bluuebunny/crossref_metadata_2025 huggingface dataset:
Kyiv 1, Moscow 0
Authors: Zohn Yacov
Published: January 2025

This article investigates how the increased influence of Ukrainian bureaucrats, especially Volodymyr Shcherbyts′kyi, enabled Dynamo Kyiv, Ukraine's unofficial national team in soccer, to eventually recruit the best talent in the USSR. This battle for players pitted Muscovite political and sports institutions against their Kyivite counterparts, with “the periphery” Kyiv eventually gaining the upper hand on “the center” Moscow. This recruitment struggle from 1953 to 1963 laid the foundations of Dinamo Kyiv's transformation into the most decorated club in the Soviet Union. This research illustrates how soccer offered a rare avenue for Ukraine to challenge Russian hegemony, a situation that contrasted sharply with Russia's primary position in the Soviet empire. The weak Muscovite sports institutions and the fragmented nature of soccer in the capital proved a beatable opponent for Kyiv's centralized approach.
STRATEGIC SHIFTS: APPLICATION OF GAME THEORY FOR OPTIMIZING CHANGE MANAGEMENT
Authors: Galoyan L. , Ghazaryan A.
Published: January 2025

The article’s aims to reveal the application of game theory in terms of more effective management of organizational changes. To achieve the main goal, two problems immediately arise:

Why is the context of organizational change suitable for game-theoretic analysis?
What are the possible and significant applications of game theory in change management?
This study is not devoted to any specific case of change. It does not contain an analysis of one specific problem. The article presents possible and significant theoretical applications of game theory to the problems of organizational change, not an in-depth modelling of one problem. For this reason, several situations were identified in which the application of game theory is appropriate, and games were modelled for those situations. The basis for game modelling was a survey among the management and employees of Tele Performance Armenia.

Thus, problem areas of organizational changes were identified as an analysis method and mechanisms for applying game theory and detailed problem analysis were used. Relevant games were proposed, and their solutions or equilibrium points were discussed. The method used will automatically show the practical application of game theory in complex situations of change implementation.

As a result of the analysis, it was concluded that possible main functions of game theory are equilibrium analysis, strategy formulation, providing abstract advice, as well as interpretation and description of complex situations for change implementation as an analytical tool.
Analyzing and Interpretation of Kernel Neutrosophic Set Based Machine Learning Model for Cost Estimation of Multi Product Supply Chain Management Systems
Authors:   Department of Corporate Finance and Corporate Governance, Financial University under the Government of the Russian Federation, Moscow, 125167, Russia, Elvir Elvir ,   Department of Economics, Urgench State University, Urgench, 220100, Uzbekistan,   Institute of Digital Technologies and Law, Kazan Innovative University named after V.G. Timiryasov, Kazan, 420111, Russia,   Department of Economics and Management, Khorezm University of Economics, Urgench, 220100, Uzbekistan,   Department of Economics and Management, Khorezm University of Economics, Urgench, 220100, Uzbekistan,   Department of Economics, Mamun University, Khiva, 220900, Uzbekistan; Moscow Aviation Institute (National Research University), Moscow, 125080, Russia, Ruzmetov Bakhtiyar , Begishev Ildar , Shakhov Denis , Klochko Elena , Akhmetshin Elvir
Published: January 2025

Neutrosophic set (NS) is a novel devise to handle uncertainty considering the memberships of truth T, indeterminacy I, and falsity F satisfying. It is employed to illustrate the indefinite data more appropriately and precisely than an intuitionistic fuzzy set. The search for cost information over the supply chain is very significant for controlling costs that aid in enhancing and beginning activities in organizations in the value chain. In today’s intricate supply networks, sharing data among suppliers and buyers is important for sustainable competitive benefit. Particularly, for both business partners, cost information is extremely appropriate in buying conditions. As per experimental analyses in literature, artificial neural networks (ANNs) are probable to have a great latent to expose cost structures by machine learning (ML). This study presents a novel Interpretation of Kernel Regression Neutrosophic Set using Enhanced Coati Optimization for Cost Estimation Model (KRNSECO-CEM). The main goal of the presented KRNSECO-CEM technique is to analyze and interpret the multi-product of Supply Chain Management Systems. At first, the KRNSECO-CEM approach applies Z-score normalization to pre-process the input data. For the regression process, the kernel regression based neutrosophic set (KRNS) model can be used. Eventually, the enhanced coati optimization algorithm (ECOA) has been applied for the fine-tuning of the best hyperparameter of the KRNS model. The experimental evaluation of the KRNSECO-CEM algorithm can be tested on a benchmark dataset. The extensive outcomes highlighted the significant solution of the KRNSECO-CEM approach over other recent approaches
APOE2 act as inhibitors to microglial LDAM transition by restricting LD accumulation
Authors: Zhou Ziqi
Published: January 2025

Recent studies have suggested the relationship between genetic risk factors related to lipid droplets accumulation such as APOE4 and Alzheimers disease pathology. However, whether certain APOE variants act as inhibitors of transition to LDAM by limiting LD accumulation remains unknown. This paper raises a research proposal for this question by trying to illustrate it in two steps. First, experiments performing immunostaining on mice suggest that APOE2 could limit lipid accumulation, proving that APOE2 could efficiently clear myelin debris and microgliosis is dramatically increased upon acute demyelination. Then, several experiments are performed to prove that limited lipid accumulation could reduce microglial LDAM transition, illustrating that the differences in ability of phagocytosis, ROS production and immune signaling exist if there are differences in the content of lipid accumulation. Finally, some insights about the related therapies are mentioned. If the hypothesis in the proposal is proved to be true, some related potential therapeutic strategies for treating Alzheimers disease would appear.
The Correlation between Caffeine Intake and the Risk of Hypertension
Authors: Yang Ruoyun , Fan Yuanshu , Jin Tian
Published: January 2025

Background: Hypertension is a common chronic disease. It can aggravate the risk of cardiovascular disease, stroke, kidney disease, etc., affecting people's health. Caffeine is a natural ingredient in many foods and beverages, which is more prevalent in people's daily intake. It is thought to have a possible effect on blood pressure. However, there is still controversy regarding the relationship between caffeine intake and risk of hypertension. Therefore, an in-depth study of the effects of caffeine on hypertension can help people develop sound dietary advice and strategies to prevent hypertension. Methods: 5153 participants from NHANES were included in the study. Measure blood pressure and identify hypertensive patients. Participants' dietary data were then collected via 24-hour food recall and food frequency questionnaires. Caffeine intake data were collected in the MEC dietary interview room. Considering covariates such as BMI, smoking status, alcohol intake and dietary salt intake. Analyzed using linear regression, non-linear regression and logistic regression. Results: A nonlinear relationship was shown between caffeine intake and systolic and diastolic pressure (Systolic blood pressure: p-value < 0.01; Diastolic blood pressure: p-value < 0.05). In the nonlinear relationship, a U-shaped curve and an inverted U-shaped curve were found by restrictive cubic spline models. A logistic regression also proved in this study that caffeine intake has a significant impact to the risk of hypertension (p-value < 0.01). Caffeine intake had no significant effect on blood pressure in menopausal women (p-value > 0.05). Conclusion: Our study shows U-shaped and inversed U-shaped association between caffeine intake and systolic and diastolic pressure. We also show that caffeine intake has positive affect the probability of getting hypertension.
Dual Drugs in Tandem: A Comparative Study of Gefitinib and Bevacizumab in the Treatment of Non-Small Cell Lung Cancer
Authors: Gao Jing
Published: January 2025

The field of lung cancer research includes non-small-cell lung cancer (NSCLC), which has been a common subject of medical research in recent years. As an epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), Gefitinib blocks the activity of EGFR. Thereby inhibiting the proliferation of cancer cells. Another drug, Bevacizumab, takes a different way by cutting off the blood that is supplied to cancer cells. Whether used alone or in combination, these two drugs have significantly advanced the field of NSCLC treatment and offered new hope for patients.
Potential Effects of Levels of Vitamin C and Vitamin D in Serum on Diabetic Cardiovascular Diseases Prevention
Authors: Hu Nanchen , Xia Fan , Li Hanna
Published: January 2025

Diabetes, as one of the major causes of global death, is affecting people worldwide and increasing the risk of cardiovascular diseases. Recent research indicated that vitamin C and vitamin D supplements can lower blood glucose levels and blood pressure to help prevent diabetic cardiovascular disease. However, the impact of the serums level of vitamin C and vitamin D on reducing the diabetic cardiovascular disease risk have not been fully illustrated. This paper aimed to investigate the association between vitamin C, vitamin D serum levels and cardiovascular disease complicated by diabetic mellitus. This study used data from the NHANES 2017-2018, and Multiple Linear Regression and Logistic Regression methods were implied. The study found that for plasma fasting glucose, vitamin D in serum was found to have a significant influence (p=0.0374). For blood pressure, significant correlations were observed with vitamin D in serum (p_Systolic<0.0001, p_Diastolic=0.0240) and with vitamin C in serum (p_Systolic<0.0001,p_Diastolic=0.0089). Furthermore, the impact of vitamin D serum levels on decreasing diabetic cardiovascular disease risks had a precondition, with serum content below sufficient standard 75 nmol/L provided by Americans Endocrine Society. SHAP was also applied in this paper as an interpretation was to support the findings. Future studies will explore the appropriate serum levels of vitamin C and vitamin D for clinical treatment.
Investigating Deep Learning Models for the Classification of Brain Tumors to Infer Biological Significance from MRI Images
Authors: Liu Xueshen
Published: January 2025

Brain tumors can pose a dangerous threat if misclassified. The primary way of classifying these brain tumors is through Magnetic Resonance Imaging (MRI) images, which is a highly subjective and manual process. With improved technology and machine learning, this paper proposes CapsNet model and ViT model, which differs from traditional CNN model, that aims to perform better on small image size, long-range dependencies and sequential features, which human tissue often contains. After extensive training and evaluation, the results of the CapsNet models and ViT models on the testing dataset come out to be 74.81% and 93.84%, respectively. We also find that the potential of our work will be enormous in propelling the actual application of ML in clinical diagnosis because the incredible accuracy will protect patients and doctors from the risk of misdiagnosis. Furthermore, interpreting the models also help us reinforce and gain new perspectives on clinical diagnostics.
Development and Challenges of UAV Technology in Civil Engineering Surveying and Mapping
Authors: Zhang Sicheng
Published: January 2025

In recent years, as the cost of Unmanned Aerial Vehicle (UAV) technology has steadily decreased and advancements in data processing speed and image recognition have accelerated, UAVs have become increasingly favored in civil engineering surveying and mapping. The purpose of this paper is to study the development of UAV technology in the field of civil engineering surveying and mapping and its current application methods. By analysing the above contents, the problems still existing in the current practical use of UAV technology are studied. Through a review of relevant literature, newly developed technologies will be integrated with current UAV capabilities to propose recommendations for future improvements. This article employs literature analysis and case study methodologies to investigate the utilization of UAV technology. It delineates the current state of development and the challenges that UAV technology faces in the surveying field by examining extant academic research materials and legal regulations. It also provides a concise overview of the distinctive benefits of UAV technology. Simultaneously, the deficiencies of UAV technology in field environments are investigated, particularly focusing on data collection and accuracy in engineering surveying projects. UAV technology has obvious advantages compared with traditional methods in the field of civil engineering surveying and mapping. It can complete surveying and mapping tasks efficiently and quickly in many application scenarios. The high flexibility of UAVs and the high-precision scanning of their sensors are enough to meet the needs of current engineering surveying and mapping. The wide application of UAV technology still faces problems such as imperfect laws and regulations, insufficient surveying and mapping scope, and large surveying and mapping data. Addressing these issues requires the development of new laws and the creation of algorithms to enhance data processing capabilities.
A Study on Urban Park Design from the Perspective of Environmental Perception: Exploring Future Landscapes to Enhance Well-being and Social Inclusion for Vulnerable Groups
Authors: Zou Yichen
Published: January 2025

Urban green spaces, including parks, are essential for promoting well-being and social inclusion for vulnerable groups, such as the elderly, people with disabilities, and those living in low-income areas. This work examined how environmental perception influences the experience of these groups in urban parks, adopting a mixed-methods approach to collect both qualitative and quantitative data. Structured surveys, in-depth interviews and field observations assessed the aspects of park design that impact the users experience, including accessibility, sensory stimulation and perceived sense of safety. The findings showed that accessible pathways, multi-sensory elements and areas for social interactions are positively associated with the experience of the users, ultimately promoting well-being and social inclusion. More specific challenges and preferences were also highlighted, such as the need for more ramps, the concentration of shaded seating close to sensory elements and the provision of more safety measures. The findings stress the importance of inclusive and considerate park design to support the needs of urban populations. This study provides valuable support for urban planners and policymakers in the creation of parks that promote well-being, social inclusion and community interaction.
Soil heavy metal distribution characteristics and source analysis model selection and soil pollution source types
Authors: Song Yicheng
Published: January 2025

Rabindranath Tagore described the world's unfairness to him with the words, "The world has kissed my soul with its pain, asking for its return in songs." Despite the adversity, he responded with kindness. Similarly, the current state of soil environment can be likened to this sentiment. The importance of soil to us is self-evident, yet a multitude of soil environmental problems arise one after another. Soil heavy metal source analysis is the most efficient means to judge and mitigate soil pollution problems. Although the development of soil pollution source analysis models is quite mature, the types of soil pollution source analysis are very diverse, and the regions involved are uneven. In this study, the main heavy metal pollution corresponding to different soil pollution sources and the analysis model of the dominant soil pollution sources corresponding to different pollution sources were reviewed, and the optimal pollution source analysis method should be selected to deal with different soil heavy metal pollution problems.This study aims to better understand the relationship between soil heavy metal distribution characteristics, the selection of source analysis models, and the types of soil pollution sources, so that more efficient use of better soil pollution source analysis models and targeted selection of soil pollution source analysis models for detecting specific soil heavy metals can be achieved.
A Loss-Modified Densely Connected Atrous Convolutional U-Shape Encoder-Decoder Style Network for Ship Segmentation via Satellite Images
Authors: Nie Mingxuan
Published: January 2025

The segmentation of ships in satellite imagery is vital for maritime surveillance but presents unique challenges such as imbalanced datasets, small-scale object detection, and complex backgrounds. To address these, we propose an advanced U-Net-based architecture enhanced with depthwise separable convolutions for efficient feature extraction, dropout regularization, and batch normalization for improved generalization. Furthermore, a custom combined loss function integrating Dice Loss, Binary Cross-Entropy (BCE), and Focal Loss is introduced to tackle class imbalance and improve segmentation precision. The proposed model achieves superior performance across multiple metrics, including a Dice Coefficient of 0.6325 and a precision of 0.6678, outperforming baseline models such as standard U-Net, Res-U-Net, Dense-U-Net, and MultiRes-U-Net. Qualitative results further demonstrate the models ability to detect small and complex ship structures, although limitations in noisy environments and misclassification of non-ship objects are observed. Our findings underscore the importance of architectural enhancements and loss optimization in segmentation tasks. Future work could focus on incorporating attention mechanisms, advanced denoising techniques, and multimodal data integration to further improve accuracy in challenging conditions. This study highlights the potential of the enhanced U-Net for maritime applications and broader segmentation tasks in satellite imagery analysis, offering a robust solution for global maritime monitoring.
Overview of Automatic Modulation Recognition Methods based on Deep Learning
Authors: Zhang Shiqi
Published: January 2025

Spectral resources are becoming increasingly scarce due to the rapid growth of communication data volumes, and the modulation methods of signals will also become more diverse. There is an urgent need for more effective modulation recognition methods. Firstly, based on a large amount of high-level information, this paper introduces shallow machine learning and some of its representative methods. Secondly, in response to the low accuracy and high computational complexity of most shallow machine learning models, this paper introduces the application of deep learning in the field of automatic modulation recognition. Finally, possible solutions to the existing problems and challenges in modulation recognition technology are proposed, and future prospects are discussed. Automatic Modulation Recognition(AMR) technology is relatively well developed in closed-set research, but it still needs to be strengthened in open-set research. In addition, research on unlabeled samples is also lacking, and there should be an increased focus on research for powerful hardware platforms capable of modulation recognition.
Recent Developments in MXene-Based Supercapacitors
Authors: Zhu Hanze
Published: January 2025

MXenes, a family of two-dimensional transition metal carbides, nitrides, and carbonitrides, have emerged as promising materials for supercapacitor applications due to their unique properties, including high electrical conductivity, large surface area, and excellent electrochemical performance. Their graphene-like structure and the transition metal layer confer excellent conductive and energy storage properties. Therefore, they can be used as electrode materials for capacitors and to promote research progress in areas such as solid-state batteries. This review summarizes recent advancements in MXene-based supercapacitors, focusing on synthesis methods, structural properties, and electrochemical performance enhancements achieved through various strategies. Challenges and future prospects of MXene-based supercapacitors are also discussed, providing insights for researchers and engineers in the field of energy storage
An Optimised Method for ZnO Sacrificial Layer Lift-Off on GaN Substrates
Authors: Yang Jiayi
Published: January 2025

This study investigates the optimisation of the sacrificial layer epitaxial lift-off process using ZnO grown on GaN substrate. The aim of the study is to achieve efficient ZnO removal while preserving the integrity of the GaN layer. Previous studies [1] have identified two major challenges: the declining dissolution rate of ZnO in HCl solution without regular refreshment and the mechanical deformation of the GaN layer during the lift-off process (the GaN layer tends to crack and curve when directly transferred to glass substrate due to stress release during ZnO dissolution). This research establishes mathematical relationships between 0.1mol/mL to 2mol/mL concentration of HCl and ZnO dissolution rate, as well as between the thicknesses of GaN and ZnO layers. These relationships are crucial for preventing GaN layer defects during the ZnO stripping process
Study on Strategies to Enhance the Energy Density of MXene Supercapacitors
Authors: Lu Weideheng
Published: January 2025

MXene is a newly developed two-dimensional energy storage material in recent years, featuring abundant surface functional groups, fast ion transport channels, and sufficient surface active sites. It has become a current research hotspot, with a large number of studies emerging in recent years. This paper provides a comprehensive review of the application of MXene materials in supercapacitors. First, the working principle of supercapacitors is introduced, and the key factors affecting their electrochemical performance are analyzed. Then, the advantages and disadvantages of various types of electrode materials are summarized in detail, with a focus on the application of MXene materials in supercapacitor electrodes. This includes an overview of the synthesis methods, structural advantages, electrochemical performance, and existing issues of MXene. Finally, strategies and suggestions for improving the performance of MXene electrode materials in the future are proposed. This review provides detailed information and reference value for the application research of MXene materials in supercapacitors.
Artificial Intelligence Applications in Everyday Life
Authors: Zhu Chenyu
Published: January 2025

With the rapid advancement of Artificial Intelligence (AI) technologies, applications of AI are transforming lifestyles across various fields at an unprecedented pace, bringing numerous conveniences and innovations. However, the widespread application of AI also presents challenges such as privacy protection and ethical concerns. Therefore, it is of great value to enhance the insights into how AI is being used in the various industries, and how it will be developed, to have healthy development of the technology and the societys well-being. In this thesis, they apply AI to smart homes, intelligent health management, transportation, and social entertainment. This paper aims to assess AI's practical impact in various ways, analyze the revolutionary changes and obstacles brought by AI, and provide insight into future technological revolutions. In addition to that, this review assists readers in understanding the role of AI in everyday life in a more comprehensive way and offers theoretical support for future innovative technology, policy-making and societal adoption.
Research on the Impact of ASR Technology on Intelligent Interconnection based on Embedded Experiments
Authors: Liu Xinwei
Published: January 2025

With the rapid development of artificial intelligence technology, automatic speech recognition (ASR) technology has become an important breakthrough in the field of human-computer interaction. ASR technology can convert human speech into text, thereby revolutionizing the way human-computer interaction occurs and significantly improving the efficiency of information processing. Therefore, it is of great research significance to observe the impact of ASR technology on social interaction and public discourse space from the perspective of embedded experiments. This article comprehensively ASR technology, covering its working principle, development history, technical methods and application scope. The basic principles, application scope, and related technologies of embedded experiments are introduced, and the direction of future development is prospected. In addition, this article explores the specific application of embedded experiments in ASR technology, analyzes in detail how ASR technology is combined with embedded experiments through steps such as preprocessing, feature extraction, and identification, and gives three specific cases to illustrate its use. Practical application effect. The research significance of this article is to reveal the important role of ASR technology in various fields, and how embedded experiments can further promote the optimization and progress of ASR technology.
Comparative Analysis of Grid-Connected Inverter for Photovoltaic Generation
Authors: Gao Yingqi , Li Zhixiang , Sun Feiyang
Published: January 2025

The global energy mix is currently facing a major transformation, with the non-renewability of traditional fossil energy sources such as coal, oil and natural gas and environmental pollution becoming increasingly prominent. This paper presents an in-depth comparison between different grid-connected photovoltaic (PV) inverters, focusing on the performance, cost-effectiveness, and applicability of these two inverter technologies in PV grid-connected applications. These inverters are highly adaptable to dynamic grid conditions and provide significant harmonic suppression, but the relatively high initial cost is their major drawback. The study also explores optimization methods for filtering techniques, as well as future directions for inverter technology, including the application of smart materials, advanced control algorithms and new semiconductor materials. It is found that LCL-type inverters and three-phase inverters with active power filter have their own advantages, and the selection should be based on specific application needs, cost budget and power quality requirements. In the future, with the continuous progress of technology, we expect that the inverter technology can realize higher efficiency and better power quality to meet the increasing demand for grid-connected PV system.
Systematic Analysis on Performance Optimization of Tree Multipliers
Authors: Yu Haoran
Published: January 2025

The microprocessor chip is the core technology of the computer industry, and the multiplier is an important computing unit of the microprocessor. Its computing speed and area performances determine the performance of the microprocessor, and its structure determines whether it is easy to implement. Tree multipliers are widely used due to their superior performance. This article analyzes and compares the performance of several typical tree structures, including Wallace tree, Dadda tree, ZM tree, and OS tree, and compares various performance optimization methods, such as optimizing compressor structure, optimizing tree structure, and using PPA. This article found that the Wallace tree and Dadda tree have the fastest speed, but their irregular structures are not conducive to implementation. ZM tree and OS tree are two types of delay balancing trees with regular structures, but sacrifice speed and area performances. The optimization of compressor structure and tree structure, as well as the use of PPA, have reduced latency, but may lead to an increase in area. This article summarizes the current development of tree multipliers and has high reference value in future research.
MOŻLIWOŚCI I OGRANICZENIA ZASTOSOWANIA PROCESU SPAWANIA LASEROWEGO, DO ŁĄCZENIA ODLEWANYCH ELEMENTÓW MANIFOLD I TURBINY SILNIKÓW SPALINOWYCH. CZ.1 SPAWANIA LASEROWE TURBINY Z MIESZKIEM KOMPENSACYJNYM
Authors:   Instytut Spawalnictwa (obecnie Sieć Badawcza Łukasiewicza), Stano Sebastian , Anioł Radomir ,   Sonima Sp. z o.o.
Published: January 2025

W pierwszej części artykułu przedstawiono wyniki badań technologicznych, dotyczących spawania
laserowego elementów odzwierciedlających połączenie turbiny z mieszkiem sprężystym,
stanowiących części zespołu manifold. Określono wpływ mocy wiązki laserowej, prędkości spawania,
kąta propagacji wiązki, położenia ogniska oraz rozmiarów ogniska wiązki na przebieg procesu
spawania, jakość spoiny oraz głębokość wtopienia.
THE RELATIONSHIP BETWEEN HARDINESS AS A FACTOR OF PSYCHOLOGICAL RESILIENCE AND PERSONAL MATURITY OF HIGHER EDUCATION STUDENTS
Authors: KOVALОVA OLHA , GRYSHKO OLEKSANDR , MIROSHNYCHENKO OKSANA , REZNIKOVA OLENA
Published: January 2025

"The article presents the results of theoretical analysis and empirical research on the resilience and
personal maturity of higher education students, future psychologists, in conditions of stress caused
by global transformational processes and the war conflict initiated by the Russian Federation in
Ukraine.
The aim of the study is to determine the features of the relationship between resilience of higher
education students with different levels of personal maturity. The research found that resilience is
a psychological factor of personality resilience, allowing individuals to cope with stressful and complex
life situations by demonstrating “strength”. Empirically, a direct correlation was found between
indicators of personal maturity and resilience, namely: the ability to psychologically connect with
another person and take risks; life attitudes and enthusiasm, and indicators on the “Control” scale.
Thus, hardiness and resilience are integral characteristics of personal maturity. A mature personality
copes better with life challenges, difficult situations, using difficulties as opportunities for growth."
Compliance e a nova lei de licitações: o incentivo normativo à implementação de programas de integridade
Authors: Santos Douglas Oliveira , Gibran Sandro Mansur
Published: January 2025

O presente artigo tem por objetivo tratar da normatização no Brasil dos sistemas de autorregulação e de integridade implementados na atividade empresarial, dentre os quais se encontra o compliance. Serão objeto de destaque os fundamentos que culminaram com surgimento da ideia de implementação do compliance, especialmente nas empresas brasileiras, destacando-se nesta perspectiva tanto a tendência mundial de procedimentos aptos a estabelecer regras para cumprimento de normas legais e programas de conduta ética eficazes pelas empresas, como a necessidade do Brasil dar cumprimento a tratados internacionais dos quais se tornou signatário, comprometendo-se a adotar ferramentas enérgicas de combate à corrupção em todos os segmentos da vida em sociedade. Por outro lado, em que pese as questões jurídicas que circundam a autorregulação e o compliance serem motivo de muitos debates, será abordada especialmente a necessidade de implementação de programas de integridade nas empresas que participam de licitações públicas pois, segundo estudos realizados, que serão tratados nesse artigo, as compras públicas são fonte intensa de corrupção nos países em desenvolvimento, como se tem inúmeros casos que se tornaram públicos nesse setor no Brasil e, nessa perspectiva, o presente trabalho também se dedicará a analisar os reflexos das previsões da Lei 14.133/2021, chamada popularmente de Nova Lei de Licitações, acerca da implementação de programas de integridade, que a partir da nova legislação, podem ser obrigatórias a depender da situação ou, ainda, utilizadas de maneira a conceder vantagem às empresas que se valem das práticas de compliance, sendo utilizado como critério de desempate em certames e motivo de atenuação de penalidade em outros casos. Desse modo, havendo previsões na Nova Lei de Licitações de benefícios legais para empresas que tenham implementado programas de integridade, mostra-se relevante também analisar os reflexos dessa disposição legal e os motivos de fundamento do legislador, pontos que serão abordados nesse estudo.
Private autonomy and post-mortem transmissibility of digital assets of existential/hybrid nature
Authors: Jaques Jeferson , Macedo Poli Leonardo
Published: January 2025

The present article aims to evaluate the role played by the concept of private autonomy and the principle of informative self-determination, as encompassed in the LGPD (General Law of Data Protection), regarding the possible transmissibility of digital assets of existential and hybrid nature, which is negated by some part of the doctrine and the digital conglomerates. It was concluded that total intransmissibility based only in contractual terms, adhered through electronic means, comprises of mitigation of an individual’s private autonomy, as well as consisting of tangible influence on an individual’s personality development. In order to develop this article, the method adopted was the hypothetical-deductive approach and the bibliographic research, through books and scientific articles.
Análise crítica do PLC 108/2024 referente a incidência de ITCMD na distribuição desproporcional de dividendos
Authors: Malko Fabio André , Fernandes Tarsila Ribeiro Marques
Published: January 2025

Este artigo examina a possível tributação da partilha desigual de dividendos prevista no Projeto de Lei Complementar (PLC) 108/2024, com ênfase na sua conformidade constitucional, infraconstitucional e nos potenciais impactos para o ambiente empresarial brasileiro. A análise aborda como a tentativa de reclassificar a distribuição desproporcional de dividendos como doação sujeita ao ITCMD pode interferir na autonomia dos sócios e comprometer a segurança jurídica. A metodologia empregada é qualitativa, fundamentada em revisão bibliográfica e análise normativa, com foco nos princípios constitucionais e normas infraconstitucionais O estudo também propõe mecanismos de melhorias ao texto do PLC, sugerindo a definição de critérios claros para a comprovação de justificativas negociais e/ou a inclusão de um dispositivo que suspenda a aplicação do tributo até que uma regulamentação específica seja promulgada. A pesquisa se limita ao contexto interno, examinando exclusivamente os efeitos da tributação de dividendos no território nacional.
Combatting unethical behavior in international commercial arbitration: how game theory can help tackle guerrilla tactics
Authors: Faria Bruna , Rodrigues Eduardo Bueno , Costa Patricia Ayub da
Published: January 2025

This study analyzes international commercial arbitration and the phenomenon known as 'guerrilla tactics.' These behaviors emerge amidst a paradigm shift within arbitration, moving from a cooperative model to a more litigious one, driven by the entry of new players into the arbitration world. Guerrilla tactics are unethical behaviors that harm or frustrate the arbitral procedure. To understand them, this paper utilizes Robert Axelrod's 'cooperation theory', in which he analyzes non-zero-sum games, specifically the prisoner's dilemma. According to his theory, these behaviors can be considered as acts of non-cooperation because they prevent players from benefitting from arbitration. To solve this problem, Axelrod understands that it is essential to change the values of the game in order for the players to mutually benefit from cooperation. In arbitration, this primarily means creating sanctions for non-cooperative behaviors and educating the new generation about the harmfulness of guerrilla tactics. The reasoning used was deductive, and the research was developed through a bibliographic review of books, articles, and data from official institutions.
Emerging trends in nanofiller composites for aerospace and automobile performance enhancement
Authors: singh Manoj , palaniappan sathish , rangappa sanjay , siengchin suchart
Published: January 2025

Nanofiller composites are gaining considerable interest due to their capacity to change products in the aerospace and automobile sectors. This evaluation discovers the arising patterns and breakthroughs in nanocomposites that boost the essential market's efficiency. Nanoscale bits such as carbon nanotubes (CNT), Nanoclays, and graphene can be integrated into polymer floor coverings to obtain nanocomposites. These nanocomposites significantly improve thermal security, mechanical toughness, and electric connection. Additionally, this evaluation quickly reveals superior production methods consisting of thaw mixing in-situ polymerization and additive production. Secret advancements include functionalizing nanofillers for enhanced dispersion, using crossbreed nanofillers to accomplish cooperating homes, and incorporating clever performances like self-healing and damage noticing. In aerospace, nanofiller composites add to weight decrease, gas performance, and architectural stability. At the same time, in the auto industry, they enhance lorry safety and security, toughness, and power performance. As research study breakthroughs, nanofiller composites are anticipated to play a much more famous duty in driving technology in both markets using high-performance, lightweight remedies for the following generation of transport innovations.
Radio-pathological correlation of ovarian cysts in reproductive age group: An institutional study
Authors: Jayakumar Jayakrishnan , Shanker Swathy , Sekhar Resmi , Kailash Nishi , Raman Rajendran
Published: January 2025

Ovarian cysts that arise in the reproductive age group are mostly benign and regress spontaneously. Functional cysts are common in this age group and can be distinguished from other complex or malignant cysts on ultrasound. Ultrasound (USG) remains the primary screening modality for diagnosis of ovarian cysts and is essential for early diagnosis and management. In this study we aimed to correlate the USG findings with the histopathological diagnosis and to evaluate the common ovarian cysts found in the reproductive age group. This was a retrospective study done by retrieving the histopathological and USG reports of women in the reproductive age group, who had undergone total hysterectomy or oophorectomy. Data was entered in Microsoft Excel and analyzed using SPSS software 22.0. The study showed that the most common ovarian cyst was benign serous cystadenomas with 83 patients diagnosed of the same. This was followed by endometriosis, dermoid cysts and other lesions including benign mucinous cystadenomas, functional cysts, paraovarian cysts, fibroma, dysgerminoma and high-grade epithelial tumor. In the present study, 7.7% (n=19) cases of ovarian lesions greater than 0.5cm in diameter were missed on USG. Implementation of standardized reporting protocol and use of Doppler waveforms along with Ultrasound can help in reducing inter observer variability and provide a more accurate diagnosis.
Atherogenic indices as a predictor of severity in chronic liver disease patients
Authors: Subramanian Kavitha , Rajaragupathy Sujatha
Published: January 2025

Chronic liver disease (CLD) is a significant cause of morbidity and mortality worldwide. Derangements in the lipid profile have been found in chronic liver disease and are prone to develop cardiovascular diseases in the long run. Lipid indices and its association with cardiovascular risk and chronic liver disease severity were studied. After obtaining ethical clearance, medical records of the study population were analyzed. Data was collected of patients admitted to the hospital with chronic liver disease and control group consisted of apparently healthy volunteers selected from the master health check-up department. The study included 512 participants, out of which 256 were chronic liver disease patients and 256 healthy volunteers. Baseline characteristics, lipid profile parameters and the number of days of hospital stay for chronic liver disease patients were noted. Lipid indices were calculated using following formulae: Atherogenic Index of Plasma (AIP) = log Triglyceride/HDLc; Castelli’s Risk Index (CRI-I) = Total cholesterol/HDLc; Castelli’s Risk Index (CRI-II) = LDLc/HDLc; Atherogenic Coefficient (AC) = (Total cholesterol–HDLc)/HDLc; Non-HDL cholesterol (NHC) = Total cholesterol – HDL. The lipid indices were correlated with severity of liver disease assessed by Child-Pugh and MELD scores. Alcohol was the cause in 44% of chronic liver disease patients followed by 18% of patients due to Non-alcoholic Fatty Liver Disease. Mean serum cholesterol, HDL and LDL were significantly low in CLD group. Among atherogenic indices - AC, CR-I and CRI-II were significantly high in CLD group while mean AIP and NHC were high in the control group. Atherogenic indices may serve as a simple and cost-effective predictor of cardiovascular risk and severity of chronic liver diseases.
Peak expiratory flow rate and its variation with respect to gender and anthropometric parameters among subjects of age group 18 to 35 years
Authors: Chakraborty Aparajita , Deka Jyotismita
Published: January 2025

Background:
Pulmonary function tests are done to access the changes in the respiratory system and its functions. Peak expiratory flow rate (PEFR) is the maximal flow which is achieved during the expiration, which is delivered with maximal force. PEFR is considered as the simplest index of pulmonary function. Such study has not been conducted earlier in this region. Similar other prior studies gave varied results regarding influence of BMI and height, weight on PEFR readings.

Aim:
To study the variation of PEFR with respect to the anthropometric parameters among males and females subjects of age group of 18-35 years.

Methods:
This was a cross sectional study, conducted at Silchar Medical College, Department of Physiology, Assam, India. The ethical committee clearance was taken from Institutional Ethical Committee. The subjects with no cardio respiratory disease, non smokers or medicine users that can influence cardio respiratory function were added in the study. PEFR was measured with the subject seated comfortably during the same time of the day for all subjects. Instrument used was Schiller’s Spirovit SP -1 spirometer. Height was recorded using stadiometer and weight was recorded using weighing machine

Results:
Out of total subjects, 52% were males, 48% were females. PEFR was highly significant in males. For height 145-155 cm, PEFR is highly significant in males, for height 160-165 cm, PEFR is significantly high in males. Also, PEFR is significantly higher in overweight males.

Conclusion:
PEFR is higher in males than females subjects, in all age groups. The effect of height, age, weight, BMI on PEFR have all been discussed.
Assessment of healing effectiveness of topical platelet-derived growth factor versus placental extract in diabetic foot ulcer: A randomized clinical trial in a tertiary care hospital in the eastern zone of India
Authors: De Bishnupada , Baske Anupam , Hussain Fasahat , Mandal Partha
Published: January 2025

Background:
Globally about 370 million people have diabetes mellitus and 25% of total diabetic patients develop a diabetic foot ulcers (DFU) during their lifetime. If early and proper intervention not taken DFU can rapidly deteriorate, may leads to amputation of the affected limb. Human derived placental extract is available in India at affordable cost and knowing it’s safety profile we planned to conduct a prospective study to compare the effectiveness of topical platelet derived growth factor (PDGF) and placental extract in DFU.

Aim:
The aim of our study was to compare the healing effectiveness of topical application PDGF and placental extract in diabetic foot ulcer of Indian patients.

Methods:
This Randomized clinical trial was conducted in a tertiary care teaching hospital. Total 55 type 2 diabetes mellitus patients having DFU with Wagner Grade I & II were selected in the study. After randomization 28 patients were included in group A and 27 patient in group B. DFU of group A patients were treated with topical application of PDGF and group B patients with human placental extract. After 8 weeks of treatment ulcer area, depth of ulcer, appearance of granulation tissue and mature collagen tissue of all the participants of both groups were evaluated.

Results:
From our study we observed that there were more reduction of ulcer area and ulcer depth in patients receiving PDGF gel than the patients receiving human placental extract (p < 0.05). More over appearance of granulation tissue and mature collagen tissue were significantly more in patients receiving PDGF than the patients receiving human placental extract (p < 0.05).

Conclusion:
PDGF is better option than placental extract gel for topical application in case of treatment of DFU.
A Comprehensive Guide to Interpreting Quality of Life in Elderly patients with Controlled and Uncontrolled Diabetes
Authors: Hussain Mohd , Hussain Sartaj , Jakhar Arun , Usman Kauser , Sawlani K , Khattri Sanjay
Published: January 2025

Background: Because old adults with Type 2 diabetes are associated with an increase in mortality and complications when compared to young diabetics and non-diabetic people of the same age group, the elderly are at a high risk for this condition. Diabetes affected nearly 19 million people in 2010, accounting for 26.9% of all those in this age range. The most important factor in determining a person's level of health is their quality of life (QOL).
Aim and Objectives: The aims of this study are to determine the Quality of Life (QOL) in controlled and uncontrolled geriatric type 2 diabetes mellitus patients receiving antidiabetic drug therapy using the World Health Organization Quality of Life – BREF (WHOQOL-BREF) and Appraisal of Diabetes Scale (ADS) questionnaire.
Materials and Methods: This prospective, cross-sectional, observational study began following ethical approval. The study covered 182 patients. Categorical data were compared using the chi-square test, whilst normally distributed continuous data were examined using the unpaired t-test. The odd ratios for quality-of-life impairment were determined using univariate binary logistic regression analysis (QOL).
Results: Across the groups of people with controlled and uncontrolled diabetes, there were significant differences in family structure and marital status (p 0.05). When compared to the group with controlled diabetes (133.55±49.01 and 6.16±0.33) the FPG and HbA1c were considerably higher in the uncontrolled diabetes group (154.73±55.18 and 7.81±1.11). In the two groups, there was a substantially different duration of diabetes mellitus (p=0.004).
Conclusions: There were significant variations in the mean age, HbA1c (%), FPG, and duration of diabetes mellitus and widowed patients between the uncontrolled and controlled diabetes groups, resulting in a reduced quality of life in uncontrolled diabetes patients.