bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of the Study and Application of Sepsis Guidelines by Physicians in Tertiary Hospitals in China
Authors: Han Silu , Cui Lijian , Qu Yifan , Tian Tian , Wei Bing , Wang Junyu , Yang Jun 
Published: September 2021

Abstract
Background: To investigate the current status and problems of sepsis guidelines in clinical application among doctors in tertiary hospitals in China and to provide evidence-based case for the formulation, implementation, and training on sepsis diagnosis and treatment.Methods: Physicians from tertiary hospitals, mainly in emergency and critical care departments were enrolled into the survey. Participants completed a questionnaire on sepsis score, diagnostic indicators, fluid resuscitation, antibiotics choice, access to knowledge and application training, and the application of sepsis guidelines in clinical diagnosis and treatment. Results: Of 661 questionnaires that were distributed, 625 were returned. A total of 432 (69.12%) respondents had junior and intermediate professional titles and 193 (30.88%) had senior titles. Among them, 291 (46.56%) were self-taught, 148 (23.68%) were attending lectures, 153 (24.48%) were assigned ward rounds by senior doctors, 9 (30.88%) were taught in other ways, and 24 (3.84%) had no training. To learn about sepsis guidelines, 36.64% of respondents preferred attending lectures, 34.72% chose to study by themselves, and 27.04% preferred listening to senior doctors. Regarding the best way to learn about sepsis guidelines, 42.08% preferred to read by themselves, 41.76% preferred attending lectures, and 14.72% preferred listening to senior doctors. For formulation and implementation of sepsis diagnosis and treatment strategy, >90% of the respondents thought that they needed to rapidly give patients large volumes of fluid replacement but were not satisfied, while 89.6% doctors agreed that rehydration should follow the principle of “use with vasoactive drugs, not too much”. Of the respondents, 61.92% preferred empirical drugs in the use of sepsis antibiotics, 34.56% preferred high-level antibiotics with a wide coverage strategy, 2.4% would choose following instructions by senior doctors, and 0.16% did not know how to choose. Over 70% of the doctors surveyed thought that self-study guide, attending lectures, and senior doctors’ ward rounds were the most important factors affecting drug use, while 47.68% said that the information found on the internet was an important way of guiding drug use.Conclusion: Although the prevalence of sepsis guidelines is high among doctors in tertiary Chinese hospitals, homogeneity of clinical application is poor and greatly affects diagnosis and treatment. Thus, standardized training for sepsis diagnosis and treatment is needed.
Analysis on Impact of Acid Hydrolysis on the Hydrogen Bonding Network in Cellulose to Obtain Microcrystalline Cellulose: A Statistical Approach
Authors: Muthusamy Vishnu Prabha , Krishnakumar Vaideki 
Published: September 2021

Abstract
Hydrolysis of a cellulose biomass results in breaking down the cellulose microfibrils into microcrystalline cellulose (MCC) or nanocrystalline cellulose (NCC) depending on the reaction conditions. Cellulose microfibrils are established robustly due to the synergistic interaction of van der Waals, inter- and intra-molecular hydrogen bonds and glycosidic bond between glucan moieties of cellulose polysaccharide. The hydrogen bonding network plays a crucial role in conforming cellulose chains into crystalline and amorphous region thereby determining its degree of crystallinity. The knowledge of hydrogen bonds in cellulose hence becomes indispensable to understand the crystallinity of cellulose before and after a hydrolysis reaction. However, the nature of hydrogen bonds after hydrolysis and how they contribute to the mechanical properties of resultant MCC/NCC are yet to be realized. This paper is therefore intended to discuss the degree of crystallinity of cellulose particles obtained after hydrolyzing waste cotton fibers (WCF) in two parts: part I, obtaining MCC with maximum total crystallinity index (TCI) by acid hydrolysis of WCF using Box Behnken Design; part II, comparing degree of crystallinity of MCC sample exhibiting highest TCI with that of WCF using analytical tools like X-ray Photoelectron Spectrometer, X-ray Diffractometer and Fourier Transform Infra- Red spectrometer. The physical dimension of MCC particle with maximum TCI has been verified using Field Emission Scanning Electron Microscopic images.
A Five-Immune-Related lncRNA Signature Predicts Survival of Patients With Osteosarcoma
Authors: Huang Jie , Lai Hongyi , Qin Wentao , Bo Zhandong , Tan Zhen , Wu Zhenjie 
Published: September 2021

Abstract
Background: Osteosarcoma (OS) is the most common primary solid malignant bone tumor, and its metastasis is a prominent cause of high mortality in patients.Methods: A risk signature was constructed based on re-annotating the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) data matrix, of the lncRNAs related to OS prognosis and immunity. From the OS transcription data, which is downloaded from the TARGET, the 1126 lncRNAs those harbour co-expressions with immunity genes were selected by Pearson correlation test and later divided into the training set (n=44) and validation set (n=41) with the caret package of R. With the training set we build the model related to Osteosarcoma prognosis by the univariate and multivariate Cox, and the Lasso regression analysis, and in combination with the clinical factors we conducted the multivariate Cox regression analysis to build the 1-year, 3-year and 5-year survival rate nomograms. Afterwards, we validated the ROC and the calibration curve of the subjects with the validation set and the whole dataset. Lastly, we performed functional enrichment analysis with the GSEA, GO and KEGG to figure out the biological functions of the prognosis genes.Results: The training set was performed in univariate and multivariate Cox regression analysis, identifying 25 lncRNAs correlated with prognosis. Eleven lncRNAs were selected by the least absolute shrinkage and selection operator (LASSO) regression for multivariate cox analysis and Kaplan-Meier (KM) survival analysis. Finally, lncRNAs (RP11-69E11.4, SNHG6, MIR210HG, RP11-750H9.5 and CTD-2341M24.1) risk signature was constructed, and the validation set and the whole dataset were used to evaluate the prediction stability and accuracy of the signature. The survival times of high- and low-risk groups were significantly different in the training set, validation set and the whole dataset. Further, function enrichment and gene set enrichment analysis revealed that the lncRNAs in the signature may affect the proliferation, migration, chemotaxis and combination of Osteosarcoma-related immune cells, and involve in every pathways of OS metabolism. Conclusion: The five lncRNAs survival risk signature could potentially predict the prognosis of OS patients, additionally, may provide novel insights for future clinical diagnosis and treatment of OS.
Accumulation and Potential Ecological Risk of Heavy Metals in the Sediments of Rivers System in Beijing-Tianjin Area
Authors: Yuan Shengguang , zhang wenqiang , Li Wenye , Li Zhenhan , Wu Minshan , Shan Baoqing 
Published: September 2021

Abstract
Human activities cause heavy metals to enter the water body and consequently deposit in sediment with slow flow velocity, however little studies have explored the spatial distribution and ecological risk of heavy metals in sediments. The risk, spatial distribution and toxicity of heavy metals in sediment were investigated along the North Canal in the Beijing-Tianjin area. The study revealed that the mean concentrations of heavy metals in sediments exhibited a descending order of Zn > Cr > As > Cu > Pb > Ni > Co > Cd. The average geoaccumulation index (Igeo) value of Cd was highest and ranged from 0.2 to 2.91. Moreover, the greatest contamination of Cd (the Igeo values > 2) was observed in three sampling sites around the Tianjin City. The pollution load index (PLI) of all sampling points were greater than 1, which indicated the inflow of heavy metals originated from anthropogenic sources. The risk index (RI) values of three sampling points were greater than 300, which demonstreated high potential ecological risk. With regards to the toxicity assessment of combined heavy metals, there were two probable effect concentration (PEC) quotient (Qm-PEC) values greater than 0.5 which suggested potential toxicity to certain sediment-dwelling organisms. Identification of the possible sources and factors contributing to the content and spatial distribution of heavy metals could assist in improvement of the water quality, as well as support efficient management strategies to restoration of the environment.
Hyperbaric Oxygen Therapy for the Adjunctive Treatment of Stroke Associated with Post-Cardiac Surgery Due To Native-Valve Endocarditis Infected by Cutibacterium Acnes: A Case Report
Authors: Chen Pei-Ku , Kuo Tzu-Ting , Lin Szu-Ying , Kao Jiang-Hwa , Chen Yen-Wen 
Published: September 2021

Abstract
Background
Stroke is an uncommon but significant complication of cardiac surgery. Cutibacterium (previously known as Propionibacterium) rarely causes infective endocarditis (IE), accounting for approximately 0.3% of all IE cases. Hyperbaric oxygen therapy (HBOT), involving the administration of 100% oxygen at a pressure of > 1.4 atmospheres absolute, increases the partial pressure of oxygen; therefore, it is recommended as an adjunctive treatment for stroke and some infections. However, there are no data supporting HBOT as an adjunctive therapeutic option for ischemic stroke related to post-cardiac surgery due to IE caused by Cutibacterium acnes.
Case presentation:
This study reports the case of an 68-year-old male patient who underwent cardiac surgery for native-valve IE caused by C. acnes. He underwent HBOT on postoperative day 11 for the treatment of ischemic stroke. The patient received 20 sessions of HBOT along with 6-week antimicrobial treatment with ceftriaxone and rehabilitation programs.
Conclusions
We have summarized the patient’s successful recovery and our clinical experience regarding the use of HBOT in our clinical setting. HBOT is an effective adjunctive therapeutic option for ischemic stroke related to post-cardiac surgery due to IE caused by C. acnes.
A Clinical Trial of Cognitive Behavior Therapy for Psychiatric Comorbidity and Quality of Life with Cancer Patients during Chemotherapy (CPdC)
Authors: Abbas Qasir , Arooj Nimra , Baig Khawer Bilal , Khan Muhammad Umer , Khalid Muhammad , Shahzadi Mafia 
Published: September 2021

Abstract
BackgroundCancer is a worldwide common illness, it evokes psychological distress at different stages, during chemotherapy patient perceives a variety of psychiatric symptoms due to various medication side-effects and psychological distress. Studies have shown a significant impact of CBT in the management of psychiatric symptoms during chemotherapy. This study aims to investigate the effectiveness of CBT for depression, anxiety, stress, death anxiety, satisfaction with life, and self-esteem among cancer patients during chemotherapy (CPdC).MethodsPlace and duration of the study: Department of Applied Psychology, Government College University Faisalabad in collaboration with Department of Oncology, Allied Hospital Faisalabad from November 20, 2020 and July 31, 2021. A total of 90 cancer patients were enrolled. 70 out of 90 met the eligibility criteria and 60 participants fulfilled all requirements. Participants were randomly allocated to four different groups. The pre-assessment screening was started along with the first trial of chemotherapy. The CBT-based treatment plan was formulated and one session per week was given to each patient for 3 to 4months. Participants’ age range was 18–65 years (M ± SD = 47.51 ± 12.36. Demographic form, DASS, DAS, SWLS, and RSES measures were used. Descriptive, t-test, and repeated measure ANOVA statistics were used to investigate the findings.ResultsResults indicated significant mean difference on the variable of depression, anxiety and stress across four conditions (i.e. F (2, 56) = 39.55, p < .000, η2 = .679; F(2,56) = 73.32, p < .000, η2 = .797; F(2,56) = 119.77, p < .000, η2 = .865 respectively). On death anxiety significant difference across four conditions was found (F (2,56) = 22.71, p < .000, η2 = .549) with large effect size. Furthermore, findings indicated significant mean difference on the variable of satisfaction with life and self-esteem across four conditions was found (F(2,56) = 22.05, p < .000, η2 = .542; F(2,56) = 36.19, p < .000, η2 = .660) with large effect size.ConclusionIt is concluded that CBT played a very effective role to reduce depression, anxiety, and stress-related psychiatric symptoms. CBT reduces the level of death anxiety and improving the quality of life and level of self-esteem among CPdC.Trial Registration: The study trial was registered in the Thai Clinical Trial Registry-TCTR (TCTR20201113002).
A deformed model for N-type four-level atom and a single mode field system in the presence of the Kerr medium
Authors: Abdel-Wahab N.H. , Abdel-Khalek S. , Khalil E.M. , Alshehri Nawal 
Published: September 2021

Abstract
The aim of this paper is to study the interaction between a single mode field and four-level atom in N - configuration under nonlinear medium effect. The non-resonance case and the deformation forms in the coupling interaction between the field and the atom are included. The wave function of the proposed system is obtained when the atom is prepared initially in its excited state while the field is prepared in a coherent state. The effect of the deformation and nonlinear medium on the temporal behavior of collapse-revival, field entropy and geometric phase of the system are examined. The results show that the presence of the intensity of the coupling interaction and the non-linear medium have an important influence on the properties of these phenomena.
Ankle-Brachial Index: A Simple and Inexpensive Screening Test for Coronary Artery Disease (ABI Goes Beyond the Foot) Running Title: ABI for Coronary Artery Disease Screening
Authors: Vafa Reza Golchin , Zamiri Bardia , Rahmani Mohammadhossein , Parizi Mohammad javad Mehdizadeh , Heydarzadeh Reza , Ahmadi Amin , Montaseri Mohammad , Kojuri Javad 
Published: September 2021

Abstract
Background: Coronary artery disease (CAD) is the leading cause of death in the world. To prevent CAD we need to assess the risk of future CAD. Systems for risk assessment has its own limitations. In this study we assessed ankle-brachial index (ABI) as a screening tool for CAD.Method: Between 2019 and 2020, we conducted a large cross-sectional population-based study of 4207 new patients referred to cardiovascular Clinic. The patients underwent selective coronary angiography via radial artery approach by an expert interventional cardiologist. ABI was calculated for all patients. We compared ABI with the results of coronary angiography to determine the specificity and sensitivity of ABI as a screening tool for CAD. Results: Abnormal ABI was significantly more frequent in patients with proven severe CAD (893, 54.8%) than in patients with proven mild CAD (33, 4.7%) or no CAD (94, 5.3%). The specificity of ABI was 95.3%, and its sensitivity was 54.8%. ABI was associated with risk factors such as smoking, male gender, hypertension, diabetes mellitus and dyslipidemia. There was no relationship between abnormal inter-arm systolic pressure difference and severity of CAD, but it showed a significant association with abnormal ABI.Conclusion: ABI can be used as a screening test to rule out CAD with 95.3% specificity. We need to consider risk factors other than ABI to increase screening sensitivity. A multidimensional scoring system should consider risk factors and other noninvasive tests in addition to ABI to develop and ideal screening system for CA. (Clinical trial registration number NCT04667832)
Coronaviruses with a SARS-CoV-2-like receptor-binding domain allowing ACE2-mediated entry into human cells isolated from bats of Indochinese peninsula
Authors: Temmam Sarah , Vongphayloth Khamsing , Salazar Eduard Baquero , Munier Sandie , Bonomi Max , Régnault Béatrice , Douangboubpha Bounsavane , Karami Yasaman , Chretien Delphine , Sanamxay Daosavanh , Xayaphet Vilakhan , Paphaphanh Phetphoumin , Lacoste Vincent , Somlor Somphavanh , Lakeomany Khaithong , Phommavanh Nothasin , Pérot Philippe , Donati Flora , Bigot Thomas , Nilges Michael , Rey Félix , Werf Sylvie van der , Brey Paul , Eloit Marc 
Published: September 2021

Abstract
The animal reservoir of SARS-CoV-2 is unknown despite reports of various SARS-CoV-2-related viruses in Asian Rhinolophus bats, including the closest virus from R. affinis, RaTG13. Several studies have suggested the involvement of pangolin coronaviruses in SARS-CoV-2 emergence. SARS-CoV-2 presents a mosaic genome, to which different progenitors contribute. The spike sequence determines the binding affinity and accessibility of its receptor-binding domain (RBD) to the cellular angiotensin-converting enzyme 2 (ACE2) receptor and is responsible for host range. SARS-CoV-2 progenitor bat viruses genetically close to SARS-CoV-2 and able to enter human cells through a human ACE2 pathway have not yet been identified, though they would be key in understanding the origin of the epidemics. Here we show that such viruses indeed circulate in cave bats living in the limestone karstic terrain in North Laos, within the Indochinese peninsula. We found that the RBDs of these viruses differ from that of SARS-CoV-2 by only one or two residues, bind as efficiently to the hACE2 protein as the SARS-CoV-2 Wuhan strain isolated in early human cases, and mediate hACE2-dependent entry into human cells, which is inhibited by antibodies neutralizing SARS-CoV-2. None of these bat viruses harbors a furin cleavage site in the spike. Our findings therefore indicate that bat-borne SARS-CoV-2-like viruses potentially infectious for humans circulate in Rhinolophus spp. in the Indochinese peninsula.
SENP3 Promotes Bladder Cancer Proliferation and EMT Transformation by Affecting the Expression of PYCR1 via DeSUMOylation of STAT3
Authors: Li Zhuo , Liu Jian , Fu Huifeng , Li Yuanwei , Lu Qaing , Song Wei , Zeng Mingqiang 
Published: September 2021

Abstract
Abnormal activation of signal transducer and activator of transcription 3 (STAT3) has been found in various types of human cancers, including bladder cancer (BC). In our study, we examined the regulation of STAT3 post-translational modifications (PTMs) and found that SENP3 is high in bladder cancer. SENP3 and STAT3 were highly expressed in BC tissues when compared with tissue adjacent to carcinoma. SENP3 induced STAT3 protein level and p-STAT3 translocating into nuclear through deSUMOylation of STAT3. Further, nuclear STAT3, as a transcriptional activity factor, promoted pyrroline-5-carboxylate reductase 1 PYCR1 gene and protein level by interacting with the promoter of (PYCR1). Next, we found that knockdown of PYCR1 inhibited Epithelial to mesenchymal transition of bladder cancer, and simultaneously mitigated the carcinogenic effects of STAT3. In vitro, STAT3 knockdown in bladder cancer cells inhibited cell proliferation, migration, and invasion. In contrast, SENP3 overexpression reversed these effects. In all, results lend novel insights into the regulation of STAT3, which has key roles in bladder cancer progression.
Effect of Dihydropyridine Calcium-Channel Blocker on Adverse Aortic Events After Thoracic Endovascular Aortic Repair for Type B Aortic Dissection
Authors: Yang Fan , Chen Lyufan , Liu Jitao , Luo Songyuan , He Caiyun , Ma Wentao , Xie Enmin , Yang Xinyue , Zeng Hongke , Geng Qingshan , Luo Jianfang 
Published: September 2021

Abstract
Objectives: This study aimed to evaluate the effect of dihydropyridine calcium-channel blocker (CCB) on adverse aortic events (AAE) in patients undergoing thoracic endovascular aortic repair (TEVAR) for type B aortic dissection (TBAD). Methods: A retrospective study was conducted on patients undergoing TEVAR of TBAD from January 2010 to December 2017 in our center. Patients were divided into CCB group and non-CCB group according to the postoperative dihydropyridine CCB use. AAE including aorta-relative mortality and reintervention, were compared between these two groups. Propensity score matching analysis was performed to avoid the potential effect of known confounders.Results: Before matching, the study cohort comprised 548 patients, including 435 (79.4%) and 113 (20.6%) patients in the CCB and non-CCB groups, respectively. After matching, 101 patients in each group were eligible for the analysis. In the unmatched cohort, AAE occurred in 52 (12.0%) and 29 (25.7%) patients in the CCB and non-CCB groups, respectively (P < 0.001). In the matched cohort, AAE occurred in 8 (7.9%) and 22 (21.8%) patients in the CCB and non-CCB groups, respectively (P = 0.013). Log-rank test analysis revealed that the levels of freedom from AAE were significantly different between the 2 groups in both the unmatched and matched cohorts (P < 0.001 and P = 0.007, respectively). Multivariable analysis showed that CCB use (hazard ratio 0.50, 95% confidence interval 0.32–0.80; P = 0.003) was associated with a lower AAE rate after adjustment for other variables, and was minimally changed after the propensity score matching (HR 0.34, 95% CI 0.15–0.75; P = 0.008).Conclusions: Postoperative dihydropyridine CCB use is protective in patients undergoing TEVAR for acute and sub-acute TBAD.
Fault diagnosis method of mine hoist braking system based on deep convolution neural network
Authors: Yan Fangyuan , Li Juanli , Miao Dong , Cao Qi 
Published: September 2021

Abstract
A reliable braking system is an important guarantee for safe operation of mine hoist. In order to make full use of the monitoring data in the operation process of mine hoist, identify the operation status of the hoist, and further carry out fault diagnosis on it, the deep learning method was introduced into the fault diagnosis of the hoist, and a fault diagnosis method of hoist braking system based on convolution neural network has been proposed. Firstly, the working principle and fault mechanism of disc brake and its hydraulic station in hoist braking system are analyzed, and the monitoring parameters of this study are determined; then, based on massive monitoring data, the convolutional neural networks (CNN) is established, the one-dimensional signal collected by the sensor is transformed into two-dimensional image for coding, the neural network is trained by gradient descent method, and the network structure parameters are modified according to the training results. Finally, the fault diagnosis model is compared and verified by using the sample set based on the traditional back propagation neural network (BP) and CNN. The results show that the accuracy of CNN is higher than that of BP, and the accuracy rate can reach 99.375% after reducing the involvement between samples. This method can make full use of the monitoring data for diagnosis, without subjective intervention of experts, and improve the accuracy of diagnosis.