Volume 12 | Issue 3 |

 Abstract

Globally, the rank of India in the production of rice is second in the world after China. Rice is the most significant crop in Assam, which accounts for 2.54 million hectares of the overall planted area of 4.16 million ha. Early harvesting could open up opportunities for extra revenues through farming of short duration vegetable crops in the gap between two major crops i.e. paddy and wheat. The use of mechanized power for agriculture purpose reduces not just the hardship faced by the farmers under traditional manual practices but also speeds up agricultural processes, saves cost and enhances agricultural productivity. Various types of paddy harvesters are already available in market which are bulky and are costly. Considering the topographical scenario of paddy farms in Jorhat district of Assam, the performance of self-propelled reaper cum binder was evaluated. The cutting width was found to be 1828.8mm, with fuel consumption 3-4.5 l/ha, and the working efficiency was found to be 4046.86 m2/h. The Effective working width is 620mm, effective field capacity as 0.0823ha/h and the field efficiency as 99.15%. The machine was found suitable to be used in Assam condition considering the moisture present during the harvesting of paddy.

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 Keywords

Harvesting, Paddy, Harvester, Reaper, Reaper cum Binder.

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Creative Commons Attribution 4.0 and The Open Definition

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Nexus A.I. is an innovative conversational AI system that seamlessly merges natural language processing (NLP) and text generation techniques. By harnessing the power of the OpenAI API and user-friendly speech recognition libraries, Nexus A.I. delivers dynamic text and voice responses and intelligent conversations with ease. It showcases practical AI-driven interactions while laying the foundation for future enhancements. In the rapidly evolving landscape of AI, Nexus A.I. stands out as a user-centric contribution to conversational AI systems, offering versatile interaction capabilities through both voice and text modalities. Leveraging advanced NLP algorithms and machine learning techniques, Nexus A.I. personalizes the user experience by understanding individual preferences and tailoring responses accordingly. Continuous improvement mechanisms, driven by user feedback and usage data, ensure that Nexus A.I. evolves over time to meet evolving user needs, promising a seamless and adaptable user experience in the long term.

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 Keywords

Natural Language Processing(NLP), OpenAI API, Speech Recognition, Conversational AI , User-Centric Interaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In all major Samhita, Bhagandara is considered under Ashtamahagada1 with seven other diseases due to its arduous nature. Its clinical features, described in classical literature are similar with Fistula-in-ano. In Bhagandara there is a Pidika occurs around Guda Kshetra, when bursts, it called as Bhagandara. There are different kind of treatment mentioned in ayurvedic classics like Eashana, Paatana, Kshara, Agni etc. and finally it treated as Vrana and for minimize the time of healing of Vrana, many remedies are described. So we selected the Saindhavadi Taila for present study which has good result by reducing the healing time in the management of Bhagandara Vrana.

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 Keywords

Fistula in ano, Bhagandara Vrana, Saindhavadi Taila

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Plants provide valuable medicinal chemicals with significant potential in the pharmaceutical sector. The study aims to determine the phytochemical composition of therapeutic plants and evaluate their antioxidant and antibacterial properties. This study was undertaken with an objective of testing the antimicrobial and antioxidative properties of Alstonia Scholaris leaves and identifying the bioactive compound . Alstonia scholaris R. Br, a part of the Apocynaceae family, is a plant utilised in conventional medicine. The research aims to qualitatively examine and compare the initial phytochemical components present in the Alstonia scholaris leaves. The qualitative Phytochemical screening indicates the existence of flavonoids, phenolic compounds, alkaloids, phenols, and tannins in the leaf extracts. Analysed the antibacterial and antioxidant activities of Alstonia scholaris leaf extracts in vitro. The antibacterial efficacy of extract of leaves was assessed using an alcoholic extract to ascertain the minimal inhibitory concentration (MIC) for both positive and negative pathogens: Staphylococcus aureus, Escherichia coli, using disk diffusion method. Methanolic extract from leaf of Alstonia scholaris showed potential antioxidant activity and antimicrobial activity. Plant extracts' antioxidant activity was assessed by FRAP. The plant extracts exhibited strong antioxidant action against FRAP. The Alstonia scholaris extracts exhibited notable antibacterial activity, with minimum inhibitory concentration (MIC) values ranging from 31.25 to 1000 ug/ml, and demonstrated bactericidal activity against all tested species. The analysed extracts of medicinal plants in our research have the potential to serve as antioxidants, antibacterial agents, and as sources for creating novel pharmaceuticals.

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 Keywords

Alstonia scholaris R., Microbial activity, Antioxidant activity, Agar well diffusion method

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Creative Commons Attribution 4.0 and The Open Definition

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Sports broadcasting rights are a vital connection between the sports industry and basic rights, encapsulating a complex interplay of legal, economic, and societal considerations. Important considerations for finding a fine balance between private interests, individual rights, and economic interests are raised by this intricate relationship at the intersection of intellectual property rights, public access, and freedom of speech. On the one hand, broadcasting rights are an example of intellectual property since they recognize the financial commitments made by organizations in producing and disseminating sports material. The preservation of these rights is essential to sustaining the financial viability of the sports industry, promoting innovation, and maintaining the standard of athletic events.

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Broadcast, sports, media rights, intellectual property

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Creative Commons Attribution 4.0 and The Open Definition

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In Kashmir, the majority of Muslims are Sunni. Whereas Shias account for between 20% and 25% of the Muslim population, who mostly reside in north and central Kashmir. They refer to themselves as "Koshur" in their mother language. As, it was a tradition that the state patronage by way of Madad-i- Maash, grants and stipends etc, was extended to the sufis saints, scholars, theologians and others ever since the establishment of Muslim rule in Kashmir. It attracted many people of significance, piety and intellect from outside Kashmir. Mir Shamas-ud Din Iraqi came to Kashmir in A.D1481 as an envoy of Timurid Sultan Husain Mirza of Herat (Afghanistan 1469-506)) to the court of Sultan Hasan Shah (1472- 84). He was a votary of the Nurbakshi belief and he introduced it in the valley. There are many contradictory reports about Shamas al- Din Iraqi and his mission. According to Mohammad al-Din Fauq, "Iraqi was a Shia."

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Shia- Sunni interaction in Kashmir during the Mughal Period

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The concept of Unpublished Price Sensitive Information (UPSI) is pivotal in understanding and regulating insider trading activities in India. Defined under Rule 2(n) of the SEBI PIT Regulations, 2015, UPSI encompasses a broad spectrum of confidential data pertaining to a company's financial performance, strategic decisions, and other material developments. This paper explores the legal framework surrounding UPSI, landmark judgments, notable observations from insider trading cases, and recent developments in SEBI regulations. Through an analysis of cases such as Mrs. Chandrakala vs. SEBI and PVP Global Ventures, this paper delves into the complexities of proving insider trading violations, emphasizing the interplay between market behaviors, informational dynamics, and legal requirements. Key considerations include the presumption of possession of UPSI, trading patterns based on UPSI, and the distinction between generally available information (GAI) and UPSI. Furthermore, recent developments such as SEBI's consultation paper proposing changes to the definition of UPSI highlight the ongoing efforts to enhance regulatory effectiveness in combating insider trading. The paper also discusses the implications of including material events from Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015 within the scope of UPSI, potentially leading to indefinite trading halts for certain individuals. Overall, this paper provides a comprehensive overview of UPSI regulation in India, addressing legal ambiguities, landmark judgments, and evolving regulatory approaches aimed at ensuring market integrity and investor protection.

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 Keywords

Insider Trading, India, Emerging Markets, Indian Judiciary, Emerging Markets, SEBI, PIT Regulations, UPSI, Stock Market.

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Creative Commons Attribution 4.0 and The Open Definition

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This study has been undertaken to the development of a deep learning-based system for predicting tomato leaf diseases, which are particularly significant in the agricultural industry due to the crop's high commercial value and contribution to food security. The proposed system utilizes a deep convolutional neural network (CNN) with transfer learning. The system determines plant health and predicts the specific disease if present.

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Deep learning, Convolutional Neural Network (CNN), Transfer learning,Image Preprocessing, Tomato leaf disease, Early detection, Web application, Agricultural productivity.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents a novel approach to enhance the efficiency of a multiplier for image blending applications by employing the Dadda multiplier architecture. The proposed design incorporates an efficient approximate compressors-based module and integrates an error-correcting module, contributing to a judicious trade-off between computational efficiency and accuracy. Notably, the error-correcting module achieves substantial compensation, reducing errors from 36.30% to 28.69%. Leveraging the inherent high-speed and low-power characteristics of the Dadda multiplier, the proposed architecture optimizes hardware complexity while maintaining an acceptable level of accuracy. Through comprehensive simulations and analysis, this validates the multiplier's effectiveness in real-time image blending scenarios, highlighting its potential for applications where computational speed and precision are critical.

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 Keywords

Dadda multiplier; Approximate Compressors; Error Correcting Module

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Creative Commons Attribution 4.0 and The Open Definition

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Betel leaves, derived from the Piper betle plant, have been utilized for centuries across various cultures for their medicinal, cultural, and social significance. This paper presents a comprehensive review of the bioactive compounds found in betel leaves and their pharmacological properties. Betel leaves contain a plethora of phytochemicals including phenols, alkaloids, tannins, and essential oils, which contribute to their diverse biological activities. These bioactive constituents exhibit antioxidant, antimicrobial, anti-inflammatory, antidiabetic, anticancer, and gastroprotective properties, among others. Additionally, betel leaves possess analgesic, wound healing, and oral hygiene benefits. This review explores the mechanisms of action underlying these pharmacological effects, highlighting their potential therapeutic applications. Furthermore, considerations regarding toxicity, dosage, and formulation strategies are discussed. Overall, betel leaves represent a promising source of natural compounds with significant pharmacological potential, warranting further research to elucidate their mechanisms of action and optimize their therapeutic use.

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 Keywords

piper betle, medicinal use, anti-oxidant, Pharmacological activity, Paan ka patta

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Creative Commons Attribution 4.0 and The Open Definition