bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Emperor Nicholas I in the Reunification of the Uniates in 1839
Authors: Khoteev A. S.
Published: May 2024

The article focuses on clarifying the role of Emperor Nicholas I in the reunification of the Belarusian Uniates. This framing of the issue represents one aspect of examining the influence of the state in this process. It is emphasized that evaluating the significance of the imperial factor must be done in conjunction with assessing the role of Bishop Joseph (Semashko), who was the leader in the initiated case. The article analyses data concerning the religious attitudes of the future emperor and the extent of his familiarity with the particulars of the Belarusian-Lithuanian provinces. It is elucidated that upon ascending the throne, Nicholas I was inclined to continue the policies of his predecessor regarding the Uniates. However, he also demonstrated a tendency to act more decisively, safeguarding them from being transferred to the Latin rite. Additionally, the new Tsar was distrustful of the Poles and their aspirations for a special state status of Poland within the Russian Empire. Beginning with the memorandum of 1827 received from Joseph Semashko, the representative of the Uniate department of the Roman Catholic Ecclesiastical Collegium, outlining measures to transform the Uniate church for its return to the Russian Orthodox Church, Emperor Nicholas I recognized the significance of the plan and approved its implementation. However, the latter was executed with hesitations and delays, partly due to the involvement of other individuals such as state dignitaries and the Orthodox episcopate. Not all of them comprehended and placed trust in Semashko’s plans. For this reason, the Right Reverend Joseph had to persevere on multiple occasions and seek the support of the Emperor. As a result of the preparation for reunification, a request and a conciliar petition addressed to the Tsar were prepared. The Russian monarch accepted both proposals but deferred them to the Holy Synod, which held all the canonical powers necessary to admit Uniates into Eucharistic communion. Accordingly, Emperor Nicholas I fulfilled the role of patron and mediator in resolving the Uniate issue.
Secret Committees on Uniate Affairs and Their Role in the Abolition of the Union
Authors: Shestitko V. V.
Published: May 2024

The article focuses on the activities of the secret committees during the reign of Nicholas I, which were specifically established to address issues related to the reunification of Uniates in the western provinces of the Russian Empire during the first half of the 19th century. In the majority of studies on the history of reunification, the activities of the secret committees are typically discussed only in broad terms. Frequently, the question of their role in the reunification process remains unresolved. This ambiguity enables historians and publicists to interpret the activities of the committees according to their religious, national, or ideological perspectives. Hence, Catholic historians tend to highlight the mere existence of such committees as evidence of the forced annexation of the Uniates. They often portray the committees as sinister and mysterious agency of the Russian government. This perspective can be attributed to the bitterness of defeat for Catholicism in the events of 1839, but it lacks fairness from a historical standpoint. The article explores the emergence of secret committees during the reign of Nicholas I, focusing specifically on the secret committees dedicated to Uniate affairs.   In the historiography of reunification, there is a prevailing opinion that there existed a singular secret committee on Uniate affairs, whose activities persisted intermittently from 1834 to 1839. In reality, there were several secret committees, each distinct in name, composition, and the nature of the issues they addressed. A review of their activities and an analysis of preserved archival sources and historiographical material indicate a lack of nearly any continuity and consistency in their operations. The secret committees, the sole official bodies established by the Government of the Russian Empire to oversee the reunification of Uniates with Orthodoxy, were formed as needed to deliberate and devise solutions to the challenges arising at particular historical junctures in the reunification process. Upon examining the outcomes of the secret committees’ endeavors, it becomes evident that these committees did not serve as architects or implementers of a comprehensive, long-term policy regarding the Uniate Church in the Russian Empire. Instead, they sporadically engaged in the reunification process. Therefore, the assertion that the reunification of the Uniates constituted violence against their religious conscience, orchestrated and executed solely by the forces of the government of the Russian Empire, is unfounded.
Primary schools: Spaces for children’s social and emotional learning
Authors: Pervez Aneeza , Galea Erika
Published: May 2024

Primary schools are crucial for children’s academic and social development, and in recent years, there has been a growing emphasis on incorporating socio-emotional development into the curriculum. Positive peet interactions and experiences at school, a key element of children’s social lives, facilitate their positive social and psychological development. Linked to peer relationships within school settings are core skills such as emotion regulation and prosociality. Emotion regulation plays a crucial role in shaping social connections, well-being, relationship satisfaction, and mental health, significantly affecting emotional expression, behaviour, and the quality of social interactions. Prosociality is seen to personally benefit children, by improving their mental health and wellbeing, and it also provides children with the skills needed to establish or develop communities based on principles of cooperation and belonging. In this commentary, our goal is to delve into current research on socio-emotional learning and interactional experiences within schoot settings, focusing on how emotion regulation and pro-social behaviour influence children’s experiences at school. We recommend that schools need to enhance the overall wellbeing and social development of children by fostering positive school environments, encouraging healthy peer relationships, and offering opportunities for the development of socio-emotional regulation skills, as well as prosocial behaviour.
Virtual Screening, Molecular Dynamics, MM-PBSA and In-silico Studies in Search of Potent Novel Fibroblast Growth Factor Receptors 4 Inhibitor
Authors: H Fayek Fady , M Rashad Omar
Published: May 2024

Objective: The objective of this study was to design a virtual screening (VS) protocol for identifying potential fibroblast growth factor receptor 4 (FGFR4) inhibitors from the commercially available Specs database. This was based on an experimental model of FGFR4 bound to the potent inhibitor FGF401 (PDB: 7VJL), with the aim of discovering novel compounds with therapeutic potential for various tumor types. Methods: The study comprised two main parts. Firstly, a ligand-based pharmacophore model was constructed using known potent FGFR4 inhibitors to discriminate between actives and decoys. Secondly, docking studies of the identified actives were conducted within the binding pocket of the FGFR4 experimental model. This aimed to assess the ability of the compounds to overlay on the reference inhibitor and interact similarly within the binding site. The virtual screening protocol was then applied to the Specs database to identify potential FGFR4 inhibitors. Results: The ligand-based pharmacophore model exhibited promising discrimination capabilities, achieving a true positive percentage of 100% and a false positive percentage of 7%. Docking studies revealed that the selected compounds overlaid well with the reference inhibitor and exhibited interactions within the FGFR4 binding pocket. Through the virtual screening of the Specs database, compound A emerged as the most suitable candidate. Molecular dynamics simulation and Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) calculations further supported the efficacy of compound A as a FGFR4 inhibitor. Additionally, compound A demonstrated favorable absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties, along with adherence to Lipinski’s rule of 5, enhancing its potential as a lead compound. Conclusion: In conclusion, compound A emerged as a promising selective FGFR4 inhibitor with potential for therapeutic use in various cancers. Further in vitro experiments and animal cancer model studies are warranted to validate its efficacy. The study highlights the effectiveness of the proposed virtual screening protocol in identifying novel FGFR4 inhibitors, offering a promising avenue for future drug discovery efforts in oncology.
Percorsi giuridici tra conoscenza, scienza e coscienza. Informazioni mediche e autodeterminazione terapeutica del paziente: dall’habeas corpus all’habeas animam
Authors: Di Iorio Tiziana
Published: May 2024

Legal paths between knowledge, science and conscience. Medical information and the patient’s therapeutic self-determination: from habeas corpus to habeas animam

ABSTRACT: This paper addresses the issue of medical information and informed consent. These elements constitute the cornerstone of the therapeutic alliance and the doctor/patient relationship. They are imperative elements for the protection of the patient's right to health and free therapeutic self- determination (Law 219/2017). Medical information and informed consent are also very important for the exercise of the right to conscientious objection. Therefore, it is interesting to verify compliance with these elements during the Sars-Cov-2 emergency period.
SOMMARIO: - PARTE PRIMA. Il seme della conoscenza nelle scelte terapeutiche del paziente - 1. La dimensione normativa dell’informazione medica e del consenso informato - 2. Il diritto all’autodeterminazione nelle scelte terapeutiche - 3. L’accesso alle informazioni mediche: requisiti ineludibili e diritti del paziente - 4. Il consenso informato nella sua funzione di sintesi tra autodeterminazione terapeutica e diritto alla salute - PARTE SECONDA. Un virus tra conoscenza, scienza e coscienza. Luci e ombre dell’informazione medica del paziente e strategie d’intervento - 5. La questione delle informazioni mediche e del consenso informato nel recente periodo di emergenza sanitaria da Sars-Cov- 2: brevi cenni - 6. Informazioni mediche, scelte terapeutiche e opzioni di coscienza del paziente - 7. Strategie d’intervento - 8. Conclusioni.
La dimensione religiosa nella lotta al terrorismo: il caso austriaco
Authors: Missiaggia Alessia
Published: May 2024

The religious dimension in fighting terrorism: the Austrian case

ABSTRACT: Following the terrorist attack that occurred in Vienna on the night of the 2nd of November 2020, the Austrian government has approved an innovative package of measures with the intent of countering radicalization and terrorism. After introducing the context that led to the approval of the abovementioned legal tool, the paper aims to explore the content of some specific laws introduced with it. Focusing on two of the most relevant innovations, the new crime of religiously motivated extremist association and the amendment to the Islam Act 2015, an emphasis is put on the relationship between the new package and the freedom of religion.
SOMMARIO: 1. Introduzione: la libertà di religione austriaca - 2. Le premesse al pacchetto antiterrorismo - 3. Le innovazioni in ambito penalistico - 4. In particolare, il paragrafo 247b: il reato di Islam politico - 5. Il reato di associazione estremista a motivazione religiosa. Un’analisi critica - 6. Il pacchetto antiterrorismo e la legge sui rapporti con la comunità religiosa islamica - 7. Conclusioni: l’impatto del pacchetto antiterrorismo sull’esercizio della libertà di religione.
THE EFFICACY AND SAFETY OF MINIMALLY INVASIVE TECHNIQUES IN NEUROSURGERY
Authors: HAQ MIU , UJJAN BU , KHATTAK HA , HAYAT F , JAVED MA , FAIZUDDIN . , MUSTAFA FG
Published: May 2024

Neurosurgery's minimally invasive treatments have become more popular because they may lower the dangers involved with open operations without sacrificing effectiveness. However, a thorough assessment of their efficacy, safety, and comparative results is necessary before they may be widely used. Objective: This research aimed to analyze clinical outcome data to systematically assess the safety and efficacy of minimally invasive procedures in neurosurgery. Methods: The retrospective cohort research was conducted at Hayatabad Medical Complex in Peshawar from January to December 2022. The power analysis resulted in a sample size of 360 patients. Extensive data extraction from electronic medical records was used for data collecting; this included information on clinical features, long-term follow-up results, intraoperative and postoperative data, and demographics. While inferential statistics, such as chi-square tests, were used to clarify the associations between various factors and surgical outcomes, descriptive statistics were used to characterize the clinical and demographic aspects of the research cohort. Results: A demographic distribution of 33.61% for those aged 20–40, 44.44% for those aged 41–60, and 23.06% for those over 60 was found in the research (n = 360). 55.00% of patients were male, and 45.00% were female. Obesity (20.00%), diabetes (25.00%), and hypertension (30.28%) were among the comorbidities. 60.56% of the preoperative status was independent. 5.28% intraoperative problems, 83.61% success rates, and 14.44% postoperative complications were reported in the surgical results. Compared to open surgery, the success rate for minimally invasive lumbar fusion was considerably more significant (74% vs. 57%, p=0.044). Recurrence rates were 9.17%, and 74.72% of patients had favorable functional results, according to long-term follow-up data. Surgical site infections (8.06%), bleeding (5.00%), and neurological impairments (3.16%) were among the complications. The perioperative results indicated a 3.89% conversion rate to open surgery, an average blood loss of 220 ml, and an operating duration of 3.5 hours. Conclusion: The research highlights favorable surgical results, similar long-term patient outcomes, and uniform perioperative parameters to reinforce the effectiveness and safety of minimally invasive neurosurgery. To maximize patient care and safety in neurosurgical practice, issues, including infection control and technology learning curves, need constant attention.
Ethnomedicinal and obnoxious grasses of Rajasthan
Authors: Guria B. , Sharma Rajesh , Katewa S.
Published: May 2024

The present communication is an account of 23 ethnomedicinal and 10 obnoxious grasses of Rajasthan. The ethnomedicinal grasses such as Cynodon dactylon, Cymbopogon martinii, Saccharum bengalense, Coix lacryma-jobi, Desmostachya bipinnata and Echinochloa crus-galli, etc., are used by forest dwellers for various ailments in their daily life. As a result of overgrazing and deforestation, these important medicinal grasses are being eliminated from their natural habitats, hence the work aims at preservation of this knowledge which would be valuable for herbal drug industry and may lead to the identification of new economic resources. Beside this, some grasses like Aristida spp., Avena fatua, Heteropogon contortus, Cenchrus biflorus, Paspalum scrobiculatum and Pennisetum purpureum, etc., are also reported for obnoxious properties. These poisonous grasses are great destructive and constructive agents in the economy of a nation. It is, therefore, of fundamental importance to any country to gain a complete knowledge of their distribution, chemical constituents and physical action. Botanical name, local name, locality, plant parts used and methods of application or administration are given.
Indifference and Repetition; or, Modern Freedom and Its Discontents
Authors: Ruda Frank Ruda , Badiou Alain
Published: May 2024

This book analyses how freedom can become a signifier of disorientation and oppression. Its main claim is that this becomes effective and operative by creating an “ideology of freedom” that relies on turning freedom into a natural capacity to indifferently choose. The book shows how modern philosophy repeatedly analyses this detrimental effect on our understanding and practices of freedom and can therefore serve as a critical guide against turning freedom into an instrument of domination.
Profound integration of elementary number theory in composite encryption systems: A mathematical security exploration
Authors: Zhu Liusu
Published: May 2024

Number Theory, the investigation of natural numbers, is a time-honored discipline within Mathematics that has captivated mathematicians over numerous centuries due to its inherent purity. In today's world, a thorough understanding of Number Theory is essential for the advancement of cutting-edge technology, as it is extensively applied in domains such as software engineering and cryptography. The objective of this study is to elucidate the understanding of Number Theory that underlies several composite encryption systems and analyze the advantages and disadvantages of each encryption system through a comprehensive examination of existing literature. The discipline of Number Theory has extensive practical implications in cryptography and holds the promise of being increasingly employed in various domains in the future. By elucidating the role of Number Theory in various encryption systems, the fundamental nature of encryption can be enhanced, hence fostering the emergence of novel methodologies or approaches in information security.
Using Brownian model to study the effect of temperature on diffusion coefficient
Authors: Wu Xiaoyun
Published: May 2024

This study employs molecular simulation techniques, particularly the Brownian motion model, to investigate the influence of temperature on diffusion coefficients. Leveraging Einsteins relationship for calculating diffusion coefficients and a one-dimensional random walk model, we systematically explore the impact of simulation direction, particle quantity, and simulation duration on diffusion behavior. The research extends its scope to three-dimensional Brownian motion simulations, offering insights into the stochastic motion of particles in a fluid. The primary objective is to analyze the relationship between temperature and diffusion coefficients. Through rigorous linear regression analysis, a significant and strong linear association is identified, demonstrating that an increase in temperature correlates with an increase in the diffusion coefficient. The research not only contributes to the fundamental understanding of molecular motion but also provides practical recommendations for simulation parameters, especially in resource-constrained computational environments. The study acknowledges certain limitations in the current Brownian motion algorithm and proposes avenues for future research to enhance computational efficiency and precision. This abstract encapsulates the key methodologies, findings, and implications of the research, laying the foundation for a comprehensive exploration of temperature-dependent diffusion coefficients in molecular systems.
Key parameters and major components in wearable electronics
Authors: Zhou Chenrui
Published: May 2024

The revolutionary influence of wearable electronics on health monitoring is highlighted in this research. It explores the critical dimensions and components of wearable electronics. It investigates how sensors may be integrated for noninvasive techniques like sweat analysis to analyze biochemical indicators like glucose and electrolyte levels and vital signs in real-time. The research emphasizes how crucial it is to consider user comfort, data security, device sensitivity, and stability while creating wearable health monitoring. It concludes with the promise of these devices to support large-scale health research and individualized health management. It also addresses the difficulties in sensor integration, data accuracy, and power management.
Enhancing thermal management efficiency in robotics engineering: Exploring mechanisms, techniques, and modeling approaches
Authors: Chen Shujie
Published: May 2024

Thermal management is pivotal in robotics engineering, ensuring optimal performance and reliability of robotic systems. This comprehensive review explores various heat dissipation mechanisms, cooling techniques, and thermal modeling approaches employed in robotics engineering. Key topics include conduction-based, convection-based, and radiation-based heat transfer mechanisms, alongside liquid cooling, air cooling, and phase-change cooling techniques. Analytical thermal models, computational fluid dynamics (CFD) simulations, and finite element analysis (FEA) modeling are discussed for their roles in predicting thermal behaviors and optimizing heat dissipation strategies. By synthesizing these advancements, this review provides valuable insights into enhancing thermal management efficiency and ensuring the longevity of robotic systems.
Design and simulation implementation of bismuth-doped fiber laser
Authors: Chen Yufei
Published: May 2024

Rare-earth doped fibers are an important means of expanding the wavelength band of optical fibers. Currently, researchers aim to broaden the working wavelength band of optical fibers by doping with different rare-earth elements, thereby increasing the amount of information that can be transmitted. In this paper, a bismuth-doped fiber laser operating around 1300nm was designed. A basic physical model for implementing a bismuth-doped fiber laser was proposed based on the energy levels and transition processes of bismuth, rate, and power propagation equations. It was possible to determine the link between pump power and laser power at a wavelength of 1300 nm by modeling tests using the physical model. Additionally, the relationship between pump light and laser power in bismuth-doped fiber at different positions and propagation directions was analyzed. Suggestions for the future large-scale application of bismuth-doped fiber lasers around the 1300nm wavelength band were provided.
The Investigation and Research on Operation Management
Authors: Tang Chengyou
Published: May 2024

The ability to effectively manage operations is an essential asset for any firm. In addition to ensuring that procedures are efficient, it also guarantees that resources are utilized effectively and that the organization's goals are met. An investigation of operations management serves as the foundation for this paper, which is then analyzed and recorded by a survey of the businesses that were engaged. This paper employs literature review and literature analysis as its research methods and investigates the disparities between company operation management and performance, as well as the means by which competitive strategies can be implemented. The study's findings have facilitated accurate planning and performance for Walmart with respect to operation management, while also establishing the criticality of operation management in the company's growth trajectory. Additionally, it offers a solid basis and guidance for any organization that may have uncertainties and alternative decisions regarding operational management in the coming years.
Comparison of the Performance of Different Machine Learning Methods in Predicting VIX Volatility
Authors: Zhai Yinuo
Published: May 2024

As a matter of fact, index volatility has always been one of the key indicators of the state of an index and a reflection of investor confidence and expectations in the market. Among various indicators, the VIX, which is also known as the "Panic Index", has always been viewed by the market as a barometer of the state of the economy. With this in mind, the purpose of this study is to investigate the process of Random Forest, Support Vector Regression as well as XGBoost in predicting VIX volatility and to evaluate their performance. Based on the evaluations, experiments in this study show that XGBoost performs optimally for smaller, low-dimensional time series data. According to the analysis, this study strongly demonstrates the excellent performance as well as great potential of machine learning algorithms in volatility prediction. Overall, these results will provide a feasible solution for volatility prediction with machine learning algorithms.
Comparison of Machine Learning Models for Stock Prediction
Authors: Li Siyuan
Published: May 2024

The stock market, a significant component of the financial market, is essential to the functioning of the world economy. Accurate prediction of changes in stock prices is of great importance to investors, financial institutions, and the economic system. In order to compare the effects of three methods-linear regression, K-nearest neighbor (KNN), and long short-term memory network (LSTM)-in the context of Tesla stock prediction, the goal of this study is to investigate the use of machine learning in the field of stock prediction. Through empirical analysis and comprehensive evaluation, this paper finds that the LSTM model performs best in Tesla stock prediction, with better prediction accuracy and stability. LSTM can better capture the time series characteristics and complex nonlinear relationships of stock prices, thus improving the accuracy of prediction. This research investigates the future development direction of machine learning techniques in stock forecasting, building upon the discovered insights. Subsequent investigations may concentrate on broadening the scope of data attributes, investigating group education techniques, and including attention mechanisms. The explorations and innovations will provide investors with more reliable and accurate decision support and help them make more informed investment decisions in the stock market, to achieve better investment returns. By comprehensively evaluating and comparing the performance of different machine learning methods, this paper can provide useful references and guidance for research and practice in the field of stock prediction.
Analysis of the Current Status and Future Prospects of Digital Economy in China and the United States
Authors: Huang Liming
Published: May 2024

As the world grows increasingly digitally connected, digital technology is demonstrating its benefits and possibilities in an increasing number of industries. Numbers have a significant impact on the economic sector. As a result, researching the digital economy is essential and will only become more so in the following decades. Using China in Asia and the United States in North America as case studies, this essay first examines the current state of growth of the digital economies in each of these two nations. The policies that China and the US have released on the digital economy are also listed on this page, along with an analysis and comparison of them. Next, the strengths, weaknesses, possibilities, and threats of China and the US in the area of the digital economy are examined using the SWOT approach. In conclusion, this essay examines the opportunities for collaboration and rivalry in the global digital economy, highlighting the significance of candid communication and teamwork in tackling shared issues.
Comparison of Regressions and Multi-feature LSTM in Stock Price Prediction for Top Car Companies
Authors: Li Jiale
Published: May 2024

Machine learning (ML) has gradually permeated in quantitative finance, among which Regressions and Deep Learning are two well-known ML domains. However, as traditional prediction methods, regressions have shown their limitation in more complicated datasets with temporal sequence and non-linear relationships between features and responses. In order to compare the capability of widely-used deep learning methods SVM and LSTM with that of the methods in regressions, this study acquired historical data of 10 car companies stocks from Kaggle.com to simulate the share price in the next period based on four different regression methods and two Deep Learning methods, respectively. Moreover, the author uses RMSE and MAPE as evaluation metrics to compare those models training and testing sets fitness. According to the result, LSTM has better fitness than other regression models in predicting time series data. Although share price from Kaggle might not reflect the overall market condition, this study would contribute to mend the research gap of empirical application of different machine learning methods.
Credit Enhancement Research in Asset Securitization
Authors: Liao Jiabao
Published: May 2024

Asset backed securitization is a financial technique that consolidates various assets, such as loans, collateral, and credit card receivables, into securities that can be traded. This process converts assets that were previously difficult to sell into easily tradable financial instruments. Credit enhancement plays a crucial role in the asset securitization process, aiming to raise the credit rating of securitized assets, mitigate investment risks, and attract a larger pool of investors. Hangcheng is an intellectual property service company situated in Hangzhou, Zhejiang Province. It specializes in offering consumers intellectual property services related to patents, trademarks, copyrights, and other related areas. Hangcheng intends to issue the initial phase of micro enterprise loan asset-backed securities (ABS) in 2024 to generate cash for the purpose of supporting the company's commercial growth. This paper will examine ways to improve credit through the method of literary analysis and take Hangcheng as a case study.
Analysis of Approaches for Diverse and Inclusive Human Resource Management
Authors: Li Zixin
Published: May 2024

In the present era, human resource management has become an indispensable aspect of enterprises. With the advancement of globalization, it is common for enterprises, including small and medium-sized ones, to have employees from different countries. This trend is inevitable, as individuals are widely recognized as the most valuable assets within an organization. Consequently, human resource management has become a vital element of contemporary business. With the advancement of globalization, it has become common for multinational organizations and even small and medium-sized businesses to hire individuals from foreign countries. Consequently, businesses are obligated to offer appropriate accommodations for these employees, and their HR departments must implement diverse methods and techniques to stay abreast of this trend. This paper elucidates the process of implementing diversity and inclusion in human resource management (HRM) through literature review, analysis, and case studies. It also explores the impact that this implementation has had.
Parent Companies Liability: Possible Solutions to the Illegal Acts of Their Overseas Subsidiaries
Authors: Chen Mu
Published: May 2024

Multinational enterprises (MNEs) have a significant impact on the economy, politics and other aspects of host states. Due to the imbalanced development between countries and profit-oriented capital, the rights and interests of host states and their citizens may be infringed by the illegal acts of MNEs subsidiaries. Although there have been some solutions which are relatively agreed among countries on such cases by now, the specific rules for recognizing liability are still contradictory and uncertain, resulting in victims not being able to receive adequate and effective remedies. Based on this, through researching judicial practices, analyzing specific cases in different countries, and investigating the issue of parent companies liability for the wrongdoings conducted by their overseas subsidiaries, factors for the courts to consider when hearing relevant cases can be identified. Suggestions on the allocation of the burden of proof can also be put forward, aiming to provide a feasible path for host states to enhance protection of the rights and interests of their own countries.
The Future of Work: AI's Impact on Employment and Social Structures in the Digital Age
Authors: Zhang Huijun
Published: May 2024

Within the framework of the digital economy age, artificial intelligence is sweeping across the world today. Artificial intelligence technology has made remarkable progress, and various industries have been affected, resulting in significant and even profound changes. The employment market has also been impacted as a result. This article uses case and problem analysis methods to explore artificial intelligence's influence on the labor market and societal structures in the digital age. AI's effects on the employment sector are mostly focused on in three aspects: the dangers of automation at work, the effects of AI on employment that are balanced, and how AI affects employment structures. It also has short-term and long-term effects on income inequality and requires the transformation of worker skills to high-tech digitization. Based on this, this article also puts forward suggestions for the follow-up development of enterprises, government, society, and education and puts forward thoughts.
The Impact of US-China Trade Friction on China's High-Tech Sector
Authors: Wang Ke
Published: May 2024

The main axis of the US-China game deepens from Trump's trade war to Biden's tech wars. At the same time, the chip industry has gradually become the main battlefield for the United States to suppress and curb China's scientific and technological fields. Whereas chips are an essential part of modern military equipment, communications facilities, nuclear power plants, transport systems and other critical infrastructure. Early mastery of the core chip technology can be early not to be constrained by others, to avoid the risk of being "necked".This paper will analyse the reasons why China makes the US feel that its national security is threatened, the impact of the US-China trade friction on China's science and technology sector, and find out the measures that China can take to deal with the US sanctions related to the science and technology sector, as well as the right way for China to get along with the US.
Comparison of Random Forest and LSTM in Stock Prediction
Authors: Wu Haoyuan
Published: May 2024

As an integral component of the financial market, stock prices have attracted the attention of many investors. Due to the frequent fluctuations and sensitivity to market dynamics, predicting stock prices is challenging. The volatility of stock prices and potential significant differences across different periods add to the difficulty of forecasting and reduce its accuracy. The Random Forest model and the LSTM model, as representative models in decision trees and deep learning algorithms respectively, demonstrate high accuracy and adaptability in predicting stock prices. The paper will separately utilize the Random Forest model and the LSTM model to fit the S&P 500 price data from 2013 to 2018 (represented by Apple's stock prices) as training and testing sets, and then compare the fitting results of the two models. The conclusion is as follows: In the absence of white noise in the data, the Random Forest model demonstrates smaller biases in predicting data compared to the LSTM model, and it can also respond more swiftly to price fluctuations.
Relations Between Poor Corporate Governance and Financial Crises
Authors: Liu Tianruo
Published: May 2024

The science of examining how corporate authority is distributed is known as corporate governance, when used broadly. Viewed narrowly, it is a branch of science that sits at the level of company ownership, investigates the process of appointing professional managers, and performs regulatory activities regarding the discharge of professional managers' obligations. The "management right level" of enterprise management is based on science and involves the enterprise owner and management right authorization, or management right in the case of authorization, in order to accomplish company goals and utilize all available methods of operation behavior. On the other hand, corporate governance is built at the "ownership level" of the business based on science and deals with professional managers' scientific approval and oversight. This article investigates the role of corporate governance in the financial crisis and why stock prices did not anticipate bad corporate governance, setting the scene for the global financial crisis of 2008. On the basis of existing research, analytical studies were conducted and summarized into conclusions. As shown in this paper, inappropriate corporate governance ultimately leads to an increased risk of economic crisis. Therefore, it is important to adopt the necessary tools to improve corporate governance. Management should formulate appropriate corporate strategies and ensure that they are effectively implemented, ensure that internal controls are effective and develop a good corporate culture, etc. The government should also improve the relevant regulations and ensure their implementation.
The Impact of Digital Payments on the Financial Services Industry
Authors: Wen Jiayi
Published: May 2024

Against the backdrop of the rise of digital payments, more and more people are choosing to use virtual currencies for their transactions. Thus, in this paper, the reasons for the global rise of digital currencies, the characteristics of digital payments, and the possible global impact are presented, and the possible risks and challenges of digital payments are analyzed, as well as how to protect customers' privacy and data and how to improve payment methods based on users' experiences. The focus of this paper is on discussing the impact that digital payments will have on the financial industry, comparing and analyzing the advantages and disadvantages, and exploring the indirect or direct impact it will have on financial services and money. Furthermore, it analyzes the habits of consumers using digital payments and whether digital payments will quietly change their habits.
ANÁLISE DE IMPACTO REGULATÓRIO E PRAGMATISMO JURÍDICO:
Authors: Oliveira Rafael Carvalho Rezende
Published: May 2024

O presente artigo tem por objetivo abordar a intensarelação entre a Análise de Impacto Regulatório (AIR) eo pragmatismo jurídico que enfatizam a importância dasconsequências da decisão pública. Após as alterações promovidasna Lei de Introdução às Normas do Direito Brasileiro (LINDB) em2018, que enfatizaram a relevância das consequências práticas ejurídicas na decisão pública, o estudo do pragmatismo jurídico foiintensificado na doutrina. A presente pesquisa pretende demonstrara relevância da aplicação da visão consequencialista no camporegulatório. No Direito Regulatório, a AIR tem sido consideradarelevante instrumento de planejamento e de monitoramento dasconsequências na produção de atos normativos por parte dasagências reguladoras, uma vez que possibilita maior racionalidade,transparência e eficiência ao processo decisório.
MITIGAÇÃO DA SOBERANIA DECISÓRIA DO ESTADO-NAÇÃO DEMOCRÁTICO FRENTE AO PROCESSO DE GLOBALIZAÇÃO ECONÔMICA
Authors: Mustafá Rennan Herbert , Benfatti Fábio Fernandes Neves
Published: May 2024

Diante de um processo de crescente superaçãode fronteiras físicas e burocráticas no cenário econômicointernacional, o Estado-nação se tornou pequeno demais pararegular relações negociais privadas transnacionais, ao ter suasoberania enclausurada por linhas territoriais políticas que nãorepresentam mais os fluxos reais econômicos. Por conseguinte,questiona-se de qual modo o Estado-nação democrático poderetomar sua soberania decisória em um mundo “sem fronteiras”?Pretender-se-á disseminar a discussão sobre a necessidadede se expandir as divisas democráticas no campo econômicoglobal. Para isso, utilizar-se-á do método dedutivo e derevisão bibliográfica. Considerar-se-á que a elaboração de umordenamento jurídico supranacional é um dos meios possíveispara a superação da atual crise do Estado-nação.
DEFENSORIA PÚBLICA E ACESSO À JUSTIÇA NO DIREITO À EDUCAÇÃO INFANTIL EM CRECHE EM LONDRINA
Authors: Nogueira Pinto e Borgo Bzuneck Maria Celia , Ribeiro Pinto Nicolle Yohana
Published: May 2024

O maior desafio do Estado Democrático de Direitoé proporcionar a efetivação das garantias previstas no textonormativo, o que se vê, por exemplo, na latente violação ao acessoà educação infantil em creche pelo Poder Público, lesando odireito inerente à inúmeras crianças nos anos iniciais de sua vidae desenvolvimento. Com a insuficiência de vagas, a negativa dematrícula em creche é formalizada pela via administrativa, sendoum dos meios alternativos para o cumprimento da obrigação defazer pelo Poder Público através da justiciabilidade, ou seja,a provocação do Poder Judiciário em busca de uma soluçãosatisfatória a lide constituída. Assim, o objetivo geral destapesquisa exploratória é analisar e avançar nos estudos sobre aatuação da Defensoria Pública no município de Londrina (PR),como instituição competente e legitimada para a representaçãoe ajuizamento de demandas que versem acerca do direito àeducação infantil em creche e a forma que tal prerrogativagarante o acesso à justiça ao detentor do direito violado.
CONFLITO DE AGÊNCIA E GOVERNANÇA CORPORATIVA:
Authors: Borges de Oliveira Emerson Ademir , Miotto Marcos Vinícius de Jesus , Covo Suéllen Cristina
Published: May 2024

O presente artigo pretende analisar o escândalofinanceiro da Parmalat, tendo como escopo a investigação sobreo uso de documentação contábil falsa. Para tanto, o método deabordagem seguido foi o indutivo, com a utilização de pesquisabibliográfica. Nesta perspectiva, inicialmente foram abordadoso uso da documentação contábil falsa e seus impactos nodesenvolvimento econômico e na credibilidade das empresas.Posteriormente, a pesquisa se debruçou no estudo do casoParmalat e do escândalo financeiro ocorrido com a corporaçãoem 2003, a partir do uso de documentação contábil falsa. Porderradeiro, investigou-se as questões relativas ao conflito deagência e as contribuições da governança corporativa para ocombate às fraudes contábeis. Como conclusão, apontou-sea não adoção de um sistema de governança corporativa pelaParmalat, diante do conflito de agência caracterizado e notóriamonopolização da autoridade entre o conselho administrativo e apresidência executiva.
ACESSO A DIREITOS SOCIAIS PELOS NÚCLEOS DE PRÁTICA JURÍDICA:
Authors: Pereira Luiz Ismael , Andrade Gabriel Pereira Penna , Batista Patrícia Ferreira
Published: May 2024

Este artigo objetiva analisar os dados da judicialização
dos direitos sociais no Laboratório de Prática Jurídica da
Universidade Federal de Viçosa/MG (LPJ). Pretendeu-se entender
as consequências da individualização/coletivização das políticas
públicas na judicialização, suas variáveis e o papel dos escritórios-
modelo. Realizaram-se revisão bibliográfica e a coleta de dados
dos casos do LPJ e do Sistema de Informações Estratégicas do
Judiciário (Tribunal de Justiça de Minas Gerais), de 2010 a 2018,
com aprovação ética pelo sistema CEP/CONEP. As conclusões
apontam que existe desconfiança nas soluções coletivas e pré-
processuais para os direitos sociais; há uma demanda contingente
no perfil dos clientes do LPJ; e, por fim, que há oportunidades
de benefícios da assistência judiciária gratuita nos Municípios de
médio-pequeno porte, em especial no campo dos direitos sociais.
SUSTENTABILIDADE: DIREITO AO FUTURO
Authors: Lebbos Favoreto Ricardo
Published: May 2024

A presente resenha tem por objetivo proceder a uma apresentação sintética da obra “Sustentabilidade: direito ao futuro”, do Professor Juarez Freitas, na qual se postula consistir a sustentabilidade em princípio constitucional que vincula juridicamente – cogente, destarte. Para tanto, esquadrinham-se seus capítulos, analisa-se o movimento retórico percorrido, extraem-se pontos reputados fundamentais e avalia-se a obra no contexto do pensamento jurídico contemporâneo – tudo de modo sinóptico, tocando-se (ao menos em parte) o que da obra considera-se elementar. A relação entre Direito e sustentabilidade é, na contemporaneidade, incontornável – e a obra em tela propulsiona a discussão temática. Constitui, pois, um significante instrumento para iniciação ou aprofundamento no tema.
PROTEÇÃO DE DADOS E O PRINCÍPIO DA DIGNIDADE HUMANA:
Authors: Calissi Jamile , Franco Neme Eliana , Alberto Maia Bruno
Published: May 2024

O texto tem como objeto de investigação a proteção dedados, um Direito Fundamental Autônomo, a partir da evoluçãohistórica, tanto do conceito de Dignidade da Pessoa Humana,quanto do conceito atinente ao direito à privacidade, o quepermite constatar a autonomia científica do Direito à Proteçãodos Dados desconectada da perspectiva civilista dispensadaao Direito à Privacidade, premissa a partir da qual chega-se àdefinição do conceito de autodeterminação informativa e quepermite sustentar que a Dignidade da Pessoa Humana tem
natureza supra positiva e positiva. Nesse sentido, pressupõe-se uma relação dialética entre o Direito Natural e o Direito
Positivo, orientada a concretização da perspectiva personalistada dignidade, que coloca a pessoa humana no centro doordenamento jurídico, tanto no âmbito do Direito Interno, quantodo Direito Internacional, esta, também uma premissa que permitesustentar os benefícios com a influência exercida pelo DireitoEuropeu no Direito Brasileiro, tanto no âmbito dogmático,quanto jurisprudencial, evidenciado a partir da análise doconteúdo referente à Ação Direta de Inconstitucionalidade 6389de 2020 em trâmite no Supremo Tribunal Federal. Para alcançaro objetivo proposto, será utilizada pesquisa bibliográfica e, naescrita, o método dedutivo. Justifica-se o presente estudo, pois, apartir dele, poderá ser possível constatar a autonomia científicado Direito à Proteção dos Dados para se alcançar a definiçãoconceitual de autodeterminação informativa. A exposição de tais fatores revelará que a Dignidade da Pessoa Humana possuitanto natureza supra positiva quanto positiva, confirmando, dessemodo, a possibilidade de concretização personalista da Dignidadeda Pessoa Humana.
REPRODUÇÃO HUMANA ASSISTIDA POST MORTEM E ATUAÇÃO DOS TRIBUNAIS BRASILEIROS:
Authors: Carvalho Pavão Juliana , Resquetti Tarifa Espolador Rita de Cássia
Published: May 2024

As técnicas de reprodução humana assistida (RHA)estão sendo cada vez mais utilizadas. Por isso, com o decorrerdo tempo, conflitos surgem e demandas são propostas peranteo Poder Judiciário que deve apresentar uma resposta. Diantedisso, o presente trabalho tem como objetivo analisar osjulgados dos tribunais brasileiros sobre a temática da RHA postmortem, principalmente o Recurso Especial n. 1.918.421/SP doSuperior Tribunal de Justiça (STJ), com a finalidade de traçarqual tem sido o entendimento jurisprudencial sobre o assuntoe como o ordenamento jurídico tem sido utilizado. O trabalhoutiliza o método dedutivo, realizando a análise dos principaiscasos sobre a temática. Assim, conclui-se que o ordenamentojurídico brasileiro não tem regulamentado adequadamente osprocedimentos envolvendo RHA, diante disso, os tribunaistêm muitas vezes utilizado regulamentações técnicas de outrosórgãos para fundamentar sua decisão. No tocante a RHA postmortem, os tribunais têm observado sempre a existência ou nãode manifestação de vontade do falecido, para então, autorizaro procedimento. Por meio dessa pesquisa, percebe-se quea decisão do STJ está em conformidade com as decisões dosdemais tribunais, entretanto, deve-se destacar que a manifestaçãode vontade não precisa ser necessariamente escrita, podendo serprovada por outro meio. Por fim, percebe-se que é essencial queos Termos de Consentimento Livre e Esclarecido contemplemadequadamente o destino dos embriões/material genético emdiversas situações, uma vez que podem ser utilizados como meio de prova da manifestação de vontade.