Electrochemical electron beam lithography: Write, read, and erase metallic nanocrystals on demand.

We develop a solution-based nanoscale patterning technique for site-specific deposition and dissolution of metallic nanocrystals. Nanocrystals are grown at desired locations by electron beam-induced reduction of metal ions in solution, with the ions supplied by dissolution of a nearby electrode via an applied potential. The nanocrystals can be "erased" by choice of beam conditions and regrown repeatably. We demonstrate these processes via in situ transmission electron microscopy using Au as the model material and extend to other metals. We anticipate that this approach can be used to deposit multicomponent alloys and core-shell nanostructures with nanoscale spatial and compositional resolutions for a variety of possible applications

Electronic circuit implementation of chaos synchronization

In this paper, an electronic circuit implementation of a robustly chaotic two-dimensional map is presented. Two such electronic circuits are realized. One of the circuits is configured as the driver and the other circuit is configured as the driven system. Synchronization of chaos between the driver and the driven system is demonstrated

Structure and Rheology of the Defect-gel States of Pure and Particle-dispersed Lyotropic Lamellar Phases

We present important new results from light-microscopy and rheometry on a moderately concentrated lyotropic smectic, with and without particulate additives. Shear-treatment aligns the phase rapidly, except for a striking network of oily-streak defects, which anneals out much more slowly. If spherical particles several microns in diameter are dispersed in the lamellar medium, part of the defect network persists under shear-treatment, its nodes anchored on the particles. The sample as prepared has substantial storage and loss moduli, both of which decrease steadily under shear-treatment. Adding particles enhances the moduli and retards their decay under shear. The data for the frequency-dependent storage modulus after various durations of shear-treatment can be scaled to collapse onto a single curve. The elasticity and dissipation in these samples thus arises mainly from the defect network, not directly from the smectic elasticity and hydrodynamics.Comment: 19 pages inclusive of 12 PostScript figures, uses revtex, psfrag and epsfig. Revised version, accepted for publication in Euro. Phys. J. B, with improved images of defect structure and theoretical estimates of network elasticity and scalin

FDI Accounting in India and China: A Need for Harmonization

The objective of this paper is to initiate discussions on standardizing the method for measuring Foreign Direct Investment (FDI) across countries. It is important to use consistent method so that there is a faithful representation of a country\u27s investment climate and the information is relevant for the purpose of foreign investors. India and China measures Foreign Direct Investment (FDJ) using two different methods. India measures FDI on the basis of equity investments, whereas China includes certain items which do not strictly fall under the purview of FDI. Inclusion of items other than equity increases the reported FDI in China. It is presumed that overall higher reported FDI makes China appear more attractive than India. Our findings suggest that once adjustments for the definitionsare made, difference between the FDI in China and India decreases substantially

Dog Breed Identification using ResNet Model

As dogs are domestic animals due to the many numbers of dog breeds available around the world. It’s hard to find out the exact dog breed name for a common person. There are many techniques available to identify dog breed. But the proposed work introduced the new technique called RESNET which is the part of CNN to classify dog. RESNET is used to identify images. It helps to perform different tasks on larger datasets. Identification of different dogs is one of the important applications of Convolutional Neural networks. Since the identification of dog breeds is very difficult because they spread in a large number and it makes very hard for a person to identify or classify dogs. With the help of Keras and TensorFlow, a dataset is created, tested, and trained for the detection of dog breeds by using RESNET. Around 120 different dog breeds are present in the dataset which consist of 20600 images of dogs. From this paper, load these images and convert them into a NumPy array and normalize them. Then,100 epochs were used with a batch size of 128 to achieve the best accuracy. The model is saved for further process to create a web application to identify the dog

Evaluation of anxiolytic activity of encapsulated flax seed oil alone and as an adjuvant in Swiss Albino mice

Background: Anxiety is a psychological and physiological state characterized by somatic, emotional, cognitive, and behavioural components with displeasing feeling of fear and concern. Among all the antianxiety drugs benzodiazepines are commonly employed drugs for the treatment but they do have limitations. Considering the high prevalence of anxiety disorders and lack of an ideal anxiolytic drug, search for better anxiolytic drugs continue. Medicinal plants are an inexhaustible source and continue to get explored in the search for new drugs.Methods: Antianxiety activity of Flax seed oil was evaluated in mice using Light-Dark Arena model and Elevated Plus Maze model. Encapsulated Flax seed oil (10ml/kg and 20ml/kg), Diazepam (1mg/kg), Normal saline (10ml/kg) and combination of Encapsulated Flax seed oil and Diazepam (10ml/kg + 1mg/kg) were given orally to the randomly divided 5 groups of 6 animals each. Number of entries and time spent in light arena of Light-Dark Arena model and in open arm of Elevated Plus Maze model were noted and compared among the 5 groups. Observations were analysed using ANOVA and Post hoc Tukey’s test.Results: Encapsulated Flax seed oil alone as well as an adjuvant to Diazepam showed significantly increased number of entries and time spent in light arena of Light-Dark Arena model (<0.05). It also showed significantly (<0.05) increased time spent but not number of entries in open arm of Elevated Plus Maze model.Conclusions: Encapsulated Flax seed oil showed anxiolytic property in Light-Dark arena model and Elevated plus maze model

Impact of elevated temperature on root traits and microbial interaction in cotton (Gossypium hirsutum L.) genotypes

Climate change mainly alters the plant phyllosphere and rhizosphere resource allocations. Compared with shoot parameters, there is less information about how roots, especially root system architecture (RSA) and their interactions with others, may respond to elevated temperature changes. These responses could greatly influence different species acquisition of resources and their competition with their neighbours. The main aim of this experiment was to evaluate the effects of ambient temperature (T1) and elevated temperature (+4oC) (T2) in Open-top chamber (OTC) on root traits and microbial interaction changes in cotton (Gossypium hirsutum L.). A pot experiment was conducted at the Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore, during 2020-2021 to investigate the root traits and microbial interactions. Cotton varieties, namely KC3, SVPR6, TSH325, TSH357 and TSH375 were screened at the seedling level for cellular thermo tolerance and further, at the root level, these selected varieties were studied against the elevated temperature condition for 10 days in OTC during the stage of flowering to boll development period along with control temperature condition. Root interactions' intensity and direction may fluctuate as a result of variations in RSA responses between species. Negative root interactions could become more intense under high temperature circumstances and species with bigger roots and greater early root growth had stronger competitive advantages. The present findings showed that elevated temperatures promote various microbial growths in the geothermal regions, enhancing the root angle and root length of cotton species. Among the genotypes, KC3 and SVPR6 performed better under elevated temperatures.

Effect of Temperature induction response on Cell viability, Cell Survivability, Malondialdehyde content and total soluble protein content of cotton (Gossypium hirsutum L.) genotypes

“Temperature Induction Response” (TIR) technique was employed to investigate the effect of temperature on popular 20 cotton (Gossypium hirsutum L.) genotypes in a laboratory experiment conducted at the Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore during 2020-2021. Identical sized ten days old cotton seedlings were selected and subjected to inductive temperature (gradual temperature raised from 28 to 40℃) for 4 h and non-inductive temperature (46℃ for 3 h, 47℃ for 3 h, 48℃ for 3 h and 48℃ for 4 h) for specific time duration. KC3 and SVPR6 recorded highest thermotolerance among the genotypes and TSH325 and TSH357 showed moderate thermotolerance while TSH375 and TSH383 were sensitive, in terms of seedling survival, cell viability, total soluble protein and malondialdehyde compared to remaining genotypes under non-inductive temperature

Identification of medical countermeasures for mustard-induced corneal blindness using RNA-seq analysis

Introduction: Serious visual damage can arise from exposure to sulfur mustard (SM). Some eyes acquire permanent late ocular diseases that may cause corneal blindness, while some of the eyes demonstrate clinical resolution of the SM-injury. Improved treatment options may result from a better understanding of the pathogenic mechanisms that underlie the emergence of late pathology. Methods: The purpose of this study was to investigate the mRNA expression profiles of SM-induced damaged, undamaged, and naive corneas. RNA sequencing (RNA-seq) data (4 weeks post SM exposure) were used for differential expression (DE) analysis. The DE analysis of the damaged cornea group compared with the naive cornea group yielded a total of 5930 differentially expressed genes (upregulated:3196, downregulated:2734). The undamaged corneal group compared to the naive cornea group yielded 1884 differentially expressed genes (upregulated:1029, downregulated:855). When the damaged corneal group was compared with the undamaged corneal group, a total of 985 differentially expressed genes (upregulated: 308, downregulated: 677) were found. The log2(FC)[plus or minus] 2 and adjusted p[less than]0.05 were considered for screening of differentially expressed genes. The DE profiles were further subjected to pathway enrichment analysis. Results: The cell proliferation and differentiation pathways were studied to extract the top five upregulated genes (BTBD16, HEPACAM2, SLC15A3, L1CAM, MED17) common to both pathways. Furthermore, pathway analysis of cell migration, cell death, apoptotic processes, cell adhesion, extracellular matrix, and tumor necrosis factor production for the identification of novel genes and therapeutic targets is underway. Conclusion: This bioinformatic analysis shows promise for identifying novel therapeutic genes and pathways for keratopathy