Reviewerly/exHarmony huggingface dataset:
Problem Analysis And Needs Electronic Student Worksheet Based On Android Biology Material In SMAN 3 Padang

The development of technology has resulted in various types of smartphones.  Smartphones android is used by various circles of society, especially among students in high school. Smartphone users among students can provide challenges as well as opportunities for teachers to optimally utilize technology for learning activities. One of the optimizations of smartphones is the creation of electronic student worksheet (e-worksheet) which can be accessed by smartphones android . E-worksheet is android expected to be a solution to overcome the problems of students regarding their dependence on the use of smartphones. The purpose of this study is to describe the problems and needs of e-worksheet android in schools. This type of research is descriptive research. The method used is data collection consisting of the results of interviews, questionnaire results of problems, and needs. Based on data analysis, the results of this study are:1) students at SMAN 3 Padang are allowed to use smartphones at school. 2) Students are more active in using smartphones to socialize through social media, games, and browsing compared to learning activities. 3). Students use the dominant smartphone usage time between two to four hours of the day 4) Students agree if there is learning material in the form of e-worksheet based android at school. 5) students agree if e-worksheet based android consisting of componets e-worksheet equipped with pictures and videos. 6) students agree if e-worksheet is based on android equipped with biological material and displayed interesting pictures and videos to make it easier to understand the material.
Value of musical noise instruments for modern art education

The article raises the issue regarding the possibilities of using musical noise instruments in the process of mass art education. The relevance of the topic is predetermined by these facts: a) insufficient attention of representatives of musical education to the use of musical noise instruments; b) the growing importance of this type of instrument in academic and popular music; c) increasing interest of modern youth in instrumental music making; b) the low degree of development of the theory and methodology of playing musical noise instruments. The goal of the work is to consider the phenomenon of musical noise instruments from the education viewpoint as well as to determine their pedagogical potential. The content of the article. Based on the analysis of special literature, the classification concept “musical noise instruments” has been specified. Their mechanical, acoustic, plastic, cultural and educational properties have been characterised. The features of musical noise instruments that determine the possibility and expediency of their use in the practice of musical education have been determined. The results of the study. It is proposed to understand “musical noise instruments” as acoustic mechanical devices that allow creating more or less plastic broadband and colour noises. It has been established that musical noise instruments have an important educational value, which can be explained by a number of factors: a) these instruments belong to the oldest sound generation devices in the history of mankind, familiarity with them serves to expand cultural knowledge and gnostic motivation for art education; b) mastery of them opens the way for developing traditions of the native national art and the wealth of other national cultures; c) musical noise instruments primarily serve to reproduce the musical rhythm in all its expressiveness and structural complexity; involvement of schoolchildren in playing music with musical noise instruments promotes the development of their musical and rhythmic abilities, perceptions and skills; d) since the role of musical noise instruments today has significantly increased in the practice of classical, jazz and popular music, the acquaintance of students with these instruments should be considered as one of the ways to master the poetics and artistic language of modern music in its various style and genre manifestations; e) musical noise instruments have a high potential in attracting preschool children and primary school pupils to active ensemble music playing. Modern pedagogy of higher education should study and develop the didactic capabilities of musical noise instruments in training future teachers of musical art: the formation of their sense of rhythm, texture, architectonics, timbre palette, intonational expressiveness; arranging skills, expanding musical and cultural experience. These tasks require an appropriate technique, the development of which is the author’s further task.
VAD CONCEPTS IN SPEECH PROCESSING A SURVEY

This paper presents a brief review of the recent advances that have taken place in the voicedetection activity areas that has been used in the digital speech processing. This review/survey paper gives anidea about the research works that have been carried out in this field & once the related works could beanalyzed, the problem formulation could be carried out and thus the article serves as a ready reckoner to beginwith for any researcher who wants to pursue research in this field.
A Transform Based Effective Robust Watermarking Method for Medical Data Security

The evolution of new information technologies has led to the emergence of a wide range of e-health applications. These applications continuously evolve and transfer a significant amount of sensitive data over the Internet. Such applications carry some security risks such as alteration and unauthorized access. A robust and secure watermarking technique is needed to protect medical data from unauthorized access. This paper aims to propose a new robust watermarking approach for protecting sensitive medical data, using DFT transform and QR decomposition. The main idea consists of embedding the watermark DFT coefficients into cover image DFT coefficients of the QR coefficients using a scalling factor to strengthen the robustness and imperceptibility. Simulations results prove that the proposed technique could find a better trade-off between robustness and imperceptibility.
Reliable and Interpretable Mortality Prediction with Strong Foresight in COVID-19 Patients: An International Study from China and Germany

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Decision making strategy for detecting authenticated recommendations and identification of valuable customers in online shopping sites

The online shopping sites help customers not only choose various products but also place their reviews on those products. Their choices and opinions are often beneficial to other customers who want to buy the product. In this paper, we propose a method to identify only the best recommenders and the best buyers to validate the authenticity of the opinions and they are denoted as the valuable customers. The number of customers being influenced by the recommender develops a link or connection, this leads to a chain of connectivity. This concept has been justified by applying graph theory notion. Since the online sites are dynamic in nature, hence to keep the record set updated with valuable customers' information decision tree learning technique has been implemented. The effectiveness of the method is tested by applying it to a data set obtained from Amazon.
IMPLEMENTASI MODEL PEMBELAJARAN EXPLICIT INSTRUCTION UNTUK MENINGKATKAN PRESTASI BELAJAR MATA PELAJARAN MELAYANI MAKANAN DAN MINUMAN SISWA KELAS XI JASA BOGA 2 DI SMK WISATA INDONESIA

This study aims to find out how the application of Food and Beverage Learning with the application of explicit learning model learning in class XI Catering Services 2 and improve learning achievement of Serving Food and Beverages after using explicit instruction learning model. This research is a Class Action Research with research design starting with action planning, action implementation, observation, and reflection. This research was conducted at the Indonesian Vocational High School in August to September 2014. The subjects of this research were students of Wisata Indonesia Vocational School of Tourism majoring in Culinary Class XI Service Boga 2 2014/2015 academic year consisting of 35 students. Data collection techniques use documentation, observation, and learning outcome tests. The instrument used in this study is a test of learning outcomes. Data analysis techniques using quantitative descriptive analysis. The results of the study show that 1) The implementation of learning practices on the subject of serving food and drinks by applying Explicit Instruction learning method with two cycles. 2.) there is an increase in learning outcomes in the practice of presenting Food and Beverages class XI Cooking Class (TB) 1 in the breakfast sub-indicator settings table and sub-indicator structuring table for lunch for cycle II by applying Explicit Instruction method. This can be seen from the average value of the first cycle 67.83 for pre test I and 85.45 for post test I. While for cycle II is 75.90 for pre test II and 88.28 for post test II. If the percentage of student achievement increases, then the cycle I increases 67.5% and cycle II 75%. Based on this data all students at the end of the action can achieve the Minimum Completeness (KKM) standard.
Quantum State Tomography with Feed-Forward - Towards Embedding Feed-Forward in Quantum Computation

We have preformed 2-photon Quantum State Tomography by embedding a Pockels cell in a feed forward configuration into a scheme for creating linear cluster states - a first step towards implementing feed-forward in quantum computation..
INSTITUTIONALIZING VIRTUAL REALITY BASED CONSTRUCTION PROFESSIONAL TRAINING

Applying Virtual Reality (VR) in construction professional training has been advocated as an effective method to improve learner’s cognition. However, there has been a lack of a systematic approach in VR-based training in the construction context. This study aims to develop a framework to institutionalize VR-based construction professional training design. Virtual Generation and Experience Road Map (VGERM) was adopted in the development of the mobile VR app for use in teaching substructure in an undergraduate construction technology course. A mobile VR app was developed by using a Unity-based platform, namely EduVenture. Procedures of the VR app development were articulated with an aim to demonstrate how the proposed framework can be utilized in fostering knowledge and skills transfer. Feedback of the users was collected through the Course Experience Survey. Findings of this study help gain a better understanding of the key areas to foster the benefits of VR for efficient use within professional construction training.
Research on Bilingual Teaching of Chinese Cooking Technology and Practice

Chinese food is extensive and profound, with many kinds of dishes and different characteristics. It reflects the diversity of Chinese food culture. With the development and promotion of Chinese culture, Chinese food culture has been welcomed in more and more countries and regions. It is part of the Chinese culture going to the world that needs attention. With the increase of domestic and foreign learners of Chinese cooking, and to improve the international training level of Chinese cooking talents, it is necessary to implement bilingual teaching in Chinese cooking techniques and practical training. This article introduces the target positioning of bilingual teaching in Chinese cooking techniques and practical training, analyzes the problems in bilingual teaching in Chinese cooking techniques and practical training, and explores countermeasures for bilingual teaching in Chinese cooking techniques and practical training.
Evidence-Based Suggestions to Improve UGC JRF-NET Examination

To increase the transparency and efficiency of the exam, the UGC has brought out substantial changes in the National Eligibility Test (NET) examination in the recent past. However, concerns have been raised with respect to the quality and credibility of the exam, given its evaluation criteria. In this context, this paper attempts to highlight some of the existing problems concerning exam and evaluation of the exam questions. First, we discuss the issues with the existing pattern of NET examination and other governance issues. Second, we have undertaken an online survey of the candidates’ who already appeared for the exam at least once to capture the general perception on the issues highlighted. Third, based on the findings from the survey, we present possible changes in the conduct of the exam to increase the quality and credibility of the exam further.
Students’ self-development through the prism of electronic portfolio

The following paper discusses one of the urgent tasks of higher education at the present stage - the development of the personality of a specialist capable of self-development in the conditions of education digitalization in the Russian Federation. The creation of the system of continuous education in Russia is primarily the result of this process, as specialists’ self-education is a necessary condition for successful employment, career growth, social and professional mobility at the present time. At the same time, the needs and opportunities of various forms of continuing education are unevenly distributed in various industries. So the IT industry requires constant self-education of employees. Practice shows that secondary general education, as a rule, does not develop the necessary skills of graduates’ self-education. Therefore, the issues of management of bachelors’ self-development as well as the formation of readiness for continuous education are very relevant for higher education. The paper describes conditions for the development of bachelors’ readiness to continue education in its various forms (formal, informal) using the electronic portfolio system, which is an integral part of the electronic information and educational environment (EIEE) of the University. The obtained materials can serve as a basis for the development of a single electronic educational space of Russian universities.
Minimal Free Space Constraints for Implicit Distance Bounds

A general approach for fitting implicit models to sensor data is to optimize an objective function measuring the quality of the fit. The objective function often involves evaluating the model’s implicit function at several points in space. When the model is expensive to evaluate, the number of points can become a bottleneck, making the use of volumetric information, such as free space constraints, challenging. When the model is the Euclidean distance function to its surface, previous work has been able to integrate free space constraints in the optimization problem, such that the number of distance computations is linear in the scene’s surface area. Here, we extend this work to only require the model’s implicit function to be a bound of the Euclidean distance. We derive necessary and sufficient conditions for the model to be consistent with free space. We validate the correctness of the derived constraints on implicit model fitting problems that benefit from the use of free space constraints.
Development of National University Web-Based Digital Library Information System

Management (SCM) is planning, organizing, coordinating and controlling all supply chain activities. Supply Chain Management prioritizes the flow of goods between companies from upstream to downstream (from company to shop) and involves suppliers to customers. This Supply Chain Management will provide capabilities regarding the importance of managing the supply chain in creating an efficient and effective manufacturing system, as well as systematic procedures for managing various activities in order to obtain a transformation so that it becomes a product in process, then becomes a finished product and is forwarded by delivery to consumers through the system distribution. This supply chain management aims to provide sufficient knowledge about SCM and its components, and has the ability to analyze SCM components related to the use of information technology implementation. Supply Chain is the management of various activities in order to obtain raw materials, followed by transformation activities so that they become products in the process, then become finished products and continue with delivery to consumers through the distribution system.
Quantum manipulation of entanglement enhancement in cascaded four-wave-mixing process

Entanglement manipulation in various systems is one of the important problems in quantum information science. In this paper, the phase sensitivity and entanglement enhancement of the cascade four-wave mixing of hot atomic steam are studied. The results show that the quantum entanglement of the probe light and the conjugate light output at the second level of the cascade four-wave mixing process is significantly stronger than that at the first level, and the maximum increment can reach more than 5 dB, and the perfect entanglement can be achieved by increasing the intensity factor. The relations of quantum correlation type and the size of the entanglement with the pump phase and the nonlinear intensity factor are also discussed in this work. The results show that because of the enhancement of entanglement and the sensitivity of entanglement type to pump phase, the light field noise characteristics can be changed by controlling the phase and intensity factors thus realize the enhancement of entanglement between the probe and coupling light and the quantum manipulation of entanglement extent and quantum entanglement type. The theoretical study is of important significance for guiding the experimental implementation of optical parameter manipulation of entanglement enhancement, compression angle and compression degree of two-mode compression state.
Dimensional Analysis and Dynamic Similarity

This textbook puts design at the center of introducing students to the course in mass and energy balances in chemical engineering. Employers and accreditations increasingly stress the importance of design in the engineering curriculum, and design-driven analysis will motivate students to dig deeply into the key concepts of the field. The second edition has been completely revised and updated. It introduces the central steps in design and three methods of analysis: mathematical modeling, graphical methods, and dimensional analysis. Students learn how to apply engineering skills, such as how to simplify calculations through assumptions and approximations; how to verify calculations, significant figures, spreadsheets, graphing (standard, semi-log and log-log); and how to use data maps, in the contexts of contemporary chemical processes such as the hydrogen economy, petrochemical and biochemical processes, polymers, semiconductors, and pharmaceuticals.
Metaheuristic Algorithms for Designing Optimal Test Blueprint

A Test Paper Blueprint/Question Paper Blueprint, also known as the table of specifications represents the structure of a test. It has been highly recommended in assessment textbook to carry out the preparation of a test with a test blueprint. The paper focuses on modeling a dynamic test Paper Blueprint using multi-objective optimization algorithm and makes use of the blueprint in dynamic generation of examination test paper. Multi-objective optimization-based models are realistic models for many complex optimization problems. Modeling a dynamic test paper blueprint, similar to many real-life problems, includes solving multiple conflicting objectives satisfying the blueprint specifications. Optimizing a particular candidate blueprint solution with respect to a single objective can result in undesirable results with respect to rest of the objectives. A reasonable solution to the multi-objective blueprint modeling problem is to examine a set of solutions, each of which satisfies the objectives at a satisfactory level without being dominated by any other solution.
Local Normal Forms of Autonomous Quasi-Linear Constrained Differential Systems

The paper presents a study of impasse (singular) points of autonomous quasi-linear constrained differential systems, also called differential-algebraic equations. The interest in such systems is motivated by their applications in various problems of pure and applied mathematics, including control theory, biology, and electric engineering. Local normal forms of such systems in a neighborhood of their impasse points are established.
An Improved Surf Algorithm Image Feature Point Extraction Based on Hadoop Cluster

This paper discusses the method of extracting image feature points on a Hadoop cluster using an improved Surf algorithm. Edge detection is performed on the pictures with Prewitt operator. The feature points are extracted at the edge of the target image by Surf algorithm, which remarkably decreases the amount offeature points in the image. The parallel processing of images on Hadoop cluster platform greatly improve the processing speed of massive images.
Provably Secure Scalable Distributed Authentication for Clouds

One of the most used authentication methods is based on short secrets like password, where usually the hash of the secrets are stored in a central database. In case of server compromise the secrets are vulnerable to theft. A possible solution to this problem to apply distributed systems. We propose a mutual authentication protocol with key agreement, where identity verification is carried out by multiple servers applying secret sharing technology on server side. The protocol results in a session key which provides the confidentiality of the later messages between the participants. In our solution we also achieve robustness and scalability as well. To show that the proposed protocol is provably secure, we apply the threshold hybrid corruption model. We assume that among the randomly chosen k servers, there is always at least one uncorrupted and the authentication server reveals at most the long-lived keys. We prove that the protocol is secure in the random oracle model, if Message Authentication Code (MAC) is universally unforgeable under an adaptive chosen-message attack, the symmetric encryption scheme is indistinguishable under chosen plaintext attack, moreover Elliptic Curve Computational Diffie-Hellman assumption holds in the elliptic curve group.
Parallelization of Encryption Algorithms using MPI

Encryption is a basic technique to achieve data confidentiality. A number of algorithms including RSA, DES, Blowfish, and AES have been parallelized using MPI and have been employed for practical file encryption.  Unified performance analysis of all these algorithms has been presented using two ECB and counter modes. On basis of experimental results, some guidelines have been suggested for the end-user to select the appropriate algorithm for achieving enhanced speed up
Robust High-Fidelity Two-Qubit Gates Using Pulsed Dynamical Decoupling

We experimentally characterize a two-qubit phase gate on radio frequency driven trapped-ion qubits generated by applying pulsed dynamical decoupling to each qubit’s carrier resonance. Robustness to pulse errors and ion temperature is shown.
Syntax Competence for Grade 8 Students Manifest in Basic Sentence Patterns

Syntax competence has a role in the success of communication. Syntax competence is manifested in the performance in composing sentences. According to the theory of transformation, sentences are divided into basic sentences and transformation sentences. Basic sentences have a basic phrase structure pattern, while transformation sentences have a pattern of changing basic sentences. The syntactic competence, which is manifested in the basic sentences of Indonesian, consists of five patterns, namely FN1+FN2, FN+FV, FN+FA, FN+FNum, FN+FPrep