bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seroprevalence, incidence estimates, and environmental risk factors for dengue, chikungunya, and Zika infection amongst children living in informal urban settlements in Indonesia and Fiji
Authors: Rosser Joelle I. , Openshaw John J. , Lin Audrie , Taruc Ruzka R. , Tela Autiko , Tamodding Nursehang , Abdullah Nurul Pausi Emelia , Amiruddin Murni , Buyukcangaz Esra , Barker S. Fiona , Turagabeci Amelia , Ansariadi Ansariadi , Leder Karin , Wahid Isra 
Published: November 2024

Abstract

Background
The burden of Aedes aegypti-transmitted viruses such as dengue, chikungunya, and Zika are increasing globally, fueled by urbanization and climate change, with some of the highest current rates of transmission in Asia. Local factors in the built environment have the potential to exacerbate or mitigate transmission.
Methods
In 24 informal urban settlements in Makassar, Indonesia and Suva, Fiji, we tested children under 5 years old for evidence of prior infection with dengue, chikungunya, and Zika viruses by IgG serology. We used a catalytic model using seroprevalence and mean age to estimate annual incidence of dengue in each country. We also conducted detailed questionnaires to evaluate environmental risk factors for a positive serology result. Dengue risk factors were evaluated for individual children by univariate and multivariable logistic regression accounting for settlement as a fixed effect. Trash and flooding were additionally evaluated as dengue risk factors at the settlement level by univariate linear regression.
Results
In Fiji and Indonesia respectively, 46% and 33% of children under 5 years old were seropositive for dengue, 3% and 3% for chikungunya, and 9% and 2% for Zika. In Indonesia, children living in a household where trash is routinely collected and removed were significantly less likely to be dengue seropositive in both unadjusted and adjusted models [adjusted model: OR 0.3 (95% CI: 0.1–0.8)]. In Indonesia, settlements with a higher proportion of households reporting flooding also had lower dengue rates (slope = 0.44; p-value: <0.05).
Conclusions
Household trash collection and community flood management are important targets for interventions to mitigate the increasing risk of Aedes aegypti-transmitted viruses.
Advancing ASD diagnostic classification using time-frequency spectrograms of fMRI BOLD signals and machine learning
Authors: Tikaram Tikaram , Raj Utkarsh , Ratnaik Ravi , Ronickom Jac Fredo Agastinose 
Published: November 2024

Abstract

In this study, our goal was to develop a diagnostic framework for autism spectrum disorder (ASD) by analyzing time-frequency spectrograms generated from BOLD signals in functional magnetic resonance imaging (fMRI) data. We used fMRI data from the Autism Brain Imaging Data Exchange (ABIDE) database and performed brain parcellation with Gordon’s, Harvard-Oxford, and Diedrichsen atlases. Time-frequency spectrograms were generated from the average time series of each region of interest (ROI) using methods like short-time Fourier transform, continuous wavelet transform, Mel frequency cepstrum (MFC), and smoothed pseudo Wigner-Ville distribution. From these spectrograms, we extracted various features, including the grey-level co-occurrence matrix, grey-level run-length matrix, fractal dimension texture analysis, Zernike moments, Hu moments, and first-order statistics. To evaluate the diagnostic model, we applied machine learning classifiers, including logistic regression, support vector machine (SVM), extreme gradient boosting, and random forest, alongside recursive feature elimination with 5-fold cross-validation (RFECV) and hyperparameter tuning. The SVM classifier using MFC spectrograms and RFECV yielded the highest performance, achieving an overall accuracy of 95.71%, sensitivity of 100%, specificity of 91.42%, F1-score of 95.76%, and area under the curve (AUC) of 95.71% with the top 36 features for the fronto-parietal task control network. In contrast, utilizing all 85 features for the somatosensory motor hand network resulted in an accuracy of 80.38%, sensitivity of 77.77%, specificity of 82.85%, F1-score of 80.27%, and AUC of 80.31%. These findings underscore the model's potential in the precise classification of ASD, offering valuable implications for early diagnosis and intervention.
Curie Point Depth as a Key Indicator of Hydrocarbon Maturity in the Southeastern Niger Delta Basin: Insights From Aeromagnetic Data
Authors: Ekpo Aniekan Emmanuel , Bassey Nsikak E. , George Nyakno J , Udo Itoro G. 
Published: November 2024

Abstract

This study focuses on the Curie point depth (CPD) as a critical factor in determining the hydrocarbon potential of the southeastern Niger Delta Basin, using aeromagnetic data to analyze subsurface thermal structures. The Curie point depth, which marks the depth at which ferromagnetic minerals lose their magnetic properties at a temperature of approximately 580°C, varies across the basin from 23.27 km to 83.15 km, with an average of 60.36 km. These variations in CPD, combined with geothermal gradient values ranging from 6.98°C/km to 24.93°C/km, and heat flow measurements between 17.44 mW/m² and 62.33 mW/m², provide insights into the thermal maturity of hydrocarbons in different regions. The findings indicate that blocks with intermediate CPD values, such as Blocks 2, 4, 7, and 29, with depths between 55.44 km and 62.60 km, are conducive to oil exploration due to their balanced thermal regimes. Conversely, blocks with shallow CPD values, like Block 9 (23.27 km), exhibit higher heat flow and geothermal gradients, making them better suited for gas exploration due to over-maturation of hydrocarbons. In contrast, deeper CPD regions, like Block 36 (83.15 km), reflect under-mature conditions, where hydrocarbon formation has not yet reached optimal levels. This study underscores the importance of CPD in guiding hydrocarbon exploration strategies in the Niger Delta Basin.
Mechanism of resveratrol affecting biological functions of breast cancer through glycolysis pathway
Authors: Gao Yu , Wang Yaoyao , Wang Baodi , Hu Qunying , Jiang Jirui , Feng Bo , Gao Xiuli , Liu Likun , Zhu Wenbin , Yue Liling 
Published: November 2024

Abstract

Background Phosphoglycerate kinase 1 (PGK1) plays a crucial role in the glycolytic pathway and its overexpression has a negative impact on tumor development and prognosis. Resveratrol, a natural polyphenolic compound, has gained significant attention in recent years due to its anti-inflammatory, antioxidant, and anti-tumor properties. However, the mechanism by which resveratrol inhibits breast cancer growth, invasion, and metastasis through the PGK1 glycolytic pathway is still not fully understood. Therefore, this study aimed to investigate the inhibitory effects of resveratrol on breast cancer cell proliferation and invasive migration, as well as its ability to promote apoptosis in vitro. Additionally, the study examined the inhibitory effects of resveratrol on the growth of mouse breast cancer graft tumors in vivo. Methods We analyzed the expression levels of glycolytic enzymes in different breast tissues and their correlation with the prognosis of breast cancer patients through GEPIA and The Human Protein Atlas database. Wound healing assay, Transwell migration and invasion assay were used to study the effect of resveratrol on the biological functions of breast cancer. RT-qPCR and Western blot methods were used to explore the potential molecular mechanism of resveratrol inhibiting the development of breast cancer through the PGK1 glycolysis pathway. In vivo experiments explore the biological mechanisms behind PGK1-mediated breast cancer proliferation and invasion. Results High expression of PGK1 is significantly associated with poor prognosis in breast cancer patients, and resveratrol induces breast cancer cell apoptosis in a dose-dependent manner, inhibiting PK, PGK1, LDH enzyme activity and ATP content. Resveratrol inhibits PGK1 expression and its related c-Myc/PI3K/AKT signaling pathway. Western blot experiments show that resveratrol affects the biological functions of breast cancer by inhibiting PCNA, MMP2 and MMP9 proteins and activating BAX/Bcl-2 and Caspase3/7 proteins. In addition, in vivo experiments show that resveratrol significantly inhibits the growth of transplanted tumors in breast cancer mice and inhibits breast cancer tumor proliferation, invasion and metastasis by downregulating PGK1 expression. Conclusion Resveratrol demonstrates inhibitory effects on breast cancer cell proliferation, invasive and migration, as well as induction of apoptosis in vitro. It also inhibits the growth of mouse breast cancer transplantation tumors in vivo and exhibits oncostatic effects both in vitro and in vivo. Moreover, resveratrol reduces the expression of PGK1 in breast cancer BT-549 cells by regulating the transcription factors c-Myc. This regulation leads to the blockage of cellular glycolysis pathways, ultimately inhibiting the malignant biological behavior of breast cancer cells.
Detecting Fake Colorized Images: An End-to-End CNN Framework with Multi-Color Space Analysis
Authors: AL-GHANIMI Hayder , Lakizadeh Amir 
Published: November 2024

Abstract

Identifying forged colorized images has become more important as sophisticated image editing methods become more widespread, in use. This study suggests a Convolutional Neural Network (CNN) system that is tailored to pinpoint images, with precision and speed from start to finish. The system uses a color space strategy that integrates RGB, HSV and YUV color spaces to detect a wide spectrum of chromatic and spatial characteristics. Through incorporating color consistency measurements, like the Structural Similarity Index (SSIM) and the ∆E color difference formula, into the systems framework effectively spots color variations generated by artificial coloring methods. Based on the findings provided in the study report the new model surpasses existing techniques by achieving an accuracy rate of 95% a precision rate of 94% a recall rate of 96% and an AUC–ROC score of 0.982. Moreover, the model provides benefits as it can process images 20 to 30 percent more swiftly compared to ResNet based approaches while also requiring less memory space. The study adds value to the field by presenting an effective approach, for identifying colorized images that could be useful in tasks, like image forensics, content validation and security setups. To promote transparency and reproducibility efforts we have made our resources publicly available. You can find the open source code and datasets at the following link: https://github.com/hha00m/fake_colorized_paper/tree/v1.0.0
Collagen-derived hydroxyproline-containing cyclic dipeptides prevent photoaging-related inflammatory response in UVB-irradiated epidermal keratinocytes
Authors: Kumazawa Yuki , Mizuno Kazunori , Taga Yuki 
Published: November 2024

Abstract

Reactive oxygen species (ROS) are major contributors to skin photoaging, which is cumulatively caused by sunlight exposure. We previously developed a unique collagen hydrolysate, named H-GDCH, enriched with hydroxyproline (Hyp)-containing cyclic dipeptides, cyclo(X-Hyp), using ginger protease and subsequent heat treatment. Here, we demonstrated the inhibitory effects of cyclo(X-Hyp) and H-GDCH on ultraviolet B (UVB)-induced photoaging-related inflammatory response in normal human epidermal keratinocytes (NHEK). Cyclo(X-Hyp) significantly decreased intracellular ROS generated by ultraviolet B irradiation. The ROS scavenging ability of cyclo(X-Hyp) was superior to that of the corresponding linear dipeptides (X-Hyp) and Pro-containing cyclic dipeptides [cyclo(X-Pro)], respectively. ROS-induced activation of inflammatory pathways, including nuclear factor-κB and mitogen-activated protein kinases, and subsequent expression of matrix metalloproteinase-2 and − 9 were suppressed by cyclo(X-Hyp) and H-GDCH. ROS production and the downstream events simulated by UVB were also prevented by culturing with H-GDCH. Cyclo(X-Hyp) penetrated human dermatomed skin with high efficiency, reaching 10% after a 24-hour incubation. These results indicate that cyclo(X-Hyp) and cyclo(X-Hyp)-rich collagen hydrolysate, H-GDCH, have the potential of improving skin health as anti-photoaging cosmetics and functional foods.
Effect of Nosocomial Infection Control Guidelines on Nurses` Performance at Burn Units
Authors: abbas fathia , Hassaneen Amira , Ibrahim Mona , Ahmed Shereen 
Published: November 2024

Abstract

The strict follow-up of nosocomial infection control guidelines by nurses working in burn units promotes adherence, overcome challenges, and improves the patient outcomes. The aim of the current study was to evaluate the effect of infection control guidelines on nurses' performance at burn unit. Method: A Quasi-experimental non-randomized research design using one group (Pre and post) using a convenience sample of all available nurses work at the burn units affiliated to Mansoura university hospitals with total number of (82) nurses from both sexes with diverse ages, years of experience, and different level of education. Three tools were used: Structured questionnaire to assess demographic data and nurses’ knowledge, checklist to monitor nurses’ level of practices, and questionnaire to identify attitudes toward infection control guidelines. Data were analyzed using IBM-SPSS using software Chi-Square test, Z-test, t-test, Wilcoxon Signed Rank test, Correlation Coefficient (r). Results: Showed statistically significantly improvement in attitude, practices and knowledge levels after the application of the infection control guidelines. The study concluded that there is a strict need to follow infection control guidelines as they have positive effects on improving attitude, practices and knowledge of nurses working at the burn units. Recommendation: encourage continuous online education and training through mobile devices, utilizing audio visual aids for enhanced learning.
Psychometric Properties of the Nursing Start-up Attitude Scale in Iranian nursing students
Authors: Jafari Iman , Jafari-Oori Mehdi , Ebadi Abbas 
Published: November 2024

Abstract

Background
Entrepreneurial attitudes among nursing students are crucial for fostering innovation and addressing the evolving challenges in healthcare. However, measuring these attitudes accurately requires robust and validated instruments. The Nursing Start-up Attitude Scale is a valid and reliable instrument specifically designed to measure nursing students' attitudes towards start-ups. However, its psychometric properties in the context of the Iranian nursing field have not been thoroughly examined.
Methods
This methodological study was conducted online between 2022 and 2023, involving nursing students from various universities across Iran. The study employed the following procedures: forward-backward translation, assessment of face and content validities, concurrent validity analysis (n = 80 nursing students), exploratory factor analysis (n = 120), confirmatory factor analysis (n = 220), and reliability analysis, which included the assessment of Cronbach's alpha coefficient, interclass correlation coefficient, interpretability, and ceiling and floor effects.
Results
A total of 370 nursing students participated in the study. After ensuring the face and content validities, the concurrent validity was confirmed (r = 0.89). The five factors extracted in the exploratory factor analysis, which accounted for 80.74% of the explained variance, were subsequently confirmed in the confirmatory factor analysis. The Cronbach's alpha coefficient was found to be 0.85. Additionally, the interclass correlation coefficient for the total scale was 0.812, and there were no ceiling or floor effects observed (0%).
Conclusion
The present study confirms the validity and reliability of the Nursing Start-up Attitude Scale in the Iranian context. This scale can serve as a valuable tool for identifying both the strengths and areas for improvement in nursing entrepreneurial education programs. By utilizing the Nursing Start-up Attitude Scale, these programs can effectively enhance the development of entrepreneurial skills among future nursing professionals.
Gut microbiota influences colorectal cancer through immune cell interactions: a mendelian randomization study
Authors: zheng linyi , li yuqiang 
Published: November 2024

Abstract

Colorectal cancer (CRC) is the most prevalent malignant tumor of the digestive system worldwide, representing a significant threat to human health and quality of life. Numerous studies have established associations between gut microbiota and immune cells with CRC; however, there remains a limited understanding of how gut microbiota influences the development and progression of CRC through immune mediators.To elucidate the impact of gut microbiota on CRC via immune cells, we conducted a two-sample, bidirectional Mendelian randomization analysis. Our investigation utilized data from 731 immune cell types and 473 gut microbial species sourced from the GWAS database, alongside colorectal cancer statistics derived from the FinnGen R9 database. We employed several methodologies, including inverse variance-weighted (IVW) analysis, MR-Egger regression, the weighted median method, and both weighted and simple model approaches, to explore the causal relationships between gut microbiota and CRC, immune cells and CRC, as well as the interactions between gut microbiota and immune cells. Sensitivity analyses further confirmed the reliability of the Mendelian randomization results, while reverse Mendelian randomization was applied to assess the overall impact of gut microbiota on CRC.Our findings suggest a causal relationship involving nine immunophenotypes and five specific gut microbial taxa with CRC. Notably, the gut microbes Alloprevotella and Holdemania, along with immune cell types CD3 on CD28- CD8br and CD4 + T cells, demonstrated significant causal associations with CRC. Mediation analysis revealed that the association between Alloprevotella and CRC was mediated by CD4 + T cells, exhibiting a mediation effect of 6.48%. Additionally, Holdemania was found to mediate its association with CRC through CD3 on CD28- CD8br, showing a mediation effect of 9.29%. Notably, reverse Mendelian randomization did not indicate any causal effect of CRC on specific immune cells or gut microbiota.Two-sided sensitivity analyses revealed no evidence of heterogeneity or horizontal pleiotropy in our findings. Collectively, this comprehensive Mendelian randomization study enhances our understanding of how gut microbiota affects CRC through immune cell interactions. Further investigations are warranted to unravel the underlying mechanisms linking gut microbiota, immune cells, and colorectal cancer.
Tumor repressor gene chondroadherin opposes migration and proliferation in breast cancer and predicts a good survival
Authors: Ma Xiaoqing , Yang Siyuan , Liu Lingxiang 
Published: November 2024

Abstract

Molecular prognosis and potential therapeutic targets are urgently needed for improving breast cancer (BC) management. To investigate the role of chondroadherin (CHAD) expression in breast cancer prognosis and its potential as a therapeutic target, specifically focusing on its correlation with cancer malignancy and patient survival. Expression levels of CHAD were analyzed at both mRNA and protein levels in several independent datasets. Survival analysis was conducted on these datasets. Comparisons were made between metastasis-averse and metastasis-inclined BC groups. Associations with clinical and pathological staging were explored. CHAD knockdown experiments were conducted in two cell lines, T47D and ZR75-30, to assess impacts on proliferation and migration. GO/KEGG enrichment analysis was performed to determine CHAD's involvement in molecular functions, cellular components, and biological processes. Western blotting was used to assess CHAD's impact on the PI3K/Akt signaling pathway. CHAD expression was significantly reduced in high malignancy groups compared to low malignancy groups in multiple datasets. Lower CHAD expression was significantly associated with poor survival in breast cancer patients. Metastasis tendentiousness decreased with increased CHAD expression. Higher grade BC patients exhibited lower CHAD expression levels. CHAD knockdown led to a significant increase in both proliferation and migration in T47D and ZR75-30 cell lines. Enrichment in KEGG pathways: "focal adhesion", "ECM receptor interaction", "regulation of actin cytoskeleton", and "PI3K/Akt pathway". Western blotting showed CHAD inhibition of PI3K and Akt phosphorylation. CHAD acts as a tumor suppressor gene and potential prognostic biomarker in breast cancer by repressing cell migration and proliferation through cell adhesion mediation and PI3K/Akt pathway inhibition. Its reduced expression aligns with poorer prognosis, suggesting potential therapeutic targeting opportunities.
Unveiling the Mechanisms of Bioenzyme and Biopolymer Sand Stabilization: A Chemical and Microstructural Approach
Authors: Thomas Geethu , Nayak Ripsa Rani , Gupta Navneet Kumar , Latha Gali Madhavi 
Published: November 2024

Abstract

This paper presents a detailed study of the bio-cementation effect of TerraZyme in sands, which has not been understood so far due to micro and mesoscale variations in treated soil. The results are compared with those obtained using Xanthan gum for stabilization. Advanced chemical and microstructural tests revealed that both additives significantly improved the strength of sand, with significant improvements observed within 30 days of curing. TerraZyme modifies the elemental structure of sand-Kaolin mixtures, whereas Xanthan gum acts mainly through weak binding by altering the soil matrix. The mechanism of TerraZyme action is explained in detail, giving insights into the chemical processes responsible for cementation and strength improvement. The study highlights the prospects of bio-stabilization methods for sustainable ground improvement and recommends the use of natural additives like biopolymers and enzymes in place of conventional materials like cement and lime for environmentally responsible development.
Prototyping A Multi-Agent System to Enhance AI-Human Collaboration in Individualized Education Program Development
Authors: ZHANG LING , Jackson Haidee , Yang Sohyun , Qian Xueqin , Carter Richard , Diliberto Jennifer , Zhang Jihong 
Published: November 2024

Abstract

In this study, we report on the design, development, and evaluation of a prototype of CoIEP, a multi-agent system powered by large language models (LLMs) to co-create Individualized Education Programs (IEPs) with special education teachers. IEPs are legally binding documents that outline interconnected components, such as present levels of performance, annual educational goals, and specially designed instruction, all essential for ensuring access to the general education curriculum and high-quality learning experiences for students with disabilities. CoIEP is designed to streamline the complex process of IEP development by breaking down the step-by-step process of creating each IEP component and demonstrating the interconnectedness among these core components. In particular, CoIEP incorporates a “human-in-the-loop” function that provides ample opportunities to reflect on, evaluate, and improve LLM-generated content. Preliminary evaluations suggest that CoIEP has the potential to support educators in creating high-quality IEP core components. Implications for future research on developing a fully functional CoIEP and its potential use as a professional learning tool are discussed.