bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship Between Factors Associated with Incidence of Medical Error in Iran
Authors: Estahbanati Ehsan Ahsani , Bevrani Hossein , Doshmangir Leila 
Published: August 2021

Abstract
Background

Providing safe, efficient, and quality services to all people is critical for achieving effective universal health coverage and the health-related sustainable development goals (SDGs) and in particular SDG 3.8. Medical error as a main challenge of delivery systems is a main influential factor on patient safety and quality of health care services. Investigating factors influencing on medical errors can help to improve quality patient safety. This study aimed to investigate the relationship between several contributed factors on incidence of medical errors in East Azarbaijan province, Iran.
Methods

We conducted a cross-sectional study, resulting in 10700 voluntary reporting of medical errors by medical staff working in all types of hospitals including public and non-educational, educational, private, military, charity and social security hospitals. Poisson regression was used for data analysis.
Results

The most frequency of medical errors reported by 41 studied hospitals was related to educational public hospitals, medical errors with no harm in the fall and the least frequency was related to non-educational public hospitals and surgical errors in the spring season. As the results show, spring and summer have a significantly lower incidence of medical error compared to winter (P < 0.001). Also, the incidence of medical error in the morning shift was significantly higher than the night shift (P < 0.001). According to the results, the incidence of errors with the consequence of near miss, no harm was significantly higher than the sentinel event error.
Conclusions

The results of the present study showed that the factors, different season, work shift, medical error type, medical error intensity and hospital type have a significant relationship with the incidence of medical error.
Identification of Potential Biomarkers in Synovial Tissue of Rheumatoid Arthritis via Integrated Microarray Analysis. Identification of Biomarkers of Rheumatoid Arthritis
Authors: Tao Li , Xiong ChaoLiang , Xue Li 
Published: August 2021

Abstract
Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovitis and subsequent destruction of cartilage and bone. This study aimed to explore RA-related gene markers and the underlying molecular mechanism.Material and Methods: The expression profiles of GSE77298, GSE55235 and GSE12021 were obtained from the Gene Expression Omnibus database. Then, the differential gene expression analysis was conducted between GSE77298 and GSE55235 datasets. Limma package and a Venn diagram were utilized to screen the overlapping differentially expressed genes (DEGs), and Functional enrichment and pathway analysis were performed by using DAVID database. Subsequently, a protein-protein interaction (PPI) network was established, and candidate hub genes were recognized by using STRING and Cytoscape software. Finally, another dataset (GSE12021) was used for the validation of diagnostic value of the candidate hub genes and to identify real hub genes by using receiver operating characteristic (ROC) curves.Results: A total of 385 DEGs were detected, which include 19 downregulated genes and 366 upregulated genes. GO and KEGG pathway analysis showed that DEGs was mainly enriched in various immune and inflammatory response-related functions and pathways. The PPI network was composed of 374 nodes and 767 edges. A total of 8 real hub genes (HLA-DRA, HLA-DRB1, LCK, VAV1, HLA-DPA1, HLA-DPB1, C3AR1 and CD3D) which displayed an excellent diagnostic value for RA were identified.Conclusion: these findings may provide novel and reliable biomarkers for RA, which have some interesting implications for early diagnosis, prognosis and targeted therapy.
Effects of PPARγ agonist on the polarization of microglia around hematoma after intracerebral hemorrhage in male rats
Authors: Xu Yingning , Mu Qiong , Xue Fengfeng 
Published: August 2021

Abstract
Objective: To study the effect of PPARγ agonist (rosiglitazone) on the polarization of microglia around the hematoma after intracerebral hemorrhage in male SD rats. Materials and Methods: A total of 48 male SD rats were divided into a normal group (Control), the intracerebral hemorrhage model group (ICH), the sodium chloride intervention group (NaCl), and the rosiglitazone intervention group (RSG).ICH model of male rats was established by autologous blood. The neurological function of all groups of male rats was scored at 6, 24, 48, and 72h after modeling. The expression of CD16 (M1 marker) and CD206 (M2 marker) in the peripheral tissues of hematoma was detected by immunohistochemistry and Western blot. Results: Longa scores of the ICH and RSG group were significantly higher than those of the Control group and NaCl group at each time (P < 0.05). The RSG group's Longa score at 6, 24, and 48h was lower than that of the ICH group (P < 0.05). In the ICH group and RSG group, CD16 reached its peak at 6h and then decreased; the expression level of CD16 in the RSG group was lower than that in the ICH group at 6h (P < 0.05). The CD206 reached a peak at 24h; however, the expression level of CD206 in the RSG group was higher than in the ICH group (P < 0.05). Conclusion: PPARγ agonist stimulates the activation of M2 microglia , enhancing the ability to remove hematoma microglial cells.
Germin Like Protein Genes Exhibit Modular Expression During Salt and Drought Stress in Elite Rice Cultivars
Authors: Anum Jazba , O’Shea Charlotte , Hyder M Zeeshan , Farrukh Sumaira , Skriver Karen , Malik Saad Imran , Yasmin Tayyaba 
Published: August 2021

Abstract
Germin-like proteins (GLPs) are ubiquitous plant proteins, which play significant role in plant responses against various abiotic stresses. However, the potential functions of GLPs in rice (Oryza Sativa) against salt and drought stress are still unclear. In this study, transcriptional variation of 8 OsGLP genes (OsGLP3-6, OsGLP4-1, OsGLP8-4, OsGLP8-7, OsGLP8-10, OsGLP8-11 and OsGLP8-12) was analyzed in leaves and roots of two economically important Indica rice cultivars, KS282 and Super Basmati under salt and drought stress at early seedling stage. The relative expression analysis from qRT-PCR indicated the highest increase in expression of OsGLP3-6 in leaves and roots of both rice varieties with a significantly higher expression in KS282. Moreover, relative change in expression of OsGLP8-7, OsGLP8-10 and OsGLP8-11 under salt stress and OsGLP8-7 under drought stress was also commonly higher in leaves and roots of KS282 as compared to Super Basmati. Whereas, OsGLP3-7 and OsGLP8-12 after salt stress and OsGLP8-4 and OsGLP8-12 after drought stress were observed with higher relative expression in roots of Super Basmati than KS282. Importantly, the OsGLP3-6 and OsGLP4-1 from chromosome 3 and 4 respectively showed higher expression in leaves whereas most of the OsGLP genes from chromosome 8 exhibited higher expression in roots. Overall, as a result of this comparative analysis, OsGLP genes showed both general and specific expression profiles depending upon a specific rice variety, stress condition as well as tissue type. These results will increase our understanding of role of OsGLP genes in rice crop and provide useful information for the further in-depth research on their regulatory mechanisms in response to these stress conditions.
Recoverable Water-soluble Polyethylene Glycol-immobilized N-hydroxyphthalimide Mediated Oxidation of Cellulose in the Presence of NaBr and NaClO
Authors: Wang Huimin , Wang Xiaoying , Sun Tingting , Li Peixin , Chu Xiaomeng , Xing Xuteng , Liu Shaojie , Tang Erjun 
Published: August 2021

Abstract
As a highly efficient nitroxide radical catalyst for selective catalytic oxidation of cellulose, N-hydroxyphthalimide (NHPI) has attracted much attention because of its low price and light cellulose degradation. However, NHPI is insoluble in water and is difficult to recycle because of its small molecular weight. To address the above issues, the water-soluble polyethylene glycol (PEG)-immobilized NHPI catalyst (PEG-NHPI) was designed and prepared in this work. Fourier transform infrared spectroscopy (FT-IR), nuclear magnetic resonance spectroscopy (NMR), gel permeation chromatography (GPC) and UV-vis light spectroscopy were used to characterize PEG-NHPI. The results showed that PEG-NHPI catalysts with good water solubility and adjustable NHPI loading amounts were successfully synthesized. Using NaBr as promoter and NaClO as oxidant, PEG-NHPI mediated oxidation of cellulose was carried out and good catalytic performance was found. The catalytic performance of PEG-NHPI mediated oxidation of cellulose in water was higher than that in acetonitrile-water. The carboxyl content of PEG-NHPI oxidized cellulose could reach the level of free NHPI oxidized cellulose, and was equivalent to 68% of 2,2,6,6-tetramethyl-1-piperidinyloxy (TEMPO) oxidized cellulose, while the degradation degree of cellulose was greatly reduced by more than 40%. The catalytic performance did not decrease significantly after six oxidation cycles. The structure of recycled PEG-NHPI was not changed. These results indicated that immobilizing NHPI onto PEG can achieve the unification of high catalytic performance and good recyclability.
Health Beliefs and Behaviors of Livestock Industry Workers Regarding Crimean-Congo Hemorrhagic Fever in Northwest of Iran
Authors: Abazari Malek , Adham Davoud , Saghafipour Abedin , Taheri-Kharameh Zahra , Abbasi-Ghahramanloo Abbas , Asadollahi javad , Pouya Amin Babaei , Moradi-Asl Eslam 
Published: August 2021

Abstract
Background: Crimean-Congo hemorrhagic fever (CCHF) is an acute, feverous disease that is caused by tick bites or humans’ direct contact with the blood and tissues of infected livestock and humans. The transmission of the disease is also possible via human-to-human contacts and nosocomial transmission is well described. The majority of patients suffering from this disease are slaughterhouse workers (including butchers), farmers, veterinarians and hospital staff. Thus, this study aimed to investigate the health behaviors of butchers regarding CCHF and study factors affecting such behaviors based on the health belief model.Methods: This is a descriptive cross-sectional study conducted on 500 butchers in Ardabil Province in 2020 by a multistage sampling method. The participants of the study completed the researcher-made questionnaire of health belief model and health behaviors model relevant to CCHF. The collected data were then analyzed by descriptive statistical tests and linear regression analysis. Results: The mean (SD) age of the participants was 44.4 (10.5) years, and 96% were males. Only 11.1% of the participants displayed acceptable disease-preventive behaviors. The validity and reliability of the developed questionnaire were confirmed. The results of the exploratory factor analysis showed that the constructs of the model explained 84% of the total variance. The results of the study revealed that among the variables of the health belief model, perceived susceptibility (p-value = 0.006, β = 0.152) and perceived barriers (p-value = 0.023, β = 0.14) were the strongest factors predicting disease-preventive behaviors regarding CCHF.Conclusion: The results of the study showed that the health belief model can predict preventive behaviors for CCHF. Therefore, designing and executing interventions based on the results of this study may encourage such preventive behaviors in butchers.
Exploring Spatiotemporal Change of City and Village from Remote Sensing Using Multi-Branch Networks
Authors: Zhao Mengqi , Tian Yan 
Published: August 2021

Abstract
With the rapid development of social economy, the urban and rural environment, form and infrastructure have also under- gone earth-shaking changes. As a gathering place for human activities, urban and rural areas play a vital role in the interaction between humans and society. If traditional machine learning methods are used to perceive changes in the intentional connotation of urban and rural areas, it is easy to ignore the detailed information of the intentional target. At the same time, the perception accuracy needs to be improved. Therefore, the deep neural network in this paper proposes a way to perceive the temporal and spatial changes of urban and rural intentional connotations from the perspective of remote sensing. The framework first uses the multi-branch DenseNet to capture the multi-scale spatiotemporal information of the intended target, and embeds it with high-level semantics and low-level physical appearance information. Secondly, a multi-branch cross-channel attention module is designed to perform reﬁned and integrated processing of multi-level spatiotemporal information to realize the aggregation of multi-branch information. Finally, it was tested and verified on two different time data sets, and good performance was achieved.
Stability of SARS-CoV-2 on Cold-chain Food
Authors: Liu Yongjian , Li Tianyi , Guo Yaolin , Li Hanping , Jia Lei , Zhang Dong , Wang Xiaolin , Han Jingwan , Li Lin , Li Jingyun 
Published: August 2021

Abstract
Although close exposure to respiratory droplets from an infected patient is the main transmission route of SARS-CoV-2, touching contaminated surfaces and objects might also contribute to transmission of this virus. There are increasing reports that cold-chain food and food packages have been tested with SARS-CoV-2, raising concerns that importation of contaminated food could be a source for transmission of SARS-CoV-2. The survival of SARS-CoV-2 on cold-chain food was investigated. We found SARS-CoV-2 remained viable for more than three weeks on both beef and mutton at 4°C. Furthermore, at freezing temperature, SARS-CoV-2 can easily survive for more than eight weeks. Our study showed the ability of SARS-CoV-2 to survive for a long time on cold-chain food at low temperatures.
Detection of Martian Dust Storms Using Mask-Regional Convolutional Neural Networks
Authors: Alshehhi Rasha , Gebhardt Claus 
Published: August 2021

Abstract
Martian dust plays a crucial role in the meteorology and climate of the Martian atmosphere. It heats the atmosphere, enhances the atmospheric general circulation, and affects spacecraft instruments and operations. Compliant with that, studying dust is also essential for future human exploration. In this work, we present a method for the deep-learning-based detection of the areal extent of dust storms in Mars satellite imagery. We use a mask regional convolutional neural network (R-CNN), consisting of a regional-proposal network (RPN) and a mask network. We apply the detection method to Mars Daily Global Maps (MDGMs) of the Mars Global Surveyor (MGS) Mars Orbiter Camera (MOC). We use center coordinates of dust storms from the eight-year Mars Dust Activity Database (MDAD) as ground-truth to train and validate the method. The performance of the regional network is evaluated by the average precision score with 50% overlap (mAP50), which is around 62.1%.
External Lumbar Drainage for Refractory Intracranial Hypertension in Traumatic Brain Injury: A Systematic Review
Authors: Stevens Andrew Robert , Soon Wai Cheong , Chowdhury Yasir Arafat , Toman Emma , Belli Antonio , Davies David James 
Published: August 2021

Abstract
BackgroundExternal lumbar drainage remains a controversial therapy for medically refractory intracranial hypertension in patients with acute TBI. This systematic review sought to compile the available evidence for the efficacy and safety of the use of lumbar drains for ICP control. MethodsA systematic review of the literature was performed with the search and data extraction performed by two reviewers independently in duplicate.ResultsNine independent studies were identified enrolling 230 patients, 159 with TBI. Efficacy for ICP control was observed across all studies, with immediate and sustained effect, reducing medical therapy requirements. Lumbar drainage with medical therapy appears effective when used alone and as an adjunct to ventricular drainage. Safety reporting varied in quality. Cerebral herniation (with unclear relationship to lumbar drainage) was observed in 14/230 patients resulting in one incident of morbidity without adverse patient outcome. ConclusionsThe available data is generally poor in quality and volume, but supportive of efficacy of lumbar drainage for ICP control. Few reports of adverse outcome are suggestive of, but are insufficient to confirm, safety of use in the appropriate patient and clinical setting. Further large prospective observational studies are required to generate sufficient support of an acceptable safety profile.
Biotransformations of HBCDs by Rhodococcus Strain Stu-38 and Identification of Transformation Products
Authors: Yu Fei , Luo Wenqi , Li Yuyang , Meng Shanshan , Lin Xianbin , Li Lele , Ye Xueying , Wang Hui , Peng Tao , Huang Tongwang , Hu Zhong 
Published: August 2021

Abstract
1, 2, 5, 6, 9, 10-Hexabromocyclododecanes (HBCDs) are new brominated flame retardants causing serious environmental pollution. Dozens of degradative bacteria have been found with capacity to transform HBCDs. In the present study, an aerobic functional bacterium Rhodococcus strain stu-38 was isolated from enriched culture of mangrove sediment using HBCDs as carbon source. This strain could stereoselectively transform HBCDs, the removal rate was α-＞γ-＞β-HBCD in the mineral salt medium, but was β-＞α- and γ-HBCD in the growth medium, and it selectively transformed γ- HBCD in the seawater. Transformation rate of strain stu-38 was lower than other functional strains, however, seven potential debrominated products of HBCDs were identified by using GC-MS. These debrominated products, included dibromocyclododecadiene, bromocyclododecadienol and bromocyclododecatriene were formed through reductive debromination, hydrolytic debromination and dehydrobromination. Overall, Rhodococcus sp. stu-38 diastereoisomer-specifically transformed HBCDs to various debrominated products in the different cultural media, which highlighted the complicated stereoselective biotransformation of HBCDs.
Integrative Analyses of Genes and miRNAs Associated With Age-Related Sarcopenia
Authors: Lee Sangyeob , Yoo Jun-Il 
Published: August 2021

Abstract
Background: Sarcopenia is an age-related disease with skeletal muscle loss, weakness, and functional impairment. The potential causes of sarcopenia including the programmed cell death of muscles, inflammation, reactive oxygen species, protein turnover, and mitochondrial dysfunction have been studied. The purpose of this study was to find differentially expressed miRNAs (DE-miRNAs) in the muscle samples of older people (GSE23527). In addition, we performed to identify new miRNA-mRNA regulatory network for treating sarcopeniaMethods: Gene expression profiles were obtained from microarray datasets (GSE8479 and GSE1428) of the vastus lateralis muscles of young and older male subjects. Dataset GSE23527 was derived from the platform of GPL10358 (LC_MRA-1001_miRHuman_11.0_080411) and contained microRNA arrays of 12 young muscle samples and 12 older muscle samples. The DEGs between the older and young GSE8479 and GSE1428 samples were identified using the online analysis tool imaGEO (https://imageo.genyo.es). Pathway and process enrichment analysis with the ontology sources in the KEGG pathway, GO biological processes, Reactome gene sets, WikiPathways, and CORUM were analyzed by Metascape. A PPI (protein-protein interaction) network of DEGs was constructed using the Search Tool for Retrieval of Interacting Genes (STRING) app in Cytoscape software (version 1.6.0). GEO2R (https://www.ncbi.nlm.nih.gov) was used to select differentially expressed miRNAs (DE-miRNAs) in the GSE 23527 dataset.Results: In the GSE8479 and GSE1428 datasets, a total of 81 DEGs were discovered, including four upregulated genes and 77 downregulated genes. The top 12 clusters and their representative enriched terms were identified using Metascape. A total of 79 nodes and 186 edges were predicted in the PPI network. One upregulated DE-miRNA (hsa-miR-450a-5p) and six downregulated DE-miRNAs (hsa-miR-127-3p, hsa-miR-24-2-5p, hsa-miR-378a-5p, hsa-miR-532-5p, hsa-miR-487b-5p, and has-miR-487b-3p) were selected in the miRBase database. The MiRWalk online database was utilized for exploring 8017 genes that were selected as genes regulated by DE-miRNAs and six of them overlapped with hub genes. COX7A1 and NDUFB5 showed significantly low expression in sarcopenia patients compared to the controls. COX7B and PDHA1 also displayed low expression in sarcopenia patients, but expression of COX7A1 and NDUFB5 was not significant. TIMM8A and CS showed similar expression rates in both samples.Conclusions: The present bioinformatics analysis showed that two target genes (COX7A1 and NDUFB5) were potentially downregulated in sarcopenia patients. These two genes could be the cause of sarcopenia with aging. In addition, present study showed that several miRNAs (hsa-miR-378a-5p, hsa-miR-532-5p, hsa-miR-127-3p, and hsa-miR-24-2-5p) were identified as regulating the target genes. These results suggest that controlling the identified miRNAs could be a prospective strategy for treating sarcopenia by regulating the mRNA-miRNA network.
Solanesol Mediated SIRT-1 Signaling Activation Prevents Neurobehavioral and Neurochemical Defects in Ouabain-induced Experimental Model of Bipolar Disorder in Rats
Authors: Rajkhowa Bidisha , Mehan Sidharth 
Published: August 2021

Abstract
Bipolar disorder (BD) is a serious and widespread chronic mental condition characterized by mood swings ranging from depressive lows to manic highs. Several studies have linked SIRT-1 (silent mating type information regulation-2 homologs) signalling downregulation to the progression of BD and other neurological dysfunctions. The purpose of this study was to investigate the neuroprotective potential of solanesol(SNL) in rats with brain intoxication caused by intracerebroventricular (ICV) injections of ouabain(OUA), with a particular focus on its influence on the SIRT-1 signaling activator in the brain. The goal of this study was to investigate the neuroprotective potential of Solanesol (SNL) in rats treated with ICV-OUA injection, with a special emphasis on its effect on the SIRT-1 signalling activation in the brain. Ouabain (OUA) is a cardiac glycoside that inhibits the Na+/K+-ATPase (sodium-potassium adenosine triphosphatase). SNL is an active phytoconstituent belongs to the Solanaceae family, derived from the plant Nicotiana tabacum. SNL is employed as a precursor for the production of CoQ10 (Coenzyme Q10), which has potent antioxidant and neuroprotective properties. Lithium (Li), an important mood stabiliser drug employed as a control in the present study. This study looked at the neuroprotective potential of SNL at doses of 40 and 80 mg/kg in ICV-OUA injections, which caused BD-like neurobehavioral deficits in Wistar rats. Wistar rats were divided into eight groups (n=8) and given 1 mM/0.5 l OUA injections for three days. Long-term SNL and lithium administration can reduce the number of rearing and crossings and time spent in the centre, locomotive activity, and immobility time. According to the findings of this study, SNL increases the levels of SIRT-1 in CSF, blood plasma, and brain homogenate samples. In addition, SNL modulates the apoptotic markers like Caspase-3, Bax (pro-apoptotic), and Bcl-2 (anti-apoptotic) in rat brain homogenates and blood plasma samples. Mitochondrial-ETC complexes enzymes including complex-I, II, IV, V, and CoQ10 were also resorted after the long term administration of SNL. Furthermore, SNL reduced inflammatory cytokines (TNF-α, IL-1β) while restoring neurotransmitter (serotonin, dopamine, glutamate, and acetylcholine) levels and level of oxidative stress markers. Our neurochemical observations could be validated as diagnostic biomarkers in BD-like conditions. As a result, SNL as SIRT-1 signaling activator could be a promising therapeutic target for the treatment of BD.