Reviewerly/exHarmony huggingface dataset:
A Robust technique for Pre-Processing Liver CT images using Double Stage Guassian Filtering with Texture and Contrast Enhancement

Liver is the greatest and largest glandular organ in human body by weight. It is absolutely fundamental to human life as it performs some vital functions such as digestion, metabolism and filtering of possibly harmful bio-chemicals from blood. Due to changing lifestyle and excess consumption of packaged food, liver diseases such as liver cancer are becoming very common. Liver cancer is one of the cancers having very low survival rates. Early detection and proper medication is the key to survival from liver cancer. Many imaging techniques are used to detect liver cancer, with Computed Tomography (CT) images being the most widely used technique. Computer Aided Diagnosis (CAD) involves studying CT scan images to detect liver cancer. Due to noises present in CT images, sometimes the effectiveness of algorithm gets affected. It is therefore important to pre-process CT images before being used as input for cancer detection algorithms. This Paper presents a robust technique for pre-processing CT images to remove any possible noise present in CT images. The evaluation metrics used for this technique are Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Metrics(SSIM). Results obtained are SSIM is .85, PSNR is 57.56 dB, and MSE is 0.13.
A study on time-frequency analysis and automatic classification of microseismic and blasting signals underground mine

Microseismic monitoring technology is an important means to realize the stability evaluation of ground stress, while the rapid warning of a microseismic monitoring system for rock mass stability depends greatly on the efficiency of effective microseismic signal identification. So far, the classification between blasting events and microseismic events is manually completed by data processors. This means the experience and subjectivity of the data processor would have a great influence on the effective microseismic data and the process is inefficient. Aimed at this problem and based on the monitoring data from a mine, this paper uses many blasting and microseismic signals for the study. The results show that the energy of the blasting signal is mainly concentrated in the high-frequency band (300−1000 Hz), while the energy of the microseismic signal is mainly concentrated in the low-frequency band (0−300 Hz). By analyzing the energy proportion of blasting and microseismic signal in different frequency bands, this paper provides a way to realize the automatic identification and classification of two kinds of signals, which promotes the actual realization of automatic classification of collected signals underground mine.
Study on the construction of defense system of Qiantang River estuary seawall project in the new era

After more than 20 years of operation and repeated typhoon attacks, the original standard seawall of Qiantang River has gradually exposed some problems, such as the obvious settlement of some seawalls, inability to meet the original design standards, thin or unclosed structure of some seawalls, mismatch between the seawall construction standards, and the economic and social development of the reserve. In order to explore the seawall process construction management system of the Qiantang River estuary under the new situation, we inspected the first-line seawalls and reserve ponds in Hangzhou, Jiaxing, and Shaoxing, comprehensively surveyed the current situation of seawall defense, organized and held a symposium for seawall management units in all districts along the river in Hangzhou, and studied and analyzed the aspects of making up the shortcomings of seawall engineering, solving the weak problems of seawall management and further improving the flood control and tide resistance ability of seawall engineering. The research results of the defense system of the Qiantang River estuary seawall project in the new period are obtained, which improves the decision-making basis for the construction and management of the Qiantang River.
Deep Learning for Fraud Prediction in Preauthorization for Health Insurance

Health insurance fraud remains a global menace despite the controls implemented to address it; one of such controls is preauthorization. Although, preauthorization promises reduction in fraud, waste and abuse in healthcare, it places undue administrative burden on healthcare service providers and delay in patient care. This limitation has not been thoroughly explored by works of literature in the machine learning domain. In this work, a deep learning model is proposed to learn the preauthorization process for fraud prevention in health insurance for improved process efficacy. In detail, a de-identified HMO preauthorization dataset is used for training the Long Short- Term Memory (LSTM) network. To address class imbalance and avoid data overfitting, the proposed approach utilizes random oversampling and dropout techniques respectively. The experimental results reveal that the proposed model can effectively learn preauthorization request patterns while offering a fraud detection accuracy rate of over 90% with a 2-4% improvement rate in accuracy when compared with previous techniques based on conventional machine learning techniques. The proposed technique is capable of detecting anomalous preauthorization requests based on medical necessity.
Education of Children in a School Collective and through a School Collective Taking into Account Modern Educational Conditions

The purpose of the study is to provide insight into the provisions of the theory of collective education, their relevance in modern sociocultural conditions. The task of modern education is the theoretical and methodological comprehension of the positions of collective education, education in a collective in modern sociocultural conditions. The paper sheds light on the notions of “educational collective” and “child-adult community”, the role of a collective in the education of modern schoolchildren, the peculiarities of activities of a teacher focused on students’ education in a collective. Significant ideas of collective education are outlined. Scientific novelty lies in identifying conceptual positions that are important for understanding the principle of education in a collective and through a collective, these positions began to be developed in L. I. Novikova’s school of thought and are of particular relevance today, they continue to be elaborated and refined. As a result, there is a vision of how the ideas of collective education can be implemented at the present time, in modern educational organisations, a vision of things to which a modern teacher, a class teacher should pay attention.
DESIGNING OF LEARNING ASSISTANCE ENVIRONMENT WITH MULTI EDGE DEVICES FOR THE ERA OF COMPLEX MASSIVE NATURAL DISASTERS

DESIGNING OF LEARNING ASSISTANCE ENVIRONMENT WITH MULTI EDGE DEVICES FOR THE ERA OF COMPLEX MASSIVE NATURAL DISASTERS
Environmental Literacy Development among 5<sup>th</sup>-9<sup>th</sup>-Grade Students Based on the Content of Textbooks on the Native (Udmurt) Language

The study aims to determine the possibilities and features of environmental education of 5th-9th-grade students in the “Native (Udmurt) Language” subject. The paper substantiates the need for environmental education within the framework of native language learning, identifies the environmental content of textbooks on the Udmurt language. Scientific novelty of the study lies in determining the conditions for ecological culture formation among students in terms of learning the native (Udmurt) language during the curricular and extracurricular activities. As a result, it has been proved that the content of the “Native (Udmurt) Language” subject and extracurricular activities of an educational organisation allow for functional environmental literacy formation among 5th-9th-grade students within the framework of native language learning.
The Effect of Airline Service Major Students’ Online Practical Classrelated Stress on College Maladjustment and Dropout Intention during the COVID-19 Pandemic: A Moderated Mediation Model of Resilience

Introduction. Airline service major students have experienced very high online practical class-related stress during the COVID-19 pandemic, because students in online classes have not had the ability to practice service skills and customer service techniques that would previously have been learned in face-to-face classes (e.g., service role-playing, food and beverage role-playing, etc.). Thus, online practical class-related stress has led to high college life maladjustment and dropout intention among students. Therefore, the purpose of this study was to identify the relationships among online practical class-related stress, college life maladjustment, and dropout intention, and to examine the effect of resilience as a moderated mediation that weakens the negative impact between college life maladjustment and dropout intention. Samples and methods. The participants in this study were 314 airline service major students from three universities in South Korea. Data were collected from sophomore (40.1%), junior (30.9%), and senior (29%) students in South Korea. This study used SPSS Win.21.0 statistics programs to conduct the frequency test, exploratory analysis, and reliability and correlation tests. For the moderated mediation analysis, ‘Model 14 of PROCESS macro ver.4.0’ was used as the statistical method. Results. First, dropout intention had positive correlations with both online practical class-related stress (r = .518, p&lt;.01) and college life maladjustment (r = .325, p&lt;.01), while it had a negative correlation with resilience (r = -.494, p &lt; .01). Second, resilience was found to have conditional indirect effects on the relationship between online practical class-related stress and dropout intention through college life maladjustment that were significant (p &lt; .01) when the resilience values were 4.0 (.0379~.1200) and 4.5 (.0244~.0740), respectively. Therefore, the moderated mediation effect of resilience was verified. Practical significance. This study found that airline service major students with high resilience have decreased dropout intention. The results of this study indicate that students’ resilience should be fostered and reinforced with the goal of reducing or overcoming students’ college life maladjustment and dropout intention during the COVID-19 pandemic.
Using TED Talks Content for Foreign Language Auditive Competence Development among Technical University Students

The aim of the study is to substantiate the effectiveness of using the media content of the TED Talks platform for foreign language auditive competence development among technical university students within the “Foreign Language in Professional Activities” discipline. The paper clarifies the definition of the notion of technical university students’ foreign language auditive competence, its component composition, describes the possibilities of using TED Talks videos for its development. Scientific novelty lies in elaborating a model for foreign language auditive competence development among future engineers based on TED Talks videos. As a result, the positive results of a methodological experiment on the implementation of the considered model have been presented and the conditions for its functioning have been indicated.
EXPLORING THE EMOTIONAL RESPONSES INDUCED BY A REAL PERSON CHAT AND AN AI CHATBOT ASSISTANT

Appears in: ICERI2022 Proceedings Publication year: 2022Pages: 288-293ISBN: 978-84-09-45476-1ISSN: 2340-1095doi: 10.21125/iceri.2022.0113Conference name: 15th annual International Conference of Education, Research and InnovationDates: 7-9 November, 2022Location: Seville, Spain
GENDER DIFFERENCES IN SPATIAL THINKING ONLINE TRAINING

Appears in: ICERI2022 Proceedings Publication year: 2022Pages: 802-808ISBN: 978-84-09-45476-1ISSN: 2340-1095doi: 10.21125/iceri.2022.0249Conference name: 15th annual International Conference of Education, Research and InnovationDates: 7-9 November, 2022Location: Seville, Spain
Improving the Adversarial Robustness of Neural ODE Image Classifiers by Tuning the Tolerance Parameter

The adoption of deep learning-based solutions practically pervades all the diverse areas of our everyday life, showing improved performances with respect to other classical systems. Since many applications deal with sensible data and procedures, a strong demand to know the actual reliability of such technologies is always present. This work analyzes the robustness characteristics of a specific kind of deep neural network, the neural ordinary differential equations (N-ODE) network. They seem very interesting for their effectiveness and a peculiar property based on a test-time tunable parameter that permits obtaining a trade-off between accuracy and efficiency. In addition, adjusting such a tolerance parameter grants robustness against adversarial attacks. Notably, it is worth highlighting how decoupling the values of such a tolerance between training and test time can strongly reduce the attack success rate. On this basis, we show how such tolerance can be adopted, during the prediction phase, to improve the robustness of N-ODE to adversarial attacks. In particular, we demonstrate how we can exploit this property to construct an effective detection strategy and increase the chances of identifying adversarial examples in a non-zero knowledge attack scenario. Our experimental evaluation involved two standard image classification benchmarks. This showed that the proposed detection technique provides high rejection of adversarial examples while maintaining most of the pristine samples.
The Einstein machine

Algorithms can now pore over astrophysical data to identify underlying equations. Will artificial intelligence ever discover new laws of physics, asks Thomas Lewton
Web Sites of Primary School Libraries - Case of the Šibenik City

The school library is an informational, cultural, and educational center of the school. According to the School library guidelines they are “...learning environments that provide space (physical and digital), access to resources, and access to activities and services to encourage and support student, teacher, and community learning“ (International Federation of Library Associations and Institutions, 2015). With the advance of the Internet, the library is presented to the world and enables continuous contact with other centers and other libraries, so they are functioning in both physical and digital space. And the history of the school library website is a very long one as school librarians were the professionals that accepted new technology in the early days. As Dukić (2012) writes “the first web pages of school libraries appeared in developed countries as early as 1994. From 1995 to 1996, the number of school library websites increased rapidly. However, the main feature of these websites was static, because the communication was mostly in one direction - from the website to the user”. With the advance of Web 2.0 librarians became able to create their own library websites without excessive computer skills. Awareness ofthe need to create websites exists and is strengthened by trends from the outside, but we must keep in mind the need to modernize them because outdated and uninformative pages can only harm the library. Namely, they are the identity card with which the library enters the most remote homes, other libraries, research centers, etc..“ (Lazzarich, 2003). Today, when most children and young people grow up with digital technology and the Internet, creating their own library website is an appropriate way to bring the library, and thus reading, closer to young people. Well-designed websites can be a good tool for searching for information related to learning, but also a virtual learning community in which school librarians can collaborate with staf and students. Valenza (2007) goes even further in analyzing the quality of the websites by creating a taxonomy of the school library websites. But what happens when the school and their library's physical space are closed due to the lockdown. Shifting their physical space in the virtual one assumes well-developed communication strategies. The question that arises is should the virtual space be the same as before the pandemics or should it adapt to the new context. The goal of our research is to investigate the current development of the school library websites in one of the Croatian cities and investigate if they respond to the current challenges of the transformed educational environment.
A Comparison of Research Methods to Determine the Sustainability of Mineral Resources in Henan Province Based on Cloud Analysis

In order to improve the fuzzy comprehensive evaluation model of mineral resource sustainability and enhance its scientific and objective nature, in this paper, a cloud model-based risk assessment method is introduced to determine the sustainability of mineral resources in a comprehensive comparison, while using a combination of subjective and objective weighting method combining improved hierarchical analysis and the entropy weighting method. Compared with the previous single-assignment evaluation method, the method used in this paper has the advantages of more reasonable determination of weights, more accurate results and better visualization. On this basis, the combined weight method, cloud model method and hierarchical fuzzy evaluation method are organically combined to conduct a comprehensive evaluation of the sustainability of mineral resources in Henan Province. The case analysis shows that the comprehensive evaluation results of the sustainability of mineral resources obtained according to the method are scientifically reasonable and have important reference value and promotion significance for quantitative research in related fields.
A study on the application feasibility of McClusky's Educational Needs of the Ageing as a theoretical framework for the analysis of older adults’ educational needs

As the elderly population grows and its dynamics change, there is an increasing demand for expanding the diversity of and improving the quality of old adult education programs. Therefore, as a theoretical framework for systematically analyzing the educational needs of the older adults, the applicability of McClusky's Educational Needs of the Ageing was examined. McClusky identified five educational needs: coping needs, expressive needs, contributive needs, influence needs, the need for transcendence. McClusky’s Educational Needs of the Ageing is an educational perspective based on life-span development, and it is a meaningful reference frame to evaluate the efficacy and comprehensiveness of an elderly education program.&#x0D; Through the evaluation of McClusky’s Educational Needs in terms of ageing discourse and changes in social approaches to old age, it was confirmed that while coping and expressive needs are the main focus of current old adult education programs, contributive, influence, and transcendence needs are equally important.&#x0D; Therefore, we argue that a balanced approach to the five Educational Needs is necessary. In addition, we re-evaluated the contributive, influence, and transcendence needs by reflecting on the evolution of societal perceptions on old age and role of the older adults.
A Study on the Determinants of Stakeholders Influencing the Level of Green SCM Adoption by Manufacturing SMEs: Moderating Effect of ISO 14001 Data Implementation Period

Recently, changes in the export environment are expanding the scope of mandatory environment in the eco-friendly distribution and logistics sector. Accordingly, domestic small and medium-sized export manufacturing companies are also included in the list of external stakeholder pressure on the implementation of an eco-friendly system for sustainable operation. Therefore, it is necessary to derive stakeholder determinants that affect the level of Green SCM adoption in the distribution and logistics sector of domestic small and medium-sized export manufacturing companies and present their eco-friendly management strategy directions. Based on Freeman’s stakeholder model, the purpose of our paper is to analyze how it affects the level of introduction of Green SCM by deriving stakeholder factors of small and medium-sized export manufacturers, and to analyze the significance of the moderating effect by conducting a multiple group analysis on the ISO 14001 data implementation period. To this end, our study distributed the questionnaire designed through pending research and in-depth interviews with experts to workers of domestic distribution logistics small and medium-sized export manufacturing companies, and used member lists of the Carbon Convergence Industry Research Association, Korea Trade Association, and professional trading companies to secure objectivity and reliability of samples. The analysis results of our study are as follows. First, the threat of government regulation had a negative (-) effect on the level of Green SCM adoption. Similar results were derived from studies by Xue et al. (2021) and Li et al. (2019) in that the stronger government regulations, the more negatively they affect corporate decision-making and performance. Second, supplier cooperation had a positive (+) effect on the level of Greem SCM adoption. These results are similar to the studies of Kitsis &amp; Chen (2021), Park Chan-kwon, etc. (2019), and the higher the level of awareness of supplier cooperation, the higher the level of Green SCM adoption. Third, community responsibility had a positive (+) effect on the level of Green SCM adoption. This was similar to the study of Khosroshahi et al. (2021) in that small and medium-sized export manufacturing companies have an environmental responsibility as a member of the community and introduce eco-friendly management to contribute to the community. Fourth, the ISO 14001 data implementation period showed a significant moderating effect in the relationship between supplier cooperation and Green SCM adoption level. As a result, it was confirmed that the longer the ISO 14001 data implementation period, the higher the level of adoption through continuous eco-friendly activities to maintain eco-friendly certification.
The Effectiveness of Developing Learning Media Based-Lectora Inspire in English Course

The research’s aim is to determine to find out the increase in college student learning outcomes using learning media based-Lectora Inspire developed in English courses. The Dick and Carey's ADDIE model is being used in this research and development. The college students' cognitive learning outcomes can be improved through the development of learning media based-Lectora Inspire because the gain score obtained is 0.307 which is included in the medium category.
MOBILE SERVICE DESK: CREATING A MOBILE SERVICE DESK APPLICATION TO OPEN CALLS IN THE IT INDUSTRY IN A BEVERAGE COMPANY

In thismobile service desk application was made a system that consists of having an approach to perform the other calls, in which later will be passed to the professional who will provide the service aiming at gratification and resolution of the problem in question of the user who requested the call. This issue that is being passed to be resolved may have its completion in the IT support itself as well, because depending on the level of support being provided the support itself can effect therealization of the problem based on your expertise and experience.
Bayesian method for waveform analysis with GPU acceleration

Typically, in the reconstruction of events recorded by liquid scintillators, we need to extract the photo-electron (PE) hit times and PE charges from waveforms.We developed a new method called Fast Scholastic Matching Pursuit (FSMP).It is based on Bayesian principles, and the possible solutions are sampled with Markov Chain Monte Carlo (MCMC).To accelerate the method, we ported it to GPU, and could analyze the waveforms with 0.01s per waveform.This method will benefit event reconstruction.The position and energy resolution will be improved, as the method extracts all the information in the waveforms.