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All Journal International Journal of Evaluation and Research in Education (IJERE) Journal of the Indonesian Mathematical Society Bali Journal of Anesthesiology International Journal of Business, Law and Political Science
Singh, Priyanka
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Economics, Econometrics & Finance Education Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Social Sciences Other

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Comparative evaluation of low-dose levobupivacaine and ropivacaine in patients undergoing inguinal herniorrhaphy under walking spinal anaesthesia as daycare surgery Singh, Priyanka; Kapur, Anu; Gupta, Sanjay Kumar
Bali Journal of Anesthesiology Vol 3, No 2 (2019)
Publisher : DiscoverSys Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (10.114 KB) | DOI: 10.15562/bjoa.v3i2.167

Abstract

Background: Ropivacaine and levobupivacaine possess the property of sensory-motor dissociation. Hence these drugs allow a faster recovery of motor function and hence, these are potentially useful agents for walking spinal anaesthesia in daycare surgeries.Patients and Methods: This is a prospective, double-blind, randomized study involving 120 adult ASA 1 and 2 patients who were randomly allocated into two groups. Group R (n = 60) received 7.5 mg 0.75% ropivacaine + 25 ?g fentanyl + 1.5 ml sterile water. Group L (n = 60) received 5 mg 0.5% levobupivacaine + 25 ?g fentanyl + 1.5 ml sterile water. Each solution was made to a total volume of 3 ml, administered intrathecally. Sensory and motor block characteristics, hemodynamic changes and postoperative recovery profile characteristics were noted. Paired/unpaired t-test and chi-square test were used wherever applicable for statistical analysis using SPSS version 15.0. Results: Sensory block onset time and time to reach the maximal cephalic spread were comparable in both the groups, whereas time to the two-segment regression and time to first analgesic requirement were significantly shorter in group RF. Out of 60 patients in each group, 59 patients in group RF and 57 patients in group LF were MBS grade 5. Time to home discharge was also significantly shorter in group RF.Conclusion: We concluded that both local anaesthetics could be used in the walking spinal technique; however, ropivacaine is preferred because of its favourable block characteristics and early ambulation time.
Dynamic Pricing Policy Using Preservation Technology with Stock and Price Sensitive Demand Khedlekar, Uttam Kumar; Singh, Priyanka; Gupta, Neelesh
Journal of the Indonesian Mathematical Society VOLUME 26 NUMBER 3 (NOVEMBER 2020)
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.26.3.781.266-274

Abstract

This paper aims to develop a dynamic pricing policy for deteriorating items with price and stock dependent demand. In declining market demand of items decreases with respect to time and also after a duration items get outdated. In this situation it needs a pricing policy to sale the items before end season. The proposed dynamic pricing policy is applicable for a limited period to clease the stock. Policy decision regarding the selling price could aggressively attracts the costumers. Objectives are to maximize the prot/revenue, pricing strategy and economic order level for such a stock dependent and price sensitive items. We are giving numerical example and simulation to illustrate the proposed model.
An exploratory study on perceived online learning experience of university students during the COVID-19 pandemic Singh, Priyanka; P. J., Shyju; Ranjan, Ranjeeva; Dubey, Binayak Kumar; Singh, Chandra Shamsher Bahadur
International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v13i1.26009

Abstract

The COVID-19 pandemic accelerated the pace of online learning amidst the health crisis unprecedentedly. Students worldwide witnessed the transition of the education system from physical classes to virtual mode and adapted themselves to accommodate the challenges and sustain the learning process. This study was carried out to understand the emotional factors and student engagement in various activities during the pandemic and to examine the perceived learning experience. The present study explored the perceived experience of university students in online learning in India. The study used a survey method and data was collected using a structured questionnaire. Results showed that students adapted to online education in the later phase better than the initial stage. The study reported increased stress levels among students. A two-way group analysis of selected variables (gender, age, stress, and loneliness) on perceived learning issues demonstrated significant results. The study’s findings revealed students’ experiences in online learning practice and develop the scope for further discussions to improve the learning process in online settings.
DEVELOPMENT OF AI-DRIVEN PREDICTIVE ANALYTICS SYSTEMS TO IMPROVE SUPPLY CHAIN RESILIENCE AND STRENGTHEN THE STABILITY OF CRITICAL U.S. INDUSTRIES Singh, Priyanka; Patel, Mulayam Singh
International Journal of Business, Law and Political Science Vol. 2 No. 12 (2025): International Journal of Business, Law and Political Science
Publisher : PT. Antis International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijblps.v2i12.461

Abstract

Objective: This paper presents a comprehensive framework for developing AI-driven predictive analytics systems designed to enhance supply chain resilience in critical U.S. industries. Method: The proposed methodology integrates machine learning algorithms with real-time data processing capabilities to forecast disruptions, optimize inventory management, and strengthen supply chain stability. Results: Our experimental results demonstrate significant improvements in demand forecasting accuracy (up to 23%) and reduction in supply chain disruption response time by 35%. Novelty: The findings contribute to the growing body of knowledge on intelligent supply chain management and provide practical insights for industry practitioners seeking to leverage AI technologies for operational excellence.
Co-Authors Dubey, Binayak Kumar Gupta, Neelesh Gupta, Sanjay Kumar Kapur, Anu Khedlekar, Uttam Kumar P. J., Shyju Patel, Mulayam Singh Ranjan, Ranjeeva Singh, Chandra Shamsher Bahadur