bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photodynamic antimicrobial chemotherapy using indocyanine green in experimentally induced intraoral ulcers in rats
Authors: Motamedifar Mohammad , Tanideh Nader , Mardani Maryam , Daneshvar Bahareh , Hadadi Mahtab 
Published: October 2020

AbstractBackgroundPhotodynamic antimicrobial chemotherapy (PACT) is a promising modality for eradication of microorganisms from the wound. This study aimed to investigate the effectiveness of PACT using indocyanine green (ICG) for reduction of bacterial load of oral ulcers in rats and its impact on the healing process.MethodsIn this experimental study, 50 adult male Sprague Dawley rats were recruited. Oral ulcers were surgically made on the left cheek mucosa, and animals were randomly assigned into five groups (n = 10). Wound site in groups 1, 2, and 3 was irrigated with the sterile saline (0.9%), chlorhexidine (CHX; 0.2%), and ICG solutions (1 mg/mL), respectively. Group 4 was exposed to laser irradiation using 810 nm diode laser on continuous‐wave mode for 30 seconds (fluence: 55 J/cm2, power: 300 mW, spot size: 4.5 mm). In group 5, PACT was performed using topical application of ICG followed by laser irradiation in the same way as the previous group. Bacterial load of oral ulcers was assessed before and after each treatment modality. Besides, rats were sacrificed on the 5th day post ulceration and histological features of healing were evaluated.ResultsBacterial load was significantly reduced merely in the PACT‐ICG‐treated group by one log (P < .0001). Animals in the PACT‐ICG‐treated group also showed an accelerated healing in comparison with others on the 5th day of an experiment.ConclusionPhotodynamic antimicrobial chemotherapy using topical application of ICG has a potential to reduce the bacterial load of oral ulcers and accelerate wound repair. Therefore, it can be considered as an alternative to currently available modalities for wound management.
Global Constraints on Imprecise Credences: Solving Reflection Violations, Belief Inertia, and Other Puzzles
Authors: Moss Sarah 
Published: October 2020

AbstractThe move to imprecise credence models leaves many formal norms of rationality surprisingly intact, as rational constraints on precise credences are often reinterpreted as constraints on individual elements of a rational agent’s representor. However, constraints on imprecise credences needn’t take this form. Whether an imprecise agent is rational might just as easily depend onglobalfeatures of her representor.This paper is an extended investigation of global rules of rationality. I begin by distinguishing and defining multiple notions of globalness. Then I use these notions to solve several problems faced by fans of imprecise credences. On behalf of fans of imprecise credences, I respond to the problem of belief inertia, according to which certain imprecise agents are unable to engage in inductive learning. In addition, I answer the objection that that imprecise agents are doomed to violate the rational principle of Reflection.
Outcomes of protracted bacterial bronchitis in children: A 5‐year prospective cohort study
Authors: Ruffles Tom J.C. , Marchant Julie M. , Masters Ian B. , Yerkovich Stephanie T. , Wurzel Danielle F. , Gibson Peter G. , Busch Greta , Baines Katherine J. , Simpson Jodie L. , Smith‐Vaughan Heidi C. , Pizzutto Susan J. , Buntain Helen M. , Hodge Gregory , Hodge Sandra , Upham John W. , Chang Anne B. 
Published: October 2020

ABSTRACTBackground and objectiveLong‐term data on children with PBB has been identified as a research priority. We describe the 5‐year outcomes for children with PBB to ascertain the presence of chronic respiratory disease (bronchiectasis, recurrent PBB and asthma) and identify the risk factors for these.MethodsProspective cohort study was undertaken at the Queensland Children's Hospital, Brisbane, Australia, of 166 children with PBB and 28 controls (undergoing bronchoscopy for symptoms other than chronic wet cough). Monitoring was by monthly contact via research staff. Clinical review, spirometry and CT chest were performed as clinically indicated.ResultsA total of 194 children were included in the analysis. Median duration of follow‐up was 59 months (IQR: 50–71 months) post‐index PBB episode, 67.5% had ongoing symptoms and 9.6% had bronchiectasis. Significant predictors of bronchiectasis were recurrent PBB in year 1 of follow‐up (ORadj = 9.6, 95% CI: 1.8–50.1) and the presence of Haemophilus influenzae in the BAL (ORadj = 5.1, 95% CI: 1.4–19.1). Clinician‐diagnosed asthma at final follow‐up was present in 27.1% of children with PBB. A significant BDR (FEV1 improvement >12%) was obtained in 63.5% of the children who underwent reversibility testing. Positive allergen‐specific IgE (ORadj = 14.8, 95% CI: 2.2–100.8) at baseline and bronchomalacia (ORadj = 5.9, 95% CI: 1.2–29.7) were significant predictors of asthma diagnosis. Spirometry parameters were in the normal range.ConclusionAs a significant proportion of children with PBB have ongoing symptoms at 5 years, and outcomes include bronchiectasis and asthma, they should be carefully followed up clinically. Defining biomarkers, endotypes and mechanistic studies elucidating the different outcomes are now required.
Revisiting cultural competence
Authors: Liu Jia , Gill Elaine , Li Shuangyu 
Published: October 2020

SUMMARYBackgroundAlthough the importance of developing health care trainees and trainers’ cultural competence is widely acknowledged, limited information is available on what elements of cultural competence should be taught. A lack of theoretical clarity and consensus over what constitutes the competence attributes is a key hurdle in faculty development (FD). This results in patchy cultural education across health schools globally. Based on a literature review, we propose a new framework that may inform clinical cultural education and the development of clinical educators in this area.MethodsA critical interpretive synthesis was carried out on articles extracted from Medline, CINAHL and Web of Science. Sixty‐nine articles were included for analysis, through which we engaged with the reconceptualisation of cultural competence in order to provide theoretical clarity and pedagogical guidance for FD in clinical cultural education.ResultsThe synthesis illustrates that an ecological system is required to achieve comprehensive cultural competence development. We therefore composed a discursive multi‐level framework to highlight the needs of achieving cultural competence at the individual, team, organisational and systemic levels. Affective, cognitive and behavioural domains are to be achieved at the individual level. Leadership skills training is a key component in achieving higher level competences. Successful FD needs to cover these developmental areas.DiscussionThis review offers a multi‐level approach to developing cultural competence, which can be useful for clinical educators to improve their clinical practice and education in diverse cultural contexts. More research is needed to evaluate the effectiveness of the proposed framework and the methods.
Convergence Characteristics of Geometrically Accurate Spatial Finite Elements
Authors: Tinsley Brian , Shabana Ahmed A. 
Published: October 2020

Abstract
The convergence characteristics of three geometrically accurate spatial finite elements (FEs) are examined in this study using an eigenvalue analysis. The spatial beam, plate, and solid elements considered in this investigation are suited for both structural and multibody system (MBS) applications. These spatial elements are based on geometry derived from the kinematic description of the absolute nodal coordinate formulation (ANCF). In order to allow for an accurate reference-configuration geometry description, the element shape functions are formulated using constant geometry coefficients defined using the position-vector gradients in the reference configuration. The change in the position-vector gradients is used to define a velocity transformation matrix that leads to constant element inertia and stiffness matrices in the case of infinitesimal rotations. In contrast to conventional structural finite elements, the elements considered in this study can be used to describe the initial geometry with the same degree of accuracy as B-spline and nonuniform rational B-spline (NURBS) representations, widely used in the computer-aided design (CAD). An eigenvalue analysis is performed to evaluate the element convergence characteristics in the case of different geometries, including straight, tapered, and curved configurations. The frequencies obtained are compared with those obtained using a commercial FE software and analytical solutions. The stiffness matrix is obtained using both the general continuum mechanics (GCM) approach and the newly proposed strain split method (SSM) in order to investigate its effectiveness as a locking alleviation technique.
Multicriteria Optimization of an Oven With a Novel ε-Constraint-Based Sandwiching Method
Authors: Nowak Dimitri , Johnson Tomas , Mark Andreas , Ireholm Charlotte , Pezzotti Fabio , Erhardsson Lars , Ståhlberg Daniel , Edelvik Fredrik , Küfer Karl-Heinz 
Published: October 2020

Abstract
Oven curing of automotive parts is a complex industrial process involving multiple scales ranging from submillimeter thick layers to the size of the ovens, and long curing times. In this work, the process is simulated by state-of-the-art immersed boundary techniques. First, the simulations are validated against temperature measurements, in a lab scale oven, of three parts taken from a truck cab. Second, a novel multicriteria optimization method is proposed. It is applied to study the optimal positioning of the three parts with respect to curing time and energy consumption. The results presented demonstrate that complex industrial heat transfer processes can be optimized by combining state-of-the-art simulation technology and deterministic optimization techniques.
An Experimental Study of Sister Holes Film Cooling With Various Secondary-to-Primary Hole Diameter Ratios
Authors: Zhu Rui , Lin Enci , Simon Terrence , Xie Gongnan 
Published: October 2020

Abstract
For increased specific thrust and efficiency, more effective film-cooling schemes are developed with each successive gas turbine design. Adding secondary film-cooling holes to each primary film-cooling hole represents such improvement without significantly increasing cost. Presented is an experimental investigation on the effects of secondary-to-primary hole diameter ratio on film-cooling performance and flow structure in the coolant-to-passage flow merge zone. Film-cooling effectiveness values and heat transfer coefficients are measured in the vicinity of the hole by the thermochromic liquid crystal (TLC) technique. Measured in-flow temperature fields in the coolant emerging zone identify flow makeup, whether coolant or passage. Furthermore, complementary flow and thermal fields are numerically documented. The Reynolds number based on mainstream velocity and primary hole diameter is 20,300, a representative value. Performance features are compared at three blowing ratios (0.5, 1.0, and 1.5) and two mass flow ratios (3.43% and 5.15%). Secondary holes improve film-cooling effectiveness, especially when blowing rate is high. Secondary holes create an “antikidney vortex structure” that weakens the main kidney vortex pair which helps keep coolant attached to the surface, allowing more effective laterally spreading. However, adding secondary holes increases heat transfer coefficients, especially at high blowing rates. The secondary-to-primary hole diameter ratio is an important parameter. Larger secondary holes can counteract the detrimental effects of having higher blowing ratios, but with increased blowing ratios this improvement subsides. An optimum diameter ratio is sought.
Cost-Effective Additive Manufacturing of Ambient Pressure-Dried Silica Aerogel
Authors: Guo Zipeng , Yang Ruizhe , Wang Tianjiao , An Lu , Ren Shenqiang , Zhou Chi 
Published: October 2020

Abstract
The conventional manufacturing processes for aerogel insulation materials mostly rely on the supercritical drying, which suffers from issues of massive energy consumption, high-cost equipment, and prolonged processing time. Considering the large market demand for the aerogel insulation material in the next decade, a cost-effective and scalable fabrication technique is highly desired. In this paper, a direct ink writing (DIW) method is used to three-dimensionally fabricate the silica aerogel insulation material, followed by room-temperature and ambient pressure drying. Compared with the supercritical drying and freeze-drying techniques, the reported method significantly reduces the fabrication time and costs. The cost-effective DIW technique offers the capability to print complex hollow internal structures, coupled with the porous aerogel structure, it is found to be beneficial for the thermal insulation property. The addition of fiber to the ink assures the durability of the fabricated product, without sacrificing the thermal insulation performance. The foam ink preparation methods and the printability are demonstrated in this paper, along with the printing of complex three-dimensional geometries. The thermal insulation performance of the printed objects is characterized, and the mechanical properties were also examined. The proposed approach is found to have a 56% reduction in the processing time. The printed silica aerogels exhibit a low thermal conductivity of 0.053 W m−1 K−1.
Modeling Large Spatial Deflections of Slender Beams of Rectangular Cross Sections in Compliant Mechanisms
Authors: Bai Ruiyu , Chen Guimin 
Published: October 2020

Abstract
Modeling large spatial deflections of flexible beams has been one of the most challenging problems in the research of compliant mechanism. This study presents an approach called chained power series model for modeling large spatial defections of flexible beams with uniform rectangular cross section. This approach is based on the power series model developed in our previous work for modeling spatial deflections of rectangular beams in the intermediate deflection range. The chained power series model splits a rectangular beam into several elements and models each element by the power series model, and then, the deflections of all elements are assembled to form the deflection of the beam through transformations using quaternions. The effectiveness of the approach is demonstrated by comparing with the nonlinear finite element model preformed in ansys and the chained 3D pseudo-rigid-body model. Several examples are demonstrated to show the capability of the chained power series model for solving the deflections of rectangular beams in compliant mechanisms.
Design and Kinematic Analysis of a Flexible-Link Parallel Mechanism With a Spatially Quasi-Translational End Effector
Authors: Pan Hao , Chen Genliang , Kang Yezheng , Wang Hao 
Published: October 2020

Abstract
Intrinsic passive compliance of flexible-link parallel mechanisms makes them suitable for situations where compliant manipulation is necessary. In this work, through using elastic rods as limbs, a flexible-link parallel mechanism whose end effector can move translationally with a large workspace is proposed. The middle plate and end effector are connected to the base via two groups of three elastic rods, which are arranged in a cylindrically symmetric way with a phase difference of 60 deg. Concurrently, the middle plate is coupled with the elastic rods connected to the end effector via sliding connection. Besides, a rotating set of coplanar wheels is introduced to provide smooth coupling for the prototype. Three actuation modules are used to drive the end effector, while another three to compensate toward its configuration deviations caused by deformation compatibility. Then, based on principal axes decomposition of compliance matrix, kinetostatics models for inverse and forward kinematics are established. The numerical analysis reveals that the end effector can make quasi 3-degrees-of-freedom (DOF) translation in a large space with extremely small twist. Finally, workspace experiments at four typical slices and pose accuracy evaluation along continuous trajectories are carried out, and the results demonstrate that our design and theoretical model are correct.
WearGP: A UQ/ML Wear Prediction Framework for Slurry Pump Impellers and Casings
Authors: Tran Anh , Wang Yan , Furlan John , Pagalthivarthi Krishnan V. , Garman Mohamed , Cutright Aaron , Visintainer Robert 
Published: October 2020

Abstract
Dedicated to the memory of John Furlan.
Wear prediction is important in designing reliable machinery for slurry industry. It usually relies on multi-phase computational fluid dynamics, which is accurate but computationally expensive. Each run of the simulations can take hours or days even on a high-performance computing platform. The high computational cost prohibits a large number of simulations in the process of design optimization. In contrast to physics-based simulations, data-driven approaches such as machine learning are capable of providing accurate wear predictions at a small fraction of computational costs, if the models are trained properly. In this paper, a recently developed WearGP framework [1] is extended to predict the global wear quantities of interest by constructing Gaussian process surrogates. The effects of different operating conditions are investigated. The advantages of the WearGP framework are demonstrated by its high accuracy and low computational cost in predicting wear rates.
Optimization of NACA 0012 Airfoil Performance in Dynamics Stall Using Continuous Suction Jet
Authors: Tadjfar M. , Kasmaiee Siroos , Noori S. 
Published: October 2020

Abstract
Many different active flow control methods are used to manipulate the flow field about aerodynamic surfaces in order to obtain the most desirable aerodynamic performance. Among these techniques, boundary layer suction is one of the most effective techniques used to improve aerodynamic performance of the airfoil. In this study, the configuration of a pure suction jet actuator is optimized over an oscillating NACA0012 airfoil at the Reynolds number of 1.35 × 105 to control the dynamic stall behavior. The airfoil was pitched around the quarter-chord location with a sinusoidal motion and the angle of attack was varied between −5 and 25 degrees. Genetic algorithm was implemented as the optimization method. However, since large number of numerical simulations were required for this purpose, an artificial neural network was employed for training a function between the control parameters and the airfoil aerodynamic coefficients. Aerodynamic performance defined as lift-to-drag ratio was chosen as the objective function of the optimization. Location, velocity amplitude, opening length and jet incidence angle were the control parameters of this optimization.
It was shown that when the velocity amplitude and opening length were maximum, the airfoil reached its highest performance. Moreover, the aerodynamic characteristics of the airfoil were remarkably improved when the jet incident angle approached to 90 degrees. Placing the suction jet actuator in the range between 3 to 6 percent of the airfoil chord, was found to have the greatest effect on improving the aerodynamic performance. For the optimum configuration, the airfoil separation. It was shown that when the velocity amplitude and opening length were maximum, the airfoil reached its highest performance. Moreover, the aerodynamic characteristics of the airfoil were peaked in the range between 90 to 120 degrees, with 107 having the best performance in our database.
Heat Transfer Prediction With Unknown Thermal Boundary Conditions Using Physics-Informed Neural Networks
Authors: Cai Shengze , Wang Zhicheng , Chryssostomidis Chryssostomos , Karniadakis George Em 
Published: October 2020

Abstract
Simulating convective heat transfer using traditional numerical methods requires explicit definition of thermal boundary conditions on all boundaries of the domain, which is almost impossible to fulfill in real applications. Here, we address this ill-posed problem using machine learning techniques by assuming that we have some extra measurements of the temperature at a few locations in the domain, not necessarily located on the boundaries with the unknown thermal boundary condition. In particular, we employ physics-informed neural networks (PINNs) to represent the velocity and temperature fields while simultaneously enforce the Navier-Stokes and energy equations at random points in the domain. In PINNs, all differential operators are computed using automatic differentiation, hence avoiding discretization in either space or time. The loss function is composed of multiple terms, including the mismatch in the velocity and temperature data, the boundary and initial conditions, as well as the residuals of the Navier-Stokes and energy equations. Here, we develop a data-driven strategy based on PINNs to infer the temperature field in the prototypical problem of convective heat transfer in flow past a cylinder. We assume that we have just a couple of temperature measurements on the cylinder surface and a couple more temperature measurements in the wake region, but the thermal boundary condition on the cylinder surface is totally unknown. Upon training the PINN, we can discover the unknown boundary condition while simultaneously infer the temperature field everywhere in the domain with less than 5% error in the Nusselt number prediction. In order to assess the performance of PINN, we carried out a high fidelity simulation of the same heat transfer problem (with known thermal boundary conditions) by using the high-order spectral/hp-element method (SEM), and quantitatively evaluated the accuracy of PINN’s prediction with respect to SEM. We also propose a method to adaptively select the location of sensors in order to minimize the number of required temperature measurements while increasing the accuracy of the inference in heat transfer.
Pipe-Size Scale-Up of Frictional Head Loss in Settling Slurry Flows Using Predictive Models: Experimental Validation
Authors: Matoušek Václav , Visintainer Robert , Furlan John , Sellgren Anders 
Published: October 2020

Abstract
Transported Newtonian settling slurries (mixtures of solid particles and carrying liquid) tend to stratify in a slurry pipeline and the degree of their stratification significantly affects the frictional head loss in a pipeline system. Solid particles can span a broad range of sizes from those typical for fine sand to those typical for coarse gravel. Different fractions of solids have different properties and form different flow patterns. The different patterns are associated with different dominating particle support mechanisms and friction mechanisms in slurry flow. Hence, there are different models describing and predicting the frictional head loss in pipe flows of different settling slurries. In the presented work, we focus on friction-loss models for heterogeneous (partially-stratified) flow (V50-model), and for fully-stratified flow (Vsm-model). The models can serve as tools to scale up information on frictional head loss in flow of specific slurry obtained experimentally in a small laboratory pipe to larger pipes of industrial sizes. So far, the reliability of the scale up has been difficult to verify as an availability of coarse particle experimental data was restricted to small laboratory pipes (an internal diameter of a pipe typically not larger than 100 mm) and data from larger pipes were extremely scarce.
In 2016 and 2019, extensive experimental campaigns were conducted in the GIW Hydraulic Laboratory (Grovetown, GA, U.S.A.) testing flows of Newtonian settling slurries in pipes of 3 very different sizes (103 mm, 203 mm, and 489 mm). We exploit the experimental data to evaluate the pipe-size scale-up ability of the heterogeneous V50-model and the stratified Vsm-model. The evaluation includes an analysis of the pipe-size effect on the characteristic velocities of the models: the suspension velocity V50 and the deposition-limit velocity Vsm.