bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imbalance of vaginal microbiota and immunity: two main accomplices of cervical cancer
Authors: Li Xiaoge , Wu Jin , Wu Yutong , Duan Zhaoning , Luo Ming , Li Ling , Li Sijing , Jia Ying 
Published: December 2022

Abstract
Objective: To explore the relationship between female vaginal microbiota and immune factors and its correlation with cervical cancer.
Methods: Here, we assessed the distribution patterns of microbiota in four groups of women from cervical cancer, HPV positive CIN, HPV positive non-CIN and HPV negative women. Microbial 16S rDNA sequencing and Protein chip were used to detect the composition and changes of vaginal microbiota and immune factors in the four groups, respectively.
Results: Alpha diversity analysis showed that the diversity of the vaginal microbiota increased with disease. OTUs analysis showed that the level of vaginal flora genus was dominated by Lactobacillus, Prevotella and Gardnerella in these four groups. LEfSe analysis showed that compared with the HPV negative group, the differentially dominant bacteria included Prevotella, Ralstonia and Gardnerella in the cervical cancer group, Gardnerella, Prevotella and Sneathia in the HPV positive CIN group and Gardnerella and Prevotella in the HPV positive non-CIN group, respectively. Lactobacillus and Atopobium were predominant in the HPV negative group (LDA>4log10). Compared with other groups, the abundance of Lactobacillusdecreased, the abundance of Prevotella and Gardnerellaincreased, and the contents of immune inflammatory factors IP-10 and VEGF-A increased in the cervical cancer group (P < 0.05).
Conclusions: The occurrence of cervical cancer is related to the change of vaginal microbiota and body immune status. Cervical cancer patients have increased vaginal microbiota diversity and increased immune inflammatory factors, which creates a favorable inflammatory environment for the occurrence of cancer. Therefore, it is of great significance to adjust and restore the balance of vaginal microbiota and maintain normal immune function in the prevention and treatment of cervical cancer.
This trial was registered at the Chinese Clinical Trial Registry (www.chictr.org.cn) (trial registration number ChiCTR2200060479,First registration time: 03 / 06 / 2022).
Hydroxychloroquine impairs mTORC1-dependent cholesterol biosynthesis and sensitizes retinal pigment epithelial cells to UV-induced cell death.
Authors: Wicks Ian , Kim Man Lyang , De Souza David , Narayana Vinod , Nguyen Nghi , Sleebs Brad 
Published: December 2022

Abstract

Hydroxychloroquine (HCQ) is a widely used and effective immunomodulatory drug. HCQ can cause dose-related retinal damage, thought to be due to inhibitory effects on lysosomes and autophagy. Using a human retinal pigment epithelial cell line (ARPE-19 cells), we confirm HCQ's inhibitory effect on autophagy and report that it inhibits mTORC1-mediated cholesterol biosynthesis. Cellular cholesterol content regulates lysosomal membrane permeability and thereby influences sensitivity to cell death. Cellular cholesterol insufficiency renders ARPE-19 cells more susceptible to a critical environmental threat, namely UV-induced cell death. We also show that HCQ induces apoptosis-independent disruption of phospholipid asymmetry, whereby caspase-independent phosphatidylserine (PS) exposure is mediated by cytosolic cathepsin B. HCQ-induced, caspase-independent PS exposure was inhibitable by the neutral pH-selective cathepsin B inhibitor Z-Arg-Lys-AOMK and was amplified by cholesterol lowering (simvastatin) and depleting (methyl-beta cyclodextrin) agents. We therefore conclude that HCQ also induces the release of lysosomal cathepsin B into the cytosol in response to lysosomal membrane permeability caused by cellular cholesterol insufficiency. We suggest that restricting UV exposure and avoiding cholesterol-lowering agents in combination with long term administration of HCQ might offer preventative strategies to protect against HCQ-induced retinal degeneration. We also provide evidence that neutral pH-selective cathepsin B inhibitors could represent a novel approach to treatment. Our findings may have broader implications for the prevention of retinal cell death and preservation of vision.
Association between dietary factors and breast cancer risk: A matched case-control study in Ho Chi Minh City, Vietnam
Authors: Nguyen Hien , Phung An , Nguyen Le , Nguyen Quynh , Tran Thach , Nguyen Tuan , Ho-Pham Lan 
Published: December 2022

Abstract
Background
The role of diet in breast cancer prevention is controversial. This study aimed to investigate the association between different dietary factors and breast cancer risk in Vietnamese women.
Methods
370 newly histologically confirmed breast cancer cases and 370 controls matched by 5-year age from September 2019 to March 2020 in Ho Chi Minh City were recorded dietary intake using a validated food frequency questionnaire. Odds ratios (OR) and 95% confidence intervals (95% CI) were evaluated using conditional logistic regression and adjusted with potential confounders.
Results
Compared to the lowest quartile of intake, we found that the highest intake of vegetables, fruit, soybean products, coffee, and egg significantly decreased breast cancer risk, including dark green vegetables (OR 0.46, 95% CI 0.27-0.78, ptrend=0.022), legumes (OR 0.2, 95% CI 0.08-0.47, ptrend <0.001), starchy vegetables (OR 0.37, 95% CI 0.21-0.66, ptrend=0.003), other vegetables (OR 0.47, 95% CI 0.28-0.78, ptrend=0.106), fruits (OR 0.43, 95% CI 0.25-0.74, ptrend <0.001), soybean product (OR 0.45, 95% CI 0.23-0.85, ptrend=0.311), coffee (OR 0.47, 95% CI 0.23-0.95, ptrend=0.004), and egg (OR 0.4, 95% CI 0.23-0.71, ptrend=0.002).
Conclusion
Greater consumption of vegetables, fruit, soybean products, coffee, and egg is associated with a lower risk of breast cancer. This study provides evidence of breast cancer prevention by increasing the intake of these dietary groups.
The Relationship between Stratospheric Gravity Wave Potential Energy and Tropospheric Parameters over South America inferred from COSMIC-2 and METOP Radio Occultation Measurements
Authors: Ayorinde Toyese Tunde , Wrasse Cristiano Max , Takahashi Hisao , Barros Diego da Silva , Figueiredo Cosme Alexandre Oliveira Barros , Lomotey Solomon Otoo , Essien Patrick , Bilibio Anderson Vestena 
Published: December 2022

Abstract
Using COSMIC-2 and METOP radio occultation measurements during the years 2020 and 2021, the study presents the first direct and independent relationship between the potential energy (Ep) in the stratosphere, precipitable water vapour (PWV), tropopause heights, and cold-point heights over South America. The South American continent comprises the tropical region, the Andes Mountain range, and the mid-latitude climates. The seasonal mean of the potential energy (Ep), the PWV, and the tropopause parameters height (TPH and CPH) were obtained to investigate the relationship between the SGW Ep and the tropospheric parameters (PWV, TPH, and CPH). Around the Andes Mountains to the east, there is significantly less water vapour (PWV < 10 mm) and relatively high gravity wave Ep (Ep > 8 kJ kg− 1). A good correlation of variability was found between the PWV and the lower stratospheric gravity wave (SGW) Ep in summer over the tropical region (± 20◦). Our result affirmed the possibility that convective activity was a major driver of the tropical gravity waves over South America. In the subtropical (30◦-40◦) region, especially in the winter, the tropospheric parameters make little or no contribution to gravity wave activity in the region. The tropopause and the cold-point temperature showed an anti-correlation (r > − 0.6) with SGW over the South American tropics. The SGW activities in the tropical region showed an impact on the structure of the tropopause parameters, which could be a result of the convective activity in this region.
VEGFA may be a potential marker of myopic choroidal thickness and vascular density changes
Authors: Wan Ting , Shi Wenqing , Liang Rongbin , Li Tao , Li Bing , Zhou Xiaodong 
Published: December 2022

Abstract

Introduction:To evaluate the changes of choroidal thickness（CT） and blood flow related to myopia, and its effects of vascular endothelial growth factor (VEGFA) on choroidal vessels in myopia.Methods:137 subjects were included and divided into emmetropia (EM), non-high myopia (Non-HM) and high myopia (HM) groups. we measured choroidal thickness (CT), choriocapillaris vessel density (VD), and VEGFA content in tears in humans and detected the role of VEGFA in the choroid in form-deprivation myopia (FDM) in guinea pigs. Twenty-four guinea pigs were divided into control and Form deprivation myopia (FDM) groups, and the expression changes of choroidal vessels and VEGFA were observed and compared using immunohistochemistry and Western blotting. Twenty-one guinea pigs were divided into control, FDM+Vehicle and FDM+Conbercept groups. The changes of diopter, axis length and choroidal vessels after intravitreal injection of Conbercept were observed.Results:There were significant differences in CT and VD among the three groups (p<0.05). The expression of VEGFA in tears of myopic group decreased significantly, presenting EM< Non-HM <HM group. Compared with the control group, the area fraction of choroidal vessels in the FDM group decreased. we observed a reduction in choroidal vasculature in FDM guinea pigs along with significant downregulation of choroidal VEGFA expression. After intravitreal injection of Conbercept into FDM guinea pigs, the FDM + conbercept group had a greater degree of myopia, longer axial length and less vascular density in the choroid than the control group.Conclusions:we found thinner CT, less choriocapillaris VD, and lower VEGFA content in tears in the myopic group than in the emmetropia group in humans. After intravitreal injection of Conbercept, FDM + conbercept group had a greater degree of myopia, longer axial length and less vascular density in the choroid than the control group. VEGFA may participate in the regulation of choroidal blood vessels and blood flow in myopia. VEGFA may be a potential target for controlling myopia.
Novel application of succus entericus reinfusion after enterostomy：a case report
Authors: Hou Yabo , Wang Xinxin , Ma Bingqiang , Zhang Lihua , Yang Xiaojun 
Published: December 2022

Abstract
Intestinal fluid reinfusion combined with enteral nutrition can significantly improve the nutritional status of patients with severe enterostomy and accelerate their recovery. There are many disadvantages in traditional intestinal fluid infusion. This manuscripts reports a case of nutritional support after enterostomy with a modified intestinal fluid reinfusion device.
Diagnosis of Covid 19 disease using CT scan images and pre-trained models
Authors: Amouzegar Faezeh , Mirvaziri Hamid , Ghazizadeh-Ahsaee Mostafa , Shariatzadeh Mahdi 
Published: December 2022

Abstract
Diagnosis of Covid-19 disease is a necessity for its prevention and control. The use of deep learning methods has been considered a fast and accurate method. In this paper, by combining three well-known pre-trained networks in parallel, an attempt was made to distinguish coronavirus-infected samples from healthy samples. Negative log-likelihood loss function has been used for model training. CT scan images in the SARS-CoV-2 dataset were used for diagnosis. The SARS-CoV-2 dataset contains 2482 images of lung CT scans, of which 1252 images belong to Covid-19 infected samples. The proposed model was able to be about 97% accurate.
Development and Validation of a Nomogram for Post-operative Atrial Fibrillation in Off-Pump Coronary Artery Bypass Grafting
Authors: Zheng Yihan , Zhou Min , Lin Yiting , Zhang Guican 
Published: December 2022

Abstract
Background
The nomogram of post-operative atrial fibrillation (POAF) in off-pump coronary artery bypass grafting (OPCAB) was not established. We analyzed the incidence and individualized risk factors of POAF in participants following OPCAB and developed a prognostic nomogram for clinical practice.
Methods
Participants (n = 456) were randomly divided into training cohort (70%, n = 319) and validation cohort (30%, n = 137), and univariate and multivariate logistic regression were used to analyze the independent risk factors. In addition, we plotted DCA and CIC curves to compared with C2HEST, C2HEST, CHADS2 and CHADS2-VASc models and evaluated the clinical usefulness.
Results
Multivariable logistic regression analysis revealed that age, diabetes, hypertension, previous PCI, and intraoperative potassium were associated with POAF. Additionally, we developed nomogram with these predictors. Calibration curves calculated C-index in both training and validation cohort (0.809 and 0.886, respectively). DCA and CIC curves supported that the nomogram was superior to C2HEST, C2HEST, CHADS2 and CHADS2-VASc models and had effective clinical practice.
Conclusions
Age, diabetes, hypertension, previous PCI, and intraoperative potassium were associated with POAF. A nomogram was developed and validated to predict POAF in patients following OPCAB and provide accurate and individualized predictions.
Modeling time to stop trachoma MDA in persistent districts of Ethiopia (Comparison of cox proportional hazard regression and machine learning models)
Authors: Tefera Amsayaw , Tadesse Fentahun , Seife Fikre , Mamuye Natnael 
Published: December 2022

Abstract
Background
Trachoma is a serious health problem in the world's poorest countries, such as Ethiopia. The WHO aims to eliminate trachoma by 2030 through implementation of annual mass drug administration and other strategies. With almost eight years left, is Ethiopia on track to reach the goal? This research article attempts to model the time to stop MDA in one of the nations with the highest prevalence oftrachoma in the world.
Objectives
Evaluation of predictive analytic models (Cox proportional-hazards model and the random survival forest) to model the time to stop trachoma mass drug administration in persistence districts of Ethiopia and identify factors that accelerate or decelerate time to stop trachoma mass drug administration
Materials and Methods
We propose survival and machine learning models to predict the time needed to stop trachoma MDA in Ethiopia using secondary data from the Tropical Data Platform and the Trachoma Elimination Monitor Form. The impact of average mass drug administration coverage, improved latrine coverage, access to improved water, delay in MDA intervention, TF prevalence in thefirst Trachoma Impact Survey (TIS1),and MDA omission were also assessed.
Results
The result shows that the probability of districts reaching the 5% threshold varies by region, and there are also discrepancies between districts that have delayed MDA and those that have not. We also note the significant effects of MDA coverage, latrine coverage, access to water supply, initial TIS score, and MDAomission on current TF score. Ourmodel also predicts that under the existing scenarios, there are districts that will not meet the 2030 goal of eliminating trachoma.
Conclusions
In order to stop trachoma MDA or eliminate the infection efficiently and effectively, it is crucial to identify the appropriate efficacy of drug, quality of MDA coverage, frequency, timing and number of rounds of MDA. Additionally, increase environmental and hygienic conditions may accelerate progress towards 2030 goals.
A Novel Approach to Translate Structural Aggregation Queries to MapReduce Code
Authors: Abdelmoniem Ahmed , Atwa Walid , Abdulah Sameh 
Published: December 2022

Abstract
Data management applications are rapidly growing applications that require more attention, especially in the big data era. Thus, it is critical to support these applications with novel and efficient algorithms that satisfy higher performance. Array database management systems are one way to support these applications by dealing with data represented in n-dimensional data structures. For instance, software like SciDB and RasDaMan can be powerful tools to achieve the required performance on large-scale problems with multidimensional data. Like their relational counterparts, these management systems support specific array query languages as the user interface.Further, as a popular programming model, MapReduce allows large-scale data analysis and has also been leveraged to facilitate query processing and used as a database engine. Nevertheless, one major obstacle is the low productivity of developing MapReduce applications. Unlike the high-level declarative language such as SQL, MapReduce jobs are written in low-level descriptive language, often requiring massive programming efforts and complicated programming debugging processes.This paper presents a system that supports translating array queries expressed by AQL (Array Query Language) in SciDB into MapReduce jobs. We focus on effectively translating some unique structural aggregations, including circular, grid, hierarchical, and sliding aggregations. Unlike the traditional aggregations in relational databases, these structural aggregations are designed explicitly for array manipulation. Thus, our work can be considered an array-view counterpart of some existing SQL-to- MapReduce translators like HiveQL/Hive and YSmart. We show that our translator can effectively support structural aggregations over arrays (or sub-arrays) to meet various array manipulations. Moreover, our translator can help user-defined aggregation functions with the minimum effort of the user.We also show that our translator can generate optimized MapReduce code, leading to significantly better performance than the short hand-written code by up to 10.84X.
Efficacy and safety of denosumab de-escalation in giant cell tumor of bone
Authors: Nakata Eiji , Kunisada Toshiyuki , Fujiwara Tomohiro , Itano Takuto , Kondo Ayana , Katayama Haruyoshi , Ozaki Toshifumi 
Published: December 2022

Abstract

Purpose This study aims to investigate the efficacy and safety of denosumab de-escalation for giant cell tumor of bone (GCTB). Methods The medical records of nine patients with unresectable or resectable GCTB not eligible for resection who received de-escalated denosumab treatment at a single institution in 2014–2022 were retrospectively reviewed. The denosumab treatment interval was gradually extended to every 8, 12, and 24 weeks. The radiographic changes and clinical symptoms during standard and de-escalated denosumab therapy were assessed. Results The denosumab interval was de-escalated after a median of 12 months of a standard 4-weekly treatment. Imaging showed that the good therapeutic responses obtained with the 4-weekly treatment were sustained with 8- and 12-weekly treatments. GCTB treated with de-escalated denosumab therapy resulted in a complete and partial responses in one and eight patients, respectively, which were achieved with standard treatment. One patient with small femoral lesion and two patients with sacral lesion proceeded to 24-weekly treatment. Although the patient with femoral lesion had stable disease, both sacral lesions experienced tumor regrowth within 12 months. The extraskeletal masses reduced significantly with standard treatment, while tumor reduction was sustained during de-escalated treatment. The clinical symptoms improved significantly with standard treatment and remained improved during de-escalated treatment. Two patients experienced ONJ and one patient developed malignant transformation. Conclusion In conclusion, 12-weekly de-escalated denosumab treatment showed clinical benefits as a maintenance treatment in patients with unresectable GCTB, in addition to sustained stable tumor control and improved clinical symptoms with standard treatment.
A Novel Channel Selection Approach for Human Neonate’s Pain EEG Data Analysis
Authors: Talebi Safa , Frounchi Javad , Tazehkand Behzad Mozaffari 
Published: December 2022

Abstract

Quantitative measurement of pain using the Electroencephalogram (EEG) signals has received much attention, recently. Pain EEG data processing is associated with complexity and high computational cost. This study aims to propose a new method for selecting efficient EEG channels to determine the area of the scalp that contains the most information about brain activity during acute pain in neonates. Also, selecting relevant channels in pain assessment reduces computational costs. In this study, a new channel selection approach is proposed, which is a combination of filter and wrapper methods. A new pseudo-Sequential Forward Feature Selection (pseudo-SFFS) method is presented to reduce the computational complexity of wrapper methods. We preprocessed data by applying a bandpass filter. We used wavelet transform to extract features. After extracting the features, we applied two feature selection steps. In the first step, we applied the T-test to the extracted features. In the second step, we selected the effective channels based on the output of the applied pseudo-SFFS algorithm into Support Vector Machine (SVM), Decision Tree (DT), and Gaussian Naive Bayesian (GNB) classifiers. Using the proposed method two channels of the sensorimotor cortex including Cz and C4 channels have been selected from 18 EEG channels for pain stimulation through the left heel of neonates. Also, the results show that most of the acute pain information of neonates is related to the delta and theta frequency bands.
Functional analysis of IL-34 in diabetic ulcer healing: A bioinformatic study
Authors: Zheng Aitian , Xu Yuanyuan , Wu Biaoliang 
Published: December 2022

Abstract
Background: The management of diabetic foot ulcer (DFU) is a extreme clinical and social concern, and non-healingis a research hotspot. The molecular changes of non-healing but not yet clear. In this study, we primarily focused on differences between patients with healing and non-healing DFUs. We also discussed how differentially expressed genes (DEGs) in fibroblasts provide insights into pathological states of DFU healing.
Methods: Datasets of GSE166120 and GSE165816 were obtained from the Gene Expression Omnibus (GEO) database. Differential expression analyses identified the healing-related genes, and a functional enrichment analysis of DEGs was performed . Finally, we performed qRT-PCR on DFU tissue sections to confirm the findings related to DFU healing.
Results: Fibroblasts were isolated from healing and non-healing DFU according to their signature genes and then subdivided into five subpopulations based on their gene expression profiles differences. A comparison of fibroblast subpopulation characteristics revealed that the proportion of the subpopulation 4 was significantly higher in non-healing DFUs than in healing DFUs. Among the subpopulation 4, we found 254 up-regulated genes and 2402 down-regulated genes in the non-healing compared to the healing patients. An analysis of functional enrichment revealed that
DEGs perform several biological functions, including cytokine activity, receptor ligand activity, signaling receptor activator activity, and receptor regulator activity. Interleukin (IL)-34 is associated with all of these functions. IL-34 was found to be down-regulated in non-healing compared with healing DFU samples,indicating thatincreased expression of IL-34 was associated with DFU healing. In the final validation, we found that IL-34 expression was lower in patients with non-healing DFU than those with healing DFU (p＜0.05), which is consistent with the bioinformatic results.
Conclusions: IL-34 is a key factor in the healing process of diabetic foot ulcer.