762 research outputs found

    Dyspnea Experience and Dyspnea Management in Patients with Chronic Obstructive Pulmonary Disease in Bangladesh

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    Purpose: This study aimed to evaluate dyspnea experience and dyspnea management intervention used by Chronic Obstructive Pulmonary Disease (COPD) patients in Bangladesh.Methods: A descriptive cross-sectional design was used. The symptom management model developed by Dodd et al. was used to guide the study. Data were collected from 140 COPD patients by using self-report questionnaire. Descriptive statistics was used to analyze the data.Results: The patients perceived dyspnea difficulty within the past 24 hours and within the past 7 days at moderate level. The most used dyspnea management methods included bronchodilators, leaning forward position, and keeping still. The patients perceived bronchodilators as somewhat effective method and perceived leaning forward position as quite a bit effective method in reducing dyspnea.Conclusion: The study could guide nurses to promote dyspnea management intervention for COPD patients in Bangladesh, in order to enhance higher quality of life

    Physiological Changes and Blood Flow in Murrah Buffaloes during Summer and Winter Season

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    Present study was designed to investigate the changes in physiological reactions and blood flow during different seasons in Murrah buffaloes. Six Murrah buffalo heifers of 18-24 months were selected as experimental animals. The respiration rate (RR), heart rate (HR) and blood pressure was measured through BPL-Excello multi parameter monitor. Rectal temperatures were recorded with electronic thermometer. Skin surface temperatures at the different body sites were recorded using infrared thermometer (Metravi MT-2). The blood flow was measured on Perimed Multichannel Laser Doppler system using skin perfusion probe 408 at dorsal region, abdomen region and middle ear. Results showed a significant difference for respiration rate (P<0.001); rectal temperature (P<0.05) and heart rate (P<0.001) during summer and winter season. The mean blood pressure was 93.74/186.36 mmHg in summer and 97.40/198.08 mmHg in winter, respectively. In the present experiment, both diastolic and systolic pressure differed significantly (P<0.001) during different seasons. The mean skin surface temperature in summer was 37.03Β±0.39, 36.12Β±0.27 and 33.15Β±0.98Β°C at dorsal, abdomen and middle ear, respectively; whereas, during winter it was 29.87Β±0.69, 29.92Β±0.40 and 23.82Β±1.12Β°C at dorsal, abdomen and middle ear, respectively. The skin surface temperature among the different parts of the body differed significantly (P<0.001). During summer, the mean blood flow was 4.71Β±0.49, 14.85Β±1.63 and 16.72Β±1.47 PU; whereas, during winter, it was low, 1.10Β±0.16, 8.96Β±0.58 and 12.16Β±0.95 PU at dorsal, abdomen and middle ear, respectively. The difference in the blood flow among the different parts of the body differed significantly (P<0.001) in summer and winter. The results indicated that blood flow was positively correlated with temperature of the body parts and it varied in different seasons. This study concluded that, summer stress evokes a series of physiological changes in the Murrah buffalo's, which affects production during summer season

    PEG Branched Polymer for Functionalization of Nanomaterials with Ultralong Blood Circulation

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    Nanomaterials have been actively pursued for biological and medical applications in recent years. Here, we report the synthesis of several new poly(ethylene glycol) grafted branched-polymers for functionalization of various nanomaterials including carbon nanotubes, gold nanoparticles (NP) and gold nanorods (NRs), affording high aqueous solubility and stability for these materials. We synthesize different surfactant polymers based upon poly-(g-glutamic acid) (gPGA) and poly(maleic anhydride-alt-1-octadecene) (PMHC18). We use the abundant free carboxylic acid groups of gPGA for attaching lipophilic species such as pyrene or phospholipid, which bind to nanomaterials via robust physisorption. Additionally, the remaining carboxylic acids on gPGA or the amine-reactive anhydrides of PMHC18 are then PEGylated, providing extended hydrophilic groups, affording polymeric amphiphiles. We show that single-walled carbon nanotubes (SWNTs), Au NPs and NRs functionalized by the polymers exhibit high stability in aqueous solutions at different pHs, at elevated temperatures and in serum. Morever, the polymer-coated SWNTs exhibit remarkably long blood circulation (t1/2 22.1 h) upon intravenous injection into mice, far exceeding the previous record of 5.4 h. The ultra-long blood circulation time suggests greatly delayed clearance of nanomaterials by the reticuloendothelial system (RES) of mice, a highly desired property for in vivo applications of nanomaterials, including imaging and drug delivery

    Nuclear recoil response of liquid xenon and its impact on solar 8B neutrino and dark matter searches

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    Knowledge of the ionization and scintillation responses of liquid xenon (LXe) to nuclear recoils is crucial for LXe-based dark matter experiments. Current calibrations carry large uncertainties in the low-energy region below ∼3\sim3 keVnr_nr where signals from dark matter particles of <<10 GeV/c2^2 masses are expected. The coherent elastic neutrino-nucleus scattering (CEν\nuNS) by solar 8^8B neutrinos also results in a continuum of nuclear recoil events below 3.0 keVnr_{nr} (99\% of events), which further complicates low-mass dark matter searches in LXe experiments. In this paper, we describe a method to quantify the uncertainties of low-energy LXe responses using published calibration data, followed by case studies to evaluate the impact of yield uncertainties on 8{^8}B searches and low-mass dark matter sensitivity in a typical ton-scale LXe experiment. We conclude that naively omitting yield uncertainties leads to overly optimistic limits by factor ∼2\sim2 for a 6 GeV/c2^2 WIMP mass. Future nuclear recoil light yield calibrations could allow experiments to recover this sensitivity and also improve the accuracy of solar 8{^8}B flux measurements

    Data Stream Clustering for Real-Time Anomaly Detection: An Application to Insider Threats

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    Insider threat detection is an emergent concern for academia, industries, and governments due to the growing number of insider incidents in recent years. The continuous streaming of unbounded data coming from various sources in an organisation, typically in a high velocity, leads to a typical Big Data computational problem. The malicious insider threat refers to anomalous behaviour(s) (outliers) that deviate from the normal baseline of a data stream. The absence of previously logged activities executed by users shapes the insider threat detection mechanism into an unsupervised anomaly detection approach over a data stream. A common shortcoming in the existing data mining approaches to detect insider threats is the high number of false alarms/positives (FPs). To handle the Big Data issue and to address the shortcoming, we propose a streaming anomaly detection approach, namely Ensemble of Random subspace Anomaly detectors In Data Streams (E-RAIDS), for insider threat detection. E-RAIDS learns an ensemble of p established outlier detection techniques [Micro-cluster-based Continuous Outlier Detection (MCOD) or Anytime Outlier Detection (AnyOut)] which employ clustering over continuous data streams. Each model of the p models learns from a random feature subspace to detect local outliers, which might not be detected over the whole feature space. E-RAIDS introduces an aggregate component that combines the results from the p feature subspaces, in order to confirm whether to generate an alarm at each window iteration. The merit of E-RAIDS is that it defines a survival factor and a vote factor to address the shortcoming of high number of FPs. Experiments on E-RAIDS-MCOD and E-RAIDS-AnyOut are carried out, on synthetic data sets including malicious insider threat scenarios generated at Carnegie Mellon University, to test the effectiveness of voting feature subspaces, and the capability to detect (more than one)-behaviour-all-threat in real-time. The results show that E-RAIDS-MCOD reports the highest F1 measure and less number of false alarm = 0 compared to E-RAIDS-AnyOut, as well as it attains to detect approximately all the insider threats in real-time

    Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target.

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    A major rate-limiting step in developing more effective immunotherapies for GBM is our inadequate understanding of the cellular complexity and the molecular heterogeneity of immune infiltrates in gliomas. Here, we report an integrated analysis of 201,986 human glioma, immune, and other stromal cells at the single cell level. In doing so, we discover extensive spatial and molecular heterogeneity in immune infiltrates. We identify molecular signatures for nine distinct myeloid cell subtypes, of which five are independent prognostic indicators of glioma patient survival. Furthermore, we identify S100A4 as a regulator of immune suppressive T and myeloid cells in GBM and demonstrate that deleting S100a4 in non-cancer cells is sufficient to reprogram the immune landscape and significantly improve survival. This study provides insights into spatial, molecular, and functional heterogeneity of glioma and glioma-associated immune cells and demonstrates the utility of this dataset for discovering therapeutic targets for this poorly immunogenic cancer

    Folate Decorated Dual Drug Loaded Nanoparticle: Role of Curcumin in Enhancing Therapeutic Potential of Nutlin-3a by Reversing Multidrug Resistance

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    Retinoblastoma is the most common intraocular tumor in children. Malfunctioning of many signaling pathways regulating cell survival or apoptosis, make the disease more vulnerable. Notably, resistance to chemotherapy mediated by MRP-1, lung-resistance protein (LRP) is the most challenging aspect to treat this disease. Presently, much attention has been given to the recently developed anticancer drug nutlin-3a because of its non-genotoxic nature and potency to activate tumor suppressor protein p53. However, being a substrate of multidrug resistance protein MRP1 and Pgp its application has become limited. Currently, research has step towards reversing Multi drug resistance (MDR) by using curcumin, however its clinical relevance is restricted by plasma instability and poor bioavailability. In the present investigation we tried to encapsulate nutlin-3a and curcumin in PLGA nanoparticle (NPs) surface functionalized with folate to enhance therapeutic potential of nutlin-3a by modulating MDR. We document that curcumin can inhibit the expression of MRP-1 and LRP gene/protein in a concentration dependent manner in Y79 cells. In vitro cellular cytotoxicity, cell cycle analysis and apoptosis studies were done to compare the effectiveness of native drugs (single or combined) and single or dual drug loaded nanoparticles (unconjugated/folate conjugated). The result demonstrated an augmented therapeutic efficacy of targeted dual drug loaded NPs (Fol-Nut-Cur-NPs) over other formulation. Enhanced expression or down regulation of proapoptotic/antiapoptotic proteins respectively and down-regulation of bcl2 and NFΞΊB gene/protein by Fol-Nut-Cur-NPs substantiate the above findings. This is the first investigation exploring the role of curcumin as MDR modulator to enhance the therapeutic potentiality of nutlin-3a, which may opens new direction for targeting cancer with multidrug resistance phenotype

    Rosiglitazone synergizes anticancer activity of cisplatin and reduces its nephrotoxicity in 7, 12-dimethyl benz{a}anthracene (DMBA) induced breast cancer rats

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    <p>Abstract</p> <p>Background</p> <p>Antineoplastic drug cisplatin remains the drug of choice for various solid tumours including breast cancer. But dose dependent nephrotoxicity is the major drawback in majority of platinum based chemotherapy regimens. Recent reports have shown that inflammatory pathways are the main offender for cisplatin induced nephrotoxicity. The present study was undertaken to assess the effect of rosiglitazone, a PPARΞ³ agonist and an anti-inflammatory agent, on cisplatin induced nephrotoxicity, and its anticancer activity in DMBA induced breast cancer rats.</p> <p>Methods</p> <p>Mammary tumours were induced in female Sprague-Dawley rats by feeding orally with dimethylbenz [a]anthracene (DMBA) (60 mg/kg). Cisplatin induced nephropathy was assessed by measurements of blood urea nitrogen, albumin and creatinine levels. Posttranslational modifications of histone H3, mitogen-activated protein (MAP) kinase p38 expression and PPAR-Ξ³ expression were examined by western blotting.</p> <p>Results</p> <p>Our data shows involvement of TNF-Ξ± in preventing cisplatin induced nephrotoxicity by rosiglitazone. Rosiglitazone pre-treatment to cisplatin increases the expression of p38, PPAR-Ξ³ in mammary tumours and shows maximum tumour reduction. Furthermore, cisplatin induced changes in histone acetylation, phosphorylation and methylation of histone H3 in mammary tumours was ameliorated by pre-treatment of rosiglitazone. Suggesting, PPAR-Ξ³ directly or indirectly alters aberrant gene expression in mammary tumours by changing histone modifications.</p> <p>Conclusion</p> <p>To best of our knowledge this is the first report which shows that pre-treatment of rosiglitazone synergizes the anticancer activity of cisplatin and minimizes cisplatin induced nephrotoxicity in DMBA induced breast cancer.</p
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