bluuebunny/crossref_metadata_2025 huggingface dataset:
Empirical Study on BYD Stock Price Prediction Based on LSTM Model
Authors: Cheng Xiangrui
Published: October 2024

This study employs Long Short-Term Memory (LSTM) neural network models for stock price prediction. LSTM models excel in managing nonlinearities and time-series dependencies in data, thereby enhancing the accuracy of stock price forecasts, reducing investment risks, and increasing returns. Investors can reasonably use the LSTM model to predict stock prices and obtain greater returns. The research utilizes eight years of historical data from BYD, including opening prices, closing prices, highest prices, lowest prices, and trading volumes, as training data. By adjusting various hyperparameters such as epochs, learning rates, and training-test ratios, the study analyzes their impact on the predictive accuracy of the model and identifies optimal configurations through comparative experimental methods. We found that the best parameters were when epoch number was 25, training ratio was 90:10 (minimum mean square error was 0.00175572) and 4 years of training data was selected as the training set (minimum mean square error was 0.00146477).
Transformation and Development of New Energy Vehicle Industry Based on Social Policy Inquiry
Authors: Yang Yiwen
Published: October 2024

The new energy vehicle industry has drawn the interest of international attention with the growing global demand for sustainability and reduction of carbon footprint. The growth of the New Energy Vehicle (NEV) industry is profoundly influenced by global policies aimed at driving technological innovation, meeting environmental requirements, and facilitating economic transformation. Multiple stakeholders, from policymakers to companies, from consumers to technology developers, are working together to drive the rapid growth of this industry. By analyzing research and practices from various nations and areas, insights can be gained on strategies for successfully advancing the growth of the new energy vehicle sector. From a social point of view more environmentally friendly, reducing the pollution of the traditional class of oil vehicles on the environment; from the consumer point of view, due to the fierce competition in the growth of the automotive new energy sector, the businessman will provide more tempting products to attract consumers, to promote the consumer to pick the price is more suitable for the quality of the product better, and further increase customer satisfaction. The future development of the new energy vehicle industry relies on progress on multiple fronts: policy, technology, and market. The healthy development and environmental sustainability of the industry can be more effectively promoted through international cooperation, technological innovation, and a deeper understanding of consumer needs. Policymakers need to take these factors into account to ensure that policies are both relevant to current market and technological realities and adaptable to future changes.
A Financial Analysis and Valuation of Shell
Authors: Guo Yuwen
Published: October 2024

In todays era of global energy transition, the strategic choices made by energy giants like Shell carry immense significance, shaping not only their own future blueprint but also profoundly influencing the overall energy sectors trends. The article provides a comprehensive analysis of Shell plc with liquidity, solvency, profitability, and valuation analysis of 2023 with its main competitors in the oil and gas industry. Despite facing challenges from fluctuating commodity prices and regulatory changes, Shell maintains a competitive advantage and favorable market position. The company demonstrates robust financial health, with strong liquidity, solvency, and profitability ratios compared to industry peers. Nevertheless, the analysis reveals the companys profitability ratios lag behind competitors, indicating room for improvement. Although facing uncertainties in future commodity prices and regulatory environments, the analysis highlights Shells commitment to balancing environmental goals with shareholder value, as evidenced by its energy transition strategy. Shells stock is still fairly valued according to the analysis, presenting a compelling investment opportunity with its well-constructed financial framework. Overall, Shells strategic plans and adjustments aim to ensure resilience and adaptability, promising investors sustainable development amidst evolving market dynamics.
The Application of Fintech (Financial Technology) and Risk Management
Authors: Lu Cheng
Published: October 2024

This paper provides a comprehensive overview of the impact and applications of financial technology (Fintech) across various sectors such as payment and clearing, lending, wealth management, insurance, and risk management. It highlights the transformative potential of Fintech in enhancing financial efficiency, inclusiveness, and risk management through the utilization of modern technologies like big data, artificial intelligence, and blockchain. The paper delves into specific examples such as online payment systems, peer-to-peer lending platforms, robo-advisory services, and blockchain technology. Furthermore, it discusses the challenges and risks associated with Fintech, including regulatory issues, security concerns, and the need for effective risk management practices. The abstract emphasizes the importance of responsible risk management in ensuring financial stability and preventing systemic risks in the Fintech sector. Overall, the abstract provides a comprehensive understanding of the role of Fintech in shaping the future of the financial industry and emphasizes the need for effective regulation, risk management, and technological innovation to harness its full potential while mitigating associated risks.
Sustainable Supply Chain Development Strategies in the Fast Fashion Industry: A Case Study of Nike
Authors: Yuan Junyi
Published: October 2024

With the acceleration of globalization, companies are increasingly concerned about environmental protection and social responsibility, and sustainable development has become an important trend in industrial development. The fast fashion industry has attracted much attention due to its rapid market response, mass production, and frequent style updates. However, its supply chain faces many challenges in terms of sustainability. Based on this background, this study delves into sustainable supply chain management in the fast fashion industry using Nike as a case study. By analyzing Nikes strategies, practices and achievements, this paper provides useful suggestions and insights for achieving sustainability in the fast fashion industry. Nike has positively contributed to supply chain sustainability by promoting a circular economy, establishing a green supply chain and optimizing inventory management. This study can provide an important reference for the sustainable development of the fast fashion industry and a guide for companies to innovate and improve continuously under the global sustainability agenda.
Strategic Cost Control and Management in Corporations
Authors: Han Yichu
Published: October 2024

In today's new situation and new state of affairs, the modernization of society with the gradual development of information technology, with people's consumption level, medical level of life gradually improve the pursuit of culture is more and more diversified, information is more and more prosperous. Various industries and fields have begun a new class of more intense competition, they are not limited to business competition, but need to go from the root of the reasonable integrated planning, in order to put more favorable funds into the follow-up input and important links, so in the current situation to form a good enterprise cost management control is critical to determine the development of the enterprise. This paper will discuss the importance of enterprise cost management control through the four different industries of enterprises according to their characteristics, and provide a certain exploration program, expound the relevant theories of enterprise cost management control, and combined with the status quo to give the basic measures.
SWOT Analysis of Future Trends in BEV-related Technologies: Xiaomi Automobile Co., Ltd's Latest Product as a Case Study
Authors: Ding Junhan
Published: October 2024

The new energy vehicle sector has benefited from numerous subsidies in response to the World Environmental Protection Organization's and governments' calls for a reduction in carbon emissions. Battery-electric vehicles (BEVs), the kind of EV with the lowest carbon emissions, have gained popularity in the automotive industry. Using a battery system as a power system not only improves efficiency but also ensures that it does not pollute the environment. Along with other technological advancements like the incorporation of cutting-edge chips in the central controls of the vehicle and latest AI systems, the convenience of BEVs for consumers keeps increasing. This paper introduces the new technology systems included in the latest products launched by Xiaomi, such as the new battery system, smart driving system, and all-round AI system. Then more analyses of the strengths, weaknesses, opportunities, and threats of BEVs in the future with the impact of new technology. The analysis not only raises some of the technical issues that need to be addressed in BEVs today but also points to the crisis that will exist in the BEV market in the future. After analyzing the situation, some recommendations and directions for in-depth research were given. And take Xiaomi's latest BEV product as an example to further do a SWOT analysis of Xiaomi's strategic development into the BEV market.
Risk Management of Supply Chain in Prefabricated Buildings: A Case Study of Leishenshan Hospital
Authors: Chen Jinhao
Published: October 2024

Based on the research of other scholars, this article divides the prefabricated building supply chain into six stages: design and development, production procurement, warehousing and transportation, lifting construction, and facility recycling. Taking the well-known prefabricated building of Leishenshan Hospital as an example, this study analyzes the possible risks of these six stages in the prefabricated building supply chain, such as insufficient design capabilities, production efficiency, the low standardization level of molds, transportation policy constraints, insufficient protection of components during the warehousing and transportation stage, insufficient organizational capacity, inadequate supervision, and problems such as missing recycling processes. Due to the special nature of Leishenshan Hospital, which has received great attention, some risks that have been avoided due to special reasons have been proposed, and the power of management personnel has been strengthened for these risks, digitization and standardization of molds, and strengthen on-site management level. From this study, construction, component production, and design enterprises can learn from measures such as increasing awareness of component recycling.
Segmenting the Chinese New Energy Compact SUV Market: A Latent Class Analysis of Consumer Preferences
Authors: Zhao Yulun
Published: October 2024

The burgeoning new energy vehicle (NEV) sector in China, particularly the compact SUV market, presents a dynamic landscape for consumer preferences and behaviors. This study employs a latent class analysis (LCA) to segment the Chinese new energy compact SUV market, aiming to identify distinct consumer groups with homogeneous preferences and behaviors. Utilizing a comprehensive dataset of 6,720 consumer samples sourced from a reliable automotive statistics website, the study delineates two primary consumer segments: "Luxury Brand Preference Buyers" and "Normal Brand Rejection Buyers." The findings reveal that the former segment exhibits a marked preference for luxury brands, and tends to make fewer purchases, predominantly in the last quarter of the year 2023. In contrast, the latter segment shows a strong preference for another luxury brand and a balanced distribution of purchase quantities throughout the year, with a clear rejection of normal brands. These insights are instrumental for NEV enterprises to develop targeted marketing strategies that cater to the specific needs and preferences of these consumer segments, thereby enhancing market share, consumer satisfaction, and loyalty.
Strategies Management for Mass Customization in the Apparel Industry: Case of Market Demand and Risk in China
Authors: Wu Junjie
Published: October 2024

With the development and adjustment of the industrial structure, the manufacturing industry, especially the transformation and upgrading of the apparel industry, is crucial for Chinas high-quality economic development. This paper studies the strategies of cooperation, consumer demand response, and risk identification and control in the mass customization market of the Chinese apparel industry. Firstly, it explores the co-creation strategies among enterprises in mass customization, analyzing cases of efficient resource allocation and cooperation in excellent apparel companies. Secondly, from the consumer behavior perspective, it studies how companies meet personalized needs through combined online and offline marketing models and brand positioning strategies. Finally, analyzing the supply chain, consumers, and internal aspects of enterprises, the risk factors in the mass customization market are identified, and corresponding pre-control measures are proposed. This study aims to provide management suggestions for apparel enterprises in the wave of mass customization, helping small to medium-sized enterprises (SMEs) face market challenges and improve operational efficiency and market competitiveness.
Technology Company Stock Trend Prediction Based on ARIMA Model
Authors: Xu Jiajun
Published: October 2024

With the development of finance, more and more people are paying attention to stock price prediction, hoping to gain economic benefits from it. From the literature review, due to the complexity of stock trends, it is necessary to study the analysis of industry stocks. This paper studies the effectiveness of the autoregressive moving average model (ARIMA) for 5 stocks in the technology industry. Then, we will compare and parameterize the ARIMA model by using the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). After the data processing, we find that the development prospects of four head technology companies have steadily increased due to years of economic accumulation and stable operation. However, as a technology company that has emerged in recent years, OpenAI is extremely susceptible to external factors such as academic fraud and AI replacing manual labor. Its stock trend has fluctuated greatly and its prospects are sluggish.
Comparative Analysis on the Application of Markowitz Model and Index Model in Portfolios
Authors: Wu Enxu
Published: October 2024

This article presents a comparison between the Markowitz model and the index model, focusing on their applications in portfolio management. The Markowitz model, also known as the mean-variance model, revolutionized portfolio theory by introducing a quantitative method for balancing risk and return. This model constructs optimal portfolios that maximize expected return for a given level of risk or minimize risk for a given expected return, using a covariance matrix to assess relationships between asset returns. In contrast, index models popularized by William Sharpe offer a simplified approach focused on the relationship between individual asset returns and a common benchmark (usually a market portfolio). The article explores the theoretical foundations of the two models, highlighting their mathematical formulations and assumptions. It also discusses the computational methodologies involved in implementing these models and examines the challenges and advances in optimization techniques. It evaluates how these technological innovations have enhanced portfolio optimization, enabling the handling of larger datasets and more complex market dynamics. In addition to comparing these two models, the article delves deeper into the concepts of efficient frontier, inefficient frontier and minimum variance frontier. The efficient frontier is the portfolios that offer the highest expected return for target risk, while the inefficient frontier includes portfolios that do not offer the best return for the level of risk. Minimum variance frontier focuses on portfolios that minimize risk for target expected return, emphasizing the importance of risk management in investment decisions.
The Impact of AI Industry Growth on U.S. AI Sector Stocks: A Machine Learning Analysis
Authors: Li Jinhui
Published: October 2024

The rapid development of artificial intelligence (AI) since 2020 has significantly impacted the U.S. stock market, necessitating a deeper understanding of its influence on AI-related stocks. This study aims to analyze and predict the returns of the Global X Robotics & Artificial Intelligence ETF (BOTZ) as a proxy for AI industry performance. Employing Random Forest and XGBoost machine learning models, we trained on over a thousand data points to forecast BOTZ ETF returns. Our research reveals that AI-focused stocks and ETFs have outperformed the broader market since 2020, driven by increased AI adoption across industries, substantial research and development investments, and shifting investor sentiment towards tech-centric portfolios. The machine learning models demonstrated promising results in capturing complex market dynamics and providing reliable predictions. This study underscores the potential of integrating machine learning with financial analysis, offering valuable insights for investors and stakeholders in navigating the evolving landscape of AI-influenced markets.
A Study of Property Intrinsic Value Prediction Based on Machine Learning Modeling
Authors: Zhang Wentao
Published: October 2024

When purchasing goods, buyers consistently prioritize the fairness of the price to make informed decisions, particularly for high-value items. This consideration becomes even more crucial in the real estate market, where verifying the fairness of a property's asking price through conventional methods can be challenging. This study addresses this issue by aiming to develop a functional predictive model that can estimate a property's intrinsic value using various machine learning techniques. By analyzing the California Census Data published by the US Census Bureau, this research investigates the potential for determining a property's intrinsic value based on readily available information about the block in which the property is situated. The study's objective is to create a model that provides accurate and reliable property valuations, helping buyers make more informed decisions and promoting transparency in the real estate market. This model leverages demographic, economic, and housing data from the census to predict property values, potentially transforming how properties are appraised and traded. By offering a method to verify asking prices, the research seeks to enhance fairness and efficiency in real estate transactions, providing a valuable tool for buyers, sellers, and real estate professionals alike.
Machine Learning Applications in Stock Price Prediction
Authors: Shen Tianyao
Published: October 2024

With economic fluctuations, investors focus on the stock market where scientific investment strategies become increasingly crucial. This article utilizes linear regression to predict stock price trends, achieving an R value close to 1, indicating high accuracy in the model's predictions. Additionally, logistic regression and random forest classification models were employed to predict stock price movements, revealing a superior performance with the random forest model achieving an AUC value of 0.64. By employing a combination of regression and classification algorithms, this study offers a diverse perspective on stock price prediction, highlighting the importance of scientific forecasting in financial markets. The findings demonstrate that integrating multiple predictive models enhances the accuracy and reliability of stock price predictions, providing investors with precise market information to facilitate rational investment decisions. Furthermore, this research contributes valuable insights for future studies in stock market prediction, promoting continuous innovation and development in the theoretical and methodological aspects of this field. The results underscore the potential of advanced machine learning techniques in financial forecasting, offering a robust framework for understanding market dynamics and improving investment strategies. This study serves as a reference point for both academic research and practical applications, driving forward the evolution of predictive modeling in finance.
A Review of Traditional Methods and Deep Learning for Face Recognition
Authors: Zeng Hongyun
Published: October 2024

Face recognition technology is a key research direction in artificial intelligence and computer vision. It first originated in the 1960s, when Bledsoe et al. proposed and studied computer programming based on face recognition. It is divided into three steps: face detection, feature extraction, and face verification. This paper briefly introduces the wide application of face recognition in various fields such as vulnerable groups, analyses its characteristics and progress from the viewpoints of traditional learning and deep learning, and focuses on the methods based on face feature extraction (including geometric features, texture features, local features, etc.). From the previous studies appear some problems connected to environmental changes, such as light change, facial occlusion, posture and privacy leakage, etc. This paper will give the possible reasons for these problems and give the possible development direction of the future by exploring the current face recognition technology to provide a reference for the related research of face recognition technology.
Cura-LLaMA: Evaluating open-source large language models question answering capability on medical domain
Authors: Zhu Jiean
Published: October 2024

This paper presents the development and evaluation of Cura-LLaMA, an open-source large language model (LLM) tailored for the medical domain. Based on the TinyLlama model, Cura-LLaMA was fine-tuned using the PubMedQA dataset to enhance its ability to address complex medical queries. The models performance was compared with the original TinyLlama, focusing on its accuracy and relevance in medical question-answering tasks. Despite improvements, the study highlights challenges in using keyword detection methods for evaluation and the limitations of omitting non-essential columns during fine-tuning. The findings underscore the potential of fine-tuning open-source models for specialized applications, particularly in resource-limited settings, while pointing to the need for more sophisticated evaluation metrics and comprehensive datasets to further enhance accuracy and
Improving the deferred acceptance algorithm for efficient sponsor-recipient matching
Authors: Guo Yiqi
Published: October 2024

As the gap between rich and poor in China has become increasingly prominent, various charity platforms have emerged. However, due to information asymmetry, many recipients cannot receive effective donations, and the emergence of fraudulent donations also makes donors unable to fulfill their intentions. We designed some improvements to the delayed acceptance (DA) algorithm and applied it flexibly in the donation platform. This can improve the efficiency of matching between donors and recipients. The variant of the DA algorithm is designed to carry out multiple rounds of matching, give donors and recipients the opportunity to select the matching priority list based on various factors and use a reasonable matching mechanism to achieve Pareto efficient, strategy-proof, and stable matching. Therefore, the application of the variation of the DA algorithm in the donation problem can better match the needs, so that the platform can complete a more reasonable and efficient donation matching.
Challenges and Future of Sustainable Development in Chinese Cities from the Perspective of Urban Poverty Alleviation
Authors: Qin Yu
Published: October 2024

In today's world, facing various global challenges such as climate change, poverty, inequality, and environmental degradation, the United Nations proposed a global action plan in 2015 - the Sustainable Development Goals, with SDG1 aiming to eradicate all forms of poverty. The rapid pace of global urbanization in the 21st century is bringing new challenges. Among them, poverty is a major issue with serious implications for sustainable urban development. In China, poverty has always been a focal point of government and societal attention. By the end of 2020, absolute poverty in rural areas of China had been effectively eliminated, but urban poverty has increasingly become prominent, affecting the sustainable development of Chinese cities. The purpose of this research is to collect information from literature, identify research hotspots and trends in urban poverty alleviation in China, and analyze the challenges faced by sustainable development in Chinese cities and how to address these issues. This study analyzes the research hotspots and trends in urban poverty alleviation in China through the use of CiteSpace software and bibliometrics in order to promote sustainable urban development in China.
The effect of Baduanjin exercise on cognitive function in elderly people: A systematic review based on near-infrared spectroscopy technology
Authors: Zhao Tong
Published: October 2024

To systematically evaluate the application of near-infrared spectroscopy technology in the study of the effect of Baduanjin exercise on cognitive function in elderly people. Relevant literature was retrieved from PubMed, Web of Science core database, ScienceDirect, Wanfang, VIP, and CNKI from 2014 to June 2023, and relevant data were extracted. A total of 1 valid literature was obtained, published in 2022, sourced from the medical journal FRONTIERS IN PUBLIC HEALTH, with an impact factor of 6.46. This journal belongs to JCR Q1 area, and the SCI basic version of the Chinese Academy of Sciences is in the Q3 area of medicine. The inclusion criteria for the subjects of this study were age 60 years, experience of Baduanjin exercise for 3 years, and MMSE score 24 points. This study, based on functional near-infrared spectroscopy technology, explores the effects of Baduanjin imagery and Baduanjin exercise on cognitive function in elderly people. Baduanjin exercise can increase brain connectivity, improve brain structural connections, and enhance brain function in elderly people. These three factors are also the main reasons for Baduanjin exercise to promote the improvement of cognitive function, including increasing brain gray matter volume, brain functional area connections, etc. Baduanjin exercise can improve specific cognitive functions by increasing gray matter volume. Baduanjin exercise can regulate the functional connections of the cognitive control network in elderly people and improve their memory.
To what extent is transgenic technology beneficial to human beings?
Authors: Yang Shunfan
Published: October 2024

Genetic engineering is a field which explores the possibility of modification or manipulation of genetic materials using various techniques and technologies. Broadly speaking, hybridisation, gene isolation and recombination, fall in this field. The most recent milestone development in this area would be CRISPR technology, which harnesses a component of the bacterial immune system. To elaborate, CRISPR acts as a precise molecular scissors to cut target sequences, thus allowing gene modification to take place. In the progression and advancement of this field, society has been carefully observing its consequences and impact. The utilisation of this technology has raised concerns such as the unknown detrimental impact of genetically modified food sources. On the other hand, the benefit of genetic engineering is self-evident. This article explores the various impacts of genetic engineering and concludes that the advantages of genetic engineering are overshadowed by its many benefits.
To what extent, which factor has the most significant role contributing to the risk of hypertension?
Authors: Huang Jinyuan
Published: October 2024

The existing lifestyle that people have in contemporary society is certainly insufficient to maintain a physical health which can be related to cardiovascular and other diseases, especially like hypertension. While for the inherited or natural genes, they can be mutated or born with the diseased gene fragment that could lead to the potential risks of hypertension, such as congenital hypertension. One of the most significant current discussions in the field of research is which factors are more associated with hypertension. There are two mainstream opinions on this: lifestyle factors and genetic factors. However, there is still some uncertainty about it, such as a lack of data, exceptional examples and especially which kinds of factors really have a dominant role which means they can have a joint role in hypertension. In this essay, the author discusses some specific lifestyle and genetic factors including sleep, diets, exercise, weight, and tooth brushing (minority), and aims at finding detailed information on what play a dominant role leading to the risk of hypertension. Besides, it also illustrates that hypertension is associated with many aspects of factors, not only have combined but also separate roles and some other factors like area, age and gender can also play a role in it.
THE INFLUENCE OF THE FEED ADDITIVE "CELLOBACTERIN" ON THE GROWTH AND DEVELOPMENT OF BULLS
Authors: Khairullina N. I. , Gafarova F. M. , Bayburin I. A. , Gafarov F. A.
Published: October 2024

One of the promising areas for the development of livestock farming is the use of supplements for the enzymatic breakdown of feed, which promotes more efficient digestion. Research to study the growth and development of Simmental breed bulls with the addition of a feed additive in the form of the enzyme preparation «Cellobacterin» to their diets was carried out in the conditions of OJSC Sterlibashevsky district of the Republic of Bashkortostan. In the diets of bull calves, in addition to the main feed, the enzyme preparation «Cellobacterin» was included in different quantities. Bulls of the first experimental group in the amount of 15 g/animal per day, 2nd experimental group - 20 g/animal per day and 3rd experimental group - 25 g/animal per day. The drug has a positive effect by accelerating and increasing the growth of animals. At 18 months age, the following indicators were established for the difference in live weight between the control group and the experimental ones in favor of the experimental ones: 11 kg (2.5 %) in the first experimental group, 18.7 kg (4.2 %; P 0.05) - in the second and 26.7 kg (6.0 %; P 0.01) in the third experimental group. Experimental bulls consuming the drug at a dose of 25 g/head per day in general during the experimental period had a significant superiority over their peers of both the base variant and other experimental groups in all growth indicators by 18 months of age. Metabolic disorders were not observed in the experimental animals, as evidenced by blood composition indicators.
COMPLEX OF FEED ADDITIVES IN DIETS OF BROILER CHICKENS
Authors: Pskhatsieva Z. V. , Kairov V. R. , Bulatseva S. V. , Yurin D. A. , Arbieva Z. Kh.
Published: October 2024

To this date to achieve high indicators in poultry farming, the use of feed additives is relevant. The purpose of the study is to study the influence of firming of the probiotic and sorbents on the organoleptic indicators of poultry meat. Studies were conducted in the conditions of the Mikhailovskaya poultry farms of the Republic of North Ossetia-Alania, subject to all requirements for the methodology of scientific and production research on poultry feeding. Cross-Broilers Cross «Ross-308» were divided into four groups. The first group received full -time farming feed. The second group received compound feed with the addition of a “Sporotermine” probiotic. The third group - compound feeds with 0.1 % of the “Sporotermine” and bentonite 3.6 % of the mass of feed and the fourth - compound feed with the addition of a “Sporotermine” probiotic and active coal feed additive (ACFA). The tasting of the broth and meat was carried out on a 5-ballast scale. The overall assessment of the quality of the chest muscles of experimental groups varied with the control group-by 0.10-0.36 points. The quality of the broth, according to organoleptic, in the 3rd experimental group exceeded analogues from the control group - by 0.22 points. According to the indicators of the elementary chemical muscles the meat of chickens of 3 experimental groups which received a comprehensively both probiotic and sorbent, there was an increase in the content of CB in the chest muscles - by 0.72 %, protein - by 1.04 % reliably and against this background there is a decrease in the amount of fat - by 0.21 %.
Burnout Syndrome among Emergency Physicians and Residents: A Systematic Review
Authors: Mohammed Basnawi Abdullah , Yahya A Hader Hussam , Mohammed Khalid Awadh Al Makir  , Ali H Abu Sabir Danah , Hamad M Al-Balawi Abdulelah , Imad M Bahkali Razan , Hisham A Alghbban Deema , Ahmed M Alqarni Abdulaziz , Abdullah H Almuteb Sara , Abdullah Albalawi Amal , Jamal M Albalawi Yasmin , Ahmed G ALJAHANY Daey , Abdulmohsen S Alanazi Omayrah , Abdullah Mohammed A AL Madshush
Published: October 2024

Objectives: To study the risk factors and prevalence of burnout and its dimensions among emergency physicians in Saudi Arabia.
Methods: PubMed, SCOPUS, Web of Science, and Science Direct were systematically searched for relevant literature. Rayyan QRCI was employed throughout this comprehensive process.
Results: We included fourteen studies with a total of 1810 patients, and 1068 (59%) were males. The MBI-HSS was the scale used to assess burnout. The prevalence of burnout ranged from 15.57% to 76%. The following factors were associated with higher burnout risk: smokers, people using medication for sleep disorders, number of vacation days annually, number of workdays per week, female sex, single status, early medical practice participants, resident physician/surgeon employment category participants, people whose current job negatively impacted their family life, and people with back pain.
Conclusion: Saudi physicians in emergency medicine have the highest burnout rates of any profession, making them particularly vulnerable to burnout. Nonetheless, there remains a high level of job satisfaction among emergency physicians, and further research is necessary to fully understand the intricate relationship between burnout and job satisfaction. Because burnout is linked to particular personality traits and particularly coping mechanisms, doctors who are at high risk of experiencing burnout should be recognized early on and appropriately consulted. In order to make progress toward the goal of effectively treating burnout syndrome in the future, more case-control studies pertaining to behavioural intervention and the promotion of healthy lifestyles are required.
The Interaction between Systemic Lupus Erythematosus and Cardiovascular Disease: Systematic Review
Authors: Osman Mirghani Hyder , Mansour M Alatawi Nasser , Turki Alenzi Mazin , Ahmed I Alghamdi Ibrahim , Waad Salmah J Alatwai  , Saleh M Alqarni Ghadi , Imad M Bahkali Razan , Suliaman E Alatawi Nada , Fraih N Alenezi Arwa , Rand Fahad M Albaridi  , Turki M Alhamrani Moaeed , Ali A Alshamrani Salman , Mansour F Althobiti Alaa
Published: October 2024

Patients diagnosed with systemic lupus erythematosus (SLE) face a much greater risk of morbidity and mortality from cardiovascular disease (CVD) when compared to the overall population. Despite numerous case reports and literature reviews delving into this connection, there are only a handful of systematic reviews that have specifically concentrated on this link. As a result, the objective of this systematic review is to assess the depth of the relationship between SLE and cardiovascular diseases. An extensive search was conducted primarily using PubMed and following PRISMA criteria. The search targeted English-language studies investigating the link between SLE and cardiovascular diseases. Clear inclusion and exclusion criteria were set to guarantee the quality and relevance of the evaluated research. The research encompassed a broad spectrum of studies from various global regions, with no particular emphasis on any specific gender or age. An evident trend revealed a significant proportion of SLE patients experiencing cardiovascular conditions. According to the findings of our investigation, in general, it was discovered that patients with SLE have a greater chance of developing CVD. It is essential to conduct additional research on the connection between identifiable SLE-specific risk factors that can be modified and the likelihood of developing CVD in order to bolster the creation of preventative and treatment measures.
Penanganan Kasus Perceraian Akibat Kekerasan Dalam Rumah Tangga di Pengadilan Agama Andoolo
Authors: Hasnawati  , Suriani Bt. Tolo  , St. Fatmawati. L  ,  Hijriani  , M. Yusuf  , La Ode Bariun
Published: October 2024

Penelitian ini membahas penanganan kasus perceraian akibat kekerasan dalam rumah tangga (KDRT) di Pengadilan Agama Andoolo, Kabupaten Konawe Selatan. Latar belakang penelitian ini adalah meningkatnya jumlah kasus perceraian dengan alasan KDRT dari tahun 2021 hingga 2023. Tujuan penelitian ini adalah untuk memahami keadaan perkara di Pengadilan Agama Andoolo serta metode penyelesaian yang digunakan oleh hakim dalam kasus perceraian yang disebabkan oleh KDRT. Penelitian ini menggunakan pendekatan yuridis empiris dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa meskipun pengadilan melakukan upaya perdamaian dan mediasi, sebagian besar kasus tetap berakhir pada putusan perceraian. Pengadilan Agama Andoolo mampu menyelesaikan seluruh perkara pada tingkat banding dan kasasi pada tahun 2023 tanpa sisa perkara. Faktor-faktor seperti ekonomi, perselingkuhan, dan mabuk akibat minuman keras merupakan penyebab utama KDRT yang mengarah pada perceraian. Hakim menggunakan pertimbangan hukum formil dan materil, namun pertimbangan terkait KDRT cenderung diarahkan pada alasan perselisihan terus-menerus karena sulitnya membuktikan KDRT secara spesifik di persidangan.
BCT Crowdfunding: Is It the Bridge of Trust Required for Funding EU’s SMEs?
Authors: Kallir Ido , Levinson Daniel
Published: October 2024

Small and medium-sized enterprises (SMEs) are the cornerstone of the European eDaconomy, representing 99.8% of all businesses and providing 66% of employment. Despite their critical role, SMEs face significant challenges in accessing traditional financing, particularly in the aftermath of the 2008 financial crisis, which led to a reduction in riskier lending by banks. Crowdfunding has emerged as a viable alternative, offering a decentralized and democratized avenue for raising capital, especially through platforms powered by blockchain technology.This paper explores the potential of blockchain technology (BCT) to revolutionize crowdfunding within the European Union (EU), addressing the critical financial needs of SMEs. BCT enhances transparency, trust, and efficiency in crowdfunding by enabling features such as tokenization, smart contracts, and decentralization. These innovations offer solutions to longstanding issues in traditional finance, such as fraud, information asymmetry, and the reliance on intermediaries.However, the paper also highlights the limitations and challenges of crowdfunding in Europe, particularly the disparities in crowdfunding trends between the UK, Nordic countries, and the rest of the EU. Financial data from 2018 and projections for 2023 reveal that while the number of crowdfunding campaigns in the EU is growing, the per-campaign value remains significantly lower compared to the UK, reflecting a continued focus on smaller-scale investments.The integration of BCT into crowdfunding practices presents both opportunities and obstacles. Although it offers a promising path to more efficient and secure funding mechanisms, the successful implementation of BCT will require coordinated efforts from governments, regulatory bodies, financial institutions, and technology developers to navigate the complex legal and technological landscape.In conclusion, while blockchain-based crowdfunding has the potential to reshape SME financing in Europe, realizing its full benefits will demand proactive engagement with emerging challenges and continuous adaptation to evolving regulatory frameworks.
Երևանյան լիճ հիդրոհանգույցի հիմնական կառուցվածքների տեխնիկական վիճակի վերլուծություններ
Authors: Սարուխանյան Արեստակ , Քելեջյան Հովհաննես , Սահակյան Արամ
Published: October 2024

Հոդվածում ներկայացված են Երևանյան լճի հիմնական կառուցվածքների տեխնիկական վիճակի հետազոտման արդյունքները, բացահայտված են կառուցվածքի ամրությանը և կայունու­թյանը սպառնացող վտանգները, տրված են դրանց չեզոքացման ինժեներական լուծումների անհրաժեշտությունը: Երևանյան լիճը կարևոր ենթակառուցվածք է, որն ապահովում է Երևան քաղաքի տրանսպորտային, ջրամատակարարման, կապի և այլ հաղորդակցության ինժենե­րա­կան հաղորդակցուղների համակցված աշխատանքը, բացի այդ այն հանդիսանում է յուրատեսակ էկոլոգիական միջավայրի ձևավորման կառույց: Հույժ կարևոր այս կառույցը պետք է ունենա շահագործման հուսալի պայմաններ, որի համար պարբերաբար այն պետք է ենթարկվի հետա­զոտության՝ բացահայտելու համար առկա կառուցվածքային փոփոխությունները: Ակնադի­տա­կան և գործիքային մեթոդներով հետազոտվել են Երևանյան լիճ հիդրոհանգույցի առանձին կառուցվածքների տեխնիկական վիճակը, բացահայտվել են կառուցվածքի կայունությանը սպառ­նացող ռիսկերը:
Association of Clinical Findings With Complications in the Cubitus Varus Deformity After Supracondylar Fracture
Authors: Oka Kunihiro , Shiode Ryoya , Iwahashi Toru , Kazui Arisa , Yamamoto Natsuki , Miyake Tasuku , Murase Tsuyoshi , Miyamura Satoshi , Tanaka Hiroyuki
Published: October 2024

Introduction:

Cubitus varus deformity is primarily a cosmetic complaint that causes some early and late complications. However, no studies have reported the cubitus varus deformity regarding the frequency of complications, relationship to the degree of deformity, and period from the occurrence of the initial injury.

Methods:

Overall, 83 patients with cubitus varus deformity were examined. The differences in the humerus-elbow-wrist angle (∆HEW-A), tilting angle (∆TA), and internal rotation angle (∆IRA) between the affected and normal sides were measured to determine varus and extension and internal rotation deformity. The period from the occurrence of the initial injury to the evaluation date was also investigated. Multivariate logistic regression analysis was conducted to identify the explanatory variables (period, ∆HEW-A, ∆TA, and ∆IRA) independently associated with complication events. Receiver-operating characteristic curve analysis was also conducted to predict the risk of events.

Results:

∆HEW-A was independently associated with the risk of cosmetic complaint (odds ratio [OR], 1.171; 95% confidence interval [95% CI], 1.056 to 1.336) and instability (OR, 1.111; 95% CI, 1.028 to 1.200). ∆TA was independently associated with the risk of limited elbow motion (OR, 1.176; 95% CI, 1.077 to 1.285) and sports disability (OR, 0.892; 95% CI, 0.836 to 0.952). The period from the occurrence of the initial injury was independently associated with risk of pain (OR, 1.063; 95% CI, 1.019 to 1.108), ulnar nerve neuropathy (OR, 1.065; 95% CI, 1.011 to 1.125), and osteoarthritis (OR, 1.188; 95% CI, 1.098 to 1.286). The receiver-operating characteristic curve analysis revealed the optimal cutoffs of 20° and 27° for ∆HEW-A to predict cosmetic complaint and instability; of 25° for ∆TA to predict limited elbow motion; and of 8.8, 8.0, and 16.0 years for the period to predict pain, ulnar nerve neuropathy, and osteoarthritis, respectively.

Discussion:

The treatment of cubitus varus deformity should be determined because a residual deformity >20° of varus and 25° of extension could develop risk of complications over time.
Способность к анализу информации у студентов российских вузов: эффект социально-демографических характеристик
Authors: Соболева Ольга , Степашкина Екатерина , Гужеля Дмитрий , Ваза Александра
Published: October 2024

Исследование посвящено взаимосвязи способности к анализу информации и социально-демографических характеристик: пола, специальности, типа вуза, курса обучения, региона, профильности вуза для специальности. Предыдущие исследования показали, что интеллектуальные способности могут быть связаны с этими параметрами, и настоящая работа уточняет характер этой связи для более узкой компетенции. В исследовании приняло участие 28 933 человека из 51 вуза. Получено, что компетенция анализа у юношей развита чуть сильнее, чем у девушек, однако девушки лучше анализируют вербальную информацию, а юноши — числовую. Профессиональная область также оказывает эффект: более успешны в анализе информации студенты медицинских специальностей и студенты-инженеры, менее успешны — студенты-педагоги. Лучше всего развит анализ информации у студентов медицинских вузов, хуже — у студентов аграрных вузов. Более высокий результат по компетенции показывают студенты вузов Северо-Западного федерального округа, более низкий — студенты вузов Северо-Кавказского федерального округа. Студенты из профильных для специальности вузов показывают более высокий результат, чем обучающиеся по тем же специальностям, но из непрофильного для специальности вуза. Обсуждаются возможные причины результатов и ограничения исследования.
Penerapan Karate dalam Sikap Disipilin dan Bertanggung Jawab Anak Sekolah Dasar
Authors: Zulfika Siti , Zumrotun Erna
Published: October 2024

This study aims to explore the application of karate martial arts to the development of discipline and responsibility in elementary school children. Using qualitative research methods, the study involved participant observation, in-depth interviews with teachers, karate coaches, and parents, and analysis of documentation related to the application of karate. The results showed that participation in regular karate training contributed positively to the improvement of students' discipline and sense of responsibility. The discipline taught through training in karate helps children understand the importance of rules and consistency. In addition, the responsibility instilled through the cultivation of attitudes demonstrated in karate training strengthens their ability to take responsibility for their own actions. The implications of these findings suggest that karate can be an effective tool in the character education of primary school children, with the potential to enhance life skills that are important for their future development.