Reviewerly/exHarmony huggingface dataset:
Exploiting a Distributed Nonlinearity in a Photonic Coherent Fiber-Based Reservoir Computer

In this work we use the reservoir computing framework to exploit the natural transient dynamics of a nonlinear photonic system, allowing to perform useful computation. Photonic reservoir implementations are targeting simple reservoir architectures to push the boundaries of state-of-the-art optical computing systems [1] . It is not uncommon for opto-electronic conversion equipment in the input and output layers of such systems to boost the overall system performance beyond the merits of the photonic reservoir itself. As the photonic computing research community shift its target to all-optical computing systems, such non-linearities can no longer be relied on. An in-depth investigation into reliable optical nonlinearities is therefore warranted. In this work, we use a delay-based reservoir architecture based on a coherently driven passive fiber-ring cavity following [2] , illustrated in Fig. 1a , and we demonstrate the exploitation of the optical Kerr nonlinearity, present throughout the reservoirs spatial extent.
Infrared Spectral Measurements of Quartz, Malachite and Hematite in Interpretation of Remote Sensing Data

Summary Infrared spectral measurements as a part of remote sensing are used in mineral deposit investigations. The objective of the present paper is to compare infrared spectral measurements made in laboratory and spectral data from USGS spectral library. In the present investigations laboratory spectral reflectance measurements of quartz, malachite and hematite in the infrared range (2–25 micrometers) of the electromagnetic spectrum are performed. The obtained data of the performed spectral measurement could be used for filling in the database and for better interpretation of satellite data. This work is supported by Bulgarian National Science Fund under Contract number KP-06-M27/2 (КП-06-М27/2).
Math city map: provide and share outdoor modelling tasks. an experience with children

The MathCityMap-project (MCM-Project), carried out by the IDMI Goethe- University Frankfurt (Germany), aims to provide and share outdoor modelling tasks. A web portal and a mobile app for math-trail program were created and several math-trail tasks  were designed around cities allover the world and uploaded into a system by the teachers. Then students walk the trail and its tasks by the help of mobile app or a .pdf file (generated by the web portal) to find and solve mathematical modelling tasks around the city. In this paper we present the results of an experimental teaching activity through MCM-Project for primary school students. Thanks to MCM Project, we were able to design our math-trail in Catania (Italy) and involve some 10-11 aged students in its walking. Data were gathered by means of participatory observation, video recording, interviews, and questionnaires. We will show how much this kind of activity can be effective to support primary school students in the process of modelling mathematics outside the classroom.
Analysis of the Most Promising Parametric Linear Methods for Studying Intellectual Competence

The article examines parametric linear models of the productivity of the intellectual activity of older adolescents. The study involved 100 older students (15 years old). The methodological bases of the research are: “Conceptual synthesis”, “Moods”, “Methods for diagnosing the level of reflexivity”, “Comparison of similar drawings”, and “Interpretation”. The results of the study allow us to conclude that among all the methods of statistical analysis used in the study, data normalization using z-scores, discriminant (stepwise) analysis, factorial (exploratory and confirmatory) analysis with varimax rotation, and regression (multiple) analysis, the following method showed the best results: factorial analysis. The factor structure of intellectual competence can be described by indicators of conceptual (conceptual), intentional (mentality and beliefs), and metacognitive abilities (reflexivity and reflectivity). Thus, factor analysis is the most flexible model for studying fuzzy sets and nonlinear connections of psychological constructs on the example of indicators of intellectual competence. However, the reliability of the models obtained (variance explained) is insufficient for methods that are more reliable. The facts obtained direct us to find more suitable analysis tools.
Design and Development of 3-Dimensional Model of Human Circulatory System to Teach a Concept of Biology in Senior Secondary Schools

Instructional resources guarantee maximum value and effectiveness in the teaching and learning process. The instrument of instruction is communication which must be skillfully designed and developed if the objective of the instruction is to be accomplished. Models are a direct replica of real objects or figures. They are made in place of the original figure or object and used as such in place of the original. Inability to have access to mammalian internal organs is one of the challenges in teaching some concepts in Biology. Hence, we need to develop a 3-dimensional model of the human circulatory system to teach a concept in Biology. The findings revealed that the 3-dimensional automated model of the human circulatory system was successfully developed with materials sourced from the environment. Such materials include Plaster of Paris (POP), Top gum, White Cement, Car Paint (white), Acrylic Paint (Blue and Red), Tissue Paper, Binding Wire, Painting Brush, Silicon Gum, Sandpaper. This study recommended among others that management of secondary schools should make provision for the local 3-D model to be used as teaching aids for effective instructional delivery in their respective schools.
Optimization of Synchronous Dislocation Scheduling Algorithm in Cloud Computing Environment

Complex system is the foundation of human society and living environment. General complex system is composed of physical and information subsystem. The resources needed by information system are provided by physical system, and the work of physical system is controlled by information system. At present, cloud computing technology is developing rapidly and gradually mature, it has become a part of people's work and life. In order to overcome the disadvantages of traditional max min algorithm, such as unbalanced load, large time span and long response time, this paper proposes an optimal scheduling algorithm based on max min algorithm (opmma) to reduce the time span, task completion time, task response time and improve resource utilization. In order to save the energy consumption in the process of task execution and improve the user's time satisfaction, this method comprehensively considers two factors: the user's expected completion time and energy consumption.
The Effectiveness of Phonological Awareness Training on Visuospatial Working Memory of Students with Written Expression Disorder

T his study aimed to determine the effectiveness of Phonological Awareness Training (PAT) on visuospatial working memory of 3rd grade students with written expression disorder. The study design was quasi-experimental with a pretest, posttest, and control group. Thirty students were randomly selected and evaluated by the Writing Expression Test (Fallahchai, 1379), Wechsler Intelligence Scale for Children (Wechsler, 2000), and the Visuospatial Working Memory Test (Cornoldi & Viecchi, 2004). They were randomly assigned to experimental and control groups (each consisted of 15 individuals). The experimental group participated in 13 sessions and was trained by the phonological awareness program but control group participated in the regular school program. All subjects were evaluated after the 13th session and two months later. The data were analyzed using analysis of covariance and repeated measurement analysis of variance. The findings showed that 32% of variation in improvement of visuospatial working memory of the experimental group has been due to the phonological awareness intervention and lasted after two months (P<0.001). Based on the results the Phonological Awareness Training leads to  JIP Aug 2019 SS.docx JIP Aug 2019 SS.docxpromoted visuospatial working memory of experimental group, and its effects lasted for two months. Therefore, the implementation of the Phonological Awareness Training is worthwhile for promoting the visuospatial working memory of the students with written expression disorder.
Implementation of the Language Skills Development in Online Learning in Jelita Silau Dunia Kindergarten, Serdang Bedagai Regency, North Sumatra Province

One aspect of early childhood development that must be stimulated from an early age is language skills. Language skills play an essential role for children in communication to convey messages to one another. However, at this time, the development of children's language skills is not optimally stimulated due to the COVID-19 pandemic, which has resulted in the learning process being carried out online. Previously, the learning process for early childhood was carried out face-to-face, but during this pandemic, learning is done online. It is influential on the growth and development of early childhood, especially children's language. Thus, this study aims to describe how the implementation of language skills development in online learning in Jelita Silau Dunia Kindergarten, Bintang Bayu Sub-district, Serdang Bedagai Regency, North Sumatra. The method used was descriptive analysis research, employing a qualitative approach, carried out at the Jelita Silau Dunia Kindergarten from April to June 2021. Based on the initial observations made at the Jelita Silau Dunia Kindergarten, the researchers saw that many children had developed their language skills. The results of this study revealed that during the pandemic, the implementation of language skills development in online learning at Jelita Silau Dunia Kindergarten continued as expected. Even though the learning process was carried out alternately online and offline, the teacher still stimulated the development of language skills well. The methods and media utilized by teachers varied so that children did not feel bored when carrying out learning activities during the pandemic.
VICTOR ULYANICH AND HIS LADOZVONN INTEGRATED MUSIC-THEORETICAL SYSTEM (portrait of the composer)

This article is an interview with Victor Ulyanich — composer, Honored Artist of Russia, founder of the Computer Music Department of the Gnesins Russian Academy of Music, Professor, Ph.D. in History of Arts. The interview preceded by a brief characteristic of the composer's creativity, genre preferences and characterological content of his compositions, including nature and its sacredness, cosmos and human within it, correlations of all things in the Universe, temptation and resistance to it, and Christian ideas. The main attention is focused on a number of aspects of the Ladozvonn integrated musictheoretical system, which was created by the composer. In order to fully reveal the parameters of its functioning, the author conducted an interview with the composer, which fits seamlessly into the outline of the article. In the process of the dialogue, important points were revealed concerning the use of the main tool of the Ladozvonn system — colored rectangular matrices, the concepts of invariance and fractality, and timbre dramaturgy as a functional analogue of the system in harmony. During the dialogue with the musician, the author substantiates the need to introduce such special terms as "ladozvonn" and "ladozvonn tree" into compositional and musicological usage, as well as to refer not to mathematical, but to musical categories in the process of working on a computer work. The composer raises questions about the repertoire of computer music, and in conclusion, expresses an opinion on the state of modern culture and the composer's place in the world.
Pareto-optimal data compression for binary classification tasks

The goal of lossy data compression is to reduce the storage cost of a data set X while retaining as much information as possible about something (Y) that you care about. For example, what aspects of an image X contain the most information about whether it depicts a cat? Mathematically, this corresponds to finding a mapping X → Z ≡ f ( X ) that maximizes the mutual information I ( Z , Y ) while the entropy H ( Z ) is kept below some fixed threshold. We present a new method for mapping out the Pareto frontier for classification tasks, reflecting the tradeoff between retained entropy and class information. We first show how a random variable X (an image, say) drawn from a class Y ∈ { 1 , … , n } can be distilled into a vector W = f ( X ) ∈ R n - 1 losslessly, so that I ( W , Y ) = I ( X , Y ) ; for example, for a binary classification task of cats and dogs, each image X is mapped into a single real number W retaining all information that helps distinguish cats from dogs. For the n = 2 case of binary classification, we then show how W can be further compressed into a discrete variable Z = g β ( W ) ∈ { 1 , … , m β } by binning W into m β bins, in such a way that varying the parameter β sweeps out the full Pareto frontier, solving a generalization of the discrete information bottleneck (DIB) problem. We argue that the most interesting points on this frontier are corners maximizing I ( Z , Y ) for a fixed number of bins m = 2 , 3 , … which can conveniently be found without multiobjective optimization. We apply this method to the CIFAR-10, MNIST and Fashion-MNIST datasets, illustrating how it can be interpreted as an information-theoretically optimal image clustering algorithm. We find that these Pareto frontiers are not concave, and that recently reported DIB phase transitions correspond to transitions between these corners, changing the number of clusters.
A novel path planning method for wheel-legged unmanned vehicles based on improved ant colony algorithm

Wheel-legged unmanned vehicles combine the efficiency of wheeled mobility with the terrain adaptability of legged mobility, and perform well in the exploration, rescue and other tasks of complex mountain terrain. The successful completion of tasks in complex mountain terrain depends on good perception, decision and planning of the wheel-legged unmanned vehicles, among which excellent path planning will help to improve the efficiency of passing. A novel path planning method based on improved ant colony algorithm for wheel-legged unmanned vehicles is proposed in this paper. Combined with the mechanical structure characteristics of wheel-legged vehicles, the obstacle crossing parameters are added to the heuristic function to relax the obstacle constraint in the path search, which is an improvement of the path planning algorithm. Through a 3D terrain map to carry out simulation experiments, the results show that the improved ant colony algorithm has faster convergence speed, and the search path is closer to the linear distance.
Implementation of Load Balancing Using Cloudsim

CloudSimis a dependable term for the development of new advancements in the current IT market. Cloud computing has made a significant interest for different associations, numerous specialized foundations and administration clients to exploit progressed information innovation for a particular cycle execution. Because of the appealing conveyance of the administrations, the Cloud Technology Academy, the IT business and government associations have gotten a ton of consideration. With the assistance of Cloud computing [1], a client can get to immense measures of information. Considering the source foundation to tally the assets by paying a similar add up to the Cloud specialist co-op that he utilizes for him at that point. Quite possibly the main issues that analysts need to consider load balancing [2] in emergingCloud computing framework. A few burden balancing calculations have been proposed by different scientists to tackle this issue. There are numerous boundaries, for example, asset utilization, dropout, quantifiability, adaptability, reaction time, which are utilized to approve any heap balancing calculation. Any heap balancing designer is relied upon to close a decent exchange between these boundaries. This proposition proposes another technique for load balancing [3] in emergingCloud computing technology. The calculation intends to appropriate a similar burden on every worker on the Cloud organization. It likewise improves asset use A circumstance with the proposed approach in which a couple of assets are vigorously stacked while others are simply sitting inactive. The proposed calculation is likewise contrasted and the current burden balance ques shale.
Characteristics and Constraint Evidences of the Pegmatite Veins in Lubishi Mining Sector, Kalehe District, Eastern DR Congo

The Lubishi pegmatites of South Kivu Province (DR Congo) in the Kibaran belt, which were studied to elucidate the structural imprints and characteristics of pegmatitic rocks associated with Sn -Nb -Ta mineralization, revealed that the pegmatite veins have a general orientation trend of N150°E, similar to the Numbi mining sector, and are perpendicular to the Kibara metasediments.The pegmatite, which is composed of quartz, muscovite, and feldspar, was altered as a result of surface weathering.Due to the ambient climatic condition, the main mineralogy of the various pegmatite zones has been subjected to severe alteration with the change of feldspar to kaolinite.Micro and macro veins of pegmatite were discovered during the structural examination.The constraint stresses 1=N358°E/20°NNW, 2=N200°E/70°SSW, and 3=N88°E/20°ENE produced micro and macro veins of pegmatite, according to the structural research.The Lubishi pegmatite's overall orientation trend can be exploited for future geological exploration.To complete this study, a geochemical examination should be conducted to identify the makeup of these pegmatite.
RELATIONSHIP AMONG STRESS, TEST ANXIETY AND ACADEMIC PERFORMANCE IN MATHEMATICS AMONG SENIOR SECONDARY SCHOOL STUDENTS IN KATSINA METROPOLIS

This study investigated the relationship among stress, test anxiety and academic performance in Mathematics among Senior Secondary School Students in Katsina metropolis. The study was conducted with four research objectives, four research questions and four null hypotheses. The study adopted correlational research design and used two questionnaires as instruments for data collection. The sample for the study was arrived at using stratified   sampling technique.  A total of three hundred and twenty seven (327) students were used as research sample. The analysis of the data collected was done using both descriptive and inferential statistics.  Findings among others show that: there is significant relationship between stress and academic performance in mathematics among senior secondary school students in Katsina metropolis (r= -0.932, p<0.05). It is recommended that proper stress assessment should be conducted to secondary school students by school managements in order to find and tackle the different levels of stress that affect students. Keywords: Test anxiety, Stress, Academic performance, Mathematics Education
Detecting Errors in Automatic Image Captioning by Deep Learning

Automatic tagging of images is an important research topic in the field of image processing. Another area similar to this is the automatic generation of picture captions. In this study, a deep learning model that automatically tags the pictures is used to detect errors in image captions. As a result of the initial experiments, it is observed that the proposed system can find up to 80% of the errors in the image captions.
Museum pedagogy in education: educational, historical, and pedagogical aspects

At the present stage of civilizational development, characterized by numerous transformations in the historical-political, socio-economic, cultural, scientific, and educational spheres of social progress, the importance of using the results of pedagogical innovation in continuing education is emphasized. The study's aim is to consider the experience of using museum pedagogy based on education and analyzes this phenomenon in terms of historical and pedagogical aspects. To meet the objective of the study, the descriptive method is utilized. Based on the results obtained, it can be concluded that the mission of museums is to increase the level of knowledge and moral and spiritual education. The authors state that the priority approach of the state cultural, scientific, and educational policy should be the effective use of museum activities for the public good. Education requires the active introduction of museum pedagogy to improve the educational process.
Tradisional Dan Modernitas Tipologi Arsitektur Masjid Hunto Sultan Amay Gorontalo

A mosque is a symbol of the magnificence of Islam, which has an important significance in Islamic culture and civilization, and is a symbol of harmony in human life with Nature and the environment.The appearance of the Hunto Mosque building is a combination of elements of local architecture and Islamic architecture which is full of meaning. Some of these parts are the four pillars of the mosque which are interpreted as the four companions of the prophet, six wooden doors, a pulpit whose ornaments come from Gujarat, India, a drum, and an old well where ablution is of course as old as the Hunto Mosque. Hunto Mosque, the first mosque in Gorontalo City, was built in 1495 AD or 899 H, and has an area of 12x12 meters. This study aims to determine in general the form of typology in the form of architectural ornaments at the Sultan Amay mosque.The manifestation of a mosque architectural typology that occurs directly or indirectly, is due to the distinctive difference between a traditional Islamic community-based architectural typology with a modernist Islamic community-based architectural typology, each of which is influenced by the characteristics of the Islamic orientation of society.
La enseñanza del inglés en entornos virtuales de aprendizaje en Uniandes - Santo Domingo, Ecuador 

En momentos de pandemia y reclusion, el alumno depende mucho mas de sus propias estrategias para el aprendizaje del ingles. Es proposito de este trabajo, desde un diseno observacional, descriptivo y transversal, valorar el desarrollo de la competencia comunicativa de los estudiantes a partir de elementos de la teoria historico cultural basado en los temas del curso y el pensamiento critico que ofrecen las actividades y los textos del libro Life. En la metodologia se empleo una concepcion mixta de la investigacion. El principal resultado ha sido la descripcion del pensamiento critico del alumno desde la comprension textual a la produccion oral. Se concluyo que hay relacion entre ambos facilitado por elementos de la teoria historico cultural.Palabras clave: Teoria historico cultural, aprendizaje de ingles, entornos virtuales, comunicacion oral, comprension de lectura. ABSTRACTIn times of pandemic and seclusion, the student depends much more on his own strategies for learning English. It is the purpose of this paper, from an observational, descriptive and cross-sectional design, to assess the development of students' communicative competence based on elements of cultural historical theory based on the course topics and the critical thinking offered by the activities and the texts from the book Life. A mixed conception of the research was used in the methodology. The main result has been the description of the student's critical thinking from textual comprehension to oral production. It was concluded that there is a relationship between the two facilitated by elements of cultural historical theory.Keywords: Cultural historical theory, English learning, virtual environments, oral communication, reading comprehension.