Reviewerly/exHarmony huggingface dataset:
Hydrothermal alteration and mineralization of the prospects at the northern flank of the Baimka ore zone, Western Chukotka

Background. Some papers describing the deposits and prospects in the Baimka ore zone (Baimka Trend), the Chukotka Autonomous Region have been recently published. It should be noted that those publications concern with the large Peschanka porphyry copper-molybdenum-gold deposit and Nakhodka ore field. At the same time, some copper prospects were found at the zone flanks and their nature is not clear. There are no data available in the literature that would clarify the mineralogy of hydrothermal alteration and ores at those prospects, including Top and Luchik located at the northern flank. To understand the nature of these prospects, we studied in depth mineralogy of hydrothermal alteration and ores. Aim. This study aims to describe mineralogy of metasomatic rocks and ores from the Top and Luchik prospects in the northern part of the Baimka zone, Western Chukotka. Materials and methods. Several dozen polished thin sections were microscopic studied at the Department of Mineralogy of Moscow State University using an optical microscope. The chemical composition of minerals was determined using electron microprobe at the Laboratory of Analytical Techniques of High Spatial Resolution, Department of Petrology and Volcanology, Moscow State University. Results. It was found that propylitic is the major hydrothermal alteration at the prospects studied here. Metasomatic rocks are cut by mineralized quartz and carbonate-quartz veins. Chalcopyrite and pyrite are the major ore minerals; galena, sphalerite, pyrite enriched in As and Sb, and marcasite are minor; Hg-bearing tetrahedrite-(Zn), native gold with the fineness of ~830, petzite, hessite, and acanthite are rare. Conclusions. The data obtained suggest that mineralization at the Top and Luchik prospect is attributed to the epithermal intermediate sulfidation type. Considering the occurrence of the epithermal mineralization in the upper part of the hydrothermal column and the porphyry mineralization in the Baimka zone, the porphyry mineralization is possible at depth at the Top and Luchik prospects.
On Probabilistic Logical Argumentation

In this paper, we introduce a framework for probabilistic logic-based argumentation inspired on the DeLP formalism and an extensive use of conditional probability. We define probabilistic arguments built from possibly inconsistent probabilistic knowledge bases and study the notions of attack, defeat and preference between these arguments. Finally, we discuss consistency properties of admissible extensions of the Dung’s abstract argumentation graphs obtained from sets of probabilistic arguments and the attack relations between them.
The Lay of a Virtual Land: Cryptocurrencies as Collateral

The rapid rise of cryptocurrencies over the last twenty years has interjected havoc into the staid field of commercial law, one long regulated by the Uniform Commercial Code (“U.C.C.” or “UCC”). Naturally, many individuals and organizations started to count their stash of cryptocurrencies as valuable, albeit intangible, assets, and a growing number of lenders responded by forsaking their initial reluctance to accept cryptocurrency as collateral. As a result, the U.C.C.’s ninth article, which generally governs secured transactions where security interests are taken in personal property, has been forced to try and make sense of the collaterization of cryptocurrencies. After all, if the law of secured transactions can no longer provide lenders with assurance of legal relief in case of default by a borrower, Article 9’s purpose will be defeated by the digital age’s latest disruptive innovation. This article surveys this law, providing a precis of emerging complications and debates.
Aplikasi Berbasis Crowdsourcing Guna Mengetahui Kondisi Jalan Di Kota Malang

The city of Malang as a city of education and tourism has seen an increase in the number of vehicles that can cause, among others, road congestion, air pollution, waste of fuel and road damage. The road that is often jammed if left unchecked will have an impact on the smooth journey and satisfaction of road users. Along with the development of information technology, this can be overcome with applications based on Geographic Information Systems and crowdsourcing, where road users can see road congestion through their mobile devices in real time. Research related to the Design of a Geographic Information System to Monitor Road Conditions Utilizing Twitter Social Media has been carried out but is limited to Twitter users[5]. To overcome the road congestion, a crowdsourcing-based application solution is needed. Based on this problem, a crowdsourcing-based application with Java and PHP languages is needed and uses a MySQL database. The advantage of this application is that it can display information on road congestion, alternative routes in Malang City to the Malang City Transportation and Traffic Police Office and road users directly at the point of congestion through their devices.
User-Based Collaborative Filtering Using Agglomerative Clustering on Recommender System

Content-based, collaborative filtering, demographic, knowledge-based, and hybrid recommender systems are the five categories of recommendation systems.Userbased collaborative filtering and item-based collaborative filtering are the two types of collaborative filtering.However, the user-based approaches can be claimed to represent the user; researchers will employ them here.This method is more concerned with the user's likeness, or similarity than with the user's evaluated item.The accuracy of user-based collaborative filtering approaches employing agglomerative Clustering with similarity computations, i.e., cosine similarity, is improved in this study.MovieLens (https://grouplens.org/datasets/movielens/)provided the researchers with the data they needed.Between January 9, 1995, and October 16, 2016, a total of 100004 ratings for 9,125 films were collected from 671 individuals.At least 20 movies have been rated by each user.Each rating has a value of 1 to 5. The data utilized for testing is five value data from each user.In other words, 3,355 data points were tested in total.Using the single linkage clustering approach to cluster films in the use-based method has been shown to improve the accuracy of results that differ significantly between scenarios one and two, namely 3,409 and 3.26.MAE and RMSE are the accuracy gauges utilized in the analysis, and the smaller the value (closer to zero), the better the program results.The findings of two trials (2 Scenarios) revealed significant differences between scenario 1 and scenario 2, namely 3,409 and 3.26.This is because in scenarios 1 and 2, only neighbors with similarity values greater than zero are utilized to find predictions, regardless of whether the neighbor has scored the film to be forecasted or not.In scenario 1, however, the results produced by adding the single linkage clustering approach to the user-based method as mentioned above are not as good.As the value obtained grows larger, the system's level of accuracy decreases.However, the results achieved in scenario 2 are smaller, but the differences are not significant.
Teaching System of Embedded Mechanical Manufacturing Specialty Based on Deep Learning

With the increasing development of electronic computers and the popularization of computer technology, management systems have been widely used in the society. With the continuous improvement of the teaching system, the methods of education and teaching are also quietly changing, especially in the field of higher vocational education. Due to the characteristics of vocational education, it makes “training project progress control” and “teaching resource integration” the teaching requirements of “distribution,” “strictly restricting daily work habits,” “improving professional quality,” and “teachers’ effective control of the quality of students’ personal projects” that have become increasingly urgent needs in vocational colleges. There is a certain gap between the standards and quality of talent training in our country’s applied undergraduate colleges, and the society’s requirements for high-skilled talents and practical teaching in applied undergraduate colleges are a necessary condition for cultivating high-skilled talent. This subject research takes the mechanical manufacturing professional practice teaching system as the research object, conducts in-depth investigation and research in applied undergraduate colleges, explores the status quo of the mechanical manufacturing professional practice teaching system of applied undergraduate colleges, and analyzes the reasons for the problems. In this study, six classes of mechanical manufacturing majors in six applied undergraduate colleges were selected as the experimental group and the control group for comparison. The experimental group adopts an embedded mechanical manufacturing professional teaching system based on deep learning. In daily teaching, the control group used traditional teaching methods to learn. The questionnaire understands the role of the embedded machinery manufacturing professional teaching system in teaching from four aspects: practical teaching curriculum, practical teaching content, practical teaching equipment, and practical teaching teachers. Experiments have proved that more than half of the people think that the teaching effect of the current mechanical manufacturing professional practice teaching courses is average; only 17.18% think that the classroom is good, and 24.36% think that the classroom is poor. This shows that the construction of similar engineering professional practice is in line with the major itself, and the teaching system has theoretical guiding significance, which is conducive to the seamless connection of mechanical manufacturing majors and industrial positions in applied undergraduate colleges; it is conducive to continuously improving the core competitiveness of mechanical manufacturing majors in industrial and applied undergraduate colleges.
Safety System for Industrial Robots Based on Human Detection Using an RGB-D Camera

A robotic system, in general, should be safe for the operators who are using it and, if possible, it should be safe for the system itself and the environment it interacts with. This paper investigates three methods for human detection by an RGB-D camera and their adjustments for monitored robot movement. The methods are implemented in ROS and integrated into a robotic system consisting of an industrial robot arm ABB IRB-2400L and an RGB-D camera. Validation and comparison of the implemented algorithms was performed on the recorded video dataset containing people in the robot working area with per-frame annotations of human presence, velocity and proximity to the robot. The algorithms detect humans with highest recall of 98%.
Blockchain:Innovation for Industry and Logistic

Some time when always more things in Internet of Things and machines in the smart factory communicate with each other in network the data safety and reliability, gain increasing importance. Exactly here the blockchain technology makes an on set which render the storage and safe management of data possible.
PEMETAAN DAERAH POTENSI RAWAN BANJIR DENGAN SISTEM INFORMASI GEOGRAFI METODE WEIGHTED OVERLAY DI KELURAHAN KETEGUHAN

Abstract&#x0D; &#x0D; Keteguhan Village is an area that has the highly potential to flood disaster, such as the flash flood incident that occurred on March 30, 2020. Floodprone mapping is needed to map flood prone potentials in SKeteguhan Village with the aim of increasing the alertness and readiness of the Keteguhan Village’s community in dealing that disaster. The used method includes processing the parameters of rainfall, land cover, slope, soil type, land height and land cover, then carried out by a weighted overlay process to form new data in the form of a flood prone potential map. The obtained results are that there are 3 potential areas, namely the lowlands along the river area of Umbul Kunci Street, the river area in the nearest neighborhood of Keteguhan Village and Mushollah Nurul Jannah on Laksamana R.E. Martadinata Street. Based on the area of vulnerability level in Keteguhan Village, the safe category has an area of up to 137,451 Ha with a percentage of 44.6%, the non-prone category has an area of up to 95,5116 Ha with a percentage of 30.01%, the vulnerable category has an area of up to 62.4922 Ha with a percentage of 20.27% and the very vulnerable category has area up to 15.7767 Ha with a percentage of 5.12%.
Affine control systems under equal time and analytic feedback laws applied to edge quantum computing

We propose simple feedback control systems that work as quantum computing apparatuses applied to industrial terminal edge. The important point of quantum calculation is to keep quantum wave as superposition states. So far, the authors have proposed quantum computing by measuring the motion trajectory of macroscopic mass points. The purpose is, for example, to equip the microcomputer of the terminal of the vehicle with an unnecessary quantum computer of a large-scale device. However, it is necessary to search for a system that is easier to use than mass motion. In this paper, we show that an affine system becomes a quantum system if appropriate feedback is input, and that this is applied to quantum computation. One of the authors has developed optimal quantum mechanical feedback for nonlinear control systems. This method is applied to a time invariant linear affine control system with quadratic costs selected for concise explanation. As a result, systems that follow thermal phenomenology can be treated as quantum systems. Replace qubit and control apparatus that drives the qubit state in the current quantum computer with a fluid box and fluid temperature feedback loop. This gives a new quantum computer system without peripherals to keep, for example, cryogenic temperature.
Ashes to ashes, dust to dust: property rights in body parts

The article reviews the law on whether property rights may arise in relation to a dead body, including bodily products and genetic material.
Tighter monogamy relations in multi-qubit systems

In this paper, we present some monogamy relations of multiqubit quantum entanglement in terms of the $$\beta $$ th power of concurrence, entanglement of formation and convex-roof extended negativity. These monogamy relations are proved to be tighter than the existing ones, together with detailed examples showing the tightness.
Implementation of Speech Recognition Based Eye Vision Test

In today’s world, many underdeveloped countries often neglect eye care due to lack of awareness. Our idea describes a speech recognition-based eye test which is capable of performing the entire Snellen eye test on its own and estimates one's visual acuity. The test uses a few random letters like A, E, I, R, and L with the same 6 possible text sizes for each of these letters. The user speaks his/her guess into the microphone. The speech recognition portion uses energy thresholding. The system will then determine the next step based on whether the user guessed the displayed letter correctly or not. If the user guesses enough correctly, the text size will continue getting smaller and If the user guesses too many letters incorrectly, the system will display the result corresponding to the current text size. The thresholds for amount guessed and amount guessed correctly are set in the code. The software used for this Project is Python for Raspberry Pi
Bit Security Estimation Using Various Information-Theoretic Measures

In this paper, we propose various quantitative information-theoretic bit security reduction measures that correlate the statistical difference between two probability distributions with the security level gap for two cryptographic schemes. We derive tighter relations between information-theoretic measures for quantifying the precision and guarantee the security level of the cryptographic scheme implemented over a precision-restricted environment. Further, the generalized versions of previous security reductions are devised by relaxing the constraints on the upper bounds of the information-theoretic measures. This makes it possible to estimate bit security more reliable and improves the security level. We also estimate the effects on the security level when the κ-bit secure original scheme is implemented on a p-bit precision system. In previous studies, p was fixed as κ/2; however, the proposed schemes are generalized such that the security level κ and precision p can vary independently. This results in a significant difference. Moreover, previous results cannot provide the exact lower bound of the security level for p ≠ κ2. However, the proposed results can provide the exact lower bound of the estimation value of the security level as long as the precision p satisfies certain conditions. We provide diverse types of security reduction formulas for the six types of information-theoretic measures. The proposed schemes can provide information-theoretic guidelines regarding the difference between the security levels of two identical cryptographic schemes when extracting randomness from two different probability distributions. In particular, the proposed schemes can be used to quantitatively estimate the effect of the statistical difference between the ideal and real distributions on the security level.
Polynomial Filtering Algorithm Applied to Navigation Data Processing under Quadratic Nonlinearities in System and Measurement Equations. Part 1. Description and Comparison with Kalman Type Algorithms

The paper considers the filtering problems solved in navigation data processing under quadratic nonlinearities both in system and measurement equations. A Kalman type recursive algorithm is proposed, where the predicted estimate and gain at each step are calculated based on the assumption on the Gaussian posterior proba-bility density function of the estimated vector at the previous step and minimization of estimation error covariance matrix using a linear procedure with respect to the current measurement. The similarities between this algorithm and other Kalman type algorithms such as extended and secondorder Kalman filters are discussed. The procedure for estimating the performance and comparing the algorithms is presented.
An Investigation into Self Perception of Secondary Students in Terms of Academic Self Handicapping

Self-perception plays a significant role in the adjustment and academic outcomes of the students. The present study attempts to find out a relationship between self-perception and academic self-handicapping. The result of the study shows that a negative relationship between the both variables. School as well as parents are responsible for making self-perception. Through this investigation, it is proved that secondary students have proper self-perception. But it is not possible in the entire school system of India. So, different techniques of behaviour management must be considered during framing of curriculum. Different programme for teachers as well as parents’ should be organised for better understanding of the concept.
Improving the structure and processes of strategic management and planning in the country's technical, vocational and skill education system

Today, learning programs with the aim of providing educational opportunities for trainees to acquire the competencies to understand and improve their professional status are seriously considered.This research aimed at improving the structure and processes of management and strategic planning of skills and competencies. The research method based on the grounded theory of data processing and its society: stakeholders of technical and vocational education, educators, students, managers and industry owners. Based on the theoretical foundations and literature review of the research and using the Atlas software, the interviews and resources of the coded technical and vocational education subsystem, the main statements and categories identified. The validity of the tools and the reliability of the interviews are inherent in the method of agreement. Finally, the following strategies suggested: three for skill as quality of learned skills, productivity and flexibility; two for Knowledge strategies: to create a national framework and trustee of professional competence in accordance with international standards; three Values strategies for creating cultural reform mechanisms, creating employment and independence mechanisms for the organization of the system of technical and vocational education along with general, secondary and higher education.
Statistical Evaluation of Video Summarization Models from an Empirical Perspective

Video summarization is the process of creating a shortened version of a longer video while retaining its essential content and meaning.It entails automatically identifying the most important parts of the video and selecting the relevant frames, shots, or scenes that best represent the original video's content.Video summarization entails complex image signal analysis and processing to extract the most important frames or shots from a video while discarding redundant or less informative ones.Several stages of analysis and processing are typically involved in the process, which may include video segmentation, feature extraction, frame selection, classification, and quality assessment.A variety of algorithms and system models are available for this task.Classification architectures such as convolutional neural networks, recurrent neural networks, and others are used to categorize video frames as redundant or non-redundant.This article provides a categorization and analysis of video summarization methodologies, with a focus on methods from the real-time video summarizing (RVS) domain.The current study will aid in laying the groundwork for future research and investigating potential research avenues by combining key research findings and data for quick reference.Video summarization has been shown to be useful in a variety of real-world contexts in smart cities, such as detecting anomalies in a video surveillance system.To address this issue, research studies can be conducted to evaluate and compare different video summarization algorithms in terms of their effectiveness, efficiency, and suitability for various applications.These studies can use benchmark datasets and standardized evaluation metrics to provide objective and quantitative comparisons of different algorithms.Based on the findings of these studies, researchers and multimedia system designers can make informed decisions about which algorithmic combination will work best for their application.
COVID-19 and Politics

In this project, in this research used the county of Harris and Colorado in Texas, California, and Nevada as examples to investigate the relationship between COVID-19 and the politics of the United States; specifically, the difference in the coronavirus statistics among the counties across the country with varying preferences of the two main political partiesthe Republican Party and the Democratic Party.This paper referenced four databases which are US presidential election county level data, Covid-19 county level data from May 2020 to March 2021, US population data, and county level US latitude and longitude data.In this essay used these data develop a shiny app which contains Country Polarization Map, State Polarization Graph, County Polarization Map, US Covid-19 Death Rate and Confirmed Rate Graph, State Covid-19 Death Rate and Confirmed Rate Graph, County Covid-19 Death Rate and Confirmed Rate Graph, and State Covid-19 Death Rate and Confirmed Rate Map.In this research used these charts and maps to do some analysis in conjunction with some local policies.The difference in political tendency had little effect on the prevent spread of coronavirus at two counties in Texas, Harris and Colorado.In California and Nevada, Democratic counties in those two states had higher confirmation rates and higher mortality rates than Republican counties.