Reviewerly/exHarmony huggingface dataset:
인터넷전문은행의 고객 충성도에 미치는 영향 요인

PurposeInternet only bank is one of the promising untact businesses which are rising in COVID-19 pandemic. Kakaobank and Kbank have been offering banking services since 2017 in Korea and WeBank and MYbank in China opened the services since 2015. It is necessary to examining determinants of customer loyalty beyond intention to use. The purpose of the present study is to analyze factors influencing customer loyalty and their determinants. A research model integrating the relationships among customer loyalty, service satisfaction, trust, and social influence, and their determinants was proposed.Design/methodology/approachStructural equation modelling for validating the research model was employed. 235 valid data were collected from users of Internet only bank in China. Nine latent variables grouped from 38 indicators were reliable and valid and nine hypotheses were tested by using SmartPLS.FindingsAll nine hypotheses were supported at significant levels of 0.001 and 0.01. Trust, service satisfaction, and social influence had influenced on customer loyalty. Trust not only affected customer loyalty directly, but also had influence on it indirectly through service satisfaction. Empathy and convenience are determinants of trust. Perceived expertise and dispositions believing acquaints had a positive influence on social influence, whereas users’ anxiety for technology or change had a negative influence on social influence. Implications for academics and practitioners were suggested.
A* Beam Search

Decoding for many NLP tasks requires an effective heuristic algorithm for approximating exact search since the problem of searching the full output space is often intractable, or impractical in many settings. The default algorithm for this job is beam search--a pruned version of breadth-first search. Quite surprisingly, beam search often returns better results than exact inference due to beneficial search bias for NLP tasks. In this work, we show that the standard implementation of beam search can be made up to 10x faster in practice. Our method assumes that the scoring function is monotonic in the sequence length, which allows us to safely prune hypotheses that cannot be in the final set of hypotheses early on. We devise effective monotonic approximations to popular nonmonontic scoring functions, including length normalization and mutual information decoding. Lastly, we propose a memory-reduced variant of Best-First Beam Search, which has a similar beneficial search bias in terms of downstream performance, but runs in a fraction of the time.
Deep learning at the edge: automatic modulation classification on real world signals

In this paper, we present an end-to-end pipeline for deep learning applied to Automatic Modulation Classification (AMC). We begin by utilizing Modulation Classification Network (MCNET), a recently published cost-efficient convolutional neural network (CNN) with skip connections. Model efficacy is confirmed and the algorithm is advanced with hyper parameter and regularization adjustments, transfer learned with an augmented over-the-air data set, and then a computationally superior version is deployed to an edge device. The model is initially trained with the well-known 2018 DEEPSIG data set that includes 24 modulation schemes. Transfer learning utilizes the Experiments, Scenarios, Concept of Operations, and Prototype Engineering (ESCAPE) data set. The edge node device utilized, but is not limited to, an NVIDIA Jetson AGX XAVIER. Under ideal conditions, classification at the edge node resulted in 96% accuracy with 11 over-the-air modulation schemes. Inferences at the edge were up to 13 times faster than the non-optimized model.
Bayesian inverse regression for supervised dimension reduction with small datasets

We consider supervised dimension reduction problems, namely to identify a low dimensional projection of the predictors x which can retain the statistical relationship between x and the response variable y. We follow the idea of the sliced inverse regression (SIR) and the sliced average variance estimation (SAVE) type of methods, which is to use the statistical information of the conditional distribution π(x|y) to identify the dimension reduction (DR) space. In particular we focus on the task of computing this conditional distribution without slicing the data. We propose a Bayesian framework to compute the conditional distribution where the likelihood function is constructed using the Gaussian process regression model. The conditional distribution π(x|y) can then be computed directly via Monte Carlo sampling. We then can perform DR by considering certain moment functions (e.g. the first or the second moment) of the samples of the posterior distribution. With numerical examples, we demonstrate that the proposed method is especially effective for small data problems.
Macroscopic stability of cluster states under local transformations

Abstract We prove that all macroscopic properties of the N -qubit cluster state are asymptotically invariant under local transformations in the limit N ≫ 1, and can be described by a distribution function similar to that of the completely mixed state.
THE STUDENTS’ FREE WRITING TOWARD ICT AS MEDIA IN ENGLISH LEARNING ON MIDWIFERY STUDENTS OF STIKES PEMBINA

The objective of this research was to find out the description of The students’ free writing toward ICT as media in English learning on midwifery students of STIKES Pembina. The sample of this research was taken by using totaling sampling technique with 36 midwifery students from STIKES Pembina, that consist of 13 students from 2nd semester students and 23 students from 4th semester. The data was obtained based on every meeting during online learning, that was from the third meeting to the seventh meeting that consists of 5 days for obtaining the data. Then from the data analysis, it’s obtained that there was the good improvement response by writing English related to the material since the frist day to the fifith day that was 63% of students response to the 95% students response in the last day. During the implementation of online learning by using ICT (whatssapp group and edlink) the obstacle raised on students. Many factor that made the students can’t join the class and response. One of the factor was the access on internet in their hometown. Even had the obstacle the use of ICT can be good choice in conducting the teaching and learning EFL proces of midwifery students of STIKES Pembina Palembang Keywords : f ree w riting and ICT .
LibGuides: Your Guide to OU Libraries: Glossary

New to OU? Never used OU Libraries before? This guide will introduce you to must-have resources and services to help get you started. Definitions for common library terms.
PKM (Pengabdian Kepada Masyarakat) Penyuluhan Tentang Pemanfaatan Pakaian Bekas Menjadi Produk Baru (Lenan Rumah Tangga) Di Panti Asuhan Al Manar Desa UjunggurapKecamatan Batunadua Kota Padangsidimpuan Sumatera Utara

Exploring potential and seeking opportunities, especially from the economic sector and creative industry must be done by upgrading capabilities and skills, to be managed again. One of them is the use of used clothes into new products, which will be carried out in this mentoring process. With the aim that the community is able to find and process used clothes that are owned into new products that have new benefits and are of sale value. The learning method used is two-way communication (instructors and participants) by doing demonstrations, practice and evaluation. The teaching materials used are handouts and presentation media (PPT), leaflets, LCD, In focus, sound system. Meanwhile, the tools and materials used are used t-shirts, scissors, and hand needles and sewing threads. The result of this activity is the enthusiasm of the students / participants in managing used clothes by seeing the results of practice based on their respective ideas. With the results of the product and the positive response from this activity, it was seen that the students / participants were interested in re-developing products from used clothes with follow-up meetings / activities.
Chisholm’s Modal Paradox: Two Approaches Examined

This paper is organized in the following way: the first section puts forward the version of Chisholm’s Modal Paradox that is going to be taken into consideration. The presentation of the paradox is followed by two sections where two invalidating strategies (as I call them) are presented; the second section presents Forbes’ strategy for dealing with the paradox. As part of the second section, it is presented Forbes’ many-valued semantics for modal logic. The third section is a presentation of Salmon’s strategy to solve the paradox. The fourth and last section is reserved for critical comments concerning both approaches. Those comments are to be understood as motivations against each strategy not as definitive refutation of either of them. I finish the paper concluding that Salmon’s strategy seems to be the most conservative invalidating strategy.
LSC-North Harris Library Research Guides: Library Online Learning Modules: How to Install

This guide is to serve as a menu of instruction modules to meet the information literacy needs LSC-NH online classes. Each module can be embedded into D2L, and takes 5-10 minutes to complete.
The Meaning of Factors

Factor analysis is quite regularly seen in HCI to validate questionnaires, particularly those used to measure user experience. This chapter describes and illustrates the process of developing a questionnaire to measure a particular concept, starting from item generation through to factor analysis and interpretation. It introduces bifactor analysis as a more recent development in factor analysis that could help the interpretation of questionnaires made up of multiple factors.
Σχεδιασμός αναλογικοψηφιακού μετατροπέα των 8 bit στο πεδίο του χρόνου

The subject of the following Master’s Thesis is the design and the implementation of an 8-bit Time-Based ADC, which uses a Linear Current-to time Converter (Linear CTC) as a Voltage-to-Time Converter (VTC), and a digital circuit based on the principal of operation of a conventional SAR ADC as a Time-to-Digital Converter (TDC). First, there is an introduction to the basic operating principles of an ADC, as well as to the parameters which define its operation. Also, a brief reference is made to the ideal model of a conventional SAR ADC, as it is the basis of the TDC function which will be used for the implementation of the proposed Time-Based ADC. Additionally, there is a presentation and description of the circuits which will have the role of the Voltage-to-Time Converters (VTC). These circuits are the Current-Starved Inverter and a Linear Current-to time Converter (Linear CTC). Then, the Time-Based ADC is implemented, on which these circuits are based and its operating principle is described. Next, the topology of a Time-Based ADC is presented, which has a Binary-Weighted Current Mirror as a DAC. Finally, there is the presentation of the simulations of the dynamic parameters of all the above mentioned Time-Based ADC. The circuits that were presented have been designed and simulated using the Candence’s TSMC 65nm technology.
Appunti bibliografici sulla storia dell’insegnamento delle lingue straniere nell’Università italiana

In the recent development of linguistic historiography, the interest in foreign and second languages has developed considerably as regards the materials used to describe and learn/teach them, such as dictionaries, grammars, textbooks and other resources that have spread throughout Europe since the Renaissance. The nationalization of public education in Italy since the Unity represented an important turning point for their study, in the entire school system in the first place, and then in the universities, in which they made their way between literary and philological teachings up to the seventies of the last century, when linguistic teachings began to strengthen themselves through the creation of first and second level university chairs all over the country. The bibliography presented and commented in this study reflects these different issues and, in particular, the strong attempt made by linguists at the end of the last century to adapt university language teachings to the identity of the different faculties and the new methods of teaching.
Public Partnership Program (PKM) SMP Muhammadiyah 4 Porong Sub-district Porong, District Sidoarjo, East Java

SMP Muhammadiyah 4 Porong is one of the Muhammadiyah universities under the guidance of PCM Porong, which is located at Jl. Raya Lajuk, Dusun Pojok, Lajuk, Kec. Porong, Sidoarjo Regency, East Java 61274, is the first stepping educational institution to occupy a building within the Muhammadiyah Porong College, founded in 1966, which was originally located in the mindi sub-district, kecamatan. Porng, is a school relocation as a result of the impact of the Lapindo mudflow and until now, there are 54 students aged 12 to 15 years consisting of 3 classes, namely grades VII, VIII and IX. It has 14 teachers, consisting of 1 person as the principal and concurrently as a teacher and supported by 4 education personnel. So that the problems faced by these schools are the absence of communication media that can provide information related to the learning process, academics, student achievement and two-way communication with student guardians, teachers and schools. This aims to improve communication between teachers, guardians of students, schools and the general public. So that with the existing problems, a solution is needed so that the learning process will be achieved. So that the solution offered is to create the concept of student participation in building imagery by providing a means of actualization by building and utilizing the web as a communication medium, print and sms geetway managers, Internet Marketing training and mentoring and news coverage and writing training, so that with the solutions offered, SMP Muhammadiyah 4 Porong Sidoarjo, will be able to build self-image and communicate actual information in schools, in order to build synergy between students, parents, teachers and schools as well as the wider community.
Application of Grey System Theory and Entropy Weight Method in Basketball League Matches

The basketball league issue has always been a concern, and the predictions for each team's next game have also attracted the attention of the audience. Now more and more fans have begun to predict the future of the favorite team. By analyzing the score data of some teams in the past, this paper obtains the appropriate prediction function by constructing the grey system theory model, and then predicts the future performance of the team. At the same time, using the idea of entropy weight method, through the measurement of the weight of each team in a basketball game, and using the idea of combining numbers and figures, the level of each team is qualitatively analyzed through the weight map.
Third Eye: A Smart Assistant for Visually Impaired using Deep Learning

Globally, one billion people have a vision impairment resulting in them unable to live a normal life. This project aims to develop a technological solution effectively enabling the visually impaired to identify text and objects in front of them. This Third Eye based on Raspberry Pi uses Deep Learning (DL) which tends to support in identifying the objects and faces that helps in orientation and navigation of these people in the unknown surrounding. It can also recognize text or any readable data and recite using earphones or speakers. The system will perform voice recognition from the user, when the user states object mode the camera is initiated enabling live streaming and a bounding box is applied to the object from which the distance and direction are calculated, then a voice note is given stating the name of the object, distance, and direction. If a face is detected, then it recognizes the face using the Detection Transformer (DETR) algorithm and then says the name of the person detected. When the user states text mode, the camera is initiated enabling live streaming and the text is captured and a voice is given stating the text. Thus, providing an effective technological solution for the blind to effectively identify objects and text in front of them. The proposed system which is fully voice-controlled uses the Raspberry Pi as a controller. The smart assistant is user-friendly and has a quick response which ensures real-time object detection for the visually impaired.
Classroom Learning Environment and Self-Efficacy in Mathematics of Freshmen Engineering Students of the University of Eastern Philippines

Aims: To determine the classroom learning environment in terms of goal orientation, physical facilities, student-student interaction, teacher-student interaction, method of teaching, and the degree of self-efficacy in mathematics; and establish if there is a significant relationship between their classroom environment and the degree of self-efficacy in mathematics. &#x0D; Study Design: Descriptive correlational research design. &#x0D; Place and Duration of Study: College of Engineering, University of Eastern Philippines, Catarman, Northern Samar in the school year 2012-2013.&#x0D; Methodology: Complete enumeration of 260 freshmen students from the College of Engineering courses: Bachelors of Science in Agricultural Engineering, Civil Engineering, Electrical Engineering, and Mechanical Engineering enrolled in Mathematics were surveyed using the 50-item Learning Environment Schedule developed by Sunitha and Mathematics Self-efficacy Survey developed by Betz and Hackett. The data gathered were tabulated, analyzed, and treated statistically using the Statistical Package for Social Sciences (SPSS 16.0 Version).&#x0D; Results: With the total score of 50594 out of 65000 and a mean of 3.89, the respondents found the classroom learning environment in terms of goal; orientation, physical facilities, student-student interaction, teacher-student interaction, and methods of teaching to be favorable; that the total score of 17634 and a mean of 3.61 showed that respondents had much confidence or had high self-efficacy in Mathematics; and that the Pearson r of .187 with the respective significant value of .001, ,000, ,011, and,000, goal orientation, student-student interaction, teacher-student interaction and methods of teaching were found to have a significant relationship with self-efficacy in mathematics; and only physical facilities was not significantly correlated to self-efficacy in mathematics.&#x0D; Conclusion: Classroom learning environment variables are significantly related to self-efficacy in mathematics.
Adaptive Data Hiding Based Telephony Speech Enhancement

Public telephone systems transmit speech across a limited frequency range, about 300–3400 Hz, called narrowband (NB) which results in a significant reduction of quality and intelligibility of speech. This paper proposes a fully backward compatible novel method for bandwidth extension of NB speech. The method uses adaptive data hiding technique to provide a perceptually better wideband speech signal. The spectral envelope parameters are extracted from the high frequency components of speech signal existing above NB, which are then spread by using spreading sequences, and are embedded in the NB speech signal using adaptive data hiding technique. The embedded information is extracted at the receiving end to reconstruct the wideband speech signal. Theoretical and simulation analyses show that the proposed method is robust to quantization and channel noises. The log spectral distortion test clearly show that the reconstructed wideband signal gives a much better performance in terms of speech quality when compared to the conventional speech bandwidth extension methods employing data hiding.
The future of authorities and identifiers in national & international data sources & ROI, the Monash perspective

Presentation to ANZREG 2018: Monash University cataloguers use NACO to create authority records. This then puts these in the Community zone in Alma for use by other Alma users providing a seamless workflow with authority records linking to bibliographic records. Cataloguers also put identifiers in these NACO records-ORCID, VIAF, ISNI, etc. URIs in the 670s of these records also link to Monash University researcher profiles in PURE. NACO records are automatically in VIAF and the LC linked data service, thus creating linked data. As library systems enable their systems to use linked data our records will be ready to be part of linked data.
디지털 시대 댄스 리터러시 교육 방안 연구

The purpose of this research is to present a way of teaching dance in the digital age. The first is dance ekphrasis education based on experience. The second is digital dance literacy education, which consists of visual literacy, an interactive sense of integration, and cultural convergence. These educational measures will foster the ability to read, write, interpret and utilize the dance currently lacking in dance art education. Digital dance literacy education is a process of creative human education that not only fosters the ability to critically perceive, interpret and create digital images, but also selects, interprets and utilizes the digital world.
RE-AIMing Predictive Text

Our increasing reliance on mobile applications means much of our communication is mediated with the support of predictive text systems. How do these systems impact interpersonal communication and broader society? In what ways are predictive text systems harmful, to whom, and why? In this paper, we focus on predictive text systems on mobile devices and attempt to answer these questions. We introduce the concept of a ‘text entry intervention’ as a way to evaluate predictive text systems through an interventional lens, and consider the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) of predictive text systems. We finish with a discussion of opportunities for NLP.
Analisis Pengelolaan Dana Bantuan Operasional Sekolah Daerah (BOSDA) Dan Bantuan Operasional Sekolah Nasional (BOSNAS) Tingkat Sekolah Menengah Atas Negeri Kota Samarinda Terhadap Kinerja Keuangan Sekolah.

This study aims to know and to do the implementation of local and national government fund program towards the performance of senior high school city level in samarinda has been running with applicable regulation or not and also to find out the financial management in this case the expenditure. This research is about 18 senior high school level in Samarinda City. In this study using descriptive research with a quantitative approach. This study shows the results that the Implementation of the National School Operational Assistance Program (BOSNAS) and Regional Middle School Operational Assistance (BOSDA) in Samarinda City have met the stipulated regulations. Financial management in this case is the expenditure / realization of the National School Operational Assistance Program (BOSNAS) and Regional Operational Assistance (BOSDA) impacting the performance of State High Schools in Samarinda City. Funds allocated for 18 schools in Samarinda city sourced from BOSNAS and BOSDA amounted to Rp. 27. 917,500,000 while the realization was Rp. 24,586,745,984 or 88%. Funds that cannot be used are Rp. 3,330,754,016 (22%), this amount, if it can be utilized optimally, will certainly further increase the benefits of BOS budgeting objectives, namely to improve the quality of education services, especially those directly related to teachers, education staff, administrative staff and students school.