THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

正しい方法がわかる臨床基本手技 : from the New England journal of medicine

New generation adsorbents for water treatment.

Large-scale electrolysis of water for hydrogen generation requires better catalysts to lower the kinetic barriers associated with the oxygen evolution reaction (OER). Although most OER catalysts are based on crystalline mixed-metal oxides, high activities can also be achieved with amorphous phases. Methods for producing amorphous materials, however, are not typically amenable to mixed-metal compositions. We demonstrate that a low-temperature process, photochemical metal-organic deposition, can produce amorphous (mixed) metal oxide films for OER catalysis. The films contain a homogeneous distribution of metals with compositions that can be accurately controlled. The catalytic properties of amorphous iron oxide prepared with this technique are superior to those of hematite, whereas the catalytic properties of a-Fe100-y-zCoyNizOx are comparable to those of noble metal oxide catalysts currently used in commercial electrolyzers.

https://science.sciencemag.org/content/sci/early/2013/03/27/science.1233638.full.pdf

Photochemical Route for Accessing Amorphous Metal Oxide Materials for Water Oxidation Catalysis

Control of spontaneously emitted light lies at the heart of quantum optics. It is essential for diverse applications ranging from miniature lasers and light-emitting diodes, to single-photon sources for quantum information, and to solar energy harvesting. To explore such new quantum optics applications, a suitably tailored dielectric environment is required in which the vacuum fluctuations that control spontaneous emission can be manipulated. Photonic crystals provide such an environment: they strongly modify the vacuum fluctuations, causing the decay of emitted light to be accelerated or slowed down, to reveal unusual statistics, or to be completely inhibited in the ideal case of a photonic bandgap. Here we study spontaneous emission from semiconductor quantum dots embedded in inverse opal photonic crystals. We show that the spectral distribution and time-dependent decay of light emitted from excitons confined in the quantum dots are controlled by the host photonic crystal. Modified emission is observed over large frequency bandwidths of 10%, orders of magnitude larger than reported for resonant optical microcavities. Both inhibited and enhanced decay rates are observed depending on the optical emission frequency, and they are controlled by the crystals’ lattice parameter. Our experimental results provide a basis for all-solid-state dynamic control
of optical quantum systems.

Controlling the dynamics of spontaneous emission from quantum dots by photonic crystals

A product can be well-defined as an item that is prepared for sale. When any organization is offering any item for sale, then it is called product. A product may be a service provided by any organization. Each product has their cost and sold on a price. Price of any product is determining on the basis of quality of product. Quality of product refers that what number of features are incorporated in the product those are fulfilling the requirements of the customer and how it will be modified so it meets to customer’s expectations. This paper specifies the role of text mining to extract different parameters of product available on different sources in unstructured form and present machine learning technique for enhancing the product quality.

Role of Text Mining to Enhance the Quality of Product Using an Unsupervised Machine Learning Approach

A study has been made to understand the growth history and growth mechanism of flux grown yttrium aluminium garnet (YAG) single crystals. Etching has been done to reveal the growth patterns of flux grown crystals. Optical and scanning electron micrographs are presented. Optical micrographs were taken under polarised light and oblique incident light. The nature and origin of growth hillock is elucidated.

Growth and microscopic studies of yttrium aluminium garnet single crystals

Numerical simulation of supercontinuum generation (SCG) in fluoride based Photonic crystal fiber (PCF) is analyzed using the generalized nonlinear Schrodinger equation and split step Fourier method Fluoride PCF gives a significant bandwidth enhancement of the SCG as compared to silica based PCF with comparable linear and nonlinear parameters

http://ieeexplore.ieee.org/iel7/7403815/7408693/07408760.pdf

Supercontinuum generation in fluoride Photonic crystal fiber

. The power graph of a ﬁnite group G is a simple undirected graph with vertex set G and two vertices are adjacent if one is a power of the other. The enhanced power graph of a ﬁnite group G is a simple undirected graph whose vertex set is the group G and two vertices a and b are adjacent if there exists c ∈ G such that both a and b are powers of c . In this paper, we study the diﬀerence graph D ( G ) of a ﬁnite group G which is the diﬀerence of the enhanced power graph and the power graph of G with all isolated vertices removed. For an arbitrary ﬁnite group G , ﬁrst we study the dominating vertices of D ( G ). We give a necessary and suﬃcient condition on G such that D ( G ) is a star graph, dominatable, split graph, chordal graph, threshold graph and cograph, respectively. Using this, we classify all the nilpotent groups G for which D ( G ) is a star graph, dominatable, split graph, chordal graph, threshold graph and cograph, respectively. Moreover, we characterise all the nilpotent groups whose diﬀerence graphs are bipartite, planar, outerplanar and Eulerian, respectively. In order to study, the diﬀerence graph for non-nilpotent groups, in this paper, we classify all the values of n for which the diﬀerence graph of the symmetric group S n (or alternating group A n ) is cograph and chordal, respectively.

On the Difference Graph of power graphs of finite groups

The waste-to-wealth concept has attracted remarkable attention for generating values out of waste materials along with the effective management of notorious agri-food wastes. Globally, agri-food industries are generating daily mammoth pre- and postprocessing wastes, of which most of the untreated waste fractions are severely leading to environmental problems. This waste can be designed to be valorized in a sustainable way with cutting-edge technologies not only to generate value-added products but also to offer jobs. Valorization of agri-food wastes into alternative and renewable energy generation is a popular practice in several industries to meet the in-house energy requirement as well as for returns to offset the economic constrain of the ongoing process. Moreover, bio-energy from waste has been an efficient alternative resource for the depleting fossil fuel usage, which also improves the carbon footprint of the bioprocess. Today, food waste is a comparatively less explored resource mainly due to its high organic nature. The technological hurdles are associated with utilizing it as the main source for generating valuable bioproducts. The agro-food processing waste has been utilized for the production of bioactive molecules, platform chemicals, biofertilizers, enzymes, etc. 

Jitendra Kumar

Papers

Role of Text Mining to Enhance the Quality of Product Using an Unsupervised Machine Learning Approach

Growth and microscopic studies of yttrium aluminium garnet single crystals

Supercontinuum generation in fluoride Photonic crystal fiber

On the Difference Graph of power graphs of finite groups

Bioprocessing of agri-food processing residues into nutraceuticals and bioproducts