bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brain volumes and white matter microstructure in 8- to 10-year-old children born with fetal growth restriction
Authors: Korkalainen Noora , Ilvesmäki Tero , Parkkola Riitta , Perhomaa Marja , Mäkikallio Kaarin 
Published: April 2022

Abstract

Background

Fetal growth restriction caused by placental insufficiency is associated with increased risk of poor neurodevelopment, even in the absence of specific perinatal brain injury. Placental insufficiency leads to chronic hypoxaemia that may alter cerebral tissue organisation and maturation.

Objective
The aim of this study was to assess the effects fetal growth restriction and fetal haemodynamic abnormalities have on brain volumes and white matter microstructure at early school age.

Materials and methods
This study examined 32 children born with fetal growth restriction at 24 to 40 gestational weeks, and 27 gestational age-matched children, who were appropriate for gestational age. All children underwent magnetic resonance imaging (MRI) at the age of 8–10 years. Cerebral volumes were analysed, and tract-based spatial statistics and atlas-based analysis of white matter were performed on 17 children born with fetal growth restriction and 14 children with birth weight appropriate for gestational age.

Results
Children born with fetal growth restriction demonstrated smaller total intracranial volumes compared to children with normal fetal growth, whereas no significant differences in grey or white matter volumes were detected. On atlas-based analysis of white matter, children born with fetal growth restriction demonstrated higher mean and radial diffusivity values in large white matter tracts when compared to children with normal fetal growth.

Conclusion
Children ages 8–10 years old born with fetal growth restriction demonstrated significant changes in white matter microstructure compared to children who were appropriate for gestational age, even though no differences in grey and white matter volumes were detected. Poor fetal growth may impact white matter maturation and lead to neurodevelopmental impairment later in life.
Comparison of cisplatin and mitomycin C/5-FU as radiosensitisers in the treatment of locally advanced vulvar cancer: results of a retrospective, observational, single-institutional cohort study
Authors: Linz Valerie Catherine , Schwanbeck Carina , Krajnak Slavomir , Anic Katharina , Jäkel Jörg , Schwab Roxana , Schmidt Marcus , Schmidberger Heinz , Hasenburg Annette , Battista Marco Johannes 
Published: April 2022

Abstract
Purpose
We retrospectively investigated the widely used radiosensitisers cisplatin and mitomycin C/5-fluorouracil (5-FU) in patients with locally advanced vulvar cancer for outcome and toxicity.

Methods
We screened the archive for patients treated with chemoradiation for vulvar cancer diagnosed between 01/2010 and 08/2021 at our institution. The impact of both radiosensitisers on prognosis was compared using Kaplan–Meier method and Cox-regression analysis.

Results
One hundred and forty-three patients with vulvar cancer were screened. Twenty-nine patients received chemoradiation (mitomycin C/5-FU n = 14; cisplatin n = 12; others n = 3) as a primary, neoadjuvant or adjuvant treatment. Median follow-up was 15.5 months. Patients in the cisplatin group were older (mean age 54.4 vs. 70.7; p = 0.004). However, the mitomycin C/5-FU group had more advanced tumour stages. The 2-year recurrence-free survival (RFS) was comparable (44.5% vs. 33.3%; p = 0.932). The 2-year overall survival (OS) showed a numerical but not statistically significant difference in favour of the mitomycin C/5-FU group (59.7% vs. 31.7%; p = 0.37). 64.3% (9 out of 14) patients, who received mitomycin C/5-FU achieved clinical complete response (cCR) compared to 41.7% (5 out of 12) who received cisplatin (p = 0.505). Radiodermatitis was the most common adverse event in both groups (81%) and more severe in the mitomycin C/5-FU cohort. Myelotoxicity was frequently observed in both groups. Eighteen patients received an additional radiation boost with 10.0 (9–16) Gy and showed a significantly prolonged RFS (p = 0.027) and OS (p = 0.003).

Conclusion
Mitomycin C/5-FU may be considered in the treatment of young and healthy patients with locally advanced vulvar cancer.
Monitoring of ticks and their pathogens from companion animals obtained by the “tekenscanner” application in The Netherlands
Authors: Kooyman F. N. J. , Zweerus H. , Nijsse E. R. , Jongejan F. , Wagenaar J. A. , Broens E. M. 
Published: April 2022

Abstract
Ticks are vectors for many pathogens of veterinary and medical interest. In order to monitor ticks and tick-borne pathogens, the “Tekenscanner” (Dutch for Tick scanner), a citizen science project, was launched in The Netherlands. It is a smartphone application for pet-owners to get ticks from their dog or cat, identified and checked for pathogens for free. At the same time, information about the pet and the geographic location of tick infestation becomes available for research. The application was launched in 2018, and the results of the first 6 months after launch of the app were reported. Ticks were identified based on morphology, and DNA was extracted and amplified by a panel of tick-borne pathogen-specific primers. Next, the amplicons were subjected to reverse line blot with specific probes for important pathogens to determine their presence or absence. The present paper describes the results of 2019 and 2020. There were 2260 ticks collected from 871 dogs and 255 cats (26 ticks were from an unknown host) and all pet owners were informed about the results. Four species of ticks were collected: Ixodes ricinus (90.0%), Ixodes hexagonus (7.3%), Dermacentor reticulatus (2.8%) and Rhipicephalus sanguineus (0.1%). Ixodes ricinus was the tick with the most divergent pathogens: Anaplasma sp. (1.3%), Babesia sp. (0.8%), Borrelia spp. (4.8%), Neoehrlichia sp. (3.7%) and Rickettsia helvetica (12.6%). In I. hexagonus, R. helvetica (1.8%) and Babesia sp. (0.6%) were detected and Rickettsia raoultii in D. reticulatus (16.2%). One of the two nymphs of R. sanguineus was co-infected with Borrelia and R. helvetica and the other one was uninfected. The high numbers of different pathogens found in this study suggest that companion animals, by definition synanthropic animals, and their ticks can serve as sentinels for emerging tick-borne pathogens.
A genetic programming-based convolutional neural network for image quality evaluations
Authors: Chan Kit Yan , Lam Hak-Keung , Jiang Huimin 
Published: April 2022

AbstractMonitoring the perceptual quality of digital images is fundamentally important since digital image transmissions through the Internet continue to increase exponentially. Many automatic image quality evaluation (IQE) metrics have been developed based on image features correlated to image distortions; however, those metrics are only effective on particular image distortion types. In recent years, convolutional neural network (CNNs) have been developed for IQEs. These CNNs first capture image features from distorted images; image qualities are predicted based on the captured image features. Since the CNN weights are randomly initialized and are updated with respect to a loss function, image features which are strongly correlated to image quality are not guaranteed to be captured. In this paper, a hybrid deep neural network (DNN) is proposed by integrating image quality metrics to capture image features which are correlated to image quality; the approach guarantees that significant image features are included to predict image quality. Also, a tree-based classifier namely geometric semantic genetic programming is proposed to perform the overall predictions by incorporating CNN predictions and image features; the approach is simpler than the fully connected network but is able to model the nonlinear image qualities. The performance of the proposed hybrid DNN is evaluated by an image quality database with 3000 distorted images. The mean correlation achieved by the proposed hybrid DNN is 0.57 which is higher than the other tested methods. Experimental results with thet- test,F-test and Tueky’s range tests show that the proposed hybrid DNN achieves more accurate image predictions with a 99.9% confidence level, compared to the state-of-the-art IQE metics and the most recently developed CNN for IQEs.
Real-world evidence for cladribine tablets in multiple sclerosis: further insights into efficacy and safety
Authors: Moser Tobias , Ziemssen Tjalf , Sellner Johann 
Published: April 2022

SummaryCladribine (CLAD) is a purine nucleoside analog approved in tablet form to treat highly active multiple sclerosis (MS). CLAD tablets are the first oral therapy with an infrequent dosing schedule, administered in two annual treatment courses, each divided into two treatment cycles comprising 4–5 days of treatment. The efficacy and safety of CLAD tablets have been verified in randomized controlled clinical trials. Clinical observational studies are performed in more representative populations and over more extended periods, and thus provide valuable complementary insights. Here, we summarize the available evidence for CLAD tablets from post-marketing trials, including two observational, four long-term extensions, and two comparative studies. The patients in the post-marketing setting differed from the cohort recruited in the pivotal phase III trials regarding demographics and MS-related disability. The limited number of studies with small cohorts corroborate the disease-modifying capacity of oral CLAD and report on a durable benefit after active treatment periods. Skin-related adverse events were common in the studies focusing on safety aspects. In addition, single cases of CLAD-associated autoimmune events have been reported. Lastly, CLAD tablets appear safe regarding COVID-19 concerns, and patients mount a robust humoral immune response to SARS-CoV‑2 vaccination. We conclude that the current real-world evidence for CLAD tablets as immune reconstitution therapy for treatment of MS is based on a small number of studies and a population distinct from the cohorts randomized in the pivotal phase III trials. Further research should advance the understanding of long-term disease control after active treatment periods and the mitigation of adverse events.
Evaluation of geometric similarity metrics for structural clusters generated using topology optimization
Authors: Dommaraju Nivesh , Bujny Mariusz , Menzel Stefan , Olhofer Markus , Duddeck Fabian 
Published: April 2022

AbstractIn the early stages of engineering design, multitudes of feasible designs can be generated using structural optimization methods by varying the design requirements or user preferences for different performance objectives. Data mining such potentially large datasets is a challenging task. An unsupervised data-centric approach for exploring designs is to find clusters of similar designs and recommend only the cluster representatives for review. Design similarity can be defined not only on a purely functional level but also based on geometric properties, such as size, shape, and topology. While metrics such as chamfer distance measure the geometrical differences intuitively, it is more useful for design exploration to use metrics based on geometric features, which are extracted from high-dimensional 3D geometric data using dimensionality reduction techniques. If the Euclidean distance in the geometric features is meaningful, the features can be combined with performance attributes resulting in an aggregate feature vector that can potentially be useful in design exploration based on both geometry and performance. We propose a novel approach to evaluate such derived metrics by measuring their similarity with the metrics commonly used in 3D object classification. Furthermore, we measure clustering accuracy, which is a state-of-the-art unsupervised approach to evaluate metrics. For this purpose, we use a labeled, synthetic dataset with topologically complex designs. From our results, we conclude that Pointcloud Autoencoder is promising in encoding geometric features and developing a comprehensive design exploration method.
Benefits of Taking a Virtual Field Trip in Immersive Virtual Reality: Evidence for the Immersion Principle in Multimedia Learning
Authors: Makransky Guido , Mayer Richard E. 
Published: April 2022

AbstractThis study describes and investigates the immersion principle in multimedia learning. A sample of 102 middle school students took a virtual field trip to Greenland via a head mounted display (HMD) or a 2D video as an introductory lesson within a 6-lesson inquiry-based climate change intervention. The HMD group scored significantly higher than the video group on presence (d = 1.43), enjoyment (d = 1.10), interest (d = .57), and retention in an immediate (d = .61) and delayed posttest (d = .70). A structural equation model indicated that enjoyment mediated the pathway from instructional media to immediate posttest, and interest mediated the pathway from instructional media to delayed posttest score, indicating that these factors may play different roles in the learning process with immersive media. This work contributes to the cognitive affective model of immersive learning, and suggests that immersive lessons can have positive longitudinal effects for learning.
Identifying high-risk areas for introduction of new alien species: the case of the invasive round goby, a door-knocker for Norway
Authors: Forsgren Elisabet , Hanssen Frank 
Published: April 2022

AbstractIdentifying new areas of colonisation by alien species is important for early detection and management. Door-knocker species pose problems for traditional predictive models because of lacking presence–absence data, but habitat suitability modelling might overcome this. We here identify the most likely areas for introduction and first establishment of the invasive round goby Neogobius melanostomus to Norway, where it has not yet been registered. We implemented knowledge on dispersal pathways and the species’ biology in a simplified suitability model based on spatial data representing the most relevant environmental variables: distance to international harbours in Norway, distance to the closest population in neighbouring country, salinity, wave exposure, depth and water temperature. The results suggest that there are many potential localities for introduction and first establishment and reveal several hotspots of such areas, especially in less-exposed coastal brackish areas of southern Norway. Especially the region around the Oslo Fjord stands out as being associated with higher risk. Our results could guide future monitoring programmes and increase the chance of early detection of this potential new invader. The study illustrates how spatial analyses can be used to identify the most likely areas for future invasion by an aquatic door-knocker species despite lacking presence–absence data.
Systemically oriented leadership: Leading multi-school organisations in England
Authors: Constantinides Michalis 
Published: April 2022

AbstractThis paper takes ecological systems theory as a conceptual basis for defining and examining the main aspects of ‘system leadership’ in a large-sized multi-school group, such as a multi-academy trust (MAT) in the context of England. The theory provides a sound framework for understanding the processes and interactions involved in this notion of leadership which is framed within an educational ecosystem as a complex set of interconnected elements. Such an approach focuses on MAT leadership strategies able to create and guide a holistic conception of educational change in the market-oriented and decentralised educational system of England. Data were drawn from interviews with eight MAT leaders and analysed alongside documentary evidence. The findings provide specific insight into the daily work of executive leaders acting assystem leadersseeking to create and sustain achievement-centred and practice-focused systems MAT-wide. They demonstrate the social and developing as well as the organisational aspects of system leadership in MATs and the ways in which different elements of the environment influence executive leaders in thinking and acting systemically. This paper adds value to existing knowledge on MATs and the ways in which they are led by system players. It broadens the frame of reference of leadership beyond the individual school to consider features of the broader system and environment. Complexity and ecological perspectives provide essential tools to understand more deeply educational change and have the potential to analyse notions of leadership across multi-school groups.
Crosscap States in Integrable Field Theories and Spin Chains
Authors: Caetano João , Komatsu Shota 
Published: April 2022

AbstractWe study crosscap states in integrable field theories and spin chains in $$1+1$$

1
+
1

dimensions. We derive an exact formula for overlaps between the crosscap state and any excited state in integrable field theories with diagonal scattering. We then compute the crosscap entropy, i.e. the overlap for the ground state, in some examples. In the examples we analyzed, the result turns out to decrease monotonically along the renormalization group flow except in cases where the discrete symmetry is spontaneously broken in the infrared. We next introduce crosscap states in integrable spin chains, and obtain determinant expressions for the overlaps with energy eigenstates. These states are long-range entangled and their entanglement entropy grows linearly until the size of the subregion reaches half the system size. This property is reminiscent of pure-state black holes in holography and makes them interesting for use as initial conditions of quantum quench. As side results, we propose a generalization of Zamolodchikov’s staircase model to flows between D-series minimal models, and discuss the relation to fermionic minimal models and the GSO projection.
Tight Convex Relaxations for the Expansion Planning Problem
Authors: Lenz Ralf , Serrano Felipe 
Published: April 2022

AbstractSecure energy transport is considered as highly relevant for the basic infrastructure of nowadays society and economy. To satisfy increasing demands and to handle more diverse transport situations, operators of energy networks regularly expand the capacity of their network by building new network elements, known as theexpansion planning problem. A key constraint function in expansion planning problems is a nonlinear and nonconvex potential loss function. In order to improve the algorithmic performance of state-of-the-art MINLP solvers, this paper presents an algebraic description for the convex envelope of this function. Through a thorough computational study, we show that this tighter relaxation tremendously improves the performance of the MINLP solver SCIP on a large test set of practically relevant instances for the expansion planning problem. In particular, the results show that our achievements lead to an improvement of the solver performance for a development version by up to 58%.
A Note on the Optimal Convergence Rate of Descent Methods with Fixed Step Sizes for Smooth Strongly Convex Functions
Authors: Uschmajew André , Vandereycken Bart 
Published: April 2022

AbstractBased on a result by Taylor et al. (J Optim Theory Appl 178(2):455–476, 2018) on the attainable convergence rate of gradient descent for smooth and strongly convex functions in terms of function values, an elementary convergence analysis for general descent methods with fixed step sizes is presented. It covers general variable metric methods, gradient-related search directions under angle and scaling conditions, as well as inexact gradient methods. In all cases, optimal rates are obtained.
Linear and nonlinear substructured Restricted Additive Schwarz iterations and preconditioning
Authors: Chaouqui F. , Gander M. J. , Kumbhar P. M. , Vanzan T. 
Published: April 2022

AbstractIterative substructuring Domain Decomposition (DD) methods have been extensively studied, and they are usually associated with nonoverlapping decompositions. It is less known that classical overlapping DD methods can also be formulated in substructured form, i.e., as iterative methods acting on variables defined exclusively on the interfaces of the overlapping domain decomposition. We call such formulations substructured domain decomposition methods. We introduce here a substructured version of Restricted Additive Schwarz (RAS) which we call SRAS. We show that RAS and SRAS are equivalent when used as iterative solvers, as they produce the same iterates, while they are substantially different when used as preconditioners for GMRES. We link the volume and substructured Krylov spaces and show that the iterates are different by deriving the least squares problems solved at each GMRES iteration. When used as iterative solvers, SRAS presents computational advantages over RAS, as it avoids computations with matrices and vectors at the volume level. When used as preconditioners, SRAS has the further advantage of allowing GMRES to store smaller vectors and perform orthogonalization in a lower dimensional space. We then consider nonlinear problems, and we introduce SRASPEN (Substructured Restricted Additive Schwarz Preconditioned Exact Newton), where SRAS is used as a preconditioner for Newton’s method. In contrast to the linear case, we prove that Newton’s method applied to the preconditioned volume and substructured formulation produces the same iterates in the nonlinear case. Next, we introduce two-level versions of nonlinear SRAS and SRASPEN. Finally, we validate our theoretical results with numerical experiments.
Heated policy: policy actors’ emotional storylines and conflict escalation
Authors: Verhoeven Imrat , Metze Tamara 
Published: April 2022

AbstractPolicy conflict is gaining attention in policy studies. In this paper, we explore the relation between emotional storylines and policy conflict escalation in the case of the Dutch gasquakes in the north of the country. Based on a longitudinal analysis of emotional storylines in 1308 newspaper articles and additional empirical data we find that Dutch subnational governmental actors as well as citizen action groups discursively express emotional storylines about anxiety/fear, anger, and contempt in relation to discursive expressions of trustworthiness/distrust. Over time, specific combinations of these emotional storylines shape the interpretation of the problem and point toward responsible actors. Also the way in which specific sequences of emotional storylines develop (particularly from fear to anger) suggests a discursive escalation. In addition, discursive escalation can be found in the increased intensity of specific emotional storylines. We conclude that the combinations, sequencing and increasing intensity of the emotional storylines suggest a process of emotionally expressed escalation, which we have only just begun to explore.