bluuebunny/crossref_metadata_2025_split huggingface dataset:
Staged mandibular lip flap for closure of a large palatal defect after maxillectomy in a dog
Authors: Chambers Aidan R. , Skinner Owen T. , Reeves Lauren A. , Rau Meagan B. , Luther Jill K. 
Published: February 2021

AbstractObjectiveTo report closure of an oronasal defect secondary to maxillectomy with a staged mandibular lip flap.Study designCase reportAnimalsOne 9‐year‐old female spayed golden retriever.MethodsA combined dorsolateral and intraoral approach was used to perform a central maxillectomy to excise a 2.4‐ × 2‐ × 2.7‐cm oral osteosarcoma with 1‐cm margins. A buccal mucosal flap was used to close the palatal defect but the site subsequently dehisced. A staged mandibular lip flap was performed to close the defect. An incision was made on the mandible at the intersection of the buccal mucosa and gingiva from the mandibular canine to the level of the commissure. A second incision was made 3 cm ventral to the lip margin. The flap pedicle was based at the commissure. The flap was rotated to cover the palatal defect from rostral to the canine tooth to the fourth premolar. A second procedure was performed 4 weeks after flap placement to desquamate the haired skin and transect the flap pedicle.ResultsPartial dehiscence at the caudal aspect of the flap occurred after the first revision. The defect was closed after pedicle transection on day 41, with acceptable cosmesis. The dog was eating canned food with no evidence of discomfort 159 days after the maxillectomy. Recurrence was noted on day 270 postoperatively.ConclusionClosure of a large palatal defect with a staged mandibular lip flap led to good cosmesis and function.
Implementation and Evaluation of a Standardized Nurse‐Administered Assessment of Functional and Psychosocial Issues for Patients in Acute Care
Authors: Peel Nancye M. , Hornby‐Turner Yvonne C. , Osborne Sonya R. , Henderson Amanda , Hubbard Ruth E. , Gray Leonard C. 
Published: February 2021

AbstractBackgroundIncreasingly, adults presenting to healthcare facilities have multiple morbidities that impact medical management and require initial and ongoing assessment. The interRAI Acute Care (AC), one of a suite of instruments used for integrated care, is a nurse‐administered standardized assessment of functional and psychosocial domains that contribute to complexity of patients admitted to acute care.AimThis study aimed to implement and evaluate the interRAI AC assessment system using a multi‐strategy approach based on the integrated Promoting Action on Research Implementation in Health Services (i‐PARIHS) framework.MethodsThis nurse‐led quality improvement study was piloted in a 200‐bed public hospital in Brisbane, Australia, over the period 2017 to 2018. The interRAI AC is a set of clinical observations of functional and psychosocial domains, supported by software to derive diagnostic and risk screeners, scales to measure and monitor severity, and alerts to assist in care planning. Empirical data, surveys, and qualitative feedback were used to measure process and impact outcomes using the RE‐AIM evaluation framework (Reach, Efficacy, Adoption, Implementation, and Maintenance).ResultsIn comparison to usual practice, the interRAI assessment system and supporting software was able to improve the integrity and compliance of nurse assessments, identifying key risk domains to facilitate management of care. Pre‐implementation documentation (630 items in 45 patient admissions) had 39% missing data compared with 1% missing data during the interRAI implementation phase (9,030 items in 645 patient admissions). Qualitative feedback from nurses in relation to staff engagement and behavioral intention to use the new technology was mixed.Linking Evidence to ActionDespite challenges to implementing a system‐wide change, evaluation results demonstrated considerable efficiency gains in the nursing assessment system. For successful implementation of the interRAI AC, study findings suggest the need for interoperability with other information systems, access to training, and continued leadership support.
Multipotent mesenchymal stromal cells derived from porcine exocrine pancreas improve insulin secretion from juvenile porcine islet cell clusters
Authors: Montanari Elisa , Szabó Luca , Balaphas Alexandre , Meyer Jeremy , Perriraz‐Mayer Nadja , Pimenta Joel , Giraud Marie‐Noelle , Egger Bernhard , Gerber‐Lemaire Sandrine , Bühler Leo , Gonelle‐Gispert Carmen 
Published: February 2021

AbstractNeonatal and juvenile porcine islet cell clusters (ICC) present an unlimited source for islet xenotransplantation to treat type 1 diabetes patients. We isolated ICC from pancreata of 14 days old juvenile piglets and characterized their maturation by immunofluorescence and insulin secretion assays. Multipotent mesenchymal stromal cells derived from exocrine tissue of same pancreata (pMSC) were characterized for their differentiation potential and ability to sustain ICC insulin secretion in vitro and in vivo. Isolation of ICC resulted in 142 ± 50 × 103 IEQ per pancreas. Immunofluorescence staining revealed increasing presence of insulin‐positive beta cells between day 9 and 21 in culture and insulin content per 500IEC of ICC increased progressively over time from 1178.4 ± 450 µg/L to 4479.7 ± 1954.2 µg/L from day 7 to 14, P < .001. Highest glucose‐induced insulin secretion by ICC was obtained at day 7 of culture and reached a fold increase of 2.9 ± 0.4 compared to basal. Expansion of adherent cells from the pig exocrine tissue resulted in a homogenous CD90+, CD34−, and CD45− fibroblast‐like cell population and differentiation into adipocytes and chondrocytes demonstrated their multipotency. Insulin release from ICC was increased in the presence of pMSC and dependent on cell‐cell contact (glucose‐induced fold increase: ICC alone: 1.6 ± 0.2; ICC + pMSC + contact: 3.2 ± 0.5, P = .0057; ICC + pMSC no‐contact: 1.9 ± 0.3; theophylline stimulation: alone: 5.4 ± 0.7; pMSC + contact: 8.4 ± 0.9, P = .013; pMSC no‐contact: 5.2 ± 0.7). After transplantation of encapsulated ICC using Ca2+‐alginate (alg) microcapsules into streptozotocin‐induced diabetic and immunocompetent mice, transient normalization of glycemia was obtained up to day 7 post‐transplant, whereas ICC co‐encapsulated with pMSC did not improve glycemia and showed increased pericapsular fibrosis. We conclude that pMSC derived from juvenile porcine exocrine pancreas improves insulin secretion of ICC by direct cell‐cell contact. For transplantation purposes, the use of pMSC to support beta‐cell function will depend on the development of new anti‐fibrotic polymers and/or on genetically modified pigs with lower immunogenicity.
Advanced practice nurse professional advancement programs: a scoping review
Authors: Hankins Alisia , Palokas Michelle , Christian Robin 
Published: February 2021

ABSTRACT

Objective:
The objective of this review was to explore existing literature related to advanced practice nurse professional advancement programs, to examine and map the evidence, and to identify any gaps in the literature.

Introduction:
Internationally, there is literature regarding the implementation and benefits of professional advancement programs for staff nurses, but there is scant literature addressing professional advancement programs for advanced practice nurses. Professional advancement programs may enhance workplace engagement and foster retention by empowering employees to grow and excel.

Inclusion criteria:
This scoping review considered studies that included advanced practice nurses in direct patient care roles participating in professional advancement programs. The concept of the review was advanced practice nurse professional advancement programs and related criteria and characteristics (eg, length of service, performance review, educational preparation) and outcomes (eg, improved recruitment, retention, employee satisfaction). Studies conducted in any setting and geographical location where advanced practice nurses were employed were included.

Methods:
Studies published in English from 1965 to search date were included. The databases searched included PubMed, CINAHL, Embase, Scopus, and PsycINFO. The search for unpublished evidence and gray literature included ProQuest Dissertations and Theses, MedNar, and various hospital websites. Retrieval of full-text studies and data extraction was performed independently by two reviewers. The extracted data is presented in diagrammatic or tabular form with an accompanying narrative summary.

Results:
Nine descriptive studies were included in this review. All nine studies detailed the names of advancement programs, and provided characteristics and criteria for advancement for those participating in the programs. In addition, six studies described benefits of advancement, two studies described outcomes associated with advancement, and two studies described outcomes and benefits.

Conclusion:
There are few advanced practice nurse professional advancement programs discussed in the literature. In the included studies detailing these programs, there were wide variations in the names, criteria, and characteristics. There is also limited data available regarding outcomes associated with advanced practice nurse professional advancement programs.
Parents and health professionals’ experiences and perceptions of blended feeding in tube-fed children: a qualitative systematic review protocol
Authors: Doyle Carmel , Louw Julia , Shovlin Amanda , Flynn Michael , Cook Jessica Eustace , Quirke Mary 
Published: February 2021

ABSTRACT

Objective:
The objective of this review is to identify and synthesize the best available evidence on parents’ and health professionals’ experiences and perceptions of blended feeding in tube-fed children in order to promote effective decision-making on its use.

Introduction:
Blended feeding is not a new concept, despite the fact that commercial formulas have displaced its use in recent years. As feeding is viewed as an intimate experience between a parent and child, the choice of individualized blended feeds is something to be considered; however, professionals find there is a lack of evidence and discussion to support the use of blended feeding in practice. Therefore, the findings of this review may be beneficial, especially for professionals, and inform or promote more effective decision-making on the use of blended feeding.

Inclusion criteria:
This review will consider studies that investigate parents and/or health professionals’ experiences and perceptions of total or partial blended feeding in tube-fed children. Studies published in English that focus on qualitative data will be considered. There will be no restrictions on year or publication.

Methods:
The key information sources to be searched are: CINAHL Complete, MEDLINE, PsycINFO, Embase, Web of Science, WHO Library Database (GIM), and Google Scholar, along with several sources of gray literature. Two reviewers will independently screen titles and abstracts against the inclusion criteria, and will retrieve full text studies, assess methodological quality, and extract data. Findings will be pooled using meta aggregation, and a ConQual Summary of Findings will be presented.

Systematic review registration number:
PROSPERO (CRD42020160357)
Combustion Tuning for a Gas Turbine Power Plant Using Data-Driven and Machine Learning Approach
Authors: Li Suhui , Zhu Huaxin , Zhu Min , Zhao Gang , Wei Xiaofeng 
Published: February 2021

Abstract
Conventional physics-based or experimental-based approaches for gas turbine combustion tuning are time consuming and cost intensive. Recent advances in data analytics provide an alternative method. In this paper, we present a cross-disciplinary study on the combustion tuning of an F-class gas turbine that combines machine learning with physics understanding. An artificial-neural-network-based (ANN) model is developed to predict the combustion performance (outputs), including NOx emissions, combustion dynamics, combustor vibrational acceleration, and turbine exhaust temperature. The inputs of the ANN model are identified by analyzing the key operating variables that impact the combustion performance, such as the pilot and the premixed fuel flow, and the inlet guide vane angle. The ANN model is trained by field data from an F-class gas turbine power plant. The trained model is able to describe the combustion performance at an acceptable accuracy in a wide range of operating conditions. In combination with the genetic algorithm, the model is applied to optimize the combustion performance of the gas turbine. Results demonstrate that the data-driven method offers a promising alternative for combustion tuning at a low cost and fast turn-around.
Optimization of Underbody Blast Energy-Attenuating Seat Mechanisms Using Modified MADYMO Human Body Models
Authors: Bosch Kelly E. B. , Bailey Good Ann , Spratley E. Meade , Salzar Robert S. , Begeman Paul C. , Cavanaugh John M. 
Published: February 2021

Abstract
Though energy attenuating (EA) seats for air and spacecraft applications have existed for decades, they have not yet been fully characterized for their energy attenuation capability or resulting effect on occupant protection in vertical underbody blast. EA seats utilize stroking mechanisms to absorb energy and reduce the vertical forces imparted on the occupant's pelvis and lower spine. Using dynamic rigid-body modeling, a virtual tool to determine optimal force and deflection limits was developed to reduce pelvis and lower spine injuries in underbody blast events using a generic seat model. The tool consists of a mathematical dynamic model (MADYMO)-modified human body model (HBM), basic EA seat model, and an optimizing sequence using modefrontier software. This optimizing tool may be shared with EA seat manufacturers and applied to military seat development efforts for EA mechanisms for a given occupant and designated blast severity. To optimally tune the EA seat response, the MADYMO human body model was first updated to improve its fidelity in kinematic response data for high rate vertical accelerative loading relative to experimental data from laboratory simulated underbody blast tests using postmortem human surrogates (PMHS). Subsequently, using available injury criteria for underbody blast, the optimization tool demonstrated the ability to identify successful EA mechanism critical design value configurations to reduce forces and accelerations in the pelvis and lower spine HBM to presumed noninjurious levels. This tool could be tailored by varying input pulses, force and deflection limits, and occupant size to evaluate EA mechanism designs.
A Novel Kinematic Model of the Tibiofemoral Joint Based on a Parallel Mechanism
Authors: Arredondo-Soto Mauricio , García-Murillo Mario A. , Vidal-Lesso Agustín , Jesús Cervantes-Sánchez J. , Moreno Hector A. 
Published: February 2021

Abstract
This paper presents a complete kinematic model of the tibiofemoral joint (TFJ) based on a RRPP + 4-SPS parallel mechanism, where R, P, and S stand for revolute, prismatic, and spherical joints, respectively. The model accounts for the contact between tibia and femur, and the four major ligaments: anterior cruciate, posterior cruciate, medial collateral, and lateral collateral, with anatomical significance in their length variations. An experimental flexion passive motion task is performed, and the kinematic model is tested to determine its capability to reproduce the workspace of the motion task. In addition, an optimization process is performed to simulate prescribed ligament length variations during the motion task. The proposed kinematic model is capable to reproduce with high accuracy an experimental three-dimensional workspace, and at the same time, to simulate prescribed ligament length variation during the spatial flexion task. Prescribed ligament length variations are achieved through an optimization process of the ligament insertion points. This model can be used to improve the multibody kinematic optimization (MKO) process during gait analysis, and also in the design of rehabilitation devices as well as trajectories to accelerate the recovery of injured ligaments. The model shows potential to predict ligament length variations during different motion tasks, and can serve as a basis to develop complex models for kinetostatic and dynamic analyses without dealing with computationally expensive models.
Mechanobiology in Tendon, Ligament, and Skeletal Muscle Tissue Engineering
Authors: Bramson Michael T. K. , Van Houten Sarah K. , Corr David T. 
Published: February 2021

AbstractTendon, ligament, and skeletal muscle are highly organized tissues that largely rely on a hierarchical collagenous matrix to withstand high tensile loads experienced in activities of daily life. This critical biomechanical role predisposes these tissues to injury, and current treatments fail to recapitulate the biomechanical function of native tissue. This has prompted researchers to pursue engineering functional tissue replacements, or dysfunction/disease/development models, by emulating in vivo stimuli within in vitro tissue engineering platforms—specifically mechanical stimulation, as well as active contraction in skeletal muscle. Mechanical loading is critical for matrix production and organization in the development, maturation, and maintenance of native tendon, ligament, and skeletal muscle, as well as their interfaces. Tissue engineers seek to harness these mechanobiological benefits using bioreactors to apply both static and dynamic mechanical stimulation to tissue constructs, and induce active contraction in engineered skeletal muscle. The vast majority of engineering approaches in these tissues are scaffold-based, providing interim structure and support to engineered constructs, and sufficient integrity to withstand mechanical loading. Alternatively, some recent studies have employed developmentally inspired scaffold-free techniques, relying on cellular self-assembly and matrix production to form tissue constructs. Whether utilizing a scaffold or not, incorporation of mechanobiological stimuli has been shown to improve the composition, structure, and biomechanical function of engineered tendon, ligament, and skeletal muscle. Together, these findings highlight the importance of mechanobiology and suggest how it can be leveraged to engineer these tissues and their interfaces, and to create functional multitissue constructs.
Topology-Dependent Excitation Response of Networks of Linear and Nonlinear Oscillators
Authors: Mao Yu , Dankowicz Harry 
Published: February 2021

Abstract
This paper investigates the near-resonance response to exogenous excitation of a class of networks of coupled linear and nonlinear oscillators with emphasis on the dependence on network topology, distribution of nonlinearities, and damping ratios. The analysis shows a qualitative transition between the behaviors associated with the extreme cases of all linear and all nonlinear oscillators, respectively, even allowing for such a transition under continuous variations in the damping ratios but for fixed topology. Theoretical predictions for arbitrary members of the network class using the multiple-scales perturbation method are validated against numerical results obtained using parameter continuation techniques. The latter include the tracking of families of quasi-periodic invariant tori emanating from saddle-node and Hopf bifurcations of periodic orbits. In networks in the class of interest with special topology, 1:1 and 1:3 internal resonances couple modes of oscillation, and the conditions to suppress the influence of these resonances are explored.
A Low-Fidelity Stochastic Model of Viral Spread in Aircraft to Assess Risk Mitigation Strategies
Authors: McCue Leigh 
Published: February 2021

Abstract
The purpose of this work is to develop a computationally efficient model of viral spread that can be utilized to better understand the influences of stochastic factors on a large-scale system – such as the air traffic network. A particle-based model of passengers and seats aboard a single-cabin 737-800 is developed for use as a demonstration of the concept on tracking the propagation of a virus through the aircraft's passenger compartment over multiple flights. The model is sufficiently computationally efficient to be viable for Monte Carlo simulation to capture various stochastic effects, such as number of passengers, number of initially sick passengers, seating locations of passengers, and baseline health of each passenger. The computational tool is then exercised in demonstration for assessing risk mitigation of intervention strategies, such as passenger-driven cleaning of seating environments and elimination of middle seating.
Motility Response to Hydrodynamic Stress During the Growth Cycle in Active Fluid Suspensions
Authors: Fadlallah Hadi , Peerhossaini Hassan , De Groot Christopher , Jarrahi Mojtaba 
Published: February 2021

Abstract
In this work, we focus on the motility behavior of two model micro-organisms widely used in the study of active fluids: Chlamydomonas reinhardtii micro-alga and Synechocystis sp. cyanobacterium. Understanding the physiological responses of micro-organisms under variable environmental conditions is essential for bioreactor engineering. Yet, most of the previous studies focused on the observation of cellular motility regardless of the growth process. Here, we measure the motility of Chlamydomonas reinhardtii and Synechocystis sp. during their growth when subjected to different intensities of hydrodynamic shear stress. The results demonstrate a significant difference in the motility response of the two species against the applied hydrodynamic shear stress. Mechanical agitation appears to affect the motility of Chlamydomonas reinhardtii micro-algae by stimulating the growth process and increasing the magnitude of the cellular swimming velocity. This effect is described using an empirical model for the time variation of the motility. Synechocystis cells show a high endurance to the applied shear such that the global effect of agitation intensity on their motility is insignificant. However, it seems that the peak of the swimming velocity always occurs in the middle of exponential phase of growth.
Enhancing Cryogenic Cavitation Prediction Through Incorporating Modified Cavitation and Turbulence Models
Authors: Sun Shan , Sun Jinju , Sun Wanyou , Song Peng 
Published: February 2021

Abstract
Cavitating flow prediction is essential for designing cavitation-resistant hydraulic machines. Despite the advances achieved in normal-temperature cavitation prediction, cryogenic cavitation prediction has remained a challenging task in which thermal effects play a significant role. This study aims to enhance the prediction of cryogenic cavitation, and both the cavitation and turbulence models are improved simultaneously. The original cavitation model embedded in the CFX flow solver is modified by incorporating additional source terms (such as mass and heat transfer rates) for dual evaporation and condensation processes. The renormalization group k–ε turbulence model is modified on the basis of the filter-based turbulence model and density correction method to permit a smooth prediction of turbulence eddy viscosity, which mitigates the overestimation of the turbulence length scale in the cryogenic cavity (which is intrinsic to the original renormalization group k–ε turbulence model). The modified cavitation and turbulence models are implemented through CFX Expression Language (CEL) within the CFX frame. To verify the modified models and the enhancement of cryogenic cavitation prediction, Hord's liquefied nitrogen (LN2) and liquefied hydrogen (LH2) experiments over a hydrofoil and ogive are used, and cavitating flow simulation is conducted for each of the test cases. When using the modified models, the predicted temperature and pressure curves agree well with the measured values, and the predicted cavity lengths are much closer to the measured lengths. It is proven that the cryogenic cavitating flow can be well depicted by the modified models.