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All Journal Bulletin of Electrical Engineering and Informatics International Journal of Nursing Information
Singh, Amandeep
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Electrical & Electronics Engineering Health Professions Medicine & Pharmacology Nursing Public Health

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A guide for selection of wireless communication technology for effective and robust early forest fire detection system Salaria, Anshika; Singh, Amandeep
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8613

Abstract

The world is facing a major ecosystem crisis due to global warming and pollution. Considering the rate at which the temperatures are rising, one must think about the causes and origins of this extreme environmental shift. Today, countries like India, have cities ranked as some of the most polluted cities in the world. Apart from vehicular traffic and industrial wastes, one of the prime components of the entire problem is forest fires. Burning forests emit tons of harmful gases into the atmosphere. This disaster also leaves drastic aftereffects on the economy and society. Therefore, an efficient system should be designed to monitor the forest fires at the earliest. Highlighting the role of wireless sensor networks in the irregular terrains of forests and considering the technical challenges, it is important to identify, first, the best technology for communication among sensors, in such complex terrains. Second, the identification of an optimization algorithm for the deployment of sensors to achieve maximum coverage This work presents an analysis of state-of-the-art wireless sensor networks to identify a reliable communication technique. Further an optimization algorithm is proposed for maximum coverage with a minimum number of sensors. The algorithm outperforms the other state-of-the-art algorithms in simulation results.
Development and Psychometric Evaluation of the Pediatric Nurse Professional Competence Scale (P-NPCS) for Private Hospitals Kaur, Gurpreet; Kaur, Sukhbir; Singh, Amandeep
International Journal of Nursing Information Vol. 4 No. 2 (2025)
Publisher : Qualitative and Quantitative Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58418/ijni.v4i2.179

Abstract

Pediatric nurses require specialized competencies to meet the unique physiological and psychosocial needs of children, yet context-specific assessment tools remain limited in India, particularly for the private healthcare sector. This study aimed to develop and psychometrically validate the Pediatric Nurse Professional Competence Scale (P-NPCS) among nurses in private hospitals in selected districts of Punjab, India. A methodological research design was adopted, involving 385 pediatric nurses recruited through a non-probability, total enumerative sampling method from nine private hospitals. The development process followed a three-phase approach, including item generation based on a literature review, content validation using a three-round Delphi technique with a panel of 20 nursing experts, and scale evaluation through a pilot study and final data collection. The results of the psychometric evaluation using Confirmatory Factor Analysis supported a refined 51-item, ten-factor model with satisfactory fit indices (χ²/df = 2.93, CFI = 0.93, GFI = 0.92, RMSEA = 0.068). The findings further demonstrated high internal consistency, with composite reliability ranging from 0.78 to 0.86 and Average Variance Extracted exceeding 0.50. While 87% of the nurses demonstrated high overall competence, lower scores were identified in the domains of collaboration and professional development. In conclusion, the P-NPCS stands as a robust and reliable instrument for evaluating pediatric nursing competencies within specialized clinical environments. By offering a culturally and contextually validated tool, this study significantly contributes to the field by enabling structured performance evaluations and targeted professional development strategies, ultimately enhancing the quality of pediatric care in the private healthcare sector.
Co-Authors Kaur, Gurpreet Salaria, Anshika Sukhbir kaur, Sukhbir