Reviewerly/exHarmony huggingface dataset:
Inverting the Subsurface Fracture Density by Detecting the Phase Difference of Various Seismic wave with Machine Learning

The fracture density of rock could create the applying shock waves phase difference at the laboratory scale. For using this technology in determining the stress status along the wave propagating path, removing unnecessary noise is the most crucial task. In this study, a machine learning method with Long short-term memory (LSTM) algorithm to retreat the signals from sophisticated seismograms is proposed. The primary analyzing target is data across the 2022 Taitung, Eastern Taiwan seismic event and another micro-seismic data set associated with a surface crack on a hill of Ping-Tong, southern Taiwan. It is found that there is no phase difference among vertical and horizontal components from the same record, when comparing the difference between two various records then the result is distinct. The detecting sub-surface crack density via phase difference has increased in some seismic data pairs of eastern Taiwan after the rupture of the 2022 Taitung earthquake. The machine learning method with LSTM helps to elevate the data retrieval accuracy which cannot be done by conventional Fast Fourier Transformation (FFT). Records from stations adjacent to the hypocenter offer better agreement in phase difference measurement, the higher signal possibly causes it to noise ratio (SNR) in the such neighborhood.&amp;#160;Keywords: phase difference, machine learning, LSTM, crack density, stress field
Nursing Students’ Practicum Readiness Using Virtual Learning Reality: A Pre-Experimental One Group Study

Technology can be utilized in various fields, with no exception of nursing education in which virtual reality is used as an educational tool. However, the use of virtual reality as a learning media for nursing is still limited, especially as an introductory tool to practicum sessions. This study aimed to give a description on the use of virtual reality as a learning media towards the readiness of students in Faculty of Nursing, Universitas Padjadjaran. A pre-experimental one-group post-test only design was used. A total of 68 nursing students participated and completed a virtual reality suctioning simulation for 20 minutes. The data were analysed using a descriptive analysis consisting scores of minimums, maximums, mean, and standard deviation. The means and standard deviation for practicum readiness were 16.84 and 6.899 respectively. The minimum score acquired in total was 6 out of a possible correct answer of 45, with the maximum score acquired being 34. Based on the result, virtual reality as a learning media has effects on practicum readiness. Further studies should take the implementation of a comparison group and the number of opportunities for participants to do the simulation procedure into consideration so that practicum readiness is more comprehensively described
AN An Analysis of Flouting Maxims in the Second American Presidential Debate

Language becomes the prior instrument in communicating ideas, feeling, or opinions. In real communication, those four maxims are not always being fulfilled by the speakers. When the speakers do not fulfil the maxim in the communication, means that they flout the maxim. There are many flouting maxims found in the real communication. Debate can be an interesting object for seeing that phenomenon. One of many famous debates is American presidential debate in 2008, especially the second part of the debate. In this ocassion, there are many guests who had never voted in the election before. The aim of this study is to investigate the flouted utterances in the second American presidential debate and to answer the question about how the the two presidential candidates flouted the maxims. This study is conducted by using qualitative approach since the writers analyze about the flouted utterances in the second American presidential debate. The script is taken from the website www.debates.org. the two presidential candidates performed flouting maxim of quantity, flouting maxim of relevance, and flouting maxim of manner. Key words: debate, flouting maxim, good communication
Integrating Code Reviews into Online Lessons to Support Software Engineering Education

The use of peer code review exercises is well established in software engineering education. Nevertheless, challenges involving students’ ability to perform code reviews have been identified as barriers to successfully integrating code reviews in educational settings. We have previously proposed code review notebooks as a way to address this issue. Code review notebooks resemble computational notebooks but focus on reviewing rather than executing code and can serve to introduce students to the code review process. In this study, we evaluated the effects of using a code review notebook via a case study whereby 25 university students were taught how to identify code style issues in JavaScript. Our mixed-method analysis suggests that the code review notebook format encourages students to reflect on their learning process and can result in short-term learning gains. These findings could serve instructors looking to incorporate code review exercises into their practice.
Relevance of educational philosophy of Aurobindo Ghosh in the context of national policy on education-1986

Since time immemorial, India has been the land of philosophers, sages and social reformers as well as some recognized great personalities.Aurobindo Ghosh in modern era is one of them who is regarded as one of the most gifted philosophers of the twentieth century.He was a great nationalist and his contribution to the Indian politics is quite different because he has no significant role in politics.And one important thing in his life is know about how nationalist revolutionary life of Aurobindo Ghosh has been turned into moralist, spiritualist, as well as educationist.He was mostly known for his ideal concept of Integral Education which has been divided into five categories, namely; Spiritual, Physical, Mental, Vital and Psychic.Apart from that he also occupies a central position in the field of education and political science.And his contribution in the field of education is more relevant because he always wanted for all round development of the students.He always emphasized on value education.He suggested that education should be value based.He also believed that education is a type of instrument which can be used to realize oneself and to find out the place and position of a man in the society.Taking his Integral Education into account, several educational policies relating to Indian education system have been recommended for its implementation.Aurobindo Ghosh also gives the concept of three principles of true education in the light of Integral Education where he mentions the teacher is not the instructor or taskmaster, but can guides and helps for the future generations.According to his view, the teacher cannot impose or command forcibly.Keeping in view the aforementioned above it is clear that the existing educational system should adopt the principles and systems of Integral Education conceived by Aurobindo Ghosh which may help for developing innate values, spirituality and divinity.
Intelligent IoT-Based Tracking System for Constant Supervision of Health Status and Daily Activities of Children

At some point, kids start to grow and acquire more independence to explore the world independently. And while it is a natural stage of kids’ growth, parents usually feel restless during this stage, fearing that their children might face dangers in the absence of their supervision. This problem is the main motivation behind the system introduced in this paper. It is aimed to assist parents in maintaining the safety of their children by tracking the child’s relative location and monitoring the health status to ensure his/her wellbeing. It also follows up and supervises the daily activities and prevents any potential danger that can befall the child. The system consists of two main units. The first unit is implemented in form of a bracelet worn by the child, while a mobile application acts as the second unit on the parents’ side. In comparison to the prior introduced systems, this system is designed to be a comprehensive system that combines most of the features that exist in the introduced systems. It especially enhances the commercially introduced systems by inaugurating the feature of indoor tracking for people monitoring. The system is designed to boost performance by linking the children to their parents through the merit of IoT technologies. Results show that the system successfully detects falling as well as exceeding the safe distance and immediately notifies the parents upon occurrence. The medical parameters have been effectively, monitored with percentage errors ranging from 0.3% to 9%.
Solar Filament Segmentation Based on AA-UNet

As a tracer of the solar atmospheric magnetic field, the solar filament is extremely important for studying the solar magnetic field. In order to solve the problems of low segmentation accuracy and noise in the existing filament segmentation methods, this paper proposes to replace the convolutional block with an axial attention block in the Encoder part based on the Unet structure. The AA-UNet network takes into account the contextual information among non-adjacent pixels, which helps to perform accurate segmentation. From the results of the comparison experiments in this paper, the proposed method can still achieve good segmentation results even in the case of uneven image quality. The Jac, MCC, and F1-Score metrics on our solar image data test set reach 0.63005, 0.77058, and 0.76659, respectively.
DESIGN OF FASHION-BASED TEACHING BOOKS INTERACTIVE E-BOOK IN THE LEARNING ERA BLENDED LEARNING

Learning that takes place in the Fashion Design Education Study Program is of course related to practical learning in the field of fashion. In the practicum learning process, students need a high level of understanding to carry out every step of making a dress. Learning that is regulated by blended learning has various obstacles including; restrictions on the number of practicum classes in class, different levels of student understanding, mastery of sewing skills that are not the same, inadequate learning tools and also internet network disturbances during online learning. This study aims to design interactive e-books to support blended learning. An e-book is a book that is programmed into a computer so that it can visualize abstract material into a visual form that can be animated so that students are more interested in the learning process. The development of interactive e-book media uses a 4-D development model through 4 stages, namely the Define stage, the Design stage, the Development stage and the Disseminate stage. Data collection techniques using questionnaires and observation sheets. The results showed that the average practicality test results were in the practical category and the effectiveness test was in the good category.
Specifics Of Teaching The Academic Discipline «Methods Of Teaching Socio-Political Disciplines In Higher Education Institutions»

The article analyzes the specifics of teaching the academic discipline «Methods of teaching socio-political disciplines in higher education institutions»&nbsp;at the second (master's) level of higher education in the specialty 052 «Political Science». The research proved that the future lecturer of socio-political disciplines must master the professional competences of teaching in higher education, the methodology of preparation and conducting of educational classes taking into account the achievements of pedagogical and psychological science, the requirements of didactics and own scientific interests in the context of the chosen profession. The key role in teaching the discipline plays the identification of regularities in the organization of the study of socio-political disciplines, as well as the connection of the educational material with the political practice of today, since it is an important and essential factor in consolidating and systematizing the knowledge of a future political scientist. The research substantiated that in order to improve the quality of teaching socio-political disciplines and develop competence among political science master degree students, it is necessary to apply professionally oriented teaching methods in situations close to the professional reality, as well as to practice the use of innovative active and interactive teaching methods based on the combinatorial approach. The research analyzed the peculiarities of conducting lectures and practical classes: all tasks on various topics are correlated with the previously completed assignments and complement them; most tasks are performed in small groups; the tasks assume a mandatory presentation of the results of the researched issues using a creative approach.
Motivational spheres of student youth in modern Russian society

The article analyzes the elements that make up the motivational field of student youth and determine its specificity in the context of the modern realities of Russian society. The subject of the research is the content filling of such elements of the motivational field in the basic directions of activity in the youth environment as the choice of a profession, the motives of interpersonal communication, the structure of extracurricular interests, and the motives for choosing a hobby, a spouse. The theoretical foundation of the research is the works of domestic and foreign authors of the socio-philosophical and sociological directions. Based on the goal and objectives, the work uses comparative analysis, interdisciplinary synthesis and other techniques of general scientific methodology. Based on the results obtained, it can be concluded that most higher education students have the ratio of biological and psychological age within the age norm.
Preface

Abstract The 2022 2 nd International Conference on Detection Technology and Intelligence System (DTIS 2022) was successfully held during October 21 st -23 rd , 2022 in Tianjin, China (virtual conference). DTIS 2022 brought together scholars, researchers, and engineers in Detection Technology and Intelligence System in a shared platform to present their inspiring researches and ideas, promoting scientific information interchange and cooperation. We were greatly delighted and honored to have Prof. Wenbing Zhao from Cleveland State University, USA to serve as our Conference Chair. The conference was composed of keynote speeches, oral presentations, and online Q&amp;A discussion, attracting 100 individuals from all over the world. Firstly, keynote speakers were each allocated 30-45 minutes to hold their speeches. Then in the oral presentations, the excellent papers we had selected were presented by their authors in sequence. During the conference, four sophisticated professors were invited to make keynote speeches. Among them, Prof. Ming Jiang from Sun Yat-sen University, China delivered a speech on Massive MIMO Beam Vector Assignment Based on Deep Learning and Location/Handover Information. And then, Prof. Wenbing Zhao from Cleveland State University, America addressed a keynote speech on the title Video-Based Baseball Pitch Type Recognition. Next, Assoc. Prof. Jun Xu from Wuhan University of Technology, China gave a report on Digital Transformation Enables Industrial Development. Last but not the least, Assoc. Prof. Gian Luca Brunetti from the Polytechnic University of Milan, Italy shared with us his research on The Quest for Integration of Detection Systems and Monitoring Systems in the Architectural Domain. All of the keynote speakers presented dramatic speeches combining their own research fields and experience, triggering heated discussion. Moreover, every participant praised this conference for disseminating insightful knowledge. List of Committee member is available in this pdf.
EXPLORING THE LINK BETWEEN JOB CHARACTERISTICS AND INNOVATIVE WORK BEHAVIOUR: AN IN-DEPTH REVIEW

The relationship between job characteristics and innovative work behaviour is reviewed in this study. The research identified task significance, task autonomy, task feedback, job complexity, and job resources as major antecedents of innovative work behaviour. The study gives an in-depth look at these job characteristics and their link to innovative work behaviour. The results show that innovative work behaviour is positively correlated with task significance, task autonomy, and task feedback, however the correlation between job complexity and innovative work behaviour is equivocal. Job resources, on the other hand, regularly have a beneficial impact on innovative work behaviour. These results have important implications for businesses looking to boost employee creativity. The article continues by emphasising the need of more research into the underlying mechanisms and moderating factors that may influence these connections. KEYWORDS: Job Characteristics, Task Significance, Task Autonomy, Task Feedback, Job Complexity, Job Resources, Innovative Work Behaviour.
An Approach to Recognise Odia Characters by Extracting Features from Fragmented Quadrants

The system introduced in this study concentrates on the recognition of Odia characters. The input to the system is an image in .jpg format which has been created by scanning a document or converting a document to an image by software. The document consists of all Odia alphabets written using the font family 'AkrutiOriAshok-99' in a particular font size in bold style. The font sizes that have been considered are 18, 20, 22, 24, 26, 28, 36, 48, and 72. The noise is removed and line texts are segmented from the input image. Then individual alphabets are segmented from a line text using the Character_Segment part of the system proposed in this study. Then the features are extracted from the segmented individual alphabet and the features are searched in the dictionary of features stored in an excel file for a correct match one by one. The proposed system is also responsible for creating the dictionary of features of all Odia alphabets. Hence, the system in this study has four parts, Segment_Line, Character_Segment, Build_Dictionary, and Recognise_Character. According to the testing results, the system proposed in this study has achieved a correctness accuracy of recognition of Odia alphabets of 99.8%.
Identification method of volcanic rock slices based on a deep residual shrinkage network

The identification of rock slices is the basis of geological research. However, due to the complex mineral composition and structure of volcanic rocks, microscopic analysis is difficult and requires a lot of time for professionals to complete. This paper uses deep learning technology, which has emerged in recent years, to explore a new method of intelligent rock slice identification to achieve automatic identification of volcanic rock slices. The deep residual shrinkage neural network model is used to study the intelligent recognition of volcanic rock slice images. The study investigated 11 basic types of volcanic rock and collected 12,000 high-definition images of rock slices using an electron polarized light microscope. Each image was processed via histogram equalization and image sharpening; data were expanded by random cropping; and the expanded image data were used as a training set to train the network. When the number of model layers reached 50 layers, the best accuracy rate was achieved. After a series of optimizations and improvements of the network model type, the accuracy rate of the test set classification results exceeded 92%.
The Speaking Disfluencies in the University Students’ Classroom Conversation

The main topic as the research focus in this study deals with the investigation of the category of the speaking disfluencies of the students of the English Study Program. To explore the types of the speaking disfluency produced by the students of the English Study Program of FKIP Universitas HKBP Nommensen Pematangsiantar in their classroom conversationThe design of this research is categorized to a qualitative design. The technique of the data collection is by participant observation. By this technique the researcher functions as the key instrument in the data collection. In collecting the data the researcher is acting as a substitute lecturer giving a subject in Interpersonal Speaking The results of the study present an analysis of data on the types of speech impediments produced by students of the English Study Program at the University of HKBP Nommensen Pematangsiantar FKIP in their speeches in speaking class. And find analysis data on how each type of speech disfluency is used by students of the English Language Study Program at the HKBP Nommensen University FKIPThe students of English program FKIP Nommensen University use all of the type’s disfluency such as Filler or Repairs, Repetition, Hesitation and False Starts. They use Fillers or Repair while they are having a speech in front of their classroom and occurs every five to eight words.
FENCE: A Real-Time Privacy-Preserving Solution for Enterprise Internet Forensics at Scale

In this demo, we present FENCE, a privacy-preserving, scalable solution for enterprise networks that continuously collects Internet access artifacts in real-time to help post-incident Internet forensics. We have built a data lakehouse to store these artifacts in a secure and compact query-friendly format. We implemented FENCE using open-source frameworks, deployed in a large enterprise with thousands of bring-your-own-devices (BYOD), and demonstrated that it works effectively in production environments.
CrossTrustchain: Cross-Chain Interoperability using Multivariate Trust Models

With an exponential increase in intelligent data-driven applications in recent times, ensuring the reliability of this massive amount of data poses a great challenge. Fortunately, the advent of blockchain technologies could enable enforcing as well as managing trust in a transparent and robust manner. A trust value associated with a user or data can help prevent fraud and improve user experience. The same user or data source (an IoT device) can be a part of multiple blockchains considering the many-to-one mapping of running applications to the user (or devices) in a practical scenario. In such an ecosystem, it is important to preserve the hard-earned trust of a user across different chains. However, limited interoperability among multiple blockchains restricts the reusability and transitivity of trust realization, which would otherwise be helpful in reducing the overhead to a great extent. This naturally raises an interesting question: “How to enable a seamless flow of trust from one chain to the other without compromising the privacy of the data that would conform to the specific characteristics of individual blockchain and preserve the integrity of trust value?” In this paper, we design a novel architecture called CrossTrustchain to facilitate the interoperability of trust across different chains to address the stated problem. We also look at how the multivariate trust model can be interoperated between different chains. Finally, we conduct performance benchmarking for a banking use case scenario on Hyperledger Caliper and presented interesting results to open up newer possibilities for further research in this direction.
Trajectory Planning and Data Collection of UAVs Over Disaster a Affected Areas

With the advancement of technology, UAVs have been widely used for civilian and commercial purposes like, military field, disaster areas, firming, etc. Proper planning of the UAVs trajectory is very important for proper and efficient utilization of such devices. Path planning is considered one of the critical tasks during data collection from devices deployed on the ground. In this paper, genetic algorithm (GA)-based energy efficient path planning algorithm is proposed for post-disaster scenario. Efficient chromosomes are designed for the problem. Fitness function is designed for the proposed GA.