Reviewerly/exHarmony huggingface dataset:
IMPLEMENTASI KURIKULUM ENGLISH FOR SPECIFIC PURPOSES (ESP) DALAM MENINGKATKAN KETERAMPILAN BERBICARA MAHASISWA PADA BIDANG STUDI PARIWISATA DI KOTA BATAM

Penelitian ini bertujuan untuk mendeskripsikan bagaimana orientasi perencanaan, implementasi, evaluasi dengan menggunakan kurikulum English for Specific Purposes (ESP), dan hasil belajar mahasiswa dalam keterampilan berbicara. Penelitian ini menggunakan metode desktiptif evaluatif. Adapun teknik pengumpulan data dalam penelitian ini adalah kuesioner berupa angket, wawancara, studi dokumentasi, dan observasi. Selanjutnya analisis data berupa deskriptif statistik. Hasil dari pengolahan data menunjukkan bahwa orientasi konsep English for Specific Purposes (ESP) pada Prodi Pariwisata UIB kategori cukup, kategori baik untuk Prodi Pariwisata Manajemen Divisi Kamar (RDM), dan Prodi Pariwisata Manajemen Tata Hidangan (FBThis purpose the research is to describe how the orientation of planning, implementation, evaluation using the English for Specific Purposes (ESP) curriculum, and student learning outcomes in speaking skills. This study uses an evaluative descriptive method. The data collection techniques in this study were questions, interviews, documentation studies, and observations. Then the data analysis is in the form of descriptive statistics. The results of data processing showed that the orientation of the concept of English for Specific Purposes (ESP) in the UIB tourism study program was sufficient category, good category for the tourism Room Division Management (RDM), and Tourism Food&Bevarege Management (F&B). In the curriculum planning of the three study programs show good planning. Continued implementation in the UIB tourism study program shows that there are sometimes activities in the implementation of learning, whereas for the tourism Room Division Management (RDM), and Tourism Food and Bevarege Management (F&B) always carry out activities in learning. The evaluations carried out by each study program are good enough for UIB tourism study programs, while for the tourism Room Division Management (RDM), and the Tourism Food and Bevarege Management (F&B) evaluation is done well. Furthermore, student learning outcomes in speaking skills at the tourism study program (UIB) have not met the standard values that must be achieved, while for the Tourism Room Division Management (RDM), and the Tourism Food and Bevarege Management (F&B)) have met the KKM.
Features Application of the Dissection-Placing Method for Secure Data Storage in External Data Warehouses

The article considers the application of the dissection-placing method for secure storage of information in external, primarily cloud-based data warehouses. Various approaches to the implementation of the method, including patent material, are analyzed. It is shown that the method is most effective for bitwise dissection of files and random placement of bits in data streams sent to separate warehouses.
MEDIATING ROLE OF EMPLOYEE ENGAGEMENT ON JOB CHARCTERSTICS AND ORGANISATIONAL CITIZENSHIP BEHAVIOUR - CENTRIC TO INDIAN PUBLIC SECTOR TELECOM

Organisational Citizenship Behaviour (OCB) is playing key role in current COVID environment. Therefore, there is a need for complete OCB model to address the problems related to OCB. Accordingly, this article address the problem: what are the factors impacting OCB. To answer this queation, we conducted a review of articles and found that Job characteristics and Employee enagaement theoretically impacting OCB. Thus, in the current article the model is being exmined in which Job Characteristics is an exogenous variable, Organization Citizenship behavior is an endogenous variable, and Employee Engagement as mediator. The target population is of Public Sector Telecom employees in India. The sample size is 382 outof 65,000 Population (Robert V Krejice's, 1970) and simple random sampling technique was administred. A standard questionnaire was prepared and distributed via Google form and to acquire statistical evidence SPSS Process Macros and AMOS Software package were used. The outcome of the final model constructs was found to be valid and the Model fit was acceptable. We conclude that Employee Engagement is fully mediating the relation between Job Characteristics and OCB
Content Analysis and Design Trends of Indian Council of Social Science Research (ICSSR) Institutes’ Websites of India: An Evaluation

The study presented a web content analysis of a total of 29 research institutes that were under ICSSR (Indian Council of Social Science Research). To collect the primary data collection from the respective institute websites of ICSSR, observation and survey method was used as research methodology. A checklist was designed and data were collected during the months of March-April, 2020 that was further verified between the periods of 25 th May – 10th June 2020. After analyzing the data, it was found that 17 (89.47%) ICSSR reserach institutes are using one language (i.e. English) and 4 (13.80%) research institutes’ websites provide the date of updating information on website and 3 (10.34%) of them are updated within 3 months (Institute for Social and Economic Change, Sardar Patel Institute of Economic and Social Research and OKD Institute of Social Change and Development). All Research Institute provides Phone Nos. and email IDs and postal addresses on their respective website.
Penyusunan Laporan Keuangan dengan Menggunakan Sistem Website pada Toko Natasyia Collection

This program aims to transfer knowledge and techniques in making website-based financial reports at the Natasyia Collection Store so that you can create simple financial statements independently anywhere and anytime. This program approach uses data collection techniques, namely interviews, observation, and documentation. Based on interviews and observations, Natasyia Collection Stores still record financial activities manually using several books because they have not yet prepared financial reports. After implementing website-based financial reporting, Natasyia Collection Stores can quickly master and create simple financial statements. This program plays a positive role in increasing knowledge and abilities in the process of making financial reports.
The Significance of Teaching Independent Learning and Its Benefits for Students

This article focuses on the significance of teaching students' independent learning, which help them to be knowledgeable and independent learners. It is based on giving basic information about independent learning and its essential benefits for improving students' self-education. There are various points of view on this topic. The authors draw attention to the big role of command, team work. They consider project technology as one of its varieties, directed to enhancement of learner's creative and cognitive potential. The authors conclude that proper organization of independent work contributes much to development of students' independent learning and reflective skills.The concept of ‘independent learning' is connected with, or part of, a number of other educational concepts and wider policy agenda of contemporary relevance such as ‘personalized learning', ‘student-centered learning' and ‘ownership' of learning. It has been seen as one of the important elements of ‘personalized learning' and as basic to the continuing development of a system of school education that promotes high quality and lifelong learning and social equity and cohesion.n
Continuous Improvement of College English Teaching Based on Quantitative Analysis of Course Objective Achievement

The introduction of Outcomes-based Education (OBE) in College English teaching can help to carry out student-oriented education. The OBE teaching method is guided by students' learning outcomes, and it can feedback the continuous improvement. Based on the OBE teaching concept, this paper presents a continuous improvement method for college English teaching based on quantitative analysis of course objective achievement. Based on this method, the teaching effect of College English can be evaluated quantitatively, and weaknesses in teaching can be found to implement a closed-loop of continuous improvement. The methods presented in this paper can improve the quantitative evaluation methods of College English teaching quality and provide strong support for the continuous improvement of College English teaching. (Abstract)
Kesulitan Belajar Siswa Kelas X Akuntansi Pada Mata Pelajaran Akuntansi Dasar Di SMK Negeri 1 Banyudono Tahun Pelajaran 2019/ 2020

The purpose of this research is to describe the causes of learning difficulties of accounting class X students in basic accounting subjects at SMK Negeri 1 Banyudono in the academic year 2019/ 2020, and efforts to overcome the causes of learning difficulties of class X accounting students in basic accounting subjects at SMK Negeri 1 Banyudono in the academic year 2019/ 2020. The method used in research is qualitative research with an ethnographic approach. Data collection through observation, interviews, and documentation. The results showed that the causes of learning difficulties experienced by students were internal factors including interest, understanding, physiological factors (less active), ability, concentration while external factors included learning atmosphere, methods, teaching materials, time, facilities, background. The impact of learning difficulties affects unfavorable results when evaluating. The effort made by the teacher is to ask again the part that is not understood by students to really understand, replace the method with another method. The conclusion of this study is that internal and external factors that cause learning difficulties have an impact on poor evaluation results with various efforts of teachers to overcome learning difficulties in order to achieve maximum learning outcomes.
PENJADWALAN PROYEK MENGGUNAKAN METODE PERT (PROGRAM EVALUATION AND REVIEW TECHNIQUE) PADA PROYEK PEMBANGUNAN ELYON CHRISTIAN SCHOOL SURABAYA

In implementing a project there are 3 important things that need to be considered for the success of a project, Cost, Quality and Time. These 3 things are always taken into account the compilation will begin project implementation, but of these 3 things are parts that can affect the cost and quality. When determining the project completion time it is not necessary to consider the success of the project, the anticipation of the project will be completed on time and will be smaller and this improvement project will increase the greater the delay. In order to study the problem at hand, this study uses the PERT method (EVALUATION PROGRAM AND REVIEW ENGINEERING) for a specified duration of 150 days. The results of this study obtained data that to get approval for project completion of 85% -99.55%, the duration of project implementation needed is 170-200 days.
TJC's Ken Craver Recognized by Texas Distance Learning Association

Tyler Junior College Distance Education Director Ken Craver has received the Excellence and Innovation in Distance Learning Award from the Texas Distance Learning Association.
Developing English Printed Material on Theme of Animal for Early Young Learners at PAUD Terpadu Joy Kids Makassar

This research and development applied ADDIE Model which consists of analysis, design, development, implementation, and evaluation. In accordance with the result of interview and documents analysis, it was found that the English material created focused on introducing vocabulary. There were 20 students, I teacher, and 2 experts involved in this research. Furthermore, the material was in form of printed material.
Community outreach initiatives at UNCG Libraries [slides]

Slides from a presentation given in October 2018 at the Entrepreneurial Librarian Conference in Winston Salem, North Carolina.
Calculators and the slack channel as a Math-Code Gym

The Numworks/TI-84 python calculator, which encapsulates, functionality ranging from a python shell, to built in and customisable support for statistics, functions, regression, sequences and data mining, is directly amenable to a functionality as a math and code gym towards mental arithmetic and several number theory based therapies, such as prime number therapy. Similar functionality is achieved on the slack channel, with the Wolfram Alpha API.In this paper we describe the use of python scripts towards primality detection exercises, of both small primes and arbitrary sized numbers and several other exercises including sequence prediction, inspired by branch prediction architectures, plotting functions and exercises in data mining, in spotting patterns and forming a basket of associations.Keywords: Numworks, Math and code gym, primality detection, data mining, basket of associations, sequences, branch prediction, plotting graphs.
Library Home: eBooks: Collections

The d'Alzon Library has an extensive collection of eBooks, searchable from our library search bar. These eBooks cover a variety of disciplines including business, economics, technology, engineering, humanities, arts, and sciences.
Value of Trust: Pricing Utility Tokens in a Blockchain-based Network

Blockchain technology has the potential to revolutionize the way trusted computing is delivered to end users. One of the pillars enabling the shift is a decentralized token-based business model. While intuitively appealing, little is known about the economic properties of such models. In this note we consider a setting where trusted computation is delegated to the nodes with probabilities proportional to their ”stakes” in the network, that is, the number of tokens they own and lock up as a collateral. In this setting we find the equilibrium token price, number of miners participating in the system and show how trust created by the blockchain is reflected in the token valuation.
Acoustic Pattern Recognition Based Digging Detection using Bayesian Network Classifier

Events happening around us generate many sound signals. Some examples of these incidents are shooting in cities or forested areas, humans chopping wood in forested areas, calling for wild animals or chi birds, talking to vehicles driving in the forest or talking to people illegally crossing a safe border. In these incidents, it is very important to detect the mine activities and their locations, because they indicate illegal intrusion by laying mines or digging holes, placing animal traps in the forest, etc. This paper proposes a method to identify soil dig events in the presence of other forest noise. The sound signal for soil dig is collected by keeping the microphone at different distances from the sound source and digging. Signals were analyzed using spectrogram. A Bayesian Network Classifier is applied to classify the event.
Learning interpretable representations for classification, anomaly detection, human gesture and action recognition

The goal of this thesis is to provide algorithms and models for classification, gesture recognition and anomaly detection with a partial focus on human activity. In applications where humans are involved, it is of paramount importance to provide robust and understandable algorithms and models. A way to accomplish this requirement is to use relatively simple and robust approaches, especially when devices are resource-constrained. The second approach, when a large amount of data is present, is to adopt complex algorithms and models and make them robust and interpretable from a human-like point of view. This motivates our thesis that is divided in two parts.The first part of this thesis is devoted to the development of parsimonious algorithms for action/gesture recognition in human-centric applications such as sports and anomaly detection for artificial pancreas. The data sources employed for the validation of our approaches consist of a collection of time-series data coming from sensors, such as accelerometers or glycemic. The main challenge in this context is to discard (i.e. being invariant to) many nuisance factors that make the recognition task difficult, especially where many different users are involved. Moreover, in some cases, data cannot be easily labelled, making supervised approaches not viable. Thus, we present the mathematical tools and the background with a focus to the recognition problems and then we derive novel methods for: (i) gesture/action recognition using sparse representations for a sport application; (ii) gesture/action recognition using a symbolic representations and its extension to the multivariate case; (iii) model-free and unsupervised anomaly detection for detecting faults on artificial pancreas.These algorithms are well-suited to be deployed in resource constrained devices, such as wearables.In the second part, we investigate the feasibility of deep learning frameworks where human interpretation is crucial. Standard deep learning models are not robust and, unfortunately, literature approaches that ensure robustness are typically detrimental to accuracy in general. However, in general, real-world applications often require a minimum amount of accuracy to be employed. In view of this, after reviewing some results present in the recent literature, we formulate a new algorithm being able to semantically trade-off between accuracy and robustness, where a cost-sensitive classification problem is provided and a given threshold of accuracy is required. In addition, we provide a link between robustness to input perturbations and interpretability guided by a physical minimum energy principle: in fact, leveraging optimal transport tools, we show that robust training is connected to the optimal transport problem. Thanks to these theoretical insights we develop a new algorithm that provides robust, interpretable and more transferable representations.
The Practice and Enlightenment of Online Teaching Mode in Higher Education

In 2020, in order to deal with the impact of COVID-19 epidemic on university teaching, the Ministry of Education led and organized dozens of online course platforms to carry out the largest scale of higher education online teaching in the world. It indicates that online teaching has become an important teaching method in higher education in China. The thesis will discuss the online teaching practice of higher education in China in 2020 and analyze the enlightenment brought by online teaching.
LibGuides: Global Languages Digital Library: Teaching Tools

E books, audiobooks, magazines, and database resources that are perfect for learning Mandarin, French, or Spanish
Book reviews: Earth materials. Introduction to mineralogy and petrology (Second edition), by Cornelis Klein and Anthony R. Philpotts, 2017. Cambridge University Press, Cambridge, UK. 616 pages. Paperback: price £44.99 ISBN: 9781316608852.

Sciendo provides publishing services and solutions to academic and professional organizations and individual authors. We publish journals, books, conference proceedings and a variety of other publications.
Empirical Study of Text Augmentation on Social Media Text in Vietnamese.

In the text classification problem, the imbalance of labels in datasets affect the performance of the text-classification models. Practically, the data about user comments on social networking sites not altogether appeared - the administrators often only allow positive comments and hide negative comments. Thus, when collecting the data about user comments on the social network, the data is usually skewed about one label, which leads the dataset to become imbalanced and deteriorate the model's ability. The data augmentation techniques are applied to solve the imbalance problem between classes of the dataset, increasing the prediction model's accuracy. In this paper, we performed augmentation techniques on the VLSP2019 Hate Speech Detection on Vietnamese social texts and the UIT - VSFC: Vietnamese Students' Feedback Corpus for Sentiment Analysis. The result of augmentation increases by about 1.5% in the F1-macro score on both corpora.
ONLINE VOTING SYSTEM

Most countries have many problems when it comes to voting like inaccessible polling stations ,inadequate polling materials and also inexperienced personnel.The “Online voting system” seeks to address above issues . With this system in place , the users , citizens in this case can be given ample time during voting period.They shall also be trained on how to vote online before election time.
Incorporating background knowledge in tucker

Knowledge graphs are a way to represent a large number of relational facts coming from real-world knowledge. Since that knowledge is generally incomplete, a vast research area, known as Link Prediction is devoted to infer possible unknown facts based on the existing ones. We focus on a recent state-of-the-art linear model called TuckER that was introduced for the task of link prediction by Balazevich et al. (Balazevic et al., 2019). In this project, we propose ways to incorporate background knowledge about symmetric and asymmetric relations. We show that our model performs better than the TuckER model on those relations while requiring half of the parameters.
Subject Guides: Using Shelf Browse in Encompass Search: Keep in mind...

The shelf browse function can help you find what is on the shelf -- even if you're not in the Library!
SAÚDE MENTAL E TRABALHO NO CONTEXTO DA PANDEMIA POR COVID-19: PROPOSTA PARA VIGILÂNCIA EM SAÚDE

The Covid-19 pandemic affected the peoples’ life, causing illness, psychological distress and death. This article presents methodological research-intervention strategies to survey cases of common mental disorder (CMD) in workers of the state of Bahia relating it to the pandemic. A Bibliographic review was conducted to outline the health surveillance proposal based on the descriptors: “transtornos mentais”, “Covid-19”, “pandemia por Coronavirus e transtorno mental” and Covid-19, with search on the Medline database and Google Scholar website. Actions were delimited in specific dimensions: (1) searching for CMD cases from the e-SUS VE and Sivep-Gripe information systems; articulation with representative bodies of workers and search for suicide attempts and deaths from external causes based on secondary data; (2) investigating of the relationship between mental disorder and work and its consequent notification in an information system. The survey of CMD in workers will allow knowing the magnitude of the event in the population. The design of a pilot project as an action strategy allows the identification of facilitators and barriers in the implementation process considering the adapting and/or expanding needs of the intervention to other regions within the State Workers’ Health Network. The interinstitutional teaching-service articulation expands the capacity for understanding and delimiting health surveillance responses, supporting individual and collective actions, assistance and prevention of mental disorders in the worker population.
LibGuides: Occupational Therapy (OT): Help

A guide to help students and educators learn about occupational therapy and related resources.