Reviewerly/exHarmony huggingface dataset:
The Students’ Perception of Voice Chatting through WhatsApp in Speaking Class

The advance of internet has been expanding the possibilities for language learning, especially in teaching speaking. Online activities through internet, therefore, have been recently implemented in language learning in order to achieve higher amount of speaking practices. One of the online activities which can be conducted in speaking classes is voice chatting. This study was intended to investigate students’ perception on the implementation of voice chatting through WhatsApp in speaking class. The aspects of perception covered in this study were confidence, difficulties, interest, stress, and motivation. Population in this study was 30 EFL (English as a Foreign Language) students in grade 11 of senior high school level. The data of students’ perception were collected through a close-ended questionnaire. However, students also stated the reasons of their response. The quantitative data were then analyzed through SPSS while the qualitative data were described to support the findings of students’ perception toward the implementation of voice chatting through WhatsApp. The finding showed that majority of students had positive perception toward the implementation of voice chatting through WhatsApp, especially in the aspect of interest and stress level.KEYWORDS Perception, Voice Chatting, WhatsApp
The acceptance of mLearning amongst the suburban college students: A micro-level study in North 24 Pargana of West Bengla

The revolution of mobile phones is not merely limited to calling or texting; it has reached almost every sphere of humankind. In this 21st century, studies have claimed that mobile phones' accessibility is comparatively higher than the toilet. Nearly 6 billion people worldwide now are accessing a working mobile handset (UNESCO, 2014). The ubiquitous use of mobile phones brings mobility to its users and helps them accept this ICT based technology worldwide. This new technology of communication also has a remarkable contribution to the educational sector. Its real-time communication makes learning effortless and congenial to the potential learners. This study will explore mobile-based learning technology among the higher education aspirants of suburban colleges in North 24parganas of West Bengal. Suburban students are not getting the same facilitates as metro city students. Besides that, suburban culture and social taboos sometimes make problems to use or access mobile phones by students. However, this will not be focused on the comparison between metro city students and suburban students. Moreover, this study will focus on the usage of mobile phones among suburban college students and to what extent these students are comfortable with the mobile learning method. M-learning or mobile-based learning is "learning across multiple contexts, through social and content interactions, using personal electronic devices" ( M-Learning: Revision History - Wikipedia , 2020). The benefits of mLearning not only accepted by the students and educational institutions also the Indian higher education departments now have concentrated on this technology for its mass availability, user-friendly access, instantaneous sharing capacity, personalized uses, and Running connectivity. In the future, the limitations and barriers of learning can be overcome through mLearning technology.
Library Guides: Business: Searching Harvard and Sage Cases

Search tips for locating cases in the HBS Select Case Study Collection and Sage Business Cases
Comparative Study of Strain Using 2D Digital Image Correlation and Extensometer on Glass Fiber

Stress and strain analysis of any material becomes important in modern engineering. Measurement method of mechanical properties have evolved throughout the decades. Digital Image Correlation is one of those methods which sits well in the futuristic method of measuring the strain and other image analysis. Even though the birth of DIC happened in 1980s, it has gone through rigorous expansion and have been rightly placed in modern experimental analysis techniques of finding strain in any given material. In this paper, its presented the application of 2D DIC in computing the strain in composite material. MATLAB, which is one of the prominent platform in image analysis, is used to process the images and run the algorithm for DIC. This study shows how DIC responds to the behaviour of relatively brittle material and also insight on the stress localization.
VIRTUAL EDUCATION AND ITS REGULATION IN THE HUMANITARIAN SUPPORT ACT DURING THE PANDEMIC

La investigacion se baso en un estudio de incorporacion y desarrollo de los procesos en donde la educacion virtual de manera indirecta cumple un rol protagonico durante la pandemia de la COVID-19 y el consecuente confinamiento de los habitantes del planeta, en la dificil tarea de enfrentar la enfermedad y buscar mecanismos para evitar su propagacion. El objetivo fue determinar los efectos generados en la educacion virtual en el contexto de la legislacion de la Ley Organica de Apoyo Humanitario durante la pandemia. En tanto que investigadores, docentes, alumnos y el equipo administrativo que da soporte a sus actividades han dicho al mundo que la formacion no se detiene, que el aprendizaje no se posterga; por ello, en un esfuerzo titanico han implementado estrategias de educacion virtual. Sin duda alguna, la Ley Organica de Apoyo Humanitario para combatir la crisis sanitaria derivada de la Covid-19, busca establecer medidas de apoyo y mitigacion necesarias para enfrentar las consecuencias de este fenomeno global que afecto las estructuras economicas, politicas y sociales de la humanidad. El cumplimiento de estos fines es una tarea de todos los actores de la sociedad, para lo cual el Estado se reserva el derecho a obligar a las instituciones educativas a no suspender de ninguna forma el servicio educativo en todos sus estamentos; y de otro lado, la ensenanza virtual se constituye en un reto para todos quienes conformamos la comunidad educativa, debido a ciertas consideraciones necesarias para su adecuada aplicacion. Palabras clave: Educacion virtual, ley, pandemia. ABSTRACTThe research was based on a study of the incorporation and development of the processes in which virtual education indirectly plays a leading role during the COVID-19 pandemic and the consequent confinement of the inhabitants of the planet, in the difficult task of confronting the disease and seeking mechanisms to prevent its spread. The objective was to determine the effects generated in virtual education in the context of the legislation of the Organic Law of Humanitarian Support during the pandemic. Researchers, teachers, students and the administrative team that supports their activities have told the world that training does not stop, that learning is not postponed; therefore, in a titanic effort they have implemented virtual education strategies. Undoubtedly, the Organic Law of Humanitarian Support to combat the health crisis derived from Covid-19, seeks to establish support and mitigation measures necessary to face the consequences of this global phenomenon that affected the economic, political, and social structures of humanity. The fulfillment of these goals is a task of all actors in society, for which the State reserves the right to oblige educational institutions not to suspend in any way the educational service at all levels; and on the other hand, virtual education is a challenge for all of us who make up the educational community, due to certain considerations necessary for its proper implementation. Keywords: Virtual education, law, pandemic.
A new construction of mutually unbiased maximally entangled bases in ℂq⊗ℂq

This paper is devoted to constructing mutually unbiased maximally entangled bases (MUMEBs) in [Formula: see text], where [Formula: see text] is a prime power. We prove that [Formula: see text] when [Formula: see text] is even, and [Formula: see text] when [Formula: see text] is odd, where [Formula: see text] is the maximal size of the sets of MUMEBs in [Formula: see text]. This highly raises the lower bounds of [Formula: see text] given in D. Xu, Quant. Inf. Process. 18(7) (2019) 213; D. Xu, Quant. Inf. Process. 19(6) (2020) 175. It should de noted that the method used in the paper is completely different from that in D. Xu, Quant. Inf. Process. 18(7) (2019) 213; D. Xu, Quant. Inf. Process. 19(6) (2020) 175.
Vector Multilevel Tone-Dependent Error Diffusion in the YyCxCz Color Space

In this paper, we present a tone-dependent fast error diffusion algorithm for color images, in which the quantizer is based on a simulated linearized printer space and the filter weight function depends on the ratio of the luminance of the current pixel to the maximum luminance value. The pixels are processed according to a serpentine scan instead of the classic raster scan. We compare the results of our algorithm to those achieved using the fixed Floyd-Steinberg weights and processing the image according to a raster scan ordering.
Research Guides: Library and Learning Commons (LC) Item Requests: Borrowed Tech - Set-up/Troubleshooting

This guide provides information on requesting, picking-up, setting-up, and returning borrowed items from the Library and Learning Commons. This guide provides useful information on how to set-up and troubleshoot your borrowed technology.
Estimation of reference evapotranspiration (ETo) at Parbhani, Maharashtra

Evapotranspiration (ET) is an important parameter for climatological and hydrological studies, as well as for irrigation planning and management. The FAO Penman-Monteith method (P-M) is the method recommended by FAO-56 for estimation of ETo over a wide variety of climatic situations over the world and it requires many types of climatic data. A study has been carried out to estimate the mean daily ETo characteristics of Parbhani in Maharashtra. The results showed that, the variation of average daily ETo values over the period (1982-2017) ranged from 3.45 mm day-1 (26th December) to 10.46 mm day-1 (29th May). The weekly mean ETo varied between 3.59 mm day-1 (52nd SMW) to 10.17 mm day-1 (22nd SMW). The total ETo is highest in the month of May (292.46 mm) followed by June (244.13 mm) and lowest in December (114.47 mm) followed by January (126.14 mm). It is observed that, there is progressively decrease in the total seasonal ETo from summer season (February to May) to kharif (June to September) and rabi (October to January) seasons. The average annual ETo was 2155.85 mm.
An interdisciplinary study for the development of integral Japanese textbooks for foreign-rooted children using Yasashii-Nihongo (Easy Japanese)

The different aspects to learning the Japanese language vary in difficulty, with the syllabaries that form part of the Japanese writing system and pronunciation being seen as relatively straightforward elements. Learning Japanese grammar is also considered to be relatively straightforward, but learning the logographic Chinese characters is considered very difficult. Foreign people living in Japan may struggle with these different aspects of learning the Japanese language and, without at least a basic understanding of the Japanese language, will likely find life challenging. Professor Isao Iori, Center for Global Education and Exchange, Hitotsubashi University, Japan, is heading up a project to help long-term foreign residents (LFR) learn Japanese and adequately function in Japanese society. The project covers Japanese language education for children of LFRs and deaf children. A key concept for Iori and the team is Yasashii Nihongo, which refers to easy or plain Japanese and is designed to help LFRs express themselves. The concept involves LFRs learning an easier version of the Japanese language while native speakers of Japanese adjust their Japanese to a level that can easily be understood by LFRs. The researchers have created a realistic, ideal model for Yasashii Nihongo becoming a common language, that involves gradual implementation as well as making clear the necessity of a common language for native Japanese speakers and LFRs alike.
K-Graph: Knowledgeable Graph for Text Documents

Abstract Graph databases are applied in many applications, including science and business, due to their low-complexity, low-overheads, and lower time-complexity. The graph-based storage offers the advantage of capturing the semantic and structural information rather than simply using the Bag-of-Words technique. An approach called Knowledgeable graphs (K-Graph) is proposed to capture semantic knowledge. Documents are stored using graph nodes. Thanks to weighted subgraphs, the frequent subgraphs are extracted and stored in the Fast Embedding Referral Table (FERT). The table is maintained at different levels according to the headings and subheadings of the documents. It reduces the memory overhead, retrieval, and access time of the subgraph needed. The authors propose an approach that will reduce the data redundancy to a larger extent. With real-world datasets, K-graph’s performance and power usage are threefold greater than the current methods. Ninety-nine per cent accuracy demonstrates the robustness of the proposed algorithm.
Professional and ethical qualities of a natural science specialist

The article analyzes the professional and ethical qualities of a natural science specialist, which must be formed in institutions of secondary vocational education during the training period for successful further professional activity. In the analysis of scientific and methodical literature identified the main groups of professional and ethical qualities that should be possessed by a future specialist science profile, graduate with a degree in pastry chef. The structure of professional and ethical attitudes of a pastry chef is studied, and a detailed classification of professional and ethical qualities of a specialist is developed and presented.
Arrendale Library: Permalinks for Online Services: SAGE Publications

This guide will show how to obtain permalinks to journal articles, ebooks and ebook chapters, and videos found in the Library's online research services. Permalinks can be used to create links to learning objects in Canvas courses.
IMPACTS OF COVID-19 ON TOPICS OF DISCUSSION IN ONLINE ACCOMODATION REVIEWS

The novel coronavirus-19 pandemic, also known as the COVID-19 pandemic, has continued to affect the global economy in consequential ways as the effects of the virus continue to put companies and industries at risk. The service sector is being faced with unique difficulties caused by severe demand shortages fueled by lost income and uncertainty about the future, particularly for the hospitality and tourism industries due to less traveling (Boone et al., 2020, pp. 39-40). Due to the sudden demand-side shortages, it is especially important for managers to understand the perspectives of those customers in order to best adapt to the changing environment in the hospitality industry.This empirical study extracts the latent topics from a large training set of tens of thousands of online reviews that were scraped from Agoda.com regarding accommodations in South Korea. In order to analyze qualitative information from text at scale, text mining techniques can be utilized, specifically topic models. Latent Dirichlet allocation (LDA) was first proposed by Blei et al. (2003) as a stochastic, hierarchical Bayesian topic model that learns the latent topics in a corpora of text and assigns probabilities to documents (e.g., reviews) based on the probabilities that those documents contain the topics. LDA has been used by several studies to analyze online reviews of accommodations in order to gain insight into customer experience and decision making processes (Guo et al., 2017; Sutherland et al., 2020; Sutherland and Kiatkawsin, 2020; Zhang, 2019a, 2019b). This study also utilizes latent Dirichlet allocation to evaluate customers eWOM over time.Using latent Dirichlet allocation, the extracted topics are utilized to evaluate a testing subset of data ranging from pre-COVID-19 to post-COVID-19 reviews. Changes in the importance of topics are detected and analyzed to establish how the COVID-19 pandemic has impact on the topics of discussion in customer online reviews in a Topics Over Time (ToT) approach. The results show that there is a statistically significant increase in the online reviews regarding comments about some accommodation characteristics (e.g., quality of facilities) while there is a significant decrease in other areas of interest.
Information System in Python

The presentation of the proposed methodology emphasized the need for modern information systems in order to implement the necessary methods. The purpose of the information system is to implement efficiently the algorithms described in the previous section in order to support the decision-making process.
Design and implementation of spatial analysis module for forestry ecological engineering monitoring system

Abstract Spacial Analyst(SA)is the core technology of GIS and it’s also the technology which is different from other information systems. In this paper, the design of spatial analysis module is a sub-module of forestry ecological engineering monitoring system. in view of the forest is dispersed, vast and dynamic, the long-term characteristic, this paper designs its functions include digital terrain analysis, spatial characteristics of geometric analysis, statistical analysis, etc., and it briefly introduces the method and technical requirements of realization of each function module, the result is suitable for resourceful forestry workers are applied in the spatial data processing and analysis.
PEMANFAATAN METODE PROMETHEE UNTUK SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN TARGET PROMOSI KAMPUS STMIK INDONESIA BANJARMASIN

The development of data mining as an increase in algorithmic calculations has led to the development of many new methods in decision-making systems in the work environment.This study used the Promethee 2 method with the MCDM (Multiple Criteria Decision Making) technique. Decision making is done by selecting or formulating different attributes, objectives, and goals, so attributes, objectives and goals are considered as criteria. The criteria are built from basic human needs and the values they want, as an alternative in making decisions in the selection of a public / equivalent high school as a target in choosing a place for future campus promotions using several choice categories and sub-categories.The use of promethee is to determine and generate decisions from several alternatives. The main problem is simplicity, clarity and stability. Promethee functions to process data, both qualitative data at the same time. Where all data are combined into one with the weight of the assessment that has been obtained through an assessment or survey. By using approximately 1500 datasets taken from the academic section and PMB (New Student Admission) and processed with algorithms and selected with each specified weighting criteria, the results of the assessment are included in the promethee algorithm calculation in analyzing student students from various regions with algorithmic calculations are expected to be input for the campus in determining the feasibility of becoming the most effective promotion venue for future campus promotions.
Quick Questions in Mathematics (Based on the 1st Grade Mathematics Textbook)

Information on the use of the Quick Answer didactic game in the mathematics lesson of primary education. Examples of quick questions based on the 1st grade textbook Mathematics are given
Student-teachers' Pedagogical Reasoning in Technological Pedagogical Content Knowledge Design Tasks: a Cross- Country Multiple Case Study in Initial Teacher Education Institutions

Teachers' professional expertise is based on (but not limited to) a complex, multifaceted and situated professional knowledge, in this dissertation identified in the Technological Pedagogical Content Knowledge (TPCK) framework. Literature has widely investigated the interconnections between TPCK and tacit non-rational underpinnings - in this dissertation identified in the construct of dispositions - when it comes to integrating technologies into teaching practices. Furthermore, a successful technology integration, supported by strong knowledge bases and positive dispositions, implies specific decision-making processes to be enacted - in this dissertation identified in the construct of pedagogical reasoning. Hence, it is crucial to investigate how teachers reason professionally about integrating technologies, e.g. in a core teaching practice such as designing a learning unit.Whereas quite broad is the literature on the efficacy of engaging student-teachers in design tasks supporting dispositions and TPCK's improvement, it is still unclear if and how these tasks can engage some sort of pedagogical reasoning. The present dissertation reports on a research carried out at pre-service level to investigate how TPCK-informed design tasks may engage student-teachers in pedagogical reasoning, considering their implicit dispositions on the matter of technology integration in education. The ultimate aim of the research is to provide empirical evidence for a better understanding and fostering of reasoned technology-integrated teaching practices, to the service of initial education programmes, scholars and practitioners.Given the complexity of the phenomenon and the contextual influence on it (i.e. the specific pre-service academic strategies used), this research takes the form of a multiple case study engaging three Higher Education institutions across Europe, in their Initial Teacher Education (ITE) programmes (N=345). The multiple case study included the implementation of several instruments for data collection, namely (1) observation, (2) documentation, (3) focused interviews and (4) a pre-/post - questionnaire. The reader will find both case-specific and cross-case analyses of the phenomenon at study.Overall, the emerging findings would suggest ITE's strategies fair efficacy in supporting student-teachers' knowledge bases and dispositions toward technology integration, both powerful and positive enablers for future behaviours. On the other hand, notwithstanding the case-specific strengths, findings suggest that part of the student-teachers' reasoning processes for technology integration in design tasks, may find its roots elsewhere. The conclusions of the present research would suggest the need for further investigation of the phenomenon.
Assessment of the early level of distance education effectiveness

Nowadays digital education is the one of the main parts of our life. The pandemic situation influenced greatly on digitalization of Russian higher education. Some of higher educational institutions weren’t ready for digital educational activity. This paper concerns the problem of the start of the implementation of digital education at Higher Educational Institutions. The aim of the study is to assess the efficiency of digital education at YSTU in period of the beginning of distance learning. The survey of students revealed in May, 2020, along with the defining of different types of training and the attempts to describe the factors effect on the results of the study. As a methodology we used quantitative research methods, namely, anonymous questionnaires of 204 students of the 1st and 2nd years of YSTU. The survey was conducted one month after the start of distance learning. The results can be used for statistical analysis carried out within the framework of the education reform.