Reviewerly/exHarmony huggingface dataset:
DIAGNOSA KEBUTUHAN GIZI PENDERITA PENYAKIT DEGENERATIF MENGGUNAKAN SISTEM PAKAR BERBASIS WEB

The increase of degenerative diseases. Degenerative disease is a disorder in which there is a decline in function or damage to body structure that occurs gradually. Some types of diseases that are included in the degenerative disease group include Diabetes and Hypertension. The main cause of the increased incidence and prevalence of degenerative disorders is changes in lifestyle and eating patterns that do not pay attention to the balance between intake and dietary needs and sedentary lifestyle. Improvements in lifestyle and diet can be done through the selection of nutrients that are adapted to the conditions of the degenerative diseases that he needs need the help of a nutritionist in determining a diet program or determining the diet. But not all people can meet an expert in nutrition to determine their nutritional needs due to several factors. To provide solutions to these problems, an expert system was created to determine the nutritional needs of degenerative sufferers by utilizing the field of Artificial Intelligence studies. With an expert system, the process for determining the status and nutritional needs of sufferers of degenerative diseases will be easier, because knowledge about nutrition has been adopted in this system. This expert system is used to determine the status and nutritional needs of sufferers of degenerative diseases using a web-based forward chaining method, the development of the system uses the eXtreme Programming method to accelerate the process of developing the system. With this system so that people can easily find out the status and nutritional needs of sufferers of degenerative diseases by providing food ingredient solutions recommended by nutritionists. Â  Keywords Â  : Degenerative, Nutrition, Expert System Â
RETRACTED: The Application of Innovation Mode in Building Engineering Management Based on Computer Technology

Abstract Buildings are one of the largest energy consumers in the world, and their energy consumption and greenhouse gas emissions account for one quarter to one third of the world’s total energy consumption. In addition, the building affects other areas far from its location, including river water, air quality and social traffic patterns. In China, more than 80% of new buildings are high energy consumption buildings every year, and more than 95% of existing buildings are high energy consumption buildings. At present, China’s energy consumption per unit floor area is more than 2-3 times that of developed countries. Through the corresponding computer technology application software, to create a simple building information model, architects in any stage of design, at any time, can easily evaluate the design scheme of the building, which is of great significance to the project management and construction of the building.
The Influence of Attributional Beliefs On Indonesian EFL Learners’ Reading Comprehension

This research investigated how Indonesian EFL learners attributed their successes and failures in reading comprehension and whether or not there was any correlation between attributional beliefs and EFL learnersâ€™ monitoring strategies in reading. The researchers distributed Attributional Beliefs Questionnaire (ABQ) and Reading Monitoring Strategies Questionnaire (RMSQ) to undergraduate students in the third semester (n=36) of a private university in Kupang, the capital city of East Nusa Tenggara (NTT) Province. The data were analyzed using Pearson Correlation scale. Six students were selected to be interviewed to obtain qualitative data. Based on the results, 56% of students attributed their successes and failures in reading to the internal factors (efforts and strategies) rather than the external ones (reading text and learning environment). There was a moderate and insignificant correlation between attributional beliefs and reading monitoring strategies with r=0.51. It indicated that students need to regulate themselves and navigate their learning based on their attributional beliefs or they would experience learned helplessness. This research offered two implications for the teaching of reading among Indonesian EFL learners. In order to gain a greater opportunity to experience more reading success, language teachers were recommended to introduce attribution concepts and implement all reading strategies to their students.
The Efficacy Of Mall Instruction In Tourism English Learning During Covid-19 Pandemic

The Efficacy of MALL Instruction in Tourism English Learning during COVID-19 Pandemic. Present study was a descriptive qualitative research aiming at finding the deeper insight about this the efficacy of Mobile Assisted Language Learning (MALL) instruction in English learning during COVID 19 pandemic from the point of view of the lecturers at Hinduism Cultural Tourism Study Program of STAHN Mpu Kuturan Singaraja. Specifically, the objectives of this study were to find out what language teaching activities that the students do in MALL based instructions; and to find out the effectiveness of MALL based instructions during COVID-19 pandemic from the lecturersâ€™ point of view. To ensure the validity of the data collected, this present study used the method of data triangulation by obtaining data from the main informant and being reviewed with the data collected from two secondary informants. As informants for the present analysis, three English lecturers were selected. The first informants were established as primary informants and the other two informants were listed as secondary informants. To collect the data from the informants, the Interview Guide was used. This interview guide was checked by two expert judges using face validity, resulting in a credible and ready-to-use interview guide as the study tool. The Miles & Huberman (1984) Interactive Data Analysis Model was used to analyze the data. Then, as the research methodology carried out, it was found that several categories of teaching activities by using Mobile Assisted Language Learning including the activities of listening, speaking, reading, and writing. Those English competences were taught by the lectures by utilizing mobile phone application so then the students could be able to master the target language anytime and anywhere. Specifically, by using Mobile Assisted Language Learning, the lecturers could provide teaching activities management, video conference teaching and learning activities, and sharing teaching materials (e-books, audio, and video). It was also found that the lecturers perceived that Mobile Assisted Language Learning (MALL) was beneficial during COVID-19 pandemic. It was because this MALL could give a better assistance to the lecturers as well as the students who could not be able to have a regular face-to-face classroom meeting. By using this Mobile Assisted Language Learning, the students and the lecturers could have an artificial classroom that they can interact each other. However, from this study, it was found that it there were many potentials of Mobile Assisted Language Learning which could not be optimized yet in the English instructional process occurred in Hinduism Cultural Tourism Study Program of STAHN Mpu Kuturan Singaraja. Those limitations mostly came from the lecturersâ€™ side, who were not ready in preparing a sophisticated Mobile Assisted Language instructions.Keywords: Mobile assisted language learning, tourism English
PROPOSED NOVEL BLOCKCHAIN MODEL FOR CHEQUE CLEARANCE IN BANKING SYSTEM

The main idea of this research is to apply Blockchain technology for cheque Processing system to reduce time for clearance of cheque and settlement.  The model is developed after analyzing existing system such as traditional cheque processing system and also various existing models for cheque processing using blockchain. We aim to propose new method for cheque processing with proper flow and saves memory in blockchain Network.The proposed model involves encoding and decoding techniques for distribution of cheque. The Cheque details are created using cryptography algorithms and stored in the form of transaction for further processing in a block of a Blockchain Network.
Survey of Data Cleaning and Image Recognition using Neural Networks

Abstract This paper reviews the existing developments of data cl eaning and image recognition using neural networks At present most of the work in image recognition is done by using more than one method. Neural networks t ake the advantage a nd show good improvement in recognition of images In t his work, the authors hav e discusse d their advantages over traditional methods. Keywords: Data cleaning, image recognition, data transformation, artificial n eural network
Application of Professional Standards in Organizations of Social Sphere

The article examines the generalized experience of the application of professional standards by organizations in the social service sector, as well as the experience of interdepartmental interaction in the social sphere in the context of the application of professional standards based on the results of a number of stud ies. They were organized jointly by the All-Russian Scientific Research Institute of Labor of the Ministry of Labor of Russia, as well as the All-Russian Scientific Research Institute of Labor of the Ministry of Labor of the Russian Federation in conjunction with the Moscow State Psychological and Pedagogical University. The studies were carried out through an online survey of public sector organizations on the application of professional standards, as well as an online survey of social service organizations on inter-departmental interaction in the social sphere in the context of the application of professional standards. Based on the results of the research, the main problems of the application of professional standards in organizations of the social sphere and the ways of their solution have been identified.
Faktor-Faktor Yang Mempengaruhi Rendahnya Minat Masyarakat Melaksanakan Shalat Berjamaah (Studi Kasus Pada Jamaah Masjid Al-Mannar, Bengkulu Selatan)

Al-Mannar Mosque is the oldest mosque in South Bengkulu. This mosque became the first Islamic broadcasting institution there. As the oldest mosque, it certainly has permanent worshipers and fanatics to carry out worship in that place. But the phenomenon that is happening at this time, the Al-Mannar mosque is empty of worshipers. This is certainly quite surprising because previously the oldest mosque had so many worshipers. Some previous studies only explain the efforts or steps in prosperity of the mosque or efforts to increase the interest of prayer in congregation. Research has not looked at the factors underlying the low interest of the community prayer as a source of problems. This type of research is qualitative research, with data collection tools such as interviews, observation and documentation. The data analysis with inductive techniques. The results of the study stated that there are several factors that cause the low community to carry out congregational prayers, including; the location of the al-Mannar mosque is less strategic, there are also many residents who are busy working, there are also residents who often go out of the area, many residents move their dwellings, there are also residents going out to catch fish leaving before dawn to return home at noon, busy repairing fishing gear and checking the boat if there is a shortage, the women are busy selling and salting fish, and also many new mosques have been erected.
Report calls for US-wide quantum internet

US government, academic and industrial scientists have laid out a blueprint for building a nation-wide quantum internet.
Developing a TQM Evaluation Indicators for Rural Tourism in Jordan

The study aims at developing a Total Quality Management model TQM indicator for small businesses in rural touristic businesses in Jordan including (accommodation, travel and services including accessibility, sites, local product information) to support rural planners for the implementation of sustainable tourism in the targeted area.To achieve this aim, the study has conducted four different types of surveys to assess the quality of a provided service from four different prospective, the customers, business owners, the mystery shoppers, and field visit by specialists from the team members.The respondents were asked to rate their opinion about services quality by select from a list which were measured on a five-point Likert scale, with "5" indicating "very satisfied" and "1" indicating "very dissatisfied.All questions were designed to measure how users, service providers, mystery shoppers, and quality control expert to interpret and evaluate the service quality and obtain insights that measure the service performance and perception against the intended service promise.The results revealed that the overall average of quality of the services ranked between poor and fair
RETRACTED: The Construction of College English Ecological Teaching Mode in the Era of Big Data

Abstract The teaching mode in the era of big data is based on the accurate analysis of data to form an ecological teaching mode so that college students’English level has been greatly improved.This paper mainly introduces the construction of College English ecological teaching mode in the era of big data.In this paper,the formulation of precision teaching plan in precision teaching is transformed into an optimization problem,and the basic ideas to solve the problem are described.This paper focuses on the optimal design of teaching mode from the perspective of learning time to stimulate the students’motivation to learn English.In this paper,the reinforcement learning method Q-1 learning is used to solve this multi-stage dynamic decision-making problem and find the optimal decision-making function.According to the optimal decision-making function,a targeted teaching scheme can be given to students with any characteristics and behavior.The experimental results show that under the teaching mode of big data age,college students’English level has improved significantly,their English scores have increased by more than 25%,and their class efficiency has increased by more than 46%.The teaching mode of big data age is the trend of future development.
Cyclic Variability In Object and Spatial Attention

Selective attention can be directed to locations, objects, or features. A large and growing literature – drawing on results from psychophysics and electrophysiology – suggests that the benefits of attention wax and wane over short time scales (e.g., several cycles per second). However, it is unclear whether different modes of attentional selection share similar temporal profiles. The work presented here was designed to address this question. In Experiment 1, participants performed a data-limited variant of the classic Egly, Driver, and Rafal (1994) object-based attention paradigm. Briefly, participants were shown two horizontally or vertically arranged rectangles and cued to the likely position of a peri-threshold target at one end of one rectangle. During invalid trials, the target could appear at the wrong end of the cued rectangle (same-object condition) or at the same end of the non-cued rectangle (different-object condition). To measure the temporal dynamics of object-based attention benefits, we systematically varied the stimulus onset asynchrony (SOA) between the cue and target, then plotted participants’ target detection performance as a function of SOA. Experiment 2 was identical to Experiment 1, with the exception that the two rectangles were replaced with four squares to mimic classic spatial attention paradigms (e.g., Posner, 1980) while eliminating object-based attention effects. In both experiments, we found that the benefits of selective attention varied over short time scales in the theta band (3-5 Hz). These results imply that different modes of selective attention rely on a common rhythmic mechanism.
Mouse and Keyboard Actions

The previous chapter covered Python installation and configuration with Selenium to automate test cases. The basic web browser commands that are necessary to run a test case in WebDriver were also reviewed. This chapter guides you through all the actions users tend to make with a web application using a mouse and keyboard.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN MENGGUNAKAN METODE LINEAR SEQUENCE PADA TOKO REJEKI PERKASA MOTOR PALOPO

This study aims to develop a sales application that can help the Palopo Shop Rejeki Perkasa Motor process sales data and stock items by applying a sequential linear method so that it can support the sales activities of the store. The stages in this study are divided into five, namely analysis and definition of needs, system design and software, implementation and unit testing, integration and system testing, and operation and repair. To obtain data and information that supports the implementation of this research, an application needs analysis is carried out. System design which includes system modeling is done using DFD (Data Flow Diagram) and data modeling using ERD (Entity Relationship Diagram), then implemented using Visual studio 2013 programming language and mysql as its database.
Seismic Soundoff

In this episode, host Andrew Geary speaks with SEG President Rick Miller to celebrate SEG’s 90 th birthday. Rick reflects on the milestones of the organization, the role of professional societies in 2020, how the digital transformation has impacted the field, and his future vision for applied geophysics. This episode traces how far the field has come, its impact on society, and future opportunities. Hear the full episode at https://seg.org/podcast/post/9162 .
RETRACTED: Research on the Impact of English Language and Literature on College Students’ English Acquisition Ability Based on Big Data Technology

Abstract In the era of big data, with the continuous development of English language and literature, it has gradually broken through the traditional teaching design. The renewal of the new model has promoted the development direction of students’ English competence in a full field of vision. This paper explores the main ways to improve English culture and competence of college students. From the perspective of acceptance effect, it investigates the attribution analysis of college students’ learning goals and learning methods based on big data technology. In addition, this paper explores the strategies of rationality teaching in college English based on English language and literature.
Vulnerability assessment and Disaster Prevention Adaptation Planning Strategies for Industrial Parks

&amp;lt;p&amp;gt;In recent years, lots of major disasters happened in the industrial parks. As a critical infrastructure, it become an urgent issue to tackle the disaster prevention and vulnerability assessment of the industrial parks. This study reviews the theory of vulnerability, regional resilience, disaster prevention system for industrial parks and related literature to establish the vulnerability assessment framework. Therefore, by utilizing the fuzzy Delphi method to screen the indicators in four dimensions such as physical, social, exposure and economic, and also the AHP expert panel to set the related weights and the correlation between their indicators. And, follow up with Dynamic ANP Process to extract the decision-making structures in 2019, and 2030. In total, 63 industrial parks were evaluated by this evaluation framework and categorized by different vulnerable types. Therefore, responding disaster adaptation strategies were proposed for different parks as a reference for government.&amp;lt;/p&amp;gt;
Face Recognition Pada Smart Mirror Dengan Metode Algoritma Principal Component Analysis (pca)

Abstrak Saat ini, bukan hanya smartphone/komputer yang dapat terkoneksi dengan internet, namun berbagai macam benda nyata juga dapat terkoneksi dengan internet, diantaranya: rumah, mobil, tv, mesin industri, dan sebagainya. Di dunia bidang IT, konsep ini telah dikenal dengan istilah Internet Of Things (IoT). Suatu perangkat keras tertanam dalam benda nyata tersebut sehingga menjadi benda pintar dan dapat tersambung dengan internet. Namun ketersediaan perangkat pintar yang sudah ada, belum mampu di efisienkan hanya kedalam sebuah perangkat. Oleh karena itu, sistem yang dirancang dalam penelitian ini adalah Smart Mirror. Pada Buku TA ini telah dirancang dan dibuat sebuah prototipe Smart Mirror ini diharapkan dapat mengefisienkan dengan menampilkan musik, jam, berita, dan cuaca. Smart Mirror ini dibuat dengan mengaplikasikan Raspberry pi, Monitor, Kamera Cermin 2 arah, dan juga kayu sebagai frame dengan menggunakan metode PCA (Participal Component Analysist) dan menggunakan tools python yang dirancang ke dalam Smart Mirror. Dan hasil dari penelitian ini, smart mirror mampu mendeteksi dan mengenali wajah pengguna dan mengoperasikan smart mirror dengan perintah suara. Kata kunci : Kamera, Raspberry Pi, Smart Mirror, Face Recognition, PCA Abstract Nowadays, Nowadays, not only smartphones/computers that can be connected to the Internet, but a variety of real objects can also be connected to the Internet, including: Home, car, TV, industrial machinery, and so on. In the World Of IT field, this concept has been known as the term Internet Of Things (IoT). A hardware embedded in the tangible object becomes a smart object and can be connected to the Internet. But the availability of existing smart devices has not been able to be efficient only on a device. Therefore, the system designed in this research is Smart Mirror. The TA book has been designed and created by a Smart Mirror prototype to be expected to streamline by showcasing music, clocks, news, and weather. These Smart mirrors are made by applying Raspberry Pi, Monitor, 2-way mirror camera, and also wood as a frame using the PCA (Participal Component Analysist) method and using Python tools designed into the Smart Mirror. And the result of this research, smart mirrors are capable of detecting and recognizing user faces and operating smart mirrors with voice commands. Keywords: Camera, Raspberry Pi, Smart Mirror, Face Recognition, PCA
Research on Video-based Moving Vehicle Detection Technology

Abstract Moving vehicle detection technology has been used more and more widely in monitoring traffic conditions such as vehicle flow, vehicle speed, traffic accidents, and escape from violations. The most commonly used methods of moving vehicle detection technology include the inter-frame difference method, the background difference method, and the optical flow method. The inter-frame difference method subtracts the images of two or three adjacent frames, the pixel whose brightness change does not exceed the threshold value is considered as the background, and the pixel whose brightness change exceeds the threshold value is considered as the foreground; The background difference method uses a difference comparison between the current image and the background model to realize the moving vehicle detection; The optical flow method is to construct an optical flow field by changing the brightness value of each pixel point in an adjacent frame in a video image, and realize the detection of a moving vehicle through a moving field of the moving vehicle. The frame difference method can detect the contour edge information of a moving vehicle, and the detection result is less noisy; the background difference method can detect a more complete moving vehicle, including not only the contour information of the moving vehicle, but also the connected area inside the moving vehicle; The optical flow method can detect moving vehicles, but can only obtain the contour edge information of moving vehicles, and there are large voids in the interior of moving vehicles. In short, these methods can realize the detection of moving vehicles, but there are still some problems. With the research and implementation of improved algorithms, the detection technology of moving vehicles will be more and more widely used.