bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of hepatitis B virus infection and associated factors among pregnant women attending antenatal care at Wolaita Sodo University Comprehensive and Specialized Hospital, Southern Ethiopia, 2024: an institution based cross-sectional study
Authors: Urmale Addisu , Orkaido Okaso , Mesfin Abel , Elias Amanuel , Jebero Zenebe 
Published: October 2024

Abstract

Background
Hepatitis B virus is a hepatotropic deoxyribonucleic acid virus that occurs because of the immune-mediated killing of infected liver cells. Around 1.45 million persons died yearly from hepatitis B virus infection. Previous studies done in hepatitis B virus infection used the focused antenatal care while currently World Health Organization recommends eight contacts for antenatal care. In addition previous studies did not address variable like number of antenatal care contact.
Objectives
The aim of this study was to assess prevalence of hepatitis B virus infection and associated factors among pregnant women attending antenatal care at Wolaita Sodo University Comprehensive and Specialized Hospital, Southern Ethiopia 2024
Methods
An institutional-based cross-sectional study design was conducted from August 1 to 30, 2024. A systematic random sampling technique was used to select 141 study participants. Data was cleaned and entered to Epidata version 3.1 and were exported to SPSS version 26.0 software for analysis. Variables with p < 0.25 from the simple binary logistic regression were entered into a multivariable logistic regression model. P-value < 0.05 with 95% CI was considered to declare a result as a statistically significant association. Descriptive statistic was used to describe the data in form of text, tables, and charts.
Results
In this study the prevalence of hepatitis B virus infection among pregnant mothers was 5.9% in Wolaita Sodo University Comprehensive and Specialized Hospital. being unmarried [AOR (0.18), 95% CI (0.07, 0.48); p-value (0.001)], having history of abortion [AOR (4.8), 95% CI: 1.39, 16.23); p-value (0.013)], tattooing [AOR (11.9), 95% CI (3.42, 41.39); p-value (0.000)], and residence [AOR (7.6), 95% CI (1.36, 42.3); p-value (0.021)] had statistically significant association with positivity of HBV infection.
Conclusions
Sero-prevalence in study area among pregnant women shows intermediate endemicity. In this study tattooing and having abortion are modifiable factors associated with HBV. Interventions should be targeted on those modifiable and non- modifiable variables by all concerned bodies.
ZBLAN in Space: A Comparison of Phase Transitions in Microgravity versus Earth's Gravity
Authors: Nosek Adrian , Wan Jacky , Pitts Jackson , Boghrat Pedram , Kanyuck Alec , Harper Lynn , Huning Steven , Tucker Dennis , Sanghera Jasbinder Singh , Gabor Nathaniel , De Amrit 
Published: October 2024

Abstract

Understanding how certain materials behave in space is vital for establishing a sustainable manufacturing base in low-earth-orbit, which is currently spearheaded by the International-Space-Station (ISS) National Lab and NASA's In-Space Production Applications Portfolio.
This paper presents phase transition measurements of ZBLAN glass on the International Space Station (ISS) , which provides key insights into spontaneous symmetry breaking in microgravity and earth's gravity. Despite the presence of vibrations, we find the glass to be more resistant to bulk-crystallization phase-changes in space. However, the surface continues to be vulnerable under ambient conditions. We conducted a set of 10 differential-calorimetry tests in the Microgravity Science Glovebox, including 2 sets of controls. A set of similar nearly identical samples were studied on the ground. Glass transitions manifest as endothermic events in our differential calorimeters, and crystallization is marked by exothermic inflections for each sample. On an average our space sample shows significantly less bulk-crystallization in the viscosity and temperature regime most significant for drawing optical fibers. All samples were subjected to temperatures exceeding $425^o C$ and they all crystallized to varying degrees. The crystals that grew in space tend to be about one hundred times larger and well faceted. We find $\alpha-BaZr_2F_{10}$ to be the most commonly occurring crystalline-species and forms at lower temperatures close to around $320^\circ C$. $\beta-BaZr_2F_{10}$ is also common and forms around the same temperature. There is also some indication that less of the $\beta-BaZr_2F_{10}$ polytype forms in space. Overall a deep understanding of the phase-diagrams and crystallization-reaction pathways is key for developing targeted mitigation strategies for future space-stations and orbital free-flyers that will serve as manufacturing platforms.
Efficient analysis of the toxicity and mechanisms of Hexaconazole and two other triazole fungicides: insights from integrated network toxicology, molecular docking and bioinformatics data
Authors: Lv Qing , Zhu Xingke 
Published: October 2024

Abstract

Background: The safety of food grains is crucial for human health. Hexaconazole, Propiconazole, and Prothioconazole are widely used triazole fungicides primarily employed in agriculture for the control of plant diseases, aiming to enhance crop yield and quality.
Objective: This research aims to elucidate the potential toxic targets and underlying molecular mechanisms of brain and liver damage induced by exposure to the three fungicides through network toxicology combined with molecular docking and bioinformatics data analysis.
Method and results: Toxicity analysis through the ADMETlab database showed that the toxicity of the three fungicides was mainly associated with neurotoxicity and liver injury. Systematically utilizing GeneCards, OMIM and other databases and through Cytoscape tools, we identified potential and core targets (including EGFR, CASP3, ESR1, PPARG, TP53, HSP90AA1, and PTGS2) associated with fungicides and brain injury or liver injury. GO and KEGG enrichment analyses indicate that these targets are associated with pathways related to cancer, the PI3K-Akt signaling pathway, organic cyclic compounds, and organic nitrogen compounds. Molecular docking simulations conducted using AutoDock confirmed the high-affinity binding interactions between the fungicides and key target proteins.
Conclusions: This study provides a theoretical foundation for understanding the molecular mechanisms underlying the neurotoxicity and hepatotoxicity induced by Hexaconazole, Propiconazole, and Prothioconazole, while establishing a foundational framework for the development of prevention and treatment strategies related to triazole pesticide-associated brain and liver injuries. Our findings underscore the potential risks these three pesticides pose to brain and liver health, highlighting the need for further epidemiological and clinical research in the future.
Dividend Announcements and capital market efficiency : Evidence from the algerian stock market
Authors: BOUFAMA OMAR , ROGOVA ELENA 
Published: October 2024

Abstract

The aim of the study is to examine the efficiency of the Algerian financial market by analyzing the reaction to dividend announcements between 2013 and 2022. Algeria represents a good example of small capital markets, with thin trading and rare events. To examine the market reaction, we modified the common approach to event study analysis by estimating abnormal returns based on monthly data. Our findings suggest that market information is distributed slowly and prices do not fully incorporate new information. These findings indicate that the financial market in Algeria does not satisfy the semi-strong form of market efficiency. The paper presents one of the first studies to investigate the efficiency of the Algerian financial market based on the response to dividend announcements.
PLGLM: Emotion Recognition in Conversation based on Prompt Learning and Global-Local speaker Modeling
Authors: Yu Bengong , Shao Menglu , Xi Zhonghao 
Published: October 2024

Abstract

With the continuous development of conversational artificial intelligence, Emotion Recognition in Conversation (ERC) has garnered increasing attention. Psychological studies have shown that the speaker's self-emotional dependence and the influence between speakers are two core factors in sentiment analysis within conversations. Existing works typically generate responses to target utterances through training models, aiming to identify emotions by leveraging contextual information. However, incorporating additional context into target sentences complicates the task for language models to accurately identify the crucial information within the target sentences. To address this issue, we propose a novel model that separately models the speaker's self-emotion and the influence between speakers. Specifically, for the recognition of target utterances, we design prompt tailored to the task of Emotion Recognition in Conversation and integrate them with extracted keywords to form prompt sentences. Furthermore, to accurately capture the speaker's self-emotional state, we conduct analyses from both local and global perspectives, thereby capturing the speaker's emotional inertia. Extensive experiments conducted on four ERC datasets demonstrate the superiority of our proposed method.
Virtual Influencer Marketing and Purchase Intention: The Mediating Roles of Product
Involvement and Brand Familiarity
Authors: Biason Ricardo , Elnagar Ahmed K. , Tolete Clarissa , Elsaadany Hala A. S. , Hasan Shahedul , Santos Larissa 
Published: October 2024

Abstract

Virtual influencers have emerged as effective marketing tools, especially in social media contexts where they can influence consumer behaviour. This study investigates the effect of virtual influencer marketing on purchase intentions for sports goods in the Philippines, using product involvement and brand familiarity as mediators. Data from 319 participants were collected and analyzed using a variance-based structural equation modelling (PLS-SEM) approach. The findings indicate that virtual influencer marketing significantly impacts product involvement, brand familiarity, and purchase intention. Furthermore, product involvement and brand familiarity significantly mediate the relationship between virtual influencer marketing and purchase intention. Virtual influencers are important in establishing brand trust and engaging customers through emotional connections. The study contributes to the growing body of knowledge on influencer marketing by demonstrating the efficacy of virtual influencers in the sports goods industry. Virtual influencers effectively drive purchase intentions by increasing product involvement and brand familiarity. Marketers can use virtual influencers to increase consumer engagement, brand awareness, and purchase intent in competitive markets.
Proximate and Mineral content Analysis of African Star Apple (Chrysophyllum albidum)
Authors: Ogbu J.C. , Etuk-Udo Godwin , Ugoh S.C. , S.M.C. Udeh , Odunsanya O.O. 
Published: October 2024

Abstract

The proximate analysis of African Star Apple indicated that the moisture content of the plant material was 11.47 ± 0.10%, the ash content was 1.74 ± 0.02%, the crude fibre and crude fat were 2.42 ± 0.02% and 3.28 ± 0.04% respectively while the Nitrogen free extract was 0.51 ± 0.00%, crude protein was 1.86 ± 0.01% while carbohydrate was 81.64 ± 0.06% and a gross energy of 1.52 kcal. The result of mineral content analysis indicated that cupper had concertation of 2.44 ± 0.00 mg/kg, iron (2.24 ± 0.03 mg/kg), potassium (1.32 ± 0.00 mg/kg), Magnesium (1.26 ± 0.00 mg/kg), calcium (0.94 ± 0.00 mg/kg), nickel (0.51 ± 0.02 mg/kg), chromium (0.16 ± 0.01 mg/kg), cadmium (0.03 ± 0.00 mg/kg).
In Vitro and In-Vivo Analysis of the Combined Extract of Tabernaemontana divaricata and Mangifera indica Leaves for Enhanced Anti-Inflammatory and Antioxidant Properties
Authors: Walanj Ganesh Mangesh , Kumar Anand , KumarTiwari Dilip , Sharma Abhishek , Thakare Pranjali , Kumar Devesh , Sarwary Nasir Ahmad 
Published: October 2024

Abstract

Ethnopharmacological Relevance: Tabernaemontana divaricata
(T. divaricata) and Mangifera indica (M. indica) are plants traditionally used in Ayurvedic medicine for their anti-inflammatory and antioxidant properties. T. divaricata is known for its analgesic and wound-healing effects, while M. indica is celebrated for its role in managing inflammation and oxidative stress.
Aim of the Study:
The study aimed to evaluate the synergistic effects of combined hydroalcoholic extracts from T. divaricata and M. indica leaves, focusing on their anti-inflammatory and antioxidant properties.
Materials and Methods
The leaves were collected, authenticated, and subjected to hydroalcoholic extraction. The extracts were then combined in various ratios and analyzed for phytochemical content. The antioxidant activity was evaluated using the DPPH assay, while anti-inflammatory effects were assessed through the carrageenan-induced rat paw edema model.
Results
The combined extracts exhibited significantly enhanced antioxidant and anti-inflammatory activities compared to the individual extracts. The most potent combination, a 2:1 ratio of M. indica to T. divaricata, showed the highest DPPH inhibition (94.37%) and maximum edema reduction in the animal model.
Conclusion
The combination of T. divaricata and M. indica extracts offers a synergistic therapeutic potential, enhancing both antioxidant and anti-inflammatory effects, which supports their traditional use and suggests potential for developing new natural therapeutics.
The determination of seismic performance of single-story masonry building
Authors: Uzdil Oguz 
Published: October 2024

Abstract

Unreinforced masonry buildings are important for preserving traditional construction techniques for future generations. However, such buildings are generally inadequate against earthquake loads. In this study, a comprehensive evaluation was conducted, taking into account the building's current condition, material properties, and geometric structure. The existing condition of the single-story building and the necessary structural data were collected. In light of these data, various earthquake analyses were performed on the structure. Modern engineering methods, such as response spectrum analysis, nonlinear static pushover analysis, and kinematic analysis, were used. The results showed that high stresses and deformations occurred in certain areas of the structure. In particular, the analyses aimed at identifying weak areas and potential collapse mechanisms revealed critical points in the structure. Based on these findings, recommendations were developed for strengthening the building. Retrofitting strategies include approaches such as improving the structural system, increasing material strength, and integrating new technologies. This study serves as an important guide for assessing the seismic performance of residential buildings and provides a foundation for future research.
Hypoxia Mesenchymal Stem Cell Secretome Enhances IL-10 via STAT3 Pathway in a Rat PCOS Model
Authors: Lusiana  , Darlan Dewi Masythah , Trisnasi Setyo , Putra Agung , Amalina Nur Dina , Husain Sofian Azalia 
Published: October 2024

Abstract

Background
Polycystic ovary syndrome(PCOS) is a condition of chronic anovulation and hyperandrogenism which commonly causes infertility. PCOS is closely associated with chronic inflammation triggered by glucose and saturated fat, causing hyperandrogenism. PCOS has been proven to affect patient’s quality of life and cause infertility, so a better therapeutic approach is needed. The secretome of MSCs is able to suppress the secretion of pro-inflammatory cytokines and growth factors. Administration of secretome MSCs can inhibit the inflammatory response by increasing IL-10 expression and inhibiting androgen secretion in PCOS model mice. Objective: To prove the effect of administration of Hypoxic Mesenchymal Stem Cell Secretome on IL-10 and STAT3 gene expression in PCOS model mice.
Method
In vivo experimental research with a post-test only control group design. The total sample was 24 wistar female rats, divided into four groups: healthy, negative control (PCOS rats were injected with 0.9% NaCL), T1 (PCOS rats were given Secretome at a dose of 200 µl) and T2 (PCOS rats were given Secretome at 400 µl) and were given treatment for 33 days. IL-10 and STAT3 gene expression was tested using the One Way Anova test followed by the Post Hoc LSD test.
Results
This study showed that the expression of the IL-10 and STAT3 genes was significant different in the T2 group compared to the negative control and there was a significant difference in IL-10 gene expression in groups T2 and T1 compared to negative control. And also there were differences in the expression of the STAT3 gene in the T2 And T1 groups.
Conclusion
Administration of Hypoxic Mesenchymal Stem Cell Secretomes had an effect on increasing IL-10 and STAT3 gene expression in PCOS rat models.
Life Expectancy of Hairy Cell Leukemia Patients Approaches General Population: Insights from a SEER Study of 5669 Cases
Authors: Mustafa Alamin 
Published: October 2024

Abstract

Introduction: Hairy cell leukemia (HCL) is a rare lymphoproliferative disorder affecting mature B-cells, predominantly observed in males. It is recognized by cytopenia, splenomegaly, myelofibrosis, and the presence of atypical lymphoid cells exhibiting distinctive cytoplasmic hairy projections.
Methods: This is a population-based study that utilized updated HCL clinical data from the Surveillance, Epidemiology, and End Results (SEER) database, this study identified HCL patients diagnosed between 1978 and 2020. A total of 5669 patients were included after data screening by inclusion and exclusion criteria. Univariate and multivariate COX regression models were used to study the factors that affect the overall survival (OS).
Result: Estimated median survival for HCL patients who aged less than 40 years was 39.3 (95% CI: 38.9-39.7 years) compared to 8.8 years (95% CI: 8.0-9.4 years) for HCL patients older than 65 years, which closely approaching life expectancy of general population. Also, patients diagnosed by multiple advanced methods like immunophenotyping and genetic studies exhibited a reduced Hazard ratio (HR) = 0.52 (95% CI: 0.38-0.72) compared to using histology alone.
Conclusion: This study found that the life expectancy of HCL patients is very close to that of the general population. Improved OS is associated with recent diagnoses (post-2006), chemotherapy treatment, and usage of multiple advanced diagnostic methods, such as immunophenotyping and genetic studies.
Integrating Radial Basis Networks and Deep Learning for Transportation
Authors: Singh Jagendra , Kumar Sandeep , Ravi Vinayakumar , Singh Prabhishek , Ravi Pradeep , Diwakar Manoj , Gupta Indrajeet 
Published: October 2024

Introduction
This research focuses on the concept of integrating Radial Basis Function Networks with deep learning models to solve robust regression tasks in both transportation and logistics.

Methods
It examines such combined models as RNNs with RBFNs, Attention Mechanisms with Radial Basis Function Networks (RBFNs), and Capsule Networks with RBFNs and clearly shows that, in all cases, compared to the others, the former model has a Mean Squared Error (MSE) of 0.010 to 0.013, Mean Absolute Error (MAE) – 0.078 to 0.088, and R-squared (R2) – 0.928 to 0.945, across ten experiments. In the case of Attention Mechanisms with RBFNs, the models also demonstrate strong performance in terms of making predictions. The MSE ranges from 0.012 to 0.015, the MAE from 0.086 to 0.095, and the R2 from 0.914 to 0.933.

Results
However, it is critical to note that the Capsule Networks with RBFNs outperform other models. In particular, they offer the lowest MSE, which is between 0.009 and 0.012, the smallest MAE, which ranges from 0.075 to 0.083, and the highest R2, from 0.935 to 0.950.

Conclusion
Overall, the results indicate that the use of RBFNs in combination with different types of deep learning networks can provide highly accurate and reliable solutions for regression problems in the domain of transportation and logistics.
State of the Art of Students Psychological Needs at the Level of Higher Education Institutions in Morocco: A Systematic Literature Review
Authors: El Aatik Yassine , El Habchi Maha , Gazzaz Hassane , Elouardi Abdelghani , El Feniche Mohammed , Kisra Hassan 
Published: October 2024

Introduction
This study uses a systematic literature review to analyze the current state of psychological needs among students in higher education institutions in Morocco. Students' psychological well-being is a significant public health concern in Morocco and is essential to both their academic success and social integration. Despite growing recognition of the significance of mental health in the academic setting, research on this topic is still incomplete and fragmented.

Methods
This article examines the current state of students' psychological needs at the level of higher education institutions in Morocco through a systematic review of the literature. By analyzing existing literature, the study seeks to provide a comprehensive understanding of the well-being of Moroccan students, identifying key psychological needs and risk factors.

Results
The analysis of 11 studies from 2010 to 2024 revealed critical information about the multifaceted nature of students' psychological needs in Morocco. The results were organized into several thematic categories: autonomy, competence, social relationships and support, self-esteem, and personal development. The review highlighted patterns of psychological needs and identified important risk factors such as mental health disorders, psychosocial stressors, and socio-economic challenges.

Conclusion
This systematic review clarified the landscape of research on students' psychological well-being in Morocco and identified critical needs and risk factors. It is imperative to develop appropriate support strategies to improve students' well-being and foster their academic success and social integration.