Reviewerly/exHarmony huggingface dataset:
Pelatihan Mendeley Bagi Guru dan Calon Guru PAUD di Kota Jayapura

This activity is entitled "Mendeley Training for Teachers and Prospective PAUD Teachers in Jayapura City". The target number who attended the activity was 24 people. The purpose of this activity is to facilitate and train teachers and prospective PAUD teachers in Jayapura City to be able to use Mendeley as a reference manager. The methods applied in this training are presentations, questions and answers, and hands-on practice. In carrying out this activity, the skills and competencies developed are the ability to manage references in scientific writing and the ability to make citations. Based on the results of the evaluation carried out, data were obtained showing that of the 24 participants, there were 20 participants (83.33%) who were in the very good criteria, 3 participants (12.5%) were in the good criteria, and 1 participant (4 ,17%) is in the criteria of good enough. This shows that this training activity can improve the ability and competence of participants in using Mendeley as a reference manager.
Making Sense of Sensors

This chapter presents human relations with a smart building, the purpose of which is to detect events or changes in the built environment and provide feedback to people about indoor and outdoor conditions. In our study, we show that the state-of-the-art building, equipped with technological solutions, does not necessarily guarantee the well-being and satisfaction of its occupants. On the contrary, the “smartness” of the building often proves to be a source of discontent and disappointment, especially when it tries to appropriate agency from the people and make independent choices regarding their needs and wants. In such cases, people tend to find innovative solutions for outsmarting the building and taking back control. In this chapter, we identify such examples and explain why it is necessary to highlight the needs, analyse the expectations and study the habits and practices of people before we start designing smart buildings. By combining methods from anthropology and data science, we can better understand human practices in a smart building and design more efficient, people-friendly technologies. In this way, we can truly make sense of thousands of sensors and the data collected by them.
A New Hybrid Decision Tree Algorithm with K-Nearest Neighbour for Cross Border Payment Risks

The technological advancement have aided in the dramatic growth in solving payment risks through the E-Commerce Applications. While blockchain technology was first developed to underpin Bitcoin, its potential uses outside that digital currency are also being investigated. Blockchain technology can be used to speed up the process in transactions, offered secured platform and resolve payment risks. Earlier to this development, the organization and companies are on huge demand of a finding a right solution to solve the payment risks, have to travel across border in search of it. This challenge is overcome with the technological advancement with blockchain. In this research, cross border based DTA-KNN model. KNN is utilized to perform the analysis in comparison with the neighbor countries and DTA performs choosing the right payment gateway through cross-borders. The proposed model is compared with the existing algorithms such as DTA and KNN for the entire processes. The results show that the hybrid model has achieved higher accuracy of 99.89%.
Entropic DDoS Detection for Quantum Networks

Distributed Denial-of-Service (DDoS) attacks are a significant issue in classical networks. These attacks have been shown to impact the critical infrastructure of a nation, such as its major financial institutions. The possibility of DDoS attacks has also been identified for quantum networks. In this theoretical work, we introduce a quantum analogue of classical entropic DDoS detection systems and apply it in the context of detecting an attack on a quantum network. In particular, we examine DDoS attacks on a quantum repeater and harness the associated entanglement entropy for the detection system. Our results extend the applicability of quantum information from the domain of data security to the area of network security.
Pelatihan Pembuatan Website Memanfaatkan Wix Untuk Blog Pribadi Pada Siswa SMAN 2 Gunung Talang

In the current digitalization era, it is necessary to be familiar with technology in addition to current developments.Even though they are miles away from where we are, humans can now quickly exchange information.The development of technology that makes human work easier has made this possible.Technological developments began with the development of the internet.The Internet is a global network of computers that can connect all computer users in networks all over the world to quickly and accurately exchange data and observations.As a result, students at SMAN 2 Gunung Talang must also be able to present articles, information, or news in order to learn how to create a website. However, students are not just readers of information.Students can also create opportunities and provisions for global content creators.
Multi-Regression Analysis of Factors Influencing Perceived Academic Writing Competence (PAWC) of Vocational School Students

Most upper-semester students who fail to graduate have an issue with their perceived academic writing competence (PAWC). PAWC is associated with writing self-efficacy (WSE) and writer's block (WB). Thus, improving WSE and decreasing WB are crucial for succeeding in the final project writing of the upper-semester students. Only limited studies focused on exploring academic writing practice for vocational students by survey strategy. This study used a quantitative approach to test the hypothesis that WSE and WB positively affect PAWC. Respondents were selected using random sampling involving 200 students from a vocational school in Surakarta. Respondents filled survey about PAWC, WSE, and WB consisting of 18 items. The hypothesis was tested by multiple regression analysis. The study results revealed that WSE and WB are positively correlated with PAWC. This research implies that faculty members are advised to focus on encouraging WSE and reducing WB to improve AW competence through curriculum improvements. With the increase in students' academic writing skills, the classic problem of late completion of studies due to late writing of the final project can be solved.
An application of Vietnamese handwriting text recognition for information extraction from high school admission form

This paper presents an effective Vietnamese handwritten text recognition model by applying an improved convolutional recurrent neural networks (CRNNs) model to high school enrollment forms in Tay Ninh province, Vietnam. First, the proposed model extracts data areas containing text characters from forms. Then, we connect text boxes on the same row and divide the fields that containing text into three specific regions. Finally, we detect areas containing text characters for handwritten text recognition. We use word error rate (WER) to evaluate the recognition process and obtain a result of 0.3602. This result is one of the best solutions to the Vietnamese handwritten text recognition problem.
A Classification Method of Power Unstructured Encrypted Data Based on Fuzzy Data Matching

With the development of the digital development transformation of the power grid, the classification of power unstructured encrypted data is an important basis for data security protection. However, most studies focus on exact match classification or single-keyword fuzzy match classification. This paper proposes a fuzzy matching classification method for power unstructured encrypted data. The data owner generates an index vector based on the power unstructured file, and the data user generates a query vector by querying the file through the same process. The index and query vector are uploaded to the cloud server in encrypted form, and the cloud server calculates the relevance score and sorts it, and returns the classification result with the highest score to the user. This method realizes the multi-keyword fuzzy matching classification of unstructured encrypted data of electric power, and through the experimental simulation of a large number of data sets, the effect and feasibility of the method are proved.
DIGITAL LIBRARY AND INFORMATION TECHNOLOGY

This work aims to present research results on the use of information technology by Digital Libraries in the field of Information Management.The project is structured in three phases: (i) Study of Search Models and Informational Behavior of Information Users on the Web; (ii) Technological Infrastructure and Computing Resources Applied in Digital Libraries; and (iii) Search Tools, Access, Appropriation, and Use of Information on the WEB.The aim of this study is to verify, based on the appropriation that Libraries and Digital Repositories have made of collaborative technologies in digital information environments and open systems, the best practices in the management of computational resources infrastructure with a focus on proposing methodological guidance that can indicate Information Technology Governance practices in Digital Libraries.
Identifying and Profiling User Interest over time using Social Data

With immense population growth in recent years, social data is growing at a rapid pace, which in turn can prove to be a rich source of hidden information. This work focuses on identifying user interest in electronic products, especially smartphones, using social data. This will help electronic businesses in the personalized marketing of their products. From the literature, most of the existing approaches attempted to identify user interest based on their ratings. In our understanding, the contents of reviews are equally important in identifying people's interests. Therefore, in this paper, we proposed a framework that identifies user interests based on their reviews and their ratings. Moreover, it performs an analysis of the aforementioned reviews, and profiles user interest. To achieve this, we used website data, written in the Roman Urdu language. To the best of our knowledge, very limited research has been carried out on the Roman Urdu dataset, as it is considered a low-resource language. Concerning our methodology, we first performed topic modeling using Latent Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers (BERT), and a hybrid of both. Based on the identified topics, we performed user interest profiling based on the probabilities of each model/brand using the Top2Vec model. We compared our results of topic modeling using reviews and reviews plus ratings. For topic modeling, we measure coherence score which we observe 52% for the hybrid approach while 47% and 45% for “BERT” and “LDA” respectively. Finally, For topic modeling, we perform human-based validation by comparing human-identified topics with the ones identified by our model.
A multiscale dilated convolution and mixed-order attention-based deep neural network for monocular depth prediction

Abstract Recovering precise depth information from different scenes has become a popular subject in the semantic segmentation and virtual reality fields. This study presents a multiscale dilated convolution and mixed-order attention-based deep neural network for monocular depth recovery. Specifically, we design a multilevel feature enhancement scheme to enhance and fuse high-resolution and low-resolution features on the basis of mixed-order attention. Moreover, a multiscale dilated convolution module that combines four different dilated convolutions is explored for deriving multiscale information and increasing the receptive field. Recent studies have shown that the design of loss terms is crucial to depth prediction. Therefore, an efficient loss function that combines the ℓ 1 loss, gradient loss, and classification loss is also designed to promote rich details. Experiments on three public datasets show that the presented approach achieves better performance than state-of-the-art depth prediction methods.
THE EFFECTS OF TEACHING TECHNIQUES TOWARDS STUDENT’S READING SKILL AT VOCATIONAL HIGH SCHOOL IN SOUTH JAKARTA

The purpose of this study was to: determine the interactional effects of teaching technique towards student’s reading skill that was taught by role plays and filling information gap (both are communicative language teaching) to the students. The research method used was experimental one. Sample size of 60 students consisting of 30 for experimental class and 30 for control class taken from Vocational High School in South Jakarta, and the sampling technique used is cluster sampling. Research instruments used were the test to distinguish the effect of teaching techniques towards student’s reading skill in the form of oral test (5 items for scoring), that have been tested valid and reliable with coefficient of reliability at 0.839 and 0.705. The research uses two-ways ANOVA test. The result showed there is a significant effect of teaching technique towards student’s reading skill, as Fobserved = 95.553 &gt; Ftable = 2.77 and Sig = 0.000 &lt; 0.05. The results contribute most to the increasing of student’s reading skill.
MEDIA PEMBELAJARAN MATA KULIAH SINEMATOGRAFI MENGGUNAKAN FILM MIRACLE IN CELL NO.7 VERSI INDONESIA

The formulation of the research problem studied raised the learning media for the cinematography course using the Miracle In Cell No. film. 7 versions of the Indonesian language that use the variables of movie viewing (X) and viewing interest (Y) with the aim of testing students' films among students who watch film shows. Miracle In Cell Indonesian version No.7. Quantitative descriptive analysis with the method used in the study by distributing questionnaires to a sample of 62 students of the Faculty of Communication and Language Sciences, University of Bina Sarana Informatika, Kalimalang Branch. This study uses analytical techniques using regression testing to test the hypothesis. It can be concluded that it is very influential by looking at the results of hypothesis testing, it is obtained tcount 3,369 &gt; ttable (? 60) of 1,671 besides that based on the probability value it can be seen that the probability value (sig) of 0.001 &lt; 0.05, then Ho is rejected and H1 is accepted.
An Efficient Framework for Accurate Liver Segmentation in Abdominal CT Images with Low Knowledge Requirement

Liver segmentation from abdominal computed tomography (CT) images is a primary step in the diagnosis and treatment of liver cancer, but previous liver segmentation methods have the problems of excessive demand for prior knowledge, under- and oversegmentation, and boundary leakage. To solve these problems, this paper proposes a new method of liver segmentation to assist doctors in medical judgment. Firstly, a liver reconstruction algorithm is proposed to obtain the approximate initial region of the liver, which reduces the requirement of prior knowledge and can reconstruct the liver region closer to the liver boundary. Then, we refine the edge of the liver region based on the reaction diffusion level set (RD level set). This edge refinement method can effectively deal with the weak boundary problem, prevent under- and oversegmentation, and obtain a more accurate liver region. Our method is verified on the clinical and public datasets, respectively. The segmentation results in terms of mean VOE, RVD, ASD, RMSD, and MSD on dataset Sliver07 are 5.1%, −0.1%, 1.0 mm, 2.0 mm, and 18.2 mm, and on dataset 3Dircadb are 8.1%, −0.2%, 1.5 mm, 2.4 mm, and 20.8 mm, respectively. Compared with the previous algorithms, the experiment results show that this method has a great improvement in accuracy with less prior knowledge. The liver reconstruction algorithm proposed in this paper can obtain a more accurate initial liver region, reduce the requirement for prior knowledge, and reduce time costs compared with the level set algorithm.
GARBHASHAYASRIJI VIREKAH: A CRITICAL UNDERSTANDING OF THE MODE OF ACTION OF VIRECHANA IN ASRIKDARA

Abnormal uterine bleeding (AUB) may be acute or chronic and is defined as bleeding from the uterine corpus that is abnormal in regularity, volume, frequency, or duration and occurs in the absence of pregnancy. The category of AUB, characterized by an increase in the volume and frequency of menstrual bleeding (Artava), is correlated to the condition of Asrikdara. The present study aims to correlate the spectrum of diseases considered under the broad concept of “Asrikdara” and substantiate the mode of action of virechana at various pathological levels in treating Asrikdara. Artava, which attributes its feature similar to rakta dhatu, is agneya in nature and dosha associated is pitta. Thus, indicating virechana to be the line of treatment advocated for the diseases of artava. Further, concerning the definition of Asrikdara, the following spectrum of pathologies/disease conditions can be attributed to the broad concept of Asrikdara: asrija/apraja, lohitakshara, raktayoni, kunapa gandhi artava, vandhya, pittavrutha apana, rakta dushti, raktapitta and raktavrudhi. Virechana helps the samprapti vightana in each condition mainly due to its pittahara, rakta shodhaka, sroto shodhana and avarana hara action.
Digital Student Examination System of Cebu Normal University - Balamban Campus in the New Normal: Analysis and Implementation

This study aimed to modernize the current examination process by implementing a digital student examination of Cebu Normal University -Balamban Campus.The study made use of the computers sets for the authorized users.The results showed that the faculty and administering instructor could easily monitor the exams after the program was put in place.Prior to the actual exam day, the system enables Faculty and authorized workers to change their questions and answers.For purposes of authenticity, students from a specific class must fill out the student information that is displayed on the computer screen.They can see the randomize examination and would not be able to compare their answers.Since it is in digital format, therefore the results are delivered right after the examination.The digital system had been capable of providing a variety definition of examination as to its perspective; therefore, the digital examination elevates the manual examination that has been practiced and adapted that may scale down the epitome of producing effective learning.The activity promotes effectiveness of a computer-based product that involves proper handling during quality assurance to students.Therefore, to adapt the digital student examination for a quicker and more effective way to deliver the right assessment and evaluation system in response to the demands of the academe-industry scenario of the twenty-first century, the administration and faculty of this successful university get to familiarize themselves with the system.
Development of Interactive Learning Media Kersosmi Bunisa Social Science Class IV Elementary School

Abstrak:Â Tujuan penelitian dan pengembangan ini yaitu menghasilkan media pembelajaran interaktif Kersosmi Bunisa (Keragaman Sosial, Ekonomi, Budaya, Etnis, dan Agama) aplikasi android yang valid menurut ahli materi, ahli media, dan guru, serta praktis menurut peserta didik. Model penelitian dan pengembangannya menggunakan R&amp;D oleh Borg dan Gall dengan tahapan potensi dan masalah, pengumpulan data, desain produk, validasi produk, revisi produk, uji coba produk, revisi produk, uji coba pemakaian, revisi produk, danÂ produksi massal. Hasil dari ahli materi sebesar 91,7 persen, ahli media sebesar 87,5 persen, dan guru sebesar 92,8 persen. Semuanya dengan kriteria sangat valid dan dapat digunakan tanpa revisi. Hasil angket respons peserta didik tentang kepraktisan pada uji coba produk skala kecil sebesar 100 persen dan uji coba pemakaian skala besar sebesar 94,2 persen dengan kriteria sangat praktis dan dapat digunakan tanpa revisi.Media pembelajaran interaktif Kersosmi Bunisa direkomendasikan untuk meningkatkan minat belajar siswa, menunjang efektivitas, efisiensi, dan peningkatan mutu pembelajaran IPS kelas IV.Abstract:Â The goal of this research and development was to create Android applications for Kersosmi Bunisa (Social, Economic, Cultural, Ethnic, and Religious Diversity) that are valid in the eyes of material experts, media experts, and teachers, as well as practical in the eyes of students. Potential and difficulties, data collecting, product design, product validation, product revision, product testing, product revision, user trial, product revision, and mass manufacturing are all steps in the Borg and Gall research and development paradigm. Material specialists scored 91.7 percent, media experts scored 87.5 percent, and educators scored 92.8 percent. These belong to very valid criterion and can be employed without revision. The findings of the student response questionnaire on practicality in small-scale product testing were 100 percent, and large-scale usage trials were 94.2 percent, which means very practical and may be used without revision. Kersosmi Bunisa interactive learning media is recommended for class IV social studies learning to boost student interest in learning, support effectiveness, efficiency, and improve quality.
Peningkatan Keterampilan Menulis Puisi dengan Menggunakan Media Kincir Pintar pada Siswa Kelas VIII SMP Negeri 1 Kahu

This study aims to identify and describe the improvement of students poetry writing skills using the smart wheel media. This research is a classroom action research (CAR). The problem that is found in the implementation of this research in general is the lack of skills of class VIII-A students of SMP Negeri 1 Kahu in learning to write poetry texts. shows that the results of the implementation of learning to write poetry texts in class VIII-A students are still low and improvements are needed to improve learning outcomes. The improvement solution offered by researchers to fix problems in learning is the use of smart wheel media in learning to write poetry texts. The results of increased learning in terms of process are indicated by an increase in student activity in the implementation of the results of observing teacher activities in the first cycle of 69,64% and the second meeting of 76,78% of the fourteen assessment indicators. The increase in the results of observation of teacher activities in the second cycle of the first was 89,28% and the second meeting was 96,42% of the fourteen assessment indicators. The results of the observation of student activities in the first cycle of the first meeting were 66,07% and the second meeting was 78,57% of the fourteen assessment indicators. The results of the observation of student activities in the second cycle of the first meeting were 91,07% and the second meeting 98,21% of the fourteen assesment indicators. The improvement in terms of learning outcomes to write poetry texts is indicated by the avarage score of students in cycle I is 61, and the average value of students in cycle II is 78. Thus the use of smart wheel media can improve learing to write poetry in terms of process and results learning.Keywords: improvement, writing poetry, smart wheel media.
Penggunaan Media Pembelajaran Powerpoint Interaktif Untuk Peningkatan Prestasi Belajar Bahasa Inggris

The results of the study using interactive powerpoint learning media can improve English learning achievement in reading narrative text material in the field of office management and business services expertise for class X students of SMK Negeri 3 Linggabuana Purwakarta in the 2022/2023 academic year. It can be proven that in cycle I there were only 15 students who were able to achieve KKM or 39%. In the second cycle of learning activities, 65% or 25 students reached the KKM with an average score of 67.23. Furthermore, in cycle III learning activities it can be proven that the use of interactive Powerpoint learning media can increase student learning activity and learning achievement which is very significant. This can be seen based on statistical analysis of all students achieving KKM = 65 or 100% have achieved KKM = 65 with an average grade of 78.28