Reviewerly/exHarmony huggingface dataset:
Multilingual comparable corpora of parliamentary debates ParlaMint 1.0

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting at the end of 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being reference (before that date).The corpora have extensive meta-data about the speakers (name, gender, party affiliation, MP status), are structured into time-stamped terms, sessions and meetings, with each speech being marked by its speaker and their role (chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc.The corpora are encoded according to the Parla-CLARIN TEI recommendation, but have been validated to the compatible but much stricter ParlaMint schemas. The schemas are included in the distribution, along with scripts to convert the corpora into other formats. The ZIP files with the TEI encoded corpora also include the automatically derived plain text version of the corpus, along with metadata on the speeches.In addition to the ParlaMint TEI encoded corpora, their linguistically encoded variants (.ana) are also available. The annotation includes named entities, lemmatisation, part-of-speech tagging, and morphological features and syntactic parses according to the Universal Dependencies recommendations. State-of-the-art tools have been used to perform the annotations. The .ana.zip corpora include the ParlaMint encoded XML, as well as derived formats, in particular, CoNLL-U and vertical files.
Analisis Pemodelan Sistem Informasi Akademik dengan Menggunakan Framework TOGAF 9.1 Phase Preliminary hingga Phase D (Studi Kasus : Universitas X)

Academic information systems modeling analysts at university X needs to produced a blueprint. Academic information systems is rebuild into a new Academic information system. Blueprint aims to facilitate decision making when there is a system update. The New Academic Information System Modeling uses the TOGAF 9.1 framework using the ADM stages that is Preliminary phase, Phase A: Architecture Vision, Phase B: Business Architecture, Phase C: Information System Architecture, and Phase D: Technology Architecture. TOGAF ADM 9.1 produces a blueprint for business architecture, data and applications architecture, and technology architecture.The GAP analysis was carried out in phase b for business architecture, phase c for information system architecture, and Phase d for technology architecture.
ANÁLISIS JURÍDICO DEL RECONOCIMIENTO DEL DERECHO DE AUTOR EN NICARAGUA, EN LAS OBRAS CIENTÍFICAS O TÉCNICAS, EN VIRTUD DE LAS DISPOSICIONES DE LA LEY 312, SUS REFORMAS Y ADICIONES. UNA EXPERIENCIA EN LA UNAN-LEÓN

This research presents an analysis of the recognition of copyright in Nicaragua in scientific or technical works in the light of Law 312 Copyright Law and its related rights, specific case of UNAN-Leon, the way of recognizing and compensaating moral and economic rights, the most important aspects of the registration procedure in the ONDADX , a brief comparison of copyright is made in Chile and Nicaragua, concluding that the procedures used in Chile are more expeditious as it allows to make use of the different mechanisms of registration of a scientific or technical work.
Autonomous Vehicles With Obstacle Avoidance

Autonomous ground vehicles are becoming prevalent in this modern society due to economical and environmental benefits. This paper investigates trajectory tracking control for a two-wheel autonomous ...
The role and peculiarity of student organizations in modern Kazakhstan society

The article is devoted to the activities of student public organizations, its role and influence on the formation of the social culture of young people. The purpose of this article is to study the role of student organizations in the higher education system of modern Kazakhstan society. The scientific significance of the research is the substantiation of the main activities of student organizations and the motivation of young participants. There has been used a questionnaire as the main method of studying the role of student organizations among students of the Al-Farabi Kazakh National University. And its results have been analyzed by statistical analysis and data analysis. Based on the materials of the sociological research, the role and relevance of student organizations in the implementation of educational work with students are determined. The theoretical and practical importance of the article lies in the fact that the features of student organizations are presented and the potential possibilities of student self-government as a social institution are analyzed. According to the results of the study, the authors have found that students in most cases join student organizations in order to expand the circle of acquaintances and are interested in the opportunity to make a career in the future.
Sufficiency of Sri Lankan Cyber Crime Laws to Safeguard the It Professionals and Victims of Cyber Attacks

This study is based on Computer Crime Act1 of Sri Lanka. The article has analysed the Computer Crime Act of Sri Lanka on its capability and comprehensiveness on providing legal protection for the IT professionals and victims of cyber-crimes.The article has compared the Computer Crime Act of Sri Lanka with the cyber-crime directives of European Union and has analysed the pros and cons of the Computer Crime Act of Sri Lanka comparatively to the EU cyber-crime directives.
STUDY OF GEOMETRIC SHAPES THROUGH TRADITIONAL BASKETRY USING DIGITAL TECHNOLOGIES

In the Higher Technical School of Architecture of the University of the Basque Country, within the Geometry subjects, students have been working on the study and control of Geometric Forms. Starting with the Basic forms, it deepens to the Complex Forms, linked to Architecture. In this study, different digital technologies are used, which allow the students to generate physical models at different scales using different techniques and materials. For this purpose, different 3D modeling software is used and besides, there is a digital manufacturing laboratory that allows 3D printing. Nowadays, this teaching is being developed, linking the study of Geometric shapes to the development of Models inspired by traditional basketry. Basketry is a process of confection by weaving or winding longitudinal, natural or artificial materials. Different materials, manufacturing techniques and wefts are analyzed, relating these characteristics of basketry with essential elements of geometric shapes such as geodesic lines, which are of great importance in basketry. The use of 3D modeling software such as Rhinoceros and the visual programming language Grasshopper, which acts as a plug-in within the first, allows students to explore patterns and shapes never before manufactured. After obtaining digital models that transcend the techniques and forms used in traditional basketry, real physical models are produced with natural materials such as chestnut strips. With all this, the students are developing their own learning in geometric shapes applying their knowledge to the evolution of a deeply rooted Cultural Heritage.
Hemlig dataavläsning en relevant och genomtänkt lag?- En kritisk granskning av lagstiftningsprocessen för lag (2020:62) om hemlig dataavläsning

The Secret data interception law was implemented on 1 of April, 2020. The law allows law enforcement authorities, not just the security police, to gain access to information from an individuals' mobile phone and computer. In the case of coercive measures legislation, it is important that the legislator relates to the corresponding legal principles and concepts in a correct way. This essay intends to critically examine the legislative process that led to the law (2020: 62) on secret data reading. The research questions that this essay intends to answer are the following: 1.Has the legislature satisfactorily discussed and reasoned about the principles and concepts that are essential in the balancing process?2.Has the legislator made a correct assessment of what is included in the protection of personal integrity? To answer these questions it is necessary to present and discuss the relevant principles and concepts that arise in coercive legislation. The relevant prin-ciples and concepts include: the principle of proportionality, the principle of legitimacy, the principle of suitability, the principle of necessity, the princi-ple of purpose, technology-neutral legislation and personal integrity. The principles were discussed and examined on the basis of the theory-what can be considered a correct legislative process in coercive measures legislation. Concepts and principles were then discussed on the basis of how the legisla-tor, regarding secret data reading, correlated to the presented theory. In conclusion the essay shows that the legislator to a large extent did not conduct the necessary discussion and reasoning that the theory poses in co-ercive legislation. It is important, according to the theory, that the legislator clearly shows what beneficial effect can be achieved, which was not demon-strated to the necessary extent. Not all interests that can affect the legislation were presented and there was a lack of discussion on public interest regard-ing personal integrity. This results in that the purpose of the law cannot be achieved and hence there are shortcomings in the legislator's overall as-sessment. The need for legislation regarding communication, encryption and anonymization might be adequate. On the other hand, there is no obvious real need for the remaining data retrieval, despite the fact that some qualita-tive benefits can be discerned. With regard to personal integrity, this essay argues that there is no uniform definition of the term. Personal integrity should instead be understood in the context in which it is actualized, which in this case is the context of coercive legislation. It is concluded that personal integrity has not been contextualized correctly. Covert data reading cannot be compared to older coercive measures, which the legislator believes. In summary, the legislator has not performed a correct overall assessment.
Language Choice As Discourse: A Transitivity Approach to MTN® and ETISALAT® Advertising Communicative Webs in Nigeria

Advertising texts are significant to manufacturers to promote and skyrocket products’ consumption. This study examined kinds of textual choices in advertising, accounting for their frequencies. Two advertisements each from MTN® and Etisalat® – of the Nigerian advertising universe – were chosen for sample analysis, employing Transitivity and word-formation procedures, as the conceptual frameworks. Transitivity allowed tables and graphs to compute the recurrence of textual components. The research revealed Material Processes of has offered, go rock (MTN); and get, pick up (Etisalat) as pronounced choices. Circumstances of Location such as This week… (MTN); and on weeknights… (Etisalat) are choices of communicative augmentations. The investigation further recapitulated creative over-generalization (yous), word play fragmentation (Y’ello), and alphanumeric code (9javaganza) as communicative facilities of MTN and Etisalat constructs. Hence, the researcher suggested that an extensive study of language choice in advertising domains can strengthen government policies to benefit, among others, readers, researchers, manufacturers, and advertising practitioners.
Virtual Microgrids: Implications of Blockchain Technologies for Peer-to-Peer Trading of Electricity, Renewable Energy Investments, and Resource-Sharing Network Coordination

By transforming how transactions are recorded, verified, and arranged, while eliminating the need for intermediaries, blockchain is generating a shift in focus away from centralized structures (e.g., exchanges, trading platforms, energy companies) towards decentralized systems (e.g., end customers, energy consumers interacting directly). In particular, by ensuring security, authenticity, and execution of financial and energy flows of across the grid, blockchain enables organization of electricity consumers with individual ownership of renewable energy resources (such as solar panels) into {\em virtual microgrids} for the purpose of peer-to-peer trading of locally generated renewable energy. In this paper, we develop an analytical framework to describe equilibrium outcomes in such a virtual microgrid whose each heterogeneous participant first decides, at the beginning of the time horizon, on the level of renewable generation capacity to invest in. Then, throughout the time horizon, he satisfies his (stochastic) demand for electricity either from his own installed generation capacity, or by means of blockchain-mediated purchases of electricity available from his peers in the virtual microgrid. We determine the subgame-perfect Nash equilibrium for this two-stage, simultaneous, non-cooperative, infinite-horizon game with perfect information played by participants in a virtual microgrid. For each such participant, we derive: (i) optimal capacity of his renewable energy investment; (ii) optimal amount of energy bought and sold through peer-to-peer electricity trading at each point in time; and (iii) the marginal value of the energy traded in the microgrid that minimizes his electricity-related costs. We prove that an electricity consumer is always better off with a virtual microgrid than without, with his resulting cost savings averaging 9.7\% in our numerical studies. We establish that the cost performance of a virtual microgrid in equilibrium exactly matches that of a centralized microgrid optimized for total cost. Thus, when participants in a virtual microgrid act optimally to minimize their own individual costs, they also achieve full coordination of the entire system and realize its minimum total cost.
LibGuides: Brown University Library Alma Implementation: Training Team Guide for All Staff: Home

This guide has been created by the Training Team of the Brown University Library Alma Implementation in order to assist all library staff members in learning how to use the new Alma and Primo systems.
Monolingual word alignment for parallel corpus of Al- Qur’an translation

To measure the semantic correlation between words there are many meth- ods that can be used, one of which is word alignment. Word alignment is a method that aligns words that have a letter correlation or meaningful correla- tion between two sentences. This study focuses on using word alignment in the translation of the Al-Quran verse. This method was developed to align the sen- tence pair data but can be used to measure the semantic correlation between verses. By using the al- gorithm back to basic word alignment developed by Sultan et al.[7] the researcher re-develops to research the alignment between verses in the Al-Quran, to find out the effect if used in the translation of the Al- Quran as the dataset. The Al-Quran dataset used will be converted into the MSR-RTE[2] dataset format by researchers, with the aim of providing new re- search results in the context of the Al-Quran word alignment. In Back to Basic Word Alignment there is a pipeline alignment that con- tains the use of a tour map sequence, the tour used in this research, align identical word, align PPDB, align word sequences, align named entities, align content words (dependency), align content words using surrounding words (text neighbor), align stop words, align PPDB Extended[7]. These features will be combined to determine the cor- relation value between two Al-Quran verses (F1 score). The best correlation value between verses that can be produced in this study was 51.02 % compared to the baseline research by Sultan et al. that is 91.7%. The correlation value be- tween verses in this study can be concluded as a sufficient value, and can still be improved by adding features, knowledge base, or using a combination of dif- ferent translators of the Al-Quran.
Some theoretical issues of assessment in modern stage of foreign language teaching development

Assessment is an essential component of the training system. In teaching a foreign language, control occupies a special place due to the complexity of the subject itself for study and the variety of the developed theoretical base. Analysis of the methodic literature on this issue has shown that many terms, especially foreign ones, are interpreted by researchers in different ways. In order to clarify the concepts, we consider traditional definitions of assessment, as well as related terms: “evaluating” and “evaluation”. Clarified and explained English terms, based on the ambiguity of their translation into Russian. To develop the methodic thinking of teachers, some teaching theories are presented and their connection with assessment is shown. Based on the analysis and comparison of learning theories, an explanation is given for three assessment approaches. The first approach looks at learning control and its advantages and disadvantages. This approach, which offers the idea of “assessment-measurement”, is contrasted with another direction in the theory of control. This direction combines “teaching” approaches to assessment: assessment for training and assessment as training. An explanation of these approaches is given, as well as the principles underlying them. The necessity of applying the above theoretical knowledge for methodically competent teaching of a foreign language is substantiated.
Choosing the quantization bits and quantization method of synthetic aperture radar image

In order to facilitate the storage and secondary processing, an effective down sampling method is developed to improve the image processing rate while reducing the image quality loss after focusing the echo of the miniature SAR equipment. The article briefly introduces the micro- and miniature digital synthetic aperture radar image storage. Using two aspects of reading processing efficiency rate and algorithm analysis of the relationship between digit image storage and image quality. In detail, the article introduces the synthetic aperture radar image sampling method. After getting simulation result with different quantization methods, the article analyze the differences of images’ signal-to-noise ratio(SNR) and quantization noise. According to the simulation results, the non-uniform quantization method proposed in this paper can improve the noise ratio.
Avoiding collision with moving obstacles for UAVs using robust ego-motion estimation technique

This paper proposes a vision-based collision avoidance system for unmanned aerial vehicles (UAVs). A method to detect and avoid approaching objects is necessary for UAVs since they are inherently vulnerable to external impacts. To resolve common issues with motion detection on a moving platform, computer vision algorithms such as optical flow and homography transform are utilized. The robustness of these algorithms is improved by employing characteristics of differential images. The proposed method is implemented in a camera-equipped onboard computer and then mounted onto a UAV as a collision avoidance system. It performs evasive maneuvers to avoid various objects thrown in its flight path, demonstrating its functionality and robustness.
Donate Application (Donary – Donation Module)

With the increase of living standards and the reduction of poverty rate around the globe, people nowadays can access their desired daily necessities with ease. Nowaday, people get caught in the never-ending quest of acquiring materialistic goods due to the shopping advertisements and this has become a big issue. As a result, goods with similar functions might pile up in their homes, but the owner will only use the newest one while neglecting the old ones. In the end, this will heap of goods to be stacked around their houses as they do not know how to manage these goods properly. This application provides a platform for users to manage their goods by giving away these goods for a charitable cause. After looking up on the Play Store, there are little to none goods donating application and most of the applications are related to donate money, food or even to the developers instead of donating goods.
Towards Extracting Formulaic Expressions from Japanese Scholarly Papers

While scholarly papers in many disciplines are written in English, non-English papers have been published. Formulaic expressions used in research articles have been studied, but past work mainly focused on English formulaic expressions. In this study, we applied an existing formulaic expression extraction method that was originally proposed for English papers to introduction sections of Japanese papers on natural language processing. The results show that the extraction is to some extent successful. However, the paucity of dataset of scholarly papers hinders the construction of a comprehensive list of formulaic expressions and comparison among multiple disciplines.
Assessment of the diagnostic accuracy of contrast-enhanced digital mammography in the differentiation between benign and malignant breast mass lesions

Background: It is important to find an accurate and cost-effective tool for the early diagnosis of breast cancer which is the most common cancer in women worldwide. Contrast-Enhanced Digital Mammography(CEDM) is an emerging modality in depicting abnormalities seen at screening mammography and it could demonstrate disease extension and help in detecting response to therapy. This study aimed to evaluate the accuracy of CEDM in the diagnosis and differentiation between benign and malignant breast masses and mass-like lesions. Patients & methods: This prospective study included 100 female patients with 154 breast lumps, their ages ranged from 30-75 years (Mean= 42±5.3) who referred with a suspicious breast lump. Informed consent was obtained from all patients. All patients were subjected to local breast examination of both breast sides, renal function tests; Conventional mammography (CM), breast ultrasonography (U/S), and contrast-enhanced digital mammography (CEDM). Diagnoses confirmed by biopsy and histopathology results that used as a gold standard. Results: The 154 studied lesions found to be: 122 malignant neoplastic lesions (79.22%) and 32 benign lesions (20.78%) according to the histopathology results.CEDM was found to have higher sensitivity (97.56%), specificity (93.55%), and accuracy (96.75%) when compared to combined CM and U/S results that showed sensitivity (62.30%), specificity (68.75%), and accuracy (63.64%), Conclusion: Contrast-enhanced digital mammography found to be a low-cost effective diagnostic method in the differentiation between benign and malignant breast mass lesions that can improve diagnostic accuracy and increase the cancer detection rate.
Smart Solar-based Inverter

Unavoidable shortage of fossil fuel sources in the future, renewable types of energy have become important source of energy in this generation. This Research consists of the solar panel which use solar energy and is environmentally friendly. We have performed the movement of solar tracker system using Arduino and converting the solar energy into electrical energy and this energy is stored in the battery. The DC energy stored in battery is converted into AC by using inverter. The performance of dual axis solar tracker system is effective for capturing maximum sunlight source and can fulfil the increasing demand of electricity problem. When it comes to utilization of DC power sources for both high and low power applications the inverter not only increase the efficiency of power system but also prevent damage to electrical component. At the output of inverter is 120V AC voltage to drive small appliances. Is also generate 230V AC power when it is use for large scale appliances.