Volume 12 | Issue 3

 Abstract

Abstract: Cancer is characterized by uncontrolled cell growth and acquisition of metastatic properties. Some common forms include breast cancer, lung cancer, prostate cancer, colorectal cancer, and leukemia. Despite significant advances in research and treatment modalities, cancer remains a significant public health challenge, with millions of new cases diagnosed each year. For effective cancer therapy, it is necessary to improve and develop novel strategies for effective delivery of chemotherapeutics to cancer cells. Conventional chemotherapeutic agents accumulate both in normal and tumor cells due to non-specificity. The ultimate goal of cancer therapy is to reduce systemic toxicity and improve the quality of life. The landscape of cancer treatment has improved significantly over the past four decades. Novel treatment with ONCOS-102, developed by Targovax, is a genetically modified adenovirus designed to selectively infect cancer cells in lungs and stimulate anti-tumor immune responses has been developed in recent years. New approaches, such as Photodynamic therapy(PDT) is a minimally invasive treatment that utilizes a photosensitizing agent, light, and oxygen to selectively destroy oral cancer cells. One photosensitizer that has shown promise in oral cancer treatment is 5-aminolevulinic acid of oral cancer. Immune checkpoint inhibitors, such as anti-PD-1 or anti-PD-L1 antibodies, block this interaction, thereby reactivating T cell-mediated anti-tumor immune responses in Breast cancer. With the development of molecular biology and genomics, targeted therapy research has achieved a breakthrough development, including anti-angiogenesis, immune checkpoint inhibitors, and other treatments that are efficient for treatment of cervical cancer. a novel approach to the development of AR antagonists is to target the amino-terminus domain of the AR. The small molecule AR antagonist EPI-001 inhibits protein-protein interactions necessary for AR transcriptional activity. A promising novel approach for treating gastric cancer involves targeting the human epidermal growth factor receptor 2 (HER2), which is overexpressed in approximately 20% of gastric cancers.

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- Photodynamic therapy, programmed death-ligand 1, human epidermal growth factor receptor 2, Androgen Receptor Signaling Pathway

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In recent years studies on drug utilization (DU) have become a potential tool to be used in the evaluation of health systems. Studies on the process of DU focus on factors related to prescribing, dispensing, administering and taking of medication and its associated events. DU data is available from databases - computerized or otherwise. From these databases different types of information, qualitative or quantitative or referring to a particular population are available. Patient files and computer registries are widely used as instruments for collecting information on DU. Prospective, Concurrent or Retrospective Drug utilization evaluation (DUE) may be used depending upon the timing of data collection. Importance of DUE in Pharmacoepidemiology (PE) have been increasing due to their close association to other areas like - public health, Pharmacovigilance (Pv), Pharmacoeconomics and pharmacogenetics. This review article highlights various aspects, scope, types and future perspectives of DUE.

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Drug utilization (DU), Pharmacoepidemiology (PE), Pharmacoeconomics, Data collection, Drug utilization evaluation (DUE) cycle.

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Leukemia, a widespread and life-threatening cancer that affects people of all ages, is a global health problem. This disorder predominantly affects White Blood Cells (WBCs), altering bone marrow and blood and causing immature lymphocyte proliferation. The accurate and prompt identification of leukemia is critical for successful treatment and increased survival rates. Currently, the diagnosis is based on manual examination of blood samples from microscopic pictures, a slow, time-consuming technique with inadequate accuracy. Furthermore, the visual resemblance between leukemic and normal cells under a microscope adds to the detection problem. Recent years have witnessed the emergence of Convolutional Neural Network (CNN)-based deep learning algorithms, setting new benchmarks in image classification. However, chances to improve their efficacy, learning processes, and overall performance remain, notably in the field of leukemia diagnosis. In this detailed analysis, we dig into several methodologies previously used in the field of blood cancer detection. In addition, we highlight the field by displaying benchmark datasets often used in leukemia detection studies. We want to clarify the intricacies and complexity within this domain through comparative study, thereby driving advancement in leukemia diagnosis and treatment.

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Leukemia Cancer, Deep Learning, Machine Learning, Convolutional Neural Network, Microscopic images.

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The judicial landscape in India is undergoing a significant transformation with regards to the protection and enforcement of the rights of victims. This article delves into the intricate judicial pursuit aimed at safeguarding the rights of victims within the Indian legal framework. Through an analysis of landmark cases, legislative developments, and judicial pronouncements, this study offers insights into the evolving nature of victim rights protection. Key areas of focus include access to justice, compensation, rehabilitation, and participation in legal proceedings. The article highlights the challenges faced by victims in navigating the legal system and the efforts made by the judiciary to address these challenges. Moreover, it explores the role of judicial activism and public interest litigation in advancing the cause of victim rights. By examining the principles of restorative justice and victim-centric approaches, this article underscores the need for a holistic and rights-based approach towards victim protection. Ultimately, it contributes to the ongoing discourse on enhancing the efficacy of legal mechanisms in promoting the rights and dignity of victims in India's evolving socio-legal landscape.

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Victim rights, judicial pursuit, India, access to justice, compensation, rehabilitation, legal proceedings.

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In this paper, we propose the use of CycleGAN for custom outfit generation. CycleGAN is a type of Generative Adversarial Network (GAN) that can learn to map images from one domain to another domain without requiring paired training data. Our goal is to generate new, realistic images of clothing items based on existing images from a different source domain. We propose a novel approach that combines CycleGAN with a fine-tuning step using a small set of paired data. Our approach is able to generate custom outfits that are both realistic and visually appealing, with high-quality details and textures. We evaluate our approach using a clothing dataset and demonstrate that it outperforms other state-of-the-art methods in terms of image quality and visual similarity.

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CycleGAN, GAN.

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The depression is a medical condition and it is among the major mental diseases that affects numerous people worldwide. For this work, the Distress Analysis Interview Corpus-Wizard of Oz interviews (DAJC-WOZ) dataset will be utilized which contains 189 sessions in zip file format and responses from 59 depressed and BO non-depressed patients[1]. This dataset has video, audio and text clips so individual preprocessing techniques are utilized which is given as a source for depression detection level. The inputs are in the form of video, audio and text, so individual preprocessing methods for feature extraction are used with separate techniques. Then, the extracted features from separate techniques are concatenated and given as input for the classification of depression level. The Long-Short Term Memory (LSTM) can be utilized in this research for classifying the depression levels

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 Abstract

vikashshil desho k liye aarthik prgati me buniyadi dhache ke mhatva ka adhyayan

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vikashshil desho k liye aarthik prgati me buniyadi dhache ke mhatva ka adhyayan

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Wheat crop classification and prediction are important tasks for the optimization of crop yield and resource utilization. In this study, we propose an Artificial Neural Network (ANN) model integrated with Genetic Algorithm (GA) to predict and classify the wheat crop images of different ages. The dataset of 19,300 images was used, and the model was trained and tested using various performance evaluation metrics. The results show that the proposed ANN+GA model achieved the highest accuracy of 99.29% during the training phase and 98.65% during the testing phase. The model was also compared with other state-of-the-art machine learning models, and the proposed model was found to be superior in terms of accuracy, specificity, sensitivity, precision, and F-measure. The graph of training and testing accurateness and loss values in contradiction of individual epoch demonstrating the speediness of model convergence. Our proposed model is feasible and robust, giving better classification and crop forecast outcomes for numerous wheat crop age groups with least resource necessities. These findings could be useful for farmers and agricultural researchers in improving crop yield and resource management.

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Genetic algorithm, Artificial Neural Network, prediction, crop yield

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 Abstract

Competency helps to perform your work/job effectively. Competency is human quality, like- collaborative skills, knowledge and skills. An effective digital pedagogy thus starts not with a static list of tools, but with fundamental learning goals and strategies, to which appropriate technology is added to strengthen student outcomes and objectives. Technological awareness expresses the knowledge, experience, comfort and skills needed to use basic technology. In the 21st century, it is essential for teachers because today's word is changing rapidly and the education sector is experiencing these changes, especially in media. The overarching purpose of this research was to find out to what is the competency of teacher to use the technology in teaching. A representative sample of 90 higher secondary school teachers (50 in the city and 40 in the village side) was taken, and Teacher's Techno- Pedagogical Competence Scale developed by S. Rajshekhar and K. Sathiyaraj, was used to collect data. The scale consists 40 items divided into four category- I. Technology in preparation for teaching, II. Technology in providing motivation, III. Technology in presentation, IV. Technology in evaluation. After collecting or analyzing the data, the researcher found that there is no significant difference between Techno - Pedagogical Competency of higher secondary school teachers based on gender (male and female) and region (urban and rural).

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Technology, Digital Pedagogy, Technology and Pedagogy

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The importance of road transport is huge as it plays a vital role in connecting people. According to data released by the Pune City Traffic Police, nearly 293 Punekars lost their lives in road accidents in the city in 2022. An analysis conducted by the Pune Traffic Branch has revealed that of the 87 fatal two wheeler deaths in accidents on Pune roads in 2020. The timely emergency pre-hospital care and subsequent transportation of accident victims to the health facility may help reduce the accident and injury outcomes. This project focuses on detecting ongoing accidents to activate emergency services promptly. The system is equipped with sensors which are capable of detecting sudden impacts or collisions, signifying the occurrence of an accident. Key feature of the project include the seamless operation of the embedded system, allowing it to function without interfering with the bike's normal operations. In brief, the project holds the potential to save lives and improve emergency management for motorcycle accidents, providing a vital contribution to road safety without going into accident prediction.

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SOS, Emergency services, Sensors, Accident detection

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ImpactInvestingisacommunityofinvestorswillingtocreatesocialandenvironmentalimpact along with financial returns by investing either directly with Base of Pyramid5 (BoP)enterprises or indirectly through enterprises that help in creating impact by investing in BoPorganizations. Adoption of SDGs6 quantified the expectation paradigm of the global communityfor social, environmental and economic achievable and projected/targeted achievement of SDGsby 2030 made the governments, businesses, institutions daunted with the task in hand hence, it isimperative for investing community to contribute its share as well. With high social need andunderservedpopulationIndiahasbecomeatestbedforimpactinvesting.However,withincreasingimpactinvesting,ImpactMeasurementandManagement(IMM)gainssignificantimportanceasitallows investors to evaluate impact and channelize fund to most effective solutions. The presentstudy conducted for year 2019 not only attempts to explore impact investing landscape in Indiaand its future dimension but it simultaneously does content analysis of impact report of investorsusing impact value chain7 and indicators developed on the basis of SDGs targets and indicators.The analysis aims to establish a link between developed indicators and impact, the link onceestablished, developed indicators will provide agile, cost effective, quantifiable and measurablebasisto impact that has worldwide acceptance.

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Impact Investing, Sustainable Development Goals (SDGs), Impact Measurement,ImpactMetrics,Indicators.

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Social media has been a tool in raising voice, awareness, and call for social change. It allows people to have access to a level of communication that the older generation never had. Through social media, people can now easily call out wrong practices, injustices, and have a voice in different situations. The main objective of the present investigation is to analyze the role of Social Media - YouTube and Instagram on costume variation and to find out changes in style of costumes of young adults. A sample pool of 150 youngsters' was selected, out of which, 75 were males and 75 were females from Hyderabad city. A questionnaire consisting of 24 questions was prepared with suitable items which were filled by the Young Adults in Hyderabad City. It was found that Social Media - YouTube and Instagram have positive and significant role on costume variation and in the change in styles of costume of young of young adults.

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Social Media , Costume Variation

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The infrastructure cloud (IaaS) service model offers businesses and organizations the ability to access and utilize computing resources on-demand without having to invest in and maintain physical hardware infrastructure. While the current cloud security model may not fully align with traditional threat models developed for on-premises environments, there is ongoing progress toward strengthening the security posture of IaaS platforms. From the perspective of a tenant using cloud services, the current cloud security model is not yet fully equipped to withstand threat models that were traditionally developed for environments where hosts are operated and used by the same organization. However, significant progress is being made towards strengthening the security model of Infrastructure as a Service (IaaS) platforms. This model provides improved resource flexibility and availability, allowing tenants to rent computing resources to deploy and operate complex systems without worrying about the details of hardware maintenance. However, despite the benefits offered by IaaS platforms, many organizations, particularly those dealing with sensitive data, are hesitant to migrate their operations to the cloud due to security concerns. In response to these concerns, this paper proposes a framework for enhancing data and operation security in IaaS environments. The framework consists of secure and flexible resource allocation with the trusted launch of virtual machines and domain-based storage protection. These aim to establish trust by ensuring the integrity of the host platform configuration before launching guest virtual machines and by ensuring the confidentiality of data stored remotely, with encryption keys maintained outside of the IaaS domain. This analysis helps to establish reliability and effectiveness and enhance system security in IaaS environments.

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Infrastructure as a Service (IaaS), Cloud computing, Data security, Virtual machines

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Diabetic dermopathy is a cutaneous manifestation usually visible in diabetes sufferers and changed into to begin with defined with the aid of using Melin in 1964.These lesions are well-demarcated, hyperpigmented macules or papules with atrophic melancholy and have been usually sighted on shins of the tibia with bilateral asymmetrical distribution and seldom visible on arms, thighs and abdomen. The occurrence of DD ranges from 0.2 to 55%. It has been often related with microangiopathic complications of diabetes such as nephropathy, retinopathy and polyneuropathy. Although the precise mechanism of prevalence is unknown, it can be associated to impaired wound healing because of decreased blood flow, nearby thermal trauma or nearby subcutaneous nerve degeneration. Diagnosis is made by physical examination and the differential diagnosis includes stasis dermatitis, early lesion of necrobiosis lipoidica and purpuric dermatitis. Prevention of dermopathy lesions consists of optimized glucose control. No lively remedy is usually recommended or established powerful and DD is thought to remedy on its very own as time passes. Modified collagen and excessive glycerine-primarily based totally lotion have proven marked development in pores and skin colour adjustments because of diabetic dermopathy. Diabetic dermopathy is understood to have a sturdy affiliation with microangiopathic complications; The presence of such lesions should improve robust suspicion and activate research for excessive underlying pathology. Enhanced scrutinized glycemic manage in diabetic dermatopathy sufferers may even result in abatement in in addition development to microvascular headaches and stepped forward long-time period affected person outcomes.

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diabetic dermatopathy, pretibial patches, cutaneous lesions in diabetics, microvascular diseases

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In this review, Leprosy is a chronic infectious disease which is caused due to the Mycobacterium leprae bacillus. Brazil has the second supreme number of leprosy cases around the world with about 30,000 new cases diagnosed in 2005. Anti leprotic agents inhibits mycobacterial growth and binds preferentially to mycobacterial DNA.The various drugs like Dapsone, Clofazimine, Rifampin, Ethionamide, Ofloxacin, Moxifloxacin, Minocycline, Clarithromycin are known for their antileprotic activity.

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Leprosy, Mycobacterium leprae, Hansen's disease

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Abstract After the reforms banking services, the face of Indian consumer is changing this is reflected in a change in the urban household income pattern. The direct follower of such change has been a change in the consumption patterns of the banking habits of Indians. Besides banks financial compulsions have forced them to focus more clearly on retail banking. This paper attempts to explore new insights of retail banking, trends and strategies of retail banking in India. Retail banking in India has witnessed enormous growth in the recent past. It primarily covers analysis of the present status, current trends, major issues &challenges in the growth of the retail banking sector. This report help clients in analyzing the opportunities, Growth opportunities in banking: especially retail segment is set to witness fast growth due to high consumption. The higher growth of retail lending in emerging economies is attributable to fast growth of personal wealth, favorable demographic profile, rapid development in information technology, the conducive macro-economic environment, financial market reforms, and several micro- level supply side factors. Challenges and drivers critical lo the growth of the Retail Banking Industry in India. The future forecast discusses the prospects of different arms of banking industry including rural banking, bancassurance, financial cards, mobile banking, and role of technology in rural banking.

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Retail Banking, Emerging trends, India, Strategies

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Oral administration is the most convenient and preferred means of any drug delivery to the systemic circulation.Controlled-release drug delivery systems (CRDDS) provide drug release at a predetermined, predictable and controlled rate required for therapeutic effect. To improve the solubility and bioavailability of poorly water soluble drugs, solid dispersions is the most frequently used. Amongst solid dispersions, lipid based carriers had a higher success rate in enhancing the bioavailability of Class II drugs (Furosemide), one such promising group of carrier is Phospholipid (soyalecithin). The aim of the present work was to prepare phospholipid solid dispersion of Furosemide (PLD) with soy lecithin in different ratios using solvent evaporation method. The prepared PLD4 was used to prepare core tablets (F1-F5) using polymers HPMC K4M & E15, which were further subjected to compressed coat (C1-C5) using sodium bicarbonate, PVP K 30 and HPMC E5. Post-compression parameters of Furosemide tablets were evaluated. Formulation F4 core tablet was optimized having drug release of 93.31% in 12 hrs, drug content was 99.50%, floating lag time 16sec with floating time 12 hrs. Among compressed coated floating tablets of Furosemide, C3 has shown 93.31% release with zero order release pattern.

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Solid dispersion, soyalecithin, floating lag time, higuchi equation, compressed coated

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pharmacotherapy benign prostatic hyperplasia includes various options with differing side effect profiles, including alpha blockers, 5-alpha reductase inhibitors, phosphodiesterase inhibitors, anticholinergics, and beta-3 agonists, each with unique efficacy and safety considerations.

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Benign prostatic hyperplasia , alpha blockers ,5 alpha reducters inhibitors,phosphodiesterase inhibitors,anticholinergics ,beta 3 agonists

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It is vital to conserve energy for evolution, growth, and survival as it is a component of day-to-day life as well as increase in demand. India as a nation developing country and require focusing on energy. Energy conservation with proper methodology like energy audit can be proper solution. The paper focuses on the importance of energy conservation by considering the loads of a forging plant having a contract demand of 450 kVA with HT1 connection considering the energy consumed by the present loads and recommending energy efficient technology.

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Energy, Forging

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Satisfaction and success in life is directly linked to the vocational success. The present study aims to compare the vocational Interest of Muslim adolescents and to study the effect of their family background factors on vocational Interest. For this purpose 100 Muslim Adolescent from Dist. (U.S.N.), Uttarakhand were selected through simple random sampling.Vocational Interest Record developed by Bansal V.P. and Srivastava D.N. was used. The collected data was analyze using t- test and ANOVA test. Result revealed that boys were found slightly more interested than the girls in agriculture area. Whereas girls were shown more interest in household jobs than boys. Muslim boys and girls in reaming areas namely : artistic, executive commercial, literary, scientific and social field found insignificant result at 0.05 level of significance at df 98. No significance difference found in the vocational interest of rural and urban Muslim adolescents.

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Key words: Vocational Interest, Muslim Adolescent

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