7 research outputs found
Brief Overview on Wireless Sensor Network Technologies in the Internet of Things (IoT)
Wireless systems based on IoT-based has evolved rapidly in various sectors. The IoT (Internet of Things) is the network in which physical devices, equipment, sensors and other objects can communicate among themselves without human involvement. The WSN (Wireless Sensor Network) is a central component of the IoT, which has expanded across several different applications in real-time. Various approaches and algorithms for energy-efficient data aggregation in IoT-WSN systems were presented. Wireless Sensor Network technologies play a vital role in enabling the IoT. In this analysis, we delve deep into the essential elements, functionalities, and applications of WSN technologies within the context of IoT. We explore the diverse sensor nodes, communication protocols, and network architectures that constitute WSNs, highlighting their crucial function in gathering, transmitting, and processing data from the physical environment.
The Internet of Things (IoT), which enables seamless connectivity among a variety of physical objects, has completely changed how we interact with the world around us. Wireless Sensor Network (WSN) technologies, which is the central nervous system of this interconnected ecosystem are a fundamental IoT enabler. This paper overview the essential elements, functionalities, and applications of WSN technologies in context of Internet of Things (IoT). We cover the various sensor nodes, communication protocols, and network architectures that make up WSNs in this thorough analysis, highlighting their functions in gathering, transmitting, and processing data from the physical environment. We explore the particular difficulties.
WSN technologies find applications across various domains within the IoT landscape. From smart cities and precision agriculture to healthcare and industrial automation, WSNs play a crucial role in transforming these sectors. We showcase real-world case studies that illustrate the practical implementation and impact of WSNs in these domains, providing concrete examples of their effectiveness. Our goal is to provide you with engaging and content that adds value to your understanding of the Internet of Things and Wireless Sensor Networks
Management of Crop Diseases through Botanical Biopesticides: An Easy Arsenal of Crop Protection in Organic Agriculture
An Exploration of Leadership Challenges in Government Hospitals in India during Health Crisis: - Confab 360 Degree Annual Conference in Dubai, 2025
Introduction: Leadership in Indian government hospitals faces serious challenges during health crises like the COVID-19 pandemic, including bureaucratic delays, resource constraints, and ethical dilemmas in resource usage. These issues are further worsened by federal-state tension, inadequate adaptive competency, and systemic inequities, usually resulting in suboptimal crisis response and burnout. This paper includes a systematic literature review (SLR) for exploring these challenges and dynamics to inform practice and policy. By critically reviewing existing literature, the study focuses on bridging the gap in understanding crisis-specific stressors and general healthcare management problems, highlighting the need for a transformative approach in resource-deficient settings.
Method: The SLR method follows PRISMA guidelines, searching databases such as Scopus, PubMed, and Google Scholar. 17 articles were finally selected to be included in the study following the inclusion and exclusion criteria specified. Major themes were identified from the extensive review of the selected articles.
Results: Three interconnected themes emerged: systemic operational challenges covering sub-themes of resource scarcity and governance delays; leadership styles and competencies, including adaptive deficits and mental health gaps; and policy reforms, which covered decentralisation and training as sub-themes. Sub-themes revealed crisis-specific aggravated challenges, such as rural inequities and burnout, with regional successes like Kerala's (Indian State) adaptive strategies contrasting national hierarchical failures.
Conclusion: The review reveals the importance and need for an evolutionary leadership shift to develop resilience in Indian hospitals. Recommendations include adaptive training, decentralisation, mental health support, global partnerships, and post-crisis evaluations
Mechanical Thrombectomy in Cerebral Venous Thrombosis Systematic Review of 185 Cases
Background and Purpose-Cerebral venous thrombosis is generally treated with anticoagulation. However, some patients do not respond to medical therapy and these might benefit from mechanical thrombectomy. The aim of this study was to gain a better understanding of the efficacy and safety of mechanical thrombectomy in patients with cerebral venous thrombosis, by performing a systematic review of the literature. Methods-We identified studies published between January 1995 and February 2014 from PubMed and Ovid. We included all cases of cerebral venous thrombosis in whom mechanical thrombectomy was performed with or without intrasinus thrombolysis. Good outcome was defined as normal or mild neurological deficits at discharge (modified Rankin Scale, 0-2). Secondary outcome variables included periprocedural complications and recanalization rates. Results-Our study included 42 studies (185 patients). Sixty percent of patient had a pretreatment intracerebral hemorrhage and 47% were stuporous or comatose. AngioJet was the most commonly used device (40%). Intrasinus thrombolysis was used in 131 patients (71%). Overall, 156 (84%) patients had a good outcome and 22 (12%) died. Nine (5%) patients had no recanalization, 38 (21%) had partial, and 137 (74%) had near to complete recanalization. The major periprocedural complication was new or increased intracerebral hemorrhage (10%). The use of AngioJet was associated with lower rate of complete recanalization (odds ratio, 0.2; 95% confidence interval, 0.09-0.4) and lower chance of good outcome (odds ratio, 0.5; 95% confidence interval, 0.2-1.0). Conclusions-Our systematic review suggests that mechanical thrombectomy is reasonably safe but controlled studies are required to provide a definitive answer on its efficacy and safety in patients with cerebral venous thrombosi
Age and Sex Influences Gamma-aminobutyric Acid Concentrations in the Developing Brain of Very Premature Infants
© 2020, The Author(s). Gamma-aminobutyric acid (GABA) and glutamate are principal neurotransmitters essential for late gestational brain development and may play an important role in prematurity-related brain injury. In vivo investigation of GABA in the preterm infant with standard proton magnetic resonance spectroscopy (1H-MRS) has been limited due to its low concentrations in the developing brain, and overlap in the spectrum by other dominant metabolites. We describe early postnatal profiles of in vivo GABA and glutamate concentrations in the developing preterm brain measured by using the J-difference editing technique, Mescher-Garwood point resolved spectroscopy. We prospectively enrolled very preterm infants born ≤32 weeks gestational age and non-sedated 1H-MRS (echo time 68 ms, relaxation time 2000 ms, 256 signal averages) was acquired on a 3 Tesla magnetic resonance imaging scanner from a right frontal lobe voxel. Concentrations of GABA + (with macromolecules) was measured from the J-difference spectra; whereas glutamate and composite glutamate + glutamine (Glx) were measured from the unedited (OFF) spectra and reported in institutional units. We acquired 42 reliable spectra from 38 preterm infants without structural brain injury [median gestational age at birth of 28.0 (IQR 26.0, 28.9) weeks; 19 males (50%)] at a median postmenstrual age of 38.4 (range 33.4 to 46.4) weeks. With advancing post-menstrual age, the concentrations of glutamate OFF increased significantly, adjusted for co-variates (generalized estimating equation β = 0.22, p = 0.02). Advancing postnatal weeks of life at the time of imaging positively correlated with GABA + (β = 0.06, p = 0.02), glutamate OFF (β = 0.11, p = 0.02) and Glx OFF (β = 0.12, p = 0.04). Male infants had higher GABA + (1.66 ± 0.07 vs. 1.33 ± 0.11, p = 0.01) concentrations compared with female infants. For the first time, we report the early ex-utero developmental profile of in vivo GABA and glutamate stratified by age and sex in the developing brain of very preterm infants. This data may provide novel insights into the pathophysiology of neurodevelopmental disabilities reported in preterm infants even in the absence of structural brain injury
