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The tasks of distributed on-board multi-RTs (remote terminals) system are mainly distributed based on functions,while the burstiness of data processing tasks often leads to unbalanced load among different computers.Using a flexible load scheduling mechanism can effectively adjust the load difference between different computers,thereby improving the overall performance of the computer system to a certain extent.A load scheduling algorithm for distributed on-board RTs system based on machine learning is proposed in this paper,which includes four steps:sample collection,task throughput prediction model construction,throughput prediction and load scheduling.In the process of constructing the task throughput prediction model,the weight of the model is obtained through the linear regression normal equation of machine learning,which reduces the time spent in constructing the model.In the load scheduling link,if the total throughput rate of RTs is greater than the total load data volume of the system,data will be allocated to each RT in proportion to the throughput rate;otherwise,only a certain amount of data will be allocated to RTs whose load data volume is less than their own throughput rate.The test results on the ground simulation system constructed by multiple on-board computers electrical performance products show that the algorithm can increase the average CPU utilization rate of all nodes of the system by 23.78%,and reduce the variance of CPU utilization rate between nodes to 34.59%.The total system throughput of the task is significantly increased by 225.97%.In other words,this method can effectively improve system resource utilization while ensuring system load balance,and improve the real-time data processing performance of the on-board computer system.

The study aimed to analyze the applicability of the World Health Organization's exclusionary guidelines for Urinary creatinine (Ucr) in the general Chinese population, and to identify Ucr related factors. We conduct a cross-sectional study using baseline data from 21,167 participants in the China National Human Biomonitoring Program. Mixed linear models and restricted cubic splines (RCS) were used to analyze the associations between explanatory variables and Ucr concentration. The geometric mean and median concentrations of Ucr in the general Chinese population were 0.90 g/L and 1.01 g/L, respectively. And 9.36% samples were outside 0.3–3.0 g/L, including 7.83% below the lower limit and 1.53% above the upper limit. Middle age, male, obesity, smoking, higher frequency of red meat consumption and chronic kidney disease were associated significantly with higher concentrations of Ucr. Results of the RCS showed Ucr was positively and linearly associated with body mass index, inversely and linearly associated with systolic blood pressure, diastolic blood pressure, triglycerides level, and glomerular filtration rate, and were non-linearly associated with triiodothyronine. The age- and gender-specific cut-off values of Ucr that determine the validity of urine samples in the general Chinese population were recommended. To avoid introducing bias into epidemiologic associations, the potential predictors of Ucr observed in the current study should be considered when using Ucr to adjust for variations in urine dilution. [ABSTRACT FROM AUTHOR]

Chemotherapeutic agents and photosensitizers often suffer from poor tumor selectivity, high side toxicity, or low water solubility. To address these problems, various drug delivery systems (DDS) have been explored but most of them are toxic, difficult to synthesize, or of single function. In order to design a highly biocompatible, conveniently prepared, multi-functional drug delivery system, herein, an aptamer of vascular endothelial growth factor (VEGF) and a cytosine (C)-DNA fragment were grafted on the surface of superparamagnetic iron oxide nanoparticles (SPION), and then a chemotherapeutic agent daunomycin (DNM) and a photosensitizer 5, 10, 15, 20-tetra (phenyl-4-N-methyl-4-pyridyl) porphyrin (TMPyP) were self-assembled with the hybridized VEGF-based DNA structure. By loading DNM and TMPyP, the DDS displayed strong chemotherapeutic/phototherapeutic capability against cancer cells via mechanisms such as mitochondrial dysfunction and ROS elevation, which triggered the apoptosis of the tumor cells. The dual delivery of chemotherapeutical agents and photosensitizers with aptamer/C-rich DNA successfully integrated the functions of pH stimuli-responsive drug release and chemotherapeutic/phototherapeutic modalities into one single system and thus could be considered as an ideal drug delivery vehicle with great potential in clinic. [ABSTRACT FROM AUTHOR]

The nucleic acid stain SYBR Gold can be used in combination with digital image analysis and flow cytometry to measure viruses in aquatic environments. Estimates produced by this technique were higher than those produced by epifluorescence microscopy and transmission electron microscopy.