Reviewerly/exHarmony huggingface dataset:
General Formulation of Ångström-Prescott Coefficients: A New Approach for Côte d’Ivoire

In this study, we used calibrated annual Ångström-Prescott (AP) coefficients of nine (9) weather stations in Côte d'Ivoire to formalize two general equations expressing them as a function of the latitude and altitude. The aim is formalizing the general equations of Ångström-Prescott coefficients that can be used to increase the density of global horizontal irradiance. The Ångström-Prescott coefficients thus obtained were compared with the values calibrated using the root mean square error (RMSE), the mean bias error (MBE), the mean absolute bias error (MABE), the NSE coefficient and the statistical t-test (t-stat) with the following results for coefficients a and b respectively: 0.00935143, -0.00042828, 0.00825164, 0.99734601, 0.12129825 and 0.00633772, -0.00017254, 0.00471422, 0.7653197, 0.072056623. To improve the estimation of coefficient a, we linked it to the coefficient b by a polynomial function of degree two. This equation led to a significant decrease in the absolute estimation error of coefficient a resulting in low values of RMSE and MABE. RMSE decreased from 0.00935143 to 0.00498464 and MABE decreased from 0.00825164 to 0.00346367. The low values of the statistical t-test (t-stat) (0.45735957 for a and 0.07205623 for b) for the two equations show that the model agrees well with the data. The good agreement between the annual Angström-Prescott coefficients estimated and calibrated also confirmed by high NSE coefficients (0.99924593 for a and 0.7653197 for b) recommends the use of this model in any site in Côte d'Ivoire to predict global horizontal irradiance.
Formation of Competences for the Education of Students in the Spirit of Tolerance

This article analyzes the need, methods and tools for the formation of competencies for educating students in the spirit of tolerance.
Replication and Migration Cost Minimization of Cloud Data Center

Cloud Storage Providers (CSPs) provide geography features of an area data stores offering numerous classes for storage accompanied by various costs. One significant problem faced by cloud consumers is how to utilize these storage classes to deliver a device with the time-varying workload on its objects at a minimal price. This price includes the price of resident (for example, storage, put and get prices) and the possible migration price (for example, network price). This paper proposes the Replication and Migration Cost Minimization (RMCM) algorithm in Green Cloud Computing to tackle this issue. This algorithm is using VM’s direct migration method, which could decrease data centre prices and power usage by combining virtual resources. To decrease the price of data-placement for devices accompanied by varying workloads over time, developers must make optimal use of the price variation between storage and network services across multiple CSPs. This paper proposes an optimal cost-effective technique (OCET) for copying and migrating data into cloud data centres accompanied by numerous storage classes to attain this aim. This work goal to achieve price reduction in the load assign procedures in multiple data centre environments where virtual machines allocated to a provided data center taking into account energy price differences and the availability of local renewable power generation. The simulation outcomes demonstrate that the RMCM and OCET algorithm could reduce a replication and migration cost and decrease the power consumption of data centre in green cloud computing efficiently.
MUSIC TEACHER’S ARTISTIC AND AESTHETIC CONSCIOUSNESS: ESSENCE AND CONTENT OF THE CONCEPT

The paper reveals the essence and content of the concept of ‘artistic and aesthetic consciousness of the teacher,’ where aesthetic consciousness is defined as one that determines the attitude to the phenomena of nature and culture and reveals their value aspects. The author analyzes the main components of artistic and aesthetic consciousness, which are aesthetic sense, aesthetic taste, aesthetic ideal, and shows art as a means of emotional development of the world, which becomes possible only in a socio-cultural environment by mastering certain cultural standards and cultural heritage. Given that art in the aggregate of its artistic images is a spiritual, ideal model of the world, which reflects not so much the real world as the desired, the author defines it as the basis of the spiritual culture of the era, its collective memory. Analyzing the essence and content of the concept of a music teacher’s artistic and aesthetic activities in today's conditions the following factors acquire: possession of a high level of professional training in various fields of music, on which their profession is based; possession of a wide range of creative skills in the field of music; ability to use various forms of work that contribute to the setting-up creative activity, interest in music lessons; ability to apply different types of creative activities in each lesson, based on the content of the development of aesthetic consciousness of future teachers of music; conscious understanding of the essence and content of the concept of a music teacher’s artistic and aesthetic activity in today's conditions. Artistic and aesthetic consciousness is the basis of the professional competencies of a music teacher, who extrapolates musical and aesthetic values into the educational process of student youth, forming their aesthetic culture.
Definitions of scientific and semiscientific concepts in philosophy through the example of the «innateness» concept

In this article, the author tries to find the best strategy of defining scientific and semiscientific concepts in philosophy. In the first part of the article, the main types of definitions are analyzed. The author dived into the details of each of them and found explicative and ameliorative definitions to be best suited for scientific and semiscientific concepts. The ameliorative method, however, appears to be slightly more preferable because it provides us with more theoretical tools for philosophical analysis. The second part of the article demonstrates the advantages of the ameliorative method using the «innateness» concept as an example. The author has chosen «innateness» because it has plenty of various definitions in science and philosophy today. If such a complex case can be solved with the ameliorative method, then we may conclude that this method is productive. The author found the ameliorative analysis of «innateness» to be a rather fruitful method of work with the mentioned concept. Therefore, the ameliorative approach to formulating definitions is concluded to be the most appropriate for philosophers and scholars when working with scientific and semiscientific concepts.
Current trends in the development of lifelong learning in the concept of Higher Education Institutions (HEIS)

The purpose of this investigation is to identify the manifestations of current trends in the development of lifelong learning at the final stage of study at the university. The research used such methods as complex analysis, study and analysis of scientific literature on lifelong learning, method of questionnaires, monitoring, information collection, qualitative, and quantitative analysis of data, statistical and mathematical interpretation of empirical data and functional analysis, generalization method and abstractions. In summarizing the results of the study, three fundamental factors of LLA were considered: questionnaire (based on non-self-reflexive tactics); Academic success rate; Participation in research and public activity rate. High Level of LLA was shown by 15.8% of respondents, Good Level of LLA was found in 52.5% of respondents, Sufficient Level of LLA - in 14.2% and Unsatisfactory Level of LLA - in 17.5%. Unsatisfactory LLA in 17.5% is an indicator that can be described as undesirably high. Based on the theoretical analysis and systematization of empirical data, a set of recommendations for improving the LLA of applicants directly in the framework of higher education.
A Survey on the Degree of Satisfaction of Teaching Skill Learning of Mathematics Normal Students in Post Practice

The post-practice of normal students is a popular practice mode at present. Teaching skill is the main content that normal students learn in practice. In order to promote the better development of post-practice, this study selected some interns of the post-practice of mathematics major in a Normal University in China and investigated the satisfaction of learning. The results show that mathematics normal students are satisfied with the learning of the teaching skills of four dimensions, which shows that they are generally satisfied with the post-practice, and their satisfaction is relatively high. However, the learning of some of the teaching skills has low scores, indicating that mathematics normal students are not very satisfied with the learning of these teaching skills and need to improve. Therefore, it is suggested that in the process of post-practice, colleges and guidance teachers should pay attention to strengthening the guidance of weak teaching skills such as writing teaching plans, so as to promote the better development of normal students.
What Does Google for Jobs Mean for Job Search, Recruiting—and Job Boards?

Google for Jobs will radically change the job search industry. The impact on recruiting is also massive. The first job boards are already reporting a loss of visibility in the Google index, while others are benefiting from additional coverage and more applications. But Google for Jobs has even more impact. After all, the data octopus has such a comprehensive profile of us that Google knows more about us than we can imagine.
Gaze distribution around footholds in rough terrain.

In rough terrain, walkers must use vision to select viable paths and to find suitable footholds within the time frame allowed by the gait cycle. How is this visuo-motor loop controlled? Recent work demonstrated that in rocky terrain, walkers spend most of the time fixating the region 2-3 steps ahead, which allows them to take advantage of the passive dynamics of the body, and stay close to the energetically optimal gait (Matthis et al, 2018). However, in that study it was not possible to accurately estimate fixation and footplant locations, as errors were introduced by projecting gaze onto a flat ground plane. We have recently been able to improve these estimates using a novel animation technique called photogrammetry to create 3D representations of the terrain using video footage from the Pupil Labs scene camera. In combination with eye tracking and IMU-based body tracking, photogrammetry allowed us to intersect the gaze vector with the actual 3D location of the walking surface. We were also able to more accurately locate the placement of the foot. This method allows for more accurate localization of gaze relative to foothold locations, and also eliminates IMU drift. We analyzed 6 walks on rocky terrain for each of 3 subjects. For the different subjects, gaze was distributed around the upcoming footholds (2 and 3 steps ahead) with a standard deviation ranging between 17-21cm for the different subjects (approximately a foot-length) in the direction of travel, but only 3.3-5.1 cm laterally. When gaze is 2-3 steps ahead, two standard deviations covers approximately 16 deg by 4 deg. Thus walkers allow more flexibility in gaze location along the travel path and are presumably using information from the parafoveal retina to guide the choice of foothold at least some of the time in rocky terrain.
PENGEMBANGAN MODEL PEMBELAJARAN MENULIS TEKS CERITA PENDEK BERBASIS PENDEKATAN METAKOGNITIF BAGI SISWA SMP

This study aims to produce a learning model for writing short story texts (short stories) based on a metacognitive approach for junior high school students. The research method used is research on the development of the Sugiyono development model. The research procedure uses the following stages: 1) potential problems, 2) collecting information and literature study, 3) product design, 4) design validation, 5). design improvements, 6) product trials, 7) product revisions, 8) usage trials, 9) product revisions, and 10) mass product manufacture. The population of this study was class VIII students of one of the junior high schools in West Bandung Regency with a purposive sample of 34 people. Research data includes test and non-test data. The results showed that the learning model for writing short stories based on a metacognitive approach was valid to be applied in learning and was proven to be effective in improving the ability to write short stories for junior high school students.
Machine learning, eye movements and mathematical problem solving

Major discoveries in technology and science often rely on mathematical skills. Mathematical knowledge is founded on basic math problem solving such as addition, subtraction, multiplication, and division. Research shows that problem solving is associated with eye movements that index allocation of attention. Machine learning has been used with eye-tracking metrics to predict performance on real-life user efficiency tasks and classic puzzle games. Critically, no study to date has evaluated eye-tracking metrics associated with mathematical operations using machine learning approaches to classify trial correctness and predict task difficulty level. Participants (n = 26, 20-30 years) viewed mathematical problems in three levels of difficulty indexed by 1-, 2-, and 3-digit problems along with four possible answers, while their eye movements were being recorded. Eye-tracking data were acquired with EyeLink Portable Duo SR Research eye-tracker with 1ms temporal resolution (at 1000 Hz frequency) in remote head-free-to-move mode. Results show that trial correctness can be classified with a 0.81 ROC AUC score based on 5 fold cross-validation. Predicting task difficulty level of each trial was attained with 72% accuracy, which is significantly better than the random prediction (i.e., 50%). The most important features for both machine learning models include metrics associated with current pupil fixation, current saccade amplitudes, and current fixation duration. Theoretically, findings contribute to theories of mathematical cognition. Practically, algorithms can contribute to further research in mathematical problem solving and machine learning, which potentially has applications in education in terms of assessment and personalized learning.
Sharing is Caring

This research focusses on understanding how informationmanagement of NGOs and IGOs impact the social good forthe communities it works for, keeping cultural boundaries intact for the vulnerable population.
Enzymatic Analysis through Computer and Engineering Technologies

A simple bug that calculates the movement connected pointers of protein reactions is delineating. pointers square measure discovered by not moving into a line, leastsquares moving backward victimization either Marquardt-Levenberg sets of pc directions to search out the minimum total of squares. 3 sorts of protein reactions is fastidiously studied: chemical being modified reactions Michaelis-Menten and sigmoid movement-related, protein stimulation of action active and effective at a set supporting chemical being modified worth or protein stopping of behavior at a set supporting chemical being modified worth. The user will monitor goodness of match through statistic associated with learning numbers tests performed mechanically by the pc and thru visual examination of the pattern of extras. The program is like nothing else within the world in providing equations for matter and stopping of behavior analysis still as in sanctionative the user to mend a number of the rules before moving backward analysis. The quality of the program makes it terribly helpful for quickly deciding out movement-related pointers throughout the data-gathering method.
An Empirical Study of Bitcoin Pricing using an Evolutionary Framework

Cryptocurrency merchandising is growing as an attractive area of investment. Bitcoin is much preferred over other cryptocurrencies in the world and hence is becoming more popular. But, the bitcoin price is extremely volatile. So, the forecasting of its price is highly desirable. As nature inspired-machine learning is being used extensively for time series analysis and prediction, it can be explored for bitcoin prediction as well. Also, as bitcoin is gradually increasing as a promising virtual asset, its volatility needs to be measured. This paper unveils the consequence of using ChebyShev Ploynomial Neural Networks (CHPNN) for Bitcoin pricing process. The evolutionary algorithms: Particle Swarm Optimization (PSO) and Differential Evolution (DE) are utilized for training the model. This study analyses the performance of the model through three different error measures: Root Mean Square Error (RMSE), RRSE (Relative Root Square Error) and SSE (Sum of Squares Error). It shows that DE-CHPNN predicts better day-ahead price of bitcoin.
Library Guides: REDCap at Berkeley: Get Help

This guide has information about REDCap at Berkeley including campus availability, training videos, and how to get help.
Distance learning in the digital era

The Covid 19 pandemic makes the learning process must be done remotely. The learning process, which is usually done face-to-face, changes to a distance. There are many new things in distance learning. Adaptations are carried out by teachers and students. Increased mastery of technology is carried out. This research uses the library research method, where this research in collecting information and data uses a variety of materials and materials in the library, namely in the form of books, journals, documents, magazines, historical stories, news, and other relevant sources. Distance learning requires adequate facilities and infrastructure, such as laptops, computers, smartphones and internet networks. This becomes one of the challenges of distance learning. Distance learning makes students more independent, because it places more emphasis on being student centered. They are more courageous to express their opinions and ideas. As well as the government has also provided several platforms that students can use to learn.
Οι απόψεις των εκπαιδευτικών αναφορικά με τον ρόλο των σχολικών βιβλιοθηκών στην ενίσχυση της σχολικής μονάδας

Undoubtedly, the school library is not only a catalytic resource in the circulation of information and knowledge but also an equally important and timeless educational resource. In this light, the purpose of the work is to highlight the necessity of school libraries in schools and their crucial pedagogical and educational role in the evaluation of educational work. Specifically, it is investigated through the views of secondary school teachers, the way in which the school library contributes as an educational institution to the strengthening of the school unit. In particular, the research focuses on the impact of the school library on learning outcomes and the development of students' information literacy, but also its specific impact on the planning of teaching so as to modernize it, to effectively meet the educational requirements of the 21st century. In order to achieve this purpose, but also the individual objectives, a quantitative research was conducted, and the questionnaire was selected as a research tool for data collection. The findings show that teachers see the school library as a potential lever to positively improve student performance and better manage information and information resources, but on the other hand, its degraded role in schools does not make it the springboard to achieve such results. Then, for the same reasons, the effect of the school library on the transformation of teaching into a research process enriched with the supplies of modern technology seems to touch the realm of the impossible for the data of Greek education. Therefore, this research demonstrates the need to redesign the goals of the educational system, so that the institution of the school library acquires its rightful position in the Greek school.
AVASAG: A German Sign Language Translation System for Public Services (short paper)

This paper presents an overview of AVASAG; an ongoing applied-research project developing a text-to-sign-language translation system for public services. We describe the scientific innovation points (geometry-based SL-description, 3D animation and video corpus, simplified annotation scheme, motion capture strategy) and the overall translation pipeline.
Navakanesh M Batmanathan: Customizing Hazard Outreach

Geologist contributes to community-focused outreach in Southeast Asia.
The Evaluation of Image Messages in MP3 Audio Steganography Using Modified Low-Bit Encoding

Information security is an important aspect of maintaining the confidentiality of information. One type of document kept secret is images (.jpg, .png, .gif, dan .bmp). MP3 audio files are popular audio files that can be used as a medium for steganography. The method implemented in this study uses Base64 in the image and the insertion method used is using Low-Bit Encoding (LBE). In this study, the parameters of the value of LBE will be evaluated. The purpose of the evaluation is to compare the LBE parameter parameters that are the most optimal in securing the message while taking into account the quality of steganographic files. The results obtained from the study are the proposed method that supports the imperceptibility aspect seen from the image histogram and audio frequency spectrum. The fidelity aspect is seen from the PSNR and SNR values, where The optimal value on the LBE + 2 parameter is by considering the capacity of the picture message that can be inserted and audio quality. PSNR LBE + 2 values range from 50-60 dB with SNR different about 0.01% from LBE + 1. The proposed method does not support the robustness aspect because it is not resistant to attacks by bit rate manipulation and channel mode. The test results on the recovery aspect are worth 100%, meaning that the image's quality and size before and after extraction will be the same. And finally, the test results on the payload aspect, there is an increase in message capacity with LBE + 2 around 12.5% of LBE + 1, and using LBE + 3 will increase the maximum size around 25% of LBE + 1 and about 14% of LBE + 2. The insertion and extraction time for LBE + 3 is slower compared to the others.