Reviewerly/exHarmony huggingface dataset:
REVIEW OF GEOCHEMICAL, ISOTOPIC AND FLUID INCLUSIONS STUDIES IN RAMAND REGION (QAZVIN PROVINCE)

Ramand copper deposit is an example of vein-bearing deposits with volcanic host located in the Urumieh-Dokhtar zone. The deposit host is an Eocene volcanic sequence and the main host’s rock is the rhyolite mineral. The main minerals are chalcopyrite, pyrite, covellite and natural gold; and the tailings minerals include quartz, calcite and sericite. The average grade of gold in silica veins is 133.5 ppb, the average grade of copper is about 3.5% and the average grade of molybdenum is 135 ppm. Quartz-sulfide hydrothermal veins contain biphasic fluid-rich fluid inclusions and monophasic fluid-rich fluid inclusions. The homogenization temperature ranged from 73 to 307 ° C with an average of 141 ° C and in all samples, homogenization was carried out through the liquid phase and salinity variations ranged from 1.75 to 4.74 with an average of 3.65 wt% NaCl equivalent. Quartz and calcite oxygen isotope values range between 4.4 to 9.4 per thousand. Isotopic data indicate that the ore-generating fluids in the Ramand ore deposit have relatively low salinity and atmospheric-magmatic origin. According to this study, Ramand’s mineralization range is the result of hydrothermal activity in the area where mineralization with simple mineralogical characteristics has occurred in siliceous veins and sub-veins
크로아티아의 한국어교육 현황 및 발전 방안 -자그레브 대학교와 자그레브 세종학당을 중심으로-

As this study is the basic research to investigate the present condition of Korean language and the search for development direction, it concretely examines the present condition of Korean language education in Croatia and aims to discuss the development direction by understanding the task. For the research, based on the subject of students of Korean language at College of Liberal Arts, Zagreb University and students at King Sejong Institute, a survey was conducted and an interview with faculties at King Sejong Institute was progressed. By arranging the surveyed contents, the present condition and characteristic of Korean language, in particular, in Zagreb, Croatia were suggested. Through the result of the investigation, 5 tasks were required to be solved; 1) there is a limitation that the region is limited to Zagreb, and it is difficult to create the educational environment from local high educational institute by itself; 2) there are only basic level learners in Zagreb, 3) lack of various contents to approach to Korea culture and Korean language; 4) lack of mutual interaction between professor and lecturer and 5) the need of the development of sustainable education course. This study is meaningful as it investigates the Korean language education in Croatia and suggests the concrete contents. However, there is a limitation in that the problem and the development direction are too broad, and the specific location is confined. (University of Zagreb)
Scheduling and Monitoring of Internally Structured Services in Cloud Federations

Today there is a lot of demand of cloud computing in the IT industry. Cloud infrastructure is also in very much need as it provides cloud federations to cope with peaks in demand of resources and to make for service provide large scale service administration is easier. It provides professionals to overcome cloud administration problem. Here three ongoing work on three managements is discussed these are requirement services coordination and surveillance. Provider of services control how each services will be provided to the user and pushed into cloud federation. These service across national borders are used and also in competition with the other providers. A similar study in the project named RESERVOIR is suggested here. A model which described cloud federation scheduling that complies with the requirement limits positioning and minimize the possibility of service level arrangement violations. In this paper we have heuristic also that support the trend identify the candidate that is required for the virtual machines for refuges.
Supporting open data: the key role of data managers

&amp;lt;p&amp;gt;Open data is not a new concept. Over sixty years ago in 1959, knowledge sharing was at the heart of the Antarctic Treaty which included in article III 1c the statement: &amp;amp;#8220;scientific observations and results from Antarctica shall be exchanged and made&amp;amp;#160;freely&amp;amp;#160;available&amp;amp;#8221;.&amp;amp;#160;&amp;amp;#8203;At a similar time, the World Data Centre (WDC) system was created to manage and distribute the data collected from the International Geophysical Year (1957-1958) led by the International Council of Science (ICSU) building the foundations of today&amp;amp;#8217;s research data management practices.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;What about now? The WDC system still exists through the World Data System (WDS). Open data has been endorsed by a majority of funders and stakeholders. Technology has dramatically evolved. And the profession of data manager/curator has emerged. Utilising their professional expertise means that their role is far wider than the long-term curation and publication of data sets.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Data managers are involved in all stages of the data life cycle: from data management planning, data accessioning to data publication and re-use. They implement open data policies; help write data management plans and provide advice on how to manage data during, and beyond the life of, a science project. In liaison with software developers as well as scientists, they are developing new strategies to publish data either via data catalogues, via more sophisticated map-based viewer services or in machine-readable form via APIs. Often, they bring the expertise of the field they are working in to better assist scientists satisfy Findable, Accessible, Interoperable and Re-usable (FAIR) principles. Recent years have seen the development of a large community of experts that are essential to share, discuss and set new standards and procedures. The data are published to be re-used, and data managers are key to promoting high-quality datasets and participation in large data compilations.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To date, there is no magical formula for FAIR data. The Research Data Alliance is a great platform allowing data managers and researchers to work together, develop and adopt infrastructure that promotes data-sharing and data-driven research. However, the challenge to properly describe each data set remains. Today, scientists are expecting more and more from their data publication or data requests: they want interactive maps, they want more complex data systems, they want to query data, combine data from different sources and publish them rapidly. &amp;amp;#160;By developing new procedures and standards, and looking at new technologies, data managers help set the foundations to data science.&amp;lt;/p&amp;gt;
Network Design To Improve Network Quality At Pt. Batam Teknologi Gas

Network security is currently a very important issue and continues to grow. Development of computer technology, besides causing many benefits also have many bad side. One of them is an attack on computer systems connected to the Internet. As a result of the attack, many computer systems or networks disrupted even be damaged. Given these problems, then as soon as possible we must immediately secure computer networks from attack. Untangle is a Linux distribution that is used as a regulator of tissue. Untangle is an open source first terintegerasi to deal with spam, spyware, viruses, adware, web-filtering and report. Based on Debian Linux with supporting JAVA applications. Untangle Server delivers the ease in securing, controlling and monitoring of computer networks. Ease is a technology that is needed to secure from threats such as viruses and spyware, web access and control over the availability of the report of the Untangle Server to perform a system analysis. Everything is packaged within an interface / GUI (Graphical User Interface). Untangle is very handy and has a full feature in managing and securing the network from LAN to WAN scale.
Anomaly Detection for Industrial Control Systems Based on Neural Networks with One-Class Objective Function

The advent of Internet of Things (IoT) technologies and the prevalence of networked sensors and actuators in many industrial control systems (ICS) have led to the exposure of critical infrastructure in our society to malicious activities and cyber threats. ICS are used to monitor and control critical infrastructure in our society that provide essential services such as electricity, water supply, among others. Programmable logic controllers (PLCs) are embedded devices that automate the processes of industrial control systems. PLCs which serve as the heart of ICS are vulnerable to attacks just like other embedder devices. Because PLCs are widely used to control the physical processes of ICS, attacks against PLCs can cause irreparable damages to enterprises and even loss of lives. However, due to the unique and proprietary architecture of PLCs, it is not easy to apply traditional tools and techniques for PLC protection. In this work, we present a novel unsupervised learning approach for anomaly detection in ICS based on neural networks with one class objective function. This technique combines the abilities of neural networks to learn complex relationships with a one class objective function for separating normal conditions from anomalous operations. We evaluated our model on a recent dataset collected from a real-world ICS: the Secure Water Treatment (SWaT) dataset. The performance of our proposed technique is compared with previous works, and it shows improvements in terms of scalability and attack detection capability, proving that the proposed technique is suitable for use in real ICS scenario.
SMART HOSPITALS USING SENSOR TECHNOLOGY AND INTERNET OF THINGS (IoT)

The advancement and growth of IoT which is referred to as the Internet of Things. The Internet of Things isinfluencing us in our day-to-day activities. In one form or another, the IoT control our life from the way wereact to the way we behave. In IoT where the internet is connected via our computer, which is implanted in ourdaily using objects, which enables them to send and receive data. Some common examples of IoT are the Airconditioner which can be operated and accessed using our smartphones. In smart cars, it is used in providing theshortest route. Our smartwatches which are used to control our daily activities. All these devices use IoT. IoT isa giant network with connects devices, these devices gather and share data about how they are used, and theenvironment in which they are operated. The activities of IoTs are done through sensors, and sensor implanteddevices. The use of the Internet of things which makes data handling manageable and time consumable. In thispaper with the use of the IoT system in the Healthcare Sector by which electrical appliances like fans, lights aremonitored. By the IoT sensors, one can easily access these devices with our smartphone being in any place. It isimportant in places like hospitals to use the Internet of Things that can easily be handled and record things. TheMQ Telemetry Transport is a messaging protocol used in IoT for giving messages and communication between2 devices. This MQTT will help in the administration of electrical devices in the hospital.
ResearchGuides: How to Search: Library Books

Instructions for searching for different types of documents in the library databases Search for books in the SBVC library
Chain Drill Technique in Teaching Speaking

This research aims to find out the influence of Chain Drill Technique in teaching speaking to the tenth grade students at SMAN 1 Poso, particularly in describing an object. This research is quantitative in nature and the design was pre-experimental. The researcher applied pre-test and post-test in collecting the data. The result of data analysis shows chain drill technique in teaching speaking can increase students speaking achievement in describing an object. Keywords: chain drill, technique, speaking achievement
연설자의 공신력 각인 발화가 설득 효과에 미치는 영향

The purpose of this study is to investigate how the speaker''s credibility-imprinting utterance affects the whole process of persuasion, and based on the results, suggest the contents of credibility-oriented persuasion education. To accomplish this purpose, the concept of the “speaker''s credibility-imprinting-utterance” was established, and its role in the entire persuasion process including acquisition of credibility was examined through experimental treatment and statistical analysis centered on conditional process analysis. As a result, three main findings were drawn. First, the direct effect of “the speaker''s credibility-imprinting-utterance → post-credibility” was .31, the direct effect of “prior credibility → post-credibility” was .17, and both effects were statistically significant. Second, the correlation coefficient between message sidedness and post-credibility was -.00, therefore the correlation of message sidedness and post-credibility was not significant statistically. Third, post-credibility showed a direct effect of .81 only on the attitude toward speech, and did not have a direct effect on the attitude and behavioral intention of the speech subject. The causes of the research results were analyzed, and the contents of persuasion education were suggested.
국내외 극지 교육 프로그램 분석

This study analyzed the learning characteristics of polar education programs operated by polar research institutes in domestic and foreign countries and aims to provide directions for improving domestic polar education programs. Using the database provided by the Korea Polar Research Institute (KOPRI), 120 programs from 16 research institutes in 9nine countries were selected. Each program was analyzed based on educational level, instructor, education period, learning place, learning environment, learning content, and learning method. Significant differences in domestic and foreign programs in terms of instructors, operational methods, educational places, and learning methods were found. Based on these findings, we discuss the direction for improving domestic polar education by expanding the base of polar education, diversifying the learning methods, and systematizing polar education using examples of actual programs. Based on the scientific, social, economic, and cultural values and importance of the polar region, this study presents specific directions to further spread and sustain polar education and culture in Korea.
Children with Lack of Mental and Intellectual Development and the Importance of Didactics in Their Teaching

This article discusses the characteristics of mentally and intellectually retarded children and what their parents and teachers need to know, cognitive impairments, changes and their causes. Important issues such as education and upbringing of children with developmental disabilities, problems in preparing them for social life and how to use their opportunities in education, the correction of deficiencies, the importance of didactics in solving problems and new methods along with their advantages and procedures are highlighted. This new method can be used to correct various levels of deficiencies in special schools and specialized preschools, as well as to effectively conduct classes.nn
COST EFFECTIVE LOAD FORECASTING LEARNING CUSTOMER BEHAVIOUR

Cloud computing is speedily growing and lots of a lot of cloud suppliers area unit rising. value potency and resource value maximization become 2 major issues of cloud suppliers to stay competitive whereas creating profit. The profit maximization drawback in united cloud environments collaborate to extend the degree of multiplexing has been investigated. define novel economics-inspired resource allocation mechanisms to tackle Existing abstractions for in-memory storage on clusters, like distributed shared memory, key worth stores, databases, and transverse flute, provide AN interface supported fine-grained updates to mutable state (e.g., cells in an exceedingly table). it's fine-tuned to predict the load of its cluster. the ultimate load of the entire grid is obtained by summing the hundreds of every cluster. The projected methodology for load prediction in sensible Grid has 2 major benefits. 1) Learning client behaviors not solely improves the prediction accuracy however conjointly incorporates a low procedure value. 2) SCCRF will effectively model the load prediction drawback of 1 client, and at the same time choose key options to spot its energy consumption pattern.
Optimal Maximal Leakage-Distortion Tradeoff

Most methods for publishing data with privacy guarantees introduce randomness into datasets which reduces the utility of the published data. In this paper, we study the privacy-utility tradeoff by taking maximal leakage as the privacy measure and the expected Hamming distortion as the utility measure. We study three different but related problems. First, we assume that the data-generating distribution (i.e., the prior) is known, and we find the optimal privacy mechanism that achieves the smallest distortion subject to a constraint on maximal leakage. Then, we assume that the prior belongs to some set of distributions, and we formulate a min-max problem for finding the smallest distortion achievable for the worst-case prior in the set, subject to a maximal leakage constraint. Lastly, we define a partial order on privacy mechanisms based on the largest distortion they generate. Our results show that when the prior distribution is known, the optimal privacy mechanism fully discloses symbols with the largest prior probabilities, and suppresses symbols with the smallest prior probabilities. Furthermore, we show that sets of priors that contain more uniform distributions lead to larger distortion, while privacy mechanisms that distribute the privacy budget more uniformly over the symbols create smaller worst-case distortion.
Statistical Inferences and Fundamental Approaches

There are various problems based on statistical inferences, such as, parameter estimation, detection, classification, prediction, pattern recognition and others. There are also various techniques to derive some statistical inferences. The article first reviews various problems based on statistical inferences with their differences. At the next level, the article compares the fundamental approaches towards the solutions of these problems. In the third part of the article, it explains the way various techniques for statistical may differ.
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LibGuides: Research Data Management: Data Storage at UCL

A guide to managing outputs of research projects and handling issues such as copyright and data protection laws
LibGuides: Online Databases and Electronic Resources: Current Events

Find databases and other resources for researching that school project. Databases & Electronic Resources
Online MCQ Application For Exam

It is a good source of interactivities among students and between the teacher and students. It is done to improve student‘s comprehension levels and learning motivation.  As one of their tools, online test tools are quite effective. However, to use the online test tool, a teacher is generally required a great deal of labor.To solve these problems, we have developed a Web-based online test system that can create quizzes competitively and collaboratively by students to reduce the load required for a teacher and promote interactions among students and between the teacher and students.
DEVELOPMENT LEARNING MEDIA OF WRITING JAVA ALPHABET MOBILE BASED USING CONSTRUCT 2

Learning Media Of Writing Java Alphabet is an effective learning tool. Learning Media presents a menu of materials and exercises or quizzes that are useful for students in practicing their abilities and understanding of Javanese Alphabet. The development model used in this research uses the Waterfall method in which the researcher analyzes the needs, designs the system, makes the system, tests and evaluates the program that has been made. This application uses Construct 2. The quality of the learning media developed is accounted for by analyzing the questionnaire data. The data is converted to a standard score of one hundred. Learning media that are declared sufficient if the final average score is at least 70. So, if the learning media gets a final average score of less than 70 then it is declared insufficient. Based on the results of the evaluation of material experts, the results of the assessment on the aspect of concept suitability have an average score of 100 and are in the good category. The material aspect has an average score of 84 and is in the good category. The learning aspect has an average score of 88 and is in the good category. While the results of the evaluation of media experts, the results of the assessment on the display aspect had an average score of 82 which was in the good category. The programming aspect has an average score of 80, including the good category. Meanwhile, the learning aspect has an average score of 84, which is in the good category. Based on the analysis of the questionnaire, it can be concluded that the learning media developed is feasible and good to use as an alternative to Javanese Alphabet learning media at SD Al-Husna IFDS Madiun.
LibGuides: Classroom Management: Websites

This guide is for the subject of Classroom Management. It contains resources available in the NCU Library.
A Comparative Study on the Perception of the Job Seeking College Degree Candidates and the Librarians Concerning Library Specialized Services

This research has investigated the perceptions of subject specialization services and the opinions of students majoring in library and information science preparing for librarianship, librarians operating in the field, and library directors on the status and ways of nurturing subject specialization for librarians, among others. To this end, based on the results of previous research and the survey questionnaire analysis, we have presented a policy to train subject librarians. First, we have proposed a plan for systematizing the current educational system within the department of library and information science. We have also suggested ways to secure subject expertise based on curriculum management, minor programs, multi-major programs, and interdisciplinary major programs based on the standard curriculum model. Second, we have presented a subject specialization educational system for field librarians, and further suggested details for the development of an educational program that can help build subject expertise and the operation of educational methods as well as the personnel in charge of implementing the educational programs. Third, we have proposed institutionalization of the qualifications of the subject librarian where the qualification requirements have been organized considering academic background, major program, library career, and career experience in the subject specialization service, further suggesting the implementation and maintenance of the system.