Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF CHILDREN'S STORYBOOK BASED ON SIDOARJO LOCAL WISDOM TO IMPROVE READING SKILLS IN FOURTH GRADE ELEMENTARY SCHOOL STUDENTS

This research aims to develop children's story books based on local wisdom of Sidoarjo to improve reading comprehension skills in grade IV elementary school students that are valid, practical, and efficient on the theme of the area where I live.This development research refers to the 4D model developed by Thiagarajan.The subjects of this development research were fourth grade students of SDN Sidokumpul Sidoarjo.Data collection techniques using documentation, validation, observation, questionnaires, and tests.The results showed that (1) the validity of the development of children's storybooks was 85% with a very valid category.(2) The practicality of story books is known from the implementation of learning, namely 87% in the very implemented category and student activity during the learning process, which is 83.75% in the very active category.(3) The effectiveness of story books is proven by the results of the t-test, it is known that the results of the pretest and posttest are known that the value of t-statistics = 13,417> t-table = 2,042, based on the results of the t-test, it is concluded that there is a significant difference between the results of the pretest and posttest.The results of complete learning have a range of values from 81.6 to 100 with complete criteria.From the results of this study, it can be concluded that the development of children's story books based on local wisdom of Sidoarjo can improve reading comprehension skills of fourth grade elementary school students.
Structures and Functions of Lexical Bundles in Findings andDiscussion Sections of Graduate Students’ Thesis

Lexical bundles is a combination of words which consists of three or evenmore words that frequently occur together in particular registers. It is seen asan important aspect that should be mastered in order to create a qualified text.This study aims at analyzing the lexical bundles used in findings anddiscussion sections of graduate students’ thesis in terms of structures, functions,and the role of lexical bundles in forming coherence of the students’ texts. Thisstudy employs qualitative approach. The data are taken from 10 Chapter IV,Findings and Discussion of graduate students’ thesis. In the process of analysis,the researcher uses three instruments in the form of tables to collect andanalyze the lexical bundles manually based on the structures of lexical bundlesproposed by Biber, et. al. (1999), and the functions of lexical bundles proposedby Hyland (2008) framework. There are 74 lexical bundles found in thestudents’ texts. The findings reveals that first, the lexical bundles found in thestudents’ texts make use of all the twelve structural forms and the mostdominantly used is structure type 4 other prepositional phrase (fragment);second, the lexical bundles found in the students’ texts serve all of the threefunctional types and the most dominantly used is text-oriented function andthird, the lexical bundles found in the students’ texts have an important role informing coherence of the texts. It indicates that the lexical bundles make use oftwo coherence items such as reference and transition signals.
Research on the Methods and Key Techniques of Web Archive Oriented Social Media Information Collection

Social media information collection and preservation is a hot issue in the field of Web Archive. This paper makes a comparative analysis of the different social media information collection methods, deeply analyzes the key techniques of the three important parts-collection, evaluation and preservation in the information collection process, and provides the solutions for the problems in the key techniques. Through analysis, the collection method suitable for the social media information is found. In terms of the problem that social websites impose restrictions on the call frequency of API, the paper provides solutions, for example, use the multiplexing mechanism, use the naive Bayesian algorithm to solve the spam filtering problem, and use MongoDB Dbased distributed storage to store collected massive data.
Implemented Crime Prevention Strategies of PNP in the Philippines

This study aimed primarily to determine the effectiveness of crime prevention strategies implemented by the Salug Valley Philippine National Police (PNP) in terms of Police Integrated Patrol System, Barangay Peacekeeping Operation, Anti-Criminality Operation, Integrated Area Community Public Safety services, Bantay Turista and School Safety Project as evaluated by 120 inhabitants and 138 PNP officers from four Municipalities of Salug Valley Zamboanga del Sur. Stratified random sampling was utilized in determining the respondents. Index crime rate were correlated with the crime prevention strategies of the PNP in town of Salug Valley.A descriptive method of research was applied in this study utilizing self-made questionnaire. The data collected were analyzed using the main statistical tools like frequency count, percentage, mean computation, Kruskal Wallis Analysis of Variance and simple correlation.Findings of the study revealed that the crime prevention strategies in four (4) municipalities were “much effective” to include Integrated Patrol System, Barangay Peace Keeping Operations, Anti-Criminality Operations, Integrated Area Community Public Safety Services, Bantay Turista and School Safety Project in connection to the responses of 158 participants.There is a significant relationship between crime prevention strategies employed and index crime rate.
Food viral recommendation mobile application using geolocation with auto recommendation places (EatNow!) / Nur Ain Zubari … [et al.]

Along the 21st Century, mobile applications become more rampant among the people. Nowadays, they keep depending on mobile apps to perform daily life. It includes when tourist unfamiliar to choose popular food in a particular area. EatNow! Mobile application will help ease the user find popular food based on user preferences. EatNow! Application is a viral food recommendation using geolocation with auto-recommendation places. With the implementation of geolocation, the application can suggest places based on the user 6s current location. The recommendation based on the 3 APIs, the Foursquare API, Google Places API, and OpenWeather API. EatNow! Apps recommend the places based on user preferences by using a rule-based system and user’s current location. The application’s effectiveness has evaluated by conducted functionality, usability, and accuracy testing. Findings show that EatNow! Application can help user find restaurants based on their preferences and the nearest user’s current location. In conclusion, EatNow! is useful for any users to find nearby food areas and save the time consumption to find food viral.
PENINGKATAN HASIL PRODUKSI MELALUI PEMANFAATAN MESIN PEMARUT KELAPA PADA KELOMPOK USAHA MAKANAN TRADISIONAL “HANA SNACK”

The HANA SNACK business group is a form of community business consisting of 7 families that produces various kinds of food for celebrations and others, especially the manufacture of traditional wet food, marrow jenang, jenang seeds Salah and nogosari. So far, the grating process has been carried out by inserting a self-designed machine that gives the effect of noise and the results of the grater are still rough. The solution provided is to improve the production process by making a tool or grating machine that is designed by assembling a rotator machine that can move the slice or knife to get a larger, faster, smoother grater and a quieter sound. The Community Service Program that has been implemented by implementing a Grate Machine has been proven to have increased the speed of the production process within 1 minute and can grate 8 coconuts. The support of the Cup Screen Printing Packaging Machine adds to the attractiveness of the packaging. Training and mentoring increase the amount of marketing
ENHANCING STUDENTS’ SEPAKING SKILL THROUGH VIDEO BLOG (VLOG) AT SMAN 2 KALUKKU

The purpose of this study was to determine the application of improving students' speaking skills through video blogs (vlogs) in speaking skills through descriptive texts in class X SMA Negeri 2 Kalukku in the academic year 2021/2022. Samples were taken in class X.IPA 1 semester II with 32 students. Furthermore, Each cycle is completed in four steps: planning, action, observation and reflection. The success indicator of 71% of students achieves the KKM score of 71. The results of the study prove that the application of improving students' speaking skills through video blogs (vlogs) can improve the quality of students' speaking. The value from cycle I to cycle III has increased. Furthermore, the results of diagnostic tests up to cycle I mean the score decreased from 5 (diagnostic test) to 8 (diagnostic test), but in this case there was also an increase. Then from cycle I to cycle III the average score for each step increased, namely 60.72 (cycle I), 79.00 (cycle II) and 90.16 (cycle III). This technique can be relied upon to develop students' speaking skills through descriptive texts. However, it must be accompanied by aspects that students must understand so that the conversation becomes a good topic
Using Pre-Processing Methods to Improve OCR Performances of Digital Historical Documents

The historical documents digitized and scanned with OCR opening access to online translation is one of the major priorities of both Turkey and others in world compilation libraries. Problems are encountered in the process of passing the Turkish documents written in Latin letters that are old and difficult to read through OCR. The aim of this study is to examine the effects of 3 different thresholding algorithms applied on OCR performance after up sampling for historical documents as preprocessing. This study shows that the success of the OCR process can be increased by using up sampling and image thresholding techniques to be applied to digital documents before OCR. The words obtained from the processed documents were tested with NLP libraries, and the success of the proposed method was measured by determining their presence in the Turkish language. The proposed study was applied to 30 different first pages of newspapers between 1930 and 1970. It was observed that the words in the documents in which the proposed method was applied were detected with a better accuracy of nearly 18%.
Aportes de la educación intercultural para la educación 4.0 como pedagogía al servicio de la cuarta revolución industrial (4RI)

The fourth industrial revolution presents the ideal scenarios to analyze the foundations that allow the manufacture of goods without this meaning the impairment of the conditions that establish life. This article intends to analyze the contributions of intercultural education to structure education 4.0 as a pedagogical tool at the service of future societies. Well, consent to recognitions so that it is possible to configure prosperous and just societies. We question the epistemic sustenance of the consumer society that causes the current crises, in search of dialogues as a coincidence of cultural horizons. It is a documentary analysis from the rationalist-deductive approach.
Family Learning with Wakelet

Wakelet is a free to use platform that lets you save, organize and share any type of content into visually engaging collections. Withmany schools now closed, teachers and parents are using Wakelet to create and share activities, lesson plans and more - helpingstudents effectively learn from home!
Έντυπο και Επαυξημένη Πραγματικότητα

The last years the application of augmented reality has evolved tremendously. Augmented reality is a rapidly growing field of research, which aims to enrich the elements of the real world by adding virtual information and by adding appropriate devices. Its use is something that expands the experience of many users, in terms of traditional publications and this has created a new pop-up window in the Graphic Arts industry with significant opportunities and prospects. In addition, augmented reality, as we know it has applications in many fields some of them are, tourism, museum tours, advertising, trade, education, medicine, entertainment. This work will be mentioned in the first section in general, what is augmented reality and its historical background. The second will present augmented reality technologies and imaging systems. In the third are given some examples that exist in the various publications such as newspapers, magazines, books, packaging and a comparison will be made with digital prints and some advantages and disadvantages of both types of forms will be mentioned. The fourth section will present some other applications of augmented reality and a case study for the augmentation of a book
Diagnostics of the readiness for self-improvement of the future teacher in the conditions of COVID-19

The society's need for competitive specialists capable of solving urgent issues requires focusing efforts on solving the most pressing problems in education in today's pandemic conditions. The psychological and pedagogical literature has repeatedly emphasized the need for self-improvement as a component of self-education of a person in general and a teacher in particular. One of the most important factors in the success of further professional activity is the formation of students' readiness for professional self-improvement. The issues of training future teachers remain topical, because both the intellectual, moral and spiritual development of children and youth, the socio-economic well-being of the country depend on their activities. Since the attention of specialists is focused on the personal potential of a person, the urgent is the problem of the formation of future teachers' readiness for self-improvement in the process of individualization of professional training pedagogical science. For this, the methods of theoretical research of profile sources were used, and also theoretical and ascertaining experiments were carried out. It is proved that the training of a future teacher should be focused on the personality, the recognition of a person as the highest value in society, and providing conditions for personal self-improvement of the future teacher is one of the priority areas in the educational process of the university
The Nature of the Articulatory Code

The paper investigates the nature of the articulatory code (AC), whichcontains the messages needed for cortical processing to perceive and producespeech. The paper claims that the AC is a multi-item neural code identical forboth modalities - speech perception and speech production - and that thetransport of the AC between the short-term memory and the speech processingareas is performed by coupled Ɵ/ɤ-oscillations. Due to the limitation given by thestate of the art in measuring cortical activities, the structure and content of theAC is not deciphered yet. Using findings from research in phonetics and evolutionand using invasive as well as non-invasive measurements of cortical activitiesof non-human and human primates, the paper is focused to verify the hypothesis,that each message of the AC describes the structure and content of a Ɵsyllable.The items of each message represent elementary articulatory gesturescomposing syllables and are coded based on bundles of manner & place like articulatoryfeatures. Further the items are generated by spike patterns of neuronsconnected to complexes of neurons sensitive to articulatory features and aretransmitted by modulated ɤ-oscillations embedded in the Ɵ-oscillations. A finalproof derived from cortical measurement for the proposed AC is still missing.Thus, there is a need for further cortical measurements.
Research on Sports Performance Prediction Based on Genetic Neural Network Algorithm

The accurate prediction of Physical Education Achievement provides a reliable analysis basis for the establishment of physical education teaching objectives, and a physical education achievement prediction method based on genetic neural network is proposed. The model is based on neural network. Particle swarm optimization algorithm updates particle position and speed through individual extreme value and global extreme value, and optimizes the variance and weight of neural network to enhance the accuracy of sports performance predicted by neural network. Compared with the traditional methods, the convergence speed of this method is faster, the error is lower, the prediction result of sports performance is more accurate, and has high anti noise performance and practicability.
A Literature Review on Hackers Classifications

Hackers are intelligent programmers who at- tempt to break into a computer system illegally even legally. They have the ability to develop tools and techniques to speed up the processes in optimal ways. They are classified into three main classes:  white-hat, gray-hat, and black-hat. White-hat hackers always work for a good thing and save people from online crime.  They work like a penetration tester.   Gray-hat hackers are a mixture of white-hat hackers and black-hat hackers. Black-hat hackers are none trusted cybercrime people who hack for revenge, spy, and criminal activity without permission to enter systems, also without inform- Ing the weakness of systems.  Such classifications are based on hacker’s motivations analysis, profiling creation, be- savior pattern analysis, social network analysis, knowledge sharing, Business Types, psycho-sociological analysis, interviews, and machine learning. The objective of this paper is to make a brief literature survey on previous research studies, which concerns available learning algorithms, datasets, and business models to select a suitable technique for classifying, predicting, and eliminating hacker threats. The paper would focus on learning algorithms, models analysis, and comparison as well as available standard dataset investigation.
Assessing Quality of Experience of 4k Video Streams Using No-Referenced Metrics

In this work, conducted by three partners (UFAM/CETELI, ICTS and ENVISION/TPV), we developed practical experiment scenarios, showing the viability of creating QoE assessment scenarios for 4k videos, using off-the-shelf computers equipped with GPU, software free and transmission over WiFi networks. We evaluated a set of 4 unreferenced QoE metrics, noting that videos transmitted via WiFi have QoE similar to the original, untranslated video.
Loyalty system development based on blockchain technology

The subject of this paper is a development of a loyalty system based on blockchain technology. The theoretical section of this paper will analyze different types of loyalty programs, their advantages and disadvantages as well as the current market situation. The concepts of blockchain technologies and the possibilities of applying blockchain in the implementation of loyalty programs will be explored in detail. Also, the possibilities of blockchain integration, mobile and IoT technologies for the realization of loyalty programs in smart environments will be analyzed. In the practical section of this paper, a system of partner loyalty program as a smart city service will be designed and implemented. The Hyperledger Fabric development environment will be used to implement the blockchain component of the system. The implementation will be carried out in microservice architecture. An Android mobile application will be developed for user interaction with the platform.
Quality of Experience evaluation of 4k Video Streaming using Referenced Metrics

In this work, conducted by three partners (UFAM/CETELI, ICTS and ENVISION/TPV), we created practical experiment scenarios, showing the viability of creating 4k video QoE assessment scenarios, using off-the-shelf computers equipped with GPU, software free and transmission in WiFi networks. In the evaluation, we used a set of 7 metrics of QoE verifying that videos transmitted via WiFi have QoE similar to the original video, not transmitted.
Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation

Music generating computer programs can support jazz musicians and students during performance and practice, for instance by providing accompaniment for solo improvisation. However, such software typically plays sequences of static precomposed snippets and does not react to the user. In that context, it is hardly possible to determine whether such a system has any of its own creative powers. Within the scope of a user study with 20 participants, we evaluate and compare the mobile application iReal Pro to our own system, the evolutionary automatic and reactive system called ‘EAR Drummer’ that generates drum patterns as accompaniment to jazz solo improvisation. It adapts its behaviour in real-time by heuristic rules based on music properties derived from the user’s melodies. The user-based evaluation is performed by following the standardised procedure for evaluating creative systems (SPECS). The analysis of the results is based on a Linear Mixed Effects Model to consider fixed and random effects on the survey data. The model reveals that our system outperforms iReal Pro in all of SPECS’s partial components of creativity and significantly outperforms it for 7 of those 14 components including variety, originality, emotional involvement, and social interaction. Further, it is characterised as “better” and “more interesting” in the user survey. A conflicting observation is that while 70% of the study participants tend to prefer our more “creative” system as support for stage performances, only 40% find it more suitable for practice. Further analysis addresses differences between user groups defined by their played instrument, age, and musical experience.
RANCANG BANGUN APLIKASI PEMILIHAN IKAN LELE BERKUALITAS PADA DINAS PERIKANAN KABUPATEN BANJAR DENGAN METODE TECHNIQUE FOR OTHERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS)

In the data processing report catfish selection at the Department of Fisheries and Marine Banjar Regency is still done manually using Microsoft Excel. Certainly a lot of information in the process of reporting data. Moreover, solutions are needed for efficient and efficient solutions and information. Then the data should be stored in a database that is able to load a lot of data and the data can only be accessed by the parties who can access it..In this thesis has been designed a qualified catfish selection application that has features to support in the process penginputan and data management, data search, data recapitulation, and print data reports. In system design in this application using Microsoft Visual Studio 2010 language with database using Microsoft Access 2007.The final results of this application design produce an application that can simplify, saving time and energy of Fisheries and Marine Service of Banjar District.
Reinforcing Intrinsic Walking Power with Nudge Reflecting Day-of-Week Pattern.

In order to reduce the risk of lifestyle-related diseases, continuous exercise is necessary. However, many people are too busy to exercise on a consistent basis. Many existing approaches do not take into account the individual’s environment and are one-sided in their support. Therefore, they fail to motivate individuals to exercise essentially. In this study, we propose an intervention that takes the environment into account and is tailored to the individual. The proposed method takes into account the busyness of the subject based on the periodicity of their walking volume, and nudge-based messages are sent to them. The use of periodicity and nudges enables consideration of the individual’s environment and motivation for intrinsic exercise and is expected to lead to sustained exercise.