Volume 13 | Issue 1 |

 Abstract

In recent years, Artificial Intelligence (AI) has been rapidly integrated into various domains, enabling systems to make informed decisions. AI advancements have the potential to transform the functioning of modern libraries. However, implementing AI in library operations poses significant challenges. This study examines how smart libraries can enhance user services through the application of machine learning (ML) techniques. The research explores various machine learning methods, including Random Forest (RF) and several boosting algorithms such as Light Gradient Boosting Machine (LGBM), Histogram-based Gradient Boosting (HGB), Extreme Gradient Boosting (XGB), CatBoost (CB), AdaBoost (AB), and Gradient Boosting (GB), for the task of identifying and categorizing favorite books. A detailed analysis using a publicly available dataset (Art Garfunkel's Library) demonstrates the proposed model's efficiency in identifying and classifying favorite books. The experimental findings indicate that LGBM achieves superior performance with an accuracy rate of 94.9367%, outperforming Random Forest and other boosting algorithms. This research highlights the potential of AI-driven solutions in modern libraries through the adoption of machine learning. To the best of our knowledge, this is the first intelligent system designed for automatically identifying and categorizing favorite books in a smart library context.

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 Keywords

Machine Learning, Artificial Intelligence, Smart Library, Light Gradient Boosting Machine (LGBM), Boosting Techniques

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This paper examines the utilization of a Face Security API as a means to enhance security in edge computing environments. With the proliferation of edge computing and the associated challenges of securing distributed systems, incorporating facial recognition technology becomes crucial. By harnessing the capabilities of a Face Security API, this research investigates the potential advantages and obstacles of implementing such mechanisms to safeguard edge computing systems against unauthorized access, data breaches, and malicious activities. The study explores the functionality and limitations of the Face Security API, evaluates its effectiveness within edge computing scenarios, and addresses ethical considerations. Through a comprehensive analysis of existing literature and practical case studies, this research aims to provide valuable insights and recommendations on effectively leveraging the Face Security API to bolster security in edge computing architectures.

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Edge computing, Performance, Face Security API Security, Scalability, Distributed systems, Authentication, Cost, Facial recognition, Privacy, Unauthorized access, IoT, Data breaches, Malicious activities, Ethical considerations, Case studies.

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Raw Abharak grinded pieces taken as a starting material to synthesize Abharak Bhasma(Mica) in powder form.After herbal treatment known multiple incinerations are given at higher temperature (9500C) in natural putta Bhatti (red fire) then then the bhasma is ready for the intended purpose. Meticulous attention has to be provided in use of ayurvedic bhasma preparation in modern time. It is time tested medicine for various diseases. Ayurveda proclaim to be infallible science. This Abharak Bhasma is very useful in treating iron deficiency, act as anti-diabetic, improves cognition. Useful for females to maintain Iron level during menstruation cycle. Naturally helpful to improve immunity.It treats cough and cold,improves heart health. Ashudha Mica powder is initially treated with juice of Ficus amplissima (Pimpri) , Triphala decoction and calotropis leaves used for purification & to remove impurities from it. This herbal juices treatments is known as bhavana. Allopathy medicines can be replaced with mica as iron supplement . Chemically manufactured substances has side effects. Abharak Bhasma synthesized by natural process. The preparation of Abharak Bhasma is followed step by step shodhan, special shodhan and marana. Process of maran is carried out at higher temperature 9500C. The Bhasma formed at 9500C +200C to meet all quality parameters & analysis performed to evaluate quality of bhasma. This way Nishchandra abharak bhasma is prepared by using the appropriate method. Three samples prepared shows consistency in result observations. Advanced analytical instrumentation used to evaluate the quality of Abharak bhasmas such as ICP-OES, FTIR, XRD. The physico chemical tests, Ayurvedic parameters are also analysed to evaluate purity of the product which gives high degree assurance of final product which is used as ayurvedic medicine. There is no side effects or negligible after use of this Bhasma2.

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Keywords: Bhavana, Shodhan, Marana.

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AN EXPERIMENTAL STUDY COMPARING MACHINE LEARNING ALGORITHMS FOR TELECOM CUSTOMER CHURN PREDICTION

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Abstract Grinded Copper pyrite powder taken as a starting material to synthesize Suvarnamakshik Bhasma in powder form. Further purification is followed by using different herbal juice treatments to soften malleability of the metal. After herbal treatment known multiple incinerations are given at higher temperature (6000C) in natural putta Bhatti (red fire) then the bhasma is ready for the intended purpose. This Suvarnamakshik Bhasma is very useful in treating iron deficiency, Anemia, also acts as hematinic. It is essential to maintain daily iron level need in human body. Equally useful in females to maintain Iron level during menstruation cycle. Naturally helpful to improve immunity. The preparation of Suvarnamakshik Bhasma s followed step by step shodhan, special shodhan and marana.Process of maran is carried out at 6000C and 8000C to compare the quality of final product. The Bhasma formed at 6000C found in proper colour & meeting all quality parameters than 8000C. Advanced analytical instruments tools are used to evaluate & assure the quality of Suvarnamakshik bhasmas such as ICP-OES, FTIR, XRD. The physico-chemical tests, ayurvedic parameters are also checked to evaluate purity of the product which gives high degree assurance of final product which is used as ayurvedic medicine. There are no side effects or they are negligible after use of this Bhasma.

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Keywords: Bhavana, Shodhan, Marana.

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This paper examines the increasing prevalence of cyber threats in portfolio management, their impact on investment returns, and the effectiveness of mitigation strategies. The rapid digital transformation in financial services has made portfolio management increasingly vulnerable to cyber risks, including data breaches, ransomware attacks, and phishing schemes. Such threats not only disrupt investment activities but also erode investor confidence and compromise financial performance. Using a mixed-methods approach that combines qualitative interviews, case studies, and quantitative analysis tools such as Chi-Square and ANOVA, this study identifies recurring patterns of cyber risks, evaluates their financial implications, and explores the vulnerabilities they exploit within portfolio management systems. Furthermore, the research assesses the efficacy of existing risk management frameworks and develops robust mitigation strategies tailored to address specific cybersecurity challenges. By providing actionable insights, this paper aims to assist portfolio managers, investors, and policymakers in strengthening cybersecurity resilience and ensuring the stability and integrity of financial markets in an increasingly interconnected digital landscape.

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1. Cybersecurity 2. Portfolio management 3. Mitigation strategies 4. Financial implications 5. Risk management

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Introduction: Recurrent miscarriage or Recurrent Pregnancy Loss (RPL) is defined as two or more consecutive failed clinical pregnancies documented by ultrasound or histopathology and RPL is estimated to occur in 2%-4% of reproductive-age couples. The most commonly identified causes include uterine anomalies, hormonal disorders and genetic abnormalities. Almost half of the causes remain unexplained and are empirically treated using progesterone supplementation, anticoagulation, and/or immunomodulatory treatments. Ayurveda can bring promising results by Shodhana Karma or purificatory procedures ending with Uttara Basti. Case Presentation: The patient in this case had complaint of failure to conceive for 4 years. She had history of 2 abortions and diagnosed with bicornuate uterus in USG at the time of 1st abortion. She turned to Ayurveda at the PTSR Department of ITRA after no conceiving despite allopathic treatment. Management and Outcome: She was managed with Virechana Karma, Dashamooladi Yoga Basti, Madhutailika Basti and Intra Uterine Uttara Basti with Dashamoola Taila and Apamargakshara Taila along with oral medication. The Ayurvedic management resulted in the patient conceiving within 4 months of treatment, patient followed Garbhini Paricharya and delivered a healthy female baby.

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Ayurveda, Repeated Pregnancy Loss, Bicornuate uterus, Virechana, Dashamooladi Yoga Basti, Madhutailika Basti, Uttara Basti

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orZeku le; esa euq'; d s thou Lrj esa vR;f/kd ifjor Zu vk;k gSA bldk Js; lwpuk ,oa lapkj rduhdh dks tkrk gSA vkbZ0lh0Vh0 dk iz;ksx djds f"k{kk dh xq.koRrk ,oa miyC/krk dks Hkh vf/kdre ykHkkfFkZ;ksa rd lqxerk ls igqWpk;k tk ldrk gSA izLrqr "kks/k esa tuin ihyhHkhr ds ek/;fed Lrj esa fo|kfFkZ;ksa dh "kSf{kd miyfC/k ij lwpuk ,oa lapkj rduhdh d s izHkko dk v/;;u djus d s fy, LofufeZr iz"ukoyh dk iz;ksx fd;k x;kA "kks/k dk;Z esa U;kn"kZ gsr q ;kn`fPNr izfrp;u fof/k dk iz;ksx djr s gq, tuin ihyhHkhr ds chlyiqj fodkl [k.M ds ljdkjh o xSj&ljdkjh fo|ky;ksa dk p;u Lrjhd `r U;kn"kZ fof/k ls fd;k x;kA "kks?k dk;Z ls izkIr iznRrksa dk lkaf[;dh; fo"ys'k.k e/;eku] ekud fopyu rFkk t eku dh x.kuk d s vk/kkj ij fd;k x;k gSA "kSf{kd miyfC/k dk r qyukRed v/;;u djus ij fu'd'kZ :Ik esa ik;k x;k gS fd lwpuk ,oa lapkj rduhdh d s iz;ksx ls fo|kfFkZ;ksa dh "kSf{kd miyfC/k esa ldkjkRed izHkko iMrk gSA

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JANPAD PILIBHIT KE MAADHYMIK STAR ME ADHYAYNART VIDHARTHIYO KI SAIKSHIK UPLABDHI PAR SUCHNA EVAM SANCHAR TAKNIKI KE PRABHAV KA ADHYAYAN

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This research addresses the challenge of leaf diseases in plants, which significantly affect global agriculture by reducing crop yield, quality, and food security. The study introduces an innovative method that integrates Convolutional Neural Networks (CNNs) for predicting leaf diseases with recommendations for preventative practices and fertilizer application. A diverse dataset of images, featuring both healthy and diseased leaves, is collected and processed for analysis using a custom-designed CNN model. This model is trained to accurately identify and predict leaf diseases. Additionally, the study offers recommendations for disease prevention, including cultural practices, biological controls, and chemical treatments, tailored to specific diseases and environmental conditions. The research also provides customized fertilizer strategies aimed at enhancing plant immunity and resilience against diseases. Experimental results show the CNN model's effectiveness in disease prediction, while the combined approach of preventative measures and tailored fertilizer use is intended to lower the incidence and severity of diseases. This comprehensive approach supports sustainable agriculture by providing farmers with tools for proactive disease management and promoting resilient crop production systems.

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Deep Learning, Convolutional neural Network, Accuracy

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Cellulitis is a prevalent bacterial skin infection with diffuse swelling, brawny edema. It primarily affects middle-aged and older adults, with no significant difference in incidence between men and women. A 65-year-old man with symptoms such as burning, edema, sensitivity to touch, and discomfort experienced a repertorial investigation and was prescribed Apis Mellifica 200CH. After taking the homeopathic medication, he began to recover, showing improvements in his mental state, reduced swelling, and sensitivity.

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Cellulitis, Edema, Swelling, Homoeopathy.

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