Effect of shape on mechanical properties and deformation behavior of Cu nanowires: An atomistic simulations study

We study the effect of nanowire shape on mechanical properties and deformation behaviour of Cu nanowires using atomistic simulations. Simulations were carried out on $[100]$ nanowires with different shapes such as triangular, square, pentagon, hexagon and circular.Results indicate yield strength is different for different shapes. In both cases, triangular nanowire exhibit the lowest yield strength, while circular nanowire is the strongest. Deformation in all the nanowires is dominated by partials slip and twinning. Due to twinning, different shapes expose different surfaces at the twinned region. All nanowires show ductile failure and square nanowire exhibits the highest failure strain, while it is lowest for triangular nanowire.Comment: 14 pages, 10 Figure

SURVEY, ISOLATION, BIOCHEMICAL CHARACTERIZATION, AND IDENTIFICATION OF HELICOBACTER PYLORI FROM GASTRIC PATIENT BIOPSY

Objective: This study was to isolate and identify the Helicobacter pylori from the biopsy samples of the gastric patient.Methods: Gastric biopsies were collected from the antral region of the gastric patient. Out of 96 patients, 59 males and 37 females in the age group between 11 and 70 years old were selected. A serial dilution of the sample was made. The bacterial colonies were examined on the basis of Gram staining, colony morphology, and biochemical reactions such as catalase, urease, oxidase, nitrate reduction, glycine utilization, growth (different media, different temperature, and salt tolerance), and antibiotic sensitivityResult: From the findings, it was found that 75% (65% of male and 35% of female) have H. pylori infection remaining 25% were not infected. The rate of infection was found to be more in age group 55-65 and less in age group below 25. Among 75% of H. pylori infected patients, 72% are affected with ulcer, 19% with gastric cancer, and 8.3% found to be non-gastric inflammated. Gram staining result declared that the isolated bacteria from the biopsy sample observed to be Gram-negative, spiral shaped rod. Biochemical reports produced positive indication to all the tests.Conclusion: Based on the morphological, staining and biochemical test result, it was confirmed that the isolated bacteria was found to be H. pylori.Gastric cancer is the fourth most common cancer and the second leading cause of cancer-related to death worldwide. In 1994, the international agencyfor research on cancer classified H. pylori as a Class I (definite) carcinogen, as H. pylori infection is considered as an important trigger in the processof carcinogenesis of both types of distal gastric cancer.Â

A Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques

Vision Studio aims to utilize a diverse range of modern deep learning and computer vision principles and techniques to provide a broad array of functionalities in image and video processing. Deep learning is a distinct class of machine learning algorithms that utilize multiple layers to gradually extract more advanced features from raw input. This is beneficial when using a matrix as input for pixels in a photo or frames in a video. Computer vision is a field of artificial intelligence that teaches computers to interpret and comprehend the visual domain. The main functions implemented include deepfake creation, digital ageing (de-ageing), image animation, and deepfake detection. Deepfake creation allows users to utilize deep learning methods, particularly autoencoders, to overlay source images onto a target video. This creates a video of the source person imitating or saying things that the target person does. Digital aging utilizes generative adversarial networks (GANs) to digitally simulate the aging process of an individual. Image animation utilizes first-order motion models to create highly realistic animations from a source image and driving video. Deepfake detection is achieved by using advanced and highly efficient convolutional neural networks (CNNs), primarily employing the EfficientNet family of models

Oyster farming by women self help groups At Wadatar, Sindhudurg district in Maharashtra State

Practical dissemination of bivalve farming technologies in the potential maritime locations of Sindhudurg district was undertaken by ICAR-CMFRI. Initially a demoyster farm was setup in Wadatar, in Sindhudurg District under the UNDP-GEF funded project “Demonstration of bivalve farming at Sindhudurg District in the State of Maharashtra”. The training and demonstration for oyster farming was given to the Self Help Groups-SHG, “Prasidhi” consisting of 10 members. Five hundred strings containing 7,000 numbers of oysters were harvested. Each string consists of 10-15 live oysters. Live oysters were sold at the rate of Rs. 150-200 per dozen. A total profi t of Rs.45,000 was realized. This successful case study can be used as a case manual for group action for bivalve farming technology

Growth Kinetics, Optical studies of Pure and Mg2+ Doped Nickel Cadmium Oxalate Single Crystals

Growth of pure (nickel cadmium oxalate) and Mg2+ doped nickel cadmium oxalate (MNCO) single crystals were grown by the single diffusion gel method at room temperature, by optimizing the various growth parameters such as specific gravity of sodium meta silicate (SMS), gel pH, gel temperature, gel aging, concentration of supernatant solution and concentration of oxalic acid. The morphology and composition of elements present in the crystals were identified using SEM-EDX analysis. The FTIR study shows that the occurrences of C=O, C-O, C-C, O-H and M-O bonding within the crystal lattice. The triclinic crystal system with P-1 space group were identified using, X-ray diffraction method. The absorbance, transmittance, energy gap, refractive index (n), reflectance (R) and insulating behaviour of the grown crystals were analysed using UV-Visible spectrophotometer

Manual on Edible Oyster and Green Mussel Farming कालवं आणि काकई संवर्धन तंत्र प्रशिक्षण पुस्तिका

Manual on Edible Oyster and Green Mussel Farming कालवं आणि काकई संवर्धन तंत्र प्रशिक्षण पुस्तिका (Marathi Version

Cinnamon as a Potential Feed Additive: Beneficial Effects on Poultry Health and Production Performances – An Update

According to the Food and Agricultural Organization, global poultry output increased from approximately 115 million tons in 2016 to around 136 million tons in 2023. Poultry production has increased significantly with the dramatic uptick in meat and egg demand. Feed accounts for between 65 and 70 percent of total production costs, making it the largest chicken industry expense. This is why it's important to maximize the transformation of poultry feed into feed with a high biological value while taking as many steps as possible to protect feed quality and reduce feed costs. The use of feed additives in poultry feed has recently gained popularity and has been essential to increase feed efficiency and growth rate, which typically leads to reduced costs. The meat's texture, consistency, and nutritional content are all improved, and its shelf life is lengthened as a bonus. Feed additives are a fantastic tool for boosting a poultry farm's bottom line. For example, cinnamon (Cinnamomum verum) is often used as a traditional feed supplement. Rather than antibiotics, the poultry industry could benefit from using cinnamon as a natural antibiotic replacement, which would benefit animal welfare, consumer health, and the bottom line. The performance index, feed intake, FCE performance, and weight growth of poultry can all be improved by including cinnamon in the feed at varied concentrations. The digestive health and intestinal microbial population of hens are enhanced by a diet containing bioactive components of cinnamon. Cinnamon essential oils' popularity stems from their many valuable features, such as their ability to increase gastric enzyme synthesis and other biofunctional benefits. This review focuses on the possible advantages of cinnamon as a natural feed supplement for chickens, particularly about their intestinal microbiota, blood chemistry, nutrient absorption, gene expression, and immunology

Genome-Wide Association Data Reveal a Global Map of Genetic Interactions among Protein Complexes

This work demonstrates how gene association studies can be analyzed to map a global landscape of genetic interactions among protein complexes and pathways. Despite the immense potential of gene association studies, they have been challenging to analyze because most traits are complex, involving the combined effect of mutations at many different genes. Due to lack of statistical power, only the strongest single markers are typically identified. Here, we present an integrative approach that greatly increases power through marker clustering and projection of marker interactions within and across protein complexes. Applied to a recent gene association study in yeast, this approach identifies 2,023 genetic interactions which map to 208 functional interactions among protein complexes. We show that such interactions are analogous to interactions derived through reverse genetic screens and that they provide coverage in areas not yet tested by reverse genetic analysis. This work has the potential to transform gene association studies, by elevating the analysis from the level of individual markers to global maps of genetic interactions. As proof of principle, we use synthetic genetic screens to confirm numerous novel genetic interactions for the INO80 chromatin remodeling complex