bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Sociodemographic Factors and Health Beliefs Related to Breast Cancer Screening Behavior Among Northern Thai Women: A Hospital-Based Study
Authors: Jiraniramai Surin , Pinyopornpanish Kanokporn , Wongpakaran Nahathai , Angkurawaranon Chaisiri , Champion Victoria L. , Chitapanarux Imjai , Jiraporncharoen Wichuda , Wongpakaran Tinakon 
Published: October 2023

Abstract
Background
Early diagnosis of breast cancer is crucial for reducing mortality rates. The purpose of this study is to determine the impact of demographics/social determinants of health on beliefs about the practice of self-breast examination, using mammogram and ultrasound in the context of breast cancer screening among Thai women in a hospital-based setting for implying program planning and future research.
Methods
A cross-sectional study was conducted in two health centers in Chiang Mai Province from August 2021 to December 2021, involving 130 Thai women ages 40 to 70 years. Data were collected by a survey using a questionnaire to gather sociodemographic information, and health beliefs about breast cancer and screening behavior utilizing the modified Thai version of Champion's Health Belief Model Scale (MT-CHBMS). Descriptive statistics, t-tests, ANOVA, and linear regression models were employed for examining association between sociodemographic factors and health beliefs about the practice of self-breast examination (BSE), using mammogram (MG) and ultrasound (UTS).
Results
Health insurance schemes were associated with Benefit-MG, Barrier-BSE, Barrier-MG and Barrier-UTS subscales. Additionally, monthly income was associated with Barrier-MG and Barrier-UTS subscales. The most common barriers reported were “embarrassment”, “worry”, and “takes too much time”.
Conclusion
To enhance breast cancer screening in Thailand, program planning and future research should focus on health insurance schemes, especially women with social security schemes, as they may be the most appropriate target group for intervention.
Efficiency of transcription and translation of cell-free protein synthesis systems in cell-sized lipid vesicles with changed lipids
Authors: Miwa Akari , Wakamori Masatoshi , Ariyoshi Tetsuro , Okada Yasushi , Shirouzu Mikako , Umehara Takashi , Kamiya Koki 
Published: October 2023

Abstract
To develop artificial cell models that mimic living cells, cell-sized lipid vesicles encapsulating cell-free protein synthesis (CFPS) systems are useful for translation and regulation or artificial gene circuits for vesicle–vesicle communications. Therefore, investigating the transcriptional and translational properties of CFPS systems in lipid vesicles is important for maximizing the synthesis and functions of proteins. Although transcription and translation using CFPS systems inside lipid vesicles are more important than that outside lipid vesicles, the former processes are not investigated by changing the lipid composition of lipid vesicles. Herein, we investigated changes in transcription and translation using CFPS systems inside giant lipid vesicles (approximately 5–20 µm in diameter) caused by changing the lipid composition of lipid vesicles containing neutral, positively, and negatively charged lipids. After incubation for 30 min, 1, 2, and 4 h, the fluorescence intensities of fluorogenic RNA aptamer on the 3’-UTR of mRNA (transcription) or fluorescent protein sfCherry (translation) in the three types of lipid vesicles were observed by changing plasmid DNA concentration. Thus, the present study provides an experimental basis for constructing complex artificial cell models using bottom-up approaches.
Use of a deep learning application to classify recommendations made by hospital pharmacists during medication prescription review
Authors: Alkanj Ahmad , Godet Julien , Johns Erin , Gourieux Bénédicte , Michel Bruno 
Published: October 2023

Abstract

Background Recommendations are proposals made by hospital pharmacists to address the sub-optimal use of medications during prescription review.
Objective To perform a large-scale descriptive analysis of recommendations formulated during prescription review using a deep neural network classifier in a hospital Setting This retrospective study was conducted at the University Hospital of Strasbourg. Main outcome measures Recommendations were automatically classified according to the coding of the French Society of Clinical Pharmacy.
Method Data from 2018 to 2020 were collected from prescription support software.
Results 2,930,656 prescription lines were analysed for a total of 119,689 patients. Among these prescription lines, 153,335 resulted in recommendations (n = 48,202 patients). Recommendations were predominantly observed in patients aged 65 years or older (n=26,141 patients) and in patients taking 5 or more medications (44,702). The most frequently identified types of Drug-related problems associated with recommendations were “Non conformity to guidelines or contra-indication” (n =88,523; 57.7%), “Overdosage” (16,975; 11.1%) and “Improper administration” (13, 898; 9.1%). The most frequently encountered drugs were: Paracetamol (n= 10,585; 6.9%), Esomeprazole (6,031; 3.9%), Hydrochlorothiazide (2,951; 1.9%), Enoxaparin (2,191; 1.4%), Tramadol (1,879; 1.2%), Calcium (2, 073; 1.3%), Perindopril (1,950; 1.2%), Amlodipine (1,716; 1.1%), Simvastatin (1,560; 1.0%) and Insulin (1,019; 0.7%).
Conclusion The deep neural network classifier used met the challenge of automatically classifying recommendations from a large database without mobilizing significant human resources. The use of such a classifier can lead to alerting caregivers about certain risky attitudes in prescription and administration, and triggering actions to improve practices.
Influence of sub-urban highway underpasses on animals in Chongming Island, Shanghai
Authors: Gan Yingshan , Qu Zedong , Wang Peng , Nie Dayi , Chen Min 
Published: October 2023

Abstract
Building wildlife corridors is thought to be a useful strategy for reducing the negative effects of road construction. However, the wildlife corridors currently built are mainly set up for medium-sized or large wild mammals in the wilderness, while there are relatively few constructions for small animal corridors in urban areas. In this study, we assessed the use of two underpasses on the Beiyan Highway of Chongming Island, Shanghai. We recorded 27 species of animals in a total of 385 events, and 8 species successfully passed through the underpasses. The most frequent animal species recorded in the two corridors were weasels and white-breasted waterhens respectively, followed by both rodents. Overall, mammals and aves frequented the underpasses the most, and their time spent there matched their routines. Our study suggests that local wildlife has successfully used the two underpasses in a variety of ways, but longer-term monitoring is still required.
Prognostic model construction of disulfidptosis-associated genes in brain glioma and their relevance in immune checkpoints
Authors: Shen Jing , Xu Hua , Wang Peng 
Published: October 2023

Abstract
Background: Disulfidptosis is a novel form of programmed cell death (PCD) triggered by disulfide stress and is implicated to have a potential role in various cancers. Although the role of disulfidptosis has been assessed in various cancers, its role in Glioma (GBMLGG) prognosis and immunotherapy response remains unexplored.
Results: A prognostic analysis of 15 disulfidptosis-associated genes in a pan-cancer dataset revealed significant differences in their prognostic performance in several cancer types. An analysis of GBMLGG revealed that the prognosis of GBMLGG predicted by the 15 disulfidptosis-associated genes had grouped without any clusters, and the difference in the prognosis among the subgroups was highly significant. Subsequently, seven target genes were identified using 10 machine learning algorithms including 101 algorithm combinations, and their prognostic prediction was validated by constructing receiver operating characteristic curves and conducting Kaplan-Meier (KM) analyses, which showed very satisfactory results. The complete predictive nomogram was then constructed. Furthermore, we analyzed the correlation between the target genes and immune cells, tumor mutational burden, and immune checkpoints, and the results showed that 13 cell lines and 19 immune checkpoint–associated genes were significantly correlated with the target genes. These results were also verified through single-cell analysis.
Conclusions: An in-depth analysis of GBMLGG confirmed the strong correlation between the target genes of disulfidptosis-associated cell death and GBMLGG prognosis in multiple ways. The prognostic predictive nomogram was constructed using powerful machine learning algorithms to screen for the final target genes, which demonstrated excellent results when tested using several datasets.
Trial registration: Not applicable
Multilevel Feature Extraction Model for Lung Vessel Segmentation in CT Images with an Emphasis on Small Vessel
Authors: Liao Shenghui , 彭 柴扬 , Tang Yimin , Ni Ming , Liu Lihong , Kui Xiaoyan 
Published: October 2023

Abstract
Lung vessel segmentation is essential for diagnosing and treating lung diseases. Most existing research relies on direct image segmentation, making it challenging to accurately segment small vessels in lung CT images. Hence, we introduced a multilevel feature extraction model for lung vessel segmentation in CT images. We extract the structural features of lung CT images as prior information to enhance segmentation accuracy, combining convolutional, MLP, and Transformer techniques to extract features at different image levels. We also refined the attention mechanism to reallocate computational resources to target regions. Additionally, we adjusted the loss function, dynamically setting the loss weight based on the size of the segmented target in the label, enhancing the segmentation precision of small vessels. Compared to current mainstream methods, our model's modules significantly contribute to the segmentation results, particularly for small vessels, with metrics improving by over 2%. It also excels in other medical image segmentation tasks.
The interaction between Xanthan Gum and Bovine Serum Albumin was studied by Multispectral Method and Molecular Docking Simulation
Authors: sun jisheng , wang xiaoxia , nie zhihua , ma litong , sai huazheng , cheng jianguo , liu yunying , duan jianguo 
Published: October 2023

Abstract

Xanthan gum (XG) is a kind of biological macromolecular drug, which is widely used in the field of biomedicine. Bovine serum albumin is very similar to human serum albumin, and it is easy to extract and cheap, so it is often used to study the interaction with drugs. However, due to the structural complexity of xanthan gum, the interaction of xanthan gum with bovine serum albumin (BSA) and its effects on its secondary structure and mechanism are less studied.In this paper, a variety of spectroscopy and molecular docking will be used to systematically study the interaction mechanism of XG and BSA. On this basis, the interaction and quenching mode between XG and BSA were determined. The intrinsic fluorescence which can effectively quench BSA is obtained by fluorescence spectrum analysis, and the dynamic quenching rate at different temperatures is much higher than the maximum diffusion collision quenching constant, so it can be known that XG interacts with BSA. The quenching constant is solved by Stern-Volmer equation. When the temperature is different, With the increase of temperature, the quenching constant of XG and BSA system decreases, so it can be judged that the quenching method of XG on BSA is static quenching. According to the Vant's Hoff equation, the thermodynamic parameters Δ H < 0 and Δ S < 0 between XG and BSA are mainly hydrogen bond and van der Waals force. If Δ G < 0 and Δ H < 0, it is proved that the quenching process of XG and BSA is spontaneous and exothermic. The molecular docking simulation results show that hydrogen bond and van der Waals force are the main forces between XG and BSA, which is consistent with thermodynamic results, indicating that XG changes the secondary structure of BSA.Through the multi-spectral analysis, it is known that due to the influence of the microenvironment, the polarity and hydrophilicity of XG and BSA are enhanced, and the hydrophobicity is weakened, resulting in changes in the secondary structure of BSA. In the binding distance between XG and BSA, there is an overlap between the fluorescence emission spectrum of BSA and the UV-vis absorption spectrum of XG, which proves that there is energy transfer between BSA and XG, and then the overlap integral is calculated that r is significantly smaller than 7nm, this indicates that there is non-radiative energy transfer between XG and BSA. The results of circular dichroism spectra show that BSA is mainly β-fold. indicating that XG interacts with BSA, and some proteins are loosened, resulting in the decrease of α-Helix structure and the increase of β-sheet structure, which further proves that the secondary structure of BSA has changed. Through the study of the interaction between XG and BSA, the interaction mechanism of both is analyzed by spectroscopy and molecular docking simulation technology, which provides data support for their future discussion and research.
Detection of genes mutations in cerebrospinal fluid circulating tumor DNA from central nervous system lymphomas patients using next generation sequencing
Authors: Fu Haiyin , Wang TaiQin , Yang Yong , Qiu Chenxi , Wang He , Qiu Yanyan , Liu Jianzhi , Liu Tingbo 
Published: October 2023

Abstract
Purpose
To evaluate the potential clinical value of cerebrospinal fluid (CSF) circulating tumor DNA (ctDNA) in the diagnosis and monitors the central nervous system (CNS) lymphomas.
Methods
This was a prospective study of 17 consecutive patients with B-cell lymphoma: 10 patients with CNS lymphomas and 7 patients with B-cell lymphomas at high clinical risk of CNS relapse. Genomic profiles were performed on the CSF and plasma samples of patients by next generation sequencing (NGS).
Results
In patients with CNS lymphomas, ctDNA was detected in 70.0% of CSF and 60.0% of plasma. The detection rate and gene mutation abundance of cerebrospinal fluid were higher than plasma (P=0.016). CSF had a unique genetic profile. Furthermore, we newly found that gene mutations consistent with plasma or lymphoma-related were also detected in the CSF of the high-risk group without CNS involvement. Analysis of paired plasma and CSF samples from three patients at different time points, changes of CSF ctDNA abundance occurred at the same time or earlier than clinical disease changes, which could timely monitor the therapeutic response and relapse trend.
Conclusions
The detection rate of ctDNA in CSF is higher than that in plasma. The dynamic monitoring of ctDNA in CSF has hint significance for therapeutic response of CNS lymphoma patients.
Bioinformatics analysis of differentially expressed genes and pathways in the development of Juvenile- Onset Recurrent Respiratory Papillomatosis
Authors: Nuerbolati Meili , Qukuerhan Ayiheng 
Published: October 2023

Abstract
Background. Juvenile-Onset Recurrent Respiratory Papillomatosis (JORRP) is the most common form of benign respiratory tract tumor in children that characterized by high recurrence and aggressiveness. The purpose of this study was to screen the key genes and pathways of JORRP by biological information analysis and to investigate the molecular mechanisms of JORRP progression.
Methods. RNA sequencing (RNA-seq) was used to identify differentially expressed genes (DEGs) in three JORRP tissues and two adjacent non-tumor tissues, which were first analyzed for gene ontology (GO) and Kyoto Gene and Genome Encyclopedia (KEGG) pathway enrichment.The protein-protein interaction (PPI) network of these DEGs was next constructed with STRING and visualized with Cytoscape software. The central genes were subsequently screened using CytoHubba, a plug-in in Cytoscape software, and finally evaluated using gene function enrichment analysis.
Results. A total of 1795 DEGs were screened, including 876 up-regulated genes and 919 down-regulated genes. The up-regulated DEGs were mainly enriched in cornification, cell cycle, steroid biosynthesis and HIF-1 signaling pathway, and the down-regulated DEGs were associated with cilium movement, cell projection organization, metabolism of xenobiotics by cytochrome P450 and chemical carcinogenesis. VEGFA, CDH1, CDK1, IL1B, KIF11, HIF1A, ASPM, AURKA, CENPE, MKI67 were identified as hub genes from the PPI network, and these genes were mainly associated with spindle organization, cancers-related pathways, Th17 cell differentiation and HIF-1 signaling pathway.
Conclusion. The key genes and pathways screened in this study may play a pivotal role in the development of JORRP and provide a scientific basis for future related studies.
Analysis of urban water dissipation characteristics considering anthropogenic impacts: a case study in Beijing
Authors: Liu Chuang , Liu Jiahong , Ding Xiangyi , Shao Weiwei , Su Xin 
Published: October 2023

Abstract

Urban water dissipation is a significant part of the urban hydrologic cycle and has a typical natural–social dualistic attribute. Besides natural evaporation, the water dissipation in people's daily life and production process cannot be ignored. This study developed an urban water dissipation model based on different land uses and applied it in urban-built areas in Beijing. The results showed that the water dissipation of buildings and green spaces occupied the dominant position, and the water dissipation intensity of each district exceeded 500 mm, among which the six core districts were 700–1,100 mm. Comparing the water dissipation contribution rate and area rate of each underlying surface, it showed that the water dissipation intensity from strong to weak was building, water surface, green spaces, and hardened ground. According to the dualistic analysis of urban water dissipation, the contribution rates of social water dissipation in the six core districts were 45.3–69.1%, which was higher than the 17.8–36.1% of other suburbs obviously. This study reflected that the higher the degree of regional urbanization, the greater the water dissipation intensity, and artificial water dissipation was the main influencing factor.
Statistics as an Instrument of Ideological Confrontation
Authors: Davletshina L. A. , Karmanov M. V. 
Published: October 2023

The relevance of the study lies in the fact that only with a competent comprehensive assessment of quantitative parameters, their qualitative interpretation is possible. Statistics acts as such a tool.The purpose of the study. The purpose of this paper is to study opinions and approaches in the use of statistics as a tool for assessing phenomena and processes.Materials and methods. In the course of the study, the main directions of statistics as a tool for working with data were studied. The most common and practically justified is the use of statistics as a tool of cognition, management, propaganda and control. The result of the interpretation of statistical data primarily depends on the degree of objectivity and the level of literacy of those who work with the data: both at the initial stage of the formation of the initial data set, and at the stage of explaining the resulting values.Results. It is revealed that the same parameters (proportions) can be interpreted in completely different ways. Such differences are formed both from the subjectivity of the perception of these data, and from the degree of study of the material. As a result, there is a field for discrepancies and discussion.Conclusion. In order to obtain a qualitative analysis and interpretation of phenomena and processes, serious knowledge is needed, backed up by a substantial study of the subject area – only in this case statistical data can become a “mirror” reflecting the realities.
BRD4 Protein as a Target for Lung Cancer and Hematological Cancer
Therapy: A Review
Authors: Zhang Mengmeng , Li Yingbo , Zhang Zilong , Zhang Xin , Wang Wei , Song Xiaomei , Zhang Dongdong 
Published: October 2023

Abstract:
The BET protein family plays a crucial role in regulating the epigenetic landscape of
the genome. Their role in regulating tumor-related gene expression and its impact on the survival
of tumor cells is widely acknowledged. Among the BET family constituents, BRD4 is a significant
protein. It is a bromodomain-containing protein located at the outer terminal that recognizes
histones that have undergone acetylation. It is present in the promoter or enhancer region of the target
gene and is responsible for initiating and sustaining the expression of genes associated with tumorigenesis.
BRD4 expression is significantly elevated in various tumor types. Research has indicated
that BRD4 plays a significant role in regulating various transcription factors and chromatin
modification, as well as in repairing DNA damage and preserving telomere function, ultimately
contributing to the survival of cancerous cells. The protein BRD4 has a significant impact on antitumor
therapy, particularly in the management of lung cancer and hematological malignancies,
and the promising potential of BRD4 inhibitors in the realm of cancer prevention and treatment is
a topic of great interest. Therefore, BRD4 is considered a promising candidate for prophylaxis and
therapy of neoplastic diseases. However, further research is required to fully comprehend the significance
and indispensability of BRD4 in cancer and its potential as a therapeutic target.
Multifaceted Understandings of Cancer: A Review of Disease Mechanisms and Therapies
Authors: Pal Rashmi Saxena , Pal Yogendra , Chaitanya Motamarri Venkata Naga Lalitha , Babu Ravindra , Mazumder Rupa , Kumar Arvind 
Published: October 2023

Abstract:
Cancer is a condition in which aberrant cells continue to divide uncontrollably, causing
tissue to be destroyed. Different cancer stages have been identified by researchers, suggesting that a
number of gene alterations are involved in the etiology of cancer. Unusual cell proliferation is
brought on by these gene alterations. A crucial role in the acceleration of cell proliferation is played
by genetic diseases brought on by heredity or hereditary factors. Its diagnosis and treatment have historically
been regarded as two of the most important and significant clinical concerns. Depending on
the nature and stage of the tumor, numerous ways to its corrective therapy have been established.
Numerous biomolecules derived from plants are crucial for the treatment of the disease. In this review,
we focus on specific aspects to give a brief overview of the major problems, including their
etiology, therapies that are available, herbal alternates, available vaccines and relevant biomarkers. It
was felt that much work needs to be done on combination therapy development and platform optimization.