bluuebunny/crossref_metadata_2025 huggingface dataset:
Crimen organizado en el Centro Histórico de la Ciudad de México
Authors: Díaz-Roman Mario Pavel
Published: July 2024

En el Centro Histórico de la Ciudad de México, debido a la aplicación de programas de renovación, converge paradójicamente el área con mayor cantidad de delitos de la ciudad con la zona más vigilada y con mayores recursos en seguridad. Este artículo indaga sobre los factores asociados a la percepción de la presencia del crimen organizado en la población habitante de esta zona mediante el uso de una encuesta y el ajuste de un modelo de regresión. Los resultados indican que la percepción está dada por la presencia de mercados ilegales, la intensidad de la violencia, la corrupción de oficiales públicos y la presencia de grupos con capacidad de operación, así como por los altos niveles de pobreza. Los resultados se discuten a la luz de la evidencia acumulada.
Eficacia colectiva para dos espacios urbanos en la zona metropolitana del valle de México
Authors: Fernández-Hernández José Ángel
Published: July 2024

El artículo evalúa la estructura de la medida de eficacia colectiva en dos entornos urbanos de la zona metropolitana del valle de México. Investigaciones recientes destacan la necesidad de considerar la influencia del espacio y el tiempo sobre la confianza, la cohesión social y el control social informal, revelando una composición más compleja de lo que algunos análisis anteriores presuponen. Con metodologías utilizadas en otras experiencias, el trabajo se llevó a cabo en el Centro Histórico de la Ciudad de México y Ciudad Nezahualcóyotl, estado de México, utilizando datos de una encuesta realizada entre noviembre de 2021 y enero de 2022. Los resultados indican que cada espacio urbano presenta medidas distintas de eficacia colectiva, y en ambos casos se identifica una tercera dimensión subyacente a la que denominamos identificación con la colonia.
Conductas de riesgo antisocial o criminal en jóvenes de la Ciudad de México
Authors: Oropeza-Calderon Natalia , Pérez-Pérez Alejandra
Published: July 2024

Con el objetivo de aportar elementos para prevenir la violencia en la Ciudad de México, se mide, desde la perspectiva del control social, el impacto de diversas variables en la probabilidad de que jóvenes hayan tenido conductas de riesgo o antisociales mediante un modelo de regresión logística. Se emplea la Encuesta de Cohesión Social para la Prevención de la Violencia y la Delincuencia (Ecopred), aplicada a 1664 residentes de 12 a 29 años en dos alcaldías en 2014. Las variables a nivel individual o familiar como haber sido víctima de violencia, ambiente familiar conflictivo y contar con amigos con conductas de riesgo tuvieron efecto positivo. La variable de control social comunitario no fue significativa. El sexo se destacó como variable de control significativa, siendo un factor inhibidor el hecho de ser mujer.
Collective Action and Sociological Research Networks in the Fight against Crime in Brazil
Authors: Adorno Sérgio
Published: July 2024

Since the end of the civil-military dictatorship (1964-1988), Brazilian society has experienced the growth of different forms of violence that have had an impact on collective feelings of fear and insecurity whose intensity may compromise citizens’ belief in the validity of the democratic order. This situation was accompanied by the creation of a field of sociological studies that sought to understand the reasons for this growth and the possibilities of internal pacification of contemporary Brazilian society. The article, based on documentary research, reconstructs the creation and development of the field of study of the sociology of violence in its connections with organized civil society. It seeks to explore the hypothesis according to which the problem of legal control of public order arises from disputes in the field of public security.
Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis
Authors: Miao Yiqun , Luo Yuan , Zhao Yuhan , Liu Mingxuan , Wang Huiying , Wu Ying
Published: July 2024

Background

Nonadherence to medication among patients with cardiovascular diseases undermines the desired therapeutic outcomes. eHealth interventions emerge as promising strategies to effectively tackle this issue.

Objective

The aim of this study was to conduct a network meta-analysis (NMA) to compare and rank the efficacy of various eHealth interventions in improving medication adherence among patients with cardiovascular diseases (CVDs).

Methods

A systematic search strategy was conducted in PubMed, Embase, Web of Science, Cochrane, China National Knowledge Infrastructure Library (CNKI), China Science and Technology Journal Database (Weipu), and WanFang databases to search for randomized controlled trials (RCTs) published from their inception on January 15, 2024. We carried out a frequentist NMA to compare the efficacy of various eHealth interventions. The quality of the literature was assessed using the risk of bias tool from the Cochrane Handbook (version 2.0), and extracted data were analyzed using Stata16.0 (StataCorp LLC) and RevMan5.4 software (Cochrane Collaboration). The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach.

Results

A total of 21 RCTs involving 3904 patients were enrolled. The NMA revealed that combined interventions (standardized mean difference [SMD] 0.89, 95% CI 0.22-1.57), telephone support (SMD 0.68, 95% CI 0.02-1.33), telemonitoring interventions (SMD 0.70, 95% CI 0.02-1.39), and mobile phone app interventions (SMD 0.65, 95% CI 0.01-1.30) were statistically superior to usual care. However, SMS compared to usual care showed no statistical difference. Notably, the combined intervention, with a surface under the cumulative ranking curve of 79.3%, appeared to be the most effective option for patients with CVDs. Regarding systolic blood pressure and diastolic blood pressure outcomes, the combined intervention also had the highest probability of being the best intervention.

Conclusions

The research indicates that the combined intervention (SMS text messaging and telephone support) has the greatest likelihood of being the most effective eHealth intervention to improve medication adherence in patients with CVDs, followed by telemonitoring, telephone support, and app interventions. The results of these network meta-analyses can provide crucial evidence-based support for health care providers to enhance patients’ medication adherence. Given the differences in the design and implementation of eHealth interventions, further large-scale, well-designed multicenter trials are needed.

Trial Registration

INPLASY 2023120063; https://inplasy.com/inplasy-2023-12-0063/
A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review
Authors: Wang Zhaoxin , Yang Wenwen , Li Zhengyu , Rong Ze , Wang Xing , Han Jincong , Ma Lei
Published: July 2024

Background

Stroke is a leading cause of death and disability worldwide. Rapid and accurate diagnosis is crucial for minimizing brain damage and optimizing treatment plans.

Objective

This review aims to summarize the methods of artificial intelligence (AI)–assisted stroke diagnosis over the past 25 years, providing an overview of performance metrics and algorithm development trends. It also delves into existing issues and future prospects, intending to offer a comprehensive reference for clinical practice.

Methods

A total of 50 representative articles published between 1999 and 2024 on using AI technology for stroke prevention and diagnosis were systematically selected and analyzed in detail.

Results

AI-assisted stroke diagnosis has made significant advances in stroke lesion segmentation and classification, stroke risk prediction, and stroke prognosis. Before 2012, research mainly focused on segmentation using traditional thresholding and heuristic techniques. From 2012 to 2016, the focus shifted to machine learning (ML)–based approaches. After 2016, the emphasis moved to deep learning (DL), which brought significant improvements in accuracy. In stroke lesion segmentation and classification as well as stroke risk prediction, DL has shown superiority over ML. In stroke prognosis, both DL and ML have shown good performance.

Conclusions

Over the past 25 years, AI technology has shown promising performance in stroke diagnosis.
A nationwide physical activity intervention for 654,500 adults in Singapore: a cost-utility analysis (Preprint)
Authors: Ang Gregory , Tan Chuen Seng , Teerawattananon Yot , Müller-Riemenschneider Falk , Chen Cynthia
Published: July 2024

BACKGROUND

Increasing physical inactivity is a primary risk factor for diabetes and hypertension, contributing to rising healthcare expenditure and productivity losses. As Singapore's ageing population grows, there is an increased disease burden on her health systems. Large-scale physical activity interventions could potentially reduce the disease burden but face challenges in the uncertainty of long-term health impact and high implementation costs, hindering their adoption.

OBJECTIVE

We examined the cost-effectiveness of the Singapore National Steps Challenge (NSC), an annual nationwide mHealth intervention to increase physical activity, from both the healthcare provider’s perspective which only considers the direct costs and the societal perspective which considers both the direct and indirect costs.

METHODS

We used a Markov model to assess the long-term impact of increased physical activity from NSC on adults aged 17 and above. A Monte Carlo simulation with 1,000 samples was conducted to compare two situations: NSC conducted yearly for 10 years against a no-intervention situation with no NSC. The model projected inpatient and outpatient costs and mortality arising from diabetes and hypertension, and their complications. Health outcomes were expressed in terms of the quality-adjusted life-years (QALYs) gained. All future costs and QALYs were discounted at 3% per annum. Sensitivity analyses were done to test the robustness of our model results.

RESULTS

We estimated that conducting NSC yearly for 10 years on a mean cohort size of 654,500 participants is projected to prevent 6,200 diabetes cases (95% credible interval 3,700 to 9,100), 10,500 hypertension cases (6,550 to 15,200) and 4,930 deaths (3,260 to 6,930). This led to a reduction in healthcare costs of SGD448 million (132 million to 1.09 billion). There would be 78,800 QALYs (55,700 to 102,000) gained. Using a willingness-to-pay threshold of SGD10,000 per QALY gained, NSC would be cost-saving. When indirect costs were included, NSC was estimated to reduce societal costs by SGD1.41 billion (353 million to 3.80 billion). The model was most sensitive to changes in the inpatient cost of treatment for diabetes complications, time horizon and programme compliance.

CONCLUSIONS

In this modelling study, increasing physical activity by conducting a yearly nationwide physical activity intervention was cost-saving, preventing diabetes and hypertension and reducing mortality from these diseases. Our results provide important information for decision-making in countries that may consider introducing similar large-scale physical activity programmes.

CLINICALTRIAL
A Comparative Study of China's Ecological Image Constructed by Chinese and British Media Discourse on the Belt and Road Initiative in 2023 Based on Transitivity System
Authors: Zhang Mingfang , Ling Xinyue
Published: July 2024

The paper adopts a combination of qualitative and quantitative research methods to compare China’s ecological image constructed in the Belt and Road Initiative Reports in 2023 between China Daily and Reuters. It finds that China Daily's news reports on the Belt and Road involve material processes (59.8%)> verbal processes (19.5%) >mental processes (12.6%)>relational processes (6.6%)> existential processes (1.5%). Reuters’ news reports on the Belt and Road involve material processes (52.1%)>verbal processes (26.1%)>relational processes (16.1%), existential processes (3.8%)>mental processes (1.9%). The use of transitivity in the China Daily constructs an ecological image that is committed to rejecting political struggles, and pursuing peaceful and green development. In contrast, Reuters’s use of transitivity constructs an ecological image that pursues green development, but with an arrogant posture. The reason for the difference is that China Daily is influenced by the Chinese government’s ideology and political aims, while Reuters is influenced by Western values and strategic considerations of China's threat.
Research on the Motivation and Effect of Longfor Group's Transformation to Asset-light Operation Mode
Authors: Li Siqi
Published: July 2024

Since the real estate marketization reform in 1998, China's real estate industry has continued to focus on asset operation mode, at that time in the golden period of the industry, real estate enterprises only need to hoard a lot of land, wait for the appreciation of the land and then resell, you can get considerable returns. However, in the context of the current slowdown in the economic growth of China's real estate industry, it is difficult for commercial real estate enterprises to continue to operate with heavy assets, so such enterprises begin to seek transformation, and want to change a profit model to match the current market. As a new way for enterprises to accumulate core competence and maximize value, "asset-light operation" model has been highly valued by the academic and business circles. This paper takes Longfor Group, a representative real estate enterprise, as the research object, and makes an in-depth analysis of the company's finance from the perspective of its financial characteristics and financial performance, in order to provide certain theoretical references for the successful application of the transformation and development of similar companies.
Analysis of the Influence path of BYD ESG Practice on Enterprise Value
Authors: Xi Luyao
Published: July 2024

The "dual-carbon" goal proposed by the state not only emphasizes that enterprises should adopt the concept of sustainable development, but also sets standards for enterprises to pursue high-quality growth. The practice of ESG (environmental, social and corporate governance) coincides with this goal, and with its development, investors are paying more and more attention to the ESG performance of enterprises, making it an important standard to evaluate the performance of corporate social responsibility. This study takes BYD as a case to explore the company's performance in the three dimensions of environmental protection, social responsibility and corporate governance, and how these practices affect corporate value. The research results aim to provide a reference for other enterprises in the industry and guide them to optimize their own ESG strategies to promote the long-term and stable development of enterprises.
Research on Financial Fraud of Selen Technology
Authors: Tian Xiaoqing
Published: July 2024

China's Construction of High-quality Capital Market Holds Zero Tolerance to Financial Fraud of Listed Companies. Selen Technology was listed on the Shenzhen Stock Exchange in 2010. In 2020, it was disclosed by the CSRC that it had engaged in financial fraud for three consecutive years from 2016 to 2018, with inflated profits of up to RMB180 million. In this paper, Selen Technology is selected as a case company, and the motivation, means and causes of financial fraud are analyzed based on fraud triangle theory, and the corresponding governance measures are given.
Carvalho-Transformations: A Robustness Analysis in the Forecasting Domain
Authors: Heilig Frank , Holton Gina , Lusk Edward J.
Published: July 2024

Context Transformations of Panel-data values are routinely made for qualifying datasets with the intention of enhancing the quality of the decision-making-intel that may be gleaned from inferential-testing. Interestingly, there seems to be a “Spill-Over” of this “Conditional Data-Transformation Imperative” that impacts the development and execution of forecasting-protocols.Focus We offer inferential-tests of Transformations applied to randomly selected S&P500 Firm-datasets to address the following research Questions of Interest:(1) Is there Transformation-Jeopardy if the wrong Box-Cox-Carvalho-Transformations are selected re: (a) The Capture Rate Profiles for the 95% Forecasting Prediction Internals Or (b) The Relative Absolute Forecasting Error [RAFE] for the Forecasting Predictions?(2) In a consulting context, when Transformations are correctly used, the client almost always requires that the forecasts be re-transformed to the original measure of the data. Is there a Re-Transformation-Jeopardy re: the forecasting decision-intel needed to inform the decision-making processes of the client?Results We found that the theoretical expectations for the 95% Forecasting Prediction Intervals were founded even if the transforms were not to have been correctly selected. However, if the wrong transformation was to have been selected, non-trivial RAFEs are the likely result. Finally, if the correct transformation was to have been selected, re-Transformations to the original data-measures likely will inform the decision-making processes.
Prevention of School Attendance Problems in Japan: A Macro-Level Perspective on Avoidance Behaviour
Authors: Maeda Naoki , Someya Mami , Hatada Soichiro
Published: July 2024

In this study, we examined government policies and the relevant law on prevention measures for school attendance problems in Japanese compulsory education schools from the perspective of school avoidance behaviour. In summary: (a) the number of students with school attendance problems has been increasing rapidly since 2017; (b) despite an increase in school counsellors as a government-initiated prevention measure, the number of students with school attendance problems has risen; (c) government policies and the relevant law seek to foster social independence even for students unable to return to school and to provide spaces where students with school attendance problems feel comfortable, which may inadvertently reinforce or perpetuate school avoidance behaviour; and (d) in the Japanese compulsory education system, stakeholders have limited opportunities to block school avoidance behaviour. We propose two measures to prevent school attendance problems drawing on a macro-level behavioural perspective: (a) employing data on class absences in mainstream schools, regardless of the reason for the absence, as an evaluation criterion for prolonged school absenteeism, and (b) implementing appropriate grade repetition for students who miss classes in their mainstream school over a certain threshold, including withholding the school diploma.
An Investigation of Seismic Behaviour of Prestressed Concrete Frame Structures using Pushover Analysis
Authors: Mony Ratanak
Published: July 2024

Abstract: The prestressed concrete system is a prominent material in civil engineering, with applications ranging from buildings, bridges, foundations, piling, silos, stadiums, roadways, and other infrastructure. However, this work is primarily concerned with its applicability to building frame constructions subjected to seismic loading. The prestressed concrete system for frame constructions not only reduces the amount of structural components, but it is also a cost-effective technology that provides outstanding strength and stiffness, as well as quick and simple site erection. Hence, we will be able to use these prestressed concrete components to their full capacity, unlocking engineering and social benefits that were previously impossible. Prestressed concrete designs, as opposed to reinforced concrete designs, can give structures with substantially longer spans, no cracks, or fewer cracks with tiny crack widths. Nonetheless, research on the seismic behaviour of prestressed concrete frame structures is relatively restricted, with the majority of studies focusing on reinforced concrete structures. Finally, the provisional versions of modern building codes such as ACI 318, GB50010, and EC2 do not provide thorough processes for seismic design of prestressed concrete structures. In this work, the seismic design and behaviour of prestressed concrete building frames are explored using the most recent design code. Three model-building codes will be investigated and compared, including ACI 318- 14, Eurocode 2004-2, and Chinese GB500010-2010. The 10-story prestressed concrete frame system is subjected to gravity and seismic loading, and the strong-column weak beam mechanism is archived to conform with the newly implemented building design code. To examine the behaviour of prestressed concrete frame structures, nonlinear static pushover analysis is used to capture the reaction under earthquake loading. The stiffness and strength needed will be designed in compliance with the three major building codes indicated. In addition, the finite element model will be created using CSI Sap200 to capture its actions.
Rice Leaf Disease Recognition using CNN
Authors: Meghana Chinthalapati
Published: July 2024

Abstract: The occurrence of bacterial, viral, and fungal diseases on rice leaves significantly hampers rice production, posing a challenge to meet global demand for the staple crop. While the detection of rice leaf diseases is crucial, existing methods are constrained by limitations in image backgrounds and capture conditions. Convolutional Neural Network (CNN) models have emerged as a usefull avenue for disease recognition in rice leaves, yet current approaches suffer from decreased recognition rates when applied to independent datasets and are constrained by the need for large-scale network parameters. In this project, we propose an innovative CNN-based model aimed at mitigating these challenges by reducing network parameters. Through training multiple CNN- basedmodels to identify three common rice leaf diseases, our study aims to showcase the effectiveness and superiority of our approach compared to state-of-the-art CNN-based models for rice leaf disease recognition.
Statistical Analysis of Factors Influencing Stress and Resilience in High School Students in Visakhapatnam Region
Authors: Rao Tedlapu Narayana , Subbarao Dr. Uppu Venkata , Rajani Prof. S.
Published: July 2024

Abstract: This paper investigates the factors influencing stress and resilience among high school students. We employed a binary logistic regression model to assess the relationship between independent variables (academic workload, family support, extracurricular activities, peer relationships, etc.) and dependent variables (stress and resilience). A diverse sample of 85 high school students (grades 10-12) from various schools in the region of Visakhapatnam was collected by using stratified random sampling. In this sample, using the proportional allocation technique, 37 are from grade 10, and 48 are from grade 11 and 12. Data was collected through a questionnaire, and binary logistic regression was fitted using the statistical software package SPSS and gave valid conclusions and recommendations.
Análise do perfil de devoluções de quimioterapias endovenosas em um hospital filantrópico de Salvador-BA
Authors: Santos Mariana Saraiva dos , Bacelar Luana Santana , Da Silva Félix Soane , Araújo Patricia Lima de , Azevedo Regina Maria da Hora dos Santos , Bendicho Maria Teresita , Xavier Rosa Malena Fagundes
Published: July 2024

Introduction: The increase in the costs of cancer treatments is configured as a relevant problem for health services linked to the constant incorporation of new drugs for cancer treatment. This growth in expenses reflects the challenge of managing resources to meet the needs of the oncologic area. It is necessary to optimize resources in view of the growing demand and associated costs. In the scenario where patients receive personalized treatments, changes in therapy are possible, causing some returns of antineoplastic drugsand increasing costs in health services. Objective: To analyze the profile of returns of chemotherapy drugs handled by the Pharmacy sector and the relationship with costs in a philanthropic hospital in Salvador. Method: This was a cross-sectional, retrospective, and analytical study conducted between August 2019 and August 2020. Data were collected through forms obtained after the return of chemotherapy. Information such as the drug name, dose, reuse status, and reason for return were evaluated. Data were tabulated using SPSS software. Results: 171 chemotherapy bags were returned involving 19 active ingredients. The clinical factor accounted for 59.1% of the returns. Cisplatin accounted for 14.6% of the returns. Carboplatin was the most discarded drug, representing 16.9% of the lost bags, whereas Cisplatin had the highest rate of reuse. In pharmacoeconomics, the returns represented the value of R$ 13,887.87. The hospital lost R$ 7,475.61 with the discarded products but saved R$ 6,412.21 through reuse. Conclusions: Oncology needs to be linked to pharmacoeconomics and to minimize discards, strategies should be adopted.
Produção artesanal de alimentos lácteos em Goiás: análise de normativas e cenário do Selo Arte
Authors: Coelho Lara Bueno , Corcioli Graciella , Cruz Fabiana Thomé da
Published: July 2024

Introduction: The State of Goiás has significant food production from family rural agro-industries. Objective: Considering this scenario and the recent publication of legislation on the crafting of foods of animal origin, the objective of this article was to broaden the debate on the topic through a historical-critical analysis of the federal and state regulations in Goiás, as well as to characterize the enterprises that were granted Selo Arte in the state. Method: Documentary research was carried out in order to identify the current legislation, and field research was conducted using a questionnaire that was applied to all five producers who acquired Selo Arte in Goiás. Results: As a result, it was observed that there are many gaps and bottlenecks in the legislation related to artisanal products, which hinder the formal commercialization of artisanal products and the regularization of rural agro-industries. As for the Goiás enterprises that have the Selo Arte, despite having some similarities, it was not possible to identify a characteristic pattern, most likely because the legislation is recent and few establishments have obtained the concession, which does not generate a significant quantity for comparisons. Conclusions: In conclusion, it was observed that it is essential to improve legislation at the federal, state, and municipal levels with a view to encouraging the legalization of food processing from rural agro-industries, especially family-owned ones.
Inklusi Sosial dan Keberagaman di Desa Tangguh Bencana: Studi Kasus Gampong Jawa, Banda Aceh
Authors: Fatimahsyam Fatimahsyam
Published: July 2024

This article investigates disaster mitigation efforts in Gampong Jawa, Banda Aceh, focusing on the integration of diverse community elements following the devastating earthquake and tsunami on December 26, 2004. Emphasizing geographical and demographic specifics, it assesses disaster risk levels and describes the formation process of the Disaster Resilient Village (Desa Tangguh Bencana/DESTANA). The study employs a qualitative phenomenological approach to capture narratives of lives impacted by disasters and communal efforts in disaster management. The findings highlight the pivotal role of social inclusion in disaster preparedness, where high community diversity offers both challenges and opportunities for building disaster resilience. Despite improvements in disaster readiness through the DESTANA program, substantial challenges persist in internalizing disaster knowledge among immigrant populations and the disabled. This study underscores the importance of cross-sector collaboration and the utilization of local social capital to enhance the effectiveness of disaster management programs, promoting community resilience and proactive participation in disaster preparedness.
Abstrak
Artikel ini mengeksplorasi upaya mitigasi bencana di Gampong Jawa, Banda Aceh, dengan fokus pada cara komunitas yang beragam berintegrasi setelah gempa bumi dan tsunami yang merusak pada 26 Desember 2004. Dengan menyoroti detil geografis dan demografis, penelitian ini mengkaji tingkat risiko bencana dan menguraikan proses pembentukan Desa Tangguh Bencana. Melalui pendekatan kualitatif fenomenologis, studi ini menggali narasi dari kehidupan yang terpengaruh oleh bencana dan upaya komunal dalam manajemen bencana. Hasilnya menunjukkan bahwa inklusi sosial memiliki peranan penting dalam persiapan menghadapi bencana, dimana keragaman tinggi dalam komunitas menyajikan baik tantangan maupun peluang dalam membangun ketangguhan bencana. Meskipun program DESTANA telah membawa peningkatan dalam kesiapsiagaan menghadapi bencana, masih terdapat tantangan besar dalam menginternalisasikan pengetahuan tentang bencana, khususnya di antara penduduk pendatang dan kelompok disabilitas. Penelitian ini menegaskan pentingnya kolaborasi antar lembaga dan pemanfaatan kapital sosial lokal untuk memperkuat efektivitas program pengelolaan bencana, tidak hanya memperkuat ketangguhan komunitas terhadap bencana tetapi juga mendukung pembelajaran bersama dan partisipasi aktif dari semua anggota masyarakat.
The activity of the TAD of the Khabarovsk Territory in 2015–2021
Authors: Paliyuk K.I. ,   The Russian Presidential Academy of National Economy  and  Public  Administration,  the  Far-Eastern  institute of management – branch  of  RANEPA
Published: July 2024

The economic results of the territories of advanced development (TAD) of the Khabarovsk Territory are the subject of the article. Residents of the territories carry out economic activities reflected in four main aspects: investment, export, fiscal and formation of the labor market. Based on the analysis of specific indicators the author concluded that the impact of investments in fixed assets in regional processes of the TAD is increasing. The insignificant influence of the TAD on the functioning of the labor market has been established due to the demographic problems of the Khabarovsk Territory (a decrease in the population and an increase in migration outflow), as well as incomplete fulfillment by residents of the TAD of planned indicators for job creation. It was noted that stimulation by regional authorities of the TAD’s residents export activities, as well as application of customs procedures of the free customs zone, led to positive results – an increase in the share of net exports of the TAD in regional indicators. The dynamics of the share of payments by residents of the TAD in the revenues of the consolidated budget of the Khabarovsk Territory is studied. It is determined that an insignificant share of payments to the regional budget is explained by the fact that the activities of the TAD have not reached full capacity (comparing planned and actual achieved indicators – concluded agreements, investments, and jobs created). Based on the generalization of the economic results, it is concluded that the presence of TAD in the economy of the Khabarovsk Territory is growing.
Artificial intelligence in the real sector of economy (on the example of the food industry)
Authors: Aleshkov A.V. ,   Тhe Pacific State University, Sinyukov V. A. , Ivashkin M.V. ,   Тhe Pacific State University,   Тhe Pacific State University
Published: July 2024

The study is based on the hypothesis that the implementation of artificial intelligence into the real sector of economy is inevitable. The authors consider the regulatory framework of artificial intelligence as well as its historical aspects. The basic trajectories of the artificial intelligence implementation on the example of the food industry (modeling and optimizing food technologies, identification, assessing the quality and safety of food products) are indicated. It was noted that the prerequisite for implementation of artificial intelligence technologies in the food industry is a clearly outlined transition from mass nutrition to personalized, associated with the production of mainly combined products of complex ingredient and chemical composition. Applying of artificial intelligence technologies can significantly optimize the resource of time, increase the efficiency and accuracy of purchases, help reduce the cost of purchasing products, eliminate biases in decision-making, and provide the most personalized recommendations for buying goods. The study results include the analysis of Russian and foreign scientists researches in the field of artificial intelligence and its application in the food industry. The research methodology is based on such theoretical methods as comparison, analysis, systematization, deduction, abstraction, and generalization. The article also reveals legal and conceptual aspects of artificial intelligence application, its advantages and possibilities, considers promising areas for further penetration of artificial intelligence in the food industry.
Features of Assessing the Image of the PRC Abroad on the Example of News Coverage of COVID-19
Authors: Ivannikov N. S. , Pravdina E. E.
Published: July 2024

The article examines the foreign policy image of the People’s Republic of China in the reflection of foreign news media in covering a negative topic closely related to China — the COVID-19 pandemic, and analyses the possibility of forming a positive image by conducting foreign policy.Aim. To assess the foreign policy image of the People’s Republic of China based on content analysis of online news media and determine whether there is an opportunity to improve it in the international arena when considering the initially negative situation.Methods. To determine the specifics of coverage of the coronavirus pandemic in the English-language media, a qualitative and quantitative content analysis of The Guardian and The Washington Post corpuses, totalling 172 articles, was conducted according to a set of parameters developed by the authors, including the possibility of sample formation, lexical analysis of headlines, tonality analysis and frame analysis.Results. Within the 6 criteria analysis, the following results were obtained: the degree of intensity of coverage was rated as high, headline analysis showed a decrease in negative connotations in the second macro-period, the positive tone of the corpora increased by 10–20% by 2021, the qualitative analysis of the tone of the text showed the importance of international cooperation when describing the topic related to China, where one of the key words is “support”, and also confirms the existence of theories about the leakage of the virus and its artificial origin in the West and the United States.Conclusion. The study concluded that negative assessments of the image of the People’s Republic of China prevail in the Western news media, which is due to the coverage of an initially negative topic, as well as the coverage of a state with an ideology different from the West, the creation of sensational material by criticizing another state, and the dissemination of conspiracy theories about the creation of a coronavirus in laboratory conditions. At the same time, the possibility of the state to improve its own image in the foreign news media by implementing a well-considered friendly foreign policy was established.
The Commercial Importance of the Suez Canal in the Context of the Crisis of Economic Globalization and Modern Geopolitical Risks
Authors: Shumilov M. M. , Malova A. E.
Published: July 2024

Aim. To substantiate the regularity of the violation of commercial navigation along the Suez Canal in the context of the crisis of economic globalization and the reformatting of the international order.Tasks. To find out the main prerequisites for the decline of the global transport and logistics infrastructure. To specify the reasons for the violation of navigation in the Red Sea. To show the impact of the decline in cargo transportation through the Suez Canal on the global economy.Methods. In order to achieve the stated purpose of the study, the following methods were used: historicism, which allowed to establish the sequence of crisis manifestations during the operation of the Suez Canal; extraction of relevant information from media materials and its subsequent analysis, which showed the geo-economic importance of the Red Sea area for world navigation, the scale of disorganization of transport communication through the Suez Canal; structural and functional analysis, which contributed to the establishment of the importance of transport logistics in ensuring the smooth functioning of the global economy; a rational choice that brought the authors closer to understanding the motives of the behavior of economic and political actors in the conditions of disorganization of cargo transportation through the Red Sea.Results. The analysis of the main prerequisites for reformatting global transport logistics has been carried out. It is shown that the decline of shipping in the Red Sea is conditioned by the crisis of economic globalization and increased geopolitical risks. The reasons for the violation of navigation in the Red Sea have been established. The impact of the disruption of cargo transportation through the Suez Canal on the global economy has been revealed.Conclusions. The destabilization of global transport routes through the Red Sea seems logical. It is obviously conditioned by the slippage of the neoliberal economic mechanism and the increasing geopolitical competition of Western countries with new centers of economic and political influence. Wars in the Middle East continue to have a destructive impact on the functioning of the global economy. The decline in cargo transportation leads to further disintegration of the previously established global markets. Global shipping companies have taken care of finding safer cargo movements. Producers and consumers of goods and services are forced to look for new partners within national and regional spaces, create new and activate existing transport corridors, which implies increased protectionism, and, therefore, leads to undermining the foundations of the global economy and the unipolar world.
International Regulation of Pensions in the EAEU: Problems and Development Prospects
Authors: Moseiko V. V.
Published: July 2024

The EAEU countries, having adopted the Agreement on Pension Security in 2019, took a big step forward to form the pension rights of migrants from the EAEU countries. However, existing difficulties caused by economic, demographic characteristics and institutional differences make us think about further steps to harmonize, unify and coordinate the pension systems of the EAEU countries.Aim. Consider themechanisms and the principles of international regulation of pensions in the EAEU countries and identify limitations and opportunities for its further improvement.Tasks. Explore global experience of cooperation in the pension sector; conduct an analysis of international regulation of pensions in the post-Soviet space and in the EAEU countries; identify difficulties in forming pension rights for migrants from EAEU countries; to find possible directions for the further development of pension legislation in the EAEU countries.Methods. The comparative analysis method was used to study national old-age pension systems; when determining the directions for the development of old-age pensions for migrants in the world, the historical and legal method was used.Results. The world experience of international regulation of pensions is considered.Differences were discovered in the formation of pension rights in the EAEU countries.The mechanisms of harmonization and coordination, as well as the territorial and proportional principles of legal regulation of old-age pensions are analyzed. The difficulties of forming pension rights for migrants from the EAEU countries are shown.Conclusions. The current approach to regulating pensions in the EAEU is not perfect, but it allows countries to remain independent in their national pension policies. Overcoming the existing difficulties in the formation and implementation of pension rights is possible with further harmonization, unification and coordination of the EAEU pension systems, which are complicated by the economic and demographic operating conditions and the lack of a unified strategy for the development of pensions in the EAEU. A fundamental issue for all countries is to determine the role of the state in the pension process.
Viktor Kirilenko — Devotee of Russian Legal Science
Authors: Alekseev G. V. , Sergevnin S. L.
Published: July 2024

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Common Financial Market of the EAEU: Concept, Structure and Problems of Formation
Authors: Agamagomedova S. А.
Published: July 2024

Aim. The purpose of the study is to substantiate the concept and structure of the common financial market of the Eurasian Economic Union, highlight the problems of its formation and ways to solve them. Tasks. The objectives of the study are: review and analysis of the definitions of the common financial market in the legal framework of the Eurasian Economic Union; highlighting key aspects of the development of the common financial market; defining its structure, problems of formation, proposing ways to solve them.Methods. Methods were used: institutional analysis, comparative analysis, system analysis to substantiate aspects of the formation and structure of the common financial market of the Eurasian Economic Union. The method of formal logical analysis was also used to clarify the concepts of the common financial market in various acts of the integration level.Results. Firstly, at the level of the Eurasian Economic Union, the concept and criteria of a common financial market have been established.Secondly, a broad and narrow understanding of the structure of the common financial market in the context of Eurasian integration is highlighted.Thirdly, the key aspects of the development of the common financial market are: expanding the range and accessibility of financial services; ensuring the rights of consumers of financial services and investors; security and transparency of financial services.Fourthly, the problems of forming a common financial market are highlighted, including the different levels of development of the markets of the integration member states, the weak sector of the securities and investment markets.

Conclusions. The common financial market is part of Eurasian integration, the processes of formation of such a market are components of integration processes. The structure of the general financial market in the narrow sense includes the banking and insurance services sector, the securities market sector, and the relations between these sectors. A broad understanding of the structure of the general financial market additionally includes the tax, budget and currency areas.
Deleuze and the Hegelian state
Authors: Ferreyra Julián
Published: July 2024

This paper analyses Gilles Deleuze?s political philosophy in relation to the
Hegelian concept of the State. To do this, we identify three interpretations
of the term ?State? in Deleuze?s work: 1) as the reference point defining
the three forms of socius presented in Anti-Oedipus (primitive territorial,
barbarian despotic, and civilized capitalist); 2) as a defining trait of the
despotic socius form; and 3) as the internalization of this form (Urstaat).
Deleuze emerges as a harsh critic of the State in each of these
interpretations. However, the subsequent part of the paper reveals that this
critique does not advocate for societal fragmentation. By comparing
Deleuze?s political philosophy with Hegel?s, we demonstrate that the forms
of socius in Deleuze?s system occupy the conceptual place of the State in
Hegel?s framework. Through an exploration of the role of differential
calculus in the ontology of both philosophers, we establish the groundwork
for a philosophical examination of the dominant social relation in the
modern world (which is capitalism and not the State) and the prerequisites
for a novel political socius.
What is engagement?
Authors: Balibar Etienne
Published: July 2024

This text explores the nuances of choice and consequence through the philosophical lenses of Pascal and Sartre. It contrasts Pascal?s transcendental faith-based approach with Sartre?s terrestrial decision-making, emphasizing the inherent paradox of engagement beginning before choice. It argues that authentic choice demands embracing the unknown and its extreme consequences, rejecting the spectator?s role for active participation. The text also examines the intellectual?s duality, caught between bourgeois origins and subaltern solidarity, and the antinomy of integrating science and revolution. It concludes with reflections on the intellectual?s role in revolutionary movements, highlighting the necessity of continuous critical engagement and the interplay of truth and error.
Evidence of helminthic infestation and efficacy of anthelminthic treatment in children investigated for eosinophilia
Authors: Rodic Predrag , Cazic Marija , Skoric Dejan , Lazic Jelena , Milosevic Goran , Jankovic Srdja , Krstovski Nada
Published: July 2024

Background/Aim. The cause of eosinophilia often remains unelucidated. The aim of the study was to analyze causes and treatment approaches in children with eosinophilia in pediatric tertiary care hospital. Methods. The medical records of children investigated for eosinophilia (based on the International Classification of Diseases code D72.1) were retrospectively reviewed in the University Children?s Hospital, Belgrade, Serbia, from December 2011 to December 2022. A total of 105 children (62 boys; male:female ratio was 1:4) aged one month to 16.5 years (median 7.7 years) were diagnosed with eosinophilia. After excluding 15 of them due to incorrectly assigned diagnosis based on relative eosinophil number only, the remaining 90 children were grouped according to the severity of eosinophilia (mild, moderate or severe). Results. Serological analysis con-firmed toxocariasis in six (6.7%) patients, while two (2.2%) had a confirmed nematode infestation (Ascaris lumbricoides and Enterobius vermicularis, respectively). Thirty-two (35.6%) children with eosinophilia and three with no true eosinophilia were diagnosed with helminthiasis ex juvantibus. Eosinophilia was ultimately explained by allergic/atopic conditions [19 (21.1%)], drug reactions [four (4.4%)], bacterial infections [nine (8.9%)], hematological problems [five (5.5%)], autoimmune disorders [three (3.3%)], unrelated congenital disorders (one), or as an isolated finding [seven (7.8%)]. In addition, one of the children without an increased absolute eosinophil number was diagnosed with eosinophilic esophagitis. A total of 56 (53.3%) children received anthelminthic treatment: 9 (90.0%) with severe eosinophilia, 19 (51.4%) with moderate, 23 (53.5%) with mild, and 5 (33.3%) children with no true eosinophilia. Most (42) of the children were given mebendazole only, while the remaining 14 (eight with severe, three with moderate, and three with mild) were also initially treated with mebendazole but subsequently shifted to albendazole due to the persistence of eosinophilia. In all treated children, eosinophilia and other relevant findings (if any) subsided in a matter of a few days to a few weeks after initializing treatment. Conclusion. Our results support the recommendation that unexplained eosinophilia of all levels of severity requires a standardized diagnostic approach. The results also provide some support for a potential rational basis for ex juvantibus administration of anthelminthic drugs in a fraction of children with eosinophilia without an obvious etiological explanation.