bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis on the Thinking Innovation of Ideological and Political Education Based on the Theory of Blockchain in the Information Age
Authors: Liu Xiaoyu , Wang Lin
Published: February 2024

Blockchain is the systematic integration innovation of distributed accounting, consensus mechanisms, point-to-point transmission, encryption algorithms, intelligent contracts and other technologies, providing a solution for information security and social trust in the Information Age. The principles, characteristics and deep thinking of Blockchain technology can promote thinking innovation and solve the existing obstacles, including the weak effectiveness of education activities, the burnout of education subjects and the lack of mutual trust in the field of ideological and political education. This paper focuses on analyzing the expanded application of Blockchain theory in ideological and political education. The fit of blockchain technology application of educational thinking innovation and value orientation is 0.928; there is a linear relationship, and after applying blockchain technology for one year, the difference between the students’ thinking tendencies and the six aspects of their performance, except for the desire for knowledge, is statistically significant (P<0.5) when compared with the situation of the students one year ago. In addition, it is emphasized that we should build Learn Ledger, promote the participation degree of education subjects, establish a new interactive trust mechanism and intensify endogenous incentives to promote the deep transformation of ideological and political education, enhance the effectiveness of educational content, expand the participation in educational activities, and strengthen the multi-subject trust-relationship reconstruction of ideological and political education.
Evaluation of Ecological Efficiency and Analysis of Its Influencing Factors in Provincial Coastal Regions Using Integrated Super-Efficiency DEA and Tobit Models
Authors: Zhang Yu , Wu Yonghe
Published: February 2024

With the rapid development of the Chinese economy, the demand for resources has increased significantly, putting the environment under increasing pressure. Effectively using various resources has become crucial. This study employs the Super-Efficiency Data Envelopment Analysis to assess ecological efficiency during the same period and conducts a residual analysis on cities with high efficiency but not efficiently analyzed by Data Envelopment Analysis. The primary objective of this approach is to investigate the potential ecological development of these regions. The dynamic assessment of ecological efficiency is done using the Malmquist index, which takes into account changes in the total factor output growth rate. To investigate factors that affect ecological efficiency and their magnitudes, a Tobit model is being established using panel data. From 2017 to 2022, there were changes in ecological benefits among cities in Zhejiang Province due to intense competition between high-efficiency cities and frequent position changes, as evidenced by the results. The gap between cities with middle to low efficiency is narrowing, which suggests that ecological benefits are being balanced in the province despite a decreasing trend. Both the degree of openness and the proportion of asset investment have a significant and positive impact on ecological efficiency. Enhancing interregional communication, optimizing resource allocation, increasing openness, and adjusting industrial layout is essential to sustain technological innovation and progress.
An empirical study on the assessment of college students’ student work based on group decision-making model in colleges and universities
Authors: Li Junfei
Published: February 2024

The assessment of college and university counselors and student management team has been one of the important issues that colleges and universities are concerned about. This paper applies the group decision-making model to the assessment of college counselors’ student work, and establishes the group decision-making model of college counselors’ assessment work according to the actual work of counselors. Attitude consensus threshold is set, and ACT is combined with individual feedback parameters to realize the balance between individual minimum correction and group consistency. And the method of mutual evaluation and scoring by five appraisal subjects is used to construct Markov matrix, and then the limit distribution of the matrix is found through linear weighting. Finally, the appraisal of 105 counselors was empirically analyzed, and the group decision-making model was used to give practical significance to the five appraisal items, namely, sense of efficacy, dedication, leadership, innovativeness, and executive power, one by one. The results show that for the 205 college counselors tested in the appraisal, the mean value of the student management work ability index is 30.55, and the maximum value is 90.95, and the results of this appraisal pass the test and have practical reference significance.
Biomechanical analysis of the danger of the whip-leg striking maneuver in martial arts sparring bouts
Authors: Zhou Shuang
Published: February 2024

This paper recognizes the human motion in martial arts movements based on the LSTM recurrent neural network algorithm, which uses signal statistics to extract the action time series features through the data collection from the relevant human motion sensors in order to effectively recognize the athletes’ movements. The parameter settings of the LSTM neural network model are optimized using an improved particle swarm algorithm. The experimental process is then created. After filming the video, it is divided into two documents, A and B, and saved. The experimenter’s actions undergo technical analysis using LSTM. Three groups of athletes were invited to carry out the actual test after the design was completed, and biomechanical analysis was performed based on the experimental data. The experiments showed that the activation of the left medial femoral muscle of the athletes was greater than that of the left lateral femoral muscle, and the root mean square of electromyography was 25.38±11 and 27.54+11, respectively. The angle of the left leg was 69±2.5, and that of the right leg was 71±9.2, which was more than 80% of the safe rotational amplitude. It is easy to cause sports injury if there is too much difference in the activation level of leg muscles during whiplash.
Strategic Research on English Teaching Reform in Colleges and Universities Supported by Artificial Intelligence Technology
Authors: Wang Pingfang
Published: February 2024

The emergence of new technologies and new means has brought unprecedented opportunities for college teaching, and the traditional college teaching mode can no longer meet the current needs of English teaching. This paper analyzes the current English teaching mode in colleges and universities by using the S-T teaching analysis method and constructs the S-T behavioral sequence of English teaching in colleges and universities by coding the samples in classroom teaching videos. Utilizing Markov chain to evaluate the drawbacks of traditional college English classroom teaching enables reflection and modification of English classroom teaching methods and specific teaching links. Classify English classroom teaching behaviors according to S-T teaching behavior coding, establish a link between teachers’ comprehensive control level in the classroom and the area of the teaching behavior cloud, and judge teachers’ comprehensive control level according to the area of the cloud. The proposed teaching reform strategies are based on an analysis of English teaching problems in colleges and universities. The results show that under the reformed English teaching, students’ English performance has been transformed for the better, and Class 7 has the highest English performance, with an average score of 140.73 and a score grade of A. In each teaching case extracted, the teacher’s active interaction with the students is kept above 55 times, and the number of student’s active interactions with the teacher is above 65 times.
The Impact of Big Data Analytics Capabilities on the Diversification of E-Commerce Firms
Authors: Ma Mengyuan , Huang Yefeng
Published: February 2024

With the arrival of the big data era, e-commerce enterprises are facing more and more competition and market changes. A fuzzy clustering model is created by combining fuzzy set theory and fuzzy logic with a clustering algorithm in this paper. Then, for the shortcomings of the fuzzy C-mean clustering algorithm, the genetic simulated annealing algorithm is used to weight the data points, the fuzzy C-mean clustering model is improved, and a fuzzy clustering algorithm based on the genetic simulated annealing optimization is proposed. By using this algorithm, e-commerce enterprises’ diversification is being analyzed. The results show that the mean and standard deviation of each supply chain inventory, production orders, supplier ordering, and platform ordering quantity after optimization are reduced to different degrees, some of which reach more than 60%. Stabilizing the development of e-commerce enterprises can be achieved by reducing supply chain inventory and order quantity. E-commerce enterprises that excel in their enterprise production quality (0.741), credibility (0.748), and product sales competitiveness (0.726) are more competitive. E-commerce enterprises can utilize the ability of big data analysis to achieve diversification.
3D Animation Production and Generation Based on Human Body Base 3D Models
Authors: Wang Lei
Published: February 2024

With the gradual increase in the demand for parametric human 3D models, the requirements for the accuracy of modeling and the quality of generation are getting higher and higher. In this paper, the human body structure model is constructed by 3D human posture estimation and spatio-temporal graph convolutional network, and after normalizing the data of the human body base, the 3D human body model based on the human body base is generated by combining the free deformation method, and the local light model is used to make the human body model more three-dimensional and real. In addition, the quality of 3D animation production is investigated by combining blind quality evaluation and validation analysis of the human body-based 3D model. The 3D human body modeling simulation error assessment has an error assessment root-means-square error that falls within 1.5%. In the validation analysis of model generation quality, the quality evaluation model proposed in this paper has a quality correlation coefficient and prediction accuracy of 0.9456 and 0.9454 on the dataset, respectively, and the performance of the ablation experiments and generalization experiments is stable. The mean value of the error between the animation production character generation effect and the actual testers is not more than 10mm.Combined with the research in this paper, it effectively improves the accuracy of human body modeling and provides an evaluation method for the quality of human 3D animation production and generation, which is of practical significance for its development.
Exploring Contemporary Calligraphic Creation and Aesthetic Characteristics Using Topological Data Analysis Methods
Authors: Shen Mingjie
Published: February 2024

In the process of digitization in today's society, the organic combination of technological means and traditional arts, such as calligraphy culture, is a topic that China is facing. The topological data analysis method is used in this paper to conduct an in-depth study on the creation and aesthetic characteristics of contemporary calligraphy, taking into account the situation above. In this paper, the topological data analysis method is first utilized to calculate the position of the critical points in the vector field and draw the topological structure of the vector field. The Jacobi matrix is computed, and the numerical solutions of the eigenvalues and eigenvectors in the matrix are used to pinpoint critical points. The TDA algorithm allows for the visualization and modeling of aesthetic features in contemporary calligraphy creation using the data required for the acquired bulk body model. The aesthetic features of calligraphy creation are analyzed through simulation experiments in the end. The results of simulation experiments show that the TDA algorithm completes the convergence before 500 iterations under a 4-fold filter, the nodes are mainly concentrated in the range of [500, 1000], and the convergence speed is the fastest among the five algorithms. Testing the topological data analysis algorithm for the recognition performance of aesthetic features of calligraphy creation, the recognition rate of TDA is as high as 98.30%, which has a good recognition effect.
Corpus Microtext Analysis and English Teaching Model Innovation in Cloud Computing Background
Authors: Huang Chunying
Published: February 2024

The rapid development of cloud computing technology makes the English teaching corpus an excellent choice for innovative English teaching mode. This paper constructs a corpus of English teaching resources and English O2O teaching mode based on MOOC education platform, combines the probabilistic semantic analysis (PLSA) model with the potential semantic indexing to carry out microtext analysis of the English teaching corpus, and solves the PLSA model by using the expectation (EM) algorithm. For the English teaching corpus and English O2O teaching model constructed in this paper, a validation analysis was conducted in three aspects: micro text analysis, text lexical ability and teaching satisfaction. The results show that the PLSA model is able to obtain complete sentence expressions in the microtexture of the corpus when the weight coefficient of the lexical items is set to 0.3. The text vocabulary ability of students in English O2O teaching mode shows a significant difference level at 1% level, and the correlation coefficient of in-class to pre-class reaches 0.889. The English teaching corpus relying on MOOC platform and O2O teaching mode can effectively enhance students’ deep understanding of English sentences, improve students’ satisfaction with English teaching, and enhance students’ interest in learning English.
The Practice and Application of Philosophical Thought of Music Education in the Information Age in the Education of College Music Curriculum
Authors: Feng Jinghua
Published: February 2024

Taking the philosophical view of music education as an entry point, this paper investigates the relevance of music education and philosophical thought from three aspects, focusing on the compatible philosophical view of music. Based on the random forest algorithm under machine learning, the music data samples are classified, and the algorithm is chosen to be optimized and improved when the dimension of music features is high. Using the extreme gradient boosting algorithm, the model is penalized to avoid the phenomenon of overfitting during the operation process. The RF-XGBoost hybrid music recommendation algorithm is proposed to help students learn personalized music by combining the two models mentioned above. Utilize ICT integration technology to combine music education and information technology in order to create the M-ICTPACK model. Create music simulation experiments to evaluate the impact of the music recommendation model proposed in this paper. Based on the idea of music education and philosophy, design music teaching content that meets the needs of students in colleges and universities and analyze its impact. The results show that in the music simulation recommendation effect, the smallest gap between the recommended musicians and the type of interest of the students is only 0.00001. The same student scores differently in music skills in different periods of music learning, and after 9 months of learning, except for the learning interest score of 79.365, the scores of all other aspects are more than 80. This paper proposes more effective philosophical ideas for music education in music curriculum education.
Research on Efficient English Teaching Model Combining Corpus Microtext Analysis
Authors: Tang Yong , Chen Hongping
Published: February 2024

Aiming at the goal of improving the quality of English teaching and combining the characteristics of English teaching, this paper constructs an efficient English discursive literacy teaching based on corpus micro-text analysis. Utilizing the unique advantages of online corpus to assist English teaching, it proposes the targeted teaching of English metaphorical vocabulary and combines the Word2Vec word embedding model and the cosine similarity algorithm to propose a model for analyzing the quality of English text coherence. Based on the characteristics of writing vocabulary in microtexts of the corpus, the analysis integrates the dimensional features of English writing vocabulary teaching. The effectiveness of the corpus-based efficient teaching model for English literacy teaching is verified through teaching practice, specifically utilizing the average values of pre- and post-tested vocabulary, sentences, and chapters of the two classes as comparison data. The results proved that the average value of the pre-test scores of all students in the experimental class is 7.78, and the average value of the post-test is 10.72, which is 2.94 higher than the pre-test. The English teaching model in colleges and universities based on corpus micro-text analysis can significantly improve the English writing level of students and achieve efficient English teaching.
A study of the multipoint boundary value problem for nonlinear differential equations of arbitrary fractional order based on the fixed point theorem for composite nonlinear operators
Authors: Luo Jiongxing
Published: February 2024

The existence and distinctiveness of solutions, as well as the iterative approximations of the distinctive answer to the initial boundary value issue of nonlinear differential equations, may be solved with the help of the theory of nonlinear operators, which offers a strong theoretical guarantee and a fundamental tool. In this work, we examine the fixed point theory for composites nonlinear operators, which may offer a fresh approach to solving linear differential equations having arbitrary order fractional multipoint boundary value problems. The existing result of the boundary value issue’s solution is confirmed by the fixed point theorem for composites nonlinear operators, and the four-point boundary value problem for fractional-order linear equations of the Riemann-Liouville type is examined. A group of fractional-order nonlinear differential equations with deviating quantities are examined to examine the presence of an unusual positive solution for this boundary value problem. The existence of this unique positive solution is determined by the use of both the mixed monotone operator and the combined nonlinear operator fixed point theorem. Ultimately, the nonlinear Bagley-Torvik equation with a fractional order variable coefficient four-point boundary value problem is converted into a Fredholm-Hammerstein integral the formula of the second type with weakly singular or continuous kernels, and the fixed point principle is used to demonstrate the uniqueness of the solution in the space of continuous functions. Approximate solutions are provided for the second class of nonlinear Fredholm-Hammerstein integral equations with weakly singular kernels. The outcomes demonstrate the applicability and validity of the fixed point theorem to composite nonlinear operators, offering a fresh approach to solving the multipoint boundary value issue for nonlinear differential equations of any fractional order.
Research on the Construction of Intelligent Robot Path Recognition System Supported by Deep Learning Network Algorithm
Authors: Ni Kan , Cao Yu , Jiang Xiongwen , Zhang Haolan , Seiji Hashimoto , Ni Qiyu
Published: February 2024

In this paper, a new intelligent robot path recognition system LADDPG, is constructed by extending the DDPG algorithm with the support of the deep learning network algorithm. The path recognition system is optimized by using the memory system and the decision module guided by the attention mechanism, which solves the problems of the existing DRL intelligent robot path recognition method that cannot store long-time memory and the training time is too long. The system in this paper is validated by conducting path recognition experiments under different road conditions and conducting dynamic obstacle avoidance test experiments. The system can maintain excellent noise immunity and a short path recognition time of 51 ms under the conditions of missing road conditions, circuitous road conditions and large curvature, and in the presence of multiple dynamic obstacles, the system can maintain a collision rate close to 0 while maintaining a very high success rate of 0.98, and the required path recognition time is much lower than that of other methods, with an average reward value of 0.4151. This paper’s system is highly accurate in recognizing intelligent robot paths and has high application value and capability.
Development path of college labor education based on big data platform in the context of health psychology
Authors: Li Congcong , Wang Xuehui
Published: February 2024

Labor education is an important content of quality education, and the promotion of higher education cannot be separated from the implementation and practice of labor education. The labor education platform and labor education resource base in colleges and universities are established using the big data platform, which combines Hadoop technology and the HBase database. In order to help students obtain labor education teaching resources more efficiently on the labor education platform, reinforcement learning is combined with a deep neural network to optimize the scheduling of teaching resources, and α -the dispersion recommendation algorithm is used to realize personalized recommendations of teaching resources. With regard to the effectiveness of the labor education platform, load testing and application effects were carried out, and the influencing factors of labor behavior and craftsmanship cultivation of college labor education students were analyzed in depth. The labor education platform’s transaction response time increases by 22.5 seconds when the number of users reaches 5000, according to the results. The personal motivation for craftsmanship in the process of labor education will be affected by the campus culture, and its correlation coefficient is 0.565, and the student’s satisfaction with the platform of labor education reaches 0.825. The innovation and development of labor education in colleges and universities need to fully rely on the big data platform to promote the optimization and sharing of labor education resources and to promote the development of labor education resources. The cultivation of student labor creation and craftsmanship can be ensured through the optimization and sharing of educational resources.
Portfolio Optimization Strategy Based on Risk Diffusion Model in Emerging Industry Development
Authors: Ni Shuangqin , Wang Shen
Published: February 2024

In this paper, we first sort out the formula of the premium principle and the algorithm of the diffusion model and then study the strategy problem about optimal investment consumption and insurance purchase when investors invest in new developing industries under the risk diffusion model. In real financial markets, there are two types of uncertainty regarding asset prices: normal fluctuations and abnormal shocks. The risk diffusion model is used to plan the optimal investment strategy based on this basis. In the end, three tests are executed, including two numerical simulations and one investment analysis that determines the investor’s age. The computational results show that the optimal strategy in the first set of simulations is the 56% increase in investment volume A(x) at the parameter σ = 0.1. The standard deviation of the investor’s objective in the second set of simulations is 9.287%, and the investor’s assets invested in risky securities should be 1.071. In the third set of tests, as the investor’s age increases, the value of the investor’s investment in risky assets continues to decline from 2.0 after 30 years, and by the time it reaches 40 years, it is already close to 0.25, and there is a continued decline, converging to 0. Investors can invest in providing effective reference data by investing in the portfolio optimization strategy in this paper, which predicts stock market volatility and vibration.
Supporting Military Families
Authors: Spanner Leigh
Published: February 2024

TBA
Power and Culture Change in the Military
Authors: Shoemaker Meaghan
Published: February 2024

TBA
Women’s Deployment Experiences
Authors: Biskupski-Mujanovic Sandra
Published: February 2024

TBA
Escribir es tallar el alma
Authors: Méndez Velásquez Wendy Vanessa
Published: February 2024

El presente capítulo es un recorrido por la metodología empleada para el desarrollo de la investigación y la recopilación de historias y experiencias de algunos soldados regula-res y profesionales del Ejército Nacional que permitieron la construcción del presente libro. De este modo, el enfoque cualitativo no solo fue idóneo para la aplicación de los instrumen-tos (cartografía corporal, entrevista semiestructurada, historias de vida y métodos biográfi-cos), sino que, además, permitió obtener una visión general y particular de las concepciones y configuraciones de sus protagonistas. Entre tanto, se desarrolla una serie de postulados importantes desde lo metodológico, pero, sobre todo, desde lo experiencial del trabajo de campo, en los territorios de La Guajira y Amazonas, y desde la apuesta por indagar en la subjetividad de los soldados detrás del uniforme. Se evidencian, también, las articulaciones de las realidades vividas en el territorio, como los procesos de gestación que van ocurriendo de modo más bien relacional y a través de la articulación con el lenguaje, donde los lugares de enunciación y la escritura fueron protagónicos.
The reality of e-Learning: Success and failure of learning management system
Authors: Dahal Niroj , Manandhar Netra Kumar
Published: February 2024

A learning management system (LMS) is a digital learning platform for developing, delivering, and managing courses, learning resources, activities, and assessments (to name but a few). Traditional classroom-based, online, blended, and distance learning are all possible learning methods that could be executed in LMSs. Learning management systems and associated tools have brought significant benefits to higher education institutions worldwide, including improved content deliverability, accessibility, and retrievability. This is also valid in the case of Kathmandu University School of Education (KUSOED), Nepal. In 2011, KUSOED launched LMS and continued online and blended learning practices. The LMS follows a social constructivist approach to education, allowing educational stakeholders (parents, students, leaders, facilitators) to engage in learning activities to scaffold the learning experiences. However, the perception of LMS as only a management system for storing data limits the implications of fostering learning through a technology-integrated education model. This article aims to discuss the success and failure aspects of LMS in the context of the KUSOED. The discussion will cover various perspectives on LMS as an emerging learning technology and draw conclusions based on our experiences at KUSOED. For the success aspects of LMS, we discovered four factors: sign-in, resources and learning management, content management, and integration. Nevertheless, for the failure aspects, we found content creation and sharing, communicative features, course structures, learning engagement, and assessment. Overall, this research has implications for educational institutions, instructors, developers, and system providers. These stakeholders can make more informed decisions about implementing and using these systems to their fullest potential in learning.
Clockify and BOT Telegram Integration in Employee Performance Measurement Applications Development
Authors: Faisal Alfareza  , Addin Aditya
Published: February 2024

Employee performance can go up and down without realizing it because of an understanding of theconcept of performance and concern for the achievement of underperformance. Poor performancedecreases productivity and if left unchecked, employees can be judged as not credible in carrying outtheir work. The Organization has not paid attention to these employee performance issues becausethere is no reporting system that allows employees to track the ups and downs of performance basedon their operations (productivity). The Clockify app as a daily operational tool cannot be used as abenchmark for performance improvement or decrease, so it does not offer any real motivation foremployees to gradually improve. Quantitative data analysis was carried out based on informantinterviews, employee observations of Clockify, and studies of Clockify output documents themselves.This research aims to identify the problem and develop a system to solve it. It is a system tocomplement Clockify's capabilities in visualizing employee performance and preventing continuousdecline due to unconsciousness. Build an employee productivity reporting system using Google AppsScript, Telegram Bot, and Clockify to present productivity reports in a graphical representationinstantly and systematically, helping employees see performance as an increase and decrease andpreventing continuous decline with a productivity analyzer service that calculates employeeproductivity based on a quantity of daily work that can be tracked and accounted for accuracy.
SME Performance: Ability to prepare financial reports based on SAK ETAP and financial literacy (Empirical study of SMEs in the city of Serang)
Authors: Puspita Maelani  , Najmudin  , Asep Yana Yusyama  , Mohamad Husni
Published: February 2024

The background of this research is that SME managers in preparing financial reports based on SAKETAP, the managers are given training and assistance by the Department of Cooperatives, SMEs,Industry and Trade of Serang City, but the managers still focus on production without payingattention to recording financial transactions, thus hindering the managers in carrying outdevelopment, evaluation, and decision making. The formulation of the research problem is whetherthere is an influence between the ability to prepare financial reports based on SAK ETAP on theperformance of SMEs and financial literacy as a moderating variable. The aim of this research isto test and analyze whether there is an influence between the ability to prepare financial reportsbased on SAK ETAP on performance and financial literacy as a moderating variable. The researchmethod uses quantitative methods, the SMEs population in Serang City was taken using purposivesampling, hypothesis testing used PLS. The finding that the ability to prepare financial reportspossessed by managers in Serang City affects performance, this is due to the intensive training andmentoring carried out by the cooperative, SMEs, industry and trade services but SMEs managershave not been able to prepare it. general financial reports with financial literacy awareness. Thisresearch concludes that the ability to prepare financial reports and financial literacy have a positiveinfluence on SMEs performance, while the ability to prepare financial reports mediated byfinancial literacy has no effect on financial literacy.
An object in the interior design as a concept of integrating decorative and applied art into the design of premises
Authors: Mikhailenko Anastasiia
Published: February 2024

The subject of the research is the types of decorative and applied art, the connection of decorative and applied art with the interior design of residential and public spaces. Special attention is paid to the fact that in modern interior design, the tendency to transform interior space using decorative and applied art objects is widespread, which determine the overall style of the room, despite the particular academic design style used in the project. The author examines in detail such aspects of the topic as the influence of the author's thing on the exclusivity of the project, giving a typical interior individuality by including an object of decorative and applied art made specifically for this room, or competently selected by a specialist taking into account the specifics and purpose of the room, the transformation of the project from a typical to an individual one. The author analyzed and systematized modern methods and techniques of introducing the author's art into the interior design of premises for various purposes. Based on the results of the study, a general methodology was formed and proposed for integrating things into the interior of the proposed spaces, the concept of transforming rooms using objects and techniques of decorative and applied art. The main conclusion of the research is that the author's art object of decorative and applied art, created in a certain way and integrated into the interior design, allows to form a certain concept of a thing in the interior, a philosophy or even your own unique and recognizable author's style. The novelty of the research lies in determining the current trend of integrating handmade objects into the interiors and spaces of residential and commercial premises for various purposes in order to give uniqueness, which contributes to the development of the design industry and art in general.
Review of Contemporary Methods for Reliability Analysis in Aircraft Components
Authors: Ramachadran Anil , Rambabu S. , Swathi Pratha P. , Vamsi Krishna U. , Ramdin Robin , Krishna Menon Vijay , Jayaramakrishnan Chandrasekhar , Soman K. P.
Published: February 2024

The performance degradation of an aircraft and its engine components takes place over time due to a combination of factors like foreign object damage (FoD), domestic object damage (DoD), impact of environmental conditions (corrosive, temperate, hot, and dry), atmospheric particulate matter, and gases like [Formula: see text] and [Formula: see text]. While natural wear and tear happens gradually depending on a wide variety of operational characteristics, FoD and DoD are incidents that occur randomly. To model this degradation process so as to predict or estimate the remaining useful life is to enable optimal build goal and work-scope determination, reducing repair costs and increasing part and system reliability. Determining the impact of various parameters on reliability will help optimize maintenance costs and visit plans over the course of an aircraft’s or engine’s life. A substantial number of models have been proposed to address the reliability prediction problem, but practically only a few are employed. In this paper, we provide a precise yet comprehensive study of these models, classifying them broadly based on their methodology. We focus on the methods, their limitations, production readiness, and the associated datasets in an effort to facilitate faster industrial adoption of the techniques that have remained exclusively as a part of academic initiatives.
Data-Driven Unsteady Aerodynamic Modeling for Fluid–Structure Interaction
Authors: Fellows David W. , Bodony Daniel J.
Published: February 2024

The piston theory class of simplified aerodynamic models that link body deformation to localized pressure fluctuation with respect to a mean steady state is attractive for modeling purposes as they constitute a computationally efficient model to calculate the unsteady pressure response on deforming bodies. However, as piston theories are valid for flow regimes where [Formula: see text], they are inaccurate for modeling the aerodynamic response associated with aeroelastic phenomena in subsonic or low-supersonic flow regimes. Unsteady computational fluid dynamics (CFD) simulations are used to learn the unsteady pressure response, and dynamic mode decomposition (DMD) is applied to the error between the CFD-computed pressure fluctuation and the piston-theory-predicted pressure fluctuation. This process is performed on two-dimensional and three-dimensional flow domains over various flow regimes. For both scenarios, the DMD analysis learns dominant spatial modes in the error that constitute low-order models, which may be used to improve the pressure response and are confirmed to be physically relevant. A method for computing aeroelastic stability with these leading modes is discussed and applied to fluid–structural beam and panel configurations. The results are compared against prior numerical and experimental investigations to quantify the improvement in prediction obtained by the DMD-augmented piston theory.
Beyond “Male versus Female”: Understanding the Dilemma of Chinese Female STEM Undergraduate Students through Intersectionality
Authors: Bu Qingyu , Zhang Liyuan , Hang Mengzhu
Published: February 2024

Although the majority of undergraduate students in Chinese universities are women, those who choose to study science, technology, engineering and mathematics (STEM) face marginalisation and discrimination due to the traditional patrilineal society. However, while much of the existing literature investigates this population based on the traditional binary male/female perspective, it ignores the complexity of the societal “matrix of domination” and individual variations among this cohort. To better understand the obstacles female undergraduate STEM students face from their perspective, we propose using a theoretical and methodological framework of intersectionality to re-evaluate their educational experiences based on social categories. With three main intersectional paradigms, the intracategorical intersectionality can show the subgroup differences. Intercategorical intersectionality can investigate not only the process of identity formation based on intersecting social categories but also individual differences in constructing their identity when they study STEM. Systematic intersectionality examines how high-level educational and industrial policies influence these female students. Overall, intersectionality provides a solid research paradigm and theoretical framework to address the dilemma of Chinese female STEM undergraduate students.
ICT Tools for Open Educational Resources Used in an Open Distance E-learning Institution in the Fourth Industrial Revolution Era
Authors: Mncube Siphamandla , Nkambule Bongani , Ngubane-Mokiwa Sindile
Published: February 2024

Open educational resources (OER) are gaining popularity in higher education spaces and more attention in open distance e-learning (ODeL) institutions as they are gradually substituting printed prescribed textbooks in the teaching and learning space. The adoption and development of OER have been researched; however, the roles of knowledge management tools in storing and disseminating the resources are not well articulated. This research explores the use of knowledge management tools in an ODeL learning context. ODeL institutions use knowledge management tools and a host of other information and communication technologies (ICT) to deliver and facilitate synchronous and asynchronous learning and bridge transactional distance. Therefore, this study employed a qualitative approach to investigate ways in which lecturers use knowledge management tools to embrace and create OER. A case study approach was used at one ODeL institution. The knowledge management cycle (KMC) was chosen as the theoretical framework of the study. The key finding demonstrates that lecturers utilised a wide range of ICT tools for the storage, collection, and dissemination of OER as part of knowledge production. The study proposes the extension of the KMC from three cycles to four where “system” is added. There is a significant need for policy, impact, and the matrix to be covered under the system cycle. The study recommends that scholars who are investigating any IT artefact opt for an extended KMC where impact and user metrics will be evaluated, as this will enhance academic support.
Development of Open Education Resources to Teach Oral History: Perspectives of a Sports Heritage-Engaged Scholarship Initiative in Gauteng, South Africa
Authors: Schellnack-Kelly Isabel , Saurombe Nampombe P
Published: February 2024

Gaps exist in archival practices, and developments are in progress to decolonise and transform archives by supplementing existing archival collections with oral history accounts. This is a recent development in the archival field, requiring archivists and records managers to become aware of how oral history collections should be undertaken to preserve testimonies related to socio-economic, sociopolitical, and cultural events not yet captured by South African public archivists. An open educational resource (OER) was developed in 2022 as part of an engaged scholarship initiative to instruct archivists on oral history research techniques and how to apply research ethics when undertaking such projects. The research paradigm for this study was a postmodernist qualitative study. Action-based research was used in the research design. Action research is a flexible methodology uniquely suited to research and support change. It integrates social research with exploratory actions to promote development. Action research outcomes are both practical and theoretical. The knowledge it generates directly and continuously impacts the changing practices of the participants. Data from participants were collected through recorded project workshops and meetings. The content for the OER was developed from observing online videos showcasing oral history interviews, consulting literature on OER development, and discussions with archivists and heritage collectors at the South African National Film, Video and Sound Archives, the South African National Parks Board, and the Gauteng Provincial Archives. The OER was developed to enable collaboration to ensure that the oral narratives of postcolonial Africa, particularly post-apartheid South Africa, are not lost but captured by the public archives’ services for the benefit of South Africans and other interested stakeholders.
Effectiveness of IMPUTE ADT-1 mobile application in children with autism spectrum disorder: An interim analysis of an ongoing randomized controlled trial
Authors: Panda Prateek Kumar , Elwadhi Aman , Gupta Diksha , Palayullakandi Achanya , Tomar Apurva , Singh Mayank , Vyas Antara , Kumar Deepak , Sharawat Indar Kumar
Published: February 2024

Objectives:

IMPUTE Inc., a software firm dedicated to healthcare technology, has developed a mobile medical application known as IMPUTE ADT-1 for children with autism spectrum disorder (ASD) based on the principle of applied behavior analysis.

Materials and Methods:

The primary objective of this trial was to compare the efficacy of add-on treatment with IMPUTE ADT-1 in children with ASD aged two to six years as compared to standard care alone for 12 weeks (in terms of change in Autism Diagnostic Observation Schedule [ADOS-2] scores). The secondary objective of the study was to assess the compliance with IMPUTE ADT-1 among participants and also to evaluate the feedback of parents regarding IMPUTE ADT-1 at the end of 12 weeks. The application provides personalized programs tailored to each user’s needs, and the program evolves based on the user’s progress. It also utilizes face tracking, eye tracking, and body tracking to gather behavior-related information for each child and apply it in reinforcement learning employing artificial intelligence-based algorithms.

Results:

Till the time of interim analysis, 37 and 33 children had completed 12-week follow-up in IMPUTE ADT-1 and control arm. At 12 weeks, as compared to baseline, change in social affect domain, repetitive ritualistic behavior domain, total ADOS-2 score, and ADOS-2 comparison score was better in the intervention group as compared to the control group (P < 0.001 for all). A total of 30 (81%), 28 (75%), and 29 (78%) caregivers in the IMPUTE ADT-1 group believed that the ADT-1 app improved their child’s verbal skills, social skills, and reduced repetitive behavior, respectively.

Conclusion:

IMPUTE ADT-1 mobile application has the efficacy to improve the severity of autism symptoms in children. Parents of these children also feel that the application is beneficial for improving the socialization and verbal communication of their children.
Evaluación dendroecológica de la influencia antrópica sobre el crecimiento de Neltuma flexuosa en el Monte Central, Argentina
Authors: Szymañski Carolina R. , Alvarez Juan A. , Franco M. Guadalupe , Villalba Ricardo
Published: February 2024

En el Monte Central, Neltuma flexuosa es la principal especie arbórea con importantes funciones ecológicas y socio-culturales. En esta región, la ganadería integrada al bosque nativo, en combinación con prácticas silvícolas, es la forma más extendida de utilización del bosque. Estas actividades humanas pueden generar cambios en la dinámica del bosque que, a su vez, está condicionada por la disponibilidad hídrica. Nuestro objetivo fue evaluar el patrón de crecimiento de árboles de N. flexuosa del Monte Central y asociarlo a distintos usos del suelo y al clima. Se emplearon métodos dendrocronológicos para analizar muestras de madera extraídas en áreas destinadas a conservación, uso ganadero y extracción de madera. Se observó que los árboles del área con extracción de madera crecieron entre los años 1977 y 2000 aproximadamente dos veces más que los individuos de los campos ganaderos y del área protegida, para luego reducir su crecimiento a niveles similares a los registrados en las otras dos áreas. Mientras las máximas tasas de crecimiento en el área de extracción se alcanzaron entre los 20 y 40 años de edad de sus individuos, en el área protegida y en los campos ganaderos se presentaron alrededor de los 70 años. Además, se observó una asociación positiva pero baja de las precipitaciones con el crecimiento. Los resultados indican que los usos del suelo han afectado el patrón de crecimiento radial de los árboles de N. flexuosa. La capacidad de rebrote de la especie habría facilitado su recuperación a nivel de árbol, lo cual combinado con un cambio en la intensidad de uso humano posibilitó la recuperación de la población de N. flexuosa y el restablecimiento del bosque. Estos resultados sugieren que la ganadería extensiva y la extracción de madera para uso doméstico son actividades compatibles con el uso sustentable del bosque.
Dindarlık düzeyinin partiye yönelik tutum üzerindeki etkisinde lider imajının aracılık rolü
Authors: SESLİ Mutlu , KÖROĞLU Ali
Published: February 2024

İnsan, toplumla iletişim kuran, sosyal ilişkilere giren ve o toplumun kurumları ile var olan siyasal bir varlıktır. Bu anlamda toplumda yaşayan herkes, insanların ortak yaşam alanını ve geleceğini etkileyen siyasetten bir şekilde etkilenmektedir. Fakat toplumdaki her bireyin siyaset hakkında bilgi düzeyi ve siyasetle ilgi düzeyi birbirinden farklıdır. Bireyleri siyasi davranışta bulunmaya iten pek çok nedenin yanında onların siyasi tercihlerini etkileyen pek çok faktör bulunmaktadır. Bu faktörler seçmenin yaşadığı bölgeye, yaşına, cinsiyetine, arkadaş grubuna, eğitim ve gelir düzeyine göre farklılaşabildiği gibi, seçmenin dindarlık düzeyi, laiklik tutumu ve seçime giren partinin liderinin kişisel özelliklerine göre de farklılaşabilmektedir. Bunun yanında ülkenin içinde bulunduğu ekonomik durum, uluslararası politika vs. gibi pek çok etken bireylerin siyasi tercihlerini etkilemektedir.

Çalışmanın amacı Tokat ilinde yaşayan katılımcıların dindarlık düzeylerinin partilere yönelik tutumu üzerindeki etkisinde lider imajının aracılık rolünün incelenmesidir. Çalışmada anket aracılığıyla toplanan verilerin analizi yapılmıştır. Çalışmada katılımcıların (N= 420) dindarlık düzeylerinin çalışma kapsamındaki partilere yönelik tutumları üzerindeki etkisinde parti liderlerinin imajının aracılık rolü bulunduğu sonucuna ulaşılmıştır. Ayrıca dindarlığın partiye yönelik tutum üzerindeki etkisi partilere göre de farklılık göstermektedir. Çalışma değişkenler arası ilişkileri araştırmasından dolayı literatüre katkı sunacağı değerlendirilmektedir.