bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring Teaching Skill of South Korean Teachers in Secondary Education: Detecting a Teacher’s Potential Zone of Proximal Development Using the Rasch Model
Authors: van de Grift Wim , Lee Okhwa , Chun Seyeoung 
Published: June 2023

AbstractMany observation instruments are in use to make the skills of teachers visible. These tools are used for assessment, for guidance and coaching, and for policy-oriented research into the quality of education. Depending on the purpose of use of an observation instrument, we not only need more observations about the same teacher, but the observation instrument must also meet higher psychometric requirements. Observation instruments only used to assess sample characteristics, such as the mean and dispersion, require less stringent psychometric requirements than observation instruments that are used to assess individuals. For assessing sample characteristics, it is also not necessary to do more than one observation with each respondent. Observation instruments used for individual assessments that lead to high stake decisions should meet the highest psychometric requirements possible. We can slightly mitigate the psychometric norms attached to an observation tool that is only used for guidance and coaching on the condition that the observed teacher explicitly informed that the observed lesson was representative and that this lesson offered sufficient opportunities to demonstrate all the skills the teacher has. Nevertheless, there are also additional requirements that must be met by observation instruments that are used for guidance and coaching. For good guidance and coaching, it is usually not very useful to tell an observed teacher only what went right or wrong. Teachers need concrete instructions to be able to improve. Many things that have not gone very well are often (and sometimes far) out of the reach of the teacher being observed. Coaching skills that are beyond the reach of the observed person will lead to disappointment rather than to the desired effect. The important thing in good guidance and coaching is to ensure that the observed teacher is going to take that very step, that is within his reach, but that he has not just set. Then, of course continue with the next steps, leading to incremental progress. For this, we need to have an insight into the successive difficulty of the different skills of teachers. In the past, we gained some experience with the use of the Rasch model to gain an insight into the successive level of difficulty in the actions of Dutch teachers working in elementary education. These studies are all done with the International Comparative Analysis of Learning and Teaching (ICALT) observation instrument. In this chapter, we are trying to make a next step by using the Rasch model for detecting the zone of proximal development of the observed teachers. Another new element in this study is the following: Until now, the ICALT observation instrument has been used mainly in (the culture of) European schools. In this chapter, we focus on Asian secondary education, as it takes shape in South Korea.
Two-Phase Flows with Bulk–Surface Interaction: Thermodynamically Consistent Navier–Stokes–Cahn–Hilliard Models with Dynamic Boundary Conditions
Authors: Giorgini Andrea , Knopf Patrik 
Published: June 2023

AbstractWe derive a novel thermodynamically consistent Navier–Stokes–Cahn–Hilliard system with dynamic boundary conditions. This model describes the motion of viscous incompressible binary fluids with different densities. In contrast to previous models in the literature, our new model allows for surface diffusion, a variable contact angle between the diffuse interface and the boundary, and mass transfer between bulk and surface. In particular, this transfer of material is subject to a mass conservation law including both a bulk and a surface contribution. The derivation is carried out by means of local energy dissipation laws and the Lagrange multiplier approach. Next, in the case of fluids with matched densities, we show the existence of global weak solutions in two and three dimensions as well as the uniqueness of weak solutions in two dimensions.
Melanose der Harnblase – eine Rarität
Authors: Hagmann S. , Born D. , Schmid H. P. , Rührup J. 
Published: June 2023

ZusammenfassungDie Melanose der Harnblase ist eine äußerst seltene, gutartige Erscheinung, bei der es zu Melaninablagerungen in den Urothel- und Stromazellen kommt. Wir berichten über einen solchen Fall, bei dem im Rahmen einer erweiterten Abklärung aufgrund einer Drangsymptomatik bei einer 55-jährigen Patientin mit bekannter multipler Sklerose eine Melanose der Harnblase festgestellt wurde. Der Befund wurde mittels einer Biopsie bestätigt.
Image-based phenomic prediction can provide valuable decision support in wheat breeding
Authors: Roth Lukas , Fossati Dario , Krähenbühl Patrick , Walter Achim , Hund Andreas 
Published: June 2023

Abstract
Key message
Genotype-by-environment interactions of secondary traits based on high-throughput field phenotyping are less complex than those of target traits, allowing for a phenomic selection in unreplicated early generation trials.

Abstract
Traditionally, breeders’ selection decisions in early generations are largely based on visual observations in the field. With the advent of affordable genome sequencing and high-throughput phenotyping technologies, enhancing breeders’ ratings with such information became attractive. In this research, it is hypothesized that G$$\times$$
×
E interactions of secondary traits (i.e., growth dynamics’ traits) are less complex than those of related target traits (e.g., yield). Thus, phenomic selection (PS) may allow selecting for genotypes with beneficial response-pattern in a defined population of environments. A set of 45 winter wheat varieties was grown at 5 year-sites and analyzed with linear and factor-analytic (FA) mixed models to estimate G$$\times$$
×
E interactions of secondary and target traits. The dynamic development of drone-derived plant height, leaf area and tiller density estimations was used to estimate the timing of key stages, quantities at defined time points and temperature dose–response curve parameters. Most of these secondary traits and grain protein content showed little G$$\times$$
×
E interactions. In contrast, the modeling of G$$\times$$
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E for yield required a FA model with two factors. A trained PS model predicted overall yield performance, yield stability and grain protein content with correlations of 0.43, 0.30 and 0.34. While these accuracies are modest and do not outperform well-trained GS models, PS additionally provided insights into the physiological basis of target traits. An ideotype was identified that potentially avoids the negative pleiotropic effects between yield and protein content.
Physical Functioning in Patients with a Recent Fracture: The “Can Do, Do Do” Framework Applied to Explore Physical Capacity, Physical Activity and Fall Risk Factors
Authors: Schene M. R. , Meijer K. , Cheung D. , Willems H. C. , Driessen J. H. M. , Vranken L. , van den Bergh J. P. , Wyers C. E. 
Published: June 2023

AbstractPhysical capacity (PC) and physical activity (PA) are associated physical performance measures, and combined, PC and PA are used to categorize physical performance in the “can do, do do” framework. We aimed to explore physical performance of patients attending the fracture liaison service (FLS). In this cross-sectional study, PC was measured by 6-min-walking-test (can’t do/can do) and PA by accelerometer (don’t do/do do). Following quadrants were defined based on predefined cut-off scores for poor performance: (1) “can’t do, don’t do”; (2) “can do, don’t do”; (3) “can’t do, do do”; (4) “can do, do do”. Odds ratios (OR) were calculated and fall and fracture risk factors were assessed between quadrants. Physical performance of 400 fracture patients was assessed (mean age 64; female 70.8%). Patients performed as follows: 8.3% “can’t do, don’t do”; 3.0% “can do, don’t do”; 19.3% “can’t do, do do”; 69.5% “can do, do do”. For the “can’t do” group the OR for low PA was 9.76 (95% CI: 4.82–19.80). Both the “can’t do, don’t do” and “can’t do, do do” group differed significantly compared to the “can do, do do” group on several fall and fracture risk factors and had lower physical performance. The “can do, do do” framework is able to identify fracture patients with an impaired physical performance. Of all FLS patients 20% “can’t do, but “do do” while having a high prevalence of fall risk factors compared to persons that “can do, do do”, which may indicate this group is prone to fall.
Atrial Septal Defect: Larger Right Ventricular Dimensions and Atrial Volumes as Early as in the First Month After Birth—a Case–Control Study Including 716 Neonates
Authors: Dehn Anna Maria , Dannesbo Sofie , Sellmer Anna , Høffner Line , Blixenkrone-Møller Elisabeth , Sillesen Anne-Sophie , Raja Anna Axelsson , Vejlstrup Niels , Iversen Kasper , Bundgaard Henning , Hjortdal Vibeke 
Published: June 2023

AbstractAtrial septal defect (ASD) is characterized by a left-to-right shunt causing dilatation of the right atrium and right ventricle as well as pulmonary hyperperfusion. The detection of ASDs often occurs late in childhood or adulthood. Little is known about cardiac structure and function in neonates with ASD.We analyzed neonatal echocardiograms from the Copenhagen Baby Heart Study, a multicenter, population-based cohort study of 27,595 neonates. We included 716 neonates with secundum-type ASDs and matched them 1:1 on sex and age at examination with neonates without ASD from the same birth cohort. Neonates with an ASD (median age 11 days, 52% female) had larger right ventricular (RV) dimensions than matched controls (RV longitudinal dimension end-diastole: 27.7 mm vs. 26.7 mm, p < 0.001; RV basal dimension end-diastole: 14.9 mm vs. 13.8 mm, p < 0.001; and RV outflow tract diameter 13.6 mm vs. 12.4 mm, p < 0.001). Atrial volumes were larger in neonates with ASD compared to controls (right atrial end-systolic volume: 2.9 ml vs. 2.1 ml, p < 0.001; and left atrial end-systolic volume 2.0 ml vs. 1.8 ml, p < 0.001). Tricuspid annular plane systolic excursion was larger in neonates with ASD than in controls (10.2 mm vs. 9.6 mm, p < 0.001). Left ventricular dimensions and function did not differ between neonates with ASD and controls. In conclusion, ASDs were associated with altered cardiac dimensions already in the neonatal period, with larger right ventricular dimensions and larger atrial volumes at echocardiography within the first 30 days after birth.ClinicalTrials.gov Identifier: NCT02753348 (April 27, 2016).
Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol
Authors: Zerunian Marta , Pucciarelli Francesco , Caruso Damiano , De Santis Domenico , Polici Michela , Masci Benedetta , Nacci Ilaria , Del Gaudio Antonella , Argento Giuseppe , Redler Andrea , Laghi Andrea 
Published: June 2023

Abstract
Objective
The objective of this study is to prospectively compare quantitative and subjective image quality, scanning time, and diagnostic confidence between a new deep learning-based reconstruction(DLR) algorithm and standard MRI protocol of lumbar spine.

Materials and methods
Eighty healthy volunteers underwent 1.5T MRI examination of lumbar spine from September 2021 to May 2023. Protocol acquisition comprised sagittal T1- and T2-weighted fast spin echo and short-tau inversion recovery images and axial multislices T2-weighted fast spin echo images. All sequences were acquired with both DLR algorithm and standard protocols. Two radiologists, blinded to the reconstruction technique, performed quantitative and qualitative image quality analysis in consensus reading; diagnostic confidence was also assessed. Quantitative image quality analysis was assessed by calculating signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Qualitative image quality analysis and diagnostic confidence were assessed with a five-point Likert scale. Scanning times were also compared.

Results
DLR SNR was higher in all sequences (all p<0.001). CNR of the DLR was superior to conventional dataset only for axial and sagittal T2-weighted fast spin echo images (p<0.001). Qualitative analysis showed DLR had higher overall quality in all sequences (all p<0.001), with an inter-rater agreement of 0.83 (0.78–0.86).
DLR total protocol scanning time was lower compared to standard protocol (6:26 vs 12:59 min, p<0.001).
Diagnostic confidence for DLR algorithm was not inferior to standard protocol.

Conclusion
DLR applied to 1.5T MRI is a feasible method for lumbar spine imaging providing morphologic sequences with higher image quality and similar diagnostic confidence compared with standard protocol, enabling a remarkable time saving (up to 50%).
Real-world efficacy and safety of TACE plus camrelizumab and apatinib in patients with HCC (CHANCE2211): a propensity score matching study
Authors: Jin Zhi-Cheng , Zhong Bin-Yan , Chen Jian-Jian , Zhu Hai-Dong , Sun Jun-Hui , Yin Guo-Wen , Ge Nai-Jian , Luo Biao , Ding Wen-Bin , Li Wen-Hui , Chen Li , Wang Yu-Qing , Zhu Xiao-Li , Yang Wei-Zhu , Li Hai-Liang , Teng Gao-Jun ,   for the CHANCE Investigators
Published: June 2023

Abstract
Objectives
This study aimed to investigate the efficacy and safety of transarterial chemoembolization (TACE) plus camrelizumab, a monoclonal antibody targeting programmed death-1, and apatinib for patients with intermediate and advanced hepatocellular carcinoma (HCC) in a real-world setting.

Methods
A total of 586 HCC patients treated with either TACE plus camrelizumab and apatinib (combination group, n = 107) or TACE monotherapy (monotherapy group, n = 479) were included retrospectively. Propensity score matching analysis was used to match patients. The overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and safety in the combination group were described in comparison to monotherapy.

Results
After propensity score matching (1:2), 84 patients in the combination group were matched to 147 patients in the monotherapy group. The median age was 57 years and 71/84 (84.5%) patients were male in the combination group, while the median age was 57 years with 127/147 (86.4%) male in the monotherapy group. The median OS, PFS, and ORR in the combination group were significantly higher than those in the monotherapy group (median OS, 24.1 vs. 15.7 months, p = 0.008; median PFS, 13.5 vs. 7.7 months, p = 0.003; ORR, 59.5% [50/84] vs. 37.4% [55/147], p = 0.002). On multivariable Cox regression, combination therapy was associated with significantly better OS (adjusted hazard ratio [HR], 0.41; 95% confidence interval [CI], 0.26–0.64; p < 0.001) and PFS (adjusted HR, 0.52; 95% CI, 0.37–0.74; p < 0.001). Grade 3 or 4 adverse events occurred in 14/84 (16.7%) and 12/147 (8.2%) in the combination and monotherapy groups, respectively.

Conclusions
TACE plus camrelizumab and apatinib showed significantly better OS, PFS, and ORR versus TACE monotherapy for predominantly advanced HCC.

Clinical relevance statement
Compared with TACE monotherapy, TACE plus immunotherapy and molecular targeted therapy showed better clinical efficacy for predominantly advanced HCC patients, with a higher incidence of adverse events.

Key Points
• This propensity score–matched study demonstrates that TACE plus immunotherapy and molecular targeted therapy have a longer OS, PFS, and ORR compared with TACE monotherapy in HCC.
• Grade 3 or 4 adverse events occurred in 14/84 (16.7%) patients treated with TACE plus immunotherapy and molecular targeted therapy compared with 12/147 (8.2%) patients in the monotherapy group, while no grade 5 adverse events were observed in all cohorts.
A T-cell antigen atlas for meningioma: novel options for immunotherapy
Authors: Medici Gioele , Freudenmann Lena K. , Velz Julia , Wang Sophie Shih-Yüng , Kapolou Konstantina , Paramasivam Nagarajan , Mühlenbruch Lena , Kowalewski Daniel J. , Vasella Flavio , Bilich Tatjana , Frey Beat M. , Dubbelaar Marissa L. , Patterson Angelica Brooke , Zeitlberger Anna Maria , Silginer Manuela , Roth Patrick , Weiss Tobias , Wirsching Hans-Georg , Krayenbühl Niklaus , Bozinov Oliver , Regli Luca , Rammensee Hans-Georg , Rushing Elisabeth Jane , Sahm Felix , Walz Juliane S. , Weller Michael , Neidert Marian C. 
Published: June 2023

AbstractMeningiomas are the most common primary intracranial tumors. Although most symptomatic cases can be managed by surgery and/or radiotherapy, a relevant number of patients experience an unfavorable clinical course and additional treatment options are needed. As meningiomas are often perfused by dural branches of the external carotid artery, which is located outside the blood–brain barrier, they might be an accessible target for immunotherapy. However, the landscape of naturally presented tumor antigens in meningioma is unknown. We here provide a T-cell antigen atlas for meningioma by in-depth profiling of the naturally presented immunopeptidome using LC–MS/MS. Candidate target antigens were selected based on a comparative approach using an extensive immunopeptidome data set of normal tissues. Meningioma-exclusive antigens for HLA class I and II are described here for the first time. Top-ranking targets were further functionally characterized by showing their immunogenicity through in vitro T-cell priming assays. Thus, we provide an atlas of meningioma T-cell antigens which will be publicly available for further research. In addition, we have identified novel actionable targets that warrant further investigation as an immunotherapy option for meningioma.
A typology of cerebral small vessel disease based on imaging markers
Authors: Sperber Christoph , Hakim Arsany , Gallucci Laura , Seiffge David , Rezny-Kasprzak Beata , Jäger Eugen , Meinel Thomas , Wiest Roland , Fischer Urs , Arnold Marcel , Umarova Roza 
Published: June 2023

Abstract
Background
Lacunes, microbleeds, enlarged perivascular spaces (EPVS), and white matter hyperintensities (WMH) are brain imaging features of cerebral small vessel disease (SVD). Based on these imaging markers, we aimed to identify subtypes of SVD and to evaluate the validity of these markers as part of clinical ratings and as biomarkers for stroke outcome.

Methods
In a cross-sectional study, we examined 1207 first-ever anterior circulation ischemic stroke patients (mean age 69.1 ± 15.4 years; mean NIHSS 5.3 ± 6.8). On acute stroke MRI, we assessed the numbers of lacunes and microbleeds and rated EPVS and deep and periventricular WMH. We used unsupervised learning to cluster patients based on these variables.

Results
We identified five clusters, of which the last three appeared to represent distinct late stages of SVD. The two largest clusters had no to only mild or moderate WMH and EPVS, respectively, and favorable stroke outcome. The third cluster was characterized by the largest number of lacunes and a likewise favorable outcome. The fourth cluster had the highest age, most pronounced WMH, and poor outcome. Showing the worst outcome, the fifth cluster presented pronounced microbleeds and the most severe SVD burden.

Conclusion
The study confirmed the existence of different SVD types with different relationships to stroke outcome. EPVS and WMH were identified as imaging features of presumably early progression. The number of microbleeds and WMH severity appear to be promising biomarkers for distinguishing clinical subgroups. Further understanding of SVD progression might require consideration of refined SVD features, e.g., for EPVS and type of lacunes.
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters
Authors: Escobar Juan José , Rodríguez Francisco , Prieto Beatriz , Kimovski Dragi , Ortiz Andrés , Damas Miguel 
Published: June 2023

AbstractDue to energy consumption’s increasing importance in recent years, energy-time efficiency is a highly relevant objective to address in High-Performance Computing (HPC) systems, where cost significantly impacts the tasks executed. Among these tasks, classification problems are considered due to their great computational complexity, which is sometimes aggravated when processing high-dimensional datasets. In addition, implementing efficient applications for high-performance systems is not an easy task since hardware must be considered to maximize performance, especially on heterogeneous platforms with multi-core CPUs. Thus, this article proposes an efficient distributed K-Nearest Neighbors (KNN) for Electroencephalogram (EEG) classification that uses minimum Redundancy Maximum Relevance (mRMR) as a feature selection technique to reduce the dimensionality of the dataset. The approach implements an energy policy that can stop or resume the execution of the program based on the cost per Megawatt. Since the procedure is based on the master-worker scheme, the performance of three different workload distributions is also analyzed to identify which one is more suitable according to the experimental conditions. The proposed approach outperforms the classification results obtained by previous works that use the same dataset. It achieves a speedup of 74.53 when running on a multi-node heterogeneous cluster, consuming only 13.38% of the energy consumed by the sequential version. Moreover, the results show that financial costs can be reduced when energy policy is activated and the importance of developing efficient methods, proving that energy-aware computing is necessary for sustainable computing.
Applying video motion magnification to reveal spontaneous tympanic membrane displacement as an indirect measure of intracranial pressure in patients with brain pathologies
Authors: Uryga Agnieszka , Kazimierska Agnieszka , Popek Mateusz , Dragan Barbara , Burzyńska Małgorzata , Masalski Marcin , Kasprowicz Magdalena 
Published: June 2023

Abstract
Background
The observation of tympanic membrane displacement (TMD) opens up the possibility of indirect intracranial pressure (ICP) estimation. In this study, we applied a phase-based video motion magnification (VMM) algorithm to reveal spontaneous pulse TMD waveforms (spTMD) and compare them with invasively measured ICP in patients with intracranial pathologies.

Methods
Nine adults (six traumatic brain injury and three aneurysmal subarachnoid haemorrhage; median age 44 (29–53) years admitted to the intensive care unit of Wroclaw Medical University between October 2021 and October 2022 with implanted ICP sensors were included in this retrospective study. Video recordings of the tympanic membrane were performed using a portable otoscope with a video camera and analysed by a custom-written VMM algorithm. ICP was monitored using intraparenchymal sensors and arterial blood pressure (ABP) was measured in the radial arterial lines. ICP, ABP, and spTMD videos were captured simultaneously. The pulse amplitudes of ICP (Amp_ICP), ABP (Amp_ABP) and spTMD (Amp_spTMD) were estimated using fast Fourier transform within the heart rate (HR)–related frequency range.

Results
Amp_spTMD was significantly correlated with mean ICP (rS = 0.73; p = 0.025) and with Amp_ICP (rS = 0.88; p = 0.002). Age was not a significant moderator of this association. There were no significant relationships between Amp_spTMD and either mean ABP, HR, or Amp_ABP.

Conclusions
The study suggests that Amp_spTMD increases with the increase in mean ICP and Amp_ICP. Estimation of Amp_spTMD using the VMM algorithm has the potential to allow for non-invasive detection of the risk of elevated ICP; however, further investigation in a larger group of patients is required.