Reviewerly/exHarmony huggingface dataset:
Stream Sediments of the Pestrinsk Silver-Bearing System (Northeastern Russia)

The composition, structure, and formation features of the exogenous anomalous geochemical fields (AGCFs) identified through stream sediments (SSs) are considered here within the Pestrinsk silver-bearing system and the Goltsovy silver-polymetallic deposit. The research was performed in the southern part of the Balygychan-Sugoy trough (northeastern Russia). The exogenous AGCFs of the main indicator elements of ores, formed in cryolithogenesis zone conditions, were studied. We used the results of multi-scale areal geochemical surveys of SSs. A survey of SSs at 1:200,000 scale was found to be effective at the stage of regional forecasting. Indeed, it is characterized by simplicity and the possibility of obtaining information operatively regarding the metallogeny of the area. It was found that at the local forecast stage, when prospecting for mineralization, the most effective was a survey of SSs at 1:50,000 scale. The AGCFs identified during this survey were distinguished by a richer component composition, higher contrast, and closer relationship with ores. During the lithochemical sampling of the watercourse heads, where alluvial sediments were found to be almost completely absent, a positive result was obtained by the bryolithochemical method, which is based on moss sampling together with a fine fraction of alluvium held by a moss cushion. The method enabled the sampling of watercourse heads and thus yielded information about the presence or absence of anomalous concentration fields of ore elements.
ICT in the Educational Process: Teachers’ Perceptions based on their Age and Years of Service

Contemporary education has been greatly influenced by the advancements of Information and Communication Technologies (ICTs).The provided ICT solutions enhance learning environments and offer teachers numerous opportunities.However, although ICT can enhance education quality, there are several factors that impact on the ICT adaptation into the educational process.This study explores the degree of ICT use in the teaching process.The purpose of this research paper is to investigate whether teachers' age and their years of service influence their perceptions of educational technology in Greek public schools.Three hundred and thirty-three teachers, who work in public schools of Western Macedonia, participated in the study.Results are expected to provide tangible insights to help both education community and academia.
The Professionalism of a Teacher- Educator: a Competency-Based Approach

The article actualizes the problem of the influence of socio-cultural ideas about changing the phenomenon of childhood on the training of professionals for education in General education organizations, taking into account the implementation of the competence approach. The purpose of the article is to reveal the specifics of professional training of teachers for the upbringing of modern children based on the competence approach. The methodology. The research is theoretical in nature and includes analysis, comparison, and generalization of domestic and foreign scientific and practical studies of the phenomenon of childhood in modern socio-culture as an object of professional pedagogical activity in the educational system. As a methodological basis of research was made by professional graphic and cultural approaches to represent the dependence of professional training of a teacher from the modern society needs in the education of children and youth, given the various and contradictory influences of modern culture.
Convolutional Neural Filtering for Intelligent Communications Signal Processing in Harsh Environments

Aiming at utilizing artificial neural networks to enhance intelligent filtering for interfered wireless communication signal in harsh environments, a new method named convolutional neural filtering is designed and presented in this paper. This method is based on model-driven deep learning princeple, by analyzing the theoretical connection between the filter model and the convolutional neural layer, it attempts to use one-dimensional convolution kernels to learn a matched or bandpass filter. Moreover, the model introduces a kernel-wise attention mechanism between different convolution kernels to selectively emphasize informative filters. The results show that in terms of interference and noise suppression for received wireless signal, the filtering method has highlighted dynamic adaptability to variation of signals and interference, and it also reveals that the performance is affected by the initialization parameters and the number of convolution kernels. Based on this method an embeddable filtering unit fully based on neural network is provided, which can be easily integrated into a deep learning network targeting such as wireless signal detection and recognition applications, avoiding complex preprocessing for end-to-end wireless signal learning.
Kaanbal: A Mobile Learning Platform Focused on Monitoring and Customization of Learning

For the new educational models, it is essential to include teaching strategies that allow students to customize their learning based on their competencies, skills, and preferences, as well as strategies that support individual monitoring of student learning. However, the implementation of these strategies in teaching is complex for professors, and it gets complicated, as the number of students in the class-room increases. In this work, the design and development of a mobile learning platform are presented, which provides the professor and student with multiple services for the learning monitoring and customization based on learning styles, context information, and mobile learning objects. Our platform is composed of three main components: (1) A mobile learning object generator system, (2) A learning object repository, and (3) A student-oriented mobile application. The in-tegration of these three components allows and facilitates the professor the im-plementation of various strategies for monitoring and customization of learning systematically. We carried out a usability assessment of the learning object gener-ator system through a field study with five research professors. According to the obtained results, the learning object generator system presents a good acceptance, satisfaction, and applicability from the professors' perspective.
THE USE OF AUTHENTIC MATERIAL IN TEACHING READING DESCRIPTIVE TEXT: REVIEW OF LITERATURE

Process of learning needs development time by time. Following situation of teaching, it is important for educator to find materials which is understandable and enjoyable. One of materials that effective to be used is authentic material. The authentic materials are not designed for language learning, it is able to use as a tool to teach students and give them real experience in the classroom. Moreover, this paper aims to review research about authentic materials that is used in teaching and learning reading, especially (descriptive text). In order to get the goal, this paper reviews some researches from experts relating to the use of authentic materials in learning to read descriptive text. The author used around 40 articles which discussed about teaching English skills especially reading, authentic material and descriptive text. The author collected the data by surfing the international and national journal to be reviewed. The result shows that most of the studies recommend the educators use authentic materials to be applied in the classroom.
ENVIRONMENTAL GEOCHEMISTRY AND ASSESSMENT OF POLLUTION BY VANADIUM IN TOP SOIL OF KIRKUK, NORTHERN IRAQ

The vanadium geochemistry was estimated in the topsoil of Kirkuk, northern Iraq, and its potential sources are forecasted by using multivariate statistical analysis as useful tools in this field, in addition to assessing soil pollution with vanadium by using individual indices such as enrichment factor, geo-accumulation index (Igeo) and contamination factor (CF). Eighteen topsoil samples were collected with a depth ranges 0–20cm, and analyzed by using the inductively coupled plasma-mass spectrometer technique (ICP-MS). The results showed that the concentration of vanadium ranged from 37-51 mg/kg, with an average of 46 mg/kg, relatively it was high concentrations in the agricultural and residential areas compared to the industrial areas. Statistical analysis indicated the contribution of oil combustion and the use of phosphate fertilizers in increasing vanadium concentrations in topsoil. Pollution indices of enrichment factor were in the minimal enrichment category for all samples, geo accumulation index was non-contamination categories for all samples, while Contamination factor was low for all samples.
Piecewise Curve Fitting Based on Least Square Method in 3D Space

Least squares curve fitting is widely used in various neighborhoods, such as industry, agriculture, and economy. The method of piecewise curve fitting is used to deal with some experimental studies with large amounts of data. It can not only be used for plane space points, but also for three-dimensional space points. Firstly, this article introduces the principles of curve fitting and least squares. Secondly, it clarifies the steps based on least square fitting and gives examples of improvements made based on the principle of least square fitting functions by some scientists. Finally, the piecewise curve fitting in the three-dimensional space is obtained using the least squares piecewise curve fitting. It lays a certain theoretical foundation for drawing the laws between data in three-dimensional space.
Early career guidance as a method of developing the foundations of engineering thinking

The article discusses vocational guidance work and its importance in the rapidly developing world for vocational guidance of young people. In the classical sense, this work is aimed at identifying a way of thinking that has already been formed. The article considers methods for determining types of thinking and argues for the possibility of developing a technical way of thinking. There are proposals for developing “engineering” thinking in the framework of work with students in further education programs and a discussion on the age at which the development of technical thinking should begin. There is a detailed description of the author’s experience in the developing engineering thinking in grade 5 schoolchildren within the framework of the network educational project “Engineering”. Assessment data at various points in the project implementation are analyzed. The problems that arose during the implementation of the project are described, their root cause is analyzed, and methods of resolution are proposed. The conclusions show that the way of thinking is not an inherent genetic constant; the way of thinking is formed by the social environment of a person, by the tasks he is solving. It shows the possibility of developing students’ “engineering” thinking through classes in technical programs.
Detection of False Synchronization of Stereo Image Transmission Using a Convolutional Neural Network

The subject of the work described in this article is the detection of false synchronization in the transmission of digital stereo images. Until now, the synchronization problem was solved by using start triggers in the recording. Our proposal checks the discrepancy between the received pairs of images, which allows you to detect delays in transferring images between the left camera and the right camera. For this purpose, a deep network is used to classify the analyzed pairs of images into five classes: MuchFaster, Faster, Regular, Slower, and MuchSlower. As can be seen as a result of the conducted work, satisfactory research results were obtained as the correct classification. A high percentage of average probability in individual classes also indicates a high degree of certainty as to the correctness of the results. An author’s base of colorful stereo images in the number of 3070 pairs is used for the research.
Using Online Game for Indonesian EFL Learners to Enrich Vocabulary

&lt;p class="0abstract"&gt;For students of English as a Foreign Language (EFL), vocabulary mastery is an essential component of language skills. Vocabulary may contribute to the success of language skills. However, most students had some trouble learning vocabulary. Vocabulary learning requires an advanced technology such as online game. Therefore, this paper aims to investigate the outcome of using an online game named SpellingCity to enrich vocabulary, which is a part of modern gamification. The research design is to have 22 students finish one turn game of SpellingCity and then fill out a survey and interview at the end of the data collection process. The result was that all students agree that using SpellingCity increase their vocabulary acquisition besides of also learning the pronunciation. SpellingCity simple interface design is also found to be one of the factors why SpellingCity considered interesting and easy to play by these students.&lt;/p&gt;
Teachers' and students' attitudes towards reading and writing: Do they correlate to students' achievement in English?

This survey tested the null hypothesis that teachers’ and students’ attitudes towards reading and writing do not simultaneously predict students’ achievement in the English language. The researcher utilized a sample of 38 teachers and 492 senior secondary school students from 12 schools in Benue State, Nigeria, for the study. The researcher developed and utilized the English Language Students’ Attitude Scale (ELSAS), English Language Teachers’ Attitude Scale (ELTAS), and Reading and Writing Achievement Test (RWAT) for data collection. An estimate of internal consistency was obtained through Cronbach’s Alpha and Kuder Richardson’s reliability methods and found to be 0.76 for ELSAS, 0.68 for ELTAS, and 0.81 for RWAT. Data analysis was by multiple regression statistics. The findings revealed that both English language teachers and students have a positive attitude towards reading and writing (F3, 492 = 0.160, p0.05) implying that teachers and students’ attitudes towards reading and writing jointly predicted students’ achievement in the English language in senior secondary schools. To conclude, learning would be facilitated if both teachers and students hold positive attitudes towards reading and writing, and this, in turn, could impact the students’ achievement in the English language. It was recommended that teachers should plan reading and writing instruction that can help students develop positive attitudes to these skills and parents should help in the development of these skills at home.
Digital competences of teachers and associates at higher educational institutions in the Republic of Croatia

One of the basic competences for lifelong learning is the development of digital competence, and especially at higher education institutions. There are long-term goals in economic and social progress in form of initiatives related to the ensuring the multiple information education. Due to the fact that there is not sufficient research aimed at assessing the initial state of information literacy within higher education institutions in Croatia, the goal of the present research is to determine the level of knowledge, more precisely the digital competence of teachers and educators in higher education institutions in the Republic of Croatia, the frequency of their usage of modern technologies in teaching, and to explain the necessity of implementing the multimedia and e-learning traning programmes at different faculties. The research was conducted on a representative sample (N = 1800) of teachers and associates at higher education institutions in the Republic of Croatia working in different departments in Osijek, Split and Zagreb. An online questionnaire was used to examine the level of their digital competence, and the frequency and the method of using modern technologies in teaching. The results of the research show that teachers and associates working at technical faculties are more competent in conducting their research scientific work and use the modern technologies significantly more than teachers and associates working in the area of social sciences and humanities. The results show that more than 70% of teachers and associates are assessing themselves as being digitally competent in the use of computers and new technologies, and over 60% of them regularly use media in their teaching practice.
Expert role in image classification using CNN for hard to identify object: distinguishing batik and its imitation

&lt;span id="docs-internal-guid-25a2977b-7fff-96bd-b93a-19bd55e68ea7"&gt;&lt;span&gt;In this research we try to solve the recognition problem in differentiating between batik and its imitation. Batik is an Indonesian heritage of process in making traditional textile product that is now endangered by the existence of imitation products. We try to compare two popular CNN model to classify batik products into five classes. The classes are tulis, cap, print warna, print malam, cabut warna. Tulis and cap are genuine batik, and the other three are an imitation. We realize that this problem is go beyond the recognition of fine grained image problem, it is a hard to identify image problem because even the batik experts is having a hard time identifying batik and its imitation if only based on its picture. The two CNN models, inceptionV3 and mobilenetV2 were trained on three types of image. One type is a freely taken image, the other two were taken based on the experts suggestion. The accuracy score shows that the model trained with the suggestion based picture perform better than the one trained with the random picture.&lt;/span&gt;&lt;/span&gt;
Face Recognition Based on Deep Learning Under the Background of Big Data

Face recognition has important value in real life.In this study, the application of the deep learning method in the field of face recognition was studied.The structure of LeNet-5 in convolutional neural network (CNN) was selected and improved; based on it, a face recognition method was designed.The performance of the method was analyzed taking CelebA as training set and LEW as testing set.The results showed that the improved LeNet-5 model which took A-softmax Loss as loss function not only had shorter training time, but also had higher recognition accuracy, its accuracy increased with the increase of sample size, and the highest accuracy rate reached 97.9%.The experimental results showed that the face recognition method designed in this study had good performance in large data background as it could effectively reduce the running time of the algorithm and improve the recognition accuracy.This study proves the reliability of deep learning methods such as CNN in face recognition, which is conducive to the further development of face recognition technology.Povzetek: Opisano je prepoznavanje
Prospectivity Mapping for Magmatic-Related Seafloor Massive Sulfide on the Mid-Atlantic Ridge Applying Weights-of-Evidence Method Based on GIS

The Mid-Atlantic Ridge belongs to slow-spreading ridges. Hannington predicted that there were a large number of mineral resources on slow-spreading ridges; however, seafloor massive sulfide deposits usually develop thousands of meters below the seafloor, which make them extremely difficult to explore. Therefore, it is necessary to use mineral prospectivity mapping to narrow the exploration scope and improve exploration efficiency. Recently, Fang and Shao conducted mineral prospectivity mapping of seafloor massive sulfide on the northern Mid-Atlantic Ridge, but the mineral prospectivity mapping of magmatic-related seafloor massive sulfide on the whole Mid-Atlantic Ridge scale has not yet been carried out. In this study, 11 types of data on magmatic-related seafloor massive sulfide mineralization were collected on the Mid-Atlantic Ridge, namely water depth, slope, oceanic crust thickness, large faults, small faults, ridge, bedrock age, spreading rate, Bouguer gravity, and magnetic and seismic point density. Then, the favorable information was extracted from these data to establish 11 predictive maps and to create a mineral potential model. Finally, the weights-of-evidence method was applied to conduct mineral prospectivity mapping. Weight values indicate that oceanic crust thickness, large faults, and spreading rate are the most important prospecting criteria in the study area, which correspond with important ore-controlling factors of magmatic-related seafloor massive sulfide on slow-spreading ridges. This illustrates that the Mid-Atlantic Ridge is a typical slow-spreading ridge, and the mineral potential model presented in this study can also be used on other typical slow-spreading ridges. Seven zones with high posterior probabilities but without known hydrothermal fields were delineated as prospecting targets. The results are helpful for narrowing the exploration scope on the Mid-Atlantic Ridge and can guide the investigation of seafloor massive sulfide resources efficiently.
Selection of the best lecturers using the Simple Additive Weighting method

In the process of determining the best lecturer by students, there are several criteria, including in terms of explaining the material, teaching methods, which make it easier for students to follow their courses.To assist in the selection process for someone to become the best lecturer for students, a decision support system is needed using Fuzzy Multiple Addictive Decision Making (FMADM).This study uses the SAW (Simple Addictive Weighted) method based on predetermined criteria.The SAW method can determine the selection of the best lecturer based on predetermined criteria for students, as well as looking for the weight value of each attribute to get the best lecturer.
Simplified Model to Approach the Theoretical Clear Sky Solar PV Generation Curve through a Gaussian Approximation

Radiation forecast is the milestone of the solar energy industry, making possible the existence of the whole market. Solar radiation models allow scientists and engineers to predict the behaviour of a PV system to perform technical and economic analysis. Despite the existence of numerous models, most of them are highly complex or require massive amounts of data, limiting solar energy start-ups. As a result, a state-of-the-art review was performed and based on it this study proposed a simple model that allows emerging solar companies to create preliminary analysis for their clients. The proposed model calculates the instant power of the envelope curve of PV generation, based on the Gaussian bell equation, by using the daily specific energy and a deviation proportional to the sun hours of the geographical information as parameters. With accurate meteorological data, results showed an acceptable performance, with a more straightforward implementation, when compared against those reported in the literature.