Reviewerly/exHarmony huggingface dataset:
RESEARCH ON QUALITY TESTING AND EVALUATION TECHNOLOGY OF FUNDAMENTAL GEOGRAPHIC INFORMATION DATABASE SYSTEM

Abstract. The extensive application of fundamental geographic information data in various industries makes it play an increasingly important role in national economic construction and social development. As a fundamental geographic information database construction project with data and database management system as its core, quality testing and evaluation is the key link and means for measuring database suitability and system application success or failure. This paper proposes a set of fundamental geographic information database system quality model, conducts research on quality testing techniques and methods, and establishes a quality evaluation system, which has been applied in national and provincial basic geographic information database systems.
Personalized Smart Diet Assistance System in Health Care Prosperity with AI and AR

Health care prosperity is the most challenging task for human being in the present dangerous COVID scenario and the discovery proposes an augmented reality based personalized smart diet assistance system which provides diet recommendations, appropriate time, type, quantity and method of consumption of a food item diet based on user health parameters based on location and event activities. The augmented reality based system comprises a user data input, an image processing, food consumption assistance, transmissible disease information retrieval and diet planning modules. The system incorporates an AI based camera to scan a food item before or after cooking and utilizes augmented reality to indicate the nutritional information. The proposed system provides personalized diet recommendations to the user based on personal data such as height, weight, existing medical conditions and thereof of a user. The system retrieves existing transmissible diseases data from world health organizations and data from news articles about any viral infections or diseases to suggest immunity boosting foods to the user to thereby safeguard the user against such diseases or infections.
The Effect of Blended Learning-based College Chinese Education on the Improvement and Perception of Core Competency

With the advent of the 4th industrial revolution era, the concept ‘core competency’ was newly emerged. The focus of college education changed from acquisition of knowledge to achievement and fulfillment of core competency. Given the original purpose, culture education is a suitable curriculum to improve such core competency.BR In this aspect, the purpose of this study is to find a plan for improving efficiently the core competency of learners of Chinese language as a cultural subject. In reference to related works, a questionnaire tool was designed. The same Chinese language subject was applied to blended learning in the 1st semester of 2021, and to Zoom real-time class similar to conventional class-room lecture in the 2nd semester of the year. A questionnaire survey was conducted at the end of each semester. In comparative analysis, the improvement in core competency and the difference in perception were analyzed.BR As a result, students who took blended learning class significantly improved their communication ability and self-directed ability. The abilities of global citizen and commitment to cooperation were not different. In addition, positiveness of their communication, professional knowledge, and problem-solving abilities was relatively high. Improvements in communication and global citizen competency were significantly different depending on a period of Chinese language learning. It is expected that the results of this study will be used as a fundamental material to design the curriculum for improving core competency in Chinese language education.
AI enabled makeup tool

The transition of technology over the years increases its application in new domains such as face detection using a pre-trained model. The cosmetic industry is most popular now with the need for automating the experience of a trial virtually. The objective of this project is to create an artificial intelligence-enabled makeup tool which provides the same level of experience. This is done using semantic separation in the profile preview using a pre-trained model called BiSeNet. This model identifies facial features into its classes. The makeup tool changes the color of lips and hair giving a realistic look for a better realisation. This provides a virtual experience to try on different choices of the user without the need to visit a store.
Universal Zeno competition in the dissipative Jaynes-Cummings model

In this paper we demonstrate competitive Zeno physics in the dissipative Jaynes-Cummings model. The mechanism relies on Zeno coexistence between the single-mode field and the environment. We show that the Zeno suppression of coherent evolution predicted by the standard Jaynes-Cummings model can dramatically fail in the presence of the dissipative environment. For hydrogen atom, such a Zeno effect is not usually observable because the environment ignored previously would, in fact, work in a dominant manner. Moreover, beyond the extremely short-time measurement limit in atomic decay, the Zeno time for hydrogen reaches ${10}^{\ensuremath{-}10}$ s in the dressed-state picture, which presents an immediately realizable Zeno scheme for the decay of a real atom in the current technology.
Vehicle Inboard Device for Wheelchair Storing

The device was designed to automatically bring an empty wheelchair inside a vehicle and conversely, to bring it out when required. The wheelchair operator needs to have upper limbs mobility since it is required for moving from wheelchair to vehicle seat and back and also, obviously for operation of the device and the vehicle. However, no particular strength or physical ability is required to operate the device. The device is made-up of two basic parts: the first one allows the sliding of the vehicle door to the rear and the second one picks up and brings the wheelchair inside the vehicle and conversely, brings it out again when required. The device can be used by most disabled people with upper limbs mobility. The device can be adapted to most cars, even smaller ones, and can take care of most wheelchairs with only minor modifications.
PENINGKATAN KEMAMPUAN MENULIS TEKS BUKU HARIAN DENGAN MENGGUNAKAN MODEL BELAJAR KOOPERATIF TIPE STAD PADA SISWA KELAS II SD NEGERI 18 AIR TAWAR SELATAN

This research is motivated by the fact in the field that the writing ability of students in grade II SD Negeri 18 Air Tawar Selatan is still low. This condition results in low student learning outcomes in Indonesian subjects under the KKM that has been set, namely 70. This study aims to improve writing skills using the STAD Type Cooperative learning model for class II State Elementary School 18 Air Tawar Selatan. This type of research is Classroom Action Research (CAR), where the teacher is the implementer of learning while the researcher is the observer. The design of this study uses the Kemmis and Mc. This research was conducted in the even semester of the 2018/2019 academic year, namely in September. The subjects of this study were second grade students of SDN 18 Air Tawar Selatan, which consisted of 30 students. The object of research is student learning activity. Data collection techniques using observation and interviews. Data were analyzed descriptively and presented in the form of tables and graphs. Based on the improvement of learning that has been carried out from Pre-Cycle learning, Cycle I and Cycle II, it is seen that there is an increase in student learning outcomes, namely from the Pre-Cycle Average score of 58.7,3 with a percentage of completeness 29.41% while in the first cycle the average value an average of 70.29 with the percentage of completeness increased to 70.5%, and increased again in the second cycle to 100% with an average value of 80.29. The use of the STAD Type Cooperative learning model in learning Indonesian in class II SD Negeri 18 Air Tawar Selatan can improve student learning outcomes.
Design of power measurement vector analysis tool

Abstract At present, in terms of power marketing measurement training, there are problems such as measurement wiring discrimination inconvenience, drawing inconvenience, wiring display time consuming, resulting in the measurement wiring training is not in place. The article first of the three phase three line power meter and three phase four line power meter correct wiring mode and phasor diagram, and then a special tool for the vector analysis used in the training is designed, which can not only solve the above problems, but also replace the manual drawing of the vector map, which has a good practical effect on the power marketing measurement training, enables the students to learn the measurement wiring more intuitively.
Fraseologia dell’algherese: risorse e nuovi impulsi per la fraseografia e la fraseodidattica di una varietà linguistica minoritaria italiana

The Catalan of Alghero is poorly documented at a lexicographic level, and the number of phrasemes to be found in the dictionaries is small. So, where can such word combinations be found and how can they be included in dictionaries? The present article aims to answer these two questions, giving a first overview of the phraseography of diatopic varieties in Italy, followed by information on Algherese and the description of possible resources from which the relevant information could be drawn. This is followed by a sociolinguistic investigation showing the complexity of the topic and a few divergencies from Italian, of which one should take account in the phraseodidactics of Algherese.
Automatic colorization of natural images using deep learning

An approach based on deep learning for automatic colorization of image with optional userguided hints. The system maps a grey-scale image, along with, user hints” (selected colors) to an output colorization with a Convolution Neural Network (CNN). Previous approaches have relied heavily on user input which results in non-real-time desaturated outputs. The network takes user edits by fusing low-level information of source with high-level information, learned from large-scale data. Some networks are trained on a large data set to eliminate this dependency. The image colorization systems find their applications in astronomical photography, CCTV footage, electron microscopy, etc. The various approaches combine color data from large data sets and user inputs provide a model for accurate and efficient colorization of grey-scale images. Keywords—image colorization; deep learning; convolutional neural network; image processing.
Investigating the co-relationship between housing price and inflation by assembling wavelet based time-frequency analysis

The purpose of this paper is to use the wavelet transform context structures based on Granger causality analysis to investigate the correlation between housing prices and inflations in first-tier cities, namely Beijing, Shanghai, Guangzhou and Shenzhen. Wavelet analysis can be used for filtering, noise removal, multi-resolution time-frequency analysis, and other functions, especially for analyzing non-stationary signals. Results indicate that the relationship is generally positive but changes over time, displaying low to high-frequency cycles. Moreover, most of the situations that show a correlation between housing prices and inflations are that housing prices led inflations, which illustrate that housing prices are crucial to the economy.
PENGEMBANGAN MEDIA PEMBELAJARAN KAKLI (KARTU KWARTET LITERASI) PADA MATERI SUMBER DAYA ALAM

The product produced by this development research is a learning media in the form of a quartet card on Natural Resources material. This learning media product was created and designed with the aim that it can be applied as a teacher's tool in delivering material, literacy activities and as a source of independent learning by students. The purpose of this research is to produce a product for developing Kakli learning media (Quartet Literacy Cards) on Natural Resources material. This research is included in research and development (R&amp;D) using the ADDIE model (Analyze, Design, Development, Implementation, Evaluation) because it is seen as a suitable design model for the development of learning media in the form of this Literacy Quartet Card. The data collection instrument used in the study was a questionnaire (questionnaire). In this research and development, researchers conducted quantitative and qualitative data analysis. The results of the research conducted, it can be concluded as follows: The media of the natural resource material literacy quartet card is classified as very valid with a score of 83% for material validation, and for the validation of the natural resource material literacy quartet card media it is declared a valid category so that it has met validity criteria and can be used in schools, then categorized in the game media which is very feasible in the teacher response test and student response test with a score of 92% and 86.33%, which is above 81.25%
Load Balancing and Parallel Computation Model for Performance and Accuracy over the Cluster of Nodes

Cloud computing can be online based network engineering which contributed with a rapid advancement at the progress of communication technological innovation by supplying assistance to clients of assorted conditions with aid from online computing sources. It's terms of hardware and software apps together side software growth testing and platforms applications because tools. Large-scale heterogeneous distributed computing surroundings give the assurance of usage of a huge quantity of computing tools in a comparatively low price. As a way to lessen the software development and setup onto such complicated surroundings, high speed parallel programming languages exist which have to be encouraged by complex operating techniques. There are numerous advantages for consumers in terms of cost and flexibility that come with Cloud computing anticipated uptake. Building on well-established research in Internet solutions, networks and utility computing, virtualization et cetera Service-Oriented Architectures and the Internet of Services (IoS) have implications for a wide range of technological issues such as parallel computing and load balancing as well as high availability and scalability. Effective load balancing methods are essential to solving these issues. Adaptive task load model is the name of the method we suggest in our article for balancing the workload (ATLM). We developed an adaptive parallel distributed computing paradigm as a result of this (ADPM). While still maintaining the model's integrity, ADPM employs a more flexible synchronization approach to cut down on the amount of time synchronous operations use. As well as the ATLM load balancing technique, which solves the straggler issue caused by the performance disparity between nodes, ADPM also applies it to ensure model correctness. The results indicate that combining ADPM and ATLM improves training efficiency without compromising model correctness.
Full Modified Ordinary Least Square Analysis of the Relationship between New Technologies of Information, Financial Development and Growth in WAEMU Zone

This paper aims to study the relationship between financial development, information, and communication technology (ICTs) diffusion and economic growth by examining the effects of interactions between finance and ICT on economic growth. The study covers eight West African Economic and Monetary Union (WAEMU) countries and spans the period from 2000 to 2018. The empirical results, after applying the fully modified ordinary least squares (FMOLS) estimator can be generalized as follows. First, regardless of the financial development indicator used, the empirical results show that financial development negatively influences economic growth in the WAEMU. This counter-intuitive relationship may be related to many phenomena, but there are no clear explanations in the literature yet. Second, ICTs diffusion improves economic growth in the zone. This implies that WAEMU countries should strengthen their ICTs policies and improve the use of new information and communication technologies. Finally, the interaction between ICTs diffusion and financial development is positive and significant in explaining growth. This implies that the economies of the WAEMU region can only benefit from financial development once a level of ICTs development is reached.
Theoretical foundations of collaboration learning in the lessons

Currently, the school traditionally directs its main efforts towards teaching the specific content of curricula, mainly paying attention to subject-oriented (meaningful) knowledge. Learning about different approaches to teaching, collaborative strategies, including group learning, occurs spontaneously. An analysis of the works of general and special pedagogy and psychology showed that recent years have been characterized by increased attention to this problem. Thus, the purpose of this work is to consider the problem of teaching educational cooperation in the process of learning a foreign language. In accordance with the set goal, it is necessary to solve the following tasks in the work: Consider the concept of learning collaboration, Identify types of educational collaboration, Describe the approaches to the organization of educational cooperation.
A robust encryption scheme using RC4 And Arnold’s Chaotic Map

Recently, the internet becomes a worldwide source for transmission of information from one end to the other, whether it is video, audio, image, text, etc. Transferring images over the network is very risky, as any unauthorized person can do modifications to these images and may lead to big trouble. For secure transmission of these images over the internet with high security and confidentiality, it is necessary to convert the image into an unreadable format. To do this, there are various encryption techniques used for securing images. Amongst all the image encryption technique which is extensively used by researchers for secure and safe transmission of the image on the reliable network, RC4 and Arnold’s chaotic map are the techniques used for encryption of image. Our proposed paper aim is to represent a new encryption technique that combines RC4 algorithm and Arnold Chaotic map which is a chaotic map to propose a new algorithm and encrypt an image. The aim of using Rivest Cipher 4 algorithm is to enhance the confidentiality to encryption by generating key and Arnold Chaotic Map is used for confusion to change the image’s pixels. The efficiency of our proposed algorithm is evaluated using a Histogram analysis, Coefficient Analysis, and key Space Analysis. The achieved result of histogram analysis shows the same distribution trend of pixels before and after the encryption of an image. Further the proposed scheme is evaluated against various parameters (like NPCR, and entropy values) to check its resistance over differential attacks and the result shows values near to the ideal values.
Trusted Electronic Contract for Enabling Peer-to-Peer HPC Resource Sharing

With the growing need for HPC resource usage in Thailand, this study aims to foster the creation of an HPC resource sharing ecosystem based on available in-house computing infrastructure. The model of computing resource sharing based on blockchain technology is presented for bridging communication between multiple clusters of HPC systems. The use of blockchain technology allows states among HPC systems to be synchronized and extends capabilities in enforcing governing rules. A smart contract was deployed on the blockchain network to enable users to request computing resources. Upon a request being made, a matching scheme performs the automatic selection of a suitable cluster based on current cluster utilization data and distance from users. Since users and clusters are anonymized from each other, a trusted payment scheme and permission access control are presented to assure both parties. As the system leverages off-chined and on-chained data exchange to carry out the operation, the secure gateway is proposed to mitigate technical difficulty from the client’s perspective and ensure information is securely flowing to and from legitimate actors. The result of this work ensures HPC service providers can maximize the utilization of their resources and monetize idle computing time, while users can access demanded resources conveniently and pay at a reasonable price.
Inverted Classroom and Learning of Natural Sciences in High School Students in Times of Pandemic

The inverted classroom is a methodology that allows learning drivers to adapt efficiently, and in a multidisciplinary way, to the contents of the area we practice, to the objectives and to the abilities of the student, generating commitments from both the teacher and the student for their professional success. For the research, a quasiexperimental methodology was used with a student population of fifty young people of both sexes, with a control and experimental group, for whose execution four didactic procedures were carried out with their respective input-output evaluations. The analysis of variance (ANOVA) showed the permanent improvement in the learning of natural sciences with increasing trends (means) and decreasing trends (standard deviation); that is, better learning and the homogenization of the group. Studies on the subject have shown its effectiveness in learning processes and where positive reactions as well as reorientation of students are evident.
BANKING BLUEPRINT FOR THE CRYPTO WORLD

Due to the rapid development of entropy and connectedness technologies, numerous activities in our daily brio someone been merged online and they beautify solon stretched and statesman good. A Brobdingnagian growing in signal of online users has activated realistic language concepts and created a new acting phenomenon which is cryptocurrency to assist the business activities much as purchasing, marketing and trading. The use of realistic acceptance has transform distributed in many incompatible systems in recent age. Realistic money is not full limited and regulated hence most of the countries eff not admitted this nowness in their scheme activities. This report investigates virtually cryptocurrency mouth legality as shaft as tally responded in cost of regulations &amp; legislations towards crypto currencies to instruct a unclouded ikon of its combat on different laws in India in position to adjust it. The cryptocurrency activity has been described as radical due to the unceasing bailiwick phylogenesis and conception that the blockchain bailiwick provides. Guiding some to anticipate that this could be the incoming tread for the nominal taxon, right similar how fiat acceptance replaced gold. Cryptocurrencies were originally created to be a represent of savings or income for the unbanked, concentrate costs and force activity, for a effectuation of accumulation clearness and to remove financial intermediaries. It is undeniable that the cryptocurrency activity has created a change of opinions, as any appear to explore the marketplace advance time others judge the intellection of adopting this innovation bailiwick completely. This meditate focuses on the representation and intention to use cryptocurrencies. Swimming into previous poverty to be explored advance. A valued way was victimized to stitchery accumulation from 102 participants. The findings indicated that action and try prospect as the most authoritative variables for cryptocurrency acceptance, as people assay tendency as what benefits cryptocurrencies can furnish for them when they reason unable of using the innovative engineering. Phytologist may be shy of cryptocurrencies as they consider that trading these assets increases essay and requires lengthy and dear due industriousness. Withal, digital currencies can give umpteen benefits to business institutions and their customers.