Volume 12 | Issue 1

 Abstract

Review on PIXE: Accelerator Based Analytical Technique

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PIXE, Accelerator, Nuclear Analytical Techniques

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The investigation of peasant's history in India overall and Andhra specifically has not gotten sufficient consideration from the professional scholars. It's kind of research work is a new peculiarity. A large number of the early scholars of history focused to a greater degree toward the ordered picturization of the rulers and privileged in light of accessible inscriptional and historical sources. There are anyway a lot of major obstacles to concentrate peasant history; the greater parts of the accounts are connected with just the main areas of the society, for example, the ruling class.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Peasants, Inscriptions, Class etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The human face serves as a fundamental and unique identifier, especially in the context of criminal detection and law enforcement. The increasing challenges posed by highly populous urban environments demand automated solutions for efficient and timely identification of individuals. This research introduces an innovative real-time criminal identification system that integrates deep learning, specifically Convolutional Neural Networks (CNN), and Haar Cascade classifier for face detection and recognition. The system utilizes live camera feeds in urban environments, enhancing law enforcement capabilities by combining facial recognition with historical criminal activity data. The proposed approach focuses on extracting detailed facial features through CNN, ensuring robust detection in challenging scenarios. The integration of Haar Cascade enables high-precision real-time face detection. our research contributes to the advancement of criminal identification systems by introducing a real-time approach that harnesses the power of deep learning and live camera feeds. The proposed system holds significant potential for enhancing law enforcement capabilities, enabling proactive identification, and contributing to the overall safety and security of urban environments. As a forward-looking solution, our research not only addresses current challenges but also anticipates future needs in the ongoing evolution of urban security. By incorporating real-time data analytics, our system aids authorities in making informed decisions, reinforcing its role as a proactive and intelligence-driven asset for ensuring public safety.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real-time criminal identification, Deep learning, Convolutional Neural Networks (CNN), Haar Cascade classifier, Facial recognition

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ccess to quality health care in rural and underserved areas is often limited, leading to delayed diagnosis and poorer health outcomes. This paper explores the potential of artificial intelligence (AI) to address these healthcare disparities. By analyzing existing literature and research, this article examines how AI can be used to improve the diagnosis of acute diseases in villages and small towns. The article covers data-driven solutions, machine learning and deep learning applications, AI-capable organizations, ethical considerations, and more. The results highlight the transformative potential of AI to bring accurate and accessible diagnosis to underserved areas.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Challenges, opportunities, AI implementation, rural healthcare, healthcare disparities.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Emotion recognition from electroencephalography (EEG) signals has become a pivotal aspect of affective computing. This research proposes the concatenation of two novel deep neural network architectures to advance the state-of-the-art in EEG-based emotion classification. The first model termed Hybrid STANN with Graph-Smooth Signals, employs a unique combination of spatiotemporal encoding and recurrent attention network blocks. Graph signal processing tools are applied as a preprocessing step for spatial graph smoothing, enhancing the interpretability of physiological representations. The model outperforms existing methods on the DEAP dataset for emotion classification. Additionally, its robustness is demonstrated through successful transfer learning from DEAP to DREAMER and the Emotional English Word (EEWD) datasets, showcasing its effectiveness across diverse EEG-based emotion classification tasks. The second model, named 3DCANN: Spatio-Temporal Convolution Attention Neural Network, addresses the dynamic nature of EEG signals in emotional states. The 3DCANN model features a spatiotemporal feature extraction module and an EEG channel attention weight learning module. By effectively capturing the dynamic relationships and internal spatial relations among multi-channel EEG signals, the model surpasses state-of-the-art performance on the (SEED) Dataset. The integration of dual attention learning and SoftMax classification enhances the model's ability to discern intricate patterns in EEG signals, resulting in superior emotion recognition accuracy. Both proposed models contribute to EEG-based emotion recognition by introducing innovative architectural elements and demonstrating their efficacy through comprehensive evaluations of diverse datasets. This research opens avenues for further exploration in physiological data-driven affective computing applications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotion Recognition, Graph Filtering, Spatio-Temporal Encoding, 3D Convolution Attention Neural Network, Dual Attention Learning, Transfer Learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stress is a natural reaction to challenges or changes in one's life. While it can provide a short-term burst of enthusiasm or energy, chronic stress may lead to severe health issues. Women are more likely to report health problems than men, such as headaches and gastric upset. Stress shows up differently for everyone, with common symptoms including pain, acne, headaches, upset stomach, insomnia, anhedonia (loss of interest), binge eating, anorexia, and reduced sexual drive. Stress is caused by different situations for different people. What is stressful for one person, might be easily managed by another. There are many sources of stress -- financial worries, job security, issues at the workplace, relationship issues, family conflict, and traumatic events like the loss of a loved one, severe illnesses, etc. The aim of this article is to find out the causes of stress of women and its remedies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords : Stress, Women, Stress management

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AgriculturePlaysAPivotalRoleInIndiasEconomyFacingChallengesSuchAsIncreasedFoodDemandEscalatingLaborCostsUnfavorableEnvironmentalConditionsAndDiminishingAgriculturalLandToAddressTheseIssuesTheConceptOfIndoorFarmingParticularlyHydroponicFarmingHasGainedProminenceHydroponicsInvolvesUsingAWaterSolventToDissolveMineralNutrientSolutionsEnablingPlantsToAbsorbNutrientsMoreEfficientlyThanTraditionalSoilBasedMethodsInThisContextOurProposedSolutionLeveragesInternetOfThingsIoTTecHniquesToEnhanceTheEfficiencyOfIndoorFarmingThroughAClosedLoopSystemTheSystemAimsToPreciselyRegulateNutrientLevelsAndPhForOptimalPlantGrowthKeyComponentsIncludeAPhSensorATotalDissolvedSolidsTdsSensorAndSensorsForMonitoringTemperatureAndHumidityTheAnalogPhSensorAnalogTdsSensorAndDHT11SensorCollectRealTimeDataOnPhLevelsNutrientConcentrationTemperatureAndHumidityRespectivelyTheCollectedDataIsTransmittedToAMicrocontrollerWhichEmploysSmartDecisionMakingAlgorithmsBasedOnIoTPrinciplesTheMicrocontrollerAssessesTheReceivedDataAndDynamicallyDeterminesWhetherAdjustmentsAreNeededForInstanceItDecidesWhetherToReleaseSpecificNutrientsOrPhBufferSolutionsTheReleaseMechanismIsFacilitatedThroughAPeristalticPumpControlledByARelayByIntegratingIoTTecHniquesIntoVerticalFarmingOurSystemOffersASophisticatedAndAutomatedApproachToOptimizeCropCultivationThisNotOnlyAddressesTheChallengesPosedByTraditionalFarmingMethodsButAlsoEnsuresResourceEfficientAndSustainableAgriculturalPracticesInTheFaceOfAGrowingPopulationAndChangingEnvironmentalConditions

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sports, Nutrition, Namdhari, Coach, Players.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

keywords-social media, cosmetic dentistry

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

soap, cystitis, pallor, cobalamin, ferrous ascorbate

  License

Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEY WORDS Knowledge, attitude, behavioural problems.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Leukemia is a form of cancer that can be a fatal disease and treat it requires a correct and early diagnosis. Standard methods have transformed into automated computer tools for analyzing, diagnosing, and predicting symptoms. The purpose of this paper is to do a comparative analysis study on cancer detection that applies deep learning to address the topic of automated diagnosis. Leukemia is a type of blood cancer which occurs due to abnormal increase in WBCs (white blood cells) in bone marrow of human body. Leukemia can be classified as acute leukemia and chronic leukemia, in which acute leukemia grows very fast whereas chronic leukemia grows slowly.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Leukemia Disease, CNN, machine learning, image classification, feature extraction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The most crucial component of concrete is Portland cement, which is also a versatile and rather expensive substance. Cement manufacture on a large scale affects the environment negatively and depletes natural resources negatively. Researchers are now using industrial waste materials as an additional cementing element in concrete because of the damage they pose to the environment. The M30 grade of varied water cement ratios of 0.32, 0.35, and 0.38 is used to create high-strength concrete. Instead of increasing the cement content, mineral admixtures (additional cementitious ingredients) are employed. In this study, M30 grade concrete with partial cement substitution by silica fume at levels of 5%, 10%, 15%, and 20%, with variable water cement ratios of 0.32, 0.35, and 0.38, is the key parameter under investigation. Compressive strength, flexural strength, and split tensile strength at ages of 7, 14, and 28 days are the subject of a thorough experimental research presented in this project. This article describes the findings of an experimental study on the impact of various silica fume (SF) and water to cement ratios (w/c) on standard concrete.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

6.2.1 When compared to market prices and the advantages we obtain, adding silica fume to concrete improves its qualities while also being very cost-effective. 6.2.2 Different grades of concrete can be employed by using silica fume in place of cement for varying water cement ratio 6.2.3 Along include silica fume addition of binary replacement of fine aggregate or coarse aggregate can be utilized

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Resource development, management and governance are crucial components which raise the productivity, protection and institutional arrangements to guide resource management. The practices of land and water Focus on water harvesting and soil conservation which state three objectives (Kerr, 2007): conservation and strengthen the natural resource base, make agriculture and other natural resource-based activities more productive, and rural livelihoods to alleviate poverty. In seasonally dry areas where water and land use practices focus on water harvesting, the natural resource base in question generally includes soil, water, agricultural land, pastures and forests. Steps to strengthen one of these natural resources inevitably affect others and the livelihoods that depend on them. The present paper has made an attempt to examine the different dimensions of the role of micro-level environment elements to sustain the livelihoods of small and marginal farmers. The objective of the paper is to examine the effectiveness of land and water use practices of small marginal farmers and to understand the livelihood security under the existing water and land use practices. The paper is based on a field based study done during 2022 in two community development blocks viz. Labpur and Illambazar of Birbhum District of West Bengal. Water and land use practices in the two community development blocks is to bring together the various dimensions of natural resources development under an overarching perspective of equitable, productive and sustainable development. These local level practices in tune to climate change and locally available resource base are desirable where micro-environment element interventions are more suitable to meet climate change effects at local level.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

water and land use, natural resource base, sustainable development, small and marginal farmers

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Transport revolutionizes the way we navigate transportation with its innovative application. In a world where seamless travel planning is paramount, our all-encompassing companion app stands out. This project aims to address the diverse needs of modern travelers by consolidating multiple transportation options into a single, user-friendly platform. Our application covers a spectrum of travel modes, including flights, trains, buses, and rideshares, providing users with a one-stop solution for all their journey requirements. The interface is designed for optimal convenience, allowing users to effortlessly explore, plan, and book their entire itinerary within a few taps. Users can explore, plan, and book their entire plan with just a few taps, streamlining the entire travel planning process.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Muti-mode Transport, Booking Application

  License

Creative Commons Attribution 4.0 and The Open Definition