1,359,713 research outputs found
08. Vora Arquitectura "in process"
No full textConferència de l'equip "Vora Arquitectura" per Debat Obert: Arquitectura emergent a Catalunya 201
08. Vora Arquitectura "in process"
No full textConferència de l'equip "Vora Arquitectura" per Debat Obert: Arquitectura emergent a Catalunya 201
Dataset for "Coupling Reservoir Operation and Rainfall-Runoff Processes for Streamflow Simulation in Watersheds"
No full textThis dataset includes all code used to run and evaluate the coupled watershed models described in 'Coupling Reservoir Operation and Rainfall-Runoff Processes for Streamflow Simulation in Watersheds.'Prior to model calibration and performance evaluation, the codes in Step_A_DataPreprocessing, and Step_B_CreateReservoirModels are to be run for creating set-up files. Outputs from the codes in both folders are already included in the dataset. Separate readme.txt files inside both folders describe each codes' application.Within the root folder, "Simulating_Coupled_Models_And_Calibrating_ResIgnore.R" is run first to obtain data in the folders "All_Para_Perf" and "Behavioral_Paras_ResIgnore". "All_Para_Perf" contains .csv files with metrics quantifying the performance of 10,000 parameter sets generated via Latin Hypercube Sampling (from Step_A_DataPreprocessing). Each row in the .csv file corresponds to a parameter set. One .csv file is generated for each watershed."Behavioral_Paras_ResIgnore" contains .csv files with metrics quantifying the performance of models that ignore reservoir operation. One .csv file is generated for each reservoir."Analysis.R" generates the main results in the paper. All outputs from "Analysis.R" are in the folder "Results". Comments in the code (Analysis.R) describe each statement.Apart from Analysis.R and Simulating_Coupled_Models_And_Calibrating_ResIgnore.R, all other codes in the root folder are function files. Each function's description is as follows:Selecting_Bhv_Paras_NoInflow_2.R -> To calibrate GDROM/DZTR models using criteria related to watershed outflow.Selecting_Bhv_Paras_WithInflow_2.R -> To calibrate GDROM/DZTR models using criteria related to watershed outflow and internal flux.PDSI_Monthly_To_Daily.R -> Converts monthly PDSI data to daily values. Constant daily value within each month.FlowSimulator.R -> The rainfall-runoff model; simulates natural streamflow.GDROM_Simulator_2.R -> Simulates releases using input inflow via GDROM.DZTR_Simulator.R -> Simulates releases using input inflow via DZTR.Performance_Computer.R -> Computes NSE, PBIAS and logNSE for observed and simulated time series.QuantileSummarizer_2.R -> Creates a summary of performance metrics at 0%, 25%, 50%, 75% and 100% quantiles.PlottingFDCs_5.R -> Plots errors in the flow duration curve arising from parametric uncertainties.PlottingNSEScatter_3.R -> Creates a plot with logNSE[Flux] on the x axis and logNSE[Outflow] on the y axis for a particular watershed based on GDROM and DZTR models
A hierarchical task analysis software tool based on the model-view-controller architecture pattern
No full textHierarchical Task Analysis is a systematic method of describing how work is organized in order to meet the overall objective of the job. It involves identifying, in a top-down approach, the overall goal of the task, then the various sub-tasks and then the conditions under which they should be carried out to achieve the goal. In this thesis, we set out to design and develop a simple, robust and flexible hierarchical task analysis software tool. We provide an intuitive user interface to create hierarchical tasks, additionally we provide features which are not available in existing tools like - the ability to reuse the task analysis data as templates, import or export Xml, store task and sub-tasks for reusability. These new features serve to improve time efficiency, compatibility with applications developed using other platforms and the ease with which the tool can be extended by adding new features. We use the Model-View-Controller (MVC) software architecture pattern since it is suitable for applications with a user-interface and at the same time aids in developing highly scalable and extensible applications. We produce simulation results to project the functionalities of our tool and also discuss some non-functional requirements, such as usability, scalability and extensibility.M.S.Includes bibliographical referencesby Ateet Vor
Delivery of a Small Hydrophobic and Large Hydrophilic Molecule via Intranasal Route
No full textThe intranasal route of drug administration is widely known to be a non-invasive route that has the potential to carry a drug directly to the central nervous system (CNS). Drugs with low solubility and large molecular weight are two common problems encountered which interfere with the delivery of potent drugs to a target. The purpose of this project was the preparation, characterization, in vitro and in vivo testing by intranasal administration to hamsters for various formulations of a hydrophobic small molecular weight drug- dibenzoylmethane (DBM) and a hydrophilic large molecular weight drug- oxytocin to study their bioavailability following inhalation into the nasal cavity (NC). The goal is to improve the delivery of drugs to the brain.
The poorly soluble drug, DBM was formulated in brain homogenate (BH), in HPMC polymer suspension and as drug-loaded nanoparticles and characterized in solid and suspension states. DBM was loaded into a novel lipid- and cyclodextrin-based nanoparticle formulation and characterized by various methods. In addition, oxytocin was formulated in BH and in normal saline. In vitro cell culture-based studies, histological characterizations of nasal cavities for glial fibrillary acidic protein (GFAP) protein and in vivo biodistribution studies after intranasal administration were carried out.
DBM loaded nanoparticles were observed to be thermostable and amorphous in nature. The final particle size for the DBM loaded nanoparticles was 163.8±3.2nm. The entrapment efficiency and percentage drug loading of DBM-loaded nanoparticles was 86.4±0.6% and 9.20% respectively. Invitro release studies showed about 95.80% of drug was released from the nanoparticles within 8 days. Oxytocin formulations were characterized by visual evaluations, pH, viscosity and stability. Invivo biodistribution studies after intranasal administration of oxytocin showed presence of 1.7445 ± 0.5714 and 1.895.2 ± 0.4626 ng/mL of oxytocin in the blood after 30 minutes of administration. No drug was detected in blood samples of animals treated with DBM in BH. However, about 40.77171 ± 4.9340 and 44.44912 ± 5.3666 ng/mL of DBM was detected in blood samples of animals administered DBM in HPMC polymer suspension and DBM nanoparticles respectively. Histological studies on the NC confirmed the presence of inoculum within the cavity of lymphatic vessels for both drugs.
Thus, formulations of hydrophobic small molecular weight drug- DBM and a hydrophilic large molecular weight drug- oxytocin were successfully designed and characterized. These were inhaled intranasally by hamsters to determine relative effectiveness and biodistribution.ProQuest Traditional Publishing Optio
Occupational Therapy in Neurocritical Care: Use of Cycle Ergometry for Early Upper-Extremity Rehabilitation in a Critically Ill Stroke Patient
No full textAbstract
Date Presented 3/31/2017
Upper-extremity cycling is an intervention that facilitates bilateral integration and rhythmic, repetitive arm movement. This poster highlights its potential as a safe and effective therapy for critically ill stroke patients in the early recovery period.
Primary Author and Speaker: Sandra Deluzio
Additional Authors and Speakers: Isha Vora
Contributing Authors: Sowmya Kumble, Mona Bahouth</jats:p
Renoprotection with SGLT2 inhibitors in type 2 diabetes over a spectrum of cardiovascular and renal risk
No full textApproximately half of all patients with type 2 diabetes (T2D) develop a certain degree of renal impairment. In many of them, chronic kidney disease (CKD) progresses over time, eventually leading to end-stage kidney disease (ESKD) requiring dialysis and conveying a substantially increased risk of cardiovascular morbidity and mortality. Even with widespread use of renin–angiotensin system blockers and tight glycemic control, a substantial residual risk of nephropathy progression remains. Recent cardiovascular outcomes trials investigating sodium–glucose cotransporter 2 (SGLT2) inhibitors have suggested that these therapies have renoprotective effects distinct from their glucose-lowering action, including the potential to reduce the rates of ESKD and acute kidney injury. Although patients in most cardiovascular outcomes trials had higher prevalence of existing cardiovascular disease compared with those normally seen in clinical practice, the proportion of patients with renal impairment was similar to that observed in a real-world context. Patient cardiovascular risk profiles did not relevantly impact the renoprotective benefits observed in these studies. Benefits were observed in patients across a spectrum of renal risk, but were evident also in those without renal damage, suggesting a role for SGLT2 inhibition in the prevention of CKD in people with T2D. In addition, recent studies such as CREDENCE and DAPA-CKD offer a greater insight into the renoprotective effects of SGLT2 inhibitors in patients with moderate-to-severe CKD. This review outlines the evidence that SGLT2 inhibitors may prevent the development of CKD and prevent and delay the worsening of CKD in people with T2D at different levels of renal risk
Anatomy of an Article: The Peer‐Review Process as Method
No full textIn this article, we provide an unprecedented insider view of the peer-review process. Specifically, we highlight how an author (Vora) revised a manuscript submitted to American Anthropologist in a manner that resulted in its eventual publication in the journal. This included responding in various revisions of the manuscript to comments from the editor (Boellstorff), as well as a reviewer who has agreed to reveal her identity (Karen Ho). By showing examples of this revision process, we explore the "anatomy of an article," illustrating how a deeper understanding of the peer-review process can contribute to anthropological professionalization and successful publishing. © 2012 by the American Anthropological Association
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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