Reviewerly/exHarmony huggingface dataset:
Kamus Bahasa Mandarin Di Daerah Istimewa Yogyakarta

The Mandarin learners need a dictionary to facilitate their learning. Nowadays, there are three types of dictionaries that can be used, namely, dictionaries in book form, digital and online. Based on a year of observations, most Mandarin learners prefer a dictionary in book form compared with digital and online form. In Yogyakarta province, not all the dictionaries on the market are fulfill the quality standards, as we see from several dictionaries which was reviewed and analyzed. The results from our analysis showed that the Mandarin dictionaries on the market is not following the principles in Mandarin language, whether in terms of spelling, vocabulary, Han characters and sentence examples. Hence, we suggest that a Mandarin learners must take a cautious care when they are going to buy a dictionary in a book form, becuse that is going to determine the quality of the learners in learning Mandarin language.
Research on The Effectiveness of Campus Recruitment Based on Big Data

To improve the effectiveness of the campus recruitment fair, through the analysis of the effective statistics of the campus recruitment fair, the quantitative evaluation of the effectiveness of the campus recruitment fair was carried out, and a method for evaluating the effectiveness of the campus recruitment fair based on big data analysis was proposed. The effective statistical analysis model of big data statistics, combined with sample regression analysis method, analyzes the effective data big data of campus recruitment fairs in campus recruitment meeting, constructs the decision objective function of campus recruitment fair effectiveness evaluation, and adopts the method of convergence rule evaluation for campus. Quantitative regression analysis of the effectiveness of job fairs, using descriptive statistical analysis results for big data mining and relevance description. The statistical feature of the extracted campus job fairs uses the average mutual information clustering method for pattern recognition and feature screening. The effectiveness evaluation of campus recruitment fair based on big data analysis is realized. The simulation results show that the confidence level of the campus recruitment fair effectiveness evaluation is higher and the evaluation results are accurate and reliable.
Publishing Community Efforts and Solutions to Mitigate the Risks Sci-Hub Poses to Researchers, Librarians, and Publishers

Sci-Hub has been referred to as the "Robin Hood" of science, but in reality, it is not.Sci-Hub is a disruption to the entire scholarly publishing research cycle.Over the last three years, the amount of licensed e-content that has been illegally obtained by Sci-Hub has grown significantly.This content has been acquired through stolen institutional staff and student credentials.Acquiring and misappropriating these credentials creates serious risks for an institution's systems and users as well as publishers.What can libraries and publishers do to minimize or eliminate these infractions?This discussion about the collective efforts of publishers, libraries, and other organizations will cover how to protect electronic resources, personal data, and adopting best practices in order to better defend from cyberattacks that compromise our organizations.We will discuss how these attacks can occur and steps you can take to protect your library.While, unfortunately, there is no one single solution for this problem, we will also look at a case study of a library that successfully implemented some of these practices to combat the cyberattacks.Through this we will demonstrate that together we can reduce the risks facing researchers, librarians, and publishers created by Sci-Hub.
ICT (Information and Communications Technology, or Technologies) Use in Historical Learning

Information and Communication Technology (ICT) is one of the advances used as part of an educational tool, and it has been effectively played between technology and teachers for quality teaching and learning. The purpose of this concept paper discusses the quality of teacher teaching should be maintained so that the field of teaching becomes a professional field and discusses the teaching needs of the 21st century. This shows how teaching in history subject learning will be more interesting and effective with the use of technology. The technology acceptance model and the designed behaviour theory have been applied to explain the intention of teacher behaviours using technology or ICT at school. Using technology has an impact on how the facts are communicated successfully to the students, and then expose them to the latest and up-to-date information on education. The major issues discussed in this paper are related to the problem that teachers teaching history lessons are teachers who are less skilled in handling the computer for teaching sessions. In addition, there are other constraints constrained such as inefficient computer maintenance systems and adequate of computer room in schools . The above issues are one of the causes that causes historical teachers not to use Web 2.0 in History. The proposed solution is the interaction between the student, the teacher and the administrator, the interaction between the student and the system and the time allocated, the second suggestion is with the technology in building the students' skills in learning history, which in turn is the submission of interesting information in sub topic subject software this history to encourage the interest of the students and thus maintains the student's focus on the entire lesson provided.
Sistem Kendali Robot Pemotong Rumput Diperintah Suara Berbasis Android

To manage land for farming both agriculture and plantations will certainly be carried out. In the process of cutting grass, we can cut the grass on the laha so that it can be planted. The process of cutting grass can be done in various ways both manually and automatically. To open new land faster, we cut grass with engine power. But the details and limitations of cutting machines are there. So it needs to be made a robot that works in an automatic way without any human assistance to do the cutting so that the work is done quickly and the wider range of cutting results is greater. The system will work using remote technology from a distance using Bluetooth. This system aims to connect communication between wheeled robots and smartphones through bluetooth communication media. From the results of the testing, the author succeeded in applying Bluetooth technology to wheeled robots by giving instructions such as forward, backward, turn right, turn left, and stop. This robot is used to cut grass with a large area so that it does not need to be done by many enough with two or three people alternately working on cutting grass in terms of clearing new land. But the system here is in miniature form so that it needs to be implemented separately into the real form that will be faced in terms of cutting grass. The robot is controlled with Android, to move the dc dinamo, and use a dinamo driver so that the robot can move according to the commands stored in the program. This research has been successful and will be developed towards a better one with a real tool with large capacity.
INFERRING ADL BEHAVIORS FROM HIGH DENSITY, AMBIENT, INTERNET OF THINGS SENSOR DATA USING MACHINE LEARNING

Abstract To address the growing desire for older adults to age-in-place, there has been an influx of research and development in telehealth services that utilize smart home and ambient assisted living (AAL) technology. AAL technology is designed to care for, remotely monitor, and support healthy aging. The challenge with AAL technology is to accurately classify an older adults’ activities and provide a baseline for detecting changes in physical and cognitive state. We employ (1) rules-based, (2) Latent Dirichlet Allocation (LDA) and (3) auto-encoders (a type of neural network) to infer activities of daily living and instrumented activities of daily living behavior from low-level Internet of Things sensor data. We apply our techniques to a large dataset over 5 older adults in independent living apartments, for over 5 months with 30 to 50 ambient sensors per apartment. Findings highlighted three main themes: (1) lessons learned, (2) an evaluation of the various approaches employed, and (3) a semi-automated methodology to label large volumes of raw sensor data.
Correlation Filter Tracking Algorithm Based on Spatio-Temporal Context

Object tracking has been widely used in artificial intelligence, military reconnaissance, security monitoring and other fields. It has become a research hotspot of computer vision. To handle the drift problem in the presence of occlusions, a tracker combined with spatio-temporal context information and correlation filter is proposed in this paper. HOG (Histogram of Oriented Gradient), CN (Color Name) and gray features are extracted to learn the correlation filter. Meanwhile, the spatio-temporal context model is trained. The response map of correlation filter and spatio-temporal context model are normalized and fused. Experimental results show that the proposed algorithm can accurately track the object, and has better performance in terms of successful rate, center position error and distance precision.
RDF DATABASES – CASE STUDY AND PERFORMANCE EVALUATION

The Resource Description Framework (RDF) data presentation model and the SPARQL query language have been the core of the semantic web technologies since the early 2000’s. In this article, we evaluate three RDF storage technologies. Our motivation is to find a storage solution that can be used to process “big data” RDF sets. Our method is based on measuring query response times with large samples (hundreds of thousands of RDF documents, millions of RDF statements). We find that all the proposed technologies provide much better performance than querying RDF data stored in files. However, with 300 000 documents, even with the fastest technology, an aggregation query still lasts more than 100 seconds in our environment. As a further performance improvement, we test the same data and queries with MongoDB, demonstrate its performance (10 seconds instead of 100) and scalability (up to 1000 000 documents). However, despite its benefits we must note that because of its data presentation and query limitations, MongoDB probably cannot serve as a generic storage for all kinds of RDF documents.
Penerapan Algoritma K-Means Clustering dalam Mengelompokkan Jumlah Posyandu Aktif Berdasarkan Provinsi

Posyandu (Integrated Service Post) is one form of Community-based Health Efforts (UKBM) carried out with the community, to empower and provide facilities to the community to obtain health services for mothers, infants and toddlers. The Posyandu program is an effort to reduce the impact of the economic crisis on reducing the nutritional status of maternal and child health. This study discusses the grouping of the number of active posyandu based on provinces in Indonesia. The method used in the research is Data mining with the K-Means Clustering algorithm. By using this method the data obtained can be grouped into several clusters. This study uses secondary data, namely data obtained from intermediary media recorded on the website of the Indonesian Ministry of Health with the url address https://www.depkes.go.id/. The results obtained in this study are grouping the number of active posyandu grouped into 2 clusters, the highest cluster and the lowest cluster. There are 3 provinces included in the highest cluster and there are 31 provinces included in the lowest cluster. From the results of this study, it will be found that the provinces that get the lowest cluster in the number of active posyandu in Indonesia, It is hoped that this research can provide input to the relevant government, to pay more attention to the provinces in Indonesia which have the lowest cluster to activate the posyandu program in the province. Because posyandu is very important for children's health. If the child has never done a posyandu then he or she will not receive nutritional intake according to the child's needs.
CHEMICAL AND TEXTURAL ANALYSIS OF ENCLAVE TITANITE IN THE OLIGOCENE LITTLE COTTONWOOD GRANITIC STOCK TO DETERMINE CRYSTALLIZATION HISTORY, UTAH

Figure 6.Poikilitic titanite.These grains occur exclusively in LC enclaves and are similar to the inclusion-poor titanite, with oscillatory and sector zoning, and some late-stage overgrowths and very few to no ilmenite inclusions, but are full of euhedral to anhedral silicate minerals such as potassium feldspar, plagioclase, and quartz (black in BSE images).The titanite grains themselves range from euhedral to subhedral, with few grains being anhedral.The textures show that the titanite crystallized late (after the principal silicates) in these mafic enclaves.
GaZone: VR Image Browsing System Providing Feelings of Happiness

In this paper, we propose GaZone, a system providing happiness through unusual immersive experiences surrounded by their favorite images. GaZone provides a function to search images on the Web and easily collect them in the VR environment realized by the head mounted display. The user immerses in the unusual environment surrounded by many images suited to their preference, resulting in experiencing the happiness that cannot be obtained by the conventional systems. From the user study, it was confirmed that users felt happiness and their hearts were moved by being surrounded by their favorite things.
A Distributed Frequent Itemset Mining Algorithm for Uncertain Data

With the rapidly expansion of big data in all domains, it has become a major research topic to improve the performance of mining frequent patterns in massive uncertain datasets in recent years.Most conventional frequent pattern mining approaches take expect, probability, or weight as one single factor of item support, and algorithms that consider both probability and weight are unable to balance execution efficiency under the circumstances of big data.Therefore, we propose a distributed frequent itemset mining algorithm for uncertain data: Dfimud.Firstly, Dfimud calculates the maximum probability weight value of 1-items and prunes the items whose value is less than the given threshold.Secondly, to reduce the times of scanning the datasets, a distributed Dfimud-tree structure inspired by FP-Tree is designed to mine frequent patterns.Finally, experiments on publicly available UCI datasets demonstrate that Dfimud achieves more optimal results than other related approaches across various metrics.In addition, the empirical study also shows that Dfimud has good scalability.
Optimasi Beban Mengajar Dosen Pendidikan Informatika di STKIP Bumi Persada Menggunakan Algoritme Genetika

The cost of teaching lecturers is a routine activity conducted by all universities, especially the maintainers of departments in each faculty. This is done because the number of courses planned students are in every semester is always different and faced with a relatively fixed number of lecturers. Determining the teaching burden of lecturers must be done so that the teaching burden of lecturers does not exceed the maximum possible limit and the teaching process is done in accordance with the interest of lecturer study. Study Program of informatics Education High School and Educational Sciences Earth Persada Lhokseumawe still do the process of determining the teaching burden of the lecturer with the manual so that it takes a little time because it must adjust the infirmity Courses with a lecturer study interest. One of the methods of optimization that is able to solve the problem is genetic algorithm. The genetic algorithm process in this research includes representation with integer numbers, crossover methods with one cut point crossover, mutation methods with Reciprocalexchange mutation and random mutation, as well as selection methods with elitism Selection. Test results that have been tested show optimal parameters i.e. population size 60, combination of CR and Mr Value respectively 0.4, Sertta generation of 3576 with the largest fitness value produced is 0.082846.
Innovative Methods in the Professional Activity of Teacher

There may be a lack of opportunities to implement innovative methods for career guidance in higher education. Therefore, the aim of the research is to introduce an innovative methodology for vocational guidance aimed at attracting talented youth to a technical university. The leading method is the implementation of the State Program "Kazan Open University of Talents 2.0" joined with the Technical University (KNITU-KAI). Innovative methods and programs on vocational guidance for the formation of professional self-determination of talented youth were used in this study. The results of this research allowed identifying the potential competences of gifted children and determining the number and quality of entrants to the Technical University (KNRTU-KAI). The materials of the article are valuable for the development of the theory of general pedagogy and they will be particularly useful for school and university teachers.
Model Pembelajaran Learning Cycle (Lc) 7E Pada Pokok Bahasan Jamur

This study was to study the influence of the 7E Learning Cycle (LC) model (obtain, involve, discuss, explain, discuss, discuss, expand, and understand), class 10 learning activities. The sampling method was carried out using saturated sampling techniques, the results showed thus the 7E Learning Cycle (LC) learning module can be used on the subject of mushrooms by looking at 3 aspects of values, namely cognitive, psychomotor and effective
La elección de las formas de tratamiento en las páginas de tiendas online: Un recorrido por el mundo hispano

The article deals with the choice of Spanish forms of address on online web stores. It focuses on the choice between informal (tú/vos) and formal address (usted), studied empirically using a corpus created with Google searches. In the context of an online web store, the aim is to build enough confidence in the potential buyer so that they end up buying the product offered even when the seller is not physically present and the customer does not have an opportunity to examine the product. Moreover, payment is done online, which often involves certain risks. &#x0D; Both tuteo/voseo and ustedeo include elements aimed at building confidence in the potential customer, though from different perspectives. When the customer is addressed with tú/vos, the aim is to build confidence including a nuance of familiarity in the sales discourse. By contrast, ustedeo includes nuances of politeness and formality, and conveys the hidden message that since the online web store addresses the customer in a correct and respectful manner, the same good practices also extend to purchase situations. &#x0D; The article presents results and conclusions related to the following research questions: the general features of the use of forms of address on online web stores; the forms of address on the online web stores in the 21 Spanish-speaking countries of the world; the forms of address in Spanish texts on US online web stores, and pages on which the potential customer is addressed with usted.
The Book Publishing in the Pre-revolutionary Irkutsk: On the “Cultural Nest” Problem

The paper focuses on the literary and publishing situation in Irkutsk in the second half of the 19th – early 20th centuries viewed as the combination of factors that gave grounds for N. K. Piksanov to introduce the concept of “cultural nest” into the academic parlance. The concept conjugates three stable elements: “a certain group of actors, constant activity and disciples.” The Irkutsk literary and art collections are analyzed from an interdisciplinary perspective that allows direct transfer of research methods from one academic field to another. In this case, historical and literary criticism aims at identifying sociocultural “era slices” in historical, cultural, and publishing context, which makes it possible to relate the development paradigm of almanac literature to the dynamics of social development and processes in related areas of book culture. The literary history of Irkutsk, as well as of the entire Siberian region, begins with the publication of N. S. Shchukin’s Siberian Tales, compiled and published by in 1862. In the mid-1870s, the controversy around the local press, closely monitored in the metropolitan media, resulted in the scholarly and literary collection of the “Sibir’” newspaper published in St. Petersburg in 1876. In fact, the first Siberian literary anthology was the collection of poems Siberian Motifs, published by a famous Irkutsk activist and philanthropist I. M. Sibiryakov. The most successful and longlasting publishing project of the last decades of the 19th century was Siberian Collections, published as a scholarly and literary supplements to Yadrintsev’s newspaper “Vostochnoe Obozrenie” in 1885 in St. Petersburg, and later, from 1888 to 1906 in Irkutsk. In the early 20th century, the first purely commercial book publishing enterprise in Irkutsk was “Irisy” Publishing House founded by the Stozhs. The most successful literary projects were the collections Baikal in Poetry and Prose. Part 1 and Siberian Poets and Their Works, edited by a well-known journalist, literary critic, Marxist and publisher N. Chuzhak-Nasimovich. Among other Irkutsk editions of the first decades of the 20th century the most typical were the student collections The First Snowdrop and Northern Dawns, as well as the anthology Irkutsk Evenings, published by a group of poets led by Konstantin Zhuravsky, who also edited the collection. As a result, the proposed interdisciplinary approach made it possible to correlate the development paradigm of almanac literature with the dynamics of social development and the processes occurring in related areas of the book culture in the pre-revolutionary Irkutsk.
Colour amplifies relief shading

SummaryRelief shading has long been recognised as being an effective way of presenting data. However, the interaction of relief shading and colour is perhaps not widely understood, and many software packages do not combine shading and colour in a physically correct manner. When relief shading and colour are correctly exploited an enhancement of the perception of 3D is obtained and, at the same time, a dynamic range compression of the data can be achieved while still retaining a sense of the metric values of the data. However, on the other hand, an inappropriate use of colour has the potential to disrupt the 3D perception induced by relief shading.To obtain the maximum benefit from combining colour with relief shading a low contrast colour map should be used and the shading pattern should be applied to the colour image multiplicatively, not via a transparency blending as is often implemented in GIS packages.