Reviewerly/exHarmony huggingface dataset:
Method of Cadastral Mapping in Local Town Cadastral Survey

This paper mainly focuses on the in-depth study of cadastral survey methods in urban cadastral survey, and puts forward some cadastral survey methods, such as above-mentioned technology, global positioning technology, geographic information system, aerial photography surveying and mapping technology, digital surveying and mapping technology, etc., to ensure the convenience and rationality of the application of cadastral surveying and mapping methods, to continuously improve the level of urban cadastral survey, and to ensure the smooth completion of urban cadastral survey.
E-HEALTH BERBASIS MOBILE UNTUK MENINGKATKAN LAYANAN KLINIK

E-health is a public service consisting of information and communication technology linked to all functional elements that serve the health sector as a knowledge base. Prospective patients must still fill out a registration form to complete the data at the Ngudi Waluyo Clinic, which results in long lines. Furthermore, information about outpatient registration procedures and practicing doctors is difficult to access, and patient medical records are still written in notebooks traditionally. As a result, searching for patient history data will take a long time, and there is no backup of these records, which can cause data loss at any time. This study aims to develop mobile-based e-health to improve clinical services and make it easier for the public to obtain health services. The system was developed using the extreme programming method applied in mobile applications by utilizing PHP as programming language and MySQL as a database and system testing using the ISO 25010 standard. Through e-health, patients can register outpatients anytime and anywhere without queue, improving the quality of service at the Ngudi Waluyo clinic. Based on the testing results on ten respondents, it was found that the developed e-health was feasible to use with a final score of 90.59%.
Phishing, Data-Disclosure and The Cognitive Reflection Test

Phishing is a form of online identity theft that aims to steal sensitive information such as online banking passwords and credit card information from users.Data is key for the digital economy, but disclosing personal data online increases vulnerabilities and the likelihood of experiencing negative consequences from disclosure.In this paper, we analyze willingness to share personal data, a preference for an intuitive decision style and susceptibility to phishes.We report the results of three large-scale national studies in Norway that included the cognitive reflection test (CRT) and a choice experiment on willingness to share personal data.With a binary logistic regression method, we analyzed the relationship between the CRT, willingness to share data and demographical variables with susceptibility to phishes as the outcome variable.Our main finding is that the willingness to share personal data and an intuitive thinking style significantly predict the probability of falling for phish.These results are based on three largescale studies with national populations, in contrast to earlier studies that in most cases relying on student populations, giving them greater validity. 2.1.
Self-Disclosure of Students with Minangkabau and Batak Cultural Backgrounds

The expression is derived from the Minangkabau and Batak Toba cultures. This study aims to describe the self-disclosure of high school students in terms of Minangkabau and Batak Toba culture. The sample used in this study were 329 high school students consisting of 165 students with a Minangkabau cultural background and 164 students with a Toba Batak culture background. This research uses Proportional Random Sampling technique. The instrument used in this study was a system Self Disclosure Skala with a reliability of 0.91029. The data analysis used in this research is ANOVA (Analysis Of Variants). there is no difference in the self-disclosure of students with Minangkabau cultural backgrounds between men and women. There is no difference in the self-disclosure of students with Batak cultural backgrounds between boys and girls.There are differences in the self-disclosure of students with Minangkabau and Batak cultural backgrounds in terms of male gender. There are differences in students' self-disclosure with Minangkabau and Batak cultural backgrounds which are reviewed based on the gender of the women.
Fiber Optic Network Technology of Communication of Specialists via Mental Neurointerfaces

Resonance communication of specialists can be carried out at a distance in real time in dialogue mode through a mental neurointerface with two-way communication. Mental neurointerface on the principles of magnetic resonance tomography captures a hologram of brain activity of the internal speech of the inductor specialist and transmits it to the mental neurointerface of the recipient&amp;#39;s interlocutor through ultra-sensitive multi section nano resonators waveguides. The mental neurointerface of the recipient&amp;#39;s interlocutor perceives the transmitted hologram of the brain activity of internal speech and resonates its internal speech to it. An interlocutor of the recipient with equivalent semantic memory in a resonant way makes sense of the internal speech of the inductor specialist. He forms the response with internal speech and transmits it to the interlocutor with his mental neurointerface through nano resonators in the form of holograms of the brain activity of internal speech. Interlocutors, as specialists in one subject area, have a similar semantic memory. Semantic memories are considered similar if they correspond to the principle of gold section according to a professional thesaurus. Specialists and interlocutors must learn a professional thesaurus before starting a dialogue through mental neurointerfaces. Thus, the problem of transmitting and reading thoughts at a distance using high technology is solved, taking into account the psychological aspects of the interlocutors. The development of mental neurointerfaces and ultra-sensitive multi section nano waveguide resonators for transmitting holograms of internal speech brain activity is just beginning. The use of resonant communication by mental neurointerfaces through nano waveguides resonators waveguides is currently very relevant in many areas of life activity.
Active Contour Model for Brain MR Tumor Segmentation and Volume Estimation

Brain MR tumor segmentation and estimation of volume is a critical task in medical applications. Brain tumors are analyzed by the common test method known as magnetic resonance imaging (MRI) which provides a detail image of brain. The proposed work involves detection of tumor in brain using deep learning based active contour model. Segmentation is the main objective of the proposed work for achieving detailed information about the tumor and accurate volume estimation to detect the size of the tumor. The Euclidean similarity factor (ESF) is used for considering the spatial distances and intensity differences of the region there by preserving all the fine details of the image. 3D convolutional neural network (3DCNN) is used for extracting the features and segmentation to identify the tumor location in the brain. Finally, shoelace method is used to estimate the volume of the tumor, and it provides treatment planning, surgical methods, estimation of dose, etc. The simulation results in this suggested approach could attain effective performance as compared with the existing approaches.
Computing of Existence and Uniqueness Solutions for Differential Equations in Metric Spaces by Using MATLAB

A metric space is a set along with a measurement on the set, A metric actuates topological properties like open and shut sets, which lead to the investigation of more theoretical topological spaces. It also has many applications in functional analysis. The aim of this work is design and develop highly efficient algorithms that provide the existence of unique solutions to the differential equation in metric spaces using MATLAB. The quality algorithm was used and developed to solve the differential equation in metric spaces. For accurate results. The proposed model contributed to providing an integrated computer solution for all stages of the solution starting from the stage of solving differential equations in metric space and the stage of displaying and representing the results graphically in the MATLAB program
White blood cell differential fluorescence abnormal scattergram: A useful indicator for early detection of malarial parasite

Undiagnosed malarial infectionis associated with significant mortality and morbidity. Laboratory investigations leading to rapid, accurate and timely diagnosis of malaria is still a challenge. This study was done to assess the utility of abnormal White blood cell differential fluorescence (WDF) scattergram for diagnosis of malaria. Our aim was to study the utility of WDF scattergram for early detection of malarial parasite.All EDTA anti-coagulated blood samples received in laboratory during a period from Dec 2019 to May 2020 were analyzed on anautomated hematology analyzer, Sysmex XN 1000. All abnormal WDF scattergrams pertaining to plasmodium specie were critically evaluated and recorded. Review of Leishman-stained peripheral smears as well as immune-chromatographic assay by rapid test devices (RTD) was done. Accordingly, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for detection of malaria by abnormal scattergram were calculated.Out of total 1, 26,000of samples analyzed, abnormal WDF scattergrams were detected in 96 cases. Amongst these, 95.8% (92) were positive for MP on Leishman-stained peripheral smear as well as on ICT with a p-value of 0.05. WDF scattergram abnormalities typical of malaria showed a sensitivity of 80% and specificity of 93.26%. Positive predictive value of 95.8% whereas negative predictive value of 99.9% was detected. Significant findings of hemolysis, platelet clumps, nucleated RBCS (NRBCs) and RBC agglutination were noted in cases (n=4) with abnormal WDF scattergram negative for malaria on peripheral smear.Interpretation of abnormal WDF scattergram not only increases the early detection rate for malarial parasite but isa strong indicator for presence of hemolysis, RBC agglutination, platelet clumps and leucoerythroblastic blood picture as well.
AN Effective PHR Based Secure Data Distribution using KC-ABE in Cloud Environment

The objective of the research work is focused on cloud computing which is a developing design to give secure change among continuous applications. Secure information sharing is characterized as transmission of at least one documents profitably this procedure is utilized to share data’s, characteristics, records among different clients and associations in secure mode and verifies from outsider clients. Usually it is finished by encryption and unscrambling process over private system. This kind of information sharing is finished by new innovation of key cipher text KC-ABE. It can give secure record transmission by having confined access innovation. This developing procedure has been checked in tolerant individual wellbeing record upkeep. These documents are recorded and recovered safely without access by unapproved clients. KC-ABE encryption framework is material to produce for adaptable and secure sharing of information’s in distributed computing, which will reinforcement persistent wellbeing creating records in increasingly defensive manner. In KC-ABE strategy, the subtleties of patient are put away in KC-ABE server farm. In KC-ABE, Key backer just legitimize the entrance control and can’t issue by the encryption. Along these lines the relating tolerant just reserve the options to get to this KC-ABE innovation. It gives more secure information sharing than other encryption framework. The fundamental utilization of this technique are High key age time and encryption time. It can accomplish less encryption time and key age time to improve productivity of KC-ABE.
Methodological Challenges in Eye-Tracking based Usability Testing of 3-Dimensional Software – Presented via Experiences of Usability Tests of Four 3D Applications

Eye-tracking based usability testing and User Experience (UX) research are widespread in the development processes of various types of software; however, there exist specific difficulties during usability tests of three-dimensional (3D) software. Analysing the screen records with gaze plots, heatmaps of fixations, and statistics of Areas of Interests (AOI), methodological problems occur when the participant wants to rotate, zoom, or move the 3D space. The data gained regarded the menu bar is mainly interpretable; however, the data regarded the 3D environment is hardly so, or not at all. Our research tested four software applications with the aforementioned problem in mind: ViveLab and Jack Digital Human Modelling (DHM) and ArchiCAD and CATIA Computer Aided Design (CAD) software. Our original goal was twofold. Firstly, with these usability tests, we aimed to identify issues in the software. Secondly, we tested the utility of a new methodology which was included in the tests. This paper summarizes the results on the methodology based on individual experiments with different software applications. One of the main ideas behind the methodology adopted is to tell the participants (during certain subtasks of the tests) not to move the 3D space while they perform the given tasks at a certain point in the usability test. During the experiments, we applied a Tobii eye-tracking device, and after the task completion, each participant was interviewed. Based on these experiences, the methodology appears to be both useful and applicable, and its visualisation techniques for one or more participants are interpretable.
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning

Motion estimation and segmentation are both critical steps in identifying and assessing myocardial dysfunction, but are traditionally treated as unique tasks and solved as separate steps. However, many motion estimation techniques rely on accurate segmentations. It has been demonstrated in the computer vision and medical image analysis literature that both these tasks may be mutually beneficial when solved simultaneously. In this work, we propose a multi-task learning network that can concurrently predict volumetric segmentations of the left ventricle and estimate motion between 3D echocardiographic image pairs. The model exploits complementary latent features between the two tasks using a shared feature encoder with task-specific decoding branches. Anatomically inspired constraints are incorporated to enforce realistic motion patterns. We evaluate our proposed model on an in vivo 3D echocardiographic canine dataset. Results suggest that coupling these two tasks in a learning framework performs favorably when compared against single task learning and other alternative methods.
MSMEs Marketplace Application Design "NUTREAZY": Food Delivery Service Based on Nutrition Optimization

NUTREAZY is a marketplace application that provides food delivery service with complete nutritional information. This application can provide food menu recommendations based on optimization of nutritional fulfillment at the most optimal price. This marketplace application was created to provide solutions to the problems of food needs and intake in today's millennial era. Millennials tend to want food that is practical, easy to get, but at an affordable price. These habits make the millennial society's eating patterns become instantaneous. In addition, the role of the NUTREAZY application innovation is to increase the branding of quality MSME products and attract consumer buying interest. Delivery services can add value to the services of MSMEs while at the same time responding to the wishes of the millennial community with digital services that are easily available.
A Nonlinear Quantum Walk

In this paper, we consider a nonline quantum walk.Among others, we show that the nonlinear quantum walk has the same probability distribution as its linear counterpart.
TEXT CLUSTERING APPROACH TOWARD COMMUNITY EXPECTATIONS TO THE BUS RAPID TRANSIT (BRT) TRANSJATENG PURWOKERTO-PURBALINGGA OPERATIONS

Bus Rapid Transit (BRT) is one of the alternative public transportations in urban areas, which has begun to be implemented in some cities of Indonesia. By finding out the effectiveness of BRT as a mass transportation system, it is necessary to study the expectations of users and non-users of the Trans Jateng Purwokerto-Purbalingga BRT regarding the perceived social, economic, and environmental impacts. This study uses the text Clustering method to group public opinion based on similarities so that it can be analyzed further for policymaking. As a result, the majority of the community gave positive expectations of BRT implementation’s perceived social, economic, and environmental benefits. On the other hand, public opinion on the presence of BRT is not always positive and has a significant impact. Improvements are needed in several aspects that are considered not to meet public expectations to maximize the function of BRT as a substitute for public transportation for private vehicles.
Analisis Faktor-faktor yang Mempengaruhi Mahasiswa Memanfaatkan Layanan Penelusuran

The information retrieval services is a service that interests university library users. There is a significant increase of students completing their thesis using searching services during the COVID-19 pandemic. This study aims to find factors in the utilization of research searching services. It is Using a quantitative approach with exploratory factor analysis (EFA). The study population was 376 students who submitted searching services during the pandemic (March-December 2020),using Slovin formula get a sample 82 respondents. The primary data source from the questionnaire. The results showed that only one (1) factor for the variable use of research searching services, with seven (7) statements: P1, P2, P3, P4, P5, P6, and P7, but, the P8 idea is not continued for analysis because the results of the commonalities test showed that the extraction value is less than 0.5. The conclusion is the factor variables that influence IAIN Purwokerto students to use the searching service have no dimension (there is only one factor) that is factors for completing thesis, indicators of these factors are seven statements: requires an example of a thesis; enriches material for a thesis; knows how to describe the background; looks for the right theory; gets an appropriate research method; knows how I should explain the discussion; and knows how to conclude the results of a research.
Penerapan Teknik Clustering Data Mining untuk Memprediksi Kesesuaian Jurusan Siswa (Studi Kasus SMA PGRI 1 Subang)

&lt;p&gt;SMA PGRI 1 Subang is a private school that has several missions, one of which is the establishment of academic and non-academic achievements. In an effort to achieve the mission must supervise student achievement. The effort he did was to provide understanding in the selection of majors in accordance with the interests and talents of students. But in the activity of providing understanding, the school does not yet have a model that can evaluate the interests and talents of students to choose majors. The model can be obtained using student data processing. Data processing can be done using data mining, namely data mining clustering techniques. The technique will produce a model in the selection of majors. This clustering process is the process of grouping similar data based on the similarity of data held by students. The research method used is the CRISP-DM method which has 6 stages consisting of: Business Understanding, Data Understanding, Data Processing, Modeling, Evaluation, and Dissemination. The data that is processed is 620 data consisting of class of students in 2014, 2015, 2016. The results of processing using clustering obtained 6 clusters that have different models for each cluster. The results of this study can be used by schools in recommending courses chosen by students according to students' interests and talents, so students can learn optimally.&lt;/p&gt;&lt;strong&gt;&lt;em&gt;Key words&lt;/em&gt;&lt;/strong&gt;: clustering, dataMining, suitability, majors, students
KKN-M Pemanfaatan Waktu Luang dengan Melakukan Bimbingan Belajar bagi Siswa di Desa Ndetundora 1 di Masa Pandemi Covid-19

Ndetundora 1 village is one of the villages in Nuabosi, precisely in Ende sub-district, in independent real work lectures (KKN), students motivate the importance of learning even during the covid 19 pandemic. The purpose of implementing this program is for students to gain learning experiences through direct involvement in the community to find problems in people's lives. In this activity, the problems encountered included a network that was difficult to access which made it difficult for students to study online during a pandemic. In addition, there were also many students who did not use their free time to study. The first step is to record students who are doing online and offline learning. The solution offered in solving problems that have been identified is to conduct learning from home (BDR) using technology media in the form of learning videos. Not only that, but another solution is to conduct tutoring in schools using a scientific approach and contextual or real media.
Law, technology and commercial transactions

The regulation of technology is an important and topical area of law, relevant to almost all aspects of society. Technology Law: Australian and International Perspectives presents a thorough exploration of the new legal challenges created by evolving technologies, from the use of facial recognition technology in criminal investigations to the rise and regulation of cryptocurrencies. A well-written and fascinating introduction to technology law in Australia and internationally, Technology Law provides thorough coverage of the theoretical perspectives, legislation, cases and developing issues where technology and the law interact. The text covers data protection and privacy, healthcare technology, criminal justice technology, commercial transactions, cybercrime, social media and intellectual property, and canvasses the future of technology and technology law. Written by leading experts in the field, Technology Law is an excellent resource for law students and legal professionals with an interest in the area.
Android-Based Test (ABT) to Evaluate Students’ Literacy in Madrasah

Along with technology development in the digital era, learning evaluation also experienced developments in the tools based on Android.Android is an information system on a smartphone that has been very popular among learners.Muhammadiyah Vocational High School of Kajen utilizes Android as an evaluation tool.The school has implemented Android Based Test (ABT) since 2020.Previously, the school conducted its evaluation using a computer, but it was wasteful of cost, time, and space.The school then develops an Android Based Test (ABT) evaluation tool that facilitates learners and teachers.This research illustrates the implementation of ABT evaluation and its advantages and disadvantages to evaluate students' literacy in learning Arabic at Muhammadiyah Vocational High School of Kajen.This research uses a qualitative descriptive approach.The data was obtained from observations, documentation, and interviews of several teachers and students.This research shows that the implementation of ABT evaluation in Arabic language learning is carried out in three stages, namely preparation, implementation, and assessment.One of the advantages of ABT is that it makes the assessments more efficient.It also helps students solve problems easier and can be more motivated.The lack of training of IT teachers, server trouble, the need for a constant and stable internet connection, and the need for a reasonably large quota are some of the shortages of this evaluation method.Nonetheless, the findings confirm that technological tools, such as Android can help teachers improve their performance and manage classroom evaluation more effectively.