bluuebunny/crossref_metadata_2025 huggingface dataset:
Having a good diverse job plan: The benefits of being a clinical psychologist supporting people who have intellectual disabilities
Authors: Beail Nigel
Published: December 2024

Working as a clinical psychologist with people who have intellectual disabilities involves doing a very wide range of things and having a fulfilling job.

In this article I outline many of the things that I have done in my job over the last 40 years.

During the last 40 years I have enjoyed doing a job that has contained so much variety and so many opportunities. As such I felt I should share my experience so that aspiring, trainee and qualified clinical psychologist are aware of how to have a fulfilling and enjoyable career. In this paper I share some thoughts on what led me to embarking on and staying in a career as a clinical psychologist supportingpeople who have Intellectual Disabilities (ID). I have used the BPS job planning guidelines to illustrate the diversity of the work clinical psychologists can do to support people who have ID.
When two worlds collide: Reflections of a mother and second-year trainee clinical psychologist on placement in a community intellectual disability team
Authors: Lloyd April
Published: December 2024

This article is written by a trainee clinical psychologist working in Intellectual Disability services who is also a mother to a child with additional learning needs.

Taking time to think about how these two roles affect each other is important.

There are certain things I have found supportive throughout this time.

Sharing this information may be helpful to other people who are working in services that may also be relevant to their personal lives.

As reflective practitioners, it is important to consider the relationship and interplay between personal and professional roles and experiences. Working as a trainee clinical psychologist on placement in an Intellectual Disability Service whilst parenting a child with additional learning needs has presented unique challenges, as well as opportunities for growth and development. In this article, I share some of my honest thoughts and reflections on the challenges and insights I have developed on this placement, the support mechanisms I have found most helpful throughout this time, as well as how this experience has shaped my hopes for the future.
Exploring the experiences of assistant psychologists in NHS learning disabilities services, using an appreciative enquiry approach
Authors: Morris Lisa , Venkitaraman Nithya , Alexander Derina , Mirzai Marva , Swainland Cathie , Larbi Dixie
Published: December 2024

A psychologist (Lisa Morris) who has worked in learning disabilities services for many years spoke to some assistant psychologists who work in the same service.

This was to find out what they have learned and enjoyed about working with people with learning disabilities.

This paper is an edited summary of a conversation which explores the experience of assistant psychologists (APs) working within the Birmingham service for adults with Learning Disabilities. A trainee psychologist was invited to take a reflective position. An Appreciative Enquiry approach was implemented, to elicit positive stories and understand hopes (Cooperrider & Srivastra, 1987).
Recruitment to ID psychology services: A summary of a research project exploring the attitudes of trainee clinical psychologists
Authors: Arnold Danielle , Spencer Alison
Published: December 2024

It can be difficult to find psychologists who want to work in intellectual disability (ID) services.

To improve this problem, we need to understand why it may have started.

Two research papers are summarised in this article – the studies look at what makes psychologists more or less likely to work in ID services when they qualify.

The findings suggest that when psychologists are being trained, there needs to be more of a focus on changing negative attitudes and ideas.

Recruitment of Psychologists into intellectual disability services is a recognised problem by the Faculty for People with Intellectual Disabilities. Previous literature suggests that attitudes towards individuals with intellectual disabilities, related to exposure to people of this population, could be an influencing factor. This article is a summary of a research project which has been written up in full for publication in Clinical Psychology Forum. It describes the combined quantitative and qualitative findings relating to why trainee clinical psychologists may be more or less likely to work in intellectual disability services on qualifying. The results suggest that attitudes and misconceptions towards working with this population and in ID services may be a driving factor.
Assessment Methods in Blended Learning Environments
Authors: Jafarov Sarkhan , Aliyev Yusif
Published: December 2024

Currently, many institutions and universities are using a model of blended learning in the educational context. The model will therefore be properly promoted in the classroom, allowing students to accumulate knowledge and develop skills through innovations that can be compared to technological developments and research based on available data. Therefore, this article provides educational innovations in the evaluation process within the framework of a BL model to ensure active and interactive learning. The study carried out a bibliographic analysis of 200 scientific articles from the Scopus and web of Science databases, which made it possible to identify universities and countries with the constant relevance of this model of education and compare them with a database of these citations, articles, and their global impact. On the other hand, using the Likert scale, a survey was conducted on 40 teachers of different subjects and 390 students from elementary to high school. Questions were presented in the form of perceptual values with appropriate analysis of these learning models, technical resources, flexible curriculum, pre-class learning, autonomous learning, and the results and evaluation of future professional abilities. This will help to find the existing motives between them. This is a problem faced by all countries, and so far there are only partial empirical results. That is, this problem requires a special pedagogical understanding in the theoretical aspect (training is virtual, and evaluation is real) and generalization of the practical experience of different countries.
MODERN METHODS FOR DETERMINING MEAT FRESHNESS: MINI-REVIEW
Authors:   Ural State Agrarian University, Kuleshova O.S. , Tikhonov S.L. ,   Ural State Forest Engineering University, Tikhonova N.V. ,   Ural State Agrarian University, Shikhalev S.V. ,   Ural State Agrarian University
Published: December 2024

Assessment of the freshness of perishable foodstuffs and food raw materials, in particular meat and
meat products, is an important area of research in the field of food systems. The main generally accepted
methods for determining freshness of meat include organoleptic, microbiological and physico-chemical parameters. One of the most accurate methods for assessing meat freshness is the analysis of changes caused by
the cleavage of adenosine triphosphate. To quantify purine derivatives in food products, as one of the indicators of freshness, high-precision methods are used, including high-performance liquid chromatography, capillary electrophoresis, extremely effective liquid chromatography with mass spectrometry, gas chromatography with mass spectrometry. All abovementioned methods are time-consuming, economically impractical
and require expensive equipment. A new direction in assessing the freshness of meat is the use of practical
biosensors that make it possible to inexpensively and quickly detect low concentrations of analyzed substances
– indicators of product freshness. The key requirement is considered to be the development of an optimal
sensitive surface that can stabilize biological recognition molecules and must be coupled with physical transducers that translate the obtained biological recognition data into a quantitative signal.
TECHNOLOGICAL BASICS OF INTEGRATED GRAIN DRYING AND STORAGE SYSTEMS
Authors:   Arctic State Agrotechnological University, Dondokov Yu.Zh. , Ammosov I.N. ,   Arctic State Agrotechnological University, Drincha V.M. ,   Arctic State Agrotechnological University, Afanasyeva T.I. ,   Arctic State Agrotechnological University, Parnikova T.A. ,   Arctic State Agrotechnological University
Published: December 2024

The paper reviews objectives of integrated drying and storage of agricultural seeds. Among the topics discussed are: decreasing moisture content of seeds to safe levels; cooling dried grain to ambient conditions; cleaning seeds before and after drying. The study presents comparative analysis of natural air drying,
low-temperature drying, drayage and combined drying. It also demonstrates reasonability of using of grain
mass stirring devices and biomass energy in plants for integrated seed drying and storage. The design and
technological classification of seed convective drying methods is presented. The process of seed convective
drying in thick layer is rationalized. The study determines seed layer-by-layer moisture content during convective seed drying in a thick layer. The main criteria to be considered are grain quality, energy efficiency,
capacity, operating costs, and farmer expertise. Integrated seed drying and storage systems lead to improved grain quality compared to high temperature drying. Natural air drying produces the best quality (if properly
operated), and needs the least amount of energy. However, its capacity is low and it requires the most attention and expertise of farmers. The strategies for controlling fans and heaters for bulk or aerated seed drying
are presented.
Beyond Three Dimensions: Decoding Multidimensional Flow Dynamics Through Innovations in Pressure Derivative Slopes for Better Understanding Reservoir Flow Regimes
Authors: H Escobar Freddy
Published: December 2024

Pressure derivative analysis has long been a cornerstone of well-test interpretation, offering invaluable
insights into reservoir flow regimes and their associated dimensions. This paper investigates the relationship
between the slope of the natural logarithmic pressure derivative and flow dimensions, proposing a novel perspective
that extends beyond the conventional three-dimensional space. By analysing key flow regimes such as radial, linear,
bilinear, and spherical stabilization flows, the study demonstrates how the concurrent interaction of multiple
flow behaviours can exhibit characteristics indicative of higher-dimensional systems. Theoretical derivations
for pressure derivatives and equivalent times are presented, facilitating accurate interpretation and mitigating
superposition effects during pressure buildup tests. The findings not only enhance diagnostic capabilities but also
challenge traditional understandings of fluid dynamics in porous media, providing a groundbreaking framework
for reservoir characterization in complex geological settings.
The SHQIPONJA (Eagle) Model (An innovative model inspired by the Home and its Values)
Authors: Lipaj Xhavit
Published: December 2024

The SHQIPONJA model represents an innovative, holistic approach to the care and support of people with dementia
that is based on the core values and traditions of Kosovar culture and can also be adapted globally. The name is derived from
the Albanian word “Shqiponja” (Eagle), which serves as a symbol of strength, freedom and orientation - characteristics that
are also anchored in the core of the dementia-friendly care culture. The model pursues an interdisciplinary methodology that
combines cultural identity, individual needs and social inclusion in order to enable both those affected and their relatives to
live in dignity.
Nine principles are central to the model: Meaningfulness, Hope, Quality, Individuality, Perspective, Openness,
Closeness, Youth and Activity. These principles reflect an ethical and person-centred approach that is operationalized
through specific measures. For example, the integration of cultural elements such as music, food and rituals promotes the
preservation of identity and provides guidance. Hope is strengthened through biography-based experiences of success
and regular discussions, while the quality of care is ensured through continuous training and internationally standardized
quality assurance measures. Individuality is respected through personalized care plans and close cooperation with relatives.
Prospects for social participation and dignified ageing are created through the establishment of day centers and mobile care
services. Openness and understanding should reduce social stigmatization, for example through intergenerational projects
and awareness-raising campaigns. Closeness and a sense of security are created through trusting relationships between care
staff and those affected as well as through homely interior design. Young people are integrated into a dementia-friendly
society through voluntary and school initiatives, while activities such as exercise programs and creative offerings promote
mental and physical health.
The model is underpinned by the values of Kosovan culture - community, respect, hospitality and closeness to nature.
This cultural imprint gives the SHQIPONJA model a unique characteristic that is relevant not only for the local but also
for the global context. The combination of traditional values with modern care concepts makes the SHQIPONJA model
a pioneering innovation in the field of gerontological care and offers an integrative framework for a future-oriented care
culture.
The Effect and the Evaluation of Major Minerals and Vitamins During the Development Period of Juvenile Dogs
Authors: Qiao Qian
Published: December 2024

As bone development is one of the fundamental health problems in juvenile dogs, feeding supplements help with bone growth and provide steady growth of joints during the young age of dogs. As there are multiple products from pet medicine companies that target the skeletal development of juvenile dogs through different ingredients, it is difficult for customers to tell which product brings more effect. This passage mainly analyzed the influence of five important nutrients, vitamin D, vitamin C, phosphorous, calcium, and magnesium, on the early stage of bone development. Moreover, this article utilized the research of those five fundamental nutrients to determine which product of the bone health supplement among three worldwide well-known companies, Dasiquin, Vetriscience, and Virbac, brings more benefit. After the comparison of the ingredient table of the products, the result remains unclear. All dog owners need to have a clear idea of what is provided to their dogs, especially for health. The research of different products of bone supplements not only saves time for dog owners questioning the product but also acknowledges what nutrients are essential for the health of the dogs. Even though the most effective product remains unclear, deepening the components of the ingredients might be helpful.
Progress in the Mechanism and Application of Microorganisms in Traditional Fermented Foods
Authors: Lu Sihan
Published: December 2024

Since a few centuries ago, fermentation has been used to preserve food and to enable the microbes in it to make the original food taste better, last longer and even become more nutritious. There's been a lot of research exploring the microbes in fermented foods and what parts of the microbes are good for people's bodies. These potentially beneficial parts of the body are called compounds, but the effects of their interactions and fermentation in different microorganisms have not been fully understood. This paper will explore the role of microorganisms in traditionally fermented foods, how lactic acid bacteria and yeasts can contribute to fermentation results, as well as the production of organic acids and the development of compounds. This paper also explores how to use starter cultures to produce the same results and examines the growth of dairy probiotics. However, there are still challenges in terms of microbial interactions and health effects on each other, and future research should focus on this area to improve knowledge as well as the application of food fermentation.
Design and implementation of the big data processing system based on cloud computing
Authors: Ye Ning
Published: December 2024

As a product of the development of information technology, cloud computing technology has outstanding advantages in data processing. Therefore, cloud computing technology has been widely used in the field of big data processing. Building a big data processing system based on cloud computing technology can not only improve the efficiency of data processing, but also effectively reduce the cost of data processing. In this paper, the design and implementation of the big data processing system based on cloud computing are taken as the research object, which first introduces the relevant knowledge of cloud computing and big data processing technology, then analyzes the requirements of the system, and designs the overall architecture and functional module of the system, and finally the system is tested. The results show that the system can effectively handle large data with good stability and scalability.
Lithium Batteries in Transforming Aircraft Energy Systems by Replacing Traditional Fuels
Authors: Xue Muyao
Published: December 2024

The increasing reliance on gasoline and fossil fuels has led to significant environmental challenges, including global warming and air quality degradation, which affect all aspects of human life. Aviation, a major contributor to air pollution, is now under pressure to adopt cleaner energy alternatives. Lithium batteries (LiBs) have emerged as a promising solution, offering a potential pathway for replacing traditional jet fuels in aircraft energy systems. This paper examines the feasibility of using LiBs in aviation, focusing on their advantages, such as rechargeability, higher energy density, and lack of memory effect when compared to conventional fuels. Furthermore, the study investigates the performance of lithium-powered aircraft, analyzing both power system efficiency and flight dynamics. By transitioning to LiBs, the aviation industry could achieve significant environmental benefits, including reduced emissions and improved sustainability. This paper highlights the key challenges and opportunities of integrating LiBs into aircraft, offering insights into the future of clean aviation.
Unpacking The Problems of Sex Education in Chinese Primary and Secondary Schools and The Improvement Measures
Authors: Zhou Yan
Published: December 2024

Adolescent sexual health is an important issue in society. However, its current school-based Sex Education for adolescents is still woefully inadequate. Based on the existing practical studies, this essay analyses the importance of school-based sex education and the existing problems in the context of China. The results show that school-based Sex Education helps improve the physical and mental health development of adolescents. In addition, it improves social stability and national development. However, the occurrence of sexual crimes related to minors, the Internet pornography have engendered negative impacts on adolescents, and the increasingly open-minded public sexual concepts are calling for the implementation of an enhanced program of school-based Sex Education. The analysis further reveals three main reasons for these problems. Firstly, China has an entrenchment of the concept of sexual shame. Secondly, there is a lack of related policies designed to support the progress. Lastly, the existing school-based Sex Education curriculum has many problems, and the relevant teaching staff is lacking. Therefore, a comprehensive proposal, encompassing applying the 'CSE+Peer Education' mode, fostering its school-family partnerships, and establishing professional and specialized teaching staff for Sex Education, is put forward to initiate effective Sex Education in Chinese primary and secondary schools.
Application Of Functional Food in Blood Glucose Regulation
Authors: Li Shiqi
Published: December 2024

Currently, as living standards continue to improve globally, the prevalence of diabetes is rising. This has led to diabetes becoming a significant global public health concern. Diabetes and its associated complications have a significant impact on human health. Traditionally, oral drugs and insulin injections are taken as the efficient ways to fight against diabetes, while always accompanied with adverse effects under certain conditions, which further underscores the importance of developing alternative treatments, among those, the functional foods based on natural active substances draw great attention, as their moderate efficiency and convenient administration manner. This paper presents a review of the glucose-regulating functional factors, including polysaccharides, polyphenols, flavonoids, and bioactive peptides with hypoglycaemic effects. It introduces the hypoglycaemic-related mechanisms of these factors and discusses the current shortcomings of research in this field, as well as future trends. This review provides insights that can inform the research and development of glucose-regulating functional foods.
ChatGPT Integration of English Education: Implications for English Language Learners' Cross-cultural Communication
Authors: Zheng Hanyue
Published: December 2024

ChatGPT as a product of technological innovation in language processing is bound to play a crucial role in language teaching and learning. This paper highlights the opportunities and challenges of six thematic clusters emerging from institutional research on ChatGPT in English language teaching and suggests measures to address them. The study shows that personalization brings developmental features that become one of the main advantages of student-centered participation in the language classroom and that speech recognition and translation algorithms provide authentic and valid corpus data that meets the needs of learners that cannot be achieved from traditional language learning. However, when considered at the cultural and educational level, language communication still needs to be modeled in depth for intercultural communication to achieve the purpose of socio-cultural communication. The incorporation and combination of ChatGPT for developing intercultural competence in this area of English language teaching in this study provides an important basis for educators and scholars.
IoT Device Identification Based on IP Traffic
Authors: Jiang Yuanchen
Published: December 2024

This study aims to address the challenge of IoT device classification by proposing a method based on the random forest classifier. By analyzing the network traffic characteristics of four common household IoT devices, we constructed a feature set and utilized the RF classifier for device identification. The experimental results demonstrate that the random forest classifier performs excellently in terms of precision, recall, and F1 score. By analyzing the network traffic characteristics of four common household IoT devices, we constructed a feature set that includes 20 important device feature information which can effectively represent device identity characteristics, and used the RF classifier for device identification. We conducted numerous experiments on a publicly available dataset and achieved an accuracy rate of 97.22%. The findings offer valuable references for the development of the IoT device identification field and point out potential directions for future research to further enhance the performance and adaptability of the classifier.
The Effect of Social Media Advertising on the Promotion of Fashion Brands: The Case of Fashion Nova
Authors: Chen Yuxuan , Xu Lesi
Published: December 2024

Social media advertising has showed as an important tool for fashion brand promotion with the advent of digital technology. In this study, Fashion Nova is used as a case study to investigate the impact of advertising in digital media on a fashion brand. The study consists a literature review and a case study. The aim is to examine the impact of social media advertising of brand image and market performance. Fashion Nova has increased brand awareness and consumer loyalty through the social media related strategies, including forming collaborations with key opinion leaders (KOLs) and integrating user-generated content (UGC). The results of the study show that Fashion Nova has rapidly grown its market share through the multi-platform social media advertising strategy. The particular success was among the younger demographics. The findings of the study emphasize the need for fashion brands to adopt a flexible approach to leveraging social media platforms. Combining Key Opinion Leaders (KOLs) and User Generated Content (UGC) in order to increase consumer loyalty. This study provides a theoretical framework and practical guidance for brands to develop digital promotion strategies.
Re-Creation and Misunderstanding of the Qipao from a Western Perspective
Authors: Gao Yuqing , Wang Shengyi , Wang Yuchen
Published: December 2024

The qipao is an important symbol of Chinese traditional clothing culture, with its development process undergoing numerous evolutions from the late Qing Dynasty to the present. It not only reflects the changes in Chinese society but also illustrates the transformation of women's status and aesthetic concepts. In the era of globalization, the qipao has gradually become a source of inspiration for Western fashion design. However, during the process of re-creation, Western designers often adopt an “Orientalist” perspective, simplifying the profound cultural connotations of the qipao and transforming it into a symbol of mystery and sexuality. While this misunderstanding facilitates the international spread of Chinese culture, it also has negative impacts on the cultural symbolism of the qipao. This article reviews the historical background of the qipao, explores its re-creation and cultural misunderstandings within the Western fashion industry, and analyzes the positive and negative impacts of this phenomenon on the dissemination of Chinese culture and the global trend industry.
Research And Application Analysis of Autism Spectrum Prediction Models Based on Alzheimer's Disease Research Methods
Authors: Liu Shu
Published: December 2024

Alzheimer's disease (AD) poses substantial challenges due to its complexity and the growing prevalence in aging populations. This paper explores advanced deep learning methodologies applied to the study of AD, extending these techniques to the analysis of Autism Spectrum Disorders (ASD). We begin with an introduction that outlines the urgency of researching neurodegenerative and neurodevelopmental conditions. Section 2 delves into the relevant theories surrounding AD, including its neuropathological and genetic underpinnings. In Section 3, we detail the adaptation of deep learning models originally developed for AD to enhance the understanding and diagnostic capabilities for ASD, highlighting the transferability of these methods. Section 4 further examines the applications of these adapted models in ASD research, showcasing their utility in identifying biomarkers and predicting disease progression. The challenges section discusses the limitations of current models, including data heterogeneity and the need for larger, annotated datasets. The paper concludes with a discussion on future directions, emphasizing the potential for these methodologies to revolutionize our approach to complex neurological disorders. Throughout, this analysis not only underscores the potential of deep learning in medical research but also sets a path for its expanded use in broader neurological studies.
The Interactive Relationship between Higher Education and Economic Situation in Society: From the Perspective of Employment
Authors: Quan Guixian
Published: December 2024

As the country progresses and develops, students access to higher education has received widespread attention, but the link between higher education and the country's economic development needs to be discovered and researched so that it can better contribute to the country's long-term development. This paper analyzes the current employment situation and employment problems. This paper analyzes that higher education can promote the country's economic development, but there are some problems such as the difficulty of employment for graduated college students, the lack of harmony between industry and education, and the single skills that students have. Based on this, this paper puts forward the following suggestions: first, strengthen the personalized counseling in colleges and universities, and give students relevant advice in time. Secondly, to strengthen the integration of industry and education, schools should pay more attention to the learning process and strengthen practical learning. Thirdly, more talents with 21st-century skills should be cultivated so that students can develop in various aspects.
Research Progress on Biomarkers of the Depression
Authors: Liu Yuanxiang
Published: December 2024

Due to the increasing number of individuals suffering from depression, there is much attention paid to the detection of depression. This review paper addresses the critical field of depression detection, examining innovative methods including serological tests, cerebrospinal fluid analysis, and imaging techniques. Serological markers like C-reactive protein and cytokines are highlighted for their potential in identifying inflammation associated with depression. The role of cerebrospinal fluid in providing direct brain markers is discussed, alongside the utility of imaging in visualizing brain metabolism linked to depressive symptoms. Though there is a large amount of evidence, more and further research is still needed, which ensures that these methods are more quantitative and precise enough so that we can put them into practice. The overview and understanding of these approaches are crucial to improving diagnostic precision, which is quite essential for developing effective treatment strategies and enhancing patient outcomes in the management of depression.
Design and Performance Optimization of Collision Avoidance System for Mechanical Vehicles
Authors: Ji Mutong
Published: December 2024

A collision avoidance system is designed and optimized in this study. The architecture design, signal processing and data fusion of the system are analyzed in detail, and the sensor selection, control unit integration and algorithm optimization are discussed. In this paper, a performance optimization method based on collision prediction algorithm and real-time and stability of the system is proposed, which solves the problems of system response delay and high false alarm rate, further discusses the optimization strategy of system integration and communication module, and achieves the effect of efficient cooperation and remote monitoring between systems.
Graphene and the Applications in Graphene-Based Flexible Sensors
Authors: Xu Zijun
Published: December 2024

The combination of biomedicine and intelligent technology has promoted the development of flexible sensors. This type of sensor requires highly flexible materials for modification, achieving the goal of improving wearability and performance. Carbon material is the most commonly used functional material in the world. Graphene, as a material composed of carbon elements, has excellent flexibility and conductivity. The discovery of graphene augmented the family of carbon materials. Graphene, as a two-dimensional material, completed a dimensional hierarchy of carbon material family. As graphene is high flexible with outstanding in-plane conductivity, graphene can be applied in the flexible sensors. Skin is the largest organ in the human body. It is stretchable and flexible. Meanwhile, the skin can perceive external signals. Wearable smart sensors, which exhibit high flexibility, can mimic the tactile sensing capabilities of human skin to detect various stimuli, such as pressure, strain, temperature, and humidity. This work focuses on graphene and graphene based flexible sensors. Its working mechanism and application are discussed. This work will contribute to the development of flexible wearable sensors.
Investment Analysis in the Technology Industry - Based on the Traditional Investment Framework
Authors: Wu Chuting
Published: December 2024

As the development of the global economy has entered an unprecedented situation, the direction of the future economic development trend of countries has been completely unpredictable, but from the direction of the efforts of countries around the world in recent years, the science and technology industry is still the only solution to break through the current medium trap. In recent years, science and technology enterprises have become an important direction of investment, and investors' demand for research and analysis of large science and technology enterprises is increasing day by day. In order to meet this demand, this paper selects three representative technology enterprises, uses a variety of means to analyze, and makes an in-depth discussion on the investment value of these three enterprises. This paper argues that the liquidity risk of these three companies is relatively small, there is the possibility of overvaluation, and Apple has the strongest profitability. The research results of this paper can bring marginal expansion for the future investment analysis.
Research Progress in Drug Application and Treatment of Breast Cancer Organoids
Authors: Lin Yitong
Published: December 2024

Background: In recent years, the incidence of breast cancer (BC) is high and on the rise. Organoids, as a new in vitro 3D culture model, play a huge role in BC treatment and drug development. Objective: To summarize the domestic and foreign research experience in BC organoids in drug screening, in order to provide new ideas for BC treatment.Summary: This article briefly summarized the mechanism of action of commonly used drugs for BC, including trastuzumab, tamoxifen, olaparib, paclitaxel, pembrolizumab, and the effects of HER-2 drugs and CDK4/6 inhibitors on BC organoids, clarified the importance of BC organoids, and drew the conclusion that more accurate treatment could be achieved by using this model. The successful establishment of papillary carcinoma organoids further demonstrated the feasibility of cultured 3D models in vitro. On this basis, drug sensitivity tests for different drugs were conducted, and it was concluded that fluvestrant had the best anticancer effect, thus proving that BC organoids played an important role in drug screening. In addition, organoid technology also has a good effect in the treatment of Triple-negative breast cancer (TNBC). Using this model for large-scale drug detection, four compounds including papirinestat, patinib, JIB-04 and TAK-901 showed effective activity on TNBC organoids, indicating that organoids can promote drug discovery. It is concluded that BC organoids are a potential therapeutic model, and the development of this technology provides an innovative approach to treating BC.
A Comparison of Research for Machine Learning Approaches for Fetal Health Prediction
Authors: Wu Shuqi
Published: December 2024

Forecasting fetal health is essential for spotting issues throughout pregnancy. However, complicated data is often a challenge for conventional statistical techniques to cope with. This study used a publicly accessible fetal health dataset and optimized the dataset through preprocessing steps such as removing outliers, selecting relevant features, and normalizing the data. Subsequently, four models, including random forest (RF), support vector machine (SVM), lasso logistic regression (LLR), and neural network (NN), were selected to train the data. The results showed that the RF model performed best with an accuracy of 0.9494. The NN model performed the worst with an accuracy of 0.8752. At the same time, the results showed that RF can handle small datasets, provide feature importance, and resist overfitting. However, all models in this study have inherent limitations. Future research should focus on combining multiple models and using larger and more diverse datasets to further improve the prediction performance and effectiveness of clinical applications.
Study on the multi-dimensional influence of large-scale sports events on the economic development of host cities
Authors: Pan Yingyu
Published: December 2024

With the continuous development of the social economy, more and more cities have begun to take the initiative to host large-scale sports events. Therefore, it is essential to analyze large-scale sports events' impact on host cities' economic development. This paper examines this problem from four aspects. First, this paper explores the potential of each sports event in the context of large-scale sports event hosting and develops its related surroundings to meet consumer demand, thus driving the vigorous development of urban sports tourism. Then, combined with the exercise and display of the city’s comprehensive strength, the event will show the image of a “promising government” and attract the circulation and introduction of foreign capital. Then, by demonstrating the government’s ability to coordinate and innovate, it can promote the long-term economic benefits brought by population inflow to the city, and undertake the city to promote the development of surrounding less-developed cities through transportation and other infrastructure construction, to promote regional coordinated development. This paper analyzes and comments on the positive impact of hosting large-scale sports events on urban economic development from these four aspects. At last, this paper expounds on the negative impact of hosting large-scale sports events, which may bring about a large amount of money to build venues, such as capital deficit and idle venues, and analyzes the specific impact.
Application of in Vitro Induced Stem Cell Differentiation Techniques
Authors: Du Tiancong
Published: December 2024

As an important breakthrough in the field of regenerative medicine, in vitro induced stem cell differentiation (ISCD) technology offers new possibilities for the treatment of intractable diseases. In this study, we investigated the application, advantages, limitations and future development of this technique through a systematic literature review. It was found that the main advantage of this technology is the avoidance of immune rejection, and it also shows great potential in improving the efficiency of treatment and expanding the therapeutic methods for difficult diseases. In the field of regenerative medicine, the technology has made significant progress in the application of hematopoietic stem cells, neural stem cells and mesenchymal stem cells. However, the current technology still faces challenges such as low yield, high cost and imperfect cell function. In addition, this study explores the potential of this technology for disease modelling, drug screening and personalized medicine. Despite the challenges, with the deepening of the molecular mechanism and the optimization of differentiation protocols, in vitro induced stem cell differentiation is expected to achieve wider clinical applications in the future, and to promote the development of precision medicine. Future research should focus on solving the existing technological bottlenecks and exploring a wider range of application scenarios in order to fully realize the potential of this revolutionary technology.
RT-DETR-Based Signal Modulation Recognition with AIFI-Dattention
Authors: Cao Minghao , Chu Peng , Guo Hongjie , Xing Wei
Published: December 2024

In response to the issues of high computational complexity, low accuracy, and cumbersome manual feature extraction steps in traditional machine learning algorithms for communication signal modulation recognition, a communication signal modulation recognition model based on deep learning is proposed. This model can directly recognize the category of communication signals after sampling and is characterized by high recognition accuracy, strong generalization capability, good noise resistance, and a simplified processing flow. It effectively addresses the limitations of traditional algorithms in automatic feature extraction. Through extensive experiments and accurate analysis of communication signal features, an end-to-end model based on the Transformer RT-Detr model is adopted, achieving high recognition accuracy.
Exploring the Function of English Translation in Cross-Cultural Communication
Authors: Xu Jingyao
Published: December 2024

With increasingly frequent political, economic, and cultural exchanges among countries and the rapid development of science and technology worldwide, the importance of translation is self-evident. To ensure accurate translation, translators must further study, understand, and master both Chinese and Western languages in the context of cross-cultural communication. Cross-cultural communication refers to the interactions between people from different cultural backgrounds, including those between nations, groups, and individuals. It involves the interesting process of converting between Chinese and English due to differences in these languages. Cross-cultural exchanges are characterized by the geographic, historical, and cultural differences between the East and the West, which often lead to challenges in communication. Translation, as a bridge, serves as an important means to promote cultural exchange and has made outstanding contributions to the dissemination and development of global culture. This paper focuses on analyzing the functions of English translation and the factors affecting it from a cross-cultural perspective. It proposes effective strategies for improving translation, which have significant implications for promoting cross-cultural communication.
Preface: 2nd International Conference on Innovation Management, Psychology, Education and Sociology (IMPES 2024)
Authors: Tracy Angelo , Li Zhengmao
Published: December 2024

The 2024 2nd International Conference on Innovation Management, Psychology, Education and Sociology (IMPES 2024) was held in Sapporo, Japan during December 14-15, 2024.
The main objectives of the conference are to promote research and development activities in innovation management, social psychology, educational technology, cultural studies, social policy, and sociology. Another goal is to promote the exchange of scientific information among researchers, developers, students, and practitioners around the world. IMPES 2024 can be a scientific forum to accommodate fruitful discussion among international researchers in various fields. We would like to thank all speakers, invited guests, and also other parties and donors for their continuous support to the success of this event. Hopefully, this event provides many benefits for us all.
Conference Organizing Chair
Sapporo, Japan
STM32-Based Bluetooth-Controlled Smart Car: Tracking and Obstacle Avoidance for 'Last Twenty Meters' Delivery
Authors: Zhu Yashi
Published: December 2024

This paper introduces the design and implementation of an intelligent tracking car based on STM32 micro-controller, aiming to provide a low-cost and efficient solution to deal with the challenge of "last twenty meters" distribution in the logistics industry. The system integrates a variety of sensors to realize autonomous movement in complex environment, with intelligent obstacle avoidance, tracking and Bluetooth control functions. By optimizing the hardware cost and simplifying the design, the project has demonstrated significant application value in the field of intelligent logistics, especially the practical application potential in short-distance automatic distribution.
Research Status and Prospect of Fan Foundation in Goaf Site
Authors: Jia Shengjin
Published: December 2024

With the development of wind energy resources, wind power has become one of the important clean energy. However, the stability and bearing capacity of wind turbine foundation directly affect the long-term operation of wind power projects, especially in complex geological conditions such as goaf. The goaf refers to the cavity area left after underground mining. The geological structure of these areas is unstable, and there may be phenomena such as settlement and displacement, which poses a serious challenge to the safety of the wind turbine foundation. Therefore, it is the key to ensure the successful implementation and operation of wind power projects to study the design and stability of wind turbine foundation in goaf. At present, the research on the fan foundation in the goaf mainly focuses on the foundation treatment, foundation design and structural optimization. The foundation treatment technology includes soil reinforcement, settlement compensation and other methods to improve the bearing capacity and stability of the soil in the goaf. In terms of foundation design, according to the geological characteristics of the goaf, the researchers proposed a variety of wind turbine foundation forms, such as shallow foundation, pile foundation and deep foundation, to adapt to different geological conditions. However, there are still some challenges in the current research, including how to predict the settlement law of the foundation in the goaf more accurately, how to optimize the design of the wind turbine foundation to improve the seismic resistance and tilt resistance, and how to improve the long-term stability of the foundation. With the development of artificial intelligence, big data and intelligent monitoring technology, future research is expected to further improve the design accuracy and reliability of fan foundation in goaf by combining advanced calculation methods and material technologies.
Role and Application of Wnt/β-catenin Signaling Pathway in Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Authors: Xu Linlang , Zeng Ziheng
Published: December 2024

The Wnt/β-catenin signaling pathway is a crucial signaling mechanism in multicellular organisms, regulating a variety of cellular behaviors. It acts a significant role in the differentiation of bone marrow mesenchymal stem cells (MSCs) into osteoblasts and in maintaining bone homeostasis. This involves promoting gene expression that is relevant and interacting with other  pathways to boost osteogenic differentiation when inhibiting the differentiation of cartilage and adipocytes. This paper reviews the role of the MSCs' osteogenic differentiation and the Wnt/β-catenin signaling pathway, explores the relationship between abnormalities in this pathway and various skeletal diseases, and discusses The Wnt signaling pathway can potentially be targeted in order to create medicinal strategies for these conditions, offering new insights for the treatment of skeletal disorders.
Content Ecosystem Construction of Soul App: Analysis based on User Behavior
Authors: Su Jiayi
Published: December 2024

In the era of rapid development of mobile Internet, Soul App, as a new social star focusing on soul communication and interest matching, its content ecosystem construction is crucial to consolidate its market position and enhance user experience. This study uses the SWOT analysis framework to assess the strengths, weaknesses, opportunities, and threats that Soul App faces in building a content ecosystem based on user behavior data. The study shows that Soul App demonstrates strong momentum in terms of user size, usage hours, and activity. However, Soul App still has potential for improvement in terms of content diversity and creation incentives. Therefore, this study proposes that Soul App should strengthen content ecosystem construction. Soul App can take measures such as cross-border cooperation and co-branding, innovative forms of content creation and display, and encouragement of user-creation mechanisms so that Soul App can maintain its leading position in the highly competitive social application market and realize sustainable development.