Reviewerly/exHarmony huggingface dataset:
A Case Based Reasoning System For Recommendation Of Restaurant In Jimbaran Using K-Nearest Neighbor

Culinary is one of the favorite businesses today. The number of considerations to choose a restaurant or place to visit becomes one of the factors that is difficult to determine the restaurant or place to eat. To get the desired place to eat advice, one needs a recommendation system. Decisions made by the recommendation system can be used as a reference to determine the choice of restaurants. One method that can be used to build a recommendation system is Case Based Reasoning. The Case Based Reasoning (CBR) method mimics human ability to solve a problem or cases. The retrieval process is the most important stage, because at this stage the search for a solution for a new case is carried out. The study used the K-Nearest Neighbor method to find closeness between new cases and case bases. With the selection of features used as domains in the system, the results of recommendations presented can be more suggestive and accurate. The system successfully provides complex recommendations based on the type and type of food entered by the user. Based on blackbox testing, the system has features that can be used and function properly according to the purpose of creating the system.
La innovación tecnológica (TIC y TAC) en una escuela de educación primaria

espanolEn el siglo XXI el uso de la tecnologia es parte de la vida diaria, cada segundo se crean bienes y servicios que permiten una mayor adaptacion al entorno. Este desarrollo tecnologico ha permitido tener acceso a diferentes dispositivos moviles, tabletas electronicas o computadoras, asi como a las diversas plataformas y redes que estan relacionadas a la utilizacion del Internet. Las TIC (Tecnologias de la Informacion y Comunicacion) y TAC (Tecnologias del Aprendizaje y del Conocimiento) se han convertido en herramientas de suma importancia en la vida diaria del ser humano, le proporcionan un gran mundo de informacion y un medio de comunicacion que traspasa barreras, permitiendole lograr un avance en su nivel cultural, de tal manera que se puede estar conectado desde cualquier lugar del planeta y conocer lo que sucede de extremo a extremo, asi mismo, no se puede descartar que estos avances han logrado influir en el ambito educativo principalmente. EnglishIn the 21st century the use of technology is part of daily life, every second goods and services are created that allow a greater adaptation to the environment. This technological development has allowed access to different mobile devices, electronic tablets or computers, as well as to the various platforms and networks that are related to the use of the Internet. ICT and TAC have become very important tools in the daily life of the human being, they provide a great world of information and a means of communication that transcends barriers, allowing him to achieve an advance in his cultural level, in such a way that can be connected from anywhere on the planet and know what happens from end to end, likewise, it can not be ruled out that these advances have managed to influence the educational field mainly.
USE OF VIDEOS FOR THE PREPARATION OF LABORATORY PRACTICES IN THE TEACHING OF MATERIALS SCIENCE AND MATERIALS FOR CONSTRUCTION

The COVID-19 pandemic has exposed many inadequacies in HEA (higher education), such as the computers needed for online education, the supportive environments needed to focus on learning, up to the misalignment between resources and needs. Although face-to-face lectures have been replaced with online learning with some success, it has not been so easy in the case of subjects that require experimental practices, such as Chemistry or Materials Science.In the department of Chemical and Environmental Engineering of the University of the Basque Country, Euskal Herrko Unibertsitatea, UPV/EHU, professors who teach in degrees in Engineering and Construction, have developed videos on laboratory practices of the subjects Chemistry and Science of the Materials. The videos are shown to the students before doing the lab practice. Besides, in these times they have served to the confined students for knowing the practices that were carried out in the lab. In this work, the tools that have been used to make the videos and the results of the use of them in the teaching of Materials Science and Construction Materials for laboratory practices will be shown.
Peran Taman Baca Rumah Inspirasi dalam Mewujudkan Literasi Informasi pada Anak-anak di Kelurahan Bungkutoko

The purpose of this research is to find out the role of inspiring home reading parks in realizing information literacy skills for children in Bungkutoko Village. This research method is descriptive qualitative with descriptive method. The technique of determining informants is done by purposive sampling or determination directly by researchers to be informants, data collection is done through observations and interviews in the Community Reading Park Of Rumah Inspirasi Bungkutoko VillageThe results of this research show that, the Community Reading Park Rumah Inspirasi in Bungkutoko Village as one of the Community Reading Parks in Southeast Sulawesi participated in realizing information literacy in children consistently and forming children's personal to be confident. Of the four indicators have been well applied in terms of information, where in this study home volunteers provide inspiration information that children need. Both serve as places of expanding insight and knowledge in this inspiring home volunteers providing reading material that suits children. The third serves as an educational entertainment place in this indicator usually children play while learning for example such as playing guessing numbers and letters, the fourth serves as a coaching character and moral indicators discuss about the importance of shaping children's character and that is where we must also introduce to children the importance of preserving culture, preserving culture and others. In the sense that the park read inspiring houses in Bungkutoko Village is very helpful for the community in the area especially children who must be met their needs by providing educational reading materials so that the literacy of information he gets is more widespread.Key Words: Role, Garden Read House Inspiration, Information Literacy
CONCERTMASTER'S MULTIFUNCTIONAL ACTIVITIES IN THE DOMRA CLASS

The article is dedicated to theoretical examination of psychological and pedagogical qualities and basic professional skills of a concert pianist. The complete musical creativity of a concert pianist assumes achieving the artistic result and creation of a qualitatively new product in any area of musical art. In this regard, the article reveals the forms and particularities of performing collaboration at the special instrument class; examines the basic functions of the interaction between the subjects of the pedagogical process; it highlights the problems of intensifying the creative work on a piece of music related to the search for concrete artistic means for disclosing the composer's intentions. It is emphasized that the musical ensemble requires communication under the condition of coordinated understanding of different parts and ability to achieve a common goal through joint efforts. Direct and efficient contact occurs during the implementation of an interpretation plan, joint musical experience while solving a creative problem. Depending on the student's endowment various traditional subject forms and methods of work in the special instrument class are considered. Undoubtedly, the mastery of the concertmaster requires from the pianist versatile musical and performing abilities, artistic skills, acquaintance with all musical instruments. The success of joint playing depends on creative activity, emotional responsiveness, richness of imagination, initiative, flexibility of performing talent and creative fantasy of each partner.
Polyclinic Visitor Pattern Discovery Using Apriori Algorithm

Living in an information era, the presence of data is super important. With the data exponentially grows from decades to decades, it reflect the old saying that people today are so rich with data yet so poor on information. To dissect the information that contained within the large amount of data, a method is introduced called “Data Mining.” Data mining is a process of retriving a unique, unseen, and valuable information/insight from the data. Data mining comes with a lot of methods branches, one of those is pattern analysis, or also known as “Association Rules”. With the help of Association Rules, people can discover the relational pattern within the data, so people can make the best decision on the period of time. In this study, the writer is implementing Apriori Algorithm (one of the Association Rules algorithm) to see the pattern of a polyclinic visitor.
Convergence of the Algorithm

The purpose of this chapter is to prove the convergence of the algorithm. It is shown that the evolution of the maximum distance among the trial points and the local trial points tend to zero. For continuous and lower bounded functions, the two-level random search algorithm is convergent to a point for which the function value is smaller or equal to the value of the minimizing function in the initial point.
Convolutional Neural Network with Asymmetric Encoding and Decoding Structure for Brain Vessel Segmentation on Computed Tomographic Angiography

Segmenting 3D brain vessels on computed tomographic angiography is critical for early diagnosis of stroke. However, traditional filter and optimization-based methods are ineffective in this challenging task due to imaging quality limits and structural complexity. And learning based methods are difficult to be used in this task due to extremely high time consumption in manually labeling and the lack of labelled open datasets. To address this, in this paper, we develop an asymmetric encoding and decoding-based convolutional neural network for accurate vessel segmentation on computed tomographic angiography. In the network, 3D encoding module is designed to comprehensively extract 3D vascular structure information. And three 2D decoding modules are designed to optimally identify vessels on each 2D plane, so that the network can learn more complex vascular structures, and has stronger ability to distinguish vessels from normal regions. What is more, to improve insufficient fine vessel segmentation caused by pixel-wise loss function, we develop a centerline loss to guide learning model to pay equal attention to small vessels and large vessels, so that the segmentation accuracy of small vessels can be improved. Compared to two state-of-the-art approaches, our model achieved superior performance, demonstrating the effectiveness of both whole vessel segmentation and small vessel maintenance.
Cryptocurrencies: A Legal Regulatory System

Abstract. A system that allows you to easily regulate the cryptocurrency market and influence it thanks to the classification given by their scalability. The opportunity to be included in a different table will push programmers to adapt to the legislation. It will no longer be the right to have to adapt to information technology.
A Hybrid Segmentation Approach for Detection of Suspicious Regions in Digital Mammogram

In this research, a hybrid segmentation technique has been put forward to identify suspicious regions on digital mammograms based on Expectation Information Measure. The proposed algorithm measures different forms of mammograms (fatty, fatty-glandular and dense glandular) on the images from the mini-MIAS (Mammogram Image Analysis Society database)). To exhibit their efficacy, the suggested approach is contrasted with various segmentation strategies such as Expectation Maximization and Maximum Entropy Threshold. In the identification of suspect areas, the experimental findings on mammography images showed efficacy. This research can be part of the creation of a decision that is computer-aided (CAD) diagnosis to detect breast cancer early on.
A genetic algorithm for solving large scale global optimization problems

Abstract There are many problems in the real world that can be modeled as large scale global optimization problems. Usually, large scale global optimization problems are global optimization problems where the dimensions are greater than or equal to 1000. In this research, we propose a genetic algorithm that can be used to solve large scale optimization problems with dimensions up to 100000. To measure the capabilities of the proposed genetic algorithm, we use five different test functions. Based on the results obtained, it can be inferred that the proposed genetic algorithm can find a good solution in a fairly short time.
Desaın Penerapan Cloud Technology Sebagaı Infrastruktur Kota: Case Study Kota Batam

In the development of cloud technology, it has many advantages compared to conventional systems. Cloud Technology is an online-based data storage and data sharing service that relies on the internet to organize and manage data. The solution to the problem of implementing a cloud based infrastructure in Batam is using the NDLC (Network Development Life Cycle) method which includes the stages of analysis, implementation, monitoring, simulation, design, and management. The result of this application qill be a Cloud based technology system which can build infrastructure in the city of Batam which is much better in terms of data sharing by using access rights so that only certain people have access to data which will ensure data security
E-learning is neither good or bad, nor is it neutral. Some thoughts on the effects of COVID-19 in education

COVID-19 pandemic is transforming today's societies. And the field of education is one of the most affected by the sudden arrival of virtual education due to the quarantine measures. In this context, digital devices have been questioned as facilitators of the implementation of market and privatization measures, but also as the actors that have made education possible at this time. This work is an essay that links the Actor-Network Theory to the analysis of the current controversy on virtual education, with the aim of complexing educational policy decision-making so that it can consider the different actors, experiences and contexts involved in this novel situation. © 2021 Universidad de Valladolid. All rights reserved.
관계와 타자성 탐구의 시학 - 이은봉론

Lee’s Buddhist world view functions as a mental and strategic phase regulating poetic imagination. His Buddhist world view is recognized as an alternative paradigm that can replace western’s instrumental nature, human-centered, and reason-centered values. In this context, Lee’s poetry has the meaning of searching for a paradigm of alternative reason for the modern order. This is because it reflects on the reflection of the in strumentalization of modern reason, that is to say, reflection on the true relationship between the self and the world.Lee’s poetry critically reflects the human-centered instrumental reason and the mechanistic world view of science and technology. He explores alternative propositions to overcome the values of humanism in modern times through the Buddhist world view. Through this reflective reflection, I deny and criticize the dichotomous system of reason and the oppressive order of modern civilization. And the attitude to overcome the contradictions and absurdities of reality in the form of overturning and violation.Lee’s poetry can be seen as an attitude to overcome the contradictions, absurdities, oppression and deficiency, alienation and division of civilization which ultimately brought about the view of modern world. This attitude is a poetic struggle of resistance and escape to reach a new world. For example, it can be understood as the imagination of escaping to the world of hope while resisting the negativity of the experiential world. The imagination of escape has a meaning as resistance, a reflection awareness of the modern order and civilization, the fallen desire and customs of the fetish, and the crisis of life. Therefore, relationship poetics based on Lee Eun-bong’s Buddhist imagination has a character as a critical alternative proposition for modern society.
Co-Head Pedestrian Detection in Crowded Scenes

Pedestrian detection is an essential but challenging task in computer vision, especially in crowded scenes due to heavy intra-class occlusion. In human visual system, head information can be used to locate pedestrian in a crowd because it is more stable and less likely to be occluded. Inspired by this clue, we propose a dual-task detector which detects head and human body simultaneously. Concretely, we estimate human body candidates from head regions with statistical head-body ratio. A head-body alignment map is proposed to perform relational learning between human bodies and heads based on their inherent correlation. We leverage the head information as a strict detection criterion to suppress common false positives of pedestrian detection via a novel pull-push loss. We validate the effectiveness of the proposed method on the CrowdHuman and CityPersons benchmarks. Experimental results demonstrate that the proposed method achieves impressive performance in detecting heavy-occluded pedestrians with little additional computation cost.
MASTER CLASS AND EXHIBITION ACTIVITIES AS AN INCREASE IN THE MOTIVATION OF STUDENTS ' TRAINING IN THE DIRECTION OF DECORATIVE AND APPLIED ARTS AND CRAFTS

The article examines the issues of modern pedagogical science in the field of art education, namely, in the preparation of artists of decorative and applied arts. The actual issue of students ' motivation to the educational process and further creative professional activity is considered in the article through the formation and organization of the educational environment on the example of the Department of Decorative and applied arts of the Southern Federal University.
Argument Schemes and Dialogue Protocols: Doug Walton's legacy in artificial intelligence

This paper is intended to honour the memory of Douglas Walton (1942--2020), a Canadian philosopher of argumentation who died in January 2020. Walton's contributions to argumentation theory have had a very strong influence on Artificial Intelligence (AI), particularly in the design of autonomous software agents able to reason and argue with one another, and in the design of protocols to govern such interactions. In this paper, we explore two of these contributions --- argumentation schemes and dialogue protocols --- by discussing how they may be applied to a pressing current research challenge in AI: the automated assessment of explanations for automated decision-making systems.
Status and Trend of Research on the Funding and Management of Basic Research in China: An Analysis Based on Knowledge Maps of Core Journal Database of China National Knowledge Infrastructure in 1992-2019

This paper aims to clarify the current status, hotspots, historical evolution and development trend of the research on funding and management of basic research in China. Firstly, 736 relevant papers indexed during 1992-2019 in the core journal database of China National Knowledge Infrastructure (CNKI) were analyzed in details. Using the information visualization software CiteSpaceV5.6.R3, the institutional cooperation co-occurrence map, author cooperation co-occurrence map, keyword co-occurrence map, and keyword timeline view maps were plotted through content mining. The results show that: the research institutions in the research field of basic research funding and management have formed three core cooperation networks, and the institutions in Beijing attract the most attention; most of the prolific and active authors choose teamwork over independent research; the research topics mainly fall into four aspects of basic research: input, subjects, results, and talents; the research hotspots are in line with policies and demands, and evolve through three stages: exploration and gradual progress, adjustment and development, and expansion and acceleration. The research results open up a new direction for relevant studies, and provide a reference for innovative parties to implement basic research.
Penerapan Algoritma K-Medoids Dalam Pengelompokan Imunisasi Lanjutan Pada Anak Usia 2 Tahun

Immunization is a process to make someone immune or immune to a disease. This process is carried out by administering a vaccine that stimulates the immune system to be immune to the disease. Immunization in children needs to be done because the immune system that has not been good causes various viruses and bacteria that can interfere with children's health. Advanced immunization is a continuation of basic immunization, at this stage of immunization serves as a reinforcement of endurance in children aged 2 years. This study aims to create a grouping model using the K-Medoids algorithm. K-Medoids algorithm or also known as PAM (Partitioning Around Medoids) uses the clustering partition method to group a group of n objects into a number of k clusters. The data in this study were sourced from the Ministry of Health from 2017 to 2019. The grouping was based on the number of recipients of the DPT-HB-HiB and Measles / MR vaccine from 34 Provinces in Indonesia. From the research results obtained 3 clusters with members, namely: cluster 1 contains 1 province, cluster 2 contains 18 provinces, cluster 3 contains 15 provinces. It is hoped that this research can be a reference to the Government in improving services in the immunization program, especially in advanced immunizations so as to ensure the health level of children in Indonesia.
A Consuming Fe Tablets Using Lime Orange Towards Improvement of Anemia Pregnant Hemoglobin Levels: KONSUMSI TABLET FE MENGGUNAKAN PERASAN JERUK NIPIS TERHADAP KADAR HEMOGLOBIN IBU HAMIL ANEMIA

Lime juice becomes an alternative fulfillment of vitamin C to support the absorption of iron more optimally. The purpose of this study was to determine the effect of consuming Fe tablets using lime juice in anemic pregnant women in the work area of the Puskesmas in Bendo, Pare, Kediri. The design of the Experiment Research with Pretest-Posttest with Control Group, the population of anemia pregnant women was 24, the sample was 20 people, research on April 23-May 17 2018, intervened consumption of Fe tablets using lime juice as much as 10% (200ml) mixed with sugar solution (12.5 grams) as much as 90% (180 ml), total solution of 200 ml, which was given once a day, for 7 days to the treatment group and observed Hb levels on the 14th day and 21st day. Mann-Whitney statistical test. The results showed that pregnant women who use lime juice increased Hb levels in the category of increase by 9 people (45%). From the analysis results obtained U = 9,000 <U table = 27.00 (? = 0,0001<0.05) means that there is an effect of consuming Fe tablets using lime juice to increase Hb levels in anemic pregnant women. By consuming Fe tablets together with a source of vitamin C from lime juice at night before going to sleep, will help the absorption of iron in the small intestine, so that it can accelerate the increase in Hb levels.