Therapeutic effect and anti-biofilm ability assessment of a novel phage, phiPA1-3, against carbapenem-resistant Pseudomonas aeruginosa.

Multiple drug-resistant (MDR) Pseudomonas aeruginosa commonly causes severe hospital-acquired infections. The gradual emergence of carbapenem-resistant P. aeruginosa has recently gained attention. A wide array of P. aeruginosa-mediated pathogenic mechanisms, including its biofilm-forming ability, limits the use of effective antimicrobial treatments against it. In the present study, we isolated and characterized the phenotypic, biological, and genomic characteristics of a bacteriophage, vB_PaP_phiPA1-3 (phiPA1-3). Biofilm eradication and phage rescue from bacterial infections were assessed to demonstrate the efficacy of the application potential. Host range spectrum analysis revealed that phiPA1-3 is a moderate host range phage that infects 20% of the clinically isolated strains of P. aeruginosa tested, including carbapenem-resistant P. aeruginosa (CRPA). The phage exhibited stability at pH 7.0 and 9.0, with significantly reduced viability below pH 5.0 and beyond pH 9.0. phiPA1-3 is a lytic phage with a burst size of 619 plaque-forming units/infected cell at 37 °C and can effectively lyse bacteria in a multiplicity of infection-dependent manner. The genome size of phiPA1-3 was found to be 73,402 bp, with a G+C content of 54.7%, containing 93 open reading frames, of which 62 were annotated as hypothetical proteins and the remaining 31 had known functions. The phage possesses several proteins similar to those found in N4-like phages, including three types of RNA polymerases. This study concluded that phiPA1-3 belongs to the N4-like Schitoviridae family, can potentially eradicate P. aeruginosa biofilms, and thus, serve as a valuable tool for controlling CRPA infections.

[Pollution Assessment and Source Analysis of Heavy Metals in Atmospheric Deposition in a Lead-zinc Smelting City Based on PMF Model].

To explore the pollution characteristics and sources of heavy metals in atmospheric deposition in a typical lead-zinc smelting city, 511 effective atmospheric deposition samples from 22 points in different functional areas of a city in Henan Province were collected monthly during 2021. The concentrations and spatial-temporal distribution of heavy metals were analyzed. The geo-accumulation index method and health risk assessment model were utilized to evaluate the heavy metal pollution degree. The sources of heavy metals were quantitatively analyzed using a positive matrix factorization (PMF) model. The results showed that the average concentrations of ω(Pb), ω(Cd), ω(As), ω(Cr), ω(Cu), ω(Mn), ω(Ni), and ω(Zn) in atmospheric deposition samples were 3185.77, 78.18, 273.67, 149.50, 453.60, 810.37, 54.38, and 2397.38 mg·kg-1, respectively, which were all higher than the soil background values of Henan Province. All heavy metals except Mn had significant seasonal variation characteristics. The concentrations of Pb, Cd, As, and Cu in the industrial area with lead-zinc smelting were significantly higher than those in other functional areas, and the concentration of Zn was the highest in the residential mixed area. The results of the geo-accumulation index showed that the pollution of Cd and Pb were the most serious, followed by that of Zn, Cu, and As, which belonged to the serious-extreme pollution category. The main exposure route of non-carcinogenic risk was hand-mouth intake. Pb and As posed the greatest non-carcinogenic risk to children in all functional areas. The carcinogenic risks of Cr, As, Cd, and Ni through the respiratory system to humans were all below the threshold values. The analysis of the PMF model showed that the main sources of heavy metals in atmospheric deposition were industrial pollution sources (39.7%), transportation sources (28.9%), secondary dust sources (14.4%), incineration and coal combustion sources (9.3%), and natural sources (7.8%).

Rule of Law, Happiness, and Human Health: Mechanisms and Effects.

Human health is an important concern that gradually exists in sustainable development goals. The key aim of this study is to examine the impacts of the rule of law on happiness and health using a time series data of China over the data period 1998-2020. The empirical analysis utilizes the autoregressive distributed lag (ARDL) method to find out the short and long-run effects. Findings reveal that the rule of law stimulates happiness and human health in the long-run. More internet and GDP enhance happiness and human health in the long-run. The results also showed that health expenditure and education could not boost happiness and health in the long run, but unemployment's negative effect on health. Policymakers may use our empirical results to determine applicable policies to increase human health across China provinces.

Using the Assessment of Motor and Process Skills and the Pediatric Evaluation of Disability Inventory to Assess Self-Care Performance Among Preschool Children With Autism Spectrum Disorder.

IMPORTANCE: Caregiver rating scales often give an unclear picture of the actual self-care performance of preschool children with autism spectrum disorder (ASD). OBJECTIVE: To assess self-care performance among preschool children with ASD using two standardized instruments. DESIGN: Cross-sectional study. SETTING: Clinics, hospitals, and early intervention centers in Tainan, Taiwan. PARTICIPANTS: Sixty children with ASD (ages 48-71 mo). Outcomes and Measures: The Standard Version of the Childhood Autism Rating Scale-Second Edition, the Assessment of Motor and Process Skills (AMPS), and the Chinese version of the Pediatric Evaluation of Disability Inventory (PEDI-C). RESULTS: About 53.3% of children with ASD scored below 1.5 logits for AMPS motor skills and below 1 logit for AMPS process skills, indicating difficulties performing activities of daily living tasks. The average PEDI-C self-care normative standard scores were moderately low (between -1 and -2 SDs), indicating poor self-care performance. The correlations between the two measures were also low (rs = .27-.44). Overall, the results for 36 children were consistent with AMPS and PEDI-C scores; however, those for 24 children (40.0%) were discrepant. CONCLUSIONS AND RELEVANCE: These findings have implications for how preschool children with ASD perform their self-care activities and suggest that more than half of preschool children with ASD have a need for occupational therapy interventions that target self-care skills. Occupational therapy practitioners can work with preschool children with ASD and their families to help them improve their self-care performance. What This Article Adds: Many children with ASD need occupational therapy interventions that target self-care skills. Both the AMPS and the PEDI-C provide valuable information from different perspectives on the self-care performance of preschool children with ASD.

Learn Quasi-Stationary Distributions of Finite State Markov Chain.

We propose a reinforcement learning (RL) approach to compute the expression of quasi-stationary distribution. Based on the fixed-point formulation of quasi-stationary distribution, we minimize the KL-divergence of two Markovian path distributions induced by candidate distribution and true target distribution. To solve this challenging minimization problem by gradient descent, we apply a reinforcement learning technique by introducing the reward and value functions. We derive the corresponding policy gradient theorem and design an actor-critic algorithm to learn the optimal solution and the value function. The numerical examples of finite state Markov chain are tested to demonstrate the new method.

Social Determinants of Mental Health Among Karen Refugees from Burma.

Extant literature has documented a higher level of mental health issues among refugee populations compared with that of the general population. Mental health problems may significantly decrease refugees' quality of life and interfere with a successful transition to their country of resettlement. Using the social determinants of mental health framework, we examined factors affecting psychological distress among Karen refugees from Burma residing in a mid-size city in a northeastern state in the United States. A total of 201 participants completed face-to-face interviews conducted in the Karen language. Results showed that trauma and religious participation were positively associated and education and health status were negatively associated with psychological distress. The findings of this study reiterate the importance of trauma and health conditions to mental health and suggest potential points of interventions among the resettled Karen refugees.

Comparing rice production systems in China: Economic output and carbon footprint.

In recent years, many rotational and integrated rice production systems coupled with several greenhouse gas (GHG) emissions mitigation practices have been developed and adopted for demand of low carbon production. However, there have been only few studies about comparisons on the balance between high production and mitigation of GHG emissions in different rice production systems. We therefore aimed to evaluate economic output and carbon footprint of different rice production systems, based on several long-term experiments conducted by our lab. CH4 and N2O emission were measured by the same static chamber/gas chromatogram measurement procedure in different rice production systems, including rice-fallow, rice-rapeseed, rice-wheat, double rice, and integrated rice-crayfish production system. Then, we applied the DeNitrification DeComposition model to simulate CH4 and N2O emission over different years under the same condition for comparison. Carbon footprint was calculated following the process-based life cycle assessment (PLCA) methodology. The economic benefit of rice production systems was assessed by cost-benefit analysis. According to the analysis, the double-rice production system exhibited the highest intensity of carbon footprint (ICF = 4.14 kg CO2-eq yuan-1), rain-fed treatment in the rice-rapeseed system had the lowest (ICF = 0.68 kg CO2-eq yuan-1). The intensity of carbon footprint in different treatments in the integrated rice-crayfish production system was around 0.8 kg CO2-eq yuan-1. Overall, the results of this case study suggest: (1) the proposed practices in different rice production systems are no straw returning (rice-fallow), no-tillage without straw returning (rice-wheat), rain-fed farming (rice-rapeseed), no insect and no inoculation (double rice), and feeding with straw returning (rice-crayfish); (2) rotational and integrated systems can achieve high net output with low carbon emission; (3) reducing the amount of nitrogenous fertilizer application is the most important and effective GHG mitigation practice for rotational systems.

[Critical quality attribute assessment of big brand traditional Chinese medicine: visualization of blending process for rare medicines in Tongren Niuhuang Qingxin Pills based on spatial distribution uniformity].

The spatial distribution uniformity of valuable medicines is the critical quality attribute in the process control of Tongren Niuhuang Qingxin Pills. With the real world sample of the mixed end-point powder of Tongren Niuhuang Qingxin Pills as the research object, hyperspectral imaging technology was used to collect a total of 32 400 data points with a size of 180 pix×180 pix. Spectral angle matching(SAM), classical least squares and mixed tuned matched filtering(MTMF) were used to identify the spatial distribution of rare medicines. MTMF model showed higher identification accuracy, therefore the spatial distribution of the blended intermediates was identified based on the MTMF model. The histogram method was also used to evaluate the spatial distribution uniformity of rare medicines. The results showed that the standard deviation was 4.78, 6.5, 3.48, 1.96, and 3.00 respectively for artificial bezoar, artificial musk, Borneol, Antelope horn and Buffalo horn; the variance was 22.8, 42.3, 12.1, 3.82, and 9.00, and the skewness was 1.26, 1.71, 0.06,-0.86, and 1.04, respectively. The final results showed that the most even blending was achieved in concentrated powder of Borneol, Antelope horn and Buffalo horn, followed by artificial bezoar, and last artificial musk. A visualization method was established for quality attributes of distribution uniformity in blending process of Tongren Niuhuang Qingxin Pills. It could provide evidences of quality control methods in the mixing process of big brand traditional Chinese medicine.

[Critical quality attribute assessment of big brand traditional Chinese medicine: modular identification of Tongren Niuhuang Qingxin Pills based on efficacy with chemical properties].

Identification of critical quality attribute(CQA) is crucial in quality control of Tongren Niuhuang Qingxin Pills(TRNHQXP). In this study, 661 active components in TRNHQXP were selected by liquid chromatography-mass spectrometry(LC-MS) and network pharmacology based on reported data and TCMSP, BATMAN-TCM, and TCMID databases, as well as mass spectrometry data, and 1 413 targets of the active components were obtained through SwissTargetPrediction. The 152 potential targets obtained from the intersection of predicted targets with 456 stroke targets underwent functional enrichment analysis by Metascape. The 27 Chinese medicinals in TRNHQXP were divided into four sets according to efficacies. Thirty-seven key targets in the blood-activating and stasis-resolving set and 41 in the tonifying set were screened out. On the basis of these potential key targets, 137 potential key CQA of TRNHQXP for stroke were reversely predicted. This study revealed the possible mechanism of TRNHQXP in treating stroke and established a modular identification method for the potential CQA of big brand traditional Chinese medicine(TCM) based on efficacies and chemical properties. Consequently, the CQA of TRNHQXP were identified by this method, which has provided a reference for the following experimental studies of CQA.

[Criticalquality attribute assessment of big brand traditional Chinese medicine: visualization method for quality control of Ginkgo Leaves Tablets based on spatial distribution uniformity].

Spatial distribution uniformity is the critical quality attribute(CQA) of Ginkgo Leaves Tablets, a variety of big brand traditional Chinese medicine. The evaluation of the spatial distribution uniformity of active pharmaceutical ingredients(APIs) in Ginkgo Leaves Tablets is important in ensuring their stable and controllable quality. In this study, hyperspectral imaging technology was used to construct the spatial distribution map of API concentration based on three prediction models, further to realize the visualization research on the spatial distribution uniformity of Ginkgo Leaves Tablets. The region of interest(ROI) was selected from each Ginkgo Leaves Tablet, with length and width of 50 pixels, and a total of 2 500 pixels. Each pixel had 288 spectral channels, and the number of content prediction data could reach 1×10~5 for a single sample. The results of the three models showed that the Partial Least Squares(PLS) model had the highest prediction accuracy, with calibration set determination coefficient R_(pre)~2 of 0.987, prediction set determination coefficient R_(pre)~2 of 0.942, root mean square error of calibration(RMSEC) of 0.160%, and root mean square error of prediction(RMSEP) of 0.588%. The classical least-squares(CLS) model had a greater prediction error, with the RMSEP of 0.867%. Multivariate Curve Resolution-Alternating Least Square(MCR-ALS) model showed the worst predictive ability among the three models, and it couldn't realize content prediction. Based on the prediction results of PLS and CLS models, the spatial distribution map of APIs concentration was obtained through three-dimensional data reconstruction. Furthermore, histogram method was used to evaluate the spatial distribution uniformity of API. The data showed that the spatial distribution of APIs in Ginkgo Leaves Tablets was relatively uniform. The study explored the feasibility of visualization of spatial distribution of Ginkgo Leaves Tablets based on three models. The results showed that PLS model had the highest prediction accuracy, and MCR-ALS model had the lowest prediction accuracy. The research results could provide a new strategy for the visualization method of quality control of Ginkgo Leaves Tablets.

[Critical quality attribute assessment of big brand traditional Chinese medicine: quality control method of ginkgo leaves extract material based on powder physical properties].

The physical properties of ginkgo leaves extract(GLE) are the critical quality attributes for the control of the manufacturing process of ginkgo leaves preparations. In this study, 53 batches of GLE with different sources from the real world were used as the objects to carry out the research from 3 levels. First, based on micromeritics evaluation method, a total of 29 physical attribute quality parameters in five dimensions were comprehensively characterized, with a total of 1 537 data points. Further, with use of physical fingerprinting technology combined with similarity evaluation, the powder physical properties of 53 batches of GLE showed obvious differences from an overall perspective, and the similarity of the physical fingerprints was 0.876 to 1.000. Secondly, hierarchical clustering analysis(HCA) and principal component analysis(PCA) models were constructed to realize the reliable identification and differentiation of real-world materials produced by GLE from different sources. Multivariate statistical process control(MSPC) model was used to create GLE material Hotelling T~2 and squared prediction error(SPE) control charts. It was found that the SPE score of B_(21) powder exceeded the 99% confidence control limit by 22.495 9, and the SPE scores of A_1 and C_(10) powder exceeded the 95% confidence control limit by 16.099 2, realizing the determination of abnormal samples in the materials of GLE from the production in real world. Finally, the physical quality control method of GLE in the production process of ginkgo leaves preparations was established in this study, providing a reference for the quality control methods of ginkgo leaves preparations in their manufacturing process.

Sensorimotor Performance and Reference Values for Fall Risk Assessment in Community-Dwelling Adults: The Yishun Study.

OBJECTIVE: This study sought to answer the following questions: What are the reference values of sensorimotor performance for fall risk in community-dwelling adults? How do population norms compare with that of other populations? Are younger adults at risk of falls? METHODS: In a cross-sectional study design, sensorimotor functions and fall risk scores of community-dwelling adults were assessed and calculated to derive corresponding fall risk categories. Reference values were determined using the average scores by age group. A total of 542 community-dwelling adults were recruited (21-90 years old) across 10-year (21-60 years) and 5-year age groups (>60 years) to obtain a representative sample of community-dwelling adults in Singapore. Five physiological domains were assessed: vision, proprioception, muscle strength, reaction time, and postural balance according to the Physiological Profile Assessment (PPA). Fall risk scores and the corresponding fall risk profiles were generated from an online calculator. RESULTS: Sensorimotor performance and PPA fall risk scores were significantly worse for increasing age categories. Females had significantly slower reaction time, lower muscle strength, and higher fall risk. The representative sample of older adults (≥65 years) performed poorer in postural sway (z = -0.50) and reaction time (z = -0.55), but better in proprioception (z = 0.29) and vision (z = 0.23) compared with Caucasian norms. Among younger adults (21-59 years), 36.8% appeared to exhibit higher fall risk. CONCLUSION: This study presents important reference data and compared sensorimotor functions and physiological fall risk across age groups of community-dwelling adults in a Southeast Asian population. Poor sensorimotor performance and fall risk appear already pertinent in younger adults. Further studies are warranted to improve understanding of fall risk among younger adults. IMPACT: In physical therapist practice, PPA reference values can aid clinicians in the development of targeted interventions tailored towards an individual's physiological risk profile, addressing specific physiological systems that require particular attention.

Reference Values of Gait Speed and Gait Spatiotemporal Parameters for a South East Asian Population: The Yishun Study.

BACKGROUND: Age-related slowing of gait has been reported to start as early as the fifth decade and accelerate beyond the seventh decade of life. A single cut-off for slow gait may not be appropriate for men and women of different ages. We aimed to report reference values for gait speed and spatiotemporal gait parameters of adult age groups in a South East Asian population. METHODS: A total of 507 community-dwelling adults, aged 21-90 years were recruited into the study through random sampling, filling quotas of 20-40 participants in each sex and age group (10-year age groups between 21 and 60 years; 5-year age groups beyond age 60 years). Demographic data, height, weight and information on comorbidities were recorded. Habitual gait speed and spatiotemporal parameters were measured, and the average of three trials was recorded using the GAITRite system. RESULTS: Gait speed peaked in their 40s for both men and women, but the trajectories differed slightly across age groups. Although similar for men in their 50s and 60s, gait speed was significantly slower among those aged 71 years and older. For women beyond 50 years old, gait slowed with age. After adjusting for height, women were found to walk significantly faster and with a longer step length than men. Women also walked with a significantly narrower stride width and less external rotation of the feet. The lowest quintile for gait speed in our study cohort was 0.9m/s, below the recommended cut-off of 1.0m/s. CONCLUSION: We established the reference values as well as the quintiles for gait speed and spatiotemporal gait parameters across adult age groups in a multi-ethnic Asian population. This contributes to a valuable database for gait assessment and evaluation of preventive or rehabilitative programs.

The Attributable Direct Medical Cost of Healthcare Associated Infection Caused by Multidrug Resistance Organisms in 68 Hospitals of China.

Healthcare associated infection (HAI) is known to increase the economic burden of patients while the medical cost due to MDRO HAI is even higher. Three hundred eighty-one multidrug resistance organisms (MDROs) healthcare associated infection (HAI) case-patients and three hundred eighty-one matched control-patients were identified between January and December in 2015. The average total hospitalization medical cost of the case group was $6127.65 and that of the control group was $2274.02. The difference between the case group and the control group was statistically significant (t = 21.07; P < 0.01). The attributable cost of MDRO HAI was $3853.63. The direct medical costs due to different MDRO infections were different. The increased medical costs of CR-AB, CR-KP, and CR-PA were significantly higher than that of MRSA, MRSE, ESBL E. coli, and ESBL Kp (P < 0. 05). Among the subitem expenses, the drug cost increased the most (the average cost was $1457.72), followed by the treatment fee and test fee; the differences were statistically significant (P < 0.01).

Image quality assessment metric for frame accumulated image.

The medical image quality determines the accuracy of diagnosis, and the gray-scale resolution is an important parameter to measure image quality. But current objective metrics are not very suitable for assessing medical images obtained by frame accumulation technology. Little attention was paid to the gray-scale resolution, basically based on spatial resolution and limited to the 256 level gray scale of the existing display device. Thus, this paper proposes a metric, "mean signal-to-noise ratio" (MSNR) based on signal-to-noise in order to be more reasonable to evaluate frame accumulated medical image quality. We demonstrate its potential application through a series of images under a constant illumination signal. Here, the mean image of enough images was regarded as the reference image. Several groups of images by different frame accumulation and their MSNR were calculated. The results of the experiment show that, compared with other quality assessment methods, the metric is simpler, more effective, and more suitable for assessing frame accumulated images that surpass the gray scale and precision of the original image.

Assessment and comparison of three high-aluminum fly ash utilization scenarios in Inner Mongolia, China using an eco-efficiency indicator.

Utilization of fly ash is of great importance in China in the context of resource and environmental crises. Different fly ash utilization processes are proposed, and some have been practically applied. However, none of these fly ash utilization pathways has been evaluated comprehensively by integrating both environmental and economic perspectives. In this study, three high-aluminum fly ash utilization methods in Mongolia were assessed and compared based on the concept of eco-efficiency. The environmental assessment was conducted in accordance with life-cycle assessment principles, and a monetization-weighting approach was applied to obtain social willingness-to-pay as a reflection of environmental impact. The environmental assessment results revealed that the reuse of fly ash had significant advantage for saving primary resource, while solid waste, depletion of water, and global warming were the three highest environmental impacts from the life cycle perspective. The economic performance assessment showed positive net profits for fly ash utilization, but high value-added products were not necessarily indicative of better economic performance due to the relatively high operation cost. Comparison of the eco-efficiency indicators (EEIs) implied that the process of scenario 1#, which produced mullite ceramic and active calcium silicate, was the most recommended out of the three scenarios on the present scale. This judgment was consistent with the evaluation of the resource utilization rate. The present study showed that the EEI could be used to compare different fly ash utilization processes in a comprehensive and objective manner, thus providing definitive and insightful suggestions for decision-making and technical improvement.

[The Quality Assessment and Selection of Dynamic Spectrum Signal].

Near infrared spectroscopy analysis, as a kind of nondestructive real-time continuous detection method, has provided ideas for the noninvasive measurement of blood components. In this article, in order to ensure the accuracy and reliability of the collected spectral data, the 405 acquired samples are evaluated by combining valid single edge counts of dynamic spectrum pulse wave in the time domain with the quality factor Q value of dynamic spectrum pulse wave in the frequency domain. As a result, the abnormal samples are removed and 218 cases of valid samples are selected. We use the dynamic spectrum data of the selected 218 samples as the experimental group and another 218 samples as a control group modeling analysis with the hemoglobin concentration of the corresponding samples. Each group select 200 cases of samples as a calibration set and 18 cases of sample as a prediction set. The prediction accuracy of the experimental group reach 93.8%. The prediction accuracy of the two control group respectively evaluated by the valid single edge counts or Q value are 65.6% and 67.7% and the three unfiltered control groups are 53.7%, 33.3%, 42.6% respectively. The prediction mean relative error (MSEP) of the experimental group is 0.067 5, the other two control groups are 0.072 3 and 0.072 2, and the other three control groups are 0.082.3, 0.078 9, 0.082 8. So compared with another control groups, the MSEP of the experimental group is the minimal. The results show that the filtering method of the spectral data samples through combining time domain with frequency domain is reliable and effective.this will provide a method to the precision research of dynamic spectrum noninvasive detection.

[The Acceleration of Monte Carlo Simulation for Optical Transmission in Large Space Biological Tissue].

Typically, it is time-consuming to use Monte Carlo simulation to model light propagation in turbid media, such as breasts, mainly because of the thick simulated tissue and the large number of photons required by the stochastic nature of MC simulations. In this paper, in view of the light source and the receiver in a straight line, the transmitted light received by optical fiber model is analyzed; in terms of the optical properties of biological tissue itself, implementation of boundary constraint conditions and restriction of the number of backscatter events have been developed to reduce the simulation time. It is verified that the calculation is relatively simple by many experiments, when the position after two scattering is regarded as the demarcation and the boundary constraint conditions are efficiently solved by optical parameters of tissue respectively. At the same time, considering the actual situation in incident and emergent position, the boundary constraint conditions are expanded. The number of backscatter of every photon that received by optical fiber in the same position are recorded and tissues are selected different thickness and the similar optical parameters in the simulations. Additionally, it is found that the number of backscatter would increase as the depth of tissue or scattering coefficient increases, or as absorption coefficient or anisotropic factor decreases. Therefore, the time is saved further through limiting the number of backscatter. The simulation results show the combination of those new methods reduces the operation time of the MC simulation by 50% on a typical desktop computer. Those new methods are especially suitable for MC simulations of the thick tissue or the scatterer with a complex boundary. This acceleration method is applicable when light source and receiver are in a straight line the biological tissue is thicker and scattering coefficient is large. It can effectively save needed time and be beneficial to analyze the transmission imaging.

A non-invasive genomic diagnostic method for bladder cancer using size-based filtration and microchip electrophoresis.

Bladder cancer (BC) cells spontaneously exfoliated in the urine of patients with BC. Detection of exfoliated tumor cells has clinical significance in cancer therapy because it would enable earlier non-invasive screening, diagnosis, or prognosis of BC. In this research, a method for analyzing genetic abnormalities of BC cells collected from urine samples was developed. Target BC cells were isolated by filtration. To find conditions that achieve high cell recovery, we investigated the effects of filter type, concentration of fixative, and flow rate. Cells captured on the filter membrane were completely retrieved within 15s. Selected genes for genomic analysis, mutated genes (FGFR3, TERT and HRAS) and methylated genes (ALX4, RALL3, MT1A, and RUNX3) were amplified by polymerase chain reaction (PCR), and subsequently, were identified by microchip electrophoresis (MCE). Analysis by MCE reduces the risk of contamination, sample consumption, and analysis time. Our developed approach is economical, effectively isolates cancer cells, and permits flexible molecular characterization, all of which make this approach a promising method for non-invasive BC detection.

[Monte Carlo simulation based on diffuse hyperspectrum collection with detection fiber].

The present paper brings the parameters of the detection fiber into Monte Carlo model, and we studied the influence of fiber optic parameters and the distance of fiber from the detector on the detected optic signal,. The simulation results show that signals are obviously different when the NA (numerical aperture) and diameter of the fiber are different respectively. With the increase in NA and diameter of the fiber, the diffuse reflectance and diffuse transmission increase gradually. However, the distance from the sample surface, to some extent, brings little influence when we control it within 1 mm. By further study of the simulation result, we found that the collection efficient of the fiber is the same in different spatial positions. And the collection efficient of strong scattering material is a constant, in spite of absorption coefficient and scattering coefficient. We can normalize the diffuse signals collected by fibers with different angular aperture beta by the collection efficient. Meanwhile, this paper provided the fitting curve of the collection efficient in a certain range. For fibers with different diameters, we can get a good consistence by area normalization. Therefore, the research on the effects of the difference of the detection fiber on diffuse hyper-spectrum has great significance for practical measurement. And the detection results can be transplanted by collection efficient and area normalization when we change the actual detecting fiber.