bluuebunny/crossref_metadata_2025 huggingface dataset:
Decomposition Analysis of Carbon Emission Drivers and Peaking Pathways for Key Sectors under China’s Dual Carbon Goals: A Case Study of Jiangxi Province, China
Authors: Jiang Xinjie , Xie Fengjun
Published: July 2024

Clarifying the factors influencing CO2 emissions and their peaking pathways in major sectors holds significant practical importance for achieving regional dual-carbon goals. This paper takes Jiangxi, a less developed demonstration zone in central China, as an example. It pioneeringly combines the LMDI method, Tapio decoupling model, and LEAP model to multi-dimensionally analyze the driving mechanisms, evolution patterns, and dynamic relationships with the economic development of carbon emissions in Jiangxi’s key sectors from 2007 to 2021. It also explores the future carbon emission trends and peaking potentials of various sectors under different scenarios. Our results show that (1) Carbon emissions in various sectors in Jiangxi have continued to grow over the past fifteen years, and although some sectors have seen a slowdown in emission growth, most still rely on traditional fossil fuels; (2) Economic growth and industrial structure effects are the main drivers of carbon emission increases, with a general trend towards decoupling achieved across sectors, while agriculture, forestry, animal husbandry and fishery, and ferrous metal smelting have shown a decline in their decoupling status; (3) In the carbon reduction and low-carbon scenarios, the carbon emission peaks in Jiangxi are estimated to be 227.5 Mt and 216.4 Mt, respectively, and targeted strategies for high-emission industries will facilitate a phased peak across sectors and enhance emissions reduction benefits. This has significant reference value for the central region and even globally in formulating differentiated, phased, sector-specific carbon peaking plans, and exploring pathways for high-quality economic development in tandem with ecological civilization construction.
Exploring Virtual Fashion Consumption through the Emotional Three-Level Theory: Reflections on Sustainable Consumer Behavior
Authors: Deng Yajuan , Shen Haina , Ji Xiaofen
Published: July 2024

The fast fashion industry has been widely criticized for its substantial consumption of resources and significant environmental pollution. In contrast, virtual fashion clothes are attracting attention from consumers and academics for their notable sustainability benefits and potential for fashion innovation. However, research on consumer acceptance of virtual clothes and the role of sustainability remains limited. This study aims to fill this gap by applying the Emotional Three-Level Theory to identify key virtual fashion attributes, including aesthetic, reality, personalization, presentation, sustainability, and inclusivity features, and evaluating their impact on acceptance using the Technology Acceptance Model (TAM). A survey of 503 Generation Z consumers in China, analyzed through structural equation modeling, reveals that perceived enjoyment, usefulness, and ease of use significantly influence the intention to adopt virtual fashion clothes. Aesthetic and realistic features enhance enjoyment, while personalization and presentation improve usefulness and ease of use. Sustainability features positively impact all three factors, promoting consumer acceptance. These findings offer theoretical insights for virtual fashion research and practical guidance for the fashion industry to leverage virtual technologies for environmental sustainability. Notably, the study emphasizes the potential of virtual clothes in promoting sustainable development in the fashion industry.
The Distribution of the Economic Impacts of Sustainable Regional Transport Policies
Authors: Prior Filipe Rita , Heath Andrew , McCullen Nick
Published: July 2024

In response to current environmental, social and accessibility challenges in the mobility sector, this research focuses on promoting the development of integrated sustainable regional transport policies, supported by a thorough analysis of their distributed economic impacts. This is fulfilled with the development of a new GIS-supported extension of a comprehensive methodology that is currently used for appraising local transport interventions. To illustrate the inputs and outputs of the expanded approach, a regional case study was simulated, highlighting the potential for this methodology to assist in (1) optimising the financial balance between electrification and modal-shift strategies, (2) anticipating and analysing the multiple economic impacts of multimodal transport services (e.g., Mobility as a Service) and (3) understanding how equal the benefits of these policies are across the region. This research will provide novel contributions to the field of transport research and policy development by introducing a comprehensive methodology that quantifies and maps the distributed economic impacts of regional transport policies. This will, consequently, enable the economic outputs of these policies to be easily visualised, analysed and shared with mobility stakeholders, fostering a better understanding of their urban–rural distribution, and promoting the strategic development of sustainable and equitable regional transport systems.
Symmetry-Optimized Dynamical Analysis of Optical Soliton Patterns in the Flexibly Supported Euler–Bernoulli Beam Equation: A Semi-Analytical Solution Approach
Authors: Umer Muhammad , Olejnik Paweł
Published: July 2024

This study employs spatial optimization principles to investigate the nonlinear vibration of a flexibly supported Euler–Bernoulli beam, a (1 + 1)-dimensional system subjected to axial loads. The modified Khater method, a crucial tool in mechanical engineering, is utilized to analyze analytical solutions, which include a symmetric spatial representation of the waveform as an integral part of each solution. Notably, periodic soliton solutions for the nonlinear model closely align with numerical and approximate analytical solutions, demonstrating the accuracy of our modeling approach. Density diagrams, contour diagrams, and Poincaré maps depicting the obtained analytical solutions are presented to elucidate their accuracy and provide visual confirmation of the optimized engineering model’s physical significance. The planar dynamical system is derived through the Galilean transformation by employing mathematical models and appropriate parameter values, thereby further refining problem understanding. Sensitivity analysis is conducted, and phase portraits with equilibrium points are illustrated by analyzing a special case of the investigated dynamical system, emphasizing its symmetrical properties. Lastly, we perform a global analysis to identify periodic, quasi-periodic, and chaotic behaviors, with an extra weak forcing term confirmed by Poincaré maps and a two-dimensional symmetric basin of the largest Lyapunov exponent.
Approaching the Conformal Limit of Quark Matter with Different Chemical Potentials
Authors: Brown Connor , Dexheimer Veronica , Jacobsen Rafael Bán , Farias Ricardo Luciano Sonego
Published: July 2024

We study in detail the influence of different chemical potentials (baryon, electric charge, strange, and neutrino) on how and how fast a free gas of quarks in the zero-temperature limit reaches the conformal limit. We discuss the influence of non-zero masses, the inclusion of leptons, and different constraints, such as charge neutrality, zero-net strangeness, and fixed lepton fraction. We also investigate for the first time how the symmetry energy of the system under some of these conditions approaches the conformal limit. We find that the inclusion of all quark masses (even the light ones) can produce different results depending on the chemical potential values or constraints assumed. A positive or negative deviation of 10% from the pressure of free massless quarks with the same chemical potential was found to take place as low as μB=77 to as high as 48,897 MeV. This illustrates the fact that the “free” or conformal limit is not a unique description. Finally, we briefly discuss what kind of corrections are expected from perturbative QCD as one goes away from the conformal limit.
Non-Weight Modules over the N = 1 Heisenberg–Virasoro Superalgebra
Authors: Dilxat Munayim , Liu Dong
Published: July 2024

In this paper, we mainly study free U(h)-modules over the N=1 Heisenberg–Virasoro superalgebra. We construct a family of non-weight modules that are free of rank 2 when regarded as modules over the Cartan subalgebra. Moreover, we classify the free U(h)-modules of rank 2 over the N = 1 Heisenberg–Virasoro superalgebra and provide the necessary and sufficient conditions for such g-modules to be isomorphic.
A Reappraisal of Lagrangians with Non-Quadratic Velocity Dependence and Branched Hamiltonians
Authors: Bagchi Bijan , Ghosh Aritra , Znojil Miloslav
Published: July 2024

Time and again, non-conventional forms of Lagrangians with non-quadratic velocity dependence have received attention in the literature. For one thing, such Lagrangians have deep connections with several aspects of nonlinear dynamics including specifically the types of the Liénard class; for another, very often, the problem of their quantization opens up multiple branches of the corresponding Hamiltonians, ending up with the presence of singularities in the associated eigenfunctions. In this article, we furnish a brief review of the classical theory of such Lagrangians and the associated branched Hamiltonians, starting with the example of Liénard-type systems. We then take up other cases where the Lagrangians depend on velocity with powers greater than two while still having a tractable mathematical structure, while also describing the associated branched Hamiltonians for such systems. For various examples, we emphasize the emergence of the notion of momentum-dependent mass in the theory of branched Hamiltonians.
An Enhanced Tunicate Swarm Algorithm with Symmetric Cooperative Swarms for Training Feedforward Neural Networks
Authors: Du Chengtao , Zhang Jinzhong
Published: July 2024

The input layer, hidden layer, and output layer are three models of neural processors that comprise feedforward neural networks. In this paper, an enhanced tunicate swarm algorithm based on a differential sequencing alteration operator (ETSA) with symmetric cooperative swarms is presented to train feedforward neural networks. The objective is to accomplish minimum classification errors and the most appropriate neural network layout by regulating the layers’ connection weights and neurons’ deviation thresholds according to the transmission error between the anticipated input and the authentic output. The TSA mimics jet motorization and swarm scavenging to mitigate directional collisions and to maintain the greatest solution that is customized and regional. However, the TSA exhibits the disadvantages of low computational accuracy, a slow convergence speed, and easy search stagnation. The differential sequencing alteration operator has adaptable localized extraction and search screening to broaden the identification scope, enrich population creativity, expedite computation productivity, and avoid search stagnation. The ETSA integrates exploration and exploitation to mitigate search stagnation, which has sufficient stability and flexibility to acquire the finest solution. The ETSA was distinguished from the ETTAO, EPSA, SABO, SAO, EWWPA, YDSE, and TSA by monitoring seventeen alternative datasets. The experimental results confirm that the ETSA maintains profound sustainability and durability to avoid exaggerated convergence, locate the acceptable transmission error, and equalize extraction and prospection to yield a faster convergence speed, superior calculation accuracy, and greater categorization accuracy.
Simulation Analysis of Artificial Intelligence Technology Diffusion under Market Competition and Policy Incentives Based on Complex Network Evolutionary Game Models
Authors: Ma Xiaofei , Wang Jia
Published: July 2024

The relationship network between enterprises will change their adoption behavior of AI technology and this micro-decision-making mechanism will eventually decide whether AI technology can diffuse and the extent of diffusion on the macro level. However, the existing AI technology diffusion research mostly focuses on the integration of AI technology with other industries from the industrial level, ignoring the complexity of the micro-complex game process and interactions within the enterprise network on the macro technology diffusion. In this regard, this paper builds a game model of AI technology diffusion in core and non-core enterprises from the levels of market competition and policy incentives based on complex network evolutionary game theory. It does this through simulation analysis that examines the mechanism of key factors affecting the diffusion of AI technology, as well as the influence and combination effects of pertinent policies. The study shows that (1) AI technology diffuses more effectively in non-core enterprises than it does in core enterprises; (2) changes in parameters like technology cost and policy regimes have a more evident impact on core enterprises than non-core ones; (3) in market competition, increasing the network average degree, the proportion of AI technology products in the mainstream market, the opportunity cost, the cost reduction factor, or decreasing the cost of AI technology can all promote the diffusion of AI technology; (4) under policy incentives, increasing the proportion of AI technology subsidies and the influence of high-tech identification of enterprises can both promote the diffusion of AI technology.
Discovering Data Domains and Products in Data Meshes Using Semantic Blueprints
Authors: Pingos Michalis , Andreou Andreas S.
Published: July 2024

Nowadays, one of the greatest challenges in data meshes revolves around detecting and creating data domains and data products for providing the ability to adapt easily and quickly to changing business needs. This requires a disciplined approach to identify, differentiate and prioritize distinct data sources according to their content and diversity. The current paper tackles this highly complicated issue and suggests a standardized approach that integrates the concept of data blueprints with data meshes. In essence, a novel standardization framework is proposed that creates data products using a metadata semantic enrichment mechanism, the latter also offering data domain readiness and alignment. The approach is demonstrated using real-world data produced by multiple sources in a poultry meat production factory. A set of functional attributes is used to qualitatively compare the proposed approach to existing data structures utilized in storage architectures, with quite promising results. Finally, experimentation with different scenarios varying in data product complexity and granularity suggests a successful performance.
Wormhole Restrictions from Quantum Energy Inequalities
Authors: Kontou Eleni-Alexandra
Published: July 2024

Wormhole solutions, bridges that connect different parts of spacetime, were proposed early in the history of General Relativity. Soon after, it was shown that all wormholes violate classical energy conditions, which are non-negativity constraints on contractions of the stress–energy tensor. Since these conditions are violated by quantum fields, it was believed that wormholes can be constructed in the context of semiclassical gravity. But negative energies in quantum field theory are not without restriction: quantum energy inequalities (QEIs) control renormalized negative energies averaged over a geodesic. Thus, QEIs provide restrictions on the construction of wormholes. This work is a review of the relevant literature, thus focusing on results where QEIs restrict traversable wormholes. Both ‘short’ and ‘long’ (without causality violations) wormhole solutions in the context of semiclassical gravity are examined. A new result is presented on constraints on the Maldacena, Milekhin, and Popov ‘long’ wormhole from the recently derived doubled smeared null energy condition.
Leveraging Life Cycle Assessment and System Dynamics Model Analysis for an Integrated Household E-Waste Management System in Yaoundé, Cameroon
Authors: Esopere Yannick , Yabar Helmut , Mizunoya Takeshi , Richards Delmaria
Published: July 2024

Electronic waste (E-waste) is a global environmental issue and a contemporary challenge in developing countries, where implementing sustainable E-waste management policies is required to mitigate the adverse impacts of inappropriate treatment and disposal. This study assesses the environmental and human health impacts of the current E-waste management system in Yaoundé. The study then proposes an integrated E-waste management system (IEMS) with policy instruments for increased formal E-waste collection and reduced environmental impacts from informal E-waste treatment. Life cycle assessment (LCA) was utilized to identify high-impact contributing processes within the current E-waste management system (EMS) and to determine the optimum scenario for an integrated system. The system dynamics model (SDM) analysis ascertained the efficiency of the E-waste policy under the IEMS. Results show that the IEMS can reduce global warming potential, fine particulate matter formation, and human carcinogenic toxicity from one ton of E-waste treatment by 27%, 16.3%, and 34%, respectively. Regarding the policy efficiency simulation for the IEMS, the policy instrument (Policy 1), with levies on electronic appliance producers, proved environmentally efficient in reducing the quantity of informal recycling. It was also more economically viable for the recycling fund to increase formal E-waste collection and subsidize formal treatment within the context of the IEMS. The study outcome is informative for E-waste management policy planning in developing economies.
Probenecid Inhibits Human Metapneumovirus (HMPV) Replication In Vitro and in BALB/c Mice
Authors: Bergeron Harrison C. , Crabtree Jackelyn , Nagy Tamas , Martin David E. , Tripp Ralph A.
Published: July 2024

Human metapneumovirus (HMPV) is an important cause of acute respiratory tract infection and causes significant morbidity and mortality. There is no specific antiviral drug to treat HMPV or vaccine to prevent HMPV. This study determined if probenecid, a host-targeting antiviral drug, had prophylactic (pre-virus) or therapeutic (post-virus) efficacy to inhibit HMPV replication in LLC-MK2 cells in vitro and in the lungs of BALB/c mice. This study showed that ≥0.5 μM probenecid significantly inhibited HMPV replication in vitro, and 2–200 mg/kg probenecid prophylaxis or treatment reduced HMPV replication in BALB/c mice.
Immuno-Haematologic Aspects of Dengue Infection: Biologic Insights and Clinical Implications
Authors: Cherie Tan Jiao Jie , Choong Clarice Shi Hui , Abid Muhammad Bilal , Weber Matthew W. , Yap Eng Soo , Seneviratne Suranjith L. , Abeysuriya Visula , de Mel Sanjay
Published: July 2024

Dengue infection is caused by the dengue virus (DENV) and is transmitted to humans by infected female Aedes aegypti and Aedes albopictus mosquitoes. There are nearly 100 million new dengue cases yearly in more than 120 countries, with a five-fold increase in incidence over the past four decades. While many patients experience a mild illness, a subset suffer from severe disease, which can be fatal. Dysregulated immune responses are central to the pathogenesis of dengue, and haematologic manifestations are a prominent feature of severe disease. While thrombocytopaenia and coagulopathy are major causes of bleeding in severe dengue, leucocyte abnormalities are emerging as important markers of prognosis. In this review, we provide our perspective on the clinical aspects and pathophysiology of haematologic manifestations in dengue. We also discuss the key gaps in our current practice and areas to be addressed by future research.
Evaluation of Non-Invasive Sampling Techniques for the Molecular Surveillance of Equid Herpesviruses in Yearling Horses
Authors: Khan Amjad , Olajide Edward , Friedrich Madeline , Holt Anna , Goehring Lutz S.
Published: July 2024

Background: Equid alphaherpesvirus 1 (EHV-1) is a highly contagious respiratory tract pathogen of horses, and infection may be followed by myeloencephalopathy or abortion. Surveillance and early detection have focused on PCR assays using less tolerated nasal swabs. Here, we assess non-invasive non-contact sampling techniques as surveillance tools in naturally equid gammaherpesvirus 2-shedding horses as surrogates for EHV-1. Methods: Horses were individually housed for 10 h periods on 2 consecutive days. Sampling included nasal swabs, nostril wipes, environmental swabs, droplet-catching devices, and air sampling. The latter was completed via two strategies: a combined air sample collected while going from horse to horse and a collective air sample collected at a stationary central point for 6 h. Samples were screened through quantitative PCR and digital PCR. Results: Nine horses on day 1 and 11 horses on day 2 were positive for EHV-1; overall, 90.9% of the nostril wipes, 81.8% of the environmental surfaces, and 90.9% of the droplet-catching devices were found to be positive. Quantitative analysis showed that the mean DNA copies detection per cm2 of nostril wipe sampled concentration (4.3 × 105 per day) was significantly (p < 0.05) comparable to that of nasal swabs (3.6 × 105 per day) followed by environmental swabs (4.3 × 105 per day) and droplet catchers (3.5 × 103 per day), respectively. Overall, 100% of the air samples collected were positive on both qPCR and dPCR. In individual air samples, a mean concentration of 1.0 × 104 copies of DNA were detected in per m3 air sampled per day, while in the collective air samples, the mean concentration was 1.1 × 103. Conclusions: Environmental samples look promising in replacing direct contact sampling. Environmental and air sampling could become efficient surveillance tools at equestrian events; however, it needs threshold calculations for minimum detection levels.
Plant-Produced Chimeric Hepatitis E Virus-like Particles as Carriers for Antigen Presentation
Authors: Mardanova Eugenia S. , Vasyagin Egor A. , Kotova Kira G. , Zahmanova Gergana G. , Ravin Nikolai V.
Published: July 2024

A wide range of virus-like particles (VLPs) is extensively employed as carriers to display various antigens for vaccine development to fight against different infections. The plant-produced truncated variant of the hepatitis E virus (HEV) coat protein is capable of forming VLPs. In this study, we demonstrated that recombinant fusion proteins comprising truncated HEV coat protein with green fluorescent protein (GFP) or four tandem copies of the extracellular domain of matrix protein 2 (M2e) of influenza A virus inserted at the Tyr485 position could be efficiently expressed in Nicotiana benthamiana plants using self-replicating vector based on the potato virus X genome. The plant-produced fusion proteins in vivo formed VLPs displaying GFP and 4M2e. Therefore, HEV coat protein can be used as a VLP carrier platform for the presentation of relatively large antigens comprising dozens to hundreds of amino acids. Furthermore, plant-produced HEV particles could be useful research tools for the development of recombinant vaccines against influenza.
A Systematic Review of Human Papillomavirus Vaccination Challenges and Strategies to Enhance Uptake
Authors: Tobaiqy Mansour , MacLure Katie
Published: July 2024

Human papillomavirus (HPV) vaccination has revolutionized cervical cancer prevention. Clinical trials confirm that the quadrivalent (HPV types 6, 11, 16, 18) and bivalent (HPV types 16, 18) vaccines effectively prevent HPV infections and cervical neoplasia. The latest HPV vaccine protects against nine virus types responsible for 90% of cervical cancer cases globally. Despite their undoubted effectiveness in reducing morbidity and mortality associated with HPV infections, challenges in vaccine coverage and uptake persist. The current study aimed to identify the primary challenges associated with HPV vaccination, propose effective strategies to improve vaccination uptake, and compile relevant evidence into a comprehensive overview to inform policy and practice. A systematic review protocol, following PRISMA-P and PRISMA guidelines, was established. Articles were sourced from the Web of Science using keywords from a comprehensive review of HPV vaccination challenges and strategies. Studies published between 1 January 2020, and 1 May 2024, including RCTs and observational, qualitative, and cross-sectional studies, were included, while reviews, protocols, and commentaries were excluded. Titles, abstracts, and full texts were screened per PRISMA guidelines. The review identified five key strategies to improve HPV vaccination uptake: parental and school engagement, use of technology and multimedia tools, healthcare providers’ role, multicomponent interventions, and targeted interventions for immigrant groups. This review emphasized the need for a multifaceted approach to improving vaccination rates, offering a robust foundation for policy and stakeholder initiatives.
SARS-CoV-2-Vaccine-Related Endocrine Disorders: An Updated Narrative Review
Authors: Ishay Avraham , Oleinikov Kira , Chertok Shacham Elena
Published: July 2024

The emergence of the COVID-19 pandemic has led to the rapid and worldwide development and investigation of multiple vaccines. While most side effects of these vaccines are mild and transient, potentially severe adverse events may occur and involve the endocrine system. This narrative review aimed to explore the current knowledge on potential adverse endocrine effects following COVID-19 vaccination, with thyroid disorders being the most common. Data about pituitary, adrenal, diabetes, and gonadal events are also reviewed. This review also provides a comprehensive understanding of the pathogenesis of endocrine disorders associated with SARS-CoV-2 vaccines. PubMed/MEDLINE, Embase database (Elsevier), and Google Scholar searches were performed. Case reports, case series, original studies, and reviews written in English and published online up to 31 August 2023 were selected and reviewed. Data on endocrine adverse events of SARS-CoV-2 vaccines are accumulating. However, their causal relationship with COVID-19 vaccines is not strong enough to make a definite conclusion, and further studies are needed to clarify the pathogenesis mechanisms of the endocrine disorders linked to COVID-19 vaccines.
Green Infrastructure Microbial Community Response to Simulated Pulse Precipitation Events in the Semi-Arid Western United States
Authors: Hastings Yvette D. , Smith Rose M. , Mann Kyra A. , Brewer Simon , Goel Ramesh , Hinners Sarah Jack , Shah Jennifer Follstad
Published: July 2024

Processes driving nutrient retention in stormwater green infrastructure (SGI) are not well quantified in water-limited biomes. We examined the role of plant diversity and physiochemistry as drivers of microbial community physiology and soil N dynamics post precipitation pulses in a semi-arid region experiencing drought. We conducted our study in bioswales receiving experimental water additions and a montane meadow intercepting natural rainfall. Pulses of water generally elevated soil moisture and pH, stimulated ecoenzyme activity (EEA), and increased the concentration of organic matter, proteins, and N pools in both bioswale and meadow soils. Microbial community growth was static, and N assimilation into biomass was limited across pulse events. Unvegetated plots had greater soil moisture than vegetated plots at the bioswale site, yet we detected no clear effect of plant diversity on microbial C:N ratios, EEAs, organic matter content, and N pools. Differences in soil N concentrations in bioswales and the meadow were most directly correlated to changes in organic matter content mediated by ecoenzyme expression and the balance of C, N, and P resources available to microbial communities. Our results add to growing evidence that SGI ecological function is largely comparable to neighboring natural vegetated systems, particularly when soil media and water availability are similar.
An Obstacle Avoidance Trajectory Planning Methodology Based on Energy Minimization (OTPEM) for the Tilt-Wing eVTOL in the Takeoff Phase
Authors: Zheng Guangyu , Li Peng , Wu Dongsu
Published: July 2024

Electric tilt-wing flying cars are an efficient, economical, and environmentally friendly solution to urban traffic congestion and travel efficiency issues. This article addresses the high energy consumption and obstacle interference during the takeoff phase of the tilt-wing eVTOL (electric Vertical Takeoff and Landing), proposing a trajectory planning method based on energy minimization and obstacle avoidance. Firstly, based on the dynamics analysis, the relationship between energy consumption, spatial trajectory, and obstacles is sorted out and the decision variables for the trajectory planning problem with obstacle avoidance are determined. Secondly, based on the power discretization during the takeoff phase, the energy minimization objective function is established and the constraints of performance limitations and spatial obstacles are derived. Thirdly, by integrating the optimization model with the SLSQP (Sequential Least Squares Quadratic Programming algorithm), the second-order sequential quadratic programming model and decision variable update equations are derived, establishing the solution process for the trajectory planning problem of the tilt-wing eVTOL takeoff with obstacle avoidance. Finally, the Airbus Vahana A3 is taken as an example to verify and validate the effectiveness, stability, and robustness of the model and optimization algorithm proposed. The validation results show that the OTPEM (obstacle avoidance trajectory planning methodology based on energy minimization) can effectively handle changes in the takeoff end state and exhibits good stability and robustness in different obstacle environments. It can provide a certain reference for the three-dimensional obstacle avoidance trajectory planning of Airbus Vahana A3 and other tilt-wing eVTOL trajectory planning problems.
The origins of business ethics and management
Authors: Морозов В.А. , Маршев В.И.
Published: July 2024

Последовательно изучены исторические периоды, когда различные философы и мыслители вносили свой вклад в развитие этики хозяйствования и управления. Раскрыты существующие сегодня теории и подходы к этике в бизнесе, включая корпоративную социальную ответственность, устойчивое развитие, этическое лидерство и другие. Представлены основные истоки и принципы этики хозяйствования и управления. Обоснована совместимость принципов и критериев в этике хозяйствования и управления. Составлены основные условия для осуществления этики в хозяйствовании и управлении, а также обозначены современные пути развития этики управления.

The historical periods when various philosophers and thinkers contributed to the development of business ethics and management have been consistently studied. The existing theories and approaches to ethics in business, including corporate social responsibility, sustainable development, ethical leadership, and others, are revealed. The main origins and principles of business ethics and management are presented. The compatibility of principles and criteria in the ethics of management and management is substantiated. The basic conditions for the implementation of ethics in management and management are drawn up, as well as modern ways of developing management ethics are outlined.
About the efficiency limits of strategic planning methods in public administration and ways to overcome them. Part 2
Authors: Зубенко А.В.
Published: July 2024

Внешняя среда всегда оказывала влияние на формирование подходов к стратегическому государственному планированию и управлению. Цикличность мировых экономических процессов, с одной стороны, создает условно воспроизводимую и потому предсказуемую модель внешней среды, но с другой стороны, эта среда динамически неопределенна, и методами преодоления этой неопределенности являются инструменты стратегического прогнозирования, планирования и стратегирования. Предлагаемая статья является второй в цикле статей о пределах эффективности методов стратегического планирования в государственном управлении и посвящена изучению зарубежного опыта проектной деятельности, а также рассмотрению условий создания и реализации стратегических замыслов.

The external environment has always influenced the formation of approaches to strategic government planning and management. The cyclical nature of global economic processes, on the one hand, creates a conditionally reproducible and therefore predictable model of the external environment, but on the other hand, this environment is dynamically uncertain, and methods for overcoming this uncertainty are tools of strategic forecasting, planning and strategizing. This article is the second in a series of articles on the limits of the effectiveness of strategic planning methods in public administration and is devoted to the study of foreign experience in project activities, as well as consideration of the conditions for the creation and implementation of strategic plans.
The use of regression models in forecasting government revenues
Authors: Борисова О.В.
Published: July 2024

Стремительная трансформация экономических процессов, политическая нестабильность, сильное санкционное давление выводят на первый план вопросы, связанные с прогнозированием размера бюджетных доходов. Выявление моделей, позволяющих оперативно и с высокой степенью вероятности провести расчеты, становится объективной необходимостью. Цель исследования состоит в определении перечня регрессионных моделей, которые целесообразно использовать для оперативного прогнозирования бюджетных доходов. Для ее реализации были выявлены наиболее часто используемые модели регрессионного анализа, проведено их сравнение, определены прогностические модели. Исследование базировалось на следующих методах: общенаучные, сравнения, измерения, сопоставления. В результате уточнен перечень корреляционно-регрессионных моделей, которые целесообразно использовать в прогностических целях, выявлены их достоинства, недостатки, особенности, уточнены основные предикторы и форма связи.

The rapid transformation of economic processes, political instability, and strong sanctions pressure bring to the fore issues related to forecasting the size of budget revenues. The identification of models that make it possible to carry out calculations quickly and with a high degree of probability becomes an objective necessity. The purpose of the study is to determine the list of regression models that it is advisable to use for operational forecasting of budget revenues. To implement it, the most frequently used regression analysis models were identified, their comparison was carried out, and predictive models were determined. The research was based on the following methods: general scientific, comparisons, measurements, comparisons. As a result, the list of correlation and regression models that are advisable to use for predictive purposes has been clarified, their advantages, disadvantages, features have been identified, the main predictors and the form of communication have been clarified.
Vínculo de un grupo de jóvenes con su el espacio habitado durante la pandemia
Authors: Cardona Castaño Juan Camilo
Published: July 2024

La pandemia mundial brindó la oportunidad de reflexionar sobre el territorio y la existencia humana. El propósito de esta investigación fue explorar la relación con el espacio habitado desde la perspectiva de jóvenes de 15 a 17 años en situación de vulnerabilidad durante la pandemia. Para ello, se empleó un enfoque metodológico de investigación cualitativa con 26 jóvenes, precedido por una inmersión en campo, talleres participativos y diálogos de saberes. Se utilizó un mapa participativo como herramienta adicional. Los resultados revelaron que el espacio habitado adquirió importancia para los jóvenes durante la pandemia, al convertirse en un refugio que les permitió conectarse con la naturaleza y experimentar nuevas sensaciones, como sonidos, disfrutar del paisaje y disfrutar de la naturaleza. Reconocieron que, antes de la crisis sanitaria, este lugar carecía de valor para ellos, pero la pandemia los llevó a reconsiderarlo como un sitio de protección que los hizo sentir menos vulnerables. Aunque el objetivo se alcanzó parcialmente debido a las incertidumbres de la salud pública a nivel global, los participantes transformaron su percepción del espacio, generando un nuevo significado que fortaleció sus habilidades individuales para afrontar la pandemia de COVID-19.
A atuação psicanalítica em instituições de saúde mental
Authors: Alves da Silveira Naiara Regina , Peres Kenia Maisa
Published: July 2024

O presente artigo investigou o profissional que utiliza a abordagem psicanalítica em serviços de saúde mental e seu imaginário sobre a própria atuação, focalizando na visibilidade da utilização da psicanálise em instituições. Trata-se de uma pesquisa qualitativa-exploratória com aplicação de questionário aberto para sete psicólogos que atuam com a prática psicanalítica em serviços de saúde mental de duas cidades paulistas. Para análise de dados foi utilizada a técnica de análise de conteúdo temática. Nos relatos, o desafio mais notório foi a interposição da postura profissional do analista em sua prática com a própria avaliação de seu trabalho, considerando como ele se identifica com a psicanálise, como fundamenta e avalia sua atuação e como se apresenta perante os sujeitos e da instituição, ou seja, como o profissional se relaciona com os inconscientes. Como resultados, foi possível obter quatro unidades temáticas, a saber: 1) “A identificação pela psicanálise: o lugar que a psicanálise ocupa na vida do profissional”; 2) “A teoria junto a prática: que psicanálise é essa?”; 3) “O profissional pelo profissional: construindo sua própria imagem” e 4) “Desafios da prática institucional: as diferentes nuances”. Assim, a prática psicanalítica em instituições é uma área em expansão que merece mais pesquisas. A prática também apresentou aceitação entre os profissionais envolvidos, destacando que o imaginário coletivo do próprio profissional sobre sua atuação pode influenciar em sua postura psicanalítica na instituição.
A percepção de estresse, bem-estar e ambiente de trabalho nas regiões sudeste e norte do Brasil
Authors: Benzoni Paulo Eduardo , Rodrigues Brustolin Jean Carlos , Nascimento Melo Junior Sérgio Alberto
Published: July 2024

A percepção de estresse, bem-estar e qualidade do ambiente de trabalho são interdependentes e influenciadas por fatores individuais, econômicos e culturais. Neste estudo, objetivou-se analisar comparativamente a percepção de estresse, bem-estar e ambiente de trabalho nas regiões Norte e Sudeste do Brasil. Participaram 235 trabalhadores, sendo 65,5% mulheres e 34,5% homens, sem filhos (59,1%), com ensino superior (43%), trabalhando em serviços (42,1%) em regime celetista (60,4%). Foram utilizados três instrumentos para avaliar a percepção de estresse, bem-estar e incivilidade no trabalho, de modo on-line. As análises foram realizadas pelo teste t para amostras independentes. Não foram observadas diferenças significativas na percepção de estresse, bem-estar e ambiente de trabalho entre as regiões. Porém, a região Sudeste apresentou médias mais elevadas na percepção de estresse (Sudeste = 1,39; Norte = 1,27) e de incivilidade no trabalho (Sudeste = 0,89; Norte = 0,67) e uma percepção menor de bem-estar (3,49) comparada com a região Norte (3,64). Em alguns itens específicos, o Sudeste apresentou médias significativamente maiores que o Norte (p ≤ 0,05). Os dados sugerem que o ritmo de vida, oportunidades de trabalho e renda, maior risco de desemprego e outros fatores socioeconômicos que diferem nessas regiões, podem estar afetando a percepção e a saúde mental desses trabalhadores.
Percepção e atuação dos profissionais da saúde frente a casos de perda gestacional
Authors: Silva Tonetto Giovana Quadros , Silveira Morim Borges Amanda Cristina , Ramos Cisterna Anah Giulia , Gelfuso Lapenta Vanessa Pedroso , Geraldo Benzoni Selma Aparecida
Published: July 2024

No Brasil, o grande número de perdas gestacionais constitui um grave problema de saúde pública, já que o luto vivenciado por mães e famílias não são validados. A perda gestacional pode contribuir para o desenvolvimento de problemas emocionais que são banalizados pelos profissionais de saúde, que não oferecem suporte adequado e empático. Assim, o objetivo desta pesquisa foi compreender a atuação dos profissionais de saúde, frente à perda gestacional, identificando seus próprios sentimentos, os sentimentos das mulheres e dos familiares, além de atitudes e recursos empregados nessa situação. A pesquisa qualitativa teve caráter descritivo e exploratório, utilizando-se entrevista semiestruturada com dez profissionais da área da saúde que atuam em Ribeirão Preto: cinco enfermeiras, duas psicólogas, duas médicas e uma técnica em enfermagem, todas mulheres; três trabalham em hospitais, uma em domicílio e seis em clínica particular. Agrupou-se os resultados da pesquisa em três categorias: a) Percepção dos sentimentos: profissionais reconhecem a complexidade emocional, abarcando seus próprios sentimentos, os das mulheres e reações familiares. b) Condutas: mesmo enfrentando dificuldades emocionais, buscam um atendimento empático e humanizado. c) Recursos institucionais: há uma notável carência de recursos institucionais, levando os profissionais a preencherem essa lacuna com projetos isolados, porém não institucionalizados. Portanto, é essencial aprimorar a formação dos profissionais de saúde, tanto em termos teóricos quanto práticos, para melhor lidar com desafios emocionais e aprimorar seus atendimentos. Além disso, exige-se maior disponibilidade de recursos institucionais e protocolos que garantam o cuidado humanizado às mães e famílias que enfrentam a perda gestacional.
Compreensão docente sobre imaginar e criar
Authors: Azevedo Maria Nizete , Da Silva Ligia Dias , Souza Priscila Maria
Published: July 2024

Neste trabalho, pautamos a compreensão de um grupo de professoras acerca da imaginação e criação em suas atividades pedagógicas. Os três conceitos basilares do estudo – imaginação, criação e compreensão – são estudados à luz da Teoria Histórico-Cultural, com ênfase em Vigotski, Volóshinov e Bakhtin. A pesquisa foi realizada em uma das escolas que integram um projeto de parceria colaborativa entre universidade e escola. A análise de uma roda de conversa, mediada pela relação diálogo-compreensão, assumida como unidade de análise, permitiu compreender o coletivo docente como um constructo resultante de significações compartilhadas. Tal constructo pronuncia a cultura e a ideologia daquelas professoras e da escola na qual trabalham.  Em seu cotidiano, imaginação e criação traduzem-se no deslocar-se temporalmente e espacialmente pela via da experiência história e alheia; advém de suas experiências pessoais e profissionais, cuja força motriz situa-se na relação e convivência com seus estudantes; essa força motriz  gesta o poder de agir e o de resistir à atividade reprodutiva e as impele à autoria sobre seu trabalho. Supomos que há a busca por um lugar para a imaginação em suas atividades pedagógicas - um lugar de esperança e de resistência!
Gross Hematuria after the COVID-19 mRNA Vaccination: Nationwide Multicenter Prospective Cohort Study in Japan
Authors: Aoki Ryousuke , Nihei Yoshihito , Matsuzaki Keiichi , Suzuki Hitoshi , Kihara Masao , Ogawa Asa , Nishino Tomoya , Sanada Satoru , Yokote Shinya , Okabe Masahiro , Shirai Sayuri , Fukuda Akihiro , Hoshino Junichi , Kondo Daisuke , Yokoo Takashi , Kashihara Naoki , Narita Ichiei , Suzuki Yusuke
Published: July 2024

Key Points

Little is known about the clinicopathological characteristics and renal outcomes in the patients with gross hematuria (GH) after the vaccination.

To fill a clinicopathological knowledge gap regarding vaccination and GH, we conducted a nationwide multicenter prospective cohort study.

GH is more likely to occur in patients with IgA nephropathy, with a female bias, but without progressive exacerbation of renal function.

Background

In the past 3 years, cases of gross hematuria (GH) after the vaccination for coronavirus disease 2019 in patients with IgA nephropathy (IgAN) have been frequently reported worldwide. However, the postevent renal prognosis of these patients, their clinical backgrounds, and underlying mechanisms remain unknown. Therefore, we conducted a nationwide multicenter prospective cohort study in Japan.

Methods

We analyzed laboratory findings at the time of the first presentation to the hospital and 3 and 6 months after in patients with GH after the vaccination and histopathological findings in their kidney biopsy specimens. Moreover, changes in pathological biomarkers of IgAN such as galactose-deficient IgA1 (Gd-IgA1) and its immune complexes were also evaluated.

Results

During the study period, 127 newly presenting patients with GH after the vaccination were enrolled, with a clear female bias (73.2%). GH was observed after the second or subsequent vaccinations in most patients (92.9%). Of the 37 patients undergoing kidney biopsy before the vaccination, 36 patients had been diagnosed with IgAN/IgA vasculitis (IgAV). In the remaining 90 patients, 69 of the 70 who newly underwent kidney biopsy were diagnosed with IgAN (n=67)/IgAV (n=2). Their histopathology did not show a high incidence of acute lesions such as endocapillary hypercellularity and crescentic lesions. Most cases showed a temporary increase in proteinuria, but no sustained worsening in renal function. Among the biomarkers measured, serum Gd-IgA1 and immune complexes were comparable throughout the observation period; however, only urinary Gd-IgA1 was increased at the time of GH.

Conclusions

We found that GH after the vaccination is more likely to occur in patients with IgAN/IgAV, with a female bias, but without progressive exacerbation of renal function. Although further investigation is needed regarding causal relationship between vaccination and GH, this study provides many insights into the molecular mechanisms of GH.