Reviewerly/exHarmony huggingface dataset:
Requirement traceability model for agile development: results from empirical studies

Currently, it is crucial to develop software within the time frame given. Agile software development methodologies offer methods to develop a system in term of time and cost saving but has been criticized for not offering software quality management (a.k.a Non-Functional Requirement, NFR) properly. An empirical case study has been conducted used to find out the need of a traceability approach for NFR change impact in most of Agile software methodology (TANC). TANC is improved and further evaluated by using expert survey analysis method. Based on the results of the expert survey analysis TANC has been proven to fulfil the characteristics of the criteria that needed to be a traceability approach in Agile Software Development for tracing NFR change impact. Thus, this proves that TANC offered better way to trace change impact during the agile development process.
LibGuides: Modern Chinese History Survey Courses: Research Paper Help

This is a LibGuide intended to support undergraduates at American Institutions currently enrolled in a survey course in Modern Chinese history. This section of the guide aims to help students with the process of writing an extended research paper based on primary sources.
PROBLEMATIKA PEMBELAJARAN BAHASA ARAB MENGGUNAKAN APLIKASI WHATSAPP SELAMA PANDEMI COVID-19 PADA SISWA MADRASAH IBTIDA’IYAH DI KOTA BIMA

This paper aims to identify the extent of the use of the WhatsApp application and the problems that accompany it when it is used in learning Arabic for students of Madrasah Ibtida'iyah in Bima City. With a qualitative approach and using research subjects from parents and students of Madrasah Ibtidaiyah in Bima City during the covid-19 pandemic. The data were collected through observation, interviews, and documentation. After going through the analysis process, it was found that the use of the WhatsApp application in learning Arabic at the Madrasah Ibtida'iyah level focuses more on mufradat and tarkib aspects and is more relevant for increasing maharah qira'ah and kitabah. In addition, there are problems of saturation, validity of assessments, integrity dilemmas, and technical constraints such as device specifications, finances, and inadequate assistance by teachers and parents.
La indagación científica desde una mirada transdisciplinar en el aprendizaje de las ciencias naturales en la educación básica

The general objective of the review article was to evaluate the perspective of scientific inquiry (CI), from a transdisciplinary perspective through the perspective of the cited authors, it is based on a qualitative approach, methodological design of documentary research, it is based on the Review of journals of scientific articles indexed by Scopus, ebsco, proquest and academic google. Likewise, the results show that currently scientific inquiry must be treated from a transdisciplinary perspective, which brings together the epistemes of the disciplines, integrates ICT and innovative methodologies within Stem education such as project-based learning (ABPy), problem-based learning (ABP) To respond to the challenges of today's society, however, in Latin America, there are still lags in a disciplinary, laboratory scientific inquiry. Therefore, the perspective of scientific inquiry, from a transdisciplinary perspective based on theoretical foundations, led to taking into account paradigmatic changes with new views of curricular, didactic, educational and pedagogical organization that assume that scientific inquiry is an approach. that is consolidated with the Stem model Keywords Scientific inquiry, transdisciplinary approach, Stem model, strategies.
A Study of Using M-Learning Approach to Enrich English Language Teaching: With Special Reference to G.C.E. Advanced Level Students in Kalutara Education Zone

Mobile-Assisted Language Learning (MALL) - a topic of current interest - is a subset of the approach, Computer- Assisted Language Learning (CALL), deals with handheld mobile devices making the learning process more personalized, spontaneous and ubiquitous. The students learning in the secondary level, find a lot of difficulties when integrating mobile phones in the language learning process. In this study, the main objective is to investigate the perspective of the G.C.E. A/L students towards MALL. A sample of fifty students were selected from the Kalutara Education Zone by using convenient sampling method and the data collected through a Google questionnaire, were analyzed both qualitatively and quantitatively. The analysis confirmed that the majority of the respondents do have a positive attitude towards the use of MALL approach as a mean of distance learning. The results of the study portray the abundance of benefits of using m- learning in the secondary education, such as easy and quick access and availability of a plenty of resources and etc. In view of the difficulties encountered when using m-learning approach, the data manifested the commonness of difficulties encountered by ESL learners in the categories of: connection problems, monetary issues, lack of high- tech sophisticated devices and lack of feedback. Although the findings convince that the students choose blended learning system, MALL would be more preferred if the basic requirements such as a proper training and knowledge are provided.
Hey, Google, Is it What the Holocaust Really Looked Like? Auditing Biases in Visual Representation of the Holocaust on Web Search Engines

The potential for bias in web search engine outputs and its negative effects on the ability of individuals and societies to be adequately informed is increasingly recognized. So far, research focuses on different types of bias in relation to general concepts (e.g., genderor race) or recent events (e.g., political elections). However, search engine outputs related to historical events, in particular highly traumatic ones such as crimes against humanity, can also be biased. Such biases can be viewed as a breach of memory ethics (e.g., the responsibility for properly remembering the victims) and also be used to manipulate the public sphere (e.g., by distorting historical facts for mobilizing the audience). To understand potential biases in algorithmic curation of historical information, we use agent-based testing to conduct algorithmic auditing of image search results related to a notorious case of historical atrocities - the Holocaust - across six search engines in English and Russian. Using quantitative content analysis, we identify different forms of bias related to the representation of the Holocaust (i.e., misattribution, trivialization, revisionism, and over-representation bias) and compare the difference in their prevalence depending on the engine/language selection. Our findings indicate substantial variation in terms of bias visibility between the search engines, and highlight the need for integrating memory ethics into the design of information curation mechanisms dealing with historical events.
МОТИВАЦИЯ ПЕРСОНАЛА: ТЕОРИЯ И ПРАКТИКА ПРИМЕНЕНИЯ В ОБЩЕОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЯХ

The article deals with the issues of labor of employees of general education institutions. The definition of the concept of motivation expressed by various scientists in the field of is considered and the author's definition is proposed, which is considered from the point of view of managerial and economic aspects. In order to identify the problems of the personnel management system and its of the municipal educational institution and to determine possible ways to solve them, surveys and questionnaires were conducted among teachers, students and their parents, which allowed to identify the factors that affect these problems. The survey on showed that only 5% of employees are satisfied with the level of wages, and one third of the respondents are categorically not satisfied, more than half of the respondents believe that the quantity and quality of work performed deserves a higher level of remuneration. Based on the conducted research, the article proposes to improve the material incentive payments to teaching staff of general education organizations in the form of additional payment and bonuses for activities that were not previously paid, as well as non-material incentives of a socio-psychological, resource and creative nature. A set of measures to correct the system of incentives for teaching staff will contribute to better preparation of students for the Unified State Exam and OGE, strengthen the staff in the organization, strengthen the psychological climate in the team, reduce the level of conflict and confrontation between employees and ultimately improve the efficiency of institutions
Sports Teaching Material Selection in Dynamic Analysis of Big Data--Taking Football Teaching as a Case

The selection of PE teaching materials is one of the key factors for the success of PE teaching.The traditional physical education teaching material evaluation procedure is tedious, and theevaluation result has certain error. Taking the selection and training of football players in HebeiGEO University as an example, this paper introduces the analysis method of big data and datafusion to study the selection of sports teaching materials. The experimental results show that theevaluation results of the proposed method are more accurate than the traditional methods, andthe iteration period is shorter. This method has a certain ability test value for the selection ofphysical education teaching materials.
Benchmarking Unsupervised Object Representations for Video Sequences

Perceiving the world in terms of objects and tracking them through time is a crucial prerequisite for reasoning and scene understanding. Recently, several methods have been proposed for unsupervised learning of object-centric representations. However, since these models have been evaluated with respect to different downstream tasks, it remains unclear how they compare in terms of basic perceptual abilities such as detection, figure-ground segmentation and tracking of individual objects. To close this gap, we design a benchmark with three datasets of varying complexity and seven additional test sets which feature challenging tracking scenarios relevant for natural videos. Using this benchmark, we compare the perceptual abilities of four unsupervised object-centric learning approaches: ViMON, a video-extension of MONet, based on a recurrent spatial attention mechanism, OP3, which exploits clustering via spatial mixture models, as well as TBA and SCALOR, which use an explicit factorization via spatial transformers. Our results suggest that architectures with unconstrained latent representations and full-image object masks such as ViMON and OP3 are able to learn more powerful representations in terms of object detection, segmentation and tracking than the explicitly parameterized spatial transformer based architecture of TBA and SCALOR. We also observe that none of the methods are able to gracefully handle the most challenging tracking scenarios despite their synthetic nature, suggesting that our benchmark may provide fruitful guidance towards learning more robust object-centric video representations.
Moods and Thoughts Around The Clauses: Billie Eilish’s Dark Lyrics on Teenager Notes Who Committed Homicide

This article presents an analysis of Billie Eilish’s dark lyrics written on the girl’s notes who committed homicide, yet both lyrics and the girl’s original handwriting becomes controversial as a purpose to give a sign to other people. It applies Linguistics Inquiry and Word Count (LIWC) program and grammatical function with a qualitative approach to determine the dark lyrics built on the notes and how the message behind the lyrics is revealed. The results show that in the notes: 1) the dark lyrics were used to reveal the girl is experienced angry and madness while the dominant of Unmarked Topical Theme is aims to attract the reader as the writer focus on Billie Eilish’s dark lyrics as the main point; 2) declarative mood functioned to shorten the gap between herself and Billie Eilish’s dark lyrics so tindicate the participant at the beginning of the clause is information bearer as well as she tried to tell the reader about the experienced occurred by the moment. Grammatically, the controversial side of the notes is mostly featured by several clauses containing dark elements shown negative experience as she subjected to sexual abuse. As a matter of fact, this study discovered a strong sign of homicide’s tendency in statement of inclination which reflected personal desire.
A Hybrid Machine Learning Approach for Sentiment Analysis of Partially Occluded Faces

With millions of images and videos uploaded on social media every day, facial sentiment analysis has gained significant attention as means of gaining large scale insights into people's emotions and sentiments. While several models have been proposed for sentiment and emotion analysis of complete, camera-facing pictures, the analysis of images appearing in natural settings and crowded scenes poses more challenges. In such settings, images typically contain a mix of complete and partially occluded faces (i.e. obstructed faces) presented with different angles, resolutions and distances from the camera. In this paper, we propose a hybrid machine learning model combining convolutional neural networks (CNNs) and support vector machines (SVMs) to achieve accurate facial sentiment and emotion analysis of incomplete and partially occluded facial images. The proposed model was successfully tested using 4,690 images containing 25,400 faces, collected from a large-scale public event. The model was able to correctly classify the test dataset containing faces with different angles, camera distances, occlusion areas, and image resolutions. The results show a classification accuracy of 89.9% for facial sentiment analysis, and an accuracy of 87.4% when distinguishing between seven emotions in partially occluded faces. This makes our model suitable for real-life practical applications.
Ensemble learning boosts the inference accuracy of diffractive neural networks

We improve the inference performance of diffractive deep neural networks (D2NN) for image classification by utilizing ensemble learning and feature engineering. Through a novel pruning algorithm, we designed an ensemble of e.g., N=14 D2NNs that collectively achieve a blind testing accuracy of 61.14% on the classification of CIFAR-10 images, which provides an improvement of >16% compared to the average performance of the individual D2NNs within the ensemble. These results constitute the highest inference accuracies achieved to date by any diffractive network design and would be broadly useful to create diffractive optical machine learning systems for various imaging and sensing needs.
Management of Academic Information System in Higher Education

Information is very important for everyone and groups in the organization because it has an orientation to provide conveniences and benefits to users. In utilizing information, the existence of an Information System (SI) will be more systematic for certain interests. The purpose of this research is to describe in-depth and understand matters related to the management of academic information systems; namely, planning, organizing, implementing, supervising, and evaluating. This research uses a qualitative research approach with a multiple-case design. This research was conducted at Universitas Lambung Mangkurat (ULM), Banjarmasin, and Universitas Islam Negeri (UIN) Pangeran Antasari, Banjarmasin. The data collection techniques used in this research are interview techniques, observation, and documentation studies. The research results found; (1) Planning by updating the information systems and improving the quality of information will be more efficient for the satisfaction of information users and meet the needs of information recipients. (2) Distribution of tasks with coordinative communication and meet the needs will produce productive services and create convenience in delivering information for users and recipients of the information. (3) Implementation of services with electronic system updates will increase the effectiveness of the information quality. Also, doing socialization will support the increase in the information acquisition for information recipients. (4) Supervision of the updating of information systems will effectively improve the service quality for the information users. Evaluation of the information systems will be able to influence the quality of information use.
CONTENT ANALYSIS OF CHILDREN LITERATURE (POETRY) IN THE 2013 CURRICULUM ELEMENTARY SCHOOL STUDENT BOOK IN SHAPING CHILDREN'S PERSONALITY CHARACTERISTICS: AN OVERVIEW OF STYLISTIC ANALYSIS

Literary work is the result of an author's imagination through the medium of language. One form of literary works is poetry. As a literary work, poetry is bound to lines and stanzas. In this study, we discussed the problem of how the content of children's literature (poetry) contained in the 2013 curriculum thematic book of elementary school in shaping the students’ personality characteristics viewed from stylistic analysis. The purpose of the study was to determine the stylistics of children's poetry contained in the 2013 curriculum thematic books of elementary school. The type of this research was qualitative research using descriptive method. This research was in the form of a documentation study, which analyzed the forms of poetry contained in the thematic books of elementary school. Thus, the object of this research was these forms of poetry. Based on the results of data analysis, it was found that the children's poetry contained in elementary school students' books used several sound elements, such as rhyme, alliteration, assonance, anaphora, epanalepsis, mesodiplosis, and onomatopoeia. Meanwhile, the use of diction found in the book was in the form of Arabic diction. Then, the use of images was in the form of images of sight, hearing, smell, and taste while the figures of speech used in this book were personification, hyperbole, metaphor, and simile. Then, it was also found several language deviation, such as morphological, syntactic, and graphological deviations. The forms of children's poetry contained in the thematic books of elementary school weredesigned in accordance with the characteristics of children's poetry. This was seen from the way the elements of sound, diction, figure of speech, images, and language deviations are used.
The Impacts of Corruption on Attracting Foreign Direct Investment

Investment is a macroeconomic variable and its well-known as the engine of economy that boosts economic growth, economic development and sustainable development. Investment plays an important role in the livelihood welfare of citizens. All economies require different types of investments particularly Foreign Direct Investment/ FDI in different sectors. Based on empirical researches, mostly FDI has positive impacts on the sustainable economic growth of the host economies. On one hand, FDI transfers technologies, skills, innovations, experiences, techniques and knowledge to the host economies. On the other hand, it provides host economies with stable financial resources for long period of time. Thus, it is the responsibility of governments to open their borders toward FDI inflows in order to attract this valuable financial resource. Despite the fact that countries require FDI but corruption is one of the main obstacles against it.Theoretically, there is a negative correlation between corruption and FDI inflows. In other words, corruption negatively impacts the FDI inflows and decreases FDI volume. Because, corruption increases costs and decreases benefits of FDI, corruption deteriorates the competitive trade environment; corruption discourages foreign investors through protecting domestic investors and corruption negatively effects the productivity of foreign investors. In practice, although most of the empirical researches showed that corruption negatively impacts the FDI flows. But some empirical researches also confirmed that there is a positive correlation between corruption and FDI flows. Hence, countries are responsible in fighting against corruption to attract more FDI and in return benefits their sustainable economic growth.
The Effect of The Snowball Throwing Learning Model to The Science Learning Outcomes of Grade 5 Indonesian Student’s

The research objective was to determine the significant difference between student science learning outcomes taught through the Snowball Throwing model and students taught through conventional learning in class V SD Plus Tigabalata. The study population was all students in grade V SD Plus Tigabalata Jorlang Hataran academic year 2019/2020, totaling 65 students. Science learning outcomes data were collected using an instrument in the form of a regular multiple choice test. The t-test is this data. The results showed that there was a significant difference between students who took the Snowball Throwing model learning and students who took conventional learning (thit = 2,562> t table = 2,000) with db = 82 (Σn-2 = 84-2 = 82) and the level of significance 5%. So it can be concluded that the Snowball Throwing model has a significant effect on the learning outcomes of SD Plus class V IPA students in Tigabalata, Jorlang Hataran District
LibGuides: Marketing Outreach Toolkit: Canva

This project consists of a monthly emailed checklist of outreach tasks that all build on one another to achieve large-scale goals. The idea is to frequently show stakeholders that the library is advancing campus priorities.
How Students – Future Teachers Identify themselves… with the Issue of Organic Reaction Mechanisms in the Context of Chemistry Lesson Carried out at Schools

Lesson is the basic unit in the teaching and learning process. Both the teacher and students participate in it, therefore they all should be prepared for the class. The requirement of good substantive preparation for a lesson is not only empowered legally, but it also results from teacher’s own reflection on the improvement of educational process in the context of its effectivity. Recognition of a future teacher in terms of their personal cognitive preferencesand professional knowledge is key for the improvement of teaching quality. The main aim of the study was to find out factors that determine the students, decision to conduct lessons on the mechanisms of chemical reactions in organic chemistry at upper secondary school level. For this purpose the results from survey were analysed.
Evolution of Computer Aided Diagnosis

Computer aided diagnosis (CAD) has exhibited immense potential as a research domain in analyzing significant ailments with precision comparable to that of experienced medical practitioners. Advances in medical imaging have further boosted the efficiency of the process in extending its services to the mass. Recently many advancements in the domain of computer aided diagnosis have been observed due to progress in artificial intelligence and machine-learning-based approaches in assisting medical science. Nevertheless, there are couple of challenges that include collection of reliable data as one of the important aspects in advancement of CAD. The progress in designing advanced image-capturing devices and efficient segmentation techniques is gradually providing usable insights to deal with the limitations. This chapter discusses the significance of computer-aided diagnosis in contemporary times and also discusses the future scope for its diversified applications.