bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coastal Physical Vulnerability to Sea Level Rise in the active Ecuadorian margin for Integrated Coastal Zone Management, case study: Santa Elena Bay
Authors: Villacís Elvis Espinoza , Rivas-Oviedo Jacqueline , Martillo-Bustamante Carlos , Muthre M. , Saltos-Andrade Iván , Andrade-García Gina , Cedeño-Oviedo Jonathan , Cervantes-Bernabé Eduardo , Chunga-Morán Kervin 
Published: January 2025

Abstract

Coastal areas face increasing threats from extreme weather and rising sea levels, exposing both human populations and delicate ecosystems. This study evaluates the physical vulnerability in the Santa Elena Bay (SEB) coastline, which is setting in the active margin of Ecuador, which is highly influenced by geological vertical movements. The results of this study permit us to give some recommendations to coastal management. Employing the Coastal Vulnerability Index (CVI), we analyze variables such as lithology, geomorphology, beach slope, coastal indentation, shoreline displacement, and wave height. The CVI categorized the coast into four vulnerability ranks: Low, Moderate, High, and Very High. Results indicate that low-lying beaches, especially in the Northern zone, where there are higher waves, are the most vulnerable. The Northern zone of SEB exhibits substantially higher vulnerability, with 15.80% of the coast classified as High and 41.76% as Very High. Key factors contributing to Very High vulnerability include low indentation (63.96%), high wave heights (58.69%), and quaternary sediments (57.41%). Conversely, the Southern zone primarily demonstrates High and Low vulnerability, however critical areas can be found which have some important infrastructure to tourism, i.e. Monteverde, San Pablo, Punta Barandúa, Ballenita, and Salinas. The findings highlight the urgency of implementing mitigation measures and integrating adaptive management strategies into urban development policies to reduce the vulnerability of coastal communities and protect local ecosystems.
The influence of reduced amino acid alphabets on prediction orthologous protein thermostability
Authors: Jiang Yuxin , Yuan Xiaoyu , Zheng Shizhe , Luo Silin , Chen Haidong , Ding Yanrui 
Published: January 2025

Abstract

Sequence feature plays a vital role in determining protein thermostability. Considering the advantages of reduced amino acid alphabets (RAAs) in reducing data complexity and retaining key sequence information, we evaluate the performance of 672 RAAs on prediction orthologous protein thermostability. By calculating the Amino Acid Composition, Dipeptide Composition, Tripeptide Composition of reduced sequence features and building random forest regression models, we find that 10 RAAs based on the fuzzy clustering algorithm are suitable to predict the thermostability difference of orthologous protein pairs and significantly improve the prediction efficiency. Further, the melting temperature difference ΔTm caused by point mutation is predicted, and it is found that the RAA of EQ-H-K-DN-IL-P-T-FY-M-R-S-W-A-C-G-V could fit the tiny thermostability change caused by point mutation. Our work showcases that the reduction methods based on fuzzy clustering can effectively retain the key sequence features that affect protein thermostability, resulting in reducing the computational complexity and increasing the prediction accuracy.
Assessing Oral Health Challenges and Solutions in Mogadishu, Somalia: A Public Health Perspective
Authors: Hassan Md Sakib 
Published: January 2025

Abstract

Oral health is crucial to overall well-being, yet it is often overlooked in low-income regions like Mogadishu, Somalia. This study assesses the oral health of Mogadishu residents, focusing on the prevalence of oral diseases, hygiene practices, barriers to care, and socio-cultural factors influencing oral health behaviors. Data were collected from 1,505 participants using structured questionnaires at the SWED University Dental Clinic. Findings reveal a high prevalence of oral diseases: 60% of children had dental caries, 70% of participants showed signs of periodontal disease, and 40% of children suffered from fluorosis due to high fluoride levels in local water. Cultural practices such as using Muswaki (chewing sticks) and harmful habits like khat chewing and tobacco use were significant contributors to poor oral health. Economic barriers and limited access to professional dental care forced many to rely on traditional remedies. Preventive care was nearly absent, with most individuals seeking dental treatment only when symptoms became severe. The study also highlighted the shortage of dental professionals in Mogadishu. Recommendations include improving dental care infrastructure, subsidizing dental products, promoting public health education, and addressing issues like high fluoride levels in water to reduce oral health disparities and enhance well-being.
A Deep Learning-Based Model for Financial Crisis Prediction
Authors: Elnaggar Hoda A. , Elsherif Marwa , Marie Mohamed 
Published: January 2025

Abstract

Deep learning (DL) is becoming more widespread in the banking and finance industries. There is currently no thorough analysis of deep learning's uses in banking and finance in the corpus of extant literature. This study examines the literature on the application of model evaluation, input data evaluation, and model preprocessing evaluation. This study gives scholars and practitioner’s guidance and insight into the current status of deep learning model application in the banking and finance industries. Two recurrent neural network architectures are compared in this study: the recurrent neural network (RNN) and the short-term memory (LSTM), the results show that deep learning is superior for financial crisis prediction. RNN has a 99.2% precision rate.
Exploring the Trade-Off Between Environmental Quality and Economic Welfare: Analyzing the EPC and EKC Hypotheses in the UK with a Focus on Democratization and Fossil Fuel Use
Authors: Güler İlkay , Naimoğlu Mustafa , Şimşek Orhan , Adalı Zafer , Özbek Sefa 
Published: January 2025

Abstract

Carbon neutrality achievement, mitigating and reverting environmental degradations, and increasing renewable energy projections have been among the most mentioned and received the attention of the government's agendas. Nearly all documents and policy actions have been designed and highlighted under environmental-related issues. However, the considered policy actions have been considered tough decisions involving a trade-off between environmental quality and economic welfare. The Environmental Phillips Curve has been recently introduced under the insight into the trade-off, and the EPC implies that environmental degradations can be blessed at the cost of high unemployment. The study strives to scrutinize the EPC and EKC hypotheses by considering the effect of Democratization, quality of government, and fossil use on CO2 emissions in the UK. Within this context, the ARDL approach, the FMOLS, and DOLS estimators are performed on data covering the period between 1990 and 2021. The result of the study discloses that the EPC hypothesis is not verified, whereas the EKC hypothesis holds for the UK. Besides, quality of government and Democratization play a pivotal role in mitigating CO2 emissions, while fossil fuels impair the air quality of the UK. The evidence is that policymakers in improved democratic institutions can implement a better performance of providing policy directions for mitigating environmental degradation, and the country with achieved compositions and techniques effects can implement pro-environmental policies without the cost of economic welfare.
Association of IGF1R Polymorphisms with Idiopathic Short Stature in Children: A Meta-Analysis
Authors: Hemmatyar Ahmad , Vafapour Maryam , Talebi Hanieh , Dastgheib Seyed Alireza , Bahrami Reza , Pourkazemi Melina , Rashnavadi Heewa , Shahbazi Amirhossein , Rahmani Amirhossein , Aghili Kazem , Neamatzadeh Hossein 
Published: January 2025

Abstract

Background
Idiopathic short stature (ISS) poses substantial challenges in pediatric growth assessment due to its multifactorial origins. This meta-analysis explores the relationship between IGF1R polymorphisms and the risk of ISS in children.
Methods
A comprehensive literature review was performed utilizing PubMed, Web of Knowledge, and CNKI, culminating on January 1, 2025, focusing on studies published before this date. The search employed relevant keywords and MeSH terms related to ISS and genetics factors. The inclusion criteria focused on original case-control, longitudinal, or cohort studies, with no restrictions on language or publication year. Correlations were quantified as odds ratios (ORs) with 95% confidence intervals (CIs) using Comprehensive Meta-Analysis software.
Results
Eight case-control studies comprising 3,794 children with ISS and 3,018 controls were included. Four studies examined the variant rs1976667 (2,255 cases and 1,642 controls), while the other four focused on rs2684788 (1,539 cases and 1,376 controls). All studies, conducted in China from 2011 to 2018, found no significant associations between IGF1R polymorphisms rs1976667 and rs2684788 and ISS across all five genetic models.
Conclusions
This meta-analysis reveals no significant association between IGF1R rs1976667 and rs2684788 polymorphisms with ISS. However, the predominance of studies conducted in Asian populations, particularly China, may limit the generalizability of the findings to other ethnic groups.
Thrombotic Thrombocytopenic Purpura: Lessons from Clinical Cases, A case series
Authors: Elkourashy Sarah A. , Mashhadi Tamader , Al-Kuwari Amna , Al-Abdulla Sara , Sayed Gamal 
Published: January 2025

Abstract

Thrombotic Thrombocytopenic Purpura (TTP) is a rare yet life-threatening complication during pregnancy, with maternal mortality rates historically exceeding 90% before the advent of therapeutic plasma exchange (TPE), which has been the cornerstone of treatment for several decades. Rituximab has become increasingly important for managing refractory or relapsing TTP, particularly during pregnancy, due to its effectiveness in reducing relapses. In severe or recurrent cases, caplacizumab has emerged as a valuable agent, rapidly controlling acute episodes by preventing platelet aggregation and reducing microvascular thrombosis, which is critical in reducing organ damage and improving survival. Monitoring ADAMTS13 activity has become crucial in distinguishing between congenital and acquired TTP, guiding treatment decisions, and preventing relapses. This case series includes both acquired and congenital TTP cases, and in one severe case with multiple relapses, we used caplacizumab to stabilize the patient's condition. The findings underscore the importance of early diagnosis, individualized treatment, and proactive management in improving maternal and neonatal outcomes.
Development and characterization of new muscle line from Lates cacarifer (Bloch, 1790) towards cultivated seafood research
Authors: D.K. Pawaskar , Pinto Nevil , Iqbal Gowhar , Sonwane Arvind , Rasal Kiran , Goswami Mukunda 
Published: January 2025

Abstract

Lates calcarifer (Asian Seabass) is one of the important aquaculture species, widely cultured in the Indo-Pacific region. It is a euryhaline and catadromous fish found in near estuaries. A cell line was developed from muscle tissue of Asian Seabass designated as SBM and was conditioned to grow in reduced serum concentration. These cells were subcultured upto 30 passages. SBM cells were conditioned to grow in Leibovitz’s-15 (L-15) supplemented with 5% FBS (Fetal Bovine Serum). The SBM cells had a doubling time of 26 h. SBM cells had optimal growth at 28°C with 5% FBS. The COI gene sequence from cytochrome C oxidase subunit I was used to authenticate the developed cell line. The myogenicity of SBM cells was confirmed using immunofluorescence. The immunological characterization of the MyoD and PAX7 was assessed in SBM cells at 2 different passages i.e., 10th and 25th passages. The expression of MyoD and PAX7 was higher at passage 10th compared to passage 25th. A revival rate of 80% was obtained when SBM cells were cryopreserved at − 196°C using liquid nitrogen. This study will enhance our understanding of invitro myogenesis and provide insights for cultivated seafood.
Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall: a case study of the Gilgel Ghibe catchment in Ethiopia
Authors: Rabba Zeinu Ahmed 
Published: January 2025

ABSTRACT

Remote sensing contributes valuable information to streamflows. Usually, streamflow is directly measured through ground-based hydrological monitoring stations. However, in many countries like Ethiopia, ground-based hydrological monitoring networks are either sparse or nonexistent. The lack of reliable in situ observational data severely limits our ability to manage water resources in a well-informed way in these regions. In such cases, satellite remote sensing is an alternative means of acquiring such information. In this study, the application of remotely sensed rainfall data in streamflow modeling for the Gilgel Ghibe catchment in Ethiopia is reported. Ten years (2001–2010) of satellite-based-precipitation-products (SBPPs) from Tropical Rainfall Measuring Mission (TRMM) and WaterBase, were combined with a PyTOPKAPI model to generate daily streamflows. We compared the results with that of the observed streamflows at the Gilgel Ghibe Nr, Assendabo gauging station using four statistical tools (bias, R2, NS, and RMSE). The result indicates that the bias-adjusted SBPPs agree well with gauged-rainfall. Without bias-adjustment, the SBPPs tend to overestimate the simulated streamflows. We further conclude that the general streamflow patterns were well captured at daily time scale from SBPPs after bias-adjustment. However, the simulated streamflow using gauged-rainfall is superior to those obtained from SBPPs including bias-adjusted ones.
QGIS: an effective tool in assessing the quantity and quality of groundwater resources
Authors: Mittal Ajay , Pandey Gaurav , Siddiqui N. A. , Mondal Prasenjit , Molokitina Nadezhda Sergeevna 
Published: January 2025

ABSTRACT

The study demonstrates the utilization of the Quantum Geographic Information System (QGIS) package, an open-source geographic information system (GIS) tool for evaluating the quantity and quality of groundwater resources. This research employed data from public sources pertaining to several sampling stations in the Indian city of Dehradun as its case study and converted this information into a digitized format. The use of QGIS allows for processing and analysis of huge data, leading to the creation of informative maps that depict the spatial distribution of groundwater characteristics. By employing spatial analysis techniques, the study aimed to gain insights into the state of groundwater resources, including their availability, variations in level, and suitability for drinking and irrigation purposes. By visualizing and analyzing the groundwater data using QGIS, the study contributes to the broader goal of managing water resources efficiently and helps policymakers, water resource managers, and other stakeholders make informed decisions regarding groundwater management, allocation, and conservation strategies.
A Comprehensive Review on Garlic Oil as an Anti-inflammatory Nanoemulsion
Authors: Gaikwad Amit R. , Borse Sandhya L. 
Published: January 2025

Abstract:
Although garlic oil is well known for its medicinal benefits, its low solubility and
lipophilic characteristics result in restricted bioavailability. The goal of this work was to create a
stable nanoemulsion technology that would increase the anti-inflammatory properties of garlic oil.
Particle size, stability, zeta potential, and polydispersity index were used to characterize the nanoemulsion.
in vitro and in vivo models were used to assess the formulated nanoemulsion's anti-inflammatory
properties. The findings showed that, in comparison to refined oil, the garlic oil nanoemulsion
had a noticeably stronger anti-inflammatory effect. The nanoemulsion showed less gastrointestinal
discomfort, extended activity, and enhanced absorption. According to these results,
garlic oil nanoemulsion shows promise as a possible treatment for inflammatory diseases. By creating
a nanoemulsion using essential oil of garlic (GEO), the volatile components of garlic oil
have been effectively encapsulated and protected by experts. The components in garlic oil are
more stable because of this encapsulation process, which also increases the ability of the body to
absorb and use them. For people taking garlic oil as a supplement or functional ingredient, the enhanced
bioavailability of garlic oil constituents through nanoemulsion may result in greater effectiveness
and health advantages. This improved stability helps keep the components in garlic oil
from oxidizing and degrading, guaranteeing their quality and effectiveness throughout time. Nanoemulsion
provides a workable way to add garlic oil to a variety of goods without sacrificing its
efficacy by prolonging the shelf life of garlic oil constituents. Garlic oil nanoemulsion has prospective
uses in the food, pharmaceutical, and agricultural sectors, among others.
Measures of state support for the development of human capital in the regional and sectoral cross-section
Authors: Kopteva Zh. Y. , Tomakova I. A. , Zabolotskikh M. O. 
Published: January 2025

Relevance. Russia's national projects cover various fields, including agriculture, and are aimed at improving living and working conditions. One of the key aspects of such projects is the development of human capital, that is, improving the level of education, health, culture and other social indicators of the population.Agriculture plays a key role in the economy and social sphere of the Kursk region, therefore, the impact of the implementation of national projects on the development of human capital in this sector is especially important.The purpose is a comprehensive analysis of the impact of the implementation of national projects on the development of human capital in agriculture in the Kursk region.Objectives. To identify the impact of the implementation of state programs and national projects on the dynamics of human capital in the agricultural sector of the economy in a regional context by analyzing their financing.Methodology. In the work, a logical research method was used to identify patterns of influence of interrelated factors, in addition, methods such as analysis and synthesis, as well as methods of economic statistics were used.Results. As a result of the research, it has been scientifically proven that the implementation of national projects in agriculture plays a key role as a driver of human capital development in the Kursk region. The consequences of these efforts can be felt both at the level of individual workers and enterprises, and at the level of the entire national level, contributing to sustainable development and improving the quality of life of the country's population.Conclusions. The findings of the Study show that the successful implementation of national projects in agriculture contributes to the improvement of human capital indicators. Improving living and working conditions in rural areas can lead to an increase in the attractiveness of this territory for young people and specialists, which ultimately can have a positive impact on the development of agriculture and the level of human capital in the region. This trend can be traced in the analysis of human capital assessment indicators in a regional context.
"Success" as a socio-cultural category: the Russian and Chinese value systems
Authors: Rarenko A. A. 
Published: January 2025

The relevance of the article is due to the fact that it discusses the topic of personal success, which has recently become particularly significant. The category of "success" is discussed in the light of the socio-cultural paradigm.The purpose of the study is to determine the role of the category "success" in the value system of modern Russian and Chinese students studying at Lomonosov Moscow State University.Objectives. The article sets and solves the following tasks: to identify the main components of the category "success" in Russian and Chinese cultures through the prism of the perception of young people aged 18-27; to analyze the data obtained during a social survey using an electronic questionnaire in the period from May 1 to May 31, 2024; to describe the differences in attitudes towards the category "success" in Russian and Chinese societies.Methodology. The research methods were comparative and comparative methods, as well as the method of analyzing the data obtained.Results. In the course of the study, the main components of the category "success" in Russian and Chinese cultures were identified through the prism of the perception of young people aged 18-27, and the data obtained during a social survey using electronic questionnaires from May 1 to 31, 2024 were analyzed, and differences in attitudes towards the category "success" in modern Russian and Chinese were established. societies.Conclusions. The hypothesis about the dependence of the perception of the category "success" in national societies on cultural and national characteristics has been confirmed. In modern Russian and Chinese societies, the category of "success" is becoming increasingly important and is perceived as one of the basic values with symbolic power. Chinese students, in evaluating themselves and others, are guided not so much by the opinions of others as by their own feelings. In this regard, they turned out to be more independent and independent of public opinion than Russian students.
On the issue of using artificial intelligence as a promising way of developing the hotel industry
Authors: Smirnova M. A. 
Published: January 2025

The relevance of the research is determined by the need to optimize operational processes in hotels, improve the quality of service, minimize the human factor, strengthen competitiveness and adapt to changes in the hotel services market. In the context of the rapid development of the hospitality industry and increasing competition, the introduction of modern technologies is becoming necessary to improve the efficiency of enterprises in the hotel sector.The purpose of the article is to provide an economic justification of the problems and prospects of using artificial intelligence technologies in the hotel industry.The objectives of the article include analyzing the role of artificial intelligence in improving the quality of accommodation facilities, popularizing services and goods in the hospitality industry, exploring the possibilities of using artificial intelligence to increase the competitiveness of hotel enterprises, and developing practical recommendations for the development of the hospitality industry in the Russian Federation.Methodology. In the process of research aimed at studying scientific publications, works of domestic experts, statistical materials and other relevant sources, the author of this work applied a set of general scientific methods, including analysis, observation, description, comparison, graphical visualization and synthesis.Results. During the study of the prospects for the development of the hospitality industry with the help of artificial intelligence, recommendations were formed on the effective use of AI technologies in the Russian hotel business.Conclusions. According to the results of the study, the authors conclude that the development of artificial intelligence technologies in the hotel business can contribute to the comprehensive development of the hospitality industry in the Russian Federation. The introduction of artificial intelligence (AI) into the hotel business opens up new opportunities for optimizing operational processes, improving the quality of service, minimizing the human factor and enhancing competitiveness.