bluuebunny/crossref_metadata_2025_split huggingface dataset:
Continuous K-theory and cohomology of rigid spaces
Authors: Dahlhausen Christian 
Published: April 2023

AbstractWe establish a connection between continuous K-theory and integral cohomology of rigid spaces. Given a rigid analytic space over a complete discretely valued field, its continuous K-groups vanish in degrees below the negative of the dimension. Likewise, the cohomology groups vanish in degrees above the dimension. The main result provides the existence of an isomorphism between the lowest possibly non-vanishing continuous K-group and the highest possibly non-vanishing cohomology group with integral coefficients. A key role in the proof is played by a comparison between cohomology groups of an admissible Zariski-Riemann space with respect to different topologies; namely, the rh-topology which is related to K-theory as well as the Zariski topology whereon the cohomology groups in question rely.
Evolutionary Aspects of Selenium Binding Protein (SBP)
Authors: Dervisi Irene , Valassakis Chrysanthi , Koletti Aikaterini , Kouvelis Vassilis N. , Flemetakis Emmanouil , Ouzounis Christos A. , Roussis Andreas 
Published: April 2023

AbstractSelenium-binding proteins represent a ubiquitous protein family and recently SBP1 was described as a new stress response regulator in plants. SBP1 has been characterized as a methanethiol oxidase, however its exact role remains unclear. Moreover, in mammals, it is involved in the regulation of anti-carcinogenic growth and progression as well as reduction/oxidation modulation and detoxification. In this work, we delineate the functional potential of certain motifs of SBP in the context of evolutionary relationships. The phylogenetic profiling approach revealed the absence of SBP in the fungi phylum as well as in most non eukaryotic organisms. The phylogenetic tree also indicates the differentiation and evolution of characteristic SBP motifs. Main evolutionary events concern the CSSC motif for which Acidobacteria, Fungi and Archaea carry modifications. Moreover, the CC motif is harbored by some bacteria and remains conserved in Plants, while modified to CxxC in Animals. Thus, the characteristic sequence motifs of SBPs mainly appeared in Archaea and Bacteria and retained in Animals and Plants. Our results demonstrate the emergence of SBP from bacteria and most likely as a methanethiol oxidase.
Accuracy of non-medical and medical individuals in identifying cerebral cortical abnormality from three-dimensional printed models of magnetic resonance images in children with hypoxic ischemic injury
Authors: Chacko Anith , Venkatakrishna Shyam Sunder B. , Schoeman Sean , Andronikou Savvas 
Published: April 2023

AbstractEffective communication of imaging findings in term hypoxic ischemic injury to family members, non-radiologist colleagues and members of the legal profession can be extremely challenging through text-based radiology reports. Utilization of three-dimensional (D) printed models, where the actual findings of the brain can be communicated via tactile perception, is a potential solution which has not yet been tested in practice. We aimed to determine the sensitivity and specificity of different groups, comprising trained radiologists, non-radiologist physicians and non-physicians, in the detection of gross disease of the cerebral cortex from 3-D printed brain models derived from magnetic resonance imaging (MRI) scans of children. Ten MRI scans in children of varying ages with either watershed pattern hypoxic ischemic injury (cortical injury) or basal-ganglia-thalamus hypoxic ischemic injury pattern with limited perirolandic cortical abnormalities and 2 normal MRI scans were post processed and 3-D printed. In total, 71 participants reviewed the 12 models and were required to indicate only the brain models that they felt were abnormal (with a moderate to high degree of degree of confidence). The 71 participants included in the study were 38 laypeople (54%), 17 radiographic technologists (24%), 6 nurses (8%), 5 general radiologists (7%), 4 non-radiologist physicians— 3 pediatricians and 1 neurologist (6%) and 1 emergency medical services staff (1%). The sensitivity and specificity for detecting the abnormal brains of the 71 participants were calculated. Radiologists showed the highest sensitivity (72%) and specificity (70%). Non-radiologist physicians had a sensitivity of 67.5% and a specificity of 75%. Nurses had a sensitivity of 70% and a specificity of 41.7%. Laypeople (non-medical trained) had a sensitivity of 56.1% and a specificity of 55.3%. Radiologists’ high sensitivity and specificity of 72% and 70%, respectively, validates the accuracy of the 3-D-printed models in reproducing abnormalities from MRI scans. The non-radiologist physicians also had a high sensitivity and specificity. Laypeople, without any prior training or guidance in looking at the models, had a sensitivity of 56.1% and a specificity of 55.3%. These results show the potential for use of the 3-D printed brains as an alternate form of communication for conveying the pathological findings of hypoxic ischemic injury of the brain to laypeople.
Prevalence and risk factors of depressive symptoms in children and adolescents with juvenile idiopathic arthritis
Authors: Roemer Johanna , Klein Ariane , Horneff Gerd 
Published: April 2023

AbstractDepression is a serious disorder disproportionately affecting people with chronic diseases, yet, to date is rarely recognized comorbidity in pediatric rheumatology clinical routine care. The aim of this study was to investigate the prevalence of depressive symptoms and depression in children with Juvenile idiopathic arthritis (JIA) and to identify associations to risk factors. Depressive symptoms were assessed using the Beck’s Depression Inventory (BDI)-Fast Screen Questionnaire validated for ages 13 and older and confirmed by the BDI or Hamilton Depression Scale. A cross-sectional analysis of 148 patients attending the rheumatology outpatient clinic of the Asklepios Children’s Hospital Sankt Augustin between January 2018 and May 2019 was performed. Possible associations between routinely assessed parameters of disease activity and treatment were analysed. 148 JIA patients (71.5% female), median age 14.7 years, were included. The prevalence for depressive symptoms was 13% and for depression 9.5%, of which 71.4% were newly identified with depression. Significant associations with depressive symptoms included rheumatoid factor negative polyarthritis, higher pain scores, functional limitations, higher disease activity, decreased general well-being, higher number of medications taken and not being in remission. In addition, poor treatment response (persistent pain despite therapy) and failure to achieve minimal activity/remission of disease despite intensified therapy with biologics correlated significantly with depressive symptoms. Depressive symptoms are an important comorbidity in JIA. Early recognition and treatment of psychological distress is essential to prevent deterioration in quality of life and long-term prognosis. Consequently, treat-to-target principles should include mental health as a therapeutic goal.
Superposition of AC-DBD plasma actuator outputs for three-dimensional disturbance production in shear flows
Authors: Kurelek John W. , Kotsonis Marios , Yarusevych Serhiy 
Published: April 2023

AbstractThis investigation explores the utility of Alternating Current, Dielectric Barrier Discharge (AC-DBD) plasma actuators for producing three-dimensional disturbances of a desired spanwise wavelength via superposition. The technique utilizes two pairs of exposed and covered electrodes on a single dielectric layer arranged in streamwise succession. Two-dimensional forcing is achieved through operation of the upstream, spanwise uniform electrode pair, while three-dimensional forcing at a prescribed spanwise wavelength is attained by operating both electrode pairs simultaneously, with the downstream actuator spanwise modulating the upstream, two-dimensional output. The ability to produce disturbances of different spanwise wavelengths but with equal streamwise wavelength, frequency and total momentum is established through a combined characterization effort that considers quiescent and in-flow conditions. A demonstration of the technique in an exemplary wall-bounded shear flow, a laminar separation bubble, is provided, revealing spanwise wavelength dependent disturbance growth in the flow that could be exploited for performance gains in future flow control endeavours.
Graphical abstract
How consequences of colorectal cancer treatment are managed: a qualitative study of stakeholder experiences about supportive care and current practices
Authors: Rutherford Claudia , Ju Angela , Kim Bora , Wiltink Lisette , Acret Louise , White Kate 
Published: April 2023

Abstract
Purpose
Colorectal cancer (CRC) survivors experience treatment-effects such as symptoms and functional impairments. There is limited evidence about how these are managed and what services or supports are available in the community. We aimed to identify current practice and available supports for managing consequences of treatment from clinician and CRC survivor perspectives.

Methods
This qualitative study, informed by an interpretivist constructionist paradigm, included semi-structured interviews. Clinicians with experience of treating CRC patients and adult CRC survivors were recruited across Australia. Interviews explored experiences about problems experienced after CRC treatment and how these were managed. Data collection and analysis, using thematic analysis, was iterative whereby emergent themes during analysis were incorporated into subsequent interviews.

Results
We interviewed 16 clinicians and 18 survivors. Survivors experienced a range of consequences of treatment amendable to support including allied health, information, and self-management. Barriers to support access included clinicians’ worry about patient out-of-pocket expenses, long waitlists, lack of awareness about existing supports, and perception no therapeutic options were available. Healthcare professionals with expertise in CRC were often difficult to identify outside of cancer settings. Survivorship care could be improved with individualised timely information and identification of pathways to access healthcare providers with expertise in managing consequences of CRC treatment within primary care.

Conclusions
To improve CRC survivor lives posttreatment, routine assessment of consequences of treatment, individualised care planning involving relevant healthcare professionals, access to supportive care when needed, and improved information provision and engagement of a range of health professionals in follow-up care are needed.
Between ambitions and actions: how citizens navigate the entrepreneurial process of co-producing sustainable urban food futures
Authors: van der Gaast Koen , Jansma Jan Eelco , Wertheim-Heck Sigrid 
Published: April 2023

AbstractCities increasingly envision sustainable future food systems. The realization of such futures is often understood from a planning perspective, leaving the role of entrepreneurship out of scope. The city of Almere in the Netherlands provides a telling example. In the neighborhood Almere Oosterwold, residents must use 50% of their plot for urban agriculture. The municipality formulated an ambition that over time, 10% off all food consumed in Almere must be produced in Oosterwold. In this study, we assume the development of urban agriculture in Oosterwold is an entrepreneurial process, i.e. a creative (re)organization that is ongoing and intervenes in daily life. To understand how this entrepreneurial process helps to realize sustainable food futures, this paper explores what futures for urban agriculture residents of Oosterwold prefer and deem possible and how these futures are organized in the present. We use futuring to explore possible and preferable images of the future, and to backcast those images to the present day. Our findings show residents have different perspectives of the future. Furthermore, they are capable in formulating specific actions to obtain the futures they prefer, but have trouble committing to the actions themselves. We argue this is the result of a temporal dissonance, a myopia where residents have trouble looking beyond their own situation. It shows imagined futures must fit with the lived experiences of citizens in order to be realized. We conclude that urban food futures need planning and entrepreneurship to be realized since they are complementary social processes.
A Review of the Use of Carbon Nanostructures and Other Reducing Agents During Auto-reduction for Fischer–Tropsch Synthesis and Other Applications
Authors: Ncube Selusiwe , Moyo Mahluli 
Published: April 2023

AbstractFischer–Tropsch Synthesis (FTS) is an important process in the production of liquid fuels in the energy sector, due to its flexibility for use with other technologies that can produce carbon monoxide (CO) and hydrogen. Catalysts have found substantial use in FTS to improve the process efficiency. However, the use of conventional FTS catalyst reduction techniques using (hydrogen (H2), CO and syngas) to activate the metal precursor has been accompanied by strong metal-support interactions. Such limitations have driven the quest for better technologies to ensure FTS catalysis reaches its full capacity. In this article, we review the activation techniques used, with emphasis on the contemporary auto-reduction technique, which has revealed energy-saving merits. Auto-reduction has the advantage of reducing the number of steps involved in catalyst preparation prior to FTS as well as eliminating costly reducing agents such as H2, CO and syngas. Auto-reduction in this article refers to the reduction of the metal precursor using a carbon support. We firstly provide a comprehensive review of the traditional reducing agents, followed by a review of the contemporary auto-reduction technique. A comparison of the conventional FTS catalyst reduction and auto-reduction techniques is provided to allow for a fundamental understanding of the merits and demerits of both techniques. The different types of nanostructured carbon materials used in aiding auto-reduction for the FTS process are reviewed.
Graphical Abstract
Predictable timing behavior of gracefully degrading automotive systems
Authors: Weiss Philipp , Steinhorst Sebastian 
Published: April 2023

AbstractFail-operational behavior of safety-critical software for autonomous driving is essential as there is no driver available as a backup solution. In a failure scenario, safety-critical tasks can be restarted on other available hardware resources. Here, graceful degradation can be used as a cost-efficient solution where hardware resources are redistributed from non-critical to safety-critical tasks at run-time. We allow non-critical tasks to actively use resources that are reserved as a backup for critical tasks, which would be otherwise unused and which are only required in a failure scenario. However, in such a scenario, it is of paramount importance to achieve a predictable timing behavior of safety-critical applications to allow a safe operation. Here, it has to be ensured that even after the restart of safety-critical tasks a guarantee on execution times can be given. In this paper, we propose a graceful degradation approach using composable scheduling. We use our approach to present, for the first time, a performance analysis which is able to analyze timing constraints of fail-operational distributed applications using graceful degradation. Our method can verify that even during a critical Electronic Control Unit failure, there is always a backup solution available which adheres to end-to-end timing constraints. Furthermore, we present a dynamic decentralized mapping procedure which performs constraint solving at run-time using our analytical approach combined with a backtracking algorithm. We evaluate our approach by comparing mapping success rates to state-of-the-art approaches such as active redundancy and an approach based on resource availability. In our experimental setup our graceful degradation approach can fit about double the number of critical applications on the same architecture compared to an active redundancy approach. Combined, our approaches enable, for the first time, a dynamic and fail-operational behavior of gracefully degrading automotive systems with cost-efficient backup solutions for safety-critical applications.
Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
Authors: Michos Konstantinos , Schmitz Maria-Luisa , Petko Dominik 
Published: April 2023

AbstractSince schools increasingly use digital platforms that provide educational data in digital formats, teacher data use, and data literacy have become a focus of educational research. One main challenge is whether teachers use digital data for pedagogical purposes, such as informing their teaching. We conducted a survey study with N = 1059 teachers in upper secondary schools in Switzerland to investigate teacher digital data use and related factors such as the available technologies in schools. Descriptive analysis of the survey responses indicated that although more than half of Swiss upper-secondary teachers agreed with having data technologies at their disposal, only one-third showed a clear tendency to use these technologies, and only one-quarter felt positively confident in improving teaching in this way. An in-depth multilevel modeling showed that teachers’ use of digital data could be predicted by differences between schools, teachers’ positive beliefs towards digital technologies (will), self-assessed data literacy (skill), and access to data technologies (tool) as well as by general factors such as frequency of using digital devices in lessons by students. Teacher characteristics, such as age and teaching experience, were minor predictors. These results show that the provision of data technologies needs to be supplemented with efforts to strengthen teacher data literacy and use in schools.
Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification
Authors: Brenning Alexander 
Published: April 2023

AbstractModel-agnostic tools for the post-hoc interpretation of machine-learning models struggle to summarize the joint effects of strongly dependent features in high-dimensional feature spaces, which play an important role in semantic image classification, for example in remote sensing of landcover. This contribution proposes a novel approach that interprets machine-learning models through the lens of feature-space transformations. It can be used to enhance unconditional as well as conditional post-hoc diagnostic tools including partial-dependence plots, accumulated local effects (ALE) plots, permutation feature importance, or Shapley additive explanations (SHAP). While the approach can also be applied to nonlinear transformations, linear ones are particularly appealing, especially principal component analysis (PCA) and a proposed partial orthogonalization technique. Moreover, structured PCA and model diagnostics along user-defined synthetic features offer opportunities for representing domain knowledge. The new approach is implemented in the R package , which can be combined with existing explainable machine-learning packages. A case study on remote-sensing landcover classification with 46 features is used to demonstrate the potential of the proposed approach for model interpretation by domain experts. It is most useful in situations where groups of feature are linearly dependent and PCA can provide meaningful multivariate data summaries.
On a matrix element representation of the GKZ hypergeometric functions
Authors: Gerasimov A. A. , Lebedev D. R. , Oblezin S. V. 
Published: April 2023

AbstractWe develop a representation theory approach to the study of generalized hypergeometric functions of Gelfand, Kapranov and Zelevisnky (GKZ). We show that the GKZ hypergeometric functions may be identified with matrix elements of non-reductive Lie algebras $${\mathfrak L}_N$$

L
N

of oscillator type. The Whittaker functions associated with principal series representations of $$\mathfrak {gl}_{\ell +1}({\mathbb {R}})$$

gl

ℓ
+
1

(
R
)

being special cases of GKZ hypergeometric functions thus admit along with a standard matrix element representations associated with reductive Lie algebra $$\mathfrak {gl}_{\ell +1}({\mathbb {R}})$$

gl

ℓ
+
1

(
R
)

, another matrix element representation in terms of $${\mathfrak L}_{\ell (\ell +1)}$$

L

ℓ
(
ℓ
+
1
)

.
Inverted resonance capture cascade: modal interactions of a nonlinear energy sink with softening stiffness
Authors: Dekemele Kevin , Habib Giuseppe 
Published: April 2023

AbstractNonlinear energy sinks (NESs) are broadband passive vibration absorbers that are nonlinearly connected to a host system. If an NES is attached to a multi-degree-of-freedom mechanical host system under transient loading, the vibrations in the host system will transfer to and dissipate in the NES. During this transfer, the NES sequentially resonates with the modal frequencies of the host system, dissipating one mode at a time. This phenomenon is called resonance capture cascade (RCC). So far, RCC has only been investigated for NESs with a hardening nonlinear stiffness. Because of this stiffness, the transfer of modal vibrations happens from high to low frequency. In this study, an NES with a softening stiffness is proposed. Investigating the slow invariant manifolds reveals that an inverted resonance capture cascade occurs, where the transfer of vibrations to the NES is from low to high frequency. The analysis is carried out by exploiting high-dimensional slow invariant manifolds. The proposed NES is compared to the conventional NES with hardening stiffness.
Animal models of Soft Tissue Sarcoma for alternative anticancer therapy studies: characterization of the A-72 Canine Cell Line
Authors: Razzuoli Elisabetta , Chirullo Barbara , De Ciucis Chiara Grazia , Mecocci Samanta , Martini Isabella , Zoccola Roberto , Campanella Chiara , Varello Katia , Petrucci Paola , Di Meo Antonio , Bozzetta Elena , Tarantino Michela , Goria Maria , Modesto Paola 
Published: April 2023

AbstractCanine Soft Tissue Sarcoma (STS) cell line A-72 has been largely employed for antiviral and antiproliferative studies. However, there are few information on their characteristics. Our aim was to evaluate A-72 expression level of genes and proteins involved in the innate immune response and cell cycle, their ability to respond to infective stressors and their possible use as a cellular model for anti-cancer studies in human and animal medicine. For this purpose, we evaluated the basal expression of immune-related, cell cycle and DNA repair genes on this cell line and tumoral tissues. A-72 ability to respond to a wild-type strain of Salmonella typhimurium was assessed. S. typhimurium showed ability to penetrate A-72 causing pro-inflammatory response accompanied by a decrease of cell viability. IL10 and IL18 genes were not expressed in A-72 while CXCL8, NOS2, CXCR4 and PTEN were highly expressed in all samples and TP53 was slightly expressed, as shown in human STS. Our results outline the ability of A-72 to respond to a bacterial agent by modifying the expression of important genes involved in innate immune response and provide a useful model for in vitro evaluation of new therapeutic approaches that could be translated into the human oncology.