Reviewerly/exHarmony huggingface dataset:
29.1 A 32.5mW Mixed-Signal Processing-in-Memory-Based k-SAT Solver in 65nm CMOS with 74.0% Solvability for 30-Variable 126-Clause 3-SAT Problems

Boolean satisfiability (k-SAT, k ≥3) is an NP-complete combinatorial optimization problem (COP) with applications in communication, flight network, supply chain and finance, to name a few. The ASICs for SAT and other COP solvers have been demonstrated using continuous-time dynamics [1], simulated annealing [2], oscillator interaction [3] and stochastic automata annealing [4]. However, prior designs show low solvability for complex problems ([1] shows 16% solvability for 30 variables and 126 clauses), and use a small, fixed network topology (King's graph [3] or Lattice Graph [2] or 3-SAT [1]) limiting the flexibility of problem solving. A digital fully connected processor enables flexibility but incurs a large area, latency and power overhead [4]. This paper presents a k-SAT solver where a Continuous-Time Stochastic Recurrent Neural Network (CT-SRNN), controlled by a Discrete-Time Finite-State-Machine (DT-FSM), uses unsupervised learning to search for an optimal solution (Fig. 29.1.1). A 65nm test-chip based on a Mixed-Signal Processing-in-Memory (MS-PIM) architecture is presented. Measured results demonstrate a higher solvability (74.0% for 30 variables and 126 clauses, vs. 16% in [1]) and an improved flexibility (k > 3, different number of variables per clause) in mapping k-SAT problems.
MP77-06 THE PROJECTED SHORT AND LONG-TERM ANTICIPATION OF THE PROSTATE CANCER POPULATION IN KOREA BASED ON PSA TESTING AND SOCIAL-AGING TREND DURING THE LAST DECADES

You have accessJournal of UrologyCME1 Apr 2023MP77-06 THE PROJECTED SHORT AND LONG-TERM ANTICIPATION OF THE PROSTATE CANCER POPULATION IN KOREA BASED ON PSA TESTING AND SOCIAL-AGING TREND DURING THE LAST DECADES Young Hwii Ko, Ki Hak Moon, Hee Chang Jung, Phil Hyun Song, Jae Young Choi, Yeong Uk Kim, Jae Youn Jang, and Jong Gyun Ha Young Hwii KoYoung Hwii Ko More articles by this author , Ki Hak MoonKi Hak Moon More articles by this author , Hee Chang JungHee Chang Jung More articles by this author , Phil Hyun SongPhil Hyun Song More articles by this author , Jae Young ChoiJae Young Choi More articles by this author , Yeong Uk KimYeong Uk Kim More articles by this author , Jae Youn JangJae Youn Jang More articles by this author , and Jong Gyun HaJong Gyun Ha More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003351.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail WITHDRAWN © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e1103 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Young Hwii Ko More articles by this author Ki Hak Moon More articles by this author Hee Chang Jung More articles by this author Phil Hyun Song More articles by this author Jae Young Choi More articles by this author Yeong Uk Kim More articles by this author Jae Youn Jang More articles by this author Jong Gyun Ha More articles by this author Expand All Advertisement PDF downloadLoading ...
Visibility Detection Based on Object Region Selection

In response to the shortcomings of the dark channel prior and optimization methods in window selection and object depth variation, this paper proposes a visibility detection algorithm based on object region selection. The algorithm introduces superpixel segmentation to divide the image into superpixel blocks and extracts the superpixel blocks containing the target object for visibility calculation. In the visibility calculation, the dark channel and transmission rate extraction can be obtained only from the target object region, without the need to process the entire image region. This improves the accuracy of the target object parameter calculation and speeds up the computation.
Some Attitudes of Professionals Towards the Agility of Their Educational Institution

Agility as a special way of thinking and acting was created by programmers and has spread to the pedagogical field. We are presenting the results of a survey among 184 professionals from various Slovenian educational institutions (EI) for the purpose of determining their attitudes towards the agility of EI. The results show that respondents agree the most with positive actions, positive emotions and care for children. They are most indecisive about simplifying issues and problems and highlighting mistakes. Based on multivariate hierarchic cluster analysis, we determined three clusters that, according to our research, define agile EI. We named them as follows: the individual and the operation of EI, positive mindset and adequate communication. All clusters relate to human resources and confirm the statement that the greatest challenge is to achieve change in people.
Developing Future Teachers’ Research Competence in the Context of the Environmental Approach Implementation

The article discusses the environmental approach as the basis for the developing of the future teachers’ research competencies. Research competencies are among the general competencies provided for by the Federal State Educational Standard of Higher Education. Therefore, the problem of training a teacher-researcher is one of the relevant issues of higher education pedagogy. The purpose of the research is to study the dynamics of the formation of future teachers’ research competencies under the influence of the university educational environment. As a result of a comparative analysis of the knowledge and skills of students in the field of research activities, a conclusion was made about the influence of the educational environment on the formation of a future teacher’s research position. Summarizing the experience of three regional universities in building the educational environment, its main components were identified (spatial, institutional, programmatic, organizational, content and competitive) are identified.
OUR LEADERSHIP PROMISE TO FRANCES HESSELBEIN

Leader to LeaderVolume 2023, Issue 108 p. 4-5 HESSELBEIN & COMPANY OUR LEADERSHIP PROMISE TO FRANCES HESSELBEIN Sarah McArthur, Sarah McArthurSearch for more papers by this author Sarah McArthur, Sarah McArthurSearch for more papers by this author First published: 23 March 2023 https://doi.org/10.1002/ltl.20698Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume2023, Issue108Spring 2023Pages 4-5 RelatedInformation
Development of a Framework for the Design and Implementation of Metaverse Class

This study aims to clearly define the concept of metaverse class and develop a framework for the design and implementation of effective and efficient metaverse class. This study developed a basic framework through a literature review and interviews of 5 experts with experience in implementing metaverse class. After that, the content validity was conducted twice using CVI (Content Validity Index), and the development of the last version was completed by correcting and supplementing the content validity and expert opinions. The significance of this study is as follows: First, the concept of the metaverse class was defined from a pedagogical perspective. Second, a systematic framework for instructional design and implementation was presented by sufficiently reflecting the concept and characteristics of the metaverse class. Third, it can be used effectively and efficiently for the design and implementation of metaverse class regardless of the school level. This result is expected to serve as a practical guide for instructors who want to design and implement the metaverse class, and as a reflection and monitoring tool for the metaverse class.
Combining DNA sequences and chaotic maps to improve robustness of RGB image encryption

In today's world colour images are vastly generated and stored for a variety of purposes by organisations. Standard encryption schemes such as AES or DES are not well suited for encryption of multimedia data due to their pattern appearance and high computational cost. Many methods are being proposed for the encryption of greyscale images. However, there are only a few methods proposed in the literature specifically for encrypting the colour images. This paper presents a new method called RGB image encryption scheme (RGBIES) for encrypting the colour images based on chaotic maps and DNA sequences. RGBIES has three major stages. Stages 1 and 3 propose a powerful scrambling algorithm based on a chaotic logistic map. The intermediate step uses a chaotic Lorenz map, the keys of which are obtained using DNA sequences. Various visual and quantitative analyses are performed that prove the resistance of the method against modern-day attacks.
The relationship between motives for using a Chatbot and satisfaction with Chatbot characteristics: An exploratory study

Even though there is a growing number of studies focusing on Chatbots and artificial conversations, research lacks studies analyzing Chatbot characteristics and motives for using this technology. This displays a critical gap in the literature that the present study addresses. This work thus attempts to analyze the relationship between motives for using a Chatbot and satisfaction with Chatbot characteristics. Two questionnaires were developed, one to assess satisfaction with Chatbot characteristics, according to the Kano model and another to assessing motives for using Chatbots, based on previous qualitative research. Survey research was directed to the Portuguese population (N=258) and statistical analysis indicated that motives for using Chatbots do not seem to have a clear relationship with satisfaction with Chatbot characteristics. Furthermore, results suggest that equipping Chatbots with human-like characteristics, seems to be indifferent to Portuguese Millennials; instead, speed and accessibility of Chatbots seem to be valued, especially when using this technology for convenience purposes. A discussion on the possible implications for theory and practice on this topic is presented, and clues for future research are suggested.
Statements

Earlier, we described statements as commands, pieces of code that are executed in some order. Expressions ending with a semicolon are statements. The C++ language also comes with some built-in statements. We will start with the selection statements.
REPRODUCTION OF QUALIFIED PERSONNEL: PROBLEMS, TRENDS, PROSPECTS

The subject of the study is the reproduction of qualified personnel. The aim of the paper is to develop proposals for the reproduction of skilled workers and specialists. The main research methods are systematic and comparative analysis, expert surveys, and pedagogical experiments. The theoretical significance of the article lies in the fact that as a result of the research, new and additional scientific knowledge and methods of reproduction of highly qualified personnel have been obtained, and scientific and practical recommendations have been developed for the gradual formation of the competence of graduates of professional educational organizations, a model for the ascent of young specialists to professional competence has been formed. The practical significance of the research results lies in their use in professional educational organizations and in the system of in-house training of personnel.
The effect of depressive symptoms on falls of middle-aged and elderly people based on the PSM method

Depressive symptoms and falls are both health risk factors in middle-aged and older adults, with potentially fatal injuries. In order to analyze whether the middle-aged or elderly who has depressive symptoms excluding the influence of endogenous problems and obtain higher robustness, the propensity score matching (PSM) method is adopted using the data from 2015 Charls. The analysis is done to observe the performance difference between the treated group (with depressive symptoms) and the untreated group (without depressive symptoms). Control variables are gender, age, location, education level, children’s company, spouses’ company, number of chronic diseases, sleep duration at night, self-report health level, life satisfaction, and whether disabled. The results show that both the Kernel matching method and the Radius matching method have passed the balance test, with the respective ATT values of 2.30 and 2.36. It indicates that the group of middle-aged and elderly with depression symptoms tend to fall, compared to the group without depression symptoms. This way, special attention should be paid to the walking safety of middle-aged and elderly people with depressive symptoms, intending to avoid more serious injuries caused by falls that occur to depressive middle-aged and elderly people.
Mobile Educational Game Principles in Language Learning: Validity and reliability

Mobile Assisted Language Learning (MALL) has become a popular topic recently due to the rapid development of mobile devices. The objective of this study is to revalidate game principles via MALL and to obtain consensus and expert opinions on the principles. The study employs the Fuzzy Delphi technique to collect responses from nine English Language specialists. The triangular fuzzy numbering method was used to analyze the data, and the 'defuzzification' process was used to determine each variable's position (ranking). According to the findings, the response and expert consensus on the game principles scale is satisfactory. footnote Correction - removal of Todd Cochrane as a co-author
Minimal encoders of convolutional codes with general cyclic structures

Roos’ direct sum decomposition of a cyclic convolutional code based upon a suitable construction of a minimal encoder is extended to a broader class of convolutional codes endowed with additional algebraic structure. The two (equivalent) usual concepts of a convolutional code are taken into account, as a vector space and as a module.
Testing the Unreal

The development of VR and AR systems is blurring the line between the real and virtual world. But as exciting as they are, these immersive technologies create huge challenges for testing and certification.
Educational Practice of Technical Writing Using Handy Fan as Teaching Material

Technical writing education was practiced in collaboration with faculty members specializing in Japanese language education. In engineering universities, the ability to write technical documents such as experiment reports, graduation theses, etc. is required. However, for students who are familiar with short text exchanges on social media it is difficult to write technical documents consisting of multiple paragraphs. In this paper, we describe our teaching practice using handy fan as teaching material. After the paragraph writing on disassembly procedure, operation mechanism and performance test of the handy fan, the students completed a research report on the handy fan. Finally, the effectiveness of education is discussed based on the results of questionnaire on the class.
A Study on the Accuracy of Estimated Viewpoint by the Camera Calibration with 3D Point Clouds

In this study, I used a simulation to investigate the effect of the quantity and the position of correspondence points between 2D and 3D on the accuracy of camera calibration. The 3D points for simulation of the camera calibration were measured by a 3D laser scanner and were added variability (mean = 0 mm, SD = 10 mm). The 2D points for simulation of the camera calibration were calculated projecting the 3D points onto a 2D image with the camera parameters, and were added variability (mean = 0 pixel, SD = 0 ~ 4 pixel). In the case of the relatively accurate camera calibration (54 pair points, RMSE = 1.8), the simulation results showed that the camera calibration were stable with respect to the 2D points variability. And, the camera viewpoint error was estimated to be within 100 mm. In the case of the inaccurate camera calibration (36 pair points, RMSE = 2.7), the simulation results showed that the camera calibration were unstable with respect to 2D points variability. And, the camera viewpoint error was estimated to be 100mm or more. Therefore, by running the simulation after calibrating the camera, we were able to estimate the stability of calculation results and statistical evaluation of the camera parameters.
Solutions of Short Riddles and Brain Teasers

Let us first consider data for any two diseases, say diabetes and heart disease.
Pertagis (Pertamina Gis), The Journey to One Map Pertamina to Support The Borderless Operation Excellence of Sub Holding Upstream

The development of PERTAGIS (PERTAMINA GIS), a Geospatial Information System is one response to the new restructuring challenge of PERTAMINA Sub Holding Upstream (SHU) within the regionalization framework which significantly changes the operating model and asset management. To avoid geospatial data silos, the concept of data integration is very necessary for smooth, effective and efficient decision making because the data presented is unlimited &amp; comprehensive, including in terms of analysis. In addition, as part of the Digital Transformation SHU program, this system is designed in accordance with the Indonesian government's laws and regulations (Kebijakan Indonesia Satu Peta) with the aim of integrating national geospatial data owned by all ministries into the SIGN (Sistem Informasi Geospasial Nasional). However, this massive integration of some existing portal &amp; applications with various specifications, huge data volumes, disparate databases, different data structures and owned by many entities is being a big challenge in establishing an agile proven system among multiple entities and functions within SHU, regions &amp; zones as a whole. For this reason, it is officially necessary to prepare a blueprint document as the road map of ongoing system development which includes 5 key components, namely strategy, governance, data &amp; technology, engagement and skills development, when fully well-developed and implemented would help establish a vision and path for an organization's success and transformation leveraging geospatial resources in a complex system with evolving priorities to business goal and business challenging of SHU and PERTAMINA in general.
Private-law definition of the concept and legal nature of human genetic information

The article explores the private law regime of human genetic information. To achieve the objective, an analysis of bibliographic sources in the field of genetic and genomic research, legal support for the circulation of genetic information and its legal protection was carried out. The document also analyses the provisions of the legislation and practice of the United States and the Member States of the European Union. General and specific methods of scientific knowledge, including dialectical methods, formal logic and comparative law, were used to solve the problems raised. The article clarifies the doctrinal and legal definitions of the concepts of “genome” and “gene” of an individual. It points out the dual nature of the human gene as a material object: a DNA molecule, and also as a unit of hereditary information that is intangible in nature. The article explores the possibility of attributing genetic information to objects of civil rights, in particular material objects, intangible movable property and the results of intellectual activity. The conclusions support the need to distinguish between the concepts of genetic information and genomics. In addition, it reviews theoretical approaches to define the concept and nature of genetic information.
Performance evaluation of the non-local cost aggregation in stereo matching algorithm

This paper presents the evaluation of the efficiency and accuracy of the stereo matching algorithm using a census transform with the non-local aggregation technique. This technique is proposed to reduce the average error of the overall matching process in order to produce an accurate disparity map and to access the efficiency of the matching algorithm. Fundamentally, the stereo matching process highly depends on the quality of the image pair. The properties different between left and right images such as image brightness, exposure, occlusion and less texture area have a significant influence on the matching algorithm&apos;s accuracy. Thus, this paper analysed the performance of the stereo matching algorithm using Census Transform at matching cost computation, the non-local technique of cost aggregation and winner-take-all strategy at cost optimization. The initial disparity value obtained in cost optimization is used as the final disparity map. The disparity maps obtained from three different aggregation methods are evaluated in terms of accuracy and processing time. The experimental results using the Middlebury dataset show that the non-local method is more accurate compared with other aggregation methods and while maintaining the efficiency of the algorithm.
Victimisation and the Fear of Cybercrime during the COVID-19 Pandemic: Experience of Undergraduate Students in Kenya

The victimisation model in the context of cyberspace suggests that previous cybercrime victimisation results in fear of cybercrime. Previous researchers have found mixed results in their findings. The current study uses five prevalent cybercrimes in Kenya, namely, impersonation, cyberbullying, online fraud, phishing, and computer virus, to establish the nature of the relationship between victimisation and the fear of cybercrime. A convenient sample of 55 university students pursuing a Bachelor’s degree in criminology at Dedan Kimathi University of Technology was used. Findings indicated that those who have experienced cyberbullying and impersonation and those who spend much time on social media are more fearful of cyberbullying. Moreover, those who have experienced online fraud and those who are less frequent shoppers are more fearful of online fraud, while those who have experienced phishing and those who receive a high number of spam emails are more fearful of hacking when opening links embedded in emails. Finally, those who have experienced computer viruses, as well as those who complete zero downloads per day, are more fearful of computer viruses. High internet usage, experiences of online fraud and phishing attacks and attempts which are positively related to fear of cyberbullying, can be attributed to COVID-19 times when most Kenyans were vulnerable and not working.