84 research outputs found

    Dynamic Super Round Based Distributed Task Scheduling for UAV Networks

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    Networks of Unmanned Aerial Vehicles (UAVs) are emerging in many application domains, e.g., military surveillance. To perform collaborative tasks, the involved UAVs exchange several types of information, e.g., sensor data and commands. The major question here is how to schedule the tasks under dynamic traffic flows to provide network services. Existing solutions use the Round-Robin Strategy (RRS), where the tasks are scheduled statistically by dividing the time into fixed-length rounds. However, the RRS wastes significant network and device resources due to task scheduling in each round. This paper proposes DROVE – a novel clustering approach that allows the UAVs for dynamic task scheduling. However, determining the task scheduling is crucial, as it significantly affects several network parameters, e.g., throughput. Therefore, we devise the problem of distributed task scheduling under dynamic traffic flow scenarios to optimize the throughput. We propose a clustering task scheduling algorithm to serve dynamic traffic flows. Particularly, we integrate the dynamic traffic flows into the Lyapunov drift analysis framework, and determine the throughput optimality of our proposed scheduling algorithm. We perform extensive simulations to validate the effectiveness of DROVE. The results show that DROVE outperforms the state-of-the-art solutions in terms of energy consumption, clustering overhead, throughput, end-to-end delay, flow success rate and packet drop rate. </p

    Detection and significance of human epidermal growth factor receptor 2 expression in gastric adenocarcinoma

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    Background: Human epidermal growth factor receptor 2 (HER2) is involved in the pathogenesis of several types of cancer, including gastric cancer. Overexpression of HER2 is noted in 10%–22.8% of gastric adenocarcinoma and its identification is of immense importance for management by targeted drugs. Detection of HER2 expression in gastric malignancies has not been undertaken previously in the local population. Objective: To ascertain HER2 immunohistochemical expression in gastric adenocarcinoma and its relationship with the anatomic location and histomorphology. Materials and Methods: A total of 47 cases of gastric adenocarcinoma diagnosed over 2 years constituted the study group. Clinical history, type of operation, gross morphology, and hematoxylin and eosin (H and E) stained sections were reviewed. Two paraffin blocks were selected, immunostain was performed using rabbit monoclonal HER2 antibody and Hoffmann scoring system was applied. Results: Most of gastric carcinomas occurred in male (42 cases), having a mean age of 53.6 years. A total of eight cases (17.1%) had expressed a score of 3+ HER2 positivity. All positivity was noted in intestinal type according to Lauren classification (25%) and none in diffuse type. All HER2 score of 3+ was noted in histological grade of well and moderately differentiated adenocarcinoma. Score 2+ was noted in seven cases, among them, only two were poorly differentiated gastric adenocarcinoma. Conclusion: HER2 overexpression was noticeably associated with an intestinal subtype, and well and moderately differentiated adenocarcinomas. Such cases of gastric adenocarcinoma are considered for targeted therapy with trastuzumab in the local population

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    The Ca2+-sensor synaptotagmin-1 that triggers neuronal exocytosis binds to negatively charged membrane lipids (mainly phosphatidylserine (PtdSer) and phosphoinositides (Ptdlns)) but the molecular details of this process are not fully understood. Using quantitative thermodynamic, kinetic and structural methods, we show that synaptotagmin-1 (from Rattus norvegicus and expressed in Escherichia coli) binds to Ptdlns(4,5)P-2 via a polybasic lysine patch in the C2B domain, which may promote the priming or docking of synaptic vesicles. Ca2+ neutralizes the negative charges of the Ca2+-binding sites, resulting in the penetration of synaptotagmin-1 into the membrane, via binding of PtdSer, and an increase in the affinity of the polybasic lysine patch to phosphatidylinositol-4,5-bisphosphate (PtdIns(4,5)P-2). These Ca2+-induced events decrease the dissociation rate of synaptotagmin-1 membrane binding while the association rate remains unchanged. We conclude that both membrane penetration and the increased residence time of synaptotagmin-1 at the plasma membrane are crucial for triggering exocytotic membrane fusion

    Differentiating biliary atresia from other causes of infantile cholestasis: An appraisal of the histomorphological changes on liver biopsy

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    Background: Cholestatic disorders are a significant cause of morbidity and mortality in infants. Characterization of these disorders and differentiating biliary atresia (BA) from other causes of intrahepatic cholestasis is an age-old problem. Objectives: To study the spectrum of different infantile cholestatic disorders in our population, to differentiate BA from other causes of neonatal cholestasis (NC) on a liver biopsy, and validation of the available scoring system for the characterization of these disorders. Materials and Methods: This is an observational cross-sectional study performed over a period of 3 years between 2018 and 2021, done on neonates and infants presenting with cholestatic jaundice. The changes on liver biopsy were evaluated by different histological parameters and available scoring systems to differentiate BA from non-BA causes. Correlation with clinical, biochemical, and imaging findings was done in all cases. Results: This study included 87 cases of NC, of which BA comprised 28 cases (32%), whereas idiopathic neonatal hepatitis (INH) comprised only 12 cases (14%). Portal neutrophilic inflammation (P = 0.000053), ductal cholestasis (P < 0.001), neoductular bile plugs (P < 0.001) and bile ductular proliferation (P < 0.0001) were significantly more in BA, whereas lobular lymphocytic inflammation (P = 0.001) and giant cell transformation of hepatocytes (P = 0.0024) were more frequent in the non-BA group. Using the Lee and Looi scoring system, a histologic score ≥7 was helpful in identifying BA with 85.7% sensitivity, 92.6% specificity, and 90.6% accuracy. Conclusion: BA is the commonest cause of NC in neonates, whereas the frequency of INH is declining. Detailed histomorphologic analysis of liver biopsy, aided with IHC, is the cornerstone for the diagnosis of these disorders

    Polypoid multifocal ileo-colonic amyloidoma masquerading malignancy - A rare case report

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    Amyloidosis is a group of disorders characterized by extracellular deposition of a proteinaceous homogenous eosinophilic hyaline&nbsp;substance known as amyloid. Congo red staining is a specific stain for amyloid which shows an apple-green birefringence on polarized&nbsp;microscopy. Amyloid deposition can be systemic or localized. Primary amyloidosis (also known as AL amyloidosis) is the most common&nbsp;form of amyloidosis characterized by generalized deposition of excess immunoglobulin light chains. It is associated with an underlying&nbsp;plasma cell dyscrasia and has the maximum gastrointestinal (GI) involvement. Secondary amyloidosis is characterized by deposition&nbsp;of acute-phase reactant - serum amyloid A protein (also known as AA amyloidosis) and it is associated with infectious, inflammatory,&nbsp;or less commonly, neoplastic disorders. Renal dysfunction is the most common symptom of AA amyloidosis at diagnosis. Amyloidosis&nbsp;presenting as a localized mass is known as amyloidoma. Amyloidoma of the GI system is a rare finding in the absence of any systemic&nbsp;involvement. We report a rare case of localized multifocal polypoid amyloidoma in the lower GI tract, which masquerades as malignancy.&nbsp

    Seismic Damage Evaluation of Gravity Load Designed Low Rise RC Building Using Non-linear Static Method

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    AbstractIn India, the 2001 Bhuj earthquake has given a serious warning to many existing reinforced concrete (RC) buildings. However, a considerable portion of the building stock of India is reinforced concrete buildings which are generally designed mainly for gravity loads only. Therefore, potential seismic evaluation of these buildings, especially in high seismic region, is very essential in order to implement any kind of seismic hazard mitigation strategy. Hence, the present study aims to evaluate the seismic vulnerability of low rise RC frame building which is designed for gravity load according to the Indian code. The non-linear static analysis is performed using SAP2000 (v16) to find the capacity curve of the building. Fragility analysis is used to develop the fragility curve for different damage grade based on HAZUS methodology. Damage probability matrices (DPM) are formed for two different seismic hazard levels i.e. for maximum considered earthquake and design basis earthquake depending on the performance point to compare the damage state for each hazard level. The result shows that the damage of considered building is vary from moderate to severe damage state to the corresponding different seismic hazard level
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