bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Green Business Ethics and Green Financing on Sustainable Business Performance of Industries in Türkiye: The Mediating Role of Corporate Social Responsibility
Authors: Alay Hazal Koray , Keskin Abdulkadir , Deveciyan Meri Taksi , Şen Gülaçtı , Kayalıdereden Didem , Berber Şayan
Published: September 2024

The purpose of this research is to understand the relationship between green business ethics, green finance, and sustainable business performance, and to evaluate the role of corporate social responsibility (CSR) in this relationship. The impact of the damage inflicted on nature’s functioning order is being felt much more strongly today. In light of these realities, companies must emphasize sustainability principles not just out of financial concerns but as a result of corporate social responsibility. In this context, focusing on the role of corporate social responsibility in sustainable business performance is the main goal of this research. Quantitative research methods, specifically the cross-sectional survey method, were employed for data collection and analysis. For this purpose, a convenience sampling method was used to select 427 white-collar employees working in industries operating in Türkiye as the sample for this study. The data collected through surveys were analyzed using the AMOS 24 statistical program. The findings underscore that green business ethics and green finance have a significant impact on corporate social responsibility and sustainable business performance. Additionally, it was determined that corporate social responsibility plays an intermediary role in shaping sustainable business performance. These findings are expected to provide an important foundation that can guide both employees and managers in developing awareness about green policies and sustainability, emphasizing the importance of green policies in working life.
Patellar Sleeve Fracture: An Update of Literature
Authors: Papotto Giacomo , Panvini Flora Maria Chiara , Schütze Konrad , Pankrats Carlos , Costanzo Francesco , Salvo Giovanni Carlo , Ortuso Rocco , Comitini Saverio , Kory Antonio , Longo Gianfranco , Ganci Marco
Published: September 2024

Patellar sleeve fractures, though relatively rare, present unique challenges in diagnosis and management. This review aims to provide a comprehensive overview of the current understanding of patellar sleeve fractures, focusing on their epidemiology, clinical presentation, imaging, and management strategies. Epidemiologically, these fractures are uncommon, representing approximately 1% of all fractures in pediatric patients, yet they account for 50% of all patella fractures in this population. They predominantly affect adolescents, with a peak incidence around 12.7 years of age, and are more common in boys, occurring at a ratio of 3 to 5:1. Understanding these demographic patterns is crucial for early recognition and appropriate management. Clinically, patellar sleeve fractures typically present with the sudden onset of severe pain, often associated with explosive activities such as jumping. However, diagnosis can be challenging, particularly in cases with minimal displacement or where alternative muscle groups compensate for the injury. Differential diagnosis is essential, and clinicians should be vigilant for signs such as palpable gaps at the lower pole of the patella and patella alta. Imaging modalities play a vital role in diagnosis, with plain X-rays often revealing no bony damage. Ultrasonography may offer a cost-effective alternative, especially in cases where radiographic findings are inconclusive. Advanced imaging techniques such as MRI can assist in characterizing the extent of the injury and assessing for associated complications. Management strategies encompass a spectrum of approaches, ranging from conservative measures such as immobilization and physical therapy to surgical interventions, including open reduction and internal fixation or arthroscopic surgery. The choice of treatment depends on various factors, including the fracture pattern, displacement, patient age, activity level, and associated injuries. Despite advancements in diagnosis and treatment, the optimal management of patellar sleeve fractures remains a clinical challenge. Further research is warranted to elucidate optimal algorithms for diagnosis and treatment, with the ultimate goal of improving outcomes and reducing the risk of long-term complications associated with this rare but clinically significant knee injury.
Intelligent Fuzzy Traffic Signal Control System for Complex Intersections Using Fuzzy Rule Base Reduction
Authors: Chala Tamrat D. , Kóczy László T.
Published: September 2024

In this study, the concept of symmetry is employed to implement an intelligent fuzzy traffic signal control system for complex intersections. This approach suggests that the implementation of reduced fuzzy rules through the reduction method, without compromising the performance of the original fuzzy rule base, constitutes a symmetrical approach. In recent decades, urban and city traffic congestion has become a significant issue because of the time lost as a result of heavy traffic, which negatively affects economic productivity and efficiency and leads to energy loss, and also because of the heavy environmental pollution effect. In addition, traffic congestion prevents an immediate response by the ambulance, police, and fire brigades to urgent events. To mitigate these problems, a three-stage intelligent and flexible fuzzy traffic control system for complex intersections, using a novel hybrid reduction approach was proposed. The three-stage fuzzy traffic control system performs four primary functions. The first stage prioritizes emergency car(s) and identifies the degree of urgency of the traffic conditions in the red-light phase. The second stage guarantees a fair distribution of green-light durations even for periods of extremely unbalanced traffic with long vehicle queues in certain directions and, especially, when heavy traffic is loaded for an extended period in one direction and the short vehicle queues in the conflicting directions require passing in a reasonable time. The third stage adjusts the green-light time to the traffic conditions, to the appearance of one or more emergency car(s), and to the overall waiting times of the other vehicles by using a fuzzy inference engine. The original complete fuzzy rule base set up by listing all possible input combinations was reduced using a novel hybrid reduction algorithm for fuzzy rule bases, which resulted in a significant reduction of the original base, namely, by 72.1%. The proposed novel approach, including the model and the hybrid reduction algorithm, were implemented and simulated using Python 3.9 and SUMO (version 1.14.1). Subsequently, the obtained fuzzy rule system was compared in terms of running time and efficiency with a traffic control system using the original fuzzy rules. The results showed that the reduced fuzzy rule base had better results in terms of the average waiting time, calculated fuel consumption, and CO2 emission. Furthermore, the fuzzy traffic control system with reduced fuzzy rules performed better as it required less execution time and thus lower computational costs. Summarizing the above results, it may be stated that this new approach to intersection traffic light control is a practical solution for managing complex traffic conditions at lower computational costs.
Research on Small Sample Rolling Bearing Fault Diagnosis Method Based on Mixed Signal Processing Technology
Authors: Yu Peibo , Zhang Jianjie , Zhang Baobao , Cao Jianhui , Peng Yihang
Published: September 2024

The diagnosis of bearing faults is a crucial aspect of ensuring the optimal functioning of mechanical equipment. However, in practice, the use of small samples and variable operating conditions may result in suboptimal generalization performance, reduced accuracy, and overfitting for these methods. To address this challenge, this study proposes a bearing fault diagnosis method based on a symmetric two-stream convolutional neural network (CNN). The method employs hybrid signal processing techniques to address the issue of limited data. The method employs a symmetric parallel convolutional neural network (CNN) for the analysis of bearing data. Initially, the data are transformed into time–frequency maps through the utilization of the short-time Fourier transform (STFT) and the simultaneous compressed wavelet transform (SCWT). Subsequently, two sets of one-dimensional vectors are generated by reconstructing the high-resolution features of the faulty samples using a symmetric parallel convolutional neural network (CNN). Feature splicing and fusion are then performed to generate bearing fault diagnosis information and assist fault classification. The experimental results demonstrate that the proposed mixed-signal processing method is effective on small-sample datasets, and verify the feasibility and generality of the symmetric parallel CNN-support vector machine (SVM) model for bearing fault diagnosis under small-sample conditions.
Transfer Learning-Based Steering Angle Prediction and Control with Fuzzy Signatures-Enhanced Fuzzy Systems for Autonomous Vehicles
Authors: Karadeniz Ahmet Mehmet , Ballagi Áron , Kóczy László T.
Published: September 2024

This research introduces an innovative approach for End-to-End steering angle prediction and its control in electric power steering (EPS) systems. The methodology integrates transfer learning-based computer vision techniques for prediction and control with fuzzy signatures-enhanced fuzzy systems. Fuzzy signatures are unique multidimensional data structures that represent data symbolically. This enhancement enables the fuzzy systems to effectively manage the inherent imprecision and uncertainty in various driving scenarios. The ultimate goal of this work is to assess the efficiency and performance of this combined approach by highlighting the pivotal role of steering angle prediction and control in the field of autonomous driving systems. Specifically, within EPS systems, the control of the motor directly influences the vehicle’s path and maneuverability. A significant breakthrough of this study is the successful application of transfer learning-based computer vision techniques to extract respective visual data without the need for large datasets. This represents an advancement in reducing the extensive data collection and computational load typically required. The findings of this research reveal the potential of this approach within EPS systems, with an MSE score of 0.0386 against 0.0476, by outperforming the existing NVIDIA model. This result provides a 22.63% better Mean Squared Error (MSE) score than NVIDIA’s model. The proposed model also showed better performance compared with all other three references found in the literature. Furthermore, we identify potential areas for refinement, such as decreasing model loss and simplifying the complex decision model of fuzzy systems, which can represent the symmetry and asymmetry of human decision-making systems. This study, therefore, contributes significantly to the ongoing evolution of autonomous driving systems.
Method for Developing the System Architecture of Existing Industrial Objects for Digital Representation Tasks
Authors: Badenko Vladimir , Yadykin Vladimir , Kamsky Vladimir , Mohireva Arina , Bezborodov Andrey , Melekhin Egor , Sokolov Nikolay
Published: September 2024

This paper presents a method for creating the system architecture of existing industrial objects based on Model-Based Systems Engineering (MBSE) principles. The method aims to form a digital representation of physical objects, which is crucial in the digital transformation of industrial enterprises. It allows for the accurate reflection of all components, processes, functions, and interrelationships within an object. The methodology includes stages of data collection, structuring, development of ontological models, and the integration of a comprehensive system architecture into the digital space. This method was tested using a small hydroelectric power plant, revealing its key advantages and disadvantages and identifying areas for further improvement. The main findings indicate a significant improvement in understanding the system architecture for scenario modeling and digital operation of the objects. Despite challenges such as the need for multiple iterations and high data requirements, the methodology demonstrates the potential for applying MBSE in the digital transformation of existing industrial objects.
Vesicular Stomatitis Virus Detected in Biting Midges and Black Flies during the 2023 Outbreak in Southern California
Authors: Scroggs Stacey L. P. , Swanson Dustin A. , Steele Taylor D. , Hudson Amy R. , Reister-Hendricks Lindsey M. , Gutierrez Jessica , Shults Phillip , McGregor Bethany L. , Taylor Caitlin E. , Davis Travis M. , Lamberski Nadine , Phair Kristen A. , Howard Lauren L. , McConnell Nathan E. , Gurfield Nikos , Drolet Barbara S. , Pelzel-McCluskey Angela M. , Cohnstaedt Lee W.
Published: September 2024

Vesicular stomatitis (VS) is a viral disease that affects horses, cattle, and swine that is transmitted by direct contact and hematophagous insects. In 2023, a multi-state outbreak of vesicular stomatitis New Jersey virus (VSNJV) occurred in California, Nevada, and Texas, infecting horses, cattle, and rhinoceros. To identify possible insect vectors, we conducted insect surveillance at various locations in San Diego County, CA, including at a wildlife park. CO2 baited traps set from mid-May to mid-August 2023 collected 2357 Culicoides biting midges and 1215 Simulium black flies, which are insect genera implicated in VSNJV transmission. Insects were pooled by species, location, and date, then tested for viral RNA. Nine RNA-positive pools of Culicoides spp. and sixteen RNA-positive pools of Simulium spp were detected. Infectious virus was detected by cytopathic effect in 96% of the RNA-positive pools. This is the first report of VSNJV in wild-caught C. bergi, C. freeborni, C. occidentalis, S. argus, S. hippovorum, and S. tescorum. The vector competency of these species for VSNJV has yet to be determined but warrants examination. Active vector surveillance and testing during disease outbreaks increases our understanding of the ecology and epidemiology of VS and informs vector control efforts.
Pertussis Epidemiology in Children: The Role of Maternal Immunization
Authors: Principi Nicola , Bianchini Sonia , Esposito Susanna
Published: September 2024

In the last twelve months, a significant global increase in pertussis cases has been observed, particularly among infants under three months of age. This age group is at the highest risk for severe disease, hospitalization, and death. Maternal immunization with the Tdap vaccine during pregnancy has been recommended to protect newborns by transferring maternal antibodies transplacentally. This review examines the current epidemiology of pertussis, the importance of preventing it in young children, and the effectiveness of maternal immunization. Despite the proven benefits of maternal vaccination, which has been found effective in pertussis prevention in up to 90% of cases, coverage remains suboptimal in many countries. Factors contributing to low vaccination rates include vaccine hesitancy due to low trust in health authority assessments, safety concerns, practical barriers to vaccine access, and the impact of the COVID-19 pandemic, which disrupted routine vaccination services. The recent increase in pertussis cases may also be influenced by the natural cyclic nature of the disease, increased Bordetella pertussis (Bp) activity in older children and adults, and the genetic divergence of circulating Bp strains from vaccine antigens. Given the high efficacy of maternal vaccination in preventing pertussis in infants, increasing coverage rates is crucial. Efforts to improve vaccine uptake should address barriers to access and vaccine hesitancy, ensuring consistent immune protection for the youngest and most vulnerable populations. Enhanced maternal vaccination could significantly reduce the incidence of whooping cough in infants, decreasing related hospitalizations and deaths.
IgG Subtype Response against Virulence-Associated Protein A in Foals Naturally Infected with Rhodococcus equi
Authors: Mizuguchi Yuya , Tsuzuki Nao , Ebana Marina Dee , Suzuki Yasunori , Kakuda Tsutomu
Published: September 2024

Rhodococcus equi is an intracellular bacterium that causes suppurative pneumonia in foals. T-helper (Th) 1 cells play an important role in the protective response against R. equi. In mice and humans, the directionality of IgG switching reflects the polarization of Th-cell responses, but this has not been fully elucidated in horses. In this 4-year study, we classified R. equi-infected foals into surviving and non-surviving group and investigated differences in IgG subclass response to virulence-associated protein A, the main virulence factor of R. equi, between the groups. IgGa, IgGb, and IgG(T) titers were significantly higher in the non-surviving group compared with the surviving group. The titers of IgGa and IgG(T), IgGb and IgG(T), and IgGa and IgGb, respectively, were positively correlated, and the IgG(T)/IgGb ratio in the non-surviving group was significantly higher than that in the surviving group. The IgG(T) titer tended to increase more than the IgGa and IgGb titers in the non-surviving group compared with the surviving group. Our findings suggest that the IgG(T) bias in IgG subclass responses reflects the immune status, which exacerbates R. equi infection.
Carbon Emission Accounting and Reduction Evaluation in Sponge City Residential Areas
Authors: Ma Yingqiang , Liu Xuefeng , Liu Jianlin , Du Chengyin , Liang Mei , Li Wei , Cao Lianbao , Wang Deqi , Wang Hao , Zhang Tingting , Wei Bigui
Published: September 2024

This paper aims to establish a more standardized and regulated carbon emission accounting model for sponge cities by unifying the accounting content for carbon emissions and clarifying the relationships between carbon reduction benefits, carbon reduction effects, and carbon sequestration, in order to evaluate the carbon reduction outcomes and mechanisms of sponge city construction. Based on a Life Cycle Assessment (LCA) carbon emission accounting model using the carbon emission factor method, a newly constructed residential area in Tianshui City, Gansu Province, was selected as a case study, and the carbon emission reduction effect of sponge city construction was then investigated. Results indicated that the 30-year full life cycle carbon emissions for sponge city construction in the newly constructed residential area amounted to 828.98 tons, compared to 744.28 tons of CO2 reduction in traditional construction, representing a 47.31% reduction in carbon emissions. Over a 30-year life cycle, this equated to a total carbon emission reduction effect of 1460.31 tons. Additionally, under various rainfall scenarios in a typical year, the carbon emission reduction effect of sponge city construction exceeded the carbon emissions, achieving carbon neutrality within 22 to 30 years of operation. This demonstrates that the carbon emission reduction effect of sponge city communities is significant. The findings of this study provide data and a theoretical basis for the low-carbon construction of sponge cities in China.
Natural Water Sources and Small-Scale Non-Artisanal Andesite Mining: Scenario Analysis of Post-Mining Land Interventions Using System Dynamics
Authors: Khusaini Mohamad , Parmawati Rita , Sianipar Corinthias P. M. , Ciptadi Gatot , Hoshino Satoshi
Published: September 2024

Small-scale open-pit, non-artisanal mining of low-value ores is an understudied practice despite its widespread occurrence and potential impact on freshwater resources due to mining-induced land-use/cover changes (LUCCs). This research investigates the long-term impacts of andesite mining in Pasuruan, Indonesia, on the Umbulan Spring’s water discharge within its watershed. System Dynamics (SD) modeling captures the systemic and systematic impact of mining-induced LUCCs on discharge volumes and groundwater recharge. Agricultural and reservoir-based land reclamation scenarios then reveal post-mining temporal dynamics. The no-mining scenario sees the spring’s discharge consistently decrease until an inflection point in 2032. With mining expansion, reductions accelerate by ~1.44 million tons over two decades, or 65.31 thousand tons annually. LUCCs also decrease groundwater recharge by ~2.48 million tons via increased surface runoff. Proposed post-mining land interventions over reclaimed mining areas influence water volumes differently. Reservoirs on reclaimed land lead to ~822.14 million extra tons of discharge, 2.75 times higher than the agricultural scenario. Moreover, reservoirs can restore original recharge levels by 2039, while agriculture only reduces the mining impact by 28.64% on average. These findings reveal that small-scale non-artisanal andesite mining can disrupt regional hydrology despite modest operating scales. Thus, evidence-based guidelines are needed for permitting such mines based on environmental risk and site water budgets. Policy options include discharge or aquifer recharge caps tailored to small-scale andesite mines. The varied outputs of rehabilitation scenarios also highlight evaluating combined land and water management interventions. With agriculture alone proving insufficient, optimized mixes of revegetation and water harvesting require further exploration.
Integrated Geospatial and Geostatistical Multi-Criteria Evaluation of Urban Groundwater Quality Using Water Quality Indices
Authors: Naz Iram , Fan Hong , Aslam Rana Waqar , Tariq Aqil , Quddoos Abdul , Sajjad Asif , Soufan Walid , Almutairi Khalid F. , Ali Farhan
Published: September 2024

Groundwater contamination poses a severe public health risk in Lahore, Pakistan’s second-largest city, where over-exploited aquifers are the primary municipal and domestic water supply source. This study presents the first comprehensive district-wide assessment of groundwater quality across Lahore using an innovative integrated approach combining geographic information systems (GIS), multi-criteria decision analysis (MCDA), and water quality indexing techniques. The core objectives were to map the spatial distributions of critical pollutants like arsenic, model their impacts on overall potability, and evaluate targeted remediation scenarios. The analytic hierarchy process (AHP) methodology was applied to derive weights for the relative importance of diverse water quality parameters based on expert judgments. Arsenic received the highest priority weight (0.28), followed by total dissolved solids (0.22) and hardness (0.15), reflecting their significance as health hazards. Weighted overlay analysis in GIS delineated localized quality hotspots, unveiling severely degraded areas with very poor index values (>150) in urban industrial zones like Lahore Cantt, Model Town, and parts of Lahore City. This corroborates reports of unregulated industrial effluent discharges contributing to aquifer pollution. Prospective improvement scenarios projected that reducing heavy metals like arsenic by 30% could enhance quality indices by up to 20.71% in critically degraded localities like Shalimar. Simulating advanced multi-barrier water treatment processes showcased an over 95% potential reduction in arsenic levels, indicating the requirement for deploying advanced oxidation and filtration infrastructure aligned with local contaminant profiles. The integrated decision support tool enables the visualization of complex contamination patterns, evaluation of remediation options, and prioritizing risk-mitigation investments based on the spatial distribution of hazard exposures. This framework equips urban planners and utilities with critical insights for developing targeted groundwater quality restoration policies through strategic interventions encompassing treatment facilities, drainage infrastructure improvements, and pollutant discharge regulations. Its replicability across other regions allows for tackling widespread groundwater contamination challenges through robust data synthesis and quantitative scenario modeling capabilities.
Net-Zero Greenhouse Gas Emission Electrified Aircraft Propulsion for Large Commercial Transport
Authors: Huang Hao , Rajashekara Kaushik
Published: September 2024

Until recently, electrified aircraft propulsion (EAP) technology development has been driven by the dual objectives of reducing greenhouse gas (GHG) emissions and addressing the depletion of fossil fuels. However, the increasing severity of climate change, posing a significant threat to all life forms, has resulted in the global consensus of achieving net-zero GHG emissions by 2050. This major shift has alerted the aviation electrification industry to consider the following: What is the clear path forward for EAP technology development to support the net-zero GHG goals for large commercial transport aviation? The purpose of this paper is to answer this question. After identifying four types of GHG emissions that should be used as metrics to measure the effectiveness of each technology for GHG reduction, the paper presents three significant categories of GHG reduction efforts regarding the engine, evaluates the potential of EAP technologies within each category as well as combinations of technologies among the different categories using the identified metrics, and thus determines the path forward to support the net-zero GHG objective. Specifically, the paper underscores the need for the aviation electrification industry to adapt, adjust, and integrate its EAP technology development into the emerging new engine classes. These innovations and collaborations are crucial to accelerate net-zero GHG efforts effectively.
The chronotope category in the concept of M.M. Bakhtin
Authors:   Department of Art, Moscow University for the Humanities, Shcheglova Tatyana Gennadievna
Published: September 2024

This article contains an analysis of the theoretical concept of time and space by M.M. Bakhtin. In his fundamental study “Forms of Time and of the Chronotope in the Novel”, the author points to the unity of time and space in the chronotope. M. Bakhtin gave priority to the temporal category. The author of the article considers the chronotope and the threshold category from the point of view of spatial and temporal existence. The materials of the article may be useful within the disciplines of “Fundamentals of Literary Studies”, “History of Literature” and “Theory of Culture”.
Understanding Gogol’s life and actions
Authors:   Sector of Interdisciplinary Problems of Scientific and Technological Development, Institute of Philosophy, Russian Academy of Sciences, Rozin Vadim Markovich
Published: September 2024

Paraphrasing Martin Heidegger, who repeatedly stated that “we are still not thinking”, it can be said that we still do not understand Gogol well. The article contains a reconstruction of the creative image of N.V. Gogol, which acts as a methodological basis for analyzing the personality of a writer or scientist. A hermeneutical analysis of the ideas in the book by Aleksey Davydov, published on the occasion of the anniversary of the great Russian writer, as well as the work “Gogol’s Disease” by the famous Russian psychiatrist and writer V.F. Chizh, which appeared at the very beginning of the twentieth century, is presented. A. Davydov’s book “The Soul of Gogol” seems to be directly aimed against the psychiatric understanding of the tragedy of our great writer. Davydov does not deny Gogol’s mental illness, but considers it secondary, derived from another deeper cause, which is of a purely social, or rather sociocultural nature. This reason is sociocultural contradictions (sociocultural split), which the writer could not overcome within himself
Foresights of Nikolai Roslavets
Authors:   Union of Moscow Composers and the Association of Contemporary Music Moscow, Russian Federation, Severina Irina Markovna
Published: September 2024

The article is dedicated to Nikolai Roslavets, one of the brightest and most advanced representatives of the Association of Contemporary Music of the 1920s. This August marks the 80th anniversary of his death. The paper examines the compositional principles of his synth chord technique from the perspective of anticipating the main trends in the music of the twentieth century, as well as evaluates his system of sound organization against a broad historical and evolutionary background. The author does not limit herself to purely technical analysis, but also touches on aesthetic aspects. At the end of the article, the late period of Roslavets’s work is examined, where it may seem that he turns back to romanticism, which in essence is moving forward, to the future. The materials of the article can be used in the educational process within the disciplines “Cultural Studies”, “Music Theory”, “History of Musical Culture”, and “Fundamentals of Musical Composition”.
Values and needs: on issue of the relationship of concepts
Authors:   5.10.1. Theory and History of Culture and Art, Moscow University for the Humanities, Lebedev Ivan Igorevich
Published: September 2024

When we speak about values and needs, it becomes important to determine the content of these concepts and their specificity, in contrast to others that are semantically similar. H. Rickert, one of the founders of the theory of value, distinguished the first from the latter, saying that values, unlike evaluation, do not correlate with benefit and are not “sensible things”. The specificity of value can be formulated through the explanation “this item is dear to me”, while evaluations can be formulated through the explanation “this item is useful to me”. According to the neo-Kantians, values objectively exist within the boundaries of culture, in contrast to evaluation, which can be subjective and individual for each person. The article shows that the position of the neo-Kantians, in a certain sense, became the basis for further research into this issue. The author examines the approaches of various researchers to the concepts of value and evaluation, revealing their specifics.
Iran's Path to Diplomacy: Challenging the Unipolar Paradigm in Nuclear Negotiations
Authors:   RUDN University, Moscow, Ranjbar M. D.
Published: September 2024

This article explores Iran’s nuclear program and its diplomatic strategies against the backdrop of the unipolar paradigm in international relations, focusing on developments since the early 2000s. Utilizing a qualitative research approach, the study analyzes Iran’s maneuvers in nuclear negotiations and their impact on the unipolar world order led by the United States. The investigation covers key historical stages from the program's inception, signifi cant shifts under diff erent Iranian administrations, and the pivotal dynamics surrounding the Joint Comprehensive Plan of Action (JCPOA). Case studies, including Iran’s response to the U. S. withdrawal from the JCPOA and its membership in the Shanghai Cooperation Organisation, demonstrate Iran’s multifaceted and resilient diplomatic tactics. The analysis suggests that Iran’s strategies challenge the unipolar paradigm, indicating a shift towards a multipolar global order. This research contributes to understanding the evolving dynamics of international relations, highlighting the trend of nations asserting autonomy in a traditionally unipolar-dominated global structure.
Importance of perfect logistics service during transportation
Authors:   Orenburg Branch of the Plekhanov Russian University of Economics, Lekareva Yu.S. , Zaitsev A.N. ,   Orenburg Branch of the Plekhanov Russian University of Economics
Published: September 2024

The importance of logistics in an enterprise is comparable to the general concept and functions. The use of multimodal transportation assumes to pay special attention to the perfect logistics service with a zero level of marriage. The paper reveals the concept of logistics service, examines the content of its operations, describes the quality criteria and highlights the prospects for application.
On optimizing the company’s logistics activities
Authors:   Bryansk Branch of the Plekhanov Russian University of Economics, Dotsenko E. V.
Published: September 2024

The article identifies the problem of organizing an effective logistics system in a company. The classic scheme for optimizing logistics processes and reducing costs, as well as the methods for optimizing transport costs are considered. It is proposed to consider the introduction of modern software that can improve the efficiency of logistics processes.
Assessment of three Artificial Intelligence models performance in the detection of bacterial spot on tomato leaves in mozambique
Authors: Simango Abel , Mananze Sosdito Estêvão
Published: September 2024

The agricultural sector is pivotal to Mozambique's economy through domestic consumption and exports of crops such as (Lycopersicon esculentum Mill.). However, tomato production faces several challenges, one of the most important being the bacterial diseases infestation. Artificial Intelligence (AI) has emerged as a transformative tool across industries, including agriculture, leveraging machine learning and extensive datasets to enhance productivity and sustainability. In a study conducted at Eduardo Mondlane University experimental trial station in Maputo, images of tomato leaves were collected and categorized to develop AI models for detection of bacterial spot disease. Data preprocessing included resizing and augmentation techniques to optimize model performance. Training involved Convolutional Neural Networks (CNNs) using TensorFlow and Adam optimizers. Among models tested (Resnet 50, Inception V3, VGG 16). The VGG 16 with data augmentation achieved the highest validation accuracy of 93.33% and minimal loss (0.1595%), demonstrating superior precision and generalization. This underscores the critical role of data augmentation in training robust AI models for effective Bacterial Spot detection in tomatoes, offering significant potential for improving agricultural outcomes in Mozambique.
Glider-Based Microstructure Measurements of Enhanced Diapycnal Mixing along the Continental Slope of the Western Gulf of Mexico
Authors: Molodtsov Sergey , Anis Ayal , Amon Rainer M. W. , Meunier Thomas , Perez-Brunius Paula , Sheinbaum Julio , Candela Julio
Published: September 2024

Glider-based microstructure observations combined with ship-based conductivity–temperature–depth profiles were collected on the western part of the Gulf of Mexico (GoM), within the steep continental slope region in November 2017. Dynamical processes associated with bathymetry were observed, and enhanced mixing along the continental slope was detected, with diffusivity values as high as 10
−3
m
2
/s. Recent studies proposed a conceptual model of deep GoM circulation where deep water entering the GoM sinks and fills the deep GoM through the Yucatan Channel. We hypothesize that to retain mass balance, this continuously supplied deep water has to upwell and create intermediate water, which forms the outflow of the GoM, ventilating the deep GoM on time scales of ~100 years. The western GoM has areas with steep continental slopes, where enhanced mixing likely results in the transformation and upwelling of deep water.
СЕПАРАЦІЯ ВІД БАТЬКІВСЬКОЇ СІМ’Ї ЯК ЧИННИК ПСИХОЛОГІЧНОГО БЛАГОПОЛУЧЧЯ СТУДЕНТІВ
Authors: Kramchenkova Vira , Volos Olena , Vasylevych Khrystyna
Published: September 2024

Актуальність. Переживання сепараційної кризи особистості є важливим етапом у житті людини. Проблема психологічного благополуччя особистості у період сепараційної кризи студентського віку вивчена недостатньо, зокрема бракує даних щодо особливостей прояву сепарації у інтрапсихічному просторі, стратегій подолання кризових переживань, зокрема сепараційної тривоги. Крім того, недостатньо вивченою виявляється взаємодетермінація параметрів сепарації та психологічного благополуччя.

Мета дослідження полягає у визначенні особливостей та взаємозв'язків психологічних проявів сепарації на внутрішньо-особистісному рівні та характеристик психологічного благополуччя студентів.

Методи. Опитувальник «Psychological Separation Inventory» (PSI), «Індекс життєвого стилю» (LSI) Р. Плутчик, Х. Келлерман, Опитувальник сепараційної тривоги дорослих «Adult Separation Anxiety Questionnaire, ASA-27)», «Шкала психологічного благополуччя» К.Ріфф, «Шкала задоволеності життям» Е. Дінера. У дослідженні брали участь 42 студенти українських ВНЗ у віці 19-21 рік (26 жінок та 16 чоловіків), що перебувають у сепараційної ситуації.

Результати. Визначено параметри психологічної сепарації студентів від батьків, показники сепараційної тривоги та его-захисту, що репрезентують психологічну сепарацію на внутрішньо-особистісному рівні та їх співвідношення й кореляції. Показано характеристики психологічного благополуччя й задоволеності життям досліджуваних. Виявлено кореляційні зв’язки між компонентами психологічного благополуччя та сепарації від батьків досліджуваних студентів.

Висновки. Виявлено достатньо гармонійну психологічну сепарацію досліджуваних студентів із більшим відокремленням від батька ніж від матері. Показники компонентів сепарації характеризують відокремлення у сфері прийняття та реалізації життєвих рішень при збереженні деякої спільності у поглядах на світ та життя. На інтрапсихичному рівні психологічна сепарація виявляється сепараційною тривогою високого та середнього рівню, що має зворотній зв’язок із гармонійністю сепарації від матері та когнітивним компонентом сепарації від батька. Подолання сепараційної тривоги відбувається через підвищення загального напруження психологічних захистів, перш за все, через механізми інтелектуалізації та компенсації, що показує наявність сепараційного конфлікту. Характеристика психологічного благополуччя студентів відповідає середньому рівню в цілому та за окремими компонентами, що свідчіть про достатнє суб’єктивне самовідчуття цілісності, осмисленості та задоволення життям. Встановлено позитивні кореляції загального показнику сепарації із цілями в житті та психологічним благополуччям, афективного компоненту сепарації - із позитивними відношеннями, поведінкового компоненту сепарації – із самоприйняттям, а також негативну кореляцію афективного компоненту сепарації із задоволеністю життям.
Pheochromocytoma/Paraganglioma Syndrome Type 1 Presenting with Atypical Symptoms and a Novel Pathogenic Variant in the SDHD Gene: A Case Report
Authors: Zohrehvand Elham , Injinari Nastaran , Kiani Feyzabadi Maryam , Aghili Kazem , Ghaemi Farahnaz , Azizi Reyhaneh
Published: September 2024

This case report presents a 10-year-old patient diagnosed with pheochromocytoma/paraganglioma syndrome type 1 (PPGL1), underlined by a novel heterozygous pathogenic variant (c.154_161del, p.ser52Profster14) in the SDHD gene. Initially, the patient manifested symptoms unusual for pheochromocytoma, including polyuria and polydipsia; however, further diagnostic investigations revealed a pheochromocytoma (PCC) tumor in the adrenal gland. Subsequently, whole exome sequencing (WES) test identified a pathogenic frameshift variant in the SDHD gene, strongly suggestive of PPGL1. This study highlights the importance of considering atypical symptoms in diagnosing rare pediatric pheochromocytoma/paraganglioma tumors and underscores the value of genetic testing in identifying underlying genetic causes, thereby facilitating personalized management of the condition.
Factors Affecting Brain Drain and a Solution to Reduce it in Iran’s Health System: A Qualitative Study
Authors: Ghanbari-Jahromi Mohadeseh , Ahmadi Marzaleh Milad
Published: September 2024

Background: Brain drain is an issue of concern in developing countries. Many factors are involved in this issue, and their identification can be a good guide for decision-makers at different management levels. Therefore, the present study was carried out to identify the factors affecting brain drain and solutions to reduce it in Iran’s health system. Methods: The data for this qualitative study was collected in 2023 through 15 semi-structured interviews with Iranian health experts and emigrant elites. Interviews were collected both face-to-face and virtually (on Skype and Google Meet) and analyzed using the thematic content analysis method. Results: Data analysis of the factors affecting brain drain in Iran’s health system yielded seven main categories and 45 subcategories. The main categories were "individual factors," "economic factors," "social and cultural factors," "organizational and administrative factors," "political factors," "attraction factors for destination countries," and "attraction factors of destination countries for elites." Also, the solutions were divided into four categories of "economic," "social," "organizational and scientific," and "political" factors and 19 subcategories. Conclusion: Due to the increase in brain drain in recent years, it is necessary to make a serious decision in dealing with this issue. Solutions such as creating stable economic conditions, creating an atmosphere of hope, increasing respect and dignity for elite students by politicians, using the elites in macro-decisions, and creating the job rank for honorary professors can lead to reducing brain drain and decreasing the costs of the health system.
Towards Entrepreneurial Campus Sustainability: Integrating Artificial Intelligence for Resource Allocation in Business Management
Authors: Juanda Juanda , Riansyah Reza Juang , Arsadi Arsadi , Bethany Laurens
Published: September 2024

This research delves into the utilization of artificial intelligence (AI) within the framework of campus resource allocation, with a primary focus on enhancing business management practices and fostering entrepreneurial sustainability within educational institutions. Through an innovative amalgamation of AI technology and SmartPLS methodology, the study constructs a comprehensive analytical framework aimed at tackling the multifaceted challenges inherent in resource allocation within campus environments. The findings underscore the transformative potential of AI integration in optimizing resource utilization, identifying efficiency gains, and nurturing entrepreneurial endeavors. This paper distinguishes itself from existing studies by presenting a novel approach that emphasizes the unique contributions of AI-driven solutions in both methodological innovation and practical application. By harnessing SmartPLS alongside AI, the research facilitates more accurate resource demand forecasting and enables adaptive decision-making processes, thereby contributing to the Sustainable Development Goals (SDGs), particularly in promoting quality education and sustainable management practices. The study also provides a detailed technical implementation of AI algorithms, offering valuable insights into their development and application within campus settings. The broader implications for the educational sector are explored, considering the scalability and adaptability of the proposed solutions in various educational contexts. Furthermore, the research contributes to theoretical advancements by pioneering the integration of AI and SmartPLS in campus management research, offering a fresh perspective on economic, environmental, and social impact assessments of AI-driven solutions.
AXIOLOGICAL FOUNDATIONS OF D. ČYŽEVSKY’S SCIENTIFIC METHOD IN HIS WORKS ON
SKOVORODA AND GOGOL
Authors: Тоichkina A. V.
Published: September 2024

In 1920s, D. Čyževsky developed his methodology under the influence of German
phenomenology (E.Husserl) and Russian religious philosophy (S.Frank).The scientist was
engaged in the study of Skovoroda’s and Gogol’s works practically all his life.
Čyževsky’s book about Skovoroda (“Philosophy of Scovoroda”, 1934) and his works about
Gogol still retain scientific value. Submitted article discusses the problem of
Čyževsky’s methodology, how Čyževsky analyzes the religious issues of work of art. We
explore Čyževsky’s works on Skovoroda and Gogol. In addition, the study shows that
Čyževsky’s “history of spirit” was based on the method of “spiritual typology”, which
made it possible to study the spiritual history of mankind, following the facts of the
history of literature.
"THE WORLD OF ANIMALS" IN THE DIALECT LANGUAGE PICTURE OF THE WORLD
Authors: Didkovskaya V. G. , Andreeva Y. I.
Published: September 2024

The work is devoted to the description of the dialectal linguistic picture of the
world, which, being part of the general linguistic picture, differs from the latter in
its natural character, reflects the peculiarities of the worldview, lifestyle and life
of the people. Dialect lexicography is of great importance for the study of regional
culture, since it is in the dialect dictionary that folk and peasant culture is
reflected. The vocabulary collected in dialect dictionaries is sometimes the only
evidence of the life and lifestyle of entire generations of people. When describing
dialect vocabulary, special attention is paid to the development of principles for
compiling thematic (ideographic dictionaries). The study of a thematic group, rather
than a single lexical unit, allows, on the one hand, to form the most complete picture
of the studied fragment of reality, and on the other, to study the connections and
relationships of each individual word with other words within the thematic group, i.e.
to combine the extralinguistic and linguistic aspects of the description. The article
considers the method of compiling a dictionary entry of an ideographic dialect
dictionary according to nominative nests combining dialect names of certain realities of
national life.
ETYMOLOGY AND ONTOLOGY OF THE TERM «DESIGN»
Authors: Motorina A. A. , Motorin A. L.
Published: September 2024

Based on the etymological study of the word “design”, this article reveals the
ontological roots of the phenomenon. Due to its existential properties, design today
includes the most diverse works – this is actually a creative idea (project), the
process of its implementation (design activity) and the result (product). According to
the historiographical review of definitions and typology of design in Russian and
English-language literature, it is proposed to take design, practice orientation
(functionality) and aesthetics as the root features of the phenomenon – properties
capable of overcoming the discreteness of postmodern culture with simulacra and
uncontrolled consumption generated by it. Based on the revealed characteristics of the
concept, the connection of design with the Creator of the Universe – the Creator of
being ‒ is traced. The term “design” turns out to be unifying and equally in demand for
philology, philosophy, theology and cultural studies.