Reviewerly/exHarmony huggingface dataset:
PSYCHOLOGICAL AND PEDAGOGICAL PRINCIPLES OF PROVIDING PROFESSIONAL TRAINING FOR STUDENTS OF SPECIALITY 263 – "CIVIL SECURITY"

The purpose of this work is аnalysing, emphasizing a range of psychological and pedagogical principles of professional training for students majoring in program subject area 263 – "Civil Security", substantiating their implementation through the specifics of the content, forms, methods and means of organizing the educational process in the university. To study the problem of pedagogical, didactic, psychological, social support for providing the principles of professional training for students majoring in Speciality 263 – "Civil Security" such groups of principles have been identified as general didactic ones and principles of student professional training (combination professional and fundamental training; professional direction of comprehensive and basic engineering disciplines; systematic and consistent presentation of professional curriculum content; optimal ratio of individual, personal and professional development; humanization and humanitarization of professional training). The grounds are provided to the problems of shaping the curriculum content of professional training, selecting forms and methods of working with students in the light of implementing principles of professional training: elements of binary education, students’ elective courses, involvement of specialists from the relevant companies of the region, practical training at core enterprises. The studied psychological and pedagogical principles of professional training for students majoring in 263 – "Civil Security" are universal for professional training in a modern domestic university. The proposed methodology for selecting the content, forms, methods and means of organizing the educational process, which is provided by a combination of general didactic principles and principles of vocational training, can serve as a universal model for professional training of students in the university.
IMPLEMENTASI STRATEGI PERSUASIF HALLIDAY DALAM BROSUR IKLAN HOTEL HORISON (THE IMPLEMENTATION OF HALLIDAY’S PERSUASIVE STRATEGY ON HORISON HOTEL’S ADVERTISEMENT BROCHURES)

Persuasive is one of language strategies. In a brochure, apart from paralinguistic elements, linguistic choices that include lexical choices and syntactic choices have the potentiality to change the behavior of a person. This writing focuses on how the relational process influences a person’s decision making. The method used in this study is a descriptive analytical method supported by Halliday’s theoretical approach. The results show that (1) the relationship of being on the verbal relational process contains the notion of class and entity that triggers the emotion of the person; (2) the idea of being related intensively, possessively, or merely situational; (3) the verbal relational process contains propositions that represent presentation strategies Abstrak Salah satu strategi dalam berbahasa adalah strategi persuasif. Dalam sebuah brosur,selain unsur paralinguistik, pilihan linguistik yang meliputi pilihan leksikal dan pilihan sintaktis berpotensi mengubah perilaku pesapa. Kajian ini memfokuskan pada bagaimana proses relasional memengaruhi putusan pesapa atas perilaku yang diambilnya. Metode yang digunakan dalam kajian ini adalah metode deskriptif analitis dengan didukung oleh pendekatan teori Halliday. Hasil kajian memperlihatkan bahwa (1) relasi being proses verbal relasi memuat gagasan kelas dan entitas yang memicu emosi pesapa; (2) gagasan being berelasi intensif, posesif, atau situasional; (3) proses verbal relasional memuat proposisi yang merepresentasikan strategi presentasi.
Taylor series based compressive approach and Firefly support vector neural network for tracking and anomaly detection in crowded videos

The application areas of multimedia content and computer vision analysis gains remarkable attention towards the motive to recognize the actions of the humans present in the video. Accordingly, crowd behavior analysis is important topic due to the significance of video surveillance in the public area. This work introduces an anomaly detection model by introducing a tracking model and the optimization based classifier for the crowd video. The objects present in the video require tracking since the anomaly depends on the action of the object. This work proposes a hybrid tracking model using the Taylor series based predictive tracking and the compressive tracking approach. The features are extracted from the tracked objects, and a feature vector is formed. Moreover, this work proposes the Firefly based support vector neural network (FSVNN) for the classification purpose. The weights of the proposed FSVNN classifier are trained with the genetic and the firefly algorithm. From the simulation results, it is evident that the proposed anomaly detection model with the FSVNN classifier attained overall better performance with the values of 0.97035, 1, and 0.96, for sensitivity, specificity, and accuracy, respectively.
PENGEMBANGAN WEBSITE KARYA INOVATIF MAHASISWA JURUSAN KURIKULUM DAN TEKNOLOGI PENDIDIKAN FAKULTAS ILMU PENDIDIKAN UNIVERSITAS NEGERI PADANG

Department of Curriculum and Educational Technology is one of the majors in Padang State University that focuses on curriculum development and utilization of technology in education. One form of their utilization of technology is the number of results in the form of innovative work products that have been developed and produced by the students and require an online means to publicize the innovative work in the form of a website. This study aims to produce innovative work Websites valid, practical, and efficient in the Department of Curriculum and Educational Technology.This type of research is the research and development known as the Research & Development (R & D) by using a model of the development of a modified Borg and Gall. Research conducted in the Department of Curriculum and Educational Technology. Products development assessed by one media expert and one of the experts in information systems as well as test the practicalities of the 30 students Padang State University. Subjects in this study were students of the State University of Padang. Data collection tool validation sheets and questionnaires.The validity of the test results indicate that the product is eligible products are used, in order to obtain media aspects of the validator average of 4.09 with a valid category and for aspects of information systems validator earned an average of 4.72 with a very valid category, as well as for product trials aspects of the practicalities of products categorized as practical and efficient with an average number of 4.69 It can be concluded that the website's groundbreaking work of students majoring in Curriculum and Educational Technology developed have been valid, practical and efficient. Keywords: Development, websites, innovative work, the Department of Curriculum and Educational Technology.
Pengembangan Aplikasi Lelang Karet Berbasis Mobile Sebagai Pendukung Akses Informasi Lelang

Rubber auction cooperatives are cooperatives whose main function is to auction rubber agricultural products for these member communities. Currently, among the problems that exist in the auction process, namely: first, auction entrants must come to the auction site even if only to bid a price. Second, the auction administration process has redundant of entrant data due to having to fill out a form every time they participate in the auction. From these two problems, this research will conduct application development as an auction medium for related parties. The application developed is a mobile-based application so that it can be accessed easily by all parties. The method used in the development process is the adaptive software-development method with three major stages of speculation, collaboration, and learning which was tested using black box testing. The Research Results are an application with the main feature of conducting the auction process from the cooperative's side, and auction participants can bid prices through the application. The application developed also functions properly in accordance with existing features as evidenced by the results of application testing using the black box technique so that it can help the rubber auction process for related parties.
METHODOLOGICAL SUPPORT IN A MODERN RURAL SCHOOL

The article describes the experience of methodological support for teachers in a rural school in the Kaliningrad region on the basis of federal and regional projects - Schools for Effective Growth, support for rural schools by Moscow schools, the School for Effective Management, the Center for Digital and Humanitarian Education "Growth Point". The definition of methodological work is given, approaches to the concept of different scientists are considered, the main features of the methodological support of rural schools are listed. A methodological support program is proposed on the example of one of the rural schools of the Kaliningrad region, which includes the goal, objectives, principles, content, planned results. It is proposed to include five areas in the program content - organizational, informational, personnel, scientific-methodological, legal support. According to the results of the study, it is concluded that the effectiveness of the methodological support program in a rural school can be achieved through the following indicators: one hundred percent passing the state final certification by ninth graders for two years, an increase in the number of teachers who passed certification, receiving stimulating payments by young teachers, achievements in the competition of young teachers at the regional level.
Wind Resource Assessment using Ramp Detection Technique

Due to rising load demand throughout the world and depleting nature of existing fossil fuels, the penetration of renewable energy sources (RES) to the grid is increasing.However, the uncertain nature of RESs makes it difficult to directly integrate with the existing conventional power plants.Therefore, it is quite important to consider the intermittent nature of RESs in the formulation and solution procedure.Out of the different RESs, the wind energy is taken into account in this paper and the uncertain nature of wind power is modeled using the ramp detection technique.Ramp events play an important role to fulfill the generationdemand properly.If these ramp events will not controlled, they will produce more pressure on wind turbines and turbine will be destructed.So for protected and steady process, it is essential that executer should have the knowledge about these ramp events.In this paper ramp ups and ramp downs of Dug site in Rajasthan are evaluated for sustainable wind resource assessment.After this, the comparison of these ramp events are done seasonally in which three seasons are taken namely: winter, summer and spring at a particular site for the wind power potential assessment.
Contextualized Embeddings for Enriching Linguistic Analyses on Politeness

Linguistic analyses in natural language processing (NLP) have often been performed around the static notion of words where the context (surrounding words) is not considered. For example, previous analyses on politeness have focused on comparing the use of static words such as personal pronouns across (im)polite requests without taking the context of those words into account. Current word embeddings in NLP do capture context and thus can be leveraged to enrich linguistic analyses. In this work, we introduce a model which leverages the pre-trained BERT model to cluster contextualized representations of a word based on (1) the context in which the word appears and (2) the labels of items the word occurs in. Using politeness as case study, this model is able to automatically discover interpretable, fine-grained context patterns of words, some of which align with existing theories on politeness. Our model further discovers novel finer-grained patterns associated with (im)polite language. For example, the word please can occur in impolite contexts that are predictable from BERT clustering. The approach proposed here is validated by showing that features based on fine-grained patterns inferred from the clustering improve over politeness-word baselines.
GENERALIZATION OF ARTS: POETRY AND ILLUSTRATION

The purpose of the article is to define the conception of perception of poetic texts and illustrations by generalizing these forms of arts.The methodology is based on the functional approach to verbal and non-verbal text comprehension.The scientific novelty of the work lies in understanding the process of generalization of two forms of arts, such as poetry and illustration that proves the idea of their twofold nature.The developed typology of poetic texts with a basic parameter -antithesis‖ and classification of the forms of illustrations are founded on the correlation of projecting and conceptual principles of reality reflection in verbal and non-verbal texts, and on the explicitness degree of evaluative characteristics.Conclusion.The generalization of two forms of arts contributes to developing a course of action for an artist-illustrator.The significance of the scientific research results can clarify the elements of ambiguity, uncertainty, obscurity in the process of perception of any work of arts.
Compositional Techniques of Montage in Dina Rubina’s Trilogy “Napoleon Wagon Train” as a Cycle-Forming Means

The study aims to identify compositional patterns of a trilogy, to outline its architectonic cycle-forming constants using the material of the trilogy “Napoleon Wagon Train” by Dina Rubina. Scientific novelty of the research lies in the following: the author has identified new principles in organisation of Rubina’s text, for the first time defined the techniques employed in montage of different artistic spaces, the use of cinematic strategies in organisation of time continuum, interlinking of different timelines according to the palimpsest principle. As a result, it has been proved that this method is peculiar to the writer’s latest prose and has been developed to the fullest extent in her trilogy “Napoleon Wagon Train”.
Proof of No-Work: How to Incentivize Individuals to Stay at Home

The recent pandemic of novel coronavirus introduces a new challenge to balancing social welfare, the economy, and privacy while reducing contact among individuals. To reduce the reproduction rate without spoiling our economy, we need good incentive mechanisms to reduce the possibility of spreading the virus as well as good privacy enhancing techniques. Unfortunately, some of the recent approaches in contact tracing are not successful due to privacy concerns and a lack of sufficient incentive mechanisms to guide behavior instead of simply tracking infections. In this paper, we provide a design using smart contracts as an incentive mechanism with enhanced privacy of user location information. We utilize encrypted data calculated from a set of network routing information, and a plaintext equality test of a public key cryptosystem to estimate the duration one is present at the same location. By staying at the same location longer, a user can obtain greater rewards. We have implemented a proof concept of this scheme to evaluate its efficiency. We also discuss financial regulation and economic viewpoints.
Pembelajaran Bilingual dan Usaha Sekolah Memaksimalkan Perkembangan Kognitif, Sosial, Dan Motorik Anak

This study aims to describe bilingual learning and school efforts in maximizing children's cognitive, social and motor development. This research is included in the field research with a descriptive qualitative approach. The data is taken from the results of observations of learning in happy classrooms, classroom teacher interviews and principals at Play group, Day Care and Kindergarten Ceria Demangan Yogyakarta. The results showed that bilingual learning is done both from warming up activities, circle time, breafing activity, snack time, free play, and going home. School effort in maximizing children's cognitive development is by the use of learning methods that are attractive to children. Children's social development by teaching children to work together, be responsible, be disciplined and help one another. Children's motor development with sports activities, social service, and learning while playing. And finally, complete play facilities are very supportive of children's cognitive, social and motor development.
Mixed Noise Removal by Processing of Patches

Sonar images are degraded by mixed noise which has an adverse impact on detection and classification of underwater objects. Existing denoising methods of sonar images remove either additive noise or multiplicative noise. In this study, the mixed noise in sonar images, the additive Gaussian noise and the multiplicative speckle effect are handled by the data adaptive methods. A patch based denoising is applied in two phases to remove the additive Gaussian and multiplicative speckle noises. In the first phase, the adaptive processing of local patches is used to remove the additive Gaussian noise by exploiting the sonar image local sparsity. The PCA and SVD methods are used for denoising the noisy image patches and blocks of patches. In the second phase, the weighted maximum likelihood denoising of the nonlocal patches reduces the speckle effect by exploiting the non-local similarity in a probability distribution. Experiments on side scan sonar images are conducted and the results show the importance of removing both the additive and multiplicative components from the sonar images.
Physiological Aspects of the User's Immersion in the Virtual Reality Environment on the Example of Creating a Hardware-Software Complex for Smell Transmission

This article discusses the use of prototypes of various technological devices to use odor sensory channel for higher immersion in virtual reality environments. Based on the results of research conducted by the teachers and students center of Usability and Mixed Reality at ITMO University, a prototype of a device for transmitting odors was developed. The article presents the concept and technological scheme of this device. The developed hardware and software complex consist of special platform based on a microcontroller (Arduino Nano) and a control device. The control device was built on the architecture of ARM, with the possibility of wireless connection. To control the air flow and odor supply from the tanks, it was selected a water pump, connections to the tanks is provided by with the help of special valves with a crane. In addition, for this software and hardware complex, a special three-dimensional location was modeled, as well as the design of the backpack and the scheme for its attachment.
Peculiarities of Self-Image Dependence of the Students with High Level of Neuroticity

The article presents the authors’ theoretical model of Self-image functioning with a peripheral part on the border of the relationship between the Self and the significant other person. An experimental study of the peculiarities of Self-image dependence is provided. The study involved 150 students of Lviv State University of Internal Affairs. Peculiarities of self-relation (dependence of the Self-image on significant other people) of students with high and moderate levels of neuroticism have been studied. The method of rapid diagnosis of neurosis (K. Heck; H. Hess), methods of self-assessment of mental states (according to H. Eysenck), author's experimental study of the "dependent" characteristic of the Self-image were used. Correlation analysis and Mann-Whitney comparative analysis were used for statistical data processing. As a result of the ascertaining experiment, it was found that the peripheral part of the Self-image of boys and girls with a high level of neuroticism (HN) is more dependent on the opinion of reference other people (unstable Self-image) than of persons with moderate neuroticism (MN) and this is accompanied by high levels of anxiety, frustration and rigidity. The hypothesis that students with a high level of neuroticism will more often depend on the opinion of significant others than students with a moderate level of neuroticism was confirmed. The studentship is a sensitive period for effective psycho-correctional influences in order to form a stable, positive and independent Self-image, and therefore, the quality use of psychological services of psycho-corrective influences can significantly affect well-being, learning and quality of life. The self-awareness of students with a high level of neuroticism should be considered both as the main object and as a fundamental support for psycho-correctional influence, and the resource of this influence should be sought in an adequate relationship.
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

Binary neural networks (BNNs) have 1-bit weights and activations. Such networks are well suited for FPGAs, as their dominant computations are bitwise arithmetic and the memory requirement is also significantly reduced. However, compared to start-of-the-art compact convolutional neural network (CNN) models, BNNs tend to produce a much lower accuracy on realistic datasets such as ImageNet. In addition, the input layer of BNNs has gradually become a major compute bottleneck, because it is conventionally excluded from binarization to avoid a large accuracy loss. This work proposes FracBNN, which exploits fractional activations to substantially improve the accuracy of BNNs. Specifically, our approach employs a dual-precision activation scheme to compute features with up to two bits, using an additional sparse binary convolution. We further binarize the input layer using a novel thermometer encoding. Overall, FracBNN preserves the key benefits of conventional BNNs, where all convolutional layers are computed in pure binary MAC operations (BMACs). We design an efficient FPGA-based accelerator for our novel BNN model that supports the fractional activations. To evaluate the performance of FracBNN under a resource-constrained scenario, we implement the entire optimized network architecture on an embedded FPGA (Xilinx Ultra96v2). Our experiments on ImageNet show that FracBNN achieves an accuracy comparable to MobileNetV2, surpassing the best-known BNN design on FPGAs with an increase of 28.9% in top-1 accuracy and a 2.5x reduction in model size. FracBNN also outperforms a recently introduced BNN model with an increase of 2.4% in top-1 accuracy while using the same model size. On the embedded FPGA device, FracBNN demonstrates the ability of real-time image classification.
Quantum Integer Programming (QuIP) 47-779: Lecture Notes

This lecture series on Quantum Integer Programming (QuIP) -- created by Professor Sridhar Tayur, David E. Bernal, and Dr. Davide Venturelli, a collaboration between CMU and USRA, with the support from Amazon Braket during Fall 2020 -- is intended for students and researchers interested in Integer Programming and the potential of near term quantum and quantum-inspired computing in solving optimization problems. Originally created for Tepper School of Business course 47-779 (at CMU), these were also used for the course ID5840 (at IIT-Madras, by Professors Anil Prabhakar and Prabha Mandayam) whose students (listed at the beginning of each lecture) were scribes. Dr. Vikesh Siddhu, post-doc in CMU Quantum Computing Group, assisted during the lectures, student projects, and with proof-reading this scribe. Through these lectures one will learn to formulate a problem and map it to a Quadratic Unconstrained Binary Optimization (QUBO) problem, understand various mapping and techniques like the Ising model, Graver Augmented Multiseed Algorithm (GAMA), Simulated or Quantum Annealing and QAOA, and ideas on how to solve these Integer problems using these quantum and classical methods.