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

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

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

Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. For example, in astronomy, NumPy was an important part of the software stack used in the discovery of gravitational waves1 and in the first imaging of a black hole2. Here we review how a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring and analysing scientific data. NumPy is the foundation upon which the scientific Python ecosystem is constructed. It is so pervasive that several projects, targeting audiences with specialized needs, have developed their own NumPy-like interfaces and array objects. Owing to its central position in the ecosystem, NumPy increasingly acts as an interoperability layer between such array computation libraries and, together with its application programming interface (API), provides a flexible framework to support the next decade of scientific and industrial analysis. NumPy is the primary array programming library for Python; here its fundamental concepts are reviewed and its evolution into a flexible interoperability layer between increasingly specialized computational libraries is discussed.

/pdf/array-programming-with-numpy-31s3jl24ra.pdf

Array programming with NumPy

H2 sensing performance of novel Pd–Pt alloy films has been compared with those obtained by using Pd films and H2-reducted PdO films. Two different detecting systems were used to measure the hydrogenation and de-hydrogenation phases with a H2 concentration of both 5% v/v nitrogen and 1% v/v nitrogen at room temperature. The sensitivity loss observed for the Pd–Pt alloy and H2-reducted PdO samples with respect to pure Pd samples can be explained in terms of the reduction in the lattice constant and interstitial volume due to the Pt addition, which determine a decrement of hydrogen atoms penetrating in the films. On the other hand, results show an improvement in time -response for Pd–Pt alloy and H2-reducted PdO films with respect to pure Pd ones, presumably due to the increase of its permeability to H2. Moreover, the sensing measurements repeated after 60 days show that the Pd–Pt alloy films, unlike the Pd-based ones, fully preserve their performances, demonstrating the advantage of the Pt inclusion for stability purposes when the samples are stored upon humidity.

Room-temperature sensing performance of hydrogen using palladium-based film by optical setup

Transmission Raman spectroscopy experiments as a function on time were carried out on iron doped photorefractive congruent lithium niobate crystals. A big change with time in Raman spectra is observed when the incident light is polarized along ordinary axis. The mentioned breaking of Raman selection rules is originated by photorefractive properties of the crystal.

https://hal.archives-ouvertes.fr/hal-01582077/document

Photorefractive Lithium Niobate crystals: light polarisation rotation highlighted by transmission Raman spectroscopy

A new approach for obtaining in short time highly efficient photorefractive holographic gratings in
lithium niobate is presented. The method consists in decreasing the sample conductivity by cooling it
down to liquid nitrogen temperature. In this way the initial slope of the writing curve is largely amplified,
which makes possible to achieve in short time diffraction efficiencies one order of magnitude larger than
at room temperature in the same conditions. Simple theoretical estimates show that in this way, provided
that the proper experimental conditions are met, unit efficiency should be reachable in times much shorter
than typical ones.

Giant increase of photorefractive effect in lithium niobate: a new approach

/pdf/directed-energy-accelerated-lightsails-4g90i3a0f4.pdf

Directed Energy Accelerated Lightsails

Solitonic technology offers many advantages for the realization of waveguides as they can be written in any point of the volume of the host material, their configuration can be dynamically changed and the induced refractive index variation is optimized Furthermore waveguides are monomodal and propagation losses are much lower than what can be obtained with the other technologies

Marco Bazzan

Papers

Room-temperature sensing performance of hydrogen using palladium-based film by optical setup

Photorefractive Lithium Niobate crystals: light polarisation rotation highlighted by transmission Raman spectroscopy

Giant increase of photorefractive effect in lithium niobate: a new approach

Directed Energy Accelerated Lightsails

Solitonic waveguide laser in erbium doped lithium niobate