Role of electroencephalogram and oxygen saturation in the induction mechanism of arousal for obstructive sleep apnea-hypopnea syndrome patients

Arousal concomitant with obstructive sleep apnea-hypopnea syndrome (OSAHS) is known to result in sleep fragmentation and excessive daytime sleepiness. The cause of arousal is multifarious, and the mechanism is not yet clear. The aim of this study was to further research the induction mechanism of arousal by investigating the variation of electroencephalogram (EEG) and oxygen saturation (SaO₂). This study enrolled 20 subjects with a clinical diagnosis of OSAHS who underwent overnight polysomnography. Respiratory events and arousals were scored, and individuals with insufficient samples (<30) were excluded. Thus, 13 subjects mostly with severe OSAHS were analyzed in this study. The wavelet coefficients, spectral power of EEG (C4-M1 and C3-M2) before arousal or airway reopening, and the maximum desaturations of SaO₂ during respiratory events were analyzed. For most subjects, EEG (in stages N1 and N2) during respiratory events with arousals exhibited significantly lower values of wavelet coefficients and spectral power (p < 0.05). The maximum desaturations of SaO₂ during respiratory events with arousals are larger than those without among individual. In binary logistic regression analysis, the P values of EEG features and SaO₂ desaturation were both less than 0.001. Our results demonstrate that in light NREM stage, less activity in EEG during respiratory events and larger SaO₂ drop both independently were related to the occurrence of arousal. These significant differences come from major subjects based on the statistical analysis, and help supplement the induction mechanism of arousal.     

Microalgal industry in China: challenges and prospects

Over the past 15 years, China has become the major producer of microalgal biomass in the world. Spirulina (Arthrospira) is the largest microalgal product by tonnage and value, followed by Chlorella, Dunaliella, and Haematococcus, the four main microalgae grown commercially. China’s production is estimated at about two-thirds of global microalgae biomass of which roughly 90 % is sold for human consumption as human nutritional products (‘nutraceuticals’), with smaller markets in animal feeds mainly for marine aquaculture. Research is also ongoing in China, as in the rest of the world, for other high-value as well as commodity microalgal products, from pharmaceuticals to biofuels and CO₂ capture and utilization. This paper briefly reviews the main challenges and potential solutions for expanding commercial microalgae production in China and the markets for microalgae products. The Chinese Microalgae Industry Alliance (CMIA), a network founded by Chinese microalgae researchers and commercial enterprises, supports this industry by promoting improved safety and quality standards, and advancement of technologies that can innovate and increase the markets for microalgal products. Microalgae are a growing source of human nutritional products and could become a future source of sustainable commodities, from foods and feeds, to, possibly, fuels and fertilizers.     

石灰岩山地优势种淡竹生物量分配的影响主因研究

该研究在江西省瑞昌市设置9个淡竹林样地,调查和测定了淡竹林密度、淡竹各构件的生物量和总生物量,以及土壤含水率、土层厚度、林下裸岩率、pH、电导率、全氮和全磷等7个土壤环境因子,并对竹林密度、土壤环境因子和淡竹生物量分配指标进行了相关分析和回归分析。结果表明：(1)密度与淡竹蔸比重相关系数r达0.66( P＝0.02<0.05),而与叶比重、枝比重、秆比重、鞭比重、根比重及根冠比均无显著相关关系;土壤环境因子与生物量分配指标有密切相关,环境主成分Z1与叶比重、秆比重及蔸比重均显著相关(P<0.05),Z2与鞭比重显著相关(P＝0.034<0.05)。(2)密度与土壤环境因子密切相关(P<0.05),控制土壤环境因子的偏相关分析显示密度与淡竹生物量分配不显著相关( P>0.05),而控制密度时,土壤环境因子与淡竹生物量分配仍有显著相关关系(P<0.05);逐步回归分析也验证了偏相关分析的结果,密度被排除出回归方程。分析认为,土壤含水率、土层厚度及土壤养分等环境因子是影响石灰岩山地优势种淡竹生物量分配的主因,密度对生物量分配的影响实为土壤环境因子的间接作用。该研究结果为石灰岩地区植被恢复提供了理论支撑。     

大豆SbPRP3基因表达及转基因烟草非生物胁迫鉴定

为研究大豆(Glycine max L.)细胞壁脯氨酸富集蛋白基因(SbPRP3)在逆境胁迫中的作用,利用实时荧光定量PCR,对SbPRP3在高盐、干旱和低温处理下的表达情况进行检测。结果显示,SbPRP3在高盐处理下表达量升高,在干旱和低温处理下表达量先升高后降低。将SbPRP3构建到植物表达载体pRI101-AN上并转化烟草,获得阳性转基因烟草3株。对转基因烟草植株进行高盐、干旱和低温胁迫处理。结果表明,与对照相比,高盐和低温处理下转基因烟草脯氨酸积累量增加,而丙二醛产生量降低。但干旱处理后转基因烟草脯氨酸和丙二醛的含量与对照相比没有显著差异。由此推测SbPRP3可以提高转基因烟草的耐盐性和耐寒性。     

Simulation of 3D tumor cell growth using nonlinear finite element method

We propose a novel parallel computing framework for a nonlinear finite element method (FEM)-based cell model and apply it to simulate avascular tumor growth. We derive computation formulas to simplify the simulation and design the basic algorithms. With the increment of the proliferation generations of tumor cells, the FEM elements may become larger and more distorted. Then, we describe a remesh and refinement processing of the distorted or over large finite elements and the parallel implementation based on Message Passing Interface to improve the accuracy and efficiency of the simulation. We demonstrate the feasibility and effectiveness of the FEM model and the parallelization methods in simulations of early tumor growth.     

Beauty before age: landscape factors influence bird functional diversity in naturally regenerating fragments,but regeneration age does not

Effective ecological restoration actions should be able to recover ecosystem processes that influence community development in the long term. However, there is scarce information on how landscape factors promote or accelerate fauna recovery. We used a landscape framework to evaluate how functional groups respond to natural regeneration in a highly fragmented region of Atlantic Forest. Using bird functional groups sampled in 15 regenerating forest fragments, we built and ranked models using a model selection approach to test the relative effect of landscape variables on each group. Our results showed that bird community recovery is not determined by the duration of the regeneration process (i.e. forest age), but by how the species responds to the landscape context. Functional diversity and the abundance of the functional groups were mainly related to composition metrics, whereas the functional metric affected only specific groups. Our findings highlight the importance of considering the landscape level to ensure both the colonization of fauna and the restoration of ecological functions.     

青岛胶州湾四种类型湿地AM真菌多样性

对青岛胶州湾4种类型湿地（盐田、滩涂、湖泊和河口）中芦苇Phragmites communis、香蒲Typha orientalis和碱蓬Suaeda glauca 根围土壤中丛枝菌根（arbuscular mycorrhizal,AM）真菌进行孢子分离与鉴定,分析湿地生态系统中植物根围AM真菌群落特征。共分离到AM真菌5属10种,包括斗管囊霉属Funneliformis 2种、无梗囊霉属Acaulospora 3种、近明球囊霉属Claroideoglomus 2种、球囊霉属Glomus 1种、巨孢囊霉属Gigaspora 2种,其中,斗管囊霉属Funneliformis及地斗管囊霉Funneliformis geosporum的分离频度和相对多度最高,分别为湿地中AM真菌优势属和优势种。滩涂和河口湿地中植物AM真菌侵染率显著高于湖泊和盐田湿地植物,AM真菌孢子密度以滩涂湿地最高（572个/20mL）,湖泊湿地最低（220个/20mL）;滩涂湿地的种丰度和Shannon-Wiener指数最高,分别为3.8和1.2。从植物种类来看,AM真菌侵染率总体呈现出香蒲>碱蓬>芦苇,AM真菌孢子密度以香蒲最高,芦苇最低,植物种类对AM真菌种丰度和Shannon-Wiener指数影响不显著（P>0.05）。二因素方差分析和典型RDA相关分析表明,寄主植物种类对AM真菌孢子密度有一定影响,但湿地类型对AM真菌多样性的影响更为显著（P<0.05）,胶州湾湿地土壤因子Ca ²⁺、速效P含量与AM真菌孢子密度、物种丰度和多样性指数显著负相关,而速效K、Na ⁺、pH与其显著正相关。结果表明植物种类主要影响AM真菌孢子密度,AM真菌多样性受植物种类和湿地类型综合影响,滩涂湿地较丰富的AM真菌多样性可能与该湿地较良好的理化性质有关。     

BI-RADS 3级对乳腺病灶患者的诊断结果及影响因素分析

目的:回顾性分析超声BI-RADS 3级对乳腺病灶患者的诊断结果及影响因素。方法:选择2014年8月至2017年8月上海交通大学医学院附属第九人民医院和复旦大学附属华山医院北院收治的168例乳腺病灶患者,回顾性分析其影像学资料及病理分析结果。分析BI-RADS 3级对乳腺病灶的阴性诊断率,采用Kim分级对BI-RADS 3级结果进行重新分级,分析影响BI-RADS分级及重新分级的主要因素。结果:168例BI-RADS 3级乳腺病灶中,159例为良性病变,9例为恶性。168例BI-RADS 3级乳腺病灶的阳性预测值为5.4%(9/168),阴性预测值为94.6%(159/168)。病灶数目、年龄、医师年资、病灶大小对BI-RADS 3级良恶性乳腺病灶判断无明显影响,而BI-RADS 3级恶性乳腺病灶较良性病灶更易触诊(P 0.05)。重新分级发现,124例仍为BI-RADS 3级,44例上升至BI-RADS 4级,重新分级恶性病灶的检出率为100%(9/9),假阳性率为20.8%(35/168)。病灶多发、年龄≥40岁更可能评估为BI-RADS 4级(P0.05),医师年资、病灶大小、病灶触及情况对重新分级无明显影响(P0.05)。结论:BI-RADS 3级对乳腺良性病灶有较高的阴性诊断率,重新分级可提高乳腺恶性病灶的检出率,但会造成较高的假阳性率,影响BI-RADS分级的主要因素为病灶可否扪及,影响重新分级的主要因素为患者年龄及乳腺病灶是否多发。