Volume 12 | Issue 1 |

 Abstract

AgriculturePlaysAPivotalRoleInIndiasEconomyFacingChallengesSuchAsIncreasedFoodDemandEscalatingLaborCostsUnfavorableEnvironmentalConditionsAndDiminishingAgriculturalLandToAddressTheseIssuesTheConceptOfIndoorFarmingParticularlyHydroponicFarmingHasGainedProminenceHydroponicsInvolvesUsingAWaterSolventToDissolveMineralNutrientSolutionsEnablingPlantsToAbsorbNutrientsMoreEfficientlyThanTraditionalSoilBasedMethodsInThisContextOurProposedSolutionLeveragesInternetOfThingsIoTTecHniquesToEnhanceTheEfficiencyOfIndoorFarmingThroughAClosedLoopSystemTheSystemAimsToPreciselyRegulateNutrientLevelsAndPhForOptimalPlantGrowthKeyComponentsIncludeAPhSensorATotalDissolvedSolidsTdsSensorAndSensorsForMonitoringTemperatureAndHumidityTheAnalogPhSensorAnalogTdsSensorAndDHT11SensorCollectRealTimeDataOnPhLevelsNutrientConcentrationTemperatureAndHumidityRespectivelyTheCollectedDataIsTransmittedToAMicrocontrollerWhichEmploysSmartDecisionMakingAlgorithmsBasedOnIoTPrinciplesTheMicrocontrollerAssessesTheReceivedDataAndDynamicallyDeterminesWhetherAdjustmentsAreNeededForInstanceItDecidesWhetherToReleaseSpecificNutrientsOrPhBufferSolutionsTheReleaseMechanismIsFacilitatedThroughAPeristalticPumpControlledByARelayByIntegratingIoTTecHniquesIntoVerticalFarmingOurSystemOffersASophisticatedAndAutomatedApproachToOptimizeCropCultivationThisNotOnlyAddressesTheChallengesPosedByTraditionalFarmingMethodsButAlsoEnsuresResourceEfficientAndSustainableAgriculturalPracticesInTheFaceOfAGrowingPopulationAndChangingEnvironmentalConditions

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Keywords for a Vertical Farming using IoT Project: 1. Vertical Farming 2. IoT (Internet of Things) 3. Indoor Farming 4. Hydroponic Farming 5. Closed-Loop System 6. Nutrient Regulation 7. pH Sensor 8. TDS (Total Dissolved Solids) Sensor 9. Temperature Monitoring 10. Humidity Monitoring 11. Smart Decision-Making Algorithms 12. Microcontroller 13. Real-time Data 14. Peristaltic Pump 15. Relay Control 16. Resource Efficiency 17. Sustainable Agriculture 18. Crop Cultivation Optimization 19. Environm

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Stable Diffusion uses a text-to-image machine learning model to generate images matching the prompt specification. This paper presents the experimental study of using different qualifiers with four different types of text prompts as a method of creating variations in the generated images while preserving the semantics. It was found that all qualifiers helped in creating some variation in the images. However, depending on the type of variation created in the images, this paper presents an insight into enhancement or insertion of relevant or irrelevant features in the generated images based on one- or two-word qualifiers used.

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Stable Diffusion, text-to-image, Generative AI, Neural Networks

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Coronary sickness is a risky contamination that is spreading swiftly. Many humans suffer from it, and it's far presently the leading purpose of death worldwide. This ailment influences the coronary heart and other body components, so it calls for an green analysis to assist the scientific community in remedy. Early detection of this sickness can shop many lives via proper remedy. however, traditional diagnostic techniques including blood tests, electrocardiograms, cardiovascular computed tomography scans, magnetic resonance imaging of the coronary heart, and many others. are time-ingesting and invasive. on this review paper, diverse coronary ailment detection methods proposed in the past few years had been studied. The paper describes the techniques used by researchers and the accuracy claimed with the aid of them. A commonplace dataset became used to evaluate the claimed accuracy, and a assessment table of different strategies turned into provided inside the effects dialogue phase. The paper offers the strategies which have an ok stage of accuracy.

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coronary heart disorder, cardiovascular sickness, AdaBoost algorithm, important element evaluation, linear discriminant analysis

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The primary objective of our project is to develop a comprehensive health monitoring system capable of detecting the presence of critical medical conditions such as Heart Disease, Diabetes, and Parkinson's Disease. Users can input relevant health parameters, and the system employs machine learning algorithms to analyze the data, providing real-time feedback on potential health risks. This project utilizes a userfriendly interface that allows individuals to input their health information easily. The system then processes this data, leveraging machine learning and statistical models to assess the likelihood of heart disease, diabetes, and Parkinson's disease. The results are promptly communicated to the user, enabling them to take proactive measures for their well-being. The machine learning algorithms taken into consideration for detecting Heart Disease is Logistic Regression, Diabetes is Random Forest and Parkinson's Disease is Support Vector Machine. Once the data is taken from the users for the selected disease detector, the values will be used by the classifiers to detect if the individual has the particular disease or not. This system is implemented using Python programming and Streamlit library for integrating the models to front end.

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Chronic Diseases, Diabetes, Health Monitoring System, Heart Disease, Logistic Regression, Machine Learning Algorithm, Parkinson's Disease, Python programming, Random Forest, Streamlit, Support Vector Machine.

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In the realm of 3D human shape estimation, this research introduces an innovative network distinguished by its seamless integration of volumetric feature transformation, a technique designed to merge diverse image features into the 3D space for the precise recovery of surface geometry. Anchored by an extensive dataset comprising 7000 real-world human models, our method, underpinned by a unique architecture, exhibits exceptional proficiency in the challenging domain of single-image 3D human model estimation. Confronting persistent challenges related to the dynamic estimation of human pose and body shape from 3D scans over time, we propose PIFuHD (Pixel-aligned Implicit Function) as a groundbreaking solution. PIFuHD facilitates end-to-end deep learning, enabling the accurate digitization of highly detailed clothed humans from a single image, surpassing previous benchmarks with high-resolution reconstructions on the Render People dataset. A notable feature of our approach lies in its adeptness at recovering fine details, even in occluded regions of the human form. This is achieved by transforming the conventional shape regression process into an aligned image-to-image translation problem. Leveraging a partial texture map as input, our method skillfully estimates detailed normal and vector displacement maps, thereby enhancing clothing representation on a low-resolution smooth body model. Within the expansive landscape of 3D human shape estimation, our multi-level architecture emerges as a beacon of innovation, effectively balancing contextual breadth and high resolution. Significantly, our method outperforms existing techniques by harnessing the potential of 1k-resolution input images, resulting in markedly enhanced single-image reconstructions.

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PIFuHD, texture map, normal map, multilevel architecture, high-resolution reconstruction, 3D human shape estimation, single-image 3D human digitization.

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Creative Commons Attribution 4.0 and The Open Definition

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The nutrition facility provided by the Namdhari's sports academies typically includes personalized meal plans, dietary guidance, and access to nutritionists and dietitians who help athletes optimize their diets for performance and recovery. These facilities often focus on balanced nutrition, hydration strategies, and supplements as needed. The goal is to enhance athletes' physical well-being and optimize their training and competition results through proper nutrition. Specific offerings may vary by academy and sport.

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Sports, Nutrition, Namdhari, Coach, Players.

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Objective: This study aimed to examine how general dentists perceive a range of cosmetic dental procedures as showcased by individuals on social media. Methodology: This study was carried out among general dental practitioners in Pune through the means of google form and was circulated through social media (WhatsApp, Facebook, Twitter, Instagram). The data collected were analysed using Statistical Package for Social Sciences (SPSS) version 21 for windows (SPSS Inc, Chicago, IL). Result: The majority (94.4%) of dentists considered that it is important to stay updated on cosmetic dentistry through social media. Additionally, 75.2% believe that social media has led to an increase in demand for certain cosmetic dental procedures. Highest demand was observed for smile designing (25.56%), followed by Teeth whitening (23.33%) and dental veneers (21.48%). While (58.2%) recognized social media's positive impact for patient education and communication within their practice. To heighten the awareness about benefits of cosmetic dentistry, most of dentists (78.1%) opted for the use of before-and-after photos. Conclusion: Social media has created a demand for an aesthetically pleasing smile as people are exposed to idealized dental aesthetics through influencers and celebrities. This has led to an increase in the number of patients seeking cosmetic dentistry.

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keywords-social media, cosmetic dentistry

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A 16-year-old boy on a mixed diet presented with severe macrocytic anemia. laboratory investigations revealed vitamin b12 deficiency and the other laboratory test shows imbalance of Hb, mcv, mch, RDW. The need of the case report in a SOAP note becomes essential for managing the disease. The disease is usually life long and with a number of comorbidities. to manage the condition by accurate standard therapy it is easy to control the disease and further complication arises with the condition. the main objective is to support patient care through the safe evidence-based medicine and cost beneficial use of medication and to maximize the effect of the medication and minimize the risk and the side effect of the medication.

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soap, cystitis, pallor, cobalamin, ferrous ascorbate

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 Abstract

The porous concrete matrix is greatly strengthened when reinforced with steel fibres that are divided equally throughout its whole mass, causing the matrix to behave drastically differently from traditional concrete with regard to its qualities. Owing of the significant benefits brought about by incorporating fibres to concrete, Fibres Reinforced Concrete (FRC) may be used wisely and advantageously in several applications. In India, these fibres have been utilized in the past employed in several sizable projects for the building of highway overlays, pavements, industrial floors, etc. The experimental findings, concrete with SFRC with metakaolin and glass powder admixtures were the main focus of this study. In this project, concrete M30 quality with SFRC percentages of volumes 1%, 2%, 3%, 4%, 5% and 6% was utilized. Cement and fine aggregate were also substituted with kaolinite and glass powder in amounts of 5 percent, 10 percent, 15 percent, 20percent, 25 percent & 30 percent. The water to cement ratio should be 0.38. For the purposes of this project, 63 cubes, 63 cylinders, and 63 beams were cast with the aforementioned percentage of steel fibre, metakaolin & glass powder and they were put through compression, flexural and tensile tests. The result is evaluated against conventional concrete. The compressive, flexural & split tensile loads of concrete at a water-cement ratio of 0.38 very slightly increased when steel fibres were employed. Steel fibres can therefore be utilized to prevent concrete cracks and drying shrinkage.

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1. Due to fibre bridging processes that bridge the fracture surface, SFRC is a structural material that exhibits high residual tensile strength in the post-cracking zone and improved capacity to absorb strain energy. 2. SFRC is utilised in buildings including flooring, housing, precast, bridges, tunnelling, heavy duty pavement, and mining for improving long-term behaviour, boosting strength, toughness and stress resistance.

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BACKGROUND: A large number of children suffer from behavioural problems during their development. Many of these problems are transient and may not even be noticed. At times, however, the extent of these problems and their overall effects on a child's development can be serious (Morita al., Further, children may exhibit these behaviours in one setting and not in others (e.g., at home or in school, but not both) In developed countries, parents tend to seek advice for even minor problems, such as persistent thumb sucking, while in developing countries, major problems, even childhood schizophrenia, may go unattended. An awareness of the prevalence of these problems is important so that appropriate mental health services can be planned and provided for affected children, to improve their prospects for leading healthy, productive lives. OBJECTIVES: 1. To assess the level of knowledge regarding behavioural problems of school age children among mothers in selected schools. 2. To assess the level of attitude regarding behavioural problems of school age children among mothers in selected schools. 3. To find out correlation between level of knowledge and attitude of mothers regarding behavioural problems of school age children in selected schools. 4. To find out association between knowledge and attitude of mothers regarding behavioural problems of school age children in selected schools with selected demographic variables. METHODS AND MATERIALS: A descriptive design was used in the study to accomplish the objectives using non- probability convenient sampling technique for obtaining adequate sample for the study. Study was done on 130 mothers of school going children in selected schools of Guwahati, Assam. Respondents were selected on the basis of inclusion and exclusion criteria; Structured knowledge questionnaire was used to assess the knowledge and 5-point Likert scale was used to assess the attitude level of the mothers regarding behavioural problems of school going children. RESULTS: The analysis revealed that out of 130 mothers of school going children, majority i.e., 92(70.8%) respondents had moderately adequate knowledge, 33(25.4%) respondents had adequate knowledge and 5(3.8%) respondents had inadequate knowledge regarding behavioural problems of school age children. The analysis revealed that out of 130 mothers of school going children, majority i.e., 88(67.7%) respondents had desirable attitude and 42(32.3%) respondents had moderately desirable attitude towards behavioural problems of school age children and no respondents had undesirable attitude. CONCLUSION: From this study, it was concluded that majority of the respondents had moderately adequate knowledge and majority of the respondents had desirable attitude regarding behavioural problems. Therefore, the investigator concluded that, there is a need of awareness to the mothers regarding various behavioural problems among school age children and its impact on later life.

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 Keywords

KEY WORDS Knowledge, attitude, behavioural problems.

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Creative Commons Attribution 4.0 and The Open Definition