Volume 12 | Issue 3

 Abstract

: In recent years, Artificial Intelligence (AI) has emerged as a transformative force in the field of medical diagnosis and imaging. Leveraging advanced machine learning algorithms and deep neural networks, AI systems have demonstrated remarkable capabilities in interpreting medical images, detecting abnormalities, and assisting healthcare professionals in making accurate diagnoses. However, the widespread adoption of AI in medicine also raises ethical and regulatory challenges, necessitating careful consideration of issues such as data privacy, algorithm bias, and accountability. As AI continues to evolve and integrate into clinical practice, collaborative efforts between AI developers, healthcare providers, regulators, and ethicists are essential to realize its full potential while ensuring patient safety and ethical integrity. With the offer assistance of Profound Learning (DL) algorithms, medical imaging innovation presently empowers restorative professionals to identify abnormalities and identify maladies with a higher level of exactness and speed than ever some time recently. This has contributed to critical changes in the exactness of diagnosis, the proficiency of treatment, and the in general quality of understanding care. AI- powered therapeutic imaging is trusted to be in the close future a significant improvement in symptomatic changes and applications that will bring considerable benefits for the medical specialists. Counterfeit insights (AI) procedures in later developments have appeared the potential to quicken the movement of conclusion and treatment of cardiovascular infections (CVDs), counting heart disappointment, hypertrophic cardiomyopathy, intrinsic heart illness and so on. AI has been demonstrated to apply well in CVD conclusion, upgrade adequacy of assistant apparatuses, malady stratification and writing, and result Breast mammograms for cancer location, Pap tests, colon cancer imaging, brain tumor imaging are utilized routinely to check individuals for signs of cancer or precancerous cells that can turn into dangerous tumors. In the last decade restorative professionals have created AI instruments to help screening tests for several sorts of cancer. Without question, fake insights (AI) is the most examined point nowadays in therapeutic imaging inquire about, both in demonstrative and restorative. For demonstrative imaging alone, the number of distributions on AI has expanded from almost 100-150 per year in 2007-2008 to 1000-1100 per year in 2017-2018. Analysts have connected AI to naturally recognizing complex designs in imaging information and giving quantitative appraisals of radiographic characteristics. In radiation oncology, AI has been connected on distinctive picture modalities that are utilized at diverse stages of the treatment. i.e. tumor depiction and treatment evaluation. Radiomics, the extraction of a expansive number of picture highlights from radiation pictures with a high-throughput approach, is one of the most prevalent inquire about subjects nowadays in restorative imaging inquire about. AI is the basic boosting control of handling gigantic number of therapeutic pictures and in this manner reveals illness characteristics that fall flat to be acknowledged by the bare eyes. The goals of this paper are to audit the history of AI in restorative imaging inquire about, the current part, the challenges require to be settled some time recently AI can be embraced broadly in the clinic, and the potential future

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Artificial Intelligence ,Deep Learning, Machine Learning, Medical Imaging, Radiomics

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Abstract: In the Totalitarian sphere, literature is categorised in a dystopian register that is built around a system that imposes values that are upside down. A fictitious pattern on the social-political structure is woven by Marin Preda. A literary work like Life as Prey (1977), which entered the memorialist pattern, indicated both the novelist's worldview and the origins of the fictitious text. A fresh viewpoint on the work is born out of the separation between the world and the I. A phase of the axiological perversion experienced by the dilemmatic creator is represented by the alienation. Literary works typically become chronotypes of the abandonment before a constrictive system of ideas, or parables of the tragism of the modern human. The literary tactics that range from the parodic return to history, the un-solemnization of the discourse, the capitalization of prosaism, to the extravagant mythologizing of the prosaic, manifest the upside-down perspective on the link between logos and existence. Fiction appears to transcend historical narratives in its relationship to reality by crafting a dystopian cosmos that reflects the confines of the human imagination. During a period when political discourse dominated cultural and literary discourse, leading to significant limitations, writers wavered between following societal norms and opting for internal exile as a means of maintaining their dignity, rebelling against authority, and withdrawing from the citadel. In this way, the 1960s and 1980s saw the manifestation of a response to topicality and, with it, a concern for the issues upsetting the existence of a person prepared to constantly relate to history, against the backdrop of some radical shifts in perspective in the daily political theory and praxis, with obvious implications for ethics and aesthetics

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Key Words: Ideological discourse, Chronotope, Totalitarianism, Tragism

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Rice cultivation with ducks possibly offers biological assistance ,and efficient control of weeds. Present research was conducted to trace the the viability of coordinating duck in rice cultivation for controlling weed pervasions and their effects on efficiency and economic output of the framework. Examination on variety of weeds showed that lush weeds (Echinochola colona, Echinochola crusgalli) and sedges (Cyperus difformis, Cyperus iria, Fimbristylis miliaceae) were predominant in rice during tillering stages, while broad leaved weeds (Ludwigia adscendens, Sphenoclea zeylanica) and aquatic weeds (Marsilia quadrifolia, Hydrilla verticillata) were abundant during dynamic tillering and panicle commencement phases of rice. For two years in a row, field research was done at the experimental farm of Bharath University to trace the impact of duck integration in the transplanted rice crop. The purpose of the experiment was to trace the impact of duck integration performed in three different scenarios: duck herding in puddled fields, duck herding in transplanted fields, and duck herding in both transplanted and puddled fields. The field study was set up using a split plot design with three sub treatments that were replicated three times. All of the treatments utilizing different duck integration techniques led to significantly higher grain and straw yields as well as corresponding reductions in weed metrics attribute to the interactions that result from herding ducks. Duck herding under all procedures involving diverse duck integration techniques dramatically boosted grain and straw yield while concurrently lowering weed characteristics. The interactions that result from herding ducks, the overall weed population was lowered by the combined effects of duck herding in cropped and puddled conditions, cono-weeding, and one-handed weeding, recording 5.77 and 5.67 per m2 during I and II season, respectively. Similarly crop DMP, grain yield and straw yield increased by 15.03 t ha-1, 4.34 t ha-1, and 7.29 t ha-1 during the first season, and 15.3 t ha-1, 4.88 t ha-1, 7.58 t ha-1 during the second season respectively due to duck integration in rice production

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: (Cono weeding, growing rice, duck herding, , grain yield, straw yield and weed control.)

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Modern multilingual customer care systems are in high demand due to the world's growing interconnectedness. This study examines how generative artificial intelligence (generative AI) can be used to solve the problems associated with delivering smooth and efficient customer support in a variety of linguistic environments. Our suggested system intends to transform consumer interactions by integrating advanced language models, such as contextual understanding and translation capabilities. This paper explains the architectural details of our all-inclusive multilingual assistance system and provides an overview of its features, advantages, and practical uses. The study sheds light on the paradigm shift in the dynamics of customer assistance and highlights the contribution of generative AI to the development of a service environment that is both linguistically inclusive and responsive to global needs.

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Language translation, Contextual understanding, Sentiment analysis

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This study explores emotion recognition in speech using Long Short-Term Memory (LSTM) networks on the Toronto Emotional Speech Set (TESS) dataset. Mel-frequency cepstral coefficients (MFCC) features are extracted, and an LSTM model is trained with a specific architecture, including Rectified Linear Unit (ReLU) and Linear activation functions in dense layers to get the membership of an audio sample in all the 7 labels and also compare them.The compiled model, utilizing mean squared error as the loss function and the Adam optimizer, achieves a training accuracy of 99% and a validation accuracy of 100%. Notably, our approach includes feature membership analysis, providing insights into the contribution of individual features to each emotion label.This comprehensive analysis demonstrates the efficacy of the proposed LSTM architecture in accurately identifying emotional states in speech, while the feature membership analysis adds a nuanced layer of interpretability to the model's predictions. The success of our approach suggests potential applications in emotion-aware technologies and interactive systems.

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Speech Emotion Recognition, Emotive Speech dataset, Audio data Visualization, MelFrequency Cepstral Coefficients, Feature Extraction, Long-Short Term Memory Neural Network, Emotion Classification, One Hot Encoding, Loss and accuracy matrices, Prediction Probabilities, Emotion identification, Virtual Assistants, Mental Health Screening, Computer-Human interaction

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This essay presents the current innovation, which pertains to smart sole shoes for correcting human posture, consists of a microprocessor inside the sole compartment and a sole with an upper and lower sole. The sole of the shoe may have a vibrator and several weight pressure sensors positioned inside. As a result, while the user is wearing the shoe, the multiple pressure sensors continually gather pressure from all of the weight pressure locations on each foot. The vibrator alerts the user that they are exerting extra pressure on a specific foot when the pressure stays above the threshold value for a predetermined amount of time.

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Arduino ESP-32, Pressure Sensors, Vibrators, Smart Sole, Posture Correction.

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Fossil fuels are currently the primary source of energy needed by the planet. The hunt for renewable, less harmful energy sources has been fueled by the world's rapidly increasing need for energy and the carbon dioxide emissions that come with using fossil fuels. Among them is regarded as ethanol. It is really regarded as one of the best biofuels for transportation since it can be mixed with gasoline or burnt straight to increase fuel combustion in cars, which lowers CO2 emissions and lowers atmospheric gasses. As a result, research has shifted to the creation of increasingly sophisticated technologies in order to achieve energy sustainability and reduce greenhouse gas emissions. These factors led to the development of two additional production techniques that concentrate on the fermentation of cellulose and hemicellulose mostly from second-generation agricultural wastes and third-generation algae. The facts on the possibilities and applications of producing bioethanol from first, second, and third generation feedstock have been critically analyzed and presented in this chapter.

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Ethanol, petrol

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Abstract This article explores the potential benefits of mindfulness-based treatments, acceptance and commitment therapy (ACT), compassion-focused therapy (CFT), and cognitive-behavioral therapy (CBT) for married couples seeking to improve their mental health and resilience. The usage of the therapies may help couples become more self-aware, self-compassionate, empathic, communicative, and problem-solving-capable. They may also assist people in developing coping mechanisms to deal with challenging emotions and circumstances. Yet, the effectiveness of these treatments will depend on a person's characteristics, such as their level of sadness or interpersonal problems, as well as their cultural background. In order to best serve each couple's needs and objectives, interventions should be customized. The efficacy of the therapy can be increased by collaboration in its creation and through continual evaluation and monitoring of the outcomes.

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Mindfulness-based interventions, cognitive-behavioral therapy, married couples, mental health, and resilience

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The Multiple Camera Network (MCN) paradigm revolutionizes visual data capture through strategically positioned interconnected cameras. Deployed in sectors like security, cinematography, and research, MCNs offer panoramic insights. The abstract explores vital MCN components, encompassing synchronization, data fusion, and real-time processing. It sheds light on applications like crowd monitoring, 3D reconstruction, and immersive video production. Despite challenges like calibration and computational needs, the grid-organized MCN excels in synchronized data capture. Surveillance benefits from PTZ and smart cameras, enhancing control and coordination. Object tracking in surveillance hinges on feature extraction and background subtraction, with increasing interest in video surveillance. Embracing edge computing and AI, MCNs gain on-the-fly analysis and predictive modeling. The abstract concludes, highlighting MCNs' adaptability and scalability, positioning them as pivotal in reshaping surveillance and imaging standards from security to entertainment.

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grsxgrx

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Abstract: This paper explores the profound social reforms and contributions of Savitribai Phule to the advancement of women in Indian society. Born on January 3rd, 1831, in Naigaon village, Maharashtra, Savitribai Phule, along with her husband Jyoti Rao Phule, dedicated themselves to empowering women, particularly those from marginalized communities. She staunchly advocated for women's education, viewing it as a powerful tool to combat social discrimination. Through her pioneering efforts, she laid the foundation for significant societal change. She started teaching girls in Pune and fought off those who opposed girl education at that time.

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Key words: Savitribai Phule, Social Reforms, Women Education Development, Indian Society.

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Wireless communication technology integration is necessary for internet of effects grounded operations to make their data fluently accessible. This design proposes a new, portable L- Shaped microstrip patch antenna with enhanced gain for IoT 3.6 GHz Industrial, scientific and medical (ISM) operations. The antenna design is simply comprised of an L-shape Strip line, with a full ground applied in the back side and integrated with a bitsy blockish niche, with increased bandwidth and lower number of base stations, and it's multi barred for multiple operations. This antenna designing and simulation have been performed by using CST software.

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ISM Applications, IoT Applications, CST Software, Multi-banded

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Dillip Behera, however, as a devoted Sadhaka, has tried to paint the inner world in his own style. There has been a drastic change in human life in recent times. Impact of Globalization Rapid development of information and technology has made human life style more efficient. The dream of a person dreaming of money, power, lust for luxury has created meaning in him. The progress of science is making man stronger. Human intelligence is completely destroying conscience. Leaving a painful life for future generations. The human race is drowning in inconsistency. Considering the range of fiction, Dillip Behera seems to have experimented with creating a masterpiece. Today's man is in a strange situation, the social environment in which he lives must shape his personality. But the thought and imagination through which his consciousness arises is universal. So he has drawn the empire of his words by coordinating with the world consciousness. So his speech is everywhere from navel to navel. His speech is elaborated with a noble style and a changing consciousness.

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Poet biography, Explanation of The story, Social Image, Picture of Rural Society, Superstition, Image of politics, Image of casteism, Love Picture

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This project explores the application of deep learning techniques, specifically ResNet50, VGG, MobileNet, EfficientNet, and Inception V3 models, in the detection of Lumin Derm Disease in animals. Utilizing computer vision methods, this project analyze the effectiveness of these models in identifying characteristic patterns associated with the disease. The project aims to enhance diagnostic accuracy and efficiency in livestock health monitoring through the integration of diverse deep learning architectures. The outcomes of this research not only contribute to the advancement of diagnostic tools for veterinarians but also shed light on the nuanced intricacies of leveraging various deep learning models in the context of animal health. The findings hold promise for the development of enhanced surveillance systems, ultimately benefiting livestock management practices and ensuring prompt intervention in cases of LuminDerm Disease outbreaks.

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Luminderm Vet Guard Detection in Animals Using Deep Learning Techniques

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This review explores recent breakthroughs in drug delivery systems, spotlighting nanoparticles, liposomes, and micelles as pivotal advancements. Nanotechnology emerges as a transformative force, facilitating targeted drug delivery and heightened bioavailability. The exploration extends to targeted delivery methodologies, embracing ligand-mediated targeting and stimulus-responsive systems to augment specificity. Nevertheless, challenges loom large, notably concerning biocompatibility, and safety, underscoring the imperative for tailored solutions. Negotiating the intricate interplay among drug attributes, carrier properties, and biological barriers demands nuanced strategies. Regulatory hurdles and approval procedures present additional obstacles, warranting adherence to stringent protocols. Prospects for the future pivot on mitigating these constraints, envisioning personalized medicine paradigms, and assimilating cutting-edge technologies such as artificial intelligence and 3D printing. By surmounting these impediments, drug delivery systems stand poised to redefine therapeutic landscapes, promising enhanced treatment modalities and patient outcomes.

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Drug delivery systems, Nanotechnology, Targeted delivery, Future perspectives.

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In the evolving landscape of cyber security threats, web spoofing attacks persist as a significant challenge, exploiting user trust in web interfaces. Phishing emails, alluring adverts, click jacking, malware, spoofing injection, session hijacking, man-in-the-middle, denial of service, and cross-site scripting assaults are the techniques used to deceive a user into visiting a website. As web spoofing attacks continue to pose a significant threat to online security, there is an urgent need for robust and efficient mechanisms to detect and prevent such fraudulent activities. The proposed system employs a sophisticated feature extraction mechanism to analyze various aspects of web pages, including visual elements, structural components, and behavioral patterns. The Convolutional Neural Network (CNN) is chosen for its ability to handle complex and non-linear relationships within the dataset, providing a reliable and adaptable solution for phishing detection. By training the model on a diverse set of legitimate and phishing websites, the phish catcher gains the capability to recognize subtle and evolving attack strategies. The system operates on the client- side, ensuring real-time protection without relying solely on server-side defenses.

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A Client-Side PhishCatcher against Web Spoofing Attacks

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In recent advancements within the realm of IoT-enabled cloud computing and interactive applications, there has been a growing impetus for researchers to reassess the current landscape of healthcare services. IoT-cloud-based systems play a pivotal role in facilitating remote monitoring and extending support to patients. Despite their significance, the existing healthcare systems have not placed sufficient emphasis on addressing security concerns from the outset, thereby leaving vulnerabilities to third-party data spying. This paper proposes a comprehensive framework for healthcare, incorporating Blockchain technology to enhance the security of the system's interactive user interface. Our focus includes ensuring the scalability and optimizing the performance ratio of the system. The designed and developed interface caters to both patients and doctors, enabling patients to transmit their healthcare data through the IoT-enabled Cloud Medium, while doctors receive real-time data in a highly secure manner. To address data identification and analysis, Hybrid Attribute Encryption Algorithms coupled with Blockchain techniques have been implemented. This integration provides a robust solution for enhancing the interactive healthcare experience for both patients and medical professionals, leveraging the capabilities of Cloud and Blockchain technologies.

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Blockchain-Cloud Fusion for Integrated Healthcare

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Water is a fundamental requirement for human, animal, and plant survival. As consumers use water, primarily sourced from pipes and springs located around towns, contamination, leakages, and pilferage happen. A major issue nowadays is the disposal of harmful chemicals, industrial waste, and other contaminants into water sources. The quality of the water determines how well plants, animals, and people can survive. IoT and Machine Learning offer a promising solution to address these challenges. To ensure a secure Drinking and Irrigation purpose water supply, it is imperative to continuously monitor its quality in real-time. The main objective is to design the system for real-time monitoring of water quality through the Internet of Things (IoT) and Machine Learning approach.

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Enhancing Water Sustainability for Efficient Agricultural Irrigation and Consumer Consumption

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Nrusingha Guru was patriot. For this, early in his youth he got attracted to the national activity that was creeping over the nation and to the leadership of Mahatma Gandhi. His cultivated discipline, dedication and devotion to the task in hand made him follow his leader with faith and conviction. His personal integrity, the sprit of service and sacrifice. He was class by himself. For the suitable and many sided contribution, he made during the pre and post independent period he will be remembered for generation to come. His impact on his contemporaries was second only to Gandhi. He made incessant effort for the economics uplift of the people, initiated literacy and educational drive for the down trodden to provide the basis for change and removal the traditional caste based limitations in the interest of social expansion. Nrusingha Guru stood for a progressive and rational social order. He was the most complete human being. He was a high souled man, the Gandhi of Western Odisha.

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Anti- untouchability, Charkha, Journalism, Harijans, Khadi

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An important development in the field of international environmental governance was the 1992 Earth Summit. This study examines how the Rio Summit influenced global collaboration, sustainable development goals, and international environmental policy. It looks at the main ideas, results, and lasting effects of the Rio Summit, including the adoption of conventions like the Convention on Biological Diversity, Agenda 21, and the Rio Declaration. In addition, the report critically evaluates the advantages, disadvantages, and difficulties encountered in carrying out these pledges, considering their implications for current environmental governance initiatives. Through an examination of the political dynamics, institutional innovations, and historical background of Rio 1992, this research adds to our understanding of the significance of the event in promoting global efforts towards environmental stewardship and sustainability.

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Rio summit ,Rio declaration, earth summit, unfccc,Sustainable development, sustainable future,Costa rica's , United Nation , environmental

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Human-computer interaction is becoming more popular owing to its automaticity, naturalness, and user-friendly characteristics. An innovative approach to this explores by integrating artificial intelligence (AI) with hand gestures and voice commands to revolutionize human-computer interaction in game and virtual mouse, introducing voice-activated functionalities called proton. This system aims to reduce the need of physical device interaction by leveraging computer vision with OpenCV and Python, utilizing only a webcam as an input tool. Instead of using more expensive sensors, a simple webcam can identify the gesture and perform the action. The proposed framework allows users to perform game operations like left move, right move, up, stop. virtual mouse operations like left click, right click, double click, scrolling, drag and drop, volume control and brightness control through various hand gestures, and also users can perform find locations on Google Maps, check the current date and time, put Proton to wake it up, and exit the system, and perform tasks effortlessly through intuitive voice commands. Real-time applications, particularly in gaming, benefit from this approach, overcoming barriers associated with traditional input devices. Testing on games achieve human-computer interaction with minimal hardware requirements. This system integrates AI powered hand gestures and voice commands, demonstrates promising results in enhancing user experiences in virtual environments for gaming and mouse control. A significant advancement in human-computer interaction, providing an innovative and user-friendly interface. This seamless integration of AI and gesture control sets a new standard for efficiency, accessibility in interactive computing experiences.

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Artificial Intelligence (AI), Machine Learning, Human-Computer Interaction (HCI), OpenCV, Mediapipe, Natural Language Processing (NLP), Speech recognition.

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