Reviewerly/exHarmony huggingface dataset:
Reception of literature generated by artificial neural networks

reception of literature generated by artificial neural networksThe miracle of electronic literature is not that computers are current; the miracle is that it is so thoroughly anticipated, suggesting that the literary perspective is a viral, feral, primordial tendency of human consciousness.
Personnel training system as it used to be at the faculty of History and Pedagogy of Nekrasov Kostroma State Pedagogic Institute

Training specialists in the field of upbringing is currently a significant task facing the education system. It is necessary not only to find new organisational forms of training educators, counselors, organiser pedagogues, but also to use the accumulated experience, including to study the system of training methodologists of upbringing work at the historical and pedagogic faculties created 60 years ago. The article discusses the system of pedagogue training, including the principles, organisation of educational, extracurricular activities, collective upbringing and support of student self-government. Much attention is paid to the special environment formed during the interaction of students of different courses, the personality-oriented position of teachers. The analysis of the faculty's work allows us to identify the key elements of the upbringing system, which had been consistently created on the basis of scientific developments of Kostroma scientists.
Artistic searches for actresses who performed female images

In a scientific article, the authors professionally analyzed the process of creating female images on the stage of Kazakh theaters. First of all, in the process of staging a play, the preparation of an actor for the embodiment of a dramatic work on stage, his creative quest is of great importance. Based on the examples of the theoretical system of K.S.Stanislavsky, the most important techniques for the actor in the preparatory work are revealed. Particular attention is paid to the role of schools of character and heroism in the performing arts. It is emphasized that the level of the role is high only when the reality of the actor's actions is combined with the process of his psychological and physical transformation. The authors also note that in order to meet the needs of today's viewers, it is important to expand creative pursuits that transcend the past and are focused on innovation
Correlation of CT scan Chest Severity Score with Serum Ferritin in COVID-19 Disease: A Retrospective Study

Background: COVID-19 disease is due to SARS-CoV-2 Virus with its rapid progression causing severe and fatal complications like Pneumonia. CT scan chest and inflammatory biomarkers like serum ferritin, helpful in screening, clinical management and prevention of serious complications of the Covid-19 disease are to be investigated and assessed.&#x0D; Aims and Objectives: This study is aimed to assess the association between the CT Scan Chest severity score and the Serum Ferritin levels in COVID -19 disease in predicting clinical severity with categorization into different risk groups to identify patients at risk of fatal complications to ensure optimal resource allocation.&#x0D; Materials and Methods: This retrospective observational study in a Govt. Medical college attached Tertiary care hospital for COVID –19 disease in Andhra Pradesh from 1st to 31st October 2020 included 76 patients of Covid-19 disease of &gt; 20 years of age admitted with laboratory confirmed RT PCR diagnosis of Covid – 19 disease. Data was collected from the hospital records of the patients on demography, radiological imaging of CT scan chest severity score and laboratory measurements of Serum Ferritin levels and tabulated with the results expressed as mean ± SD. The disease severity was classified as mild (1-8), moderate (9-15) and severe (16-25) based on CT scan chest Severity scoring. Then the association between CT scan chest severity score and serum ferritin levels was studied, assessed and correlated.&#x0D; Results: Study data of a total of 76 COVID –19 positive patients was analysed and summarized. 54 patients (71%) were Males and 22 patients (29 %) were Females. Mean age (Years) of the patients was 52 ±13.2 years with males and females as 53.11±13.45 and 50.18 ±11.71, respectively. Based on the 25 point CT scan chest severity score, 50 % (38 patients) were in the mild grade (1 -8) with a mean ±SD of 4.74±2.44, 43.42% (33 patients) were in the moderate grade (9 - 15) with a mean ±SD of 11.31 ± 2.06 and 6.58% (5 patients) were in the severe grade (16 -25) with a mean ±SD of 18.4 ± 3.29. The mean ±SD values of Serum Ferritin were 261.22±377.12ng/ml, 431.14 ±284.69ng/ml and 870.8±928.06ng/ml with mild, moderate and severe grade of CT chest severity score respectively. Statistically significant correlation was found between between the CT Chest Severity Score and Serum Ferritin levels.&#x0D; Conclusion: Serum ferritin levels were observed to be high in the CT scan chest positive group and so the serum ferritin levels measured at the time of admission predict radiological severity. This positive correlation between the CT Chest Severity Score and Serum Ferritin levels can predict clinical severity of Covid -19 disease with categorization into different risk groups helping in the clinical management, prevention of serious complications and disease outcome.
TEB Local Path Planning Algorithm Based on Obstacle Dynamic Minimum Safety Distance

With the vigorous development and iterative update of artificial intelligence technology in the world, the intelligence of intelligent connected vehicles and autonomous mobile robots and the technological innovation brought by them have attracted more and more attention.As one of the core algorithms and key technologies in the decision-making layer of intelligent connected vehicles and autonomous mobile robots, path planning algorithm directly affects the intellectualization of autonomous mobility of intelligent devices.Intelligently made cars and autonomous mobile robots are presented in this paper how to use it in the global path planning based on TEB local path planning algorithm for dynamic obstacle avoidance were studied, and given TEB (Timed Elastic Band) algorithm's lack of improvement method is proposed, to make it more flexible to adapt to the surrounding environment and planning a more secure and changeable path.Keywords： TEB algorithm, Path planning, dynamic obstacle avoidance
Social Capital as Innovative Performance Driver in SMEs: Leveraging on Innovation Culture and Government Support

Innovation creates value for customers and helps companies to stay competitive in the market. It is however found that little attention has been given in previous studies in looking at innovation culture among Small and Medium Enterprises (SMEs). Given that innovation provides a competitive advantage for SMEs, they hence need to inculcate innovation culture within themselves in order to achieve their business performance objectives. The purpose of this study is to investigate the importance of innovation culture towards innovation performance and the influence of social capital (relational capital and social network) on innovation culture. Additionally, government support will also be investigated as it mediates between innovation culture and performance in the growth of SMEs in Malaysia. A quantitative method design was employed in this research to produce interesting findings. Research findings indicate that social capital has a significant impact on innovation culture, but an indirect impact on innovation performance. Government support also plays an important role in strengthening the link between innovation culture and performance. This study contributes to our understanding of the factors that promote the innovation culture within business organizations. As such, it is hoped that this study will encourage researchers to establish more definitive evidence on the culture of innovation among Malaysian SMEs, thereby creating the basic framework for further investigation.
Optimal scheduling of HVAC systems with simultaneously control of set point and dead band width and consideration of risk management

Optimal scheduling of HVAC systems with simultaneously control of set point and dead band width and consideration of risk management
Developing and Validating a Professional Development Inventory: Novice and Experienced Teachers’ Perceptions in Focus

Research Background: In any successful education system, teachers as the main driving forces of the learning process are at the forefront. To fulfill their responsibilities efficiently, they need to enhance their knowledge and professional expertise. Hence, the evaluation of teachers’ professional development is of paramount importance in EFL contexts.Purpose of the Study: In line with such a concern, the present study was conducted to investigate the underlying factors constituting a newly developed teachers’ professional development questionnaire in the EFL context of Iran.Methods: To this end, 242 Iranian EFL teachers with different experiences were conveniently requested to partake in this study. They were asked to respond to the questionnaire, which encompassed 76 items on a five-point Likert scale. After ensuring the reliability of the scale, to scrutinize the validity of the questionnaire, content validity and factor analysis were checked.Results: The results of Exploratory Factor Analysis (EFA) revealed that the questionnaire involved 7 factors, representing the teachers’ beliefs about various aspects of development, like means of development, needs, beneficiaries, motivators, methods, and obstacles of development. The results of Confirmatory Factor Analysis (CFA) also demonstrated that the questionnaire consists of seven factors, loading on items and sub-components of the model.Implications: This study can provide treasured pedagogical implications for EFL teachers, teacher educators, policymakers, and materials developers through raising their awareness and knowledge of teachers’ professional development and its underlying components.
PENGARUH PENGGUNAAN METODE RESITASI BERBANTUAN MEDIA BULLETIN BOARD DISPLAY TERHADAP HASIL BELAJAR SISWA MIN 2 BENER MERIAH

The learning process at MIN 2 Bener Meriah already uses learning methods, but it is not optimal and not fully in accordance with the material being taught, the lack of media use, learning is student centered learning so that it causes students difficulty in understanding the material being taught. The purpose of this study was to determine student learning outcomes through the recitation method assisted by the bulletin board display media and student responses to the methods and media used. The data collection method used quasi-experimental with nonequivalent pre-test post-test control group design. Sampling was done by purposive sampling, namely the experimental class as many as 30 students and the control class as many as 30 students. The research instrument is a test in the form of multiple choice and a questionnaire. Analysis of learning outcomes using t-test and student responses using the percentage of respondents formula. Based on the results of data analysis, it was obtained (a) the results of the t test, namely tcount of 6.27 and ttable of 1.672 (tcount&gt; ttable) so that Ha was accepted and Ho was rejected and the regression test was Y = 71.50 + 0.09X, (b) response students to the recitation method assisted by bulletin board display media with a percentage of 69.3% agree. Based on the results of this study, it can be concluded that there is an effect of using the recitation method with the help of bulletin board display media on student learning outcomes and students are happy and interested in the learning process using the bulletin board display media-assisted recitation method
UPLOAD SOCIAL RESOURCES IN THE SOCIALIZATION OF DIGITAL LITERATURE IN THE DEVELOPMENT COMMUNITIES OF KAMPOENG DJOEANG

Ease of access to information is a definite consequence of the deepening of globalization. Mode of interaction and communication advancement are characteristic that can now be easily recognized through technological developments. This raise a problem related to less optimum usage of the internet amid the high use of digital applications. The existing conditions lead to a lack of people's ability to both understand digital objects and the benefits that is contained. The implementation of community service in partnership with Kampoeng Djoeang aims to introduce and upload social resources related to digital literacy skills which are now crucial in the midst of the Covid-19 Pandemic. The method used is a series of training in three stages, namely (1) analysis of community needs, (2) socialization of digital literacy, and (3) evaluation and feedback. It was found that practical forms of training were the answer to two people's needs, namely (1) digital literacy education by providing information analysis skills and (2) understanding legal and ethical references in social media.
Gray Scale Image Captioning Using CNN and LSTM

Abstract: The objective of the project is to generate caption of an image. The process of generating a description of an image is called image captioning. It requires recognizing the important objects, their attributes, and the relationships among the objects in an image. With the advancement in Deep learning techniques and availability of huge datasets and computer power, we can build models that can generate captions for an image. This is what we have implemented in this Python based project where we have used the deep learning techniques of CNN (Convolutional Neural Networks) and LSTM (Long short term memory) which is a type of RNN (Recurrent Neural Network) together so that using computer vision computer can recognize the context of an image and display it in natural language like English. Gray Scale Image captioning can give captions for both monochrome and color images. Keywords: Image, Caption, Convolutional Neural Networks, Long Short Term Memory, Recurrent Neural Network
Comparing Physiological and Emotional Effects of Happy and Sad Virtual Environments Experienced in Video and Virtual Reality

Virtual Reality (VR) could give users a more immersive experience than other non-immersive mediums. In this study, we explored differences in emotional and physiological effects between videos and VR using two different sets of contents to evoke happy and sad emotions. In this within-subjects controlled experiment we collected real-time heart rate, positive and negative affect schedule (PANAS), and Self-Assessment Manikin (SAM) to measure physiological and emotional effects. Our results showed that VR triggers stronger emotions and higher heart rate than videos.
From Personal Observations to Recommendation of Tailored Interventions based on Causal Reasoning: a case study of Falls Prevention in Elderly Patients

While the challenge of estimating the efficacy of therapies using observational data has received a lot of attention, little work has been done on estimating the treatment effect from interventions. In this paper, we tackle this problem by proposing an early guidance system based on a causal Bayesian network (CBN) for recommending personalized interventions. We are interested in the elderly fall prevention context. The objective is to develop a practical tool to help doctors estimate the effects of each intervention (or compound interventions) on a given patient and then choose the one that best fits each patient's health situation to reduce the risk of falling.On a real-world elderly information base, we undertake an empirical investigation for the proposed approach, which is based on a 44-node CBN. Then, we describe what is possible to achieve using state-of-the-art machine learning methods, namely Support Virtual Machine (SVM), Decision Tree (DT), and Bayesian Network (BN), and how well these methods can be used in recommending personalized interventions compared to the proposed approach.1174 elderly patients from Lille University Hospital, between January 2005 and December 2018 are included. The results reveal that none of the classifiers is significantly superior to the others, even if BN delivers somewhat better results (41.6%) and DT most often slightly lower performance (31.2%). Results also show that none of these three classifiers performs comparable to the proposed system (89.7%). The interventions recommended by the system are in agreement with the expert's judgment to a satisfactory level. The reaction of the physicians to the proposed system in its first trial version was very favorable.The study showed the efficacy and utility of the causality-based strategy in recommending tailored interventions to prevent elderly falls compared to automated learning methods that had failed to infer a solid interventional paradigm for precision medicine.
Guest Editors’ Introduction: Special Issue on Benchmarking Machine Learning Systems and Applications

<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Machine learning (ML)</b> is adopted into a wide range of applications. The popularity and adoption came because of performance and capability to deploy in real-world systems and the ease of use. Given a wide range of works proposed on ML, ranging from the ML learning methodology to the design of hardware accelerators, different works focus on various aspects, depending on the application requirements. For a fair comparison and benefit of the society, benchmarking of the ML applications and performance is nontrivial. Such a benchmarking will also enable the community to analyze and fairly compare the solutions.
Chat Application

Abstract: Today, in this world of social media there are many applications that enable us to share data between people who are distances apart. These social media applications run a variety of platforms. Our project is about a social media application through which we can chat and share files with other people living in different parts of the world which runs on a Desktop. Python programming language and its modules were used in this project. A client-server model and TCP protocol for communication are used in our project. It has a simple GUI interface implemented. Keywords: Chat application, Client-Server model, Social media app, TCP protocol, Multithreading
The readiness of the Private English Schools to Improve the English Skill of the Tourism Human Resources in Polewali Mandar Regency West Sulawesi

The purpose of this study was to determine the readiness of language education institutions outside of school in the context of developing tourism human resources, as well as how the government and private parties support these educational institutions. The results of the study indicate that the Out-of-school Language Education Institution Program in Polewali Mandar Regency can be said to have increased, but the government has not carried out socialization. as well as the state of facilities and infrastructure that still needs to be developed, and also instructions for the location of the course location are not yet available, so it is rather difficult to get information about the location of the English language training place. With the location of the English village, it can be said that there is already a readiness of out-of-school educational institutions in Kab. Polewali Mandar, in order to train human resources to speak English well, so that activities in the tourism sector. can take place well, because communication is established smoothly, especially to foreign tourists.
Task Classification for Improving Scheduling and Resource Management in Cloud Computing

In cloud computing users tasks come up with varied resource demands.But the resource planned is always higher than the actual requirement for the successful execution of a task.The majority of tasks may not consume the entire amount of resource allocated for its execution, thus leading to improper resource utilization and load imbalance thus experiencing high cloud maintenance costs.One way to address this issue is by having prior knowledge of resource requirements and characterizing the incoming tasks based on the resource requirement for efficient use of resources.Hence, the task classification model is proposed, which analyses the incoming tasks and categorizes them into different clusters based on workload using fuzzy clustering algorithm.Furthermore depending on the tasks' CPU and memory requirement the clustered tasks are buffered as light, heavy, compute-intensive, and memory-intensive which benefits during the scheduling and allocation process.The result of the clustering is used in task scheduling and estimation of the actual resource required for successful task execution.The experimental results are compared with existing clustering algorithms and the proposed method proves to achieve increased resource savings.
172 Factors affecting rural residents willingness to share personal data for COVID-19 contact tracing

OBJECTIVES/GOALS: The goal of this study was to examine the attitudes of central Pennsylvania rural residents toward data sharing in the setting of the COVID-19 pandemic. We determined their willingness to provide cell phone data and personal information to public health staff investigating COVID-19 cases, as well as their concerns about sharing this information. METHODS/STUDY POPULATION: We used the electronic medical records of an academic healthcare institution in central Pennsylvania to obtain names and addresses of patients who had visited an outpatient clinic or been an inpatient within the prior three years, were 18 years or older, and who resided in a community defined as rural by the Commonwealth of Pennsylvania. The survey included four statements about contact tracing, three statements about intent to receive the COVID-19 vaccine, and validated scales for general trust and for distrust in healthcare organizations. All study variables were summarized to determine their distributions, and bivariate binomial logistic regression was conducted. A multivariable model including all of the independent variables was then fit for each outcome variable. RESULTS/ANTICIPATED RESULTS: The response rate was 19.5%. 95 % of respondents were white, 56% were female, and nearly two-thirds were older than 60 years. Binomial logistic regression showed that both distrust in healthcare organizations and political values influenced respondents willingness to share information with contact tracers as well as their concerns about sharing. In multivariate analysis, political values were a consistent predicator of willingness to share and concerns about sharing. Respondents who indicated that they wanted to get vaccinated as soon as possible were significantly more likely than those who did not want to be vaccinated to be willing to share their cell phone location data and personal data. Conversely, they were less likely to be concerned with these data being shared without their permission. DISCUSSION/SIGNIFICANCE: Understanding rural residents concerns about sharing personal information is critical if we are to develop successful strategies for lessening the impact of COVID-19 and managing future pandemics. This study is a first step in eliciting such concerns in the context of COVID-19and has implications for directing a successful pandemic response.
Frontiers in Quantum Science and Technology

FIELD GRAND CHALLENGE article Front. Quantum. Sci. Technol., 12 April 2022 https://doi.org/10.3389/frqst.2022.889909