Reviewerly/exHarmony huggingface dataset:
The native gold extracted in the Amur Region for 150 years

Data on gold production history and typomorphic features of native gold from the Amur province are provided. It is shown that about 1,116 t of primarily placer gold was extracted for 150 years, with primary gold accounting for 23,8 %. Placer gold sample distribution is unimodal with a maximum ranging within 850–925 ‰. Mercury prevails in microimpurities, its content in some clusters reaches the first percentage points. In terms of composition impurities, placer gold corresponds to gold from fields and occurences of gold-quartz and gold-sulfide-quartz formations. Low-fineness gold, (799–700 ‰) less common in placers, resulted from destruction of gold-silver unit sources while that of average fineness (800–900 ‰) was a result of the same process related to gold-polymetallic and gold-sulfide units. Gold-copper-molybdenum porphyry deposits do not form placers. The prospects of primary and placer gold production in the Amur region are defined.
SOME PROBLEMS OF METCOMPETENCE FORMATION OF UNIVERSITY STUDENTS

The article describes the theoretical aspects and methodological principles of the formation of meta-subjects of University students. The philosophical meaning of the concept of «metacompetence» is analyzed as «self-appeal», «self-knowledge». And psycho-educational content is treated as «development activity», «creativity», «knowledge enhancement and skills», «developing skills». The article notes that the main categories of the concept of «metacompetence» are: «knowledge about your education», «knowledge about your field of knowledge», «meta-languages», «metaznanie». When forming students ' metacompetence, they are guided by the principles of cognition and activity, the unity of theory and methodology. The paper reports on conducting experimental work on the formation of students ' meta-subjects. Test Maslow on the theory of «Self-Expression» identified quantitative/percentages of high, medium, low levels for criteria values, creativity, communication(communication), cognitive needs, synergy, self-perception.
Acute lymphoblast leukemia and multiple myeloma classification using neural network and multilevel Otsu thresholding

Acute Lymphoblast leukemia and multiple Myeloma is a kind of blood cancer that affects the white blood cells. Early diagnosis is very important to prevent the progression of cancer. The main objective of this research paper is to classify the blood cancer from the microscopic image of the patient’s blood smear. Microscopic blood image analysis results in the early diagnosis of leukemia and myeloma with lower cost. It is less costly to use image for diagnosis, compare to the equipment and methods used in the field of Hematology. The aim of this study is to identify, whether the cell belong to leukemia class or myeloma class. For this 30 microscopic images from both classes is used to train the Convolution Neural Network model and Multi Otsu algorithm to extract the cell region of interest. A degree of accuracy 97.72% gives high performance of the proposed method.
Best 24 Inch Monitor

One of the many reasons that a 24 inch monitor has become a preferred choice of many people for games and general computing is the fact that it is easy ...
A Design and Implement of Portable Epidemic Detection Device based on STM32

The equipment is mainly designed for epidemic detection.It is an intelligent detection box device.It collects and analyzes data through cameras and sensors.It uses LBP algorithm and LAB color model to enable the detection box to identify the temperature and mask of the entered personnel.Wearing conditions, preliminary comparison of epidemic prevention standards for passers-by, whether to wear masks, whether the body temperature exceeds the standard, and at the same time enter the identity of new personnel and store them in the database, and detect the incoming personnel through face recognition to find out in time Those who are not entered shall take corresponding measures in time to improve the efficiency of epidemic prevention and control.The device does not need to be held in hand, can be fixed anywhere, can effectively avoid cross-infection, and supports self-set temperature alarm thresholds, support voice broadcast reminders, fast and accurate non-contact temperature measurement.
THE ROLE AND SIGNIFICANCE OF ART TECHNOLOGIES IN THE MODERN EDUCATIONAL SPACE

The article defines that in the modern era of Informatization and digitalization, the system of pedagogical education should pay special attention to the continuity of learning and development, creative thinking, and the ability to find non-standard ways to solve problems. It is considered that for the development of productively organized educational activities and functional literacy of preschool children, along with traditional didactic methods, new pedagogical technologies are needed. In this study, the authors present art technologies aimed at increasing the possibilities of forming and developing the emotional state and communication skills of preschool children.
The philosophical foundations of scientific visualization

Scientific visualization is analyzed from the perspective of the philosophy of science. In this context, theories by Agustin A. Araya and Viktor A. Kanke are examined. Araya’s scientific visualization theory presents a historical and ontological conception. In his search for the foundations of scientific visualization, based on Edmund Husserl’s phenomenological ideas, Araya stresses the importance of the development of mathematics from Euclidean geometry and its use by G. Galileo in physics to the analytical geometry by R. Descartes further developed in computer graphics. The phenomenon of visualization itself is linked to the status of ontology as a study of reality. To some extent, ontology is supplemented by praxeology which considers the practical aspects of human activity. Kanke examines visualization from the point of conceptual transduction theory. It is characterized by the principles of theoretic representation, the diversity of theoretic representations, the relevance of mature knowledge, and an understanding of knowledge management as a process carried out via the scientific methods. It is found that scientific visualization develops successfully when it accounts for the achievements of not just mathematics and computer science but all modern sciences. The conceptual content of theories and their dynamics are the aspects subjected to visualization. Moreover, the visualization itself exists in organic unity not only with ontology but with other notions of the theory as well.
SOME PROBLEMS OF FORMATION THE PROFESSIONAL COMPETENCE OF FUTURE TEACHERS-PSYCHOLOGISTS

This article is devoted to the formation of professional competence in future teachers-psychologists. The problem of training a competent specialist teacher-psychologist is relevant in modern society. The success of the work of the teacher-psychologist depends, first of all, on the high level of development of his personality, his ability to empathize with others, through the ability to productive behavior in difficult situations. The article also provides the opinion of the scientist V.I.Dolgova, which considers emotional stability as a key competence of a teacher-psychologist, since this competence manifests itself in all areas of professional activity of a future teacher-psychologist and is an important component in the development of their professional competence. It is also said that the profession of a teacher-psychologist is accompanied by constant psycho-emotional overload, emotional tension, emotional burnout. This requires the regulation by the teacher-psychologist of his emotional state, the presence of motivation and interest in the professional activities of the psychological and pedagogical direction.
A Survey on Implementation of Word-Count with Map Reduce Programming Oriented Model Using Hadoop Framework

In today’s era, data generation has been increasing continuously due to development of various technologies as well as increasing social networks online and cloud computing, it has been a big task for storing, processing, and analysing a huge amount of data. Hadoop and HDFS which was given by Apache is commonly used for the purpose of Big Data storage and management. Processing these large volume of data on the distributed networks consisting of hardware clusters forming Clouds system requires a model that provide computation such as Hadoop Map Reduce. In this paper, we explain the concept of big data and Map Reduce programming model along with its function and implementation of word-count with Map Reduce in distributed computing using Hadoop Framework.
UNIQA Enterprise / Ain Atiqah Ahmad Fauzi ... [et al.]

Shoe is one of the most must have item for every individual as it does not only protect the feet when walking outside, but it also stands out to be a fashionable complementary item with a person’s whole outfit. As to this reason, our company decides to create a footwear product with unique characteristics specifically designed for women of all background. The product that we create is a replaceable sole shoe. Unlike any other shoe with a fixed sole, this shoe is designed to fit into any occasions. Be it either for formal wear, an evening party, a leisure walks at the park or going out for a jog, this shoe can fit all purposes with its replaceable sole characteristics. The shoe was designed with an upper shoe part that are both high durable and still fashionable. The sole of the shoe comes with three replaceable soles- the high heels soles, the flat soles, and the sport soles. These soles can be replaced whenever the wearer desire. It is easy usage and storage are the main attraction of this shoe as no other shoe can serve three different purposes at once. It is said to have an easy storage because it does not consume as much space as having three different shoes at once. Business will start its operation on 1st November 2020. The business will be operated by five shareholders that had agreed to operate the business together under the signed terms and regulations. The five shareholders will be positioned as the Chief Executive Manager, Administrative Manager, Operational Manager, Marketing Manager and Financial Manager. Each manager will have their own line of employees to further aid them in operating each sector smoothly.
Interactive Assignments for Teaching Structured Neural NLP

We present a set of assignments for a graduatelevel NLP course.Assignments are designed to be interactive, easily gradable, and to give students hands-on experience with several key types of structure (sequences, tags, parse trees, and logical forms), modern neural architectures (LSTMs and Transformers), inference algorithms (dynamic programs and approximate search) and training methods (full and weak supervision).We designed assignments to build incrementally both within each assignment and across assignments, with the goal of enabling students to undertake graduate-level research in NLP by the end of the course.
Solar Power Forecasting for One Day by Using LSTM Method via Iot

In generally the weather fоreсаsting system was not done the LSTM neural networks for sоlаr роwer fоreсаsting. The neural networks for short-duration of photovoltaic solar power forecasting had been matured and got the result. In that single-step and multi-step photovoltaic, forecasting was presented and their data were analyzed deeply. The new advanced neural network algorithm where lead to the acceptable values in data accuracy in the cloudy days. Distributed energy resources (DER) caused substantial impact on the operation of incorporate solar power generation plant and the dispatched unit. The multi- step[7] solar power forecasting of PV power remains an opened challenged. Moreover, the forecasting of the LSTM model could've successfully captured the intra-day generated power on different weather conditions. In this, all the weather data were sensed by the specified sensors and transfers data collected from the PV generating system were stored in the cloud through the IoT platform. The stored data in the cloud would be used for future PV-related researched worked or projects. All the data in the cloud would be got a report in excel format instantly.
Classical physics–information analogies

The chapter deals with analogies between physical and information models. Specific approaches are shown on the example of information analogies with electrical or magnetic circuits. Based on these analogies, parameters such as information impedance and information capacitance are defined. At the end of the chapter, the given approach is also extended to mem-elements.
A Database-Driven Menu System

So we’ve all seen drop-down menus on great sites. They’re a timeless feature – they’ve been used for decades and will no doubt be used for many more. In this chapter, we’ll be using the knowledge presented in an earlier chapter on JavaScript machinations about how HTML, CSS, DOM, and JavaScript work together to provide some pretty amazing functionality. Employ the Perl scripting language and the MySQL database and you’ve got the makings of a very powerful web page feature.
Decision support system for assessing the state of atmospheric air under inaccurate input data

The article deals with the design of a decision support system structure for assessing the state of atmospheric air under inaccurate input data. The methodologies of constructing information systems, their advantages and disadvantages when applying to the design of a decision support system are considered. The data streams are investigated and the corresponding diagram is proposed on the basis of them. The structure of the system as a whole is proposed, as well as the construction of a model base as the part of a complex system. Different questions related to functioning of the system are considered such as the organization of the data exchange, definition of conditions of applicability and verification of models, synchronization of work of various parts of the system.
Grounding Language in Visual and Conversational Contexts

Most language use is driven by specific communicative goals in interactive setups, where often visual perception goes hand in hand with language processing. I will discuss some recent projects by my research group related to modelling language generation in socially and visually grounded contexts, arguing that such models can help us to better understand the cognitive processes underpinning these abilities in humans and contribute to more human-like conversational agents.
Computer Aided Music Structure and Hierarchical Feature Analysis

With the rapid development of computer graphics and image technology and three-dimensional modeling, great progress has also been made in the field of three-dimensional digital sculpture art.Digital sculpture art is generated through computer-aided modeling, which overcomes the shortcomings of traditional manual sculpture art, which is low in production efficiency and difficult to modify the product, and is easy to save.This article is dedicated to the study of non-contact depth-of-field-based three-dimensional measurement methods to recover the three-dimensional shape from the focused image (depth from focus), which is characterized by using an ordinary microscope to shoot a series of images with different focus depths to calculate the three-dimensional object.Without increasing the hardware cost, the shape can obtain the approximate three-dimensional shape through the analysis and processing of the digital image, which has the advantages of simple hardware, non-contact and measurable sub-microscopic objects.According to the actual measurement requirements, the hardware frame part was designed, a complete prototype was assembled, and the software system for stepping motor control and image data acquisition was compiled.On the basis of comparing the current main computer-aided modeling methods, starting from the analysis of traditional hand-sculpted modeling methods, in view of the actual characteristics of conceptual design and artistic modeling design, a sculpture method modeling idea based on Polygon modeling is proposed, and specific details are given.The modeling steps and the evaluation method of reasonable wiring are verified by examples through the modeling realization process of folk crafts.Practical application has proved that the computer sculpture modeling method has strong practicability for the 3D software modeling concept of artistic design, can fully follow the designer's conception and design, and is easier to be understood and understood by the modeling designer for creative design.
Effect of Woolen Cloth to Maintain Temperature 39Â°C of Crystaloid Fluid Ringer Lactate at Room Temperature 18Â°C

Fluid resuscitation with 39áµ’C is one of the main therapies for hypovolemic (hemorrhagic) shock patients to prevent complications. In this time, we already have tools to keep the fluid warm, but not all health services have these tools.Â To find out the effectiveness of using woolen cloth against the temperature of Ringer Lactate 39Â°C crystalloid fluid at room temperature 18Â°C. This study used a pre-experimental method, with a static group comparison approach, with 4 Ringer Lactate liquid samples divided into 2 groups, namely groups using wool cloth and those not using woolen cloth. Data collected through observation sheets. Data analyzed using the Mann Whitney test. With this p value (0.00001) &lt;Î± (0.05), it can be concluded that there is a significant difference between the use of woolen cloth and those that do not use woolen cloth. The woolen cloth is effective to slow down the decrease in temperature of the crystalloid liquid Ringer Lactate 39áµ’C at room temperature 18áµ’C. The difference in temperature changes in the Ringer Lactate crystalloid fluid is influenced by several things including humidity, ambient temperature, and additional material used.
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension

Innovations in annotation methodology have been a catalyst for Reading Comprehension (RC) datasets and models. One recent trend to challenge current RC models is to involve a model in the annotation process: humans create questions adversarially, such that the model fails to answer them correctly. In this work we investigate this annotation methodology and apply it in three different settings, collecting a total of 36,000 samples with progressively stronger models in the annotation loop. This allows us to explore questions such as the reproducibility of the adversarial effect, transfer from data collected with varying model-in-the-loop strengths, and generalisation to data collected without a model. We find that training on adversarially collected samples leads to strong generalisation to non-adversarially collected datasets, yet with progressive performance deterioration with increasingly stronger models-in-the-loop. Furthermore, we find that stronger models can still learn from datasets collected with substantially weaker models-in-the-loop. When trained on data collected with a BiDAF model in the loop, RoBERTa achieves 39.9F1 on questions that it cannot answer when trained on SQuAD - only marginally lower than when trained on data collected using RoBERTa itself (41.0F1).
La Universidad y sus respuestas frente a la pandemia

The current University faces new challenges operated in society and caused by changes in the economy, in politics, in technological development. In the middle of this process of change, all social and economic orders, including Higher Education, were crossed by the crisis generated by the COVID-19 pandemic.A migration from face-to-face to virtual teaching is then proposed, to ensure the continuity of the education process. This process is not exempt from difficultes that affect all actors in the system.Therefore is important to analyze these changes, presenting strategies such as blended learning and flipped classroom.Finally, Universities take this difficult situation as an opportunity, and move towards to a real transformation.
Frame Detection with Deep Learning

Deep learning has become a way of solution for the realization of complex computations. As electronic communication starts to use more complex channels, the systems need to handle tough computations. For this reason, research on the use of deep learning in communication has increased recently. These researches aim to realize many applications used in communication with deep learning. Frame detection is one of the first things a receiver must handle and it may require a lot of hard computations. Deep learning-based frame detection can be an alternative approach. This study aims to build models that perform frame detection with deep learning. The proposed models provide the performance of correlation-based frame receivers commonly used for frame detection. The mean square root error of the prediction deviation is used as an evaluation metric to compare the proposed model to classic systems.
Family Values of Students of Pedagogical Specialties of Graduation Courses

An early work by Leon Batista Alberti, Books on the Family, is relevant to the concept of upbringing, the purpose of which is to open up to the child the opportunities that the civil society provides him with. Family values correlate each Personal Action with the actions of the “Other”. The family “We” is transformed into a public “We”. The vice and virtue of an individual, embodied in his concrete actions, create the life of the people. Family values form the needs of the individual, which have a cause and a way of satisfaction only in the material and spiritual community of families. Leon Batista Alberti’s pedagogical work, expanding the space of personal life, finds associations and a response in the works of domestic humanists and teachers. The survey involved 157 people. As a result of statistical processing of the survey data, a hierarchy of students’ family values was obtained. The data obtained make it possible to demonstrate the structural features of the system of humanistic values of future teachers. Some gender differences have been identified. The general tendencies in the hierarchy of family values of students who have undergone active practice in educational institutions are considered. Keywords: hierarchy of family values, pedagogical system, family education, family values, goal of education
UPAYA PENINGKATAN AKTIVITAS BELAJAR IPS DENGAN METODE DEMONSTRASI

Based on the pre-research results of the implementation of social studies learning (1) learning activities are still dominated by teachers so that students are less active in learning (2) the method used in social studies learning is the lecture method, where the information/concepts being studied are notified or presented by the method. lecture only; (3) in the learning process the teacher does not provide reinforcement in the form of providing motivation to students. The problem formulation in this study is Whether the use of demonstration methods can increase social studies learning activities.The purpose of this study was to improve social studies learning activities The results of the research on the social studies learning process using the demonstration method in class V SD Negeri 1 Gedung Air Bandar Lampung for the 2019/2020 academic year, were as follows: In cycle 1 teacher performance reached 67% and student activity reached 63%. In the second cycle, the teacher's performance reached 78% and student activity reached 71%. In the third cycle the teacher's performance reached 88% and student activity reached 92%.