bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of addition of ascorbate, dithiothreitol or a caspase‐3 inhibitor to cryopreservation medium on post‐thaw survival of bovine embryos produced in vitro
Authors: Carrascal‐Triana Erly Luisana , Zolini Adriana Moreira , de King Antonio Ruiz , Penitente‐Filho Jurandy Mauro , Hansen Peter J. , Torres Ciro Alexandre Alves , Block Jeremy 
Published: June 2022

AbstractExperiments were conducted to investigate whether supplementation of cryopreservation medium with ascorbate, dithiothreitol (DTT) or an inhibitor of caspase‐3 (z‐DEVD‐fmk) could improve post‐thaw survival of bovine embryos produced in vitro (IVP). For all experiments, embryos were harvested on day 7 after insemination and subjected to controlled‐rate freezing in medium containing 1.5 M ethylene glycol and treatments as described below. In experiments 1–3, embryos were cryopreserved in freezing medium with ascorbate (0, 0.1, 0.3 or 0.5 mM), DTT (0, 50, 100 or 200 μM) and z‐DEVD‐fmk (0, 50, 100 or 200 μM), respectively. Post‐thaw survival was assessed at 24, 48 and 72 h. For experiments 4–5, embryos were cryopreserved in freezing medium with or without 0.1 mM ascorbate. At 24 h post‐thaw, embryo total cell number, DNA fragmentation and levels of reactive oxygen species (ROS) were evaluated. Embryos subjected to freezing and thawing in medium supplemented with 0.1 mM ascorbate had greater (p < .05) re‐expansion rates at 24, 48 and 72 h and hatching rate at 72 h as compared to embryos not treated with ascorbate. Post‐thaw cryosurvival was not affected by the addition of either DTT or z‐DEVD‐fmk to medium used for cryopreservation. Embryos cryopreserved in medium supplemented with 0.1 mM ascorbate had reduced (p < .001) levels of intracellular ROS and fewer (p < .001) cells with DNA fragmentation. In conclusion, post‐thaw survival of bovine IVP embryos is enhanced by supplementation of freezing medium with ascorbate.
Comparing recalled versus experienced symptoms of breathlessness ratings: An ecological assessment study using mobile phone technology
Authors: Sandberg Jacob , Sundh Josefin , Anderberg Peter , Currow David C. , Johnson Miriam , Lansing Robert , Ekström Magnus 
Published: June 2022

AbstractBackground and objectiveRecall of breathlessness is important for clinical care but might differ from the experienced (momentary) symptoms. This study aimed to characterize the relationship between momentary breathlessness ratings and the recall of the experience. It is hypothesized that recall is influenced by the peak (worst) and end (most recent) ratings of momentary breathlessness (peak‐end rule).MethodsThis study used mobile ecological momentary assessment (mEMA) for assessing breathlessness in daily life through an application installed on participants' mobile phones. Breathlessness ratings (0–10 numerical rating scale) were recorded throughout the day and recalled each night and at the end of the week. Analyses were performed using regular and mixed linear regression.ResultsEighty‐four people participated. Their mean age was 64.4 years, 60% were female and 98% had modified Medical Research Council (mMRC) ≥ 1. The mean number of momentary ratings of breathlessness provided was 7.7 ratings/participant/day. Recalled breathlessness was associated with the mean, peak and end values of the day. The mean was most closely associated with the daily recall. Associations were strong for weekly values: peak breathlessness (beta = 0.95, r2 = 0.57); mean (beta = 0.91, r2 = 0.53); and end (beta = 0.67, r2 = 0.48); p < 0.001 for all. Multivariate analysis showed that peak breathlessness had the strongest influence on the breathlessness recalled at the end of the week.ConclusionOver 1 week, recalled breathlessness is most strongly influenced by the peak breathlessness; over 1 day, it is mean breathlessness that participants most readily recalled.
On the Cross-Validation Bias due to Unsupervised Preprocessing
Authors: Moscovich Amit , Rosset Saharon 
Published: June 2022

AbstractCross-validation is the de facto standard for predictive model evaluation and selection. In proper use, it provides an unbiased estimate of a model's predictive performance. However, data sets often undergo various forms of data-dependent preprocessing, such as mean-centring, rescaling, dimensionality reduction and outlier removal. It is often believed that such preprocessing stages, if done in an unsupervised manner (that does not incorporate the class labels or response values) are generally safe to do prior to cross-validation. In this paper, we study three commonly practised preprocessing procedures prior to a regression analysis: (i) variance-based feature selection; (ii) grouping of rare categorical features; and (iii) feature rescaling. We demonstrate that unsupervised preprocessing can, in fact, introduce a substantial bias into cross-validation estimates and potentially hurt model selection. This bias may be either positive or negative and its exact magnitude depends on all the parameters of the problem in an intricate manner. Further research is needed to understand the real-world impact of this bias across different application domains, particularly when dealing with small sample sizes and high-dimensional data.
Dentophobia and dental treatment: An umbrella review of the published literature
Authors: Aburas Sarmad , Pfaffeneder‐Mantai Florian , Hofmann Alina , Meller Oliver , Schneider Benedikt , Turhani Dritan 
Published: June 2022

AbstractAimsDentophobia is a well‐know kind of phobia and psychological problem in dentistry. Although patients might suffer from severe oral pain and have serious health complications, dentophobia is still posing a threat to oral healthcare and remains an unresolved worldwide phenomenon. According to estimates, up to 80% of the general population are affected by this condition. Dentophobia is an unpleasant problem with serious consequences not only for patients but also for dentists and the public health system in general. This umbrella review provides a comprehensive overview of the various aspects of dentophoia as addressed in the published literature, and the current level of knowledge concerning their treatment.Methods and resultsBased on 35 reviews of the published literature, addressing various aspects of dentophobia and published between 2008 and 2021, this umbrella review was written. The search was based on the PubMed and PsycINFO databases. The extraction was structured by open coding and each aspect of the subject analyzed according to Ritchie and Lewis.ConclusionWe conclude that the evidence concerning the efficacy of the various interventions is still rather weak and there is an obvious need for further research, because of the yet and unresolved challenges and the lack of standardised guidelines to deal with patients with dentophobia.
Cyberbullying and empathy among elementary school students: Do special educational needs make a difference?
Authors: Touloupis Thanos , Athanasiades Christina 
Published: June 2022

The present study investigates involvement in cyberbullying and empathy skills, as well as the relationship between the two among general education sixth grade elementary school students with and without special educational needs (SEN). Specifically, 120 students with SEN (Autistic Spectrum Disorder‐ASD, Attention Deficit Hyperactivity Disorder‐ADHD, learning disabilities) and 120 students without SEN from 29 randomly selected schools of the second biggest city in Greece completed a self‐report questionnaire, which included a short version of the “Cyberbullying Questionnaire” (Smith et al., An investigation into cyber bullying, its forms, awareness and impact, and the relationship between age and gender in cyber bullying. A report to the Anti‐Bullying Alliance. Unit for School and Family Studies, 2006) and the “Basic Empathy Scale”—BES (Jolliffe & Farrington, 2006, J Adolesc, 29:589, 2006). The results showed that, regardless of gender, involvement in cyberbullying (as victims/bullies) concerned primarily students with SEN, mainly those with ASD and ADHD. Accordingly, students with SEN and mostly those with ASD expressed lower affective and cognitive empathy compared to the rest of the students. Finally, for all the participating students both affective and cognitive empathy negatively predicted engagement in cyberbullying (as victims/bullies). Implications for preventive actions in elementary education, and especially for children with SEN, are discussed in detail.
Are attitudes in employees of public employment service in line with the principles of individual placement and support? A questionnaire‐based survey
Authors: Brinchmann Beate , Rinaldi Miles , Sandtorv Elisabeth , Moe Cathrine Fredriksen , McDaid David , Killackey Eóin , Mykletun Arnstein 
Published: June 2022

AbstractA high proportion of people with severe mental illness (SMI) want to work, consider it essential for recovery, yet employment rates are low. Many employees in public employment services (PES) work according to traditional attitudes that people with SMI are unable to work and if they do, risk harm from work‐related stress. These attitudes conflict with principles in evidence based vocational models like individual placement and support (IPS) and probably contributes to the low‐employment rate. The aim of this study was to investigate attitudes towards the evidence‐based principles of IPS among PES employees with and without exposure to IPS. A case vignette describing a person with SMI and statements referring to this vignette was developed and administered to PES employees at two timepoints, 4 years apart. Respondents indicated their attitudes on a six‐point Likert scale to statements in accordance to the principles of IPS. Independent two‐tailed sample t‐tests were used to analyse differences between respondents in municipalities with IPS exposure, compared to municipalities without. Multiple linear regressions with attitudes as a dependent variable was used to test whether attitudes changed over time dependent on exposure to IPS. Attitudes were generally aligned with IPS principles compared to current PES practice. The municipality with IPS exposure had more favourable attitudes (p < 0.01). Changes in attitudes were minimal over time and did not differ between regions (p < 0.287). Attitudes of employees in PES are aligned with the principles of IPS and to a greater extent if exposed to IPS.
Stabilized Explicit Integrators for Local Parametrization in Multi-Rigid-Body System Dynamics
Authors: Zhou Ping , Ren Hui 
Published: June 2022

Abstract
In this work, stabilized explicit integrators for local parametrization are introduced to calculate the dynamics of constrained multi-rigid-body systems, including those based on the orthogonal Runge–Kutta–Chebyshev (RKC) method and the extrapolated stabilized explicit Runge–Kutta (ESERK) method. Both of these methods have large stability regions at the negative real axis, and this property makes them suitable to settle the introduction of the stabilization parameter for a constraint equation. The local vectorial rotation parameters are adopted to describe rotations in each rigid body, and a stabilization technique is developed to transform the differential-algebraic equations (DAE) into a set of first-order ordinary differential equations (ODEs) that can be computed efficiently. Several benchmarks are calculated and the results are compared to those by the generalized-α integrator and ADAMS models, verifying their effectiveness in nonstiff problems.
A Phase Diagram-Based Stability Design Method for a Symmetrical Origami Waterbomb Base
Authors: Zhang Hongchuan , Zhu Benliang , Chen Bicheng , Cui Chaoyu , Li Hai , Zhang Xianmin 
Published: June 2022

Abstract
The symmetrical origami waterbomb (WB) base shows promising applications in engineering due to its considerable mechanical behaviors. As a common phenomenon in actual origami, the stability performance of the WB base has attracted increasing attention. However, there are few studies on graphical design for the stability of WB bases. Based on the phase diagram of the intrinsic parameters, this paper proposes an intuitive and synthesized stability design method for the WB base. First, the basic principles are demonstrated using the Euler–Lagrange functional equation. In addition, the details of the method are illustrated by two typical WB bases with a given stiffness ratio. Second, according to the proposed design method, case studies are presented, and the stability behaviors are evaluated by the analytical method and finite element analysis (FEA) simulation. Finally, the prototypes of the case study are designed, and a measurement experiment of the stable states is carried out. Both FEA simulation and the experimental result demonstrate the effectiveness of the proposed design method.
Estimation of Small Failure Probability Based on Adaptive Subset Simulation and Deep Neural Network
Authors: Peng Xiang , Shao Yujie , Hu Weifei , Li Jiquan , Liu Zhenyu , Jiang Shaofei 
Published: June 2022

Abstract
The critical problem of reliability design is how to obtain a more accurate failure probability with a smaller number of evaluations of actual complex and nonlinear performance function. To achieve this objective, an adaptive subset simulation method with a deep neural network (DNN) is proposed for accurate estimation of small failure probability. A determinate criterion for threshold values is developed, and the subset number is adaptively quantified according to the initial estimated value of small failure probability. Therefore, the estimation of small failure probability is converted to estimation problem of multiple large conditional probabilities. An adaptive deep neural network model is constructed in every subset to predict the conditional probability with a smaller number of evaluations of the actual performance function. Furthermore, the sampling points for the next subset can be adaptively selected according to the constructed DNN model, which can decrease the number of invalid sampling points and evaluations of actual performance function, then the computational efficiency for estimating the conditional probability in every subset is increased. The sampling points with high probability density functions are recalculated with actual performance function values to replace the predicted values of the DNN model, which can verify the accuracy of DNN model and increase the estimation accuracy of small failure probability. By analyzing a nonlinear problem, a multiple failure domain problem and two engineering examples, the effectiveness and accuracy of the proposed methodology for estimating small failure probability are verified.
Applying Infrared Thermography as a Method for Online Monitoring of Turbine Blade Coolant Flow
Authors: DeShong Eric , Peters Benjamin , Paynabar Kamran , Gebraeel Nagi , Thole Karen A. , Berdanier Reid A. 
Published: June 2022

AbstractAs gas turbine engine manufacturers strive to implement condition-based operation and maintenance, there is a need for blade monitoring strategies capable of early fault detection and root-cause determination. Given the importance of blade cooling flows to turbine blade health and longevity, there is a distinct lack of methodologies for coolant flowrate monitoring. The present study addresses this identified opportunity by applying an infrared thermography system on an engine-representative research turbine to generate data-driven models for prediction of blade coolant flowrate. Thermal images were used as inputs to a linear regression and regularization algorithm to relate blade surface temperature distribution with blade coolant flowrate. Additionally, this study investigates how coolant flowrate prediction accuracy is influenced by the number and breadth of diagnostic measurements. The results of this study indicate that a source of high-fidelity training data can be used to predict blade coolant flowrate within about six percent error. Furthermore, identification of prioritized sensor placement supports application of this technique across multiple sensor technologies capable of measuring blade surface temperature in operating gas turbine engines, including spatially resolved and point-based measurement techniques.
Adapting an Evidence-Based Exercise and Education Program for Older Breast Cancer Survivors for the REJOIN Trial
Authors: Bluethmann Shirley M. , Flores Eileen , Grotte Meghan , Heitzenrater Jared , Truica Cristina I. , Olsen Nancy J. , Sciamanna Christopher , Schmitz Kathryn H. 
Published: June 2022

Physical activity (PA) promotes survival and mitigates symptoms in older breast cancer survivors (BCS), especially to reduce joint pain associated with adjuvant hormonal treatment. The purpose is to describe the adaptation process for an evidence-based exercise and education curriculum (i.e., Fit & Strong!) to support older BCS participating in the Using Exercise to Relieve Joint Pain and Improve Aromatase Inhibitor Adherence in Older Breast Cancer Survivors trial. We reviewed all educational materials with scientific/clinical experts to identify necessary content changes. Next, we conducted semistructured phone interviews with BCS to review all educational materials and conducted a real-time pretest for the trial. Overall, BCS found the adapted materials and experience acceptable (mean score of 9.2/10 for satisfaction). Content changes included simplifying exercise instructions, prioritizing content related to the trial goals, and updating photographs. Because of COVID, the pretest was conducted via Zoom. Our multistep adaptation process provided an acceptable intervention to meet the needs of older BCS. Lessons learned will be applied to the forthcoming pilot trial.
Effect of eyelid muscle action and rubbing on telemetrically obtained intraocular pressure in patients with glaucoma with an IOP sensor implant
Authors: van den Bosch Jacqueline J O N , Pennisi Vincenzo , Mansouri Kaweh , Weinreb Robert N , Thieme Hagen , Hoffmann Michael B , Choritz Lars 
Published: June 2022

BackgroundPatients with glaucoma on topical glaucoma medication are often affected by dry eye symptoms and thus likely to rub or squeeze their eyelids. Here, we telemetrically measure peak intraocular pressure (IOP) during eyelid manoeuvres and eyelid rubbing.MethodsEleven patients with primary open-angle glaucoma (POAG) previously implanted with a telemetric IOP sensor (Eyemate-IO) were instructed to look straight ahead for 1 min as a baseline measurement. Next, 6 repeats of blinking on instruction with 10 s intervals in between were performed. In addition, 5 repeats of eyelid closure (n=9), eyelid squeezing and eyelid rubbing (n=7) were performed with 15 s intervals in between. IOP was recorded via an external antenna placed around the study eye. Average peak IOP increases from baseline were analysed and tested against zero (no change) with one-sample t-tests.ResultsFor eyelid rubbing, the average peak ∆ IOP increase (mean±SEM) was 59.1±9.6 mm Hg (p<0.001) from baseline. It was 42.2±5.8 mm Hg (p<0.0001) for eyelid squeezing, 3.8±0.6 mm Hg (n=9, p<0.01) for eyelid closure and 11.6±2.4 mm Hg (p<0.001) for voluntary blinking. No IOP change except for a short irregularity in the ocular pulse was observed during involuntary blinking.ConclusionEyelid manoeuvres in patients with POAG elicited brief increases in IOP that were particularly large with squeezing and rubbing. Further investigation of the potential implications for glaucoma progression is warranted.
Patients’ acceptability and implementation outcomes of a case management approach to encourage participation in colorectal cancer screening for people with schizophrenia: a qualitative secondary analysis of a mixed-method randomised clinical trial
Authors: Yamada Yuto , Fujiwara Masaki , Shimazu Taichi , Etoh Tsuyoshi , Kodama Masafumi , So Ryuhei , Matsushita Takanori , Yoshimura Yusaku , Horii Shigeo , Fujimori Maiko , Takahashi Hirokazu , Nakaya Naoki , Miyaji Tempei , Hinotsu Shiro , Harada Keita , Okada Hiroyuki , Uchitomi Yosuke , Yamada Norihito , Inagaki Masatoshi 
Published: June 2022

ObjectivesWe examined the efficacy of case management (CM) interventions to encourage participation in colorectal cancer screening for patients with schizophrenia. This study aimed to clarify patients’ acceptability of the intervention and the helpful components of the intervention. Simultaneously, the study aimed to determine the acceptability, appropriateness and feasibility of the intervention from the perspective of psychiatric care providers.Study design and settingThis study was a secondary qualitative analysis of a mixed-method randomised controlled trial that evaluated the efficacy of the CM approach to encourage participation in cancer screening for people with schizophrenia. The intervention comprised education and patient navigation for colorectal cancer screening. Interviews were conducted with patients who received the intervention and staff from two psychiatric hospitals in Japan who delivered the intervention.ParticipantsOf the 172 patients with schizophrenia who participated in the trial, 153 were included. In addition, three out of six providers were included.Data collection and analysisUsing a structured interview, the case manager asked participants about patient acceptability and the helpful components of the intervention. Content analysis was conducted for the responses obtained, and the number of responses was tabulated by two researchers. For the interviews with the providers, opinions obtained from verbatim transcripts were extracted and summarised.ResultsForty-three of the 56 patients perceived that the intervention was acceptable. For the intervention component, inperson counselling with an explanation of the screening process by psychiatric care providers was most frequently reported by the patients as helpful (48 of the 68 respondents). Psychiatric care providers evaluated the intervention as acceptable, appropriate and easy to understand and administer. However, providing the intervention to all patients simultaneously was considered difficult with the current human resources.ConclusionsThis study showed that the CM intervention was perceived as acceptable by patients and acceptable and appropriate by psychiatric care providers.Trial registration numberUMIN000036017.