Reviewerly/exHarmony huggingface dataset:
Researchers Have Achieved Sustained Long-Distance Quantum Teleportation

“The breakthrough, made by researchers at Caltech, Fermilab and NASA, among others, is a step towards a practical quantum internet. In a major breakthrough for the quest toward quantum internet, a technology that would revolutionize computing in myriad ways, a …
Android Application Development for Unlivable Houses Data Collection Based on Participatory Mapping

Unlivable houses are houses that do not meet building safety requirements, minimum building area adequacy, and the health of residents. In Indonesia itself, especially in Bandung City, there are still many unlivable houses that have not been clearly recorded. This data is needed by the government for the purpose of improving the quality of unlivable houses. Participatory mapping with involving the communitycan help the government in collecting data of unlivable houses. Unlivable houses data collection in Indonesia is still using conventional methods with field papers and cameras for taking photos. Therefore, there is a need to develop a media which can be used for collecting data of unlivable houses which integrated into an online database. The aim of this research is to develop an android application that can be used for collecting data of unlivable houses based on participatory mapping and to test this application in Bandung City area. The system development method used in this research is the prototype model which has several stages that keep repeating, starting from listening to customer, build/revise mock-up, and customer test drives mockup. This application was built with Android Studio, basemap from Mapbox, and 000WebHost to store data in online databases. This study successfully developed the android application for collecting data of unlivable houses based on participatory mapping, which has been tested with black box testing and beta testing. This android application has been applied to collect some data of unlivable houses in Bandung City area. With this application, the community is expected to participate in collecting data of unlivable houses in the environment they live in.
Multimodal Fusion of Visual Dialog

Visual Dialog: aiming at holding a meaningful conversation with humans based on natural images, is a 'high-level' AI task of multimodal fusion. Since the challenge for visual dialog was proposed in 2017, multimodal fusion has been developed and made significant breakthroughs with the help of deep learning techniques. The goal of this paper is to provide a comprehensive survey of the recent achievements in the Visual Dialog task. This survey covers many aspects of multimodal fusion research: Visual Co-reference Resolution, Attention Mechanism, Graph Neural Networks, evaluation issues, specifically benchmark datasets, evaluation metrics, and state of the art performance.
Uji Kelayakan Pengembangan Buku Ajar Tematik Berbasis Inkuiri Kontekstual untuk Siswa Sekolah Dasar

This research aims to determine a thematic text book's feasibility based on elementary school students' contextual inquiry. The model used in the development is Dick &amp; Carey, which has been simplified by the researcher into nine development stages as follows: (1) identifying objectives, (2) conducting learning analysis, (3) analyzing students and learning context, (4) formulating learning objectives, (5) developing assessment instruments, (6) developing learning strategies, (7) developing and selecting learning materials,( 8) conducting formative evaluations, and (9) product revisions. The product development then goes through a validation test by the material expert, design expert, and user expert by using different expert instruments. The result of the feasibility test has been analyzed descriptively. The result shows that the thematic textbook based on contextual inquiry with the percentage of feasibility from the material expert was 97,6% (valid), from design expert was 78,27% (valid), and from the user was 98,96% (valid). The result shows that the textbook which has been developed was feasible and can be implemented with little revision.
LOST BOOK HERITAGE FROM THE HISTORY OF G. P. ALEKSEEV`S PRIVATE LIBRARY

Objective. The purpose is to highlight the history of the private library of the Katerynoslav figure in the context of the social and cultural life of an individual family of the 19th–early 20th centuries; to analyze a private collection according to subject and language features. Objective is the private library of G. P. Alekseev, a public and cultural figure. Methods. The study uses analytical-synthetic, system-structural, historical-biographical, and statistical methods. Results. Little-known pages of Ukrainian librarianship history are revealed; the boundaries of studying private book collections of public figures are expanded; the role of the individual in cultural development and creation of an intellectual circle of the region is determined. An important area of historical memory is highlighted, namely the revival and preservation of book heritage. Conclusions.The private library is an important center in the process of forming a network of Ukrainian libraries and creating a holistic picture of the cultural development of the province. The repertoire and content of the book collection of the Katerynoslav nobleman and honorary citizen G P. Alekseev testifies to the high level of the intellectual environment of the Ukrainian city. Type characteristics and quantitative analysis emphasize the uniqueness and significance of a private library collection.
Estimating the Efforts of Mobile Application Development in the Planning Phase Using Nonlinear Regression Analysis

Abstract The authors consider the construction of a nonlinear multiple regression model, its confidence and prediction intervals to evaluate the efforts of mobile application development in the planning phase based on the multivariate normalizing transformation and outlier detection. The constructed model is compared to the linear regression model and nonlinear regression models based on the univariate transformations, such as the decimal logarithm, Box–Cox, and Johnson transformation. This model, in comparison with other regression models, has better prediction accuracy.
SpinQuest/E1039 FPGA Trigger

for physics running. This poster will present the structure of the commissioning trigger, the timing calibration, and the measured performance of the hodoscopes using cosmic rays.
PEDAGOGICAL ACME-TECHNOLOGY OF FORMATION OF RESPONSIBILITY AMONG LEADER-PROFESSIONALS DURING THE PROCESS OF PROFESSIONAL EDUCATION

Тhe article is devoted to the problem of formation of responsibility among leader-professionals during the process of professional education at the university. The authors note that the solution to this problem is possible by developing a special pedagogical acme-technology. The paper presents characteristics of structural components of proposed technology (concept, content, procedural parts, software and methodology). In the course of this study, the pedagogical conditions for the formation of responsibility among leader-professionals were determined. The results of this study on the establishment of the influence of factor units on the responsibility formation of future leader-professionals in the process of their professional education at the university are discussed.
Pursuit for a Fully Autonomous Automotive - LiDAR Leads the Battlefield: Its Principles, Challenges, Trends and Perception System

The global automotive industry is always a fast growing and highly competitive field as every participant involved relentlessly thrives to achieve technological advancement of their product and solution to stand-out among the rest. Lately, the pursuit towards developing a fully autonomous car has intensified manifold among all the automakers because of the increasing need for advanced driving assistance and safety. In the era of AI advancements, self-driving cars is so much more challenging that most people expected. Autonomous vehicle requires L3 or higher level smart connected capability to function efficiently and LiDAR is at the forefront in serving the requirement. This paper is set to explicitly furnish all the technical and functional development of a number of LiDAR technologies in existence in the automotive ecosystem and also systemically distinguish and analyze each of them. In addition, this paper provides recent advancement and development of key automotive LiDAR technology, startups, trends and how far are we behind from reaching the ambition of becoming a permanent backseat driver.
Faktor Penyebab Ketidaklengkapan Pengisian Kode Diagnosa Rawat Jalan di RS Husada Utama

At present hospitals and paramedics prone to demands that demands the quality of service , lawsuits from a patient and the competitors in the same because of that required to improve the quality and keep the quality of health services at the hospital .One parameter to determine the quality of health services at the hospital is data or information from medical record good and complete , both the contents , accurate , timely and working persayaratan legal aspects .Based on working practices roomy implemented in february to march obtained hasill that incomplete filling out of code diagnose on medical record outpatient husada surabaya hospital main reach 100 % it is not in line with permenkes 269 year 2008 stating that document completeness medical record must be fully 100 %. A journal aims to understand the factors causing the incomplete filling out of the diagnosis code .Incompleteness this researched use the undirected behavior lawrence green with a variable presdiposing factors , enabling options factors , reinforcing factors .Incomplete filling out of the diagnosis code was conducted by interviews is not structured and observation activities directly when performing my roomy .The result of the report is affecting behavior because of the incomplete on charging the diagnosis code outpatient medical record husada hospital as much as the main the hospitals are required to carry out socialization of standard operating procedures aimed at the paramedics to be the remembrance of the content and doing the work of in accordance with the sop.
Volume increasing of secret message in a fixed graphical stego container based on intelligent image analysis

The paper considers methods of edge pixel selection based on Roberts, Previtt, and Sobel operators, as well as technologies of cellular automata to increase the volume of the implemented secret message. Based on the methods used, templates with selected pixels were formed, into the codes of which secret message bits were embedded. The templates were formed using threshold additional processing, which allowed to select the optimal threshold for the selection of the corresponding pixels of the image of the container. Thresholds ranging from 100 to 300 were selected for the Roberts operator, and thresholds ranging from 1,000,000 to 15,000,000 were selected for the Previtt and Sobel operator. To select pixels based on cell technology, four cell neighborhood shapes were used for binary and color imaging. Experimental studies were performed for all methods of pixel selection, which made it possible to determine the optimal numerical threshold, as well as the number of lower bits of each selected pixel to implement the bits of the secret message. It has been experimentally established that for all methods, except for the two lower bits of the code of each pixel, the bits of the secret message are also embedded in the four lower bits of each byte of code of the selected pixel, which significantly increases the volume of the embedded message. When using two lower bits of all pixels and four lower bits of selected pixels for many templates, no change in the visual images of the containers was observed. Using the fifth lower bit in each byte of the selected pixel code to enter the secret bit results in significant distortion of the visual picture. The experiments were performed for different brightness thresholds during binarization. In total, six additional secret bits were added to the code of each selected pixel. For the efficiency of the experiments, bit sequences containing only one zero, one unit, and randomly generated bit sequences were introduced into the containers.
TEACHING SPEAKING THROUGH SMALL GROUP DISCUSSION METHOD

ABSTRACT This research, entitled Teaching Speaking through Small Group Discussion Method, aims to know whether small group discussion method improves students’ speaking skill effectively. This research uses a quantitative approach. The population was all students at a Ma’had in 2019/2020 academic year that consisted of 178 students. The sampling technique used is purposive sampling , and the chosen classes had 16 students, where there were 8 students in the experimental class and 8 students in the controlled class. The instrument used was speaking tests. In analyzing the data, the researcher used t-test calculation. The results show that the value of t 0(observation) was 0.97 and df (degree of freedom) which is 14 met the degree of significance of 5% (0.05), gave us the significance degree value that is 1.76. After consulting to the t t(table) , we found that t 0 =0.97 < t t =1.76. Therefore since the t-table is bigger than t-observation, the alternative hypothesis (H a ) is rejected and the null hypothesis (H 0 ) is accepted. Based on the results of the data above, it is true that small group discussion is not effective on the students’ speaking skill when it was applied at the Ma’had. One of the factors that caused this method to fail was because of the class condition that was not suitable. The result is their speaking skill was not improved effectively. So, the students need other methods as well to improve their speaking skill. Keywords : teaching, speaking, small group discussion method.
Emerging Cyber Security Threats in Organization

Cyber-security is a preventive preparation of protecting sensitive information, information systems, computers, servers, critical infrastructure, mobile devices, and computer networks from unauthorized access or hackers. Now a day digital technology takes the most significant role in growth effectiveness and efficiency in the organization. However, new technologies like mobile technologies (5G), IoT and cloud computing are Coming with new information security threats. Employees still using the old software, they didn't update the software (operating system), they use a permanent password, they are still using weak and default password (Wife name or her phone number) information security literacy and behavior end users or IT staff. They don't have awareness about proactive cyber-attacks prevention policies and procedures. Because they have not took short and long term training on most serious cyber-attacks like ransom ware, social engineering, malware, DDoS, and phishing. This article attempts to assess or explore the most common and emerging cyber security threats. That the organizations facing. An in-depth literature review is delivered. The main objective of this article is to create awareness about the emerging and the most serious cyber-attacks occurring in the organization. The findings demonstrate that cyber security preparations and trained employees are very low; hackers becoming more sophisticated.
Model of Octane Number Loss Based on Margin Analysis

This article focuses on the question of how to optimize the main operating steps of the desulfurization process. According to the correlation analysis, the residual analysis method based on the stepwise forward regression and the generalized least square method are used to establish the octane loss model, and finally the genetic algorithm is used to accelerate Calculate and reasonably analyze how the desulfurization process reduces the loss of octane number in the operation steps.
Description of Adolescents Self Control

Adolescence is a transition and period of change when the norm is being violated, adolescents will be detained in LPKA. Therefore, in order not to cause any problems in LPKA, they need a good Self-control. Self-control is the ability to inhibit or prevent any behavior in a positive way by making appropriate decisions. This study aimed to determine the overview of self-control in adolescents at Class II Bandung Youth Correctional Facility (LPKA). Research method used was quantitative descriptive. The technique used was total sampling with a sample of 79 adolescents. The instrument used was Self-Control made by Tantri Maulida using Averill theory. The validity value was 0.60 and the realibility value was 0.673. Analysis of the data used descriptive analysis with frequency distribution. The result of this study showed that most respondents at LPKA Class II Bandung with a number of 41 respondents (51,9%) had moderate Self-control, 27 respondents (34,2%) had high Self- control, 9 respondents (11,4%) had very high Self-control, and 2 respondents (2,5%) had low Self-control. The conclusion of this study was that most respondents had moderate Self- control. Therefore, this research suggests that LPKA needs to provide more intensive guidance or education such as holding classes or program at LPKA, in order to improve self- control.
ON THE SECURITY COMPARISON OF LUC-TYPE CRYPTOSYSTEMS USING CHOSEN MESSAGE ATTACK

Adv. Math. Sci. J. Vol. 9, No. 12 Open Access ON THE SECURITY COMPARISON OF LUC-TYPE CRYPTOSYSTEMS USING CHOSEN MESSAGE ATTACK T.J. Wong, L.F. Koo, F.H. Naning, P.H. Yiu, A.F.N. Rasedee, M.M. Magiman, and M.H.A. Sathar DOI: https://doi.org/10.37418/amsj.9.12.72 Full Text Abstract Abstract The security of LUC type cryptosystems was investigated. In this study, chosen … page AMSJ9-N12-72 Read More »
The Use of Internet Tools by Indian LIS Professionals for Providing Support Services During the COVID-19 Pandemic

Th is paper attempts to explore the use of internet by LIS professionals of India for providing library support services during the crisis of COVID-19.For this purpose, an online questionnaire was designed using Google forms and sent to Indian Listserv -ILOSC, NMLIS, LIS-Forum, and SALIS.Th e study fi nds that the majority of the LIS (Library and Information Science) professionals are providing library support services during the crisis of COVID-19 pandemic.Th e study also fi nds that LIS professionals were using all sorts of internet based communication tools even before the onset of COVID-19 pandemic.Th is seems to have helped the Indian LIS professionals in delivering services to the users.Th e study emphasizes further development and improvement of internet based communication tools for handling similar crisеs arising in the future.
USE OF HIGH TECH EDUCATIONAL PLATFORMS WITH ELEMENTS OF ARTIFICIAL INTELLIGENCE FOR FORMATION OF INFORMATION-RESEARCH COMPETENCE

Тhe article presents an analysis of the use of tools and services of computer technology with artificial intelligence to ensure the adaptive of learning and the formation of information and research competence. The main feature of such training is its personalized orientation - the adaptation of the educational process to the individual needs of the student.The necessity of using artificial intelligence technologies to determine the individual characteristics of each student and analyze the results of his learning for further adjustment is substantiated. Thus introduction of artificial intelligence should be directed on preservation and increase of all strong aspects of the teacher. New technologies must be implemented pedagogically and expediently, in order to avoid “infantilization” of students, it should be remembered that in any educational process the leading role belongs to the teacher's personality.
Indoor Mobile Robot Operating using Deep Learning Intricacy Neural Network

In their everyday life and routine. Robot will assist people. They are not an indoor robot, but canbe adapted to the environment themselves and benefit from their own individual skills. High levels ofautonomy, a prerequisite for social robots, were based on in this research. Absolute exploration andunknown conditions are practiced ahead with the correct algorithm for training purposes to allow the robotto adapt to unknown conditions. For the purpose of research, simulation is performed including the bindingmethod of the sensor so as to reduce-real world noise and improve accuracy. This study focuses on theintelligent control of robots in the area of autonomous navigation and examines the following aspects ofrobot learning. This approach is based on the human imitation instinct. The robot is furnished with this normin real time for training, learned from these data and extended in all hidden possible positions andconditions. The Intricacy Neural Network is practiced for evaluating the likelihood of this robot. After anappropriate number of showings, the robot can learn the independent navigation skills and predictperformance with high precision. Used for teaching the robot through encounters with robots, the newreinforcement teaching technologies. For quick generalization, the Intricacy Neural Network is alsointegrated. The robot is a train focused on all previous contact action couples. This Prototype of training canpredict performance that lets robots navigate autonomously
Automatic Modulation Classification Using Hybrid Convolutional Neural Network

Automatic modulation classification (AMC) plays an essential role in signal demodulation and interference identifica-tion.In this paper, we propose a novel AMC method using the Hybrid Convolutional Neural Network (HCNN), which combines with two different convolutional neural networks (CNNs) jointly using various signal features.In the former CNN, spectral correlation features (SCFs) are generated as network input, to classify FSK and BPSK.In the latter CNN, the Attention-based Densely Convolutional Neural Network (AD-CNN), which is trained using regular constellation images (RCs), is proposed to identify the modulation formats that are hardly recognized by the former CNN, such as QPSK, 16-QAM and 64-QAM.The simulation results demonstrate that HCNN displays superior classification performance than existing AMC methods with lower computational complexity.
An Adaptive Grid and Incentive Mechanism for Personalized Differentially Private Location Data in the Local Setting

With the proliferation of wireless communication and mobile devices, various location-based services are emerging. For the growth of the location-based services, more accurate and various types of personal location data are required. However, concerns about privacy violations are a significant obstacle to obtain personal location data. In this paper, we propose a local differential privacy scheme in an environment where there is no trusted third party to implement privacy protection techniques and incentive mechanisms to motivate users to provide more accurate location data. The proposed local differential privacy scheme allows a user to set a personalized safe region that he/she can disclose and then perturb the user’s location within the safe region. It is the way to satisfy the user’s various privacy requirements and improve data utility. The proposed incentive mechanism has two models, and both models pay the incentive differently according to the user’s safe region size to motivate to set a more precise safe region. We verify the proposed local differential privacy algorithm and incentive mechanism can satisfy the privacy protection level while achieving the desirable utility through the experiment.