Reviewerly/exHarmony huggingface dataset:
Typomorphic gold features as criteria of placer association with primary gold-silver-type sources (example from Mnogovershinnoye ore placer cluster)

A comprehensive study of native gold from Mnogovershinnoye gold cluster ores and placers (granulometry, crystal morphology, internal structure, nature of exogenetic transformations, fineness and trace element composition) was performed to define placer association with primary sources. Using ICP-MS method and X-ray spectrographic analysis, new data on geochemical gold features was obtained, which expands and clarifies the evidence of gold typomorphism from a gold-silver deposit primary source and its association with placers.
INDUSTRIAL TYPES OF GOLD DEPOSITS OF THE EAST KAZAKHSTAN

The East Kazakhstan territory is the unique geologic province where a number of large-scale non-ferrous and gold deposits are concentrated [1]. Gold base metals (gold-containing) type is represented by gold containing sulphide complex deposits. It is characterized by many large-scale commercial deposits of copper, lead and zinc where gold as well as silver, cadmium, platinum, selenium and other elements are the associate component of copper-sulphide and sulphide complex deposits [2]. There are following ore types are distinguished: gold-listvenite type occurs in the Irtysh zone (Maraliha deposit); the gold-sulphide vein-disseminated type associated with island-arc, volcanogenic-carbonate-terrigenous formation С1v2-3 (Suzdalskoye, Baibura, Mirazh, Zhaima); gold-quartzite type is characterized by gold-quartzite-vein deposits in West Kalba zone (Kuludzhun, Sentash, Kazan-Chunkur and others); gold-arsenic-carbon-bearing type is presented by large, middle and small deposits of Bakyrchik’s group (Bakyrchik, Bolshevik, Gluboky Log and others). Last one is formed on middle-Hercynian collision ore-bearing level (С2-С3) [3]. Multiple-stage concentration of gold contributed to formation of very large deposits. Gold content ranges from is 0.2 to 60 g/t, average is 8-9 g/t. Considerable part of gold is found in micro- and nanoparticles, nanotubes containing Au, Ag, Pt, Pd, W, Mo, Sn, Y, Yb, Ta and other elements [
Minimalism as a strategy for overcoming information overload of interface design for interactive city devices

Abstract The article is devoted to the consideration of the issues of forming a comfortable urban information environment using graphic design, namely, minimalism as a strategy for organizing visual information obtained through interaction with interactive interfaces in the urban environment. In modern megacities, devices with a touch screen increasingly provide the organization of the process of information interaction between a city and a person. From a visual point of view, they provide ample opportunities for the implementation of a graphic form. However, at the same time, the question remains to what extent the visual design of the software of urban information carriers affects the efficiency of their use, and how their aesthetic characteristics form the information and graphic ecology of the city. In recent years, the information space has expanded significantly; therefore, the organization of an environmentally friendly urban graphical environment has turned out to be associated with the need to apply approaches to organizing data that can reduce information and visual noise, as well as reduce the level of information pollution of the surrounding urban environment. This circumstance, on the one hand, enhances the importance of interaction design as a primary stage in creating an effective information design. On the other hand, it promotes a conscious restriction in the use of graphical tools, reflecting an ethical approach to interface design.
Information System Operation and Maintenance Analysis Method Based on Five-dimensional Model

Abstract Considering the complexity of the current power industry information system and the severity of the existing data islands, a five-dimensional analysis method for business information system is proposed. By dividing the data collected by the system into different dimensions and then combining them for unified analysis, the index tolerance interval model is constructed to find hidden dangers and anomalies in the information system and assist the operation and maintenance personnel in root cause positioning and impact range assessment.
Improving Lucene’s Performance

This chapter focuses on how to tune Lucene for optimal performance. You can use Lucene in multiple ways, but core performance ideally focuses on two aspects: indexing and querying (as discussed throughout this chapter).
Comic Media Development in Civics Subjects on Social and Cultural Diversity in Class V Elementary Schools

Executive SummaryJantia, Debi Rama. 2020. Media Development in Civics Subjects on Social and Cultural Diversity in Class V Elementary Schools. Elementary School Teacher Education Thesis, Faculty of Teacher Training and Education, Bung Hatta University.Pembimbing:1. Dra. Pebriyenni, M. Si2. Daswarman, M. PdThis type of research is Research and Development (development research). This comic medium was developed using the Borg and Gall development stages. This research was conducted in the even semester of the 2019/2020 school year with material on socio-cultural diversity. The research instrument included a validation sheet and a practicality sheet (teacher and student response questionnaires). In the validation process, the media is validated by 1 material expert, 1 media expert, and 1 linguist. In the practicality process, the media was tried out by 1 teacher and 12 students. Based on the research results, the development of Civics comic media media resulted in valid criteria with a percentage of 88.2%, and fulfilling the very practicalcriteria with a percentage of 89.9%. So, it can be concluded that Civics comic media is valid and practical to use as a learning medium. With this product, it is hoped that it can make learning more interesting and can foster students' interest in reading.Keywords: Development, Civics Comic Media.
Investigating the effect of war intelligence as an emerging issue on network-based warfare

World to the new century, the ability have entered a new stage. If recent developments are a result of the effect of new technologies is currently focused on the intelligence .Therefore, the intelligence war tells us with an information revolution as a starting point “Forces will only be able to overcome enemies by strengthening the relationship between technology and intellectual issues. Since one of the most effective martial tactics is network warfare. This research, with a new component of Battle Wise seeks to explain the effect of this component on network warfare. Therefore, this research, along with a descriptive explanation, describes the components of the new concept of wise. To recognize the generalizability of results by taking 31 samples, and measure alpha for the whole questionnaire 0/879 SPSS 21 software to help get the internal validity of the questionnaire, with the help of Kolmogorov-Smirnov test (test for normality) normal distribution of data research Was obtained. The researcher was able to understand the research data using nonparametric tests. Finally, we found the extent of the need for war intelligence, the level of impact and the role of education, as well as the extent of the impact of individual factors on increasing the effectiveness of the war in the network battle. Therefore, the main variable of the research, with a mean (4.38), was higher than the average (2.5) and with a significant difference in the test value, which means that the effect of the battle intelligence on the network battle was high.
On the value of derogations from the european convention on human rights in response to the COVID-19 pandemic: A rejoinder

In his article, “Article 15 Derogations: Are They Really Necessary during the COVID-19 Pandemic” Professor Dzehtsiarou offers a rebuttal of my contention that derogations should be used to accommodate exceptional powers enacted to confront the very real threat posed by COVID-19 Dzhetisarou’s argument is essentially a “business as usual model” and to his position, I wish to raise two principal objections First, he falls into what I term the “objectivity trap” of emergencies which leads him to believe that emergency powers may be quarantined to the duration of the pandemic without the need for art 15 Secondly, his argument that derogation will not make much difference vis-a-vis accommodation through the ordinary proportionality test is actually an argument in favour of derogations not against them © 2020 Thomson Reuters and Contributors
Semantic knowledge guides attention in real-world scenes

Stored semantic knowledge gained through experience is theorized to play a critical role in determining the attentional priority of objects in real-world scenes. However, the link between semantic knowledge and attention is largely unknown due to the difficulty of quantifying semantics. The present study tested the link between stored semantic knowledge and scene attention by combining vector-space models of word semantics derived from how we use words in written text and crowd-sourced knowledge about the world with eye movements in real-world scenes. Within this approach, the vector-space model of word semantics (i.e., ConceptNet Numberbatch; Speer, Chin, & Havasi, 2016) served as a proxy for stored semantic knowledge gained from experience, and eye movements served as an index of attentional priority in scenes. Participants (N=100) viewed 100 real-world scenes for 12 seconds each while performing memorization and aesthetic judgment tasks. A representation of the spatial distribution of object semantics in each scene was built by segmenting and labeling all objects, computing the mean cosine similarity between each object and the other objects in that scene using ConceptNet, and then adding the mean object similarity values for the locations that objects occupied within the scene. We then applied a logistic general linear mixed effects model to examine how a scene region’s semantic value was related to its likelihood of being fixated with subject and scene as random effects. The results showed that the higher the semantic value of a scene region, the more likely that region was to be fixated. These findings help bridge the gap between the theorized role of stored semantic knowledge and attentional control during scene viewing and also highlight the usefulness of models of word semantics to test theories of scene attention.
LibGuides: Study Break: Home

Studying is hard work! Why don't you just kick back, take a break, and watch a couple of funny videos? You've earned it.
Introducing the TurkEyes toolbox: UIs for crowdsourcing attention without an eye tracker

Eye movements provide insight into what parts of an image a viewer finds most salient, interesting, or relevant to the task at hand. Unfortunately, eye tracking data, a commonly-used proxy for attention, is difficult to collect at scale. Here, we present TurkEyes, a toolbox of crowdsourceable user interfaces to collect attention data without using an eye tracker. The four interfaces in our toolbox represent different interaction methodologies found in the literature for capturing attention. ZoomMaps (introduced here) is a "zoom-based" interface that tracks the viewport on a user's mobile phone while they pan and zoom. CodeCharts (inspired by Rudoy et al., 2012) is a "self-report" technique where participants specify where they gazed using a grid of codes that appears after image presentation. ImportAnnots (O’Donovan et al., 2014) is an "annotation" tool for selecting important image regions, and BubbleView (Kim et al., 2017) is a "cursor-based" moving-window approach that lets viewers click to reveal a small area of an otherwise blurred image. We place these interfaces within a common code and analysis framework to compare their output and develop guidelines for how to use them. We design experiments and validation procedures to capture high-quality data and explain how to convert the output of each method into an attention heatmap. Using Amazon's Mechanical Turk, we collect attention heatmaps on a variety of image types. Although all the interfaces capture some common aspects of attention, we find that they are best suited for different image types and tasks. For example, ZoomMaps is ideal for large, multi-scale visualizations; CodeCharts captures eye movements over time; ImportAnnots works well for graphic designs; and BubbleView is cheap but distorts the stimuli. This toolbox and our analyses facilitate exciting opportunities for gathering attention data at scale without an eye tracker for a diversity of stimuli and task types.
العوامل المحددة لتبنى أنظمة الموارد البشریة السحابیة وأثرها على سیاسات إدارة المواهب فى الشرکات الصغیرة والمتوسطة

Purpose: To reach the most important factors determining the adoption of cloud human resource systems, testing the relationship between these factors, and talent management policies while mediating the actual use of cloud human resource systems in small and medium-sized companies.Design / Methodology / Approach : The descriptive analytical approach was chosen, with a heavy reliance on the TOE framework, and the research relies on survey data from a sample of (295) individual managers and information technology specialists in small and medium companies, and the path analysis method was used to evaluate Structural relationships of the research model.
Multiple reference frames for oculomotor contributions to visual working memory in an immersive and unconstrained virtual reality environment

When we direct covert attention in external visual space, microsaccades tend to become biased in the corresponding direction. We recently showed that this “gaze bias” persists even when directing attention to items within the internal space of visual working memory. Here we investigated this bias in a virtual reality (VR) setting to address two key outstanding questions. First, this tight coupling between the brain’s oculomotor system and attentional focusing is usually investigated in laboratory tasks with restrained head movements. Using VR, which allows participants to freely move their head, we demonstrate that focusing internal attention to locations in memorized space is still associated with a gaze bias in the same direction. This reveals that the involvement of the oculomotor system in internally directed attentional focus persists under more ecologically valid conditions without head movement restriction. Second, directly capitalizing on this observation, we were able to investigate how, following locomotion (again enabled by the VR setting), we maintain and select memorized visual shape information through memorized spatial locations. This revealed oculomotor contributions to both maintenance and selection of items in working memory, which relied on both the original and the updated locations of these items in 3D space. This opens exciting new avenues for investigating how we maintain and select items in working memory in ecological and immersive 360-degree environments.
ON NANO $\mathcal{M}_ r$-SET AND NANO $\mathcal{M}_{r^\star}$-SET IN NANOTOPOLOGICAL SPACES

In this paper, we introduce the notions of nano $\mathcal{M}_r$-sets and nano $\mathcal{M}_{r^\star}$-sets in nanotopological spaces and their properties are discussed with suitable examples.
State-Level Students Grievance Support System

Students are the essential factor in an organization. The Scholar may feel dissatisfied with the service when he or she receives the delay of services. To beat this, we offer an optimized solution for the student grievances support system for improving the relationship between student and university by representing the model of e-complaint web-based system. The prevailing system has manual processing through committee, principal, head of department and college premises. This project overcomes the restrictions of the existing systems of complication of submitting a complaint and organizing it and it'll be a State-level support system. The proposed model is that the student has the ability to post a complaint easily and specifically using categories through our application and therefore the Admin are often ready to sort complains by supported keywords since the web application involves the utilization of keywords that are Students, Committee, Principal, University and Campus Which can be help us to provide the update data information through internet and It will helps to overcome the time process in an efficient way by acquire, store and process the data.
Legal Basis Review for the Establishment of Long Term Follow-up of Medical Products in Korea and Mid-Term, Long-Term Plan for Introduction of new Regulation

As the safety issues of medical products have been continuously generated, the need for long-term safety management, such as long term follow-up (LTFU), has been emerged. Current laws and regulations in Korea, however, have limitations to implement LTFU and track medical products immediately. This review examines the current status of safety management of medical products in Korea to propose future plan for establishing medical products LTFU system in Korea. We review the laws and regulations for safe use of medical products and compare regulations, definitions and processes in the following laws: Pharmaceutical Affair Act, Medical Device Act, Act on Safety and Support for Advanced Regenerative Medicine and Advanced Biopharmaceuticals. In case of medicinal products except Advanced Biopharmaceuticals, regulations are needed to be developed and enforced even though there is legal basis for LTFU in Pharmaceutical Affair Act. In Medical Devices Act, there is no legal basis for conducting LTFU. Thus, establishing safety management regulation for LTFU in medical devices is essential. On the other hand, LTFU on advanced biopharmaceutical has implemented since this August with the new law. In order to conduct a LTFU and registry management, the regulatory science center should have a systematic process and manpower. Furthermore, to establish a LTFU system for all medical products, running pilot project is essential to evaluate feasibility. Public relations activities and training expertise to induce stakeholder participation is indispensable for successful implementation of LTFU.
Research on a pose measurement method of binocular vision based on a coplanar target

Monocular visual camera measurement can obtain the accurate pose information of 3D objects from a single image, but the pose ambiguity problem will inevitably occur when using the same method to process 2D object images. To solve this problem, this paper proposes a binocular vision method, using two pre-calibrated cameras to shoot the coplanar target from different angles at the same time, and matching the corresponding image points of the coding markers on the coplanar target. After obtaining the 3D coordinates of the coded points, the pose information of the target is calculated by Bundle Adjustment method. The experiment results show that this method can effectively solve the problem of pose ambiguity in monocular vision. Compared with other methods, the pose measurement method proposed is faster and more robust with larger coding capacity , more accurate positioning, and better comprehensive performance.
Use of QR codes for enhancing access to library resources and services: a case study of IIT Gandhinagar library

The Quick Reference (QR) Code is the trademark for two-dimensional barcode (or matrix barcode). This code system has become a popular technology in the present era because of its fast readability and greater storage capacity compared to the standard barcode. The QR code is a multidimensional barcode with various colour, size, and shapes. The main goal of this code is to direct communities to particular products or resources through links. Quick Response Code is, usually developed, for product promotion like the barcodes. This paper attempts to present a quick overview of the technology and how libraries adopted it early, to promote their resources and services. IIT Gandhinagar library has been one of the early users of this technology for promoting its services amongst its user community. It has adopted and demonstrated the benefits of this technology by applying it to over a dozen areas of library services. Because of its ease of use and speed, it has been observed that during the last two-three years, acceptance and use of this technology among the current generation of students has gone up for retrieving and downloading information. In fact, more number of students have been asking for applying QR in other areas of library services. Authors present here a successful case study of how QR code technology has been implemented at IIT Gandhinagar Library on Android-based mobile phones and how it has now become a part of the routine application for enhancing access to library resources and services.
Can We Detect Face Morphing to Prevent Identity Theft?

A relatively new type of identity theft uses morphed facial images in identification documents in which images of two individuals are digitally blended to create an image that maintains a likeness to each of the original identities. We examined people’s ability to detect facial morphing. We collected 3,500 passport-format facial images. This dataset consists of a diverse set of people across gender, age, and race. Convolutional neural network descriptors are used to extract a low-dimensional, perceptually meaningful, representation of each face. For each of 54 faces, these representations are used to find the most similar face in the dataset. A mid-way morph is generated between each pair of different individuals; another mid-way morph is generated between two different photos of the same individual. The morphs are manually edited to remove obvious artifacts. In Experiment 1a (all experiments, N=100), on each trial, participants viewed two images—an original image alongside a morph (from the same or different individual)—and indicated if they are of the same individual or not. Participants struggled to perform this task accurately and were biased to respond “same” (d’=0.68; B=1.81). In Experiment 1b we focused participants’ attention on the eye/nose/mouth regions and provided feedback on each trial. This did not improve sensitivity but led to a reduced bias (d’=0.58; B=1.09). In Experiment 2a, participants saw a single image—a morph or an original—and indicated if it was a morphed face or not. Participants performed only slightly above chance (d’=0.21; B=0.98). In Experiment 2b, when participants were informed of morphing artifacts to look out for and received feedback, performance improved slightly (d’=0.53; B=0.92). Preliminary results suggest that computational methods for face recognition may outperform humans but remain imperfect. Combined, these results suggest that face morphing might be a worryingly effective technique for committing identity theft.