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The significant effects on the treatment of severe carotid stenosis by carotid endarterectomy have been widely recognized. However, it is controversial whether patients with severe contralateral carotid stenosis or occlusion (SCSO) can benefit from carotid endarterectomy surgery. This study aimed to estimate the SCSO effects on early outcomes after carotid endarterectomy with selective shunting.<br /><br /> Between August 2011 and October 2019, a total of 617 patients who underwent carotid endarterectomy with selective shunting were analyzed. SCSO was defined as &gt;70% luminal narrowing of the contralateral extracranial carotid stenosis or occlusion. Of these patients, 116 were categorized into an SCSO group while the rest were assigned to the non-SCSO group. Primary study outcomes were the occurrence of major adverse events, defined as stroke, all-cause mortality, and myocardial infarction during the perioperative period after carotid endarterectomy. Traditional multivariable logistic regression model and logistic f 30-day major adverse events. Whether these patients with SCSO are suitable for carotid endarterectomy should be carefully considered.The COVID-19 pandemic in Egypt is a part of the worldwide global crisis of coronavirus 2 (SARS-CoV-2). The contagious life-threatening condition causes acute respiratory syndrome. The present study aimed to assess the compounds identified by LC-MS of the methanolic leaves extracts from three conifers trees cultivated in Egypt (Araucaria bidwillii, Araucaria. cunninghamii and Araucaria heterophylla) via docking technique as potential inhibitor of COVID-19 virus on multiple targets; viral main protease (Mpro, 6LU7), non-structural protein-16 which is a methyl transferase (nsp16, 6W4H) and RNA dependent RNA polymerase (nsp12, 7BV2). Among the three targets, nsp16 was the best target recognized by the tested compounds as can be deduced from docking studies. Moreover, the methanolic extract of A. cunninghamii showed the highest radical-scavenging activity using (DPPH test) with 53.7 µg/mL comparable to ascorbic acid with IC50 = 46 µg/mL The anti-inflammatory potential carried using enzyme linked immunoassay showed the highest activity for A. cunninghamii and A. bidwillii followed by A. heterophylla with IC50 = 23.20 ± 1.17 µg/mL, 82.83 ± 3.21 µg/mL and 221.13 ± 6.7 µg/mL, respectively (Celecoxib was used as a standard drug with IC50 = 141.92 ± 4.52 µg/mL). Moreover, a molecular docking study was carried for the LC-MS annotated metabolites to validate their anti-inflammatory inhibitory effect using Celecoxib as a reference compound and showed a high docking score (-7.7 kcal/mol) for Octadecyl (E) P-coumarate and (-7.3 kcal/mol) for secoisolariciresinol rhamnoside.Communicated by Ramaswamy H. Sarma.Osteosarcoma is the most common primary bone malignancy. We aim to investigate that role of M-phase phosphoprotein 8 (MPP8) on proliferation and apoptosis in osteosarcoma. Briefly, the current research reported an in vitro study investigating the role MPP8 in OS tumorigenesis. Consequently, we found that the MPP8 expression was upregulated in osteosarcoma tissues and in osteosarcoma cell lines. Interestingly, MPP8 knockdown via shRNA restrained the cell viability and proliferation of U2OS and Saos-2 cells. In addition, MPP8 knockdown promoted the apoptosis of U2OS and Saos-2 cells, while MPP8 overexpression promotes proliferation and inhibited the cell apoptosis of osteosarcoma cells. These results suggested that MPP8 may serve as a contributor for osteosarcoma growth and inhibition of MPP8 may help restrain the development of osteosarcoma. Importantly, we found that MPP8 overexpression suppressed the protein levels of HOXA5, p38αMAPK, increased cell proliferation and inhibited cell apoptosis, while co-transfection with HOXA5 overexpression suppressed the cell proliferation and increased cell apoptosis. These results indicated that MPP8 contributed to cell proliferation and the underlying mechanism might be involved with HOXA5/ p38αMAPK pathway.Gaps in knowledge related to occupational stress among the intimate partner violence (IPV) and sexual assault (SA) workforce remain. This study examined associations between key risk factors for occupational stress and compassion fatigue among a sample of IPV/SA service providers in the Southwestern United States (N = 520). Results of the hierarchical regression analysis identified microaggressions, age, recent life stress, direct practice, and workload as factors associated with compassion fatigue. The findings point to the importance of incorporating trauma-informed organizational approaches to address microaggressions, reduce workload, and support staff experiencing recent stress and providing direct services.Cervical cancer is one of the most malignant tumors in women, particularly those in rural and remote areas. Its underlying molecular mechanisms, including the functions of non-coding RNA (ncRNAs), require more extensive investigation. In this study, high throughput transcriptome sequencing (RNA-seq) was used to identify differentially expressed lncRNAs and mRNAs in normal, cervical intraepithelial neoplasia and cervical cancer tissues from Uyghur women in western China. Dysregulated lncRNAs were found to extensively participate in cervical cancer development, including viral carcinogenesis, cell cycle and cytokine-cytokine receptor signaling. Two miRNA-host lncRNAs, LINC00925 and MIR155HG, showed elevated expression in cervical cancer samples, but prolonged the survival time of cervical cancer patients. The 2 mature miRNAs of the above 2 lncRNAs, miR-9 and miR-155, also showed similar features in cervical cancer. In addition, we identified 545 lncRNAs with potential functions in regulating these 2 miRNAs as competing endogenous RNAs (ceRNAs). In summary, our study demonstrated the dysregulated lncRNAs/miRNAs, particularly LINC00925/miR-9 and MIR155HG/miR-155, regulate the development of cervical cancer by forming a interaction network with mRNAs, highlighting the importance of elucidating the underlying mechanisms of ncRNAs in cervical cancer development.<br /><br /> Bone metastasis is a leading cause of the high mortality rate of prostate cancer (PCa), but curative strategies remain lacking. Recent studies suggest long non-coding RNAs (lncRNAs) may be potential targets to develop drugs. However, PCa bone metastasis-specifically-related lncRNAs were rarely reported. This study aimed to identify crucial lncRNAs and reveal their function mechanisms.<br /><br /> GSE32269 and GSE26964 microarray datasets, downloaded from the Gene Expression Omnibus database, were used to analyze differentially expressed genes (DEGs)/lncRNAs (DELs) and miRNAs (DEMs), respectively. Weighted gene co-expression network analysis was performed to screen PCa bone metastasis-associated modules. The co-expression and competing endogenous RNAs (ceRNAs) networks were constructed to identify hub lncRNAs. Univariate Cox regression analysis was conducted to determine their prognostic values. The correlation of lncRNAs with immune infiltrating cells was analyzed by using Tumor IMmune Estimation Resource. Therapeuti to treat PCa bone metastasis and improve prognosis.<br /><br />HCG18 and MCM3AP-AS1 that regulate M2 macrophage infiltration may be important targets to treat PCa bone metastasis and improve prognosis.The study examined the utility of surrogate measures of athletic performance to determine locomotor qualities (maximal aerobic velocity and peak velocity) in elite Australian Football (AF). 29 professional AF players undertook aerobic fitness (3km time-trial [TT] and 30-15 Intermittent Fitness Test [30-15 IFT]) and peak velocity (PV; 50 m maximal sprints using 10Hz GPS) assessments in pre-season. Characteristics of TT performance (mean velocity, 500m and 1km splits) were compared with a surrogate for maximal aerobic velocity (MAV; 80% of 30-15 IFT final velocity). PVs derived from sprint tests were compared to those attained in AF matches (10 Hz GPS). Higher Pearson correlations were observed between MAV versus the fastest 500m (r = 0.74) and 1km (r = 0.75) of the 3km TT, but they were not superior to mean velocity (r = 0.72; p ≥ 0.30) which also demonstrated the lowest bias (p ≤ 0.01) and equivalent typical errors (0.16-0.17 m.s-1). Peak velocity was higher across match observations (0.28, CI ± 0.17 m.s -1, p = 0.017) versus sprint tests. [https://www.selleckchem.com/products/RO4929097.html selleck chemicals] There was no impact of playing position on the determination of locomotor qualities using surrogate measures of locomotor qualities. Locomotor qualities can be determined practically using 10Hz GPS devices during 3km time-trials and competitive matches (assuming appropriate signal quality), without additional fitness assessments.Sustainable planning of waste management is contingent on reliable data on waste characteristics and their variation across the seasons owing to the consequential environmental impact of such variation. Traditional waste characterization techniques in most developing countries are time-consuming and expensive; hence the need to address the issue from a modelling approach arises. In modelling the complexity within the system, a paradigm shift from the classical models to the intelligent models has been observed. The application of artificial intelligence models in waste management is gaining traction; however its application in predicting the physical composition of waste is still lacking. This study aims at investigating the optimal combinations of network architecture, training algorithm and activation functions that accurately predict the fraction of physical waste streams from meteorological parameters using artificial neural networks. The city of Johannesburg was used as a case study. Maximum temperature, minimum temperature, wind speed and humidity were used as input variables to predict the percentage composition of organic, paper, plastics and textile waste streams. Several sub-models were stimulated with combination of nine training algorithms and four activation functions in each single hidden layer topology with a range of 1-15 neurons. Performance metrics used to evaluate the accuracy of the system are, root mean square error, mean absolute deviation, mean absolute percentage error and correlation coefficient (R). Optimal architectures in the order of input layer-number of neurons in the hidden layer-output layer for predicting organic, paper, plastics and textile waste were 4-10-1, 4-14-1, 4-5-1 and 4-8-1 with R-values of 0.916, 0.862, 0.834 and 0.826, respectively at the testing phase. The result of the study verifies that waste composition prediction can be done in a single hidden-layer satisfactorily.Objective. The current study examined the effects of clinical factors (i.e., treatment type, history of cerebellar mutism) as well as environmental factors (i.e., family environment) as predictors of cognitive and psychosocial outcomes in children treated for posterior fossa tumors.Method. Twenty-seven children/adolescents treated for posterior fossa tumors (treatment type radiation [n = 12], surgery [n = 15]; history of mutism yes [n = 7], no [n = 20]) and n = 13 healthy controls, aged 8-17 years, and their caregivers completed measures assessing cognitive and psychosocial functioning, as well as the family environment (i.e., parental education, family functioning, family psychiatric history). Hierarchical linear regression analyses were conducted to examine the role of clinical factors and the family environment as predictors of cognitive and psychosocial outcomes. Family environment was also examined as a moderator of clinical factor group differences in outcomes.Results. Regression analyses revealed lower intelligence scores among the radiation group compared to the control group, lower verbal memory scores among both treatment groups compared to the control group, and a significant positive effect of parental education on verbal memory scores.