An Analysis of Perception of Regional language (Tamil) Infographics among Physical Education Professionals

Tamil poets have created, named, categorized, summarized and preserved dialects based on dialects in order to preserve the language they speak. Before exploring the importance of numbers in language it is necessary to know the design of grammatical literature. It is possible that the Sanskrit poets called the text grammar of the words when they recorded the language, they created in the journals so that it would be known to the world, and the textual literature of the world empirical biographies based on his quote characters. The words created for measurements such as size and mass are the primary letters of the words and the reasons for giving a special place to measurements in Tamil are explained. In order to give Tamil a lofty place in the world languages ​​in are the numbers to indicate the of an action, the time of action, and the number of soldiers involved in the war. The conclusion of the study is outlined

Crop Prediction and Recommendation Using Ensemble of DL Models

Agriculture remains the primary source of income in India and is characterised by a variety of crops, soil types and climatic conditions. This study suggests an additional ensemble model serving to give effective and speedy predictions and recommendations for crops. During the study data from nearly 8 distinct features was collected from various databases and 2201 instances were finalised. The data focussed on climatic conditions such as temperature, rainfall, crop type and soil features, particularly the ratio of nitrogen, potassium and levels of phosphorous. Research indicates that algorithms such as Neural Networks and XGBoost share high effectiveness and accuracy in developing crop yield prediction models. Extensive research conducted shows that the ensemble of XGBoost and MLP Classifier algorithms provide an accuracy of 99.39%. By predicting crop yield based on historical data, the study aims to give sound recommendations on the crops to be cultivated under various weather and soil conditions

Molecular phylogeny, pathogenicity and toxigenicity of Fusarium oxysporum f. sp. lycopersici

The present study aimed at the molecular characterization of pathogenic and non pathogenic F. oxysporum f. sp. lycopersici strains isolated from tomato. The causal agent isolated from symptomatic plants and soil samples was identified based on morphological and molecular analyses. Pathogenicity testing of 69 strains on five susceptible tomato varieties showed 45% of the strains were highly virulent and 30% were moderately virulent. Molecular analysis based on the fingerprints obtained through ISSR indicated the presence of wide genetic diversity among the strains. Phylogenetic analysis based on ITS sequences showed the presence of at least four evolutionary lineages of the pathogen. The clustering of F. oxysporum with non pathogenic isolates and with the members of other formae speciales indicated polyphyletic origin of F. oxysporum f. sp. lycopersici. Further analysis revealed intraspecies variability and nucleotide insertions or deletions in the ITS region among the strains in the study and the observed variations were found to be clade specific. The high genetic diversity in the pathogen population demands for development of effective resistance breeding programs in tomato. Among the pathogenic strains tested, toxigenic strains harbored the Fum1 gene clearly indicating that the strains infecting tomato crops have the potential to produce Fumonisin

Prostitution Life and Prosperity in Epics

The Science of Anthropology in separate Human Being understand the relationship between the various Human being along Faith, Custom, not written in law and religious belief- Women is most important in human being – In women whore is study the all kinds of Arts and proud in her life – Most beautiful women of whore only bought pariaum in her life – Silapathigaram – Manimegalai letter to Kovalan is the best one in Tamil literature-  Now-a –Day these women’s are well in her life style –  these women are good manner and popular in Novel Literature

Food spoilage alert system by deploying deep learning model

Food waste due to rotting is unquestionably an important resource issue that must be addressed as soon as possible in the next age. Recent technological advancements, such as cloud technology, Deep Learning (DL) may aid in the reduction of food waste. To address the rising issue of food spoilage in everyday situations in the most effective way possible, a DL model is built to distinguish between fresh and rotten fruit. The dataset required for this inquiry was obtained from Kaggle. The raw dataset is pre-processed so that it may be used with the DL model. Detection systems, controllers, and transmission elements make up the functional model. These modules interact with the items, such as the fruits, to collect data, which is then processed using a DL technique, such as CNN, and if there is any degradation in the food, an alert message is sent to the registered user

Assessment of Aristolochia bracteolata leaf extracts for its biotherapeutic potential

The present study focuses on the antibacterial and antifungal activity of the medicinal plant Aristolochia bracteolata. Aqueous, methanol and chloroform extracts of this plant were evaluated against the bacterial strains Escherichia coli, Bacillus subtilis, Staphylococcus aureus, Klebsiella pneumoniae, Pseudomonas fluorescens, Shigella flexneri, Proteus vulgaris and the fungal strains like Aspergillus niger, Aspergillus terreus, Penicillium notatum and Rhizopus stolonifer. Among the three extracts assessed, methanol extract was found to have the significant activity followed by the chloroform extract against certain bacteria. Water extract did not have any activity against bacteria. Antifungal activity assessment indicated that the tested fungal strains are more susceptible to aqueous extract followed by methanol extract and chloroform extract

Comparison of volume-controlled ventilation and pressure-limited ventilation in laparoscopic appendicectomy - a randomized controlled clinical trial

Background: Laparoscopic appendicectomy is a widely performed surgery globally, offering notable benefits such as reduced postoperative pain, quicker mobility, and shorter hospital stays. Aims and Objectives: The study aimed to assess the changes in respiratory mechanics and compare the outcomes of volume-controlled and pressure-limited ventilation (PLV) in patients undergoing laparoscopic appendectomy. Materials and Methods: This randomized, prospective, single-blinded control study was conducted at K.A.P.V. Government Medical College, Tiruchirapalli, on 60 ASA I and II patients scheduled to undergo laparoscopic appendicectomy under general anesthesia. The patients were randomly divided into two groups (volume-controlled ventilation [VCV] group and the PLV group) of 30 patients. A patient’s history includes age, sex, history of diabetes, hypertension, or any cardiovascular disease, respiratory tract infection, wheezing or chronic chest infections, seizures, neuromuscular disease or weakness, etc. Results: There was no significant difference in gender, age, or body mass index between groups. There is no significant difference in the mean arterial pressure or ETCO2 between groups at various intervals. There was a significant difference in the mean heart rate between the VCV and the PLV groups at 5 and 20 min after induction. There was a significant difference in the peak airway pressure, dynamic compliance, and airway resistance between the VCV group and the PLV group at 10 min after induction (T1), 5 min after pneumoperitoneum (T2), 10 min after pneumoperitoneum (T3), and immediately after Trendelenburg position (T4). Conclusion: The airway resistance and peak airway pressure do not increase, and the dynamic compliance was improved in the PLV during laparoscopic appendicectomy

Genetic Ichthyosis And Chronic Dermatophytosis - A clinical Diagnostic Dilemma

Chronic dermatophytosis caused by Trichophyton rubrum in two patients with genetic ichthyosis is being reported for its atypical manifestations leading to difficulties in diagnosis and management