Reviewerly/exHarmony huggingface dataset:
Ursula Bellugi: Groundbreaking language scientist (1931–2022)

Microbial communities are found throughout the biosphere, from human guts to glaciers, from soil to activated sludge. Understanding the statistical properties of such diverse communities can pave the way to elucidate the common mechanisms ...Multiple ecological forces act together to shape the composition of microbial communities. Phyloecology approaches—which combine phylogenetic relationships between species with community ecology—have the potential to disentangle such forces but are often ...
From capturing the embodied social experience to music composition: data as mediation

This work presents the first steps of a journey from capturing the embodied social experience to creating contemporary sound art through digital means. In the framework of the Transition to 8 project, residents of the Greek City of Eleusis expressed their feelings and perspectives on the social issues of their community through organized sociodrama sessions. The participants used wearable technology, resembling that of smart-watches, that enables the recording of various bodily data, such as heart rate, temperature, and skin conductance (affiliated with emotional arousal). The data collected are organised and analysed by applying a mixed-methods approach, and shared with artists to be used as inspiration and source material for their artistic productions. In Transition to 8 project we aim to build a platform and methodology that uses data as a means to communicate local social issues and citizen perspectives to an international community of artists. As a proof of concept one sound composition has been created so far, as an artistic piece, to guide this process, while the development of the platform and further experimentation are still an ongoing endeavor.
A cloud GIS-based framework implementation in developing countries

Cloud computing technology has successful cost savings, business effectiveness, and higher scalability in various fields, including the government field. The pandemic Covid-19 era has been accelerating the adoption of cloud technology; the enterprises have instructed the employees to work from home to reduce transmission. The cloud-based framework for government in developing countries was developed. However, it was arduous to apply in Indonesia as a developing country, especially in areas where technology infrastructure, human resources, and funding are insufficient. Thus, the study of the cloud implementation framework in developing countries is essential. This paper used the enterprise architecture planning method for designing a cloud GIS-based framework. The developed framework successfully implemented the cloud-based GIS technology in Indonesia with limited ownership and infrastructure of technology, resources, and funding.
A 1-Msps 500-Node FORCE Learning Accelerator for Reservoir Computing

A major issue in the conventional First-Order Reduced and Controlled Error (FORCE) learning architecture is the low processing speed due to extensive matrix-vector calculations for learning. In this study, we present the field programmable gate array architecture of FORCE learning that achieves the processing of 1-Msps 500-Node data. As a result, the learning was accomplished approximately 3,400 times faster while maintaining the original accuracy in a simulation under specified conditions.
Search Engine Optimization : An overview

In today’s world internet is growing with each passing day. Data is very huge and complex. To sort and manage this huge amount of data over large database search engine plays a very important role. Google is the basic and most widely used search engine through which we can optimize the website. With the help of search engine, we can actively gather the visitors to our site. Search engine is the most common part of our daily life. Because of this reason, a search engine plays a very important role as people can search and explore or find according to their needs.
Research on Individual Identification of Radar Emitter Based on Multi-domain Features

Individual identification of radar emitter is an essential part in electronic warfare. With the increasing complexity of electromagnetic environment and the rapid development of electronic equipment technology, the feature extraction method based on traditional pulse descriptor has been unable to perfectly meet the requirements of current emitter identification. Based on real radar emitter signal and combined with signal transform feature extraction and automatic feature extraction of autoencoder, this paper proposes a method of extracting intra-pulse features of radar emitter based on bispectrum, wavelet packet decomposition and time-domain statistical features. Decision tree, KNN and SVM algorithms are used to classify the radar emitter based on the extracted signal features, and classification accuracy of decision tree is close to 95%, which means the individual identification of radar emitter is realized perfectly.
Preface

International Conference on Advances in Earth and Environmental Studies (AEES 2022) February 25 th - 26 th , 2022 National Institute of Technology (NIT) Raipur is delighted to introduce the IOP conference series International Conference on “Advances in Earth and Environmental Studies (AEES 2022)” from 25 th to 26 th February 2022 in virtual mode. It was jointly organized by the Department of Applied Geology, Department of Information Technology (IT), and Department of Civil Engineering of NIT Raipur. Earth and Environmental studies are essential as the whole world is facing problems related to different types of pollution. To mitigate the pollution on our Earth, such research will play a vital role consequently, these studies will add a new and better application of tools and techniques in order to mitigate pollution and make our surroundings healthy, clean and green. The conference aimed to provide a forum for researchers, practitioners, and professionals from the industry and academia to share their research findings and the current trend of research in the field. Topics like Earth Processes, Structure, Tectonics, Crustal evolution, Petrology and Geochemistry, Ore Farming processes, Economic Potential of Rocks, Mineral Exploration, Mineral Processing, Waste Management, Hydrogeology and its Management, Environmental Pollution, Geological processes and Anthropogenic activities affecting Environment, Mining and Geotechnical Engineering, Remote Sensing &amp; GIS Applications, Geoinformatics and Physical Geology, Medical Geology are in the scope of the conference. List of Editors, Technical Program, Advisory and Technical Committee, Organizing Committee, Student Chairs are available in the pdf
University Students’ Engagement with Devices and Technology

In this paper, through the replication of a pre-COVID-19 research project, we seek to test and compare first-year Australian university students’ study and private uses of technology; compare the desires and capacities of different cohorts (Law and Justice vs Engineering) for technology use; and identify any impacts arising from COVID-19 to their learning experiences. Quantitative and qualitative data, collected by an online questionnaire, identified that, while some participants had more experience with different technologies, there were limited differences between the cohorts’ willingness to use, and their use of, technology for study purposes. Concerns expressed by participants related to where, when, and for what purpose technology was used. Participants all had access to a smart phone, and almost all used a laptop for study purposes. The results suggest the combination of online or pre-recorded lectures and synchronous (either face-to-face or online) tutorials was the most favoured option. While participants were comfortable with the use of technology in teaching and learning, they were wary about using such tools for private communications; however, Zoom and Microsoft Teams, appeared to be in common use. The results confirm the need for a broader and more in-depth understanding of students’ technology uses, needs, and desires.
Research on the Risk Identification Index System of Software Project

The risk management is a very essential part in software development process. Comparing to the normal projects, there is much more uncertainty in software projects. The software project urgently needs to strengthen the risk management, which mainly displays in the following two aspects: firstly, the risk management is the internal request in various project groups. As a result of the rapid development in software technology and the widespread application of software system in various social aspects, each kind of risk factors and the risk occurrence have greatly increased, and the loss scale that the risk event created has expanded. All these issues have proposed higher management requests for the project groups. Secondly, the unceasing improvement of risk management method and the successful application on many typical projects have attracted many software project groups to carry on their own risk management. Currently, the risk management has overcome the limitation of traditional methods that only adopt some single measure to deal with risks. While, the current risk management comprehensively utilizes each kind of control risk measures, and improve these methods day by day. However, in software development process, Risk Identification, Risk Assessment are the key elements assuring project success. This paper is designed to reconstruct the risk identification system of software projects from the perspective of nine fields of project management.
Using Anova and Anfis Approaches in Statistical Modeling of Agricultural Experiments

Adaptive Neuro-Fuzzy Inference System (ANFIS) can analyze the factors and factor levels affecting the subject of interest in many branches such as technology, production, health, social and education, depending on the many rules it creates and with a very small experimental error (RMSE). and modelling. It is also applied in the field of agriculture, especially for the solution of problems such as agricultural field selection or technological product development. On the other hand, classical statistical methods are generally used in due diligence studies in a certain time period, such as product cultivation. Experimental design methods or in other words analysis of variance (ANOVA) methods come first among these methods. With the experiments modeled by ANOVA, the factors affecting the subject of interest and the levels of these factors are analyzed according to a single rule of the method used. Since the Root Mean Square Error (RMSE) of the model formed by the multiple rules of ANFIS versus the single rule of ANOVA is much smaller, it gives stronger results. Modeling agricultural products with ANFIS depending on time will support data mining studies in this field. In this study, first both ANOVA and ANFIS methods were briefly explained, and then the data of a due diligence study carried out in agriculture were modeled by both methods and similar findings were obtained. However, mostly the standard deviation (RMSE) values of ANFIS were found to be smaller than ANOVA. In addition, the relationships between ANFIS outputs and real measurements were examined.
Intelligent System of Scientific and Technological Talent Inquiry Based on Deep Learning Algorithm

With the rapid development of the socialist market economy, scientific and technological talents play a vital role in all aspects of our country’s socialist economic development and social progress. In recent years, with the widespread application of e-government projects in various administrative agencies, business service efficiency and other aspects have been significantly improved. Despite the relatively rapid changes in corporate growth, many employers may still be unable to recruit ideal scientific and technological talents that can help companies survive and develop. In order to better absorb and introduce scientific and technological talents, creating an intelligent system for scientific and technological talents has become an inevitable trend in the development of modern scientific and technological talent management technology. This paper aims to study the intelligent system of scientific and technological talents query based on deep learning algorithms. Based on the analysis of system requirements, non-functional requirements and deep learning algorithms, the functional modules of the intelligent system of scientific and technological talents query are designed and implemented, and finally tested. The performance of the system and the test results show that the intelligent system designed in this paper is available.
Keyword extraction and summarization from unstructured text: A case study with open data from legal domain

Information Extraction (IE) is an important and crucial task in the world of web and open data.IE is achieved using Natural language Processing (NLP).There are various techniques used for extraction of information, however coming up with useful and meaningful information is the most important task.Many search engines rely heavily on IE.This paper focuses on entity extraction of named entities from natural language and converting them into knowledge graph of triples.The goal is to answer two types of queries (i) Keyword search that returns exact information; (ii) Summarization of a keyword in question.A case study using open data from legal domain is presented.
PENELITIAN ASAS NUMERASI DALAM LAGU RAKYAT KANAK-KANAK DUSUN BUNDU SEBAGAI ASAS PEMBELAJARAN MATEMATIK [BASIC RESEARCH OF NUMERACY IN CHILDREN’S FOLK SONGS OF THE DUSUN BUNDU AS A BASIC OF MATHEMATICS LEARNING]

Children's folk songs are part of the oral literature of the Dusun Bundu. Nowadays, children's folk songs are increasingly difficult to hear. A study of Kadazandusun language in primary and secondary school textbooks found that folk songs are very poorly included. This situation is a loss to students who take the Kadazandusun Language subject because folk songs have cross-curricular elements, especially in mathematics. The objective of this study is to identify the basis of numeracy in several folk songs of Dusun Bundu children. Qualitative research is used by collecting data in the field through interview and observation methods. There are four folk songs used as analysis material. The folk songs were written in the form of verbatim texts before being analysed descriptively to clarify the objectives of the study. The results of the study found that all four folk songs of Dusun Bundu children have numeracy concepts such as kolondiso/isodin (one), kolonduo/duodin (two), lontu-lontu/tolukati (three), kaparangkat/apatkati (four) and so on. This study can contribute information on the concept of numeracy in the form of folk songs. Learning to use folk songs can encourage children to enjoy mathematics while preserving the cultural heritage of an ethnic group.
How cinema changes social reality: The social impact entertainment

Introduction.The article deals with the analysis of media concepts that describe, justify and reinforce the social influence of the film content. Cinema can change not only social psychology, but directly determine social action, just as advertising determines consumer behavior. Theoretical analysis. The author examines the theoretical and practical origins of the concept of “social impact entertainment”, starting with the theoretical generalizations of M. Sabido and his experience in introducing the concept of “Entertainment-Education” into the production of commercial melodramatic series. The author pays special attention to the rethinking of the Sabido methodology by the American non-profit organization Population Media Center and its modernization. She establishes a range of social problems for which the PMC methodology is effective: prevention and treatment of socially significant diseases, birth control, treatment of addictions, reduction of discriminatory behavior. The structure of the research cycle accompanying the development and distribution of media content produced according to the “social impact entertainment” model leads to a synergy of efforts of higher education, academic researchers, film business, experts and masters of the film industry. Conclusions. The author comes to the conclusion that in the conditions of hybrid media consumption, the “social impact entertainment” model goes beyond the boundaries of cinema and is applied to the development and promotion of content of all mass digital media of an entertainment nature. Documentaries, video content, computer games, streams, TV shows use direct motivation of recipients to be included in specific types of social actions. The integration of ad mechanics into the storytelling narrative of digital content solves a wide range of problems related to social engagement, from adaptation in social movement communities to overcoming fears of novelty.
Theoretical substantiation of the term "visual literacy" in the context of the digitalization of society

Introduction. Nowadays there is a tendency towards more critical and creative use of digital graphic elements for educational purposes. Modern generation of students and schoolchildren was born in the era of social networks, digital technologies and touch screens and now they live through visual content. However, being technically knowledgeable, modern information users are visually illiterate and easily fall for «fakes» and media provocations. This article considers the conceptual construct associated with the subject of visual literacy, including visual culture, visualization of information, visualization, etc. Based on publications indexed in the RSCI, theoretical analysis was made on the basis of a historical-logical approach and the empirica l analysis (quantitative and meaningful). According to theoretical analysis, we made conclusions about the structure, aspects, and main components of visual literacy in foreign literature. The article gives the definition of the term visual literacy. Empirical analysis of Russian research fund proved the “peak” level of interest to this topic. The author explains the reason for such high interest and makes assumptions about the further research topics. Conclusions. It is concluded that the development of visual literacy has a fundamental importance for an effective strategy of the modern education system development.
From the Editor: The Next Generation

Sorry, Star Trek fans, the TV series is not the topic of interest here. Instead, the starting of the fourth decade of Interface calls for not only looking back, but also looking forward. I looked back in the Spring 2022 editorial, with a sneak peek of the future of an all-digital Interface. I am happy to note that the print-on-demand option has already been a big hit for those with the continued desire for a tactile reading experience, not to mention the best-looking covers for displays on coffee tables worldwide. Now is the time to look forward and start involving the next generation of members across all the activities of the Society.
The inconsistency of documentation: a study of online C standard library documents

Abstract The C standard libraries are basic function libraries standardized by the C language. Programmers usually refer to their API documentation provided by third-party websites. Unfortunately, these documents are not necessarily complete or accurate, especially for constraint sentences of API usage, which are called Security Specifications (SSs). SS issues can prevent programmers from following obligatory constraints, which results in API misuse vulnerabilities. Previous work studying SS issues could only find certain types of inaccurate SSs through checking the compliance between API usage and existing SSs. Therefore, we propose a novel approach SSeeker for quickly discovering missing and inaccurate SSs through the inconsistency of semantically similar SSs. More specifically, SSeeker first completes broken sentences and discovers SSs from them by judging their constraint sentiment. Then SSeeker puts semantically similar SSs from different sources into a group, which can be used to discover missing or inaccurate SSs. With the help of SSeeker, we investigated 4 popular online third-party C standard library documents, studied their conformity with the C99 standard, analyzed their APIs and SSs, and discovered 92 prototype issues, 15 web page issues, and 96 SS issues.
臺灣與馬來西亞教保服務人員對幼兒性不當對待防治的認知與實踐跨國比較

&lt;p&gt;本研究旨在探討臺灣與馬來西亞教保服務人員，對幼兒性不當對待防治認知與實踐的表現及差異。首先訪談2位臺灣教保服務人員，根據訪談結果與相關文獻，初擬問卷24題，接著請2位臺灣、4位馬來西亞學術與實務工作者進行專家審核以建立效度。隨後對51位臺灣與53位馬來西亞教保服務人員進行預試，以項目分析、雙變數相關分析、信度分析、因素分析進行刪題，以Cronbach &amp;alpha;進行信度考驗，形成24題正式問卷，之後對471位臺灣與353位馬來西亞教保服務人員進行正式施測。研究結果發現：兩國教保服務人員，在幼兒性不當對待防治的認知與實踐存在差異；且臺灣的認知與實踐皆優於馬來西亞。根據研究結果，事後訪談4位教保服務人員，補充造成該結果的原因。本研究提出相關建議，供教育行政單位與未來相關研究參考。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;This study examined the performances and differences between Taiwanese and Malaysian preschool educators in their cognition and practice of prevention and treatment of child sexual abuse, especially for preschoolers. We initially interviewed two Taiwanese preschool educators. Based on the interview results and related literature, a preliminary 24-item questionnaire was drafted, and then two Taiwanese and four Malaysian academics and practitioners were invited to participate in expert validity. A preliminary test was conducted on 51 Taiwanese and 53 Malaysian preschool educators. Through an item analysis, bivariate correlation analysis, reliability analysis, and factor analysis, some items in the questionnaire&amp;nbsp; were deleted. A formal 24-item questionnaire was developed using Cronbach&amp;rsquo;s alpha tests for further reliability verification. Subsequently, a formal survey was conducted on 471 Taiwanese and 353 Malaysian preschool educators. The research results reveal that preschool educators in both countries showed differences between their cognition and practice in the prevention and treatment regarding child sexual abuse. In addition, Taiwanese preschool educators demonstrated a better performance than their Malaysian counterparts in both cognition and practice. According to the results of the study, four preschool educators were interviewed afterward to add to the reasons of such results. Suggestions for the promotion of preventing children&amp;rsquo;s sexual abuse were offered in terms of subjects, the combination of teaching and researching for university teachers, and future research.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
BUMBLE BEE OPTIMIZATION ALGORITHM BASED OPTIMIZED DATA HIDING FOR IMAGE STEGANOGRAPHY

The most important aspect of all forms of confidential communication is security. Although cryptography can be used to safeguard information, it also reveals the presence of covert communication. As a result, steganography, the art of secret communication, was devised. Steganography conceals the presence of covert communication by putting the secret information in a cover image. The inserting process generates the variability in the cover image that negatively impact the imperceptibility parameter. In this paper, we have designed an optimized data hiding method based on bumble bee optimization algorithm. The bumble bee optimization algorithm searches the optimal secret data order before data hiding. After determining the optimal secret data order, the data hiding is achieved using least significant bit (LSB) method. Besides that, in the proposed method, optimal cover image is also chosen by determining the 0’s and 1’s probability in the LSB of the cover image. The performance evaluation of the proposed method is done on five standard dataset images and performance evaluation is done using mean square error (MSE), peak signal to noise ratio (PSNR), and embedding capacity (EC). The result shows that the proposed method reduces the MSE and enhances the PSNR without impacting the embedding capacity.