Reviewerly/exHarmony huggingface dataset:
What can we learn from the Semantic Web to ‘revamp’ our Historical Research?

This article comes as a result of the self-learning process I went through to understand what linked data is and how to use the semantic web model for collecting and organising my own historical data. In order to share this experience with a wider, non-specialised audience, I have written an introduction to the fundamental concepts behind the semantic model, accompanied by some brief reflections on their conceptual implications and examples on how to apply them to socio-historical data. In so doing, I wrote the introductory reflection that I wished I had known when I first heard the semantic web. The review of key concepts offers definitions for relational and linked data, graph database, RDF, semantic triple, vocabulary, ontology, and OWL. It is however a basic introduction, and it does not pretend to serve as a new contribution to the field or as a tutorial for learning how use RDF or OWL. Instead, it offers a beginner’s guide for students and researchers alike; it aims to show the reader where to start and what to expect.
Shot-by-shot estimation of quantum measurement accuracy via quantum Bayesian inference

Ordinarily, quantum-measurement based state discrimination methods use Bayesian inference to determine the maximally likely optical input state out of N possible inputs. Each practical single-shot measurement yields a unique vector of N likelihood values (one per each possible outcome) whose significance is not appreciated. Here we show theoretically and experimentally that measured Bayesian likelihood values are equal to observed probabilities of a successful state discrimination. Thus, the vector of Bayesian likelihoods provides significantly more information about the input state than is available in a typical state discrimination measurement.
LibGuides: ENGL101 Course Guide: Home

In this workshop students will learn to evaluate different source types in information ecosystem (web and library). They are given known items to search for and evaluate.
TAHAPAN-TAHAPAN DALAM PROSES PENGEMBANGAN KOLEKSI (Studi Kasus Perpustakaan Universitas Gajah Putih Takengon, Kabupaten Aceh Tengah)

Collection development is a core activity that has the task of holding and expanding collections in terms of collections in a library. The purpose of developing a collection is to expand and obtain a up-to-date collection. The University of Gajah Putih Takengon Aceh Tengah Library is a private university library that functions as an information institution to support the implementation of the Tri Dharma Perguruan Tinggi. In supporting the implementation of the Tri Dharma Perguruan Tinggi and fulfilling the information needs of its users, libraries need to develop collections and formulate collection development policies. This paper examines the stages of the collection development process at the Gajah Putih Takengon University Library Aceh Tengah regency and the collection development policy. This research uses qualitative methods with a descriptive approach. Data collection obtained through observation, interviews and literature study. The results showed that the stages of the collection development process at the Gajah Putih Takengon University Library Aceh Tengah regency were carried out simply without using a written collection development policy. In addition, the minimum number of librarians and budget is a logical factor for libraries in carrying out collection development activities.
Pengaruh Persepsi Kegunaan dan Kemudahan terhadap Keputusan Penggunaan Fitur Go-Food Aplikasi Online Go-Jek

This research aims to find out and get a study of the effects of Perception of Usefulness and Ease on the Decision to use Go-Food Feature of the Go-Jek Online Application . This study used survey research method as part of quantitative approach . In collecting data, this study applied both primary and secondary . The method of data analysis using multiple liner regression analysis, test the coefficient of determination (R 2 ), T test and F test. The population in this study is not known with certainty the number (infinite population) and samples obtained using the Lameshow formula method of 100 respondents. The result of the usefulness of perception variable (X 1 ) obtained t count = 5,269 > t table = 1, 660 with a significant value of 0 , 000 t table = 1, 660 with a significant value of 0 , 000 F table = 2,36 while the significance is 0 , 000 < 0, 05 which means independet variable (use of perception and ease of perception) simultaneously affect the dependent variable (use of decision) and significantly. The coeficient of determination (R 2 ) shows R square 0,563or 56,3% which means that the variation use of decision variables can be explained by the use of perception and ease of perception.
Differentiation of Education as a Means of Improving the Quality of Technological Education

Development of scientific and technological progress at the present stage requires an increase in knowledge in the field of technology. In recent years, the interest of teachers in educational institutions to apply a differentiated approach to technological education has significantly increased. The application of the differential approach is more and more used in the process of training specialists in technological education. This article provides a theoretical justification for the application of differentiation of education as a means of improving the quality of technological education in a university. The problems of differentiated learning in the process of teaching university students are substantiated. Definition of differentiated teaching is given as a form of organization of the educational process, in which the teacher works with a group of students. Taking into account the presence of any common qualities that are significant for the educational process. An experiment was conducted in the article to determine the effectiveness of the differentiated approach for the educational process. It consists in the qualitative organization of the teacher’s pedagogical activity, the development of the content and ways of organizing-multilevel education, which ensures development of the intellectual and personal-potential of all students. Process takes into account the level of education, and their progress towards learning on higher level. The result of applying a differentiated approach in technological education is determined.
Coaching Class Treding Saham LQ-45 untuk Mahasiswa Universitas Bumigora

The main problem faced by these partners is people's understanding of the capital market, both technical and non-technical. For technical problems, the community does not understand how to start stock treding in the capital market regarding the application, methods, and tools. Meanwhile, the non-technical obstacles faced are the problem of knowledge about treding how to get good benefits, how to reduce risks, and what types of investment should be made in investing. The solution and target to be achieved are to increase the ability and interest of the community, especially students, to start investing in the capital market with various application tools. The method used in this service is by means of coaching classes accompanied by simulations in the framework of learning development and service-learning on stock trading tools affiliated with the Indonesian stock exchange. At the time the service began with learning the basics of the capital market to students then continued with real simulations using a virtual account with a 30-minute delay from real-time data from the Indonesia Stock Exchange. The result obtained is to open horizons of thought that stock trading is not difficult, it can be done by anyone. In the process, in the virtual accounts, many students managed to get a positive return income.
LibGuides: Streaming Video: A Guide to Streaming Video Collections from NOVA Libraries: For Instructors: Tips and Tricks

A guide to finding and using streaming video for use in courses. Questions? Email LTS@nvcc.edu
Interactive Program Distillation

Author(s): Head, Andrew | Advisor(s): Hartmann, Bjorn; Hearst, Marti A | Abstract: From snippets to tutorials, programmers rely on sample programs to learn and get work done. The process of creating sample programs, however, can be demanding, limiting the dissemination of programming knowledge. To enhance this process, we introduce the concept of program distillation, methods for its implementation, and usability studies verifying its power. Program distillation is the tool-assisted transformation of existing programs into simpler ones, where key ideas are emphasized, and cruft has been removed.Three interactive tools are introduced for distilling code snippets, notebooks, and tutorials. Each tool contributes novel interactions grounded in proven program analysis techniques. CodeScoop helps programmers extract snippets from existing code through interactive program slicing and simplification. Code gathering tools let a programmer extract subsets of cells from a computational notebook that reproduce key results. And Torii provides a live programming experience for creating output-rich multi-step tutorials. Studies with users reveal that these tools satisfy important needs, support efficient sample program creation, and provide a level of expressiveness not yet available in today’s standard tools.
Integrated CCTV Surveillance System for Public Transportation

The urban center residential district Railway is one in every of the busiest railway stations in Bharat and carries over seven.5 million commuters daily. The railways spreads over 123.78 km (76.91 mi).The Railways encompass thirty-nine stations. Trains typically begin from and terminate at necessary stations. in line with a survey ,the total stats given by the RPF(Railway Police Force) &amp; GRP(GOVERNMENT RAILWAY POLICE), 2,700 railway commuters killed, over 1,400 whereas crossing tracks up until last and this variety has been increasing daily. This is creating railways a dangerous possibility for travel and transportation. The video closed-circuit television used is irving to be not useful and not updated. To overcome this drawback we tend to area unit creating associate integrated video closed-circuit television for detection of crimes and missed objects and explains during this paper.We area unit exploitation high resolution cameras which might focus and might be simply accustomed establish someone and can also be helpful in dark.
Aprendo en casa. Lecciones en el contexto de la emergencia sanitaria por COVID-19

The article deals with the actions carried out by local actors in the rural area of the Selva, in the Peruvian region of Loreto, in response to the COVID-19 pandemic. From this, it is proposed to learn some lessons that will help improve the responses and/or actions in other rural areas of the country, to which the virus is gradually reaching.
NOVOS HORIZONTES PARA AS BIBLIOTECAS: TENDÊNCIAS NA ADOÇÃO DE TECNOLOGIAS INOVADORAS

In order to achieve the mission of promoting access, encouraging the use of information, for the quality of teaching, research and extension, it is essential that the library incorporate and rethink its strategic planning.The NMC Horizon Report is a survey
LibGuides: So you want to know more about Serial Killers?: Family and Victim Accounts

Are you interested in true crime, but don't know where to start? Are you a serial killer aficionado interested in what your library has to offer? You've come to the right place! Hear from those who knew or survived the murderers.
Feature similarity measurement of cross-age face images based on a deep learning algorithm

In order to overcome the problem of low accuracy of traditional facial image feature similarity measurement methods, the paper proposes a new cross-age facial image feature similarity measurement method based on a deep learning algorithm. Face segmentation is performed based on eye coordinates to determine the effective area for face detection. This study introduces deep learning algorithms to build the basic architecture of deep learning networks, define network input as face image data containing age and identity tags in a cross-age database, and define output as face image features under constant age, and pass the foundation separately training and cross-age training complete the network training, and calculate the facial features under the same age. The cosine distance method is used to measure the similarity of face image features across ages. The experimental results show that the method has obtained more accurate measurement results in different age data sets, and the highest measurement accuracy is 97.9%.
PENINGKATAN KETERAMPILAN BERBICARA DENGAN MENGGUNAKAN MODEL KOOPERATIF TIPE THINK PAIR SHARE DI KELAS V SD NEGERI 13 KOTO BARU KECAMATAN KUBUNG KABUPATEN SOLOK

The background of this research is the low speaking skills of the fifth grade students of SD Negeri 13 Koto Baru. The purpose of this study is to describe the planning, implementation and improvement of speaking skills using the cooperative model think pair share in class V SD Negeri 13 Koto Baru Kecamatan Kubung Kabupaten Solok. The type of research used in this research is Classroom Action Research. The research was conducted at SD Negeri 13 Koto Baru Kecamatan Kubung Kabupaten Solok. The research was conducted in the second semester, namely May-June 2017, carried out in 2 cycles consisting of two meetings. Each cycle consists of 4 stages, namely planning, acting, observing, and reflecting. The subjects of this study were students of class V with a total of 12 students. The data collection tools used were observation guidelines, tests and documentation. The result of this research is that speaking skills using the cooperative model of the think pair share type have increased, especially in using the right choice of words, pronunciation, intonation, stress, and expression. In the first cycle of meeting I, the students' speaking skills were 60.7%, increasing in the first cycle of the second meeting to 67% with a completeness level of 41.7%. Likewise in the second cycle of meeting I students' speaking skills increased to 72.3% and meeting II became 80.1% with a completeness level of 83.3%. It is suggested that teachers should be able to apply learning speaking skills using the Think Pair Share type cooperative model.
LibGuides: Streaming Video: A Guide to Streaming Video Collections from NOVA Libraries: Overview

A guide to finding and using streaming video for use in courses. Questions? Email LTS@nvcc.edu
IMPACT OF CYBERCRIME ON SELECTED DEPOSIT MONEY BANKS (DMBs) IN THE FEDERAL CAPITAL TERTIARY (FCT)

Banking activities have become more complex with the introduction of Information and Communication Technology (ICT), which has changed the mode of bank crimes and fraudulent practices, therefore, this study is to examine the impact of cybercrimes on selected Deposit Money Banks (DMBs) in the Federal Capital Banks (FCT). The study used structured questionnaires and the population of the study is the staff and management of the selected Deposit Money Banks (DMBs) in the Federal Capital Banks (FCT). The sample size of the study was determined using population mean or average values with assumed Z corresponding value of 1 percent level of significance to be 2.58 and 0.56 as population standard deviation for a true value of the population mean. The study used the mean of descriptive analysis and Statistical Package for Social Science (SPSS) for the estimation of the mean values of the banking activities indicators which are Automated Teller Machine (ATM) usage by bank customers and online banking transactions by bank customers. The study revealed that cybercrimes have a negative impact on online banking transactions and Automated Teller Machine (ATM) usage by bank customers in Federal Capital Tertiary (FCT). The study also found that there is a high level of banking cybercrime activities in the (FCT), banks online protocols against banking cybercrime activities in (FCT) is adequate, fight against banking cybercrimes in the FCT by the related agencies is below expectation, poor financial literacy and low knowledge of internet operation are the major causes of banking cybercrimes and the awareness creation on banking cybercrimes by all the related agencies are adequate. Therefore, the study recommended that there should be more awareness creation on banking cybercrimes by all the related agencies to reduce the rate of online banking transactions and Automated Teller Machine (ATM) cybercrimes in the Federal Capital Tertiary (FCT).
Analysis and modelling of CMOS Gm-C filters through machine learning

Utilization of machine learning in electronics and in computer-aided design is in progress, giving an opportunity the electronic circuits to be studied in a new way that also contributes to automation of some engineering tasks. In this paper, a novel methodology for analysis and design of Gm-C filters is presented. It is based on applying classification machine learning algorithm Random Forest on theoretically gathered data sets and on published scientific results. The tree-based algorithm is chosen, because of its capability not only to identify the correct class for every training sample and to point out the decision, but also to give explanation related to this decision and to outline a set of rules. The proposed methodology is verified through creation of several data models. Gm-C filters are chosen for exploration because of their extensive usage in computer and communication systems, medical devices and sensors.
Entornos virtuales como estrategia de enseñanza-aprendizaje en la educación superior: caso ULEAM, extensión Bahía de Caráquez

Higher education in the global context has suffered the suspension of its face-to-face classes due to the COVID-19 pandemic. Such situation has led teachers and students to face the challenges presented by the new modalities of virtual environments as teaching-learning strategies. Ecuador's higher education institutions have adapted their curricular offer by using technological platforms. The objective of this research was to analyze the application of the tools: Microsoft Teams and ZOOM, in virtual environments at the Laica Eloy Alfaro University in Manabi, Bahia de Caraquez Extension. For this reason, it was necessary to collect information through surveys directed at 224 students and 22 teachers. Participants received a questionnaire via Google Form, consisting of seven questions with five alternatives, on a Likert scale, that sought to measure satisfaction in virtual environments due to the pandemic. 44.3% of the students responded feeling moderately satisfied with receiving classes, while 40.9% of the teachers responded feeling very satisfied to teach them through virtual environments. Regarding adaptation to virtual environments, student results were 36.6% moderately satisfied and 59.1% teachers very satisfied. It is concluded that 37.5% of the students feel very satisfied with the use of Microsoft Teams. However, 45.5% of the teachers stated that they were very satisfied with the use of Zoom.Keywords: Virtual environments; higher education; teaching; learning; pandemic.
Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model

Online petitions offer a mechanism for peopleto initiate a request for change and gather sup-port from others to demonstrate support for thecause. In this work, we model the task of peti-tion popularity using both text and image rep-resentations across four different languages,and including petition metadata. We evaluateour proposed approach using a dataset of 75kpetitions from Avaaz.org, and find strong com-plementarity between text and images.
Diffractive optical neural networks

We introduce a diffractive optical neural network architecture that can all-optically implement various functions, following the deep learning-based design of passive layers that work collectively. We created 3D-printed diffractive networks that implement all-optical classification of images of handwritten digits and fashion products as well as the function of an imaging lens, spectral filters, wavelength demultiplexers and ultra-short pulse shapers at terahertz part of the spectrum. This passive diffractive network framework is broadly applicable to different parts of the electromagnetic spectrum, including the visible wavelengths, and can perform at the speed of light various complex functions that computer-based neural networks can implement, and will find applications in all-optical image analysis, feature detection and object classification, also enabling new camera designs and optical components that perform unique tasks using diffractive networks designed by deep learning.
Neuromorphic Imaging: Fully Light‐Controlled Memory and Neuromorphic Computation in Layered Black Phosphorus (Adv. Mater. 10/2021)

An all-optically tunable neuromorphic imaging element based on black phosphorus (BP) is demonstrated by Taimur Ahmed, Sumeet Walia, and co-workers in article number 2004207. The unusual wavelength-dependent photocurrent in BP is harnessed to optically program and erase visual memory elements. Concurrently, the same elements are capable of in-pixel image preprocessing in an imaging array and optoelectronic machine learning for pattern classification and image recognition through deploying artificial neural networks.
Verifying tree ensembles by reasoning about potential instances

Imagine being able to ask questions to a black box model such as Which adversarial examples exist?, Does a specific attribute have a disproportionate effect on the model's prediction? or What kind of predictions could possibly be made for a partially described example? This last question is particularly important if your partial description does not correspond to any observed example in your data, as it provides insight into how the model will extrapolate to unseen data. These capabilities would be extremely helpful as they would allow a user to better understand the model's behavior, particularly as it relates to issues such as robustness, fairness, and bias. In this paper, we propose such an approach for an ensemble of trees. Since, in general, this task is intractable we present a strategy that (1) can prune part of the input space given the question asked to simplify the problem; and (2) follows a divide and conquer approach that is incremental and can always return some answers and indicates which parts of the input domains are still uncertain. The usefulness of our approach is shown on a diverse set of use cases.
СПЕЦИФІКА ДІАГНОСТИЧНИХ МЕТОДИК ВИЯВЛЕННЯ ЕМОЦІЙНОГО ВИГОРАННЯ МАЙБУТНІХ ВИКЛАДАЧІВ МИСТЕЦЬКИХ ДИСЦИПЛІН

The article considers the specifics of diagnostic methods for identifying the degree of emotional burnout of future teachers of art disciplines. Emphasis is placed on the urgency of the problem of social and psychological and pedagogical significance of the quality of professional training of teachers of art disciplines, in particular their preparation for the impact of stress in future professional activities. The factors of professional stress that lead to emotional burnout, the consequences of professional burnout and depletion of teachers' resources are identified. Modern methods of diagnosing emotional burnout are analyzed. Key words: diagnostic technique, burnout, emotional burnout, professional burnout, teacher of art disciplines.