case study of Gagok mine, South Korea

&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;Heavy metal contamination in soils of mining area accompanies contaminations in drainage and vegetation. The traditional soil survey methods for heavy metal contamination requires significant investment of time, labor, and money although the methods can drive accurate assessment. Moreover, the point-based survey is problematic to understand spatial distribution with limited sample numbers. Remote sensing approaches may provide alternative solutions to understand spatial distribution of contamination with minimal investment of time and labor. It is very critical to understand spectral signals associated with heavy metal concentration to apply the phenomenon to remote sensing approaches. This study investigated spectral signals associated with heavy metal concentration in mine soils based on chemical analysis, mineral composition analysis, and spectral analysis. The study site is a Pb-Zn skarn ore deposit located in Gangwon province, South Korea, where the ore was formed by granite intrusion to slate and limestone. The chemical analysis revealed that the soils are contaminated with heavy metals. Mineral composition classified the soils into two time with silicate/clay mineral group and silicate/carbonate/clay mineral groups. Spectral analysis showed that sensitive spectral bands to heavy metal concentration is located in SWIR region for silicate/clay mineral group and VNIR region for silicate/carbonate/clay mineral group. It reveals that mineral composition and geochemical reaction play an important role in spectral signals manifested by heavy metal concentration. &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Material Processes in Novel the Chronicles of Narnia (the Voyage of the Dawn Treader by c. S. Lewis)

Narnia (The Voyage of The Dawn Treader by C.S Lewis) from two chapters. They are chapter 12 and 13 based on Systematic Functional Linguistic. This research objective is to describe material processes and to describe the dominant material processes used in Novel.        The research used Library Research and focus on Material Process only, to find the theories that support qualitative methods for analyzing data. In order to analyze the data, the researcher analyzes based on SFL. The researcher takes document to classify clause, giving code, analyzing clause for collecting data which is relating with material processes. The theoretical basis used the theory of M.A.K Halliday which maintains material process is process of doing and happening. The result of this research shows that there are 107 clauses belong to material process. From the results of the analysis it was found that the material processes is more dominant. Such as come, sail¸ turn, go, order, began, trying, flying, steering, bring, left, got, sit, took and eat. There are three elements of material process, namely; actor, material process and goal. The reason why material process used in the novel to express writer’s opinion more complicated and to make learners or people are not only monotonous in knowing Traditional Grammar but should be mastered in systematic functional linguistic.
향유(鄕儒) 함인재(含忍齋) 정국채(鄭國采)의 사서경학(四書經學)

This study aimed at introducing the world of understanding of the four sacred books displayed by Haminjae Jeong Guk-chae who was born at Gyeongsangu-do (Right part of Kyongsang Province, 慶尙右道) around 19th century and was a nongovernment Confucian scholar belonging to the Old Doctrine (老論). For the foregoing, this study examined all the records of 『Lunyu(論語)』⋅『Mencius(孟子)』⋅『Daxue(大學)』⋅『Zhongyong(中庸)』 included in the collection of Jeong Guk-chae’s works『 Haminjae's Posthumous Work (含忍齋遺稿)』. Started with Jiaxue (家學), homeschooling) in his earliest days, Jeong Guk-chae went through the course of entering the world of original Confucianism (原始儒學) which is represented by four books. The understanding of the four books displayed by Jeong Guk-chae is maintaining a distance from the world of Jingxuelun (經學論) of rich contents which is concentration a series of discourses and exquisite. It is because that development of discussion in Jeong Guk-chae’s understanding is extremely simplified and ends in a one-off in many cases, falling short of full-scale hermeneutics(解釋學) of Jingzhuan(經傳, scriptures). Especially, Jeong Guk-chae placed much weight on 『Zhongyong (The Doctrine of the Mean』, confirming that an ideological footing point of discourses about 『Lunyu (Confucian Analects)』⋅『Mencius』⋅『Daxue』he landed was original Confucianism at first. To conclude, the world of understanding of the four books displayed by Jeong Guk-chae is considered to have its own historical significance in a sense that it confirms the reality of intellectual level achieved by the intellectual who was a noble countryman (鄕班) around 19th century.
LibGuides: Composition Center: Grammar Games and helpful tools (from outside Goodwin)

Here is the online portion of Goodwin University's Composition Center Here you can find some games and websites to help you with grammar
New Dimension of Education: Putting Education in “Educational” Apps

We have started using smart devices, new technologies, gadgets, apps, and multiple systems and services available over the internet long back (Kolâs, L., Nordseth, H. M usefulness, what, how and when related to available applications. Present research attempt to identify the use of educational apps among secondary school studentswith the help of survey method. Data collected from 116 secondary school students and analyzed, presented in percentage. Data reveals the usefulness of educational apps in learning process.
ANALISIS ASPEK KEJIWAAN TOKOH UTAMA NOVEL HATI SUHITA KARYA KHILMA ANIS (TINJAUAN PSIKOLOGI SASTRA

Literary work tries to describe human life, not only in relation to other humans, but also in relation to itself through the relationship of inner events. One form of literary work is novel. The birth of the novel is the creative result of the author in processing a story about life complete with various conflicts in it. Because this research is intended as a study of literary psychology to achieve the psychological aspects of the main character in the novel Hati Suhita by Khilma Anis, what will be put forward is the structure of the story which is closely related to the psychological exposure of the main character. The story structure is the characters and characterizations. As well as the story setting. Qualitative method. Namely, research procedures that produce qualitative descriptive data in the form of written or spoken words from people and observed behavior. How as much data as possible will be able to become the subject of research depends on the use of research techniques. While the approach is a literary assessment perspective. The approach is the scope of literary research. The form, content, and nature of literature as the subject of study. Until now, it seems that in literary research there is often confusion between the use of the terms method, technique and approach. As a result, there are overlapping areas of literary research. The method should involve the operational means of research. The method requires research steps that are worth following. The research results found by the researcher were in the form of the character of the main character and psychological conflicts in Khilma Anis' novel Hati Suhita. Suhita's character is good, tawadhu, smart. Al Birruni is firm, easy to change. Rengganis beautiful, smart. Aruna is good, cheerful. Kang Dharma is calm, mature. And the psychological conflict of Suhita's character is sad. Al Birruni didn't have the heart, Rengganis knew himself, Aruna was sad, and Kang Dharma was calm. In connection with conducting the research, the writer suggests that: first, literary reviewers are advised to examine more deeply the implicit and explicit values in Khilma Anis' novel Hati Suhita, because then we as readers can understand the author's message and his work in totality.