Reviewerly/exHarmony huggingface dataset:
MAP COMPILATIONS: CREATING A SEAMLESS GEOLOGIC MAP FOR THE STATE OF WEST VIRGINIA

In effort to create a seamless statewide geologic map, the West Virginia Geological and Economic Survey (WVGES) is building an Enterprise Dataset, an internal WVGES database that seamlessly synthesizes all available geologic data for the state. This work dovetails with the U.S. Geological Surveyâ€™s goal of establishing a seamless nationwide geologic map. WVGES is mapping, organizing, and compiling 1:24,000 quadrangles by 1:100,000 sheets as part of an ongoing project for the U.S. GeoFramework Initiative of STATEMAP, a component of the National Cooperative Geologic Mapping Program. The goal is to have the geology of the state of West Virginia completely mapped at 1:24,000 scale. Presently, statewide geologic coverage exists as a combination of the 1:250,000 scale statewide geologic map published in 1968 and past and current 1:24,000 scale bedrock mapping of individual quadrangles. WVGES prioritizes bedrock mapping in areas of karst terrain, tourism, infrastructure development, and conservation, concentrated on the eastern state margin and New River Gorge area. While WVGES is organizing data by 1:100,000 sheets, the mapped geology retains 1:24,000 scale in the database. Presented are examples of this work in Silurian-Devonian bedrock units of the Elkins 100,000 sheet. Integrating different datasets resolves regional geology and provides a product useful for a broader range of studies. Important factors that improve resolution of geological maps include modern basemap data such as Lidar and systematic edge-matching of mapped quadrangles. Edge-matching ensures congruence of geologic features across map boundaries. Overlays are created for digitized bedrock maps in ArcGIS to assess severity and offer solutions for mismatches. Minor mismatches include offset in features and solutions are drawn in the overlay. Geologic groups on one quadrangle may be split into formations on adjacent quadrangles mapped by different authors. Major mismatches are managed by supplementary data analysis or field work. Such issues correspond to structural complexity or inconsistencies in stratigraphic interpretation. Examination and resolution of these geological problems will greatly enhance quality of bedrock mapping, providing new and updated mapping for West Virginia.
VIDEO VLOG AS TEACHING MEDIA IN IMPROVING THE STUDENTS’ SPEAKING ABILITY IN PROCEDURE TEXT

Speaking is one important skill of English to present opinions, ideas, and convey our feeling to other people. Based on my observation teaching practicum in a vocational school, the students speaking ability have less confidence in practicing English speaking. Except for the students’ problem in speaking teacher’s media in the classroom also influence the process of teaching and learning. The use of conventional media is still found in the process of teaching speaking in class. The writer will focus on her research in improving students speaking skills by using media is Vlog. The purpose of this study is 1. To what extent student’s speaking ability taught without using video vlogs in procedure text? 2. To what extent student’s speaking ability taught using vlogs in procedure text? 3. Is there any significant difference between students speaking ability taught using vlogs in procedure text and those taught without using vlogs in procedure text?. The design of this study is quasi-experimental. The data were gathered through quantitative data. The writer takes XI AKL 2 as a control class and XI AKL 1 as an experimental class. The research instrument is a test. There are two types of tests given, namely pre-test and post-test. After collecting data, there are significant differences between the classes taught using video vlogs and the classes taught without video vlog. The results of the study can be seen on the post-test after giving treatment. Were the mean score pre-test was 57.11 which was classified as unsatisfactory and the mean score post-test was 70.67 which was classified as good. The result of the sig 2 tailed was 0.00. If the value of sig ( 2 tailed) &lt; 0.05 then there is a significant difference between the learning outcomes taught without using video vlog between taught using video vlog meanwhile, the value of sig (2 tailed) was 0.000 &lt; 0.005. So it can be concluded that there was a significant difference between the students speaking skills taught using video vlog.
To the 70th anniversary of the Department of Electronics, Oscillations and Waves

On June 1, 2022, the Department of Electronics, Oscillations and Waves of SSU turned 70 years old. Over the years, the Department has passed a brilliant way. Three of its leaders at different times were rectors of Saratov State University. Graduates and staff of the department are known in the scientific world not only in our country, but also far beyond its borders. We pay tribute to the Department of Electronics and remember the events, as well as all those people with whom we were somehow connected within its walls, and whose memory will remain in our hearts for a long time.
Pengaruh Pemberian Punishment terhadap Motivasi Belajar Peserta Didik Kelas V di SDN 1 Selebung Ketangga Tahun Pelajaran 2020/2021

This research is Ex-postfacto research, namely research that examines the relationship between cause and effect. The purpose of this study was to determine whether the provision of punishment had an effect on the learning motivation of fifth grade students at SDN 1 Selebung Ketangga. The data collection methods used in this study were questionnaires, observations, and documentation. The results showed that X2 (Punishment) had an effect on Y (learning motivation).
A correlative study between students’ listening habit with English songs and their vocabulary mastery at SMAN 16 Bandar Lampung

This research was intended to find out whether there is any significant correlation between students’ listening habit with English songs and their vocabulary mastery. This research was quantitative, and the design was ex-post facto design; so, there was no treatment in this research. The population of this research was the second grade students of SMAN 16 Bandar Lampung. 30 students of XI Science 1 were taken as samples through the use of cluster random sampling. A listening habit with English song questionnaire and a vocabulary test were used to obtain the data. Moreover, the data was analyzed by using Pearson Product Moment Correlation in SPPS 20.0. The result of analysis showed that there was a positive and significant correlation between students’ listening habit with English songs and their vocabulary mastery since the r-value (0.770) was higher than the r-table (0.361). It means that H1 is accepted and H0 is rejected. This indicates that the more students listen to English songs, the higher their vocabulary score. Moreover, for those who are used to listen to English songs, it is likely to be easier for them to comprehend what they hear. As a conclusion, the habit of listening with English songs helps the development of vocabulary mastery.
Just-In-Time: the value of online integrated interlibrary loans to broaden access to information resources

&#x0D; &#x0D; &#x0D; This research article will discuss a collaboration strategy used between eight postsecondary institutions in Puerto Rico which are part of the library consortia COBIMET. COBIMET is a non-profit organization that works collaboratively with its members to improve virtual library services and information skills in the digital era. The development of collaboration strategies for information sharing through interlibrary loans (ILL) services have become an important service to reduce the gap of information needed by researchers or scholars. These institutions implemented an automated online interlibrary loan system that was integrated to their electronic resources discovery system. The aim of this collaborative agreement was to reduce request time and to provide access to more information resources in a cost-effective manner. The article will present the rationale on implementing an automated ILL Request Process and project experiences.&#x0D; &#x0D; &#x0D;
Pengembangan Aplikasi E-Assessment Skill Programming berbasis Web

In online learning, lecturers cannot assess students' programming abilities optimally. This is because the lecturer cannot see directly step by step in making program code. It is very possible that the program code sent by the student was not the result of his work. The purpose of this research is to develop a web-based assessment application using Jupyter Notebook. The development method uses Research and Development (RD) with a quantitative descriptive approach to several development processes, including needs analysis, data collection, application design, testing, and implementation. The data collection technique uses literature study, observation, and documentation with data analysis using the Aiken'V validation test. The results of the research are the development of E-Assessment applications that can be used by lecturers and students in the programming learning process with the results of application system validation 0.88, application output 0.85, user security 0.85, display design 0.84, and user convenience 0.83 so that the E-Assessment application is suitable for use in assessing students on programming skills.
Efektivitas Penggunaan Lembar Kerja Peserta Didik (LKPD) Berbasis Model Project Based Learning Berbantuan Aplikasi Tracker dengan Pendekatan Saintifik pada Materi Gerak Harmonis Sederhana

This research is motivated by the demands of the 2013 curriculum which states that the 2013 curriculum was developed based on the challenges of advancing information technology, the rise of creative and cultural industries, and the development of education at the international level. Then, an innovation is needed in the form of developing learning models, learning resources and learning media that are in line with the demands of the 2013 curriculum, including LKPD as a simple learning resource that is easily understood by students, project based learning learning model as one of the recommended learning models in Curriculum 2013 and can improve the competence and creativity of students, and tracker applications as IT-based learning media that can compete at the level of international education. The purpose of this study is to produce project-based learning based learning LKPD with tracker application with scientific approach on Simple Harmonious Motion material with effective criteria. The LKPD that was developed was effective in improving students' competencies including knowledge competencies (84.13), attitude competencies (82.55), and skills competencies (83.48). The results of the study can be concluded that the LKPD developed is effective in improving the competence of students and can be applied to a broader scope.
The Effect of Organizational Silence on the Quality of Health Services: An Analytical Study on Al Diwaniyah Educational Hospital

This study discusses the effect of organizational silence on the quality of health.It tries to introduce a theoretical framework about the variables according to the previous literature .It also introduces an analytical framework for the opinions of the sample of (70) employees at Al Diwaniyah Educational hospital ( doctors, pharmacists, health and administrative professions ) .In addition, a sample of the patients of (80) people .The organizational silence as an independent variable is expressed through three dimensions (Acquiescent silence ,Defensive silence, Social silence) .The quality of service is adopted as a dependent variable.The researcher used the questionnaire as a tool to measure the variables of the study.The first section is devoted to measure organizational silence based on a scale of (Buroys, 2020), while the second section is accounted to measure the quality of health service based on the scale of (Yesilada & Direkto, 2010) .The researcher has used a set of statistical tools such as Pearson correlation coefficient , multiple regression analysis , F and R 2 tests .The study has found a set of conclusions and recommendations among them is the relationship of a statistically significant effect to the dimensions of organizational silence on the quality of health service in the hospital.
Digital-Game-Based Language Learning for Children: A Study in Vocabulary

In modern age, people can learn or acquire a second language with the help of technology. The development of technology allows people to create an application called Digital-Based Language Learning (DGBLL). An example of a game application used during research is Studycat’s “Fun English”. This thesis discusses the useof DGBLL in the learning of English vocabulary as a second language. This research is aimed to identify phonemes that are difficult to be pronounced by Indonesian children, to identify the supporting factors for second language acquisition, and to compare the results of before and after the use of DGBLL in children.The writer uses the purposive sampling method, participant observation or referred as the Simak Bebas Libat Cakap technique, and recording technique in collecting data. The recorded data will be analyzed in contrastive analysis method to investigate which phonemes are difficult for children to pronounce.There are three findings of the research. First, the findings show most of the children as subjects find it hard to pronouncethe phonemes [ʤ]; [ʈʃ]; [ð]; [θ]; [æ]; [ʌ]. Second, the findings show that an essential part a second language learning is motivation to learn the language. Third, DGBLL is a useful tool to improve the subjects’ English vocabulary.Keywords: DGBLL; second language acquisition; contrasitive analysis
Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments

Existing Data Stream Mining algorithms assume the availability of labelled and balanced data streams. However, in many real-world applications such as Robotics, Weather Monitoring, Fraud-Detection systems, Cyber Security, and Human Activity Recognition, a vast amount of high-speed data is generated by Internet of Things sensors and real-time data on the Internet are unlabelled. Furthermore, the prediction models need to learn in Non-Stationary Environments due to evolving concepts. Manual labelling of these data streams is not practical due to the need for domain expertise and the time-resource-prohibitive nature of the required effort. To deal with such scenarios, existing approaches are self-Learning or Cluster-Guided Classification (CGC) which predict the pseudo-labels, which further update the prediction models. Previous studies have yet to establish a clear and conclusive view as to when, and why one pseudo-labelling approach should be preferable to another and what causes an approach to fail. In this research, we propose a novel approach, “ <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Predictor for Streaming Data with Scarce Labels</i> ” (PSDSL), which is capable of intelligently switching between self-learning, CGC and micro-clustering strategies, based on the problem it is applied to, i.e., the different characteristics of the data streams. In PSDSL a novel approach called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Envelope-Clustering</i> has been introduced to resolve the conflict during the cluster labelling which suggested a confidence measure approach to ensure the quality and correctness of labels assigned to the clusters. The auto parameter tuning mechanism of PSDSL eliminates the human dependency and determines the best value of number of centroids from initial labelled data. The predictive performance of the PSDSL is evaluated on non-stationary datasets, synthetic data-streams, and real-world datasets. The approach has shown promising results on randomised datasets as well as on synthetic data-streams, as compared with state-of-the-art approaches. This is the first large-scale study on an adaptive extreme verification approach that supports automatic parameter tuning and intelligent switching of pseudo-labelling strategy, thus reducing the dependency of machine learning on human input.
Research on Perceived Trust-Driven Individual Duality Based on the Informatization Background

In this paper, SPSS and MPLUS are used for correlation and regression analysis to systematically discuss how perceived trust drives the formation of individual ambidexterity by influencing individual social capital under the background of the information age.The results show that perceived trust can promote the formation and development of individual ambidexterity; In this process, individual social capital plays a partial intermediary role by establishing cooperative and mutually beneficial relationship between individuals and other members to promote the efficient flow of information within the organization.;The influence of perceived trust on individual duality discussed in this paper opens up ideas for economic management of enterprises, and has important reference value for enterprises to realize informatization and unique competitiveness.
STUDENTS’ ABILITY IN USING SUBJECT VERB AGREEMENT IN WRITING AN ESSAY

This study aimed at finding out how the students' skills in using subject-verb agreement in writing essays. This research method is descriptive quantitative method. The research data was collected through the writing test as an instrument. The sample of this research was the fifth-semester students of English Education at the Alauddin State Islamic University of Makassar. The sample was taken by using simple random sampling. Based on the analysis and discussion about this research, the researcher concluded the researcher concluded that the students' ability to use the subject-verb agreement in the fifth semester students of English Education at the Alauddin State Islamic University of Makassar was categorized into very good level with a score was 88.24. This value is obtained based on the results of the scores of all students that are divided into the number of students who are the samples of this study. From 35 students, there were 7 students whose mastery levels were excellent, 16 students gained a very good level, 8 students whose mastery levels were good, 3 students gained a good level, 1 student gained a fair level, and no student gained a poor level. Moreover, the last level is very poor and no student gained this level.
DEPRESSION IN ELDERLY PEOPLE WITH CHRONIC WOUNDS TREATED AT THE SKIN COMMISSION

Objective: Verify the occurrence of depressive symptoms in the elderly with chronic wounds. Methodology: A descriptive, cross-sectional, quantitative study conducted with 40 elderly people at a University Hospital, using the Geriatric Depression Scale and a structured questionnaire with sociodemographic, clinical variables, lesion characteristics and a brief history of mental health. Results: There was a predominance of females (72.5%), brown (50.0%), Catholic (65.0%), married (50.0%), with incomplete primary education (55.0%), retired (92.5%), income between 1 and 2 minimum wages (62.5%), metabolic diseases (55.0%) and cardiac diseases (25.0%). The wounds were 55.0% venous ulcers, of which 85.0% are in the lower limb. Regarding the Scala scores, 40.0% presented symptoms suggestive of Depression. The elderly with venous wounds and located in the lower limb presented higher score of the depression median. Conclusion: Venous ulcers of the leg was a risk factor for the occurrence of Depression, which occurred in half of the elderly surveyed.Descriptors: Depression. Wounds. Aged. Health of the Elderly. Mental Health.
A Low-cost Home Monitoring Architecture for Human Activity Recognition Using Smartwatches

This paper describes the networking architecture of a smartwatch-based monitoring system for biosignal tracking and human activity recognition in home environments. To deploy the application on low-end cost-effective smartwatches and to avoid the high consumption of wider range transmission technologies, the data from the smartwatches are transmitted via Bluetooth Low Energy. In contrast with other similar projects, which require the user to transport an extra gateway node (e.g. a smartphone), our architecture is grounded on a low-cost ‘roaming’ mechanism supported by a scalable network of embedded platforms. A specific central node is in charge of optimizing the selection of the gateway at each moment depending on the signal level with which the data from the watch are received. Thus, smartwatches (or smartbands) become the only wearable of the networking application. The ongoing prototype has been initially employed to implement a basic fall detection application.
Directed Data Association for Single Object Tracking in Point Clouds

Single object tracking in point clouds is a fundamental component in enabling autonomous vehicles to understand dynamic traffic environments. Earlier tracking confidence only relies on IoU between two static boxes, ignoring the motion properties of objects, which may weaken the association abilities of trackers. To comprehensively associate an object with the estimated motion state, we introduce a directed representation. This representation factorizes the box of an object into its central position and orientation. To handle under-detection and over-detection problems, we also present an undirected range suppression mechanism that automatically enlarges and stabilizes the view field at the current time step. As a result, we build a single object tracking system that achieves high accuracy and real-time performance. On both KITTI and nuScenes tracking datasets, we demonstrate that our system outperforms other recent single object trackers in both accuracy and speed. Besides, we also validate the superiority of our approach compared to multiple object tracking methods.
SCIENTIFIC INNOVATIONS AND ADVANCED TECHNOLOGIES IN HIGHER EDUCATION

The modern transformation of the role of education affects the consideration and improvement of the methodological princes of education. At the same time, the constant development of the educational sector entails the justification of the use of certain scientific innovations and advanced technologies in the system of higher education, which is the actual task of this pedagogical research. The object of the study is innovation and advanced technology in higher education. The aim of the work is to highlight innovative means, methods, and technologies in higher education, which are promising mechanisms for improving the university system of Latvia. Pedagogical methods of research (theoretical and empirical) are used in the work. Among theoretical methods of pedagogical cognition, we will distinguish analysis, synthesis, concretization, and abstraction, systemic and functional methods. The empirical methods of research used observation, experiment, and rating method, the basis of which formed the key recommendations for the implementation of the analyzed learning technologies. The results analyzed a number of problems, in particular, the issues of innovative changes in European higher education, modern advanced technologies of learning in higher education, innovative, methods, forms of development of higher education, the problem of STEM-education functioning in Latvia. The scientific novelty of the research is the proposed synthetic analysis of actual innovative methods and technologies in the system of higher education. The practical value of the work consists in the formation of recommendations for further use of innovative methods of higher education development. In the conclusion, it is summarized that the use of innovative teaching methods is an important part of modern European education. At the same time, the main advanced technologies turn to the individual development of the student, improvement of his practical skills.