bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-sanction and sanction economic policy of Russia in 2022–2025. Part 3: analysis of anti-crisis measures, managing Russian sanctions and anti-sanctions
Authors: Manushin D. V. 
Published: June 2024

Objective: to propose anti-sanction and sanction measures based on the analysis of the external and internal environment of the Russian economy and anti-crisis measures implemented by the Russian government.Methods: techniques of abstract-logical method were used, such as analysis, synthesis, deduction, induction, analogy, and forecasting.Results: a critical assessment of anti-crisis measures by other scientists was given; the anti-sanctions plan of the Russian Federation for 2022–2024 was analyzed. As a result of the calculations, the approximate parameters of the budget system expenditures for the realization of the anti-sanctions policy were determined. Prospects, main measures and plans to bring priority sectors of the national economy out of the crisis were assessed. It was found that, despite the success of the antisanctions plan, many of the problems hindering the development of the Russian economy have not yet been solved. The main anti-sanction and sanction measures for the Russian economy development were proposed.Scientific novelty: measures to correct Russia’s anti-sanction and sanction economic policy were proposed: first, those referring to the area of transition to non-obvious, rational, defense-attack and protectionist sanctions economic policy of Russia; second, those for the transition to open, long-term, protectionist and preventive anti-sanction economic policy of the Russian Federation.Practical significance: the proposed measures will weaken the consequences of the sanctions war and lay the foundation for Russia’s economic development in the medium and long term. A systematic approach to the study of anti-sanction and sanction economic policy of Russia will allow other countries (China, first of all) to use the Russian experience of successful counteraction to the sanctions of the US and its allies.
Review of digital assets. Trends in the development of Digital Financial Assets in the Russian Federation and forecast
Authors: Stankevich V. S. , Vlasov A. V. 
Published: June 2024

Objective: to determine the current state of the digital financial assets market and the prospects for its development.Methods: the work uses comparative-logical methods, analysis, synthesis, comparative analysis in terms of comparing the theoretical aspects of the DFA market and the practical use of this technology; SWOT-analysis, the method of expert assessments.Results: in the era of digitalization of many economic processes, one of the key trends of financial markets is tokenization of assets. At the same time, there is a lack of a high-quality institutional system for managing digital financial assets. The authors identified the DFA market development trends, analyzed the market current state, researched the published scientific works and prepared a brief literature review, made a SWOT-analysis of the DFA market, and identified the advantages, potential and threats to this market development in Russia. The paper identifies trends in the DFA market development, taking into account the existing risks. This is relevant for investors when planning investments and selecting DFAs as an investment object, to diversify the investment portfolio.Scientific novelty: a narrative analysis of the digital financial assets market development was carried out. A comparative analysis of digital financial assets and traditional financial instruments was performed. The main regulatory solutions to the infrastructural problems were identified, that are necessary for the development of digital financial assets. The presented SWOT-analysis served as a basis for the formation of the author’s view DFA-technologies development in the country, which is relevant for researchers of regulatory aspects, system unification and harmonization of the regulatory framework and socio-economic relations.Practical significance: the study analyzed the volume of DFA issues and identified their most common types. DFA issuers, operators as organizers of DFA issues, and investors can use the study results to make decisions in activities using digital assets.
Corruption factor through the prism of social-demographic aspects: political and economic context
Authors: Ustinova K. A. , Gordiyevskaya A. N. 
Published: June 2024

Objective: to determine the impact of socio-demographic factors and characteristics of political and economic changes on corruption.Methods: the work uses the methods of comparative analysis, construction of conjugation tables, and the index method; the information base is the public opinion monitoring data in Vologda oblast, with 1,500 respondents filling in questionnaires at their place of residence. The sample is random and quota; representativeness is ensured by the proportions observed between the residents of settlements of different types, gender and age structure of the population; sampling error does not exceed 3 %.Results: manifestations of corruption have been the subject matter of scientific discourse for quite a long time, but the research approaches have been constantly expanding from the historical, legal, and economic points of view. The article considers corruption as a multidimensional phenomenon and analyzes it from the perspective of an integrative approach, which implies taking into account territorial aspects, socio-demographic factors, and the citizens’ perception of the political and economic situation in the country and in the region. The analysis of the assessment results of the public opinion about the corruption level in the region showed that the authorities and the health care system are the most susceptible to corruption. The assessment of the territorial prevalence of corruption showed that the corruption index values along the “center – periphery” line are higher in the regional center than in the districts. It was also revealed that differences in the socio-demographic characteristics insignificantly influence the perception of changes in the corruption level, unlike the perception of corruption depending on the economic and political situation in the region.Scientific novelty: Based on the analysis of the results of the corruption level monitoring in the region, it is shown that positive assessments of the political and economic situation are associated with an unchanged or decreased level of corruption perception. Hence, good and very good assessments of the economic situation were more often associated with a decrease in the corruption level last year.Practical significance: the identified links between corruption, socio-demographic, political and economic factors can serve as a basis for adjusting and improving anti-corruption policy at the regional and state level.
Impact of Income Inequality on Fear of Crime: A Comprehensive Meta-Analysis
Authors: Ranaweera N. 
Published: June 2024

Objective: to synthesize existing research to comprehensively understand the impact of income inequality on fear of crime, aiming at elucidating how economic disparities influence community security.Methods: qualitative methods, including comparative analysis and generalization, alongside the historical and genetic method, were employed. A systematic search was conducted across multiple databases such as PubMed, PsycINFO, Web of Science, Scopus, and Google Scholar to aggregate peer-reviewed empirical studies. A random-effects model was used for calculating overall effect sizes, with study heterogeneity and moderating factors such as geographic location and urban versus rural settings assessed.Results: a moderate positive relationship between income inequality and fear of crime was unveiled, particularly pronounced in urban areas, based on a wide array of empirical data. Moderate study heterogeneity indicates context-dependent variability. The synthesis of findings underscores the significant role of income inequality in exacerbating fear of crime, highlighting a complex interplay between economic disparities and perceived community security.Scientific novelty: this study represents the first attempt to bridge the gap between theoretical assumptions of social disorganization and inequality theories with empirical evidence on the impact of income inequality on fear of crime, providing a comprehensive overview and highlighting discrepancies, patterns, and the overall strength of this association.Practical significance: the findings offer crucial insights for policymakers and community leaders in developing targeted interventions to mitigate fear of crime, emphasizing the necessity for policies that address economic disparities to enhance societal well-being. Additionally, it recommends further longitudinal research to explore the causal relationships and mechanisms underlying the association between income inequality and fear of crime, enriching the concepts of institutional economics concerning the limits and possibilities of institutional transformations in enhancing community security.
Precise and adaptable knock-out generation in wheat thanks to a multi-stop cassette
Authors: Kadner Maxime , BENEDIT Stéphane , PAUL Wyatt , PICHON Jean-Philippe , TASSY Caroline , BARRET Pierre 
Published: June 2024

Abstract

The advent of clustered regularly interspaced short palindromic repeat (CRISPR) genome editing initiated an era of accelerated understanding of gene function. A key approach to achieve this goal is functional validation, notably by knock-out (KO) generation of candidate genes in a genetic background harboring the character of interest. CRISPR genome editing enables precise genetic targeting, but the generated mutations are random. In this study, we propose a simple and straightforward method for precise KO (PKO) generation, using CRISPR-Cas9 for precise targeting coupled with a 32bp multi-stop cassette. This cassette is harboring a STOP codon in every reading-frame, such as its insertion guarantees the presence of a stop codon at the position of insertion. The CRISPR-Cas9 system and multi-stop cassette was bombarded on wheat embryos using biolistic. From the 391 embryos bombarded, 177 events of insertion were detected. Sanger sequencing and Next Generation Sequencing (NGS) showed that, in the majority of events, the cassette was truncated prior to its insertion, on average by 5bp. By design, this means that in the majority of detected events a multi-stop sequence was successfully inserted at the targeted position. Only one perfect insertion event was observed and the number of cells reached by the cassette is low, which was expected from this design, indicating that improvements can be made to the method. Our findings showed that PKO is achievable in wheat calli, which opens the way to improvements on wheat, and future developments of optimized KO on regenerated wheat plants.
“From farm to garden” – Pesticides drift from farmlands to private gardens: a survey in Verona (Italy) in the years 2021-2022
Authors: Beghini Giovanni , Danieli Giacomo , Marcolungo Claudia , Caobelli Renzo , Biggeri Annibale 
Published: June 2024

Abstract

A study in Veneto, Northern Italy, revealed significant pesticide exposure in residential gardens near vineyards and agricultural zones, showing over 70% of sampled gardens each year had detectable pesticide levels, contrary to expectations. Despite safety measures and EU guidelines, findings suggest inadequate protection against pesticide drift, with notable detections of Folpet-phthalimide among others. The research, encompassing various agricultural settings in Verona province, involved a detailed cross-sectional survey over 2021 and 2022, assessing pesticide dispersion through leaf sampling. The study found that over 70% of the sampled gardens each year contained one or more pesticides where none should be present. The median number of pesticides detected was 2 in 2021 and 1 in 2022. No significant differences were observed in pesticide presence between the July 2021 and July 2022 samples, or across the different months in 2022. Folpet-phthalimide was the most detected pesticide. Additionally, a small percentage of samples near cultivated fields contained pesticides with established toxicity, violating regional regulations, while a significant portion within 30 meters contained pesticides with potential but unconfirmed toxicity. The study advocates for stricter enforcement of pesticide regulations, increased community engagement in monitoring, and alignment with broader European environmental strategies to ensure a balanced approach to agricultural productivity and public health.
Large Scale Multimodal Fashion Care Recognition
Authors: Su Mingyue , Wang Zhongfei 
Published: June 2024

Abstract

Smart Fashion is reshaping people's lives, and affects people's choices and outfits. Existing computer-vision-enabled fashion technology has covered many aspects, such as fashion detection, fashion recognition, fashion segmentation, virtual fitting, fashion recommendation and fashion compatibility, etc. However, there is a gap in the direction of intelligent care. The care process is closely related to the lifetime of clothing, and also plays a very important role in the health and well-being of humans. The care label inside the clothing indicates the recommended care operation, which usually contains multiple care symbols and multilingual textual descriptions. Repeated washing can lead to fading and deformation of labels. Care label recognition is a challenging task in the wild scene. In this paper, we propose a strong multi-modal multi-task baseline (abbreviated as MMFC), which combines image features and text features into a united framework. The Modality Mutual Transformation Module (MMTM) is employed to enhance the feature fusion. We refine the alignment of different modality features utilizing the methodology of contrastive learning and feature mapping. The lack of care label datasets has limited the development of intelligent care. Therefore, we introduce a new high-quality large-scale dataset called FashionCare, which has 30,477 images, a total of 157,907 fashion care symbols, six major categories, 66 subcategories and textual description. To our knowledge, this is the first large-scale dataset of care label. Extensive experiments on FashionCare show the effectiveness of MMFC. In order to demonstrate the few-shot recognition performance of MMFC, we build a sub-dataset called FashionCare-LT by constructing the tail subcategories. Both quantitative and qualitative results show that MMFC possesses exceptional few-shot recognition capabilities. We believe that FashionCare can also be further explored to benefit more fashion related tasks, such as the care analysis of different materials and fashion types. We also hope that FashionCare can serve as a new benchmark for large-scale fine-grained multimodal learning, and contribute to the development of multimodal recognition, understanding and analysis.
Environmental and socio-economic impacts of the changes in distribution areas of Pinus pinea L. (stone pine) due to climate change in Türkiye
Authors: Karayol Merve , Akyol Ayhan 
Published: June 2024

Abstract

In this study, present and future distributions of stone pine due to climate changes were modeled with MaxEnt. CNRM ESM2-1 climate model and bioclimatic variables obtained from the WorldClim database were used as climate models. As climate scenarios, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 climate change scenarios and 2041–2060 and 2081–2100 periods were used. Pearson Correlation analysis was performed to prevent high correlation in bioclimatic variables and the multicollinearity problem was eliminated by reducing 19 bioclimatic variables to 9 variables. The contribution of bioclimatic variables to the model was determined by the Jackknife test. To determine the spatial and locational differences between the present and future potential distributions estimated for the species, an analysis of change was conducted. According to the findings of the study, our model has a very high predictive power and the Jackknife test results, the bioclimatic variables BIO19, BIO6, and BIO4 contribute the most to the model. Our prediction model predicts that the distribution area of stone pine will decrease, shifting northward and towards higher altitudes. We believe that this will lead to increased risk of forest fires, loss of ecosystem services, and reduced income from stone pine. For these reasons, benefit from stone pine need to take into account the effects of climate change in their land use planning and give importance to climate change adaptation efforts. These maps, created with current and future predictions of potential habitat distribution, can be use in afforestation, ecological restoration, rural development, conservation, and all kinds of land use studies.
Abundance of Microplastics in Mangrove Sediments on Pari Island, Jakarta Bay, Indonesia
Authors: Nugraheni Intan Kusumastuti , Zamani Neviaty Putri , Cordova Muhammad Reza 
Published: June 2024

Abstract

Mangroves can become traps for plastic waste, so plastic waste has a long residence time and then fragments into microplastics and settles in mangrove sediments. The health level of mangroves will impact other ecosystems, such as seagrass and coral reefs. This research aims to identify microplastics in the mangrove sediments of Pari Island, Jakarta Bay, based on their shape, colour, size and chemical composition, and compare the microplastics distribution at different sampling times. The samples obtained were mangrove sediments from Pari Island, Jakarta Bay, in September 2021, representing the transition season, and January 2022, representing the western season. The stages of this research include measuring mangrove cover and health levels, microplastic extraction and microplastic identification. Microplastic extraction was done by adding ZnCl2, followed by 30% H2O2 and FeSO4 7H2O. Quality control was performed to minimize contamination in the field and laboratory. Visual identification using a microscope produces microplastics with dominant forms, namely fragments and fibres, with the dominant colours being black, red, transparent and blue and the size being dominated by the <200 μm size group. Ethylene propylene, Polyvinyl chloride (PVC), Polyurethane, and Polyethylene are the four most abundant polymers in this study. The Kruskall-Wallis U test with a result of 0.4386 (> 0.05) shows that the abundance of microplastics in the west and transition seasons is insignificant. Spearman correlation test results show p-value = 0.6036 (<95%) and rho = 0.2182179; microplastic abundance has a significant relationship with the Mangrove Health Index (MHI).
Hematopoietic Stem Cell Transplantation in Children with Mucopolysaccharidosis IVA: Single Center Experience
Authors: Yalcin Koray , Uygun Vedat , Hismi Burcu Ozturk , Celen Suna , Öztürkmen Seda , Zhumatayev Suleimen , Daloglu Hayriye , Karasu Gulsun , Yesilipek Akif 
Published: June 2024

Abstract

Mucopolysaccharidosis IVA (MPS IVA; Morquio syndrome) is a lysosomal storage disorder and features systemic skeletal dysplasia that is caused by defective Nacetylgalactosamine-6-sulfate sulfatase (GALNS). Although there are convincing data for hematopoietic stem cell transplantation (HSCT) in certain types of MPS, the studies are limited for MPS IVA and more data is still pending to show the efficacy/safety of HSCT. This study included 3 girls and 7 boys with MPS IVA who underwent allogeneic HSCT between February 12, 2021, and March 10, 2023. Enzyme levels, height growth, the most involved organs (ear, eye, and heart), and the activities of daily living (ADL) scoring system were monitored to assess the benefit of HSCT. In a median follow-up of 20 months (9–34 months), there is no severe transplant-related adverse event was observed. In all cases, normal enzyme levels were reached after HSCT. During the short follow-up period, our cases showed an increase in stature and improvement in daily activity functions. Here we present the data of our HSCT experience in MPS IVA with promising results regarding both safety and efficacy. We need more data and long-term follow-up to comment properly on the benefits of HSCT in MPS IVA.
Intervention for School Anxiety and Absenteeism (ISAAC): Mixed-method feasibility study of a coach-assisted, parent-focused online program
Authors: McDonald Brontë , Tunks Alice , Michelson Daniel , Lester Kathryn J. 
Published: June 2024

Abstract

The aftermath of the Covid-19 pandemic has seen an increase in persistent school absenteeism and Emotionally-Based School Avoidance (EBSA). However, suitable evidence-based psychological interventions are often unavailable. We aimed to assess the feasibility, acceptability and potential impacts of a new parent-focused online program, Intervention for School Anxiety and Absenteeism (ISAAC), which has been co-designed with parents and practitioners. This exploratory mixed-method study recruited participants from three schools in southern England, enrolling N = 9 parents for whom an index child, aged 5–11 years, was experiencing signs of EBSA. The intervention consisted of three web-based psychoeducational modules respectively addressing parental stress, accommodating behaviors, and communication with school staff. Module completion was assisted by weekly calls with a non-specialist “coach.” Feasibility was measured using indicators of retention, module participation, overall program completion and coaching fidelity. Acceptability was assessed using semi-structured interviews, module ratings and written qualitative feedback. We also collected parent-reported measures of children’s school avoidance, absences, anxiety, parental stress, accommodating behaviors, and quality of parent-school communication. Overall, the intervention was feasible to deliver to parents with six (67%) participants completing the full intervention. Participants found the intervention acceptable across thematic domains of affective attitude, burden, coherence, self-efficacy and perceived effectiveness. Participants particularly appreciated the coach’s support. Outcomes were small to moderate with the largest effects observed on school avoidance (d = 0.51) and family accommodations (d = 0.53). In conclusion, ISAAC shows early promise with the potential to deliver scalable online support for families affected by emerging EBSA. Future research should move toward establishing effectiveness in a randomized controlled trial.
In silico analysis and validation the cancer- associated fibroblasts related gene CAMK4 promotes bladder cancer progression
Authors: Su Xiaokang , Guo Yi , Li Youkong 
Published: June 2024

Abstract

Background:Cancer-associated fibroblasts (CAFs) are crucial in the regulation of cancer cell biological properties through complex and dynamic communication networks. However, the mechanism of action of CAFs in bladder cancer (BCa) remains elusive.
Results:This study integrated transcriptome data from multiple datasets and constructed an ensemble of genes associated with CAFs through a series of algorithms. It further categorized BCa into two molecular subtypes, distinguished by their immune cell infiltration and immune-related characteristics. CAMK4 was subsequently selected for further validation, and it was found that CAMK4 promoted the tumor-promoting ability of BCa specifically in terms of proliferative, migratory, and invasive capacities and also facilitated the development of epithelial-mesenchymal transition (EMT).
Conclusions: To sum up, our signature and its derived subtype facilitates a more accurate identification of potential candidates for immunotherapy among BCa patients. In addition, CAMK4 may be a promising target for BCa therapy.