Reviewerly/exHarmony huggingface dataset:
FAIRness of micrometeorological data: New community challenge?

&amp;lt;p&amp;gt;&amp;quot;&amp;lt;strong&amp;gt;F&amp;lt;/strong&amp;gt;indability, &amp;lt;strong&amp;gt;A&amp;lt;/strong&amp;gt;ccessibility, &amp;lt;strong&amp;gt;I&amp;lt;/strong&amp;gt;nteroperability and &amp;lt;strong&amp;gt;R&amp;lt;/strong&amp;gt;eusability &amp;amp;#8211; the FAIR principles &amp;amp;#8211; intend to define a minimal set of related but independent and separable guiding principles and practices that enable both machines and humans to find, access, interoperate and re-use data and metadata&amp;quot; (FAIR Data Maturity Model Working Group, 2020). In the further text term &amp;quot;FAIRness&amp;quot; will be used to describe how data meet FAIR principles, while FAIRNESS (capital letters) is the COST CA20108 action title.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The long-term need for a FAIR micrometeorological data is strongly boosted by two independent but equally important issues: a) full awareness of the time, effort, and money lost due to the lack of FAIR data in general (it is quantified in EC PwC EU Services report (PwC EU Services, 2018): &amp;quot;&amp;amp;#8230;the minimum true cost of not having FAIR data &amp;amp;#8230; is 78% of the Horizon 2020 budget per year) and b) urgent need to develop tailored adaptation and mitigation measures in rural and urban areas to reduce negative effects of adverse weather and climate change.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Enhanced standardization and integration between data bases&amp;amp;sets of micrometeorological measurements that are part of research projects or local/regional observational networks established for special purposes (agrometeorology, urban microclimate monitoring) by increasing FAIRness of data create a strong background for future research and modeling studies as well as a European Micrometeorological database.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Addressing identified challenges requires an effective transboundary network of researchers, stakeholders (extension services and environmental agencies, local authorities and ministries, SME), and civil society (specialized and general public) from Europe and beyond to identify and fill knowledge gaps, standardize, optimize and promote new environmental-tailored measurement and control procedures, enhance research effectiveness and improve dissemination. Therefore, FAIRNESS Cost action gathers 94 researchers, scholars, students, and stakeholders from 25 countries and 20 different specializations to work together to achieve goals set together.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Literature&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;FAIR Data Maturity Model Working Group. (2020). FAIR Data Maturity Model. Specification and Guidelines (1.0). https://doi.org/10.15497/rda00050&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;PwC EU Services. The cost of not having FAIR research data (2018) DOI 10.2777/02999.&amp;lt;/p&amp;gt;
Comparative Analysis for Moving Object Detection in Vibrant Background Using SVM, LS SVM and Random Forest Classifier

In the machine learning world, moving object detection is a very interesting problem for researchers and many researchers are working on it for getting optimal results. It is very difficult to get the accurate results in this problem area due to very large diversity in the set of color and shapes of the object. Several techniques are already being used by researchers. In this chapter, machine learning algorithms are used for motion detection and consecutive images. Movement: the pixel is a useful characteristic of image for the segmentation process as it distinguishes a moving pixel from the motionless pixels. Modern machine learning techniques give better results in classification type of problems. Machine learning can be used to identify moving pixels using the successful trained model. Random Forest Classifier is used to classify the pixel in two classes of moving and stable pixels. Results obtained using this approach show that machine learning methods are very promising techniques for this type of problem area. Random Forest Classifier works better with the numerical features set. It enhances the result up to 6 percent over SVM classifier for all sequences with 5 percent improvement over LS-SVM for the sequences having the stable background. It can handle large size input as well.
The Ontological Foundations of Musical Creativity

In the system of classical arts, music has always been perceived as a human actional breakthrough to understanding the Universe. The musical language, considered as a cultural universal, is the basis of intuitive cognition, a felt view of the axiological unity of Truth, Goodness and Beauty. The article offers an analysis of the formation of the main philosophical theories of the ontological nature of musical creativity in their historical continuity. In the history of ideas, the phenomenon of musical creativity has been perceived as a special kind of revelation. This reveals the obvious importance of the aesthetic approach in understanding the transcendental world; the objectified connection of man with ontological processes. Modern theories of universal evolutionism represent the development of the Universe as a single system based on the unity of its laws. It is in our time that comprehension of the essence of musical creativity opens a fundamentally new page in the philosophical understanding of the centuries-old history of music. The key point is the idea of the Μελῳδός aspiration to the Λόγος, the tendency to move from particular theoretical constructions and critical assessments to considering the phenomenological foundations of music, fundamentally presented, in particular, in the works of A. Losev and T. Adorno. In the XX century, there was an obvious surge in the formulation of generalizing musicological concepts, and it was in the XX century that the philosophy of music received qualitatively new worldview foundations for its comprehensive interpretation. In this respect, the study of the epistemological nature of musical creativity has reached, it would seem, its peak. However, comprehension of the investigated theories allows us to draw conclusions only about the possible approximation of a true understanding of the essence of musical creativity as a special cognitive practice. This turns out to be possible on the methodological basis of cumulative generalization, taking into account the religious, aesthetic, cultural, psychological, educational and other approaches in comprehending the value of the “world of sound”.
Software Engineering Education: Discovering Future Skills

In the contemporary digital age the majority of industries become very much software dependent, require automation, digitization, and deployment of new technologies. The need for specialists, skilled in software engineering, is in high demand. In this study, we set out to investigate what challenges may arise in IT students skill sets and new competences in the software engineering context and answer the question how is skills demand evolving and where the gaps will be?". The paper analyzes what specific knowledge needs to be developed during university education and identifies their evolving skills demand. The paper recommends how students and young specialists in software engineering need to change themselves to adapt to the changing world.
Studying the aspects of university freshmen’s English learning and the directions of general English class in university

The purpose of this study is to study the aspects of university freshmen’s English learning for entering university and the directions of General English classes in university. The participants are 334 university freshmen and was divided into two groups: the English class in school-mainly focus group(SG) and the college scholastic ability English testmainly focus group(CG). The English learning aspects include 1) ‘English learning areas that they focused to study in high school’, 2) ‘English learning methods or ways they highly or most used’. Additionally, the answers of question 3) ‘Which English learning areas are the most important in general English class in university?’ were studied, too.&#x0D; The results of study show that for the first aspect, statistically significant differences existed between the two groups, even though both groups focused to study ‘English reading’ the most. Also, statistically significant differences were founded between the two groups for the second aspect, and English class in SG used ‘English class in school’ most while ‘TV/Internet’ was used most by CG. For the third aspect, statistically, significant differences didn`t exist between the two groups, but both groups considered ‘English conversation’ most important in general English classes in university. With these findings, this study can suggest the direction of general English classes which universities can arrange for their freshmen.
Advancing risk assessment of engineered nanomaterials using deep learning approach

Nanotechnology is a novel technology that develops material at a size of 100 nm or less which has become beneficial in various human endeavors because of its unique characteristic features. Nano-materials are utilized in medicine, Engineering, and agricultural industries. The unique properties of these materials are applied for beneficial purposes and at the same time may also have negative toxicological and environmental impacts. Considering the impacts on the environment and human health, nanomaterials could be harmful because they are easily distributed through the environment, aquatic, and human systems. Particularly in human body system, the unique properties have made its transportation and distribution through the skin, lungs, gastrointestinal tract very easy. However, several toxicological studies have shown considerable inherent toxicity of some nano-particles to living organisms, and their negative and harmful effects on the environment and aquatic systems for which both quantitative structure activity relationship and relatively tedious animal testing procedures are available in various literatures for their characterization. Because of the large number of nanoparticles manufactured with the different intrinsic properties especially sizes and coatings, there is therefore need to explore an alternative approach that will not necessitate conducting test on every nano-particle produced. It is the apprehensions of these potentially harmful effects of nanomaterials that constitute serious setback to nanotechnology commercialization. The objective of the study is to develop intelligent models to assess, evaluate, and manage the inherent risks. In view of these side effects, there is therefore the need to design and develop classification and nanomaterials toxicity predictive models using deep learning intelligent systems. This paper, therefore, focuses on the capability of deep learning techniques to model physicochemical properties and toxic effects of nanomaterials. Hence, the main motivation of this research work is to assist the users of nanomaterials in classifying, assessing and determining the risk of nanomaterials toxicity.
Tracking and Analysis of Football Match using Image Processing Techniques

There is a lot going on in a game of football. With players of both teams racing across the field, let alone the complex rules involved, there is a need to constantly monitor and track the various activities going on, which would ultimately result in a fair and enjoyable game. This project focuses on implementing various image processing algorithms to efficiently analyse a football game. MATLAB Image processing and Computer vision toolboxes as well as OpenCV, are used to detect and recognise the football, as well as to track and segregate the players according to their teams. Goal detection and a comprehensive check on the offside rule is done. This kind of tracking and analysis is carried out using feature extraction, colour-based segmentation, line detection and morphological processing.
Identification of Incung Characters (Kerinci) to Latin Characters Using Convolutional Neural Network

Incung script is a legacy of the Kerinci tribe located in Kerinci Regency, Jambi Province. On October 17, 2014, the Incung script was designated by the Ministry of Education and Culture as an intangible heritage property owned by Jambi Province. But in reality, the Incung script is almost extinct in society. This study aims to identify the characters of the Incung (Kerinci) script with the output in the form of Latin characters from the Incung script. The classification method used is the Convolutional Neural Network (CNN) method. The dataset used as many as 1400 incung character images divided into 28 classes. In this study, an experiment was conducted to obtain the most optimal model. Showing the results using the CNN method during the training process that the accuracy of the training data reaches 99% and the accuracy of the testing data reaches 91% by using the optimal hyperparameters from the tests that have been done, namely batch size 32, epoch 100, and Adam's optimizer. It evaluates the CNN model using 80 images in words (a combination of several characters) with 4 test scenarios. It shows that the model can recognize image data from scanning printed books, digital writing test data, test data with images containing more than two characters, and check images with different font sizes
Analysis of Covid-19 Cash Direct Aid (BLT) Acceptance Using K-Nearest Neighbor Algorithm

During the COVID-19 pandemic, the government imposed Large-Scale Social Restrictions (PSBB) to reduce or slow down the spread of COVID-19. This causes people to be unable to work as usual, and not even a few people have lost their jobs. This prompted the government to launch the Covid-19 direct cash assistance (BLT) program. One of the areas affected by the PSBB is Batu Ampar Village, which distributing BLT is considered less effective by residents because there are BLTs that are not well-targeted. The cause of the ineffectiveness of the distribution of aid was assessed because the data was out of sync; it was difficult to verify and validate the new data due to the size of the area and the constantly changing number of underprivileged residents. To overcome these problems, a model is needed to predict the recipients of this Covid-19 BLT. This study uses the K-Nearest Neighbor (K-NN) algorithm and RapidMiner tools to make predictions and validate using Cross-Validation. The data used are 711 lines with 474 training data and 237 testing data resulting in an accuracy of 89.68% for training data and 88.61% for testing data.
Elements for the Design of a Literary Route: Miguel Torga in Coimbra

Contemporary cities are privileged spaces for commercial and cultural exchanges, where more than half the world’s population prefers to live, concentrating in themselves all that is best and worst in society. The design determines, in part, how we understand and live in the cities, very marked by factors associated with consumption, such as branding and promotional campaigns for commercial and cultural products. Nevertheless, spaces of concentration of Cultural Heritage need to be preserved and made known as a structuring element of cultural diversity. The issues of accessibility, both physical and cognitive, imply information processes where the experience and the way we enjoy the space are increasingly valued. The designer acts as a cultural mediator, identifying and activating disclosure tools to promote access to heritage, including its intangible dimension. In this article, we present a cultural route about Miguel Torga’s places of memory in Coimbra, connecting city and literature, based on the book “The creation of the world” in which we identify a set of excerpts to integrate the route. We also list a set of means, developed by communication design, to promote the author and the city in its tangible and intangible dimensions.
Implementation of Codeigniter 3 Framework in Creating Web-Based Sales System and Company Profile of A Swallow Consultant

The developments in telecommunications and technology rank first in order to bring about changes in the social conditions of the world. Business opportunities by utilizing the internet are also increasing, especially for promoting goods and services. CV Andromeda Multi Sarana or commonly known as AMS is a company engaged in Swallow consultancy. The company is engaged in trade and services. In supporting its trading activities, AMS requires a website. Currently, AMS only has one company profile website, while the processing and sales are still carried out using manual recording through Microsoft Excel application. This can also cause ineffectiveness and inefficiency of reports given by administrative staff to their superior. In this study, the researchers provide a solution to the problem by creating online store sales system and company profile using a website-based Codeigniter 3 framework. This study aims to provide solutions to existing problems and facilitate users in making transactions with company admins.
Music and Mathematics in Latin America: Major Developments in the Last 25 Years

This text is an overview for Latin America across the field of music and musicology intersecting mathematics, including the advances from perspectives of experimentation, creation, analysis and pedagogy throughout interdisciplinary developments, particularly in the field of computational science and philosophy of science.Our main goal is to spread worldwide the richness and variety of research on music and mathematics in Latin America as well as stimulate further investigation in this fascinating intersection.
The Social Foundations of Defamation in Trial Court: Why Cases Begin and How They End

AbstractAbstractThis article reports the results of a study of defamation cases in trial court. Robert Post’s conjecture that reputation comprises three distinct concepts forms the basis for the study’s central variable. The study develops and empirically tests a framework for understanding why defamation cases begin and how they end. The results show that the social characteristics of defamation cases, and especially how complainants describe their reputations, reveal predictable patterns of behavior. The study is based on a review of thousands of pages of documents in the trial court files of 337 defamation cases from Wisconsin. The implications of the study for development of the common law of defamation, for renewed attention to criminal defamation, and for teaching students about defamation are discussed. AcknowledgmentsThe author thanks Enrique Armijo and Amy Kristin Sanders for insightful comments. Data collection was supported by grants from the Milwaukee Journal Foundation and the Menard Center for the Study of Institutions and Innovation at the University of Wisconsin–Stout.
Development and Validation of a Creative Confluence Teaching Competence Test for Korean Language Teachers

The purpose of this study is to develop and validate a test to measure the creative confluence teaching competency of Korean language teachers. Therefore, the components and sub-variables of the creative confluence teaching competency that Korean language teachers should have were derived and completed through the validation process. First, the concept and components of the Korean language teacher's creative confluence teaching competency, which was first derived through FGI, were identified. Second, the validity of the components (four competency groups, seven competencies 12 sub-competency) and 34 measurement items were confirmed through the expert content validity. Third, the data of 200 students collected from Korean teachers were processed by exploratory factor analysis (EFA) and the data of 202 students was analyzed by confirmatory factor analysis (CFA). As a result of this study, the statistical fitness level of the measurement model was confirmed, and the construct validity was secured by confirming the convergent validity and discriminant validity. Cross-validity between sex, age and group of affiliation was also identified. Therefore, the test of the Korean language teacher's creative confluence teaching competency developed in this study was confirmed to be four competency groups: the Korean language teacher's creative confluence expertise, the creative confluence Korean language class design competence, the creative confluence Korean language class execution competence, and the creative confluence Korean language class evaluation competence.
Correlation Discriminator of Signals in the Class of Fast Neural Networks

The paper presents methods for constructing topology and parametric training of fast neural networks (FNN) for tasks of signal correlation measurements. A mathematical model of the FNN is described. The connection of fast algorithms with self-similar structures is noted. A method of multiplicative representation of arbitrary discrete functions is shown. Algorithms for constructing the FNN topology and training for implementing a correlation discriminator of signals are proposed.
Placing Trust in Automated Software Development Processes

Automation of certain aspects of software development and maintenance help us achieve our software-productivity goals, but we need to consider the trust we can place in that automation.
PREDIKSI OPTIMASI DIMENSI BALOK KOLOM BANGUNAN MASJID DENGAN METODE ARTIFIAL NEURAL NETWORK

Indonesia is the confluence of three of the world's major plates, therefore a lot of plate activity occurs so that earthquake intensity often occurs. The earthquake resulted in many casualties, this is because many building structures do not meet the requirements of earthquake-resistant buildings. The structure of mosque buildings in Lombok has many towering mosque towers. Many mosque buildings in Lombok do not apply the earthquake-resistant building principle, namely strong column weak beam, so that the average mosque building collapses is the soft story type. The research method used to optimize the dimensions of the columnar beam in this study there are two methods, namely optimization using SAP 2000 and then optimization using Artificial Neural Network (ANN) modeling. The empirical equations obtained are three equations, namely the equation of a beam, a square column and a circle column. The percentage of error that occurs in the use of the empirical formula is 0.88%, so that the equation can be used to perform dimensional prediction calculations with different variations.
A Peek Behind a Veil of Anonymity: An Addendum

In 2018, we pointed out in a paper in BioScience (Tanghe and Kestemont 2018) that a stylometric analysis of two early-nineteenth century anonymous papers tentatively confirmed the identity of their suspected authors: the writing style of these two naturalists matched better that of the anonymous papers than the writing style of a small group of other possible authors. These two papers were published in the Edinburgh New Philosophical Journal (ENPJ) in 1826 and 1827, respectively, and are historically highly relevant, since they proposed or ­seemingly suggested an evolutionary solution to the then mysterious question of the origin of new species. Several scholars believed that the 1826 paper was written by the editor of the ENPJ, Regius Professor of Natural History Robert Jameson (1774–1854). The Edinburgh historian Bill Jenkins suggested that the author of the 1827 paper was Ami Boué (1794–1881), an Austrian geologist of French–German origin. Recently, Pietro Corsi (2021) has discovered that these papers were, in fact, English translations of texts that were published originally in German and in French, respectively. Their authors were the Swiss physician and politician Albrecht Rengger (1764–1835) and the French naturalist Baron André Étienne d'Audebert de Férussac (1786–1836).