Explore the vast range of titles available.

To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. SOSK-Means incorporates several key modifications to enhance the clustering process.Firstly, a weighted jump-bank approach is introduced to enable efficient random sampling and preclustering. By incorporating weights and jump pointers, this approach improves the quality of initial centers and reduces sensitivity to their selection. Secondly, we utilize a weighted max-min distance with variance to calculate distances, considering both weight and variance information. This enables SOSK-Means to identify clusters that are farther apart and denser, enhancing clustering accuracy. The selection of the best initial centers is performed using the mean square error criterion. This ensures that the initial centers better represent the distribution and structure of the dataset, leading to improved clustering performance. During the iteration process, a novel distance comparison method is employed to reduce computation time, optimizing the overall efficiency of the algorithm. Additionally, SOSK-Means incorporates a Directed Acyclic Graph (DAG) to optimize performance through distributed strategies, leveraging the capabilities of the Spark framework. Experimental results show that SOSK-Means significantly improves computational speed while maintaining high computational accuracy.

In recreant years, the attention of researchers has been focused on enhancing the electrical outputs of energy harvesting devices. This study reports the generation and characterization of electrospun polyvinylidene fluoride (PVDF) nanofiber webs obtained from different solvents (Acetone (ACE), ACE: N, N-dimethylformamide (DMF) /3:1, ACE: DMF/1:1, ACE: DMF/1:3, and DMF). These electrospun webs will be used as active layers for piezoelectric nanogenerator (PENG). We found that fibers electrospun using DMF have the highest phase content (F(β)), while fibers electrospun using ACE have the lowest one. Furthermore, the results show that PENG based on fiber web electrospun using DMF has the highest electrical outputs, whereas, the lowest electrical outputs were for PENG based on fiber web electrospun using ACE. We believe this work can serve as a good reference for investigating the effect of solvent systems on diameters of fibers, crystalline phases, and piezoelectric properties.

Aortic dissection (AD) is a life-threatening disease and the detailed mechanism remains unclear. Thus, proper animal models are urgently required to better understand its pathogenesis. Our current study aims to establish a reliable, time and cost-effective mouse AD model. To conduct the meta-analysis, we searched PubMed for related studies up to 2021 and statistical analysis was conducted using Review Manager 5.4. For the animal experiment, 6-week-old male ApoE −/− mice were given β-aminopropionitrile (BAPN) at a concentration of 1 g/L for 3 weeks before being infused with saline, 1000 ng/kg/min or 2500 ng/kg/min angiotensin II (AngII) via osmotic mini pumps for 2 or 4 weeks. To determine the presence of AD, we performed B-ultrasonography, hematoxylin and eosin (H&E) staining, and van Gieson staining. The result of the meta-analysis showed that the use of BAPN and more than 2000 ng/kg/min AngII can increase the rate of AD formation, whereas administrating Ang II for more than 28 days has no significant effect on the rate of AD formation when compared with the less than 14 days group. In the present study, mice treated with BAPN combined with 2500 ng/kg/min AngII for 2 weeks (12/20) had a significantly higher AD formation rate than mice treated with BAPN combined with 1000 ng/kg/min Ang II for 4 weeks (2/10), and had a similar model formation rate compared with the mice treated withβ-aminopropionitrile combined with 2500 ng/kg/min AngII for 4 weeks (6/10). There were 3 mice (3/10) and 6 mice (6/20) who died in the group treated with β-aminopropionitrile combined with 2500 ng/kg/min AngII for 4 weeks and 2 weeks respectively, and only one mouse (1/10) died in the group treated with β-aminopropionitrile combined with 1000 ng/kg/min AngII for 4 weeks. In 6-week-old male ApoE −/− mice that received with 1 g/L BAPN in the drinking water for 3 weeks along with 2500 ng/kg/min AngII infusion via osmotic mini pumps for 2 weeks, the highest model formation rate and relative lower cumulative mortality were noted.

BackgroundThe lymphocyte-to-high-density lipoprotein (HDL) ratio (LHR) is associated with both inflammation and immunity, and may have the potential to predict the prognosis of sepsis. Our study aimed to evaluate the relationship between LHR and sepsis-related mortality.MethodsWe collected data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 2.2) database by targeting patients who met the Sepsis-3 criteria and recorded the absolute values of lymphocytes and HDL after admission. We then used restricted cubic splines based on logistic regression to simulate the relationship between the LHR and 90-day mortality. Subsequently, the hazardous threshold was derived based on the mortality curve, and further evaluations were performed using different methods and data sources for hazardous threshold.ResultsWe ultimately included 1027 eligible patients from the MIMIC-IV database and described the nonlinear relationship between LHR and 90-day mortality. Based on the curve, an LHR of ≤ 0.6 indicated harmful threshold, and the odds ratio for mortality was 1.74 ( P =0.001). The outperforming hazard was particularly marked in patients with chronic lung disease and remained consistent after adjusting for baseline data and validating multiple data sources.ConclusionsThe LHR has prognostic value in patients with sepsis, and an LHR ≤ 0.6 is a deleterious load that increases mortality.

Background The effects of diastolic arterial pressure (DAP) and heart rate (HR) on the prognosis of patients with septic shock are unclear, and whether these effects persist over time is unknown. We aimed to investigate the relationship between exposure to different intensities of DAP and HR over time and mortality at 28 days in patients with septic shock. Methods In this cohort study, we obtained data from the Medical Information Mart for Intensive Care IV, which includes the data of adult patients (≥ 18 years) with septic shock who underwent invasive blood pressure monitoring. We excluded patients who received extracorporeal membrane oxygenation (ECMO) or glucocorticoids within 48 h of ICU admission. The primary outcome was mortality at 28 days. Piece-wise exponential additive mixed models were used to estimate the strength of the associations over time. Results In total, 4959 patients were finally included. The median length of stay in the ICU was 3.2 days (IQR: 1.5–7.1 days), and the mortality in the ICU was 12.9%, with a total mortality at 28 days of 15.9%. After adjustment for baseline and time-dependent confounders, both daily time-weighted average (TWA) DAP and HR were associated with increased mortality at 28 days and strong association, mainly in the early to mid-stages of the disease. The results showed that mortality in patients with septic shock was lowest at a DAP of 50–70 mm Hg and an HR of 60–90 beats per minute (bpm). Throughout, a significant increase in the risk of death was found with daily exposure to TWA-DAP ≤ 40 mmHg (hazard ratio 0.99, 95% confidence interval (CI) 0.94–1.03) or TWA-HR ≥ 100 bpm (hazard ratio 1.16, 95% CI 1.1–1.21). Cumulative and interactive effects of harmful exposure (TWA-DAP ≤ 40 mmHg and TWA-HR ≥ 100 bpm) were also observed. Conclusion The optimal ranges for DAP and HR in patients with septic shock are 50–70 mmHg and 60–90 bpm, respectively. The cumulative and interactive effects of exposure to low DAP (≤ 40 mmHg) and tachycardia (≥ 100 bpm) were associated with an increased risk of death.

Background Macrophage polarization exacerbates the pathological processes of osteoarthritis (OA). Astragalus membranaceus (AM) can repair chondrocytes and serve as a protective agent for OA. Therefore, the study intended to identify macrophage polarization-related genes (MPRGs) in the treatment of OA with AM. Methods We utilized data from GSE57218 as training set, while GSE117999 serves as a validation set, all obtained from Gene Expression Omnibus(GEO). The MPRGs were exported from the Molecular Signatures Database. Target genes of AM were obtained by network pharmacology. Differentially expressed genes (DEGs) were identified in OA vs. control groups. Then key module genes were acquired through weighted gene co-expression network analysis (WGCNA) and intersected with DEGs and target genes of AM to obtain candidate genes. Subsequently, the candidate genes were further screened for hub genes by machine learning, receiver operating characteristic (ROC) curve analysis, and expression validation. Further, reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR) was applied to verify the mRNA expression levels of hub genes. In addition, the mechanism of these hub genes was investigated through enrichment analysis, immune microenvironment analysis, regulatory network construction, and molecular docking. Results Ultimately, 1,430 DEGs, 4,577 key module genes, and 486 target genes of AM were intersected to derive 28 candidate genes. After machine learning, ROC curve analysis and expression validation, CREBBP and PIM3 were identified. The mRNA expression of tissue CREBBP and PIM3 was significantly decreased in OA compared with the control group. Furthermore, the enrichment analysis indicated that eight pathways, including oxidative phosphorylation, were simultaneously enriched by two hub genes. Microenvironment analysis revealed negative correlations between both hub genes and 11 differential immune cells. We identified that CREBBP and PIM3 were regulated by 6 miRNAs (e.g., hsa-mir-942-5p) and 79 transcription factors (TFs) (e.g., IRF1). Molecular docking experiments indicated that isoflavone strongly bound to CREBBP, while (3R)-3-(2-hydroxy-3,4-dimethoxyphenyl) chroman-7-ol exhibited significant binding affinity for PIM3, suggesting that these two active ingredients were core components of AM in treating OA via hub genes. Conclusion This study identified CREBBP and PIM3 as potential focal points for the treatment of OA with AM, providing valuable clues to help treat and predict OA. Clinical trial number Not applicable.

Background The mitochondrial gene MCCC2, a subunit of the heterodimer of 3-methylcrotonyl-CoA carboxylase, plays a pivotal role in catabolism of leucine and isovaleric acid. The molecular mechanisms and prognostic value still need to be explored in the context of specific cancers, including colorectal cancer (CRC). Methods In vitro and in vivo cell-based assays were performed to explore the role of MCCC2 in CRC cell proliferation, invasion, and migration. Mitochondrial morphology, membrane potential, intracellular reactive oxygen species (ROS), telomerase activity, and telomere length were examined and analyzed accordingly. Protein complex formation was detected by co-immunoprecipitation (CO-IP). Mitochondrial morphology was observed by transmission electron microscopy (TEM). The Cancer Genome Atlas (TCGA) CRC cohort analysis, qRT-PCR, and immunohistochemistry (IHC) were used to examine the MCCC2 expression level. The association between MCCC2 expression and various clinical characteristics was analyzed by chi-square tests. CRC patients’ overall survival (OS) was analyzed by Kaplan–Meier analysis. Results Ectopic overexpression of MCCC2 promoted cell proliferation, invasion, and migration, while MCCC2 knockdown (KD) or knockout (KO) inhibited cell proliferation, invasion, and migration. MCCC2 KD or KO resulted in reduced mitochondria numbers, but did not affect the gross ATP production in the cells. Mitochondrial fusion markers MFN1, MFN2, and OPA1 were all upregulated in MCCC2 KD or KO cells, which is in line with a phenomenon of more prominent mitochondrial fusion. Interestingly, telomere lengths of MCCC2 KD or KO cells were reduced more than control cells. Furthermore, we found that MCCC2 could specifically form a complex with telomere binding protein TRF2, and MCCC2 KD or KO did not affect the expression or activity of telomerase reverse transcriptase (TERT). Finally, MCCC2 expression was heightened in CRC, and patients with higher MCCC2 expression had favorable prognosis. Conclusions Together, we identified MCCC2 as a novel mediator between mitochondria and telomeres, and provided an additional biomarker for CRC stratification.

The delivery of encapsulated islets or stem cell-derived insulin-producing cells (i.e., bioartificial pancreas devices) may achieve a functional cure for type 1 diabetes, but their efficacy is limited by mass transport constraints. Modeling such constraints is thus desirable, but previous efforts invoke simplifications which limit the utility of their insights. Herein, we present a computational platform for investigating the therapeutic capacity of generic and user-programmable bioartificial pancreas devices, which accounts for highly influential stochastic properties including the size distribution and random localization of the cells. We first apply the platform in a study which finds that endogenous islet size distribution variance significantly influences device potency. Then we pursue optimizations, determining ideal device structures and estimates of the curative cell dose. Finally, we propose a new, device-specific islet equivalence conversion table, and develop a surrogate machine learning model, hosted on a web application, to rapidly produce these coefficients for user-defined devices. Transplanting encapsulated insulin-producing cells may achieve a functional cure for type 1 diabetes, but efficacy is constrained by mass transfer limits. Here, the authors report a dynamic computational platform to investigate the therapeutic potency of such programmable bioartificial pancreas devices.

We aimed to explore the effects of perioperative exercise on cardiorespiratory endurance in children with congenital heart disease (CHD) in plateau areas after surgical repair. Fifty children with CHD in the plateau admitted to our hospital were randomly divided into the exercise and control groups. The exercise group received a perioperative exercise intervention beginning within 24 h postoperatively, while the control group received routine nursing and treatment alone. To assess the 6 min walk distance (6MWD) at baseline and at end of intervention, children participated in a 6-min walk test before cardiac repair and at 1 week after general ward transfer. A subset of children in the study underwent the cardiopulmonary exercise test pre-operatively. The 6MWD of children with CHD at baseline was positively correlated with the peak oxygen uptake pre-operatively. No significant difference was reported in the preoperative baseline data of both groups. The 6MWD of the exercise group was significantly higher than that of the control group. Early exercise therapy after cardiac repair could significantly improve the cardiorespiratory endurance and exercise capacity of children with CHD in plateau areas.

It is well-recognized that diabetes represents a powerful independent risk factor for cardiovascular diseases. However, very few studies have investigated the relationship between diabetes and risk of aortic dissection (AD). The aim of this case-control study was to evaluate the association between diabetes and risk of AD in Chinese population. A hospital-based case-control study, consisting of 2160 AD patients and 4320 controls, was conducted in a Chinese population. Demographic, clinical characteristics and risk factors were collected. Diabetes rate of patients with overall AD, Stanford type A AD and type B AD group was compared with that of corresponding matched control groups. Logistic regression analysis was used to estimate the odds ratios (OR) and 95% confidence intervals (95% CI) for relationship between diabetes and AD risk. The prevalence of diabetes was lower in AD cases than that of control subjects, whether it is the overall AD, type A AD or type B AD group (4.7% vs. 10.0%, 2.9% vs. 8.8%, 5.9% vs. 10.9%, all P<0.001). Furthermore, in multivariate model, diabetes was found to be associated with lower AD risk, which not only applies to the overall AD (OR = 0.2, 95%CI: 0.15-0.26), but also type A AD (OR = 0.12, 95% CI: 0.07-0.20) and type B AD (OR = 0.25, 95%CI: 0.18-0.33). We observed the paradoxical inverse relationship between DM and risk of AD in the Chinese population. These results suggest diabetes may play a protective role in the development of AD. However, further studies are needed to enrich related evidence, especially with regard to underlying mechanisms for these trends.