Fractal root system of Melica przewalskyi along different aspect in degraded grassland

Aims Fractal root system is phenotypic plasticity result of plant root architecture to respond to environmental heterogeneity, may reflect the growth strategy of plants to adapt to environmental conditions. Our objective was to explore the relationship between root fractal dimension and fractal abundance of fractal root system of Melica przewalskyi population in response to aspect variation in the northwest of China. Methods The study site was located in a degraded alpine grassland on the northern slope in Qilian Mountains, Gansu Province, China. Survey and sampling were carried out at 40 plots which were set up along four slope aspects transects with 20 m distance between adjacent plots. Handheld GPS was used to determine the elevation, longitude and latitude of each plot. ArcGIS was used to set up digital elevation model (DEM). Community traits were investigated and six individuals roots of M. przewalskyi were collected randomly at each plot. The samples were cleaned and divided into different organs, then scanning the root with the Win-RHIZO for measurements of fractal dimension and fractal abundance in laboratory, and their biomass were then measured after being dried at 80 °C in an oven. Important findings With the slope aspect turned from north to east, west, and south, the density, height and soil moisture content of the plant community displayed a pattern of initial decline, the height, density, root fractal abundance of M. przewalskyi increased and the root fractal dimension decreased. The root fractal dimension was negatively associated with the fractal abundance in all aspects, but the relationship varied along the slope aspects gradient; there was a highly significant negative correlation (p < 0.01) between the root fractal dimension and fractal abundance at north slope and south slope aspect, whereas the correlation only reached a significant level (p < 0.05) at the east slope aspect and west slope aspect; indicating that there is a trade-off between the root fractal dimension and fractal abundance. In addition, when the slope aspect changed from north to east, west and south, the standardized major axis (SMA) slope of the regression equation in the scaling relationships between root fractal dimension and fractal abundance increased (p < 0.05), indicating that the roots of M. przewalskyi at the droughty southern slope have less branch and more sparse in the same soil volume of root exploitation and utilization. Consequently, the resource allocation pattern on reasonable trade-off between root fractal dimension and fractal abundance in different slope aspect of M. przewalskyi, reflects the relationship between the income and the cost of construction of plant root architecture.     

Negritos, Australian aborigines, and the "proto-sundadont" dental pattern: the basic populations in east Asia, V.

Five evolutionarily significant dental traits were identified from a B-square distance analysis of nine crown characters recorded for several populations of East Asia and Oceania. Intergroup variation in these traits distinguishes three major divisions of the Mongoloid dental complex: sundadonty, sinodonty, and the dental pattern of Australian Aborigines. The Australian crown features may be characterized as having high frequencies of evolutionarily conservative characters. Negritos, one of the probable representatives of indigenous inhabitants of Southeast Asia who may have shared a common ancestor with Australians, possess the more derived sundadont dental pattern. As far as the five crown traits treated here are concerned, Australian dental features may be described as conforming to a "proto-sundadont" dental pattern, applying Turner's terminology. This pattern may represent a microevolutionary step prior to the emergence of the sundadont and sinodont patterns.     

组织型纤溶酶原激活剂（t—PA）工程细胞系遗传特性及成瘤性分析

组织型纤溶酶原激活剂(t-PA)因其在防止血栓形成中起重要作用而受到人们的重视。但由于t-PA在血液中半衰期很短,作为溶栓药,一时难于推广。为了延长半衰期、增强其特异活性,本组构建了t-PA突变体并在CHO-dhfr~-细胞中获得了高效表达。我们在细胞培养基中加入秋水仙素,通过低张、固定、染色,进行染色体分析,结果表明,t-PA工程细胞系染色体条数为20条,畸变类型有异着丝粒。四倍体、裂隙、断片,畸变率为15％,属于正常范围。同时我们对该细胞系进行成瘤性试验,选用4周龄裸鼠作为试验鼠,以Hela细胞为阳性对照,CHO-dhfr~-细胞为阴性对照,试验表明:t-PA工程细胞及表达产物对裸鼠均无成瘤性。     

Rapid authentication of animal cell lines using pyrolysis mass spectrometry and auto-associative artificial neural networks

Summary Pyrolysis mass spectrometry (PyMS) was used to produce biochemical fingerprints from replicate frozen cell cultures of mouse macrophage hybridoma 2C11-12, human leukaemia K562, baby hamster kidney BHK 21/C13, and mouse tumour BW-O, and a fresh culture of Chinese hamster ovary CHO cells. The dimensionality of these data was reduced by the unsupervised feature extraction pattern recognition technique of auto-associative neural networks. The clusters observed were compared with the groups obtained from the more conventional statistical approaches of hierarchical cluster analysis. It was observed that frozen and fresh cell line cultures gave very different pyrolysis mass spectra. When only the frozen animal cells were analysed by PyMS, auto-associative artificial neural networks (ANNs) were employed to discriminate between them successfully. Furthermore, very similar classifications were observed when the same spectral data were analysed using hierarchical cluster analysis. We demonstrate that this approach can detect the contamination of cell lines with low numbers of bacteria and fungi; this approach could plausibly be extended for the rapid detection of mycoplasma infection in animal cell lines. The major advantages that PyMS offers over more conventional methods used to type cell lines and to screen for microbial infection, such as DNA fingerprinting, are its speed, sensitivity and the ability to analyse hundreds of samples per day. We conclude that the combination of PyMS and ANNs can provide a rapid and accurate discriminatory technique for the authentication of animal cell line cultures.     

Diversity of the growth patterns of Bacillus subtilis colonies on agar plates

Abstract A Bacillus subtilis strain showed a variety of colony growth patterns on agar plates. The bacterium grew to a fractal colony through the diffusion-limited aggregation process, a round colony reminiscent of the Eden model, a colony with a straight and densely branched structure similar to the dence branching, morphology, a colony spreading without any openings, and a colony with concentric rings, on plates with various agar and nutrient concentrations. The microstructures of these colonies were also characteristic and dynamic. The patterns of these bacterial colonies were thought to grow in relation to the diffusion of nutrient in the agar plate.     

山西蕨类植物区系及分布特点的初步研究

本文对山西省蕨类植物区系成分进行了初步分析并总结了其区系特征,同时对其生态分布特点也进行了归纳,而且还对蕨类植物资源的开发利用提出了建议。     

龙牙百合3个地方品种的形态特征及核型分析

采用经典测量和染色体常规压片法,对龙牙百合（Lilium brownii var.viridulum Baker）3个地方品种的形态特征及核型进行研究。植株形态分析结果显示：‘江西’龙牙的株高、开花口径、种球重量和周长、中外层鳞片重量和长度以及鳞片扦插产生小鳞茎数等指标均显著大于‘大叶’龙牙和‘平头’龙牙;‘大叶’龙牙的叶片最长,均值为14.54 cm。花粉、叶表皮气孔及鳞片淀粉粒的微形态特征分析结果显示：‘江西’龙牙的花粉粒径最大,均值达111.76 μm;‘平头’龙牙的叶表皮气孔最长,气孔密度也最大（约47.6个/mm²）;‘大叶’龙牙的淀粉粒径最大,均值为47.61 μm;‘江西’龙牙的淀粉粒大小分布更集中,差异性小。染色体核型分析结果显示：龙牙百合3个品种的染色体数目均为2n=2x=24,为二倍体,其中‘江西’龙牙核型公式为2n=2x=24=2m（2SAT）+6sm（2SAT）+12st（4SAT）+4t;‘平头’龙牙核型公式为2n=2x=24=4m+8sm+10st（4SAT）+2t;‘大叶’龙牙核型公式为2n=2x=24=2m（2SAT）+6sm+14st（4SAT）+2t,三者核型均为3B型。     

科尔沁沙地景观格局特征分析

用修改分维数,分维数和景观多样性指数方法,对科尔沁沙地没沙漠化土地景观空间格局２进行了研究。结果表明,在所划分的人工固沙区,围封保护区和流动沙丘区三种沙地景观类型中,人工固沙区景观空间格局最复杂,修改分维数Ｄｍ为１．５４７６;其次为围封保护区Ｄｍ为１．４９７５;流动沙丘景观格局最简单Ｄｍ为１．４２０５。     

LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals

Electroencephalography (EEG) signals collected from human brains have generally been used to diagnose diseases. Moreover, EEG signals can be used in several areas such as emotion recognition, driving fatigue detection. This work presents a new emotion recognition model by using EEG signals. The primary aim of this model is to present a highly accurate emotion recognition framework by using both a hand-crafted feature generation and a deep classifier. The presented framework uses a multilevel fused feature generation network. This network has three primary phases, which are tunable Q-factor wavelet transform (TQWT), statistical feature generation, and nonlinear textural feature generation phases. TQWT is applied to the EEG data for decomposing signals into different sub-bands and create a multilevel feature generation network. In the nonlinear feature generation, an S-box of the LED block cipher is utilized to create a pattern, which is named as Led-Pattern. Moreover, statistical feature extraction is processed using the widely used statistical moments. The proposed LED pattern and statistical feature extraction functions are applied to 18 TQWT sub-bands and an original EEG signal. Therefore, the proposed hand-crafted learning model is named LEDPatNet19. To select the most informative features, ReliefF and iterative Chi2 (RFIChi2) feature selector is deployed. The proposed model has been developed on the two EEG emotion datasets, which are GAMEEMO and DREAMER datasets. Our proposed hand-crafted learning network achieved 94.58%, 92.86%, and 94.44% classification accuracies for arousal, dominance, and valance cases of the DREAMER dataset. Furthermore, the best classification accuracy of the proposed model for the GAMEEMO dataset is equal to 99.29%. These results clearly illustrate the success of the proposed LEDPatNet19.     

农田生态条件下玉米秸杆腐解过程腐解物的热解变化特征

用热分析法研究了农田生态条件下玉米秸杆腐解过程腐解物的热解变化特征 ,并探讨了腐解物中不同组分对腐解物热解特征的影响。结果表明 ,腐解物 DTA曲线的 2 80℃、3 3 0℃、4 50℃放热峰 ,DTG曲线的第二失重峰和 h330℃ /h4 50℃ 值可作为表征腐解进程的特征峰和特征值。由腐解物 DTA、DTG所得能量各参数 ( ΔH,E)与文献 [3 ]所述腐解物能态 ( Qv)呈现波动起伏 ,趋于稳定 2个阶段相符 ,二者相互印证 ,显示热分析方法用于植物残体腐解进程研究的可行性。 DTA的2 80℃放热峰主要由苯 -醇溶性物、水溶性物引起。苯 -醇溶性物、水溶性物和纤维素、半纤维素是影响腐解物热解及其能态变化特征的主要物质组分。木质素组分对腐解后期腐解物的热解及其能态特征趋于稳定具有重要作用