Reviewerly/exHarmony huggingface dataset:
Securing Future Autonomous Applications Using Cyber-Physical Systems and the Internet of Things

The application of internet of things (IoT) is not only in mobile devices and computer applications but it also plays a virtual role in the industrial automations to interconnect smart cars, cities, buildings, electrical grids, homes, gas, and water networks, etc. IoT is emerging as a game changer for automation companies by offering new opportunities in the areas of collapse, streamline, creating system architecture which provides better efficiency, affordability, and responsibility in terms of increasing problem-solving capability, operations, and productivity. The autonomous devices find its applications in many areas such as autonomous vehicles (AVs) (self-driving vehicles), Robo-Taxis, Vehicle Platooning, Autonomous Shops, Weather Forecasting, etc., are at the heart of research areas in the academic as well as in the industrial sectors. This is because the recent autonomous applications have its advantages in a wide spread areas such as reduced congestion, 82improved safety, greater mobility, and lower emissions. Now a days the technology using in an autonomous devices known as internet of autonomous things (IoAT) has gained its foothold in most industrial applications. IoAT technology makes the device capable of functioning independently and interact with machines and human in the surrounding environment to take the decision with the help of computer system. The interaction between the real-time computing elements and physical systems would be accomplished by exploiting recent development in computer science, communication, and information technologies known as cyber-physical systems (CPS). The CPS uses software as a key factor to perform autonomy with the help of algorithms and take critical decisions for the significant performance. The combination of IoT with autonomous systems reduces the dependency on cloud servers, adjust their functions with the help of local information. However, security in automation industries is a growing challenge as a result of the significant increase in reliance of functionalities of semi-autonomous systems, potential attack surfaces, heterogeneity, and interaction of resources in modern infrastructure. Hence, presently solving security issues in on automation has evolving as a real-time problem. This chapter discusses about the various advantages and challenges of CPS and IoT systems in real time autonomous applications and how to overcome security issues related to autonomous applications.
Exploring Anxiety in Learning English During The Emergency Remote Teaching in Islamic Senior High School

Abstrak: Penelitian ini bertujuan untuk mengetahui tingkat kecemasan siswa dan guru SMA islami serta cara mereka dalam mengurangi kecemasan dalam pembelajaran bahasa Inggris selama pengajaran jarak jauh darurat. Metode penelitian campuran menggunakan kuesioner dan panduan wawancara untuk memperoleh data. Peserta penelitian ini adalah 126 siswa dan empat guru bahasa Inggris di MAN 1 Jembrana. Hasil kuesioner menunjukkan skor rata-rata kecemasan siswa adalah 3,25 yang termasuk dalam kategori kecemasan sedang. Sedangkan hasil skor rata-rata kecemasan pada keempat guru bahasa Inggris yang telah disebar menunjukkan skor 1,8 dan termasuk pada kategori kecemasan rendah. Selanjutnya, hasil panduan wawancara terstruktur menunjukkan bahwa siswa merasakan cemas ringan pada pembelajaran bahasa Inggris selama emergency remote teaching sedangkan guru merasa cenderung tenang dan percaya diri. Abstract: This study focuses on knowing the level of anxiety of Islamic high school students and teachers and how they reduce anxiety in learning English during emergency remote teaching. Mixed methods were used with questionnaires and interview guides to obtain data. The participants of this study were 126 students and four English teachers at MAN 1 Jembrana. The results of the questionnaire showed the mean score of students' anxiety was 3,25 which was included in the category of moderate anxiety. Meanwhile, the mean score of the four English teachers who have been distributed shows a score of 1,8 and is included in the category of low anxiety. Furthermore, the results of the structured guide interviews showed that students felt mild anxiety in learning English during emergency distance teaching, while teachers felt relaxed and confident.
Investigation of the awareness of rural students on M-learning using smartphones

The outbreak of the COVID-19 pandemic has led to a sudden transition from face to face to online teaching and learning practices in various parts of the world. Meanwhile, the level of awareness and adoption of mobile learning (M-learning) by means of smartphones in many rural parts of Africa tends to be considered low. The reasons for this include various factors, such as poor access to internet facilities, a lack of funds, the cost of smartphones, amongst others. This study investigates the level of awareness of South African rural higher institution students (SARHISs) on M-learning using smartphones. A quantitative method was adopted for the study. Convenience sampling was used to select the institution and the 75 respondents who took part in the study. Data were collected by means of a questionnaire, entitled “Smartphone questionnaire (SQ)”. The collected data were analysed using the Statistical Package for the Social Sciences (SPSS), Version 25. The findings of the study show that the adoption of M-learning using smartphones by the respondents who are students from the South African Rural Higher Institution (SARHIS) is moderate – a little above the average. Based on the study, it is recommended, that students’ awareness should be raised and that M-learning should be supported given the recent transition from onsite to online teaching and learning practices
Formalization and Modeling of Communication within Multi-Agent Systems Based on Transparent Intensional Logic

Communication is one of the most notable processes in a multi-agent system. For this reason, considerable attention is paid to it—from abstract levels presenting theoretical models describing the basic principles to an implementation level with many details. However, most of these models build on a kind of unchanging basis, which characterizes communication between agents of a multi-agent system as a mutual exchange of messages expressed in a specific language or formal logic system, most often first-order predicate logic. Since most logical systems specialize in a particular area of natural language, the choice of a logical system reduces the communication potential of a multi-agent system. Therefore, we decide to choose the transparent intensional logic, a highly expressive methodology of logical analysis of natural language based on the symmetry between the syntax of expressions and their semantics, which minimizes these limitations and brings a new perspective on the issue of formalization of communication in multi-agent systems. By choosing transparent intensional logic as the central logical apparatus of our solution and postulating the general criterion for the synthesis of the concept of a message, the framework idea of our solution, which is based on hypotheses formulated in the analysis of Singh’s formal theory of communication, we have reached the synthesis of the so-called TIL-Message Formalization System. This system, unlike others based on traditionally used formalisms, simplifies the communication process itself by reducing the level of semantic interpretation of messages formalized by it, and in addition to formalism itself, this system also provides an abstract description of the background of the course of communication, proved by its application on specific examples, by standing out from the order of other formalisms providing only a kind of syntactic standard.
A REFLECTION OF SUSTAINABLE INCLUSIVE GROWTH POST-PANDEMIC AND THE CENTRAL BANK’S CHALLENGES BEYOND STABILITY

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LGBM-CBFS: A Heuristic Feature Sampling Method Based on Tree Ensembles

Gradient boosting decision tree (GBDT) is widely used because of its state-of-art performance in academia, industry, and data science competitions. The efficiency of the model is limited by the overwhelming training cost with the surge of data. A common solution is data reduction by sampling on training data. Current popular implementations of GBDT such as XGBoost and LightGBM both supports cut the search space by using only a random subset of features without any prior knowledge, which is ineffective and may lead the model fail to converge when sampling on a high-dimensional feature space with a small sampling rate assigned. To mitigate this problem, we proposed a heuristic sampling algorithm LGBM-CBFS, which samples features based on an available prior knowledge named “importance scores” to improve the performance and the effectiveness of GBDT. Experimental results indicate that LGBM-CBFS obtains a higher level of model accuracy than uniform sampling without introducing unacceptable time cost in the sparse high-dimensional scenarios.
WOMEN IN AGRICULTURE, TECHNOLOGY ADOPTION AND ENVIRONMENTAL QUALITY IN WEST AFRICA

This paper investigated the relationship between environmental quality and the adoption of technology by women in agriculture in sixteen West African countries over a period of 16 years (2000-2016). The effect of the use of smartphones, laptops, tablets and charging devices on the level of carbon emission was examined. This paper points out that, though the adoption of technology has increased agricultural production, it has also impacted environmental quality in terms of carbon prints and the quality of life of women farmer adopters. This paper adopts the Fixed and Random effect of Hausman’s test method with data from WDI ranging from 2000 to 2016. Female employment in Agriculture (FEA) was 46% of the agricultural workforce. The paper recommends adherence to the 2015 Paris agreement on low carbon emission, which should be properly monitored and carried out by Governments and relevant agencies, investing in eco-friendly sustainable means of electricity and viable means of transportation to reduce the use of fossil fuel.
Development of Haze Removing Hardware Using High-Level Synthesis

We have developed a hardware for low-power and high-speed haze removing to sharpen hazy images in batterypowered embedded image processing systems such as drones.For development, we used HLS (High-Level Synthesis), which automatically converts software into hardware.In this paper, we evaluate the performance and power efficiency of the hardware obtained by high-level synthesis based on the haze removing software developed considering the hardware specifications and show its effectiveness.
An open-access history: the world according to Smits

The Plan S architect, scourge of paywalls, reveals how the policy sausage got made. The Plan S architect, scourge of paywalls, reveals how the policy sausage got made.
An authenticated key management scheme for securing big data environment

&lt;span&gt;If data security issues in a big data environment are considered, then the distribution of keys, their management, and the ability to transfer them between server users in a public channel will be one of the most critical issues that must consider on. In which the importance of keys management may outweigh the importance of the encryption algorithm strength. Therefore, this paper raised a new proposed scheme called (AKMS) that works through two levels of security. First, to concerns how the user communicates with the server with preventing any attempt to penetrate senders/receivers. Second, to make the data sent vague by encrypting it, and unreadable by others except for the concerned receiver, thus the server function be limited only as a passageway for communication between the sender and receiver. In the presented work some concepts discussed related to analysis and evaluation as keys security, data security, public channel transmission, and security isolation inquiry which demonstrated the rich value that AKMS scheme carried. As well, AKMS scheme achieved very satisfactory results about computation cost, communication cost, storage overhead which proved that AKMS scheme is appropriate, secure, and practical to use and protect the user's private data in big data environments.&lt;/span&gt;
Forensic Accounting and Fraud Management in Nigeria

The study evaluated forensic accounting techniques on fraud management in the public sector MDAs in Nigeria. Arising from the rise in corruption in Nigeria evidenced in the Transparency International latest corruption perception index of Nigeria and the fact that the public sector constitutes a larger part of the economy in Nigeria, the study was undertaken to ascertain the operation-ability of forensic accounting techniques in public sector accounting departments. The study investigated Data mining, accounting ratios and trend analysis tools to detect or to prevent fraudulent activities in MDAs. Survey research design was adopted for the study. The study applying multiple regression analysis technique (OLS) revealed the adoption of forensic accounting tools (data mining, accounting ratios and trend analysis) will significantly enhance ability to detect and or prevent fraud in MDAs. Also revealed knowledge gap in the application of these preventive control techniques and the usefulness of trend analysis as a technique for detecting fraudulent practices in public service operations. It is thus recommended to develop the human capital of MDAs by making professional qualification and knowledge of information technology mandatory requirements for staff working in the accounts department and robust IT facilities in each MDA.
САЙТ ВИШУ ЯК ЕЛЕМЕНТ КОМУНІКАЦІЇ

&lt;p&gt;&lt;strong&gt;&lt;em&gt;The purpose&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; of the study is to identify the specifics of using the site of the university as a channel of communication, which provides the formation and implementation of information potential of the institution in the transition to the information society.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Research methodology.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The article is devoted to the problem of growing interest in visualization, which is due to the significant requirements of modern communication. There is no doubt that the «escalation of the image» is not only a qualitatively new process of development of speech communication, but also meets the priority needs of modern youth. In this way, the postmodern world focuses on the visual way of presenting information. Methods of observation and description were used to solve the tasks.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The paper argues that new means of communication cause a new perception of information. The development of scientific and technological progress, the dynamism of life, increasing the amount of information and accelerating the pace of response to it, etc. forces a person to receive, remember, study, process large amounts of information in a new alternative format; time and conditions of existence often violate the linearity of information, forcing to work with it simultaneously, quickly, switching from fragment to fragment, from one information flow to another. The Internet as a channel of communication, as a space where the virtual interaction and functioning of objects and subjects of all spheres of society, inevitably interacts with each of them. The criterion of modernity and ability to use computer technology to represent the capabilities of the university can be the level of preparation and development of the site of the educational institution and its representation on the Internet, in particular its focus on the youth audience. The daily growth of volumes and types of information that need to be quickly interpreted and analyzed requires new forms of information presentation that would facilitate the process of perception and memorization.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Novelty.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Modern tendencies of informatization and digitalization of educational process actualize necessity of introduction and use of electronic educational resources, technologies of remote interaction in educational process, &lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Practical significance.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The results of the study can be used in the planning and development of university websites. &lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Key words:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; communication, language, thinking, site structure, information.&lt;/em&gt;&lt;/p&gt;
COMPARING CHOROPLETH AND GRADUATED SYMBOLS: HOW DIFFERENT MAP TYPES AFFECT PUBLIC UNDERSTANDING IN COVID-19 MAP READING IN BADUNG REGENCY, BALI, INDONESIA

Information on COVID-19 is vital in protecting the entire community.As the diffusion pattern changes rapidly over time, originally simple data must be presented differently to provide more representative and quickly readable information.Relevant data are now offered in maps to support the public dissemination of COVID-19 information, with Choropleth and Graduated Symbols being the most common map types.This research was the first to analyze community's map reading skills, particularly in interpreting or understanding Indonesia's COVID-19 case distribution portrayed on the map.To test both map types, an online questionnaire was sent to respondents selected by random sampling from people living in Badung Regency.Then, they were given 11 tasks, namely to identify, find extreme values, differentiate, retrieve values, compare, interpret, categorize, group, sort, associate, and locate information contents on both maps.Then, chi-squared, Cramer's V, and Mann-Whitney U tests were conducted to statistically analyze three aspects: accuracy, time, and level of difficulty.The results showed that the choropleth map was easier to read than the graduated symbols.Furthermore, the null hypothesis (H0) was rejected, which means there is a correlation between map type and community's ability to read and understand maps.
Stereotyping ideal Woman in American blogs

Abstract: An ideal woman stereotype presents a verbalized standard of what is most desirable in a woman. A middle class housewife, who fanatically pursues her goal to be an ideal woman is designated the Stepford Wife. She is a diligent mother, a conscious citizen, an attractive woman, and an obedient wife. The study presents qualitative analysis of American blogs. Conversational tone, the author’s stance orientation, and freedom of speech approximate linguistic material to that received experimentally. Based on implicit assumptions and evaluative characteristics, psycholinguistic profile of the Stepford Wife presents attitudinal ambivalence: housewife’s positively assessed qualities come along with criticized subordination of a wife to her husband. Verbal, situational, and associative types of irony convey criticism and sneer at the Stepford Wife. The text graphic execution and illustrations used in blogs emphasize emotionally colored focal points of the utterances. Keywords: stereotype; Stepford Wife; modern media discourse; American blogs; attitudinal ambivalence; different types of irony.
Network Representation Learning Algorithm Based on Community Folding

&lt;p&gt;Network representation learning is a machine learning method that maps network topology and node information into low-dimensional vector space, which can reduce the temporal and spatial complexity of downstream network data mining such as node classification and graph clustering. This paper addresses the problem that neighborhood information-based network representation learning algorithm ignores the global topological information of the network. We propose the Network Representation Learning Algorithm Based on Community Folding (CF-NRL) considering the influence of community structure on the global topology of the network. Each community of the target network is regarded as a folding unit, the same network representation learning algorithm is used to learn the vector representation of the nodes on the folding network and the target network, then the vector representations are spliced correspondingly to obtain the final vector representation of the node. Experimental results show the excellent performance of the proposed algorithm.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Recognition and Localization of Target Images for Robot Vision Navigation Control

This paper focuses on a visual navigation control system for mobile robots, recognizing target images and intelligent algorithms for the navigation system’s path tracking and localization techniques. This paper examines the recognition and localization of target images based on the visual navigation control of mobile robots. It proposes an efficient marking line method for recognizing and localization target images. Meanwhile, a fuzzy control method with smooth filtering and high efficiency is designed to improve the stability of robot operation, and the feasibility is verified in different scenarios. The corresponding image acquisition system is developed according to the characteristics of the experimental environment, and the acquired images are preprocessed to obtain corrected grayscale images. Then, target image recognition and linear fitting are performed to obtain target image positioning. The system calculates the angle and distance of the mobile robot, offsetting the target image in real time, adjusting the output signal, and controlling the mobile robot to realize path tracking. The comparison of sensor data and path tracking algorithm results during the experiment shows that the path tracking algorithm achieves good results with an angular deviation of ±1.5°. The application of RANSAC algorithm and improved Hough algorithm was analyzed in visual navigation control, and the two navigation line detection algorithms based on the image characteristics of the target image were improved in the optical detection area of the navigation line for the shortcomings of the two algorithms in visual navigation control, and the algorithms before and after the improvement were compared.
Provenance and tectonic setting of Leuma Field sediments, Coastal Swamp Depobelt, Niger Delta Basin, Nigeria

Geochemical analysis of sediments recovered from NS-1 well and NS-2 well, Leuma Field, Coastal Swamp Depobelt, Niger Delta Basin was done to establish tectonic setting and provenance. Data for ten major elements and forty-three trace elements were obtained from two boreholes. The geochemical signals display systematic stratigraphic trends in the two wells that depict one source terrain. To determine the provenance of NS-1 well and NS-2 well sediments, Th/Co vs La/Sc plot was utilized which inferred that the sediments from NS-1 and NS-2 wells were derived from felsic source rocks. TiO2 versus Ni bivariate plot was also used to establish the provenance and it revealed that the source of the sediments penetrated by NS-1 and NS-2 wells is predominantly acidic in nature. The provenance of NS-1 and NS-2 wells sediments was further confirmed by considering the ratios of Thorium/Scandium (Th/Sc), Thorium/Cobalt (Th/Co), Chromium/Thorium (Cr/Th) and Lanthanum/Scandium (La/Sc). For NS-1 well, Thorium/Scandium (Th/Sc) range from 1.12-2.01, Thorium/Cobalt (Th/Co) range from 0.91-1.66, Chromium/Thorium (Cr/Th) range from 4.21-16.04 and Lanthanum/Scandium (La/Sc) range from 3.69-8.78. For NS-2 well, Thorium/Scandium (Th/Sc) range from 0.95-2.05, Thorium/Cobalt (Thko/Co) range from 0.94-1.91, Chromium/Thorium (Th/Cr) range from 4.32-15.43 and Lanthanum/Scandium (La/Sc) range from 2.58-6.66. These values inferred that the sediments recovered from NS-1 and NS-2 wells were transported from felsic source rocks.Inorganic geochemical results infer that the tectonic setting for NS-1 and NS-2 wells facies is passive continental margin.