Reviewerly/exHarmony huggingface dataset:
Topological Vortexes, Asymptotic Freedom and Multifractals

We study the Kelvinons: monopole ring solutions to the Euler equations, regularized as the Burgers vortex in the viscous core. There is finite anomalous dissipation in the inviscid limit. However, in the anomalous Hamiltonian, some terms are growing as logarithms of Reynolds number; these terms come from the core of the Burgers vortex. In our theory, the turbulent multifractal phenomenon is similar to asymptotic freedom in QCD, with these logarithmic terms summed up by an RG equation. The small effective coupling does not imply small velocity; on the contrary, velocity is large compared to its fluctuations, which opens the way for a quantitative theory. In the leading order in the perturbation theory in this effective coupling constant, we compute running multifractal dimensions for high moments of velocity circulation, in good agreement with the data for quantum Turbulence and available data for classical Turbulence. The logarithmic dependence of fractal dimensions on the loop size comes from the running coupling in anomalous dimensions. This slow logarithmic drift of fractal dimensions would be barely observable at Reynolds numbers achievable at modern DNS.
Developing universal design play program using 3D printers to develop children’s creativity and personality

본 연구는 국가수준 누리과정의 다양한 생활주제와 연계하여 교육현장 교사들이 유아의 창의·인성 함양을 위해 3D 프린터를 활용한 유니버설 디자인 놀이 프로그램을 개발하고 활용할 수 있는 방안을 제시하고자 수행되었다. 이를 위해 선행연구 및 문헌분석, 전문가 협의, 시안 개발, 현장적용을 통한 적합도 검증의 과정을 거쳤다. 본 프로그램에 대한 구체적 내용을 살펴보면 다음과 같다. 첫째, 프로그램 목표는 유아의 창의적 문제해결 능력 함양, 배려 능력 함양, 실천능력 함양, 협업능력 함양이었다. 둘째, 프로그램 내용은 만 5세 누리과정 생활주제와 연계하여 생활도구 ‘눈이 안보여 길을 다닐 수 없어요(시각장애인).’, ‘다리가 아파 걸어 다닐 수 없어요(노인).’, 교통수단 ‘안전하고 빠른 휠체어 교통수단’으로 선정하였다. 셋째, 프로그램 교수학습방법은 IDEO 디자인 씽킹 기반 디자인 놀이 프로세서 중심으로 교사의 발문, 토론, 자료 분석 등으로 하였다. 넷째, 프로그램 평가는 형식적 평가(문제해결능력, 표현능력, 태도)와 비형식적 평가(유아 언어표현력, 발표, 과정분석)로 구성하였다. 개발된 시안의 현장적합도 검증에서는 3D프린터 기술 및 교육 환경을 갖추는 것이 필요했으며, 실생활속 놀이를 확장하고 실천적 태도를 가지는데 긍정적인 반응을 얻을 수 있었다. 이러한 결과는 유아의 창의·인성 함양을 위해 교사의 주도성과 유아의 자율성 비중을 적절히 조율한다면 놀이중심 교육과정에서도 효과적인 접근이 될 수 있을 것으로 기대한다. This study was conducted to suggest ways for teachers in the field of education to develop and utilize universal design play programs using 3D printers to foster children’s creativity and personality in connection with various life topics of the Nuri curriculum. To this end, research and literature analysis, expert consultation, program development, and field application were conducted to verify suitability. The details of this program are as follows. First, the goal of the program was to cultivate the creative problem-solving ability of infants, to cultivate consideration ability, to cultivate practical ability, and to cultivate collaborative ability. Second, the contents of the program were selected as living tools “I can’t walk because I can’t see.” “I can’t walk because my legs hurt.” and “safe and fast wheelchair transportation” in connection with the life theme of the 5-year-old Nuri curriculum. Third, the program teaching and learning method was based on the IDEO design thinking-based design play processor, such as questioning, discussion, and data analysis by teachers. Fourth, the program evaluation consisted of formal evaluation and informal evaluation. In the process of verifying the field suitability of the developed design, it was necessary to have 3D printer technology and an educational environment. Positive responses were obtained by extending real-life play and having a practical attitude. These results are expected to be an effective approach in the play-centered curriculum if the proportions of teachers’ initiative and children’s autonomy are appropriately adjusted to foster creativity and personality of early childhood.
Legal and Judicial Dealings with Artificial Intelligence as an Inventor

In this article associated with an opportunity for the court to consider whether artificial intelligence can be an inventor. In this case, the development of AI technology in the United States where AI has already become inventors and innovators. In this article, there are appropriate explanations for the development of artificial intelligence technology in which artificial intelligence technology has been used in various aspects. In this scenario, the detailed concept of artificial intelligence, which was used as an advanced technology in human life, took place. In this context, a legal and judicial approach was taken regarding the innovation of artificial intelligence, and the importance of the research is due to the fact that artificial intelligence has become a reality to a large extent in human life, and it was necessary to clarify whether it should be considered an inventor or not. The research aims to define artificial intelligence and Clarify whether artificial intelligence can be considered an inventor or not, and indicate how the law deals with the innovation of artificial intelligence, and indicate whether artificial intelligence should be considered an inventor? The research adopts the critical analysis approach with the concept of legal personality, artificial intelligence systems, and arguments related to whether artificial intelligence can be considered an inventor or not.
Modeling and Analysis of TPACK Ability and Training of Primary School Teachers Integrating Information Technology in the Context of Mobile Internet

Mobile devices can make it easier for people to communicate and navigate information networks every time.Researching students' adoption of mobile learning is a crucial concern about broad technology possibilities.Courses of entrepreneurship are essential elements in the curriculum in the graduate program.Virtual realitybased user interfaces with hypertext systems (VR-UIHS) for collections of digital documents may be developed using a general technique presented in this study.Hence, this paper, Intelligent Mobile Assisted Entrepreneurship Learning System (IM-ELS), has been proposed to optimize the entrepreneurship education learning scheme and enhance students' structure of entrepreneurship expertise.Artificial intelligence has been used to track students' actions to enhance sustainable enterprise courses.The proposed method for maximizing the entrepreneurial education curriculum system is to improve student entrepreneurship structure and positively advance sustainable entrepreneurship education.Assumptions concerning meaningful learning in higher education and learning through hypertext are laid forth in this paper.In representing the Hypertext system graphically on information retrieval and structural modeling approaches.Associative networks are used to visualize the most important connections in the system.The user interface provides a consistent spatial paradigm that allows users to explore and browse the digital library's 3D virtual environment.The results show a strong learning outcome of 97.8%, enhanced interface usability of 95.7 %, estimation ratio of 98.4 %, the response of 96.1 %, an error rate of 17.6 %, a data transfer rate of 95.5 %, a performance rate of 91.8 %, and student happiness of 94.2 % all have a substantial impact on the implementation of mobile learning (m-learning) programs.
Artificial Intelligence-based English Vocabulary Test Research Using Log Analysis with Virtual Reality Assistance

Mobile devices can make it easier for people to communicate and navigate information networks every time.Researching students' adoption of mobile learning is a crucial concern about broad technology possibilities.Courses of entrepreneurship are essential elements in the curriculum in the graduate program.Virtual realitybased user interfaces with hypertext systems (VR-UIHS) for collections of digital documents may be developed using a general technique presented in this study.Hence, this paper, Intelligent Mobile Assisted Entrepreneurship Learning System (IM-ELS), has been proposed to optimize the entrepreneurship education learning scheme and enhance students' structure of entrepreneurship expertise.Artificial intelligence has been used to track students' actions to enhance sustainable enterprise courses.The proposed method for maximizing the entrepreneurial education curriculum system is to improve student entrepreneurship structure and positively advance sustainable entrepreneurship education.Assumptions concerning meaningful learning in higher education and learning through hypertext are laid forth in this paper.In representing the Hypertext system graphically on information retrieval and structural modeling approaches.Associative networks are used to visualize the most important connections in the system.The user interface provides a consistent spatial paradigm that allows users to explore and browse the digital library's 3D virtual environment.The results show a strong learning outcome of 97.8%, enhanced interface usability of 95.7 %, estimation ratio of 98.4 %, the response of 96.1 %, an error rate of 17.6 %, a data transfer rate of 95.5 %, a performance rate of 91.8 %, and student happiness of 94.2 % all have a substantial impact on the implementation of mobile learning (m-learning) programs.
Exploring the Impact of Digital Reform on Music Education in Colleges and Universities

Mobile devices can make it easier for people to communicate and navigate information networks every time.Researching students' adoption of mobile learning is a crucial concern about broad technology possibilities.Courses of entrepreneurship are essential elements in the curriculum in the graduate program.Virtual realitybased user interfaces with hypertext systems (VR-UIHS) for collections of digital documents may be developed using a general technique presented in this study.Hence, this paper, Intelligent Mobile Assisted Entrepreneurship Learning System (IM-ELS), has been proposed to optimize the entrepreneurship education learning scheme and enhance students' structure of entrepreneurship expertise.Artificial intelligence has been used to track students' actions to enhance sustainable enterprise courses.The proposed method for maximizing the entrepreneurial education curriculum system is to improve student entrepreneurship structure and positively advance sustainable entrepreneurship education.Assumptions concerning meaningful learning in higher education and learning through hypertext are laid forth in this paper.In representing the Hypertext system graphically on information retrieval and structural modeling approaches.Associative networks are used to visualize the most important connections in the system.The user interface provides a consistent spatial paradigm that allows users to explore and browse the digital library's 3D virtual environment.The results show a strong learning outcome of 97.8%, enhanced interface usability of 95.7 %, estimation ratio of 98.4 %, the response of 96.1 %, an error rate of 17.6 %, a data transfer rate of 95.5 %, a performance rate of 91.8 %, and student happiness of 94.2 % all have a substantial impact on the implementation of mobile learning (m-learning) programs.
Influence of Skills Impartation on Effectiveness of Employee Working From Home

Purpose: The study sought to analyze the influence of skills impartation on effectiveness of employee working from home.&#x0D; Methodology: The study adopted a desktop methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.&#x0D; Findings: The study found out that the switch to working from home may have a negative impact on worker’s mental health if they are unable to find a routine that works for them, if they do not have the right training, are struggling to separate work and home life or are feeling isolated. Managers need to train, encourage employees to develop a working routine, set up a dedicated work space and set boundaries for other household members. The study concludes that training needs assessment affects the performance of employees to a large extent as demonstrated by all the factors of training needs assessment to a large extent affects employee performance. This is because training is appropriate when an organization is expected to gain more benefit from the training than it invested in its cost.&#x0D; Unique Contribution to Theory, Practice and Policy: The study would be useful to academicians and researchers wishing to carry out find research as to contribute to existing literature in the field of training therefore add knowledge and stimulate further research in other aspect of training. Potential investors would also benefit, as it would be 14 a source of ready information for making a sound decision. The study would also provide in depth knowledge of training as one of the elements affecting employee performance.
ALTERNATIVE LEARNING SYSTEM PRACTICES, ASPIRATIONS AND PROSPECTS: A FRAME TO REVIEW

Globally, education has long been regarded and acknowledged as a key ally in the pursuit of full human development. It has been compared to educational reforms, which emphasize how crucial it is for everyone to be academically competent. In all areas of human activity, it also plays a significant part as a tool for massive advancement and revolution. It can be argued that, in the broadest sense, it is just as important as any of a persons essential requirements. KEYWORDS: Alternative Learning System, Teaching Strategies, Project for Implementation
<i>Auditory Perception &amp; Cognition</i> Call for Papers: Special Topic Auditory Learning and Training

"Auditory Perception & Cognition Call for Papers: Special Topic Auditory Learning and Training." Auditory Perception & Cognition, ahead-of-print(ahead-of-print), p. 1
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Morressier • Number of submissions received: 22 • Number of submissions sent for review: 21 • Number of submissions accepted: 18 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 81.8 • Average number of reviews per paper: 1 • Total number of reviewers involved: 4 • Contact person for queries: Name: Komariah, PhD. Email: komariah@staff.uns.ac.id Affiliation: Sebelas Maret University
ECO-LEACH: A Blockchain-Based Distributed Routing Protocol for Energy-Efficient Wireless Sensor Networks

This paper proposes a novel architecture based on blockchain technology to enhance the dependability and safety of wireless sensor networks (WSN) by authenticating WSN nodes.In a WSN, sensor nodes collect and transmit data to cluster heads (CHs) for further processing.The proposed model employs the distance and residual energy-based low-energy adaptive clustering hierarchy (ECO-LEACH) protocol to replace CHs with ordinary nodes and the Interplanetary File System (IPFS) for storing data.In addition, consensus based on proof of authority (PoA) is used to validate transactions, reducing the computational cost associated with proof of work.The proposed system was evaluated using simulations with 300 sensor nodes and compared with other protocols, including LEACH, DDR-LEACH, PEGASIS, and LEACH-PSO.The simulation results showed that the proposed ECO-LEACH outperformed the other protocols in terms of energy consumption, throughput achieved, and network lifetime improvement.Specifically, the proposed system consumed 23.5J for 300 sensor nodes, achieved 687.5 kbps, and improved the network's lifetime by 4.12 seconds for 50 rounds.Overall, this paper provides a reliable and secure solution for authenticating WSN nodes, enhancing data transfer safety, and dependability.The proposed architecture offers a promising approach for addressing the challenges of WSN design using blockchain technology and PoA consensus.The comparative analysis shows that the proposed ECO-LEACH protocol outperforms other protocols in terms of energy consumption, throughput achieved, and network lifetime improvement for 300 sensor nodes.
ICE-GCN: An interactional channel excitation-enhanced graph convolutional network for skeleton-based action recognition

Abstract Thanks to the development of depth sensors and pose estimation algorithms, skeleton-based action recognition has become prevalent in the computer vision community. Most of the existing works are based on spatio-temporal graph convolutional network frameworks, which learn and treat all spatial or temporal features equally, ignoring the interaction with channel dimension to explore different contributions of different spatio-temporal patterns along the channel direction and thus losing the ability to distinguish confusing actions with subtle differences. In this paper, an interactional channel excitation (ICE) module is proposed to explore discriminative spatio-temporal features of actions by adaptively recalibrating channel-wise pattern maps. More specifically, a channel-wise spatial excitation (CSE) is incorporated to capture the crucial body global structure patterns to excite the spatial-sensitive channels. A channel-wise temporal excitation (CTE) is designed to learn temporal inter-frame dynamics information to excite the temporal-sensitive channels. ICE enhances different backbones as a plug-and-play module. Furthermore, we systematically investigate the strategies of graph topology and argue that complementary information is necessary for sophisticated action description. Finally, together equipped with ICE, an interactional channel excited graph convolutional network with complementary topology (ICE-GCN) is proposed and evaluated on three large-scale datasets, NTU RGB+D 60, NTU RGB+D 120, and Kinetics-Skeleton. Extensive experimental results and ablation studies demonstrate that our method outperforms other SOTAs and proves the effectiveness of individual sub-modules. The code will be published at https://github.com/shuxiwang/ICE-GCN .
Analysis of Factorial Function for Non-Negative Real Numbers

The real numbers between any two non-negative integers are positive and infinite. This paper analyzes the numerical values of factorial function between any two non-negative integers. This analysis can help to find and correct the numerical error computed by the gamma function.
Image Processing Results of Chlamydia Pneumonia X-Ray

&lt;p&gt;This paper presents the collection of 154 new images and results, obtained after performing many known image processing algorithms and digital image transformations techniques like adding noises namely Gaussian with variances, Poisson and speckle with variances; double precision, methods of Sobel, Prewitt and Robert; de- hazing algorithm, pixel intensities, vector quantization, k-means clustering, fuzzy logic and morphological segmentation. Images used in this paper are two X-Rays having the lateral and Posterior to Anterior (PA) views of the patient’s lungs who was diagnosed from Chlamydia Pneumonia which is a lung infection caused by bacteria of family Chlamydiaceae and order Chlamydiales, which causes respiratory tract infections and illness by damaging the lining of the respiratory tract including the throat, windpipe, and lungs. Chlamydia pneumoniae is a small gram-negative bacterium (0.2 - 1 μm). All results are included in the paper as well as separate images have also been uploaded on the open-access page. The data has been analyzed with histogram and mathematical polynomial fitting equations and matrices have been also submitted which can used in the digital testing of machines or computer diagnostic solutions. As these results reveal certain patterns, these further processed X-Ray results can help researchers or doctors in understanding ailment or diagnosing and to pharmacologists in making medicine or machine/therapy.&lt;/p&gt;
A Study of Some New Statistics on the - non-Deranged Permutations

In this study, we looked at some novel statistics on the -non deranged permutation group, a symmetric group subgroup. We analyzed and redefined some of the statistic namely Lmap, Lmal, Rmip, Rmil and Rmal on -non deranged permutations. We found that in all -non deranged permutations, Lmap is equivalent to Lmal. In addition, we observed that Rmal of is empty for any and other combinatorial features.
Investigating librarians’ intention to use artificial intelligence for effective library service delivery: A partial least square-structural equation modeling-based approach

Due to the information exploration coupled with the increased number of library users across the globe, servicing the users efficiently and in a simple manner became difficult, leading librarians to think of a better alternative. Artificial intelligence is one of the best options to mitigate issues of inefficient service delivery but has not been used enough in most Nigerian academic libraries and specifically North-eastern Nigerian academic libraries. This research, therefore, aims at examining the factors that can influence the librarians’ intention to use artificial intelligence in their libraries for better and more efficient service delivery to library patrons using the theoretical lenses of the Theory of Plan Behaviour (TPB). A quantitative method using a cross-sectional approach was adopted and a questionnaire was used as an instrument for data collection. Three federal university libraries from North-eastern Nigeria were covered and 242 professionals and para-professionals librarians composed the population of the research. G*Power application was used to estimate the minimum sample size of the research amounting to 119 samples thus, a proportionate stratified random sampling technique was used in obtaining the sampling. Statistical Package for Social Science (SPSS) version 20 and Partial Least Square – Structural Equation Modelling (PLS-SEM) were used to analyze the data. The findings revealed that TPB’s theoretical variables were positively significant factors that influenced the librarians’ intention to use Artificial Intelligence in their respective libraries. Equally, the finding further revealed that the librarians indicated a high intention to use artificial intelligence in their libraries. The use of more advanced theory, the inclusion of more samples and considering a specific artificial intelligence tool were recommended for future research.
EVALUASI TUTUPAN LAHAN PASCA PENETAPAN KAWASAN TAMAN BURU MASIGIT KAREUMBI (TBMK) BERBASIS SISTEM INFORMASI GEOGRAFIS

Masigit Kareumbi Game Park (Taman Buru Masigit Kareumbi or TBMK) is a conservation forest that can be used to accomodate game tourism with 12.42070 ha area. In 1998, PT. Prima Multi Sarana (PMS) was given permission to conduct pine resin extraction in 2005 in TBMK area of PT. PMS; however they disobeyed the code of conduct by taking away the wood forest products (Hasil Hutan Kayu or HHK) causing forest damage that leading to the change of land cover in TBMK area. The purpose of this research is to find out how much change of land cover in TBMK after the game park establishment, and the factors that affect the change. This study used spatial data method with SIG system and Snowball Sampling technique in getting respondents’ samples. The result showed that TBMK in Cimanggung Adminiatrative Area had 468,66 ha land cover change in each closing type area from 1997 to 2017. The factors that cause the change of land cover in TBMK are the misuse of permission by PT. PMS, farmers activities in the area, unsettled area border, the lack of area guard and the socialization for the villagers, and the weakness of law enforcement