Volume 12 | Issue 12

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Climate change, Greenhouse gas, Governmental policy, Adverse effects, Climate litigation.

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To create a weightless dress for the brides. Analyzing the client requirements. The bride should be able to move freely and feel comfortable. Highlights the bride's silhouette. Reflects contemporary trends in bridal fashion that prioritize comfort. It makes it easier for the bride to manage the dress during the ceremony. Highlights the bride's silhouette. Reflects contemporary trends in bridal fashion that prioritize comfort. It makes it easier for the bride to manage the dress during the ceremony. Enhance the client experience. Offer a smooth and efficient purchasing process, both in-store and online. Use premium fabrics and construction techniques to ensure the dress's weightlessness and durability. Traditional wedding dresses often present challenges for brides, including discomfort, restricted movement, and overall heaviness. These factors can negatively impact a bride's experience on her special day. To address these issues, this research focuses on designing and developing a novel wedding dress that prioritizes comfort, freedom of movement, and a sense of weightlessness. The objective of this research is to design and develop a novel wedding dress that provides brides with a sense of weightlessness, enhancing their comfort and overall bridal experience. A thorough understanding of bridal needs and preferences was gained through user interviews and surveys. This information was used to develop design criteria for the weightless dress. Various fabric combinations, construction techniques, and structural elements were explored through prototyping and testing. Advanced textile technologies were employed to enhance the fabric's weightlessness and durability. Specialized sewing and assembly techniques were developed to minimize seams and bulk, contributing to the overall sense of weightlessness. Structural elements like internal support systems were incorporated to maintain the dress's shape without adding significant weight.

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fit, comfort, silhouette, lightweight, trend

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This paper explores the impact of DevOps practices on the Software Development Lifecycle (SDLC). DevOps aims to bridge the gap between development and operations teams to deliver software faster, more reliably, and with higher quality. The study examines key practices such as continuous integration (CI), continuous delivery (CD), Infrastructure as Code (IaC), and automated testing, along with their benefits and challenges in real-world implementations. The paper also evaluates the performance metrics used to measure the success of DevOps practices. The findings suggest that while DevOps leads to significant improvements in speed, quality, and collaboration, its adoption is hindered by cultural resistance, integration challenges, and skill gaps. Future work should focus on overcoming these barriers and further investigating the long-term impact of DevOps in various organizational contexts.

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DevOps, Software Development Lifecycle (SDLC), Continuous Integration (CI), Continuous Delivery (CD), Automated Testing.

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Diabetic foot ulcers are a significant complication of diabetes, necessitating effective treatment options. This study aimed to develop and optimize Glucophage-loaded liposomes for diabetic wound healing. A 32 full factorial design was employed to investigate the effects of cholesterol and phospholipon 90H on the responses, including percent yield, particle size, and polydispersity index (PDI). The optimized formulation was obtained using Design-Expert software, and the liposomes were characterized for their shape, surface morphology, entrapment efficiency, and in vitro drug release. The results showed that the optimized liposomes had a spherical shape, uniform size distribution, and high entrapment efficiency. The in vitro drug release study revealed a diffusion-controlled mechanism, with 90.53% of the drug released within 12 hours. The optimized Glucophage-loaded liposomes have the potential to provide a novel treatment option for diabetic wound healing.

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DEVELOPMENT AND OPTIMIZATION OF GLUCOPHAGE LOADED LIPOSOMES BY DOE METHOD

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In education, the importance of gathering and understanding student feedback cannot be over stated. Traditional methods of gathering feedback through surveys and assessments often suffer from limitations such as low response rates and subjectivity. This paper proposes a new approach to improve the feedback collection process by implementing a Student Feedback Mining System sing sentiment analysis. The goal of t is system is to automatically analyze and extract sentiment from student feedback and provide educators and institutes with valuable insights into students' overall satisfaction and feelings toward various aspects of their academic experience. The system uses natural language processing (NLP) techniques to process unstructured text data, identify sentiments, and categorize feedback into positive, negative, or neutral feelings. Gathering student opinions using a variety of platforms, including discussion forums, online surveys, and other feedback systems. The gathered text data should be cleaned and preprocessed to eliminate noise and unnecessary information and standardize the format for analysis. Sentiment analysis methods and cutting-edge NLP algorithms are used to ascertain the emotional tone of feedback. This involves categorizing sentiment as neutral, negative, or positive. To give a thorough grasp of the different factors influencing student satisfaction, fees are grouped according to certain characteristics including course content, teaching strategies, facilities, and overall learning experience. Making it simple for administrators and teachers to understand and react to feedback by presenting studied data in reports and visuals that are easy to understand. Delivering feedback that makes it possible for ongoing development by offering actionable ideas to help teachers enhance their lesson plans, curricula, and overall learning environment. By automating the analysis process, offering real-time insights, and facilitating a data-driven approach to education improvement, the suggested solution seeks to overcome the limitations of traditional feedback collection approaches. By employing sentiment analysis, educational institutions and teachers can proactively address issues, enhance the standard of instruction, and establish a more upbeat and stimulating learning environment.

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sentiment analysis, text processing, clustering, student feedback, and e-extraction.

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millet, porridge powder, proximate analysis, shelf life, serial dilution

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The medicinal properties of Mimosa pudica, a widely used plant in traditional medicine, were investigated through phytochemical screening, antioxidant, and antidiabetic assays. Antioxidant potential was evaluated using ABTS and hydrogen peroxide (H?O?) scavenging assays. The methanol extract exhibited potent radical-scavenging activity with a low IC?? value, suggesting its capacity to neutralize reactive oxygen species (ROS), which are implicated in oxidative stress and related diseases such as cancer, cardiovascular diseases, and diabetes. Furthermore, the in vitro antidiabetic activity of Mimosa pudica was assessed by measuring the inhibition of ?-amylase and ?-glucosidase enzymes. The methanol extract showed strong inhibition of both enzymes, indicating its potential in managing postprandial blood glucose levels, a key factor in diabetes management. The findings highlight Mimosa pudica as a promising natural source of antioxidants and antidiabetic agents. Its rich phytochemical profile, particularly the high flavonoid and phenol content, underpins its therapeutic potential. Statistical analysis confirmed that methanol extracts were more bioactive compared to hexane extracts. This study supports the use of Mimosa pudica in the development of natural formulations for the prevention and treatment of oxidative stress-related diseases and diabetes. Further research is needed to isolate and characterize the active compounds responsible for these bioactivities and to explore their mechanisms of action.

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Bioactive compounds, ?-Amylase inhibition assay, Phenolic compounds, Antidiabetic activity.

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BACKGROUND : Head and neck cancer (HNC) encompasses a diverse group of malignancies affecting the oral cavity, pharynx, larynx, and other anatomical regions within the head and neck. Head and neck cancer (HNC) typically refers to malignant tumours arising from mucosal lining of upper aerodigestive tract, and encompasses primary sites within oral cavity, larynx and pharynx AIM & OBJECTIVE :The aim of this study was to compare the deep neck flexor endurance in patients with head and neck cancer versus normal individuals. The objective was to find out the difference in deep neck flexor endurance among head and neck cancer patients versus normal individuals. Methods: The observational study was conducted at a tertiary care hospital . The study population included patients with head and neck cancer and normal individuals. Group A consisted of head and neck cancer patients, while Group B comprised normal individuals. The study spanned a duration of three months, utilizing purposive sampling to select a sample size of 64 patients, with 32 in each group. The primary outcome measure was the deep neck flexor endurance test. Results : Data was analysed by using instat version 3.0 . Between group analysis was done for deep neck flexor endurance ( u value = 1024 , p value = <0.0001 ) using non parametric test .The result of the study showed that extremely significant difference was found which reflects normal individuals having more endurance than patients with HNC Conclusion : It is concluded that Head and Neck Cancer patients had reduced Deep Neck Flexor endurance as compared to normal individuals. Keywords: Head and neck cancer , deep neck flexors , Craniocervical flexor endurance training.

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Head and neck cancer , deep neck flexors , Craniocervical flexor endurance training

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A nursery is an agriculture where plants are propagated, nurtured, grown, and sold out to the home garden or commercial purpose. Two important factors determined the nursery design was nursery physical environmental factors and the technical factors of seedling production. In this project we mainly study two important factors determined by the nursery design, one is nursery physical environmental factors, and another one is technical factors of seedling production, so the purpose of this project is to systematically review the applications and methodology of statistics to calculate the estimation of cost production by using statistics methods. Variance cost method is used for gathering data, least square method is used to calculate the cost estimation.

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least squares method, maxima and minima , Variance Cost

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The rapid growth of artificial intelligence has made it easier to create convincing fake media, posing serious risks in areas like politics, entertainment, and social media. As fake content becomes more widespread, effective detection methods are crucial. Current approaches struggle to keep up with evolving deepfake technologies, creating a need for reliable solutions. This paper proposes using convolutional neural networks to analyze facial features and motion inconsistencies in videos, aiming to improve detection accuracy. Additionally, audio analysis will be integrated to detect mismatches between sound and visuals, enhancing the model's effectiveness. The research emphasizes the importance of simple and effective methods to address the challenges of fake media.

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Deepfake Detection, Machine Learning, CNN, RNN, GAN

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 Abstract

RASHTRIYATA KE MUKHYA NIRMANAK TATWA

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RASHTRIYATA KE MUKHYA NIRMANAK TATWA

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Electric Vehicles are gaining momentum due to several factors, including the price reduction as well as the climate and environmental awareness. This paper reviews the advances of Electric Vehicles regarding battery technology trends, charging methods, as well as new research challenges and open opportunities. More specifically, an analysis of the worldwide market situation of electric vehicles and their future prospects is carried out. This paper find out the awareness level problems faced and factors influencing to buy an Electric Vehicle.

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Electric Vehicles, Customers, Awareness and Problems.

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The Alkali-Silica Reaction (ASR) is a critical durability issue in Ultra-High-Performance Concrete (UHPC), potentially compromising its exceptional mechanical properties and long-term performance. UHPC has emerged as a strong competitor to Normal Strength Concrete (NSC) in several building industries. This research examines the effects of ASR on UHPC, and its fiber-reinforced versions (UHPFRC) compared with NSC. Mechanical properties, including compressive, flexural, and split tensile strength, were assessed over varying curing periods (7, 14, 28, 56, 90, and 180 days) to analyze the influence of ASR. The study highlights the role of fiber reinforcement and optimized mix designs in enhancing resistance to ASR-induced damage. Mixtures of recycled steel fibers, raw slag (RS), and untreated coal ash (CA) were developed for use in sustainable UHPCs. Accelerated ASR conditions (per ASTM C1260) and conventional water curing were both applied to the specimens during the curing process. In addition, they compare the mechanical strength of UHPFRC and NSC over curing periods of 28, 56, and 90 days, focusing on the effects of ASR and water curing. The results demonstrated that the incorporation of fibers, particularly steel fibers, significantly enhanced the mechanical properties of UHPC, including higher CS and FS, while reducing the risk of crack propagation and improving overall durability. The comparison with NSC further underscored the advantages of UHPC and UHPFRC, which consistently outperformed NSC across all strength categories, with CS reaching up to 161MPa at 90 days compared to the maximum 37.8MPa for NSC.

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Alkali-Silica Reaction (ASR), Ultra-High-Performance Concrete (UHPC), Fiber-reinforced, Mechanical Properties.

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 Abstract

Viksit Bharat Ke Rah Me Cheen Ki Chunati

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Viksit Bharat Ke Rah Me Cheen Ki Chunati

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Rasashastra is a special branch of Ayurveda which deals with processing of mercury and making it therapeutically absorbable in the body. The act of imbibing definite therapeutic properties in purified mercury through various pharmaceutical procedures is known as Murcchana. Arogya Vardhini Gutika Rasa is a Khalviya Rasayana Yoga explained in the Rasaratna Samucchaya, Kushta Rogadhikara. Pottali Kalpana is a consolidated form of mercurial preparation which incorporates the Pota Bandha of Parada. Pottali is also type of Parada Murcchana where processing of mineral and herbal drugs is done using Gandhaka Drava Paka. Hence an attempt is being made to do pharmaceutical study of Arogya Vardhini Gutika Rasa and modify it into Pottali and conduct its analytical study. The ratio of the ingredients and Bhavana Dravya were according to classical reference and out of 18g of Kalka, we obtained 8g of Pottali. Gandhaka or sulphur helps in forming a hard compact mass of the medicine which is more stable and difficult to break, thus preventing loss/leakage of medicine and its efficacy. There was considerable decrease in loss on drying from Gutika to Pottali which denoted that Pottali may have more shelf-life. Pottali may be having faster action as the Sukshma Churna obtained by rubbing Pottali has faster absorption compared to Gutika. Hardness of the Pottali is more compared to the Gutika which suggest that Pottali is more stable compared to Gutika. As Arogya Vardhini Rasa is prescribed as Rasayana for longer duration, Pottali form can be a better dosage form compared to Gutika/Vati.

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Arogya Vardhini, Pottali, Gutika Rasa, Gandhaka Paka, hardness, micronutrients deficiency

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This study aimed to develop and evaluate the ( natural) herbal cosmetic producte like- cold creams by using plant extracts containing aloe-vera and other extracts the cold cream was prepared by using water-in-oil method. The creams showed good consistency, spreading ability, pH, and no significant changes in physical properties. the emulsion slow evaporation of water was found to be cooling and sooting. The cold creams were also found to be physico-chemically, mechanically, and microbiologically stable, with characteristics of a standard cosmeceutical formulation for skincare. The study concluded that these cold creams were a good attempt to incorporate naturally available ingredients like almond and were safe for public and societal use. Pharmaceutical cold creams are used for various functions, such as hydrating, makeup remover, beauty enhancer and also help in improvement appearance.

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A REVIEW ON PHARMACEUTICAL PREPARATION 0F COLD CREAM

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Ensuring safety in commercial, industrial, and residential settings requires efficient gas leak detection. With the help of the MQ-2 gas sensor and the ESP32 microcontroller, this study presents a novel Internet of Things-based gas monitoring system that provides real-time detection and alerting. When gas levels above specified safety limits, the system initiates multi-layered alerts via visible indications (LEDs), aural warnings (buzzers), and remote notifications using Twilio's SMS and phone services. Accessible through an intuitive website, gas measurements and history data are safely kept in a Firebase database. This interface offers historical trends, real-time PPM readings, and a sophisticated analytics dashboard with machine learning (ML) models for proactive safety monitoring. AI/ML integration improves the system's capabilities by anticipating dangerous situations based on past data, allowing proactive action.

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IOT BASED GAS LEAKAGE DETECTION SYSTEM

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Active Trigger Points on Upper Trapezius, Therapeutic Ultrasound, Soft Tissue Mobilization, Static Stretching.

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The present study investigates the relationship between emotional regulation strategies and life satisfaction among homemakers from lower socioeconomic backgrounds. The primary aim is to examine the effects of two key emotional regulation strategies, such as emotional suppression and cognitive reappraisal, on life satisfaction. A quantitative research design was employed, utilizing a sample of 200 homemakers selected through random sampling to ensure the representation of individuals from lower socioeconomic backgrounds. Participants completed the Emotion Regulation Questionnaire (ERQ) and the Satisfaction with Life Scale (SWLS). Descriptive statistics, including mean and standard deviation, were calculated for emotional suppression, cognitive reappraisal, and life satisfaction scores. Pearson's correlation coefficient was used to assess the relationship between these variables. The results revealed a significant positive correlation between emotional regulation strategies and life satisfaction (r = 0.21) and statistically significant (p = 0.001967, ? = 0.05), suggesting that effective emotional regulation may enhance life satisfaction among homemakers in lower socioeconomic settings. Future research could investigate how various factors influence the connection between emotional regulation and life satisfaction. Additionally, intervention studies aimed at strengthening cognitive reappraisal skills could be designed and evaluated, as such programs may enhance emotional well-being and overall life satisfaction within this target group.

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Emotions, Emotional Regulation, Life Satisfaction, Cognitive Reappraisal, Emotional Suppression, Homemakers, Lower socioeconomic status.

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This study examines on Junagadh's women investment habits. The study examine women's awareness of and preferences for investing as well as the impact of various demographic elements such as age, marital status, income, employment type, and other people's perceptions of one's investment style. It also shows the respondents' return and percentage of total income invested. It may be inferred from the study that respondents do not like to put a sizable portion of their assets in a single investment and that they would rather invest in safe options such as gold, provident funds, bank and post office deposits, and so on. Additionally, it has been discovered that the demographic variables taken into account include have little bearing on the investment habits of women. Consequently, it may be concluded that women make independent, logical investing decisions.

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Option for Investment, Return, Savings, and Investment

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