bluuebunny/crossref_metadata_2025 huggingface dataset:
A Gnn-Enhanced Ant Colony Optimization for Security Strategy Orchestration
Authors: Miao Weiwei , Zhao Xinjian , Wang Ce , Chen Shi , Gao Peng , Li Qianmu
Published: September 2024

The expansion of Internet of Things (IoT) technology and the rapid increase in data in smart grid business scenarios have led to a need for more dynamic and adaptive security strategies. Traditional static security measures struggle to meet the evolving low-voltage security requirements of state grid systems under this new IoT-driven environment. By incorporating symmetry in metaheuristic algorithms, we can further improve performance and robustness. Symmetrical properties have the potential to lead to more efficient and balanced solutions, improving the overall stability of the grid. We propose a gnn-enhanced ant colony optimization method for orchestrating grid security strategies, which trains across combinatorial optimization problems (COPs) that are representative scenarios in the state grid business scenarios, to learn specific mappings from instances to their heuristic measures. The learned heuristic metrics are embedded into the ant colony optimization (ACO) to generate the optimal security policy adapted to the current security situation. Compared to the ACO and adaptive elite ACO, our method reduces the average time consumption of finding a path within a limited time in the capacitated vehicle routing problem by 67.09% and 66.98%, respectively. Additionally, ablation experiments verify the effectiveness and necessity of the individual functional modules.
Assessment of the Renewable Energy Consumption Capacity of Power Systems Considering the Uncertainty of Renewables and Symmetry of Active Power
Authors: Ou Kaijian , Gao Shilin , Wang Yuhong , Zhai Bingjie , Zhang Wei
Published: September 2024

The rapid growth of renewable energy presents significant challenges for power grid operation, making the efficient integration of renewable energy crucial. This paper proposes a method to evaluate the power system’s capacity to accommodate renewable energy based on the Gaussian mixture model (GMM) from a symmetry perspective, underscoring the symmetrical interplay between load and renewable energy sources and highlighting the balance necessary for enhancing grid stability. First, a 10th-order GMM is identified as the optimal model for analyzing power system load and wind power data, balancing accuracy with computational efficiency. The Metropolis–Hastings (M-H) algorithm is used to generate sample spaces, which are integrated into power flow calculations to determine the maximum renewable energy integration capacity while ensuring system stability. Short-circuit ratio calculations and N-1 fault simulations validate system robustness under high renewable energy integration. The consistency between the results from the M-H algorithm, Gibbs sampling, and Monte Carlo simulation (MCS) confirms the approach’s accuracy.
Shape-Memory Effect and the Topology of Minimal Surfaces
Authors: Yin Mengdi , Vvedensky Dimitri D.
Published: September 2024

Martensitic transformations, viewed as continuous mappings between triply periodic minimal surfaces (TPMSs), as suggested by Hyde and Andersson (Z. Kristallogr. 1986, 174, 225–236), are extended to include paths between the initial and final phases. Reversible transformations, which correspond to shape-memory materials, occur only if lattice points remain at flat points on a TPMS throughout a continuous transformation. For the shape-memory material NiTi, the density functional calculations by Hatcher et al. [Phys. Rev. B2009, 80, 144203] yield irreversible and reversible paths with and without energy barriers, respectively, in agreement with our theory. Although there are TPMSs for face-centered and body-centered cubic crystals for iron, the deformation between them is not reversible, in agreement with the non-vanishing energy barriers obtained from the density functional calculations of Zhang et al. (RSC Advances2021, 11, 3043–3048).
Resilience Metrics for Socio-Ecological and Socio-Technical Systems: A Scoping Review
Authors: Steinmann Patrick , Tobi Hilde , van Voorn George A. K.
Published: September 2024

An increased interest in the resilience of complex socio-ecological and socio-technical systems has led to a variety of metrics being proposed. An overview of these metrics and their underlying concepts would support identifying useful metrics for applications in science and engineering. This study undertakes a scoping review of resilience metrics for systems straddling the societal, ecological, and technical domains to determine how resilience has been measured, the conceptual differences between the proposed approaches, and how they align with the domains of their case studies. We find that a wide variety of resilience metrics have been proposed in the literature. Conceptually, ten different quantification approaches were identified. Four different disturbance types were observed, including sudden, continuous, multiple, and abruptly ending disturbances. Surprisingly, there is no strong pattern regarding socio-ecological systems being studied using the “ecological resilience” concept and socio-technical systems being studied using the “engineering resilience” concept. As a result, we recommend that researchers use multiple resilience metrics in the same study, ideally following different conceptual approaches, and compare the resulting insights. Furthermore, the used metrics should be mathematically defined, the included variables explained and their units provided, and the chosen functional form justified.
Category Mapping of Emergency Supplies Classification Standard Based on BERT-TextCNN
Authors: Zhang Qiuxia , Hou Hanping , Ju Yingjie , Yuan Jiandong , Zhang Kun , Wang Huanhuan , Chen Junhe
Published: September 2024

In recent years, the escalation in emergency occurrences has underscored the pressing need for expedient responses in delivering essential supplies. Efficient integration and precise allocation of emergency resources under joint government–enterprise stockpiling models are pivotal for enhancing emergency response effectiveness and minimizing economic repercussions. However, current research predominantly focuses on contract coordination and cost-sharing within these joint reserve modes, overlooking significant discrepancies in emergency supply classification standards between government and enterprise sectors, as well as the asymmetry in cross-sectoral and cross-regional supply information. This oversight critically impedes the timeliness and accuracy of emergency supply responses. In practice, manual judgment has been used to match the same materials under differing classification standards between government and enterprise reserves. Still, this approach is inefficient and prone to high error rates. To mitigate these challenges, this study proposes a methodology leveraging the BERT pre-trained language model and TextCNN neural network to establish a robust mapping relationship between these classification criteria. The approach involves abstracting textual representations of both taxonomical classes, generating comparable sentence vectors via average pooling, and calculating cosine similarity scores to facilitate precise classification mapping. Illustrated with China’s Classification and Coding of Emergency Supplies standards and Global Product Classification standards, empirical validation on annotated data demonstrates the BERT-TextCNN model’s exceptional accuracy of 98.22%, surpassing other neural network methodologies such as BERT-CNN, BERT-RNN, BERT-BiLSTM, etc. This underscores the potential of advanced neural network techniques in enhancing emergency supply management across diverse sectors and regions.
Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections
Authors: Plastropoulos Angelos , Bardis Kostas , Yazigi George , Avdelidis Nicolas P. , Droznika Mark
Published: September 2024

Aircraft maintenance is a complex process that requires a highly trained, qualified, and experienced team. The most frequent task in this process is the visual inspection of the airframe structure and engine for surface and sub-surface cracks, impact damage, corrosion, and other irregularities. Automated defect detection is a valuable tool for maintenance engineers to ensure safety and condition monitoring. The proposed approach is to process the captured feedback using various deep learning architectures to achieve the highest performance defect detections. Additionally, an algorithm is proposed to estimate the size of the detected defect. The team collaborated with TUI’s Airline Maintenance Team at Luton Airport, allowing us to fly a drone inside the hangar and use handheld cameras to collect representative data from their aircraft fleet. After a comprehensive dataset was constructed, multiple deep-learning architectures were developed and evaluated. The models were optimized for detecting various aircraft skin defects, with a focus on the challenging task of dent detection. The size estimation approach was evaluated in both controlled laboratory conditions and real-world hangar environments, providing insights into practical implementation challenges.
A New Numerically Improved Transient Technique for Measuring Thermal Properties of Anisotropic Materials
Authors: Malinarič Svetozár , Bokes Peter , Bulatovič Goran
Published: September 2024

A new transient technique of the thermal conductivity and diffusivity measurement for anisotropic materials is presented and validated. It is based on measuring the through-plane properties using the extended dynamic plane source (EDPS) method and in-plane conductivity employing the transient plane source (TPS) and modified dynamic plane source (MDPS) methods. The key advantage of this technique is that only one pair of specimens is required for measurements. While the EDPS method is implemented on real measurements, the TPS and MDPS are applied to the finite elements method (FEM) simulation of the experiment. The accuracy of the results is enhanced by the application of the FEM and is better than 1% for materials with through-plane conductivity of less than 2 W m−1 K−1 and a specimen thickness of 9 mm.
Untargeted Liquid Chromatography–High-Resolution Mass Spectrometry Metabolomic Investigation Reveals Altered Lipid Content in Leishmania infantum Lacking Lipid Droplet Protein Kinase
Authors: Ribeiro Juliana Martins , Canuto Gisele André Baptista , Caldeira Alisson Samuel Portes , de Siqueira Ezequias Pessoa , Zani Carlos Leomar , Murta Silvane Maria Fonseca , de Almeida Alves Tânia Maria
Published: September 2024

Leishmaniasis is a complex disease caused by different species of Leishmania. To date, no vaccine for humans or ideal therapy has been developed owing to the limited efficacy and toxicity of available drugs, as well as the emergence of resistant strains. Therefore, it is necessary to identify novel therapeutic targets and discover therapeutic options for leishmaniasis. In this study, we evaluated the impact of deleting the lipid droplet protein kinase (LDK) enzyme in Leishmania infantum using an untargeted metabolomics approach performed using liquid chromatography and high-resolution mass spectrometry. LDK is involved in lipid droplet biogenesis in trypanosomatids. Thirty-nine lipid metabolites altered in the stationary and logarithmic growth phases were noted and classified into five classes: (1) sterols, (2) fatty and conjugated acids, (3) ceramides, (4) glycerophosphocholine and its derivatives, and (5) glycerophosphoethanolamine and its derivatives. Our data demonstrated that glycerophosphocholine and its derivatives were the most affected after LDK deletion, suggesting that the absence of this enzyme promotes the remodeling of lipid composition in L. infantum, thus contributing to a better understanding of the function of LDK in this parasite.
Prediction of Clinical Trajectory in HCV-Related ACLD after SVR: Role of Liver Stiffness in a 5-Years Prospective Study
Authors: Morisco Filomena , Federico Alessandro , Marignani Massimo , Lombardo Flavia L. , Cossiga Valentina , Ranieri Luisa , Romeo Mario , Cipullo Marina , Begini Paola , Zannella Alessandra , Stroffolini Tommaso
Published: September 2024

The prediction of liver-related events (LRE) after sustained virological response (SVR) in HCV-advanced chronic liver disease (ACLD) patients is crucial. We aimed to evaluate incidence and risk factors of LRE in HCV-cirrhotic patients after SVR and to assess dynamic changes of liver stiffness in participants without LRE at the end of follow-up. We enrolled 575 consecutive patients with HCV-ACLD treated with DAAs and followed up for 5 years after SVR12. Overall, 98 (17%) patients developed any type of event, and HCC was the most frequent LRE. The incidence rate was 1.6 per 100 person-years (p/y) for both HCC and hepatic decompensation. Baseline LSM ≥ 20 kPa was the only independent predictor of hepatic decompensation, while LSM ≥ 20 kPa and male sex were independent predictors of HCC development. Among the 341 participants without LRE and with paired LSM, any LSM reduction was observed in 314 (92.1%), and half of them showed a decrease of LSM ≥ 20%. Among patients without LRE, 27.3% of participants without ≥20% LSM decrease at 2 years achieved the 5-year goal; in contrast, 31.6% of participants with ≥20% LSM decrease at 2 years lost it at 5 years. These findings provide evidence that baseline LSM is a tool to stratify patients at risk of developing LRE; the dynamic changes of LSM value suggest the need for monitoring this parameter over time.
Comparison of Extraction Methods for the Detection of Avian Influenza Virus RNA in Cattle Milk
Authors: Snoeck Chantal J. , Sausy Aurélie , Bourg Manon , Hübschen Judith M.
Published: September 2024

Since early 2024, a multistate outbreak of highly pathogenic avian influenza H5N1 has been affecting dairy cattle in the USA. The influenza viral RNA concentrations in milk make it an ideal matrix for surveillance purposes. However, viral RNA detection in multi-component fluids such as milk can be complex, and optimization of influenza detection methods is thus required. Raw bulk tank milk and mastitis milk samples were artificially contaminated with an avian influenza strain and subjected to five extraction methods. HCoV-229E and synthetic RNA were included as exogenous internal process controls. Given the high viral load usually observed in individual raw milk samples, four out of five tested methods would enable influenza detection in milk with normal texture, over a time window of at least 2 weeks post-onset of clinical signs. Nevertheless, sample dilution 1:3 in molecular transport medium prior to RNA extraction provided the best results for dilution of inhibitory substances and a good recovery rate of influenza RNA, that reached 12.5 ± 1.2% and 10.4 ± 3.8% in two independent experiments in bulk milk and 11.2 ± 3.6% and 10.0 ± 2.9% on two cohorts of mastitis milk samples. We have also shown compatibility of an influenza RT-qPCR system with synthetic RNA detection for simultaneous validation of the RNA extraction and RT-qPCR processes.
Barriers to Childhood Immunisation and Local Strategies in Four Districts in South Africa: A Qualitative Study
Authors: Burnett James Michael , Myende Nqobile , Africa Algernon , Kamupira Mercy , Sharkey Alyssa , Simon-Meyer Janine , Bamford Lesley , Guo Sufang , Padarath Ashnie
Published: September 2024

Introduction: In South Africa over the past 20 years, immunisation has saved countless lives as well as prevented illnesses and disabilities. Despite this, vaccine-preventable illnesses remain a danger. The demand for and uptake of immunisation services are shaped by a variety of factors that can either act as barriers or facilitators to immunisation uptake. The aim of this project was to identify the supply and demand barriers and develop local strategies to improve childhood immunisation in four zero-dose districts in South Africa. Materials and Methods: This study used a mixed-method approach. In each of these four districts, 15 in-depth key informant interviews with health workers and local health managers and four focus group discussions (10 participants per focus group discussion) with community members and caregivers were held over a three-month period. Transcribed interviews were thematically analysed using qualitative analysis software (Nvivo®) into 10 factors as identified as important in influencing immunisation demand and uptake in previous studies. A further four were identified during the data analysis process. Results: Despite the varying role of factors affecting demand and uptake of immunisation services, three consistent findings stand out as major barriers across all districts. The first is interaction with healthcare staff. This clearly highlights the crucial role that the interactions between patients and staff play in shaping perceptions and behaviours related to immunisation services. The second is the overall experience of care at healthcare facilities. This emphasises the role that patient experience of services plays in perceptions and behaviours related to immunisation services. The third is family dynamics. This highlights the important role family dynamics play in shaping individuals’ decisions regarding immunisation uptake as well as the impact it has on the ability of people to access health services. Discussion: The role played by the different factors in the demand and uptake of immunisation services varied across the four districts examined in this study. Each of the districts presents a unique landscape where different factors have varying degrees of importance in affecting the utilisation of immunisation services. In some districts, certain factors are major barriers, clearly hindering the demand and uptake of immunisation services, while in others, these same factors might be a relatively minor barrier. This discrepancy highlights the unique nature of healthcare challenges across the districts and the need for tailored strategy recommendations to address them effectively.
Mitigation of Membrane Fouling in Membrane Bioreactors Using Granular and Powdered Activated Carbon: An Experimental Study
Authors: Morales Nataly , Mery-Araya Camila , Guerra Paula , Poblete Rodrigo , Chacana-Olivares Jaime
Published: September 2024

This experimental study explores the mitigation of membrane fouling in membrane bioreactors (MBRs) through the combined use of granular activated carbon (GAC) and powdered activated carbon (PAC). The research assesses the impact of these materials on the fouling resistance, critical flux, and permeate quality using various mixed liquor suspended solids concentrations and carbon dosages. The results indicate that the GAC-PAC combination significantly reduces the total filtration resistance, particularly the cake layer resistance, by 11.7% to 13.6% compared to setups without activated carbon or with the individual carbon types. The study also reveals that this combination decreased the fouling rate by 15% to 24% at critical flux steps, demonstrating substantial improvements in fouling mitigation and operational efficiency. Furthermore, the GAC-PAC combination, which produces an adsorption process, enhances the permeate quality, achieving the near-complete removal of organic matter, total nitrogen, and turbidity, with total phosphorus removal reaching 99%. These findings demonstrate that the combined use of GAC and PAC not only reduces membrane fouling but also improves the overall MBR performance, making it a viable strategy for enhancing the efficiency of wastewater treatment processes.
Resource Recovery Monitoring and Circular Economy Model in Wastewater
Authors: Kruopienė Jolita , Smol Marzena
Published: September 2024

Pressure on freshwater resources is constantly growing, while wastewater generation is increasing with population growth and industrial activity [...]
The Economic Impact of Water Vulnerability on Corporate Sustainability: A Perspective of Corporate Capital Cost
Authors: Zheng Liyuan , Gao Pengqun , Wang Mengjiao
Published: September 2024

Studies have argued that water risk affects corporate sustainability, but few of them have fully explored whether or not and how water resources have a direct impact on corporate finance and strategy. This study takes the listed companies in the Chinese A-share market from 2019 to 2023 as a sample to understand the threat of water vulnerability to corporate sustainability from the perspective of capital cost. This study argues that water vulnerability positively relates to corporate capital cost by increasing corporate financing constraints. Meanwhile, this study also examines the role of water regulation and water investment in the relationship between water vulnerability and corporate capital cost. Water regulation brings legitimate pressure to corporations and increases the transformation risks faced by them, so it has a positive moderating effect. Water investment can alleviate the vulnerability of local water resources and reduce the physical water risk faced by corporations, so it has a negative moderating effect. The study finds that the two measures mainly play a significant moderating effect on the cost of debt. In addition, the study finds that the positive relationship between water vulnerability and capital cost has industrial and firm-level heterogeneity, while the moderating effect of government water governance has only industrial heterogeneity.
Groundwater Pollution Source and Aquifer Parameter Estimation Based on a Stacked Autoencoder Substitute
Authors: Wang Han , Zhang Jinping , Li Hang , Li Guanghua , Guo Jiayuan , Lu Wenxi
Published: September 2024

A concurrent heuristic search iterative process (CHSIP) is used for estimating groundwater pollution sources and aquifer parameters in this work. Frequent calls to carry out a numerical simulation of groundwater pollution have generated a huge calculated load during the CHSIP. Therefore, a valid means to mitigate this is building a substitute to emulate the numerical simulation at a low calculated load. However, there is a complicated nonlinear correlativity between the import and export of the numerical simulation on account of the large quantity of variables. This leads to a poor approach accuracy of the substitute compared to the simulation when using shallow learning methods. Therefore, we first built a stacked autoencoder substitute, using the deep learning method, to boost the approach accuracy of the substitute compared to the numerical simulation. In total, 400 training samples and 100 testing samples for the substitute were collected by employing the Latin hypercube sampling method and running the numerical simulator. The CHSIP was then employed for estimating the groundwater pollution sources and aquifer parameters, and the estimated outcome was obtained when the CHSIP was terminated. The data analysis, including interval estimation and point estimation, was implemented on the MATLAB platform. A relevant hypothetical case is set to verify our approaches, which shows that the CHSIP is helpful for estimating the groundwater pollution source and aquifer parameters and that the stacked autoencoder method can effectively boost the approach precision of the substitute for the simulator.
Hydrological Connectivity Response of Typical Soil and Water Conservation Measures Based on SIMulated Water Erosion Model: A Case Study of Tongshuang Watershed in the Black Soil Region of Northeast China
Authors: Li Muzi , Wang Bin , Wang Wengang , Chen Zuming , Luo Shenyao
Published: September 2024

The black soil region of Northeast China is the largest commercial grain production base in China, accounting for about 25% of the total in China. In this region, the water erosion is prominent, which seriously threatens China’s food security. It is of great significance to effectively identify the erosion-prone points for the prevention and control of soil erosion on the slope of the black soil region in Northeast China. This article takes the Tongshuang small watershed (Heilongjiang Province in China) as an example, which is dominated by hilly landforms with mainly black soil and terraces planted with corn and soybeans. Based on the 2.5 cm resolution Digital Elevation Model (DEM) reconstructed by unmanned aerial vehicles (UAVs), we explore the optimal resolution for hydrological simulation research on sloping farmland in the black soil region of Northeast China and explore the critical water depth at which erosion damage occurs in ridges on this basis. The results show that the following: (1) Compared with the 2 m resolution DEM, the interpretation accuracy of field roads, wasteland, damaged points, ridges and cultivated land at the 0.2 m resolution is increased by 4.55–27.94%, which is the best resolution in the study region. (2) When the water depth is between 0.335 and 0.359 m, there is a potential erosion risk of ridges. When the average water depth per unit length is between 0.0040 and 0.0045, the ridge is in the critical range for its breaking, and when the average water depth per unit length is less than the critical range, ridge erosion damage occurs. (3) When local erosion damage occurs, the connectivity will change abruptly, and the remarkable change in the index of connectivity (IC) can provide a reference for predicting erosion damage.
Quantile Regression Illuminates the Heterogeneous Effect of Water Quality on Phytoplankton in Lake Taihu, China
Authors: Wang Lu , Liu Shuo , Ma Shuqin , Yang Zhongwen , Chen Yan , Gao Wei , Liu Qingqing , Zhang Yuan
Published: September 2024

Lake Taihu, a subtropical shallow lake in the Yangtze River Basin, is the third-largest freshwater lake in China. It serves not only as a crucial source of drinking water and an ecological resource but also holds significant economic, tourism, and fisheries value. Phytoplankton, a vital component of aquatic ecosystems, plays a critical role in nutrient cycling and maintaining water structure. Its community composition and concentration reflect changes in the aquatic environment, making it an important biological indicator for monitoring ecological conditions. Understanding the impact of water quality on phytoplankton is essential for maintaining ecological balance and ensuring the sustainable use of water resources. This paper focuses on Lake Taihu, with water samples collected in February, May, August, and November from 2011 to 2019. Using quantile regression, a robust statistical analysis tool, the study investigates the heterogeneous effects of water quality on phytoplankton and seasonal variations. The results indicate significant seasonal differences in water quality in Lake Taihu, which substantially influence phytoplankton, showing weakly alkaline characteristics. When phytoplankton concentrations are low, pondus hydrogenii (pH), chemical oxygen demand (COD), total phosphorus (TP), total nitrogen (TN), water temperature (WT), and conductivity significantly affect them. At medium concentrations, COD, TP, TN, and WT have significant effects. At high concentrations, transparency and dissolved oxygen (DO) significantly impact phytoplankton, while TP no longer has a significant effect. These findings provide valuable insights for policymakers and environmental managers, supporting the prevention and control of harmful algal blooms in Lake Taihu and similar aquatic systems.
Fascitization by ‘nox-culture’2 and “renegadeness” as reference points of modern reality
Authors:   independent expert, philosopher, theorist of art and of science (Moscow), Menshikova E.R.
Published: September 2024

“The Renegadeness” is an intermediate culture. The modern «renegadeness», saturated with the corporate spirit, prays only to one god — Deception, considers that the triad: a pleasure, a esires and a consumption — are modus (modus vivendi) of his existence, and therefore remains at the lowest level of organic, for which “storm and onslaught” (according to Darwin and Schiller) was important (and remains) — emotions and violence — those spears that lead their colonus (holder) to success in a ‘primitive way’ — likening among similar ones. The Renegadeness, hustling and standing in line of robotics for artificial intelligence, reduces civilization to a “consumer basket”, hoping to sooth a headache by virtuality, developing pharmacological addiction, developing cosmic escapism, getting used to and not resisting artificial food and laziness, taking to the needle of “blissful idleness”, and proclaiming the manifesto of the generation “indolence” as “the last argument of the kings,” thus gaining for itself an estate equal in privilege to the aristocracy. And this simple packaging of “the bee`s knees” — the so-called elites — is now accessible to everyone thanks to anonymity, offshore zones, scattered on the planet by dandelion troops, usurious offers of banks, profanity of art and education, and spraying consumer goods. Fascitization by 'nox-culture' sets as its goal — “dislike for the native” — through contempt for it, which, with systematic use (frequent), and without proper immersion in the field of Knowledge (objective and universal), instills hatred — first in the minds, and then in the hearts, hardening and de-energizing the Mind, suppressing the Consciousness of others consciously, deliberately placing in the 'region of Darkness' by ignorance, forcing them to instincts — by instincts stupefying, excluding 'independent comprehension' — totally. The word “fascist” was intended to denote people united in a single bundle (from Latin fascis — bunch, bundle) of a nationalist group — “fascists”, it is from “fascist” that the word “fascitization” (an noun of an abstract concept) follows, meaning “process” as the “activities" of a certain group of people — “fascists”. Fascitization by ‘nox-culture’ is the process of forming alien beliefs in the mental “environment” of a single person involved, using an integrated approach and systematic “dissimilarity”, the process of diminishing the “human” in a Human. And “human” in this context of reasoning should be taken as “a person's ability to mental activity”, which allows him to develop his own Consciousness to the size of the universe, creating writing, and helps to form “Culture” as a “sphere of knowledge and reflection of the world” and the space of his dwelling.
Th e “soil” by F.M. Dostoevsky and the “hillbilly” writers: a problematic fi eld
Authors:   Maxim Gorky Literature Institute, Russia, Esaulov I.A.
Published: September 2024

The article deals with the problem of the continuity of “hillbilly” writers in relation to F.M. Dostoevsky in their belonging to the phenomenon of “soil science”. Such a statement is a common place in modern literary criticism and mass consciousness. This paper proposes a radical revision of this view. In the problem field, the author identifies two fundamental points. The first point is the well—established ideology of the continuity of history, the idea of time as a linear process that brings progress. The dominance of this ideology in the Soviet era generated a negative attitude towards patriarchy in combination with the national and religious — Orthodox — origin of Russian society. The author of the article contrasts the concept of linearity of time with its cyclicality, referring to both the agricultural cycle and the Orthodox calendar. The word “peasant” etymologically goes back to the word “Christian”. Christianity, a synonym for the word “peasantry”, is the second fundamental point of the problem field. The Russian countryside and the Russian peasantry, to whom the work of the “hillbillies” writers is dedicated, for internal political reasons were deprived of their organizing principle, their “soil” — Christianity. Therefore, the fate of the village in the works of ”hillbillies” does not show progress, but commemorations of the village, and the coined term “neo-soil” reveals a separation from the basic foundations of “soil science”.
Metodologias ativas aplicadas ao ensino de parasitoses intestinais
Authors: Aparecida Ferreira Diniz Thais , Abramo Clarice , De Paula Rocha Monalisa
Published: September 2024

As parasitoses intestinais conhecidas comumente como verminoses, são consideradas doenças tropicais negligenciadas e ameaçam mais de 1,7 bilhão de pessoas no mundo geralmente comunidades marginalizadas e de países em desenvolvimento, a maioria das infecções causadas por esses parasitos são adquiridas por via ora- fecal, ou seja, por meio da água e alimentos contaminados por fezes contaminadas. Além do saneamento básico, a educação ambiental representa um ponto muito importante na erradicação desse problema de saúde pública. O ensino por meio de recursos lúdicos e sequências didáticas, mostram-se cada dia mais eficazes para a disseminação de conhecimento em todos os níveis de ensino. Nesse trabalho propõe-se uma sequência didática, acompanhada de recursos lúdico-didáticos para informar e ensinar sobre os sintomas, o tratamento de parasitoses dando ênfase para Ascaris lumbricoides, abordando ciclo de vida bem como as medidas profiláticas, questões relacionadas com higiene pessoal e hábitos alimentares, realizou-se a aplicação da sequência didática em uma 7° e 6° ano do ensino fundamental na escola Municipal Prefeito José Esteves, no município de Cataguases-MG.
A importância dos cuidados paliativos na Unidade de Terapia Intensiva
Authors: Bessa Mateus Magalhães , Gonçalves Elielson Felix , Santos Caio Alberto Nóbrega dos , Mesquita Danielle Cabral , Moreira Maria Eduarda Braz , Matias Késia Hadassa Albuquerque , Ribeiro Filho Zades Lira , Félix José Vinícius Maciel , Nunes Isabella Alves , Azevedo Isabelle Gomes , Sefer Lucas Ruan da Silva , Coutinho Lucas Bronzeado Cavalcanti , Lira Ana Letícia Fernandes , Formiga Antonio Cláudio Rocha Mesquita , Tenório Flavia Luana Lopes , Alves Magno Brandão , Costa Neto Armando , Cavalcanti Mariana Quirino
Published: September 2024

Os cuidados paliativos consistem em uma política voltada para todos os tipos de pacientes, seja qual for o diagnóstico, idade e prognóstico mediante uma doença ameaçadora da continuidade da vida, complementando e ampliando os tratamentos em prol do cuidado. O objetivo do estudo é analisar a importância dos cuidados paliativos no âmbito da Unidade de Terapia Intensiva. Para tanto, preconizou-se a realização de uma revisão integrativa da literatura nos diretórios de buscas PubMed, SciELO e Lilacs no período de 2015 a 2022. Os descritores foram provenientes dos Descritores em Ciências da Saúde (DECs): Cuidados Paliativos, Cuidados Paliativos na Terminalidade da Vida e Unidades de Terapia Intensiva. A mortalidade em UTIs continua elevada, mesmo com os avanços tecnológicos, o que levanta preocupações sobre a pertinência de intervenções agressivas em pacientes em fase terminal. Nesse contexto, a revisão aborda cinco eixos centrais: dilemas éticos, cuidados paliativos, comunicação, capacitação dos profissionais de saúde e protocolos. Primeiramente, os dilemas éticos são exacerbados pela falta de formação adequada, além da inexistência de protocolos claros para a Limitação do Suporte de Vida (LSV). Em seguida, a implementação de cuidados paliativos enfrenta obstáculos, como a insuficiente capacitação dos profissionais e a concepção equivocada de que esses cuidados se restringem exclusivamente à fase terminal. Ademais, a comunicação eficaz, que é uma ferramenta importante para decisões clínicas compartilhadas, ainda se mostra deficiente, especialmente em contextos onde prevalecem abordagens paternalistas. A carência de educação específica em cuidados paliativos favorece também a obstinação terapêutica, destacando, assim, a necessidade de uma formação mais adequada. Por fim, a ausência de diretrizes padronizadas compromete a consistência nas práticas de cuidados paliativos, o que sublinha a necessidade urgente de protocolos claros para assegurar um cuidado digno e humanizado aos pacientes.
Prejuízos do desmame precoce: uma revisão integrativa da literatura
Authors: Nascimento Raoan Silva , Azevedo Beatriz Ferreira de , Gonçalves Victor Neves , Oliveira Caio Ferreira de
Published: September 2024

O desmame precoce é um assunto que por muitos anos foi pouco discutido, mas ganha força nos dias atuais, devido às consequências dessa prática para a saúde da criança. O objetivo do trabalho foi realizar uma revisão bibliográfica sobre o tema, visando identificar os riscos da introdução alimentar precoce na saúde das crianças e compreender quais os principais fatores para antecipação da introdução alimentar. Trata-se de uma revisão integrativa da literatura, onde foram consultadas as bases de dados SciELO, PubMed, BVS - Biblioteca Virtual em Saúde e Lilacs, e selecionados artigos dentro do recorte temporal de 2015 a 2024. A amostra final do estudo compreendeu 16 artigos, os quais foram lidos na íntegra para elaboração da revisão. Existem inúmeros fatores que contribuem para a introdução alimentar precoce: baixos níveis socioeconômicos, pais jovens e inexperientes, obrigações financeiras que levam as mães a trabalharem fora de casa e retornarem ao trabalho precocemente, bem como indução ao uso de mamadeiras e chupetas. Conclui-se que não há benefícios na introdução de qualquer tipo de alimento, líquido ou sólido, antes dos 6 meses de vida de uma criança, pelo contrário, observou-se neste estudo os malefícios da introdução almentar precoce, como obesidade infantil, má formação da microbiota intestinal, que produz consequências negativas ao longo da vida da criança, e desenvolvimento inadequado do sistema imunológico, culminando em doenças autoimunes e alérgicas, dentre outras. Assim, fica explícito a importância da conscientização das mães, sobretudo aquelas com baixa escolaridade e baixa condições socioeconômicos, sobre os benefícios da amamentação.
Exploring Electroencephalography-Based Affective Analysis and Detection of Parkinson’s Disease
Authors: Parameshwara Ravikiran , Narayana Soujanya , Murugappan Murugappan , Radwan Ibrahim , Goecke Roland , Subramanian Ramanathan
Published: September 2024

While Parkinson’s disease (PD) is typically characterized by motor disorder, there is also evidence of diminished emotion perception in PD patients. This study examines the utility of electroencephalography (EEG) signals to understand emotional differences between PD and healthy controls (HCs), and for automated PD detection. Employing traditional machine learning and deep learning methods on multiple EEG descriptors, we explore (a) dimensional and categorical emotion recognition and (b) PD versus HC classification from multiple descriptors characterizing emotional EEG signals. Our results reveal that PD patients comprehend arousal better than valence and, among emotion categories, fear, disgust, and surprise less accurately, and sadness most accurately. Mislabeling analyses confirm confounds among opposite-valence emotions for PD data. Emotional EEG responses also achieve near-perfect PD versus HC recognition. Cumulatively, our study demonstrates that (a) examining implicit responses alone enables (i) discovery of valence-related impairments in PD patients and (ii) differentiation of PD from HC and that (b) emotional EEG analysis is an ecologically valid, effective, practical, and sustainable tool for PD diagnosis vis-à-vis self-reports, expert assessments, and resting-state analysis.
Emerging Therapeutics Targeting Cellular Stress Pathways to Mitigate End-Organ Damage in Type 1 Diabetes
Authors: Addissouky Tamer A.
Published: September 2024

Type 1 diabetes (T1D) is an autoimmune disease characterized by insulin deficiency and impaired glucose regulation. While daily insulin therapy is life-saving, many patients struggle to achieve optimal glycemic control, leading to microvascular complications affecting various organs, including the kidneys and the liver. This review aims to summarize the current state of knowledge regarding the pathogenesis of hepatic and renal complications in T1D, highlight recent advances in potential therapeutic targets, and provide evidence-based recommendations for mitigating end-organ damage. Chronic hyperglycemia drives diabetic complications through several interrelated mechanisms, including increased polyol pathway flux, advanced glycation end-product (AGE) formation, protein kinase C activation, and mitochondrial reactive oxygen species overproduction. In the liver, these processes contribute to non-alcoholic fatty liver disease, with up to 50% of T1D patients developing hepatic steatosis. Diabetic nephropathy, affecting 25%–40% of long-term T1D patients, is characterized by glomerular basement membrane thickening, mesangial expansion, and tubulointerstitial fibrosis. Recent innovations in T1D management include genomics and precision medicine approaches, gut microbiome modulation, nanomedicine, and artificial intelligence-driven glucose monitoring systems. Emerging immunotherapies aim to fundamentally modify the autoimmune response in T1D. Mitigating T1D complications requires intensive glycemic control, targeted pharmacotherapy, and lifestyle modifications. Emerging therapies and precision medicine approaches offer promising avenues. Ongoing research into molecular mechanisms remains crucial for developing novel interventions and improving long-term outcomes in T1D patients.
Reflexiones filosóficas sobre el marco teórico de la etología de Frans de Waal
Authors: Oviedo Lorena Vanesa , Florio Lucio
Published: September 2024

El presente trabajo se inscribe dentro del cuadro de una epistemología de la etología. El objetivo particular de la propuesta consistirá en resaltar la necesidad de estudiar la conducta animal desde la originalidad perceptiva de las especies sobre la base de una historia evolutiva de las mismas. Se recogerá un concepto introducido por el biólogo estonio Jacob von Uexküll: el Umwelt o percepción del mundo de cada especie. Este concepto tuvo un importante impacto durante el siglo XX, siendo recogido recientemente por el etólogo y primatólogo Frans de Waal. Este investigador reintroduce dicha categoría etológica en una perspectiva evolucionista, aplicándola con restricciones: todos los animales tienen un mundo perceptivo diverso al Homo sapiens, salvo los que son filogénéticamente cercanos.
El método a utilizar consistirá en la revisión de la discusión histórica y presente sobre el tema, a partir de los escritos de F. de Waal. Se intentará mostrar cómo la categoría del Umwelt puede ser útil para pensar la masiva interrelación de las especies con el Homo sapiens en la era del Antropoceno. Los resultados esperados serán de carácter teórico, consistiendo en la comprobación o no de la fecundidad de este concepto en cuanto principio heurístico para la etología actual.
COGNITIVE ORGANISATION OF LITERARY IMAGE: METAPHORICAL FRAMING
Authors: Dzyubenko Anna I.
Published: September 2024

Topicality of studying the artistic image, its ontological status and complex of functions in the paradigm of modern linguistics is determined by the need to understand the specifics of an artistic text as a result of the verbal and mental activity of the author and the receptive-interpretative activity of the reader in the process of aesthetic communication. An artistic image embodies the main qualities of an artistic text – its conceptual inability to reflect objective reality within the framework of conventionality or life-like strategies. A literary text appeals to the network of associative connections that arise for the addressee of an aesthetic statement in the process of perceiving such a text on the basis of everyday and spiritual experience, background knowledge, including those determined by the general cultural outlook of the individual. In the process of research, it was proven that an artistic image arises in the process of abstraction and in an artistic text can be realised through metaphors, as a result of which the reader gets the opportunity to decode implicit meanings with the help of visual representations and verbalise them. Based on the texts of novels by Vladimir Orlov “Danilov, the Violist”, “Pharmacist” and “Shevrikuka” it is established that the cognitive organisation of an artistic image is determined by metaphorical framing, which forms the foundation of artistic fiction: there is a transfer by similarity in relation to situations, events, characteristics of characters represented in artistic text, and knowledge, values and meanings that form the foundation of the addressee’s worldview.
THE INTERACTION OF LEGAL SYSTEMS AS LINGUISTIC COMMUNITIES. Part 2
Authors: Volfson Vladimir L.
Published: September 2024

Law as a linguistic phenomenon has seldom been a subject of research in the Russian civil law studies, as well in national jurisprudence at large. As for attempts at systemizing descriptions of the semantic interaction of legal systems, its properties and types, they are barely existent. At the same time, the cases of such interaction per se seem to lie on the surface. The article examines the general properties of such interaction, identifies the essential features of its main varieties and offers descriptions and solutions to the most interesting issues within each one. Doing so, the author makes use of some case modelling. Along with well-known kinds of semantic interaction, such as the characterization problem and the application of foreign law (in conflict law), comparative studies and incorporation, the article also refers to interpenetration of various schemes of meaning within same jurisdiction. The author puts all the matters in the context of linguistic problem and approaches them from the standpoint of his understanding of private law. The scientific outcome can be seen in the attempt to create a general theory of semantic interaction of legal systems based on general properties of such interaction and on the disclosure of its individual types.
MILITARY UNITS FROM KAZAKHSTAN AT THE FIRST STAGE OF MILITARY UNITS FROM KAZAKHSTAN AT THE FIRST STAGE OF THE AXIS AGGRESSION AGAINST THE USSR (22 June 1941 – 18 November 1942))
Authors: Akkuzinov Asset K.
Published: September 2024

The purpose of the article is to analyse the formation of rifle and cavalry divisions, brigades, regiments and battalions in the territory of Soviet Kazakhstan in 1941-1942, as well as their role in the first period of the Axis aggression against the USSR. The topicality of the research was determined by the necessity to study the history of military formations from Kazakh Soviet Republic from the day of issuing orders of the Supreme Command of the USSR; the execution of those orders by the leadership of the Kazakh Soviet Socialist Republic; the organisation of interaction with the command of Stalingrad, Ural, South Ural, Central Asian military districts; as well as the combat path of military units from Kazakhstan in the first year and a half of the War. The study of the said theme was worked out by both Soviet-system authors and those working in the conditions of modern national states – Kazakhstan and Russia. Collective works of researchers dedicated to World War II East Front events; Kazakhstani President’s Archive historical documents; as well as those from the Russian State Archive of Social and Political History; and combat documents of military units from Soviet Kazakhstan stored in the Russian Federation’s Defence Ministry Central Archive, are used in the work. The peculiarities of the work held for formation of military units and formations are given; the trends of staffing the division military units by senior, junior commanding personnel, and also by privates, are outlined. The combat path of Kazakhstani divisions and brigades in the first period of the War is traced; numerous pages of heroism of soldiers and commanders on the battlefields are outlined. The conclusion, that military formations from Kazakhstan significantly contributted to repelling Hitler’s troops near Moscow and Leningrad; as well as to defence of Stalingrad; just the same as the fact that they created the conditions for a fundamental turning point in the War in favour of the USSR, is made.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ПОДХОДЫ К ПСИХОЛОГО-ПЕДАГОГИЧЕСКОМУ СОПРОВОЖДЕНИЮ СТУДЕНТОВ, ИСПЫТЫВАЮЩИХ ЗАТРУДНЕНИЯ В ИСПОЛЬЗОВАНИИ ДИСТАНЦИОННЫХ ОБРАЗОВАТЕЛЬНЫХ ТЕХНОЛОГИЙ
Authors: Васьковский И.Е. , Ванновская О.В.
Published: September 2024

Данная работа посвящена исследованию существующих в отечественной науке подходов к изучению психолого-педагогического сопровождения в целом, и в системе онлайн-обучения студентов, испытывающих затруднения в использовании ДОТ в частности.