Reviewerly/exHarmony huggingface dataset:
Korosten Pluton (Ukrainian Shield): new major and trace element analytical data and its validation

Summary New data was acquired for Korosten Pluton (Ukrainian Shield) in order to develop specialized databank, which would meet following requirements: (1) sufficient geological background of sampling points selection, their representativeness and high level of sampled rocks petrographic study; (2) wide range chemical analysis including major and a set of litho- and chalcophile trace elements with different values of effective ionic radius and mineral/melt distribution coefficient using single technique in a single laboratory, if possible – simultaneously; (3) analytical survey conduction by means of modern, precision and most sensitive techniques; (4) high level of analysis validation, which grants reliability of initial geological information. This publication presents results of analytical data quality control: (1) values of systematic errors are minimal and don’t exceed relative standard deviation; (2) values of relative standard deviation don’t exceed 10% at lev el of 5 LOD for most of the elements; (3) trace elements concentrations usually exceed LOD value by significant margin; (4) relative standard deviation values of all major elements in the vast majority of determinations don’t exceed 10% limit. As 2–4 requirements for special databanks are met, analytical data obtained on Korosten Pluton can be successfully utilized in development of databanks, which are targeted at geochemical modelling.
Quantum - Internet. How to build the quantum internet

Experimental physicist maria Spiropulu is working on building the quantum internet, which could revolutionise finance, cyber security, defence and many other sectors.
Pacemaker GEOMAT: My Heart Your Heart

The following is from the My Heart Your Heart project home page. There is a great disparity between high- and low-income countries in terms of cardiac pacemaker and defibrillator availability. Each year 1–2 million individuals worldwide die annually due to a lack of access to pacemakers and defibrillators. Meanwhile, almost 90% of individuals with pacemakers would donate their device to others in need if given the chance. Deep Blue offers wonderful advantages for scholars at the University of Michigan who have a project that is eligible for inclusion in this digital persistent archive. There are full-time library staffs devoted to the maintenance of the digital files and the entire digital archive. Each of the years since 2009 has its own separate QR code linked to separated areas within Deep Blue. Thus, more files can be added to these areas as time goes on; the QR code remains persistent and will link to that area.
Artificial Intelligence in Banking Sector – A Study

Artificial Intelligence driven startup ventures square measure trying to redefine banking and progressive banks have launched AI primarily based pilots, be it within the house of client services, fraud management, or credit grading, among others. These ventures and pilots have sprung up as a result of AI battery-powered banking is viable currently and it©s additionally seeing acceptance among finish shoppers. All this has junction rectifier to banking business and technology leaders agreeing that computer science is among the most popular banking trends which will reshape banking in present context.
PERANCANGAN KNOWLEDGE MANAGEMENT SYSTEM PADA KANTOR DINAS PENDIDIKAN PEMDA OGAN ILIR

Local government education offices Ogan Ilir is the government agency that is engaged in education. Local government education offices Ogan Ilir Inventory goods are now using Information Systems, but has not used a special program to summarize all the information. Given the high level of knowledge of data loss due to mutation and retired employees, the education office there is no one system that can organize, collect, document and knowledge transfer data into information. This situation raises awareness of the importance of the application of process knowledge system (Knowledge Management Sytem). Expected to facilitate the Education Office in processing the inventory of goods, knowledge-coordinated and well-organized. Based on the description above, the authors conducted a study with the title "Designing Knowledge Management Systems In Local Government Education Office Ogan Ilir”.
Using unsupervised classification with multiple LDA derived models for text generation based on noisy and sensitive data

Creating models to generate contextual responses to input queries is a difficult problem. It is even more difficult when available data contains noise and sensitive data. Finding models or methods ...
Encryption Cipher Text Retrieval Scheme Based on Fully Homomorphic Encryption Enterprise Cloud Storage

Abstract With the development of computer networks, cloud storage has become the mainstream way for people to store information. However, some essential information is disclosed during the storage process and the security of information has become the most concerned issue at present. In order to use the powerful computing of cloud storage to realize resource sharing between relevant departments without revealing information of other unrelated departments, this paper proposes an encryption cipher text retrieval scheme based on fully homomorphic encryption enterprise cloud storage (ECRS), and designs an Enterprise-side security model. The model uses full homomorphic encryption, decryption and spatial vector cipher text retrieval to achieve the security of information and resource sharing among enterprise departments. ECRS determines the employee who can encrypt or decrypt the files, and who has access to the files by modifying the number of attributes intersected between attribute sets. The solution can provide the security for cloud storage, resources for different departments, and improve the accuracy for cipher text retrieval.
Digital Transformation of Students Project in the Light of Knowledge Management Process

Purpose of the articleThe purpose of this paper is to present differences in group preparation of a student project in a traditional way and with the use of digital techniques. Work on the project has been divided according to the stages of the process approach to knowledge management.Methodology/methodsThe researcher observed the work of 17 student teams carrying out the project throughout the semester in three different subjects. Students systematically analyzed the progress of work at each part of the project in accordance with the knowledge management process. They also diagnosed the effectiveness of the team's work by calculating the time of engagement at the particular stage of the knowledge management process.Scientific aimThe first scientific aim was to analyze the activities of the group's participants when creating the project in accordance with the stages of the knowledge management process. The second scientific goal was to develop a work model for a student team performing a group project using IT tools. Findings During group work, students need an average of 25% of the time to localisation the necessary information, 40% of time to acquire this knowledge (reading), 25% is creation of knowledge (project writing) and finally project corrections and formatting are only 10% of the time. The traditional way of measuring the time needed to analyze the effectiveness of the team's work, including the stages of knowledge management, is burdensome. The developed group work model is therefore based on IT technologies that allow the analysis of the effectiveness of knowledge acquisition, project creation at the individual and team level. The final evaluation of the project can therefore be varied for individual team members.Conclusions (limits, implications etc)The current level of IT technology development allows universities to implement groupware tools for students who can improve the efficiency of locating information, acquiring knowledge, creating a project and its preservation and safe storage. The final mark of the project may be differentiated for its individual members due to temporary involvement. Only the aspect of substantive participation in the joint writing of a project can be difficult to assess.
Ray W. Howard Library: Stable Links: Friendly Links

This guide will cover proxy prefixes and the use of building URLs that will work for both on campus and off campus users within the Shoreline Community College information systems. The information here reflects the changes being made to our certificates The library has created friendly URLs for the databases so that you don't have to add a prefix or find the permalink. Just make sure to use these links and you will be connecting students and staff to the resource, on or off campus.
Fail-fast in the Design Process of an Interactive Voice Response System

The world of creating new software is currently going more and more towards being as fast and agile as possible to be able to adapt to changing customer demands. The design process of new software should reflect that, which doesn't leave much time for scheduling user tests in person. How can feedback from users be gathered in a scalable way, and the design of a product be made using a fail-fast method?To answer these questions we chose to develop a new design of an existing product. The design was to be for a mobile-first way of viewing and editing an interactive voice response system in a web application. The old design of an interactable tree would not be optimal for a smaller screen. Two iterations of design, implementation and evaluation were performed, before a final evaluation of the whole project. The evaluations were performed by releasing the product to Telavox and one of their customers.The application improved greatly from one iteration to the next. Between the two iterations the usability went from poor to acceptable. The different methods of gathering feedback gave different, but all helpful, results. Gathering feedback was difficult, but in the end the design was deemed usable.
Listen to the Radio Electronic - Amsterdam Music Electronic - №102

Radio Electronic - Amsterdam Music Electronic - OnLine the Internet Translation from Netherlands Amsterdam - №102
Metodología para el diseño pedagógico del curso virtual y su aplicación en la Biblioteca General Alfonso Borrero Cabal, S.J. de la Pontificia Universidad Javeriana

This research is a reflection on virtual education and its progressiveimmersion in the educational area, this influences the changes we observe every day in the formto teach and learn. For this reason, the Alfonso Borrero Cabal Library, S.J., creates avirtual course aimed at the community of the Pontificia Universidad Javeriana, seeking to giveknow the subscribed electronic resources that are within your reach, this also withthe goal of inspiring and developing in the members of this community a culture ofresearch and self-management in the acquisition and production of knowledge.The methodology for gathering and analyzing information is framed within aqualitative that collects and analyzes the information of teachers, also in aquantitative, which collects information from students. Subsequently, these areanalyzed together. The collection techniques allowed observing and identifying in thetutors and students their perception about the virtual course. Based on these findings andexperiences of other libraries, a redesign proposal is prepared for the virtual course inthe search to achieve the coverage of the needs of the students, regarding theinformation and research consultation.
Research on Students’ Performance Portrait Method Based on Multidimensional Data

With the construction and operation of the university's intelligent application system, it also accumulates a large amount of data for colleges and universities. Many of these data are student performance data. It is of certain significance to analyze its performance characteristics through data mining technology, to realize teaching in accordance with the aptitude, intelligent management, improve the quality of education and teaching, and work efficiency. We collect data such as wireless user trajectory data, card data, and book borrowing data to analyze student performance. Construct a classification model of student performance based on cluster analysis, and analyze the performance indicators to find the rules between performance and achievement, and improve the learning efficiency of students.
Short-Time Traffic Forecasting of Urban Road Network: An ANN Model Based on DTW Clustering

Fast and accurate short-term traffic volume prediction is the core content of ITS. However, the traditional prediction methods for a certain road section cannot provide useful information for urban traffic management. This study proposes a method to predict the traffic flow distribution of the road network for a period of time in the future. K-means clustering with dynamic time warping algorithm (DTW) is used to identify the characteristics of time series of traffic flow. Artificial neutral network (ANN) is trained to predict traffic flow of the whole network. The short-term traffic flow prediction model of urban road network based on DTW and ANN is established and compared with the ARIMA, the ANN model, and the emerging LSTM. DTW-ANN model has better prediction effect in data sets of various intervals and can effectively predict the overall traffic distribution of urban road network.
Training in Writing the Simplest Programs from Early Ages

This article describes the author approach for start programming teaching at the primary school, which is sequentially teach to create simplest programs that read some numbers, do necessary calculations and write the answer.
The Informativeness of $k$ -Means for Learning Mixture Models

The learning of mixture models can be viewed as a clustering problem. Indeed, given data samples independently generated from a mixture of distributions, we often would like to find the correct target clustering of the samples according to which component distribution they were generated from. For a clustering problem, practitioners often choose to use the simple k-means algorithm. k-means attempts to find an optimal clustering which minimizes the sum-of-squares distance between each point and its cluster center. In this paper, we consider fundamental (i.e., information-theoretic) limits of the solutions (clusterings) obtained by optimizing the sum-of-squares distance. In particular, we provide sufficient conditions for the closeness of any optimal clustering and the correct target clustering assuming that the data samples are generated from a mixture of spherical Gaussian distributions. We also generalize our results to log-concave distributions. Moreover, we show that under similar or even weaker conditions on the mixture model, any optimal clustering for the samples with reduced dimensionality is also close to the correct target clustering. These results provide intuition for the informativeness of k-means (with and without dimensionality reduction) as an algorithm for learning mixture models.
Water Flow through Single Nanopipes and Spreading of Normal and Superfluid Helium Drops

Author(s): Mallin, David Joseph | Advisor(s): Taborek, Peter | Abstract: The work presented in this thesis represents two research projects which, simply put, both explore the hydrodynamics of fluids flowing along a solid boundary. In practice, the two experiments take place under the extremes of their very different conditions: one taking place at room temperature, but on a nanoscopic scale at many times ambient pressure and the other visible to the naked eye, but over a range of low pressures and at temperatures colder than outer space. The first project probes the no-slip boundary condition with the direct measurements of the smallest pressure-driven water flow through single nanotubes. The no-slip boundary condition is tested by performing room-temperature water flow experiments in both bare silica hydrophilic nanotubes and polydimethylsiloxane (PDMS) coated hydrophobic nanotubes, in order to resolve conflict in current literature. Flow rates of water through hydrophilic and hydrophobic single pipes with diameters ranging from 10 $\mu$m to 200 nm have been measured. A method of coating the pipes with a hydrophobic polymer roughly 2 nm thick was developed and the hydrophobic nature of the pipes after treatment was verified. The exact diameters of the tubes were measured using a gaseous flow impedance test, imaged directly via scanning electron microscopy (SEM), or measured through atomic force microscopy (AFM). The flow rates through both the hydrophobic and hydrophilic pipes agree with theory for viscous Poiseuille flow and are effectively indistinguishable from each other.The second research project presents the first observation of the spreading of normal and superfluid helium drops from 1.0-5.2$^\circ$K. Optical and interferometric measurements were taken from both side and below points of view within a custom designed and fabricated cryostat. Images were taken at both high-speed and low-speed to observe different spreading regimes for the drops. High speed measurements showed initial spreading speeds that follow the $r\propto t^{1/2}$ power law determined by inertia-capillary balance and show a weak viscosity dependence. The long-term measurements showed anomalously flat drop profiles and a defined contact line that persist for up to 15 minutes despite the completely wetting nature of liquid helium and the existence of a $\approx$40 nm standing film. The observed long-term spreading power law of $r\propto t^{1/7}$ was greater than those predicted by scaling solutions in lubrication theory for normal drops, and demonstrate the first experimental evidence of spreading controlled by contact line dissipation mechanisms. Superfluid drops had lifetimes too short to observe long-term spreading. The short supeerfluid drop lifetime is thought to be caused by superfluid outflow through the liquid film which covers the substrate. Several other phenomena were observed, but not rigorously studied, including apparent Leidenfrost at low $\Delta T$ and critical opalescence.
Causal Discovery in Social Weather System

In this thesis, we explore relationships between social variables that can be used to assess social events and conditions (social weather). Social weather may have hidden causes, and social events may be related to several variables distributed over diverse data sources. We built an infrastructure integrating data sources using the World Bank, stock market, happiness, terrorism, and Internet usage in the US. We performed data cleaning, data normalization and data aggregation and implemented our data store using Influx DB; we used Grafana for visual exploration of the integrated database.The integrated data store allowed us to explore data trends and relationships among the social variables. In particular, we explored causal links among large amount of social variables using the Tetrad framework. We applied several causal discovery algorithms to generate a support matrix and used the voting approach to find strong causal relationships. We demonstrated that our causal discovery results are consistent with a well-known economic model.
Antecedents of the Adoption of Social Media Policy and Its Consequences towards Internal Brand: A Conceptual Paper

Social media provides competitive advantages such as enhanced customer relations and services, cost reduction in marketing and customer services, improved information sharing and accessibility, improved brand visibility, revenue generation and competitive advantage.However, in facing these positive developments and changes, the organisation tend to lose control over the dissemination of information.Thus, the organisation will be facing potentials risk such as human error, processes, reputational risk, operational risk, regulatory compliance risk, financial risk and information security risk.To overcome these challenges, organisations need to look and adopt the governance mechanisms by being aware of the policy and risks to ensure that the risks of social media are well managed.Therefore, this study proposes to identify and examine the influence of organization nature and policy awareness, which are key antecedents of adoption of regulatory frameworks and also seek to explain the consequences of the adoption of social media regulatory framework.Specifically, the aim of the study is to identify what are the institutional perspectives on organization culture, awareness and perceived characteristics of regulatory framework as antecedence and its consequences on internal brand.Quantitative method will be adopted for this study.In order to examine the effects of regulatory framework on the internal brand, first, in the stage of item development process (qualitative data), the employee will be interviewed.Second, the questionnaire (quantitative data) will be distributed to the organization staffs for the main survey.Through good governance structure, it will enable and limit individual actions and will help the organization to manage their social media operation successfully.Furthermore, the implementation of social media guidelines or regulatory frameworks is required to protect the organisations' image and reputation.
Biases Introduced by the Algorithm Itself

In the discussion so far, you have experienced algorithms as neutral and fact-driven and actively pursuing the goal of debiasing decision-making. The types of algorithmic biases reviewed all originated outside of the algorithm, such as in real-world biases or inadequate data. In this chapter, we will dive deeper in how an algorithm works and discover situations in which an algorithm "randomly" introduces new biases in the sense of prejudice against specific profiles of instances. Much of this can be considered noise, but every once in a while, such an algorithmic bias can be magnified, reinforced, or even whipped up by the context of how the algorithm is used, in which case the effect of such an algorithmic bias might grow out of proportion.
Self-efficacy, Text Difficulty and EFL Learners’ Pedagogic Task Performance

Till recently, text difficulty has commonly been determined by employing readability formulas, however, major criticisms have been leveled against readability formulas (Graves & Graves, 2003).This research project aimed at determining text difficulty through readability formulas and Coh-Metrix. In other words, the study investigated the role of text difficulty in EFL learners’ pedagogic task performances. Since both males and females took part in the study, firstly the researchers aimed at finding out whether a different pattern of task performance existed for each. Secondly, all participants were provided with two different reading passages whose difficulty levels were determined by Coh-Metrix and readability formulas. Finally, a self-efficacy questionnaire was administered to delve into learners’ self-perceptions about their own performances on the pedagogic tasks. Descriptive statistics, paired samples t-test and repeated measures ANOVA were utilized to analyze the data. The results indicated that gender of the students had no significant impact on the learners’ performances on the pedagogic tasks. The findings revealed that text difficulty and the learners’ self-efficacy significantly affected EFL learners’ performance on the pedagogic tasks. The findings suggest that determining difficulty level of the texts through Coh-Metrix could be considered a step forward and will certainly assist language teachers and syllabus designers who strive to tailor the appropriate tasks and materials to learners at differing level of language proficiency. The results also imply that self-perceptions of learners might be a true predictor of their own performances on different tasks in general, and on pedagogic tasks in particular