Reviewerly/exHarmony huggingface dataset:
Il ruolo del testo nell’interdisciplinarità tra matematica, fisica ed educazione linguistica: il tema del moto parabolico tra testi storici e manuali di fisica per la scuola secondaria di secondo grado

Starting from the case of parabolic motion, this contribution proposes a comparison and analysis of a historical text, some high school physics textbooks and one university textbook, from mathematical, physical, and linguistic points of view. The analysis shows how school textbooks, marked by disciplinary autonomy, have lost the intrinsic interdisciplinary dimension of historical texts. The university textbook is a synthesis of and a compromise between these divergent approaches. The results of the analysis represent a first starting point for the planning of targeted educational interventions and an important step to achieve interdisciplinarity in the school context between language education and science subjects.
UPAYA MENINGKATKAN HASIL BELAJAR EKONOMI MELALUI METODE PEMBELAJARAN BAMBOO DANCING PADA PESERTA DIDIK

The problem of this research is the study activity and study of in learning economic is still low of students of class X IPS 1 in Main High School 2 Bandar Lampung Academic Year 2019/2020by using Bamboo Dancing learning methods. The type of research used is classroom action research (CAR) which consists of four stages, namely planning, implementation, observation and reflection. This research was conducted in two cycles by Bamboo Dancing learning method. The subjects in this study were students of class X IPS 1 in Main High School 2 Bandar Lampung. From the results of the study, it was found that by Bamboo Dancing learning method can improve the activity and learning outcomes of students in class X IPS 1 with an average value in cycle 1 which was 68.12 which increased 83.12 in cycle 2. Thus it can be concluded that (1) Bamboo Dancing learning method are more effective in improving economic learning outcomes of students of class X IPS 1 in Bandar Lampung Senior High School 2 in 2019/2020 and (2) average economic learning outcomes of students taught using Bamboo Dancing learning method is higher than the average economic learning outcomes of students who are not taught by using Student Facilitator learning models and Explaining students in class X IPS 1 in Bandar Lampung High School 2 in 2019.
REFLECTIONS ON AIR: An Interactive Mirror for the Multisensory Perception of Air

This paper introduces an interactive mirror that aims to augment human perception and provide people with a visual-auditory experience with the air. To this end, we conceived and implemented a novel interface that responds to carbon dioxide with kinetic behavior and sound. In this study, we outline literature, related works, and the creative process of the practice-based research. We then discuss our findings and conclude with recommendations for the mirror’s use as a mediator for raising awareness of the increasing carbon dioxide concentrations caused by human activities.
Deteksi keretakan permukaan perkerasan lentur jalan raya (Studi kasus: tanah lunak di Banjarmasin)

One type of soft soils is peat, which physically and technically lacks the requirements and conditions for road construction. The reason is that peat contains a very high water content and compressibility, and has a low soil bearing capacity. The total length of the roads in the city of Banjarmasin is 577.11 km, which consists of 1.5% of state roads, 3.8% of provincial roads and 95.3% of municipality roads. Of that amount, asphalt pavement covers length of 465.63 km (80%) and the rests are gravel/stone pavements. Of that length, the defect conditions can be categorized as medium damaged of 169.54 km, damaged of 53.93 km, and heavily damaged of 53.92 km. The low bearing capacity of subsoil, which is formed by peat dominates the major cause of road cracking in Banjarmasin. Therefore, road quality evaluation needs to be conducted frequently so that a rehabilitation can be carried out and the road service performance can be maintained. It is common in Indonesia that the evaluation of damaged road surfaces still relies on manpower (manual) and it is done visually. Meanwhile in other countries, an automatic system for detecting road defects has been implemented, which is found to be more time- and cost-efficient and not endangering the workers. Recent researches have demonstrated image processing approach for detecting road defects. This research proposes an intelligent road evaluation system by applying neural network algorithms. The method is based on digital image processing gained from camera to detect road surface cracks and damages
An Effective Method of Forming the Professional Orientation of Future Chemistry Teachers in the Context of Distance Education

Today, conceptually, in the conditions of the education system: digitalization of the educational process, digital educational content, digitalization of education management, the formation of the pro- fessional orientation of the future chemistry teacher is of great importance. Despite the rapid spread of covid-19 in the world, one of the ways to maintain the position of the state program “Digital Kazakhstan” and “new development opportunities in the conditions of the Fourth Industrial Revolution”, the national idea “Mangilik El” is to increase the effectiveness of the distance education process. The spread of the epidemic in the world and in the country has shown that distance education needs to be given more attention. The main purpose of this study is to determine the value of digital educational resources as an effective method of forming the professional orientation of future chemistry teachers. The study used theoretical (analysis, generalization, comparison, synthesis of philosophical, psychological, pedagogical and scientific-methodological literature); empirical (survey, conversation) methods. As a result of the research, the significance of the process of digitalization of education in the formation of professional orientation of future chemistry teachers in the conditions of distance education is determined. The results of the study are useful to use in higher education institutions in the process of professional training of future teachers, improving their professional skills, distance learning and in institutes of advanced train- ing of teachers. Key words: distance education, future chemistry teacher, career guidance, teaching method, digital resources, research methods, research direction, innovation.
Online Library Package to Boost the Functionality and Usability of the Existing Libraries

The current computational era has given rise to the idea of the digital library. The essential purpose of digital libraries is to enable readers to more easily explore books for reading. The library is a fast-growing process. The prehistoric system of maintaining it is no longer efficient. Library staff handles tedious tasks which involve sorting, lending, returning, classification of books etc. In addition, library users encounter problems for searching, borrowing, renewing the book, queuing, and so on. To overcome these barriers, this paper proposes a smart E-library Application based on Android technology. It mainly focuses on the central operations in a Library like analyzing total books, calculating available books, updating information, searching books and a facility to request and return books. This Software package is an Android Application developed for android O.S based phones, intended to help users to maintain and organize Library Services. This software package is user-friendly. It will allow quick transactions and will make easy to handle the issue and return of books from the Library without much involvement of manual bookkeeping. This software has been developed to maintain all the daily work of the library. It has many features which are generally not available in normal library systems like facility of reader login and a facility of admin login. The admin can monitor the whole system.
STABILITAS PEMERIKSAAN HEMATOLOGI RUTIN PADA SAMPEL DARAH YANG DIDIAMKAN PADA SUHU RUANG MENGGUNAKAN CELL-DYN RUBY

Complete blood count (CBC) is one of the laboratory tests most often influenced by doctors. The use of a hematology analyzer offers a wider range of probe parameters. The pre-analytic stage accounts for 70% of errors, one of which is the delay of the examination. Changes in report results were reported due to changes in blood cell morphology due to EDTA additives and room temperature. The aim of this research is the disturbance of stability of the results of examination of various CBC parameters in blood samples that are left at room temperature for 24 hours using a hematology analyzer. This experimental laboratory research was conducted at the Pramita Jemur Andayani Clinical Laboratory. Blood samples were obtained from volunteers, stored at room temperature and subjected to immediate examination (control) and after a delay of 6, 12 and 24 hours (treatment). A total of 30 respondents, consisting of 8 men and 22 women. The mean age of the respondents was 22 ± 1 year. There was no difference in the results of the examination (p-value &gt; 0.05) in the RBC, Hct MCV, MCHC, PLT and PDW. The results of the examination (p-value &lt; 0.05) were found on Hgb, MCH, RDW, WBC, NEU, IG, MONO, EO, BASO, LYM, PLT and PDW. Delayed CBC examinations using the CELL-DYN Ruby hematology analyzer directly gave different results on several parameters ranging from 6 hours delay of examination.
Rain Streaks Elimination Using Hybrid Median Filter and Contrast Stretching

An efficient method to enhance the rain degraded single image using Hybrid Median Filtering and contrast stretching is proposed with this paper. The rainy image consists of rain streaks and foggy appearance of the image due to rain streaks accumulation. The original image is thus having two different components—rain streaks and foggy image. There are several techniques available to enhance the rainy image using simple filters to complex algorithms. Some of the techniques are using multistage linear filtering to eliminate the rain streaks from the image and Dark channel prior to technique to enhance the foggy rain-free image. These techniques are simple but the output rain-free enhanced images are having less similarity to original image. With this paper, it is proposed that the rain streaks elimination could be augmented using a non- linear filter like Hybrid median filter before using linear filtering. Also, the contrast stretching method is implemented to improve the fog removed image obtained after dark channel prior. With our proposed technique we have shown that the similarity index of rain-free enhanced image is increased using a Hybrid Median Filtering and contrast enhancement. This technique is having lesser complexity and easy to implement. We have compared the proposed technique with Gaussian Filtering and Temporal Filtering methods. The comparison of simulation results confirms that our technique is having a higher PSNR and lower MSE. The outcome of rain-free enhanced image is having better similarity with original images.
A Critique and Review on the Book “Endogenous Regional Development: Leadership and Institutions”

The book “Endogenous Regional Development: Leadership and Institutions” examines the role of the three components of leadership, institutions, and entrepreneurship in creating endogenous regional development. The main idea of ​​the authors is that these three elements can provide the basis for the correct guidance of the two factors of resource endowment and adaptation to the market structure towards endogenous regional development. This statement is based on facts revealed in different parts of the world. The method of the present article in reviewing the book is documentary and analytical and the purpose is to evaluate the work with an emphasis on its content critique. The results of the study show that although the concepts contained in the book cover part of the scientific needs of the country, it has shortcomings such as not testing the proposed model, mentioning indicators that cannot be measured accurately, and using inappropriate criteria in measuring is one of the introduced indicators. In addition, a precise and specific definition of the region is not given. Furthermore, expressing the experiences of different regions, which makes up a large part of the book, lacks a general conclusion.
PENGGUNAAN PREPOSISI PADA TEKS ARGUMENTASI SISWA KELAS X SEMESTER GANJIL SMA NEGERI 3 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The ability to use prepositions in argumentative text for Senior High School students is one of the abilities that must be possessed to be able to produce good writing and appropriate with the rules of Indonesian. In writing argumentative text, the students need to pay attention to the use of prepositions.  Students must be able to use and write prepositions correctly and in accordance with the rules of Indonesian. This research used qualitative descriptive method, by describing data based on the fact and described in detail based on the data obtained. The sample of this research was 31 students. Data collecting technique was used in this research was written test. Based on the results of this reserach, it could be concluded that the use of prepositions in in writing argumentative text at the students of the tenth class in the odd semester of SMA 3 Bandar Lampung in the academic year 2018/2019 still has errors in the use and writing. Errors made by students in the use of prepositions in writing argumentative text are caused by students being less able to use prepositions in accordance with the sentences, whereas prepositional writing errors or prepositions in students' argumentation texts are caused by students being unable to distinguish functioning affixes as prepositions with affixes that function as prefixes.
f-Score Feature Selection-Based Support Vector Regression for Solar Power Forecasting

Kumar, Nitesh Chandra, M. V. Satya Sai Mohapatro, SankarsanRapidly changing climate and energy crisis have motivated the use and development of solar power generation. Since solar power generation is highly intermittent and dependent on local weather characteristics, there is a great need for forecasting the solar power generation. Effective energy management of the microgrid is ensured by an effective forecasting strategy. Different forecast models namely, ARIMA, Support Vector Regression and Deep Learning models with and without feature selection are used for short-term forecasting. A variety of feature selection techniques are applied, which suggest the most informative weather parameters for predicting the solar energy generation. As a part of this work, support vector regression model with f-score-based feature selection is found to be the most accurate model evaluated in terms of prediction accuracy for the solar generation forecasting. Corresponding results and analysis are also presented.
Analisis Penerapan Program Sarapan Pagi Ppada Siswa Kelas 3 dan Kelas 4 di SDN 03 Karangbangun

Learning mathematics is still considered a difficult and frightening subject so that itmakes students not interested in studying it further and greatly affects the students'low interest in learning mathematics, this is indicated by the inability of students tosolve the math problems given. by the teacher quickly and precisely. . The use oflearning strategies and the use of appropriate methods will have an effect on improvingstudent learning outcomes, this can be proven by increasing student grades anddeveloping student behavior. One way to solve the problem of students' difficulties inlearning mathematics is to implement the breakfast program with the tawking method.This research aims to describe the planning, implementation, evaluation and benefitsof the breakfast program in increasing achievement in grade 3 and grade 4. Thisresearch is a qualitative research. descriptive subject with the principal, vice principal,grade 3 and grade 4 teachers and grade 3 and 4 students who have been involved inimplementing the breakfast program at SD N 03 Karangbangun. Based on the resultsof research data analysis obtained through interview techniques, the breakfast programis a new version of the method implemented at SD N 03 Karangbangun, so thatstudents can easily memorize the multiplication which shows that the application andimplementation of the breakfast program can improve student mathematics learningachievement. , this can be proven by the increase in student scores in the first periodof the breakfast program until the final period and can be seen from the increase instudent scores for midterm and final semester exams
Enhancement algorithm for color images based on improved FC-MSPCNN

Abstract Image enhancement has been a hot research topic in image processing in recent years, and Pulse-Coupled Neural Network (PCNN) based image processing has become one of the important channels for image processing. Recently, we have applied this network to image enhancement based on Fire-controlled Pulse-coupled NeuralNetwork (FC-MSPCNN) without changing its model structure by combining the adaptive parameter setting method to redefine the link coefficients β . On the one hand, and reprocessing the mapping matrix of the extracted three channels on the other hand. The experimental results of the improved FC-MSPCNN are proved to be more effective and robust compared with the traditional classical algorithm, both in terms of competent analysis and objective comparison.
An Experimental Approach to Tracking User Eye Movement in Interactive Apps: Implications for Design

A gesture consists of a sequence of continuous elements, typically strokes, which are performed in a sequential time order. To detect a gesture, it is necessary to know when the gesture starts and when it ends. The problem encountered separating gaze gestures from natural eye movements is very similar to the challenge of recognizing spoken commands for computer input where a normal conversation should not trigger commands. This paper focuses on finding a reasonable alphabet which is separable from natural eye movement. With a vision of ubiquitous computing, the amount of interaction with computers will increase and we are in need of interaction techniques which do not cause physical problems. The user study that was undertaken here consists of three tasks to achieve gaze gesture. The first was to close a dialog box using gaze command instead of a mouse. The second used help lines to guide the gaze gesture while the third was to surf the Internet for 3 minutes. The paper presents a usability tool for recording of interaction and gaze activity. It also describes algorithms for reading detection. The approach presented here will release results based on user study conducted with prototypes developed for the purpose.
Large magnitude earthquakes of late Holocene age in the Precambrian of Finnmark, Northern Norway

&amp;lt;p&amp;gt;The 80 km long Stuoragurra postglacial fault occurs within the c. 5 km wide Precambrian Mironjavri-Sv&amp;amp;#230;rholt Fault Zone in the northern Fennoscandian Shield. Deep seismic profiling and drilling show that the fault dips at an angle of 30-40&amp;amp;#176; to the southeast. The reverse fault can be traced down to a depth of c. 2.5 km on the reflection seismic profile. A total of c. 100 earthquakes has been registered along the fault between 1991 and 2019. Recordings at the ARCES seismic array in Karasjok c. 40 km to the SE of the fault and other seismic stations in northern Norway and Finland have been utilized. The maximum moment magnitude is 4.0. The Stuoragurra fault constitutes the Norwegian part of the larger Lapland province of postglacial faults extending southwards into northern Finland and northern Sweden. The formation of these faults has previously been associated with the deglaciation of the last inland ice. Trenching of different sections of the fault and radiocarbon dating of buried and deformed organic material reveal, however, a late Holocene age (between c. 700 and 4000 years before present at three separate fault segments). The reverse displacement of c. 9 m and segment lengths of 9-12 km of the two southernmost fault segments indicate a moment magnitude of c. 7. The results from this study indicate that the maximum magnitude of future earthquakes in Fennoscandia can be significantly larger than the existing estimate of c. 6.&amp;lt;/p&amp;gt;
Spatial Distribution of Ink at Keypoints (SDIK): A Novel Feature for Word Spotting in Arabic Documents

This paper addresses the challenging task of word spotting in Arabic handwritten documents. We proposed a novel feature that we called Spatial Distribution of Ink at Keypoints (SDIK). The proposed feature captures the characteristics of Arabic handwriting concentrated at endpoints and branch points. SDIK feature quantizes the spatial repartition of ink pixels in the neighborhoods of keypoints. The resulting SDIK features are very fast to match, we take this advantage to match a query word with lines images rather than words images. By this matching mechanism, we overcome the hard task of segmenting an Arabic document into words. The method proposed in this study is tested on historical Arabic document with IBN SINA dataset and on modern handwriting with IFN/ENIT database. The obtained results are great of interest for retrieving query words in an Arabic document.
Exploring Automated Essay Scoring Models for Multiple Corpora and Topical Component Extraction from Student Essays

Since it is a widely accepted notion that human essay grading is labor-intensive, automatic scoring method has drawn more attention. It reduces reliance on human effort and subjectivity over time and has commercial benefits for standardized aptitude tests. Automated essay scoring could be defined as a method for grading student essays, which is based on high inter-agreement with human grader, if they exist, and requires no human effort during the process. This research mainly focuses on improving existing Automated Essay Scoring (AES) models with different technologies. We present three different scoring models for grading two corpora: the Response to Text Assessment (RTA) and the Automated Student Assessment Prize (ASAP). First of all, a traditional machine learning model that extracts features based on semantic similarity measurement is employed for grading the RTA task. Secondly, a neural network model with the co-attention mechanism is used for grading sourced-based writing tasks. Thirdly, we propose a hybrid model integrating the neural network model with hand-crafted features. Experiments show that the feature-based model outperforms its baseline, but a stand-alone neural network model significantly outperforms the feature-based model. Additionally, a hybrid model integrating the neural network model and hand-crafted features outperforms its baselines, especially in a cross-prompt experimental setting. Besides, we present two investigations of using the intermediate output of the neural network model for keywords and key phrases extraction from student essays and the source article. Experiments show that keywords and key phrases extracted by our models support the feature-based AES model, and human effort can be relieved by using automated essay quality signals during the training process.