Reviewerly/exHarmony huggingface dataset:
예비창업자의 마인드셋이 그릿, 자기효능감, 창업의도에 미치는 영향

Purpose: In order for the founder to endure the adversity that occurred after the start-up and grow, it is necessary to take a closer look at the factors affecting the entrepreneurial intention. This study analyzed the effect of the hardship index on mindset, grit, self-efficacy and entrepreneurship intention to explore the psychological elements to support and motivate pre-business readers’ decision to start the enterprise.Research design, data, and methodology: To achieve the goal of the research, we derived the research model and hypotheses based on the theoretical background; then we executed empirical research by conducting survey on the employees interested in the start-up. The data were collected from 300 office workers across the country to set up pre-business readers interested in starting a business as a population and to secure a representative sample overall. The proposed hypotheses and research model were verified by the structural equation model in Amos.Results: The summary of the empirical research is summarized as below. First, pre-business readers’ hardship index displayed multi-dimensional characteristic that consists fixed mindset and growth mindset. Second, fixed mindset of pre-business readers had a negative on their self-efficacy, while growth mindset of pre-business readers had a positive effect on their self-efficacy. Third, pre-business readers’ grit had a positive effect on their entrepreneurship intention. Fourth, pre-business readers’ self-efficacy had a positive effect on their entrepreneurship intention.Conclusions: Since the influence of the fixed mindset and the growth mindset on the self-efficacy is different, and the growth mindset plays a role in reinforcing self-efficacy, the development of an educational program that can promote the growth mindset of pre-business readers is required. These results suggest that pre-business readers'' grit and self-efficacy play an important role in facilitating their entrepreneurial intention and that to promote pre-business readers'' grit and self-efficacy, their growth mindset must be improved.
Self-supervised Contrastive Zero to Few-shot Learning from Small, Long-tailed Text data

For natural language processing (NLP) ‘text-to-text’ tasks, prevailing approaches heavily rely on pretraining large self-supervised models on massive external datasources. However, this methodology is being critiqued for: exceptional compute and pretraining data requirements; diminishing returns on both large and small datasets; and importantly, favourable evaluation settings that overestimate performance differences. The core belief behind current methodology, coined 'the bitter lesson' by R. Sutton, is that 'compute scale-up beats data and compute-efficient algorithms', neglecting that progress in compute hardware scale-up is based almost entirely on the miniaturisation of resource consumption. We thus approach pretraining from a miniaturisation perspective, such as not to require massive external data sources and models, or learned translations from continuous input embeddings to discrete labels. To minimise overly favourable evaluation, we examine learning on a long-tailed, low-resource, multi-label text classification dataset with noisy, highly sparse labels and many rare concepts. To this end, we propose a novel 'dataset-internal' contrastive autoencoding approach to self-supervised pretraining and demonstrate marked improvements in zero-shot, few-shot and solely supervised learning performance; even under an unfavorable low-resource scenario, and without defaulting to large-scale external datasets for self-supervision. We also find empirical evidence that zero and few-shot learning markedly benefit from adding more 'dataset-internal', self-supervised training signals, which is of practical importance when retrieving or computing on large external sources of such signals is infeasible.
Developing E – Learning Worksheet Based Information Technology For English Learning

This article to develop E-Learning worksheets for Tenth Grade English Learning at Vocational High School 1 Ma'arif Metro.  The type of research used is research development or Research and Development (R & D). The development model used in the research of this model is the model of Dick and Carey. The  result show thatthe material expert validation show that out of 10 aspects of validation, there are 8 aspects of obtaining a score of 4 while 2 aspects get a score of 3. The total score is 38 with a maximum score of 50. aspect is 3.8 with a percentage of 76%. Therefore the material contained in the media products produced is included in the criteria of good or feasible, in appendix 4. The results of media expert validation show that from 14 aspects of validation, there are 12 aspects obtaining a score of 5 while 2 aspects get a score of 4. The result of Student Validation shows that the total value obtained by students Pretest results is 1,013 with an average score of 67.5 students, the number of students reaching KKM is 10 students or 66.66% in appendix.  Therefore the appearance of the media contained in the media products produced is included in the criteria of very good or very feasible. Key words : E – Learning Workhseet, Slide Master, Developing E - Learning
LibGuides: Library Services 2021: Getting Books and Articles through Interlibrary Loan (ILL)

This is a guide about CCSU library services for 2021, including information about hours & services available for students, faculty, and guests, both in-person at the Elihu Burritt & via the web.
Sanskrit – A Source of Computer Technology

Sanskrit, an ancient language known as ‘Deva Bhasha’, ‘Veda Bhasha’ and ‘Janani Bhasha’ is proved to be the language of computer technology. It is also observed that Sanskrit has proved its prominent position in the millennial world. The roots of Sanskrit have spread widely in many areas including technological aspect.  Programming languages like, Pascal, FORTRAN, COBOL, C, C++ and JAVA are evaluated from the same. Various techniques used from ‘Market to Rocket Science’ evolve around Sanskrit. Science, Mathematics, Astronomy, Astrology, AI (Artificial Intelligence) and Robot Science etc. are derived from ‘MaheshwaraSutrams’ of Sanskrit. It is a moment of pride to recollect that Zero and Binary system which were considered as great accomplishments are invented in Sanskrit initially, but a thousand years before the west re-invented them.The present generation is trying to understand its value at its best. This research paper focuses on the various aspects of technology evaluated from Sanskrit by using quantitative methodology.
Comparison of the Efficiency of Robust Solvers for Automated Prediction of Geological and Geophysical Parameters

Summary There is often a need to predict the values of certain parameters based on a limited set of values of the observed feature from a certain local neighborhood in geological modeling. There are optimal solutions for various special cases, for example, for the case of a priori established spatial stationarity of the studied value, but in the General case, as a rule, there are a number of complicating factors that do not allow us to talk about the presence of any one optimal solution. These factors include: • extremely small sample size • presence of outliers in the source data • errors associated with measurement errors and rounding errors • complex multi-modal distribution of values • spatial non-stationary distribution of values (non-stationary mean, variance, distribution law) • possible heteroscedasticity of the distribution (proportionality of variance growth with average growth), including local • the presence of smooth gradations and abrupt changes in the spatial distribution of the values of the studied quantity The presence of such restrictions makes traditional methods of classical parametric statistics inapplicable, the use of a geostatistical approach, and even calls into question the applicability of some nonparametric methods. This article offers an analysis of possible approaches to forecasting geological and geophysical parameters, taking into account all the problems and limitations discussed above.
Bitcoin: Order without law in the digital age

Modern law makes currency a creature of the state and ultimately the value of its currency depends on the public’s trust in that state. While some nations are more capable than others at instilling public trust in the stability of their monetary institutions, it is nonetheless impossible for any legal system to make the precommitments necessary to completely isolate the governance of its money supply from political pressure. This proposition is true not only today, where nearly all government institutions manage their money supply in the form of central banking, but also true of past private banking regimes circulating their notes under the shadow of public law. However, Bitcoin represents a potential third currency regime far more resistant to state control, because it is minted in no physical place, operates under encryption, and places a numerical ceiling on the number that can be created. The trust required is not in any government but in the decentralized order of those who verify Bitcoin transactions.This Article explores the fundamental structure of Bitcoin, first by demystifying it as a technology, and second by showing how its decentralized order contrasts with currency regimes. Unlike governments that use power of law to compel action, Bitcoin relies on a system of built-in incentives to encourage behavior that benefits not only those seeking to use Bitcoin, but also Bitcoin miners — those who voluntarily undertake the task of maintaining the payment network. The qualities of this system may give Bitcoin a long-term advantage over other currencies. As the Bitcoin ecosystem continues to grow, its non-legal order can help it climb the rungs of stability created by distrust in government. Bitcoin is already less volatile than some currencies and is starting to approximate gold in this respect. The technology underpinning Bitcoin is the next point of innovation in the digital age — the same era that has already seen software create institutional disruption from Amazon, Facebook, and Uber among many others. As Bitcoin gains in popularity it offers a platform for other kinds of technological alternatives to traditional legal regimes, like smart contracts. Bitcoin’s order without currency law will facilitate other forms of order with less law.
IMPROVING STUDENTS’ READING COMPREHENSION IN RECOUNT TEXT THROUGH KWL STRATEGY OF VIII GRADE AT SMP N 8 TOLITOLI

The objective of this research is to find out whether kwl strategy can improve students’ reading comprehension or not.. This research is pre experimental research design consist of one group pre-test and post-test. The Population of this research is the eighth grade of SMPN 8 Tolitoli in 2016/2017 academic year. The sample of this research is selected by using purposive sampling technique and the selected class is VIIib consisted of 17 students. In collecting the data, the researcher took from the result of pre-test and post-test. The researcher analized the data  statically.The result of the test showed that the students’ mean score in posttest 84.35is higher than pretest 61,18. To know the significant difference between pretest and posttest, the researcher compared the value of t-counted and t-table by applying 0.05 level of significance for two-tailed test with 16 degree of freedom (17-1=16), the researcher found that the t c o unted (13,24) is higher than t table (2,120) and the hypothesis of this research is accepted.The researcher concluded that applicationkwl strategy can improve students’ reading comprehension in recount text of eight grade at SMP N 8 Tolitoli. Key words: improving reading comprehension , and kwl strategy .
On the Differentation of Texts by L1 and L2 Learners

Based on data of 90 pieces of writings from two corpora WECCL and LOCNESS, the paper makes a study of the differentiation of texts by L1 and L2 learners in respect of lexical complexity.The tools used to process the data include AntConc, SPSS 19, the Web-based Lexical complexity analyzer -Single Mode etc.The findings of the research are as follows: first, there are significant underuses of modifiers and adverbs in L2 learners' writings; second, there are more sophisticated words such as verbs, nouns, adjectives, adverbs, and modifiers in the L1 learners' writings than in the L2 learners' writings.Finally, some pedagogical suggestions are raised to enhance the L2 writing instruction.For instance, first, the L2 instructors should arouse the learners' attention to the differences between the learners' mother language and L2, to eradicate with efforts the negative transfer of the mother language of the L2 learner; second, the instructors should implant in the students more knowledge on English stylistics, by making clear difference between oral style and written style; third, the instructors should compile more updated English text books with authentic
Sistem Informasi Penyedia Aplikasi Kampus Amik Tunas Bangsa Pematangsiantar

Abstract − The use of applications in higher education can improve student skills in doing practice and help students and campuses to carry out learning and teaching activities. When students download applications on the website, they often fail because there are various advertisements that appear before students download the applications they need. This Application Provider Information System was developed using several software, namely Adobe Dreamwaver CS6 and Mysql as a database. Thus, it is hoped that this system will be able to solve existing problems in order to help students download and install applications when they are doing practicum or doing their practicum assignments. Keywords : Application Providers, Information Systems, Adobe Dreamweaver CS6, Mysql
LibGuides: Revision and Exams: Online exams

Boost your exam revision and explore strategies for essay exams, online tests and MCQs with our online study guide and resources.
Pengaruh Model Reading Concept Connection Discussion Evaluation (RCCDE) terhadap Berpikir Kritis

The effect of model the Reading Concept Connection Discussion Evaluation (RCCDE) on critical thinking on water pollution material aims to determine the increase in critical thinking. Kind of research is a quasi experiment. Researchers in take samples using a purposive sampling technique with respondents in two classes. Data analysis using Anova. The total same of students is 22 in the experimental class using RCCDE and the control class using conventional methods. Based on the results of the analysis, it's can be concluded that there is an influence of the RCCDE model, on increasing critical thinking on Water Pollution material. Can be seen from the ANOVA test results obtained sig. 0,000 &lt;0.05 (&lt;0.050). Then, Ha is accepted. Based on these results, it be concluded that the use of the RCCDE model can improve critical thinking.
Μηχανική μάθηση σε κβαντικούς υπολογιστές

We investigated the connection between machine learning and quantum computing, in order to solve binary classification problems with supervised quantum machine learning. In the basic concept of this Thesis we implemented a quantum algorithm, inspired by the kernel methods. For the applications we used the simulation of a quantum computer qasm-simulator and the real quantum computer ibm-5-yorktown that IBM provides. The simulation results it was satisfactory providing greate accuracy . In contrast, results from the real quantum computer shows significant differences from the simulation.
Research Guides: Library E-Reserve Faculty Guide: Copyright

Step-by-step instructions for how to set-up and add online readings for your course. Information on copyright and course readings
THE IMPORTANCE OF TECHNOLOGICAL EDUCATION AND INTEGRATION OF OTHER SUBJECTS IN IMPROVING THE QUALITY OF EDUCATION

The article exposes the interdisciplinary integration of technology education and other interdisciplinary integration aimed at improving the quality of education currently through concrete examples of modern didactics of student learning.
Cryptocurrencies: A Survey on Acceptance, Governance and Market Dynamics

This paper briefly overviews several challenging dimensions pertaining to cryptocurrencies with respect to their valuation, legitimacy, design, consensual acceptance and market-based stylized facts with a view to understanding whether this new asset class indeed has the potential to become an alternative, or a replacement, to traditional fiat currencies. Our survey indicates that public embrace of cryptocurrencies continues to lag as the masses continue to show reluctance in embracing cryptocurrencies as a complement, let alone a substitute to fiat counterparts. Governments have also successfully defended their sovereignty in preserving legal tender status, structural seigniorage, and exclusivity. Market-based studies hint at consistent inefficiencies across the spectrum. Furthermore, whether fundamental and mining factors determine cryptocurrencies’ values remain unsettled. The most promising areas of research for crypto-financial intelligentsia would be delving into establishing trial runs for central bank backed cryptocurrencies. In addition, we highlight that several methodological and data-based obstacles remain in assessing the link between cryptocurrencies and their traditional rivals. This avenue remains a fertile ground for potential future research.
LibGuides: HACC Testing: Testing Home

HACC's Testing Center serves students, faculty, and community members by providing a secure and confidential testing environment for academic, personal, and career advancement.
Do mistakes, visual elements, and recommendation explanation affect chatbot usability? A pilot study

Conversations 2020: 4th International workshop on Chatbot Research (Amsterdam, the Netherlands, Nov 23-24, 2020)
Enhanced Data Security for Hybrid Encryption and Compression using Deduplication

Distributed computing is an arising innovation that gives the information capacity administration and application getting to support in on the web. It has a few preferences and special attributes, for example, request self-administration, expansive network access, asset pooling, quick flexibility and estimated administration. It handles enormous information in powerful climate with simple method of information access and more significant level of security with protection. The proposed strategy is to stay away from information duplication over distributed storage and give security. The information deduplication strategy is utilized to diminish the capacity measure and improve the capacity execution. Here intelligent Message Locked Encryption and Convergent Encryption calculation are utilized. The proposed framework client data is scrambled and re-encoded once more. The capacity space can be decreased with assistance of square level deduplication strategy. The cipher text is scrambled as same as the indistinguishable pieces. The security examination is contrasted and person calculation and half and half calculation. Consequently this proposition demonstrates that the proposed calculation produce the better outcome contrasted with the current calculations.
Financial Innovation, Economic Growth, and the Consequences of Macroprudential Policies

We leverage a ‘catch-all’ measure of financial innovation – research and development spending in the financial sector – to assess the net relationship between financial innovation and economic growth and evaluate the influence of macroprudential policy on this relationship. Using a panel of 23 countries over the period of 1996-2014, our results demonstrate a net-positive relationship between financial innovation and gross capital formation. We find no evidence of a net-negative impact of financial innovation on economic growth, challenging the popular and political stigma surrounding financial innovation. We also find little robust evidence of macroprudential policy influencing the relationship between financial innovation and economic growth. Our results support a functional approach to the regulation of financial innovation, which improves the intermediation process, leading to increased capital formation.
Mobile Robot Path Planning Based on Genetic Algorithm and Immune Genetic Algorithm

Based on the Genetic Algorithm (GA) and Immune Genetic Algorithm (IGA), this paper discusses the mobile robot path planning with different velocity constraints. If the cost function for the optimal robotic path planning is defined as the distance travelled by a robot, the optimal solution thus means the shortest path. However, in some cases, a mobile robot may move in different velocities due to the different terrain conditions. Under such cases, the shortest path will not necessarily represent the shortest time. GA and IGA are utilized to solve the optimal robotic path planning issue considering obstacle avoidance and velocity constraints. Four different terrain conditions are applied in this study, and four different moving velocities are assumed, respectively. Simulation results indicate that both GA and IGA will work effectively and efficiently to get the optimal path for a robotic navigation. Between them, IGA can get the optimal results with fewer iterations.
Interactive Content Development for First Aid and Home Treatment e-Book

First Aid and Home Treatment Interactive e-Book" is a novel interactive e-book that can be viewed by the public who are frequently carry out their activities at home area.It consists of four modules of common accidents that will occur at home area, which are ankle sprain, hot water burn, animal bites and infant choking.Due to the lack of first aid knowledge in some people and less attraction on conventional approach in giving first aid information such as books, flyers and videos, this interactive e-book helps the reader to learn some basic knowledge on first aid to treat the most frequent basic medical problems.The objectives of this project are to identify the common injuries and the first aid knowledge for the treatment of the injuries, in addition to integrate the basic first aid knowledge and finally, to develop an interactive book that give understanding to the readers about the first aid and home treatment.Furthermore, the project aims to evaluate the acceptance of the interactive book for first aid and home treatment with the medical practitioners and other target users.The methodology of this project consists of five phases which are analysis, design, development, implementation and evaluation.It is envisaged that the interactive e-book are attractive, easy to understand and enable the users to apply the treatment to the real situation.
Mengukur kesuksesan website Rumah Sakit Darmo Surabaya menggunakan model Delone dan Mclean

Websites is important for services industries, such as hopitals, because it help to deliver the information of services provided by the hospitals to their customers. However, Rumah Sakit Darmo Surabaya has not measure the performance of its website yet. Several studies related to measuring the success of information systems in hospitals use the Delone and McLean model as a measuring tool. Those researchs have a vary results. Therefore, the purpose of this study is to assess the performance of the Rumah Sakit Darmo Surabaya website and to understand the factors that influence it by adapting Delone and McLean success model. Respondents of this researh are 130 website visitors. The data obtained through questionnaires were processed using Structural Equation Modeling (SEM) analysis. Out of nine hypotheses proposed, only three can be accepted. This research prove that system quality and service quality affect user satisfaction and that usage affects net benefits.