Reviewerly/exHarmony huggingface dataset:
Intention to use Technology to purchase coffee

This research aims to develop mobile application for ordering coffee to help increase convenience and reduce the waiting time from the coffee shop. It a was also used the Android platform for developing applications as a tool to help reduce time to wait for coffee orders. The behavior of the customer will send the customer information to the database using MySQL as the database management system and the coffee makers will follow the customer’s order from their applications. Customers bring their orders at the store and pay for coffee. Then the coffee makers will progress to make coffee and send coffee to customers. The purpose of this research is to investigate how technology can help customers to purchase coffee based on mobile application which customers can make new order, check order status, track order and register member. The research method was the model of System Development Life Cycle (SDLC) and relational database. The questionnaires were used to collect data about behaviour intention to use mobile payment. The results found that women often buy coffee in the morning before they go to work and their ages are between 23 and 30 years old.
ПРОБЛЕМЫ ИСПОЛЬЗОВАНИЯ ПРИКЛАДНЫХ ЗАДАЧ В ОБУЧЕНИИ СТУДЕНТОВ - МАТЕМАТИКОВ

Currently, in teaching students mathematics, it is especially important to show the practical significance of this discipline in solving problems that arise in reality. The goal of realistic mathematics is fun and useful learning through applied contextual problems. However, teachers face an acute problem of selecting and classifying applied problems when students study the sections of mathematical analysis, probability theory, mathematical statistics, algebra and geometry. It is especially important to classify tasks with applied content by their level of complexity. This paper describes the most effective, according to the authors, methodological approaches to the use of applied problems. Along with theoretical knowledge, it is necessary to develop students' practical skills to create their own applied tasks.
Classification of Diseases of The Urinary System using an Expert System

Purpose – Develop and use an Expert System (ES) to classify diseases of the urinary system.Design/methodology/approach – Computational experiments were divided into three phases, as described: Phase A: Database selection: We searched for a database that contains information on diseases of the urinary system. Phase B: Development and Implementation of the Expert System: Rules and variables were planned for the correct data manipulation, and the Expert System was created by implementing the rules and variables. Phase C: Validation of the Expert System: Expert System validated by specialists.Findings – The Expert System was validated by a general practitioner and, as such, was successful while carrying out the tests and results. In conclusion, the Expert System was generated to classify two diseases (Cystitis and Nephritis) of the urinary system. This was validated by a general practitioner who confirmed the accuracy of the information within the system developed and aimed of assisting the field of medicine for a specific organ.Originality/value – The development of the present work has made it possible to assist the specific diagnosis of two diseases of the urinary system. With the assistance of the Specialist System, professionals can be more confident when diagnosing diseases of the urinary system in patients.Keywords - Urinary System; Expert Systems; Artificial Intelligence; Support to The Diagnosis.
A survey of Datasets, Data Classification Algorithms, and Automatic detection of mental disorders Systems in Psychological Drawing Test

Handwriting, drawing, or patterns can be used to detect cognitive and personality disorders. Automating psychological tests can help to detect mental disorders early and prevent it from getting worse and with irreversible consequences. Automation of psychological drawing tests requires reviewing datasets of psychological drawing tests, reviewing image classification algorithms as an essential step, and finally reviewing the scoring of tests according to the standards. In this study, the recent researches in the field of datasets of drawing and handwritten tests, various methods of classification of drawing tests, scoring techniques to the tests and challenges ahead have been thoroughly investigated. So far, no such comprehensive research has been conducted on datasets, classification algorithms, and automatic detection in psychological drawing tests. Also, a comprehensive comparison of how datasets are collected, drawing test classification methods, test comparison techniques with the standards, advantages, and disadvantages of each method is presented. Challenges in the process of automatic diagnosis in psychological drawing tests are also discussed. This study aims to identify fast, accurate methods with low processing load and high reliability. In this study, by comparing the presented methods, it is concluded that in classifying images and detecting mental disorders, neural network algorithms have higher accuracy than machine learning algorithms, but are slower.
New Lossless Compression Algorithms for Transport Images

The article considers the relevance of the development of lossless image compression and transmission algorithms and their application for creating transport video surveillance systems. A brief overview of lossless transport image compression methods is provided. We propose a method for compressing transport plots based on the pyramid-recursive method of splitting the source image into polygons of various shapes and sizes. We consider two new algorithms for implementing the proposed method that are fundamentally different from each other: with a transition to the spectral region and without a transition to the spectral region of the original signal to ensure lossless compression. The results of testing various well-known lossless compression algorithms are analyzed: series length, Huffman, and arithmetic encoding, and compared with the proposed algorithms. It is shown that the proposed algorithms are more efficient in terms of compression ratio (2—3 times) compared to the known ones, while the computational complexity increases approximately by more than 3-4 times.
Case Study #2: CISO vs. CSO: The View from West Africa

Security leadership and management are both part of the interwoven tapestry of an organization, and they can be thought of as threads running through different sections of the fabric, including the risk management and profit-generating sections. But they are distinct threads, each with their own shade. As a professional in the security industry based in Nigeria, the author has experience in the public, private, and corporate sectors as both a manager and a leader. She has found that the typical security management function is rule-based and profitability-driven, while typical security leadership is people-centered and sustainability-driven. This implies that while a leader is an effective and influential manager, a manager is not always an effective leader. Despite the distinction, organizations need both functions to succeed. Multinational corporations have optimized processes with a matrix leadership structure of different disciplines and teams with enough diverse skills and expertise to tackle specific business challenges. These factors influence the effectiveness of the respective security programs.
Analisis Karangan Cerita Pendek Siswa Kelas IV SDN Cilincing 05 Kota Jakarta Utara pada Pembelajaran Bahasa Indonesia

Understanding the structure of a short story composition is very important for elementary school students. Through this structure, it will greatly help students in the future in world education because the structure of an essay will bring students to understanding written work. So far, students in making short story essays have ignored the intrinsic elements, it is very unfortunate if there are ideas to make essays but they are not arranged systematically. Through the learning material to make short stories, it is hoped that students can always pour their thoughts into a written work, but in fact, students can understand the material that is currently obtained because of the current learning system through long distances. This research is here to analyze the short story essays of the fourth-grade students of SDN Cilincing 05, North Jakarta City. This research will focus on the intrinsic elements contained in students' short story essays, including the theme, the plot of the place, the timeline, and the mandate contained in the short story essay written by students. Then the data goes through the data reduction process, traffic is in the form of tables in order to make it easier for understanding in understanding the content of the research. The data that has been obtained is then analyzed by researchers using content analysis research methods. Content analysis is certainly the right method for this research because content analysis reveals the meaning of a text. From the research that has been done, teaching materials are obtained to write short stories by paying attention to the intrinsic elements to make it easier for students to make essays
KLASIFIKASI TANAMAN BIDARA BERDASARKAN TEKSTUR DAUN MENGGUNAKAN METODE GRAY LEVEL CO-OCCURANCE MATRIX (GLCM) DAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)

Bidara is a type of fruit-producing plant that grows in dry areas. Based on the species, there are four types of plants bidara scattered in several places, namely the Bidara Arab (Ziziphus spina- christi), Bidara Upas (Merremia mammosa Hall.f.), Chinese Bidara (Ziziphus mauritiana Lam.), and Sea Bidara (Strychnos lucida R.Br.). Many people are looking for this plant to be cultivated, for daily consumption, and traded for treatment. However, there are still many people who are not well informed about how to distinguish between these plant species. With this problem, a solution is needed in order to minimize the error rate in distinguishing the types of species in bidara plants. The use of image processing can help in observing the texture of the leaves of bidara. In this study, a classification model will be made which functions to distinguish the types of bidara plants using the Support Vector Machine algorithm. Meanwhile, the extraction of texture features on bidara leaves will be observed using the Gray Level Co- occurrence Matrix method. The results of the research that have been carried out have produced a performance that does not disappoint in the detection of bidara plants. With the use of the Polynomial Quadratic SVM kernel, the best average obtained results were 84% accuracy, 92% precision, and 79.67% recall.
Designing Unicode-compliant Indic-script based Institutional Digital Repository with special reference to Bengali

Local languages based information storage and retrieval system is essential for any online digital repository system. This paper reports the development of an interface in Bengali that allows users not only browsing and searching Indic-script based documents but also allows administrator performing various system level operations. This Bengali-script based information representation and retrieval (IRR) system viz. BURA (Burdwan University Research Archive) has been developed using different open source software (OSS). It provides insights into important factors for building successful multilingual digital libraries. The suggested strategies may help digital library developers to design appropriate multilingual information access services in other languages. Current solutions and plans for future work are also described.
Μελέτη της επίδρασης παραμορφώσεων στο επαγόμενο συναίσθημα κατά την ακρόαση μουσικής

In this thesis, the effect of various types of acoustic distortions on the emotional response of the listener while listening to stereo music pieces is studied. Specifically, the addition of high frequency, low frequency and white noise, the high-pass and low pass filtering and the conversion from stereo to dual mono are studied. The evaluation was based on the valence/arousal dimensional model represented on a plane formed by the axes of pleasure / displeasure horizontally and arousal / relaxation vertically. Analysis of the results of the listening tests on a sample of 26 listeners shows that the pleasure by listening to a piece of music is significantly reduced by the addition of white and high frequency noise. A reduction in pleasure is also observed when the low frequencies of the track are attenuated and when the audio signal is monophonic. On the contrary, the addition of low frequency noise and low-pass filtering of the audio signals, there is no systematic change of the induced pleasure in relation to the original track. In addition, there was no systematic change in the arousal of the listener while listening to the degraded tracks, comparing to the corresponding non-distorted music tracks.
LibGuides: FAB 230: Gastronomy Essentials: How to Create a Comment Card Using Google Forms

Resources to support the course: Hands-on learning experience emphasizes the principles of kitchen operations, basic cooking techniques, food science, safety and sanitation, recipe conversion, and food cost calculations. Communication, problem-solving,
Deep Understanding of Technical Documents: Part I. Diagrams Structural-functional Modeling

The automatic deep understanding of technical documents is a privilege only to humans so far, since it requires knowledge coming from many different modalities, like text, diagrams, formulas, tables, graphics, pictures, etc. Thus, in response to this very large and complex challenge, this paper investigates the synergistic association of only two modalities, the diagrams as main modality and natural language text as an assistive one in an effort to combine them together for deeper understanding of technical documents. In particular, it presents the formal modelling of a hybrid methodology capable to automatically extract the structural and functional behavior of a system described in a technical document without the use of original code. By system here we mean the block diagram(s) of a system. The methodology presented here is based on a formal language, called Synergy, to efficiently represent and synthesize the structural features of the system, and convert them into a Stochastic Petri-nets (SPN) model as for expressing the functional behavior of the understudy system. The overall methodology will contribute to an automatic deep understanding of technical documents (TD) without the main involvement of human users.
LibGuides: Joys Atlas_Aaliyah Bond: Home

This LibGuide was created to showcase Earth's natural beauty and the wonders all around us.
On the Relation between Iranian EFL Teachers’ Sense of Professional Identity and their Responsibility

Responsibility has always been one of the major concerns of teachers and those who are involved in the teaching learning process. This is the way, since, if the sense of responsibility is improved and maintained in teachers, almost any other aspect of the teaching and learning environment would be considered safe. Therefore, the researchers tried to look for the possible relation between language teachers’ sense of responsibility and their professional identity. Thus, a group of 100 EFL teachers from language schools and different universities took part in the study. Two questionnaires which were previously proved to be valid and reliable were used as the instruments in this study. Regression was applied for the analysis of the data and the results indicated that there was a significant relationship between teachers’ professional identity and their responsibility. More specifically, it was revealed that there was a strong and positive relationship between teachers’ responsibility and motivation as one of the indicators of teachers’ professional sense of identity.
The Ability in Using Adjective Clause in Writing Narrative Paragraph at Grade XI Students of SMA Negeri 1 Siantar

This study is about the ability in using adjective clause in writing narrative paragraph at gradeXI students of SMA Negeri 1 Siantar. The problem of this thesis is whether the students are able or notin using adjective clauses in writing narrative paragraph. The writer makes the hypothesis that thestudents are able in using adjective clauses and the students are unable in using adjective clauses inwriting narrative paragraph. The population of this research is made up of grade XI students. The resultof the test comes from the students by giving them the test as the instrument. Most of the students areunable in using adjective clauses in writing narrative paragraph.Key Words: Adjective Clause, Narrative Paragraph, Writing, Students
Conditions for effective implementation of innovative activities in a preschool educational organization

The article addresses issues such as the effective conditions for the implementation of innovative activities in preschool education and their content. The ongoing seminars were devoted to identifying the optimal forms of interaction, developing the content of activities that would enrich the knowledge of parents on the issues of psychosocial development of the child. The effectiveness of the work, expressed in the intermediate results of monitoring, was coordinated by constant and purposeful psychological and pedagogical support of the participants of the innovation project. During the implementation of the innovation project, constant monitoring of the results of innovation activities was carried out. The effectiveness of the work, expressed in the intermediate results of monitoring, was coordinated by constant and purposeful psychological and pedagogical support of the participants of the innovation project.
Corrections to “Risk Analysis of Cloud Sourcing in Healthcare and Public Health Industry”

In above article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , reference [11] is incorrect as the conference article had not been published in full until 2019. The correct reference is cited here as <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> . Therefore, the sentences in the article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> with reference [11] should be cited <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> in this article as “When the data are stored in a centralized location and are transmitted by applying symmetric data encryption techniques, the deployment and maintenance costs will go beyond cost tolerance thresholds <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> ,” “Since cloud computing signifies a comparatively novel computing representation at every level, like applications, hosts, network, and data, that in turn raises the issue of the application safety to shift toward cloud computing <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> and <xref ref-type="bibr" rid="ref3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[3]</xref> ,” and “However, this definition is not accurate in the sense that, if the normal operation is susceptible to eavesdropping, in this case, the normal operation of the organization must be restricted <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> .”
A MANFAAT PEMBERIAN JUS BUAH BIT PADA IBU HAMIL DENGAN ANEMIA TERHADAP PENINGKATAN KADAR HEMOGLOBIN DI WILAYAH KERJA PUSKESMAS KEC. JATINEGARA DAN PUSKESMAS KEC. KRAMAT JATI JAKARTA TIMUR TAHUN 2019

BENEFITS OF GIVING BIT FRUIT JUICE IN PREGNANT WOMEN WITH ANEMIA TO IMPROVING HEMOGLOBIN LEVELS Irwanti Gustina1, Mella Yuria R.A 2, Putri Sarah Dita3* D3 Midwifery Study Program at Binawan UniversityEmail: iragustina80@gmail.com  ABSTRACT  Introduction: Anemia in pregnancy due to iron deficiency because an increase in blood volume results to be blood thinning so that hemoglobin levels decrease and anemia occurs. Beetroot are one type of food that is recommended for consumption by pregnant women with anemia because they contain zink and folic acid. Method: This research is a quasy experimental study with a non-equivalent control-group design. The study was conducted on 40 pregnant women with anemia which were the experimental group and the control group. Results: As many as 40 pregnant women respondents with anemia were in the second trimester of pregnancy (57.5%), the highest number of pregnancies (parity) were multipara (57.5%), the education level of the majority of respondents were at the high school level (57.5% ), and the level of knowledge of most respondents in the good category (85%). The significant conclusion between beetroot juice administration on the increase in Hemoglobin levels of pregnant women with p value less than 0,001. Discussion: with the relationship between drink beetroot juice and the increase in Hemoglobin levels for pregnant women, it is expected that the Primary Health Care will educate pregnant women about beetroot juice that can be consumed to increase Hemoglobin levels. Key Words; Anemia; Hemoglobin; Beetroot
A Planning Pipeline for Large Multi-Agent Missions

In complex multi-agent applications, human operators are often tasked with planning and managing large heterogeneous teams of humans and autonomous vehicles. Although the use of these autonomous vehicles broadens the scope of meaningful applications, many of their systems remain unintuitive and difficult to master for human operators whose expertise lies in the application domain and not at the platform level. Current research focuses on the development of individual capabilities necessary to plan multi-agent missions of this scope, placing little emphasis on the integration of these components in to a full pipeline. The work presented in this paper presents a complete and user-agnostic planning pipeline for large multiagent missions known as the HOLII GRAILLE. The system takes a holistic approach to mission planning by integrating capabilities in human machine interaction, flight path generation, and validation and verification. Components – modules – of the pipeline are explored on an individual level, as well as their integration into a whole system. Lastly, implications for future mission planning are discussed.