bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gallium-68 labelled RGD PET/CT imaging of endothelial activation in COVID-19 patients
Authors: Genugten Evelien A.J. van , Lith Theresa J. van , Heuvel Frederik M.A. van den , Steenis Josee van , Heggeler Romy M. ten , Brink Monique , Rodwell Laura , Lobeek Daphne , Have Wanda Hagmolen of ten , de Veerdonk Frank L. van , Netea Mihai G. , Prokop Mathias , Nijveldt Robin , Tuladhar Anil M. , Aarntzen Erik H.J.G. 
Published: November 2022

Abstract
In coronavirus disease 2019 (COVID-19), endothelial cells play a central role and inadequate response is associated with vascular complications. PET imaging with gallium-68 labelled RGD-peptide (68Ga-RGD) targets αvβ3 integrin expression which allows quantification of endothelial activation. In this single-center, prospective observational study, we included ten hospitalized patients with COVID-19 between October 2020 and January 2021. Patients underwent 68Ga-RGD PET/CT followed by iodine mapping of lung parenchyma. CT-based segmentation of lung parenchyma, carotid arteries and myocardium was used to quantify tracer uptake by calculating standardized uptake values (SUV). Five non-COVID-19 patients were used as reference. The study population was 68.5 (IQR 52.0-74.5) years old, with median oxygen need of 3 l/min (IQR 0.9-4.0). 68Ga-RGD uptake quantified as SUV ± SD was increased in lungs (0.99 ± 0.32 versus 0.45 ± 0.18, p < 0.01) and myocardium (3.44 ± 1.59 versus 0.65 ± 0.22, p < 0.01) of COVID-19 patients compared to reference but not in the carotid arteries. Iodine maps showed local variations in parenchymal perfusion but no correlation with SUV. In conclusion, using 68Ga-RGD PET/CT in COVID-19 patients admitted with respiratory symptoms, we demonstrated increased endothelial activation in the lung parenchyma and myocardium. Our findings indicate the involvement of increased and localized endothelial cell activation in the cardiopulmonary system in COVID-19 patients.
Trail registration
NCT04596943
Siting central venous catheters precisely by means of the ECG method - A Reliability Study
Authors: Schummer Wolfram 
Published: November 2022

Abstract
Introduction: For central venous catheters (CVC) to function properly, optimal tip location is of utmost importance.
One technique to verify CVC position is the ECG method. Nowadays, the ECG method is applied using the maximum P-wave amplitude (P-max).
The hypothesis is that a method believed to be precise in assessing CVC position can provide the same results for CVC tip positions regardless of their respective insertion sites.
Methods: Only critically ill patients with multiple organ dysfunction were eligible for the study. Another condition was a prerequisite for reliable illustration of the results, i.e. at least two central venous lines had to be in place. All catheters were placed using the ECG method with the CVC tip at P-max. In all patients, a chest X-ray was performed within 24 hours of line insertion to assess the CVC positions.
Results: Between January 2018 and December 2020, 51 critically ill patients with more than one CVC concurrently in place were deemed eligible and were included in the study. The distance between the inserted CVC tips was measured using the picture archiving and communication system (PACS). Across 51 patients, the mean difference between the two central lines inserted was 0.31 cm. The median was 0.00 cm, indicating that more than half of the sample exhibited no difference in positioning.
Conclusion: The ECG method of placing the CVC tip at P-max is a stable and reliable bedside method for positioning CVCs as the results for double CVCs impressively underline and it already works during the access procedure. However, the results demand confirmation in further studies.
Renewable Energy for Productive Manufacturing Firms in Cameroon: effect of renewable energy on the productivity of manufacturing firms
Authors: KOUMOU ETIENNE LANDRY 
Published: November 2022

Abstract
The objective of this paper is to investigate the effect of renewable energy on the productivity of manufacturing firms in Cameroon. The data used comes from the annual enterprise surveys (EAE) of the National Institute of Statistics (INS) for the 2012-2019 editions. The method used is the two-stage stochastic frontier approach. The results show that renewable energy positively affects the productivity growth of firms. This effect is evaluated at 14.70% for 1% of renewable energy consumed. Despite this positive effect, the productivity growth of these firms remains at a low rate of 21.16% over the whole period.
Luminescent Cd coordination polymer: synthesis, crystal structure and its application as a dual-responsive chemosensor for 4-nitroaniline and CrO42− in water
Authors: Hosseini Akram Karbalaee , Tadjarodi Azadeh 
Published: November 2022

Abstract
A novel highly fluorescent cadmium metal–organic framework, [Cd (DPTTZ) (OBA)] (IUST-3), synthesized by using two linkers 2, 5-di (pyridine-4-yl) thiazolo [5, 4-d] thiazole (DPTTZ) and 4, 4'- oxybis (benzoic acid) (OBA) simultaneously, which exhibits a two-dimensional framework. The characteristics of this Cd-MOF were investigated by single-crystal X-ray diffraction (SXRD), fourier transform infrared spectroscopy (FT-IR), elemental analysis (EA), powder X-ray diffraction (PXRD), and thermogravimetry analysis (TGA). IUST-3 exhibits excellent luminescence property and good stability in water. Luminescent experiments indicate that IUST-3 has remarkable sensitivity and selectivity for the detection of 4-nitroaniline (4-NA), and CrO42– anion with KSV = 1.03×105 M-1 (4-NA) and KSV = 2.93×104 M-1 (CrO42–) and low limit of detection 0.52 µM (4-NA) and 1.37 µM (CrO42–). In addition, the possible fluorescence quenching mechanism was explored in this paper.
Determinants of Urgent Dialysis Start in a Chronic Kidney Disease Cohort Followed by Nephrologists
Authors: Tachikart Amin , Vachey Clément , Savet Caroline , Ducloux Didier , Courivaud Cécile 
Published: November 2022

Abstract
Background: The French Renal Epidemiology and Information Network (REIN) registry collect dialysis initiation context for each patient starting dialysis with a flawed definition of urgent dialysis start (UDS). The main objective of this study was to identify factors associated with UDS in patients regularly followed-up by a nephrologist using a classification of UDS considering the preparation to renal replacement therapy.
Methods: This retrospective cohort study included adult patients who started dialysis between 2012 et 2018 in the Franche-Comté region of France after a minimum of two nephrology consultations. We classified dialysis initiation context as follows: UDS for patients with no vascular access (VA) created or planned, suboptimal dialysis start (SDS) for patients starting with a recent or non-functional VA and planned dialysis start (PDS) for those starting with a functional and mature VA.
Results: Four hundred and sixty-five patients met inclusion criteria. According to REIN registry, 94 (20.3%) patients were urgent starters (US) whereas with our classification 80 (17.2%) and 73 (15.7%) where respectively US and suboptimal starters (SOS). The factors independently associated with UDS in our classification were: stroke (odds ratio(OR) = 2.76, 95% confidence interval (95%CI)=[1.41-5.43]), cardiac failure (OR=1.78, 95%CI=[1.07-2.96]) and the number of nephrology consultations prior dialysis onset (OR=0.73, 95%CI=[0.64-0.83]). Thirty-one patients died during the first year after dialysis start. According to our classification, we observed significantly different survival probabilities: 95.7%, 89.5% and 83.4% respectively for planned starters, SOS and US (p=0.001).
Conclusion: The two factors independently associated with UDS were cardiac failure and stroke.
Ratio of carbon dioxide veno-arterial difference to oxygen arterial-venous difference is not associated with lactate decrease after fluid bolus in critically ill patients with hyperlactatemia: results from a prospective observational study
Authors: KAEFER Keitiane , Pierrakos Charalampos , NGUYEN Thomas , VELISSARIS Dimitrios , ATTOU Rachid , DEVRIENDT Jacques , SCOLLETTA Sabino , TACCONE Fabio Silvio 
Published: November 2022

Abstract
Background
High ratio of the carbon dioxide veno-arterial difference to the oxygen arterial-venous difference (PvaCO2/CavO2) is associated with fluid bolus (FB) induced increase in oxygen consumption (VO2). This study investigates whether PvaCO2/CavO2 is associated with decreases in blood-lactate levels FB in critically ill patients with hyperlactatemia.
Methods
This prospective observational study examined adult patients in the intensive care unit (ICU) with lactate levels > 1.5 mmol/L who received FBs. Blood-lactate levels were measured before and after FB under unchanged metabolic, respiratory, and hemodynamic conditions. The primary outcome was blood-lactate levels after FB. Significant decreases in blood-lactate levels were considered as blood-lactate levels < 1.5 mmol/L or a decrease of more than 10% compared to baseline.
Results
The study enrolled 40 critically ill patients, and their median concentration of blood lactate was 2.6 [IQR:1.9 − 3.8] mmol/L. There were 27 (68%) patients with PvaCO2/CavO2 ≥ 1.4 mmHg/ml, and 10 of them had an increase in oxygen consumption (VO2) ≥ 15% after FB, while 13 (32%) patients had PvaCO2/CavO2 < 1.4 mmHg/ml before FB, and none of them had dVO2 ≥ 15% after FB. FB increased the cardiac index in patients with high and low preinfusion PvaCO2/CavO2 (13.4% [IQR: 8.3 − 20.2] vs. 8.8% [IQR: 2.9 − 17.4], p = 0.34). Baseline PvaCO2/CavO2 was not found to be associated with a decrease in blood lactate after FB (OR: 0.88 [95% CI: 0.39 − 1.98], p = 0.76). A positive correlation was observed between changes in blood lactate and baseline PvaCO2/CavO2 (r = 0.35, p = 0.02).
Conclusions
In critically ill patients with hyperlactatemia, PvaCO2/CavO2 before FB cannot be used to predict decreases in blood-lactate levels after FB. Increased PvaCO2/CavO2 is associated with less decrease in blood-lactate levels.
Spatiotemporal Attention-Based Long Short-Term Memory Auto- encoder Network for Early Fault Detection of Wind Turbine Generators
Authors: Ma Junyan , Yuan Yiping , Chen Pan , Sitahong Adilanmu 
Published: November 2022

Abstract
Studies show that fault detection of the wind turbine generator is affected by time-varying working conditions. In the present study, generator data during a normal operation are integrated with the spatiotemporal attention mechanism to construct a long short-term memory auto-encoder network (AM-LSTM). In this regard, the spatiotemporal correlation of the generator operational data are calculated and the deep features of the generator under time-varying working conditions are extracted. Then the Mahalanobis distance between depth features is calculated and the health threshold is determined by kernel density estimation. To evaluate the performance of the proposed scheme, the supervisory control and data acquisition (SCADA) system data of a 2.0 MW doubly-fed asynchronous wind turbine generator are utilized. The obtained results demonstrate that the proposed method is an effective scheme to detect generator faults in advance. Furthermore, the visualization of the attention map interprets the cause of failure in a wind turbine generator. The obtained results show that the accuracy of fault detection is not affected by time-varying operating conditions, and the generator faults are detected 4.75 and 8.5 hours in advance respectively.
Research on Power Control Routing Algorithm for Wireless Sensor Networks Based on Ant Colony Optimization
Authors: He Jianqiang , Teng Zhijun , Zhang Fan 
Published: November 2022

Abstract

One of the key research topics to extend the network lifetime is choosing the suitable routing algorithm to increase the energy efficiency of nodes in information transfer. An improved EEABR algorithm called N-EEABR is proposed to address the problems that the current ant colony routing algorithm is easily prone to: increasing the communication cost when the long ant packet is used; the routing loop is easily formed when the short ant packet is used; and the uneven distribution of node energy consumption. The pheromone update formula of the backward ant packet is redefined and the deviation value of node energy and path energy is added. This effectively weakens the loop effect of EEABR in short ant packets and balances the residual energy of nodes in the network. "pkt_src" (ant packet source address) and "sq_num" (ant packet sequence number) are added together in the neighbor list of nodes in the EEABR algorithm. The N-EEABR algorithm extracts the RSSI value from the "hello" packet to determine the best transmission power of the nearby node, which helps to further reduce the energy consumption of the node when sending packets. To conserve transmission energy and prevent energy waste, a PCABR-based ant colony routing algorithm is presented. The simulation results demonstrate that these algorithms have some degree of increase in node energy consumption efficiency and network energy balance, with the PCABR's path optimization accuracy being more obvious than that of N-EEABR and EEABR.
Comparison of health-related quality of life in people with colorectal cancer with and without colostomy bag in Tabriz hospitals 2022
Authors: Dahouri Amirmohammad , Sahebihagh Mohammadhassan , gilani neda 
Published: November 2022

Abstract
Background
Rectal and colon cancer are the second and third leading causes of cancer death in men and women in the United States. The incidence of colon and rectal cancer in Iran has increased over the past 25 years. Colorectal cancer has significant effects on the health and economy of societies. Despite developments in treatment, the numeral of people with a history of Cancer is growing. These embrace survivors alive with a permanent ostomy. Ostomies can negatively affect health-related quality of life among cancer survivors.
Method
This study is descriptive-comparative. To conduct the above study, 252 patients with colorectal cancer were included in the study by a convenient method and based on the inclusion criteria. The data collection tools included the demographic information form and the shortened form of the valid and reliable health-related quality of life questionnaire (SF-36). The validity and reliability of these questionnaires have already been measured. Statistical analyzes were performed using IBM SPSS statistics version 24.
Results
In this study, the health-related quality of life score was 43.03 ± 17.08 in people with colostomy and 51.38 ± 15.57 in people without colostomy, which indicates that the quality of life is low in these patients. Also, there was a statistically significant difference in physical performance, role limitation due to physical health, role limitation due to emotional problems and health-related quality of life in people with and without bags (P < 0.005).
Conclusion
Health planners at the macro level and health service providers at the micro level should be aware of the importance of this issue and provide timely interventions to improve HRQOL, and pay special attention to those aspects of HRQOL that are of great importance.
Respiratory arousal threshold among patients with isolated sleep apnea and with comorbid insomnia (COMISA)
Authors: Yanagimori Marcela , Fernandes Mariana D. , Garcia Michelle L , Scudeller Paula G , Carvalho Carlos R , Edwards Bradley , Lorenzi-Filho Geraldo , Genta Pedro R 
Published: November 2022

Abstract
Insomnia and obstructive sleep apnea (OSA) are common sleep disorders and may coexist (COMISA). Arousals from sleep may be a common link explaining the frequent comorbidity of both disorders. Respiratory arousal threshold (AT) is a physiologic measurement of the level of respiratory effort to trigger an arousal from sleep. The impact of COMISA on AT is not known. We hypothesized that a low AT is more common among COMISA than among patients with OSA without insomnia. Participants referred for OSA diagnosis underwent a type 3 sleep study and answered the insomnia severity index (ISI) questionnaire and the Epworth sleepiness scale. Participants with an ISI score ≥ 15 were defined as having insomnia. Sleep apnea was defined as an apnea hypopnea index (AHI) ≥15 events/h. Low AT was determined using a previously validated score based on 3 polysomnography variables (AHI, nadir SpO2 and the frequency of hypopneas). OSA-only (n=51) and COMISA (n=52) participants had similar age (61[52-68] vs 60[53-65] years), body-mass index (31.3[27.7-36.2] vs 32.2[29.5-38.3] kg/m 2) and OSA severity (40.2[27.5-60] vs 37.55[27.9-65.2] events/h): all p=NS. OSA-only group had significantly more males than the COMISA group (58% vs 33%, p=0.013. The proportion of participants with a low AT among OSA-only and COMISA groups was similar (29 vs 33%, p=NS). The similar proportion of low AT among COMISA and patients with OSA suggests that the respiratory arousal threshold may not be related to the increased arousability of insomnia.
UBD is a potential diagnostic and prognostic biomarker in glioma
Authors: Wu Tao , Yang Yachuan , Xie Xuangui , Zhang Hongliang , Cai Decheng , Li Peng , Chen Tao , Cai Yixiao 
Published: November 2022

AbstractBackground:Several studies had shown that the ubiquitin D (UBD) could be a potential prognostic factor in various cancers. However, the prognostic value of UBD in glioma remained unknown.Materials and Methods:The differences of UBD expression in glioma were analyzed based on the datasets of the Cancer Genome Atlas database (TCGA) and Chinese Glioma Genome Atlas (CGGA) and identified by qRT-PCR and western blot. Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Gene set enrichment analysis (GSEA) were used to determine the functions of UBD. Moreover, the protein network of UBD was constructed using Cytoscape software. A spearman’s correlation analysis was performed to determine the association between UBD expression and immune cell infiltration. Additionally, a logistic regression analysis was performed to analyze the association between UBD expression and the clinicopathological characteristics of the glioma patients. The diagnostic and prognostic predictive values of UBD were evaluated using the Kaplan–Meier survival curves, Cox regression analysis, diagnostic receiver operating characteristic (ROC) curves, and nomogram model. Finally, the biological function of UBD was determined by wound healing assays, transwell assays, EdU and colony formation assays.Results:UBD expression in glioma samples was considerably increased, which was associated with the P53 pathway, angiogenesis, inflammatory response, TNFα -NF-κB signaling, IL-6-JAK-STAT3 signaling, PI3K-AKT-mTOR signaling, TGF-β signaling, KRAS signaling, as well as hypoxia, and epithelial-mesenchymal transition (EMT). UBD expression correlated with the infiltration level of immune cells through the ssGSEA method. High UBD expression was an independent prognostic factor of glioma in TCGA. ROC curve analysis showed good diagnostic efficacy of UBD in glioma. Furthermore, UBD could increase the migration, invasion and proliferation ability of glioma cells.Conclusion:UBD may be a potential prognostic marker and therapeutic target in glioma.
Evaluation of machine learning algorithms for groundwater quality modeling
Authors: Sahour Soheil , Khanbeyki Matin , Gholami Vahid , Sahour Hossein , Kahvazade Irene , Karimi Hadi 
Published: November 2022

Abstract
Groundwater quality is measured through water sampling, and lab analysis. The field-based measurements are costly and time-consuming when applied over a large domain. In this study, we developed a machine learning-based framework to map groundwater quality in an unconfined aquifer in the north of Iran. Groundwater samples were provided from 248 monitoring wells across the region. The groundwater quality index (GWQI) in each well was measured and classified into four classes of Very poor, Poor, Good, and Excellent according to their cut-off values. Factors affecting groundwater quality, including distance to industrial centers, distance to residential areas, population density, aquifer transmissivity, precipitation, evaporation, geology, and elevation, were identified and prepared in the GIS environment. Six machine learning classifiers, including extreme gradient boosting (XGB), random forest (RF), support vector machine (SVM), artificial neural networks (ANN), k-nearest neighbor (KNN), and Gaussian classifier model (GCM), were used to establish relationships between GWQI and its controlling factors. The algorithms were evaluated using the receiver operating characteristic curve (ROC) and statistical efficiencies (overall accuracy, precision, recall, and f-1 score). Accuracy assessment showed that ML algorithms provided high accuracy in predicting groundwater quality. However, RF was selected as the optimum model given its higher accuracy (overall accuracy, precision, and recall = 0.92; ROC = 0.95). The trained RF model was used to map GWQI classes across the entire region. Results showed that the Poor GWQI class is dominant in the study area and Good GWQI can be found in southwest. An area of Very Poor GWQI was observed in the north. Findings indicated that the distance to industrial locations is the main factor affecting groundwater quality in the area. The study provides a cost-effective methodology in groundwater quality modeling that can be duplicated in other regions with similar hydrological and geo-logical settings.
Genome-Wide Identification and Expression Analysis of Brassica EXO70 Gene Family
Authors: Zhang Xiaoyu , Guo Xinping , Li Ting , Zhang Lina , Cao Yunyun , Duan Qiaohong , Huang Jiabao 
Published: November 2022

Abstract
Background EXO70 is a crucial subunit of the exocyst complex.Brassica rapa belongs to the cruciferous vegetables and is a typical example of sporophyte self -incompatibility.EXO70 gene family plays a vital role in reproduction of Brassica rapa.
Methods and Results In this study, a total of 39 EXO70 family members were identified from the Brassica rapa genome, which were mapped to ten B. rapa chromosomes. Our results showed that most of the genes of the EXO70 family code for products that are distributed in the nucleus and cytoplasm.This gene family developed three clades during evolution, divided into eight subgroups. We unveiled differences in gene structure, conserved motifs, and basic domains in the EXO70 gene family of B. rapa. Gene duplication was common and has resulted in the expansion of the BrEXO70 family. The analysis of cis-regulatory elements elucidated that most of the genes are involved in interactions with major hormones (abscisic acid and methyl jasmonate), stress responses, and light responses. The expression profile revealed that BrEXO70 is expressed abundantly in different tissues. Furthermore, BrEXO70 appears to contributing to self-incompatibility and regulating male-female sterility. Notably, in predicting the protein interaction network we found that Br009523 interacts with Br036797 and Br038900 (related to the membrane component PIP2).
Conclusion We analyzed this gene family through bioinformatics, and speculated some functions in expression profile. We have inferred other functions in plant tissues, male and female sterility, and self