bluuebunny/crossref_metadata_2025_split huggingface dataset:
Young children's differential use of power during family conflict: A longitudinal study
Authors: Della Porta Sandra , Persram Ryan J. , Howe Nina , Ross Hildy S. 
Published: July 2021

AbstractThis study identified longitudinal and birth order differences in young children's use of power over a 2‐year period; the sample included 2‐ and 4‐year‐old (T1) and 4‐ and 6‐year‐old (T2) siblings (n = 39). Power was investigated via its use (i.e., actions) and effectiveness (i.e., successful actions) during naturally occurring polyadic family conflicts at home involving three or more family members (two children and at least one parent or two parents and at least one child). Observations were transcribed and sequences of polyadic family conflict (T1 n = 780; T2 n = 210) were identified and coded for power (coercive, reward, legitimate, simple, information) and conflict resolution (win‐lose, compromise, no resolution); win‐lose resolution was used as an indicator of power effectiveness, by isolating winning cases for the analyses. Differences in power use and effectiveness were revealed across both time points and birth order, namely between 4‐year‐old older siblings at T1 and 4‐year‐old younger siblings at T2. Results provide insight into young children's power behavior within the family context.
The Danish wound‐quality of life (Wound‐QoL) questionnaire: Translation and psychometric properties
Authors: Knudsen Jane Thinggaard , Johansen Charlotte W. , Hansen Alice Ø. , Eshoj Henrik R. 
Published: July 2021

AbstractHard to heal (HTH) wounds often result in a prolonged and painful healing process that affects different dimensions of patients' quality of life. Currently, there is no Danish patient‐reported instrument to help professionals and patients identify and measure these different aspects of quality of life. Wound‐quality of life (Wound‐QoL) is a German 17‐item questionnaire measuring dimensions of wound‐specific quality of life. The aim was to translate and cross‐culturally adapt the Wound‐QoL into Danish and to evaluate its psychometric properties. Translation was conducted in accordance with international guidelines. Validity, reliability and responsiveness were evaluated in accordance with the COSMIN guideline. The Wound‐QoL was successfully translated to Danish and content validity showed to be very good in a Danish context. A total of 172 patients with HTH wounds were included in the study and all participants completed the Wound‐QoL. Out of these, respectively 54 and 155 patients were included in the analyses of test–retest reliability and responsiveness. Correlations for construct validity (EQ‐5D‐5L vs. Wound‐QoL) ranged between 0.64 and 0.73. Cronbach's alpha values for internal consistency ranged between 0.77 and 0.92. Intra‐class‐correlation coefficients for test–rest reliability ranged between 0.73 and 0.88. Smallest detectable change scores at individual and group level ranged from 0.77 to 1.26 and 0.10 to 0.17, respectively. Minimal important change scores ranged from 1.20 to 1.33. Results of the responsiveness analyses showed sensitivity and specificity values between 56.1 to 62.2 and 57.7 to 63.2, respectively. In conclusion, the Danish Wound‐QoL is a valid and reliable patient‐reported outcome measure for assessing aspects of health‐related quality of life in patients with hard ho heal wounds. However, the Wound‐QoL demonstrated limited ability to discriminate between patients with clinically relevant improvements and patients that showed no changes. Thus, the responsiveness of the Wound‐QoL should be taken into consideration if to be used as treatment effect measure.
Gaussian Process-Based Model to Optimize Additively Manufactured Powder Microstructures From Phase Field Modeling
Authors: Batabyal Arunabha , Sagar Sugrim , Zhang Jian , Dube Tejesh , Yang Xuehui , Zhang Jing 
Published: July 2021

Abstract
A persistent problem in the selective laser sintering process is to maintain the quality of additively manufactured parts, which can be attributed to the various sources of uncertainty. In this work, a two-particle phase-field microstructure model has been analyzed using a Gaussian process-based model. The sources of uncertainty as the two input parameters were surface diffusivity and interparticle distance. The response quantity of interest (QOI) was selected as the size of the neck region that develops between the two particles. Two different cases with equal and unequal-sized particles were studied. It was observed that the neck size increased with increasing surface diffusivity and decreased with increasing interparticle distance irrespective of particle size. Sensitivity analysis found that the interparticle distance has more influence on variation in neck size than that of surface diffusivity. The machine learning algorithm Gaussian process regression was used to create the surrogate model of the QOI. Bayesian optimization method was used to find optimal values of the input parameters. For equal-sized particles, optimization using Probability of Improvement provided optimal values of surface diffusivity and interparticle distance as 23.8268 and 40.0001, respectively. The Expected Improvement as an acquisition function gave optimal values of 23.9874 and 40.7428, respectively. For unequal-sized particles, optimal design values from Probability of Improvement were 23.9700 and 33.3005, respectively, while those from Expected Improvement were 23.9893 and 33.9627, respectively. The optimization results from the two different acquisition functions seemed to be in good agreement.
Application of Deep Transfer Learning and Uncertainty Quantification for Process Identification in Powder Bed Fusion
Authors: Pandita Piyush , Ghosh Sayan , Gupta Vipul K. , Meshkov Andrey , Wang Liping 
Published: July 2021

Abstract
Accurate identification and modeling of process maps in additive manufacturing remains a pertinent challenge. To ensure high quality and reliability of the finished product researchers, rely on models that entail the physics of the process as a computer code or conduct laboratory experiments, which are expensive and oftentimes demand significant logistic and overheads. Physics-based computational modeling has shown promise in alleviating the aforementioned challenge, albeit with limitations like physical approximations, model-form uncertainty, and limited experimental data. This calls for modeling methods that can combine limited experimental and simulation data in a computationally efficient manner, in order to achieve the desired properties in the manufactured parts. In this paper, we focus on demonstrating the impact of probabilistic modeling and uncertainty quantification on powder-bed fusion (PBF) additive manufacturing by focusing on the following three milieu: (a) accelerating the parameter development processes associated with laser powder bed fusion additive manufacturing process of metals, (b) quantifying uncertainty and identifying missing physical correlations in the computational model, and (c) transferring learned process maps from a source to a target process. These tasks demonstrate the application of multifidelity modeling, global sensitivity analysis, intelligent design of experiments, and deep transfer learning for a meso-scale meltpool model of the additive manufacturing process.
Viability of Cryogenic Cooling to Reduce Processor Power Consumption
Authors: Nordlund Alec , Harrison Matthew , Gess Joshua 
Published: July 2021

Abstract
Through the application of cryogenic cooling via liquid nitrogen (LN2), the power consumption of a CPU was substantially reduced. Using a digitally controlled solenoid valve and an additively manufactured cold plate, the manual process of LN2 cooling was automated for precise control of cold plate temperature. The power consumption and frequency relationship of the processor were established across three different thermal solutions to demonstrate the effect of temperature on this relationship. It was found that power consumption of the processor decreased at lower temperatures due to a reduction in current leakage and the core voltage necessary for stable operation. This culminated in a reduction of up to 10.7% in processor power consumption for the automated solution and 21.5% for the manual LN2 solution when compared to the air-cooled baseline. Due to the binary nature of the solenoid valve used, flow rate was tuned via an in-line needle valve to increase thermal stability. It was found that for lower flow rates, approximately 5.0 g/s, temperatures oscillated within a range of ±11.5 °C while for higher flow rates of 10–12 g/s, generated amplitudes are as small as ±3.5 °C. Additionally, several tests measured the rate of LN2 consumption and found that the automated solution used 230%–280% more coolant than the manual thermal solution, implying there is room for improvement in the cold plate geometry, LN2 vapor exhaust design, and coolant delivery optimization.
Convective Heat Transfer of Laminar Swirling Pipe Flow With Viscous Dissipation Effects
Authors: Rocha André Damiani , Gallego Antonio Garrido 
Published: July 2021

Abstract
The oil-water-gas separation is a critical aspect of the treatment of production flows in the oil industry. The segregation of gas bubbles and/or water droplets dispersed in viscous oil by an in-line swirling flow separator has been considered by the oil industry for topside and subsea applications. For high viscosity oils, heat transfer processes can be affected. Works addressing these applications are rare in the literature. In this way, the article presents a numerical investigation on heat transfer characteristics in a decaying swirling flow, considering the effects of viscosity dissipation due to the high viscosity of the fluid. The flow has both velocity and temperature profiles developing simultaneously in a tube with a constant diameter having a uniform wall heat flux in a laminar flow regime, particularly the behavior of heat transfer characteristics for strongly swirling numbers considering viscous dissipation. Three swirl numbers (S = 0.0, 0.3, and 0.7) and five Brinkman numbers (Br = 0.0, 0.1, 0.5, 1.0, and 10.0) were investigated and the effects of those parameters on the dimensionless temperature profiles, Nusselt number and viscous dissipation function were examined. The heat transfer analysis indicated that the swirling flow affects the fluid's axial and radial temperature distribution. They promoted increased fluid in wall temperature and bulk temperature and affected the local Nusselt number distribution.
Anisotropy Properties of Turbulence in Flow Over Seepage Bed
Authors: Sharma Anurag , Kumar Bimlesh 
Published: July 2021

Abstract
This present study analyzes the Reynolds stress anisotropy in the nonuniform sediment beds under the condition of no seepage and downward seepage flow. The results show the estimation of the deviation measure from the isotropic turbulence in view of Reynolds stress tensor for turbulent flow in the presence of seepage through the channel bed. The investigation presents the Lumley triangle for flow turbulence, Eigen values, and the invariant functions for the whole flow depth subjected to no seepage and seepage beds. The longitudinal profile of anisotropy tensor within the near-bed zone for seepage flow provides the higher anisotropic stream than those of no seepage flow, while the remaining (transverse and vertical) profiles of anisotropy tensor in the vicinity of bed for seepage flows provide lower anisotropic stream. The anisotropic invariant maps show the near bed anisotropy inclining to be a two-component isotropy subjected to no seepage and seepage flow. With the increase in vertical distance from bed surface that is close to the water surface, the data sets of anisotropic invariant maps for no seepage and seepage flows show a trend of one-component isotropy, while it has an affinity to develop a three-component isotropy in the vicinity of midzone of the flow depth. Invariant function data sets present a well two-component isotropy in the near bed region of flow and a quasi-three component isotropy in the outer region of flow for seepage flows as compared to no seepage flow.
Reliability and Minimal Detectable Change for a Smartphone-Based Motor-Cognitive Assessment: Implications for Concussion Management
Authors: Howell David R. , Seehusen Corrine N. , Wingerson Mathew J. , Wilson Julie C. , Lynall Robert C. , Lugade Vipul 
Published: July 2021

Our purpose was to investigate the reliability and minimal detectable change characteristics of a smartphone-based assessment of single- and dual-task gait and cognitive performance. Uninjured adolescent athletes (n = 17; mean age = 16.6, SD = 1.3 y; 47% female) completed assessments initially and again 4 weeks later. The authors collected data via an automated smartphone-based application while participants completed a series of tasks under (1) single-task cognitive, (2) single-task gait, and (3) dual-task cognitive-gait conditions. The cognitive task was a series of continuous auditory Stroop cues. Average gait speed was consistent between testing sessions in single-task (0.98, SD = 0.21 vs 0.96, SD = 0.19 m/s;P = .60;r = .89) and dual-task (0.92, SD = 0.22 vs 0.89, SD = 0.22 m/s;P = .37;r = .88) conditions. Response accuracy was moderately consistent between assessments in single-task standing (82.3% accurate, SD = 17.9% vs 84.6% accurate, SD = 20.1%;P = .64;r = .52) and dual-task gait (89.4% accurate, SD = 15.9% vs 85.8% accurate, SD = 20.2%;P = .23;r = .81) conditions. Our results indicate automated motor-cognitive dual-task outcomes obtained within a smartphone-based assessment are consistent across a 1-month period. Further research is required to understand how this assessment performs in the setting of sport-related concussion. Given the relative reliability of values obtained, a smartphone-based evaluation may be considered for use to evaluate changes across time among adolescents, postconcussion.
Pelvic splenosis mimicking a suspicious adnexal mass
Authors: Peter Clarisse , Tille Jean-Christophe , Botsikas Diomidis , Petignat Patrick 
Published: July 2021

A 58-year-old asymptomatic woman was referred to our gynecologic oncology unit for the management of a left adnexal mass found during a routine gynecologic examination. Her personal history included an emergency splenectomy at the age of 4 years old, following traumatic splenic laceration after a car accident. The patient’s work-up (including transvaginal ultrasound and MRI) confirmed a pelvic solid mass, which was reported as suspicious for malignancy and classified as Ovarian-Adnexal Reporting & Data System-MRI 5. An exploratory laparoscopy was performed, showing a reddish blue lesion located at the left broad ligament. Histologic analysis showed the presence of splenic tissue and normal adnexa. The postoperative follow-up was uneventful.Pelvic splenosis is a challenging diagnosis rarely made preoperatively due to concern for malignancy. In the presence of a pelvic mass, the collection of a detailed patient’s history, including information about previous splenic rupture, might raise suspicion for pelvic splenosis.
Optimising expert dyad performance in acute care settings: a scoping review protocol
Authors: Walker Katie , Asoodar Maryam , Rudolph Jenny , Meguerdichian Michael , Yusaf Tricia , Campbell-Taylor Kimberly , van Merriënboer Jeroen 
Published: July 2021

IntroductionWhen there is miscommunication and poor coordination between experienced clinician dyads, teamwork suffers. Research on expert learning practices for the smallest team, and arguably the most important team, the healthcare dyad, is limited. The objective of this study is to map the extent and range of evidence available on learning practices which experienced dyads use, to achieve excellent performance, and to identify the gaps in effective practice. This will guide future research, policy and practice.Methods and analysisWe are using the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews Extension Fillable Checklist, searching for literature that meets the inclusion criteria. The searches will be conducted using Maastricht University’s Libsearch, which includes MEDLINE, Education Resources Information Center and PsycINFO and a second search on Web of Science online databases. We will search grey literature and references of selected sources. Search limits include sources from 2016 to 2021, using English language only. A data extraction tool was developed, and charting will use a thematic analysis approach.Implications and disseminationThis review will be the first to examine the learning practices that experienced dyads use, which ensures excellent performance in acute care settings. The findings will be used to develop best-practices and shared with New York City hospital system. Dissemination will occur through peer-reviewed publications and at healthcare conferences.
National cross-sectional survey of 1.14 million NHS staff SARS-CoV-2 serology tests: a comparison of NHS staff with regional community seroconversion rates
Authors: Coltart Cordelia E M , Wells David , Sutherland Esther , Fowler Aidan 
Published: July 2021

ObjectivesAn initial report of findings from 1.14 million SARS CoV-2 serology tests in National Health Service (NHS) staff to compare NHS staff seroconversion with community seroconversion rates at a regional level.DesignA national cross-sectional survey.SettingA SARS-CoV-2 antibody testing programme offered across all NHS Trusts.Participants1.14 million NHS staff.InterventionSARS-CoV-2 antibody testing.Primary and secondary outcome measuresSARS-CoV-2 antibody testing was used to estimate the seroprevalence of SARS-CoV-2 in NHS staff by region, compared with community seroprevalence as determined by the COVID-19 Infection Survey (Office for National Statistics). We also explored seroprevalence trends by regional COVID-19 activity, using regional death rates as a proxy for COVID-19 ‘activity’.Results1 146 310 tests were undertaken on NHS staff between 26 May and 31 August 2020. 186 897 NHS tests were positive giving a seroconversion rate of 16.3% (95% CI 16.2% to 16.4%), in contrast to the national community seroconversion rate of 5.9% (95% CI 5.3% to 6.6%). There was significant geographical regional variation, which mirrored the trends seen in community prevalence rates. NHS staff were infected at a higher rate than the general population (OR 3.1, 95% CI 2.8 to 3.5). NHS seroconversion by regional death rate suggested a trend towards higher seroconversion rates in the areas with higher COVID-19 ‘activity’.ConclusionsThis is the first cross-sectional survey assessing the risk of COVID-19 disease in healthcare workers at a national level. It is the largest study of its kind. It suggests that NHS staff have a significantly higher rate of COVID-19 seroconversion compared with the general population in England, with regional variation across the country which matches the background population prevalence trends. There was also a trend towards higher seroconversion rates in areas which had experienced high COVID-19 clinical activity. This work has global significance in terms of the value of such a testing programme and contributing to the understanding of healthcare worker seroconversion at a national level.
Ambulance waiting and associated work flow improvement strategies: a pilot study to improve door-in-door-out time for thrombectomy patients in a primary stroke center
Authors: Gaynor Eva , Griffin Emma , Thornton John , Alderson Jack , Martin Mary , O'Driscoll Anne , Daly Patricia , O'Donnell Cathal , Conroy Ronan , O'Brien Paul 
Published: July 2021

BackgroundRapid access to thrombectomy for patients with large vessel occlusion (LVO) acute ischemic stroke (AIS) is critical for improving outcome. A major challenge for the ‘drip and ship’ model is reducing the door-in-door-out time (DIDO). We propose a new protocol with the aim of reducing DIDO, without adversely affecting emergency service usage time.MethodsConsecutive patients with suspected LVO AIS admitted to a Primary Stroke Center (PSC) from October 2018 to January 2021 were included. On arrival, the ambulance crew remained with the patient. Following immediate clinical and radiological evaluation, patients were transferred to the Comprehensive Stroke Center (CSC) by the same waiting crew. Key time metrics were collected and compared with historical data prior to the new protocol.Results27 patients had an LVO amenable for mechanical thrombectomy during the time period. There was a significant reduction in the DIDO times compared with the historical group (median 45 min vs 96 min; p<0.0001). There was no significant difference in ambulance usage time between the two time periods (median 53 min vs 45 min; p=0.530). There was an increase in ambulance usage time in FAST-positive patients not for transfer in the pilot group compared with FAST-positive patients not for transfer in the historical group (27 min vs 58 min; p<0.001). In addition, door-to-needle times (24 min vs 40 min; p=0.018) and door-to-CT times (11 min vs 25 min; p<0.0001) improved between the two groups.ConclusionOur data show a significant reduction in the DIDO for patients transferred for thrombectomy, with no adverse effects on ambulance usage time.
Transcriptome analysis reveals genes potentially related to high fiber strength in a Gossypium hirsutum line IL9 with Gossypium mustelinum introgression
Authors: Chen Qi , Wang Wei , Khanal Sameer , Han Jinlei , Zhang Mi , Chen Yan , Li Zhenjiang , Wang Kai , Paterson Andrew H. , Yu Jiwen , Chee Peng W. , Wang Baohua 
Published: July 2021

Cotton (Gossypium L.) is the most important fiber crop worldwide. Here, transcriptome analysis was conducted on developing fibers of a G. mustelinum introgression line, IL9, and its recurrent parent, PD94042, at 17 and 21 days post-anthesis (dpa). Differentially expressed genes (DEGs) of PD94042 and IL9 were identified. Gene Ontology (GO) enrichment analysis showed that the annotated DEGs were rich in two main biological processes and two main molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis likewise showed that the annotated DEGs were mainly enriched in metabolic pathways and biosynthesis of secondary metabolites. In total, 52 DEGs were selected as candidate genes based on comparison of the DEGs and GO function annotation information. Quantitative real-time PCR (RT-qPCR) analysis results for 12 randomly selected DEGs were consistent with transcriptome analysis. SNP identification based on G. mustelinum chromatin segment introgression showed that 394 SNPs were identified in 268 DEGs, and two genes with known functions were identified within fiber strength quantitative trait loci (QTL) regions or near the confidence intervals. We identified 52 key genes potentially related to high fiber strength in a G. mustelinum introgression line and provided significant insights into the study of cotton fiber quality improvement.