bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surgical techniques for medial Patellofemoral ligament reconstruction: a systematic review and meta‐analysis of level I and II studies
Authors: Kahlon Harjind , Vivekanantha Prushoth , Blackman Benjamin , Cohen Dan , Mckechnie Tyler , Park Lily , de SA Darren 
Published: June 2023

AbstractPurposeTo determine the most optimal surgical technique for medial patellofemoral ligament reconstruction (MPFLR).MethodsThree databases MEDLINE, PubMed, and EMBASE were searched from inception to December 13th, 2022, for level I or II studies comparing MPFLR techniques. The authors adhered to the PRISMA and R‐AMSTAR guidelines as well as the Cochrane Handbook for Systematic Reviews of Interventions. Data on patient‐reported outcome measures were recorded. Quality assessment was carried out using the MINORS and Cochrane Risk of Bias assessment tools. Certainty of evidence was carried out with the GRADE assessment tool.ResultsTen studies comprising 723 patients (723 knees) were included in this review. The weighted mean difference in Kujala, Lysholm, and IKDC scores comparing single‐ and double‐tunnel patellar drilling techniques was 2.66 (95% CI −1.05–6.37, p = 0.16, I2 = 0%) with moderate certainty, 0.78 (95% CI −9.02–10.58, p = 0.88, I2 = 87%) with low certainty, and 1.71 (95% CI −2.43–5.86, p = 0.42, I2 = 0%) with low certainty, respectively. Double‐suture anchor patellar fixation demonstrated greater Kujala scores than transpatellar fixation (87.1 ± 2.8 vs 84.0 ± 3.8, p < 0.001) with moderate certainty. Y‐shaped graft patellar fixation demonstrated superior Kujala scores to C‐shaped graft patellar fixation (95.9 ± 4.7 vs 91.3 ± 9.7, p = 0.001) with moderate certainty. Augmentation of femoral fixation with polyester sutures demonstrated superior Kujala scores (97.8 ± 6.4. vs 88.0 ± 6.3, p < 0.005) with low certainty. Four‐stranded grafts demonstrated greater Kujala scores than two‐stranded grafts (93.5 ± 2.6 vs 91.6 ± 3.5, p = 0.01) with low certainty.ConclusionThe optimal MPFLR surgical technique is likely to utilize a four‐stranded graft using either endobutton, double‐suture anchor, or transosseous suture patellar fixation with polyester suture augmented interference screw femoral fixation. Orthopedic surgeons can consider employing such a technique to improve patient outcomes by conferring greater graft stability, strength, and function.Level of evidence Level II.
Analysing medical predictors for the outcome of infertility treatment: a 5-year follow-up survey
Authors: Stein Lea Joana , Rösner Sabine , Lo Giudice Alessandra , Ditzen Beate , Wischmann Tewes 
Published: June 2023

Abstract
Purpose
For many couples, bearing children is a common life goal; however it cannot always be fulfilled. Undergoing infertility treatment does not always guarantee pregnancies and live births. Couples experience miscarriages and even discontinue infertility treatment. Significant medical predictors for the outcome of infertility treatment have yet to be fully identified.

Methods
To further our understanding, a cross-sectional 5-year follow-up survey was undertaken, in which 95 women and 82 men that have been treated at the Women’s Hospital of Heidelberg University participated. Binary logistic regressions, parametric and non-parametric methods were used for our sample to determine the relevance of biological (infertility diagnoses, maternal and paternal age) and lifestyle factors (smoking, drinking, over- and underweight) on the outcome of infertility treatment (clinical pregnancy, live birth, miscarriage, dropout rate). In addition, chi-square tests were used to examine differences in the outcome depending on the number of risk factors being present.

Results
In the binary logistic regression models for clinical pregnancies, live births and drop outs were statistically significant only for the maternal age, whereas the maternal and paternal BMI, smoking, infertility diagnoses and infections showed no significant predicting effect on any of the outcome variables. A correlation between the number of risk factors and the outcome of infertility treatment could not be excluded.

Conclusion
The results confirm that maternal age has an effect on infertility treatment, whereas the relevance of other possible medical predictors remains unclear. Further large-scale studies should be considered to increase our knowledge on their predictive power.
Patient-reported experiences of cancer care related to the COVID-19 pandemic in Switzerland
Authors: Colomer-Lahiguera Sara , Canella Claudia , Giacomini Stellio , Van Kim Lê , Pedrazzani Carla , Naegele Matthias , Thouvenin Laure , O’Meara Stern Alix , Condorelli Rosaria , Corbière Tourane , Witt Claudia M. , Eicher Manuela , Ribi Karin 
Published: June 2023

Abstract
Purpose
This study aims to describe the experience of Swiss oncological patients during the COVID-19 pandemic.

Methods
A national multi-center study including five hospitals covering the three main language regions of Switzerland was conducted between March and July 2021. Patients with melanoma, breast, lung, or colon cancer receiving active systemic anti-cancer treatment at the time of the COVID-19 pandemic were included. We conducted semi-structured telephone or onsite interviews alongside the administration of distress and resilience-validated questionnaires. Thematic analysis was performed for the qualitative data and descriptive statistics for the quantitative data.

Results
Sixty-two cancer patients with a mean age of 61 (SD=14) (58% female) were interviewed. Based on the interviews, we identified that the experience of having cancer during the COVID-19 pandemic was related to five dimensions: psychological, social, support, healthcare, and vaccination. Three themes transverse the five dimensions: (a) needs, (b) positive changes, and (c) phases of the pandemic. In general, patients did not experience delays or disruptions in their cancer treatment nor felt additionally burdened by the pandemic. Lockdown and isolation were reported as mixed experiences (positive and negative), and access to vaccination reassured patients against the risk of infection and instilled hope to return to normalcy. Additionally, we found low distress levels (M=2.9; SD=2.5) and high resilience scores (M=7; SD=1.3) in these patients.

Conclusion
Swiss patients with cancer did not express major needs or disruptions in their care during this period of the COVID-19 pandemic. Results identify the mixed experiences of patients and highlight the high resilience levels.
Assessment and improvement of RegCM 4.6 coupled with CLM4.5 in simulation of land surface temperature in mainland China
Authors: Ren Yulong , Gao Xiaoqing , Liu YuanPu , Li ZhenChao , Liu WeiGang 
Published: June 2023

AbstractLand surface temperature(LST) is an important indicator to study climate change and test the performance of regional climate model simulation. RegCM4.6 is the representative version of regional climate model RegCM, which is coupled with advanced third-generation land surface model NCAR CLM4.5. Currently, RegCM4.6 has become an important tool to study regional climate change in China. However, its ability to simulate land surface temperature in mainland China and the reasons for its deviation have not been systematically studied, and targeted improvement work is lacking. The present study is the first to employ LST data collected from 809 Chinese meteorological stations from the last 30 years to comprehensively assess the ability of CLM4.5 to simulate LST. Sensitivity tests of soil thermal conductivity (STC) were carried out to improve the model. Although the coupled regional climate model could accurately simulate the temporal and spatial variation of LST, a cold bias of 2~8 °C existed for all of mainland China, which was larger in seasons with more precipitation and greater soil moisture than other seasons. Deviation increased from southeast to northwest. which was caused by the incoming long-wave radiation, sensible heat, and latent heat simulated. There was a significant linear relationship between the observed and simulated LSTs, with correlation coefficients for all the stations ranged from 0.75 to 0.9 (P < 0.001). The observed LST increased at a rate of 0.58 °C/decade, but the simulated LST increased at a lower rate. Assessment of three different STC schemes showed that the Lu-Ren scheme was the most suitable for LST simulation in mainland China. Developing a new STC scheme that considers the role of water vapor can effectively improve the model when used in mainland China.
Classification of incunable glyphs and out-of-distribution detection with joint energy-based models
Authors: Kordon Florian , Weichselbaumer Nikolaus , Herz Randall , Mossman Stephen , Potten Edward , Seuret Mathias , Mayr Martin , Christlein Vincent 
Published: June 2023

AbstractOptical character recognition (OCR) has proved a powerful tool for the digital analysis of printed historical documents. However, its ability to localize and identify individual glyphs is challenged by the tremendous variety in historical type design, the physicality of the printing process, and the state of conservation. We propose to mitigate these problems by a downstream fine-tuning step that corrects for pathological and undesirable extraction results. We implement this idea by using a joint energy-based model which classifies individual glyphs and simultaneously prunes potential out-of-distribution (OOD) samples like rubrications, initials, or ligatures. During model training, we introduce specific margins in the energy spectrum that aid this separation and explore the glyph distribution’s typical set to stabilize the optimization procedure. We observe strong classification at 0.972 AUPRC across 42 lower- and uppercase glyph types on a challenging digital reproduction of Johannes Balbus’ Catholicon, matching the performance of purely discriminative methods. At the same time, we achieve OOD detection rates of 0.989 AUPRC and 0.946 AUPRC for OOD ‘clutter’ and ‘ligatures’ which substantially improves upon recently proposed OOD detection techniques. The proposed approach can be easily integrated into the postprocessing phase of current OCR to aid reproduction and shape analysis research.
Estimating causal effects of community health financing via principal stratification
Authors: Noirjean Silvia , Biggeri Mario , Forastiere Laura , Mealli Fabrizia , Nannini Maria 
Published: June 2023

AbstractWhen a treatment cannot be enforced, but only encouraged, noncompliance naturally arises. In applied economics, the common empirical strategy for dealing with noncompliance is to rely on Instrumental Variables methods. When the effects are heterogeneous, these methods allow, under a set of assumptions, to identify the causal effect for Compliers, i.e., the subset of units whose treatment is affected by the encouragement. One of the identification assumptions is the Exclusion Restriction (ER), which essentially rules out the possibility of a causal effect for Never Takers, i.e., those whose treatment is not affected by the encouragement. In this paper, we show the consequences of violations of this assumption in the impact evaluation of an intervention implemented in Uganda, where targeted households were encouraged to join a community health financing (CHF) scheme through activities of sensitization. We conduct the analyses using Bayesian model-based principal stratification, first assuming and then relaxing the ER for Never Takers. This allows showing the positive impact of the intervention on the health costs of both Compliers and Never Takers. While the causal effects for the former could be due to the encouragement but also to the actual participation in the scheme, those for the latter are unequivocally attributable to the encouragement. This indicates that sensitization alone is extremely effective in reducing vulnerability against health costs. This finding is of paramount importance for policy-making, as it is much easier and more cost-effective to implement awareness-raising campaigns than CHF schemes.
Validation of a brief version of the Difficulties in Emotion Regulation Scale (DERS-16) with an older Norwegian population
Authors: Visted Endre , Solbakken O. A. , Mæland S. , Fadnes L. T. , Bjerrum L. B. , Nordhus I. H. , Flo-Groeneboom E. 
Published: June 2023

AbstractEmotion regulation is proposed to have a salient role in optimal aging. However, currently used measures of emotion regulation have not been validated for older adults. Therefore, we evaluated the psychometric properties of the Difficulties in Emotion Regulation Scale—short form (DERS-16) in a large Norwegian sample consisting of individuals between 70 and 95 years (n = 2525). Tests of internal consistency, reliability, assessment of intra-domain correlations, and confirmatory factor analyses were performed. Construct validity was further investigated by assessing concurrent associations between DERS-16 and well-established measures of psychological disorders, psychological health, and well-being (five-item version of Geriatric Depression Scale, Geriatric Anxiety Inventory—short form, and OECD guidelines on measuring subjective well-being). All subscales derived from the instrument showed adequate internal consistency. Furthermore, we obtained a theoretically consistent factor structure, in which a bifactor model combining a general emotion regulation factor and five additional domain-specific facet-factors had superior model fit. As expected, difficulties in emotion regulation correlated positively with symptoms of depression and anxiety, and negatively with psychological health and well-being. Associations were generally of moderate strength. We can thus conclude that the DERS-16 demonstrates excellent psychometric properties when used in samples with older adults and may safely be employed in studies of emotion regulation difficulties in the older segment of our population.
An artificial viscosity augmented physics-informed neural network for incompressible flow
Authors: He Yichuan , Wang Zhicheng , Xiang Hui , Jiang Xiaomo , Tang Dawei 
Published: June 2023

AbstractPhysics-informed neural networks (PINNs) are proved methods that are effective in solving some strongly nonlinear partial differential equations (PDEs), e.g., Navier-Stokes equations, with a small amount of boundary or interior data. However, the feasibility of applying PINNs to the flow at moderate or high Reynolds numbers has rarely been reported. The present paper proposes an artificial viscosity (AV)-based PINN for solving the forward and inverse flow problems. Specifically, the AV used in PINNs is inspired by the entropy viscosity method developed in conventional computational fluid dynamics (CFD) to stabilize the simulation of flow at high Reynolds numbers. The newly developed PINN is used to solve the forward problem of the two-dimensional steady cavity flow at Re = 1 000 and the inverse problem derived from two-dimensional film boiling. The results show that the AV augmented PINN can solve both problems with good accuracy and substantially reduce the inference errors in the forward problem.
Turbulence Effects on the Statistical Behaviour and Modelling of Flame Surface Density and the Terms of Its Transport Equation in Turbulent Premixed Flames
Authors: Varma Arun Ravi , Ahmed Umair , Chakraborty Nilanjan 
Published: June 2023

AbstractThe influence of the ratio of integral length scale to flame thickness on the statistical behaviours of flame surface density (FSD) and its transport has been analysed using a Direct Numerical Simulation database of three-dimensional statistically planar turbulent premixed flames for different turbulence intensities. It has been found that turbulent burning velocity based on volume-integration of reaction rate and flame surface area increase but the peak magnitudes of the FSD and the terms of the FSD transport term decrease with an increase in length scale ratio for a given turbulence intensity. The flame brush thickness and flame wrinkling increase with an increase in length scale ratio for all turbulence intensities. However, the qualitative behaviours of the unclosed terms in the FSD transport equation remain unaltered by the length scale ratio and in all cases the tangential strain rate term and the curvature term act as leading order source and sink, respectively. A decrease in length scale ratio for a given turbulence intensity leads to a decrease in Damköhler number and an increase in Karlovitz number. This has an implication on the alignment of reactive scalar gradient with local strain rate eigenvectors, which in turn increases positive contribution of the tangential strain rate term with a decrease in length scale ratio. Moreover, an increase in Karlovitz number increases the likelihood of negative contribution of the curvature term. Thus, the magnitude of the negative contribution of the FSD curvature term increases with a decrease in length scale ratio for a given turbulence intensity. The model for the tangential strain rate term, which explicitly considers the scalar gradient alignment with local principal strain rate eigenvectors, has been shown to be more successful than the models that do not account for the scalar gradient alignment characteristics. Moreover, the existing model for the curvature and propagation term needed modification to account for greater likelihood of negative values for higher Karlovitz number. However, the models for the unclosed flux of FSD and the mean reaction rate closure are not significantly affected by the length scale ratio.
Playing in the Team of Five Million: Conformity and Nonconformity to the New Zealand Covid-19 Pandemic Response
Authors: Salman Sara 
Published: June 2023

AbstractThe New Zealand Covid-19 strategy received praise at home and abroad. However, despite the epidemiological success of the strategy, it amplified social inequalities and exclusion, highlighted existing frustration and mistrust of the government, and in turn produced reactionary forms of conformity and noncompliance as well as prosocial forms of resistance. This article focuses on three types of social responses to the pandemic in New Zealand between 2020 and 2022. It looks at hostile conformity exemplified in antipathy against Pacific Island communities dealing with Covid-19 outbreaks, reactionary noncompliance seen in the anti-mandate protests and parliament occupation, and prosocial resistance to the state’s neglect of Indigenous public health seen in the Māori organized effort to protect communities left out of the pandemic preparedness plans. The article presents a critical understanding of the limits of New Zealand’s Covid-19 strategy and the resulting social responses of conformity and nonconformity.
Models and modelling in secondary technology and engineering education
Authors: Norström Per , Hallström Jonas 
Published: June 2023

AbstractThe common purpose of models is to provide simplified representations of other phenomena. Depending on type, they are suitable for communication, documentation, prognostication, problem solving, and more. Various types of models, such as drawings, mock-ups, flow charts, and mathematical formulae, are important tools in engineering work. An introduction to the area of technological modelling is therefore an essential component in secondary technology and engineering education, both to prepare for future studies and work, and to instil a general technological literacy. Models in the form of technical drawings and physical models are mentioned in several international curricula and standards for secondary education, but the nature of models or the modelling process are seldom elaborated upon. The purpose of this article is to investigate the ‘why?’, the ‘what?’, and the ‘how?’ of teaching and learning about models and modelling in secondary technology and engineering education. We discuss the roles of models and modelling and suggest a modelling framework for technology and engineering education consisting of a six-step modelling process that can be used in education with increasing level of complexity: identification, isolation, simplification, validation, verification, and presentation. Examples from Swedish curricula and secondary school textbooks are used to highlight the progress (or lack thereof) concerning model creation and model use. It was found that especially validation and verification are downplayed or missing in these accounts. Special attention needs to be given to the simplification step, where the balance between simplicity and realism often leads to difficult decisions in the modelling process.
Predicting Wellbeing in Retirees During the COVID-19 Pandemic: The Roles of Meaning in Life and Goal Setting
Authors: Lawton Anna , Miller-Lewis Lauren , Gerace Adam 
Published: June 2023

AbstractRestrictions introduced during the COVID-19 pandemic disrupted many retirees from being able to pursue their lifestyle retirement goals. This study examined the impact of lifestyle retirement goal disruption during the pandemic, sources of meaning in life, and goal setting behaviors (planfulness) on retiree wellbeing. In this quantitative study, retirees (n = 141) in Victoria, Australia completed an online survey in mid-2021 containing measures of sources of meaning in life, planfulness, and wellbeing. Qualitative data were also collected using a series of open-ended questions regarding the nature of retirement goal disruptions. Findings revealed that greater sources of meaning in life and planfulness significantly predicted greater wellbeing in retirees, as did being in a relationship and living in an urban/city location. Age, gender, and years retired were not associated with wellbeing. Planfulness moderated the association between COVID-19 goal-disruption and wellbeing. Open-ended responses indicated that retirement goals commonly affected by COVID-19 were travel and family-time. The study revealed that older adults were able to adjust during a time of crisis, with sources of meaning in life and planfulness being useful resources for wellbeing. Planfulness was an important buffer for those experiencing goal-disruption due to COVID-19.
Egg donor self-reports of ovarian hyperstimulation syndrome: severity by trigger type, oocytes retrieved, and prior history
Authors: Tober Diane M. , Richter Kevin , Zubizarreta Dougie , Daneshmand Said 
Published: June 2023

Abstract
Purpose
To evaluate self-reported survey data provided by US oocyte donors on their experiences with ovarian hyperstimulation syndrome and possible correlations between OHSS severity and number of oocytes retrieved, trigger type, and prior OHSS history.

Methods
An 85-question retrospective survey was administered online. Survey questions included demographic information, reasons for donating, immediate per-cycle experiences and outcomes, perceptions of informed consent, and perceived impact of donation on long-term health. Quantitative Data for this study was collected between February 2019 and September 2020 via QualtricsXM (January 2019), an online survey platform. Follow-up interviews were also conducted. Participants were recruited via fertility clinics, egg donation agencies, and online forum. The research was approved by the University of California, San Francisco Institutional Review Board (#14-14765).

Results
Of 420 initiated US oocyte donor online surveys, 289 (68%) respondents provided detailed information on per cycle experiences with ovarian hyperstimulation syndrome, number of oocytes retrieved, and trigger type over a total of 801 cycles. On cycles where donors reported receiving GnRH agonist triggers (n = 337), they reported milder OHSS compared to cycles with hCG or dual triggers. Among donors undergoing multiple retrieval cycles, the severity of OHSS in second cycles was strongly associated with OHSS severity in first cycles.

Conclusion
Self-reported OHSS in oocyte donors is lower in GnRH antagonist stimulation protocols combined with GnRHa trigger and in cycles where donors reported fewer than 30 oocytes retrieved. Donors who reported severe OHSS on a prior cycle were significantly more likely to experience severe OHSS on a subsequent cycle.