Reviewerly/exHarmony huggingface dataset:
The Practice and Assessment of College English Flipped Classroom Teaching in Medical Schools

To better meet the demand of our society for the new compound talents with high abilities of intercultural communication, education reforms have been under way for a long time. College English teaching has been explored and perfected in terms of teaching contents and teaching model. This essay has practiced and assessed college English flipped classroom teaching, by carrying out teaching experiments, retrospectively comparing the results college English examinations of clinical medical students of Grade 2014 to 2017, and undertaking the questionnaire. It is concluded that college English flipped classroom teaching is feasible and is of many advantages, but there are still many problems which can’t be neglected. The practice and assessment of college English flipped classroom teaching mentioned in this essay will be significant to English teaching development.
Teaching and Learning Cycle Technique Implication to Boost the Third Semester Students’ Ability in Grammar of D3 English Program of Universitas Bengkulu

The aim of this research was to investigate the ability of the third semester students of D3 study program of universitas Bengkulu in using appropriate grammar by implementing the teaching and learning cycle technique. This is a classroom action research. It was done in genre writing class. There were 23 students. Three instruments were applied in this research such as observation, fieldnote and test. From the observation result, it could be seen that there was the students’ activeness and the increasing ability of the students in using grammar for certain text type. The fieldnote results also showed that the amount of the students asking in the class increased, the ability to make appropriate title for certain text type, the use of appropriate vocabulary and grammar increased too. From the last intrument, test, also found that there was significant increase of students’ average score from the first to the third cycle. The score was 64,71 and 82. At last, it can be concluded that the technique of teaching and learning is successful to increase students’ ability in using appropriate grammar for a certain text type.
Automatic Sleep Staging based on Curriculum Learning Approach

Automatic sleep staging is helpful to improve diagnosis efficiency of sleep-related diseases. This work introduces the many-to-many formulation for automatic sleep staging, which means using a many-to-many mapping to convert the contextual input to the corresponding contextual output. We use convolutional neural networks (CNNs) to perform the many-to-many mapping, and use multilayer perceptron (MLP) to merge the contextual output into the final prediction for a particular epoch. In order to avoid the influence of unobvious characteristic waves and wrong labels on the training process, this work leverages the technology of curriculum learning. By clustering algorithm based on local density, the training set is divided into several subsets according to the signal quality. We design a learning strategy by successively leveraging these subsets. To the best of our current knowledge, this is the first work using curriculum learning for automatic sleep staging. It is showed by experiments that our scheme yields an accuracy comparable to the state-of-the-art on the public dataset Sleep-EDF.
Multi-scale View Reveals Easily Detectable Community in Complex Networks

Community is a prominent feature of complex networks, and many methods have emerged for community detection.However, the existing methods have many intrinsic drawbacks and cannot work effectively.To solve the problems, this paper probes deep into the effects of multiand single-scale community detection methods.Firstly, a typical multi-scale method was adopted to detect the communities in synthetic and real-world networks.Then, five singlescale methods were employed for community detection in the same networks.The detection results of both types of methods were analyzed in details.The results show that, for a given network, the communities must be prominent and easily detectable by single-scale methods, if these communities are both strongly synchronous and if the synchronous partition falls within the stable partitions detected by multi-scale methods.If these communities only satisfy the first condition, then they can be detected by some special single-scale methods.If these communities are asynchronous, then they cannot be effectively detected by single-scale methods, and should be treated with multi-scale approaches.The research findings shed new light on the design of community detection methods.
Checking in with the KU Leuven Fund for Fair Open Access

KU Leuven has been supporting Green OA through its institutional repository Lirias for many years already. As it is clear, however, that Green OA provides only part of the solution for the crisis in scholarly communication, the university was looking to intensify its efforts to maximize exchange, collaboration and innovation thanks to the dissemination of scholarly results. This led to the establishment of the KU Leuven Fund for Fair Open Access in March 2018. This fund initially provided financial support for the production costs of OA monographs published by Leuven University Press as well as for the production costs of articles published in OA journals, on the condition that these journals are published according to the Fair OA model and maintain the highest academic standards. As of 2019, the scope of the fund was broadened to include financial support to non-commercial publishing initiatives and infrastructures in general.&#x0D; This poster briefly presents the KU Leuven Fund for Fair OA and details which articles, books, initiatives and infrastructures are supported during the first two years of operation. It also discusses the future of the fund and how it ties in with the open scholarship roadmap within KU Leuven.
Professional Qualities Formation of Educators in the System of Professional Development Training

This paper considers the formation of professional qualities of educators in the system of professional development training.The significance of the discussed problem is proved by the need of a new type of educator according to new educational standards and needs of the modern world.Today education sees the need to develop in educators a socially active person.One of the effective methods of the social activity development is volunteering that give an opportunity in self-realization in different spheres of life.The objective of the research is to get, generalize and systemize the results of the questionnaire about reasons for volunteering, influence of volunteering on a volunteer itself, its' influence in development and opportunities of increasing social activity in the educational process with the help of volunteering.The hypothesis of the research consists in the following proposition: pedagogical opportunities of volunteering in the system of professional development training such as formation of social and professional important qualities of educators, training students to future profession, opportunity to natural implementation into the system of civic relationship, development of general human and cultural values are tested in the development program of volunteering.The study provides an opportunity to look how much social active educator means in the professional development training due to the new government standards in the educational process.
80 TRANSCRIPTOMIC SIGNATURE OF THE 16P11.2 DUPLICATION IN CULTURED NEURONS AND BRAIN

Computer generated holograms are often exploited to implement optical encryption schemes. This paper proposes the integration of dynamic visual cryptography (an optical technique based on the interplay of visual cryptography and time-averaging geometric moiré) with Gerchberg–Saxton algorithm. A stochastic moiré grating is used to embed the secret into a single cover image. The secret can be visually decoded by a naked eye if only the amplitude of harmonic oscillations corresponds to an accurately preselected value. The proposed visual image encryption scheme is based on computer generated holography, optical time-averaging moiré and principles of dynamic visual cryptography. Dynamic visual cryptography is used both for the initial encryption of the secret image and for the final decryption. Phase data of the encrypted image are computed by using Gerchberg–Saxton algorithm. The optical image is decrypted using the computationally reconstructed field of amplitudes.
Cloud Computing Adoption in Enterprise: Challenges and Benefits

Loss of the business and downturn of economics are part of almost all types of business activities.There are also new concepts and technologies evolved and entrepreneurs need to keep update accordingly.Therefore, business people have to concentrate on keep exploring new ways to cut down expenses without compromising on the quality.One of the options is to go for the latest technologies.Taking into consideration these problems, the entrepreneurs always choose the right technology to minimise losses, increase efficiency and maximise their profit.In order to help out the entrepreneurs, the IT industries have developed platforms for businesses to use shared resources and online applications through cloud computing.The significant role played by cloud computing in providing a solution to the problems faced by business enterprises to increase business growth and help them to stay alive in a competitive environment.Cloud computing also brings efficiency in managing business resources and make improvements in traditional business practices.It also facilitates the enterprises to avoid unnecessary expenses of procedural and administrative nature, hardware and software costs.Apart from the advantages of cloud computing have certain drawbacks also.The main issue is the security in cloud computing considering the attacks on the cloud too.The primary objective of this paper is to highlight the benefits, challenges in adopting cloud computing and utilizing services offered by cloud computing.Recommendations have also been made to ease the adoption process and how to address security issues.The method has been used is the secondary research, that is collecting the respective data from
FILM ANIMASI PENGENALAN SAHAM DENGAN METODE MOTION GRAPHIC

Investment is a principle thing in the business world, because investment is one source of capital that can be owned by capital holders. The public still has a perception that shares or capital markets or exchanges are something complicated, expensive and have high risk. A survey conducted by OJK in 2012 explained that the level of literacy and financial inclusion of Indonesian people was still relatively low at only 3.7 percent literacy and accountability. Only 0.11 percent is inversely proportional to the number of Indonesians whose numbers are always increasing every year. Let's Save Stocks is a campaign that was inaugurated in 2015 by Indonesian Vice President, Yusuf Kalla in enhancing the role of the community in shares. An interesting promotional media is needed to introduce shares to the public, one of which is an animated film that is able to be consumed by people of all ages, education and economics. Moreover, motion graphic is a technique that is able to make still images to move and be interactive.
Analisis Penerapan Algoritma ID3 dalam Mendiagnosis Kesuburan Pria

Men’s fertility disorder is one of difficult thing to be diagnosed, if fertility has a problem, the fertilization process will be disrupted. That’s all to be the most predominant cause of discordant household. Numbers of data on men's fertility are obtained by detailed enough. Secondary data from this dataset, made a reference in making decision tree using the ID3 algorithm in software Rapid Miner. Iterative Dichotomizer (ID3) is used because it is one of the commonly used classification algorithm in Data Mining to implement decisions of some attributes that have been determined in accordance with the data customized with their needs. ID3 algorithm generally calculates the Entropy value of each attribute and the value of the Information Gain of each attribute that are able to form a decision tree that is expected to assist in decision making. The results of the tests and the method can be used to diagnose men’s fertility appropriately with a fairly high degree of accuracy.
Noticing: Its Impact on Adult Users of English in a Non-Native Context

This paper presents one perspective of the conversation on noticing.It investigates the noticing experience of adult users of English in a non-native context.The respondents were forty final-year undergraduate students majoring in Accounting in a public tertiary institution.A questionnaire, a short-written test, and post-test verbal report sessions were used to source empirical data to probe the respondents' own noticing experience of ten linguistic features.Values were generated to approximate and represent the respondents' noticing experience, implicit knowledge, and their explicit knowledge of the linguistic features investigated.The study reveals that adult users of English in second language contexts may possess implicit knowledge of linguistic features they had not previously noticed, but they need to notice in order to have explicit knowledge of linguistic features.The study concludes that second language learners usually learn what they have first noticed, and that which has been noticed usually results in learning.
EVALUATION, DEMANDING SITUATIONS AND POSSIBILITIES OF BIG DATA AND CLOUD COMPUTING

This paper gives the profound appraisal of huge information (Big Data) and Cloud Computing.These fields have advanced phenomenal weight over the most present years and capacity pulled in numerous mechanical association examination and gatherings.In present day ICT universes, there are two most significant fields are utilized for putting away and recovering information, these are Big Data (enormous data) and distributed computing.Each are uncommon on account of the Big information speaks to data inside type of literary substance, previews, pix, video cuts while distributed computing is framework concerning equipment, stockpiling, programming system and verbal trade instruments.The huge information is included 4 significant components -Extent (volume), (speed), Range (assortment), and Veracity causes the data to oversee and examination requesting conditions for the conventional actualities stockrooms.Simultaneously as each are blended, it gives awesome impacts for the clients.Utilizing distributed computing, enormous information might be handled on our non-open PC structures and workstations pretty easily.Each of those give a solid arrangement this is adaptable and pleasing for huge insights and boss investigation.The venture investigation addition can offer enormous favorable circumstances in now daily's reality.Every one of the records sources develop as without issue close by in each test of ways of life.This research paper talks about the key considerations of distributed computing and enormous data, their similarity with each unique and the manner in which they are useful for organizations around the region.
THE RELATIONSHIP BETWEEN SOCIAL ECONOMY AND PEER SUPPORT WITH VEGETABLES AND FRUIT CONSUMPTION BEHAVIORS AMONG VOCATIONAL STUDENT

Adolescent generally undergo changes in their lifestyle, including their consumption pattern.. Consumption of vegetables and fruit in adolescents is very important to support growth and good health status, if teenagers consume less vegetables and fruits are at risk of experiencing degenerative diseases that usually appear in adulthood. One of the problems in the juvenile phase is the lack of consumption of vegetables and fruits which are influenced by internal and external factors. Several factors related to the adequacy of vegetable and fruit consumption in adolescents include: characteristics, socioeconomic, and social support (family and peers). The research problem is how is the socio-economic relationship with the consumption of vegetables and fruits. The aim of the study was to examine socio-economic relations with consumption of vegetables and fruit students. This research is quantitative using a cross-sectional research design. The study was conducted at the State Vocational School 1 Percut Sei Tuan in Deli Serdang District. The samples were all students of class X and class XI Department of Software Engineering State Vocational High School 1 Percut Sei Tuan Deli Serdang Regency in 2018 amounting to 97 people. Data collection tool uses a questionnaire. The test used is chi-square (bivariate). The chi-square test results show that there is no a relationship between socioeconomic with vegetable consumption (p&gt;0.05), whereas peer support there is relationship with vegetable consumption (p&lt;0.05) and there is a relationship between socioeconomic (income household permonth, pocket money, vegetable available) and peer support with fruit consumptio (p&lt;0.05). Researchers suggest that families, especially parents, continue to control adolescents, including peers and in terms of consumption of vegetable and fruit both at home and outside the home.
Social Network based Question and Answer System

Question and Answer (Q&A) systems play a vital role in our daily life for information and knowledge sharing. Users post questions and pick questions to answer in the system. Due to the rapidly growing user population and the number of questions, it is unlikely for a user to stumble upon a question by chance that (s)he can answer. Also, altruism does not encourage all users to provide answers, not to mention high quality answers with a short answer wait time. The primary objective of the system is to improve the performance of Q&A systems by actively forwarding questions to users who are capable and willing to answer the questions. Also improve Social Network Based Question and Answer system with security and efficiency enhancements by protecting user privacy and identifies, and retrieving answers automatically for recurrent questions.
Factors Affecting Switching Behavior of Mobile Set Users: The Case of Khulna City, Bangladesh

This study leads to explore the important factors affecting the behaviors of switching mobile sets and people's attitudes toward particular features.The questionnaire which is provided to gather data regarding the study contains 16 items measured on a five-point Likert scale.The data were analyzed by using frequency analysis and descriptive statistics.The results indicate that problem with network, design, price consideration and problem in power supply, etc. has greater impact on switching behavior of mobile set users.And it also shows the factors which are less considered by the mobile handset users that includes: using new one as well as making a profit by selling it and gift from others.It is assumed that this research will enable the future researchers to work in an expanded field.
Object Detection and Visual Innovation using AR

This paper presents the implementation of applications that can detect objects and display information regarding it using reverse image search and various other AR applications. It discusses mainly about MobileNets for mobiles to detect an object. This MobileNets are based on streamlined architecture that uses depth-wise separable convolutions to build light weighted deep neural networks. This paper demonstrate the effectiveness of MobileNets across a wide range of applications and use cases of object detection.. This paper also talks about augmented reality, it is a technology which combines virtual objects and real-world environment. This paper proposes application for trying different furniture items in virtual way, measuring a plot and visualising it on 3D to place furnitures. It will eliminate the need of physically visiting the furniture store which is very time consuming activity.
The Patent Lawyer's Guide to Fascism: On Individual Autonomy and Private Law

This essay presents an unusual and potentially valuable way of thinking about patent law. It is worth considering the ways in which the structure of private law may affect our susceptibility to undesirable forms of societal organization. This essay considers how a well structured patent system could potentially reduce our susceptibility to fascism by: (1) promoting an ethos of independent creative thought, and (2) facilitating market entry by startups, thereby reducing market concentration and possibly reducing authoritarian hierarchy. One legitimate utilitarian aim of the patent system might be to thus promote horizontal individualism, which could tend to work against fascism’s extremely nationalistic vertical collectivism. Promotion of individual autonomy might be an under-recognized benefit of the patent system, suggesting a valuable lens through which to view not only patent law, but also other areas of private law.
The Effect of Reporting Channel and Moral Reasoning on Intention to Report the Fraud in Procurement Processes in the Government Sector

This study aims to examine the effect of the reporting channel and the level of moral reasoning on interest in reporting fraud that occurs in the procurement of goods / services in the government sector.In this study proposed the hypothesis that the interest to report fraud will be higher with the use of anonymous reporting channels as compared to using a non-anonymous reporting channel.In addition, people with high levels of moral reasoning will be more interested in reporting fraudulent actions than those who have low levels of moral reasoning.The study design was a laboratory experiment 2 x 2, with students accounting at Universitas Negeri Padang who has been at 5 and 7 semesters as employees of government agencies involved in the process of government procurement.Each subject is presented with one of two case versions available randomly.The statistical method used to test the hypothesis is two-way ANOVA.This study provides results that through an anonymous reporting channel, interest of employees to report any acts of fraud in the government procurement process will be higher than through non-anonymous reporting channels.Interest in reporting fraud in the government procurement process will be higher in individuals / employees who have higher levels of moral reasoning than individual employees with low levels of moral reasoning.When the available reporting channels are non-anonymous, individuals with a high level of moral reasoning will be more inclined to report fraudulent acts that occurred compared with individuals with low levels of moral reasoning.
A Sequence-to-Action Architecture for Character-Based Chinese Dependency Parsing with Status History

Character-based Chinese dependency parsing jointly learns Chinese word segmentation, POS tagging and dependency parsing to avoid the error propagation problem of pipeline models. Recent works on this task only rely on a local status for prediction at each step, which is insufficient for guiding global better decisions. In this paper, we first present a sequence-to-action model for character-based dependency parsing. In order to exploit decision history for prediction, our model tracks the status of parser particularly including decision history in the decoding procedure by employing a sequential LSTM. Additionally, for resolving the problem of high ambiguities in Chinese characters, we add position-based character embeddings to exploit character information with specific contexts accurately. We conduct experiments on Penn Chinese Treebank 5.1 (CTB-5) dataset, and the results show that our proposed model outperforms existing neural network system in dependency parsing, and performs preferable accuracy in Chinese word segmentation and POS tagging.
Patterns of Cephalic and Facial Indices in Three Ethnic Groups in Rural Population of Banke District of Nepal

Abstract available with the full text.