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Groundnut is an important oilseed crop of the Indian subcontinent. Yield losses due to fungal diseases are enormous in the cultivation of this crop. Over-expression of PR proteins leads to increased resistance to pathogenic fungi in several crops. The PR protein glucanase hydrolyses a major cell-wall component, glucan, of pathogenic fungi and acts as a plant defense barrier. We report in this paper, overexpression of a tobacco glucanase in transgenic groundnut and its resistance towards Cercospora arachidicola and Aspergillus flavus. PCR, Southern and Northern hybridization confirmed stable integration and expression of the glucanase gene in groundnut transgenics. When screened for resistance against Cercospora arachidicola the transgenics showed not only reduction in the number of spots but also delay in the onset of disease. Resistance was also demonstrated against one another important pathogen of groundnut, Aspergillus flavus. The transgenics not only resisted hyphal spread but also did not accumulate aflatoxin in the seeds. The results demonstrate the potential of a PR protein from a heterologous source in developing fungal disease resistant groundnut.

The amenability and reproducibility of a tissue culture-independent Agrobacterium tumefaciens- mediated transformation strategy was analyzed in field bean and the stability of the transgenes was examined. The protocol involves in planta inoculation of embryo axes of germinating seeds and allowing them to grow into seedlings ex vitro . Transformants were raised using a chimeric Bt gene, cry 1AcF, and putative transformants were analyzed by PCR for both cry 1AcF as well as the npt II genes. Bioassays against Helicoverpa armigera , the major pod borer, showed that several T 1 plants performed well with 17% of T 1 plants harboring the transgene. Further, enzyme-linked immunosorbent assay (ELISA) and quick dip strip test confirmed the expression of the chimeric Bt toxin. The stability of the transgenes was checked in three generations for integration, expression, and efficacy against the two insects, H. armigera and Spodoptera litura . Southern blot analysis of 10 high expressing plants confirmed the integration of the transgene, whereas single copy integration of the T-DNA in 5 events was also evident. Transcript accumulation of the cry 1AcF gene by Northern analysis supported the expression analysis by ELISA. Likewise, Western blot analysis for the NPTII protein further confirmed the transgenic nature of the plants. At the end of the analysis in the T 3 generation, five plants from five T 1 events were selected as promising. Therefore, the study proved not only the amenability of the field bean to the transformation protocol but also the stability of the introduced genes through three generations.

Artificial intelligence (AI) has made great achievements in recent years toward treating a wide range of diseases and conditions, cancer included. Automatic feature extraction is a hallmark of deep learning (DL), a subfield of AI that excels at integrating and analysing massive, complex datasets. AI, and in particular deep learning (DL), has been used to numerous facets of oncology research, and it has the potential to enhance cancer detection and therapy because it is based on large amounts of medical data and state-of-the-art computational techniques. Early cancer detection, diagnosis, classification, and grading; molecular characterisation of tumours; outcome and response prediction; individualised treatment; and automated radiation workflows are all examples. Things like finding new cancer treatments, conducting clinical studies, and implementing automated radiotherapy workflows all fall under this category. The purpose of this introductory article was to provide readers with a foundational understanding of artificial intelligence (AI), explore AI's current and prospective uses in cancer detection and treatment, and highlight some of the obstacles still in the way. We expect that as the adoption of AI in healthcare expands, so too will the availability of AI-enhanced cancer treatment.

Due to the advent of the global pandemic, numerous existing challenges, as well as business, have deeply impacted the operations of Governments across the globe. On the other hand, the situation also has spread its influence over industry employees and the purchasing behavior of the consumers. During the world pandemic crisis, worldwide governmental and non-governmental organizations tend to adopt a strong block chain-based data preserving system to detect any suspicious malware behaviors over their business systems. Previously, while managing data protection and privacy, scientists have identified the fact that artificial intelligence possesses several limitations. Scientists within an AI-learning model have identified the data protection and cryptographic algorithms agents related to efficient cyber security systems in the IoT service circumstances. Researchers have gathered relevant information about the role of AI-learning environment systems over classifying and extracting incomplete and damaged data gaps from the original big datasets. In order to comprehend the role of block chain-based data preserving models on data protection and privacy, the researchers tend to investigate all the gathered secondary data regarding this particular topic from valid sources. However, the descriptive research design and a positivism philosophy used in the particular research study at once help researchers to identify the actual role of block chain-based data preserving security systems within an IoT environment. All the research findings and analysis helps in understanding the characteristics of AI-learning in a block chain-based data preservation model for better data privacy and security

Ulcers are a potentially debilitating condition that can arise in people for a number of reasons, including prolonged exposure to anti-inflammatory drugs, stress, and other factors. Ulcers are notoriously difficult to pin down to a specific cause; however, it is generally accepted that they are brought on when the body's natural defence mechanisms are unable to maintain the mucosal lining's integrity in the face of agressive factors. As a consequence of this, researchers are continuously investigating the gastroprotective properties of a wide variety of medicinal plants in an effort to find new ways to enhance currently available anti-ulcer drugs. We carried out an exhaustive phytochemical analysis in order to find out what kinds of biologically active compounds are found in the young leaves of Anogeissus latifolia. Some of the compounds that we looked for were glycosides, alkaloids, amino acids, carbohydrates, flavones, phenols, proteins, reducing sugars, saponins, steroids, tannins, and triterpenoids. Other compounds that we found included amino acids, flavones, and phenols. To accomplish what we set out to do, some examples of solvents that may be utilised include acetone, benzene, chloroform, ether, methanol, and distilled water. In addition to alkaloids, the research revealed the presence of amino acids, carbohydrates, flavones, phenols, proteins, reducing sugars, saponins, steroids, tannins, and triterpenoids. The acetone extract of A. latifolia, which comprised 90% of the total volume, had therapeutic potential. During the course of this experiment, an acid-neutralizing power of an aqueous extract was evaluated for its capacity to suppress the formation of ulcers. At a concentration of 1500 mg, the acid-neutralizing capacity (ANC) was significantly reduced by the extract, coming in at 9.33 rather than 15.7 when compared to the standard combination of aluminium hydroxide and magnesium hydroxide (500mg).

Chronic kidney disease (CKD) is a serious risk factor for the health of communities all over the world because the majority of treatments now available are insufficient. Early CKD diagnosis and therapy are crucial for both preventing and delaying the progression of the condition. Nanoparticles (NPs), which vary in particle size, charge, shape, and density of targeting ligands, are associated with enhancement of the pharmacokinetic properties, target ability, or bioavailability of medications. The form of nanoparticles can also be used to classify them. As a result, the entry of NPs into the medical profession has led to the creation of cutting-edge techniques for the potential diagnosis and treatment of CKD. This article gives a summary of the present experimental research, clinical applications of NPs, issues currently being addressed, and prospective future developments in the identification and management of chronic kidney disease (CKD)

Groundnut is an important oilseed crop of the Indian subcontinent. Yield losses due to fungal diseases are enormous in the cultivation of this crop. Over-expression of PR proteins leads to increased resistance to pathogenic fungi in several crops. The PR protein glucanase hydrolyses a major cell-wall component, glucan, of pathogenic fungi and acts as a plant defense barrier. We report in this paper, overexpression of a tobacco glucanase in transgenic groundnut and its resistance towards Cercospora arachidicola and Aspergillus flavus. PCR, Southern and Northern hybridization confirmed stable integration and expression of the glucanase gene in groundnut transgenics. When screened for resistance against Cercospora arachidicola the transgenics showed not only reduction in the number of spots but also delay in the onset of disease. Resistance was also demonstrated against one another important pathogen of groundnut, Aspergillus flavus. The transgenics not only resisted hyphal spread but also did not accumulate aflatoxin in the seeds. The results demonstrate the potential of a PR protein from a heterologous source in developing fungal disease resistant groundnut.

Groundnut is an important oilseed crop of the Indian subcontinent. Yield losses due to fungal diseases are enormous in the cultivation of this crop. Over-expression of PR proteins leads to increased resistance to pathogenic fungi in several crops. The PR protein glucanase hydrolyses a major cell-wall component, glucan, of pathogenic fungi and acts as a plant defense barrier. We report in this paper, overexpression of a tobacco glucanase in transgenic groundnut and its resistance towards Cercospora arachidicola and Aspergillus flavus. PCR, Southern and Northern hybridization confirmed stable integration and expression of the glucanase gene in groundnut transgenics. When screened for resistance against Cercospora arachidicola the transgenics showed not only reduction in the number of spots but also delay in the onset of disease. Resistance was also demonstrated against one another important pathogen of groundnut, Aspergillus flavus. The transgenics not only resisted hyphal spread but also did not accumulate aflatoxin in the seeds. The results demonstrate the potential of a PR protein from a heterologous source in developing fungal disease resistant groundnut.[PUBLICATION ABSTRACT]