Reviewerly/exHarmony huggingface dataset:
A Comprehensive Review on Image Captioning Using Deep Learning

Our brain is capable of annotating or classifying any image that emerges in front of us. What about computers, though? How can a computer process an image and identify it with a caption that is both relevant and accurate? It appeared unachievable a few years ago, but with the advancement of Computer Vision and Deep Learning algorithms, as well as the availability of appropriate datasets and AI models, building a relevant caption generator for an image is becoming easier. Caption generation is also becoming a booming business around the world, with numerous data annotation companies making billions. Furthermore, this image caption generation process is used to transform images into a series of words from a series of pixels. Image captioning can be thought of as an end-to-end Sequence to Sequence challenge from beginning to end. It is necessary to process both the words or comments as well as the visuals in order to achieve this goal. In this paper, we also reviewed the feature vectors that are obtained by using recurrent neural networks for the language component and convolutional neural networks for the image component, respectively.
Indoor Human Fall Detection Using Deep Learning

Falls are a paramount concern for aged people and can prove fatal if the person remains unattended for a long time. Fall detection systems can prove useful to avoid such situations and also help in eliminating fear among older people. In this work, a system uses a hybrid version of a Long Short-Term Memory (LSTM) network and Convolutional Neural Network (CNN) called the Long-term Recurrent Convolutional Network (LRCN) to detect falls in the real-time indoor environment. Our results suggest that using spatial and temporal information provides the best solution for indoor fall detection.
Hermeneutics of Natural Science

When in 1987 D. Marcus claimed the virtual lack of hermeneutics of the natural science as a field of recognizable individual cognitive interests, his argument made a deep impression on the philosophers of science. However, in 1998 P. Hi­lan, polemicizing with Marcus, put forward the thesis about the existence of “strong hermeneutics” – a philosophical genre of hermeneutics of the natural sci­ence. In a number of subsequent works, he gave a detailed exposition of his point of view, establishing links between the modern philosophy of the natu­ral sciences and philosophical hermeneutics. It was based on the inclusion in the philosophy of science those aspects of historicity, culture and tradition that lack in the traditional analysis of the relationship between theory and explana­tion. The expansion of the range of hermeneutics’ participation in scientific knowledge turned out to be associated with the answer to the question of whether hermeneutics can improve our understanding, primarily the understand­ing of the essence of those things that fall into the sphere of natural sciences. Given that human subjects and communities are inseparable from nature, this un­derstanding must necessarily take into account the biological aspects of this unity. This forces us to include in the interpretive field of hermeneutics living matter, which should be understood not only as an object of hermeneutic inter­pretation by people, but at a deep level and as an interpretation of living beings themselves. The formation and legalization of the interpretation of this type dates back to 2002, when A. Markos published the book “Readers of the Book of Life”, which called for the study of the “biohermeneutic” understanding of sign processes in living systems. The possibility of using this type of interpre­tation in a situation that arose in connection with the increasing exploitation of information technology and the Internet was also extremely interesting. Herme­neutics, which uses an interpretation of this type, is called “digital hermeneu­tics”. It is based on the concept of “digital ontology”, which was introduced by M. Eldred and R. Capurro: things exist (are understood) as much as we are able to digitize them. Digital hermeneutics should be considered as a general prob­lematization of the supposed homology between reality and its digital represen­tations.
To the Question of the Metaphysical Status of the Rose of the World by Daniil Andreyev

The article examines the phenomenon of the Rose of the World by Daniil An­dreyev in the aspect of its metaphysical content. The dynamics of changes in this content of the period from 1956 to 1958 is analyzed; the metaphysical meaning of the phenomenon is considered, contained in the XII Act and the Afterword of the “Iron Mystery” (1956) and, on the other hand, in the XII Book of the “me­tahistorical treatise” “The Rose of the World” (1958). An observation is made about the discrepancy and difference of contents that Andreyev puts into the phe­nomenon of the Rose of the World of the “Mystery” and “treatise”, as well as the changing attitude of the author towards it a short time after his release from Vladimir prison. The facts of the presence of two variants of the phenomenon (the Rose of the World of the “Mystery” and the Rose of the World of the “treat­ise”) and the decrease in its metaphysical significance from 1956 to 1958 are re­corded. Assumption is made about the significant influence of socio-political factors (repression) on the transgression of Andreyev the writer: on the exit from artistic discourse and subsequent introduction to integral (“mythical”) know­ledge. It is concluded that it is necessary to take into account the cultural and traumatic nature of the gained experienced by the repressed artist when analyz­ing the result of his holistic cognition – the newest mythical chronotope Rose of the World.
Social Media Recommendation System

Abstract-Social networking sites always have a unique idea to make the connection between two people compact and fast. Famous social networking sites like Facebook, Twitter, LinkedIn, etc. show recommendations of the people and pages to follow, by comparing and connecting various other mutual connections. The recommendations are based on the number of mutual connections and mutual interests between one and the other person, more the number of mutual friends and interests, more the chances of recommendation. Each social media network has a unique set of technical elements, intricate logic, and usage analytics that make up the algorithm that delivers content to its users. Various optimization algorithms and logics are the base of this technology. Our project is based on the graphs and matrix data structures, which will be used to compare the interests of people which are one hop away from adjacent nodes and recommend them as friends suggestions based on their interests. This will be achieved by optimization and maximum weight algorithm. Keywords:Mutual Connection, Optimization Algorithms, Maximum weight graphs.
Development of Lecturers in Technology Sector in Universities in Accordance with Competence

The development of teaching staff in general and technical lecturers in particular in universities is one of the necessary issues to ensure the quality of training to meet the demand for quality human resources.The labor market, especially in the context of the current world, including Vietnam has been implementing the 4.0 industrial revolution, this revolution requires a labor force.It is equipped with professional capabiliaties, especially the technical workforce, so the essential objective is to train high-quality human resources in science and technology.With the aim of training high quality human resources in science and technology must be sufficient quantity, quality assurance.In training high-quality human resources in science and technology, lecturers in technical fields at universities play a decisive role in ensuring the quality of training.Therefore, the development of faculty of engineering in universities is an urgent requirement set out today.This paper analyzes, identifies the contents needed to develop the faculty of the technical discipline at the university, especially the development of capacity-building approaches that bring about efficiency, feasibility and enhance the number of lecturers in the field of engineering at universities.
Quantum Reinforcement Learning: Analysis of the Influence of the Pqc Architecture, Q-Values and Observables on Agent Learning and Performance

Quantum Computing (QC) has aroused great interest due to its advantages such as high-speed processing, security and information transfer protocols. It is because QC lacks programming languages that quantum circuits made up of quantum gates that are impossible to build in classical computers are used. In particular, Parameterized Quantum Circuits (PQC) are equivalent to neural networks and lead to the development of hybrid quantum-classical Machine Learning (ML) algorithms, which carry out information processing on the quantum computer and training using the use of optimization algorithms present in classical computers.Within the ML is Reinforcement Learning (RL) that finds application when an agent must learn to perform a task through interaction with the environment without the supervision of an expert. There are several proposals for algorithms of this type, one of the most popular being Deep Q-learning, where a Deep Neural Network (DNN) is used to estimate the Q-function. In this work we develop an algorithm like the latter where a PQC replaces the DNN. However, due to the fact that the learned model, and therefore the performance of the agent, has a strong dependence on the adopted PQC architecture, Q-values and the observables, and since it is a little researched topic, in this work we propose a quantum-classical RL system implemented using Tensorflow-Quantum, where we provide three novel PQC architectures, which add to the PQC developed in this library, allows us to, on the one hand, to make a comparison between them, and on the other, to visualize the effect of the PQC architecture, Q-values and the observables chosen on the model learned by the agent, for which we test each of our proposals in different environments of the OpenAI Gym library.
M Is for Movement: Innosanto Nagara’s Political Children’s Text as a Space for Critical Consciousness

The reform movement that ended the thirty-two-year dictatorship in Indonesia is arguably one of the most documented and studied in contemporary Indonesian studies. However, discussions about this historical event for children and young people remain scarce. Social and political issues are rarely represented in Indonesian children’s literature, either. Against this context, Innosanto Nagara’s M Is for Movement (2019) distinguishes itself as an illustrated children’s book depicting childhood and youth under the social turmoil leading up to the reform movement. This article seeks to examine the text with critical content analysis through the frameworks proposed by children’s literature scholars Kathy G. Short and Clémentine Beauvais on analyzing politically engaged texts. From the text’s presentation of collective power and the critical role of children in bringing about transformation, the article argues for Nagara’s advocation for political awareness and active participation among children and young people.
Game Mengenal Pahlawan Nasional Menggunakan Construct 2 Berbasis Android untuk Sekolah Dasar Kelas IV

Games are a popular entertainment medium for children in today's modern times. Several types of game genres can be found on a desktop or mobile basis. Game applications have a positive and a negative impact for users, especially on negative impacts for students, one of that is forgetting study time and many types of games function as entertainment media. Game media is not only an entertainment, but games can be used as learning media. Based on these factors, this research was conducted to determine the increase in the effectiveness of games as a media for learning the history of heroes for students. In this study, using construct 2 using HTML5 using a multimedia development life cycle (MDLC) method consisting of several sequences such as concept, design, material, manufacturing, testing to distribution. The output of the research is an Android mobile based game. The research resulted in an increase in the effectiveness of understanding the history of heroes for children by 17%, the factors assessed were in terms of appearance, in terms of menu completeness, in terms of content, and ease of use and benefits of the game
Performance Analysis of Hill-climbing using Evaluation Based on Distance from Average Solution (EDAS) Method

Hill climbing, also known as Mountain climbing, speed climbing or speed climbing Mountain climbing is a branch motorsport in which drivers race against the clock to complete an uphill course. In numerical analysis, hill climbing is a local search A family of mathematical optimization techniques. it is a One that begins with an arbitrary solution to the problem is the process. Alternative: Probability of crossover, Probability of mutation, Maximum iterations, and Population size. Evaluation Preference: SA, GA, MA, ME-BPSO, WAO-CM, LHCMA. From the result it is seen that WAO-CM and is got the first rank whereas is the GA got is having the lowest rank. The value of the dataset for Hill climbing in EDAS method shows that it results in WAO-CM and top ranking.
Physics-Informed Guided Disentanglement in Generative Networks

Image-to-image translation (i2i) networks suffer from entanglement effects in presence of physics-related phenomena in target domain (such as occlusions, fog, etc), lowering altogether the translation quality, controllability and variability. In this paper, we propose a general framework to disentangle visual traits in target images. Primarily, we build upon collection of simple physics models, guiding the disentanglement with a physical model that renders some of the target traits, and learning the remaining ones. Because physics allows explicit and interpretable outputs, our physical models (optimally regressed on target) allows generating unseen scenarios in a controllable manner. Secondarily, we show the versatility of our framework to neural-guided disentanglement where a generative network is used in place of a physical model in case the latter is not directly accessible. Altogether, we introduce three strategies of disentanglement being guided from either a fully differentiable physics model, a (partially) non-differentiable physics model, or a neural network. The results show our disentanglement strategies dramatically increase performances qualitatively and quantitatively in several challenging scenarios for image translation.
Central Bank Digital Currency and Bank Earnings Management Using Loan Loss Provisions

This paper investigates the role of central bank digital currency (CBDC) in bank earnings management, and focus on how CBDC activity might influence banks to engage in accrual earnings management using loan loss provisions (LLPs) and the implications for earnings quality. I show that banks will use accruals, such as loan loss provisions, to manage earnings when CBDC-induced bank disintermediation leads to a reduction in bank deposits, a reduction in bank lending and a likely reduction in reported earnings. Bank managers will mitigate the reduction in reported earnings by lowering discretionary LLPs to increase reported earnings.
Assessment and prediction of stress‐related using SPSS statistical analysis

Predictions provide a reference point for the scientist. If the predictions are confirmed, the scientist hypothesizes supported. If the predictions are not supported, the hypothesis false anyway, the scientist studies increased knowledge of the process being performed. Therefore, for such data analysis in crop forecasting, there are various techniques or methods and those Crop yield can be predicted with the help of methods. A random forest algorithm is used. Weather, Temperature, Humidity, Precipitation, Humidity All these problems and problems like Analyzing the situation we face There is no perfect solution and technologies to deal with. Economic growth in agriculture sector in India There is many ways to increase. To predict crop yield Data mining is also used. Generally, data Mining data from different perspectives Analyzes and summarizes important information is the process. This paper presents a new approach for learning from asymmetric data sets, SMOTE is based on a combination of algorithm and motivational process. Unlike standard boosting where all misclassified examples are equally given weights, SMOTE Boost generates artificial examples from rare or minority groups class, thus implicitly changing and compensating update weights Skewed distributions. SMOTE Boost was used for high and moderate multiples Imbalanced data sets show an improvement in predictive performance for minority classes and an overall improvement
Analysis of Humanoid Robots Using Additive Ratio Assessment (ARAS) Method

A humanoid robot resembles A human body. These robots are human tools and Designed to interact with customer service Professional service robots. This human figure Robots for inspection and maintenance are used; Humanoid robots have a very unique style. The knees are bent and the body is as stable as possible. Even Boston Dynamics’ own Atlas uses this type of squatting to get around. Alternative: Eyebrow Frown, Raise Eyebrows, Up Turn Lip Corners, Open Mouth, Tighten Mouth, Raise Chin. Evaluation Preference: Pleasantness, Discrepancy, Anticipated Effort, Attention Activity, Certainty, Personal Agency, Novelty. From the result it is seen that Personal Agency is got the first rank where as is the Anticipated Effort is having the lowest rank. The value of the dataset for A humanoid robot in ARAS method shows that it results in Personal Agency and top ranking.
The essence of the concept of "information and digital competence of students of agricultural and nature protection institutions of higher education"

The article reveals the essence of the concept of "information and digital competence of students of agricultural and environmental protection institutions of higher education." The definition of the concept of digital competence is provided based on the analysis of research by leading domestic and foreign scientists. A definition of the concept is given digital competence based on the analysis of leading domestic studies and foreign scientists. There is no single approach to determining the competence of teachers regarding the use of digital technologies in professional activities, and those that exist are typologically related, while differing in their component structure. One of the main directions of education reform in accordance with the "New Ukrainian School" Concept is "the end-to-end application of information technologies in the educational process and management of educational institutions and the education system", which "should become a tool for ensuring the success of the New School". The formation of information and digital competences involves "confident, and at the same time, critical use of electronic educational resources for the creation, search, processing, and exchange of information." Understanding the importance of forming the digital competence of the participants of the educational process is felt from the awareness of the essence of the concept of "information and digital competence". The purpose of the article is to reveal the essence of the concept of information and digital competence of teachers and highlight ways of applying IT technologies in the educational system.
Analysis of Paradox Phenomenon in the Free Learning Year(Semester) : Focusing on Stone's "Causes"

본 연구는 자유학년(기)제에 나타나는 상호 모순적이며 배타적인 요소들 즉, 자유학년(기)제의 정책 패러독스 현상이 발생하는 원인을 도출하고, Stone의 ‘인과관계’를 중심으로 정책 시행 과정에 나타나는 이해관계자들의 원인 활용 양상을 분석하여 정책적 시사점을 탐색하였다. 연구 결과, 자유학년(기)제의 정책 패러독스 현상 발생 원인은 ‘우연한 원인’, ‘의도하지 않은 원인’, ‘의도적 원인’으로 구분할 수 있으며, 자유학년(기)제 시행에 찬성 또는 반대하는 입장에서의 원인 활용 양상을 도출하였다. 연구 결과에 따른 결론은 다음과 같다. 첫째, 자유학년(기)제 패러독스 현상의 ‘우연한 원인’은 정책의 부정적 영향을 야기하였으나, 긍정적 정책 진화의 기반으로 활용될 수 있다. 둘째, 정책 의도와 다른 부정적 문제들이 ‘의도하지 않은 원인’으로 도출되는데, 이는 선의적 정책의 유해성으로 볼 수 있다. 셋째, 정책 실행 면에서 내장된 패러독스 및 운용의 패러독스 등 의도하지 않았으나 예견할 수 있는 정책의 부작용을 최소화하기 위한 근거로 인과관계를 활용할 수 있다. 넷째, 자유학년(기)제의 예측 가능한 정책적 부작용은 ‘의도적 원인’에 따른 패러독스로 이어질 수 있다. 다섯째, ‘의도적 원인’에 따른 패러독스는 원인 활용의 따른 정책적 책임 소재에 영향을 주었으며, 정책 확대에 부정적으로 작용하였다.This study derived from the causes of the policy paradoxes of the Free Learning Year(Semester) of the Middle School, as ‛Accidental Cause', ‛Inadvertent Cause', ‛Intentional Cause'. In addition, policy implications were explored by analyzing the patterns of use of causes by stakeholders in the policy implementation process, focusing on Stone's 'causal relationship'. The conclusions according to the research are as follows. First, the ‛Accidental Cause' caused the negative impact of policy, but it can be used as the basis for positive policy evolution. Second, policy intentions and other negative problems are derived as ‛Inadvertent Cause', which can be seen as the harmful side effects of well-intentioned policy. Third, causal relations can be used as a basis for minimizing the side effects of unintended but predictable policies, such as the built-in-paradox and the paradox of operation in terms of policy implementation. Fourth, the predictable policy side effects of the Free Learning Year(Semester) can lead to paradoxes due to ‛Intentional Cause'. Fifth, Paradox according to ‛Intentional Cause' influenced the subject of policy responsibility due to the use of causes, and negatively affected policy expansion.
Analysis of Selection Schemes for Prototyping the Protection and Evacuation Items in Complex Radioactive Disaster

A radioactive complex disaster refers to a situation in which large-scale natural and social disasters such as earthquakes, fires, and chemical incidents occur in addition to nuclear power plants accident simultaneously. For the safe evacuation of residents, protective equipment must be prepared appropriately and sufficiently. We presented effectiveness, sufficiency, and versatility as selection criteria for choosing the essential protective equipment. The results of the survey of residents and local public officials suggested that masks, radioactivity meters, protective buses, and air purifiers have high priorities for the preparing equipment. Finally, through consultation with central government officials, masks, measuring instruments, and adsorption filters in protective buses were presented as prototypes. These items can effectively protect the people even in the event of a radioactive complex disaster.
Data literacy in academic libraries: teaching critical thinking with numbers

"Data literacy in academic libraries: teaching critical thinking with numbers." Journal of the Australian Library and Information Association, 72(1), pp. 104–105
An Exploration of Gender Differences on EFL Students’ English Learning Satisfaction by Technology University Students

The purpose of this study is to explore whether the learning satisfaction of teachers’ instruction and course content were varied according to gender diversities. Based on this notion, this study conducts a questionnaire survey with 232 participants, including 142 males and 90 females from seven classes as the study samples. The study employed descriptive statistics, and ANOVA etc.to perform analysis, and obtained the following conclusions; the EFL technology university students reported higher satisfaction with teachers’ instruction than with the satisfaction of the teachers’ course content, and male students reported higher satisfaction with the overall English learning satisfaction than their counterparts. Furthermore, it is likely that male students are more satisfied than female students in the English learning class.