bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction and Application of Intelligent Landslide Warning System Based on Fusion of Multiple Source Data
Authors: Liu Dunlong , Xie Zhaoyang , Tang Dan , Sang Xuejia , Zhang Shaojie , Chen Qiao 
Published: February 2024

Abstract
Deformation development of landslides is a complex process that usually requires the deployment of various monitoring devices on a slope to obtain data from multiple sources for effective analysis. Only through this process can an accurate judgment be made regarding the entire evolutionary trend of slope deformation. Monitoring data obtained through multiple sensors have a certain degree of correlation, randomness, and redundancy. The effective processing of these data is crucial for monitoring and providing warnings. Given that machine learning is adept at uncovering implicit patterns from heterogeneous data sources, it is well suited for predicting landslide deformation with multi-factor monitoring. The sample dataset forms the foundation for training the models, and the quality and quantity of the dataset directly affect its accuracy and generalization ability. However, significant deformation in landslide bodies is relatively rare, leading to an imbalance in the collected sample dataset. To address this issue, this study proposed the genetic algorithm improved multi-classification-genetic-synthetic minority oversampling technique (SMOTE)-algorithm (GAMCGSA). Building on the multi-classification-genetic-SMOTE-algorithm (MCGSA), it integrated genetic algorithms to determine the optimal sampling rate. Based on this rate, new samples were generated, avoiding the creation of a large number of synthetic samples and effectively addressing the issue of sample imbalance. Subsequently, a convolutional neural network (CNN) was employed to process non-image data from multiple sources, resulting in the development of an intelligent landslide warning model. According to the test results, the F1 score of this model reached 84.2% with an accuracy of 90.8%, surpassing those of traditional machine learning models. Based on the developed warning model and utilizing popular development frameworks, geographic information systems, and database technologies, an intelligent landslide monitoring warning system was constructed. This system integrates intelligent landslide monitoring and warning services, and provides scientific and reliable technical support for landslide disaster prevention and reduction.
Pterional vs Lateral Supraorbital Approach in the Management of Middle Cerebral Artery Aneurysms: Insights from a Phantom Model Study
Authors: Amini Amir , Swiatek Vanessa , Stein Klaus-Peter , Rashidi Ali , Sandalcioglu I. Erol , Neyazi Belal 
Published: February 2024

Abstract

Background
The pterional approach has traditionally been employed for managing middle cerebral artery (MCA) aneurysms. With potential benefits like reduced surgical morbidity and improved postoperative recovery, the lateral supraorbital approach (LSO) should be considered individually based on aneurysm morphology, location and patient-specific variations of the MCA anatomy, which requires considerable technical expertise traditionally acquired through years of experience.
Objective
Development and evaluation of a novel Phantom simulator in the context of clinical decision-making in the managmement of MCA aneurysm.
Materials and Methods
High-fidelity Phantom simulators inclusive of MCA models with identical M1- and bifurcation aneurysms were manufactured employing 3D reconstruction techniques, additive manufacturing and rheological testings. Medical students, neurosurgical residents, and seasoned neurosurgeons (n = 22) tested and evaluated both approaches. Clipping quality, participants’ performances and progress over time were assessed based on objective metrics.
Results
The simulator received positive ratings in face and content validity, with mean scores of 4.9 out of 5, respectively. Objective evaluation demonstrated the model’s efficacy as a training and assessment tool. While requiring more technical expertise, results of the comparative analysis suggest that the LSO approach can improve clipping precision and outcome particularly in patients with shorter than average M1-segments.
Conclusion
The employed methodology allowed a direct comparison of the pterional and LSO approaches, revealing comparable success rates via the LSO while reducing operation time and complication rate. The Phantom proved to be an effective training, particularly among inexperienced participants. Future research should aim to establish simulators in the context of clinical decision making.
Exploring the relationship between Metabolic Syndrome and Vestibular Dysfunction: insights from NHANES data and mendelian randomization analysis
Authors: Zhang Lingli 
Published: February 2024

Abstract
Introduction
The relationship between metabolic syndrome and vestibular dysfunction has attracted significant attention; however, consensus regarding their association remains elusive. This study aims to comprehensively evaluate the relationship between metabolic syndrome and vestibular dysfunction through observational analysis of the NHANES database and Mendelian Randomization (MR) analysis.
Methods
Data from the NHANES database spanning 1999 to 2004 were utilized for observational analysis, alongside Mendelian Randomization (MR) methodology. NHANES data analysis was conducted using EmpowerStats 4.1, while MR analysis utilized publicly available Genome-Wide Association Studies (GWAS) data.
Results
Observational analysis of NHANES data revealed an association between metabolic syndrome and vestibular dysfunction in unadjusted models, which disappeared upon adjustment for various confounding factors. MR analysis results indicated no significant causal relationship between metabolic syndrome and vestibular dysfunction; however, low high-density lipoprotein cholesterol levels and hypertension were identified as potential risk factors for vestibular dysfunction.
Conclusion
The findings of this study suggest that there is no apparent association between metabolic syndrome and vestibular dysfunction. However, low high-density lipoprotein cholesterol levels and hypertension may serve as risk factors for vestibular dysfunction. This discovery contributes to the precision prevention and treatment of vestibular dysfunction, thereby enhancing the quality of life for affected individuals.
Arsenic modifies the effect of folic acid in spina bifida prevention, a large hospital-based case-control study in Bangladesh
Authors: Wei Chih-Fu , Mukherjee Sudipta Kumar , Ekramullah Sheikh Muhammad , Arman D. M. , Islam Md Joynul , Azim Mubinul , Rahman Asifur , Rahman Md Nafaur , Ziauddin Md. , Tindula Gwen , Suchanda Hafiza Sultana , Gomberg Diana F. , Weisskopf Marc G. , Liang Liming , Warf Benjamin C. , Christiani David C. , Mazumdar Maitreyi 
Published: February 2024

Abstract
Background
Spina bifida, a developmental malformation of the spinal cord, is associated with high rates of mortality and disability. Although folic acid-based preventive strategies have been successful in reducing rates of spina bifida, some areas continue to be at higher risk because of chemical exposures. Bangladesh has high arsenic exposures through contaminated drinking water and high rates of spina bifida.
Methods
We conducted a hospital-based case-control study at the National Institute of Neurosciences & Hospital (NINS&H) in Dhaka, Bangladesh, between December 2016 and December 2022. Cases were infants under age one year with spina bifida and further classified using data from observations by neurosurgeons and available imaging. Controls were drawn from children who presented to NINS&H or Dhaka Shishu Hospital (DSH) during the same study period. Mothers reported folic acid use during pregnancy, and we assessed folate status with serum assays. Arsenic exposure was estimated in drinking water using graphite furnace atomic absorption spectrophotometry (GF-AAS) and in toenails using inductively coupled plasma mass spectrometry (ICP-MS).
Results
We evaluated data from 294 cases of spina bifida and 163 controls. We did not find a main effect of mother’s arsenic exposure on spina bifida risk. However, in stratified analyses, folic acid use was associated with lower odds of spina bifida (adjusted odds ratio [OR]: 0.50, 95% confidence interval [CI]: 0.25-1.00, p = 0.05) among women with toenail arsenic concentrations below the median, and no association was seen among mothers with toenail arsenic concentrations higher than median (adjusted OR: 1.09, 95% CI: 0.52–2.29, p = 0.82).
Conclusions
Mother’s arsenic exposure modified the protective association of folic acid with spina bifida. Increased surveillance and additional preventive strategies, such as folic acid fortification and reduction of arsenic, are needed in areas of high arsenic exposure.
Biomorphological assessment of oat (Avena L.) species distributed in Azerbaijan
Authors: Guliyeva Gunel , Asgarov Aydin , Eldarov Mahammad 
Published: February 2024

Abstract

This article presents data on herbarium and seed materials, comprising 230 specimens that cover 72 routes of 10 species (A. eriantha Durieu, A. clauda Durieu, A. wiestii Steud., A. barbata Pott ex Link, A. hirtula Lag., A. bruhnsiana Grun., A. ventricosa Bal. ex Coss., A. trichophylla C. Koch, A. fatua L., A. ludoviciana Durieu) within the genus Avena L. These specimens were collected from various regions of Azerbaijan during the period of 2019–2023. The primary objective of this study was to investigate the taxonomic, morphological, and ecological-geographical characteristics of Oat species (Avena L.) distributed in Azerbaijan. Through an examination of biomorphological variability and ecological characterization, it was revealed that these 10 species are distributed across diverse regions of Azerbaijan, each adapting to different ecological conditions. These species are predominantly found in the Greater Caucasus, Lesser Caucasus, Kura-Araz, Nakhchivan, and Lankaran-Astara botanical-geographical regions. The distribution of these species is mainly observed along roadsides, crops, grasslands, and coastal sand dunes. The Oat (Avena L.) species distributed in Azerbaijan have been subjected to biomorphological evaluation, considering 29 quantitative and 16 qualitative characteristics. Geographical longitude, geographical latitude, altitude above sea level, in-situ plant conditions, and phytocenological characteristics of the growing area of the plant species are indicated. The cluster analysis of morphological characters revealed that the species within the genus could be classified into two main groups.
Seismic analysis and evaluation of safety and resilience of the lifeline networks during the earthquake sequence
Authors: tehrani Zhamak monazami , monazami ghazaleh , Dorostian Arezou , Akashe Bahram , Almasian Mahmoud 
Published: February 2024

Abstract
The vulnerability analysis of structure and infrastructure damages is an essential step to estimate the possible effects of an earthquake to decrease the loss of key system factors. This study was conducted aiming to shine light on seismic analysis and performance evaluation of lifeline networks during earthquake sequences with insight into resilience.
Probability Seismic Hazard Analysis (PSHA) was used to analyze seismic hazard; and EZ-Frisk application was used to analyze seismic hazard, spectral matching modeling, and site response. ZMAP software was used to detect and locate future earthquakes, considering local seismic tectonic conditions. To detect the resilience level of the lifeline networks, key point localization and geospatial mapping were performed using GIS software.
Maximum displacement in this study was estimated to be approximately 68 cm. The distribution of these values ​​resembles the acceleration of the earthquake. In the part concerning seismic studies, the location of future earthquakes for the next event was also proposed for two other areas. The highest level of sensitivity and vulnerability was located in the center and toward the northeastern part of the study area.
The results of this study suggested that a particular attention should be paid to vulnerable high-risk points and the demands should move towards safe structures and infrastructures in assigned areas.
N-(2-chloro-5-(3-(pyridin-4-yl)-1H-pyrazolo[3,4-b]pyridin-5-yl)pyridin-3-yl)-4-fluorobenzenesulfonamide (FD274): a potential novel PI3K inhibitor with low cardiotoxicity in mice
Authors: Wu Tianze , Gong Yimin , Lu Mingzhu , Chen Yi , Yang Chengbin , Yang Yannan , Xu Jun , Cai Tong , Ling Yun , Zhou Yaming 
Published: February 2024

Abstract

Considering the common occurrence of the adverse cardiovascular events caused by PI3K inhibitors in clinical trials, a comprehensive assessment of the cardiotoxicity of promising PI3K inhibitor candidates for their potential clinical translation is of great importance. Based on our previous studies of the 7-azaindazole-based PI3K inhibitors, in this work, we report a potential novel PI3K inhibitor, N-(2-chloro-5-(3-(pyridin-4-yl)-1H-pyrazolo[3,4-b]pyridin-5-yl)pyridin-3-yl)-4-fluorobenzenesulfonamide (FD274), with low cardiotoxicity in mice. FD274 exhibited minimal adverse effects in inducing cardiac dysfunction, oxidative stress and cardiac injury when compared to the positive control FD268, a bioisostere of FD274. Additionally, western blot analyses suggested that the minimal adverse effects of FD274 could be related to the preservation of the activity of the antioxidant pathway protein Nrf2. In contrast, the downregulation of Nrf2 as well as the upregulation of NADPH oxidase and the apoptosis-related proteins resulted in the cardiotoxicity of FD268. Finally, we confirmed the low cardiotoxicity of FD274 after the 20-day treatment process in the HL-60 xenograft mice model. Our results confirmed the low cardiotoxicity of FD274 which deserves further development.
Microstructure modulation realizing high performance of Pb-Ag alloys by controlled solidification temperature
Authors: Zhou Xinxin , Yu XiaoQiang , Jiang Cheng , Chen Buming , Huang Hui , Guo Jun , Gao Chao , Xu Ruidong , Guo Zhongcheng 
Published: February 2024

Abstract
The microstructure of the Pb-Ag alloy is vital to its mechanical, corrosion and electrochemical properties. In this paper, heat preservation mold is used to control the temperature of cast lead alloy, realizing the regulation of the microstructure of Pb-Ag alloy. The effects of the surface microstructure and the Ag distribution on the mechanical, corrosion-resistant and electrochemical properties of lead alloy are investigated. The results show that the heat preservation treatment effectively enhances the longitudinal tissue uniformity of the alloy, and optimizes the distribution of Ag in the alloy. The alloy shows the best comprehensive performance as the heat preservation temperature reaches 50 ℃ due to the uniform size of the metallographic structure and the most uniformly distributed Ag. The low-temperature heat preservation treatment (12 ℃) refines the middle and bottom grains of the alloy and enhances the mechanical properties of the alloy. However, the increased uniform grain size and Ag distribution at the longitudinal level of the alloy led to a decrease in the electrochemical properties and corrosion resistance.
GABA-containing product from Lactobacillus fermentum-fermented rice bran suppresses breast cancer cell migration
Authors: Ngo Dai-Hung , Nguyen Ha Nhu Mai , Tran Quoc Tuan , Hang Nguyen Thi Nhat , Ngo Dai-Nghiep , Vo Thanh Sang 
Published: February 2024

Abstract

Gamma-aminobutyric acid (GABA), a non-protein amino acid widely distributed in several natural products, has potential for the regulation of various cancers. In this study, the suppressive effect of GABA-containing product (GCP) fromLactobacillus fermentum-fermented rice bran on breast cancer cell development was investigated. MTT method was used for the cytotoxic test of GCP. Moreover, qPCR analysis was applied for evaluation of target gene expression, while flow cytometry assay was used for the investigation of apoptosis and cell cycle arrest. The results showed that GCP significantly suppressed the migration of MCF-7 cells at a non-cytotoxic concentration of 400 µg/mL. Moreover, GCP downregulated the gene and protein expression of matrix metalloproteinase-2 and − 9 in the cells. Notably, the treatment of GCP caused cell cycle arrest in the phase of G2/M and induced an early apoptotic process via upregulation of caspase-8, -9, and Bax expression. Accordingly, GCP can be suggested as a promising food ingredient for the management of breast cancer metastasis.
Delayed Hemothorax Following Blunt Thoracic Trauma: A Case Report
Authors: Álvarez-Ortega Astrid Carolina , Aranda-Hoyos Alcibíades , García-González Carlos Alejandro , Puyana Juan Carlos , Sánchez-Ortiz Álvaro Ignacio , Velásquez-Galvis Mauricio 
Published: February 2024

Abstract
Background: Late hemothorax is a rare complication of blunt chest trauma. The longest reported time interval between the traumatic event and the development of hemothorax is 44 days.
Case Presentation: An elderly patient with right-sided rib fractures from chest trauma, managed initially with closed thoracostomy, presented with a delayed hemothorax that occurred 62 days after initial management, necessitating conservative and then surgical intervention due to the patient's frail condition and subsequent complications.
Conclusions: This case emphasizes the clinical challenge and significance of delayed hemothorax in chest trauma, highlighting the need for vigilance and potential surgical correction in complex presentations, especially in the elderly
Connecting scientific literacy with culturally competent instruction: A mixed methods comparative case study analysis exploring teachers’ and high school students’ understanding of environmental pollution and Superfund sites
Authors: Joseph Shanelle 
Published: February 2024

Abstract
Superfund sites and other deleterious environmental conditions plague urban America and Black communities at disproportionate rates. While routes of exposure vary encompassing epigenetic factors; primary exposure; and lifestyle, most are marginalized or prevalent among minority populations living near Superfund sites and other origins of pollution. Deficient in scientific literacy, many affected persons are unable to comprehend the extent to which environmental pollution contributes to adverse health. This multiple methods comparative case study sought to: 1) introduce students and teachers to the concept of Superfund Sites; 2) encourage teachers to adjust curricula to address issues within one’s community and culture; and 3) expose students to a culturally competent curriculum that promotes environmental awareness and self-advocacy. Theoretically framed by culturally compelling instruction and place-based science teaching and learning perspectives, this study collected pre- and post-implementation data on students’ understanding of environmental pollution and the consequence of such exposure to human health. Interviews with teachers were conducted to understand their perspectives on culturally competent science curricula and in what ways, if any, they incorporate environmental justice into their instruction.
Integrated Analysis of Bulk transcriptomics and Single-Cell RNA Sequencing Data identifies Glycolysis-Related Prognostic Gene signature of sepsis
Authors: Zhang Wenxiao , Liu Zhiqi , Zheng Shuaige , Liu Shihao , Ren Shengyong , Wang Wenjie , Shao Huanzhang , Qin Bingyu 
Published: February 2024

Abstract
Background
It has been widely recognized that the perturbation of the immune system induced by sepsis underlies the pathophysiology of sepsis and determines the patient’s prognosis. Failure of previous studies targeting one single marker highlighted the complexity and heterogeneity of immunopathology in sepsis. This study aimed to develop a glycolysis-related gene model able to predict sepsis prognosis.
Methods
Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression were applied to establish a glycolysis-related risk model. Kaplan-Meier analysis was performed to test the model’s prognostic value, which also was verified in the other cohort. Single-cell RNA-sequencing (scRNA-seq) data were downloaded from Gene Expression Omnibus (GEO) to further explore the cell origin of glycolysis-related signature genes, and Seurat was used for data quality control and analysis. Cell abundances were validated via bulk-gene-expression deconvolution.
Results
In patients with sepsis, fourteen glycolysis-related genes associated with 28-day survival were finally identified and fitted into a prognostic model. Kaplan-Meier analysis showed that, whether in the training or validation cohort, the mortality of the High-Score group identified by this model was significantly higher than that of the Low-Score group (P values were 1.578e-7 and 4.572e-4 respectively). Enrichment analysis based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) suggested that the High-Score group was mainly enriched in neutrophil activation, neutrophil degranulation, and neutrophil-mediated immunity as well as ferroptosis, while negative regulation of monocyte activation and interferon-gamma production and was downregulated. Protein-protein interaction (PPI) analysis demonstrated that Fructose-1,6-Bisphosphatase 1 (FBP1) might play an essential role in the hub gene network. ScRNA-seq analysis showed that majority of these signature genes were expressed in myeloid cells. Monocytes in survived septic patients had much higher FBP1 expression, which was also verified by bulk-gene-expression deconvolution.
Conclusions
The constructed glycolysis-related prognostic gene signature could effectively predict the 28-day mortality of septic patients. High expression of FBP1 in monocytes may play a protective effect on patients with sepsis, which deserves further research and analysis.