Reviewerly/exHarmony huggingface dataset:
FORECASTING RICE INVENTORY IN INDONESIA USING THE ARIMA ALGORITHM METHOD

Objective – The global development of the world is increasingly developing, and complex accompanied by the era of globalization, making various sectors of need to follow these developments. The agricultural sector, which is the main sector, especially in the need for food for every society, especially in Indonesia, is also touched by technological developments. Planning the supply of rice needed monthly is crucial so that there is no excess or shortage of the required rice stock. Methodology – Made predictions from the amount of rice stock data using the CRISP-DM method to analyze the data and use the ARIMA Algorithm. Findings – This research predicts the amount of rice production that will be carried out in the next few months by applying the forecasting or prediction method using the CRISP - DM method and using the ARIMA algorithm. Novelty – This study predicts the amount of stock of an item using Rapidminer tools.
Application of Remote Sensing and Field Geophysics for Exploration of Cu Deposits in Bab-Zangoeie, Chahar-Gonbad Region of Kerman, Iran

Application of Remote Sensing and Field Geophysics for Exploration of Cu Deposits in Bab-Zangoeie, Chahar-Gonbad Region of Kerman, Iran
Exploration about Incorporating Cross-Disciplinary and Blended Teaching in Analytical Chemistry Course

In order to improve the teaching quality of analytical chemistry course, we carried out a series of reforms in the teaching of this course.Abundant informationized teaching resources have developed as the important support for the achievement of blended learning, which includes MOOC, wisdom teaching courseware by rain classroom, item bank APP and virtual simulation experiments.A new teaching method, namely "progressive OPPOs" has innovatively proposed and a cross-disciplinary collaborative teaching coupling with blended teaching was used for teaching reform as a new education mode in analytical chemistry course.
Critical Discourse Analysis of Propaganda Created by Mirror.co.uk and Thedailystar.net for Concerning Islamophobia

This research investigates the propaganda techniques used by the online news author concerning Islamophobia. This study used lexical choices by Fairlough’s textual analysis and the aim of this study is to identify the words including verb, noun, adverb and the propaganda techniques that used by the news author to describe Islam and Muslims in their news articles. Types of research used in this study are descriptive qualitative research. The results of this study are from mirror.co.uk found that the author used 72 words including verb, noun, and adverb for describing Muslims. Meanwhile, thedailystar.net found that the author used 83 words with negative meaning for describing Islam. From the analysis of the lexical choice, the top frequencies used by the two media are terrorists, extremists, radicals and militants. From the analysis of propaganda techniques, found that both media used name-calling, card stacking, and testimonial propaganda techniques. The two media used name-calling techniques in total 155 words, card stacking in total 31 sentences, and 11 sentences are testimonial propaganda techniques. Both media also used the words which have negative connotation, and images. In such manner, it is proposed that the world of Islam be aware of this false opinion used negative propaganda against Islam and take fitting and convenient measures with the goal that they could present the genuine idea of this holy religion to the world and diminish the quantity of Islamophobic assaults on Muslim people group all through the world.
Workshop Making Accidents Visible. Lange Nacht der Forschung

We are at a crucial moment in time for the future of our cities: more or less cars? Autonomous vehicles or public transport? In this virtual workshop we invite you to co-create memoryscapes: visuals of accidents inscribed in our city. This would change our perception of reality: while it will not bring the accident victims back, it may save others by generating policy action in Vienna and elsewhere.In this short introduction, Robert Braun give a theoretical impulse on the topic. We then invite you to co-create memoryscapes: visuals of accidents inscribed in our city.
Placement of Actor Network Theory in School Library Environment Research

Actor Network Theory (ANT) takes on the position that non-human objects which alter the behavior of people with which they share an environment are actors exerting force into the environment. While ANT has been used in education since the late twentieth century, it has not yet seen utilization in school library environments research. As a result, there remains a significant gap in the way school library environments are studied. This literature review seeks to make a case for the importance of including ANT in school library environments research. By taking a closer look at the design and inclusion of specific objects within the school library environment, we can better equip school library spaces for the needs and wants of the students to which the library belongs.
Performance comparison of support vector machine and gaussian naive bayes classiﬁer for youtube spam comment detection

Youtube is a video sharing site that was begun back in 2005. Youtube produces over 400 hours of substance each moment and more than 1 billion hours of substance are devoured by clients every day. In this work, we present a new approach by comparing the analysis results using a support vector machine and the Gaussian Naive Bayes classificatio. Our proposed methodology We used the dataset from UCI especially Youtube-Shakira for training and testing. The transformed dataset is split into training and testing subsets and fed into Naive Bayes and Support Vector Machin. In all cases, the F1 score was used to evaluate the classifier's performance. The results of the experiment are displayed in Gaussian Naive Bayes with an F1 score of 84.38% and a Support Vector Machine (SVM) with an F1 score of 88.00%. Naive Bayes is consistently the worst performer than SVM.
THE CONTENT OF THE SELECTIVE DISCIPLINE “DIGITAL TECHNOLOGIES IN EDUCATION” AS A MEANS OF BUILDING DIGITAL COMPETENCES IN FUTURE TEACHERS OF THE HUMANITIES

The article focuses on building digital competencies in future teachers of the Humanities. It was established that introducing digital technology into studying the humanities generates new opportunities that had previously been unavailable. These issues are covered by Digital Humanities – a field of research, education and creation at a nexus of computer science and humanities. To solve the problem, a selective discipline, called Digital Technologies in Education, has been introduced. This can be adapted for retraining school teachers and university lecturers. The topics of the discipline are arranged in such a way that studying one module prepares students for covering every subsequent module. The whole course is divided into 4 modules: 1) Developing instructional materials by means of digital technologies; 2) Planning and organizing the learning process by means of digital technologies; 3) Distance learning; 4) Professional development as a way to manifest teacher’s identity. The practical use of this discipline will raise students’ awareness of digital technologies that will help them make this process easier and more effective; the students will explore popular software and services for distance learning arrangement and acquire skills of using them. Different aspects of teacher’s job are mentioned, they are as following: planning and organizing the learning process (this often entails a lot of paperwork); aspiration for professional development, learning new things, and adjusting curricula to modern reality.In this paper, we have presented the discipline, with the help of which students will gain and extend knowledge of all above-mentioned areas as well as practical skills of implementing digital technologies in education and professional life.&#x0D; Keywords: digital technologies; Digital Humanities; humanities; modern technologies; digital competence; education; selective discipline; humanitarization
Color in the System of Artistic Means of Cinema

Although the main visual information in film is carried out by the shape of objects, their position in space and their correlation with other objects, color in the motion picture also plays a significant role because the color scale has a strong aesthetic and emotional impact on the viewer. Color is often an organic part of the dramaturgy of film. The exact coloristic solution of a frame, episode or film is able to create the desired atmosphere of action. Different screen chronotopes are often indicated with the help of color — it could be an artistic space of reality, memories, fantasies or a movie character’s dreams. Color helps to convey the subjective perception of reality by the film’s heroes. In a certain context, the color scheme of a film, shot or an individual object, can acquire a metaphorical or symbolic sound. Cinematography initially adopted many of the techniques related to compositional and light-color solutions from painting, which is especially noticeable in the works of directors who pay great attention to the plastic solution of the frame. Today with the introduction into filmmaking of digital technologies, work on the visual solution and color harmonization of the screen image is becoming in many ways similar to the art of an artist. The article analyzes and summarizes the creative experience accumulated by cinema in working with color images and investigates the functional role of color in film, the psychophysiological and emotional impact of color on the viewer, the symbolism of color, and various methods of color solutions in modern films.
METHODOLOGY OF MULTI-FACTOR ANALYSIS IN SOLVING RESERVOMETRY PROBLEMS IN THE SPORT OF THE HIGHEST ACHIEVEMENTS

Sports of the highest achievements requires the fullest possible use of the psychophysical capabilities of an athlete, which requires a fundamentally different approach, compared to mass sports, in the preparation of athletes using modern scientific methods for diagnosing the functional state of the body (FSB). Conducting scientific research with the required quality needs the use of multivariate analysis of the obtained primary data characterizing the FSB. Analysis by individual factors or analysis of only the final result does not allow to identify weaknesses and assess the reserves of the athlete’s body. The indicated requirements for multivariate analysis are satisfied by the Algebraic Model of Constructive Logic Algorithm (AMCLA), which is used in healthcare. AMCLA as an analytical tool allows performing complex analytical calculations and building expert systems on its basis. The AMCLA is based on the logic of predicates, which fundamentally distinguishes this mathematical apparatus from neural networks. The use of AMCLA cannot be considered as an alternative to the use of others methods of multivariate analysis. The best is the result of the analysis, confirmed by fundamentally different methods. Comparative analytical calculations with neural network algorithms have shown coincidence in the fundamental components of the result. Nevertheless, AMCLA can also identify the most characteristic differences, evaluate restrictions in the choice of treatment and the correct choice of factors, which is important in analytical studies in biomedical research. To participate in the study, 182 qualified male athletes aged 19–22 years (20.5±1.5) were selected, with different levels of functional reserves. They were engaged in sports with a high dynamic and static component (football, basketball, volleyball, boxing, swimming, athletics), according to the classification by Mitchell JH and co-authors, who are at the stage of improving their sportsmanship. The dysfunctional orientation of regulatory mechanisms in qualified athletes in groups with rhythm disturbances and impaired repolarization processes against the background of a decrease in physical performance and stress of adaptation mechanisms was reliably classified by phasographic speed indicators of the heart electrical activity, which was determined using AMCLA. Innovation indicators averaged phase of the cardiac cycle suggests a lack of verified earlier values that characterize the different states. In this case, AMCLA made it possible to identify the most significant indicators of the phase averaged cardiac cycle to characterize various states and differentiate the ranges of their values. Multivariate analysis of the functional state indicators of the athlete’s body with the use of AMCLA can be a methodology for solving the problems of reserve measurement in the highest achievements sports.
Recognition of Offline Handwritten Characters using 2D FFT for English and Hindi Scripts

The Handwritten Character Recognition has been a challenging task for the past many decades. This is an old application related to the area of pattern recognition. Handwritten character recognition (HCR) can be classified into two types namely, Online and Offline. As per the literature survey, there are no standard databases for HCR [1] [2] [3] since there are very less number of speakers for any Indian language compared to English. Hence, the database of Indian scripts both for testing and training are to be developed in the laboratory environment. The recognition accuracy for printed / typed characters is more than 99 percent, whereas for the HCR it is around 60 percent. Hence the area of HCR is an open area of research. HCR for Indian languages is at nascent stage compared to English since they contain alphabets and also matra’s / sandhi are complex which make the recognition tougher. The freedom of the scriber in writing the script is also another challenge for achieving the better recognition accuracy. This work describes the handwritten character recognition of both Hindi and English scripts by extracting features using 2D FFT and using the Nearest Neighborhood Classifier. The best recognition accuracy for handwritten character recognition of English and Hindi languages obtained is 70%.
Multiplicative Watermarking Method with the Visual Saliency Model Using Contourlet Transform

We have proposed an image adaptive watermarking method by using contourlet transform. Firstly, we have selected high-energy image blocks as the watermark embedding space through segmenting the original image into nonoverlapping blocks and designed a watermark embedded strength factor by taking advantage of the human visual saliency model. To achieve dynamic adjustability of the multiplicative watermark embedding parameter, the relationship between watermark embedded strength factor and watermarked image quality is developed through experiments with the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM), respectively. Secondly, to detect the watermark information, the generalized Gaussian distribution (GGD) has been utilized to model the contourlet coefficients. Furthermore, positions of the blocks selected, watermark embedding factor, and watermark size have been used as side information for watermark decoding. Finally, several experiments have been conducted on eight images, and the results prove the effectiveness of the proposed watermarking approach. Concretely, our watermarking method has good imperceptibility and strong robustness when against Gaussian noise, JPEG compression, scaling, rotation, median filtering, and Gaussian filtering attack.
Pandemic and Teaching the Georgian Literature (Developing emotional intelligence)

Since 2020 our planet is facing a huge danger named pandemic Covid-19. This latter seems like is tempting the humankind, reminding that besides technological miracles exist other significant factors necessary for prolonging and supporting the life on earth. Human moral values, like empathy, solidarity, helping those in needed, that were temporarily shifted back to the foreground now naturally moved back to surface. And these highly moral people gifted with such features (mainly medics and volunteers) are fighting against the virus and saving the lives all around the world. Simultaneously, importance and necessity of controlling and managing human emotions in adequate directions have aroused. Thus, emotional intelligence is attracting significant attention, it is the main and necessary background for creating everything that is valuable for humanity.Either our native country is facing and is fighting against pandemic, the country which is situated on the cross of East-West worlds, the country with enriched and ancient history and culture. After gaining the state independence important institutional branch like educational system was under refining and reforming processes when pandemic as a challenge came upon. Because of latter situation it is of great importance that new vectors and tendencies featured in contemporary worldwide educational systems should be promptly reflected on our educational system as well.By the author’s opinion, main attention should be focused on establishment of highly moral values and emotion controlling issues, especially to an education process of young people born and rising in digitalized epoch. The art, and principally literature, should make significant contribution towards this direction.In this article some processes and changes made in educational system at schools are discussed and criticized from above stated position; are mentioned and emphasized the centuries-old traditions of preaching humanism, compassion and tolerance in Georgian literature; our literature’s possibilities of teaching in terms of the development of emotional intelligence in adolescents are analyze.
Comparison Support Vector Machine and Naive Bayes Methods for Classifying Cyberbullying in Twitter

Twitter users in Indonesia in 2019 were recorded at 6.43 million. The high level of Twitter users makes it allows for free opinion to anyone, it can cause cyberbullying. Victims of cyberbullying experienced higher levels of depression than other verbal acts of violence. The forms of cyberbullying that occurs on Twitter are Flamming, Denigration, and Body Shaming. The research contribution is able to make social media developers and users more aware of the type of cyberbullying that social media users sometimes do without realizing it. Social media developers can prevent cyberbullying by using policies such as word detection and filtering features that indicate cyberbullying more accurately by classifying it by type and using the most accurate method. To classify cyberbullying forms in twitter, in this study we use the Naïve Bayes method and Support Vector Machine (SVM) and compare them based on classification accuracy. This research will also identify words that are characteristic of each category of cyberbullying so that each category is easy to identify by social media users and makes it easier to avoid cyberbullying. The results of this study are the classification accuracy of Naïve Bayes of 97.99% and the classification accuracy of SVM of 99.60%. It means that SVM is better than Naïve Bayes for classifying the forms of cyberbullying in Twitter.
RC4 Cryptography Implementation Analysis on Text Data

Security and confidentiality have become very important and continue to grow. In recent years, there have been several cases involving data security, such as the leaking of Facebook user account information. This is certainly a significant issue in the world of information technology and even the world of entrepreneurship because it involves one of the young entrepreneurs, Mark Zuckerberg. Main problem in this case is data security. who can know information and who should not know information. To overcome such things, research is made in the field of data and information security by analyzing one of the encryption and decryption techniques, namely RC4 cryptography. This study explains how RC4 cryptography works, the advantages and disadvantages of RC4 cryptography, and the effectiveness of RC4 cryptography. RC4 (River Ciper 4) is a decryption encryption technique that uses a key as a reference. The process consists of KSA, PRGA, and XOR. To find out the usefulness of RC4 cryptography, in this study, encryption and decryption were carried out on text data. There are several advantages and disadvantages to RC4 cryptography from a technical point of view. The advantage that needs to be underlined is that this RC4 cryptography uses a certain key as a reference, things like this can provide convenience to the encryption maker but can also be a threat. as a result RC4 can hide information very well while the secret key is not known by others. In addition to being used in text data, this cryptography may be used for other data such as audio and video.
Help Me Help You: Make the Most of Your Production Vendor Relationship

MODERATOR: Heather DiAngelis American Society of Civil Engineers Reston, Virginia SPEAKERS: Theresa Fucito AIP Publishing Melville, New York Byron Laws Nova Techset – Katalyst Susan D Willner American Society of Nephrology Arlington, Virginia REPORTER: Samantha Bruno Fuller American Association for the Advancement of Science Washington, DC Production vendors play a key role in the success of many publishers and their journals. They provide services and technologies that can greatly increase the quality and reach of a publication. Introducing vendors into the equation of publication management is common but requires management of the vendor relationship. This is not always easy, and this session explored the relationship from both the vendor and customer perspectives, providing guidance on how to improve the relationship and thus, your publication. Theresa Fucito, Director, Content Operations at AIP Publishing, started off the session from the customer perspective. She spoke about AIP’s recent launch of a new books program and how they were reliant on the production vendor to make it a success. She outlined tips for managing this relationship, starting with vendor selection. Customers need to have a clear understanding of what priorities and attributes they value and choose a vendor that echoes those. Once you enter into a vendor relationship, trust needs to be built. The vendor–client relationship should be a partnership with constant communication to set expectations, ensuring everyone is on the same page, and monitoring the progress of projects. A feedback loop should be established; however, keep in mind that feedback in the form […]
Macro-Elements Prediction in the Tissues of Carassius Gibelio (Bloch, 1782) Using Adaptive Neuro-Fuzzy Inference Systems

The Prussian carp represents a valuable food resource in Danube Delta, and also, it is a well-known bioindicator for monitoring the pollution of the aquatic environment. The aim of the present paper is to apply the neuro-adaptive techniques, to obtain fast and economic sustainable results for the prediction of magnesium (Mg) and calcium (Ca) concentrations in the muscle and hepatic tissues of Carassius gibelio. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) require validated data sets for the development of intelligent models. Thus, within this paper the prediction of Ca and Mg in the muscle tissue of the Prussian carp has been generated. Model training, testing and validation was realized based on results obtained after samples analysis in the laboratory. The results registered in this study confirm the efficiency of ANFIS models use for the fast prediction of macro-elements in fish tissues. Further investigation is required in order of optimize the prediction methodology.