Amita Yadav

Correlation between hepcidin and iron profile in diabetic and non-diabetic chronic kidney disease—an observational comparative study

Chirag Patel, Vinod Chaitanya, Himanshu Verma, Amita Yadav et autres

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Effect of amlodipine and telmisartan on bone metabolism markers in newly diagnosed hypertensive patients

Kamlesh Garg, Perumal Raveendranath, Sameer Gulati, Sufian Zaheer et autres

Hypertension may adversely affect bone health, but the skeletal effects of commonly prescribed antihypertensive drugs remain inadequately u nderstood. In this 24-week prospective study, 96 newly diagnosed Stage I hypertensive patients received either Amlodipine (5-10 mg) or Telmisartan (40-80 mg), with serial …

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DIABETES MELLITUS PREDICTION FRAMEWORK USING ARTIFICIAL NEURAL NETWORK MODELS

Mona Adlakha, M. Afshar Alam, Sherin Zafar, Sameena Naaz et autres

With increased occurrence of diabetes mellitus, novel mechanisms for its early and precise detection, and strategies for its control are required.The disease poses increased risk of the onset of cardio-vascular and kidney ailments, among others, and when uncontrolled, may prove lethal.This study …

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Methodological implementation of machine learning for optimized powder bed fusion in additive manufacturing

Kiran Gulia, Pranav Kumar, Shashank Jain, Amita Yadav et autres

The convergence of artificial intelligence (AI) and additive manufacturing (AM) presents a transformative opportunity to enhance sustainability in manufacturing, particularly through material circularity. This research investigates the integration of machine learning (ML) techniques with powder bed fusion (PBF) AM processes, focusing on …

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Advancing sustainable biotechnology through CRISPR-Cas applications in crop protection natural product discovery and pharmacy

Himanshu Saini, Jyoti Yadav, Amita Yadav, Sharad Sachan et autres

The convergence of genome editing and sustainability has positioned CRISPR-Cas technologies as transformative tools across agriculture and pharmacy. In crop protection, CRISPR-based diagnostics and resistance breeding are advancing sustainable strategies to mitigate plant diseases, reduce chemical pesticide use, and enhance food security. …

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Determinación del efecto del error de medición utilizando un estimador de tipo factor en muestreo bifásico

Amita Yadav, Narendra Singh Thakur, Sarla Pareek

In this study, factor-type estimator is used for estimating the finite population mean under two-phase sampling scheme in the presence of measurement error. The Bias and Mean Squared Error (MSE) of factor-type estimator are derived in this paper and compared with the …

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Determination of the Effect of Measurement Error using Factor Type Estimator in Two Phase Sampling

Amita Yadav, Narendra Singh Thakur, Sarla Pareek

In this study, factor-type estimator is used for estimating the finite population mean under two-phase sampling scheme in the presence of measurement error. The Bias and Mean Squared Error (MSE) of factor-type estimator are derived in this paper and compared with the …

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Surgical implications of rheumatic heart disease in Indian females

Abha Chandra, Ramasubramanyam Gutti, Anula Sisodia, Amaresh Rao Malempati et autres

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A BIBLIOMETRIC ANALYSIS ON THE ROLE OF ARTIFICIAL INTELLIGENCE-ENABLED RECRUITMENT TOWARDS SUSTAINABILITY: TRENDS AND FUTURE DIRECTIONS

Amita Yadav, Ashutosh Nigam

Purpose: By increasing productivity, decreasing bias, and promoting long-term workforce development, artificial intelligence (AI) in sustainable recruitment is revolutionizing talent acquisition. For HR experts, job seekers, employees, and AI developers, this study offers a thorough bibliometric review of AI-driven hiring processes. Through …

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Mean Estimation Using Factor Type Estimator in Presence of Measurement Errors in Systematic Sampling

Amita Yadav, Sarla Pareek, Narendra Singh Thakur

This article proposes estimation of population mean using factor-type (F-T) estimator in the presence of measurement errors under systematic sampling scheme. The factor-type (F-T) estimator is biased and the expression of bias, MSE and optimum MSE of proposed estimator is obtained up …

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Navigating AI Adoption in Recruitment for Driving Organizational Performance: A Systematic Literature Review

Amita Yadav, Ashutosh Nigam

Purpose:In the dynamic and technology-driven era one cannot ignore the role of Artificial intelligence and its integration into numerous human resource practices,especially recruitment. It seeks to investigate the impact of AI adoption on the performance of organizations. AI-enabled recruitment demonstrates a vital …

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ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING

Navdeep Bohra, Deepti Deshwal, Ashish Kumari, Amita Yadav et autres

The ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content. In addition, this study incorporates advanced topic modeling techniques to enhance the understanding of hidden …