Volume 12 | Issue 7

 Abstract

This study demonstrates the potential of deep learning models to significantly enhance the prediction of plant growth and yield in greenhouse environments. By integrating image analysis and environmental sensor data, our approach provides accurate, timely predictions that can optimize greenhouse operations. The success in predicting key growth metrics and yield outcomes underscores the utility of deep learning in precision agriculture. This predictive capability supports more informed decisions in irrigation, nutrient management, and pest control, contributing to increased efficiency and sustainability. Future research will aim to broaden the dataset, refine model accuracy, and explore application across diverse crop types and growing conditions. The promising results affirm the transformative impact of deep learning in modern agriculture

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Plant growth prediction, CNN, Deep CNN, Data Set, Environmental sensor data, Agricultural productivity, Deployment.

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Abstract:-Aim of the study to assess the prevalence of low birth weight babies and risk factors among postnatal mothers in selected hospital of Patiala (Punjab). An Exploratory research design,the study conduct on 100 Postnatal mothers of LBW babies in Rajindra Hospital Patiala.The inclusion criteria by using convenient sampling techniques under non probability sampling. The results showed that the 80 (80%) were moderate low birth weight , 17 (17%) were very low birth weight , and 2 (2%) were extreme low birth weight. The chi - square value were less than table value at the 0.05 So, the hypothesis H2 was rejected.

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Prevalence, low birth weight, risk factors, postnatal mother

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Expanding educational opportunities is a global priority, underscored by the United Nations' Education for All (EFA) initiative, a crucial component of the Millennium Development Goals. Recognized globally as a means to achieve fairness, justice, and high-quality education for all children, inclusive education seeks to ensure that historically marginalized groups, whether due to disability, ethnicity, gender, or other factors, have equal access to mainstream educational opportunities. While many countries have made significant strides in implementing inclusive education, others are still working towards this objective. The evolving role of teachers and the importance of their preparedness are pivotal in this context. Over the past few decades, significant changes in educational sectors, including curricular reforms and legislative shifts, have impacted the definition and approach to learning challenges, shifting the focus from diagnosing deficits to identifying support needs. This paper emphasizes the critical role of teacher training and professional development in fostering inclusive classrooms. By exploring various components of teacher preparedness and the impact of educational programs, this study underscores the necessity of equipping educators with the knowledge and skills to support diverse learners effectively. Additionally, the paper highlights the recommendations of the National Education Policy (NEP) 2020 in India and the provisions of the Rights of Persons with Disabilities (RPWD) Act 2016, emphasizing their role in promoting inclusive education. A global perspective is also presented, with a focus on the Salamanca Statement and its impact on inclusive education policies worldwide.

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Teacher Preparedness, Inclusive Education, Teacher Attitude, National Education Policy-2020, Rights of Persons with Disabilities (RPWD) Act, 2016

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In the contemporary world, the major threat posed to sustainable living is pollution. This research work aims to combat ways to remediate water pollution using Calcium Oxide- activated carbon nanocomposite. The nanocomposite used in this study was derived from Chicken eggshell waste as it is a rich source of Calcium. Calcium oxide nanoparticles were synthesized for enhanced performance due to its higher surface area to its volume ratio; it imparts size-dependent properties like higher adsorption tendency. CaO nanoparticles have proven to eradicate harmful metals in polluted water but on the other hand, CaO along with activated carbon is found to be more effective in treating bio pollutants in contaminated water. Hence, in the present study, Calcium oxide was combined with commercially procured activated carbon, and this nanocomposite was used as a potent adsorbent in the bioremediation of Tetracycline hydroxide in polluted water. The nanoparticles were characterized by XRD, FTIR, DLS, HR-SEM AND EDAX. Then the water sample synthesized with the bio pollutant Tetracycline hydroxide was tested for bioremediation efficiency using Calcium oxide - Activated carbon nanocomposite. The degradation of Tetracycline Hydroxide (TCH) was calibrated using a UV spectrophotometer and the degradation percentage was calculated. The UV spectrophotometer results validated that there is 83.12% degradation in the harmful pollutan from the water sample for a period of 5 hours of treatment. This research is an eyeopener as no other experimental work has been done on bioremediation of harmful bio pollutant Tetracycline hydroxide using Calcium oxide-Activated carbon nanocomposite synthesized from chicken egg shell waste using green synthesis.

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Chicken Eggshell, Nanocomposite, Bioremediation, Green Synthesis, Tetracycline Hydroxide

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The entire universe is a fascinating creation by the Brahmā through a proper route but what is not possible to create by the Brahmā is possible by the poet. A poet creates a flower in the sky through imagination to represent poetry's delightfulness, which is a necessity of poetry. Everyone is searching for happiness and poetry is a way of happiness but how it is applied in poetry is an amazing factor. Words, meaning and their combination are called poetry when they reflect delightfulness. From the word to meaning there has a way is vṛtti where the third one is Vyañjanā which is a source of charming meaning. Through this charming meaning, a virtuous reader can feel instant cheerfulness from the poetry. So, how poetry would be considered a source of happiness and how happiness comes from fascinating meanings through the Vyañjanā will be discussed in this paper. To build this hypothesis analytical methods are followed by the researcher and it depends on primary and secondary data sources of Sanskrit poetic literature.

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Fascination, Words, Meanings, Vyañjanā, Happiness, Dvani, Sanskrit Poetics.

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This research paper focuses mainly on the analysis, development and investigation of numerical methods for solving the further generalized time- fractional diffusion equation, a mathematical model with diverse applications in the fields of physics and engineering. A hybrid method combining finite difference and spectral techniques for representing the spatial and temporal domains, addressing the challenges presented by fractional -order derivatives and nonlinearity is suggested. Analysis of convergence, stability, and asymptotic behavior of the proposed numerical approach is the main target. By the first theorem, the convergence order of the proposed numerical method which shows that the numerical solution converges to the exact solution with a specified order as the spatial and temporal discretization parameters approach zero is established. The stability , boundedness, and error analysis of the method, providing insights into the method's behavior across a range of parameters is directed by the second theorem. The third theorem analyses the asymptotic convergence, stability in time, and uniform convergence in time, shedding light on the long-term behaviour and accuracy of the numerical solution. This exploration of asymptotic convergence, stability in time and uniform convergence in time has further strengthened the credibility of the proposed numerical approach. The proposed numerical method provides stability and converges accurately to the exact solution, providing a robust framework for solving further generalized time- fractional diffusion equations. The finding results supply to the knowledge and development of effective computational methods for a broach class of fractional partial differential equations which will cover the way for applications in different scientific fields. Thus this my critical analysis work gives foundation for advancing the understanding and application of numerical techniques in the context of time- fractional diffusion equations

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Asymptotic behavior, stability, time- fractional diffusion, Fractional Hybrid numerical methods, finite difference, error analysis, robust framework, convergence analysis, spectral methods, computational efficiency, fractional calculus, further generalized models, boundedness

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Cotton is one of the major crop in India which plays a dominent role in both industrial and agricultural sector of the country. It provides direct livelihood to 6 million farmers in the economy and about 40 to 50 million people are directly employed in cotton production and trading.The Central zone of the country which includes the states such as Gujarat, Maharashtra and Madhya Pradesh was the biggest producer of cotton in India and the Southern Zone which includes the states like Telangana, Andhra Pradesh, Karnataka and Tamilnadu is the second largest producer of Cotton in India. According to the records all Indian cottons in the 13th century were perennials and they are cultivated recently. The bushy perennial forms are grown in remote villages of Rajasthan, Uttar Pradesh and Andhra Pradesh. The Rozi cotton belonging to G.arborrem was supposed to the ancient commercial type. Further the perennial Nadan cotton of the southern most part of Tamilnadu is in all probability, the progenitor of Karunganni variety. On this background the study focus on the cotton cultivation and yield in Tamilnadu. it is concluded that the cultivation of cotton and production of cotton has a negative growth rate. The coefficient of variation of the area was low compared to the production of cotton in Tamilnadu. .

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Keywords: Area, Commercial crop, Cotton, Area, Production, Yield, Tamilnadu

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Dilawar Girijana Kathalu : vasthu vishleshana

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Dilawar Girijana Kathalu : vasthu vishleshana

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Rice, a staple food for billions, is vulnerable to various leaf diseases that significantly impact crop yield and quality. Timely and accurate detection of these diseases is crucial for effective management and control. This study presents a novel system for detecting rice leaf diseases using advanced image processing techniques and Convolutional Neural Networks (CNN). The proposed system involves capturing high-resolution images of rice leaves, followed by preprocessing to enhance image quality and feature extraction. The CNN model, trained on a comprehensive dataset, classifies the images into different disease categories, including bacterial blight, brown spot, and blast. The system demonstrates high accuracy, robustness, and efficiency in identifying multiple diseases from visual symptoms, making it a valuable tool for farmers and agricultural experts. This approach not only helps in early detection but also assists in implementing timely interventions, thereby reducing crop loss and improving yield.

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Rice Leaf Diseases, Image Processing, Convolutional Neural Networks, CNN, Agricultural Technology, Disease Detection, Crop Management, Machine Learning.

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Self-Helping Groups play a vital role in the upliftment of the rural population and plays a prominent role in poverty alleviation. Especially in Kerala, the Kudumbashree scheme introduced by the Kerala government with the slogan "Reaching out to families through women and reaching out to the community through families" is playing a dynamic role in the upliftment of socially and economically backward communities. In this quantitative study, we evaluate the performance of the self-help groups in the Kottayam district by collecting the required data from 50 active beneficiaries of the 10 Kudumbashree units using a self-made questionnaire. The study corroborates that the Kudumbashree mission is one of the most effective schemes for the upliftment of rural masses especially women micro-entrepreneurs.

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Kudumbashree, SHG, Performance Evaluation

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Agriculture has been one of the most important area in the development of India's Economy and the health of people. Nevertheless, from the last few decades, like every sector it has also been impacted by the ongoing issue of water pollution. The treated or untreated wastewater discharged from municipalities and industrial areas has been thrown into the water bodies which then used by the farmers in the country. The farmers use the wastewater for several reasons, sometimes due to the unavailability of water in nearby areas and other times due to the desire for higher production of crops. This shift in the agricultural sector has some positive implications but at the same time has adverse implications on the health of humans and plants.

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Wastewater, Impacts, Agriculture, India.

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This research paper aims to investigate the approaches and effectiveness of integrating financial literacy education into school curricula across different countries. The study will analyse the existing financial literacy programs embedded in school syllabi, exploring the curriculum structures, teaching methods, and the impact on students' financial knowledge and behaviour. By comparing global practices, the research aims to identify successful models and potential challenges in incorporating financial literacy education at the school level. The findings will contribute to the ongoing discussion on enhancing financial literacy among students and shaping future policies in education. In addition to analysing the existing financial literacy programs, this research will delve into the underlying principles guiding these programs and their alignment with broader educational objectives. It will explore the pedagogical strategies employed, such as experiential learning, interactive workshops, or multimedia resources, to engage students effectively and foster a deeper understanding of financial concepts. Furthermore, the study will investigate the role of teachers and educators in delivering financial education, examining their training, expertise, and resources available to support effective instruction. It will also consider the involvement of external stakeholders, such as financial institutions, government agencies, or non-profit organizations, in supplementing classroom learning and providing real-world applications of financial knowledge. Moreover, the research will assess the impact of financial literacy education on students' attitudes, behaviours, and long-term financial outcomes. This includes evaluating changes in savings habits, investment decisions, debt management skills, and overall financial well-being. By conducting a comparative analysis across diverse cultural, economic, and educational contexts, the study aims to uncover insights into the contextual factors influencing the effectiveness of financial education initiatives.

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: Financial Literacy, Curriculum Structures, syllabi, financial institutions

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his study examines the influence of public opinion on criminal law enforcement in Indonesia, with a focus on the significant case of Vina Dewi Arsita and her boyfriend Muhammad Rizky Rudiana, who were found dead under mysterious circumstances in 2016. Public opinion, manifested through social media discussions, mass media coverage, and demonstrations, plays a crucial role in law enforcement by either supporting or pressuring legal authorities. The concept of deponering, where a criminal case is set aside for public interest, illustrates how societal pressure can lead to the termination of investigations. The resurgence of the Vina murder case, due to public demand and the film "Vina: Sebelum 7 Hari," highlights Society 5.0's role in leveraging technology for social movements, termed as Soft People Power. This paper aims to identify forms of public opinion, analyze influencing factors, and study the impact of public opinion on law enforcement, particularly through criminological and sociological lenses such as Strain and Conflict theories. By understanding these dynamics, this research seeks to propose strategies to maximize positive impacts and minimize negative consequences of public opinion on law enforcement.

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Public Opinion, Law, Criminal, Law Theory, People Power

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Abstract Very few authors in the history of literature have been able to pen novels that encompass the most significant stages of an individual's life. Naguib Mahfouz is one of them. His exemplary mastery in describing life and providing insights into its intricacies that a person has to go through in different phases of their lifetime can be termed as a commentary on existence. In The Coffeehouse (Qushtumur in the Arabic version) he brings to the fore the themes that govern every individual's life - from childhood to old age. The numerous relations and relationships that a human forges with others forms the cog of the novel and in it are embedded the themes of the novel. The saga of five friends and their life episodes are narrated in a manner that is not only vivid but also epitomizes the themes that are explored - friendship, love, marriage, morality and change. Mahfouz creates situations in the novel and then helps the characters to effortlessly wade through them, either with success or failure, and turns those happenings into the essence of the novel. By comprising themes without which life cannot be termed complete, Mahfouz has provided ample scope to explore and investigate the bonds that spur people into action with great passion and zest which take the form of themes that demand an examination.

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Friendship, Love, Marriage, Morality, Change.

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Present study was carried out during two seasons of 2022-2023 at Tamilnadu Agricultural University, Coimbatore, Tamilnadu to to study the effect of foliar application of organic nutrient on yield and quality of cluster bean [Cyamopsis tetragonoloba (L.) Taub.] cv. MDU-1. Experiment was conducted in a randomized block design (RBD) comprised of 3 different foliar applications of temor karaisal, viz. Temor kraisal @ 3%; temor karaisal, @5%; temor karaisal, @7%; and 3 foliar applications of panchakaya, viz. panchakaya @ 3%; panchakaya @5 %; and panchakaya @7% and 3 foliar applications of vermiwash; vermiwash @3%; vermiwash @5%; vermiwash @7 % and control replicated thrice. The results revealed that the application of a consortium of organic foliar spray significantly to enhanced the quality and yield attributes of cluster beans when compared to the control. The yield parameters viz, single pod weight (2.86 g), pod yield plant-1 (132.16 g), estimated pod yield-1 (9.81 t ha-1) and quality parameters viz, parameter pod crude protein content (187.6%) and fibre (42.71%) were recorded with the application of temor karaisal @ 7% followed by the treatment with the application of temore @5%. Based on the growth, yield, post-harvest soil nutrient status, nutrient uptake, and cost economics, the combined use of temore at 7% can be considered the best treatment of organic amendment and mulching practice for higher yield and quality of cluster bean.

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Clusterbean,Organic Foliar Sprays,Temore Karaisal,Protein and Fibre Content

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Arsenic is found naturally and exists in both organic and inorganic form in the environment. The toxicity of arsenic in soil and ground water is one of the most important environmental problems particularly in Murshidabad district of West Bengal. It affects the leguminous crops like lentil and pigeon pea which is widely grown in these arsenic affected regions of Murshidabad district. Indo-Gangetic regions is one of the most arsenic contaminated points in the world. Long term irrigation of agricultural soils with arsenic contaminated water can lead phytoaccumulation and food chain contamination of the food crops specially leguminous plants.

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Arsenic toxicity, pigeon pea, Murshidabad

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The oral route is the most popular and ideal method of administering medication. The purpose of novel oral drug delivery systems is to improve patient compliance and medication safety and efficacy by developing a convenient dose form that is easy to administer. One of these systems is Melt in Mouth Pellets (MMP). Because superdisintegrants are included in the formulation, the idea behind MMP is to disperse the pellets in the mouth in the presence of saliva in a matter of seconds, without the need for water, and without causing swallowing difficulties.Melt in Mouth Pellets prepare by using fexofenadine hydrochloride, MCC PH 101, Sucralose, Mannitol, crosspovidone use as a superdisintegrant and Eudragit E 100 used as a taste masking agent. The all purpose equipment (Pelletizer Assembly) used to prepare Melt in Mouth Pellets.The formulation was optimized based on Design expert software and Central Composite Design was used for study. Drug and polymers were studied for compatibility and interaction study, carried out by FTIR and DSC and found to be compatible to each other. The % Drug Content, Friability, Disintegration time, dissolution study of formulated batches was evaluated.. From the result, FFH 8 batch was observed optimized formulation because up to 10 min 97.89% drug was released and disintegrate within 15 Sec.

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Melt in Mouth Pellets , Orally Disintegrating , Superdisintegrant

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This think about examines buyer buying behaviour towards online shopping, pointing to get it the variables affecting consumers` choices within the online retail environment. The inquire about utilizes a mixed-methods approach, combining quantitative overviews and subjective interviews to assemble comprehensive bits of knowledge into consumers' states of mind, inclinations, inspirations, and challenges related to online shopping. Measurable investigation methods, counting expressive measurements and relapse examination, are utilized to analyse overview information and recognize noteworthy connections and indicators of consumer behaviour. The think about points to contribute to the existing writing on buyer behaviour and online shopping by revealing the fundamental drivers and obstructions affecting consumers' appropriation and utilization of online shopping stages

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Online shopping, Consumer behavior, Attitude, Buying behavior

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Dentifrices are important in our daily life to maintain good oral health and hygiene. Gingivitis, plaque, periodontal diseases are the crucial problems related to tooth. These major issues are due to poor oral hygiene and negligence in good caring of tooth. This negligence encourages plaque formation on teeth, by causing inflammation of gum tissues which ultimately leads to gingivitis and tooth loss. The oral hygiene can be maintained throughout the day by using various dentifrices prepared by herbal and synthetic ingredients. This work was carried out to prepare a tooth paste which can be used as a tool for proper oral hygiene and to overcome the side effects of the conventional toothpaste prepared by synthetic ingredients. In this study an attempt is made to dispense an alternative to the users by formulating herbal tooth powder using Ginger, Tulsi, Liquorice, Neem, Clove, Camphor, Cinnamon, Activated charcoal and Rock salt. This work was carried out to prepare a tooth powder which can be used as a tool for proper oral hygiene and to overcome the side effects of the conventional tooth powder which can be used as a tool for proper oral hygiene and to overcome the side effects of the conventional tooth powder prepared by synthetic ingredients. Tooth powder is used in combination with tooth brush to maintain the oral hygiene such as freshness of mouth and to avoid tooth decay. In the present work, the herbal tooth powder was formulated and standardized by analysing necessary evaluation parameters such as organoleptic, physical and phytochemical evaluation of herbal tooth powder.

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Ginger, Tulsi, Liquorice, Neem, Clove, Camphor

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The SLS Launch vehicle with Orion spacecraft is going to be used for NASA's Artemis project to send humans back to the moon's first after 1972. It has been observed that during the journey to orbit, the spacecraft undergoes various payload conditions. The outer body of the nose cone and the connecting compartment have to undergo temperature changes with respect to speed, atmospheric, and pressure conditions. Due to such conditions, the spacecraft can have a serious impact on the outer surface of the nose cone. When the system is directly integrated with the Abort origin or payload fairing in both versions of SLS, it is going to have an impact. To avoid the impact and to standardize the deformation on the spacecraft, there have been changes in the design, and a modified design is compared with the current existing SLS models. This paper also reveals the study results of the simulation analysis of the nose cone of the SLS model, which have carried out simulations of the pre-existing materials, such as metals and alloys, and a new composite material is taken as a review for the analysis under the harsh and extreme conditions faced by the spacecraft and launch vehicle during the launch sequence, in space, and atmospheric re-entry. Comparing the results to get an efficient material outcome that makes the design robust, sturdy, and efficient, considering safety parameters.

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NASA, launch vehicle, Satellite, Rocket Simulation, Payload fairing

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