bluuebunny/crossref_metadata_2025 huggingface dataset:
Agricultura de precisão como ferramenta estratégica na gestão e otimização de recursos em empresas agrícolas
Authors: Araújo Adolfo Vicente , Santos Jefferson Davi Ferreira dos , Silva Denize Mirian da , Matias Tiago Alquaz , Macedo Ricardo Marques
Published: October 2024

A agricultura de precisão tem se consolidado como uma inovação estratégica fundamental no setor agrícola, proporcionando aos gestores a capacidade de tomar decisões mais informadas, baseadas em dados precisos, o que resulta em maior eficiência operacional. Este estudo tem como objetivo investigar o impacto da adoção de sistemas de irrigação de precisão na gestão empresarial agrícola, com especial atenção à melhoria na tomada de decisão e na eficiência operacional das empresas localizadas em Paula Cândido, Minas Gerais. Foram utilizados métodos avançados de análise de imagens de satélite, processadas no software QGIS 2.8.9, em conjunto com dados de NDVI para monitorar e avaliar o desenvolvimento vegetativo de culturas de café. Foram analisados dois sistemas de irrigação: o pivô central e o gotejamento, ambos apresentando contribuições significativas para a otimização do uso de recursos hídricos. Além disso, entrevistas com gestores agrícolas reforçam que a adoção dessas tecnologias de precisão contribui diretamente para uma alocação mais eficiente de insumos e para a redução dos custos operacionais. Conclui-se que a agricultura de precisão não só aprimora a competitividade das empresas agrícolas, mas também promove práticas sustentáveis e a responsabilidade social corporativa.
Analyzing the Problems of Agricultural Futures Market in China
Authors: Ren Guanzeng
Published: October 2024

The agriculture is a fundamental sector for the development of society, and agricultural products play a key role in the economy. The equilibrium of agricultural product supply and demand is intimately linked to societal steadiness and the welfare of individuals. Consequently, the efficient functioning of the market for agricultural products is vital for economic growth. Agricultural product manufacturing and sales face multiple hazards, such as climatic change, natural disasters, market fluctuations, etc. Agricultural futures serve as a financial tool for the agricultural products market, providing essential hedging and risk management functions. The establishment and development of the agriculture futures market enables farmers and agricultural companies to hedge against agricultural product price fluctuations, reducing business operation risks. This promotes market stability and contributes to the healthy development of the economy. Additionally, investors can participate in the agricultural futures market to obtain investment income through price fluctuations. The agricultural futures market plays a significant role for farmers, agricultural companies, and investors. Therefore, researching and exploring this market is of great theoretical and practical importance and necessity.
Analysis of Japan's Real Estate Regulatory Policies and Their Effects
Authors: Yin Ziyue
Published: October 2024

The development of real estate is closely related to China's national economy, and in recent years, China's real estate industry has experienced rapid development and change. With the continuous expansion of the industry's development scale and the increasingly complex market environment, the real estate industry is also facing a series of challenges and problems. Japan also faced the bursting of its real estate bubble in the 1990s. Reviewing the history of the bursting of the real estate bubble in Japan in the 1990s has important research and mirror value for us to clarify the formation and bursting of real estate risks and how to implement appropriate policies. This study analyzes the negative and positive impacts of policies implemented before the bursting of the real estate bubble, and the policies introduced by the Japanese government to address the bursting of the real estate bubble. Based on the results of the analysis of Japan real estate, suggestions are made on the idea of regulating China's real estate industry, the means of regulation and the rhythm of regulation.
Analysis of Existing Problems in Chinese A-share Market and Relevant Solutions
Authors: Lu Hongbo
Published: October 2024

China's A-shares have developed rapidly in recent years, with huge market volume and scale, and have become an important direction for corporate financing and mass investment. There are still many problems in the A-share market, which will affect the development of the A-share market. There is a problem of slow delisting in the A-share market, which will lead to bad enterprises not being cleared in time, and the frequency of market update is not enough, which needs to be alleviated by further improving the legal system and changing policies. Some sectors of the A-share market have the problem of downward market, resulting in financing difficulties for companies in these sectors and unable to develop normally. This problem can be fixed by increasing the proportion of companies that pay dividends to attract investors. Listed companies in the A-share market may also have goodwill problems, which will seriously affect investor confidence and reduce the amount of investment. It is necessary to improve the goodwill accounting policy, so that goodwill can be correctly measured and reflected. Finally, A-share market funds have the problem of homogeneity, which leads to vicious competition in a single sector and is unfriendly to small and medium-sized enterprises. The government can mitigate such problems by encouraging innovation and regulating the market, diversifying stock development. It is necessary to study the problems of the A-share market and give solutions of the existing problems, which can make the country, enterprises and investors have a more intuitive understanding of the market so they can make corresponding responses to market changes.
Research on the Impact of China's Internet Financial Development on the Traditional Financial Industry
Authors: Li Chengyang
Published: October 2024

With the development of Internet technology, Internet finance was born. Internet finance has appeared in people's sight in a new business form, which has brought significant changes to people's lives. People no longer need to go to the banks or other financial institutions' operations to handle business in a tedious way. However, at the same time, the high efficiency and convenience brought by Internet finance has also had a certain impact on the traditional financial industry. This paper will explore this issue in depth with previous studies, especially in the Chinese market where the Internet penetration rate is high. The paper defines Internet finance and its characteristics, emphasizes its convenience, low operating costs and easy accessibility, and deeply analyzes the connection between Internet finance and traditional finance, and at the end of the paper, it puts forward some policies to deal with the problems faced by traditional finance. This paper points out that Internet finance and traditional finance are interdependent, and the growth of Internet finance is realized based on traditional finance. The emergence of Internet finance has challenged and transformed traditional financial services, prompting them to undergo a digital transformation to meet the evolving needs and expectations of consumers. This study comprehensively examines these dynamics and the continued evolution of financial services in the era of Internet finance.
Research on the Impact of ESG Performance on the Export of Listed Companies
Authors: Gu Linghui
Published: October 2024

The ESG concept is highly compatible with China's new development concept, but there is no definitive conclusion on whether ESG performance has a positive impact on a company's exports. This article uses A-share listed companies in Shanghai and Shenzhen from 2015 to 2022 as research samples to empirically examine the impact of ESG performance on corporate exports. Research has found that a company's good ESG performance has a significant positive impact on exports. The better the company's ESG performance, the larger its export scale. This article has certain enlightening significance for enterprises and investors to attach importance to ESG performance, and for government departments to improve ESG information disclosure systems.
Machine Learning-Based Models for Accurate Car Prices Prediction
Authors: Li Chenguang
Published: October 2024

The used car market is becoming more and more popular in various countries, but some car trading platforms have inaccuracies in predicting prices. So, it is necessary to select machine learning models with high accuracy to predict used car prices for both buyers and sellers. This study selected three factors that have the greatest impact on used car prices, which are: car name, car use year, and car use mileage. In the selection of dataset, this study chooses more than 2000 data from four brands of BMW, Volkswagen, Acura, and Tesla which are very popular in the market to predict. In the part of comparing the accuracy of machine learning models, this paper uses three machine learning models: linear regression, decision tree regressor and random forest regressor. Based on criteria such as root-mean-square error and R-variance, with K-Fold cross validation method to compare the advantages and disadvantages of every model. Through the analysis, all the test criteria consistently show that random forest regressor has the highest performance and can achieve an R-square value of 0.8562. After getting the suitable model, accurate price prediction will be realized in more car trading platforms to help buyers and sellers to understand the real price of used cars.
Optimal Portfolio Strategies in Chinese Equity Market
Authors: Zou Zhenrong
Published: October 2024

In the dynamic landscape of financial markets, the strategic construction of investment portfolios is pivotal for investors aiming to maximize returns while managing risk. This research delves into the optimization of portfolios by focusing on two key objectives: maximizing the Sharpe ratio and minimizing volatility. Through the analysis of seven representative Chinese stocks, this study introduces a forward-looking approach to portfolio construction that adapts to current market conditions. By employing a comprehensive set of descriptive statistics and a rigorous out-of-sample testing methodology, the research constructs and validates two distinct portfolios against the CSI 300 Index. The findings reveal a nuanced understanding of risk-adjusted returns and provide actionable insights for investors seeking to refine their portfolio strategies. This paper contributes to the financial management literature by offering a practical framework that addresses existing gaps and highlights the importance of incorporating market dynamics into portfolio optimization. The study's robust methodology and its application to a diverse set of stocks provide a solid foundation for future research to build upon, with the potential to enhance investment performance across varying market cycles.
A Study on the Impact of European Countries' Digital Economy Development on China's Export of Communication Equipment into Europe
Authors: Li Yantong , Li Lingzhi
Published: October 2024

On the basis of combing relevant literature, this paper collects policy and data information, analyzes the status of European digital economy development and the development process and export status of China's communication equipment, this paper finds two theoretical explanation mechanisms combining product life cycle theory and consumer demand theory, which proves the correlation between the development of European digital economy and the export of Chinese communication equipment to Europe.
The Impact of Environmental, Social, and Governance Disclosure Quality on Stock Price Volatility in Heavily Polluted Industries - Based on Chinese Listed Companies
Authors: Hu Haiyu
Published: October 2024

Facing natural disasters caused by the destruction of ecosystems, the world is paying increasing attention to the protection of ecosystems. Meanwhile, investors are particularly concerned about enterprises' environmental, social, and governance (ESG) performance, which is considered to be crucial to long-term development and value improvement. Currently, access to ESG information relies mainly on proactive disclosure by companies. Although China attaches great importance to corporate ESG disclosure, the quality of many companies' ESG disclosures remains poor, especially in heavily polluted industries. As China’s financial market matures, more and more investors may utilize stock price volatility to assess investment risk and then make investment decisions. Therefore, this paper aims to examine the impact of ESG disclosure quality on stock price volatility in heavily polluted industries. Taking listed companies in China's heavily polluted industries as the research object, this paper explores the impact of ESG disclosure quality on stock price volatility in heavily polluted industries by building a two-way fixed-effects regression model. This paper chooses Bloomberg Data Terminal's scores on ESG disclosure quality of companies and takes 2012 to 2020 as the research interval. Ultimately, this paper launches the study based on 693 data from 77 sample companies. After regression analysis and robustness test, the following conclusion is drawn: ESG disclosure quality and stock price volatility of heavily polluted companies show a positive correlation.
Study on the Motivation of Corporate Financial Fraud Based on Fraud Risk Factor Theory based on the Acquisition of Longxin Technology by Connie E&M
Authors: Lin Wenchao
Published: October 2024

Financial fraud has always threatened the healthy development of the capital market. Financial malpractice in M&A can cause huge losses to the acquirer and even face the risk of delisting, jeopardizing the legitimate rights and interests of enterprise investors and creditors. Mergers and acquisitions as one of the important forms of enterprise development and expansion, and enterprises as an important pillar of economic growth are of great significance to the stable development of the capital market. The correct M&A of enterprises can form a synergistic effect and improve the competitiveness of enterprises in the fierce market competition. This paper, with the help of fraud risk factor theory, explores the causes of corporate financial fraud in mergers and acquisitions, how to establish an effective preventive mechanism for financial fraud in mergers and acquisitions, and how to reduce the current capital market to minimize corporate financial fraud and reduce its impact and other issues to put forward proposals.
Survivals of Titanic Prediction Utilizing Tree-based Machine Learning Models
Authors: Zhao Tianyi
Published: October 2024

The shipwreck of Titanic is a well-known tragedy. Although it happened more than a century ago, researchers are still investigating the patterns of the survivors to gain more insight into human behaviors in catastrophes. This paper adopts machine learning techniques, including decision tree, random forest, and gradient boosting, to conduct a binary classification to predict whether a person survived. The selected models are all tree-based, making it convenient to examine the importance of features. In the preprocessing stage, all numerical features are discretized. This paper first investigates the performances of the models. Subsequently, the model with the best performance generates and studies the importance of the feature. The result demonstrates that the decision tree classifier with a max depth equal to seven achieves the highest accuracy of 0.78. The results of the three models are similar, indicating that the research is robust. The feature importance generated by the decision tree classifier shows that sex and social status significantly impact the survival result. In addition, whether the person is a child also makes a difference. The discretized features do not have enough influence on the result of survival. This paper concludes that the tunned decision tree classifier is the best model to study the features in this paper, but the created features are not effective enough.
Research on Risk Management of Equity Pledge in Listed Companies: A Case Study of Guirenniao
Authors: Cai Tingjun
Published: October 2024

In the present financial market, the financial needs of listed companies are expanding rapidly. Equity pledge, as a commonly used means of financing for listed companies, is becoming increasingly significant. As an emerging form of guarantee, equity pledge allows listed companies to pledge their own equity as collateral to obtain financing from external financial institutions. Equity pledge has many advantages, such as universality, fast financing speed, strong security, and effective risk diversification. However, equity pledge not only meets the financing needs of listed companies, but also brings corresponding risks to them. this paper selects the classic case of Guirenniao Co., Ltd. as the research object and adopts the literature analysis method to review relevant research on equity pledge both domestically and internationally. Based on the leverage cycle theory, PBC (Private Benefits of Control) theory, and asymmetric information theory, the article analyzes the risks associated with equity pledge and identifies excessive pledge by Guirenniao as an important factor contributing to the failure of company operation. Finally, based on the research findings, risk response measures are proposed from the main aspects of external information disclosure, internal supervision and control, enhancement of enterprise value, and dynamic monitoring of business operations. It aims to raise awareness among other listed companies and their stakeholders, prevent risks, effectively supervise the equity pledge behavior of listed companies, and ensure the sustainable development of equity pledge.
Theory and Practice of Quantitative Investment Strategies
Authors: Xiang Chengye
Published: October 2024

This paper provides an overview of the theory and practice of quantitative investment strategies, beginning with the definition of quantitative investment, its history of development, and its importance in financial markets. It then delves into the theoretical foundations of quantitative investment, including financial market theory, the application of mathematical and statistical methods, and the theory of risk management and portfolio optimisation. Common quantitative investment strategies, such as spread trading, momentum strategy, mean reversion strategy, etc., are then detailed, as well as the design, implementation process and practical application of these strategies. Examples of successful and failed strategies are further analysed, as well as the challenges and problems faced, such as data quality, model overfitting, and market changes. Finally, future trends in quantitative investing are looked at, including the application of artificial intelligence and big data, advances in algorithmic trading, changes in the regulatory environment, and the impact of sustainable investing and ESG factors. This paper aims to provide investors, researchers and market regulators with a comprehensive understanding and outlook of quantitative investing.
Analyzing Stock Price Prediction Models: A Comparative Study of Linear Regression and Decision Trees During the COVID-19 Pandemic
Authors: Yin Caiyuan
Published: October 2024

Stock market forecasting plays a vital role in financial decision making. In a volatile and uncertain situation like the COVID-19 pandemic, it is important for us to compare the accuracy of different models for forecasting. This study compares the performance of the Linear Regression (LR) algorithm and the Decision Tree (DT) algorithm in predicting the stock price of Pfizer Inc. before and during a pandemic. The study evaluates the accuracy and stability of the predictions using datasets before and during the pandemic. The results show that the prediction accuracy of LR is better than that of DT in both cases, although both accuracies decrease during the pandemic. The results of the study emphasize the need to consider external factors in the selection of forecasting models and suggest some lessons for future research, leading to the selection of more stable and accurate models under turbulent market conditions. It is worth noting that overfitting occurs when a model learns to capture noise in the data rather than the underlying patterns, leading to reduced generalization performance on unseen data. Future research should address this by exploring techniques such as regularization or cross-validation to mitigate overfitting and enhance the robustness of predictive models in dynamic market environments.
The Impact of Private Equity on Corporate Innovation
Authors: Chen Haonan , Liang Keming
Published: October 2024

Private equity plays a crucial role in today's economic environment and has a profound impact on corporate innovation. This study aims to explore in depth how private equity investment affects corporate innovation and to reveal the mechanisms behind this impact. By constructing a linear regression model, the study finds that private equity investment has a positive effect on firms' R&D investment and patent output, thus proving that private equity investment promotes corporate innovation. The empirical evidence in this paper reveals the investment logic of private equity investment, provides an analysis of the process of the role of private equity investment in influencing corporate innovation performance, and enriches the research on the factors affecting corporate innovation performance. The findings of this paper are of practical significance in guiding private equity investment to enhance corporate innovation.
Research on the Motivation and Effect of Corporate Spin-Offs and Listings Based on Hai Di Lao's Spin-off of Super Hi
Authors: Chen Yuanzhuo , Yang Yunong
Published: October 2024

With the continuous development of the capital market, some listed companies select the spin-off listing method, diving some of their businesses into relatively independent subsidiaries and going public, aiming to better meet the development strategies of companies and the needs of the capital market. This paper aims to analyze the motivation and economic benefits of listed companies choosing a spin-off listing, in order to consider the conditions and significance of spin-off listing and provide reference suggestions for enterprises in the capital market and relevant government departments. This article takes Hai Di Lao splitting Super Hi as an example to study the motives behind the split and analyzes the economic benefits that the split brings to both the parent firm and subsidiary. Spin-off listing is an important measure for enterprises in the capital market. Finally, the paper provides reference suggestions for other firms in need in the capital market to choose spin-off listing cautiously and for the China Securities Regulatory Commission to regulate the behavior of spin-off listing.
Redevelopment of Underutilized Land in Cities Based on the Perspective of Relevant Stakeholders
Authors: Li Changcheng
Published: October 2024

As urbanization continues to advance, the issue of redevelopment of low utility land in cities has gradually become the focus of widespread attention. The existence of low utility land leads to irrational allocation of urban resources, low land utilization efficiency, and brings challenges to sustainable urban development. This paper comprehensively analyzes the main causes of low utility land in cities and analyzes them from the perspectives of stakeholders at different levels, and at the same time, it proposes a series of solutions tailored to the local conditions by comparing the problems in urban redevelopment in Guangzhou and London, because different cities have different policies, laws or development pattern which may infect the management of low utility land differently. Meanwhile, this paper also explores the solution to the problem of inefficient land use through effective urban planning, policy adjustment and cooperation among stakeholders to promote sustainable urban development. Finally, this paper gives some problems and challenges that need further attention in the future.
Impact of Registration System Reform on the Quality of Public Companies in China
Authors: Shang Qianzhi
Published: October 2024

As the reform of the registration system continues to advance, it's been a year since China fully implemented its Registration System Reforms. Whether the registration system reform has promoted the high-quality development of China's public companies has become a hot concern. This article systematically analyzes the impact of the registration system reform on the quality of public companies. It is divided into two parts: the impact on the quality of corporate governance and the quality of company operations. Additionally, it examines the impact of the registration system reform on the quality of information disclosure and accounting information. It also considers the positive and negative impacts on company finances and their ability to innovate. The article starts from the impact of the registration system reform on the quality of public companies, and targets the relevant recommendations of the registration system reform, to promote the high-quality development of the capital market and deepen the registration system reform.
Analysis the M&A in Wearable Market: Evidence from Google purchase Fitbit
Authors: Ma Junzhe
Published: October 2024

With the continuous progress of science and technology and the improvement of people's living standards, the wearable device market is gradually rising. These devices can be equipped with various sensors and have functions such as monitoring human health and statistical movement data, which have attracted the attention and favor of consumers. The content of this paper is a case analysis of Google's acquisition of Fitbit, which is mainly analyzed by comparing the financial data of the two companies before and after the acquisition. According to the evaluations, it is found that the acquisition is a success for both companies. For Google, operating income, net profit and total asset scale have increased significantly, which has a positive impact on the company, making the company's assets belong to an upward trend. For Fitbit, the acquisition has gradually reduced its loss and made its total assets more stable, with good development potential in the future.
NURSING KNOWLEDGE AND PRACTICE REGARDING THE PREVENTION OF PRESSURE ULCER
Authors: AIMAN UE , SADDIQUE H , JABEEN R
Published: October 2024

Pressure ulcers are a significant concern in healthcare settings, particularly patients with limited mobility. Nurses play a critical role in preventing pressure ulcers through early identification and intervention. However, the effectiveness of preventive measures largely depends on nurses' knowledge and practices regarding pressure ulcer prevention. Objective: This study aimed to assess the knowledge and practices of nurses working in tertiary care hospitals in Pakistan regarding the prevention of pressure ulcers. Methods: A descriptive cross-sectional study was conducted among 129 nurses at Jinnah Hospital, Lahore. Data were collected using a structured questionnaire that included demographic variables, knowledge, and practice sections related to pressure ulcer prevention. Descriptive statistics were used to summarise the data, and inferential statistics were applied to analyse the associations between knowledge, practices, and demographic variables. Results: Most participants were female (86.8%) and between the ages of 26 and 30 (55.0%). Most nurses had 1-3 years of experience (79.8%), and 38% held a Bachelor of Science in Nursing. While 62.8% of the nurses correctly identified that pressure ulcers result from unrelieved pressure for more than three hours, only 42.6% consistently used a risk assessment scale for pressure ulcer prevention. Significant gaps in knowledge and practice were observed, particularly regarding implementing prevention strategies. Conclusion: The findings indicate that while nurses in tertiary care hospitals in Pakistan have a basic understanding of pressure ulcer prevention, there is a need for continuous education and training programs to improve their practical application of preventive measures. Targeted interventions, particularly in high-risk departments such as medical and ICU units, could significantly reduce the incidence of pressure ulcers in hospitalised patients.
SCREENING OF COTTON (GOSSYPIUM HIRSUTUM L.) GERMPLASM AGAINST COTTON LEAF CURL VIRUS (CLCUV)
Authors: NASEER S , KHALID K , MARYAM B , BHATTI AM , MANAN A , FAISAL M , SHERAZ M , IQBAL J , AMEEN M , JAVED MHB
Published: October 2024

Cotton Leaf Curl Virus (CLCuV) is a devastating disease affecting cotton production worldwide, particularly in South Asia and Africa transmitted by the whitefly (Bemisia tabaci). CLCuV infection leads to severe symptoms, including leaf curling, vein thickening, stunted growth, and significant yield losses. Developing resistant cotton varieties is the most suitable strategy for managing CLCuV, given the limitations and environmental concerns associated with chemical controls. This study aimed to evaluate the resistance and susceptibility of different cotton varieties to CLCuV under natural field conditions and artificially infected condition using a disease severity scale ranging from 0 (highly resistant) to 5 (susceptible). A total of five cotton varieties, were assessed at three critical growth stages: vegetative, flowering, and boll formation. Disease severity, and yield components were recorded to determine extent of resistance of each variety. The results indicated that genotypes and treatments had significant variation in control compared to T1. According to DSI, NIAB-852 was scored as resistant with 10% infected leaves. FH-142 and CIM-496 were scored as tolerant according to DSI with 10-25% infection in leaves. NIAB Karishma and CIM-448 were scored as moderately susceptible with 50-75% infection. All genotypes had significant reduction in number of bolls, boll weight and seed cotton yield in T1 than control. These findings provide valuable insights into the effectiveness of existing cotton germplasm against CLCuV and highlight the need for continuous evaluation and development of resistant varieties. The study highlights the importance of generating resistant cultivars, thereby ensuring sustainable cotton production.
Особенности российской политики предупреждения преступности
Authors: Староверова О.В.
Published: October 2024

Статья посвящена особенностям российской политики предупреждения преступности; в ней затрагиваются вопросы результативности практики, получившей название «ситуативное предупреждение преступлений» («ситуативная криминология»). В статье рассматривается российская концепция профилактической политики – комплекс основополагающих стратегических и тактических идей, отвечающих реалиям сегодняшнего дня и перспективам развития криминологической ситуации в стране, в частности структура системы предупреждения преступности.

The article is devoted to the peculiarities of the Russian crime prevention policy; it addresses the issues of the effectiveness of the practice, called “situational crime prevention” (“situational criminology”). The article examines the Russian concept of preventive policy – a set of fundamental strategic and tactical ideas that meet the realities of today and the prospects for the development of the criminological situation in the country, in particular the structure of the crime prevention system.
Участие главных внештатных специалистов органов здравоохранения в расследовании ненадлежащего оказания медицинской помощи
Authors: Шепелев С.В.
Published: October 2024

В статье автор продолжает ранее начатые исследования на тему взаимодействия следователя со сведущими лицами в ходе расследования преступлений, связанных с ненадлежащим оказанием медицинской помощи. В предыдущих публикациях им предложены четыре категории сведущих лиц, которые могут привлекаться следователями Следственного комитета Российской Федерации к расследованию ненадлежащего оказания медицинской помощи. В настоящей статье предложена пятая категория субъектов взаимодействия – главные внештатные специалисты органов здравоохранения. Автором показана эффективность привлечения таких сведущих лиц, в том числе на примере расследования конкретного уголовного дела. Главные внештатные специалисты, осуществляющие практическую деятельность, в типичных следственных ситуациях расследования преступлений, связанных с ненадлежащим оказанием медицинской помощи, могут быть привлечены следователем для решения таких задач, как определение объема медицинской документации, достаточного для производства судебно-медицинской экспертизы; осмотр медицинской документации; допрос (получение объяснений) у лиц, обладающих значимой для следствия информацией; назначение судебно-медицинской экспертизы, оценка и использование ее результатов; профилактическая деятельность.

In the article, the author continues previously initiated research on the interaction of the investigator with knowledgeable persons during the investigation of crimes related to improper medical care. In previous publications, he proposed four categories of knowledgeable persons who may be involved by investigators of the Investigative Committee of the Russian Federation in the investigation of improper provision of medical care. This article proposes a fifth category of subjects of interaction – the main freelance specialists of health authorities. The author shows the effectiveness of attracting such knowledgeable persons, including through the example of the investigation of a specific criminal case. The main freelance specialists carrying out practical activities, in typical investigative situations of investigating crimes related to improper provision of medical care, can be involved by the investigator to solve such tasks as determining the volume of medical documentation sufficient to carry out a forensic medical examination; review of medical records; interrogation (obtaining explanations) from persons who have information relevant to the investigation; appointment of a forensic medical examination, evaluation and use of its results; preventive activities.
Взаимодействие Следственного комитета Российской Федерации с Федеральной службой по финансовому мониторингу
Authors: Лебедева А.А. , Пономарева Н.С.
Published: October 2024

Статья посвящена особенностям взаимодействия Следственного комитета Российской Федерации и Росфинмониторинга при расследовании отдельных видов преступлений. В статье обозначены направления взаимодействия СК России с Росфинмониторингом. Раскрывается организация информационного обмена в рамках расследования преступлений коррупционной направленности и преступлений на финансовом рынке. Обращается внимание на выявление и документирование возможных фактов легализации преступных доходов в материалах проверок по преступлениям экономической и коррупционной направленности; принятие комплекса мер, направленных на установление имущества, подлежащего аресту, в целях обеспечения взыскания доходов, полученных преступным путем, возмещения причинённого преступлениями ущерба, взимания штрафа или возможной конфискации; направление запросов на предоставление информации о сомнительных операциях в рамках расследования преступлений экономической и коррупционной направленности. Рассматриваются вопросы сотрудничества в форме межведомственных рабочих групп, участия сотрудников следственных органов СК России в совместных заседаниях, семинарах по повышению уровня информационного взаимодействия. В статье приводятся материалы следственной практики СК России и судебной статистики. Затрагиваются технические аспекты взаимодействия СК России с Росфинмониторингом.

The article is devoted to the peculiarities of interaction between the Investigative Committee of the Russian Federation and Rosfinmonitoring in the investigation of certain types of crimes. The article outlines the areas of interaction between the IC of Russia and Rosfinmonitoring. The organization of information exchange in the framework of the investigation of corruption-related crimes and crimes in the financial market is revealed. The authors draw attention to the identification and documentation of possible facts of money laundering in the materials of inspections on economic and corruption-related crimes; the adoption of a set of measures aimed at establishing the property to be seized in order to ensure the recovery of proceeds from crime, compensation for damage caused by crimes, levying a fine or possible confiscation; sending requests for information on questionable operations within the framework of the investigation of crimes of economic and corruption orientation. The issues of cooperation in the form of interdepartmental working groups, participation of employees of investigative bodies of the Russian Federation in joint meetings, seminars on improving the level of information interaction are considered. The article presents the materials of the investigative practice of the IC of Russia and judicial statistics, and touches on the technical aspects of the interaction of the IC of Russia with Rosfinmonitoring.
Общественная опасность как критерий обусловленности уголовно-правового противодействия преступлениям с признаками экстремистской деятельности при обеспечении основ конституционного строя и безопасности государства
Authors: Ахметшин А.С.
Published: October 2024

В статье рассматривается признак общественной опасности как наиболее значимый критерий обусловленности уголовно-правового противодействия преступлениям с признаками экстремистской деятельности при обеспечении основ конституционного строя и безопасности государства. Раскрыто доктринальное и интерпретационное содержание рассматриваемого признака. Продемонстрировано содержание общественной опасности экстремизма на примере максимальных размеров наказаний за совершение преступлений, входящих в авторскую классификацию, основанную на положениях Федерального закона «О противодействии экстремистской деятельности» и примечания 1 к ст. 205.1, примечания 2 к ст. 205.2, диспозиции и примечания ст. 205.3, диспозиции ч. 1 ст. 205.4 и 205.6 УК РФ. Отмечено, что максимальное количество исследованных деяний отнесено к категории тяжких и особо тяжких преступлений. Подчеркнуто, что неотъемлемыми элементами обусловленности уголовно-правового противодействия преступлениям с признаками экстремистской деятельности при обеспечении основ конституционного строя и безопасности государства выступают экономия репрессии; распространенность деяний; конституционно-юридические основы противодействия; международно-правовые предписания; государственно-стратегическое планирование в области противодействия экстремизму.

The article examines the sign of public danger as the most significant criterion for the conditionality of criminal legal counteraction to crimes with signs of extremist activity while ensuring the foundations of the constitutional order and state security. The doctrinal and interpretive content of the feature under consideration is revealed. The content of the public danger of extremism is demonstrated by the example of the maximum penalties for committing crimes included in the author’s classification, based on the provisions of the Federal Law “On Combating Extremist Activities” and Note 1 to Art. 205.1 Note 2 to Art. 205.2, disposition and note of Art. 205.3, disposition of Part 1 of Art. 205.4 and 205.6 of the Criminal Code of the Russian Federation. It is noted that the maximum number of acts studied are classified as grave and especially grave crimes. It is emphasized that the economy of repression; the prevalence of acts; constitutional and legal bases of counteraction; international legal regulations; state strategic planning in the field of countering extremism are integral elements of the conditionality of criminal legal counteraction to crimes with signs of extremist activity while ensuring the foundations of the constitutional order and security of the state.
Организация взаимодействия правоохранительных органов при выявлении, раскрытии, расследовании и предупреждении преступлений, совершаемых с использованием средств массовой информации и информационно-телекоммуникационных сетей
Authors: Николаева А.Н.
Published: October 2024

В рамках настоящей научной статьи рассматриваются вопросы взаимодействия правоохранительных органов при выявлении, раскрытии, расследовании и предупреждении преступлений, совершаемых с использованием средств массовой информации и информационно-телекоммуникационных сетей. Предпринята попытка анализа отдельных проблем, возникающих при осуществлении указанной деятельности, а также организации расследования. Отмечается важное значение взаимодействия как правоохранительных органов, так и органов публичной власти, организаций и институтов гражданского общества, а также необходимость всестороннего познания механизма преступления всеми субъектами взаимодействия. Аргументируется необходимость нормативно-правового регулирования данного вопроса и выработки рекомендаций для сотрудников правоохранительных органов при осуществлении указанной деятельности. Результатом исследования выступает обоснование ряда положений и выводов о теоретической и практической значимости эффективной организации исследуемой деятельности и зависимости результативности данной деятельности от оперативного взаимодействия служб правоохранительных органов в процессе расследования и мер, которые должны быть разработаны и осуществлены для решения задач по борьбе с указанными преступлениями.

The article examines the issues of interaction between law enforcement agencies in the identification, disclosure, investigation and prevention of crimes committed using mass media and information and telecommunication networks. An attempt has been made to analyze individual problems that arise in the implementation of these activities, as well as the organization of an investigation. The importance of interaction between both law enforcement agencies and public authorities, organizations and institutions of civil society, as well as the need for comprehensive knowledge of the mechanism of crime by all subjects of interaction is noted. The necessity of normative regulation of this issue and the development of recommendations for law enforcement officers in the implementation of these activities is argued. The result of the study is the substantiation of a number of provisions and conclusions about the theoretical and practical significance of the effective organization of the activity under study and the dependence of the effectiveness of this activity on the operational interaction of law enforcement agencies in the investigation process and measures that must be developed and implemented to solve the tasks of combating these crimes.
A facial and vocal emotion recognition system based on deep learning
Authors: Gu Aiden
Published: October 2024

The traditional teaching mode, mainly characterized by "cramming" instruction, often overlooks the absorption of knowledge by students during the teaching process. Even in recent years, the emerging "flipped classroom" model heavily relies on teachers' experience and expertise, making it challenging to quantify students' classroom learning states. Among young teachers lacking teaching experience, the replication of excellent teaching models faces difficulties. With the rapid development of artificial intelligence technology, deep learning and other AI techniques are increasingly applied to people's lives. Additionally, emotion computing technology is also becoming more sophisticated. In the field of education, the use of AI technology holds the potential to help teachers systematically and comprehensively assess teaching quality, promoting the sharing of high-quality educational resources nationally and globally. Existing emotion detection technologies often focus on single techniques such as image recognition or natural language processing, resulting in low accuracy in discerning human emotions and making it difficult to accurately identify emotional changes in complex scenarios such as classrooms. Furthermore, there is a lack of comprehensive emotional statistical analysis methods for audio and visual data. In light of these, we have designed and implemented a multi-modal emotion recognition and analysis system. Through testing in classroom settings, this system has the potential to assist classroom teaching and enhance teaching quality.
Research on fiber OTDR signal recognition and classification based on the ViT model
Authors: Zhang Qinhua
Published: October 2024

In the field of event recognition for phase-sensitive optical time-domain reflectometry (-OTDR), convolutional neural networks (CNNs) have been the mainstream tool. However, Transformer models, with their self-attention mechanism, have provided a new perspective for image recognition tasks. This paper proposes a -OTDR event recognition method based on the Transformer model and experimentally demonstrates its significant advantages over CNNs. The method utilizes an attention-based feature extraction approach to recognize distributed fiber optic sensing signals in a phase-sensitive optical time-domain reflectometer (-OTDR). In perimeter defense applications, various interferences and noise severely affect the recognition of -OTDR sensing signals, leading to false alarms, making accurate signal recognition both challenging and necessary. Extracting signal features and using machine learning classification models to recognize signals has been a research hotspot in recent years. The effectiveness of feature extraction is crucial to classification performance. This project introduces a temporal-spatial dual attention mechanism into the feature extraction of fiber optic sensing signals to improve the accuracy and robustness of signal recognition.
Ava Poraquê
Authors: Monteles Daniele , Zenha Leonardo
Published: October 2024

Discutir o fenômeno da plataformização da educação no Brasil, evidenciado nos anos de 2020 e 2021, em razão das importantes mudanças e desafios na área da educação em todo o mundo devido à pandemia do COVID-19 é o plano de fundo do presente artigo para explicar a opção de uma escola pública da Amazônia paraense em hospedar um ambiente virtual de aprendizagem em um software livre como um importante exercício de contra hegemonia aos softwares proprietários. Para tanto, destacamos o debate em torno do Capitalismo de Vigilância (Zuboff, 2021), do Colonialismo de Dados (Silveira; Souza; Cassino, 2021) e dos Softwares Livres (Silveira, 2004) para subsidiar a construção de um modelo alternativo às plataformas privadas que dialogue com a realidade amazônica. Trata-se de um estudo de cunho qualitativo, exploratório e teórico-reflexivo, desenvolvido no intento de proporcionar pistas para investigações futuras mais amplas sobre a temática em questão. Por fim, apresentamos como resultado alguns desafios e limites para o uso desses recursos alternativos encontrados no percurso formativo da pesquisa.