698 research outputs found

    Relationship Between Demographic Variables and Job Outcomes of Clinical Nurses in NABH Accredited Hospitals

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    One of the most important and much-needed services in patient care is nursing. Managing an employee in the hospital industry is difficult, and addressing their requirements is critical. Nurses are crucial in ensuring that the requirements of patients are satisfied. Nurses and the organization's goals both benefit from increased job satisfaction. In this study, clinical nurses working in NABH-accredited hospitals in Tamil Nadu are examined to see how demographic factors such as age, years of service, and designation affect outcomes such as job satisfaction, involvement in the workplace, organisational commitment (attitude), job stress (psychological), and turnover intention (behavioural)

    Characteristics of Chemical Oscillators: Part III -Theory of Oscillatory Reactions

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    Single Phase PV Microinverter based on Interleaved Flyback Inverter

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    In this paper, topology of a Grid connected solar microinverter is proposed. The DC power obtained from the solar panel is converted into a rectified AC signal. This conversion is realized by an Active Clamped Flyback Converter. A full-bridge inverter which switched at a high frequency converts this rectified AC into sinusoidal AC of power frequency and this also controls the power flow direction to the grid. The topology is designed and simulated in PSIM software. The designed output values are verified with the simulated result. DOI: 10.17762/ijritcc2321-8169.150517

    Flux-Force Relationship in Oscillatory Reactions

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    Impact of AI on Healthcare with Specific Reference to Nurses' Education

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    Integrating Artificial Intelligence (AI) in healthcare has revolutionized the industry by enhancing patient care, optimizing clinical workflows, and improving healthcare professionals' education and training. This paper explores the multifaceted impact of AI on healthcare delivery, specifically focusing on its influence on nurse education. AI-driven technologies have ushered in a new era of personalized learning, enabling nurses to acquire essential skills, stay current with medical advancements, and adapt to dynamic healthcare environments. Additionally, AI-powered tools have streamlined administrative tasks, allowing nurses to allocate more time to patient care. However, this transformation has challenges, including concerns about job displacement, data privacy, and the need for effective AI curriculum integration. This abstract provides a glimpse into the broader discussion surrounding AI's role in healthcare delivery and its implications for nurse education, highlighting its promises and challenges in shaping the future of nursing practice

    Isolated oligohydramnios: effects on obstetric and perinatal outcome

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    Background: Outcome of oligohydramnios has been studied at a large. Varying results have been projected in each study. This study has been done to establish the obstetric and perinatal outcome in pregnancy associated with oligohydramnios as compared to women with normal liquor.Methods: This was a prospective case controlled study done which included 100 women with oligohydramnios who were compared with 100 women with normal liquor. Maternal and perinatal outcome was compared between the two groups.Results: There was a significant difference in the obstetric and perinatal outcomes among the study and control groups. Significant variation was seen in the obstetric outcome with regards to the incidence of induction of labor and mode of delivery (by caesarean section). Both were increased among the study group as compared to the control group. CTG changes, meconium stained liquor, neonatal admissions and observations were more among the study group as compared to control group.Conclusions: Athough there is an increased rate of caesarean section, NICU admission and observation, thick meconium stained liquor and NST changes there is no significant increase in the perinatal morbidity and mortality

    Potential anti-seizure activity of atorvastatin in rat models of seizure

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    Background: Atorvastatin belongs to the class of Hypolipidemic statins. Increasing evidence indicates that statins are neuroprotective in several conditions, including stroke, cerebral ischemia and traumatic brain injury. However, only scanty and controversial reports are available on anticonvulsant action of statins. The present study therefore aims at exploring the influence of atorvastatin on seizures as compared to standard anticonvulsants phenytoin and sodium valproate in Wistar rats.Methods: Rats were divided into 8 groups (n=6), each treated intraperitoneally (i.p) with atorvastatin, phenytoin or sodium valproate in their therapeutic equivalent doses. Their effects were evaluated on seizures induced by maximum electroshock seizure (MES) and pentylenetetrazole (PTZ). Hind limb extension (HLE) in MES model, number of seizures, duration of seizure, number of myoclonic jerks and time for onset as well as recovery from seizures in PTZ model were monitored. Statistical analysis was done using Kruskal-Wallis ANOVA and Mann-Whitney U test for significance.Results: Atorvastatin failed to protect rats against HLE in MES seizure model. However, atorvastatin significantly prolonged seizure onset time (p<0.0547), decreased seizure number (p<0.0082), seizure duration (p<0.0547) and recovery time (p<0.0040) in PTZ model indicating its potential antiepileptic activity in PTZ model.Conclusions: Atorvastatin exhibited protection against seizures only in PTZ seizure model. Hence, it could possess anti absence seizure activity. This needs to be established with further systematic animal and clinical studies
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