bluuebunny/crossref_metadata_2025 huggingface dataset:
Racialised minority women’s experiences of psychological intervention across perinatal and maternal mental health services
Authors: Amartey Carlos Kwei , Harris Kirsty , Fox Jessica
Published: March 2024

Policies such as The Perinatal Mental Health Care Pathways document (2018) state mothers and birthing people experiencing psychological difficulties should have timely access to evidence-based psychological therapies. However, psychological distress often goes unidentified in racialised minority women and birthing people who have poorer experiences and outcomes within perinatal contexts compared to White women. Whilst limited research has focused on this within the perinatal period, there is greater recognition concerning how culturally sensitive practices can facilitate equity in care outcomes. This service evaluation aimed to explore racialised minority women’s experiences of psychological intervention within a Perinatal and a Maternal Mental Health Service to evaluate service provision and inform service development. Semi-structured interviews with eight women who accessed psychological intervention were analysed using thematic analysis. Two superordinate themes were constructed, with findings suggesting participants had mostly positive experiences of psychological intervention. Cornerstones of therapeutic engagement comprised six subthemes: empathy, flexibility, the utility of psychological approaches, acknowledging family and community systems, points of difference and cultural context as a ‘spotlight’. This theme encapsulated psychological therapist’s relational and interventional approaches alongside participant preferences which influenced intervention experiences. Therapists were generally experienced as empathic and flexible although some participants desired greater flexibility relating to various practical aspects. Psychological approaches were experienced as beneficial although some wanted greater exploration of childhood trauma and found trauma-focused CBT emotionally demanding. Most participants preferred female therapists due to various socio-cultural reasons and felt systemic factors and their cultural context were acknowledged which enhanced the therapeutic relationship and outcomes where relevant with the inverse also apparent. History repeating itself comprised three subthemes (lack of representation, mistrust of the system and disorientation in help-seeking). This reflected mainly Black participants’ negative healthcare experiences and structural racism. Therapeutic and organisational implications are discussed.
Path analysis of urinary incontinence in older adults living in nursing homes
Authors: Fidyk Samuel de Jesus , Oliveira Maria Liz Cunha de , Ramos Lílian Barbosa , Roriz Anna Karla Carneiro , Ribeiro Sandra Maria Lima , Ferreira Letícia do Nascimento Maximiano , Silva Henrique Salmazo da
Published: March 2024

Objective: To investigate the factors associated with urinary incontinence in older adults living in nursing homes. Methods: This exploratory, cross-sectional, observational, and quantitative study used exploratory and path analysis (PA). Eighty-six older adults living in nursing homes in the city of Salvador, Brazil, and the city of Brasília, Brazil, were included. Data were collected from January to March 2020, before the Covid-19 pandemic. The following variables were evaluated: sex, age group, functional performance, global cognitive function, comorbidities, and health conditions. We considered urinary incontinence for older adults who answered affirmatively to the “In the last 12 months, have you had an involuntary loss of urine?”. Data were initially analyzed by descriptive analysis and nonparametric statistical tests. A PA was performed using generalized structural equation modeling to investigate the relationship between the variables of interest and the direct and indirect effects of the independent variables and UI according to the theoretical model. Subsequently, the statistical distributions of the variables and the connections were defined for the regression estimation. After the analysis, the model was respecified, excluding the variables and paths that were not statistically significant to determine the best model. The final model was designed after statistical adjustments, corroborating or not with the theoretical model. Results: Urinary incontinence was associated with educational level, marital status, hypertension, one or more difficulties in basic activities of daily living, mood, insomnia, loss of appetite, fecal incontinence, and difficulty swallowing. In the PA, depression and difficulty swallowing were directly associated with urinary incontinence, and urinary incontinence was directly and significantly associated with insomnia and fecal incontinence. Conclusion: Given the variety of social and health components associated with urinary incontinence, it is necessary to assess, prevent, treat, and rehabilitate this condition in Brazilian nursing homes. Interventions in urinary incontinence demand integrated actions in functional, clinical, and mental health aspects to promote the well-being of older adults living in nursing homes.
Study of the clinical profile of older patients with bipolar disorder in a tertiary care center in the Midwest of Brazil
Authors: Moura Mateus Teixeira de , Machado Flávio Vieira , Martins Gabriela Lopes , Gonçalves Lair da Silva , Mendonça Jussane Cabral , Camargos Einstein Francisco , Nóbrega Otávio de Toledo
Published: March 2024

Objective: This study aimed to describe the clinical and psychiatric characteristics of older outpatients with bipolar disorder (BD), including psychiatric history (age of onset of symptoms, length of time with the illness, and number of psychiatric hospitalizations), mood state, and cognitive function. Methods: This was a cross-sectional study where clinical and demographic data were obtained by a psychiatric interview with each patient and family members as well as by a review of medical records. The sample consisted of 20 individuals aged 60 years or older with a diagnosis of BD type I according to the Diagnostic and Statistical Manual of Mental Disorders, 5th edition. Descriptive data analysis was performed, with categorical variables expressed as absolute and relative frequencies. Results: No patient had manic or depressive symptoms at the time of the evaluation; 15 (75.0%) had an early onset while 5 (25.0%) had a late onset of the disease. Nine patients (45.0%) showed no cognitive decline whereas 11 (55.0%) showed mild cognitive impairment. Conclusions: This study presents an understudied group of patients with BD. Considering the personal impact and burden on the health system related to this psychiatric condition, it is recommended that further studies be conducted in this area to better evaluate this growing population.
Open Reduction and Transosseous Plasty of the Dorsal Scapholunate Ligament in a Patient with Mayfield type IV Chronic Lunate Dislocation, Case Report, Literature Review and Description of Surgical Technique
Authors: Quinto González Karla Luisa
Published: March 2024

Introduction Perilunate dislocations represent 3% of carpal injuries. They begin in a radial direction, destabilizing the scapholunate interval, and as the injury continues, there is a progressive sequence of instability, altering the anatomy of the carpus, causing significant functional deterioration. The acute diagnosis goes unnoticed, evolving into its chronic form. There are few reports of treatment in its chronic phase with a limited number of patients and follow-up evaluation is often limited. Objective We present a case of late diagnosis of chronic lunate dislocation that was managed surgically and review of the existing literature for diagnosis and treatment, as well as the surgical technique for its resolution. Clinical case 66-year-old male, fall from the plane of support, hyperextension mechanism of the right wrist, 2 months of evolution causing pain, progressive increase in volume, functional limitation. Treated with non-steroidal anti-inflammatory drugs for four weeks without improvement. Radiographically, loss of lunate joint congruity - capitate. Magnetic resonance images of avascular necrosis of the lunate. Diagnosing chronic semilunar dislocation of the right hand. Preoperative Quick-Dash 70.4 pts. A double dorsal and volar approach is performed to release the carpal tunnel, place a transosseous cerclage, and three 1.6 mm Kirschner pins in the scapholunate interval; semilunopyramidal and scaphocapitate. Immobilization with antebrachipalmar splint, removal of Kirschner pins at 7 weeks and referral to physical rehabilitation. 20 postoperative weeks, range of motion with flexion of 35° and extension of 30°, without visible sequelae to mobilization, and with Quick-Dash 20.4. Conclusion Early diagnosis and treatment are necessary to prevent the potential risk of avascular necrosis of the lunate and scaphoid, and secondary osteoarthritis. Reconstruction of the chronic pathology of lunate dislocation and scapholunate ligament (SL) remains a major challenge. There are unresolved issues regarding when to perform reconstruction rather than repair and therefore treatment remains controversial.
The Influence of Trust, Security and Service Quality on Purchasing Decisions
Authors: Rina Ayu Vildayanti  , Imanuel Rahul
Published: March 2024

The purpose of this study aims to determine the effect of Trust, Security, and Quality of service on consumer Purchasing Decisions in Application online shop Zalora Indonesia in Tangerang. This type of research is quantitative methode. The sample used was 100 respondens with a sampling methode using non-probability sampling with accindetal technique. The data collection technique was through a questionnaire with a likert scale which had been processed using SPSS sofware version 26. The result of this study indicate that the sequrity and quality of service variables each have a significant effect on purchasing decision, while the trust variable has no significant effect on purchasing decisions
The Development of China’s English Education Policy in Primary and Middle Schools Within the Framework of Language-In-Education Planning (From 1949 To 2023)
Authors: Lan Zhicheng
Published: March 2024

With the burgeoning prevalence of the English language on a global scale, one of the central foci of language-in-education planning research lies in the escalating influence of English on the educational frameworks of virtually all nations worldwide. The intensifying forces of globalization and cultural diversity have contributed to an augmented need for individuals with exceptional levels of English proficiency. Faced with English's preeminence in contemporary society, governments have recognized the critical importance of English instruction in primary and middle schools as a composition of their language-in-education planning. The paper highlights China's English education policy in elementary and secondary schools during the last 50 years. and points out that the evolution of primary and middle school English education has been a process of constant adjusting and modification under the impact of different elements, including national politics, the economy, diplomacy, and society. Based on the characteristics and problems of foreign language education in China today, this paper proposes that policy formulation should increase the participation of local levels, the scope and the depth of the policy content and should also strengthen the supervision and support of policy implementation.
The Analysis of the Situation of Migrant Students in China
Authors: He Qianrui , Li Sujie , Wang Zhenge , Wu Kedi
Published: March 2024

Due to the household registration system (Hukou) acting as an institutional barrier, migrant children face a lot of challenges in China. They are prevented from gaining local education resources, such as library, computer lab and gym. This led to the formation of low-quality migrant schools to respond to strong schooling demand. So migrant children face more difficulties than urban students. They get poorer performances and are more vulnerable than urban children. Analyzing the situation of migrant children can help policy makers improve existing policies to enhance the quality of education for them. By summarizing several literatures, this paper found that except Hukou system, imperial examination in the history also caused the poor performance of migrant children. Besides, on society and family level, social work such as media publicity and in depth investigation into migrant family is recommended. In terms of government, more money from the government is needed to increase the quantity and quality in educational resources and institutions. Schools can organize activities to promote the integration of migrate children and apply advance teaching method to improve the academic achievement. Based on the current situation, several proposals are proposed to help migrant children in the final section.
Optimal planning for UAV disaster response based on mathematical modeling
Authors: Liu Shuheng
Published: March 2024

For the case of natural disasters in island countries with incomplete conditions that lead to the destruction of basic services, we analyze a real example of the island of Puerto Rico and propose a response plan using mathematical modeling methods. We compute the optimal path for the delivery of medical kits using the UAV dynamic response mechanism. We consider it as a multi-objective path problem and work to achieve cost reduction, transportation time saving, and efficiency, and build an optimization model for the calculation. The results show that our model calculation outperforms other solutions.
DEM Based Wear Analysis and Optimization of the Chute System in Transfer Stations
Authors: Zhang Panpan , Huang Guoqing , Chen Qingwei , Zhao Huanzhang
Published: March 2024

With the increasing application of bulk cargo transfer station in ports, it is one of key problems to effectively solve the wear problem of the chute system and to reduce the maintenance cost of port equipment and improve the production efficiency. Taking the actual wear of the chute as an example, this paper analyzed the causes of the wear of the chute system used in the bulk cargo transfer station based on the discrete element method (DEM), and the problems of the original chute design was revealed. On this basis, the optimization scheme of chute was put forward from two aspects of reducing the wear degree and facilitating the replacement of lining plate.
Research on security control technology of smart community based on personnel positioning management
Authors: Long Chao , Wu Wenjing , Wang Donglin , Liu Wenxia
Published: March 2024

as the place where residents live, safety has always been the top priority of community construction. Safety has also become one of the important factors for residents to choose the community. At present, there are common problems in the community, such as large personnel flow, chaotic data management and weak comprehensive management ability. At the same time, there is a large flow of people in the community, and public security incidents occur from time to time. It is difficult to solve the problem of personnel management only through traditional security control means. Based on face recognition and Bluetooth positioning, community identity verification, personnel positioning and trajectory analysis management are realized. Through the positioning analysis of community personnel, combined with face recognition and other intelligent systems, comprehensively improve the quality of community security.
Simulation modeling and safety analysis of the mixed traffic flow with connected automated trucks platoon and human-driven vehicles
Authors: Xing Shouchuang , Yin Shicong , Li Jiaojiao
Published: March 2024

The rapid development of intelligent connected vehicles makes it possible to achieve breakthroughs in the application of technology in the connected automated trucks platoon(CATP) in the scenarios of ports, logistics parks, etc., but the safety of the mixed traffic flow formed by it and traditional human-driven vehicles has not been fully recognized. This paper builds a simulation scene based on SUMO(Simulation of Urban Mobility) simulation software, builds traditional human-driven vehicles and CATP car-following model, and studies the safety analysis of the mixed traffic flow of CATP and human-driven vehicles. According to the Traci interface of SUMO and PYTHON programming language, the functions of connected automated environment configuration and real-time data acquisition are realized, and the safety of mixed traffic flow is evaluated using multiple safety surrogate measures(SSM) such as time exposed time-to-collision(TET) and time-integrated time-to-collision(TIT). The simulation results show that when the CATP penetration rate is less than 0.5, the security risk of mixed traffic flow increases with the increase of penetration rate; When the CATP penetration rate exceeds 0.5, the safety risk of mixed traffic flow will be significantly reduced. The research conclusion of this paper has reference significance for the safety and practical implementation of CATP in ports and logistics parks.
Indoor and Outdoor Fusion Positioning Technology Based on BeiDou Satellite Navigation
Authors: Wang Liang , Yan Yan
Published: March 2024

In order to solve the inaccuracy and discontinuity of BeiDou differential indoor and outdoor navigation and positioning, this article highlights an indoor and outdoor fusion positioning method based on BeiDou differential and WIFI. This positioning method combines the micro-inertial navigation positioning technology with a single positioning method such as Bluetooth, WIFI fingerprint, ZigBee, ultra-wideband UWB, etc., to correct the BeiDou pseudo range equation to reduce the spatial pseudo range error. And it can integrate BeiDou differential pseudo range equation and linear filtering algorithm to achieve precise positioning of navigation. The research results show that the method realizes the positioning of the indoor and outdoor interactive area by fusing the satellite pseudo-range equation and the base station pseudo-range equation. And it realizes the seamless integration of indoor and outdoor precise positioning, which improves the positioning accuracy and reliability.
Design and implementation of intelligent reservoir inspection system based on Internet of Things and deep learning
Authors: Shi Zhenning , Zhang Yanyan , Yu Chenchen , Lin Chenxi , Ni Yuhao
Published: March 2024

The safety test of reservoir dam is the focus of reservoir safety management. Aiming at the technical and management problems in the traditional inspection methods, this paper proposes an intelligent inspection system of reservoir based on Internet of things and deep learning. Based on the Internet of things and deep learning technology, the system constructs a system architecture including perception layer, information fusion layer, intelligent diagnosis decision-making layer and inspection terminal layer, which realizes the inspection requirements of intelligent perception, information fusion, safety identification, emergency management, etc. Taking ZhangJiang reservoir as an example, the intelligent inspection system of reservoir based on Internet of things is developed, which can meet the needs of daily management and safety management of reservoir. It is an important part of realizing intelligent water conservancy construction of reservoir engineering.
Research on Seismic Exploration Velocity Modeling Based on Deep Learning
Authors: Gai Dianguang , Tang Tingmei , Li Hui
Published: March 2024

As the core parameter of seismic exploration, seismic wave propagation velocity runs through the seismic exploration process. The construction of reasonable and accurate velocity models is an important basis for exploration technologies such as high-precision seismic offset imaging, data processing and interpretation. The current velocity modeling strategy is limited by the target geological body, which has a long calculation period, high calculation cost, and is seriously affected by human subjective factors, and its adaptability to complex geological formations is poor. Based on this, this paper studies the accurate speed modeling method of universities. Firstly, the principle of earthquake detection is analyzed, and then the speed modeling based on improved fully convolutional neural network is studied. A velocity modeling fully convolutional neural network (VNB-FCN) is constructed to directly extract geological features from seismic data and establish a high-precision velocity model. Compared with the traditional velocity modeling method, the VMB-FCN model effectively avoids the problem of excessive dependence of neural networks on standard seismic datasets, and improves the accuracy and efficiency of seismic exploration velocity modeling.
Research on ultimate Bearing Capacity of large Steel Box Girders under bending Moment
Authors: Wang Longfeng , Xu Tian , Ma Li
Published: March 2024

In order to study the ultimate bearing capacity of large welded box girder with initial imperfections, this paper considers the influence of material nonlinearity, geometric nonlinearity and initial imperfections, and uses the arc length increment method to modify Newton-Raphson formula to solve the problem. Through a large number of numerical simulation calculation, the calculation formula of stability ultimate bearing capacity of box girder under bending moment is summarized. The formula takes web height thickness ratio and flange width thickness ratio as parameters, which has a certain reference value for calculation and design of stability ultimate bearing capacity of welded box girder.
Optimization of transportation problem algorithm based on MATLAB
Authors: Lu Yun , Zhang Yuejiao
Published: March 2024

Whether it is the transportation problem with balanced production and marketing or the transportation problem with unbalanced production and marketing, the transportation problem with balanced production and marketing can be obtained by transformation. The transportation problem is usually solved by directly applying the transportation simplex method on the table of the freight rate table to find the optimal solution. The selected initial transportation scheme needs to adjust the input variables for many times to get the optimal transportation scheme, resulting in a relatively large amount of calculation of the mathematical model. Using the powerful computing power of MATLAB software, write the corresponding program, and realize the solution of the optimal scheme of transportation problem through running the program.
Application of LIMS laboratory information management system in testing laboratory
Authors: Liu Qing , Yang Ke , Feng Simin
Published: March 2024

LIMS laboratory information management system, with testing business process management, quality control management, comprehensive resource management, query and statistics and other functions. It adopts B/S development mode, designs and develops based on 5-level architecture, and adopts MySQL database to ensure high security and reliability of the system. The data collection of more than 150 inorganic and organic indicators has been preliminarily realized, the laboratory data collection work has been completed, and the method of comparison with the manual transcription report has been adopted to verify the reliability of the laboratory test data and improve the efficiency and management level of the laboratory.
Research on the application of Genetic algorithm in traffic control
Authors: Du Hui
Published: March 2024

With the continuous development of our country's traffic network, the difficulty of traffic control is increasing, the use of various methods to optimize traffic control has gradually become a trend. This paper selects genetic algorithm in traffic control, and provides a more efficient design idea through the optimization of the past algorithm, in order to make a contribution to the improvement of our traffic control efficiency.
Design and Implementation of Flight Inquiry and Booking System Based on Microservice Architecture
Authors: Li Wei
Published: March 2024

This paper presents the design and implementation of Flight Inquiry and Booking System Based on Microservice Architecture. The system built on the Spring Cloud Alibaba and Kubernetes framework, not only provides basic flight inquiry and ticket booking functions, but also performs well under high concurrency and responds within 1 second. The system can expand or shrink its service scale according to traffic needs during actual deployment.
Analysis on game popularity and difficulty
Authors: Shen Qiuyu
Published: March 2024

Since its debut in New York Times, the Wordle, a five-letter word guessing game, quickly gains its worldwide popularity in various languages. Statistics, such as the number of hard-mode players, distribution of scores, have been collected from Twitter. In this work, such statistics are thoroughly analyzed by newly developed mathematical models, which unravel underlying correlations among various attributes of the word, the number of players, the number of attempts, etc. We refer our models as GUESS, which is named after the models developed for the analyzing Wordle. We propose an AutoregrESSive Integrated Moving Average (ARIMA) model, in which the date is taken as the time and the number of reported results is chosen as the time series data. We arrive at a prediction interval of [8502.06, 14372.14] for the number of reports on March 1, 2023. Such models offer reasonable explanations for the daily variation on the number of reported results and reliable prediction interval on the number of reported results in future. We build a Gradient Boosting Tree (GBDT) regression model based on the correlation analysis, which takes the word attributes that correlate with the score percentages as independent variables. Data shuffling is performed to ensure that both the training and test sets contain various types of data. We propose a ClUster Analysis Model K-means++ to classify the difficulty of solution words. Extensive cluster analysis demonstrates that the solution words with higher word frequency or initial letter rank are easier to guess; nonetheless, the solution words with higher word repetition rate are more difficult. Cross validation tests show that our classification is highly accurate. Finally, we conduct sensitivity analysis on our model, which reveals its robustness to parameters. In addition, we summarize our strengths and weaknesses. Our results are summarized in conclusion.
A Review of Critical Thinking Pedagogical Strategies Used in College English Reading
Authors: Liu Huirong
Published: March 2024

In the teaching of English reading in universities, critical thinking has been emphasized by more and more teachers. In today's society, the internationalization of higher education has become a trend, and putting the internationalization of education into effect requires the growth of critical thinking. This study presents a comprehensive summary of the pedagogical strategies employed to develop critical thinking in college English reading courses. The paper is divided into four parts: firstly, a brief description of the background and educational significance of critical thinking, secondly, an elucidation of the definition of critical thinking, thirdly, a brief review of the thinking ability models related to critical thinking at home and abroad, and finally, a compendium of related teaching strategies to improve critical thinking. The results of this study show that nowadays critical thinking instruction in college reading in English may be taught in relatively straightforward ways, and it is hoped that in the future, educators would look into more adaptable and comprehensive teaching methodologies.
A Conceptual Framework for Understanding Presidential Longevity
Authors:   Manhattanville University, Wepner Shelley , Henk William ,   Marquette University, Broege Nora ,   Manhattanville University
Published: March 2024

High turnover rates with college and university presidents make longevity an important matter for higher education. This paper provides a conceptual framework that identifies factors affecting presidents’ ability to stay in their positions, especially when their longevity is desirable. The framework builds upon 26 years of previous work involving the leadership practices, characteristics, and longevity of education deans, academic deans, and Chief Academic Officers. Four major categorical factors, both internal and external to self, are described that contribute reciprocally to presidents’ ability to last on the job. These four factors—personal identity, professional identity, professional capacities, and professional environment—are connected with each other and intersect with the maturing of one’s ego so that one has the capacity to adapt appropriately to situations. This framework begins to develop a portrait of critical leadership characteristics needed for success and satisfaction with the most prominent position in higher education.
The Relationship Between Pregnant Women's Knowledge About Anemia and Stunting Incidents at the Panyabungan Jae Community Health Center, Panyabungan District, Mandailing Regency, Christmas 2022
Authors: Rosiana Agnes
Published: March 2024

This study aims to delve deeper into the relationship between pregnant women's knowledge of anemia and the incidence of stunting among children at the Panyabungan Jae Community Health Center, located in the Panyabungan District, Mandailing Natal Regency, in 2022. Employing an analytical observational design, the research involved 200 pregnant women as research samples. Data were collected through structured interviews using a questionnaire focusing on pregnant women's knowledge about anemia, while children's nutritional status was assessed to determine the incidence of stunting. Statistical analysis included correlation and regression tests to examine the relationship between pregnant women's knowledge of anemia and the occurrence of stunting in their children. The study results revealed a significant correlation (p < 0.05) between the level of knowledge of pregnant women about anemia and the incidence of stunting in their offspring. Specifically, pregnant women with a better understanding of anemia tended to have children with a reduced risk of stunting. Furthermore, factors such as socioeconomic status, access to health services, and dietary habits were identified as potential influencers in the relationship between pregnant women's knowledge about anemia and stunting. These findings underscore the importance of educating pregnant women about anemia as a fundamental aspect of efforts to mitigate stunting in children. Additionally, enhancing health services at Community Health Centers and raising public awareness about the significance of optimal nutrition during pregnancy are essential strategies to address the issue of stunting in the region effectively.
Zero Trust-Based Blockchain Based IoT Security with Consensus and Access Control Framework
Authors:   Information Technology Department, College of Computer and Information Sciences, Majmaah University, AlMajmaah, 11952, Saudi Arabia, Ahmad Ahmad
Published: March 2024

As the Internet and computer technology develop, more gadgets are linked wirelessly, expanding the Internet of Things (IoT). IoT is a huge network of sensors and gateways that links them. IoT devices generate images, music, video, digital signals, and more by interacting with their surroundings. To exchange resources and information, all IoT equipment and apps may connect to the Internet. Everything is connected in our world. Due to the broad deployment and massive size of IoT devices, access control of device resources is problematic. Obtaining IoT device resources unlawfully will have major implications since they include personal and sensitive information. Many systems and situations employ access control technologies to secure resources. Discriminatory, identity-based, and MAC access control schemes are traditional (mandatory access control). However, these centralized methods have single-point failure, scalability issues, poor dependability, and low throughput. IoT devices may belong to several organizations or people, be mobile, and function badly, making centralized access management problematic. Another innovative data management solution is blockchain, which uses distributed storage to stabilize data. A transaction writes the data reading or modification record into a block, and the blocks are connected as a chain using a hash to maintain data integrity. It synchronizes data between nodes via a peer-to-peer network and consensus process, assuring data consistency for blockchain network participants. Zero Trust-Based Blockchain, an open source blockchain development platform, offers more efficient consensus methods, larger throughputs, smart contracts, and support for different organizations and ledgers. Proposed work build the fabric-IoT access control system using Zero Trust-Based Blockchain to apply blockchain technology to IoT access control in this study. Distributed processing and storage for IoT data may solve these critical issues with blockchain. Thus, developing distributed IoT-based e-healthcare services using blockchain technology may have been feasible. FabricIoT can keep records, handle dynamic access control, and solve the IoT access control problem using distributed architecture.
The Impact of Online Learning Models on Educational Implementation and Issue Analysis
Authors: Wang Yazhuo
Published: March 2024

When compared to in-person settings, despite the fact that online platforms provide flexible access, there are major pedagogical constraints that limit the ability to maintain student engagement and motivation. With the exponential growth in online education, comprehensively evaluating the efficacy and persistent barriers that constrain learner outcomes is imperative. This paper provides an in-depth analysis of the evolution of online learning models, ideal frameworks, resultant transformations in teaching methodologies and learning processes, key challenges like uneven motivation and academic performance, and potential solutions. The findings reveal that despite expanding access and flexibility, fully online models hamper engagement and achievement due to transactional designs, social isolation, and motivation declines. However, emerging blended, multimedia and learner-driven personalization showcase the potential to match offline results by balancing experience, outcomes and access if challenges are addressed. Recommendations encompass competency analytics, teacher retraining in online best practices, tailor-made content, modernized platforms and inclusive upgrades to enhance user experience. Comparative research on motivation factors and skill building across settings can guide universal designs to fulfill online learning's global promise for equitable and rewarding access at scale.
Unpacking Gender Norms in China: A Discourse Analysis of Opposition Voices to Selling Sanitary Products on Trains
Authors: Shi Yiran
Published: March 2024

Recently, there has been an online debate about whether sanitary pads should be sold on China's high-speed trains. In this paper, the author puts a major focus on those distasteful and malicious comments by male participants in this controversy and examines how these reflect the conflicts and complexity that exist underneath gender roles for women in contemporary Chinese society. Discourse analysis is used in the study. Twenty-five social media posts and comments are systematically coded according to their tones, themes of opposition, and implied gender dynamics. As a result, it is discovered that a large number of comments exhibit gender stereotypes and are insensitive to women's needs; this reveals the general negligence about and misconceptions regarding womens sanitary needs. Additionally, the predominant tone of these comments is sarcastic and hostile, which shows adherence to traditional gender role norms and disdain for public discussion on women's health issues. Concerns about economics and practicality are also mentioned but tend to be lost amid the overall dismissal of women's needs. This study reveals how public awareness and attitudes toward women's sanitary needs are influenced by the tension between traditional gender views and progressive social thought.
A Review on the Impact of Stereotype
Authors: Dong Xiaoyu
Published: March 2024

Stereotype of women is that they are weak, caring and emotional in peoples society. It leads to prejudice or discrimination against women, such as sexism (benevolent sexism). But other studies have suggested that stereotypes about women are not entirely negative. This article explores how stereotypes about women affect women and whether they are harmful. In the first part of the literature review, it will first summarize the impact of stereotypes on the workplace. As times change, stereotypes about women's employment are much more positive than they used to be. However, most people still have more negative thoughts about women's employment attitudes, especially female leaders. In the second part, this paper will demonstrate the influence of stereotypes on mate preference. While some research contends that benevolent sexism can have a favorable influence on women's social status, others highlight that benevolent sexism actually has a more detrimental effect on women. Women tend to prefer males who exhibit benevolent sexism, despite being aware of the possible risks associated with such attitudes.
Analyzation of Relationship Between Social Media Platforms and Star Worshiping Behavior Through Cases and Make Suggestions
Authors: Zhu Weilin
Published: March 2024

In the era of popular social media, celebrity worshipping behaviour has also changed with the advancement of social platforms. This article examines the relationship between social media platforms and celebrity worshipping behaviour and influences. Study the interactions and relationships between social platforms, fans, celebrities and people who do not worship a celebrity. This article will be based on two cases: the Lisa Crazy Horse Show incident and the Chinese celebrity fans reporting website. This article will use these two cases to analyze the pros and cons of social media star chasing from the perspective of real life and online platforms. Finally, this article will focus on four aspects and give some suggestions: social media supervision, companies restrictions on celebrities behaviour, celebrities supervision of their fans, and fans suggestions on the caution of speaking on social media. However, these suggestions also have some drawbacks, such as controlling the extent of these restrictions and not restricting peoples freedom of speech. Moreover, it is difficult to ensure that companies and celebrities implement supervision.
The Influence of Internet Celebrity Effect on the Development of Modern Tourism Industry: Case of Litang
Authors: Guo Cheng
Published: March 2024

The internet celebrity effect is a newly emerging effect in the era of big data on the internet, which exerts a unique influence on economic development. Several aspects of the internet celebrity effect align with certain marketing strategies in the modern tourism industry, making it undoubtedly one of the significant drivers of economic development in this sector. Building upon this premise, this paper takes the case of Ding Zhen, a young man from Litang who gained popularity. We conduct an in-depth study through qualitative analysis and comparative analysis, comparing it with Yajiang County to explore the significance and value of the internet celebrity effect. The internet celebrity effect can enhance social attention to tourist destinations, boost regional tourism industry development, and achieve economic growth in the tourism sector.The analysis explores how to leverage the internet celebrity effect to advance the modern tourism industry. It underscores the interconnectedness between the internet celebrity effect and the modern tourism industry, emphasizing the full utilization of the internet celebrity effect's role to enhance economic development in the modern tourism industry catalyzed by this phenomenon.
Dual-Factor Investment Strategy: Market Trends and Performance Growth
Authors: Ma Ningwei
Published: March 2024

The driving forces behind stock price increases are twofold: investor expectations for the future and market sentiment. Investors prefer stocks with growing performance as they are essentially investing in the future. Market sentiment, characterized by heightened enthusiasm for buying and selling stocks, contributes to remarkable gains in stock prices, with some sectors experiencing multiple consecutive limit-up movements. Against this backdrop, this study formulates an investment strategy that combines market trends and performance growth as dual factors. The research outlines the logic, specific implementation, timing of transactions, and risk management measures associated with this strategy. Using the optical communication sector as an example, the study tests the investment strategy and concludes that stocks with strong performance or anticipated growth, situated in trending sectors with sustained market conditions, are worth purchasing. Additionally, timing transactions strategically can yield favorable returns.
Apple's 2022 Financial Trends and Recommendations for Investors
Authors: Sun Huangai
Published: March 2024

With the downturn in the economic situation that most companies continue to glide after COVID-19, the operation of large companies has been a concern in various fields. Apple has not been affected by the situation affected by COVID-19 in recent years and still maintains a good state of operation. This paper aims to analyze the economic situation of Apple in 2022 and predict future economic trends by data analysis and example analysis. In this way, some companies affected by the economic situation can take a lesson from Apple's case to ride out the downturn. This paper also discusses three hot topics about Apple, Including the iPhone hardware subscription plan, MR products and return on shareholder capital. It can be found that Apple has an excellent economic trend and its worth investing in for investors. In the end, some risks that investors may face in the future will also be evaluated for investors.
Data analysis based on COVID-19Important factors in the COVID-19 outbreak
Authors: Li Tianzuo , Pan Yilin
Published: March 2024

With multiple industries around the world receiving significant impact following the 2020 pandemic outbreak, the Covid-19 pandemic has highlighted the importance of health care systems in managing and containing infectious diseases. This article examines the relationship between the level of health care services and the number of Covid-19 infections, taking into account factors such as detection and contact tracing, case treatment and management, and resource constraints. While countries with stronger health care systems may be better able to respond to a pandemic, resource constraints and other factors may also play a role in determining infection rates. Overall, the relationship between health care and Covid-19 infections is complex and influenced by multiple factors, highlighting the need for sustained investment in health care infrastructure and systems. In this article, we aim to analyze which factors influence the number of infections in the New Crown outbreak. Our study shows that some factors are significantly associated with the number of infections in the epidemic, while certain factors are not significantly associated, and are considered to be consistent with survey expectations and make recommendations and outlooks.
The comparison and analysis of Skip-gram and CBOW in creating financial sentimental dictionary
Authors: Zhang Xingjian , Zhang Lu
Published: March 2024

Textual analysis is increasingly used in various fields due to data availability, computing power, and machine learning techniques. In finance, sentiment analysis is essential for obtaining excess returns, and building domain-specific lexicons using word2vec is a prevalent method. The CBOW and Skip-gram algorithms have different predictive methodologies and performances depending on the task and dataset. This paper reviews financial sentiment analysis using a dictionary method and compares the performance of the two algorithms. CBOW trains faster than Skip-gram when dealing with a small amount of text data, but as the amount of data increases, Skip-gram becomes more efficient. Besides, the Skip-gram captures more synonyms of the selected words than CBOW.
Parkinsons disease diagnosis through electroencephalographic signal processing and neural network classification
Authors: Zou Junfeng , Zhao Yufei
Published: March 2024

Parkinson's disease (PD) is the second most prevalent neurological disorder, following Alzheimer's. Despite this, there is currently no successful treatment for PD. Therefore, early detection of Parkinson's disease is crucial for preventing its progression. To address this, a computer-aided diagnosis system has been implemented to identify any abnormalities. Significant research has been conducted using speech and gait analysis. However, there is growing interest in using electroencephalographic (EEG) signals to diagnose Parkinson's disease at an early stage. This paper aims to use EEG to capture neural correlates of dysfunction in PD patients and compare with the normal ones to determine whether a person has PD. The method is to preprocess the EEG dataset using MATLAB and EEGLAB and to analyze and classify the preprocessed data using MLP neural networks, which has good expressiveness and adaptability. Our dataset contains 25 sets of data with 11 healthy people and 14 Parkinson's Disease patients. Experiments show that the model has an average test accuracy of 96.8% and average test loss of 12.8%.
Advanced approaches to prevent ARP attacks
Authors: Li Qijun , Dong Yipeng
Published: March 2024

Nowadays, there exist various types of Address Resolution Protocol(ARP)-based attacks, such as ARP flood attacks, ARP spoofing host attacks, attacks that spoof gateways, man-in-the-middle attacks and Internet Protocol(IP) address collision attacks. Focusing on the prevention to ARP spoofing, this paper first introduces S-ARP, a secure version of ARP utilizing asymmetric cryptography and focusing on message authentication rather than traffic confidentiality that aims to mitigate such attacks. It then talks about a modular approach based on multiple modules utilizing databases instead of focusing on ARP table cache to detect and mitigate ARP cache poisoning. At last the paper talks about an approach with Software Defined Network(SDN) to prevent cloud computing from being vulnerable to ARP poisoning. We then make some comparisons of these methods from three aspects in the comparison section and give the advantages of each method. In the end, these scenarios are summarized in the concluding section of the paper.