Reviewerly/exHarmony huggingface dataset:
The use of online teaching tools in the Tourism Master of the University of Huelva after the COVID-19 pandemic

This study points out the factors to be taken into account so that the professors of the Master’s Degree in Tourism at the University of Huelva do not stop using online teaching tools in their training process after the COVID-19 pandemic, since some of which can enrich face-to-face teaching. A causal analysis was carried out through fuzzy cognitive maps and the results obtained indicated that if it is intended that these teachers continue using these tools, from the direction of the master’s degree they must be allowed to use them and facilitate their use, sending them training courses on these tools, giving them accessibility to this type of tools and allowing them to use them if they require it.
Student perceptions of the virtualization of teaching by COVID-19: the case of the Master’s Degree in Tourism at the University of Huelva

The virtualization of the Tourism Master’s Degree at the University of Huelva during the COVID-19 pandemic was a success and this study analyzed the key factors in this successful virtualization, according to the perception of its students. For this, it was decided to carry out a causal analysis using the methodology of fuzzy cognitive maps and the results achieved glimpsed the role of the teacher in this success.
Toward an European central bank digital currency

Increasing dissemination of private digital money forced central banks worldwide to foster projects for central bank digital currencies (CBDCs) development. Some small economies just use forms of CBDCs, like Bahamas, Cambodia or Venezuela, while others run pilot projects for future introduction, like China. Also European Central Bank policy, previously a CBDC detractor, evolved to a supporting position during pandemic in 2021. Along with internal analysis projects for exploration of potential digital currency designs, in 2021, ECB finished public consultation that revealed positive opinions of economic actors and stakeholders about future introduction. The chapter analyses in front of monetary theory potential designs of a digital eurowith respect to monetary characteristics, payment systems and innovation aspects. It outlines the CBDC function a game-changer in monetary and financial systems. From this derive chances for social welfare generation but also risks for public and private actors. Prevailing incentives considered, the chapter assumes future designs of digital euro rather as supplement to banknotes and coins, thereby preserving ECB’s control power on monetary transmission process.
Issue of central bank digital currencies – potential consequences for the shape of the financial system

Recently, the debate on the financial system is dominated by issues relating to the influence of modern technologies. One of the financial innovations that are spreading around the globe is digital currencies. In this technological race (where the power over the financial system is at stake), also central banks want to take part – by issuing central bank digital currencies (CBDCs). Nevertheless, such a solution may deeply influence the whole financial system. The aim of the chapter is to enumerate the potential consequences of the CBDC for the financial institutions and financial safety nets. For that purpose, critical analysis of CBDCs features was conducted (under two scenarios). For each scenario, potential risks and benefits were analysed for central banks themselves, financial institutions and financial safety net authorities. The analysis shows that especially CBDCs with features different from cash (CBDCs structured more as policy tool) have the potential to tremendously change the landscape of the financial system.
Preface: 4th International Conference on Material Science, Environment Science and Computer Science (MSESCS 2022)

The 2022 4th International Conference on Material Science, Environment Science and Computer Science (MSESCS 2022) is traditionally held in the Guangzhou, China. The organizing committee sincerely hopes that the conference helped to attract young scientists to solve urgent scientific problems. It is one of the leading international conferences for presenting novel and fundamental advances in the fields of material science, environment science and computer science. The conference was held online during September 10-11, 2022 due to the pandemic, and more than 60 people attended the meeting.&#x0D; The idea of MSESCS 2022 is for the scientists, scholars, engineers and students from the universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the universities and the industry. This conference is expected to establish further research collaboration and define the platform for the future research direction.&#x0D; MSESCS 2022 covers a variety of topics related to planning, design, operation, management and maintenance of materials and computing engineering. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. The proceedings contain more than 40 papers grouped by topics.&#x0D; The scientific committee of the conference highly appreciates the great work of the editorial board and reviewers in preparing this volume. We would like to express our sincere gratitude to all authors for their research contributions, and also to the organizers of the conference for their valuable spadework.&#x0D; MSESCS Scientific Committee&#x0D; Guangzhou, China
The Use of Communicative Language Teaching (CLT) Method in Improving Students’ English Vocabulary

This study aims to determine whether the CLT method improves students' English vocabulary mastery before and after learning using the CLT method. This is a quantitative study with a pre-experimental design. In this research design, the researcher only uses one class as an experimental class which was given treatment in the form of vocabulary learning using the CLT method. However, before the treatment was given, students would be given a test in the form of a pre-test and post-test that aimed to see the effect of the CLT method in improving students' vocabulary skills. The data from the test was collected and then the data was analyzed through descriptive statistics. The population used was all students of SMP Negeri 50 Halmahera Selatan and all were selected as samples in this study. The instrument used to collect quantitative data in this study was a vocabulary test. This test is in the form of multiple choice consisting of 30 question items. Tests distributed before and after the treatment were given as pre-test and post-test. In addition to comparing the significance value (Sig.) with a probability of 0.05, the authors also compared the t-count value with the t-table to test the hypothesis that had been made previously. The t count based on the result of paired sample test is 38,076 and the t table based on the value of df (34) is 2,042. This shows that the value of t arithmetic (37.769) &gt; t table (2.042) it can be concluded that H0 is rejected and Ha is accepted. In other words, there is an average difference between the learning outcomes of the pre-test and post-test, which means the CLT method improves the students’ English vocabulary at SMP Negeri 50 Halmahera Selatan.
BIOMETRIC BASED ELECTRIC VEHICLE WITH GPS AND GSM TECHNOLOGY

In this current world where technology is growing up day by day and scientific researchers are presenting new era of discoveries, the need for security is also increasing in all areas.Currently, vehicle use is essential for all requirements.At the same time, it is also important to protect the vehicle from theft.Old vehicle safety system depends on several sensors and the value is additionally high.Once the vehicle is emptied, no amount of reaction or different can be on the market to help the owner of the vehicle look it back.If the vehicle is stolen, the owner of the vehicle will not have any answers or options to help find it.The main purpose of this document is to protect the vehicle from unauthorized access using fast, easy and cost-efficient fingerprint recognition technology.The safety system of the vehicle will provide the authorities (owners) with an assessment of the state of the vehicle using the Global Mobile Communications Technology System (MTS).If the person is certified, access to the vehicle will be allowed.The SMS will be sent to the owner and the engine will be immovable.The battery is either supplied or not.
Investigation into the suitability of kinect sensor for automated body measurement

Due to the low cost and wide availability of the Kinect sensor, researchers and experts in the field of anthropometry, sizing and clothing fiting are leveraging on its inbuilt 3D camera to develop systems for automated body measurement. This study focuses on the evaluation of the Microsoft Kinect (V1) sensor to determine its suitability for automated body measurement. The study was conducted by data collection of various body dimensions of test subjects using a measuring tape as a reference. Furthermore, a statistical approach known as the measurement system analysis was used to investigate the sensor's capability to produce accurate, reliable and consistent body measurements. The results obtained shows indicates that there exists very little variation when the measurement is repeated. Also, the instrument is relatively stable, with minimal bias which can be corrected by calibration. The outcome of the study proves the effectiveness of the Microsoft Kinect sensor as a means of conducting body measurement.
Fine-Grained High-Utility Dynamic Fingerprinting Extraction for Network Traffic Analysis

Previous network feature extraction methods used for network anomaly detection have some problems, such as being unable to extract features from the original network traffic, or that they can only extract coarse-grained features, as well as that they are highly dependent on manual analysis. To solve these problems, this paper proposes a fine-grained and highly practical dynamic application fingerprint extraction method. By putting forward a fine-grained high-utility dynamic fingerprinting (Huf) algorithm to build a Huf-Tree based on the N-gram (every substring of a larger string, of a fixed length n) model, combining it with the network traffic segment-IP address transition (IAT) method to achieve dynamic application fingerprint extraction, and through the utility of fingerprint, the calculation was performed to obtain a more valuable fingerprint, to achieve fine-grained and efficient flow characteristic extraction, and to solve the problem of this method being highly dependent on manual analysis. The experimental results show that the Huf algorithm can realize the dynamic application of fingerprint extraction and solve the existing problems.
A Comparative Analysis of Convolutional Neural Networks for Trash Classification

In the era of the twenty-first century, automation is the biggest fi eld of research. Although several works have been done successfully, there is still so much to do. Increasing trash could be the biggest threat to a better human life in the future. To automate the task, machines need to understand the type of trash to be recycled or separate similar trash for recycling. For this process, the perfect classi cation of trash plays a vital role in making a better life and a cleaner world. There are so many popular convolutional neural network (CNN) models for image classi cation. In this work, we examine and analyze the outcomes of several Residual Network(ResNet) and Visual Geometry Group (VGG) CNN models on a trash dataset. Our main investigation is the accuracy evaluation for different VGG and ResNet models where the training dataset, test dataset, number of epochs, and batch size are the same for all the models. Finally, we compare VGG and ResNet models with each other. We have got the peak accuracy for ResNet152 among all ResNet models and the peak accuracy on VGG16 among all VGG models. And we have got the maximum accuracy on ResNet152 among all the ResNet and VGG models which is about 94%. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 17-23
READING, WRITING AND COMPREHENSION IN DEAF CHILDREN OF THE ADVERBIAL CLAUSE OF PLACE IN WRITTEN FORM

Writing is an integral part of linguistic education of deaf persons which, due to the lack of auditorysensors, has an insurmountable difficulty achieving, so this shortcoming is directly reflected in the general literacyof deaf children. Many detailed studies in the world suggest that in order to become literate, a deaf child must learnthe language of the community. Je/she must first learn the letters and learn to write. About 50% of young deafpeople after high school read and write worse than a ten-year-old hearing child. The aim of this research is toexamine the usage, reading, writing, and comprehension in deaf children of the adverbial clause of place in writtenform and to determine the statistical significance of differences between deaf and hearing children. The study wasconducted on a sample of 140 respondents. The first subsample of subjects, the experimental group consisted of 70deaf students, and the second subsample, a control group of 70 hearing students, of the same chronological age. Themeasurement instrument “Test of writing, and comprehension of an adverbial clause of place” was applied. Thefrequencies and percentages of respondents' responses to the variables were calculated. The F (Fisher) test was usedto determine the statistical significance of the differences between deaf and hearing subjects. The results showed that1.40 % of deaf children are completely successful in reading and writing priloske odredbe, and thaat 90 % of deafchildren use prislocke odredbe partially successfully. The percentage of children that do not use priloske odredbe inany form in their written communication is 8.60%. The order of use of adverbial clause of place by frequency is asfollows: "in", "on", "below", "behind", "next to", and "between". The largest number of deaf children use theadverbial clause of place "in" in their written expression, 65.70% of them. Then, the adverbial clause of place "on"51.14%, the adverbial clause of place "below" 47.14%, the adverbial clause of place "behind" 31.43%, the adverbialclause of place "beside" 30%, and the adverbial clause of place "between" 22.85%.There is a statistically significant difference between deaf and hearing children in the use of the adverbial clause ofplace at the level of statistical significance of p=0.000.
Using Machine Learning Techniques to Predict Nitrate Nitrogen in Soi

This paper presents multinomial logistic regression and neural network models that allow predicting and thereby quickly determining the content of nitrate nitrogen in the 0-40 cm soil layer before sowing. To train the models, we used the data of a long-term multifactorial field experiment of the Siberian Research Institute of Agriculture and Chemistry of the Siberian Federal Scientific Research Center of the Russian Academy of Sciences for 2009-2018, established in 1981 on leached chernozem in the OS "Elitnaya" - a branch of the Siberian Federal Scientific Research Center of the Russian Academy of Sciences. Taking into account the features of the statistical sample (observation data and analyses), the main predictors of the models that affect the content of nitrate nitrogen in the soil (target indicator) are determined, they are presented qualitative (predecessor, tillage) and quantitative (weather conditions and the content of productive moisture before sowing in the layer 0-100 cm) by factors with appropriate gradations. The models showed a fairly high reliability when verified on empirical data and can be used as a tool for forecasting. The quality of the developed multinomial logistic regression model was assessed using the coefficient of determination, which was 78% according to the Nagelkerke measure, and 72% according to the Coxsei Snell measure. To determine the predictive ability of the neural network, an ROC analysis was carried out, which showed that the area under the ROC curve for each category of the target indicator was close to 1, which indicates a high predictive power of this method. A comparative assessment of the predictive capabilities of the trained models was carried out. The overall proportion of correct predictions for multinomial logistic regression is 80.6%, in the neural network model 89.5%. Keywords: MULTINOMIAL LOGISTIC REGRESSION, NEURAL NETWORK, NITRATE NITROGEN, SOIL
Reading and Writing Ability of Dyslexic Students Through Simultaneous Multisensory Teaching (SMT) Method

ABSTRACTThe purpose of this study is to analyze the use of the Simultaneous Multisensory Teaching method (SMT) on improving reading and writing skills of dyslexic students . Students with dyslexia in addition to having difficulty in writing, also generally have difficulty in reading and mentioning a letter, word, and sentence, and often reverse in writing and mentioning letters. One of the methods recommended by International Dyslexia Association (IDA) in improving reading and writing skills of dyslexic students is the Simultaneous Multisensory Teaching (SMT) method. SMT is a special method for students with dyslexia. The learning process goes through special stages to develop students' abilities by optimizing several senses in an integrated manner. The subjects in this study were single participants, namely students with dyslexia with the initials AMJ , who were Grade IV students at SDN 1 Pasirlangkap, Cikidang District, Sukabumi Regency . This research uses an approach qualitative with descriptive method . Data collection techniques using interviews, observation, and documentation. Data analysis techniques consist of: 1) data reduction, 2) data presentation, and 3) drawing conclusions. The results showed that gradually the students' reading and writing abilities began to improve by using the SMT method . The ability to recognize letters that are often confused has begun to be mastered, both in pronunciation while reading and writing. Similarly, reading and writing words and sentences, there has been a change compared to the initial observations, which tend to have a lot of writing errors. Based on this, it can be concluded that the use of the SMT method can improve the reading and writing skills of dyslexic students.
Kebijakan Bahasa dalam Lanskap Linguistik di Era Super-Diversity: Bahasa Asing (Bahasa Inggris) di Ruang Publik

This conceptual paper presents a literature review of language landscape studies on the interaction of multilingualism, multiculturalism, and globalization in the reality of English learning education (ESL). Language has a great influence on human life through the forms of expression it conveys. Likewise in the social life of the wider community in general. In addition, language also plays an important role. In addition, the central government has rules and guidelines that affect local governments. The same applies to government language policies. Language policy is followed by language planning, which leads to social change. The areas of language policy include education, economics, politics, regional languages ​​and literature, and law. All of that is inseparable from the language policies regulated by the governments of each country or region that use the language environment in the public sphere. Therefore, English cannot be used without another language, although it is subject to national and regional language policies. As a result, the use of English in public places requires the use of language equivalents in multilingual public forms, both in historical and cultural contexts, such as signage. However, because the unit of analysis in the linguistic landscape is the symbol, it provides the linguistic context of a particular region (roads, villages, buildings, countries, and environments), the linguistic landscape in this social conception, or the diversity of populations. English cannot be the only language used to represent signs. In the public sphere, taking into account the rise of bilingualism, the dominance of the national language, and a common language policy. However, the diversity of English is still growing. In short, English as used in this study of the linguistic landscape in the public sphere is a contradiction between language practice and language policy, and public understanding.&#x0D; Keywords: Language Policy, Linguistic Landscape, Era of Super Diversity, Foreign Languages (English).
Security of Information Systems and Infrastructure Against Emerging Cyber Threats

Abstract: The information technology revolution that has been occurring over the last three decades has subtly altered how commercial and government activities are conducted worldwide. We have seen the incredible development of the commercial Internet over the past twenty years, which laid the seed for a worldwide, linked digital network that has enabled everything from online banking and commerce to telemedicine and social networks accessible and commonplace. Without taking into account cyber newline security, modern nations all over the world have moved the control of crucial activities in industry, utilities, banking, transportation, and newline communication to networked computers. As a result, there was tremendous output with little expenditures. The move to networked systems is still on the rise. Today, information technology and the newline information infrastructure are absolutely necessary for both our economic and our security. Cyberspace, industrial control systems, and newline information technology are required for the security and efficient operation of India's critical infrastructure, which includes the nation's energy, banking and finance, transportation, communication, and newline base for the defence industry. These systems are susceptible to disruption or exploitation. Organized cyberattacks on our infrastructure may be launched from a newline distance thanks to the cyber newline space. This study was conducted to examine the current situation of developing cyberthreats and ensuing cyberattacks, as well as the efforts taken by different organisations to reduce risk and safeguard their newline information systems and information infrastructure.
Accessible Library – Integrated Information Systems and Modern Facilities for Users at the Main Library of the University of Life Sciences in Lublin

The article presents new elements of the IT infrastructure of the University of Life Sciences in Lublin implemented in the years 2020 and 2021. The following aspects are presented: the university’s knowledge base – the Open Educational Portal and its individual modules, the new library system Koha – the implementation and functionality for the librarian and the user are described, modern facilities for the user, which made the library space more attractive and modernized.