Reviewerly/exHarmony huggingface dataset:
A Needs Analysis of Computer and Network Engineering Program in Mataram Vocational Schools

The study is to reveal the significant different between the learning in Vocational School and in general Senior High School. The appropriate teaching-learning processes are based on their needs. The data in this study were qualitative descriptive data obtained through interviews and questionnaires. The questionnaires were distributed to the students and alumni of computer and network engineering program students. The data analyzed qualitatively. The aim of this study was to identify some factual information about the needs of vocational students in learning English, especially in the English-language skills (Listening, Speaking, Reading and Writing) and some of language components in English (Grammar & Vocabulary), and to analyze the conformity between the content of English textbooks with the vocational students’ needs. The subjects in this study were the vocational students and English textbooks, both SBC and Curriculum 2013 edition, of 4 (four) SMK which organized the TKJ department in Mataram. The results showed that the needs of students towards learning English is to meet the academic professions and the future needs of the students, which involved the skills of the language and some of the language components. Whereas in the case of conformity between the content of the English textbooks and the vocational students’ needs, it was found that the English textbooks was more focused on describing the English language competences generally and not directed to the Department of TKJ itself.
Knowledge, Awareness and Attitude about Breast Lump among Females Attending Mahatma Gandhi Ayurved Hospital

Background: Breast lump is considered as carcinogenic unless it is tested and diagnosed as other than this.Today in India, it is one of the main causes of cancer deaths among women.Only early detection and early medical intervention could decrease its mortality rate.Knowledge and awareness of palpation of breast lumps and attitude to get diagnosed at earliest is extremely crucial.Aims & Objectives: Aim is to assess knowledge, awareness and attitude about breast lumps in women attending Hospital OPD.Objectives are to assess the existing knowledge and awareness and to study the attitude about breast lump examination for prevention & early diagnostic measures.Methodology: The proposed cross sectional observational study will be carried out in in Mahatma Gandhi Ayurved Hospital, Salod (H),Wardha.The women visiting OPD will be randomly selected and with their consent will be interviewed personally by a structured and validated questioner.Result: Result will be interpreted on the basis of statistical analysed data.Conclusion: Conclusion will be drawn from the observations and analysis.
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages

Evaluating model robustness is critical when developing trustworthy models not only to gain deeper understanding of model behavior, strengths, and weaknesses, but also to develop future models that are generalizable and robust across expected environments a model may encounter in deployment. In this paper, we present a framework for measuring model robustness for an important but difficult text classification task – deceptive news detection. We evaluate model robustness to out-of-domain data, modality-specific features, and languages other than English. Our investigation focuses on three type of models: LSTM models trained on multiple datasets (Cross-Domain), several fusion LSTM models trained with images and text and evaluated with three state-of-the-art embeddings, BERT ELMo, and GloVe (Cross-Modality), and character-level CNN models trained on multiple languages (Cross-Language). Our analyses reveal a significant drop in performance when testing neural models on out-of-domain data and non-English languages that may be mitigated using diverse training data. We find that with additional image content as input, ELMo embeddings yield significantly fewer errors compared to BERT or GLoVe. Most importantly, this work not only carefully analyzes deception model robustness but also provides a framework of these analyses that can be applied to new models or extended datasets in the future.
FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts

This paper describes our system developed for the sub-task 1 of the FinCausal shared task in the FNP-FNS workshop held in conjunction with COLING-2020. The system classifies whether a financial news text segment contains causality or not. To address this task, we fine-tune and ensemble the generic and domain-specific BERT language models pre-trained on financial text corpora. The task data is highly imbalanced with the majority non-causal class; therefore, we train the models using strategies such as under-sampling, cost-sensitive learning, and data augmentation. Our best system achieves a weighted F1-score of 96.98 securing 4th position on the evaluation leaderboard. The code is available at https://github.com/sarthakTUM/fincausal
Problems and Prospects for the Implementation of Integrative Training of Specialists in Russian Universities

The article is devoted to the problems and prospects of introducing an integrative model of student learning in Russian universities. The purpose of the article is to identify and analyze problems that impede the effective implementation of not only a holistic model of integrative learning, but even its individual elements in the existing Russian higher education system. The objectives of the article are: 1) to consider foreign experience in introducing an integrative approach to learning in the higher education system; 2) to identify the advantages of an integrative learning model in comparison with the classical academic model used in Russia; 3) to consider the main problems that impede the integrative model introduction into Russian higher education system. The research materials are statistics from official Russian institutions, regulations and expert opinions, as well as rating statistics from foreign sources. The study uses the method of statistical analysis and content analysis. The author of the article structures the problems of integrative model introducing in Russian universities on organizational and personnel. As a result of the problem field analysis, the author also offers recommendations for partial or full leveling of the problems identified in the course of the study in modern Russian higher education.
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research

We propose a bias-aware methodology to engage with power relations in natural language processing (NLP) research. NLP research rarely engages with bias in social contexts, limiting its ability to mitigate bias. While researchers have recommended actions, technical methods, and documentation practices, no methodology exists to integrate critical reflections on bias with technical NLP methods. In this paper, after an extensive and interdisciplinary literature review, we contribute a bias-aware methodology for NLP research. We also contribute a definition of biased text, a discussion of the implications of biased NLP systems, and a case study demonstrating how we are executing the bias-aware methodology in research on archival metadata descriptions.
Resolution Enhancement of Microarray Image Using DWT AND SWT

Image enhancement improves information to view and provides better input. Discrete wavelet transform and Stationary wavelet transform is used for resolution enhancement with that wavelet zero padding and resolution enhancement algorithm. In this project, Microarray images are analyzed by the parameters such as peak signal to noise ratio, root means square, entropy, Contrast Improvement index with different wavelet functions such as Daubechies, symlet, and coiflet and biorthogonal wavelet. The results are compared and the better result is obtained from the combined discrete wavelet transform and stationary wavelet transform.
IMSurReal Too: IMS in the Surface Realization Shared Task 2020

We introduce the IMS contribution to the Surface Realization Shared Task 2020. The new system achieves substantial improvement over the state-of-the-art system from last year, mainly due to a better token representation and a better linearizer, as well as a simple ensembling approach. We also experiment with data augmentation, which brings some additional performance gain. The system is available at https://github.com/EggplantElf/IMSurReal.
THE IMPACT OF COVID-19 ON THE EDUCATIONAL DEVELOPMENT IN NIGERIA :

Nigeria contributes approximately 20% of the total global out-of-school population. Therefore, there was struggle going on prior to COVID-19 to ensure young children stay in school and have access to proper education. On 19 March 2020, the Federal Ministry of Education approved school closures as a response to the pandemic. The pandemic has unmasked substantial inequities in the education sector. The COVID-19 pandemic is revolutionizing digital and online education globally but children in rural and underserved communities in many parts of the country, are being left behind because they are not equipped to adapt or transition to the new methods of learning. Private and non-governmental sectors are tirelessly working to salvage this situation. This paper therefore analyses the above mentioned problems as well as looked into how these problems could be stemmed down. It also argues for strategies that could be adopted even after the resumption of schools. The researchers rely on context analysis and employs secondary data such as published and unpublished materials like text books, journals, newspapers and internet materials to gather and analyse the required data. Based on the above, the researchers recommended among others that Public-Private Partnerships (PPPs) and government can do much to improve the quality of, and increase access to, education for poor children in underserved communities.
Tracing Traditions: Automatic Extraction of Isnads from Classical Arabic Texts

We present our work on automatically detecting isnads, the chains of authorities for a re-port that serve as citations in hadith and other classical Arabic texts. We experiment with both sequence labeling methods for identifying isnads in a single pass and a hybrid “retrieve-and-tag” approach, in which a retrieval model first identifies portions of the text that are likely to contain start points for isnads, then a sequence labeling model identifies the exact starting locations within these much smaller retrieved text chunks. We find that the usefulness of full-document sequence to sequence models is limited due to memory limitations and the ineffectiveness of such models at modeling very long documents. We conclude by sketching future improvements on the tagging task and more in-depth analysis of the people and relationships involved in the social network that influenced the evolution of the written tradition over time.
Texture and Timbre in Dai Fujikura’s String Quartet No.2 Flare and A Lonely Person Sitting, Viewing A Flower, an original composition for string quartet

This study examines the approach to instrumental writing and musical structure in Dai Fujikura's 2010 composition for string quartet, Flare. A close reading of Fujikura's own writing on his compositional process indicates three noteworthy areas of concentration. The first is the focus on smaller “phrases” (referred to as “elements” in this study) to form larger “shapes” (which correspond to various textures). The second is the significance of texture variance, driven primarily by changes in timbre, in defining the formal structure of the piece. The third is Fujikura’s interest in the tension between opposing dualities, which is manifested in an active-static interchange throughout the piece. In question are the parameters beyond rhythmic density which affect the perception of stasis or activity.The overview outlines the different textures featured throughout each Part of the piece, identifying texture “blocks”, along with their local and global implications (active or static). Structural analysis reveals references to conventional form, dividing the string quartet into four Parts. In each Part, fundamental musical parameters are analyzed to reveal the primary “elements” and the timbre-based textures they form. The active-static characters are also explored on a micro- level within each Part and in relation to the quartet as a whole. Ultimately, two primary factors impact the perceived implication of motion. The first is the quantity of musical material or events, which affect rhythmic or elemental density. The second is the degree of unity, which is signified most notably by texture, but also by cohesion or regularity.My original composition, A Lonely Person Sitting, Viewing A Flower for string quartet, is based on the poem of the same name by the Taiwanese poet Shiao-Fung Chang. The poem is a tranquil meditation on solitude using the concise syntax of the Chinese language. This string quartet is a musical realization that directly responds to the flow, structure, and sentiments of Chang’s poem.
Evaluating JavaScript Frameworks

Web application frameworks have become a common part of software development, with each programming language having its own specific frameworks. However, choosing the right framework can be a daunt ...
Augmented Reality-Based Interaction Mechanism for the Control of Industrial Robots

Currently, AR/VR devices and technologies are continuously applied to control the differenttypes of robots in the aspects of the industry. A lot of developers have accomplished the pickand place ex ...
GO-GN Annual Review 2020

The Global OER Graduate Network's (GO-GN) Annual Review for 2020 includes results of our annual member survey, an overview of the year's fellowships, recent publications and more.
COVID-19 makes IP protection of traditional knowledge even more urgent

A protected database of traditional knowledge would transform the technology transfer system as we know it, write Andrea Alunni and Lilian Volcan
River Water Purifier as an Alternative for Clean Water Supply in Sei Siarti Village, Panai Tengah District, Labuhanbatu Regency

Sei Siarti Village, Panai Tengah District, Labuhanbatu Regency have problems in the form of limited clean water sources that are suitable for use. There are several potentials including peat water, drilled well water, and Barumun river water that crosses the village. The condition of peat water that does not comply with quality standards for water that is fit for consumption has a brownish color, high acidity, and the organic matter contained in peat water is high enough to cause an odor. The well water has a salty taste (high salt content) so that what has the potential is Barumun river water even though it has a cloudy color. The method used to purify cloudy river water is through the processes of coagulation (deposition), filtration (filtering), absorption (absorption), and adsorption (ion exchange). This water purifier is made using 2 tubes filled with silica sand, MGS, activated carbon, and zeolite sand so that the water produced is clear and fit for consumption and can be utilized by the surrounding community. The results obtained from this water purification are water that does not have a smell, taste, and is clear in color so that it is suitable for use by the surrounding community
LibGuides: Engaging in Science, Engineering, and Math (SEM) PD 126: Questions? Ask a librarian!

Research information for students enrolled in PD 126: Engaging in Science, Engineering, and Math
LibGuides: LSC 504:Baby Story Time: Tools for Reading to the Wee Ones.: Ms. Lisa's Story Time Closet

Reading and providing quality programming to your youngest patrons is quite the task: however, with the proper tools, you will be able to provide your wee patrons with many wonderful story time experiences and a lifetime love of reading. A peak into my massive reserve collection of story time books.
Competency Based Modular Educational Programs

It has been established that the basic documents on the development of higher education of the Republic of Kazakhstan declared the principles of competence approach and modular learning, but in practice, their implementation is faced with certain difficulties and that it is particularly difficult to implement the competency-based approach in the absence of professional standards. In this regard, the goal was set to develop a methodology for the formation of integrated standards and implement it for a modular educational program of any specialty. The essence of this methodology consists in that the development of an integrated standard is not a single process. It is divided because at the initial stage the representatives of the education sphere determine only the expanded list of competencies, then the employers enter the process independently on them, and the faculty formulates the learning outcomes only after specification of the competences' list. To achieve this goal, an algorithm for the development of modular educational programs has been created, methods of document analysis, retrospective analysis and questionnaires were applied, experimental work on the formation of the list of competencies was carried out. The experts who participated in assessing the competencies importance showed the high qualifications, good knowledge in the labor market and the skill to formulate the required data. On the basis of this list, the list of necessary competencies for “Computer science and software” specialty has been compiled.
LibGuides: KU Online MGMT 620: Business Communication + Presentation: Home

A resource guide to connect Kettering University Online students in MGMT 620 to research resources provided by the library.
LibGuides: SUMMER 2021 Hybrid Access to Library Services & Resources: Quick Help

Whether you're here on campus or studying remotely, you still have access to library resources and services!
THE RELATIONSHIP BETWEEN CRITICAL THINKING ABILITY AND VOCABULARY LEARNING STRATEGY IN 6th SEMESTER OF ENGLISH DEPARTMENT IN ISLAMIC UNIVERSITY OF KALIMANTAN

Writing is a basic language skill, as important as speaking, listening and reading. For the first year students of junior high school, the students are demanded to write some texts, one of those texts is descriptive text. However, the students faced problem in learning it. In this study, the researcher will try to apply mind mapping technique that expected to solve the difficulty of students in writing descriptive text. The purpose of this study is intended to know how effective the use of mind mapping technique in teaching writing descriptive text. The method of this research is a quantitative with pre-experimental design that concist of pretest, treatment and posttest. After collecting the data, by using t-test and score of the one only were compared from the pre-test and post-test. The t-test analysis performed on the data students’ score in teaching writing descriptive text by using mind mapping comes to finding that t-value is 2.056 while the mean score is 13.734. In other words, mind mapping technique is effective in teaching writing descriptive text for 7th grade of SMP Negeri 5 Alalak school year 2019/2020. The teachers can apply this technique to teach writing, to make the students become more creative.
Active Contour Model Using Fast Fourier Transformation for Salient Object Detection

The active contour model is a comprehensive research technique used for salient object detection. Most active contour models of saliency detection are developed in the context of natural scenes, and their role with synthetic and medical images is not well investigated. Existing active contour models perform efficiently in many complexities but facing challenges on synthetic and medical images due to the limited time like, precise automatic fitted contour and expensive initialization computational cost. Our intention is detecting automatic boundary of the object without re-initialization which further in evolution drive to extract salient object. For this, we propose a simple novel derivative of a numerical solution scheme, using fast Fourier transformation (FFT) in active contour (Snake) differential equations that has two major enhancements, namely it completely avoids the approximation of expansive spatial derivatives finite differences, and the regularization scheme can be generally extended more. Second, FFT is significantly faster compared to the traditional solution in spatial domain. Finally, this model practiced Fourier-force function to fit curves naturally and extract salient objects from the background. Compared with the state-of-the-art methods, the proposed method achieves at least a 3% increase of accuracy on three diverse set of images. Moreover, it runs very fast, and the average running time of the proposed methods is about one twelfth of the baseline.
Characterizing Dynamic Word Meaning Representations in the Brain

During sentence comprehension, humans adjust word meanings according to the combination of the concepts that occur in the sentence. This paper presents a neural network model called CEREBRA (Context-dEpendent meaning REpresentation in the BRAin) that demonstrates this process based on fMRI sentence patterns and the Concept Attribute Rep-resentation (CAR) theory. In several experiments, CEREBRA is used to quantify conceptual combination effect and demonstrate that it matters to humans. Such context-based representations could be used in future natural language processing systems allowing them to mirror human performance more accurately.
Sistem Informasi Profil Siswa dan Bimbingan Konseling Madrasah Ibtidaiyah Muhammadiyah Program Khusus Kartasura

Madrasah Ibtidaiyah Muhammadiyah Program Khusus Kartasura (MIM PK) is one of the madrasah ibtidaiyah in Sukoharjo. Counseling guidance at MIM PK is very important, while the recording of counseling data is done manually by the instructor and re-typed on the computer. But this is considered less efficient because of the risk of losing more data. The purpose of this research is to develop a student profile information system and guidance for madrasah ibtidaiyah muhammadiyah special program Kartasura. This research uses the waterfall method, with five sequential stages including communication, planning, modelling, construction, and deployment. The system has been completed, with the creation of a Student Profile Information System and Counseling Guidance for Madrasah Ibtidaiyah Muhammadiyah Special Program Kartasura. Based on the results of the blackbox testing it can be concluded that the system can run as expected and all feautures function properly.
Technologies and tools to improve the quality of university education

There are many challenges for education in the modern world. High-quality education today requires understanding the fact that society is becoming more complex. It must constantly adapt to its needs in order to give reliable knowledge to students. The problem of the quality of education and its effective functioning has always been the subject of scientific and practical interest of teachers. Currently, it is acquiring special significance, since ensuring the quality of education is one of the main conditions for trust, mobility, student motivation, and attractiveness of higher education. The purpose of the study is to justify the technologies and tools to improve the quality of university education. The study defines the concept “quality of education” and ways to improve the quality of university education at the theoretical level. Based on the expert survey, a set of measures and processes to improve the quality of education is determined and characterization of the content of the regulations on the organization of the educational process to improve the quality of university education is given.