Reviewerly/exHarmony huggingface dataset:
Information Behaviour in the Wake of Information and Communication Technologies: Conceptual Review

The rapid development in Information and Communication Technology has had a huge impact on acquiring, processing, storage, access, and disseminating information. Technology has also introduced a paradigm change in information behaviour, introducing efficiency, effectiveness, saving time and cost. There is, therefore, the need for information professionals today to re-examine the information user behaviour to seek information services to ensure that the design and provision of information match the need of the modern information user. The paper used a simple literature review as a methodology by reviewing related literature on the role ICTs play in information access and application of information by the user today and what the professional information needs to do to leverage these developments. The findings of the study revealed that with the increase of technological advancements there is too much information available that lacks authenticity and credibility thus affecting information-seeking behaviour. This paper examines the role ICTs play in information access and application of information by the user today and what the professional information needs to do to leverage these developments
Image Denoising Based Improved Curvelet Threshold

Although wavelets are powerful as a tool in image processing it has three serious drawbacks: shift sensitivity, poor directionality and lack of phase information.Wavelets suitable for dealing with objects with point singularities; it can only capture limited directional information due to its poor orientation selectivity.Through decomposing the image into a series of high-pass and low-pass filter bands, the wavelet transform extracts directional information that capture vertical, horizontal, and diagonal activity.However, in noisy images, these three linear directions are limiting and might not capture enough directional information, like medical CT scans, which do not have strong vertical, horizontal, or diagonal directional elements.Ridgelet transform improves Multiresolution Analysis MRA segmentation; however, they capture structural information of an image based on multiple radial directions in the frequency domain.Line singularities in ridgelet transform provides better edge detection than its wavelet counterpart.One limitation to use ridgelet in image segmentation is that ridgelet is most effective in detecting linear radial structures, which are not dominant in images.The curvelet transform is a recent extension of ridgelet transform that overcome ridgelet weaknesses.Curvelet is proven to be particularly effective at detecting image activity along curves instead of radial directions which are the most comprising objects of images.However, the fact that at sufficiently fine scales, a curved edge is almost straight, and so to capture curved edges, one ought to be able to deploy ridgelets in a localized manner, at sufficiently fine scales.In this paper, a new method is used combining the Window Shrink threshold and Bayes Shrink threshold based on Curvelet transform to enhance removing Additive Weight Gaussian Noise AWGN noise from image.It has better PSNR than the traditional Curvelet that uses each threshold alone, and the images gotten by this method is better and outperform that of the traditional curvelet and wavelet methods and the results reported here are promising.
Development of the need for professional self-development of future foreign languages teachers

The process of European integration which is observed in Ukraine today encourages changes in all areas of human activity, such as: economics, engineering, architecture, management, philology, pedagogy and others.The labor market is crowded with specialists in various professions, and the teaching profession is no exception.
Considering Ethics in Agricultural Experimental Research with Special Mention to Agricultural Biotechnology Research

Ethics in experimental research equals scientific integrity, a notion principle particularly stressing honesty while implementing discipline concepts on what is excellent and terrible. Some moral responsibility is defined through specifically agreed standards in doing experimental research. Ethics of experimental research in agriculture involves all activities done before, during, and after the study, consisting of personal, research, and social ethics. Ethical code and policy include, but are not limited to, honesty, objectivity, integrity, carefulness, openness, intellectual right recognition, confidentiality, responsible publication, social responsibility, competency, legality, and protecting research object/subject (plant, animal, human) from possible unfair manipulation. One development triggering the controversy of agriculture’s experimental ethics is the progress of agricultural biotechnology which resulted in genetic engineering products. Rules, regulations, and laws concerning the use and development of genetic engineering in agriculture to avoid adverse effects of these products, such as rising environmental hazards, increasing human health degradation, and unfair economic competition, should be considered and implemented.
VRefine: Refining Massive Surveillance Videos for Efficient Store and Fast Analyzing

Ubiquitous cameras continuously produce enormous surveillance videos, largely challenging the capacity of video analytics and storage system. Although such videos are encoded and compressed by codecs to effectively reduce inter-/intra-frame redundancy at pixel level, they still consume massive storage space, thus being deleted periodically to recycle storage. To reduce hardware pressure in both efficient computation and long-term storage, we propose a video refining system, VRefine, merely retaining key contents for the surveillance videos to achieve a high storage efficiency and fast video analytics. VRefine further eliminates potential inter-/intra-frame content redundancy inherent in surveillance videos from the perspective of video analysis. Specifically, VRefine gradually reduces video size in three consecutive stages: removing all B frames and part of P frames (KStore), condensing the remainder frames based on motion vectors (CStore), and extracting object-semantics into a text database (SStore) using existing object detection models. We implement and evaluate VRefine. The experimental results show that compared with the raw surveillance video, VRefine can reduce 42.3%-94.3% storage size and shorten the analyzing time by 46.5%-95.8%, with a slight and controllable reduction in prediction accuracy (3.0%).
NEW MATERIALS FROM THE AMHERST MEREZHKOVSKY ARCHIVE 2. N. A. BERDIAEV IN THE «DIARIES» OF T. N. GIPPIUS (1906–1908)

This publication introduces the academic community to the new data from the archives of the Merezhkovskys and D. V. Filosofov, which are stored in the Amherst Center for Russian Culture (Massachusetts, USA). It presents a selection of letters by Filosofov (1906) and N. A. Berdiaev (1907) that provide new details concerning the relationship between the two. Excerpts from the «diaries» of T. N. Gippius that supplement the «Berdiaev» narrative are published as an appendix.
THE ERROR ANALYSIS IN USING TENSES MADE BY STUDENTS IN ENGLISH TEACHING AND LEARNING PROCESS

We can find term “Error Analysis” in language. These errors could make misunderstanding of English sentence meaning. Tense is a rule when we want to explain our activities and events in written text. As we are academic students, we must have full understanding about tenses, because if we don’t do it, there is much miscommunication that we got. But students don’t have full understanding about this problem. They assume tense as a big burden. It is a real phenomenon that the researcher found. The goal of this researchwas the students’ progress and every student’s level in understanding tenses. The method of this research used quantitative method. Kinds of errors made by second grade students of Health Information Management in using tenses are omission 50% (omission of simple present tense 50%). The percentage errors of using tenses are simple present 50%, simple past 35% and simple future tense 15%. Students should pay attention seriously in learning tenses because tenses are part of grammar.
ORIGAMI – Oration to Physiognomy

More than 400,000 people die from homicide and other crimes each year. Despite the law workers doing everything they can these numbers keep rising. In order to provide help to deal with this situation, this paper explains how we can use deep learning to make correlations between faces and sound they produce which can, in turn, be used to track down criminals. Here, we analyze and comprehend how exactly a person’s face is created from a short audio clip of his/her voice. A deep neural network is trained and devised using a dataset of people speaking. Various physical features of the speaker like age, gender and race are captured during training by learning voice-face correlation in a self-supervised manner without explicit modelling of these features. Variations in numeric values between reconstructions from audio and original images are compared and evaluated to train the model to determine how the model works. The canonical face of a person is created from the audio clip. The reconstructed image will not be like the true image but will have the most prominent features of the true image.
Physics of digital photography, 2nd edition

We all love photography and the availability of digital cameras has made taking pictures an easy and enjoyable every-day thing. From taking selfies to documenting social events and from artistic co...
The Show and Tell or Deliver the Presentation strategies: which is effective more?

In several non-English educational institutions in Indonesia, the problem of students who are not fluent in speaking English is still quite a lot. The various obstacles faced by each student are very diverse, and it will not be far from limited vocabulary mastery, self-confidence, and also weak self-motivation for the spirit of learning. Various methods are used to improve the ability to speak English. Some are compatible with one method, but not the other, and vice versa. This study aims to determine whether the method that STIE WIkara students admit is more effective for practicing speaking English, is the Show and Tell method or Presentation with power point. The results of the study show that STIE Wikara students admit that an effective method for practicing speaking English is a method that makes it easier for them to speak without thinking to translate into English.
Peningkatan Rasa Percaya Diri Melaui Pelatihan Public Speaking pada Siswa SMK N I Selo Boyolali

Public speaking is a public speaking skill that can be trained. By continuing to do the practice of speaking in public effectively, a person can grow his self-confidence when speaking in front of many people. The importance of public speaking in one's life is to increase self-confidence. For this reason, this public speaking training activity is carried out to achieve these goals for the students of SMKN 1 Selo Boyolali. This training activity includes material presentation about public speaking, discussion sessions, training to become an MC, speech training, storytelling sessions, and game sessions. This activity is expected to provide benefits for students of SMKN 1 Selo Boyolali in increasing self-confidence.
Simulating complexity measures on imbalanced datasets

Classification tasks using imbalanced datasets are not challenging on their own. Classification models perform poorly on the minority class when the datasets present other difficulties, such as class overlap and complex decision border. Data complexity measures can identify such difficulties, better dealing with imbalanced datasets. They can capture information about data overlapping, neighborhood, and linearity. Even though they were recently decomposed by classes to deal with imbalanced datasets, their high computational cost prevents their use on applications with a time restriction, such as recommendation systems or high dimensional datasets. In this paper, we use a Meta-Learning approach to estimate the decomposed data complexity measures. We show that the simulated measures assess the difficulty of the dataset after applying preprocessing techniques to different sample sizes. We also show that this approach is significantly faster than computing the original measures, with a statistically similar estimation error for both classes.
Explore the Metal Elements of Chadegan Based on Geophysical Data and Remote Sensing

The studied area is located on the one hundred thousand page of Chadegan, in the middle of Sanandaj-Sirjan zone and on the metalogenic belt of Malayer-Golpayegan, in the western part of this to Isfahan province. With regard to the anomalies of metallic minerals in the region and considering the growing demand for metals from metals-related industries, particularly lead and zinc and while most exploration and geological activities in the region are old has never lead to any comprehensive results.In this project, first the geographical and geological location of the region is studied and then remote sensing was applied in the area and then satellite images sensors ETM+ were analyzed with ENVI 4.8 software and reflective elements and promising areas were introduced. In the next step, Lead and Zinc anomalies were studied by geochemical methods and by data obtained from 900 samples from the region, map of lead and zinc anomalies of the area was drawn by software SURFER 10, then we matched it with the report from the agency and finally we compared the results together. As a result, it became clear three areas were determined for Pb-Zn which are mostly located in the eastern half of the Chadegan 1:100 000 page, which is the area around Tiran A and Asgaran-Krone B, meaning Northeastern part of the page, and around Hoorah C (around Zayandeh Rood River) which is the Southeastern part of the Chadegan page, they were all introduced for more detailed studies.
BLOCKCHAIN AND SMART-CONTRACTS, AN EXAMPLE OF COEXISTENCE BETWEEN LAW AND THE CORRESPONDING SCIENCES, “ECONOMICS AND MATHEMATICS AS AN EXAMPLE”-A READING IN PHILOSOPHY AND AUTHENTICATION

Following to an in-depth analytical approach, the research presented a academic study with a civic perspective, which presented the doctrine of each of the "Blockchain" software, and its main output, "S-Contracts", in comparison with the legal doctrine on the one hand and the contract doctrine on the other hand, as a model for the affected cases. And the influence between law and economics on the one hand, and law and mathematics on the other. Referring to two main sections, the first presentation of the economic doctrine of the "Blockchain" software, and the second presentation of the logistical doctrine of smart contracts "S-Contracts". The research highlighted the difficult positioning of the law within this new model of inter-coexistence, between economics on the one hand, and mathematics on the other hand. Indicating how these two sciences have placed him between the economic weight of the Blockchain program and the mathematical equation hammer for S-Contracts, so that you look to him in his purely economic dimension, while you do not see the second in his contractual relations beyond an arithmetic process, It operates according to the concept of an automated policeman, indicating the consequences of that, in terms of canceling and altering many legal concepts rooted in the general theory of obligation in general, and in contract theory in particular, such as the concept of error and damage, the concepts of compensation and liability, the theories of emergency conditions and force majeure, and the preventive and protective role of the judge, Expressing the spirit of law, not law .... and others. Within this critical inter-equation, the research recommended the necessity of reviewing the law for itself, and shifting thinking from traditional coexistence frameworks to exploring digital coexistence frameworks. By adapting and moving from reaction to action. Hoping that he would not let economics, with its liberal, utilitarian philosophy, or of mathematics, by its abstract nature, determine how this software might affect the law or the relationships within it. Stressing the need to put in place the legislative frameworks that regulate this, according to a dimension that takes into account the philosophy and rootedness of value law, not utilitarian economics or linguistics. It also enhances the integration between the various concepts of these concepts, without any of them canceling the other, according to an integrative participatory rather than abolitionist, provided that the valued human aspect remains the supreme word, leading to building a more disciplined, more efficient, and more fair.
Technology Blueprint Frizzy Electric Toothbrush / Nur Hafiza Shamsudin

Kool Sdn. Bhd. is a new private company that start-up its operation in Shah Alam, Selangor. The company was established and open-up their operation on the 1st January 2020. It is a new invented company that managed by the six partners of it. Kool expected to catch the interest of different group ages of people, so that they can have more than one group of loyal customer base in the future. There will be a new invention product with creatively ideas applied on it to make sure that the operation of the business can be longer in the business industry. The first impression of people towards the business appearance on the market will be the profound impact of it in making sure that its life span can be longer than expected. Our company has decided to build and create the strong market plans for the upcoming invention products as it will be the first impression of the company about the product that they created. The strategy basically will apply the philosophy of business marketing strategy that are the 4P’s that known as Product, Price, Place (Distribution) and Promotion. There will be a mild competitive climate of the product on the country as there will be few partners in the same market that will be shared by the company.
실습 수업에서 일부 치기공과 학생들의 블렌디드 러닝과 전통적인 면대면 수업 비교 연구

Purpose: This study aimed to verify whether blended learning is worth alternating with traditional face-to-face learning for some dental technology students in practice teaching. Methods: A total of 68 students were included in this study. They were divided into two groups to compare blended learning and traditional face-to-face learning. The experiment had been carried out over 15 weeks. The following tests were performed: test of instructional quality, test of learning satisfaction, test of perceived usefulness, and test of learning flow. The IBM SPSS software was used to analyze the data. Results: The learning satisfaction and the perceived useful of blended learning by students appeared to be higher than that of traditional face-to-face learning. However, there was no significant difference in the variables of traditional face-to-face learning and those of blended learning (p<0.05). Conclusion: Blended learning is an alternative to traditional face-to-face learning for some dental technology students in practice teaching.
Nilai Pendidikan Karakter Novel Bidadari-Bidadari Surga Karya Tere Liye: Tinjauan Sosiologi Sastra Dan Implemetasinya Sebagai Bahan Ajar Di SMP Kelas Viii

This study aims: (1) to explain the structure that builds the novels of Heaven's Angels by Tere Liye, (2) to explain the value of character education in the novels of Angels by Heaven's Tere Liye, (3) to explain the implementation of building structures and the educational value of the character of the Angels novel -bidadari Tere Liye's Heaven as teaching material in junior high school class VIII. This research uses descriptive quantitative research. The data are novel literary works entitled Tels Liye's Heavenly Angels. The primary data source is the novel Angels of Heaven by Tere Liye and secondary data from the internet. The data validity technique uses data triangulation and theory triangulation. Collection techniques are library techniques, refer to techniques, and note techniques. Data analysis using dialectic method. Based on the analysis of this study produced (1) the structure of the building of the novel Angels of Heaven by Tere Liye namely the theme of family love. The plot in the novel Angels of Heaven is a mixed plot. The2setting is the Lahambay Valley, Mt. Semeru, the alpine mountains, Rome Termini. The time frame is from 1983 to 2008. (2) the value of character education contained in Tere Liye's Heavenly Angels is religious, honest, tolerance, discipline, hard work, creative, independent, democratic, curiosity, love of the motherland , appreciate achievement, be friendly / communicative, love peace, love to read, care about the environment, care about social, responsibility. (3) The results of the research on the structure and value of character education are implemented as literary teaching materials for class VIII KD 3.17 exploring and finding information from fiction and nonfiction books that are read
Forecasting Analysis of Covid-19 Cases with Wavelet Neural Network and Time Series Approach

COVID-19 is a respiratory disease caused by a novel coronavirus first detected in December 2019. As the number of new cases increases rapidly, pandemic fatigue and public disinterest in different response strategies are creating new challenges for government officials in tackling the pandemic. Therefore, government officials need to fully understand the future dynamics of COVID-19 to develop strategic preparedness and flexible response planning. In the light of the above-mentioned conditions, in this study, autoregressive integrated moving average (ARIMA) time series model and Wavelet Neural Networks (WNN) methods are used to predict the number of new cases and new deaths to draw possible future epidemic scenarios. These two methods were applied to publicly available data of the COVID-19 pandemic for Turkey, Italy, and the United Kingdom. In our analysis, excluding Turkey data, the WNN algorithm outperformed the ARIMA model in terms of forecasting consistency. Our work highlighted the promising validation of using wavelet neural networks when making predictions with very few features and a smaller amount of historical data.
Efektivitas Pengembangan Bahan Ajar Seni Budaya Melalui Aplikasi Kinemaster di Masa Pandemi Covid-19

The COVID-19 pandemic (Coronavirus disease 2019) is an epidemic that has changed various aspects of human life, especially related to the world of education. Therefore, the purpose of this study was to determine the effectiveness of developing cultural arts teaching materials during the COVID-19 pandemic, especially for class XI SMA Muhammadiyah Ponjong in arts and culture subjects. The research method uses mixed methods the research, with a sequential exploratory design approach. The use of the population and the sample is class XI SMA. For data collection techniques, they are using observation, interviews, and questionnaires via a google form. Then, for data analysis techniques using statistical data in the form of diagrams. Moreover, the results of this study regarding the use of the KineMaster application is an innovation where no teacher has ever used the development of similar teaching materials in the teaching process. With this KineMaster application, teachers can explain the material that is based on theory and practice. In addition, although distance learning, teachers can still meet face-to-face behind the scenes.Keywords : kinemaster application, pandemic, learning outcomes, cultural arts subject