Volume 12 | Issue 7

 Abstract

This study addresses the critical issue of evaluating the health and quality of freshwater ecosystems using amphibians as bioindicators. The research problem revolves around the sensitivity of amphibians to various contaminants in Indian freshwater environments, necessitating an investigation into amphibian population dynamics, physiological responses, and the chemical and physical parameters of their habitats. The main findings of this study reveal that amphibians, particularly due to their permeable skin and semi-aquatic habitats, exhibit high sensitivity to alterations in water quality, making them reliable bioindicators. Key data indicate significant correlations between amphibian population declines and increases in water pollutants such as heavy metals, pesticides, and industrial effluents. The physiological responses of amphibians to these contaminants were found to be indicative of broader ecosystem health issues. The study's significance lies in its contribution to understanding the impact of water pollution on both aquatic ecosystems and human health, as contaminated water sources pose serious health risks to human populations. The broader implications of this research highlight the urgent need for conservation efforts and sustainable management practices to protect freshwater ecosystems, emphasizing the role of amphibians as critical bioindicators in monitoring and maintaining water quality.

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amphibians, bioindicators, fresh water, Indian amphibians

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Cotton is a critical cash crop, and its yield is significantly affected by various leaf diseases. Early and accurate recognition of these diseases is essential for mitigating damage and ensuring sustainable agricultural productivity. In this paper, we propose a hybrid CNN-LSTM (Convolutional Neural Network - Long Short-Term Memory) model for automated cotton leaf disease recognition. The model leverages the feature extraction capability of CNN to capture spatial patterns from input images, followed by the LSTM to process sequential features and detect temporal dependencies in the disease progression. An attention mechanism is integrated to focus on critical disease-specific features, further enhancing recognition accuracy. The model is trained and tested on a subset of the Plant Village dataset, comprising images of healthy and diseased cotton leaves, including common diseases like bacterial blight, fungal infections, and leaf curl virus. Data augmentation techniques are applied to enhance the robustness of the model, making it suitable for real-world field conditions. The proposed model achieves high accuracy, precision, and recall, outperforming conventional CNN-based approaches. This work demonstrates the potential of hybrid deep learning models in precision agriculture, offering an efficient and scalable solution for early disease detection and crop management.

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Cotton Leaf Disease, CNN-LSTM Hybrid Model, Deep Learning, PlantVillage Dataset, Disease Recognition, Convolutional Neural Network, Long Short-Term Memory

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The recent usage of deep sub-micron tenure was due to the rise in demand for integration of much more components on to a single chip for better performance with less power consumption. ASIC consists of logic blocks which are pre-designed and pre-verified in system library functions which lead to the success for the rapid increase of integrated system. Standard cell methodology is a phenomenon of designing ASICs (Application Specific Integrated Circuits) that is used in designing semiconductors with digital-logic features [1]. The cells or logic gates selected to build the library depends on the design requirement. These cells when used in the Semi-Custom Design Flow have to meet certain functions and performance. A successful and efficient implementation of a Semi-Custom Design depends on the standard cells in the library. Therefore, it is important to have a high quality cell library [2]. Modern integrated circuits are very large containing over a billion of transistors. Designs based on sub-micron technologies will always be a challenging task for the manufacturer to produce it at a very competitive cost. One approach is to use 'Cell-Based' implementation using Standard cell library [3]. Standard cells allow tools to automatically synthesize a circuit and optimize area, power consumption and timing. The state of the art Standard Cell Library using CMOS technology In this paper, overview of survey on history and development of standard cell library by considering different specifications like area, power, speed and driving strength in different technology(90nm, 65nm, 45nm and so on) for different applications is discussed.

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 Keywords

AutoCelllib, CADENCE, CMOS, DSM technology, FinFet, Standard Cell Library, Low Power

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The double burden of malnutrition (DBM)" accord of the landscape like overnutrition and undernutrition of different individuals of the same population and household. This research tries to explore dynamic of DBM in child of ten poorest areas of India from the year of 2019 to 2022. Lack of persistent diarrhoea, nutritious foods and inadequate breastfeeding are focused on undermining the status of a child's nutritional. The study explores the need for programs and policies which address the of malnutrition's. This study uses the mixed-methods data collection process, combining qualitative and quantitative data collection. It also focuses on analysis the DBM among the children of ten India's poorest areas. This study aims to explore the factors of the DBM among Children in Poor Areas of India. The findings of the results shed light on the complexity of DBM and the necessity to mitigate its impact on future generations.

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Double Burden of Malnutrition. Children, Under Nutrition, Poor areas, India

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United Nations has set some standards for the protection of environment and thus levied the step to put forward the ground for sustainable development goals (SDGs) way back in 2015.hence to safeguard and protect environment it is time to address this issue and protect our environmental wealthit ensures protection of human well being ,economic prosperity and environmental protection .out of them one of them is impact extraction and recycling of rare earth elements and comparison of all categories of rare earth elements because of their wide and beneficial applications .

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Rare earth elements,sustainable development goals

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The 2022 Punjab Assembly elections were a turning point, characterized by a decisive victory for the Aam Aadmi Party (AAP), which won 92 of the 117 seats. This shift reflected a widespread voter disappointment with the Congress party, marred by internal conflicts and governance issues. AAP's success was fueled by its promises of anti-corruption measures, governance reforms, and addressing key issues such as unemployment and drug abuse. The election dynamics revealed a growing public appetite for new political alternatives, moving away from long-standing parties like the Congress and Shiromani Akali Dal (SAD). Voter behavior showed a clear preference for fresh, pragmatic solutions over traditional political narratives. This change signals a transformative phase in Punjab's politics, emphasizing the electorate's desire for effective governance and new political leadership.

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Dynamics, Behavior, Transparency, Campaign and Governance

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PAPER ABSTRACT 1. Topic: To study spectrum of histopathological lesions of prostate with clinical concordance at tertiary care hospital. 2. Author: Dr. Monika Patel 3. Presenter: Dr. Monika Patel 4. Affiliation: S.B.K.S. MI & RC, Vadodara (Dhiraj Hospital) 5. PG Teacher: Dr. Jasmin Jasani 6. Key words:Prostatic hyperplasia : Adenocarcinoma 7. Introduction: Prostate is pear shaped largest accessory glandular organ. Prostatic lesions are common with advancing age causing symptoms related to urinary tract. Histopathological diagnosis is of prime importance since the clinical presentation of both benign and malignant lesions is very similar however the treatment and prognosis is quite different. 8. Methods: This study includes total 61 consecutive patients admitted with prostatic lesions between December 2022- October 2023. 9. Results: Most common- Benign Prostatic Hyperplasia with acute/chronic inflammation: 54% Benign Prostatic Hyperplasia- 31% Malignant lesions:13%. Age group :61-70 yrs. Youngest-37 yr ; eldest 82 yr old. 10. Statistical test: Observational- cross section study: Calculating prevalence. 11. Conclusions: Histopathological evaluation of prostate biopsy is gold standard in diagnosing prostate lesions. Benign prostatic hyperplasia with inflammation is most common. 12. References: a. Juan Rosai. Male reproductive system. Juan Rosai (editor). Juan Rosai and Ackerman`s Surgical Pathology. 11th ed,: 2018; 1097-1119.

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HISTOPATHOLOGICAL LESIONS OF PROSTATE

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Male breast cancer is a rare disease, the delay in diagnosis and treatment of this affection in men unlike that of women is a prognostic factor. The number number of invaded lymph nodes and tumor size are also strong factors prognostics, the other pejorative prognostic factor remains the advanced age at diagnosis, particularly in case of presence of comorbidities which could limit the therapeutic choices and possibilities hence the interest in carrying out prospective randomized studies. larger-scale studies in order to improve the management and prognosis of this condition whose psychosocial impact is considerable. Endocrine therapy is the cornerstone of the treatment of breast cancer and prostate. Although endocrine therapies are associated with prolonged survival and reduced risk of cancer recurrence, they are also associated with side effects painful psychological and physical .

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male breast cancer , prostate cancer

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Moringa oleifera, also known as the "tree of life" or "miracle tree,"or the never die tree, and the ben oil tree is classified as an important herbal plant due to its immense medicinal and non-medicinal benefits. Traditionally, the plant is used to cure wounds, pain, ulcers, liver disease, heart disease, cancer, and inflammation. This review focuses on Taxonomy, propagation and phytochemical properties of Moringa oleifera with a motive to help further research. So far, more than one hundred compounds from different parts of Moringa oleifera have been characterized. The plant also has potent antioxidant, anticancer, antihypertensive, hepatoprotective, and nutritional effects. Therefore, further studies are proposed to explore the plant to identify and isolate compounds along with its therapeutic potential.

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: Moringa oleifera, traditional medicinal uses, pharmacological activity, phytochemistry

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Background: From the point of view of a doctor or nurse, first aid is care that is meant to save lives and lessen the effects of illness and injury until help arrives. Kids should feel safer at home and at school, where they spend most of their time. But these places can also be bad for their health. For kids who love to explore, schools are fun, but they might not know about the risks. Their quick growth and the influence of their peers can make them do dangerous things. The goal: "To evaluate how effective a structured teaching program is in improving first aid management knowledge among primary school teachers in selected schools of Barwala, Hisar, Haryana." How the study was done: a quasi-experimental research methodology was chosen for the study. Schools in Barwala, Hisar, and Haryana were chosen as study sites. A sample. There were 60 teachers chosen for this study as a whole. They used a non-random sampling method, which is also known as a convenience sampling method. To find out how much elementary school teachers knew about first aid, a structured knowledge questionnaire was used to collect data. A self-reporting tool was used to gather information. We used both descriptive and inferential statistics to look at the data. According to the pre-test, 85% of primary school teachers didn't know enough about how to give first aid, and 15% of primary school teachers knew enough. None of the elementary school teachers knew enough about how to handle first aid. 70% of primary school teachers had enough knowledge about first aid management, 20% had average knowledge, and 10% did not know enough. This was shown in a post-test of primary school teachers. In conclusion: The study found that Organised Teaching Programs on how to handle choking in first aid were a good way to teach the material. Findings from the study showed that primary school teachers didn't know nearly as much before Organised Teaching Programs were put in place. After looking at the results, it is suggested that a similar study be done again with a lot of people. More intervention studies should be done to learn more about how to help someone who is choking with first aid.

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Evaluate, Organized Teaching Program, First Aid Management Skills, Primary School Teachers.

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Cloud computing has revolutionized commercial operations by enhancing technology and blending a hybrid workstyle. After COVID-19, businesses may integrate AI and IoT, cloud and blockchain, manage cloud services effectively, and streamline competition without traditional IT infrastructure constraints. The former section of the article analyses the economic influence of cloud computing in business. It also enables the author to select the appropriate cloud solution depending on the size and specific needs of the business. By understanding the features and suitability of each cloud service model, businesses can make informed decisions that align with their operational goals, technical capabilities, and growth strategies. Cloud computing has transformed commercial operations by upgrading technology and incorporating a hybrid mode of work style. After COVID, organizations may combine AI and IoT, cloud and blockchain, effectively manage cloud services, and simplify competition without relying on traditional IT infrastructure. This examines the economic impact of cloud computing on business. It also enables the author to select the appropriate cloud solution based on the size and special needs of the business. Understanding the benefits and applicability of each cloud service model allows businesses to make sound choices regarding the characteristics and viability of each cloud service model based on their operational objectives, technical capabilities, and growth plans.

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Software as a Service (SaaS) solutions, ABCD technology, Platform as a Service (PaaS) solutions, pay-as-you-use model,Infrastructure as a Service (IaaS) solutions, cloud-based CRM, Continuous Integration and Continuous Deployment (CI/CD)

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This review synthesizes existing research on the tolerance of various lemon grass (Cymbopogon citratus) varieties to saline and sodic conditions, key environmental stresses that impact agricultural productivity. Through a comprehensive analysis, this paper examines the physiological and biochemical mechanisms that confer tolerance, the differential responses among common varieties, and the impact of saline and sodic stress on plant growth, yield, and essential oil quality. Methodologies ranging from traditional soil testing to advanced remote sensing are evaluated for their effectiveness in assessing stress responses. Additionally, adaptive strategies including genetic breeding, agronomic practices, and technological innovations are discussed, providing insights into mitigating the adverse effects of these soil conditions. The review highlights the importance of selecting appropriate varieties and implementing integrated management practices to enhance the sustainability of lemon grass cultivation in affected regions. Future research directions are proposed to further understand genetic tolerance mechanisms and develop resilient lemon grass varieties. This work contributes to the ongoing efforts to sustain agricultural productivity in saline and sodic environments, ensuring economic viability and supporting global food security.

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Lemon grass, saline tolerance, sodic tolerance, Cymbopogon citratus, stress response, essential oil, agronomic practices, genetic breeding, remote sensing, soil management.

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Insider threats present a significant cybersecurity challenge due to the legitimate access insiders have to an organization's systems and data, making detection and mitigation particularly complex. Traditional security measures often fail to identify these threats, resulting in considerable damage such as data breaches, intellectual property theft, financial losses, and reputational harm. This paper investigates the use of graph theory for detecting insider threat attacks by analysing the relationships and interactions among various organizational entities. By representing users, devices, and files as nodes, and interactions like access events and communications as edges, we utilize advanced graph-theoretical algorithms to identify anomalous patterns that indicate insider threats. Graph-based approaches offer several benefits, including the visualization of intricate interactions, detection of subtle anomalies, and integration of diverse data sources for a comprehensive organizational overview. We propose a comprehensive system leveraging graph-based analysis, encompassing data collection, graph construction, anomaly detection, and response mechanisms. The system's effectiveness is assessed using a dataset of simulated insider threat scenarios, showcasing its potential to enhance insider threat detection capabilities.

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Insider security

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The paper displays the formulation and evaluation of anti-acne patches made with chitosan, gelatin, tea tree oil, and salicylic acid as active ingredients. Chitosan is dissolved in 1% acetic acid. Glutaraldehyde acts as a crosslinking agent. Both tea tree oil and salicylic acid have antibacterial and anti-acne properties. Evaluation tests such as moisture content, uniformity weight, pH, skin irritancy, etc. are tested. The antibacterial assay was measured using the spread plate method. A zone of inhibition of 26mm was observed, which shows great inhibition activity. PH was found to be 5.3, which is safe to use in the skin. The trials F1, F2, F3 has performed. From this, F2 is found to be more specific.

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acne vulgaris, anti-acne patches, topical application

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Tomato plants are a vital crop worldwide, yet they are susceptible to various leaf diseases that can significantly impact yield and quality. Early and accurate identification of these diseases is crucial for effective management and prevention. This study presents a novel approach to enhanced tomato leaf disease identification utilizing Convolutional Neural Networks (CNN) and advanced image analysis techniques. By employing CNNs, the approach leverages deep learning to analyze and classify images of tomato leaves, distinguishing between healthy and diseased conditions with high precision. Advanced image processing methods are integrated to improve the accuracy of the detection system, addressing the challenges posed by varying leaf textures, disease symptoms, and environmental factors. The proposed method is evaluated against existing techniques, demonstrating superior performance in terms of accuracy, robustness, and efficiency. This approach not only enhances the ability to diagnose tomato leaf diseases but also contributes to more effective crop management practices, ultimately supporting agricultural productivity and sustainability.

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Tomato leaf diseases, Convolutional Neural Networks, image analysis, deep learning, disease identification, agricultural technology.

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Abstract Child labour in domestic work represents a significant barrier to achieving the Sustainable Development Goals (SDGs), particularly those focused on poverty reduction (Goal 1) and promoting decent work (Goal 8). This paper analyzes the connection between poverty and child labour in domestic work, exploring its implications for sustainable development. Using a mixed-methods approach, the study integrates quantitative data from global organizations with qualitative insights from case studies in high-incidence regions. Findings reveal a strong correlation between low household income and child labour, with economically disadvantaged families often relying on their children's earnings for survival. The data indicates that children in domestic work face severe exploitation, including long hours and hazardous conditions, which impede their educational attainment and well-being. Approximately 60% of households earning less than 5000 per month reported child labour in domestic settings. The implications of these findings underscore the challenge of breaking the cycle of poverty that perpetuates child labour. Policy recommendations include enhancing social protection systems, improving educational access, and enforcing child labour laws more effectively. Addressing these issues is crucial for promoting equitable growth and achieving the SDGs. This research highlights the need for comprehensive strategies that integrate economic support with robust protections for children, aiming to eradicate child labour and foster sustainable development. Keywords: Child labour, domestic work, poverty, Sustainable Development Goals, social protection, education, policy intervention

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Keywords: Child labour, domestic work, poverty, Sustainable Development Goals, social protection, education, policy intervention

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This research paper aims to identify the key challenges faced by rural women in securing and maintaining land rights and to explore the impact of insecure land rights on their livelihoods, economic empowerment, and overall well-being. The paper begins by providing an overview of the significance of women's land rights in rural areas, emphasizing the importance of land ownership for rural women's economic stability, social status, and agency. Through a comprehensive literature review and qualitative research methods, the study examines the multifaceted challenges that rural women encounter in their pursuit of land rights. These challenges include gender-based discrimination, limited awareness of legal provisions, cultural norms and biases, lack of access to resources and information, and weak implementation of existing laws and policies. Furthermore, the paper investigates the repercussions of insecure land rights on rural women's livelihoods, economic empowerment, and overall well-being. It explores the impact on their ability to access credit and financial services, engage in productive agricultural activities, make long-term investments, and exercise decision-making power within their households and communities. The study also examines the interplay between land rights and other dimensions of well-being, such as education, health, and social inclusion. Drawing from the findings, the paper highlights the need for targeted interventions and policy reforms to address the identified challenges and secure women's land rights in rural areas. It emphasizes the importance of raising awareness, strengthening legal frameworks, ensuring women's participation in decision-making processes, and providing support services and resources to enhance rural women's capacity to assert their land rights. In conclusion, this research paper sheds light on the challenges faced by rural women in securing and maintaining land rights and underscores the significance of addressing these challenges to promote gender equality, empower rural women, and foster sustainable development in rural communities.

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Women's Land Rights, Rural, Challenges, Insecure Land Rights, Livelihoods, Economic Empowerment

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Ice cream is a nutritious food because it contains ingredients responsible for supplying energy to the body. Soy has a high nutritional value and functional properties which make it to be an alternative ingredient to replace cow's milk. The purpose of this paper was to formulate an ice cream with soy milk and cow milk & banana powder ,is also used and submitted to a sensory evaluation. Three formulations of ice cream were prepared: one soy-based (containg soy milk 70% , cow milk 30%) and this is control sample, the other with soy-based probiotic ice cream (containg soy milk 70% , cow milk 30%) and last one is sugar free (containing 100 % cows milk only) & for the sugar replacement here we added dextrose,fructo-oligosaccharide & oligofructose) & for all the three types of ice creams here we used ripened banana powder as it is a good source of dietary fibre,which promotes the healthy digestion, supports weight management. All these ice creams were submitted to a sensory evaluation in order to evaluate the appearance, flavor and texture attributes, mouthfeel, sweetness and overall acceptance ,for this examination it was used the hedonic scale of five points. With regard to colour & appearance control ice cream obtained rating of 3.8 remaining between the terms "Good" & "Very good" , while the probiotic with sugar ice cream got 3.71 remaining between the terms "Good" & "Very good" and where as the probiotic sugar free ice cream obtained 4.0 remaining between the terms "Good" & "Very good". For the attribute flavour & taste control ice cream obtained rating of 4.1 remaining between the terms "Excellent" & "Very good" ,while the probiotic with sugar ice cream also got the result of 4.01 whose term is as same the control sample and where as the probiotic sugar free ice cream obtained 3.2 remaining between the terms "Good" & "Very good". For the attribute mouthfeel , control ice cream obtained rating of 4.16 which corresponds between the terms "Excellent" & "Very good" , while the probiotic with sugar ice cream got 3.6 remaining between the terms "Good" & "Very good" and where as the probiotic sugar free ice cream obtained 3.4 remaining between the terms "Good" & "Very good". For the attribute sweetness control ice cream obtained rating of 4.0 which corresponds to the terms between "Very good" & "Excellent" , while the probiotic with sugar ice cream got 3.93 remaining between the terms "Good" & "Very good" , where as the probiotic sugar free ice cream obtained 3.0 which corresponds to the "good". The sensory parameters evaluated showed that the control ice cream i,e soy-based dietary ice cream had a good acceptance compared to that of the probiotic with sugar soy based dietary ice cream & probiotic sugar free ice cream.

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Ice cream, soy milk, probiotic, sugar free sensory acceptance

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The purpose of this exploration paper is to examine the effect of AI on cybersecurity strategies by assaying told designs, current approaches, and over- and- coming conceivable issues, driving progressive viability and versatility against cyber troubles. Indian enterprises defy multitudinous hurdles when using AI- AI-grounded cybersecurity results. The fast proliferation of cyber pitfalls, similar to ransomware, phishing, and malware attacks, has made cyber security a crucial issue in India, which ranks 11th encyclopedically in terms of original cyberattacks. still, a lack of specialized capability, moxie, and collaboration among other countries' authorities is a significant hedge to effectively suppressing these pitfalls. likewise, resolvable AI(XAI) is critical in cybersecurity since standard AI models constantly warrant translucency in decision-making processes, making it delicate to trace the logic behind specific acts. likewise, carrying a sufficient library of approved images for training AI models to sludge unequivocal content online highlights the difficulties in using AI interfaces for cybersecurity purposes. Addressing these challenges through enhanced specialized capabilities, skill development, and XAI perpetration is essential for Indian associations to bolster their cybersecurity defenses effectively.

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Artificial Intelligence, Threat Detection, Cybersecurity, Machine Learning, Automated Systems

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lks'ky usVofdaZx lkbV] nqf"pUrkA

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