Volume 12 | Issue 7 |

 Abstract

Cleanness in the food label has attracted consumer interest and has quickly transformed into the Clean Label Movement that impacts the production of food items. The major consumer trends explored include emerging demand for natural and minimally processed foods as consumers look for more transparency for simplicity and sustainability. It also outlines the development of the Clean Label Movement and how it has set the tone for consumers' demands and reshaped the menu in the food and drinks sector. Regarding the topics, it analyzes the problems brands encounter when searching for ways to reformulate products according to clean-label demands and how brands can capitalize on if they support the values consumers believe in, such as health, sustainability, and authenticity. This paper explores features of the Clean Label Movement's future, including technology, personalization, and sustainability. Because of increasing consumer knowledge, clean-label principles are expected to move beyond the food industry, offering fresh chances in other spots. Therefore, the article is useful in understanding the Shifts in the Clean Label Movement and how they will impact future decisions on products and consumers.

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 Keywords

Clean Label Movement, consumer expectations, product development, transparency, sustainability, natural ingredients, food industry, ethical sourcing, innovation, personalized nutrition, functional foods.

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The current Convergent parallel mixed method study is a result of a pilot study conducted on 5 subjects by using in-depth interviews for qualitative data to explore lived experiences and 25 subjects for quantitative data to assess the health consequences of female sex workers registered with selected NGOs. A purposive sampling technique was used to allocate the samples and data were collected with the help of a quantitative Interview Schedule. The findings of the study revealed that according to General Health Assessment, most of the women are anaemic and also have systemic health-related issues like hypertension, diabetes, skin infections, and urinary tract infections, and for Mental Health Assessment - DASS-42 depict that 95.3% of respondents (261 individuals) are in the severe stress category (scores 85-126), 4.7% (13 individuals) are moderate (43-84), and no one is in the mild category (0-42). For Qualitative data collection, a Semi-structured Interview guide (Audio-tape recorder) was used to determine factors that forced or influenced them to enter into sex work. After the guided interview, the researcher found the facts that low income, Influence of peers or social networks, Human trafficking or exploitation, Desire for financial independence, History of trauma, abuse, or exploitation, Mental health issues (e.g., depression, anxiety), Substance abuse or addiction, Family or relationship problems.

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lived experiences, health consequences, female sex workers, NGOs

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Creative Commons Attribution 4.0 and The Open Definition

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B2B customer support is on the horns of choosing how to deliver right and speedy answers to complicated questions. In this knowledge creation paper, the author presents a new Generative AI framework that enables the creation and constant update of knowledge bases using information from product documentation, CRM data, and customer feedback. The model saves considerable amounts of response time and support accuracy since the creation and the maintenance of the knowledge resources are automated. This in turns delivers real-time contextual insights to support the teams. Reduced ticket resolution time by 30% and uplifted customer satisfaction score by 20% in a pilot phase with a SaaS firm. Due to these results, it can be stated that the implementation of AI solutions in B2B customer support can significantly contribute to the development of mechanisms for further expansion, thereby meeting the requirements of evolving B2B business environments. The study stresses the importance of the adoption of Generative AI as an enhancement tool for the customer support subsystem.

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 Keywords

Generative AI, Customer Support, Knowledge Base, CRM Integration, AI Framework, Customer Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

HISTOPATHOLOGICAL LESIONS OF PROSTATE

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