44 research outputs found

    Energy Efficient Approach for Multi-level Routing in Wireless Sensor Networks

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    The wireless sensor network is the decentralized kind of network which allows sensor nodes to join or leave the network according to their wish. The implementation of sensor network is done at far places, and they are small sized. Thus, energy consumption becomes the main issue of WSN. The data, whose collection is done from the aimed environment, is transmitted directly to the main station due to the restricted energy of sensor nodes. The sink node receives the data transmitted from various sensor nodes. The decision-making process is deployed by recognizing and eliminating the similarity among the data of diverse sensor nodes. In addition, the sink makes the deployment of obtained data locally as well as transmits these data to the networks which are executed far away. The existing research work employs CTNR, an energy efficient protocol that is capable of enhancing the duration of WSN.  The CTNR protocol is consisted of two-level hierarchies for mitigating the energy consumption of wireless sensor network. The CTNR protocol selects the CHs (cluster heads) in the network based on the distance and energy. This research work will focus on enhancing the CTNR routing algorithm so as the life span of network can be prolonged

    KFREAIN: Design of A Kernel-Level Forensic Layer for Improving Real-Time Evidence Analysis Performance in IoT Networks

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    An exponential increase in number of attacks in IoT Networks makes it essential to formulate attack-level mitigation strategies. This paper proposes design of a scalable Kernel-level Forensic layer that assists in improving real-time evidence analysis performance to assist in efficient pattern analysis of the collected data samples. It has an inbuilt Temporal Blockchain Cache (TBC), which is refreshed after analysis of every set of evidences. The model uses a multidomain feature extraction engine that combines lightweight Fourier, Wavelet, Convolutional, Gabor, and Cosine feature sets that are selected by a stochastic Bacterial Foraging Optimizer (BFO) for identification of high variance features. The selected features are processed by an ensemble learning (EL) classifier that use low complexity classifiers reducing the energy consumption during analysis by 8.3% when compared with application-level forensic models. The model also showcased 3.5% higher accuracy, 4.9% higher precision, and 4.3% higher recall of attack-event identification when compared with standard forensic techniques. Due to kernel-level integration, the model is also able to reduce the delay needed for forensic analysis on different network types by 9.5%, thus making it useful for real-time & heterogenous network scenarios

    Post-operative wound infiltration with dexmedetomidine and magnesium sulphate as adjuvant to levobupivacaine for lumbar laminectomy: a prospective, double blinded, randomized controlled study

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    Background: Wound infiltration with local anaesthetic is safe and effective technique for providing postoperative analgesia following lumbar laminectomy. The objective of this study was to compare the efficacy of local wound infiltration on postoperative analgesia with levobupivacaine, levobupivacaine plus magnesium sulphate and levobupivacaine plus dexmedetomidine in patient undergoing lumbar laminectomy.Methods: Ninety adult patients were randomly allocated into three groups. After the completion of lumbar laminectomy, the drug was locally infiltrated into the paravertebral muscles on either side. Group L received 10 ml of 0.5% levobupivacaine plus 10 ml normal saline, group LM received 10 ml of 0.5% levobupivacaine plus 500 mg magnesium sulphate (1 ml) plus 9 ml normal saline, group LD received 10 ml of 0.5% levobupivacaine plus 50 µg dexmedetomidine (0.5 ml) plus 9.5 ml normal saline. Postoperative visual analogue scale (VAS) pain score at 0, 1, 2, 4, 6, 8, 12 and 24 hours, time to first rescue analgesic drug and its total dose, quality of recovery score (QoR) and side effects were noted.Results: Postoperative VAS was significantly higher in group L as compared to group LM and LD (p<0.05). The time to first rescue analgesic drug was significantly longer in group LD (11.07±7.20 hr) than group LM (6.20±2.64 hr) and group L (3.93±2.70 hr) (p<0.001). The QoR score was significantly better in group LD as compared to group LM and L postoperatively (<0.01).Conclusions: Addition of magnesium sulphate or dexmedetomidine to levobupivacaine for local wound infiltration demonstrated enhanced postoperative analgesia.

    Comparative analysis of injection clonidine and injection dexmedetomidine added to injection bupivacaine for spinal anaesthesia in lower abdominal surgeries

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    Background:Efficacy of sub-arachnoid block can be improved by addition of various adjuvants to local anesthetics. Intrathecal administration of clonidine or dexmedetomidine has improved the quality of spinal anesthesia in terms of longer duration of post-operative analgesia with comparatively lesser side effects. In present study we compared the onset and duration of motor and sensory block, hemodynamic effects, post-operative analgesia and adverse effects of clonidine and dexmedetomidine used intrathecally with bupivacaine.Methods: Present study was conducted in 150 patients (ASA class I and II) undergoing lower abdominal surgeries. Patients were randomly divided into three group’s viz. B, C and D. Group B received bupivacaine (12.5 mg), group C received clonidine (30 µg) with bupivacaine and group D received dexmedetomidine (5 µg) with bupivacaine. Volume of administered drug was set at 3ml in all the groups. The onset time to reach peak sensory and motor block level, regression time to sensory and motor block, hemodynamic changes and side effects if any were assessed and recorded.Results: In our study we observed that there was no significant difference in patient demography and duration of surgical procedure. The time to onset of sensory blockage was similar in all the three groups but time to onset of motor block was shorter in group C and D compared to group B. Total duration of sensory and motor block was significantly higher in group D compared to group C and B. The duration of sensory block in group D was 139.58+14.49, in group C it was 122.46+18.55 and in group B it was 100+13.43 minutes. The duration of motor block in group D was 250.40+27.33, in group C it was 229.28+23.68 and in group B it was 175.64+17.41 minutes.Conclusions: It was concluded that though both clonidine and dexmedetomidine prolonged duration of sensory and motor block of Bupivacaine, Dexmedetomidine is better in terms of longer duration of action.

    Incipient primary biliary cirrhosis/autoimmune hepatitis overlap or hepatitic form of primary biliary cirrhosis: a case report

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    A 42 year old asymptomatic female detected as incipient Primary Biliary Cirrhosis/Autoimmune Hepatitis overlap during routine checkup. The biochemical profile showed evolution from a mildly deranged liver function test in 2004 along with increased erythrocyte sedimentation rate to a 4 times elevation of alkaline phosphatase in 2006 with mildly deranged alanine transaminase. Autoimmune markers demonstrable were Anti mitochondrial antibody M2 and sp100. Histopathology showed dual features, dominant findings were of autoimmune heptatitis. Features consistent with Primary Biliary Cirrhosis were minimal with an occasional portal tract showing paucity of bile ducts and occasional bile duct proliferation. Human leucocyte antigen DR/DQ genotype was as follows: DRB1*03, DRB1*07, DQB1*02, DQB1*04

    Th17/IL-17, Immunometabolism and Psoriatic Disease: A Pathological Trifecta

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    The burgeoning arena of immunometabolism provides evidence of how cellular, as well as local (tissue)/systemic metabolic pathways, are playing an important role in controlling immunity and inflammation. An intricate and elaborate network of various metabolic circuits specifically glycolysis, fatty acid oxidation and synthesis and amino acid metabolism precisely generate metabolites that rewire the immune response. Psoriasis is a chronic progressive self-perpetuated “IL-17-centric” inflammatory disease characterized by the co-existence of autoimmune and autoinflammatory pathways. Metabolic responses, governed by oxygen levels, nutrient availability, growth factors, cytokines, AMP/ATP ratios and amino acids, play a pivotal role in programming Th17 cell fate determination. Understanding the intricate interactions and complex interplay of molecular mechanisms responsible for Th17 cell metabolic rewiring, an important determinant of Th17 cell plasticity and heterogeneity, holds the potential to reshape psoriatic therapeutics in ways currently unimagined. This chapter entails with most recent updates on major cellular and systemic metabolic pathways regulating differentiation of Th17 cells as well their cross-talk with intracellular signaling mediators and also sheds light on how dysregulation of these pathways can be responsible for immune impairment and development of psoriatic disease. A better understanding of these metabolic processes could unveil an intriguing leverage point for therapeutic interventions to modulate metabolic programming and Th17 cell responses in this multi-systemic inflammatory disease

    The Cellular Stress Response Interactome and Extracellular Matrix Cross-Talk during Fibrosis: A Stressed Extra-Matrix Affair

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    Diverse internal and external pathologic stimuli can trigger cellular stress response pathways (CSRPs) that are usually counteracted by intrinsic homeostatic machinery, which responds to stress by initiating complex signaling mechanisms to eliminate either the stressor or the damaged cells. There is growing evidence that CSRPs can have context-dependent homeostatic or pathologic functions that may result in tissue fibrosis under persistence of stress. CSRPs can drive intercellular communications through exosomes (trafficking and secretory pathway determinants) secreted in response to stress-induced proteostasis rebalancing. The injured tissue environment upon sensing the stress turns on a precisely orchestrated network of immune responses by regulating cytokine-chemokine production, recruitment of immune cells, and modulating fibrogenic niche and extracellular matrix (ECM) cross-talk during fibrotic pathologies like cardiac fibrosis, liver fibrosis, laryngotracheal stenosis, systemic scleroderma, interstitial lung disease and inflammatory bowel disease. Immunostimulatory RNAs (like double stranded RNAs) generated through deregulated RNA processing pathways along with RNA binding proteins (RBPs) of RNA helicase (RNA sensors) family are emerging as important components of immune response pathways during sterile inflammation. The paradigm-shift in RNA metabolism associated interactome has begun to offer new therapeutic windows by unravelling the novel RBPs and splicing factors in context of developmental and fibrotic pathways. We would like to review emerging regulatory nodes and their interaction with CSRPs, and tissue remodeling with major focus on cardiac fibrosis, and inflammatory responses underlying upper airway fibrosis

    Lichen planus: A clinical and immuno-histological analysis

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    Background: Direct immunofluorescence examination is an important technique in the diagnosis of cutaneous inflammatory disorders including lichen planus, especially in clinically and histopathological doubtful cases. Objective: To study the diagnostic utility of intensity, number, and subtypes of positive immuno-reactants found in lichen planus. Materials and Methods: A detailed analysis of clinical as well as immuno-histological features of lichen planus cases was carried out. Results: The male to female ratio was 1:1.1. The largest number of patients was in 31-50 year age group. Itching was the most common presenting symptom. Papular lesions were seen in 53% cases. Remaining had hypertrophic (6), follicular (3) and mucosal (9) variants. Clinico-pathological discrepancies were observed in 3 patients. The characteristic histopathological changes including basal cell vacuolization, band-like lymphocytic infiltrate at dermo-epidermal junction were seen in all the biopsies while Civatte bodies were detected in 29% cases. The overall positive yield of direct immunofluorescence microscopy was 55%. Immune deposits at Civatte bodies and dermo-epidermal junction were detected in 47% and 8% of cases, respectively. Immunoglobulin M was the most common immunoreactant followed by immunoglobulin G. Conclusions: There was no correlation found between the number and intensity of Civatte bodies with clinical variants of disease and also between the number of positive immunoreactants and clinical severity of the disease. The frequency, number, and arrangement of Civatte bodies in clusters in the papillary dermis as well as multiple immunoglobulins deposition at the Civatte bodies on direct immunofluorescence of skin biopsies are important features distinguishing lichen planus from other interface dermatitis
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