Volume 13 | Issue 1

 Abstract

Abstract Complexes of Zinc (II) are synthesized by the coordination of zinc ions with primordial and supplementary ligands and have shown potential to be used in numerous fields including catalysis, material science and biomedical. In this review, the solutions synthesis and electrodeposition methods have been discussed in detail where the choice of ligand has been shown as the key to the desired morphology and properties of the Mn oxide. The geometry, stability, and electronic properties of these complexes are further described by spectroscopy, X-ray diffraction, and thermal studies. Emphasized are their optical, electronic, and biological performances which confirm their versatility in organic catalysis, drug delivery and sensing systems. Some limitations and future development are discussed concerning the need to improve selectivity, increase the yield of synthesis in an industrial point of view, and the use of more green protocols. This surveying paper will to some extent, shed light on the growth area that relates to Zinc (II) ternary complexes and their versatility,

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Keywords: - zinc ion, catalysis, material science, biomedical, ligand, spectroscopy, X-ray diffraction, thermal studies, green protocols.

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Integrating artificial intelligence (AI) in the Indian Judiciary is gaining rapid momentum, promising substantial benefits in streamlining processes, reducing costs, and improving overall efficiency within the justice delivery system. However, the deployment of AI has also sparked discussions surrounding its dependability, potential biases, and influence on judicial rulings, garnering attention from legal experts and the general public alike. This study explores these concerns and delves into the practical implementation of AI for the Indian Judiciary. By conducting an in-depth analysis of relevant studies and research, the study examines the perceptions of legal professionals, litigants, and the general public regarding the application of AI in the justice delivery system. The study further evaluates the impact of AI on judges' decision-making and scrutinises the potential risks related to AI software bugs. Additionally, a comprehensive assessment of existing AI research papers in the legal domain is presented, with specific emphasis on AI chatbots developed to assist lawyers. The findings from this study offer valuable insights for policymakers, legal practitioners, and AI developers aiming to responsibly integrate AI technologies to enhance legal processes and ensure easy access to the justice delivery system. By addressing challenges and prioritising transparency, AI can augment human decision-making rather than replace it, ultimately fostering a more equitable and efficient justice system.

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Artificial Intelligence, e-Courts, Indian Judiciary

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Leadership development is essential for organizational growth and employee performance. This study explores the effectiveness of leadership programs, focusing on organizational support, training strategies, and engagement methods. Using qualitative and quantitative approaches, data from various industries reveal key success factors, such as alignment with organizational goals, experiential learning, and managerial support. The findings suggest that robust programs lead to higher satisfaction and productivity. Organizations must address challenges like resource limitations and employee participation to optimize these initiatives. This research contributes to developing practical strategies for fostering leadership in dynamic work environments.

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Leadership development, employee engagement, organizational growth, training programs, professional development

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ABSTRACT: Phytochemical study revealed the presence of several compounds in the roots of Plumbago indica. Carrageenan-induced paw edema can be used to screen for anti-inflammatory agents. The study found that oral administration of the plant reduced hyperalgesia and inflammation.In humans, this nociceptor sensitization usually leads to clinical conditions known as hyperalgesia defined as an increased response to a painful stimulus or allodynia described as pain evoked by non-noxious stimuli. In our study, we have proven that oral administration of aqueous extract of Plumbago indica 30 min before Carrageenan was in grade to reduce hyperalgesia and allodynia significantly at 6 h post- Carrageenan..Edema and pain in the hind paw of animals as a result of Carrageenan -induced inflammation usually limit their motility and cause trouble in using their hind paw. During a Carrageenan -induced acute inflammation event, paw tissue loses normal muscle architecture and shows important amassing of infiltrating inflammatory cells and increased inter-fiber space during physical observation. During our study, we found that oral administration of Plumbago indica decreased infiltrating inflammatory.

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Plumbago indica, phytoconstituents, extraction

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Himachali Lok Sangeet Mein Vyavahaarit Lok Taalon Ka Sangeetik Adhyayan

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Himachali Lok Sangeet Mein Vyavahaarit Lok Taalon Ka Sangeetik Adhyayan

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Impact of Welfare Scheme on the Development of Tribal Women

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In today's fast-paced world, the AI-Powered Recruitment System revolutionizes hiring by automating key tasks such as resume screening, candidate-job matching, and interview scheduling. This enables HR teams to save time and focus on strategic goals. Unlike traditional hiring methods, which often involve manual resume reviews and time-consuming processes prone to bias, the AI system ensures efficiency and precision. Beyond recruitment, it evaluates employee performance, identifies skill gaps, and boosts engagement, fostering workforce development. By reducing bias and enhancing hiring accuracy, it offers a seamless experience for both candidates and companies.

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AI-powered recruitment, recruitment automation, candidate-job matching, resume screening, HR management, employee performance evaluation, bias reduction.

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This study explores how organic farming affects soil health and crop nutritional quality in Nanded. Organic farming avoids synthetic chemicals and relies on natural practices like composting and crop rotation. By examining soil samples and crop data from organic farms, the study aims to evaluate changes in soil properties, such as improved nutrient content and increased microbial activity, which are key indicators of soil health. Additionally, the study measures the levels of essential nutrients and antioxidants in crops grown organically to see if they are higher compared to conventionally farmed crops. The goal is to determine whether organic farming provides tangible benefits for both soil quality and crop nutrition, offering useful information for local farmers to consider when choosing farming practices.

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Organic farming, Soil health, Nutritional quality of crops, Nanded, Composting, Crop rotation, Organic fertilizers, , Soil nutrients, Antioxidants, Soil fertility, Sustainable farming practices, Environmental sustainability, Organic inputs

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Pesa Adhiniyam Ka Aadivasi Samudayo Ke Samajik Sashtikaran Per Prabhav

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Pesa Adhiniyam Ka Aadivasi Samudayo Ke Samajik Sashtikaran Per Prabhav

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This project is centered on how to use Augmented Reality (AR) for demonstrating and visualizing furniture. The core idea is to develop an AR-based system with which users can interact with virtual furniture within a real- world environment. By adding 3D models of furniture to an AR platform, users can manipulate, view, and customize pieces of furniture in their own dwelling spaces, providing experience-rich practicality than can be obtained via the online catalogues or in-store display. Users are enabled to change position, size features and orientation of furniture models and visualize in real time how they will fit and look at home. The undertaking also offers color and material personalization, which completes an entire interior design planning tool. Implementation involves the creation of high- fidelity 3D models of various types of furniture, their optimization for AR applications, and developing a user-friendly interface that supports intuitive interaction. The productiveness of the system is quantified through user testing and focuses on user-friendliness, accuracy of placement, and overall user satisfaction. This AR/VR Furniture Visualization demonstration system certainly tries to provide a connection between online shopping and the analogue experience of using furniture: it can allow consumers to visualize and choose products more flexibly and excitingly, making decisions better.

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Virtual Reality, Furniture Modelling, Furniture Visualization, Augmented Reality

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In this study, the Upper Ganga Plain's habitation pattern and cultural adaptations are reviewed. Human interactions with technology, the environment, and sociopolitical institutions are reflected in the Upper Ganga Plain's settlement patterns and cultural adaptations. Numerous cultural sequences throughout the history of human civilizations have been uncovered by archaeological investigations in the Upper Ganga plain. Excavations over the past few decades have shown the existence of Painted Grey Ware and Northern Black Painted Ware cultures in the Upper Ganga Valley, as well as prehistoric culture. The interaction of various civilizations, sociocultural customs, and technological developments is reflected in the pottery produced in this area. There is evidence of a robust ceramic culture that is profoundly ingrained in the Upper Ganga Plain's ancient history.

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Settlement Pattern, Cultural adaptation

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This research examines the thematic and psychological dimensions of the poetry of Sylvia Plath, Emily Dickinson, John Clare, and T.S. Eliot, focusing on the potential presence of schizophrenia symptoms in their works. Schizophrenia, a complex mental disorder, manifests through symptoms like delusions, hallucinations, disorganized thinking, and emotional instability. By analyzing selected poems, the study identifies instances of these symptoms, exploring how mental health challenges influence artistic expression. This paper draws upon both psychiatric literature on schizophrenia and literary criticism to explore the possible manifestation of symptoms within the poems of Sylvia Plath, Emily Dickinson, John Clare, and T.S. Eliot. Each poet brings unique psychological struggles to their work. Sylvia Plath's vivid imagery and fragmented structures suggest cognitive disturbances. Emily Dickinson's reclusive life and symbolic language, as seen in I Felt a Funeral in My Brain, reflect hallucinatory experiences. John Clare's disjointed thoughts and profound isolation, shaped by his time in asylums, align with schizophrenia's negative symptoms. T.S. Eliot's modernist works, particularly The Waste Land and The Hollow Men, mirror disorganized thinking and emotional fragmentation. Through close readings, the research highlights how psychological distress informs creativity, using schizophrenia as a lens to deepen literary analysis. While none of these poets were formally diagnosed, their works reveal recurring patterns tied to schizophrenia, emphasizing the profound intersection of mental health and artistic expression.

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schizophrenia, hallucinations, delusion, isolation, perception

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Tilda Vikashkhand Me Bhumi Upyog Ev Krushi Pratiroop

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Tilda Vikashkhand Me Bhumi Upyog Ev Krushi Pratiroop

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Social media is a weapon that is capable of construction as well as destruction. The real power of the prevailing social media platforms becomes evident by witnessing the influence created by these platforms on a large scale. It plays a significant role in everyday life. The rising popularity due to its ability to make people attached with kith and kin have paved the way for the world to share photos, feelings, videos, which bears a high-security concern. However, most social media users do not know the underlying security level(s) of the respective account(s), including which features of these social media have to be considered if there is a risky situation. Hence, this would help the police to identify the type of people who would create more crimes. These results would help the police to narrow down their search on criminals for better surveillance. The police must focus on those with these factors while monitoring social media.

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social media, cyber crime ,cyber criminals

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The early detection of sexually transmitted diseases (STDs) and sexually transmitted infections (STIs) is critical for effective treatment and prevention of complications. With advancements in artificial intelligence, machine learning algorithms offer promising tools for accurate and efficient diagnostics. This study presents a comparative analysis of tree-based algorithms, with an initial focus on Random Forest, for the detection of STDs/STIs using publicly available datasets. The model achieved an accuracy of 96%, demonstrating the effectiveness of tree-based methods in medical diagnostics. A detailed evaluation of the model's performance, including a confusion matrix and feature importance analysis, is included. Future work will focus on implementing deep learning algorithms to enhance detection accuracy and generalizability. This paper serves as Phase One of an ongoing study aimed at leveraging machine learning for improved healthcare diagnostics.

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Tree Learning, Deep learning, Sexually Transmitted Disease (STD) Prediction, Random Forest.

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This study reviews the changes in the Gulpha Sandhi Sharir, with a specific focus on Amavata. Gulpha Sandhi Sharir refers to the ankle joint in Ayurveda, which is crucial for movement. Amavata is a chronic inflammatory disorder that resembles rheumatoid arthritis and primarily affects the joints, leading to pain, swelling, stiffness, and limited mobility.The review examines key structures in the Gulpha Sandhi, including bones, ligaments, tendons, and synovial membranes, and explains how Amavata impacts these structures. By analyzing classical Ayurvedic texts alongside modern medical literature, this study clarifies the development of Amavata, highlighting the accumulation of Ama (toxins) and its interaction with Vata dosha. The study discusses significant issues such as joint tissue damage, abnormalities in synovial fluid, and inflammation. It aims to link Ayurvedic principles with modern anatomical understanding, providing valuable insights for the management and treatment of this challenging condition.

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Gulpha Sandhi, Sharir, Amavata, Synovial Fluid

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Potato diseases, such as late blight and early blight, pose significant threats to global agricultural productivity. Manual disease detection is time-intensive and error-prone, necessitating automated solutions. This study proposes a deep learning-based system using Convolutional Neural Networks (CNNs) for identifying potato leaf diseases. The model was trained and tested on an augmented dataset, achieving a classification accuracy of 97%. It effectively distinguishes healthy leaves from diseased ones. The system's robustness is validated through cross-validation and practical testing. Key advantages include high accuracy and scalability for agricultural applications. The approach can be extended for real-time use through IoT devices. This work aims to assist farmers in early disease detection, reducing crop losses and enhancing productivity.

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Potato disease identification, deep learning, CNNs, late blight, early blight, image classification, agricultural technology.

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In this paper, we propose a Vehicle Recommendation System leveraging the power of Artificial Intelligence (AI) and Random Forest methodology. Our system is designed to recommend vehicles to users based on their specific preferences and requirements. Using a dataset of 1265 entries and 27 features, the AI model identifies the most suitable vehicle for customers by analyzing their responses to a series of pre-determined questions. This project demonstrates the application of Random Forest for classification and recommendation tasks, showcasing its effectiveness in decision-making processes.

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Vehicle Recommendation System,Random Forest,Artificial Intelligence

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In the age of artificial intelligence (AI) and graphics processing units (GPUs), the flip-flop (FF) has emerged as one of the processor's most power- hungry elements. A unique single- phase-clock dual edge triggering (DET) FF employing a single transistor clocked (STC) buffer (STCB) is suggested as a solution to this problem. The clock redundant transitions (RTs) and internal RTs present in previous DET designs are eliminated entirely by the STCB's use of a single- clocked transistor in the data sampling path. The suggested STC-DET beats the previous state-of-the- artlow-powerDET in power consumption by 14% and 9.5%, at 0.4 and 0.8 V, respectively, when running at 10% switching activity, as shown by post-layout simulations in 22 nm fully depleted silicon on insulator (FD-SOI) CMOS. Among the DETs, it also attains the lowest power-delay-product (PDP).

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Flip-Flop, Dual-Edge Triggered, Low Power, TSPC (TrueSingle-PhaseClock), Redundant- Transition-Free Clocked Single Transistor

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Since its beginning in 1987, the Research Department has successfully completed more than 1,200 projects, leading to a substantial accrual of files and papers related to each study. Currently, these records exist in the form of an Excel sheet and Word documents and pose quite an obstacle for Research Administration. to keep abreast, monitor, and track their progress as ongoing studies. The increasing volume and complexity of these projects have made it difficult to supervise research activities effectively and ensure smooth progress across multiple stages. This paper explores the challenges faced by the department due to the existing manual record-keeping system and proposes a more efficient, centralized approach to project management. By incorporating advanced technology and the most up-to-date data management, this research strives to smooth the process of monitoring while upgrading tracking abilities to ensure maximum efficiency in administering research.

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Project management

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