QUANTITATIVE CONTROL OF OPTICAL CLEARING EFFECTS STUDIED WITH TISSUE-LIKE PHANTOM

Tissue optical clearing by use of optical clearing agents(OCAs)has been proven to have potential to reduce the highly scattering effect of biological tissues in optical techniques.However,the difference in tissue samples could lead to unreliable results,making it difficult to quantitatively control the dose of OCAs during the course of tissue optical clearing.In this work,in order to study the effects of optical clearing,we customized tissue-like phantoms with optical properties of some biological tissue.Diffuse reflectance and total transmittance of tissue-like phantoms with different OCAs(DMSO or glycerol)and porcine skin tissues were measured.Then optical property parameters were calculated by inverse adding-doubling(IAD)algorithm.Results showed that OCAs could lead to a reduction in scattering of tissue-like phantoms as it did to porcine skin tissue in vitro.Furthermore,a series of relational expressions could be fit to quantitatively describe the relationship between the doses of OCAs and the reduction of scattering effects.Therefore,proper tissue-like phantom could facilitate optical clearing to be used in quantitative control of tissue optical properties,and further promote the application potential of optical clearing to light-based noninvasive diagnostic and therapeutic techniques.

Identification of Quantitative Trait Loci Controlling Seed Physical and Nutrient Traits in Cotton

Cotton(Gossypium spp.) is the leading fiber crop,and an important source of the important edible oil and protein meals in the world.Complex genetics and strong environmental effects hinder

Recursive Zero-COVID model and quantitation of control efforts of the Omicron epidemic in Jilin province

Since the beginning of March 2022,the epidemic due to the Omicron variant has developed rapidly in Jilin Province.To figure out the key controlling factors and validate the model to show the success of the Zero-COVID policy in the province,we constructed a Recursive Zero-COVID Model quantifying the strength of the control measures,and defined the control reproduction number as an index for describing the intensity of interventions.Parameter estimation and sensitivity analysis were employed to estimate and validate the impact of changes in the strength of different measures on the intensity of public health preventions qualitatively and quantitatively.The recursive Zero-COVID model predicted that the dates of elimination of cases at the community level of Changchun and Jilin Cities to be on April 8 and April 17,respectively,which are consistent with the real situation.Our results showed that the strict implementation of control measures and adherence of the public are crucial for controlling the epidemic.It is also essential to strengthen the control intensity even at the final stage to avoid the rebound of the epidemic.In addition,the control reproduction number we defined in the paper is a novel index to measure the intensity of the prevention and control measures of public health.

Binary Decision Diagram Quantitative Analysis Method Based on Fuzzy Set Theory

A binary decision diagram(BDD) is a data structure that is used to represent a Boolean function.Converting fault tree into BDD can effectively simplify counting processes and improve the accuracy and effectiveness of the results. However, due to various types of uncertainties in reliability data, we cannot obtain precise failure probabilities. In order to accurately quantify the certainties and obtain much more reliable results, we use BDD method based on fuzzy set theory for reliability quantitative analysis. In this regard, we take W-axis feeding system of heavy-duty computer numerical control(CNC) machine as a project example and adopt fuzzy BDD quantitative analysis method to analyze its reliability. The analysis results(aided by computer calculation)illustrate the effectiveness of the method proposed in this paper.

Simultaneous Determination of 10 Anthraquinones in Rhubarb Based on HPLC-Q-HR/MS

Objective To develop a simple, sensitive, and precise method for simultaneous determination of 10 anthraquinones in Rhubarb. Methods HPLC-Q-HR/MS was employed for simultaneous quantification of free anthraquinones（aloe-emodin, emodin, chrysophanol, physcion, and rhein） and their glycosides. Chromatographic analysis was performed on an XBridge^（TM） C_（18） column（2.1 mm × 150 mm, 5 μm） with mobile phases consisting of 3 mmol/L ammonium acetate（A） and methanol（B） at a flow rate of 0.3 mL/min. Results All calibration curves exhibited good linear relationship（R^2 〉 0.999）. The limits of detection（LOD） and quantification（LOQ） were in the range of0.39-2.97 ng/mL and 0.56-8.90 ng/mL, respectively. The overall intra-and inter-day precisions of analytes presented as relative standard deviations（RSDs） were less than 2.79%. Relative recoveries varied between 97.83% and 104.28%. The validated method was applied to assess the quality of Rhubarb collected from different regions of China. Results showed that chrysophanol and rhein-8-O-β-D-glucoside was the largest portion of free anthraquinones and anthraquinone glycosides in Rhubarb, respectively. The total content of anthraquinones was higher in Rhubarbs from Sichuan, Qinghai, Yunnan, and Gansu provinces than that in those from Shandong and Henan provinces, while no significant variability existed in different regions of the same province.Conclusion HPLC-Q-HR/MS method is accurate and reliable for simultaneous quantification of above free anthraquinones and their glycosides in Rhubarb and can be applied to standardize the quality of Rhubarb and its quality control in different regions.