Nuclear Weapon and Military Equipment

Military equipment must survive a, nuclear attack if enough personnel required to operate them remain combat effective. To achieve this goal, the criteria that determine equipment survivability should be established and any new design should incorporate these criteria to evolve a hardened design. An analysis of the overall response by considering the response to each individual nuclear environment can result in a balanced overall hardened system. The paper discusses the criteria required to be known

The 2005 Nobel Prize in Physics: Optics

This article does not have an abstract

Automated Plant Disease Recognition using Tasmanian Devil Optimization with Deep Learning Model

Plant diseases have devastating effects on crop production, contributing to major economic loss and food scarcity. Timely and accurate recognition of plant ailments is vital to effectual disease management and keeping further spread. Plant disease classification utilizing Deep Learning (DL) has gained important attention recently because of its potential to correct and affect the detection of plant diseases. DL approaches, particularly Convolutional Neural Networks (CNNs) demonstrate that extremely effective in capturing intricate patterns and features in plant leaf images, allowing correct disease classification. In this article, a Tasmanian Devil Optimization with Deep Learning Enabled Plant Disease Recognition (TDODL-PDR) technique is proposed for effective crop management. The TDODL-PDR technique derives feature vectors utilizing the Multi-Direction and Location Distribution of Pixels in Trend Structure (MDLDPTS) descriptor. Besides, the deep Bidirectional Long Short-Term Memory (BiLSTM) approach gets exploited for the plant disease recognition. Finally, the TDO method can be executed to optimize the hyperparameters of the BiLSTM approach. The TDO method inspired by the foraging behaviour of Tasmanian Devils (TDs) effectively explores the parameter space and improves the model's performance. The experimental values stated that the TDODL-PDR model successfully distinguishes healthy plants from diseased ones and accurately classifies different disease types. The automated TDODL-PDR model offers a practical and reliable solution for early disease detection in crops, enabling farmers to take prompt actions to mitigate the spread and minimize crop losses

NaCl as a physiological modulator of synthesis of compatible solutes and antioxidant potential in sangam (Clerodendron inerme L.)

The present investigation was made to study the effect of different concentrations of sodium chloride on the proline (PRO), glycine betaine (GB), sugar and antioxidant content of the halophytic species, Clerodendron inerme. The plant could survive a wide range of 100-1000 mM of NaCl. The upper limit for the survival of the species was 500 mM. Above 500 mM, the seedlings could not survived. However, favorable growth response by the seedlings was confined to 200 mM NaCl. The accumulation of PRO, GB was more in leaf tissue than the stem and root of NaCl treated plants. PRO, GB content is believed to function as a compatible solute in balancing cytoplasmic and vacuolar water potentials not only due to salinity stress but also under drought, heat and cold stresses. Increasing salinity increased the level of PRO, GB up to the extreme level of 500 mM NaCl. The sugar content decreased in all the three tissues with increasing NaCl up to 200 mM and at higher concentrations, salinity gradually increased the sugar up to 500 mM NaCl. Survival of plants in the saline environment depends on the quantitative ratio between toxic and protective compounds PRO; GB is believed to be one of the protective substances. The non-enzymatic antioxidant contents such as ascorbic acid and α-tocopherol were detected under high concentration of 500 mM NaCl. The increase in antioxidant enzyme activity could be the response of cellular damage induced by the NaCl

EFFECT OF MUCUNA COCHINCHINENSIS EXTRACTS ON EFFLUX PUMP IN FUNGAL STRAINS

Objective: To study the efflux pump inhibition activity of Mucunacochinchinensis extracts Methods: Sensitivity assay was performed by Kirby Bauer technique. Effluxing ability of microbe was done by accretion, accumulation and efflux pump assays. Results: Resistant fungal strains were subjected to efflux ability studies. Maximum effluxing ability was determined from the experimental data and it was found to be 105 min and 75 min by Candida albicans for methanolic extract of M. cochinchinenesis (MMC) and ethanolic extract of M. cochinchinensis (EMC) respectively and 45 min and 105 min by Aspergillus niger for MMC and EMC respectively. Profound synergistic effect of inhibition was observed with combined MMC and standard Clotrimoxazole when compared to the standard alone; against C. albicansindicates the modulating efficacy of MMC. Conclusion: M. cochinchinensis extracts showed efflux pump modulating activity

MATRIX TRANSFORMS OF SUBSPACES OF SUMMABILITY DOMAINS OF NORMAL MATRICES DETERMINED BY SPEED

Let X, Y be two subspaces of summability domains of matrices with real or complex entries defined by speeds of the convergence, i.e.; by monotonically increasing positive sequences λ and µ. In this paper, we give necessary and sufficient conditions for a matrix M (with real or complex entries) to map X into Y , where X is the subspaces of summability domain of a normal matrix A defined by the speed λ and Y is the subspace of a lower triangular matrix B defined by the speed µ. As an application we consider the case if A is the Riesz method (R, p_n)

Effect of Poro and Thermo Elasticity on the Evolution of Fracture Permeability in A Coupled Fracture-Skin-Matrix System

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv