Reviewerly/exHarmony huggingface dataset:
VIPurPCA: Visualizing and Propagating Uncertainty in Principal Component Analysis

&lt;p&gt;This work offers a generic example for the visualization of uncertainty propagated through nonlinear algorithms by automatic differentiation. Scientists use increasingly elaborate algorithms to assess and analyze empirical data. Uncertainty estimates — error bars — are crucial for scientific analysis, but many modern computational analysis methods do not propagate uncertainty from their inputs to their outputs. Our example treatment of PCA combines the classic notion of linearization for error propagation with the power of modern automatic differentiation, and can be applied to other methods, too. We provide a visualization technique to go alongside this approach: Animations along orbits of the probability distribution provide an additional visual channel to represent uncertainty even in plots that are already visually dense as point estimates.&lt;/p&gt;
School Literacy Movement: A Literature Review

This study aims to determine: (1) the context of the implementation of the school literacy movement program, (2) input on the implementation of the school literacy movement program, (3) the process of implementing the school literacy movement program, and (4) the product of the implementation of the school literacy movement program at SMA IT Baitul Jannah Bandar Lampung. The design of this study is an evaluation study using the Evaluation Model (CIPP) Context Input Process and Product. Data collection was carried out by interview, documentation, and observation techniques. The results showed that: (1) the context of the School Literacy Movement program at SMA IT Baitul Jannah Bandar Lampung was carried out in accordance with the regulation of the Minister of Education number 23 of 2015 concerning ethics which is classified as increasing student knowledge, student character, and student interest in reading, (2) input of the School Literacy Movement program in program scheduling, program funding and supporting facilities and infrastructure are classified as being in accordance with needs, (3) the School Literacy Movement program process has been carried out according to the plan but there are obstacles faced, namely in the form of not optimal socialization to students, lack of student motivation, and low student interest in reading, teachers have not received training related to literacy programs, teachers’ views that School Literacy Movement interferes with class hours, and implementation time is still lacking. (4) the School Literacy Movement program product is in accordance with the objectives but there are still things that need to be improved, so the School Literacy Movement program at Baitul Jannah IT High School needs to be continued at the stage and in the following year with some improvements and some things that need to be improved.
The Stark Realities of Reproducible Statistically Orientated Sociological Research: Some Newer Rules of the Sociological Method

There is increasing concern that research is not transparent and that empirical results are often impossible to reproduce. Guidelines for undertaking reproducible research have been proposed by a number of academic areas (e.g. computational economics, psychology and medical research), however currently there are no guidelines for sociological research. This methodological paper provides guidance for undertaking reproducible statistically oriented sociological research. We provide an extended demonstration of the issues associated with reproducing results and undertaking transparent analyses. We draw on suitable concepts and techniques from open research, e-research and computing. We propose a set of Newer Rules of the Sociological Method, for undertaking transparent statistically oriented sociological research that supports reproducibility.
Multimodal image translation via deep learning inference model trained in video domain

Current medical image translation is implemented in the image domain. Considering the medical image acquisition is essentially a temporally continuous process, we attempt to develop a novel image translation framework via deep learning trained in video domain for generating synthesized computed tomography (CT) images from cone-beam computed tomography (CBCT) images.For a proof-of-concept demonstration, CBCT and CT images from 100 patients were collected to demonstrate the feasibility and reliability of the proposed framework. The CBCT and CT images were further registered as paired samples and used as the input data for the supervised model training. A vid2vid framework based on the conditional GAN network, with carefully-designed generators, discriminators and a new spatio-temporal learning objective, was applied to realize the CBCT-CT image translation in the video domain. Four evaluation metrics, including mean absolute error (MAE), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and structural similarity (SSIM), were calculated on all the real and synthetic CT images from 10 new testing patients to illustrate the model performance.The average values for four evaluation metrics, including MAE, PSNR, NCC, and SSIM, are 23.27 ± 5.53, 32.67 ± 1.98, 0.99 ± 0.0059, and 0.97 ± 0.028, respectively. Most of the pixel-wise hounsfield units value differences between real and synthetic CT images are within 50. The synthetic CT images have great agreement with the real CT images and the image quality is improved with lower noise and artifacts compared with CBCT images.We developed a deep-learning-based approach to perform the medical image translation problem in the video domain. Although the feasibility and reliability of the proposed framework were demonstrated by CBCT-CT image translation, it can be easily extended to other types of medical images. The current results illustrate that it is a very promising method that may pave a new path for medical image translation research.
DETERMINANTS OF FOREIGN DIRECT INVESTMENT INFLOWS TO SUB-SAHARAN AFRICA

As government assistance shrinks, foreign investment (FDI) is becoming an increasingly important source of funding for Africa. SSA is the only rising region that has attracted foreign direct investment. Increased returns on investment and improved infrastructure benefit non-SSA countries, whereas SSA countries do not. The goal of the study was to determine what factors influence the flow of foreign direct investment into Sub-Saharan Africa. The analysis was conducted using World Bank World Development Indicators from 1996 to 2020. Both standard least squares and modified ordinary least squares approaches were used in the analysis. According to the conclusions of the study, research and development has a negative impact on investment in Sub-Saharan Africa, whereas human development has a favourable impact. The findings suggest that governments should strengthen and defend policies that assist the private sector in attracting new investment in order to boost economic growth. The countrys human capital must be strengthened in order to achieve growth. KEYWORDS: Foreign direct investment, institutional quality, business environment, FMOLS, OLS estimation, Sub-Saharan Africa
Post-Quantum Secure Password-Authenticated Key Exchange Based on Ouroboros

Password-authenticated key exchange (PAKE) protocols play an important role in cryptography. Most of PAKEs are based on the Diffie–Hellman key exchange protocols or RSA encryption schemes, but their security is threatened by quantum computers. In this study, we propose the first code-based PAKE protocol based on Ouroboros, which is a code-based key exchange protocol. Our scheme enjoys high efficiency and provides mutual explicit authentication, with a security reduction to decoding random quasi-cyclic codes in the random oracle model.
Teachers’ Perception on English Textbook for Grade Ten

This paper examines teachers’ perceptions of the academic and physical aspects of the English Textbook of Grade Ten. The researcher selected fifteen teachers from five schools using a judgmental non-random sampling method. The collected data and the teachers’ opinions were determined and analyzed by studying the book and evaluated using checklist tools. The main finding of this study shows that the textbook has both strong and weak points. Strong aspects of a textbook are an attractive cover page, biased free language, easily perceptible vocabulary, appropriate exercises, clearly reflected objectives, listening texts, and sufficient speaking and reading texts. The weaknesses are poor binding, poor paper quality, lack of skill focus on exercises, lack of illustrations, lack of references and supplementary materials as well as teacher’s guide. The results of this study could be helpful in the development of appropriate English textbooks of grade ten. Based on the finding, the paper also recommends improving the textbook.
Terminologies and Techniques based Image Encryption A Survey

In this day and age of social media and smartphones, when practically all smartphone users are clicking and publishing their pictures on social media, it is of the utmost significance that the images that are transferred remain secure. Image encryption algorithms are an important part of the multimedia application landscape, playing an important part in both the security and authenticity of images. The purpose of this work is to provide an in-depth analysis of a variety of image encryption methods. In comparison to grayscale images, colored images are more affordable technologically, thus more people use them. Additionally, colored images have more information packed into them, so they are more useful. In this paper, a state-of-the-art survey of various techniques developed by various researchers in the field of image encryption is presented, and a detailed comparison of various available techniques and algorithms in the field of image encryption is carried out. Both of these aspects are addressed in the context of this particular paper.
Matching Model of Dance Movements and Music Rhythm Features Using Human Posture Estimation

The essential issue in music understanding and dance synthesis research is how to improve the degree of matching between dance motions and music rhythm elements. The matching model of dance movements and music rhythm features is created in this study based on human posture estimation research to tackle the problems that existing matching methods are prone to rapid changes in movements and cannot keep the original movement features. The rhythm properties of movement and music data are first analyzed, and then the degree of matching between movement and music pieces is measured using a dynamic time warping technique. A constraint-based dynamic planning approach is also used to synthesize the dance action sequence that best matches the supplied music. Experiments reveal that this model has a matching accuracy of 95.1 percent, which is higher than the two comparative models’ matching accuracy of 5.2 percent and 7.6 percent, respectively. The matching score of this paper is high, reaching around 94 percent, according to the user research results. The method suggested in this work has apparent advantages in that it may efficiently help users in the arrangement of desired dance moves or backing music, and it can be applied in the field of actual choreography and scoring.
Milovanova Developing High School Students’ Listening Skills in The Context of Multimodal English Communication by Means of a MoodleBased Training Program

There are many publications about the importance of emotions in the educational process. They prove that emotions are an effective management tool, including the attention of students. However, the practical application of this tool remains outside the scope of research, that is, there are no methods for managing emotions. This article offers the experience of transferring theoretical concepts into practice using all basic emotions in the context of the main forms of studies at the university. The aim of the research is to analyze the features of the use of emotions in the educational process in higher education and to offer practical tools for managing emotions. Research methods : content analysis of specialized literature, morphological analysis of all basic emotions and basic forms of employment, descriptive analysis for presenting emotion management tools, their main advantages and disadvantages. Results: correspondence of emotions to learning goals and forms of classes was obtained, a method for managing students’ emotions was developed, a test example of applying the method was given, the capabilities and limitations of the most common tools for managing emotions were analyzed: teaching metaphor, storytelling, facilitation, and gamification. Practical use. The results allow managing the students’ emotions in the context of solving educational and methodological problems. The proposed tools are universal and can be used in teaching technical and humanitarian disciplines to increase the emotional involvement of the audience in the educational process, as a motivating component, thereby increasing the quality of mastering the material. Discussion. Since excessive emotions can block the cognitive abilities of students, lead to emotional “sticking”, methods of harmonizing the cognitive and emotional components in the educational process are needed.
The method of graphical rank analysis in the study of ratings of educational institutions

Introduction. Educational institutions (EI) ratings presented in a list or in the form of rating tables do not give an idea of the adequacy and objectivity of the system of criteria and rating indicators chosen by managers. Therefore, the published EI ratings, including in 2021, are criticized, require confirmation of the adequacy of their criteria and indicators by other methods. This is the method of graphical rank analysis in combination with the coenological approach. This method also makes it possible to identify any set of objects with a coenosis. Purpose setting. The appearance in Russia of a new type of EI – online schools determined the first task of the study, which is to answer the question: "Is the totality of Russian online schools a random set of objects or is it a new kind of sociocoenosis?" The second task of the study is to test and apply the method of graphical rank analysis based on coenological approach to assessing the ratings of educational institutions in 2021 by analogy with the methodology for assessing the validity of test tasks developed earlier. Methodology of the study. Graphical rank analysis with a coenological approach is based on the construction of graphical rank distributions using computer technology and their approximation to a hyperbolic function – the dependence of the parameter under study (in our case, the rating quality indicator) in descending order from the increasing rank number r = 1, 2, 3,…. The coincidence of the empirical and theoretical graphs of rank distributions indicates that this set of objects belongs to the coenosis (or to its population – part of the coenosis). Results. The results of applying graphical rank analysis to a new phenomenon in the Russian education system – online schools are presented and it is proved that this new community of online schools is a new type of sociocoenosis in the systematics of educational institutions in Russia. The possibility of applying the method of graphical rank analysis with a coenological approach to the evaluation of the ratings of EI is shown. This method made it possible to determine the quality levels of rating systems for evaluating the activities of educational institutions. The evaluation of the ratings of educational institutions in 2021, conducted using this method, showed average and high levels of quality of the ratings considered. Conclusion. The method of graphical rank analysis with a coenological approach allows us to quickly and effectively assess the adequacy of the rating of educational institutions in a formal mathematical way without delving into the content of each rating indicator, which is its scientific value, theoretical and practical significance.
Fairness Perception of Policy Stakeholders in College Admission in Korea

It has been known that Korea has the highest college enrollment rate due to the role that college entrance plays in determining the socioeconomic status of students in their future. About 10 years ago, the Ministry of Education in Korea initiated the Comprehensive School Report-based Admission (CSRA) under the recognition that the college admission system needs to be diversified. Since then, the fairness of the CSRA has been at the center of controversy. This study aimed to draw the implications for college admission policies by comparing the perception of the main stakeholders (students and parents, teachers, admission officers, and faculty admission committee) on the CSRA. The perception data of 150 participants on the six aspects of the CSRA were gathered through a questionnaire and the results were analyzed for group differences. A FGI was additionally administered with 12 participants. This study found that the stakeholders perceived the CSRA as important and necessary. However, the perception of the stakeholders on the fairness of the CSRA presented itself differently depending on the interests each group holds. The results of this study showed that close examination of the multifaceted perceptions and individualized experiences of the stakeholders should be taken into consideration when the perception of fairness in the CSRA is examined. It also implied that the government should provide stakeholders with the opportunities to be informed of the CSRA to promote trust in the policy.
Adaptation of students to the distance learning format

Introduction . The problems that arise for students and teachers in the transition from full-time education to distance learning are considered. The results of the current control and intermediate certification of students received in full-time and distance learning are presented, their comparative analysis is carried out. Purpose setting. The purpose of the study was determined: to generalize the existing experience in organizing distance learning and to create tools for developing skills in working with the software necessary to complete tasks in synchronous and asynchronous learning. The tasks that need to be solved to achieve this goal are listed. Methodology of the study. The research methodology was general scientific methods of theoretical knowledge, methods of analysis and generalization of scientific works devoted to the study of the competency-based approach to the formation of a specialist. Results. The option of supplementing the general competence "Use information technologies in professional activities" with relevant, in the opinion of the author, knowledge and skills is considered. The article presents the algorithm for the development and implementation of the discipline "Business Informatics" in the educational program of the specialty 18.02.12 "Technology of analytical control of chemical compounds", the thematic plan and structure of the work program of the discipline are given. Conclusion. The possibilities of web2.0 services for developing tasks are considered, their functionality is briefly outlined, and an assessment of the listed ones according to the criteria chosen by the author is given.
AIRCRAFT FUEL TANK INSPECTION WITH HEXAPOD MOBILE ROBOT

A large number of inspections and modifications of the aircraft's fuel tanks as well as their adjacent systems must be made inside them.The necessary maintenance and repair tasks must be performed by technical personnel, who must physically enter the fuel tank, where it is exposed to many environmental risks.These potential risks include: fire and explosion, toxic and irritating chemicals, oxygen deficiency, and the limited nature of the fuel tank.This paper focuses on modeling and simulating the movement of the hexapod mobile robot using LabView 14.04 used in the interior of the aircraft fuel tank inspecton.The analysis will help to demonstrate if the mobile robot is fit for this such activities and protect the human factor.
Targeting Paleovalley-Related Ferricrete Units in Yilgarn Craton Using High-Resolution Aeromagnetic Data and Spatial Machine Learning

The ferricrete units (Fe oxide cemented colluvial-alluvial sediment) of the Yilgarn Craton in Western Australia formed during the humid tropical and sub-tropical climates of the Cenozoic. Ferricretes are generally developed on long-lived paleodrainage systems and are products of the ferruginisation of detritus provided by the continuous erosion of upslopes. These iron-rich accumulations can become Au-enriched, as is the case in several locations previously discovered in the Yilgarn Craton; many of these host economic secondary gold deposits (e.g., Moolart Well, Mt Gibson, and Bulchina), typically occurring downslope of low saprolite hills and near paleovalleys (i.e., inset-valleys). Inset-valleys are a common paleotopographic feature buried under Quaternary alluvial and colluvial sedimentary cover. Maps of these ancient channel networks can be used as a proxy for targeting ferricrete gold deposits. These inset-valley systems generally form dendritic and noisy patterns in high-resolution aeromagnetic data due to the presence of maghemite-rich nodules and detrital magnetic pisoliths on their flanks. The main aim of this study was to use high-resolution aeromagnetic data to target ferricrete units related to inset-valleys systems across the Yilgarn Craton. A spatial predictive model was used to learn and predict the geological units of interest from pre-processed aeromagnetic data. The predicted inset-valleys systems were able to confine the exploration space and define a new exploration frontier for ferricrete gold deposits.
Opening the Collection Development Policy

The Iowa State University Library has set its sights on making academic literature more open, available, and reusable.This is a huge endeavor and several units within the library work to make research information more open.You can see evidence of this on our website: I'm the relatively new (11 months) Director of Collections and Open Strategies.Most libraries have someone with the job title of collections manager or director of collections, or head of collections.Making research information open is such a priority that 'open strategies' has been added to that job title and description.The traditional part of my job focuses on building library collections that support research and teaching at ISU.