There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release. SciPy has become a de facto standard for leveraging scientific algorithms in the Python programming language, with more than 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories, and millions of downloads per year. This includes usage of SciPy in almost half of all machine learning projects on GitHub, and usage by high profile projects including LIGO gravitational wave analysis and creation of the first-ever image of a black hole (M87). The library includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics. In this work, we provide an overview of the capabilities and development practices of the SciPy library and highlight some recent technical developments.

/pdf/scipy-1-0-fundamental-algorithms-for-scientific-computing-in-111lr790ol.pdf

SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

Fusion of selected regions of mycobacterial antigens for enhancing sensitivity in serodiagnosis of tuberculosis.

/pdf/prevalence-and-control-of-listeria-monocytogenes-in-the-food-4orssr8p1u.pdf

Prevalence and control of Listeria monocytogenes in the food industry – a review

Plant growth promoting rhizobacteria (PGPR) are used for seed inoculation. This study was carried out to determine the influence of seed inoculation with PGPR and different nitrogen (N) and phosphorus (P) levels on the productivity and quality of fodder sorghum. The study was conducted in randomized complete block design (RCBD) under factorial arrangement at Agronomic Research Area, University of Agriculture, Faisalabad during, 2014. The experiment composed of N and P levels such as 0%, 50%, 75% and 100% of recommended doses ha -1 and seed inoculation with PGPR 1 ( Azotobacter brasilense + Pseudomonas fluorescens ) and PGPR 2 ( Azotobacter chroococcum + Pseudomonas flurescens ) with un-inoculated seeds as control. The results revealed that application of N and P, and seed inoculation appreciably increased the productivity and quality of sorghum. Maximum green fodder yield (63.12 t ha -1 ), dry matter yield (14.51 t ha -1 ), crude protein (11.02%) and ash contents (8.97%) were recorded with recommended dose of NP. Regarding seed inoculation maximum green fodder yield (62.40 t ha -1 ), dry matter yield (14.09 t ha -1 ), crude protein (10.59%) and ash contents (9.07%) were recorded with PGPR 1. In conclusion, application of recommended dose of NP and seed inoculation with PGPR 1 significantly improved the forage productivity and quality of sorghum.

PGPR Inoculated-Seed Increases the Productivity of Forage Sorghum under Fertilized Conditions

Adiabatic to non adiabatic change in conduction mechanism of Zn doped La0.67Sr0.33MnO3 perovskite

Prebiotics are considered as non-digestible food ingredients that stimulate the growth of beneficial gut bacteria, thus contribute to the health of the host. Recent evidences have suggested that prebiotics treatment may become one of the key therapeutic strategies for many diseases, especially for cancer. In our previous studies, both Gynostemma pentaphyllum saponin (GpS) and Ganoderma lucidum polysaccharides (GlP) demonstrated significant prebiotic effects in mouse models. In addition, GpS alone exerted significant anti-tumor effect by restoring the dysbiosis of the gut microbiota and microenvironment of the ApcMin/+mice. Thus, we hypothesized that supplement with GlP might enhance the anti-cancer effect of GpS through the modulation of the gut microbiota. To test the hypothesis, we treated ApcMin/+mice with four different treatments, i.e. GlP (750mg/kg), GpS (300mg/kg), GlP (750mg/kg) + GpS (300mg/kg) and the drinking water control. The results showed that GlP+GpS was more effective in suppressing the polyp growth compared to the GpS or GlP groups. GlP+GpS also improved the health of gut barriers by inducing Paneth cells and goblet cells, and reinstating the E-cadherin and N-cadherin expressions in a greater extend compared to the other groups. All treatments facilitated the polarization of M1 macrophage to M2 macrophage, and increased the anti-inflammatory cytokines (IL-4 and IL-10). Interestingly, expressions the SCFA receptors, GPR 43, 49 and 119 were markedly elevated in all treatment groups, with the most prominent expression observed in the GlP+GpS group. 16S rRNA sequencing data were analyzed by using alpha diversity analysis and weighted UniFrac distance analysis. Differential alterations of the composition of gut microbiota were observed in all treatment groups. Certain bacteria (Anoerodtipe, Bacteroides, Clostridium, Citribacter, Subdoligranulum, C. leptum) associated colitis and colorectal carcinoma were significant decreased, while some SCFA-producing bacteria (Blautia sp., Eubacterium saphenum, Clostridium aminobutyricum) were enhanced in the treated groups. We concluded that the anti-tumor effects of GpS and GlP might be in part through the modulation of the gut microbiota and the improvement of epithelial microenvironment, and the stronger effects were produced by the GpS+ GlP combined treatment. [This study was supported by Macau FDCT 015/2014/A1 and 103/2016/A3] Citation Format: Xiao-ang Li, Guoxin Huang Huang, Imran Khan, Wen-rui Xia, Wai kit Leong, W.L. Wendy Hsiao. Cooperative effects of mushroom polysaccharides and herbal saponins on tumor growth and gut microenvironment in ApcMin/+mice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5144.

Imran Khan

Papers

Fusion of selected regions of mycobacterial antigens for enhancing sensitivity in serodiagnosis of tuberculosis.

Prevalence and control of Listeria monocytogenes in the food industry – a review

PGPR Inoculated-Seed Increases the Productivity of Forage Sorghum under Fertilized Conditions

Adiabatic to non adiabatic change in conduction mechanism of Zn doped La0.67Sr0.33MnO3 perovskite

Abstract 5144: Cooperative effects of mushroom polysaccharides and herbal saponins on tumor growth and gut microenvironment in ApcMin/+mice