Biocatalytic Buoyancy‑Driven Nanobots for Autonomous Cell Recognition and Enrichment

Autonomously self-propelled nanoswimmers represent the nextgeneration nano-devices for bio-and environmental technology.However,current nanoswimmers generate limited energy output and can only move in short distances and duration,thus are struggling to be applied in practical challenges,such as living cell transportation.Here,we describe the construction of biodegradable metal-organic framework based nanobots with chemically driven buoyancy to achieve highly efficient,long-distance,directional vertical motion to“find-and-fetch”target cells.Nanobots surface-functionalized with antibodies against the cell surface marker carcinoembryonic antigen are exploited to impart the nanobots with specific cell targeting capacity to recognize and separate cancer cells.We demonstrate that the self-propelled motility of the nanobots can sufficiently transport the recognized cells autonomously,and the separated cells can be easily collected with a customized glass column,and finally regain their full metabolic potential after the separation.The utilization of nanobots with easy synthetic pathway shows considerable promise in cell recognition,separation,and enrichment.

MRS and diffusion tensor image in mild traumatic brain injuries

Objective:To analyze characters of magnetic resonance spectroscopy(MRS) and diffusion tensor imaging(DTI) in the diagnosis of mild trauma brain injuries(MTBI) in frontal lobe and to compare with conventional magnetic resonance imaging(MRI).Methods:A total of 21 patients were selected,who all aged 12-51 years old and had injury within 24 hours.Computer tomography (CT) and the Glasgow Coma Scale were used to evaluate the degree of injury.All patients were diagnosed as MTBI,and 19 had conventional MRI,MRS and DTI.The major parameters of MRS were Probe-P sequence,TE= 144 or 35 ms,and both single voxel spectrum and chemical shift imging were included.The major parameters of DTI were diffusion directions =15,b value = 1000 s/mm^2. Frational anisotropic(FA) map and average ADC map were obtained to evaluate DTI result. Positive deletion ratio was observed and the imaging changes were compared between injured side and normal side.Results:All 21 patients had CT scan and Glasgow scale.A total of 19 patients had conventional MRI.DTI and MRS.Results of CT and conventional MRI showed no significant abnormality in lobe,and Glasgow scale showed mild type.MRS result showed significant decrease in N-acetyl aspartate(NAA) and NAA/creatine(Cr) in 13 cases(68.4%) (P【0.001),and increase in lactic acid(Lac) in 7 cases(36.8%).FA mapping of the frontal lobe displayed significant changes in 7 cases(36.8%),with 5 out of the 7 cases having increase in FA value.And there was no significant difference in average ADC.Conclusions:MRS and DTI might be more sensible than other methods,such as CT and conventional MRI in diagnosis of MTBI.The particular changes were reduced NAA and increased Lac for MRS.and increased FA values for DTI.

Visualization Analysis for Business Performance of Chinese Listed Companies Based on Gephi

When conducting company performance evaluations,the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market.Gephi is an efficient tool for data analysis and visualization in the era of big data.It can convert the evaluation results of all listed companies into nodes and edges,and directly display them in the form of graphs,thus making up for the defects of traditional methods.This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object.First uses tushare and web crawlers to collect the financial statement data of these companies.And then,uses the Economic Value Added model to calculate the EVA of each listed company and build graph data.Next,import the graph data into gephi to generate the distribution graph of all listed companies’performance,and summarize the distribution characteristics of business performance.Finally,select a listed company that you want to analyze in detail,using the traditional DuPont analysis method to conduct micro level visualization analysis of the business performance to find the main factors affecting the company’s operating performance.Incorporating gephi into traditional performance analysis methods will make the results of traditional analytical methods more effective and complete.

On Visualization Analysis of Stock Data

Big data technology is changing with each passing day,generating massive amounts of data every day.These data have large capacity,many types,fast growth,and valuable features.The same is true for the stock investment market.The growth of the amount of stock data generated every day is difficult to predict.The price trend in the stock market is uncertain,and the valuable information hidden in the stock data is difficult to detect.For example,the price trend of stocks,profit trends,how to make a reasonable speculation on the price trend of stocks and profit trends is a major problem that needs to be solved at this stage.This article uses the Python language to visually analyze,calculate,and predict each stock.Realize the integration and calculation of stock data to help people find out the valuable information hidden in stocks.The method proposed in this paper has been tested and proved to be feasible.It can reasonably extract,analyze and calculate the stock data,and predict the stock price trend to a certain extent.

Tree Ring‑Inspired Fibrous Helix for UV Shielding and Warning Based on Photo‑electricity‑Acoustic Energy Conversion

Flexible wearable ultraviolet(UV)shielding,monitoring and warning devices have important applications in civil and mili-tary fields.However,most flexible wearable UV devices show unsatisfactory performance due to their poor stability and easy failure at large strains.Herein,inspired by tree rings,we engineered a hierarchical composite nanofibrous helix with an alternately stacked Archimedes spiral structure via a cost-effective strategy.Based on a photo-electricity-acoustic energy conversion system,we fabricated an all-in-one device exhibiting strain-insensitive UV protection at 0–500%strain for UV shielding as well as strain-sensitive UV monitoring at 500–1500%strain for UV early warning.Compared with previously reported common nanofibrous membrane devices,the as-prepared composite nanofibrous helix shows great advantages in terms of stability and UV protection,especially at large strains.Furthermore,the helix demonstrates multiple functions of wear resistance,antibacterial properties,biodegradation and knittability.This versatile strategy holds great promise for wearable electronics and multifunctional devices.

Ephedrine hydrochloride inhibits PGN-induced inflammatory responses by promoting IL-10 production and decreasing proinflammatory cytokine secretion via the PI3K/Akt/GSK3β pathway

Approaches for controlling inflammatory responses and reducing the mortality rate of septic patients remain clinically ineffective; new drugs need to be identified that can induce anti-inflammatory responses. Ephedrine hydrochloride （EH） is a compound that is widely used in cardiovascular diseases, especially to treat hypotension caused by either anesthesia or overdose of antihypertensive drugs. In this study, we reported that EH also plays an important role in the control of the inflammatory response. EH increased IL-IO and decreased proinflammatory cytokine （IL-6, tumor-necrosis factor （TNF）-a, IL-12 and IL-11~） expression in primary peritoneal macrophages and Raw264.7 cells treated with peptidoglycan （PGN）, a Gram-positive cell wall component. The anti-inflammatory role of EH was also demonstrated in an experimental mouse model of peritonitis induced by intraperitoneal PGN injection. The phosphatidylinositol 3-kinase （PI3K）/Akt pathway was found to be responsible for the EH-mediated increase in IL-IO production and decrease in IL-6 expression. Therefore, our results illustrated that EH can help maintain immune equilibrium and diminish host damage by balancing the production of pro- and anti-inflammatory cytokines after PGN challenge. EH may be a new potential anti-inflammatory drug that can be useful for treating severe invasive Gram-positive bacterial infection.

Numerical simulation of spray performance based on the Euler-Lagrange Approach

Numerical simulations have been carded out to investigate the liquid atomization and spray process using theDiscrete Phase Model of the commercial CFD code combined with the Wall-Film boundary conditions. The effectsof spray parameters on droplets Santer mean diameter (SMD), droplet collision speed, the thickness of liquid-film,the surface temperature and its uniformity were analyzed in the present study. The simulation results andthe experimental data obtained in the available literature agree within 13.8%. The computational results show thatthe spray pressure is the main factor to realize the atomization. Increasing the mass flux and the spray pressure,the droplet collision speed increases while the corresponding maximum film thickness on the heated surface declines.The surface temperature changes indistinctively with the increase of the spray distance, but the temperaturedistribution tends to be uniform.

Measurement of muon-induced neutron yield at the China Jinping Underground Laboratory

Solar,terrestrial,and supernova neutrino experiments are subject to muon-induced radioactive background.The China Jinping Underground Laboratory(CJPL),with its unique advantage of a 2400 m rock coverage and long distance from nuclear power plants,is ideal for MeV-scale neutrino experiments.Using a 1-ton prototype detector of the Jinping Neutrino Experiment(JNE),we detected 3 43 high-energy cosmic-ray muons and(7.86±3.97)muon-induced neutrons from an 820.28-day dataset at the first phase of CJPL(CJPL-I).Based on the muon-induced neutrons,we measured the corresponding muon-induced neutron yield in a liquid scintillator to be(3.44±1.86_(stat.)±0.76_(syst.))×10^(-4) μ^(-1)g^(-1)cm^(2) at an average muon energy of 340 GeV.We provided the first study for such neutron background at CJPL.A global fit including this measurement shows a power-law coefficient of(0.75±0.02) for the dependence of the neutron yield at the liquid scintillator on muon energy.