Reviewerly/exHarmony huggingface dataset:
Initial coin offerings

Initial coin offerings (ICOs) gained popularity in 2017/2018, enjoying the benefits of the hype created by Bitcoin’s record values. This chapter explores the concept of a cryptocurrency and how ICOs have been used to launch countless cryptocurrencies. The advantages and disadvantages of ICOs are considered from the perspectives of the ICO issuer and of the investor, criminal threats are considered, and the regulatory response of the United Kingdom is identified. Cryptocurrencies are a category of virtual currency. The term virtual currencies used alone refers to any currencies, which exist solely in electronic form, having no official physical form. The degree of control exercised may vary according to the practices of the administrator and whether the currency is convertible or not. Bitcoin warrants particular attention due to its high value in fiat currency and because it is the forerunner to the growth of cryptocurrencies.
An Embedding-based Joint Sentiment-Topic Model for Short Texts

Short text is a popular avenue of sharing feedback, opinions and reviews on social media, e-commerce platforms, etc. Many companies need to extract meaningful information (which may include thematic content as well as semantic polarity) out of such short texts to understand users’ behaviour. However, obtaining high quality sentiment-associated and human interpretable themes still remains a challenge for short texts. In this paper we develop ELJST, an embedding enhanced generative joint sentiment-topic model that can discover more coherent and diverse topics from short texts. It uses Markov Random Field Regularizer that can be seen as generalisation of skip-gram based models. Further, it can leverage higher order semantic information appearing in word embedding, such as self-attention weights in graphical models. Our results show an average improvement of 10% in topic coherence and 5% in topic diversification over baselines. Finally, ELJST helps understand users' behaviour at more granular levels which can be explained. All these can bring significant values to service and healthcare industries often dealing with customers.
Region Filling with Super Resolution Algorithm

Region filling which has another name inpainting, is an approach to find the values of missing pixels from data available in the remaining portion of the image. The missing information must be recalculated in a distinctly convincing manner, such that, image look seamless. This research work has built a methodology for completely automating patch priority based region filling process. To reduce the computational time, low resolution image is constructed from input image. Based on texel of an image, patch size is determined. Several low resolution image with missing region filled is generated using region filling algorithm. Pixel information from these low resolution images is consolidated to produce single low resolution region filled image. Finally, super resolution algorithm is applied to enhance the quality of image and regain all specifics of image. This methodology of identifying patch size based on input fed has an advantage over filling algorithms which in true sense automate the process of region filling, to deal with sensitivity in region filling, algorithm different parameter settings are used and functioning with coarse version of image will notably reduce the computational time.
Role of IoT in COVID-19

The COVID-19 pandemic provided a needed sanity check for IoT-inspired frameworks and solutions. IoT solutions like remote health monitoring and make contact with tracing provided support for authorities to successfully manage the spread of the coronavirus. This article provides the first comprehensive review of key IoT solutions that impact COVID-19 in healthcare, contact tracing, and transportation during the pandemic. Each sector is investigated in-depth; and potential applications, social and economic impact, and barriers for mass adaptation are discussed intimately. It elaborates on the challenges and opportunities for IoT framework solutions within the immediate post-COVID-19 era. To this end, privacy and security concerns of IoT applications are analyzed in-depth and emerging standards and codes of practices for mass adaptation are discussed. The main contribution of this review paper is the in-depth analysis and categorization of sector-wise IoT technologies, which have the potential to be prominent applications within the new normal. IoT applications in each selected sector are rated for their potential economic and social impact, the timeline for mass adaptation, and Technology Readiness Level (TRL). In addition, this article outlines potential research directions for next-generation IoT applications that would improve performance with preserved privacy and security and wider adaptation by the population.
Pelatihan Bahasa Inggris Untuk Siswa-Siswi di TK Melati Indah Sayang-Sayang Cakranegara Mataram

Community service is the implementation of knowledge gained in schools, or lecturing process formally or informally. This community service aimed at giving English language training towards students of TK Melati Indah Sayang-Sayang, Cakranegara Mataram. This community service used lecturing, practice, and discussion. The respondents consisted of 30 students. The result of the training concluded that English language training towards students of TK Melati Indah Sayang-Sayang, Cakranegara Mataram was successful. It is proved from the students’ enthusiasm within the process of the training and their learning achievement after giving the training. Thus, the training of English language to the students is highly important especially in TK Melati Indah Sayang-Sayang as they will be the agent of change and future generation who will acquire English language well. Through this training, students of TK Melati Indah Sayang-Sayang are expected to have knowledge and basic experience to communicate through English language as their foundation and motivation to develop their skill.
A generic, cluster-centred lossless compression framework for joint auroral data

Studying the well-known phenomenon “aurora” plays a pivotal role in investigating the solar–terrestrial coupling mechanism. A special auroral spectrograph in Antarctic Zhongshan Station constitutes a auroral observation joint system with satellite-borne sensors of the Defense Meteorological Satellite Program. Multipoint observation by this system provides more essential information for relevant studies than single observation by each instrument, but also results in a multifold increased volume of data that are difficult to be either stored or transmitted. To address this difficulty, we develop a clustering-based, generic lossless data compression framework that combines the usage of various ultimate compressors with a hierarchical clustering algorithm to exert the strength of all the compressors in data reduction. This framework achieves an always-best compression performance for different-sized datasets with a reasonable time consumption, which promises the design of pipelines using it for real-time data transmission.
Improved Truck Physics V3.0 By Professors [1.36.X]

New changes in v3.0 (08.04.2020) almost completely recycled The game settings for the braking force at me stand by default Tested on 1.36.x game ...
Blood Group Detection using Matlab

Blood group testing is one of the vital tasks in the area of medicine, in which it is very important during emergency situation before victim requires blood transfusion. Presently, the blood tests are conducted manually by laboratory staff members, which is time consuming process in the emergency situations. Blood group identification within shortest possible time without any human error is an important factor and very much essential. Image processing paves a way in determining blood type without human intervention. Images which are captured using high resolution microscopic camera during the blood slide test in the laboratory which are used for blood type evaluation. The image processing techniques which include thresholding and morphological operations are used. The blood image is separated into sample wise and blood type is decided based on the agglutination effects in those sample images. This project facilitates the identification of blood group even by common people who are unaware of the blood typing procedure.
Best Computer Speakers

In most situations, the speakers integrated into our computer are of very poor quality, and this makes the sounds produced with such speakers to be ...
Face recognition via weighted non-negative sparse representation

Face recognition is one of the most important tools of identification in biometrics. Face recognition has attracted great attention in the last decades and numerous algorithms have been proposed. Different researches have shown that face recognition with Sparse Representation based Classification (SRC) has great classification performance. In some applications such as face recognition, it is appropriate to limit the search space of sparse solver because of local minima problem. In this paper, we apply this limitation via two methods. In the first, we apply the nonnegative constraint of sparse coefficients. As finding the sparse representation is a problem with very local minima, at first we use a simple classifier such as nearest subspace and then add the obtained information of this classifier to the sparse representation problem with some weights. Based on this view, we propose Weighted Non-negative Sparse Representation WNNSR for the face recognition problem. A quick and effective way to identify faces based on the sparse representation (SR) is smoothed $L_0$-norm $(SL_0)$ approach. In this paper, we solve the WNNSR problem based on the $SL_0$ idea. This approach is called Weighted Non-Negative Smoothed $L_0$ norm $(WNNSL_0)$. The simulation results on the Extended Yale B database demonstrate that the proposed method has high accuracy in face recognition better than the ultramodern sparse solvers approach.
Search in Elsevier Research Products: Current State and Lessons to be Learned

In this work we report on an analysis of the current user experience for search in a number of Elsevier products from a Natural Language Processing (NLP) point of view. This is an exploration of search behaviour and identifying where established NLP insights could alleviate the most pressing issues. In our analysis we identify a number of clusters of search patterns and explore the possibilities for improving the response given the user's search intent. We are also interested in consistency in the search experience across Elsevier platforms and relate to the higher expectations that have been set in the outside world in recent years. Finally, we hypothesise how a more sophisticated way of ingesting our content can help to look beyond indexing on the level of isolated tokens, in order to have more context available to link a search query to the most suitable content.
Role of Steering Inequality in Quantum Key Distribution Protocol

Violation of Bell's inequality has been the mainspring for secure key generation in an entanglement assisted Quantum Key Distribution (QKD) protocol. Various contributions have relied on the violation of Bell inequalities to build an appropriate QKD protocol. Residing between Bell nonlocality and entanglement, there exists a hybrid trait of correlations, namely correlations exhibited through the violation of steering inequalities. However, such correlations have not been put to use in QKD protocols as much as their stronger counterpart, the Bell violations. In the present work, we show that the violations of the Cavalcanti–Jones–Wiseman–Reid (CJWR) steering inequalities can act as key ingredients in an entanglement assisted QKD protocol. We work with arbitrary two-qubit entangled states, and characterize them by their utility in such protocols. The characterization is based on the quantum bit error rate and violation of the CJWR inequality. Furthermore, we show that subsequent applications of local filtering operations on initially entangled states exhibiting no violation, lead to violations necessary for the successful implementation of the protocol. An additional vindication of our protocol is provided by the use of absolutely Bell–Clauser–Horne–Shimony–Holt (Bell–CHSH) local states, states which remain Bell–CHSH local even under global unitary operations.Quanta 2023; 12: 1–21.
Model Pembelajaran Kooperatif Tipe Picture And Picture Dalam Berbicara Bahasa Jerman

Abstract. This study aims to determine the planning, process, and results of the Picture and Picture cooperative learning model in the German speaking skills of XI grade students of SMA Negeri 9 Bulukumba. This research is a classroom action research which consists of two cycles. The subjects of this study were students of class XI IBB SMA Negeri 9 Bulukumba, totaling 27 students. This research data consists of two types, namely qualitative data and quantitative data. Qualitative data was obtained through observation, while quantitative data was obtained through speaking skills tests in cycle I and cycle II. The data were analyzed using the percentage technique. The results showed that the students' speaking skills in the first cycle reached 69.25% and increased to 89.03% in the second cycle. These results indicate that the application of the Picture and Picture type cooperative learning model in the German speaking skills of class XI IBB students of SMA Negeri 9 Bulukumba increases.
Pola Penggunaan Bahasa Melayu dalam Twitter Mantan Perdana Menteri Ke-enam, Dato’ Seri Najib Razak

Nowadays, Twitter is increasingly used as a communication network by many parties, which includes politicians, to spread and receive information. However, if observed, most politicians are less concerned with the usage of Malay language when they upload a tweet. Deduced from this problem statement, this study focuses on the usage of Malay language found on politician’s Twitter accounts, through various observations. Based on several selection criteria, this research studies the Twitter account of Malaysia’s former sixth Prime Minister, Datuk Seri Mohammad Najib bin Tun Haji Abdul Razak (@NajibRazak). The study was conducted based on the Discourse Analysis Theory to identify the content of uploaded tweets, as well as to analyse the pattern of language used based on the themes that have been classified. This study adapts a qualitative approach in which the text analysis method is chosen to analyse the data. The results show that some of the content identified in t @NajibRazak's tweets and the pattern of language used in each speech varies based on the three that have been identified. The use of language highlighted in the writing of the subject's Twitter tweets shows that the language he uses is easy to comprehend by Twitter users as well as the common community. In short, the study shows that the former Sixth Prime Minister has made a clear discourse analysis on the writing of tweets on Twitter and hopes that this study helps future research, especially in the field of political communication. Keywords: Social media, Twitter, politicians, discourse analysis, textual.
THE MAIN FORMATION OF PROFESSIONAL COMPETENCE OF THE STUDENTS OF TECHNICAL UNIVERSITIES IN THE RUSSIAN LESSONS

One of the strategic goals for the development of the higher education system in the Concept for the Development of the Higher Education System of the Republic of Uzbekistan until 2030 is improving the quality of training highly qualified personnel, developing human capital based on the requirements of the labor market for modernization and stable socio-economic development of the country.
Proposal and Implementation of a User-Centered Design Approach for Smart Grid Technologies: Example of the VERTPOM® Project

Acting to preserve our planet as much as possible is no longer optional in today&amp;#39;s world. To do so, Smart Grids within the framework of electrical networks - involving not only Distribution System Operators (DSOs), but also consumers in their Energy Demand Management (EDM) activity - represent an innovative and sustainable solution. However, the integration of Smart Grids into network management or into consumers&amp;#39; homes implies changes at several levels: organizational, social, psychological, etc. This is why it is essential to consider the human factor in the design of the technologies used in these Smart Grids. This paper proposes the integration of DSO operators and consumers within a user-centered evaluation approach in order to design Smart Grids that are sufficiently acceptable to users to enable Positive Energy Territories that produce more energy than they consume. This demonstration will be illustrated by the VERTPOM&amp;reg; project aiming at facilitating the use of renewable energies specific to each territory in order to contribute to the reduction of greenhouse gases and make the territories less dependent on traditional energies, and thus make Picardy (in France) a Positive Energy Territory. This paper presents the user-centered evaluation approach applied to three technologies (i.e., the VERTPOM-BANK&amp;reg; supervision tool intended for DSO operators, the private web portal and the IBox smart meter intended for households) from the upstream design phase to the implementation of the technologies in real-life situations.
VOLITIONAL OR AUTONOMOUS BEHAVIOR MANAGEMENT: THEORETICAL ASPECTS FOR PEDAGOGICAL PRACTICE

461.4 Volitional or autonomous behavior management: theoretical aspects for pedagogical practice Nowadays one of the key problems in the educational process is managing the behavior of a person.This problem is insufficiently disclosed both in theory and practice of pedagogy (especially when it comes to the development of a strong-willed, autonomous personality).This problem is associated with the phenomenon of the concept of spiritual and moral development of the individual, where the basis is the autonomous spirit, volitional choice, pragmatic action, which is consistent with the society values.Recently, the study of various aspects of this problem has appeared in the pedagogical literature.Thus, there appear such positions as teacher autonomy in its relationship with self-efficacy (Soobin Choi, Xinyi Mao, 2021) [36], the implementation of autonomy in pedagogical practice (Xuan Nhat Chi Mai Nguyen, Ian Walkinshaw, 2018) [37], the ability of the learner to autonomous and critical thinking (José FO Granjo, Maria G. Rasteiro (2020) [38], social, individual and cultural dimensions of autonomy in teaching (Biljana Ivanovska, 2015) [39], autonomy with respect to teaching methodology, instructional materials, course content, assessment, lesson planning (Cirocki, Andrzej, Anam, Syafi'ul, 2021) [40], autonomy as a central component of learning, teaching (Diane Railton, Paul Watson, 2005) [41], the impact of autonomy on student well-being (Arielle Bonneville-Roussy, Emese Hruska, and Hayley Trower, 2020) [42] and others.We find an important conclusion about the support of autonomy in the work of authors such as Arielle Bonneville-Roussy, Emese Hruska, and Hayley Trower: «It is important to emphasize that autonomy support relates to promoting autonomy within a given structured environment.That is, autonomy support is not synonymous to a laissez-faire or hands-off form of teaching.Autonomy-supportive teachers recognize that students are in charge of their own learning but also acknowledge that to master skills, certain tasks need to be accomplished within a given structure accompanied by
Correction to: 75th Foundation Day of CSIR-National Physical Laboratory: Celebration of Achievements in Metrology for National Growth

A correction to this paper has been published: https://doi.org/10.1007/s12647-021-00475-9
For a hypothesis of metacalogation

The contribution starts from the Mauro Guerrini book (Dalla catalogazione alla metadatazione) that he has the definition of metacatalogation wassuggested, as a term containing a series of descriptive phenomena that should make it possible to identify and represent both archives and libraries. Between “cataloging and metadating” the descriptive elements resist. A bibliographic record of a paper catalog consists of a metadata set, just as the elements represented in an archival search tool can be called metadata. For real innovation, the archival inventory must be transformed into an information system, almost a search engine, characterized by specific strategies and filters. The inventory will be in the archive and no longer of the archive even if the contextual elements as a whole must never fail. Information constitutes the essential heritage of any society: the public, civil and political perception of archives and libraries has the task of putting themselves at the service of enlarged communities and processes on a very large range.
LibGuides: Graduate Students: Getting Started @ UVic Libraries: Welcome to UVic Libraries

This guide highlights services, resources and tools of interest to graduate students and are available through UVic Libraries
IMPLEMENTASI FRAMEWORK YII2 PADA SISTEM ELECTRONIC ARSIP (E-ARSIP) KEPENDUDUKAN NAGARI BALAH HILIA

This study aims to design and build a village electronic e-archive system. With the village population e-archive system, efforts to help manage outbound mail administration data become more systematic. So that data stored systematically will be easier to find, without slow access constraints due to poor file management. This system is designed using the framework yii2 with the concept of Model View Controller (MVC), PHP programming language, and MySQL. The result of this design is a system that runs on a browser software, and is only used by the Nagari Balah Hilia Office. This population e-arschive system provides an autocomplete feature that makes it easy for operators to find population data based on Population Identification Number (NIK), so that making outgoing mail becomes more effective, efficient, and Systematic.Keywords : Archive, E-Archive, Yii2 Framework, Autocomplete Feature
Integration of historical, scientific and pedagogical values of great figures into the educational process on the basis of modern approaches

The article discusses the methods of assessing the didactic system of teaching our great figures in higher education institutions. The great figures of our country lay the foundation for further development of the system of education and the expansion of the normative and methodological support of the rich cultural and spiritual heritage of our people. The science of pedagogy studies the process of education and upbringing on the basis of their integrity and unity. Didactics (theory of education) and the theory of education are distinguished to clearly state the essence of each of the two activities. Only when we understand this and work together will we achieve the goal faster. After all, the development of technology of scientific and pedagogical development is based not only on the characteristics of the information society, the culture of teachers, respect for great figures, but also on the acquisition of personal culture and skills., also implies media creativity.