Volume 12 | Issue 12 |

 Abstract

Visual Question Answering (VQA) is an interdisciplinary domain at the intersection of computer vision and natural language processing, focusing on answering questions about images. This study proposes an enhanced framework that incorporates sentiment analysis into VQA systems, enabling context-aware and sentiment-sensitive responses. Such integration is pivotal in applications like e-commerce, healthcare, and social media, where understanding emotions in visual content significantly improves user interactions. The proposed methodology combines state-of-the-art VQA techniques with sentiment analysis models. Visual feature extraction is achieved using a pre-trained convolutional neural network (CNN) such as ResNet, while language understanding employs transformer-based architectures like BERT. A multimodal fusion mechanism integrates visual and textual data, augmented with sentiment features extracted using a separate sentiment analysis pipeline. The fused embeddings are then fed into a deep neural network to generate contextually relevant answers. Experiments are conducted on benchmark datasets such as VQA 2.0 and Visual Sentiment Ontology (VSO), incorporating synthetic datasets with sentiment annotations. Results demonstrate a significant improvement in performance, achieving an accuracy of 89.85% compared to 76.80% for baseline VQA models on the VQA 2.0 dataset. Additionally, contextual relevance is enhanced with sentiment features contributing to improved emotional understanding in responses. This paper contributes a novel multimodal approach that bridges the gap between VQA and sentiment analysis, addressing the lack of emotional intelligence in traditional VQA systems. The findings indicate promising avenues for future exploration in adaptive AI systems.

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 Keywords

Visual Question Answering, Sentiment Analysis, Multimodal Fusion, Context Aware Responses, Emotion Recognition, Deep Neural Networks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ovarian cancer is the sixth most common cancer and the seventh leading cause of cancer deaths among women worldwide. Descriptive cross-sectional approach was used for this study. The population included all the women above 40 years of age attending in Gynaecology OPD, WCH, JIPMER. The sample of the study was 240 women who fulfilled the inclusion criteria. The data was collected using structured questionnaires. The tool consisted of 2 Parts, Part A: Socio-demographic proforma, Part B: Clinical variables. After the ethical clearance the data was collected for 3 days. Both descriptive and inferential statistics were used for data analysis. All the categorical data were presented on frequencies and percentages. Analysis was carried out in SPSS version 22.0 (SPSS-Statistical Package for Social Science version 22.0). All statistical analysis has been carried out at 5% level of significance and p-value <0.05 was considered significant. The result of the study among 240 samples of women above 40 years of age in gynaecology OPD WCH, JIPMER showed that majority of the participant 76.6%(184) had inadequate knowledge, only 17% (41) of them had moderately adequate knowledge, 5.8% (14) had adequate knowledge and 0.4% (1) had excellent knowledge. Among Socio demographic variables there is association between education and income of the participants with the level of knowledge. The present study assessed the level of knowledge among women above 40 years of age attending gynecological OPD, WCH, JIPMER. It was found that majority of them had inadequate knowledge regarding ovarian cancer. Hence the study suggests that there is need to create awareness about early detection of ovarian cancer among the women. Further this study strongly suggest that there is a strong urge to improve the education and socio economic status of women as there was association found between education and income of the participants with knowledge.

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 Keywords

Ovaries, Cancer, Gynecology, OPD, Women

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Conventional drug delivery system has many issues so bulk of studies has now shifted from synthetic drugs to herbal drugs. The proposed observe turned into achieved and completed to assess the wound healing potential of the herbs like azadiracta indica (neem) and aloe Vera while formulated in shape of transdermal patches. The present study includes the drug delivery via transdermal patches for treating, curing, stopping diverse pores and skin allergy, contamination or wound healing. The fundamental purpose of this observe turned into to formulate the natural transdermal patches wherein neem plant extract is loaded in aloe vera patches which assist to deal with the pores and skin contamination like rashes, redness, and in wound healing. Herbal method includes the extract of herbs, vegetation and its element like root system and shoot system that are wealthy in diverse phytochemicals which allows to deal with diverse injuries, disorder or contamination. In diverse observe it's been visible and located that the vegetation like neem and aloe have the wound healing activities. Formulation were evaluated for the various organoleptic properties ,pH, thickness, moisture content etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aloe,Neem,Transdermal patches

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The primary objective of this study was to create user-friendly tablets of a model drug to enhance patient adherence to antilipidemic therapy. Many patients struggle to adhere to the prescribed dosage regimen, often skipping doses due to difficulties in swallowing tablets, bitter taste, and the unavailability of water when traveling. Mouth dissolving tablets (MDTs) offer a promising solution to improve patient compliance with the therapeutic regimen. These tablets disintegrate rapidly in the mouth, typically within a minute, eliminating the need to swallow the whole tablet or to use water. In this study, the bitter taste of the antilipidemic drug was effectively masked using the wet granulation method, employing both rapid mixture and a fluidized bed granulator. A total of 15 MDT formulations were prepared and subjected to comprehensive evaluation, including tests for hardness, friability, taste, in vitro disintegration time, wetting time, drug content, and in-vitro drug release. The optimized formulation achieved an in vitro disintegration time of 36 seconds, a hardness of 4-5 kg/cm2, a friability of 0.69%, and an impressive 99.5% drug release within 30 minutes, all while maintaining an acceptable taste. This successful development of patient-friendly MDTs for antilipidemic therapy holds significant promise for enhancing patient adherence to the prescribed therapeutic regimen.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Taste masking, Mouth dissolving tablet, Rosuvastatin, Wet granulation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Machine learning, ransomware techniques, cybersecurity, ransomware detection, ransomware attacks.

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Creative Commons Attribution 4.0 and The Open Definition

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Heterotopic spaces are physical spaces that deviate from normalised spaces and accepted realities. The grave in Mahasweta Devi's Bayen is one such space that questions the accepted social standards and questions normalised social norms. The grave acts as a space which restricts the play's protagonist, Chandidasi Gangadasi, from experiencing a normal life and forces her to lead a life constructed by customs and superstitions. The nature of the grave and the relationship between life and death associated with it makes it a social mirror which projects the social injustice associated with it, qualifies it as a heterotopia.

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 Keywords

Heterotopia, Grave, Marginal, Superstition, Mirror

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Jennifer Egan's A Visit from the Goon Squad offers a compelling exploration of disconnection in the digital age. This paper examines the intersections of technology, alienation, and the postmodern experience in the novel, focusing on how Egan critiques the impact of technological advancements on human relationships and identity. Employing fragmented narrative structures and temporal shifts, the novel mirrors the fractured nature of contemporary existence. This study engages with postmodern theory to analyze the alienating effects of technology and the cultural dislocation depicted in the text, offering a commentary on the paradox of connectivity in an increasingly digitalized world.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Technology, alienation, postmodernism, fragmentation, digital age, disconnection.

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Creative Commons Attribution 4.0 and The Open Definition

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To control the movement of a robot, we need to understand and use some equations related to the position of the robot and its parts relative to both the world and to itself. This position is called the pose of the robot. The pose of a robot tells us the location of the robot in either two or three dimensions or also its orientation. That is, in what direction is it facing, the pose can be a simple three-element vector, but for arm-based robots, the robot portion of the project will have two distinct phases. First, we will work with embedded robotics controllers. This will mainly feature National Instruments controllers that are programmed using LabVIEW. LabVIEW is a graphical, commercial programming environment from National Instruments. It is quite often used in robotics, instrumentation testing and certain types of industrial control applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Labview, Atmega328, Robotics

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Creative Commons Attribution 4.0 and The Open Definition

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Since the introduction of nanorobotics, the discipline of medicinal chemistry has seen an exponential development in the uses of nanotechnology. One of the most potential uses of nanotechnology is in the creation of nanobots, which can be applied to a variety of industries like as medicine delivery, medical imaging, and even the development of The benefits of nanobots include their small size, light weight, great flexibility, high sensitivity, and big thrust-to-weight ratio. Nanobots have several uses and are being investigated in many domains. This review's objective is to provide an overview of the rapidly developing subject of medicinal chemistry's nanorobotics and its potential applications in the identification, management, and prevention of a range of illnesses. It offers a thorough synopsis of the advancements made in nanobot technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

-NANOROBOTS,BIOCHIP, NUBOTS,DNA NANOBOT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Concrete material is an essential requirement for many structural and superstructure construction. Concrete's strength is regarded as a key component because it has a long lifespan that persists even under challenging circumstances. However, the strength of standard concrete is maintained at a certain level. Still more to improve the strength of concrete is improved by producing High Performance Concrete (HPC). HPC is produced by selecting an appropriate proportion of cement, fine aggregate, coarse aggregate and admixtures. HPC's durability and strength are more excellent than ordinary concrete. This is due to the low water to cementitious material ratio and the presence of cementitious materials and chemical admixtures.In this current research paper, to incorporate high performance concrete as sustainable concrete using natural fibers. The choice of admixture has been made considering the concrete's strength and sustainability targets. M50 grade of fibers reinforced concrete mix is prepared using cement, water, fine aggregate, coarse aggregate and admixtures varying proportion of fibers and subjected to a curing process. After the curing process, the concrete mix's compressive strength, tensile strength and flexural strength are analyzed at 3 days, 7 days, 28 days, 56 days days. Additionally, natural and synthetic fibres are used to analyse the strength of the concrete mixture.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

High Performance Concrete; fibers reinforced concrete; Compressive strength.

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Creative Commons Attribution 4.0 and The Open Definition