bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Development Trend of Intelligent Circuit Breaker in Building Installation
Authors: Li Ping , Zhou Mengqi , Zhang Ruchu
Published: September 2024

With the continuous progress of science and technology, intelligent circuit breakers are more and more widely used in building installation. Today, the construction industry on the safety, stability and intelligence of the electrical system requirements continue to improve, intelligent circuit breakers with its advanced technology and superior performance, has become a key equipment in the field of building installation. This paper discusses the development trend of intelligent circuit breaker in building installation. The continuous improvement of the level of intelligence means that it will have more powerful data analysis and autonomous decision-making capabilities, and can monitor the operating status of the building electrical system in real time and predict potential failures in advance. The diversified expansion of functions makes it not only realize the traditional circuit breaker protection, but also integrate power quality monitoring, equipment condition monitoring and other functions. The deep integration with the Internet of Things technology will build an intelligent building energy management system to achieve interconnection and collaborative control between devices. At the same time, the outstanding contribution of intelligent circuit breakers to energy conservation and environmental protection can not be ignored, and reduce energy consumption by optimizing control strategies to help the green development of buildings. The continuous strengthening of safety performance provides a solid guarantee for building electrical safety. Through the analysis of these trends, it points out the direction of the future development of intelligent circuit breakers in the field of building installation, and provides useful reference and guidance.
Deep Reinforcement Learning-based Algorithmic Optimisation and Risk Management for High Frequency Trading
Authors: Liu Fengyuan , Tian Yuan
Published: September 2024

This paper reviews the current status and challenges of Deep Reinforcement Learning (DRL)-based algorithm optimisation and risk management for high-frequency trading. By analysing the potential application of Deep Reinforcement Learning in high-frequency trading, its unique advantages in algorithm optimisation, trading decision-making and risk management are discussed. Although DRL demonstrates the ability to make self-adaptive and dynamic decisions in complex market environments, it still faces many challenges such as insufficient real-time algorithmic performance, data sparsity, model overfitting, and risk management complexity in practical applications. This paper summarises the main findings of the current research and proposes directions for future research, suggesting that the application of DRL in high-frequency trading can be further enhanced by improving the algorithmic structure, dealing with data sparsity, and optimising risk management strategies.
Advancements in Research on the Classification of Benign and Malignant Breast Tumors Utilizing Ultrasound Radiomics and Deep Learning
Authors: Xiao Qinyu , Hu Qiuhui , Wang Yiwei
Published: September 2024

This paper examines the applications of traditional machine learning and deep learning in the analysis of breast ultrasound images for tumor diagnosis and explores recent developments in multimodal imaging. Traditional machine learning efficiently classifies breast ultrasound images through preprocessing, feature extraction, and selection, utilizing classifiers such as support vector machines. However, the design of features is highly dependent and its application scope is limited. Deep learning methods, particularly convolutional neural networks, autonomously extract sophisticated features, demonstrating enhanced classification performance and generalization capabilities. For instance, they achieve diagnostic accuracies exceeding 90% in large-scale datasets, with some studies outperforming clinicians. Moreover, this study highlights that the multimodal analysis strategy, integrating breast ultrasound with shear wave elastography, compensates for the limitations of unimodal images and enhances diagnostic accuracy and reliability, signifying a significant advancement in the technology for early breast cancer diagnosis.
The Impact of Ecological Land Consolidation Projects on Soil Carbon Sequestration Capacity
Authors: Chen Xiaowan
Published: September 2024

Land consolidation is an important measure to expand the scale of arable land, improve the working environment of farmland, enhance agricultural productivity, and improve the production and living conditions of farmers. However, for a long time, land consolidation has remained at the stage of improving agricultural infrastructure. With the proposal of ecological and environmental protection concepts, ecological land consolidation projects are about to emerge. In the process of promoting this project, soil carbon sequestration capacity is one of the most important measures of ecological and environmental protection. Overview of the definition and connotation of soil organic carbon, and analysis of the impact of ecological land remediation projects on soil carbon sequestration capacity. On this basis, an overview of soil carbon sequestration measures in ecological land consolidation projects is provided, providing theoretical support and technical guidance for strengthening carbon sequestration work and enhancing soil carbon sequestration capacity in ecological land consolidation projects.
The Frontier Exploration of the Development Trend of Key Technologies in Digital Healthcare in Medical Big Data Analysis
Authors: Huang Jian , Li Shangping , Zhuang Manyi , Ren Wenqing , Wei Yuanyuan
Published: September 2024

With the rapid development of medical big data, digital healthcare as an interdisciplinary field is gradually transforming the traditional healthcare model, continuously advancing the realization of personalized medical services and remote health monitoring. This paper systematically reviews 138 research articles related to the development trends of key technologies in digital healthcare, exploring various critical areas including digital health and privacy security, the application of artificial intelligence and machine learning in health, remote monitoring and mobile health, medical data analysis and electronic health records, and the ethical and policy challenges in digital health. Studies indicate that the improvement of privacy security measures and efficient medical data processing technologies are the foundation for the safe promotion of digital healthcare; Artificial intelligence and machine learning technologies play an important role in enhancing the accuracy of diagnosis and disease prediction. Meanwhile, mobile health and remote monitoring technologies show great potential in improving the accessibility and continuity of medical services. In addition, this paper discusses the challenges of ethics and policies in digital health practice, such as data sharing, conflicts of interest, and respect for patient privacy. Future research must focus on refining technological solutions to address these challenges and fully integrate digital healthcare technologies into clinical practice.
Research on Contract Risk Management of Hospital Construction Project based on Fuzzy Analytic Hierarchy Process
Authors: He Jiaying , Dong Shier
Published: September 2024

With Covid-2019 outbreak in December 2019, the number of medical infrastructure projects in infrastructure projects has increased. Although contract management is an important link of medical infrastructure project management but there is little quantitative research on the risk analysis. in this paper, firstly, three first-level risk indicators of contract risk management evaluation system are extracted by combing literature: contract drafting, contract signing and contract performance. Then, taking the contract management of a 3A hospital in Chengdu as an example, 12 second-level risk indicators are determined by fault tree method. Then, by experts scoring and statistically analyzing the risk points of 100 construction project contracts signed by the hospital from 2016 to 2020, the weight of secondary risk indicators is determined and the risk matrix is established. Then, the evaluation matrix of contract risk management evaluation system is established by 10 experts. Finally, the evaluation index system of contract risk management is obtained by combining the risk matrix with the evaluation matrix through fuzzy analytic hierarchy process, and the maximum membership degree method is adopted to complete the risk assessment. The research results show that there are high risks in the contract drafting stage and medium risks in the contract signing and contract performance stages in the contract management of a Grade A hospital in Chengdu. The author puts forward reasonable suggestions to improve the contract management level of hospital construction projects.
How to Improve the Effectiveness of Chinese Classroom Teaching
Authors: Chang Shan
Published: September 2024

Classroom teaching is the most important link of international Chinese teachers. The choice of teaching strategies and the arrangement of teaching design will directly affect the effectiveness of the whole classroom teaching. Effective teaching strategies can not only help students to master Chinese knowledge efficiently, but also build teaching confidence for junior international Chinese teachers, and promote them to continuously explore and improve teaching methods in the subsequent teaching process, so as to gradually grow into senior Chinese teachers and make contributions to the development of International Chinese Language Education. This paper refers to the relevant books and literature, combined with the author's professional course learning experience, through the analysis of the factors affecting the effectiveness of Chinese classroom teaching, and puts forward the corresponding teaching suggestions and strategies, so as to ensure the implementation of effective teaching.
An Interpretation on the Social Form of Brave New World from the Perspective of Foucault’s Discipline Theory
Authors: Wang Jingxiao
Published: September 2024

The social state depicted in Huxley’s Brave New World is something about which we need to be vigilant in the 21st century, and it also inspires us to question what truly constitutes a beautiful society. Given the significant relevance of the book Brave New World to hegemonism and cultural output in the 21st century, this thesis aims to discuss the portrayal of the World State in the 26th century as depicted in Brave New World from three perspectives: docile bodies, the means of correct training, and panopticism by applying Foucault’s discipline theory. This thesis reveals that the seemingly beautiful and satisfying world is actually an empty and oppressive society, emphasizing the importance of self-awareness awakening.
Study on the Path of Integrating Red Culture into Ideological and Political Education in Colleges and Universities in the New Era
Authors: Zhu Changyuan
Published: September 2024

Red culture is an advanced culture with Chinese characteristics based on Marxist theory, which has rich educational guidance and is an indispensable material for ideological and political education in colleges and universities. Colleges and universities carry the important functions of talent training and cultural inheritance. Integrating red culture into college ideological and political education is of great significance for improving the effectiveness of college ideological and political work. At present, there still exist difficulties in the aspects of resource development degree, teaching form and teaching content during the integration of red culture into ideological and political education in colleges and universities. Based on this, it can effectively promote the integration of red cultural resources into the ideological and political education of colleges and universities in the new era through in-depth exploration and integration of red cultural resources, the use of new media to innovate teaching forms and encourage students to participate in red cultural practice activities.
The Practice Innovation of Law Competition from the Perspective of New Liberal Arts
Authors: Zhang Wanchun
Published: September 2024

The new liberal arts in the United States and domestic promotion have formed a top-down from the outside to the trend of education reform. Law students, whether undergraduates or postgraduate students, should become the leading force in the construction of new liberal arts. The participation of law students in the competition is mostly limited to moot court, court debate and other oral argument competitions, but the participation in the comprehensive cross-over competition in the new liberal arts background is seriously insufficient. The academic circle pays little attention to the literature presentation of competition research, there is a contradiction between the degree of attention to competition and the conversion rate of teaching reform articles, and the problems existing in traditional competition practice and new problems in the background of new liberal arts are emerging. The practice of legal professional competition has a low degree of embracing and contributing to the new liberal arts. Therefore, in order to improve law students' comprehensive qualities and abilities such as information acquisition ability, writing ability, PPT making ability, expression ability and presentation ability, teamwork ability and leadership ability, risk identification, response ability and resolution ability, contingency ability and scientific research ability through competition practice, Universities and teachers should dig deep into the practice levels and elements of the legal profession, actively guide students to participate in the national business competition of multi-disciplinary integration, and improve the "six-level practice method".
The Application Value of Ultrasound in the Diagnosis of Ovarian Torsion
Authors: Jiang Yi , Tian Qiqi , Li Jing , Zhang Miaomiao , Li Lijie
Published: September 2024

In a study of 80 patients suspected of ovarian torsion and necrosis admitted to our hospital between January and December 2023, we analyzed the results of abdominal and vaginal ultrasounds with surgical diagnoses as the reference. Of the 80 cases, 74 were confirmed as ovarian torsion, accounting for 92.50%, while the remaining diagnoses included ruptured corpus luteum cysts, periapendiceal abscesses, and ruptured ectopic pregnancies, each with 2 cases. Abdominal ultrasound identified 63 cases of ovarian torsion and 17 cases of non-ovarian torsion, whereas vaginal ultrasound identified 73 cases of ovarian torsion and 7 cases of non-ovarian torsion. The sensitivity, specificity, and accuracy of abdominal ultrasound were 82.43%, 66.67%, and 78.75%, respectively, while those of vaginal ultrasound were 94.59%, 50.00%, and 91.25%. Although there was no statistical difference in specificity between the two methods (P > 0.05), vaginal ultrasound demonstrated significantly higher sensitivity and accuracy compared to abdominal ultrasound (P < 0.05). Thus, vaginal ultrasound is a more reliable diagnostic tool for ovarian torsion, providing valuable information for clinicians and improving diagnostic accuracy.
Improved fall detection algorithm based on yolov8s
Authors: Mao Jiaqi
Published: September 2024

For the problem of physical injuries caused by untimely fall relief, this paper proposes an improved fall detection algorithm based on YOLOv8s.First, through many experiments, in the YOLOv8 algorithm model, select the YOLOv8s framework. Second, in the backbone part insert SE (Squeeze-and-Excitation) attention mechanism, strengthen the network feature extraction ability and adaptive ability, makes the network in the process of feature extraction network can pay more attention to the target, improve the network in the fall scene, improve the model accuracy. Lastly, Spatial and channel reconstruction convolution (SCConv) and C2f module are introduced into the network, reconstructed into C2f_SCConv module to integrate multi-scale features and reduce spatial and channel redundancy in the convolutional neural network, so as to improve the efficiency and accuracy and improve the representation ability of the model. After the improved YOLOv8s algorithm, the mAP increased from the initial 57.6% to 65.1%, which provided a good reference value for the subsequent study of the fall detection algorithm.
Analysis on the application status and audience acceptance of virtual intelligent hosts in provincial broadcasting institutions
Authors: Wang Yufei
Published: September 2024

AI technology empowers traditional media and injects vitality into the radio and television field . In this context, provincial broadcasting organizations have entrusted virtual intelligent hosts with the important tasks of alleviating the impact of multiple media, improving program quality, and narrowing the distance between audiences. Unlike central media, provincial broadcasting organizations have limited resource advantages and platform advantages. They can only fully retain the exclusivity of provincial resources, and share major domestic and international news with CCTV . In this process, too much emphasis is placed on the technical advantages of virtual intelligent hosts themselves, while the particularity of provincial platforms is ignored. There is a lack of consideration of whether there is the ability to give full play to the many advantages of virtual intelligent hosts, or whether these advantages are necessary for provincial broadcasting organizations. This paper attempts to understand the audience's acceptance of virtual intelligent hosts through a questionnaire survey . It aims to explore the current application status of virtual intelligent hosts from the aspects of technology, resources, and audiences based on the characteristics of provincial broadcasting organizations.
Pressure simulation algorithm for non pressure sensitive touch screen
Authors: Zhou Tiancai , Zhao Zhenshen
Published: September 2024

The application of non pressure-sensitive touch screens in smart tablet software is becoming increasingly widespread, but they cannot directly sense pressure, which limits the user's writing experience.  This article proposes a pressure simulation algorithm based on gestures and speed, which simulates pressure by analyzing touch data.  This algorithm identifies the user's touch gestures and speed changes, infers the corresponding pressure values, and maps them to simulated pressure data.  The experimental results show that the algorithm can significantly improve the writing performance of non pressure-sensitive touch screens, making the user experience more natural and smooth.
Application of Mind Mapping in Primary School English Teaching
Authors: Gan Ziyue
Published: September 2024

With the continuous progress of society and the continuous development of education, English teaching in primary schools has also been reformed. In order to make primary school English teaching more in-depth, primary school English teachers need to actively innovate teaching ideas and improve the efficiency of English teaching. Therefore, this study focuses on the application of mind mapping in primary school English education, from the aspects of learning methods, letter teaching, word teaching, conversation teaching, reading teaching, discourse teaching and writing teaching, in order to improve pupils' English learning ability and lay a solid foundation for future English learning.
Lukacs's Reification Theory: Theoretical Basis, Main Performance and Realistic Care
Authors: Gong Jianhong
Published: September 2024

The phenomenon of reification is common in the capitalist social structure. From the actual situation, in-depth analysis of the two sides of the problem. This paper adopts the method of dialectical analysis. By systematically expounding Lukacs's reification theory and its main manifestations, this paper explores the critical examination of Lukacs's reification theory on contemporary social reality, and provides theoretical support for solving the problems of development and promoting the overall progress of society.
Research on the Development Direction of Additive Manufacturing Technology under the Goal of "Double Carbon"
Authors: Wu Shenghong , Zhao Chenlei
Published: September 2024

Additive manufacturing technology (3D printing) is an important part of advanced manufacturing and affects the development of advanced manufacturing. This paper analyzes the problems existing in the low-carbon development of additive manufacturing by referring to the related literature of additive manufacturing technology. The existing additive manufacturing technology is summarized. This paper mainly introduces the low-carbon development direction of additive manufacturing technology in aerospace, medical health, automobile manufacturing and other fields, and provides effective reference for promoting the sustainable development of additive manufacturing.
How to Find the Maximum Difference Between the Intervals of the Two Closest Intersection Points of Two Functions
Authors: Zhu Rongzhen , Hao Yongtai , Liu Yiwen
Published: September 2024

A new method is proposed in this paper to solve the maximum difference between two functions in the two nearest intersecting intervals by using the mean value theorem (MVT).  At the same time, this paper describes the theoretical basis and implementation of the method and uses examples to verify its effectiveness. The goal is to provide a simplified and efficient tool for solving complex functional analyses.
The Relationship between Personality Traits and Turnover Intention of Private University Teachers: The Mediating Role of Sense of Belonging
Authors: Zhao Lei , Mow Gooi Leong , Wang Lai
Published: September 2024

This study examines the relationship between personality traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) and turnover intention among private university teachers, focusing on the mediating role of sense of belonging. A quantitative research approach using Structural Equation Modeling (SEM) via SmartPLS 4.0 was employed. Data were collected from 781 private university teachers in Yunnan Province, China, through an online survey, and hypotheses were tested to explore the direct and indirect effects of the Big Five personality traits on turnover intention. The results reveal that openness, conscientiousness, and neuroticism are positively related to turnover intention, while agreeableness shows a significant negative relationship. Sense of belonging mediates the relationships between all personality traits and turnover intention, highlighting its critical role in reducing turnover. The study's cross-sectional design limits causal inference, and the specific context of Chinese private universities may affect generalizability. University administrators should focus on enhancing teachers' sense of belonging and tailor retention strategies based on individual personality traits. This study provides new insights into the complex interplay between personality traits, sense of belonging, and turnover intention in educational settings, offering practical recommendations for improving teacher retention.
Positive Emotion in Ideological and Political Education Teaching Positive Function and Method Path
Authors: Wang Ailing
Published: September 2024

Positive emotions and emotions play a key role in improving the cognitive effectiveness of ideological and political education, promoting the harmony of teaching relations and creating a good psychological environment. In addition, positive emotions and emotions play a positive role in the cognitive drive, will enhancement, belief strengthening and behavior activation of ideological and political course teachers and students. Therefore, we should properly use the "emotional resonance" teaching method, create teaching situations, and innovate theoretical teaching models to tell the story of ideological and political education.
Development and Validation of a Classroom Teaching Evaluation Scale in the Era of Digital Transformation
Authors: Hao Rongxia , Yutuc Amando C.
Published: September 2024

With the advent of the digital era, classroom teaching models have undergone profound changes, which challenge the capacity of traditional classroom teaching evaluation systems to meet the demands of contemporary educational practices. This study aims to specifically tailor a classroom teaching evaluation scale to meet the demands of digital transformation. Incorporating scientific methods will improve the accuracy and efficacy of teaching evaluations. We conducted an extensive examination of existing literature, studied policies, and conducted expert interviews to create an initial set of evaluation indicators. Based on this initial groundwork, we used item analysis and exploratory factor analysis to improve the items, and we evaluated the scale's internal consistency using Cronbach's coefficient and split-half reliability. Additionally, we assessed the scale's validity using content validity and confirmatory factor analysis. The results show that the scale is very reliable and valid. It has an overall Cronbach's α coefficient of 0.939, split-half reliability of 0.827, KMO value of 0.934, χ²=5404.735, P<0.05; χ²/df=1.206, GFI=0.984, and RMSEA=0.025. The scale consists of six dimensions: teaching philosophy, teaching attitude, teaching content, teaching skills, teaching resources, and teaching outcomes. It includes a total of 30 items and effectively evaluates the quality of classroom teaching in the context of digital transformation in higher education. This scale's development provides a practical assessment tool for higher education, with significant implications for its application.
The Impact and Mechanism of Arabinoxylan on Behavioral Regulation in PSD Rats via Gut Microbiota Modulation
Authors: Bi Binyu , Li Xuebin , Huang Liu , Zhou Jun , Yan Weijuan , Wang Jie , Lin Lin
Published: September 2024

Objective To investigate the mechanism by which arabinoxylan modulates gut microbiota and promotes neuronal function recovery in post-stroke depression (PSD) rats. Methods The PSD rat model was established using the middle cerebral artery occlusion (MCAO) method combined with chronic unpredictable mild stress (CUMS). Behavioral changes were observed, and 16S rDNA sequencing was used to analyze gut microbiome alterations. Enzyme-linked immunosorbent assay (ELISA) was conducted to measure serum levels of serotonin (5-HT), norepinephrine (NE), and dopamine (DA). Reverse transcription polymerase chain reaction (RT-PCR) was used to detect the expression of brain-derived neurotrophic factor (BDNF) mRNA in the frontal cortex. Results Arabinoxylan significantly increased activity levels in PSD rats, enriched the diversity of gut microbiota, elevated the levels of monoamine neurotransmitters (5-HT, NE, and DA), and upregulated the expression of BDNF mRNA in the frontal cortex. Conclusion Arabinoxylan ameliorates depressive-like behavior in PSD rats, enhances gut microbiota diversity, potentially upregulates the expression of monoamine neurotransmitters (5-HT, NE, and DA) via the microbiota-gut-brain axis, and increases BDNF mRNA levels in the frontal cortex, thereby promoting neuronal function recovery.
EFFECTS OF PREBIOTICS ON METABOLIC ACTIVITY IN BROILERS
Authors: NAWAZ A , USMAN M , ALI MM , AHMAD A , JAHANGIR M , ŞAHIN T , IQBAL R , KHAN AMA , WAHEED SF , SARMAD M
Published: September 2024

The present study will aim to assess the effects of prebiotic supplementation on growth performance, protein metabolism, and gut health in broiler chickens using mannan-oligosaccharides (MOS) as a model prebiotic. The purpose is to determine if prebiotics will be beneficial alternatives for antibiotic growth promoters in improving the flock performance and meeting quality-related parameters in broilers. A 42-day randomized controlled trial on one-day-old Ross 308 broiler chicks will be divided into four groups: Control, Inulin (IN), MOS, and FOS. The study shall determine Body Weight Gain (BWG), Feed Intake (FI), Feed Conversion Ratio (FCR), Protein Digestibility, Lipid content, & Gut Microbiota composition using 16S rRNA sequencing. Anticipated criteria include improvement in body weight gain (BWG), feed conversion ratio (FCR), protein digestibility, and beneficial modulation of gut microbiota composition at successively higher pricing than the control group, which are shown as MOS. The study will also record a decrease in saturated fatty acids and an increase in polyunsaturated fatty acids in the breast muscle, which indicates improved meat quality. These results will add to the literature that provides evidence for using prebiotics as a natural substitution in poultry nutrition due to its benefits. The research results will highlight the possibility of using MOS as an alternative to antibiotics in broiler diets and their effect on growth performance (with meat quality) and gut health. Nonetheless, the limitations of the short study duration and only using one broiler strain will be noted, with suggestions to replicate these findings over extended periods in more strains to validate prebiotics in poultry nutrition.
AN OVERLAP OF GUILLAIN-BARRÉ SYNDROME, MILLER-FISHER SYNDROME, AND BICKERSTAFF BRAINSTEM ENCEPHALITIS PRESENTING AS CLINICAL BRAIN DEATH, A CASE SERIES
Authors: AWAD AHA , RANA MA , MADY AF , AHMED M , SADIQ HZ , DAHSHAN A , ABUANZA IAM
Published: September 2024

Guillain-Barré Syndrome (GBS), Miller-Fisher Syndrome (MFS), and Bickerstaff Brainstem Encephalitis (BBE) are neuroinflammatory disorders that share common immunopathogenic mechanisms. Although overlapping presentations of these conditions are rare, they pose significant diagnostic challenges, especially when mimicking clinical brain death. Objective: To present a case series of three patients who demonstrated an overlap of GBS, MFS, and BBE, with all patients exhibiting profound neurological impairments, including clinical signs of brain death. Methods: A retrospective review of three cases admitted to the ICU over the last three years was conducted. Detailed clinical profiles, cerebrospinal fluid (CSF) analysis, nerve conduction studies (NCS), and electromyography (EMG) results were reviewed. All patients were treated with intravenous immunoglobulins (IVIG) and therapeutic plasma exchange (TPE). Results: All three patients had a history of preceding infections and were presented with ophthalmoplegia, ataxia, and altered levels of consciousness, progressing to coma. CSF analysis revealed albuminocytological dissociation, and NCS/EMG indicated severe polyneuropathy. Two patients responded positively to IVIG and plasmapheresis, showing significant neurological recovery, while the third patient demonstrated a delayed but spontaneous recovery. All patients eventually achieved full or near-full neurological recovery. Conclusions: This case series highlights the clinical continuum and diagnostic complexity of overlapping GBS, MFS, and BBE, particularly in presentations mimicking brain death. Early recognition and prompt immunomodulatory therapy are crucial in improving patient outcomes, even in cases with severe neurological deficits. Further research is warranted to elucidate pathophysiology and optimize treatment strategies for overlapping neuroinflammatory syndromes.
On the Numerical Solutions Based On Exponential Finite Difference Method for Kuramoto-Sivashinsky Equation and Numerical Stability Analysis
Authors:   Cape Peninsula University of Technology, Faculty of Applied Science, South Africa, Agnes Agnes
Published: September 2024

In this paper, we solve the Kuramoto-Sivashinsky Equation numerically by finite-difference methods, using two different schemes which are the Fully Implicit scheme and Exponential finite difference scheme, because of the existence of the fourth derivative in the equation we suggested a treatment for the numerical solution of the two previous scheme by parting the mesh grid into five regions, the first region represents the first boundary condition, the second at the grid point x1, while the third represents the grid points x2,x3,…xn-2, the fourth represents the grid point xn-1 and the fifth is the second boundary condition. We also, study the numerical stability by Fourier (Von-Neumann) method for the two scheme which used in the solution on all mesh points to ensure the stability of the point which had been treated in the suggested style, we using two interval with two initial condition and the numerical results obtained by using these schemes are compare with Exact Solution of Equation Excellent approximate is found between the Exact Solution and numerical Solutions of these methods.
On the Problem of Inverting Discrete Self-Regression Models to Continuous Models
Authors:   Computer Techniques Engineering Department, Al-Mustaqbal University, Babil, Iraq, Taher Taher
Published: September 2024

In this paper, we discuss the problem of converting auto-regression models at a discrete time into auto-regression models at continuous time, based on the idea of converting auto-regression models from first to second order. We study the general formula of AR (p) and its ability to convert from discrete to continuous time. Also, we use our model to study some real-life problems as a direct application of our approach.
Será feliz quem perseverar: as sete bem-aventuranças do apocalipse joanino
Authors: Martins Inacio Jose Tadeu Rodrigues
Published: September 2024

Este artigo oferece uma reflexão sobre as bem-aventuranças no livro do Apocalipse. A justificativa desta pesquisa, deve-se ao fato de que, atualmente, muitas comunidades religiosas usam tal livro para amedrontar e aterrorizar as pessoas, quando, na verdade, a intenção do livro é outra. Inicialmente explica-se do que se trata a literatura apocalíptica e suas características. Depois, faz-se breve introdução ao apocalipse joanino, descrevendo o contexto histórico, literário e litúrgico da obra. Em seguida, expõe-se a análise retórica que será o método exegético a ser aplicado nos versículos escolhidos. A seguir, analisa-se cada versículo com seus correspondentes retóricos nas bem-aventuranças, bem como buscando as supostas referências delas no Antigo e Novo Testamentos. Por fim, busca-se para cada versículo ou pares, uma atualização da mensagem de felicidade proposta pelo Apocalipse.
Assessing Interpersonal and Intrapersonal Emotional Insights in Undergraduate Medical Students
Authors: Zaheer Sadia , Mehmood Arjamand , Bukhari Noreen , Saleem Amina , Ansar Mahrukh , Usman Fahad
Published: September 2024

Emotional intelligence (EI) plays a vital role in professional competence and psychological well-being, especially in healthcare. It significantly impacts how effective practitioners are and the outcomes for patients. In medical education, nurturing emotional intelligence is crucial because clinical practice often involves intense emotional experiences. Objective: To evaluate emotional understanding at both the interpersonal and intrapersonal levels among medical students. Methods: A Descriptive cross-sectional study was conducted at Sialkot Medical College, from August 23, 2023, and culminating on November 23, 2023 of three months’ duration after taking IRB from Sialkot Medical College, Sialkot IRB no. (MRC/IRB/23019). The selection of participants was conducted utilizing a convenience sampling approach. The study included students across all academic years of the MBBS program, with the exclusion criteria being individuals diagnosed with anxiety or depression. Data were collected via a Google Forms questionnaire and analyzed using SPSS Version 23.0. Results: The study encompassed a total of 298 medical students, with an average age of 20.4 ± 1.77 years. The demographic breakdown revealed 143 (48%) male participants and 155 (52%) female participants. The findings underscored a prevalent understanding among students regarding their emotions and the significance of emotional awareness in their daily lives. Moreover, the research identified obstacles related to emotional expression and heightened sensitivity to external stimuli. Conclusions: This study concluded that brings substantial diversities in emotional and social-emotional acumen within the medical student cohort, underscoring the necessity for augmented emotional intelligence training in medical curricula to fortify self-awareness and interpersonal efficacy.
Rethinking Schoenberg
Authors: Pow Jun
Published: September 2024

Introduction to Special Issue
Schoenberg as Strauss
Authors: Carpenter Alexander
Published: September 2024

This article examines and contextualizes Arnold Schoenberg’s arrangements of waltzes by Johann Strauss, arguing that they demonstrate how Schoenberg’s music, while radically modern, was at the same time profoundly shaped by nostalgia. This particular type of nostalgia—not simply a longing for a lost past, but rather an act of remembering that is imperfect, a dialectical process that looks backwards even as it participates in constructions of the self that are oriented towards the future—underwrites Schoenberg’s engagement with the past and anxiety about the future. His waltz arrangements, celebrating the pinnacle of Viennese imperial culture, are contemporary with his foray in dodecaphony, and as such curiously anachronistic. But, as I argue here, considering Schoenberg as a nostalgic—via the work of cultural theorists like Svetlana Boym—opens the door to some possible different narratives for music history. Schoenberg’s legacy of “crisis and progress” can thus be challenged, and something like Boym’s “third way” of modernism, with its “lateral possibilities,” can emerge.
Schoenberg’s Metronome Markings: A Study of His Music Manuscripts and Early Editions
Authors: Hamao Fusako
Published: September 2024

While Schoenberg had consistently indicated tempo using words exclusively in his early tonal music, metronome markings became a common practice in his twelve-tone music. Situated within a historical context, this study demonstrates the process by which Schoenberg employed metronome markings as an indispensable means to create his music. The first section of this article discusses Schoenberg’s writings regarding his ideas on tempo indications and speculates on the motivation behind the switch to metronome markings. The second section examines the source documents of Schoenberg’s Second String Quartet, Op. 10, Erwartung, Op. 17, and the Four Orchestral Songs, Op. 22. Exploring Schoenberg’s method of tempo indication in these works, I suggest that his approach towards tempo indications started to change around the fall of 1913 when he composed the first song of Op. 22. Here, the metronome marking became a tool to indicate the basic tempo of the music. Finally, I argue that the composer’s instruction to performers that “the metronome marks must not be taken literally,” which is usually found in the prefaces of his scores published after 1914, was due to the highly expressive nature of his music.
The Cyclical Genealogy of Schoenberg’s Second Chamber Symphony
Authors: Pow Jun Kai
Published: September 2024

In 1939 Schoenberg was facing the challenge to complete his Second Chamber Symphony, which was started 33 years earlier. Through a harmonic study of his sketches, I propose that Schoenberg made an implicit application of Jewish cyclical repetitions as a creative concept to overcome the long compositional block. This article is divided into two parts. I begin with a discussion on the use of cyclical form in the modern history of Western classical music before laying out some of Schoenberg’s ideas on repetition. Thereafter, harmonic analyses of the two complete movements of the Second Chamber Symphony as well as fragments from the third movement are used to support the argument that an extended cyclic form could have been adopted by Schoenberg as a method of musical organization during the first few years after his conversion back to Judaism. The cyclical formation of Schoenberg’s Second Chamber Symphony could critically be part of an unconscious and anxious process that reveals itself as part of the Semitic musical genealogy from Mendelssohn to Mahler.
DIGITAL LITERACY INITIATIVES EMPOWERING MARGINALIZED COMMUNITIES THROUGH TECHNOLOGY INTEGRATION
Authors: Prasastiningtyas Widyapuri , Kurniawan Aptu Andy , Ruswandi Andi , Gymnastiar Iman Ahmad , Amin Fitrani
Published: September 2024

Digital literacy initiatives are crucial in empowering marginalized communities by integrating technology into their daily lives. This study examines the effectiveness of various digital literacy programs aimed at enhancing the technological skills of marginalized groups, thereby promoting socio-economic development and inclusion. Utilizing a mixed-methods approach, this research combines quantitative surveys and qualitative interviews to assess the impact of digital literacy initiatives on participants' skills, confidence, and socio-economic status. The findings indicate significant improvements in digital competencies, which correlate with increased employment opportunities, better access to services, and enhanced community participation. Furthermore, the study highlights the challenges faced by these initiatives, including limited access to resources, technological infrastructure, and resistance to change. The research concludes with recommendations for policymakers and practitioners to improve the design and implementation of digital literacy programs, ensuring they are inclusive, sustainable, and effective in bridging the digital divide. By focusing on the transformative potential of technology integration, this study underscores the importance of digital literacy as a foundational element for achieving broader socio-economic goals.
ALTERNATIF PENYELESAIAN SENGKETA PAJAK (ANALISIS STUDI SENGKETA PAJAK PT PERUSAHAAN GAS NEGARA DENGAN DIREKTUR JENDERAL PAJAK)
Authors: NIken Ayu Afrilia  , Nopi Sapitri  , Wafiyatun Dian Asha  , Latifah Ahlakul Kharimah  , Kharin Dwi Jayanti
Published: September 2024

Artikel ini bertujuan untuk mengetahui penyelesaian kasus sengketa yang terjadi antara pihak PT Perusahaan Gas Negara dengan direktur jenderal pajak. Dengan menggunakan penelitian jenis kualitatif dan pendekatan studi kasus, hasil penelitian dapat disimpulkan bahwa sengketa yang terjadi adalah perbedaan pandangan yang terjadi antara pihak wajib pajak yaitu PT Perusahaan Gas Negara dengan pihak yang berwenang menetapkan pajak yaitu direktur jenderal pajak. Di mana dalam kasusnya pihak direktur jenderal pajak melakukan aju banding. Alternatif penyelesaian sengketa tersebut berakhir di meja mahkamah agung di mana akhirnya pihak PT Perusahaan Gas Negara menjadi pihak yang tersalah dan wajib membayar pajak sesuai dengan ketentuan yang berlaku.
Kata Kunci: Sengketa Pajak, PT. Perusahaan Gas Negara, Direktur Jenderal Pajak
Penerapan prinsip non-diskriminasi dalam dunia kerja di Indonesia
Authors: Kurniawan Indra , Khoirunnisa Indah Rosewika Suryaning , Firmansyah Amrie
Published: September 2024

Di era globalisasi dan kemajuan teknologi informasi, dunia kerja telah berkembang secara signifikan dalam memberikan kesempatan bagi individu dari berbagai latar belakang untuk memperoleh pekerjaan. Namun, meskipun setiap orang memiliki kebutuhan untuk bekerja demi memenuhi kebutuhan hidup dan memaksimalkan potensinya, diskriminasi masih menjadi kendala utama yang menghambat tercapainya keadilan dan kesetaraan dalam kesempatan kerja. Permasalahan ini semakin kompleks karena diskriminasi, khususnya terhadap perempuan dan penyandang disabilitas, masih sering terjadi, meskipun berbagai upaya telah dilakukan untuk mewujudkan kesetaraan gender. Penelitian ini bertujuan untuk menganalisis penerapan prinsip non-diskriminasi di Indonesia. Metode yang digunakan adalah scoping review dengan pendekatan kualitatif. Hasil penelitian menunjukkan bahwa pemerintah Indonesia telah mendukung prinsip non-diskriminasi terhadap perempuan dan penyandang disabilitas melalui regulasi, seperti ratifikasi Konvensi tentang Penghapusan Segala Bentuk Diskriminasi terhadap Wanita dan Konvensi tentang Hak-Hak Penyandang Disabilitas. Implementasi konvensi ini tercermin dalam Undang-Undang Ketenagakerjaan dan Undang-Undang Penyandang Disabilitas. Salah satu organisasi yang menerapkan prinsip non-diskriminasi adalah Bank Indonesia, meskipun penerapannya belum sepenuhnya efektif. Penelitian ini diharapkan memberikan kontribusi teoritis dan praktis. Secara teoritis, hasil penelitian ini dapat memperkaya wawasan serta menjadi referensi yang kredibel untuk penelitian selanjutnya. Secara praktis, hasilnya diharapkan menjadi pedoman yang berharga bagi instansi pemerintah dalam merancang kebijakan dan program non-diskriminasi.
Digital Divide and E-Governance: A Case Study of India
Authors:   Kousali Institute of Management Studies Karnatak University Dharwad, Hongal Dr. Pushpa , Kshirsagar Yashpal ,   Field Director Bhadra Tiger Reserve Chikkamagalur
Published: September 2024

The rapid growth of information technology worldwide has led to incredible opportunities in electronics, telecommunications, information retrieval, transmission, and storage. Access to accurate information at the right time is crucial for successful decision-making in both business and government. Information and Communications Technology (ICT) is transforming public services and socioeconomic infrastructure, making e-Government an essential component of every country. ICT is vital in promoting accountability, convenience, flexibility, security, integrity, and transparent governance through e-Governance. The Indian government is collaborating with stakeholders to expand and scale up the country's digital economy, which will create significant economic value and empower millions of people. Initiatives like the Jan Dhan Yojana have provided unbanked individuals with access to financial services, while programs like "Digital India," "Make in India," and "Skill India" aim for 100% digitalization to promote economic inclusion and social change. India is preparing for an era of amplified digitalization and Industry 4.0, powered by new technologies. E-Governance is an empowering tool for both government and stakeholders, promoting transparent and effective governance. However, implementing e-Governance in Indian administration faces challenges such as digital literacy, technology, process, economic factors, sociocultural factors, political interference, resistance to change, and mindset. This conceptual research paper aims to highlight e-Governance as an empowerment tool and the challenges in its implementation and utilization for effectiveness. The authors conducted a survey of 126 government officials using a structured questionnaire to gather information about their perceptions and implementation challenges. Key Words: E-Governance, Digital India, ICT, Challenges Empowerment
Analysis of Financial Performance of JK Tyre & Industries Ltd. Using DuPont Analysis
Authors:   BNM Institute of Technology, India, Gowda Asmita Kavya , Vikas Dr. Bhavya , C M Dr. Charithra ,   BNM Institute of Technology, India,   BNM Institute of Technology, India
Published: September 2024

This article investigates the financial performance of JK Tyre & Industries Ltd. using the DuPont analysis model. The study focuses on evaluating the company's return on equity (ROE) by breaking it down into its key components: net profit margin, asset turnover, and financial leverage. The research utilizes financial data from the company's annual reports over the past five years to analyze trends and identify areas for improvement. The findings suggest that while JK Tyre maintains strong profitability, there are opportunities to enhance asset utilization and manage financial leverage more effectively. Keywords: Risk, Return on Investment, Profitability