Volume 13 | Issue 8 |

 Abstract

In the evolving landscape of global commerce, supply chains have transformed from static transactional models to dynamic, interconnected systems. The concept of complete justice, drawn from constitutional jurisprudence, has profound implications in these environments--particularly in supplier-customer relationships within agile and resilient ("Agilent") supply chains. This article explores how the principle of complete justice can serve as a foundation for fair, responsive, and sustainable commercial partnerships by complementing legal obligations with ethical considerations.

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 Keywords

Complete Justice, Supply Chain, Transparency, Equality, Supplier Customer Relationship

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Artificial intelligence is changing the face of modern marketing, offering brands powerful tools to understand, predict, and influence consumer behavior with remarkable precision. From automated content generation to real-time personalization and predictive targeting, AI is helping marketers reach audiences in more intelligent and effective ways. However, with this growing technological capability comes a pressing ethical responsibility. As marketers gain deeper access to personal data and behavioral insights, the line between helpful personalization and invasive manipulation is becoming increasingly blurred. This conceptual paper explores the ethical dimensions of using AI in marketing. It begins by examining the key capabilities of AI that are being adopted in customer engagement--such as behavioral tracking, recommendation algorithms, emotion detection, and personalized pricing--and discusses how these tools, when not implemented carefully, may compromise consumer autonomy, privacy, and trust. The paper highlights real-world concerns such as algorithmic bias, lack of transparency, deepfake content, and the psychological impact of hyper-targeted messaging.To address these issues, the paper proposes a values-driven ethical framework that integrates innovation with accountability. It argues that ethical AI in marketing should go beyond regulatory compliance and embrace principles such as transparency, fairness, consent, and explainability. The framework also emphasizes the importance of cross-functional collaboration between marketers, data scientists, legal experts, and ethicists in designing AI systems that respect the human side of the consumer.By grounding the discussion in both current practice and forward-thinking strategy, this study aims to encourage organizations to treat ethical AI not as a constraint, but as a competitive advantage. Responsible AI use can strengthen brand reputation, foster long-term loyalty, and future-proof marketing efforts in an increasingly data-conscious world. In doing so, it invites marketers to reflect on a deeper question: not just what AI can do for marketing, but what marketing should stand for in the age of AI.

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Ethical AI, Consumer Trust, Responsible Marketing, Data Privacy, Algorithmic Bias

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Physics, as a central discipline in secondary education, has long been regarded as abstract, conceptually demanding, and often disengaging for learners. Traditional lecture-based pedagogies, while effective in transmitting factual knowledge, have shown limitations in fostering deep conceptual understanding, scientific reasoning, and real-world problem-solving. This research article explores advanced pedagogical approaches in teaching Physics at the school level, including inquiry based learning, problem-based learning, conceptual change strategies, peer instruction, and technology integration. The paper reviews empirical evidence on the effectiveness of these methods, highlights challenges in implementation, and offers recommendations for sustainable improvement. The study concludes that while advanced pedagogy enhances students' learning outcomes and motivation, teacher training, curriculum reform, and resource provision are critical for large-scale success.

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Physics education, pedagogy, inquiry-based learning, conceptual change, technology integration, peer instruction

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: Sand casting is an oldest method to accomplish obligatory shape, Every Foundry industry Requires least amount denunciation of module, Rejection Is Caused by Undesired indecision Found in Component's. Quality of casting is depends upon flow of molten metal through gating system. Unacceptable gating design is mainly in charge for the unrest and also in charge for shrinkage porosity. In other words, molten metal should enter into the mold cavity within solidification time of melt, so proper design of gating system is essential. Proper gating system design reduces the turbulence in the pour of molten metal, it also minimize air setup, sand inclusion, oxide film and dross. This paper describes the design of a gating system and feeder to produce Aluminium alloy casting of spherical component having diameter 180mm, and height 60mm the gating system with ratio of 1:4:4 (non- pressurized) and silica sand moulding method. It is crucial to recognize design of gating system and feeder for producing defect free casting. Objective of this research is to improve the quality of 7075 aluminium alloy casting by dipping defects producedin silicas and moulding process through proper gating system design and feeder design.

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Design, Feeder Design, Sand casting, Aluminium Alloy

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 Abstract

मानवी वृत्तीनुसार मनातील विचार भावभावना व्यक्त करणे म्हणजे अभिव्यक्ती होय. आपल्या अंगी असलेले गुण किंवा विचार, ज्ञान, कला कुठल्याही माध्यमातून समोरच्यापर्यंत पोहोचविणे यालाच अभिव्यक्ती म्हणतात. मनुष्य जेव्हा आपल्या भावभावनांना शब्दरूप देतो तेव्हा साहित्य निर्माण होते, हीच वाङ्मयीन अथवा साहित्यिक अभिव्यक्ती होय. शब्द मूर्त असतात विरून जातात म्हणून साहित्यिक अभिव्यक्ती अमूर्त राहण्यासाठी होण्यासाठी विविध माध्यमांचा उपयोग होऊ लागला. सुरुवातीला ‘जे जे वाणीमय ते ते वाड्·मय’ असे हे वाड्·मय वाणीवरच खेळते ठेवल्या गेले. म्हणजे ते पाठ केल्या गेले. मौखिक स्वरूपात असलेले हे मराठी साहित्य एका पिढीकडून दुसऱ्या पिढीकडे असेच हस्तांतरित होत गेले. पुढे लिपी आणि लिखाणाच्या साधने विकसित झाल्याने ते हस्तलिखित स्वरूपात समोर आले. हस्तलिखित स्वरूपात मराठी साहित्याचे संवर्धन झाले असे आपणास म्हणता येईल. या माध्यमातून साहित्याला अमूर्त रूप प्राप्त झाले. प्राचीन आणि मध्ययुगीन काळातील सर्व मराठी साहित्य (संत, पंत, तंत )आपणास याच हस्तलिखित स्वरूपात दिसतात. मुद्रणाचा शोध लागल्यावर मराठी साहित्याच्या सार्वत्रिकतेच्या दृष्टीने मोठी क्रांती झाली. मराठी साहित्य हे मुद्रित माध्यमातून म्हणजे पुस्तके,वृतपत्रे, नियतकालिके आणि मासिके इत्यादींच्या माध्यमातून मराठी साहित्यिक अभिव्यक्ती होऊ लागली. मुद्रित माध्यमाने अनेक वाचकांची साहित्यिक अभिरुची वाढविली आणि अनेक नवे लेखक लिहिते होऊ लागले. या अभिव्यक्तीमुळे पुढे मराठी साहित्याच्या प्रकारातही भर पडत गेली. इलेक्ट्रॉनिक माध्यमाच्या उदयाने पुढील काळात मराठी साहित्य लिखित स्वरूपातून सादरीकरणाच्या स्वरूपात आपल्यासमोर आले आणि सर्वत्रिक झाले. दृकश्राव्य स्वरूपात ते ग्रामीणातील ग्रामीण भागातही पोहोचले, यातून मराठी साहित्य लोकाभिमुख झाले. या माध्यमातून सामान्यातल्या सामान्य लोकांमध्येही साहित्य अभिरुची निर्माण झाली. दृक-श्राव्य माध्यमाच्या पुढे जाऊन झालेल्या डिजिटल क्रांतीने मराठी साहित्याचे माध्यम पुन्हा एका वेगळ्या मंचावर परावर्तित झाले आणि मराठी साहित्याची दशा आणि दिशा बदलली. मराठी साहित्याच्या या नव्या मंचाचा त्यावरील साहित्य अभिव्यक्तीचा आढावा घेणे साहित्याच्या सकसतेसाठी माध्यमांवर शास्त्रीय संशोधन करणे गरजेचे आहे.साहित्याच्या अभिव्यक्तीच्या दृष्टीने आणि त्याच्या विकासाच्या दृष्टीने नवे माध्यम कसे कार्य करीत आहे हे जाणून घेणे शक्य होईल,ज्यातून भविष्यात योग्य ती पावले साहित्याच्या दृष्टीने उचलता येतील.

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 Keywords

सोशल मीडिया,साहित्य, मराठी साहित्य ,साहित्य अभिव्यक्ती,माध्यमे ,अभिव्यक्ती माध्यमे

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India's age-old traditional medicine practice has significantly contributed to healthcare. Additionally, all traditional remedies have their own regional effects. A protracted debate has arisen between modern and traditional medical systems, focusing on therapeutic activity, side effects, and other factors. Discussing different Indian traditional medicinal systems and their importance based on recent reviews, this article presents a preliminary outline of the development of traditional Indian medicine. It brings attention to government programs as well as the library's job of preserving and giving information concerning India's traditional medicines.

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Traditional medicine, Traditional medicinal practice, India, Ayurveda, Siddha, Unani, Homeopathy, Yoga, Government initiatives, Role of library.

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Psychiatry within the Siddha system of medicine remains an underexplored yet profoundly significant field. Agathiyar Kirisa Nithana Nool - Moolamum Uraiyum, authored by Dr. T. Michael, represents one of the few comprehensive works addressing psychiatric disorders in Siddha medicine. This review critically examines the structure, content, and clinical insights of the text, which documents eighteen distinct psychiatric conditions, their symptomatology, and management through internal and external therapies. The book also presents experiential remedies (Anubhava Marunthugal), novel formulations, and practical therapeutic techniques such as Kalikkam (eye salve) and Pugai (fumigation). Its readability, clear organization, and practical orientation render it a valuable resource for practitioners, students, and researchers. While the book's strengths lie in preserving and systematizing traditional psychiatric knowledge, limitations include its reliance on a single author's perspective and lack of translations for wider accessibility. Overall, this review underscores the text's significance in enriching contemporary psychiatric discourse, bridging ancient Siddha wisdom with modern mental health practices, and highlighting the need for further interdisciplinary and clinical research.

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Psychiatry, Kirisam, Anubhava Marundhugal, Siddha.

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Credit card fraud cares with the illegal use of master card information for purchases. Credit card transactions are often accomplished either physically or digitally. In the manual transactions, the credit card is included during the transactions. In digital transactions, this will happen over the phone or the web. Cardholders might be providing their card number, expiry date, and the verification of the card number through telephone or website. Billions of dollars are lost thanks to master card fraud per annum. Machine learning techniques are wont to detect master card fraud. Standard models are first used. Then, hybrid methods which use random forest and xgboost segmentation and popular voting method are applied. Then, a real-world master card data set from a financial organization is analysed. In addition, noise is added to the info samples to further assess the robustness of the algorithms. Here random forest segmentation and xgboost algorithm will give the 94% percent accuracy.

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Machine Learning, Credit Card Fraud, detection,Random forest ,xgboost algorithm

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Neuroendocrine small cell carcinoma (SCLC) is an aggressive form of lung cancer with a high propensity for early metastasis. The most common sites of metastasis are regional lymph nodes, liver, bones, and brain. However, metastasis to the spinal cord is an exceedingly rare occurrence. This case report presents a rare instance of a neuroendocrine small cell neoplasm that originated in the lungs and extended to the spinal cord, initially presenting with a pleural effusion. A 50 years old female patient was presented with the complaints of breathing difficulty, left sided chest pain and palpitaton was admitted in the pulmonology department. The patient had history of Rheumatic heart disease and has undergone balloon mitral valvuloplasty in 2009. According to CECT thorax, USG abdomen and pelvis the patient had pleural effusion. MRI dorsal spine with cervical spine screening suggested malignant neurogenic tumor. Based on biopsy from left pleural effusion the patient was found to have metastatic neuroendocrine neoplasm possibly small cell carcinoma. The clinical presentation, diagnostic approach, and treatment strategy are discussed in light of current literature. This case highlights the complexity of diagnosing such rare metastases and emphasizes the importance of early recognition and multi-disciplinary management in such aggressive neoplasms.

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Small cell lung carcinoma (SCLC), Neuroendocrine tumor

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Introduction A decision tree is one of the predictive modelling approaches used in statistics, data mining and machine learning. It is a non-parametric Decision trees are a non-parametric supervised learning method used for classification and regression tasks in statistics, data mining, and machine learning. This approach constructs a tree-like structure to identify patterns in data, providing results that are both accurate and easily interpretable. Decision trees are capable of handling missing values, processing both numerical and categorical data, and are scalable to large datasets. They are widely applied in diverse domains such as radar signal classification, medical diagnosis, and speech recognition. This paper provides an overview of decision tree methodology, including classification and regression trees, with a particular focus on the underlying probabilistic and statistical concepts such as entropy, information gain, gain ratio, and Gini index. These measures play a crucial role in evaluating node purity and guiding the tree-building process through recursive partitioning. The C5.0 algorithm, an industry-standard advancement over earlier decision tree models, is highlighted for its robustness, efficiency, and interpretability. An example using a student

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ID3 (Iterative Dichotomiser 3), C4.5,C5.0,CART

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