Breast Cancer Analytics Classification using MEFBUD DCNN Techniques

Breast cancer is the most dangerous and deadly form of cancer. Initial detection of breast cancer can significantly improve treatment effectiveness. The second most common cancer among Indian women in rural areas. Early detection of symptoms and signs is the most important technique to effectively treat breast cancer, as it enhances the odds of receiving an earlier, more specialist care. As a result, it has the possible to significantly improve survival odds by delaying or entirely eliminating cancer. Mammography is a high-resolution radiography technique that is an important factor in avoiding and diagnosing cancer at an early stage. There are numerous procedures and approaches for detecting cancer in the tissues of the breast. This work presents the image processing, segmentation, and deep learning methodologies and approaches for the diagnosis of breast cancer. This research will help people make better decisions and use trustworthy techniques to find breast cancer early enough to save a woman's life. Pre-processing, segmentation, and classification are some of this system's steps. We've included a thorough study of several techniques or processes, along with information on how they're used and how performance is measured.  The stated results lead to the conclusion that, in order to increase the chances of surviving breast cancer, it is crucial to develop new procedures or techniques for early diagnosis. For researchers to effectively diagnose breast cancer, segmentation and classification phases are also difficult. Therefore, the precise diagnosis and categorization of breast cancer still require the use of more advanced equipment and techniques

A Comparative study Between First Generation and Second Generation Antipsychotics over the Development of Metabolic Syndrome in persons with First Episode Drug Naïve Schizophrenia.

INTRODUCTION: Schizophrenia is a variable, significant and disruptive psychopathology, affecting every aspect of human life experiences like perception, cognition, emotion and behaviour, resulting in profound and often long lasting impairment, not only for persons affected, but also for the family and society, causing huge consumption of health costs, distress, loss of manpower, quality of life and productivity and ‘arguably the worst disease affecting mankind, even AIDS not exempted’ [Nature 1988]. It has puzzled physicians, philosophers and general public alike for centuries, as if it is a single disease, but it is probably comprises a group of syndromes due to multifactorial aetiology involving genetic, developmental, psychoneuroimmunological and environmental interactions in manifesting the disease. Schizophrenia affects approximately 1% of the population, involving all cultures, society, race and nations, and commonly affecting during the fertile period of adolescent and young adulthood with a tendency for chronic course. The treatment of schizophrenia has evolved over a long period of history with ancient remedies of plant extracts,with the revolutionary introduction of chlorpromazine in the 1950’s and the beginning of research on psychopharmacology. Based on the clinical improvement of psychotic Symptoms and molecular studies of neurotransmitters and receptors,the dopaminergic hypothesis of schizophrenia was proposed for these early indroduction of psychotropic drugs, following the indroduction of chlorpromazine, preferentially blocking dopamine 2 receptors, hence these drugs were called dopamine antagonists or typical or first generations antipsychotics. Apart from the effectiveness, it caused movement disorders of both acute and chronic [Tardive dyskinesias] in addition to other side effects, prompting research for drugs with minimum side effect profile resulting in the introduction of Dopamine-serotonin antagonists or atypical or second generation [preferentially blocking serotonin receptors] antipsychotics with different side effect profiles and equal efficacy except clozapine with much enthusiasm. [Canadian journal of psychiatry 2005;50;703-14.] Although they were associated with less incidence of dyskinesias, soon it was found that they cause various derangements in metabolic parameters like weight gain, hypertension, dyslipidemia and dysregulation of glucose metabolism, which are established risk factors for cardiac and cerebrovascular complications, which causes catastrophic implications and premature death, requiring long term prophylaxis, dispelling the myth of superiority of atypicals over the typical antipsychotics. [schizophrenia Research 2004;71;195-212]. So the rational of the study is to find out the emergence of metabolic syndrome, which was established in various studies in the past, of the second generation antipsychotics and comparing it against first generation antipsychotics, in individuals with drug naïve first episode of schizophrenia to avoid the disease effect, in our Institute of mental health, Madras Medical College, Chennai-10

Socio-Economic and Occupational Status of The Fisherman Community in Thoothukudi District

This research study aims to examine the socioeconomic and occupational status of the fisherman community in the Thoothukudi district, located in the southern part of Tamil Nadu, India. The fishing community plays a vital role in the region's economy, contributing to the livelihoods of numerous households and supporting the local fishery industry. The study adopts a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather comprehensive data on various aspects of the fisherman community's socioeconomic conditions and occupational dynamics. A representative sample of fishermen and their families residing in different coastal villages within the Thoothukudi district will be selected for data collection. The quantitative phase involves administering structured surveys to collect data on demographic characteristics, education levels, household income, asset ownership, and access to social welfare programs. Additionally, information related to occupational factors such as fishing techniques, equipment, fishing practices, and income generated from fishing activities will be collected. The qualitative phase comprises in-depth interviews with a subset of participants to explore their perceptions, challenges, and aspirations related to their occupation and socio-economic circumstances. The qualitative data will provide a nuanced understanding of the fisherman community's lived experiences, social networks, and community support systems. The collected data will be analyzed using appropriate statistical methods and qualitative thematic analysis techniques. The findings of this research are expected to shed light on the current socioeconomic and occupational status of the fisherman community in the Thoothukudi district. The study will also identify key challenges and opportunities faced by the community, including issues related to poverty, education, healthcare, and infrastructure. The results of this study can inform policymakers, government agencies, and non-governmental organizations working towards the welfare and development of the fisherman community. By understanding the socio-economic and occupational dynamics, stakeholders can design targeted interventions and policies to enhance the livelihoods, well-being, and sustainable development of the fisherman community in the Thoothukudi district and similar coastal regions

Human Impact on Marine Life and Ecosystems: An Assessment of Conservation Strategies

Human activities have had a significant impact on marine life and ecosystems, necessitating the implementation of conservation strategies to mitigate further damage. This abstract examines various conservation strategies and their effectiveness in addressing the human impact on marine environments. Industrialization, overfishing, pollution, and climate change have all had serious consequences for marine life. Coral reefs, seagrass meadows, and marine biodiversity have been degraded to unprecedented levels. To protect marine ecosystems, conservation strategies such as marine protected areas (MPAs), sustainable fishing practises, and pollution control measures have been implemented. MPAs have emerged as powerful tools for safeguarding critical habitats and species. They increase biodiversity, improve fish stocks, and mitigate the effects of human activity. Their success, however, is dependent on proper design, enforcement, and long-term monitoring. Sustainable fishing practices, such as ecosystem-based management and the implementation of fishing quotas, aim to ensure the long-term viability of fish populations while lowering bycatch and habitat destruction. These strategies have shown promise in restoring fish stocks and maintaining ecosystem health. Pollution control measures, such as wastewater treatment and stricter regulations on industrial and shipping activities, have been critical in reducing marine pollution. However, more comprehensive approaches are required to address emerging threats such as microplastics and chemical contaminants. The study's primary goal is to identify the factors that influence the organic product market in India. A sample size of 201 is used for empirical research. Chennai, Tamil Nadu, is the sample location. Age, gender, marital status, educational level, occupation, and monthly income are the independent variables. Biological Data, Environmental Data and Socio-economic Data are the dependent variables. It is possible to conclude that there is a lack of a well-established market for organic products in India, despite the fact that organic products have a high export potential. Finally, conservation strategies are critical for mitigating human impacts on marine life and ecosystems. MPAs, sustainable fishing practises, and pollution control measures can all help restore and protect marine biodiversity. However, ongoing research, adaptive management, and international cooperation are required to develop and refine these strategies to address emerging challenges in marine conservation

Behavior of Hybrid NSM Reinforced and Externally Confined Reinforced Concrete Columns under Eccentric Compression –Experimental and Numerical Studies

The effectiveness of hybrid combination of ne ar surface mounted (NSM) and externally confined (EC) FRP strengthenin g on the performance of RC column elements under uniaxial eccentric compression is investigated. In total, ten short RC column elements were cast. Carbon FRP is used for strengthening due to its inherent stiffness and strength properties on par with other FRP materials. The columns were strengthened using NSM CFRP laminates, EC using CFRP fabrics and their hybrid combi nations. A non-linear finite element model is developed using ABAQUS and the numerical model is calibrated using the experimental results to improve the accuracy of the predict ions. Experimental results revealed that hybrid strengthening of RC columns was able to show a better performance in terms of stiffness, strength, ultimate displacement ductility when compared to other FRP strengthening techniques. The numerical predictions obtained were able to better capture the initial stiffness, peak load and post-peak behavior. Thus, the proposed hybrid strengthening technique for RC columns possess the capability of restoring the loss in stiffness, strength and ductility due to additional bending moment induced by the eccentric compression loading

A flap graft technique for the reconstruction of extensor mechanism of the knee in a case of peri-articular synovial sarcoma managed by limb salvage

Synovial sarcoma is a malignant soft tissue tumour arising from the primitive mesenchymal cells which has a delayed progression has a slow progression and often mis-diagnosed. A fifty-two years old female presented with complaint of swelling, pain and inability to move her left knee for three years duration. Presented with recurrence for which Wide excision of the tumour, with reconstruction of knee using custom mega-prosthesis and extensor mechanism reconstruction was done. Patient had a good functional outcome and no recurrence

Bonded overlay strengthening of hollow core slab with and without interface shearkeys connection

Precast Prestressed Hollow Core Slabs (PPHCS) are most commonly used as flooring and roofing elements. Usually, a new layer of concrete is placed on the top of hollow core slabs to create a continuous and levelled surface. The common thickness of this bonded overlay will be around 50 mm to 75 mm deep. The provision of Bonded Overlay (BO) will increase the cracking load and flexural strength of hollow core slab after the full composite action is developed. In the present study, the effect of shear keys at the interface of bonded overlay and hollow core slab is studied. The hollow core slab and bonded overlay is expected to have a full composite action until failure without any interface separation. The dimension of hollow core used in this investigation is 600mm wide, 150mm depth and 3500mm length. In total, three full-scale hollow core slabs were tested under shear span (a) to depth (d) ratio of 7.5. The three specimens which include un-strengthened slab denoted as control slab, slab strengthened with bonded overlay without any shear keys at the interface and bonded overlay with shear keys. Bonded overlay specimens without shear keys resulted in interfacial failure and it was able to increase the peak load by 38.4% compared to the control specimen. However, the bonded overlay with shear keys resulted in full composite action till the final failure and it was able to increase the peak load by 59.6% compared to the control specimen. The provision of shear keys at the interface of hollow core slabs and bonded overlay resulted in full composite action

On-stack replacement, distilled

On-stack replacement (OSR) is essential technology for adaptive optimization, allowing changes to code actively executing in a managed runtime. The engineering aspects of OSR are well-known among VM architects, with several implementations available to date. However, OSR is yet to be explored as a general means to transfer execution between related program versions, which can pave the road to unprecedented applications that stretch beyond VMs. We aim at filling this gap with a constructive and provably correct OSR framework, allowing a class of general-purpose transformation functions to yield a special-purpose replacement. We describe and evaluate an implementation of our technique in LLVM. As a novel application of OSR, we present a feasibility study on debugging of optimized code, showing how our techniques can be used to fix variables holding incorrect values at breakpoints due to optimizations