Reviewerly/exHarmony huggingface dataset:
iVehicle: Vehicle based Natural Language Processing Search Engine

People constantly utilize technological advances, such as smart devices, to make their daily lives easier.The majority of those folks prefer to communicate with machines using natural language.The goal of this study is to develop a natural language search engine for purchasing and selling vehicles.When searching using text or voice, the system will provide the best results for the user.There are a few search engines where a user can search for what they need in natural language, yet the user is frustrated since the search engine does not provide the best possible results.A search in natural language, such as English, is conducted using conventional spoken language, such as Google or Bing.Users may be necessary to visit a variety of different websites and search engines while searching for vehicles and parts.When browsing for vehicles, the searcher is usually presented with a list of records rather than genuine search results due to inaccuracy and duplication of search results.People's preferred search engine was frequently interfering with their own internet results, causing annoyance, and recurring difficulties with online search vehicles.The reason for the delay in delivering results is partly due to the volume of results that a natural language search is expected to return.This approach tries to make it easier for users to access information about vehicle purchasing and selling, as well as facts about the vehicle price process, through a specially designed mobile and web application.This system, which will be developed in both Sinhala and English, has been designed.Because of the illiteracy of the population, that system was created to conduct voice searches.Machine learning technology will be used to create this system.
Analisa Perbandingan Citra Hasil Segmentasi Menggunakan Metode K-Means dan Fuzzy C Means pada Citra Input Terkompresi

&lt;p&gt;&lt;em style="text-align: justify; text-indent: 14.2pt;"&gt;&lt;span style="font-family: 'Times New Roman',serif; mso-ansi-language: EN;" lang="EN"&gt;In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;&lt;pre style="text-align: justify; text-indent: 14.2pt;"&gt;&lt;em&gt;&lt;span style="font-family: 'Times New Roman',serif; mso-ansi-language: EN;" lang="EN"&gt;In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.&lt;/span&gt;&lt;/em&gt;&lt;/pre&gt;
LOCAL LANGUAGE KEYPAD: KEYBOARD BAHASA DAERAH BERBASIS SMARTPHONE SEBAGAI MEDIA PELESTARIAN BAHASA DAN SASTRA DAERAH

The region language and region literature in Indonesia is priceless and must be preserved. Each region has a variety of languages from different groups and become a cultural characteristic of certain region. However, the era of globalization and the development of information technology threatens the existence and preservation of regional languages which is prone to be replaced. The lowering number of speakers and the invasion of foreign languages are the main indicators of the deterioration of the existence of regional languages and literature. One of the efforts to restore the passion of regional language and regional literature is to develop a regional language keyboard that is easy to use by users of all age.&#x0D; The main purpose of the development of regional language keyboards is to introduce regional languages, especially to the younger generation who are beginning to be exposed to globalization so that they tend to forget the language and literature of the region. The keyboard is built with a natural language processing and smartphone-based approach. The Technology Preparedness Level (TKT) is at level 6, which means a demonstration of a model or prototype of a system or subsystem in a relevant environment.
What to Play and How to Play it: Guiding Generative Music Models with Multiple Demonstrations

We propose and evaluate an approach to incorporating multiple user-provided inputs, each demonstrating a complementary set of musical characteristics, to guide the output of a generative model for synthesizing short music performances or loops.We focus on user inputs that describe both "what to play" (via scores in MIDI format) and "how to play it" (via rhythmic inputs to specify expressive timing and dynamics).Through experiments, we demonstrate that our method can facilitate human-AI cocreation of drum loops with diverse and customizable outputs.In the process, we argue for the interaction paradigm of mapping by demonstration as a promising approach to working with deep learning models that are capable of generating complex and realistic musical parts.
Distance Perception in Virtual Reality: Comparing Modern Headsets to the Real World

Egocentric distance in virtual reality (VR) has been underperceived compared to the real world for decades.This study compares egocentric distance perception in two modern VR headsets, the Oculus Quest and Oculus Quest 2, to the real world using blind walking and verbal distance judgments.Participants made egocentric distance judgments to an object 1-5 meters away in either a real environment or matched virtual environment.Verbal and blind walking distance judgments were more accurate in the real world than in the Oculus Quest and Oculus Quest 2. However, there was no significant difference in either verbal distance judgments or blind walking judgments between the Oculus Quest and Oculus Quest 2. This indicates that egocentric distance perception continues to be a problem in modern VR headsets.
Multi-Documents Extractive Text Summarization using Node Centrality

The advancement of technologies produce vast amount of data over the internet. The massive amount of information flooded in the webpages become more difficult to extract the meaningful insights. Social media websites are playing major role in publishing news events on the similar topic with different contents. Extracting the hidden information from the multiple webpages are tedious job for researchers and industrialists. This paper mainly focuses on gathering information from multiple webpages and to produce summary from those contents under similar topic. Multi-document extractive summarization has been developed using the graph based text summarization method. Proposed method builds a graph between the multi-documents using the Katz centrality of nodes. The performance of proposed GeSUM (Graph based Extractive Summarization) is evaluated with the ROUGE metrics.
Analysis on Cyber Security Development of Intelligent and Connected Vehicles in China

At present, intelligent networked vehicles have become the key focus and strategic commanding point of the new round of development and reform of emerging industries in the world, and are in the critical stage of rapid technological evolution and accelerated industrial layout.It is extremely urgent to strengthen the network security of intelligent vehicles and promote the safe development of intelligent networked vehicles.The network security problem of intelligent networked vehicles may bring risks in the aspects of environment perception, network transmission, decision execution and driving control.As the software of automotive electronic platform has entered the stage of billions of lines of code, the inevitable security loopholes will cause a lot of risks.In addition, all kinds of data collected by vehicles and the privacy of users involved also need to be fully guaranteed.Therefore, ensuring the safety of automotive network will be one of the key elements of the transformation and upgrading of China's automotive industry towards a new era, and it is also an important measure to maintain cyberspace security, social security and even national security.
Pengaruh Penggunaan Metode Jigsaw dan Minat Baca Terhadap Keterampilan Membaca Pemahaman pada Siswa Sekolah Dasar

This research is motivated by a phenomenon that occurs in the field, namely students have difficulty in reading comprehension. This can be seen from the low scores obtained by students in reading comprehension. This phenomenon makes researchers interested in conducting research. This study aims to obtain information about the effect of using the Jigsaw method and reading interest on reading comprehension skills for elementary school students. This type of research is quantitative research with a quasi-experimental method. Sampling technique The sample in the population is taken using the Simple Random Sampling (SRS) technique. The research data were collected using a reading interest questionnaire and a reading comprehension skill test. The results showed that: (1) the reading comprehension skills of students who were taught using the jigsaw method were higher than the students' reading comprehension skills taught by the conventional method, (2) the reading comprehension skills of students who had high reading interest taught by the jigsaw method were higher. than the reading comprehension skills of students who have high reading interest who are taught by conventional methods, (3) the reading comprehension skills of students who have low reading interest who are taught by the jigsaw method are higher than the reading comprehension skills of students who have low reading interest who are taught by conventional methods , and (4) there is no significant interaction between the jigsawl method and students' reading interest on reading comprehension skills. Based on the research conducted, it can be concluded that reading comprehension skills for elementary school students increase when using the jigsaw method and are associated with reading interest.
Inspection of Electric Power Distribution Systems with SCRDet

Faults in power distribution systems are among the factors that most affect the quality and continuity of the electric power supply, leading to higher operational costs and user dissatisfaction. Given this problem, this research applies deep learning techniques to develop an application capable of detecting utility poles in images, their angles, and the presence of fuse cutouts and their status (open or closed). The result is a system that can be used, among other applications, to detect or prevent faults in power distribution systems and as an asset inventory tool. We hypothesized that it is possible to use methods that perform well in the Dataset for Object Detection in Aerial images (DOTA) to accomplish this result, so, through the review of state of the art in object detection, we choose the SCRDet network to implement. Since there was no publicly available dataset with images of poles and fuse cutouts, we built it from scratch. Through the training and test, it was possible to evaluate the results and make adjustments, reaching a satisfactory result that has proven the viability of such application.
ANALISIS KESALAHAN BERBAHASA PADA PENULISAN SURAT DINAS KARYA SISWA KELAS VII A MTS SALAFIYAH II RANDUBLATUNG

AbstractThis research was conducted with the aim to describe the forms of language errors which include errors at the syntactic level, errors in punctuation in class VII A Letter of Mts Salafiyah II Randublatung.The form of this research approach is a qualitative descriptive approach. Data colection in this study is observation of observation data collection is done through observation,interviews and in person. Data collection techniques used are read and note . ,research findings and discussion of language error analysis in writing official letters conclusions can be drawn as follows: (1) language errors at the syntactic level found 4 errors (2) errors at the dot occurred 8 errors (3) comma errors occurred 22, (4) dash error occurs 2 errors, (5) colon error occurs 4 errors, (6) hyphen error occurs 1 error, (7) slash error occurs 4 errorsKeywords:errors in official letters isi abstrak inggris
Rancang Bangun Sistem Informasi Rekam Medis (Studi Kasus: Klinik PKU Muhammadiyah Gandrungmangu)

Health Services at the PKU Muhammadiyah Gandrungmangu Clinic have not made much use of information technology. Documentation of patient medical records still uses a manual recording system, causing various obstacles; for example, officers often find the same medical record number and difficulties making reports. Thus, creating a medical record information system is necessary to help manage medical record data electronically. The system was developed using the prototyping method. This system has several features: medical record management, user management, reporting system, input checking feature for vital sign results, uploading feature for supporting examination results, and patient queuing system for each poly. The results of the user convenience test using the SEQ method obtained an average value of 6 and 7. The usability test results using the SUS method also got a good response from the questionnaire questions given to the respondents, which got a total score of 90.6, meaning that the system has an excellent usability level.
Solar Panels Crack Detection using Overhead Images

Abstract: Many countries like India have been working on plans to shift from conventional energy sources to renewable, and solar energy is one of them. The technology of Solar Panels faces defects on a large scale. These defects can be within the cells or on the panel as a whole. Management authorities require automated systems to detect the physical faults on the solar panels. These faults can either be detected by physically looking at the panels or through the energy supply, which requires Machine Learning models. This paper proposes a model with 95.34% accuracy that can be deployed on drones and automatically check for physical damage on the panels. We collected the dataset manually from the internet, cleaned and split it into training and validation parts. Data augmentation was performed to get a better view of the functioning of the model. Keywords: Solar Panels, Solar Energy, Renewable Energy, Deep Learning, Machine Learning.
WILLINGNESS TO COMMUNICATE AND ITS INFLUENCING FACTORS AMONG INDONESIAN PRE-SERVICE TEACHERS

Willingness to communicate (WTC) can be defined as the readiness of a language learner to enter communication situation. This study aims to identify factors affecting pre-service teachers’ WTC and to explore their perspective on the importance of WTC in relation to the study program. The study implemented both quantitative and qualitative method in order to gain deeper understanding from questionnaires and interview data. Questionnaires were used to explain interrelated relationship between variables affecting WTC among pre-service teachers. Interview data were used to report their perspective on the significance of WTC in relation to their study program. The result inferred that pre-service teachers have relatively high WTC. Motivation variable scale indicated direct positive relation to pre-service teachers’ WTC while anxiety showed a negative relationship. Language learning beliefs items were reported to be moderately agreed upon among pre-service teachers influencing their WTC. Interview result inferred that pre-service teachers mostly agreed upon the significance of enhancing WTC among learners. Implications for learning as a result from this study suggested that teachers and curriculum makers to improve teaching techniques and approaches in order to enhance learners’ WTC.
MicroED: conception, practice and future opportunities

In 2013 we unveiled the method Microcrystal Electron Diffraction (MicroED) and demonstrated that it is feasible to determine high-resolution protein structures by electron crystallography of three-dimensional crystals in an electron cryo-microscope (CryoEM).The CryoEM is used in diffraction mode for structural analysis of proteins of interest using crystals that are a billionth the size of what is needed for x-ray crystallography.In this seminar I will describe the basics of this method, from concept to data collection, analysis and structure determination, and illustrate how MicroED can be used for high throughput drug discovery.
CREATIVE ACTIVITIES FOR ACQUIRING GEOMETRY KNOWLEDGE DURING THE PROCESS OF EDUCATION IN GRADE 3

The article systematized some theoretical concepts related to creativity as process and activity.&#x0D; The researcher analyzed the expected results from the education in mathematics in grade 3 and particularly from competency Cluster “Geometry figures and bodies” included in the educational program approved by the Ministry of Education of the Republic of Bulgaria. A new methodology system of work was developed and tested. The system includes tasks of a type that will facilitate the students to perform creative activities. Some of these tasks are presented in the research work.&#x0D; Results of the empiric study have been processed using mathematics-statistics methods and are graphically presented. The results demonstrated that the students successfully performed creative activities during the process of acquiring geometry knowledge. &#x0D; The problem-productive strategy of education applied during education in mathematics for grade 3 students provoked them to perform creativity activity and created preconditions for development in the students of knowledge, skills, competences, and competencies related to geometry figures.
EFEKTIVITAS PEMBELAJARAN DARING DENGAN MEDIA ONLINE BERBASIS GOOGLE CLASSROOM PADA POKOK BAHASAN GELOMBANG TERHADAP HASIL BELAJAR SISWA SMA N 2 TONDANO

Learning is the most important activity in the entire educational process in school. The outbreak of the Corona Virus Disease 2019 (Covid-19) pandemic has had a major impact on all existing areas; teaching and learning processes are also carried out at home online or online via Google in the education sector. This study aims to determine the effectiveness of online learning with Google-based online media classroom waves on the physical learning outcomes of SMA Negeri 2 Tondano students This research method is an experimental method. The research data are based on the post-test results. The average physics learning outcomes of the experimental class students was 82 with a maximum score of 90 and a minimum score of 70. While the average physics learning outcomes for the control class students was 62 with a maximum score of 80 and a minimum score of 50, normality test of the data showed that the experimental class data and the control class are normally distributed, then the hypothesis is tested. Data on student learning outcomes from the post-test. The results of the investigation by calculating the t-test formula show that the H_O hypothesis is rejected. From this it can be concluded that the average learning outcomes of the experimental physics class are higher than those of the control classes.
JAn Embedded Case Study on the Roles of School Principals

Education is the most important tool which helps youth to lead healthy and fulfilling career.It is one area governments all over the world focus to have a happier and prosperous nation all times to come.To provide quality education there should be a school with a good policy, a good learning environment, good facilities, motivated staff, and so on.To have these conditions, it is vital to have good leadership.Principals in the school play an important role in the functioning and managing of the school effectively.On the contrary, the quality of education in Bhutan is questioned as never before.Schools of Bhutan came under public scrutiny where the quality of education is being questioned as never before.In such a situation each stakeholder blames the other for the deterioration of quality.In school, teachers blame poor leadership and principals blame the quality of teachers for the same.Considering such an issue, the topic was chosen to study how leadership roles impact teachers' performance in schools.A qualitative research design was used to find out attributes of principals in selected schools in Thimphu where most senior and qualified principals manage the schools.For this study, an in-depth study was conducted for two schools from Thimphu Dzongkhags by interviewing three teachers from each school.To cover more schools and to make the result more comprehensive, three aspiring vice-principals to become principals in future were also interviewed based on the interview questionnaire prepared.A semi-structured interview schedule was used based on the study's research questions.Data generated from the interview questions concerning professional capability were analyzed and thematically coded by the researcher.Through this study, the researcher provided insights and implications for school principals which would greatly help principals to run effectively on refraining from the exhibition of such qualities.
Hit that push button: Using LinkedIn to improve your reputation and writing

Are you tired of waiting to publish your peer-reviewed article? Anxious to get your ideas out there to a broad range of people? Then consider publishing on LinkedIn.