Reviewerly/exHarmony huggingface dataset:
SELECTING THE MOST DANGEROUS VULNERABILITIES FOR PROSPECTIVE INFORMATION SYSTEMS FOR CRITICAL APPLICATIONS

Abstract The development of information systems of critical application is ahead of changes in regulatory documents of regulators and educational programs of universities. Purpose of work: to determine the most dangerous vulnerabilities for promising information systems of critical application (IS CA). Research method: application of the analysis hierarcihes method to compile a hierarchy of alternatives, including the type of platform for a promising IS CA, aspects of information security, types of vulnerabilities. Conducting a survey of experts using a point assessment. Converting results to a matrix of pairwise comparisons. Getting local and global priorities of alternatives. Result of the study: 25 experts of different ages and with different work experience were interviewed. From the point of view of the interviewed specialists, the best type of platform for a prospective distributed information system of critical application is edge computing. Availability, authenticity and integrity are highlighted as the most important aspects of information security. The most dangerous are the vulnerabilities associated with: 1) incomplete verification of input (input) data, buffer overflow, the possibility of injections, injection of arbitrary code, cross-site scripting, injection of operating system commands, etc.; 2) identification, authentication, granting access and privilege escalation; 3) incorrect configuration of software parameters, management of system resources, access to service information. Less dangerous are vulnerabilities that use the health of hardware and reduce its resistance to the actions of technical means of reconnaissance and electronic warfare. The results can be used to prioritize the procurement of information security products, to update the regulatory framework of regulators and training programs for training information security specialists.
Storytelling in data visualization: information bias

Storytelling is shown as an effective approach to humanize information perception. However, its potential to build a biased view of the information contents is often neglected. Moreover, narrative understanding and emotion may interfere with data visualization comprehension. In this research, we evaluated how users perceived the information in two different configurations: One with a report with graphs and narrative side notes texts, and the second with a redesigned fully annotated content. The test compared the two groups in both qualitative and quantitative methods. The quantitative results were obtained by a survey and statistically analyzed with a T-Test. This indicated that the condescending storytelling approach augmented the perception of the effect signaled by the presented narrative. Also, the qualitative results collected afterward by interview and focus group have shown that, as the readers of narrative models perceived a higher intensity of the effect, they have also expected an even higher result from the selected data. The final analysis of the experiment helped to indicate that ordering, highlights, and semantics have a strong role in how the narrative influences the perception of the reader.
Impact of foreign direct investment on inequality in emerging economies: Does the Kuznets curve hypothesis exist?

This paper aims to test the Kuznets hypothesis regarding the existence of the inverted U-curve in the relationship between FDI and income inequality with an international sample.Some economists have recently expressed concern that the globalization of the production process can promote inequality and create social problems.Whether foreign resources might be related to unequal income distribution in emerging economies remains an open question.In order to fill the research gap, the paper tries to examine the impact of foreign direct investment on inequality in 33 emerging economies between 1980 and 2019.There are two methods including OLS and 2-SLS estimations are employed to estimate the coefficients of the variables.Where the 2-SLS methodology employs instrumental variables to solve the endogenous phenomenon in the study function.The results indicate that both the FDI-inequality nexus and the income-inequality nexus are nonlinear effects that confirm the Kuznets curve hypothesis and that improved infrastructure and trade openness can reduce inequality in this group of economies.Finally, the result also suggests that emerging economies need to persevere to FDI attracting strategy because there is a threshold that FDI will ultimately reduce inequality in these economies.
Influence of input values on the prediction model error using artificial neural network based on Taguchi's orthogonal array

Abstract Rapid and accurate assessment of software project development using artificial intelligence tools can be essential for success in the software industry. This article has two objectives: to reduce the magnitude relative error (MRE) value in estimating the effort and cost of software development using the proposed artificial neural network architecture based on the Taguchi method and examine the influence of input variables on the change in relative error value. Clustering and fuzzification methods further mitigate the heterogeneous structure of the different project values of the datasets used. Taguchi method contributes to the reduction of the number of iterations by 99%, which achieves a significant reduction in estimation and value of MRE. By monitoring additional criteria, such as prediction, correlation, and comparing two activation functions, such as sigmoid and radial basis function, the proposed model's correctness, reliability, and stability are confirmed. Significantly better results are expected using the sigmoid activation function and a decrease in the value of the mean (MRE).
BISMUTH MINERALIZATION OF THE BELOGORSKY MAGNETITE DEPOSIT (SIKHOTE-ALIN)

Various bismuth minerals are found in the Belogorsky deposit. Many of them are rare natural minerals and mineral varieties. These are native bismuth, bismutite, cosalite, gladite(?), jonasonite, galenobismutite enriched with Ag and Cu, zavaritskite, a large group of unnamed compounds and other. A feature of the endogenous bismuth mineralization of the deposit is its localization in the products of low-medium-temperature hydrothermal transformation of early associations, especially in large carbonate (with fluorite) pockets in blocks of essentially magnetite ores, where it is closely associated with Au-Ag-Pd-Pt and Mo-W mineralization. The significant amount of Ag in the form of common Ag-Bi minerals is also associated with the bismuth mineralization of the Belogorsky deposit. A close geochemical relationship of Bi, Au, and PGEs in the processes of mineral formation at the Belogorsky deposit is also evident in the presence of common minerals of these elements, such as jonasonite and the unnamed compound Ru(Pb,Ag)2Bi4. The association of Bi and Mo-W mineralization is a characteristic feature of ores of some skarn-tungsten and skarn-molybdenum deposits containing scheelite, molybdenum and bismuthin as the main minerals. The presence of bismuth and noble-metal mineralization is most characteristic of gold and complex gold-bearing ores of hydrothermal deposits of various types. However, at the Belogorsky deposit, in contrast to the deposits of the above-mentioned types, such metals as W, Mo and Bi, as well as Au, Ag, Pd, and Pt do not have an independent practical value, being the accompanying useful components in relation to iron ores. Rocks and ores of the Belogorsky deposit are Triassic metal-bearing sediments metamorphosed and partially regenerated in the Late Cretaceous, which were accumulated in the lagoons of the islands as a result of erosion of the laterite weathering crust of ancient gabbroids. Related to this is the enrichment of ores in different metals, including Fe and Mn, and the presence of gold-silver-palladium-platinum, nickel-cobalt, and bismuth mineralization (Bi compounds with Au and PGE included), which is characteristic of some ultramafic massifs.
On the Nature of Functional Differentiation: The Role of Self-Organization with Constraints

The focus of this article is the self-organization of neural systems under constraints. In 2016, we proposed a theory for self-organization with constraints to clarify the neural mechanism of functional differentiation. As a typical application of the theory, we developed evolutionary reservoir computers that exhibit functional differentiation of neurons. Regarding the self-organized structure of neural systems, Warren McCulloch described the neural networks of the brain as being "heterarchical", rather than hierarchical, in structure. Unlike the fixed boundary conditions in conventional self-organization theory, where stationary phenomena are the target for study, the neural networks of the brain change their functional structure via synaptic learning and neural differentiation to exhibit specific functions, thereby adapting to nonstationary environmental changes. Thus, the neural network structure is altered dynamically among possible network structures. We refer to such changes as a dynamic heterarchy. Through the dynamic changes of the network structure under constraints, such as physical, chemical, and informational factors, which act on the whole system, neural systems realize functional differentiation or functional parcellation. Based on the computation results of our model for functional differentiation, we propose hypotheses on the neuronal mechanism of functional differentiation. Finally, using the Kolmogorov-Arnold-Sprecher superposition theorem, which can be realized by a layered deep neural network, we propose a possible scenario of functional (including cell) differentiation.
The Effect of Facilities and Motivation on Learning Outcomes of High School Students in Gelumbang, Indonesia

Qualified teachers play a very important role in improving learning process in schools. Teachers who are able to use facilities as learning resources will have a positive impact on student success at school. The more complete facilities in the school, the more motivated students will be in the learning process. The purpose of this study was to determine the effect of facilities and motivation on student learning outcomes at SMA PGRI Gelumbang. The type of research conducted was quantitative which analyze the questionnaire data, which is then analyzed using SPSS For Windows. The results of the study indicate that there is an influence of learning facilities and motivation together either simultaneously or partially on student learning outcomes in high school. This paper contibutes to more focus on facilities and motivation to have quality learning outcomes.
Boundary Crossing for Education Continuity: Exploring WhatsApp’s Potential in Botswana During and Beyond the Pandemic

Based on a conceptualization of WhatsApp as a boundary object that permits educational institutions to cross over from in-school teaching to out-of-school teaching, this study investigated the viability of WhatsApp as a mobile learning (m-Learning) technology tool for the continuity of teaching and learning in Botswana during and beyond the COVID-19 pandemic. Utilizing a narrative review of the literature, we found that WhatsApp’s viability is supported by Botswana’s high mobile phone penetration rate, the extensive coverage of the country’s mobile broadband network, reduced domestic internet prices and research findings of WhatsApp’s technological, educational and academic advantages elsewhere. However, teachers require training to develop relevant technological and pedagogical competences. WhatsApp’s viability also requires inclusive access for all children including those from rural poor families and living with disabilities, and the protection of children learning online from mobile phone dependency and exposure to potentially harmful content and abuse.
Detecting Irony in Arabic Microblogs using Deep Convolutional Neural Networks

A considerable amount of research has been developed lately to analyze social media with the intention of understanding and exploiting the available information.Recently, irony has took a significant role in human communication as it has been increasingly used in many social media platforms.In Natural Language Processing (NLP), irony recognition is an important yet difficult problem to solve.It is considered to be a complex linguistic phenomenon in which people means the opposite of what they literally say.Due to its significance, it becomes essential to analyze and detect irony in subjective texts to improve the analysis tools to classify people opinion automatically.This paper explores how deep learning methods can be employed to the detection of irony in Arabic language with the help of Word2vec term representations that converts words to vectors.We applied two different deep learning models; Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM).We tested our frameworks with a manually annotated datasets that was collected using Tweet Scraper.The best result was achieved by the CNN model with an F1 score of 0.87.
Niveles de resiliencia emocional y el aprendizaje virtual, en los estudiantes de la carrera de turismo - UTB

Resistance, support and adaptability are the basis of the resilience that allows for activities with a high stress discharge in university learning processes. In higher education, resilience is a significant ability for gradual emotional change and transformation, which allows to expand the possibilities of the human being in the face of different difficult contextual realities. The objective of this research was to identify levels of emotional resilience to improve virtual learning in academic undergraduate vocational training activities. As a scenario for the application of this research, it was considered to carry out types of research such as: descriptive, exploratory, explanatory and correlational, using methods of analysis, synthesis, inductive, deductive, ethnographic, and critical partner in application of a questionnaire to conduct the survey of students from Tourism Career of the UTB in support of the survey applied to 203 participants were obtained as results that the group surveyed shows an average capacity of resilience, with emotional difficulties to face unexpected actions in their family and university life, in the field of virtual learning students have developed new strategies to learn from an investigative order, improving their expertise in the use of technological tools, participants have developed synchronous activities creating new experiences, and emotional strengths, individual and group, these results demonstrate an interest in the acquisition of social and academic links, technology allows to regenerate the intuitive spirit of cutting-edge students in problem solving and decision making processes.
Perbandingan Metode Evaluasi Usability Antara Heuristic Evaluation dan Cognitive Walkthrough

Usability evaluation is needed to identify and analyze usability problems in an application. This study will compare the results of usability evaluation with Heuristic Evaluation and Cognitive Walkthrough methods on the SIMRS Del Egov Center web from the aspects of usability problems found, the level of usability problems, and end user responses that will be evaluated using usability testing to find a more effective method of finding usability problems. Heuristic Evaluation will refer to the 10 heuristic principles proposed by Jacob Nielsen, while Cognitive Walkthrough, the expert will follow the task provided by the researcher. The results showed that the results of the evaluation conducted by Heuristic Evaluation found more usability problems in aspects: efficiency, memorability and satisfaction, while Cognitive Walktrough found more usability problems in aspects: learnability and error. In the severity rating aspect, Cognitive Walktrough is more effective in finding usability problems with a higher severity level, with an average of 3, while heuristic evaluation with an average of 2. In the aspect of end user responses to websites based on usability testing, Heuristic Evaluation has a SUS score which is higher at 57, while Cognitive Walktrough has an SUS score of 54.5. This shows that based on these three aspects, the Heuristic Evaluation method is better at finding usability problems in the SIMRS Del Egov Center application study object.&#x0D;
School Literacy Movement (SLM) as a Solution to Increase Reading Interest of Indonesian Students

Reading is a very important activity in exploring knowledge and increasing insight.To carry out reading activities requires a sense of interest or encouragement that arises from within each individual called interest.Low interest in reading can make a nation lag behind various kinds of information that continues to grow today.This study aims to find out the implementation of the School Literacy Movement (SLM) as a solution to increasing reading interest.This research was designed with qualitative research methods using a purposive sampling technique.The subjects of this research were 27 fifth-grade students engaged in school literacy movement activities.The data collection techniques included observation, interviews, and documentation.The results of the present study revealed that the SLM habituation stage was able to increase students' reading interest by reading activities for fifteen minutes before learning.The effective reading activity was silent reading.
The image of the lifeworld in philosophy and fiction narratives

The study focuses on the concept of the lifeworld, which was developed by representatives of phenomenological philosophy and philosophy of existentialism. The lifeworld arises as a pre-scientific understanding of the world as a certain horizon of knowledge, interrelationships and unifying meaning. Because such an understanding is tied to subjective experience, it escapes scientific descriptions, that explain the world mainly on the basis of objective facts. The aim of this study is to explain why literary narratives can represent the lifeworld better than its scientific interpretations. Fictional narratives can better capture the temporal, dynamic, but also paradoxical nature of the world's understanding, so they reach the reader more deeply and intimately. We define the process of reading as an activity associated with the semiosis of the lifeworld, which has a fictional essence from a logical-ontological point of view, but part of the reader's cooperation is also the updating of the real world and personal experiences. Text strategies even take this into account and expect the reader to understand the fictional world similarly to the real world.
Investigation of the effect of augmented reality application on preschool children's knowledge of space

In this study, it is aimed to examine the effect of augmented reality application on preschool children's knowledge of space. A mixed method, which combines both quantitative and qualitative methods, was used in the study. The study group consists of 24 children aged 60-72 months. In the study, a 10-question form created in line with the opinions of experts in the field of pre-school and science education was used to measure preschool children's knowledge of space. Children’s views on the augmented reality practice were determined through semi-structured interviews. Space-themed augmented reality card set for teaching space in the experimental group; in the control group, 2D visuals were used. Obtained data were analyzed using Mann Whitney U test and Wilcoxon test. In the study, it was found that the knowledge levels of the children in the experimental and control groups before the application were close to each other; as a result of the trainings made with the augmented reality application, it was seen that the level of knowledge increased in favor of the experimental group. As a result of the interviews with the children, it was determined that the augmented reality practice drew more attention of the children, created a greater sense of reality, and got them excited compared to the practice with two-dimensional visuals. It has been observed that there are not many studies on supporting preschool children's knowledge of space with technological tools. In this context, it is thought that the study will shed light on the literature.
Automatic RTL Generation Tool of FPGAs for DNNs

With the increasing use of multi-purpose artificial intelligence of things (AIOT) devices, embedded field-programmable gate arrays (FPGA) represent excellent platforms for deep neural network (DNN) acceleration on edge devices. FPGAs possess the advantages of low latency and high energy efficiency, but the scarcity of FPGA development resources challenges the deployment of DNN-based edge devices. Register-transfer level programming, hardware verification, and precise resource allocation are needed to build a high-performance FPGA accelerator for DNNs. These tasks present a challenge and are time consuming for even experienced hardware developers. Therefore, we propose an automated, collaborative design process employing an automatic design space exploration tool; an automatic DNN engine enables the tool to reshape and parse a DNN model from software to hardware. We also introduce a long short-term memory (LSTM)-based model to predict performance and generate a DNN model that suits the developer requirements automatically. We demonstrate our design scheme with three FPGAs: a zcu104, a zcu102, and a Cyclone V SoC (system on chip). The results show that our hardware-based edge accelerator exhibits superior throughput compared with the most advanced edge graphics processing unit.
A study on the relationship between supply chain integration and firm performance

This study aims to develop a measurement scale for Supply Chain Integration (SCI) and Firm Performance (FP) in Jordanian SMEs. The study instrument was developed based on the previous studies and the survey included 284 companies in Jordan. A sample of 263 responses were used for exploratory analysis. Results show that the 46-item instrument was loaded on four factors. During this phase, the measurement scale was purified to 36 items, and characterized with a high degree of reliability. The results were confirmed using confirmatory factor analysis and showed that the 36-item measurement model met the empirical requirements namely, convergent, construct, and discriminant validity. The fitness indicators test for the model shows that it is applicable in SMEs companies’ environment in Jordan. The study presented implications for decision-makers in SMEs companies. The limitation of this study was presented which were relied on to develop directions for future research.