bluuebunny/crossref_metadata_2025_split huggingface dataset:
Common clinical presentations and antimicrobial resistance pattern among burn patients, at Addis Ababa Burn and Emergency Trauma Hospital (AaBET), Addis Ababa, Ethiopia
Authors: Menjeta Abeje Brhanu , Gize Addisu , Feleke Surafel Tadesse , Hassen Ibsa Kedir , Muleta Mahteme Bekele 
Published: March 2023

Abstract
Background: Burn is a very devastating form of trauma, which is responsible for a significant percentage of morbidities and mortalities caused by injury and accidents worldwide. Thermal injury destroys the skin barrier that normally prevents invasion of microorganisms and makes burn wounds susceptible site for colonization by microorganisms of endogenous and exogenous origin.
Methods:A prospective cross-sectional study was held at Addis Ababa Burn, Emergency and Trauma (AaBET) Hospital, Addis Ababa, Ethiopia, from December 01, 2020 to November 30, 2021. Data collected using structured and pretested questionnaire through face-to-face interview. Then, by observing standard procedures wound swabs collected from all consented participants and evaluated for possible microbial isolates and their antibiotic resistance and sensitivity pattern. The extracted data analyzed using SPSS 20.1. This study was conducted following approval of the Saint Paul’s Hospital Millennium Medical College Institutional Review Board.
Result: From a total of 75 patients who consented for the study, males account 53.3% (n=42), and age ranged from 6 months to 76 years, with the median age being 19 years. Children less than 15 years old account 42.7% (n=32). Flame burn was the leading cause (n=30, 40%) followed by a scald burn (n=22, 29.3%) and high voltage electric burn (n=21, 28%). Pseudomonas aeruginosa was the commonest isolate (42 isolates; 61.7%) followed by Staphylococcus aureus (18 isolates; 26.4%). A significant percentage of the positive swab results were monomicrobial (84.7%) as compared to those polymicrobial isolates (15.3%). Pseudomonas aeruginosa was found to be highly sensitive to Meropenem, Tobramycin, Gentamycin, and Ciprofloxacillin, while it showed high resistance to ceftriaxone and ceftazidime, Cotrimoxazole, Amoxicillin-clavulanic acid.
Conclusion: Pseudomonas aeruginosa is the most common bacteria isolate from burn wounds of the study participants and it is sensitive to Meropenem, Tobramycin, Gentamycin and Ciprofloxacillin; but resistant to Ceftriaxone and Ceftazidime.
A novel approach to PAAD patient care: A 9-cuproptosis-related differential expression lncRNAs model for prognosis prediction
Authors: Xu Chao , Feng Yanzhi , Yan Yong , Liang Litao , Kong Lianbao , Zhou Yongping 
Published: March 2023

Abstract
Cuproptosis is a novel type of programmed cell death that is being linked to varied malignancy activities. Long non-coding RNAs (lncRNAs) are demonstrating an increasing ability to influence the progression of cancer and the immune microenvironment. As a result, using the TCGA database, we attempted to construct a cuproptosis-related lncRNAs risk model to predict the prognosis of pancreatic adenocarcinoma (PAAD) and identify the relationship between the risk model and the tumor immune microenvironment (TME). The Cox proportional hazards model and the Least Absolute Shrinkage and Selection Operator (LASSO) determined a 9-CuRDEPLs (Cuproptosis-related differential expression prognostic lncRNAs) prognostic risk model. Kaplan-Meier (K-M) and receiver operating characteristic (ROC) curves validate the accuracy of the model. Multivariate Cox analysis employing a risk score as well as patients' clinical parameters shows that a risk score can independently predict the prognosis of PAAD. A nomogram was created, exhibiting that the risk model was capable of accurately predicting the overall survival of PAAD patents for 1, 3, and 5 years. The link between the immunological features and 9-CuRDEPL's model was also investigated further. The findings suggest that TME, particularly CD8+ cells, differs from high to low risk groups. The drug correlation assay reveals that nine CuRDEPLs have a strong relationship with the sensitivity of certain drugs. All of these suggest that 9-CuRDEPL's model could be utilized to forecast the prognosis of PAAD and will help guide clinical therapy for pancreatic cancer.
Long-term changes in observed soil temperature over Poyang Lake Basin, China during 1960-2016
Authors: Lou Dan , Shi Xiao , Ullah Waheed , Shi Dawei , Li Chao , Chai Yuanfang , Jinping Xu , Zhou Hao 
Published: March 2023

Abstract
A regional analysis of soil temperature (ST) is essential for improving our understanding of the soil thermal regime and its link with the atmosphere. This study attempts to assess trends in the Poyang Lake Basin (PLB) ST magnitude during 1960–2016 from station observations at multiple depths. The Mann-Kendall, Thiel-Sen, linear regression and probability density statistics (PDF) are used for ST trend assessment with a significance level of 95%. The ST seasonal variability shows minimum values in winter (8℃) and maximum in the summer season (32 ℃). On an interannual scale, spring and winter seasons exhibited a significant increase in both land surface temperature (LST) (0.4℃, 0.4℃) and ST (0.3ºC, 0.15℃) magnitude than summer (LST − 0.1℃, ST 0.2℃) and autumn seasons (LST 0.3℃, ST 0.2℃). The northern basin exhibited a significant increase in LST, and ST magnitude, especially during the cold seasons (spring, winter) than the warm seasons. The maximum and minimum temperature trend and their diurnal difference infer an increase in the minimum temperature, especially during the summer, autumn, and winter seasons. The PDF further inferred that extreme cold events' frequency decreased, and a significant increase in extreme warm events is obvious in the recent decade. The increasing trend in soil temperature magnitude is more in the northern basin than the high-altitude southern basin. Large-scale global warming and regional water and energy cycle changes can be the leading factors of such a warming trend.
Sentiments Analysis of COVID-19 Subvariant XBB.1.5 using machine learning
Authors: Olanipekun Ayorinde , Mashao Daniel 
Published: March 2023

Abstract
The Covid-19 pandemic has caused a significant impact on society, with discussions about the virus taking place on various social media platforms. In this study, different machine learning techniques for sentiment analysis of COVID-19 Subvariant XBB.1.5 were explored. The datasets of tweets containing hashtags related to Covid-19 Subvariant XBB.1.5 were collected and natural language processing techniques were used as processing techniques to pre-process the text. In this research, all tweets related to COVID-19 Subvariant XBB.1.5 from October 15th, 2022 are collected using the Twitter API. Different machine learning algorithms were later used to classify the tweets as positive, neutral, or negative in sentiment. The different algorithms used includes Stochastic Gradient Descent, Logistic regression, Naïve Bayes, Random Forest, Support Vector Machine and Extreme Gradient Boosting Our results showed that Logistic Regression achieved the highest accuracy, with an overall accuracy of 89% testing accuracy and 100% training accuracy, with positive sentiments having 0.95 Precision, 0.9 recall, and 0.93 F1-Score. The higher percentage of Positive tweets sentiments about COVID-19 Subvariant XBB.1.5, showed that most people were not disturbed about the negative impact the virus could have on them in comparison to the first and other previous Covid variants. The statistical performance of the different machine learning algorithms is measured using Accuracy, F1-Score, recall, precision, and ROC. The accuracy of the different classifiers applied is high.
The role of indoleamine 2,3-dioxygenase in stress-induced metabolic disorders
Authors: Bhadra Sukanta , Chen Daling , Li Jianning , Chen Siyu , Liu Chang 
Published: March 2023

Abstract
Depression is considered the second leading cause of the global health burden after cancer. Depression doubles the risk of metabolic syndrome in the overall population. Depressed people are more vulnerable to metabolic syndrome because of their poor health-related practices. The regulatory key factors between metabolic diseases and depression are poorly understood in terms of dysregulation of genes affected in depressive disorder. We employed in silico analysis and quantitative framework to understand the molecular mechanism of depression and its related metabolic diseases. According to the previous studies, the key regulator of tryptophan metabolism, IDO-1, plays an important role in the pathophysiology of depression. In the present study, molecular docking and simulation analyses were performed to determine the interaction kinetics of Indoleamine 2,3-dioxygenase (IDO-1) with drugs, including metformin, pioglitazone and alpha- tocopherol, which are widely used in the treatment of diabetes and non-alcoholic steatohepatitis (NASH). Our study aims to outline the effect of IDO1 on hepatic lipid metabolism in vitro and in vivo. We found that stressed mice showed the improved glucose and insulin tolerance compared to the control group. IDO-1 expression robustly increased in the serum of high-fat diet-induced stressed mice. In vitro study confirms that knocked down of IDO-1 aggravated lipid droplets in AML-12 hepatocytes treated with free fatty acids and upregulated the mRNA expression of lipid metabolic genes. Hence, IDO-1 may contribute a significant role in hepatic lipid metabolism. Taken together, our findings suggest that IDO-1 may inhibit the of lipid accumulation in the liver and can serve as a potent drug target for pioglitazone to combat metabolic abnormalities along with stress prevention.
A pH/Enzyme Dual Responsive PMB Spatiotemporal Release Hydrogel Promoting Chronic Wound Repair
Authors: Dong Lanlan , Huang Can , Zhao Baohua , Hu Guangyun , Huang Yong , Zhang Xiaorong , Hu Xiaohong , Wang Ying , Qian Wei , Luo Gaoxing 
Published: March 2023

Abstract
Persistent MDR bacterial infection and excessive inflammation are stricken issues in chronic wounds. Currently, developing a microenvironment-responsive hydrogel with good biodegradability, drug-loading, anti-infection, and anti-inflammatory properties is desired to boost the wound-healing process, but remains a challenge using ordinary assembly. Herein, we propose a pH/enzyme dual responsive PMB spatiotemporal release hydrogel (GelMA/OSSA/PMB), including polymer drug conjugate (Schiff's base reaction between aldehyde groups in OSSA and amino groups in PMB) and photo-crosslinked GelMA. The ingenious combination of novel polymer conjugates (OSSA/PMB) in the GelMA/OSSA/PMB hydrogel shows better bio-safety than equivalent free PMB and is contributes to relase PMB controlly, which helps to kill planktonic bacteria and inhibit biofilm activity in vitro. Notably, it performs better bio-safety on encapsulating hydrophilic active PMB than equivalent free PMB. Simulataneously, GelMA/OSSA/PMB exhibits excellent antibacterial properties and anti-inflammatory activities. MDR P.a-caused infection was effectively cured by the GelMA/OSSA/PMB hydrogel in vivo, and thereby the wound closure at the inflammatory phase was promoted significantly. Further, GelMA/OSSA/PMB accelerated the sequential phases in wound repair progress. GelMA/OSSA/PMB hydrogel showed the potential of microenvironment-responsive hydrogels in chronic wound dressings.
A Weakly Supervised Semantic Segmentation Method based on Local Superpixel Transformation
Authors: Ma Zhiming , Chen Dali , Mo Yilin , Chen Yue , Zhang Yuming 
Published: March 2023

Abstract
Weakly supervised semantic segmentation (WSSS) can obtain pseudo-semantic masks through a weaker level of supervised labels, reducing the need for costly pixel-level annotations. However, the general class activation map (CAM)-based pseudo-mask acquisition method suffers from sparse coverage, leading to false positive and false negative regions that reduce accuracy. We propose a WSSS method based on local superpixel transformation that combines superpixel theory and image local information. Our method uses a superpixel local consistency weighted cross-entropy loss to correct erroneous regions and a post-processing method based on the adjacent superpixel affinity matrix (ASAM) to expand false negatives, suppress false positives, and optimize semantic boundaries. Our method achieves 73.4% mIoU on the PASCAL VOC 2012 validation set and 73.9% on the test set, and the ASAM post-processing method is validated on several state-of-the-art methods. If our paper is accepted, our code will be published.
Grazing exclusion on capacity of symbiotic nitrogen fixation estimated with natural 15N abundance and the 15 N dilution techniques
Authors: Li Runfu , Kong Qian , Liu Qiang , Niu Haishan 
Published: March 2023

Abstract

Grazing exclusion is the commonest degradation-recovering practice for alpine grasslands on Qing-Tibetan Plateau (QTP). A general response of legumes is the reduction in abundance, cover or biomass (esp. in relative scale), which is supposed to decrease in biological nitrogen fixation (BNF). Here, we want to estimate whether the capacity of BNF in legumes (measured by unit biomass) would be changed by grazing exclusion. Two 15N isotope techniques were adopted to compare the BNF capacity of Astragalus arnoldii (a legume) between inside and outside animal-exclusion fence. For natural abundance (NA) method, plants were sampled at three timepoints, while for isotope dilution (ID) method, plants were collected after one day (24h), one month and one year of labeling. The two consistent in estimating percentage of N derived from atmosphere (%Ndfa) (77.52 ± 1.96% in NA vs. 72.39 ± 2.59% in ID), except an underestimation in ID for the first-time sampling (24h after labeling), seemingly owing to insufficient recovery time for reference plants. No significant difference in %Nfda inside (74.36 ± 2.36%) and outside (75.57 ± 2.26%) of the fence was found. Given that the biomass of legumes inside the fence (33.96 ± 2.71 g m-2) was significantly lower than that outside (19.62 ± 1.25 g m-2), we conclude that if total BNF were reduced by grazing exclusion, it would be due to the population size of legumes rather than the capacity.
Risk factor analysis of the incidence of adjacent vertebral compression fracture following PKP surgery in postmenopausal women
Authors: Fan Wu , Dawei Sang , Bin Xu , Gongwu Yuan , Zhigang Li , Shaokang Qiu 
Published: March 2023

Abstract
Objective

This study aimed to evaluate the risk factors for adjacent vertebral compression fracture following PKP surgery in postmenopausal women.

Methods

A total of 297 patients who received PKP surgery between January 2016 and December 2020 were divided into two groups according to whether the adjacent vertebral body was fractured. The covariates recorded were age, bone mineral density (BMD), the number of surgical vertebral body, the VAS scores of back, the surgical site (thoracic spine/lumbar spine), the surgical method (unilateral/bilateral), the single section of bone cement volume, the height and the kyphosis angle of the change before and after surgery, the leakage of bone cement. A one-way ANOVA was performed with the above mentioned parameters and binary logistic regression analysis was used to determine the relative risk factors.

Results

A total of 297 patients were followed-up at a mean of 2.1 ± 0.4 years (range,2–3years). Sixty-seven patients demonstrated fractures in the adjacent vertebral body following surgery. Analysis by one-way ANOVA demonstrated that the age(p = 0.001), the bone mineral density (BMD)(p = 0.000), the number of surgical vertebral body(p = 0.014), the VAS scores of back(p = 0.000), the surgical site (thoracic spine/lumbar spine)(p = 0.001), the single section of bone cement volume(p = 0.034), the height of change after surgery(p = 0.000) and the kyphosis angle of change after surgery(p = 0.000) were potential risk factors (all parameters, p<0.05). Furthermore, binary logistic regression analysis showed that the age(OR = 4.022, 95%CI 1.348–12.002, p = 0.013), the BMD(OR = 2.008, 95%CI 1.465–2.754, p = 0.000), the VAS scores of back(OR = 1.472, 95%CI 1.135–1.909, p = 0.004), the change of height after operation(OR = 0.181, 95%CI 0.089–0.367, p = 0.000) and the change of kyphosis angle after operation(OR = 0.806, 95%CI 0.689–0.943, p = 0.007) were also risk factors for adjacent vertebral compression fractures following PKP surgery in postmenopausal women.

Conclusions

The age, the BMD, the VAS scores of back, the change of height after operation and the change of kyphosis angle after operation may be risk factors for fractures in the adjacent vertebral body of postmenopausal women following PKP surgery.
Evaluation and Implementation of Lie Group Integration Methods for Rigid Multibody Systems
Authors: Holzinger Stefan , Arnold Martin , Gerstmayr Johannes 
Published: March 2023

Abstract
As commonly known, standard time integration of the kinematic equations of rigid bodies modelled with three rotation parameters is infeasible due to singular points. Common workarounds are reparameterization strategies or Euler parameters. Both approaches typically vary in accuracy depending on the choice of rotation parameters. To efficiently compute different kinds of multibody systems, one aims at simulation results and performance that are independent of the type of rotation parameters. As a clear advantage, Lie group integration methods are rotation parameter independent. However, few studies have addressed whether Lie group integration methods are more accurate and efficient compared to conventional formulations based on Euler parameters or Euler angles. In this paper, we close this gap using several typical rigid multibody systems. It is shown, that explicit Lie group integration methods outperform the conventional formulations in terms of accuracy. However, it turned out that the conventional Euler parameter-based formulation is the most accurate one in the case of implicit integration, while the average number of Newton iterations required per time step is most often smaller for the Lie group integration method. It also turns out, that Lie group integration methods can be implemented at almost no extra cost in an existing multibody simulation code if the Lie group method used to describe the configuration of a body is chosen accordingly.
Multicenter evaluation of pre-operative feeding in infants with ductal dependent circulation
Authors: Penk Jamie , Cagle Will , Holloway Adrian , Connolly Julie , Miles Alison , Bhakta Rupal , Jain Parag , Prochaska Sarah , Riley Christine , Roddy Dantin Jeramy 
Published: March 2023

Abstract
Introduction
Enteral feeds are often withheld from neonates with ductal dependent cardiac lesions who are receiving prostaglandins. This is despite positive benefits of enteral feeding. We describe a multicenter cohort of these neonates who were fed pre-operatively. We also give a granular description of vital sign measurements and other risk factors prior to feeding.
Methods
A retrospective chart review was performed at seven centers. Inclusion criteria was full-term neonates under one month of age with ductal dependent lesions receiving prostaglandins. These neonates were fed for at least 24 hours during the pre-operative period. Premature neonates were excluded.
Results
Using the inclusion criteria, 127 neonates were identified. While being fed, 20.5% of the neonates were intubated, 10.2% were on inotropes, and 55.9% had an umbilical arterial catheter in place. Median oxygen saturations in the six hours prior to feeding were 92.5% in patients with cyanotic lesions, median diastolic blood pressure was 38 mmHg and median somatic NIRS were 66.5%. The median peak daily feeding volume reached was 29 ml/kg/day (IQ range 15.5-96.8 ml/kg/day). One patient developed suspected necrotizing enterocolitis (NEC) in this cohort. Only one adverse event occurred, which was an aspiration thought to be related to feeding, but did not result in intubation or cessation of feeds.
Conclusions
NEC was rare among neonates with ductal dependent lesions while receiving enteral nutrition pre-operatively. Umbilical arterial catheters were in place in the majority of these patients. Hemodynamic measures demonstrated a high median oxygen saturation prior to initiation of feeds.
A prognostic biomarker CENPW and its relationship to immune infiltrations in clear cell renal cell carcinoma
Authors: Qiu Zhengqi , Jia Xueyuan , Fu Yancheng , Yang Yanru 
Published: March 2023

Abstract
This study examined the prognostic role of CENPW in clear cell renal cell carcinoma (ccRCC) using publicly available data from The Cancer Genome Atlas (TCGA). In order to clarify the relationship between clinicopathological features and CENPW expression information obtained from the TCGA database, logistic regression analysis was applied. Moreover, the expression of CENPW was closely associated with multiple immune cell infiltrations, as determined by immune cell infiltration analysis. Kaplan-Meier survival analysis demonstrated that the lower the expression of CENPW, the better the prognosis (p < 0.001), indicating that CENPW is an important risk factor for patients with ccRCC. In addition, CENPW expression was also significantly associated with T stage (p < 0.001), N stage (p = 0.011), M stage (p = 0.001), Pathologic stage (p < 0.001) and Histologic stage (p < 0.001). It was found that CENPW could be an independent prognostic factor in both univariate and multivariate Cox regression analyses (p < 0.05). The results of GSEA analysis showed that CENPW was closely associated with several immune-related signaling pathways. Furthermore, in ccRCC, the expression of CENPW was closely associated with the infiltration of various immune cells and the expression of multiple immune cell gene markers. Finally, we verified the expression levels of CENPW using three different datasets from the Gene Expression Omnibus (GEO) database. The results of survival outcomes on GEPIA2 website were similar to the survival curves drawn based on TCGA database (all P < 0.05). In conclusion, we conclude that CENPW is a potential independent prognostic marker for ccRCC and plays an essential role in the tumor microenvironment by regulating immune cell infiltration.