bluuebunny/crossref_metadata_2025_split huggingface dataset:
PARot – assessing platelet-rich plasma plus arthroscopic subacromial decompression in the treatment of rotator cuff tendinopathy: study protocol for a randomized controlled trial
Authors: Carr Andrew , Cooper Cushla , Murphy Richard , Watkins Bridget , Wheway Kim , Rombach Ines , Beard David 
Published: June 2013

Abstract

Background
Platelet-rich plasma (PRP) is an autologous platelet concentrate. It is prepared by separating the platelet fraction of whole blood from patients and mixing it with an agent to activate the platelets. In a clinical setting, PRP may be reapplied to the patient to improve and hasten the healing of tissue. The therapeutic effect is based on the presence of growth factors stored in the platelets. Current evidence in orthopedics shows that PRP applications can be used to accelerate bone and soft tissue regeneration following tendon injuries and arthroplasty. Outcomes include decreased inflammation, reduced blood loss and post-treatment pain relief. Recent shoulder research indicates there is poor vascularization present in the area around tendinopathies and this possibly prevents full healing capacity post surgery (Am J Sports Med
36(6):1171–1178, 2008). Although it is becoming popular in other areas of orthopedics there is little evidence regarding the use of PRP for shoulder pathologies. The application of PRP may help to revascularize the area and consequently promote tendon healing. Such evidence highlights an opportunity to explore the efficacy of PRP use during arthroscopic shoulder surgery for rotator cuff pathologies.

Methods/Design
PARot is a single center, blinded superiority-type randomized controlled trial assessing the clinical outcomes of PRP applications in patients who undergo shoulder surgery for rotator cuff disease. Patients will be randomized to one of the following treatment groups: arthroscopic subacromial decompression surgery or arthroscopic subacromial decompression surgery with application of PRP.
The study will run for 3 years and aims to randomize 40 patients. Recruitment will be for 24 months with final follow-up at 1 year post surgery. The third year will also involve collation and analysis of the data. This study will be funded through the NIHR Biomedical Research Unit at the Oxford University Hospitals NHS Trust.

Trial registration
Current Controlled Trials: ISRCTN10464365
Critical Evaluation of Oncology Clinical Practice Guidelines
Authors: Reames Bradley N. , Krell Robert W. , Ponto Sarah N. , Wong Sandra L. 
Published: June 2013

Purpose Significant concerns exist regarding the content and reliability of oncology clinical practice guidelines (CPGs). The Institute of Medicine (IOM) report “Clinical Practice Guidelines We Can Trust” established standards for developing trustworthy CPGs. By using these standards as a benchmark, we sought to evaluate recent oncology guidelines. Methods CPGs and consensus statements addressing the screening, evaluation, or management of the four leading causes of cancer-related mortality in the United States (lung, breast, prostate, and colorectal cancers) published between January 2005 and December 2010 were identified. A standardized scoring system based on the eight IOM standards was used to critically evaluate the methodology, content, and disclosure policies of CPGs. All CPGs were given two scores; points were awarded for eight standards and 20 subcriteria. Results No CPG fully met all the IOM standards. The average overall scores were 2.75 of 8 possible standards and 8.24 of 20 possible subcriteria. Less than half the CPGs were based on a systematic review. Only half the CPG panels addressed conflicts of interest. Most did not comply with standards for inclusion of patient and public involvement in the development or review process, nor did they specify their process for updating. CPGs were most consistent with IOM standards for transparency, articulation of recommendations, and use of external review. Conclusion The vast majority of oncology CPGs fail to meet the IOM standards for trustworthy guidelines. On the basis of these results, there is still much to be done to make guidelines as methodologically sound and evidence-based as possible.
Molecular Characterization and Transcriptional Regulation of a Disintegrin and Metalloproteinase With Thrombospondin Motif 1 (ADAMTS1) in Bovine Preovulatory Follicles
Authors: Sayasith Khampoun , Lussier Jacques , Sirois Jean 
Published: June 2013

AbstractThe ovulatory process involves a complex remodeling of the extracellular matrix during which a desintegrin and metalloproteinase with thrombospondin motif 1 (ADAMTS1) is thought to play a key role, but its transcriptional regulation in bovine follicles remains largely unknown. The objectives of this study were to characterize the regulation of ADAMTS1 in bovine follicles before ovulation and to determine its transcriptional control in bovine granulosa cells. Regulation of ADAMTS1 was assessed using total RNA isolated from bovine preovulatory follicles obtained at various times after human chorionic gonadotropin treatment. Results from RT-PCR analyses showed that levels of ADAMTS1 mRNA were very low at 0 hours but increased at 6 to 24 hours after human chorionic gonadotropin in granulosa cells. To determine the regulatory mechanisms controlling ADAMTS1 gene expression in vitro, primary cultures of bovine granulosa cells were established, and treatment with forskolin up-regulated ADAMTS1 mRNA levels. Promoter activity assays, 5′-deletion, and site-directed mutagenesis identified a minimal region conferring full-length basal and forskolin-stimulated ADAMTS1 promoter activities, with both being dependent on Ebox cis-acting elements. EMSAs revealed upstream stimulating factor (USF) proteins as key trans-activating factors interacting with Ebox. Chromatin immunoprecipitation assays confirmed such interactions between USF and Ebox in vivo, and USF binding to Ebox elements was increased by forskolin treatment. ADAMTS1 promoter activity and mRNA expression were increased by forskolin and overexpression of the catalytic subunit of protein kinase A, but not by cotreatment with inhibitors of protein kinase A, ERK1/2, and epidermal growth factor receptor signaling pathways. Furthermore, treatment with a soluble epidermal growth factor induced ADAMTS1 mRNA expression in granulosa cells. Collectively, results from this study describe the gonadotropin/forskolin–dependent up-regulation of ADAMTS1 mRNA in granulosa cells of bovine preovulatory follicles in vivo and in vitro and identify for the first time some of the molecular mechanisms responsible for ADAMTS1 promoter activation in follicular cells of a large monoovulatory species.
Prevention of influenza at Hajj: applications for mass gatherings
Authors: Haworth Elizabeth , Barasheed Osamah , Memish Ziad A , Rashid Harunor , Booy Robert 
Published: June 2013

Summary Outbreaks of infectious diseases that spread via respiratory route, e.g. influenza, are common amongst Hajj congregation in Mecca, Saudi Arabia. The Saudi Arabian authority successfully organized the Hajj 2009 amidst fear of pandemic influenza. While severe influenza A(H1N1)pdm09 was rare, the true burden of pandemic influenza at Hajj that year remains speculative. In this article we review the latest evidence on influenza control and discuss our experience of influenza and its prevention at Hajj and possible application to other mass gatherings. Depending on study design the attack rate of seasonal influenza at Hajj has ranged from 6% in polymerase chain reaction or culture confirmed studies to 38% in serological surveillance. No significant effect of influenza vaccine or the use of personal protective measures against influenza has been established from observational studies, although the uptake of the vaccine and adherence to face masks and hand hygiene has been low. In all, there is a relatively poor evidence base for control of influenza. Until better evidence is obtained, vaccination coupled with rapid antiviral treatment of symptomatic individuals remains the mainstay of prevention at Hajj and other mass gatherings. Hajj pilgrimage provides a unique opportunity to test the effectiveness of various preventive measures that require a large sample size, such as testing the efficacy of plain surgical masks against laboratory-confirmed influenza. After successful completion of a pilot trial conducted among Australian pilgrims at the 2011 Hajj, a large multinational cluster randomized controlled trial is being planned. This will require effective international collaboration.
MANAGEMENT OF THE TRANSPORT-FORWARDING COMPANY ON THE BASIS OF LOGISTIC APPROACH
Authors: Курлыкова Анна , Kurlykova Anna , Тяпухина Анна , Tyapukhina Anna 
Published: June 2013

In article terminology is specified and distinctions between the companies which are carrying out transportation of goods are revealed. On the basis of matrix classification the division of types of service of the transport-forwarding company is carried out. The
specification of material and non-material types of service of the transport-forwarding company is carried out. The kind of activity of the transport-forwarding company on the basis of its place in a logistic chain of deliveries is defined. Auxiliary nature of activity of the company — “movement of resources” — as the main one wi thin activity of the transport-forwarding company is reasonable. Recommendations about management of the transport-forwarding company
on the basis of application of methods of logistic management are made.
Investigation of Transmission Line Models for Switching Overvoltages Studies
Authors: Sadeghkhani Iman , Ketabi Abbas , Feuillet Rene 
Published: June 2013

Abstract
Overvoltages caused by switching operation of power system equipments might damage some equipment and delay power system restoration. This paper presents a comparison between transmission line (TL) models for overvoltages study and investigates which TL model is most proper for every case study. Both simulation time and accuracy factors of TL models are considered for selecting best TL model. Various cases of switching of transformer, shunt reactor, capacitor bank, and transmission line are investigated and simulation results for a partial of 39-bus New England test system, ‎show that the proposed TL model evaluation increase accuracy and reduce simulation time (accelerate power system restoration) properly.
Commercial Impact and Optimum Capacity Determination of Pumped Storage Hydro Plant for a Practical Power System
Authors: Latha P.G. , Anand S.R. , Imthias Ahamed T.P. , Sreejith Dr. P.S. 
Published: June 2013

Abstract
This paper attempts to study the commercial impact of pumped storage hydro plant on the operation of a stressed power system. The paper further attempts to compute the optimum capacity of the pumped storage scheme that can be provided on commercial basis for a practical power system. Unlike the analysis of commercial aspects of pumped storage scheme attempted in several papers, this paper is presented from the point of view of power system management of a practical system considering the impact of the scheme on the economic operation of the system. A realistic case study is presented as the many factors that influence the pumped storage operation vary widely from one system to another. The suitability of pumped storage for the particular generation mix of a system is well explored in the paper. To substantiate the economic impact of pumped storage on the system, the problem is formulated as a short-term hydrothermal scheduling problem involving power purchase which optimizes the quantum of power to be scheduled and the duration of operation. The optimization model is formulated using an algebraic modeling language, AMPL, which is then solved using the advanced MILP solver CPLEX.
Molecular Simulation To Determine Key Shale Gas Parameters, And Their Use In A Commercial Simulator For Production Forecasting
Authors: Gouth F. , Collell J. , Galliero G. , Wang J. 
Published: June 2013

Abstract
Shale gas is a rising energy supply that is set to change the global energy market in coming decades. Even though thousands of shale gas wells are still in production throughout the world, the physics underlying the nano-scale of shale gas remains poorly understood, especially when complex fluid mixtures are involved. Effectively, compositional changes will arise in the well gas stream, resulting not only from phase changes but also from selective desorption and molecular sieving in the nano pores. The aim of this paper is twofold: Highlight the potential use of molecular simulation, to determine key reservoir parameters in term of storage and kinetics.Suggest an integrated workflow for implementing the parameters obtained in a commercial simulator and provide guidelines for tailoring the physics in the simulator to the needs of shale gas modeling.
Molecular simulation is an emerging technique which can be put to relevant use for shale gas. It offers insights into nano-scale properties such as sorption or transport coefficients. The technique is based on numerical simulations at the molecular scale for a given set of pressure and temperature conditions. Our work comprised the following actions: We started building an organic molecule compound representative of a mature kerogen.Molecular simulation was used to produce adsorption isotherms for multi-component gas. For a C1-C2 mixture, we have established that the standard Extended Langmuir isotherm model available in ECLIPSE is poorly suited to matching with actual data. We propose an enhanced model in which partial pressures are replaced by fugacity.Because of the nano-scale size of the pores in the kerogen, the gas flows not to a Darcy pattern but in a slip or transitional process instead. This kind of flow displays different transport properties, depending on molecule sizes. We used molecular simulation to check the relevance of analytical flow models such as Beskok-Karniadakis’s one and investigated how individual component flow properties change when a gas mixture is involved.
We then made a comprehensive review of commercial simulators to check their suitability for shale gas modeling. A triple porosity model was built to capture the actual nature of a shale gas formation which features organic and inorganic pores along with fractures. We show how alpha factors can successfully be used to model the molecular sieving of gas flow in the organic pores (depending on size). We also elaborate on how the extended Langmuir curve was distorted to match the results of molecular simulation. At the end of this paper, we offer insight into simulation forecasting of gas stream composition changes over time.
A Novel Infinite-Acting Radial-Flow Analysis Procedure for Estimating Horizontal and Vertical Permeability from an Observation-Probe Pressure Response
Authors: Onur M. , Hegeman P. S. , Gok I. M. 
Published: June 2013

Abstract
This paper presents a new infinite-acting radial-flow analysis procedure for estimating horizontal and vertical permeability solely from pressure transient data acquired at an observation probe during an interval pressure transient test (IPTT) conducted with a single-probe or dual-packer module. The procedure is based on new infinite-acting radial-flow equations that apply for all inclination angles of the wellbore in a single-layer, 3D anisotropic, homogeneous porous medium. The equations for 2D anisotropic cases are also presented and are derived from the general equations given for the 3D anisotropic case. It is shown that the radial-flow equation presented reduces to the Prats’ equation assuming infinite-acting radial flow at an observation point along a vertical wellbore in isotropic or 2D anisotropic formations of finite bed thickness.
The applicability of the analysis procedure is demonstrated by considering synthetic and field probe-probe and packer-probe IPTT data. The results indicate that the procedure provides reliable estimates of horizontal and vertical permeability solely from observation-probe pressure data during radial flow for vertical, horizontal, and slanted wellbores. Most importantly, the analysis does not require that both spherical and radial flow prevail at the observation probe during the test.
A PRAGMATIC WAY TO HANDLE UNCERTAINTY ANALYSIS IN A BROWN FIELD, KARACHAGANAK FIELD, REPUBLIC OF KAZAKHSTAN
Authors: Bigoni F. , Della Rossa E. , Francesconi A. , Imagambetov K. , Tumbarello G. 
Published: June 2013

Abstract
Karachaganak field, one of the largest accumulations of gas and condensate in the world, is in production since 1985. The field is an isolated carbonate platform with a hydrocarbon column of about 1500 m.
The analysis and integration of the vast amount of geological and production data allowed the building of a reservoir model characterised by a high quality History Match.
According to the usual approach, the following uncertainty analysis consists in the building of several models representing possible alternative scenarios endorsed by a similar quality HM. However, this approach was dropped because not feasible for a so large reservoir with a long production history, where the achievement of a high quality HM is time consuming.
The workflow has been, therefore, turned upside down using the HM reference model as benchmark, modifying its characteristics only in the areas not controlled by well data, without perturbing significantly the achieved HM. Estimating possible petrophysical changes (Phi, Kh, Kv, Swi), using the "distance" from productive wells and the magnitude of the HM perturbations as control parameters, "end members" models, capable to give a significant spread in the production forecast, were identified.
Finally combining these "end members" as "corner points", an Experimental Design technique allowed to build the PROXY model for relevant response variable. The validated PROXY models have been then used to generate, with Monte Carlo approach, random sampled profiles which give a reliable picture of the uncertainties.
Coupling Reservoir and Well Completion Simulators for Intelligent Multi-Lateral Wells: Part 1
Authors: Carvajal G. A. , Saldierna N. , Querales M. , Thornton K. , Loiza J. 
Published: June 2013

Abstract
To maximize well productivity and reservoir oil recovery in mature fields, advanced lateral designs with intelligent completions have been implemented during the last decade. The technology has been broadly applied, but how to effectively include its impact in reservoir well modeling is still being studied and developed. This paper describes an all-in-one system that combines nodal analysis and numerical simulation models to calculate the effect of intelligent completion components—such as swell packers, internal control valves (ICV), and inflow control devices (ICD)—on lateral production profiles.
In complex and high heterogeneity reservoirs, single wells are economically unsustainable in the long term because of many factors, including reservoir properties, early water/gas breakthrough, and non-selective-layer flow control or preference flow zones. The use of multi-lateral wells (ML) enables maximum reservoir contact while different zones are produced at the same time. Moreover, for those cases in which reservoir pressure and heterogeneity between completions are significantly different, downhole devices can control early water breakthrough and provide hydro-dynamic equilibrium in more than one lateral.
In this work, we used a 3D grid, multiphase flow and non-isothermal reservoir numerical simulator for advanced well design, and a wellbore nodal analysis simulator that numerically solves the partial differential equations between porous medium and the wellbore. When modeling the effect of any completion (ICD, ICV, and swell packers) on reservoir performance, the numerical simulator is coupled with a steady-state, network-based simulator that handles the completion effect inside the wellbore architecture.
This study is determining how to optimize the intelligent-completion design in a Middle East field to evaluate the completion efficiency and production performance over time. The new coupled approach—believed to be an industry first for multi-laterals—is being used to model openhole and ICD-ICV completions and production forecasting in a multi-layered formation associated with an active aquifer.
Uncertainty Quantification in Reservoir Performance for Field Test Evaluation Using Swarm Intelligence Algorithm
Authors: Okano H. 
Published: June 2013

Abstract
Production forecasts for petroleum reservoirs are essentially uncertain due to the lack of data. The unknown parameters are calibrated so that the simulated profile can match the observed data. This process is an inverse problem called history-matching which is ill-posed and may have non-unique solutions. This paper addresses two issues: 1) How can we calibrate physical properties in history-matching? 2) How can we predict uncertain reservoir performance based on history-matching?
The aim of our study is to quantify uncertainty of reservoir connectivity in a Turbidite sandstone reservoir. The target reservoir is in the on-shore oil field of which the depositional environment is a submarine fan of turbidite deposits. For the calibration we parameterise the reservoir properties and adopt a stochastic sampling method called Particle Swarm Optimisation (PSO) which is one of the swarm intelligence algorithms. Then a Bayesian framework along with Markov Chain Monte Carlo (MCMC) and Neighbourhood Approximation in parameter space is used to calculate the posterior probability. The MCMC is used to overcome the numerical difficulties calculating the normalisation constant in Bayesian inference.
A Bayesian framework and PSO have been applied to the evaluation of CO2 injection test in the tight oil reservoir where the wells have been stimulated by hydraulic fracturing. The observed data used for history-matching include the bottom-hole flowing pressure at the injector well and the gas composition at the wellhead of the producer wells. The in-place volumes and connectivity between the wells have been calibrated in a simple model using the effective algorithm of PSO. The calibrated parameters include permeabilities and porosities in the fracture cells, the length of the injector hydraulic fracture, the net-to-gross ratios and the horizontal and vertical permeabilities around one of the producer wells.
We showed the best fit model for the gas breakthrough and the P10-90 envelopes in the reservoir performance forecast assuming an on-going injection after the actual pilot test. The uncertainty envelopes in the CO2 mole fraction in the produced gas were estimated to see a gas breakthrough at each of the producer wells. The probability given production history is calculated from the prior belief and the misfit between the observed data and the simulated profiles, because the likelihood function can be calculated from the misfit. Our results contribute to the evaluation of the pilot test for a continuous CO2 injection in the tight oil reservoir.
The simplification in parameterising the very heterogeneous reservoir was the key to generating multiple history-matched models, because the amount of computation is prohibitive. It is much quicker to adjust large-scale heterogeneity in a simple model than in a detailed model. The simple model calibration with PSO and the forecast of Bayesian inference have been successfully applied to a real field data.