bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations of different genotypes with the meat productivity of sheep
Authors: Ozdemirov A. A. , Khozhokov A. A. , Akaeva R. A. , Alieva E. M. , Alieva P. O. , Guseynova Z. M. , Daveteeva M. A. 
Published: October 2024

Identification of the potential to increasthe agricultural production of farm animals has become possible through the use of genomic selection methods. It is advisable to improve breeding and pedigree qualities of local breeds, since these have the best adaptability to the features of the natural and geographical conditions in a given area. He controlled slaughter of animals with different genotypes allowed us to determine their meat qualities, such as biological value, slaughter yield and slaughter weight. The ratio of slaughter weight and pre‐slaughter weight gives the slaughter yield in percent.PCR (polyamino acid chain reaction) using specific synthesised sets of oligonucleotides in the genotyping of experimental sheep populations was carried out in order to study the allelic variants of the CAST and GH genes.When studying the indices characterising body weight in sheep which have different genotypes, significant increases in the indices could be observed before the periods of driving to summer pastures (17.2 kg) and during lambing (25.8 kg). The lowest indices were noted during driving both from winter pastures to summer pastures and from summer pastures to winter pastures (30.5 kg).In the period before driving, the live weight index was higher in the CASTMM genotype by 5.8 %; upon arrival in the mountains the difference was 6.1 %; during lambing — 4.7 %; before leaving for winter pastures — 8.4 % and upon arrival at winter pastures — 9.5 %.
Index of development of transport infrastructure as a factor of sustainable development of the coastal zone of the Sea of Azov, Russia
Authors: Arkhipova O. E. , Patrakeeva O. Yu. 
Published: October 2024

As a zone of interaction between land and sea, coastal zones are becoming a strategic area for achieving a sustainable expansion of economic space. The object of study is the coastal zone of the Sea of Azov (Rostov Region and Krasnodar Territory). The subject of the study is an assessment of the dynamics of transport infrastructure development index as a factor in the sustainable development of the coastal zone of the Sea of Azov.Methodological approaches to assessing the sustainable development of the territory were based on a methodology based on methods of system analysis, mathematical modeling, and GIS technologies. An indicator has been formulated that considers the area of the territory, the population, the length of public roads of local importance, the shipment of goods of local production, the work and services performed on their own, in order to measure the ‘economic’ load on the transport infrastructure.The analysis of the state of the transport infrastructure of the regions of the coastal zone for the period from 2015 to 2021 was carried out. Based on an analysis of the transport infrastructure index, it was concluded that the attraction of municipalities to the Rostov agglomeration, together with the strengthening of social, trade and infrastructure contacts with megacities will lead to a further increase in the anthropogenic load on the territory. The areas studied of the Krasnodar Territory belong to the Northern Economic Zone – a territory with a diversified economy, characterised by cross‐border links with neighboring regions.Highways are the most important link in the transport and logistics system. The level of development and the technical condition of the road network have a significant and diverse impact on the economic and social development of both the state as a whole and it individual regions.
Potential and investment attractiveness of improved forestry projects under increasing climatic challenges
Authors: Morkovina S. S. , Sheshnitzan S. S. , Ivanova A. V. , Yakovenko N. V. , Pryadilina N. K. 
Published: October 2024

The aim is to justify the potential and provide an assessment of the effectiveness of investing in forest climate projects for improved forestry.A systematic approach was used for a comprehensive, structured and dynamic study of the potential of project activities (forest‐climatic projects) to improve forest productivity. The investment efficiency of forest‐climatic projects on improved forestry is determined taking into account the life cycle of project solutions. To conduct an express assessment of investment attractiveness of forest‐climatic projects, the coefficient characterizing the efficiency of investment for the produce of carbon units was used.It has been revealed that the regions of the Northwestern, Ural and Siberian Federal Districts have the greatest potential of areas of plots (over 2 million ha) for the realization of forest‐climatic projects on improved forestry. It has been shown that for the implementation of forest‐climatic projects on improved forestry in the conditions of the Central forest‐steppe per 1 ha investments of up to 100 thousand rubles are required. For climatic projects on improved forestry, the minimum investment per unit area will be from 97–111 thousand rubles per 1 ha, taking into account the life cycle of the project.The actual practice‐oriented task in the field of forestry has been solved. It consisted in substantiating the investment attractiveness of natural solutions aimed at increasing the carbon depositing functions of forest ecosystems. Calculated potential of areas for the implementation of forest‐climatic projects on improved forestry is an important tool for territorial planning and ensuring sustainable development of regional systems.
Public non‐financial reporting: Reflection of environmental aspects of development and activities of economic entities
Authors: Gadzhiev N. G. , Lazareva N. V. , Konovalenko S. A. , Trofimov M. N. , Yusufov N. A. 
Published: October 2024

The article considers economically significant information reflected in public non‐financial reporting, enabling reflection on the environmental aspects of an organization's development. The analysis aims to articulate problems in the disclosure economically significant information in public non‐financial reporting due to a significant difference between national and international requirements in terms of the environmental aspects of development.In the process of conducting this study, a monograph (descriptive) research method, a system analysis method and a comparative analysis method were used.The results of the study confirmed the need to improve environmental reporting as part of the development of the concept of non‐public financial reporting, while authors emphasising the need to develop the composition and content of environmental reporting, taking into account the integration of financial and non‐financial reporting. The application of the approaches outlined in the article allowed the generation of more transparent information for all interested users regarding the environmental activities of companies and will bring national and international standards closer to application.The environmental reporting of companies and its components are proposed as part of the development of the concept of public non‐ financial reporting.
Composition of biopesticides for crop protection – current state and prospects (review)
Authors: Homyak A. I. , Asaturova A. M. 
Published: October 2024

Aim. To summarise and analyse available information on research into biopesticide compositions aimed at enhancing their effectiveness and to assess prospects for the development of this field so as to determine the influence of components on the effectiveness of biopesticides for agricultural crop protection.This review article presents the results of studies of components included in the compositions of microorganism‐based biopesticides based on a system analysis. It is noted that the selection of biopesticide components must be carried out in accordance with the requirements for products recommended for use in ecological and organic farming systems. It is indicated that the choice of optimal formulation is associated with the characteristics of the producer strains, their trophic needs and resistance to biotic and abiotic factors and with the characteristics of the biopesticide application technology (seed treatment, application to the soil or treatment of plants during vegetation), as well as the type of equipment used.Knowledge of the basic requirements for biopesticide formulations will help maintain the viability and biological activity of microbial agents during storage of biopesticides, taking into account the sensitivity of producer strains to environmental conditions. Selection of optimal carriers, adhesives, stabilisers, thickeners and synergists, taking into account the technology of application of the biopesticide and the target pathogen, will facilitate the development and appearance on the market of new biopesticides for protecting agricultural crops from diseases.
Sociodemographic and Mental Health Factors Associated with Obesity in Resettled Refugees in Syracuse, New York
Authors: Mutambudzi Miriam , Sharma Akritee , Sous Waseem , Shaw Andrea V. , Heffernan Kevin S. 
Published: October 2024

Introduction
Resettled refugees have been exposed to stressful and life-threatening events preresettlement and are among the most marginalized and vulnerable groups in society. Postresettlement, they face challenges when assimilating to an unfamiliar host country, which renders them vulnerable to adverse health outcomes including obesity, a major public health burden. This study was conducted to examine the association of mental health and sociodemographic factors, including language proficiency and educational attainment, with obesity in first-generation resettled refugees.

Methods
We used data from electronic health records from the Adult Ambulatory Medicine Clinic of the State University of New York Upstate, Syracuse, NY. The probability of being overweight and obese (class I and class II) relative to normal weight was estimated using fully adjusted multinomial logistic regression models with relative risk ratios (RRRs).

Findings
Relative to male refugees, female refugees were more likely to have class I obesity (RRR=1.83; 95% confidence interval [CI]=1.19, 2.80) and class II obesity (RRR=4.07; 95% CI=2.41, 6.87). Limited English proficiency increased the risk of being overweight (RRR=2.02; 95% CI=1.29, 3.17) and having class II obesity (RRR=2.14, 95% CI=1.20, 3.81). A clinical mental health diagnosis increased the risk of class I (RRR=2.00; 95% CI=1.35, 2.96) and class II (RRR=1.76; 95% CI=1.15, 2.71) obesity. Having no formal education was associated with decreased risk of class II obesity (RRR=0.42; 95% CI=0.19, 0.90).

Discussion
Obesity prevalence and subsequent related morbidity continue to be major public health burdens in vulnerable, often underserved populations in the United States. Further investigation into social determinants of obesity in refugees in a community setting that captures the unique experiences of heterogenous refugee groups outside the clinical setting is warranted.
Design and evaluation of an active vineyard heating system to simulate temperature increase in the context of climate change
Authors: Cirrincione Miguel Ángel , Arancibia Celeste , Dominguez Deolindo L. E. , Malovini Emiliano Jesús , Martínez Liliana Estela 
Published: October 2024

The current study introduces an innovative direct and active heating system designed for precise temperature control in vineyards. This system serves as a valuable tool for investigating the influence of climate change on grapevine physiology and, consequently, the characteristics of the resulting wine. The research took place in an experimental vineyard located in Mendoza, Argentina, with V. vinifera cvs. trained to a vertical shoot positioning trellis system over two consecutive growing seasons. The system design utilized electric hot water tanks and polypropylene pipes attached to the foliage catch wires. Over two growing seasons, the system consistently elevated the ambient air temperatures within the canopy by 2.5 ± 0.12 °C compared to the control group. This temperature increase emulated the temperature projections for Mendoza as forecasted by the IPCC by the end of this century. The system displayed heating uniformity, as evidenced by the absence of both vertical and horizontal temperature gradients. Additionally, the significant variation in mean daytime and night-time temperatures between the control and heated treatments highlighted the effectiveness of the system in modifying temperature conditions on a diurnal basis. The heated treatment applied with this system proved to have an effective biological impact on the physiology of grapevines. In both seasons, plants under the heated treatment advanced their bud break and harvest dates. The study showed a significant growth enhancement in the heated treatment, with apical shoots extending significantly longer than those in the control treatment. Additionally, the total soluble solids content increased in the heating treatment, while yield decreased, for both experimental seasons. These results illustrate the robust performance of the system throughout the entire growth period, regardless of fluctuations in atmospheric conditions. This study establishes a new foundation for future research on grapevine responses to climate change. It also opens the door to the implementation of effective adaptation strategies in vineyards, promising a more resilient and adaptable future for grape cultivation.
Price, Quality, and Promotion Synergize to Boost E-commerce Purchases in Indonesia
Authors: Maulana Mohamad Danang , Hariasih Misti 
Published: October 2024

This study investigates the impact of price, product quality, and promotion on consumer purchasing decisions on Shopee, focusing on students from Muhammadiyah University Sidoarjo. Using a quantitative approach and data collected through questionnaires, the research employs multiple linear regression analysis via SPSS. Results indicate that price, product quality, and promotion each have a significant positive effect on purchasing decisions. Collectively, these variables also influence consumer behavior on Shopee. The findings suggest that competitive pricing, high product quality, and effective promotions are crucial for enhancing consumer purchasing decisions on e-commerce platforms.
Highlight:

Competitive pricing and high product quality positively affect consumer decisions on Shopee.
Effective promotions significantly influence purchasing behavior among university students.
Combined impact of price, quality, and promotions enhances consumer engagement on e-commerce platforms.

Keywoard: Price, Product Quality, Promotion, Purchasing Decisions, E-commerce
Construction of An Enterprise-Level Global Supply Chain Database
Authors: Katafuchi Yuya , Li Xinmeng , Moran Daniel , Yamada Taiki , Fujii Hidemichi , Kanemoto Keiichiro 
Published: October 2024

Abstract

Global supply chain data captured in input-output models represents a foundational resource in economic, regulatory, investment, defense, and environmental applications. Work based on input-output tables has yielded valuable insights on interdependency and supported new types of policy based on “Scope 3” supply chain exposure. However current models suffer from coarse sector resolution which hampers their real-world utility beyond scholarship. To address this we elaborate the construction of an enterprise-level multi-regional input-output (EMRIO) table. This balanced global input-output table, built by combining official national input-output tables with publicly available firm-level production and transaction data, details flows among the business units at 9,466 companies operating across 86,305 subsegments in 121 countries. The dramatically higher resolution of this resource can improve the accuracy and tractability of all analyses reliant on supply chain information.
Systematic Underreporting in Corporate Scope 3 Disclosure
Authors: Li Xinmeng , Katafuchi Yuya , Moran Daniel , Yamada Taiki , Fujii Hidemichi , Kanemoto Keiichiro 
Published: October 2024

Abstract

Scope 3 emissions, which encompass both direct emissions and induced emissions along upstream supply chains, have emerged as an important metric for evaluating corporate responsibility toward climate change. Scope 3 targets are being evaluated as a core element of decarbonization plans in many economically important jurisdictions. Yet robust Scope 3 reporting has been challenging due to varying system boundaries, diverging emission factors used for estimation, and the general absence of compliance audits. To overcome these limitations, and understand the efficacy of voluntary reporting, here we establish a consistent, independent estimate of Scope 3 emissions at the firm level using a new enterprise-level global supply chain database. We find that, collectively, company self-reported Scope 3 emissions may be underestimated by nearly 50%, or 0.75 Gt C, compared to our estimate using a harmonized approach.
Postoperative pain and quality of life assessment after endodontic preparation with rotary and reciprocating endodontic instruments: randomized clinical trial
Authors: Mendes Wallace Vieira , Lima Suellen Nogueira Linares , Azevedo Jacqueline Vitória do Nascimento , Leite Hadda Lyzandra Austríaco , Oliveira Patrícia Santos , Ferreira Meire Coelho , Carvalho Ceci Nunes 
Published: October 2024

Abstract

Background: Post-operative pain is a common complication following endodontic treatment, often caused by acute inflammatory responses in periapical tissues. Several factors contribute to this, including inadequate instrumentation, apical extrusion of debris during canal preparation, and other aspects of the procedure. Advances in technology have led to the development of nickel-titanium (NiTi) instruments, which have shown potential to reduce post-operative discomfort. This study aims to evaluate post-operative pain in patients undergoing endodontic treatment with different NiTi systems.
Method: This randomized clinical trial will include 128 patients aged between 18 and 50 years with a diagnosis of pulp alterations in molars without pain or radiographic lesions requiring endodontic treatment. Patients will be randomly allocated to receive root canal preparation with the rotary ProTaper Ultimate system or the reciprocating single-file Reciproc Blue system. The primary outcome will be the intensity of post-operative pain measured using a numerical rating scale (NRS-10 cm) and a visual analog scale (VAS-0-10 cm) at 6, 12, and 24 hours post-operatively. Secondary outcomes will include spontaneous pain, occlusion sensitivity, and quality of life, assessed through the OHIP-14 questionnaire.
Discussion: Our hypothesis is that there will be no differences in pain performance between the different systems, but there will be improvements in quality of life. The results of this study will provide information on the incidence and intensity of post-operative pain after instrumentation of root canals with different NiTi systems and may help improve outcomes and quality of life for patients.
Trial registration: Brazilian Clinical Trials Registry (REBEC): RBR-10kbw6nx. Registered on April 6, 2024.
Insights into suggested Responsible AI (RAI) practices in real-world settings: A systematic literature review
Authors: Bach Tita Alissa , Kaarstad Magnhild , Solberg Elizabeth , Babic Aleksandar 
Published: October 2024

Abstract

AI-enabled systems have significant societal benefits, but only if they are developed, deployed, and used responsibly. We systematically review 45 empirical studies in real-world settings to identify suggested Responsible AI (RAI)practices to ensure that AI-enabled systems uphold stakeholders' legitimate interests and fundamental rights.
Our findings highlight eleven areas of suggested RAI practices: harm prevention, accountability, fairness and equity, explainability, AI literacy, privacy and security, human-AI calibration, interdisciplinary stakeholder involvement, value creation, RAI governance, and AI deployment effects. Our findings also show that there are more discussions about how RAI is supposed to be practiced than existing RAI practices. Ad hoc implementation of RAI practices in real-world settings is concerning because almost 80% of the AI-enabled systems reported in the 45 included articles are applied in use cases that can be categorised as high-risk settings, and over half are reported in the deployment phase. Our findings also highlight the crucial role of stakeholders in ensuring RAI. Identifying stakeholders into user, non-user, and primary stakeholders can thus help understand the dynamics of the settings where AI-enabled systems are (to be) deployed and guide the implementation of RAI practices.
In conclusion, although there is a consensus that RAI practices are a necessity, their implementation in real-world is still in its early day. The involvement of all relevant stakeholders is irreplaceable in driving and shaping RAI practices. There is a need for more comprehensive and inclusive RAI research to advance RAI practices in real-world settings.
Improvement of YOLOv8 algorithm through integration of Pyramid Vision Transformer architecture
Authors: Dong Zhiqiang , Yang Shu , Xiao Yang 
Published: October 2024

Abstract

Addressing the issue of poor target detection accuracy in complex backgrounds with the YOLOv8s model, this chapter proposes an improved YOLOv8s model that incorporates the Pyramid Vision Transformer (PVT). Specifically, to enhance the feature extraction capabilities of the base module, this paper proposes using PVT in the Backbone stage of YOLOv8s to replace the previous basic convolutional feature extraction blocks. This structure allows the model to process images at different resolution levels, thereby more effectively capturing details and contextual information.
Predictive Modeling of Brain Metastasis in Advanced Lung Adenocarcinoma: A Hybrid Approach Combining Traditional Radiomics and Deep Learning from Thoracic CT Images
Authors: Qie Shuai , Kun Liusu , Shi Hongyun , Liu Ming 
Published: October 2024

Abstract

Purpose: Create a deep learning-based radiomics framework to anticipate prediction models for advanced lung adenocarcinoma with brain metastases. This aims to inform individualized treatment and prognosis, enhancing clinical decisions and patient outcomes.
Methods: Analyzed 404 patients' CT scans from two hospitals. Extracted handcrafted and deep learning features. Developed three models (Rad, DTL, Combined) to predict brain metastasis risk. The Combined model with clinical features formed the DLRN model. Evaluated using DCA and Calibration Curve.
Results: The Combined model outperformed others, with AUCs of 0.978 (training) and 0.833 (validation). When combined with clinical data, DLRN achieved AUCs of 0.979 (training) and 0.837 (validation), with high accuracy, sensitivity, and specificity. DCA showed DLRN's clinical benefit.
Conclusions: Developed and validated DLRN model for precise prediction of brain metastases.