bluuebunny/crossref_metadata_2025 huggingface dataset:
Mixed anomalies, two-groups, non-invertible symmetries, and 3d superconformal indices
Authors: Mekareeya Noppadol , Sacchi Matteo
Published: January 2023

Abstract

Mixed anomalies, higher form symmetries, two-group symmetries and non-invertible symmetries have proved to be useful in providing non-trivial constraints on the dynamics of quantum field theories. We study mixed anomalies involving discrete zero-form global symmetries, and possibly a one-form symmetry, in 3d $$ \mathcal{N} $$
N
≥ 3 gauge theories using the superconformal index. The effectiveness of this method is demonstrated via several classes of theories, including Chern-Simons-matter theories, such as the U(1)k gauge theory with hypermultiplets of diverse charges, the T (SU(N)) theory of Gaiotto-Witten, the theories with 𝔰𝔬(2N)2k gauge algebra and hypermultiplets in the vector representation, and variants of the Aharony-Bergman-Jafferis (ABJ) theory with the orthosymplectic gauge algebra. Gauging appropriate global symmetries of some of these models, we obtain various interesting theories with non-invertible symmetries or two-group structures.
Unlikely intersections of curves with algebraic subgroups in semiabelian varieties
Authors: Barroero Fabrizio , Kühne Lars , Schmidt Harry
Published: January 2023

Let G be a semiabelian variety and $$C$$
C
a curve in G that is not contained in a proper algebraic subgroup of G. In this situation, conjectures of Pink and Zilber imply that there are at most finitely many points contained in the so-called unlikely intersections of $$C$$
C
with subgroups of codimension at least 2. In this note, we establish this assertion for general semiabelian varieties over $$\overline{\mathbb {Q}}$$

Q
¯

. This extends results of Maurin and Bombieri, Habegger, Masser, and Zannier in the toric case as well as Habegger and Pila in the abelian case.
Effects of systematic data reduction on trend estimation from German registration trials
Authors: Hartung Jens , Laidig Friedrich , Piepho Hans-Peter
Published: January 2023

Key message

VCU trials can provide unbiased estimates of post-breeding trends given that all data is used. Dropping data of genotypes tested for up to two years may result in biased post-breeding trend estimates.

Increasing yield trends are seen on-farm in Germany. The increase is based on genetic trend in registered genotypes and changes in agronomic practices and climate. To estimate both genetic and non-genetic trends, historical wheat data from variety trials evaluating a varieties’ value for cultivation und use (VCU) were analyzed. VCU datasets include information on varieties as well as on genotypes that were submitted by breeders and tested in trials but could not make it to registration. Therefore, the population of registered varieties (post-registration population) is a subset of the population of genotypes tested in VCU trials (post-breeding population). To assess post-registration genetic trend, historical VCU trial datasets are often reduced, e.g. to registered varieties only. This kind of drop-out mechanism is statistically informative which affects variance component estimates and which can affect trend estimates. To investigate the effect of this informative drop-out on trend estimates, a simulation study was conducted mimicking the structure of German winter wheat VCU trials. Zero post-breeding trends were simulated. Results showed unbiased estimates of post-breeding trends when using all data. When restricting data to genotypes tested for at least three years, a positive genetic trend of 0.11 dt ha−1 year−1 and a negative non-genetic trend (− 0.11 dt ha−1 year−1) were observed. Bias increased with increasing genotype-by-year variance and disappeared with random selection. We simulated single-trait selection, whereas decisions in VCU trials consider multiple traits, so selection intensity per trait is considerably lower. Hence, our results provide an upper bound for the bias expected in practice.
Camera-based high precision position detection for hybrid additive manufacturing with laser powder bed fusion
Authors: Merz Benjamin , Nilsson Ricardo , Garske Constantin , Hilgenberg Kai
Published: January 2023

Additive manufacturing (AM) in general and laser powder bed fusion (PBF-LB/M) in particular are becoming increasingly important in the field of production technologies. Especially the high achievable accuracies and the great freedom in design make PBF-LB/M interesting for the manufacturing and repair of gas turbine blades. Part repair involves building AM-geometries onto an existing component. To minimise the offset between component and AM-geometry, a precise knowledge of the position of the component in the PBF-LB/M machine is mandatory. However, components cannot be inserted into the PBF-LB/M machine with repeatable accuracy, so the actual position will differ for each part. For an offset-free build-up, the actual position of the component in the PBF-LB/M machine has to be determined. In this paper, a camera-based position detection system is developed considering PBF-LB/M constraints and system requirements. This includes finding an optimal camera position considering the spatial limitations of the PBF-LB/M machine and analysing the resulting process coordinate systems. In addition, a workflow is developed to align different coordinate systems and simultaneously correct the perspective distortion in the acquired camera images. Thus, position characteristics can be determined from images by image moments. For this purpose, different image segmentation algorithms are compared. The precision of the system developed is evaluated in tests with 2D objects. A precision of up to 30μm in translational direction and an angular precision of 0.021∘ is achieved. Finally, a 3D demonstrator was built using this proposed hybrid strategy. The offset between base component and AM-geometry is determined by 3D scanning and is 69μm.
Long-term risk associated with clonal hematopoiesis in patients with severe aortic valve stenosis undergoing TAVR
Authors: Mas-Peiro Silvia , Pergola Graziella , Berkowitsch Alexander , Meggendorfer Manja , Rieger Michael A. , Vasa-Nicotera Mariuca , Dimmeler Stefanie , Zeiher Andreas M.
Published: January 2023

Background

Mutations in the clonal hematopoiesis of indeterminate potential (CHIP)-driver genes DNMT3A and TET2 have been previously shown to be associated with short-term prognosis in patients undergoing TAVR for aortic valve stenosis. We aimed to extend and characterize these findings on long-term outcome in a large cohort.

Methods

A total of 453 consecutive patients undergoing TAVR were included in an up to 4-year follow-up study. Next-generation sequencing was used to identify DNMT3A- and/or TET2-CHIP-driver mutations. Primary endpoint was all-cause mortality. Since CHIP-driver mutations appear to be closely related to DNA methylation, results were also assessed in patients who never smoked, a factor known to interfere with DNA methylation.

Results

DNMT3A-/TET2-CHIP-driver mutations were present in 32.4% of patients (DNMT3An = 92, TET2n = 71), and were more frequent in women (52.4% vs. 38.9%,p = 0.007) and older participants (83.3 vs. 82.2 years,p = 0.011), while clinical characteristics or blood-derived parameters did not differ. CHIP-driver mutations were associated with a significantly higher mortality up to 4 years after TAVR in both univariate (p = 0.031) and multivariate analyses (HR 1.429, 95%CI 1.014–2.013,p = 0.041). The difference was even more pronounced (p = 0.011) in never smokers. Compared to TET2 mutation carriers, patients with DNMT3A mutations had significantly less frequently concomitant coronary and peripheral artery disease.

Conclusion

DNMT3A- and TET2-CHIP-driver mutations are associated with long-term mortality in patients with aortic valve stenosis even after a successful TAVR. The association is also present in never smokers, in whom no biasing effect from smoking on DNA methylation is to be expected.

Graphical Abstract
Prediction of conduction disturbances in patients undergoing transcatheter aortic valve replacement
Authors: Pavlicek Valérie , Mahfoud Felix , Bubel Katharina , Fries Peter , Ewen Sebastian , Böhm Michael , Scheller Bruno , Ukena Christian
Published: January 2023

Aim

Transcatheter aortic valve replacement (TAVR) can cause intraventricular conduction disturbances (ICA), particularly left bundle branch block (BBB) and high-degree atrioventricular block (HAVB). The aim of this study was to investigate clinical, anatomical, procedural, and electrophysiological parameters predicting ICA after TAVR.

Methods

Patients with severe aortic stenosis (n = 203) without pacing devices undergoing TAVR with a self-expanding (n = 103) or balloon-expanding (n = 100) valve were enrolled. Clinical and anatomical parameters, such as length of the membranous septum (MS) and implantation depth, were assessed. His-ventricular interval (HVi) before and after implantation was determined. 12-lead-electrocardiograms (ECG) before, during and after 3 and 30 days after TAVR were analyzed for detection of any ICA.

Results

Among 203 consecutive patients (aortic valve area 0.78 ± 0.18 cm2, age 80 ± 6 years, 54% male, left ventricular ejection fraction 52 ± 10%), TAVR led to a significant prolongation of infranodal conduction in all patients from 49 ± 10 ms to 59 ± 16 ms (p = 0.01). The HVi prolongation was independent of valve types, occurrence of HAVB or ICA. Fifteen patients (7%) developed HAVB requiring permanent pacemaker (PPM) implantation and 63 patients (31%) developed ICA within 30 days. Pre-existing BBB (OR 11.64; 95% CI 2.87–47.20; p = 0.001), new-onset left BBB (OR 15.72; 95% CI 3.05–81.03; p = 0.001), and diabetes mellitus (OR 3.88; 95% CI 1.30–15.99; p = 0.02) independently predicted HAVB requiring PPM. Neither pre-existing right BBB, a prolonged postHVi, increases in PR duration, any of the TAVR implantation procedural and anatomic nor echocardiographic characteristics were predictive for later HAVB.

Conclusions

New-onset left BBB and diabetes mellitus independently predicted HAVB requiring PPM after TAVR and helped to identify patients at risk. Electrophysiologic study (EPS) of atrioventricular conduction was neither specific nor predictive of HAVB and can be skipped.

Trial registration number

NCT04128384 (https://www.clinicaltrials.gov).

Graphical abstract
The role of exercise and hypoxia on glucose transport and regulation
Authors: Soo J. , Raman A. , Lawler N. G. , Goods P. S. R. , Deldicque L. , Girard O. , Fairchild T. J.
Published: January 2023

Muscle glucose transport activity increases with an acute bout of exercise, a process that is accomplished by the translocation of glucose transporters to the plasma membrane. This process remains intact in the skeletal muscle of individuals with insulin resistance and type 2 diabetes mellitus (T2DM). Exercise training is, therefore, an important cornerstone in the management of individuals with T2DM. However, the acute systemic glucose responses to carbohydrate ingestion are often augmented during the early recovery period from exercise, despite increased glucose uptake into skeletal muscle. Accordingly, the first aim of this review is to summarize the knowledge associated with insulin action and glucose uptake in skeletal muscle and apply these to explain the disparate responses between systemic and localized glucose responses post-exercise. Herein, the importance of muscle glycogen depletion and the key glucoregulatory hormones will be discussed. Glucose uptake can also be stimulated independently by hypoxia; therefore, hypoxic training presents as an emerging method for enhancing the effects of exercise on glucose regulation. Thus, the second aim of this review is to discuss the potential for systemic hypoxia to enhance the effects of exercise on glucose regulation.
Neurofilament light chain marks severity of papilledema in idiopathic intracranial hypertension
Authors: Knoche Theresia , Gaus Verena , Haffner Paula , Kowski Alexander
Published: January 2023

Background

Neurofilament light chain (NfL) reflects axonal damage in neurological disorders. It has recently been evaluated in idiopathic intracranial hypertension (IIH). A biomarker indicating the severity of optic nerve damage in IIH could support diagnostic accuracy and therapeutic decisions.

Methods

We retrospectively reviewed NfL concentrations in the cerebrospinal fluid (CSF) of 35 IIH patients and 12 healthy controls, who had received diagnostic workup for IIH in our clinic. The diagnosis of IIH was made according to the modified Friedman criteria for IIH and for IIH without papilledema Friedman DI et al Neurol 81:1159–1165 (2013) [1]. NfL in the CSF (CSF-NfL) was correlated with the severity of papilledema and with CSF opening pressure.

Results

CSF-NfL correlated with CSF opening pressure at the time of collection. In patients with IIH and moderate or severe papilledema, CSF-NfL was significantly increased compared to patients with mild or no papilledema. Healthy controls with raised intracranial pressure showed no relevant elevation of CSF-NfL.

Conclusion

CSF-NfL appears to correlate with the severity of papilledema in IIH and with CSF opening pressure and may therefore be a predictor of optic nerve damage in IIH patients.
Staphylococcus aureus sequence type (ST) 45, ST30, and ST15 in the gut microbiota of healthy infants — persistence and population counts in relation to ST and virulence gene carriage
Authors: Nowrouzian Forough L. , Stadler Liselott Svensson , Östblom Anna , Lindberg Erika , Lina Gerard , Adlerberth Ingegerd , Wold Agnes E.
Published: January 2023

Staphylococcus aureus colonizes the anterior nares, and also the gut, particularly in infants. S. aureus is divided into lineages, termed clonal complexes (CCs), which comprise closely related sequence types (STs). While CC30 and CC45 predominate among nasal commensals, their prevalence among gut-colonizing S. aureus is unknown. Here, 67 gut commensal S. aureus strains from 49 healthy Swedish infants (aged 3 days to 12 months) were subjected to multi-locus sequence typing. The STs of these strains were related to their virulence gene profiles, time of persistence in the microbiota, and fecal population counts. Three STs predominated: ST45 (22% of the strains); ST15 (21%); and ST30 (18%). In a logistic regression, ST45 strains showed higher fecal population counts than the others, independent of virulence gene carriage. The lower fecal counts of ST15 were linked to the carriage of fib genes (encoding fibrinogen-binding proteins), while those of ST30 were linked to fib and sea (enterotoxin A) carriage. While only 11% of the ST15 and ST30 strains were acquired after 2 months of age, this was true of 53% of the ST45 strains (p = 0.008), indicating that the former may be less fit for establishment in a more mature microbiota. None of the ST45 strains was transient (persisting < 3 weeks), and persistent ST45 strains colonized for significantly longer periods than persistent strains of other STs (mean, 34 vs 22 weeks, p = 0.04). Our results suggest that ST45 strains are well-adapted for commensal gut colonization in infants, reflecting yet-unidentified traits of these strains.
Thermal and Postural Effects on Fluid Mixing and Irrigation Patterns for Intraventricular Hemorrhage Treatment
Authors: Bilgi Coskun , Amlani Faisal , Wei Heng , Rizzi Nick , Pahlevan Niema M.
Published: January 2023

Intraventricular hemorrhage is characterized by blood leaking into the cerebral ventricles and mixing with cerebrospinal fluid. A standard treatment method involves inserting a passive drainage catheter, known as an external ventricular drain (EVD), into the ventricle. EVDs have common adverse complications, including the occlusion of the catheter, that may lead to permanent neural damage or even mortality. In order to prevent such complications, a novel dual-lumen catheter (IRRAflow®) utilizing an active fluid exchange mechanism has been recently developed. However, the fluid dynamics of the exchange system have not been investigated. In this study, convective flow in a three-dimensional cerebral lateral ventricle with an inserted catheter is evaluated using an in-house lattice-Boltzmann-based fluid–solid interaction solver. Different treatment conditions are simulated, including injection temperature and patient position. Thermal and gravitational effects on medication distribution are studied using a dye simulator based on a recently-introduced (pseudo)spectral convection–diffusion equation solver. The effects of injection temperature and patient position on catheter performance are presented and discussed in terms of hematoma irrigation, vortical structures, mixing, and medication volume distribution. Results suggest that cold-temperature injections can increase catheter efficacy in terms of dye distribution and irrigation potential, both of which can be further guided by patient positioning.
Mindful Parenting Group Intervention for Parents of Children with Anxiety Disorders
Authors: Farley Robyn , de Diaz Natalja A. Nabinger , Emerson Lisa Marie , Simcock Gabrielle , Donovan Caroline , Farrell Lara J.
Published: January 2023

Parenting behaviour and rearing style contribute to the intergenerational relationship between parental and child anxiety. Current psychological interventions for child anxiety typically do not adequately address parental mental health, parenting behaviours or the parent–child relationship. The current pilot study examines the effectiveness of a mindful parenting intervention (MPI) for parents of young children with clinical anxiety. It was hypothesised that the intervention would be associated with improvements in parental stress, mental health, and mindfulness, and a reduction in child clinical anxiety symptoms. Twenty-one parents of children aged 3–7 years diagnosed with anxiety disorders participated in an 8-week group MPI program that aimed to increase their intentional moment to moment awareness of the parent–child relationship. Parental (anxiety, depression, hostility, stress, burden, mindfulness, mindful parenting) and child (anxiety diagnoses, anxiety severity, comorbidities) outcomes were assessed at pre- and post-intervention, and at 3-month follow-up. Parents reported a significant increase in mindful parenting and a significant reduction in parent–child dysfunctional interaction, but no change in mental health symptoms. There was a significant reduction in parent-rated child anxiety symptoms, severity of child anxiety diagnosis and number of comorbid diagnoses at post and 3-month follow-up. Limitations include a lack of waitlist control, small sample size, and participants were largely mothers, from intact families and highly educated. There was attrition of 43% and outcomes were predominantly self-report. MPIs offer a novel and potentially effective method of increasing mindful parenting, decreasing dysfunctional parent–child interactions, reducing parenting stress and might also be an effective early intervention for indirectly decreasing young children’s clinical anxiety symptoms. Larger-scale controlled trials of MPIs are needed.
Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies
Authors: Bowyer Ruth C. E. , Huggins Charlotte , Toms Renin , Shaw Richard J. , Hou Bo , Thompson Ellen J. , Kwong Alex S. F. , Williams Dylan M. , Kibble Milla , Ploubidis George B. , Timpson Nicholas J. , Sterne Jonathan A. C. , Chaturvedi Nishi , Steves Claire J. , Tilling Kate , Silverwood Richard J. ,   the CONVALESCENCE Study
Published: January 2023

Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups (‘no COVID-19’, ‘COVID-19 in last 12 weeks’, ‘COVID-19 > 12 weeks ago’), the data did not support the presence of more than two distinct symptom patterns, representing high and low symptom burden, in each group. Comparing the high symptom burden classes between the ‘COVID-19 in last 12 weeks’ and ‘no COVID-19’ groups we identified symptoms characteristic of acute COVID-19, including loss of taste and smell, fatigue, cough, shortness of breath and muscle pains or aches. Comparing the high symptom burden classes between the ‘COVID-19 > 12 weeks ago’ and ‘no COVID-19’ groups we identified symptoms characteristic of long COVID, including fatigue, shortness of breath, muscle pain or aches, difficulty concentrating and chest tightness. The identified symptom patterns among individuals with COVID-19 > 12 weeks ago were strongly associated with self-reported length of time unable to function as normal due to COVID-19 symptoms, suggesting that the symptom pattern identified corresponds to long COVID. Building the evidence base regarding typical long COVID symptoms will improve diagnosis of this condition and the ability to elicit underlying biological mechanisms, leading to better patient access to treatment and services.
Observation of the Coastal Areas, Estuaries and Deltas from Space
Authors: Laignel Benoit , Vignudelli Stefano , Almar Rafael , Becker Mélanie , Bentamy Abderrahim , Benveniste Jérôme , Birol Florence , Frappart Frédéric , Idier Deborah , Salameh Edward , Passaro Marcello , Menende Melisa , Simard Marc , Turki Emma Imen , Verpoorter Charles
Published: January 2023

Coastal regions (including estuaries and deltas) are very complex environments with diverse hydrodynamic and bio-geomorphological contexts and with important socio-economic and ecological problems. These systems are among the most affected by human impact through urbanization and port activities, industrial and tourism activities. They are directly affected by the impact of climate change on sea level, storm surges frequency and strength, as well as recurrence of coastal river floods. A sustainable future for coastal zones depends on our capacity to implement systematic monitoring with focus on: (1) forcings affecting coastal zones at different spatio-temporal scales (sea level rise, winds and waves, offshore and coastal currents, tides, storm surges, river runoff in estuaries and deltas, sediment supply and transport, vertical land motions and land use); (2) morphological response (e.g., shoreline migration, topographical changes). Over the last decades, remote sensing observations have contributed to major advances in our understanding of coastal dynamics. This paper provides an overview of these major advances to measure the main physical parameters for monitoring the coastal, estuarine and delta environments and their evolution, such as the water level and hydrodynamics near the shoreline, water/sediment contact (i.e., shoreline), shoreline position, topography, bathymetry, vertical land motion, bio-physical characteristics of sediments, water content, suspended sediment, vegetation, and land use and land cover.
Challenges and strategies for the internationalization of higher education in low-income East African countries
Authors: Moshtari Mohammad , Safarpour Alireza
Published: January 2023

As it becomes more crucial to push the boundaries of science to develop new technologies and important global initiatives, internationalization can be instrumental in helping underdeveloped countries overcome challenges such as poverty, climate change, and educational inequalities. Higher education institutions have always faced challenges in the process of internationalization, which have occupied scholarly attention in recent decades, but little research has been conducted on the internationalization of higher education in less developed African countries. This qualitative study aims to shed light on the challenges of internationalization of higher education in low-income countries in East Africa. After reviewing the literature and interviewing academics, the obtained data were thematically analyzed. The results suggested 12 main challenges, which were classified into four major categories. The challenges include a lack of clear policies and guidelines; the inefficiency of the organizational structure of internationalization; financial, infrastructure, and equipment problems; weaknesses in scientific, skill, and language competences; cultural differences; non-reciprocal relationships; and a brain drain. Finally, strategies for responding to these challenges with regard to the internal and external environments of higher education institutions were proposed. Among the internal strategies of higher education institutions are the development of clear policies and visions, planning for the development of human resources, and sustainable budgeting for internationalization programs. External strategies emphasize the development of national policies and laws based on contextual and environmental conditions, as well as interaction and participation in international meetings to expand communication and use the scientific and economic capacities of international agencies and institutions.
The Methodological Quality and Intervention Fidelity of Randomised Controlled Trials Evaluating Social Skills Group Programs in Autistic Adolescents: A Systematic Review and Meta-analysis
Authors: Afsharnejad Bahareh , Black Melissa H. , Falkmer Marita , Bölte Sven , Girdler Sonya
Published: January 2023

A systematic review and meta-analysis were utilised to explore the methodological quality, program fidelity, and efficacy of social skills group programs (SSGPs) aiming to support autistic adolescents in navigating their everyday social worlds. The study evaluated the methodological quality and theoretical fidelity of studies, with a random effect meta-analysis conducted to summarise the overall efficacy of SSGP and its effect on social communication and interaction, behavioural/emotional challenges, adaptive functioning, and autism characteristics. Although findings from the 18 identified studies indicated an adjusted medium overall effect with these programs successfully supporting autistic adolescents’ socialisation needs (g = 0. 60, p < 0.001), most studies demonstrated medium to low program fidelity despite their good methodological quality. Given the significant heterogeneity of SSGPs and variations in the design and measurement frameworks of efficacy studies, understanding the generalisability of the findings of this research is unclear.
Task allocation model for human-robot collaboration with variable cobot speed
Authors: Faccio Maurizio , Granata Irene , Minto Riccardo
Published: January 2023

New technologies, such as collaborative robots, are an option to improve productivity and flexibility in assembly systems. Task allocation is fundamental to properly assign the available resources. However, safety is usually not considered in the task allocation for assembly systems, even if it is fundamental to ensure the safety of human operator when he/she is working with the cobot. Hence, a model that considers safety as a constraint is here presented, with the aim to both maximize the productivity in a collaborative workcell and to promote a secure human robot collaboration. Indexes that consider both process and product characteristics are considered to evaluate the quality of the proposed model, which is also compared with one without the safety constraint. The results confirm the validity and necessity of the newly proposed method, which ensures the safety of the operator while improving the performance of the system.
Dislocation-based high-temperature plasticity of polycrystalline perovskite SrTiO3
Authors: Porz Lukas , Scherer Michael , Höfling Marion , Nakamura Atsutomo , Rheinheimer Wolfgang , Rödel Jürgen
Published: January 2023

Dislocation networks have been demonstrated to substantially enhance functional properties. As-sintered samples are virtually devoid of dislocations, new innovative techniques for introducing sufficiently high dislocation densities into polycrystalline ceramics are needed. While dislocation-based plasticity at high temperatures has been demonstrated for a large range of ceramic single crystals, plasticity in polycrystals is much less understood. Here, we demonstrate plastic strains in excess of several % based on dislocation motion in polycrystalline SrTiO3 at ≈ 1100 °C with 3.9 µm grain size. Ultra-high voltage electron microscopy reveals an associated increase in dislocation density by three orders of magnitude. Achievable strain rates are comparable to creep-based mechanisms and much less sensitive to applied stress than observed for metals. A specialized testing protocol allows quantification of the deformability via stress exponent, activation volume and activation enthalpy giving additional quantification. In conjunction with TEM images, the mechanical data gives insight into the underlying mechanisms.
Well-Posedness Properties for a Stochastic Rotating Shallow Water Model
Authors: Crisan Dan , Lang Oana
Published: January 2023

In this paper, we study the well-posedness properties of a stochastic rotating shallow water system. An inviscid version of this model has first been derived in Holm (Proc R Soc A 471:20140963, 2015) and the noise is chosen according to the Stochastic Advection by Lie Transport theory presented in Holm (Proc R Soc A 471:20140963, 2015). The system is perturbed by noise modulated by a function that is not Lipschitz in the norm where the well-posedness is sought. We show that the system admits a unique maximal solution which depends continuously on the initial condition. We also show that the interval of existence is strictly positive and the solution is global with positive probability.
Conditional Lipschitz Shadowing for Ordinary Differential Equations
Authors: Backes Lucas , Dragičević Davor , Onitsuka Masakazu , Pituk Mihály
Published: January 2023

We introduce the notion of conditional Lipschitz shadowing, which does not aim to shadow every pseudo-orbit, but only those which belong to a certain prescribed set. We establish two types of sufficient conditions under which certain nonautonomous ordinary differential equations have such a property. The first criterion applies to a semilinear differential equation provided that its linear part is hyperbolic and the nonlinearity is small in a neighborhood of the prescribed set. The second criterion requires that the logarithmic norm of the derivative of the right-hand side with respect to the state variable is uniformly negative in a neighborhood of the prescribed set. The results are applicable to important classes of model equations including the logistic equation, whose conditional shadowing has recently been studied. Several examples are constructed showing that the obtained conditions are optimal.
The Helping Networks of Transgender Women Living with HIV
Authors: Hill Miranda , Sevelius Jae , Sherman Athena D. F. , Balthazar Monique , Klepper Meredith , Radix Asa , Rebchook Greg , Hansen Nathan
Published: January 2023

Transgender women living with HIV face significant barriers to healthcare that may be best addressed through community-centered interventions holistically focused on their HIV-related, gender-related, and other important needs. Community health ambassador (CHA) interventions (education and training programs designed to engage communities and community leaders in health promotion) may be an effective option, though information about the natural helping networks of this vulnerable population is too limited to inform the implementation of this approach. This study uses social network analysis to describe the natural helping networks of transgender women living with HIV, their help-seeking patterns for HIV-related, gender-related, and ancillary resources, and the characteristics of potential network ambassadors. From February to August 2019, transgender women living with HIV in the US (N = 231) participated a 30-min online survey asking them to describe their natural helping networks (N = 1054). On average, participants were embedded within natural helping networks consisting of 4–5 people. They were more likely to seek help from informal network members vs. formal service providers (p < .01), and from chosen family and partners/spouses (p < .05) above other social connections. Older network members (p < .01), other transgender women (p < .05), and those with whom they regularly engaged face-to-face (p < .01) (vs. social technology) were identified as potential network ambassadors for HIV-, gender-related, and other important issues. These findings suggest an opportunity to develop CHA interventions that leverage existing help networks and potential network ambassadors to promote equitable access to HIV, gender-affirming, and other crucial resources among this medically underserved group.
SECAP Switch—Defeating Topology Poisoning Attacks Using P4 Data Planes
Authors: Smyth Dylan , Scott-Hayward Sandra , Cionca Victor , McSweeney Sean , O’Shea Donna
Published: January 2023

Programmable networking is evolving from programmable control plane solutions such as OpenFlow-based software-defined networking (SDN) to programmable data planes such as P4-based SDN. To support the functionality of the SDN, the correct view of the network topology is required. However, multiple attacks aimed at topology poisoning have been demonstrated in SDNs. While several controller-centralised security solutions have been proposed to defeat topology poisoning attacks, some attacks e.g., the Data Plane ARP Cache Poisoning Attack and the relay-type Link Fabrication Attack are difficult to detect using a fully centralised security solution. In this paper, we present the Security-Aware Programmable (SECAP) Switch—a lightweight, in-network, P4-based security solution that is designed to prevent attacks that might otherwise evade control plane solutions. The SECAP switch verifies source address details contained within the headers of protocols commonly used to perform topology poisoning attacks. This function is supported by a novel variance-based anomaly detection solution to provide a layered defence. We demonstrate the ability of the SECAP switch to defeat topology poisoning attacks with minimal memory and processing overhead.
Efficient learning of large sets of locally optimal classification rules
Authors: Huynh Van Quoc Phuong , Fürnkranz Johannes , Beck Florian
Published: January 2023

Conventional rule learning algorithms aim at finding a set of simple rules, where each rule covers as many examples as possible. In this paper, we argue that the rules found in this way may not be the optimal explanations for each of the examples they cover. Instead, we propose an efficient algorithm that aims at finding the best rule covering each training example in a greedy optimization consisting of one specialization and one generalization loop. These locally optimal rules are collected and then filtered for a final rule set, which is much larger than the sets learned by conventional rule learning algorithms. A new example is classified by selecting the best among the rules that cover this example. In our experiments on small to very large datasets, the approach’s average classification accuracy is higher than that of state-of-the-art rule learning algorithms. Moreover, the algorithm is highly efficient and can inherently be processed in parallel without affecting the learned rule set and so the classification accuracy. We thus believe that it closes an important gap for large-scale classification rule induction.
The ‘Double Fuzzy Set’ Approach to Multidimensional Poverty Measurement: With a Focus on the Health Dimension
Authors: Handastya Nita , Betti Gianni
Published: January 2023

In more recent times, there is an increasing consensus in the field of development study to view poverty as a multidimensional deprivation beyond the more commonly used monetary perspective. Although the multidimensional poverty measurement is gaining more acceptance among policy makers, it is still based on the clear distinction between the poor and non-poor through an arbitrary threshold. One alternative to this shortcoming is offered by a multidimensional poverty measurement with a fuzzy-set approach in which it is possible to recognize deprivations as a matter of degree. The integrated fuzzy approach allows this possibility, although there is an unexplored opportunity of recognising that two or more dimensions can be attributed to a single item or attribute. This paper aims to contribute to this strand of research by introducing a ‘Double-Fuzzy’ approach. The methodology is applied to Tunisia using the Tunisian National Survey on Household Budget and Consumption (HBS) 2015.
Surface Exospheric Interactions
Authors: Teolis Ben , Sarantos Menelaos , Schorghofer Norbert , Jones Brant , Grava Cesare , Mura Alessandro , Prem Parvathy , Greenhagen Ben , Capria Maria Teresa , Cremonese Gabriele , Lucchetti Alice , Galluzzi Valentina
Published: January 2023

Gas-surface interactions at the Moon, Mercury and other massive planetary bodies constitute, alongside production and escape, an essential element of the physics of their gravitationally bound exospheres. From condensation and accumulation of exospheric species onto the surface in response to diurnal and seasonal changes of surface temperature, to thermal accommodation, diffusion and ultimate escape of these species from the regolith back into space, surface-interactions have a drastic impact on exospheric composition, structure and dynamics. The study of this interaction at planetary bodies combines exospheric modeling and observations with a consideration of fundamental physics and laboratory experimentation in surface science. With a growing body of earth-based and spacecraft observational data, and a renewed focus on lunar missions and exploration, the connection between the exospheres and surfaces of planetary bodies is an area of active and growing research, with advances being made on problems such as topographical and epiregolith thermal effects on volatile cold trapping, among others. In this paper we review current understanding, latest developments, outstanding issues and future directions on the topic of exosphere-surface interactions at the Moon, Mercury and elsewhere.
Performance–energy trade-offs of deep learning convolution algorithms on ARM processors
Authors: Dolz Manuel F. , Barrachina Sergio , Martínez Héctor , Castelló Adrián , Maciá Antonio , Fabregat Germán , Tomás Andrés E.
Published: January 2023

In this work, we assess the performance and energy efficiency of high-performance codes for the convolution operator, based on the direct, explicit/implicit lowering and Winograd algorithms used for deep learning (DL) inference on a series of ARM-based processor architectures. Specifically, we evaluate the NVIDIA Denver2 and Carmel processors, as well as the ARM Cortex-A57 and Cortex-A78AE CPUs as part of a recent set of NVIDIA Jetson platforms. The performance–energy evaluation is carried out using the ResNet-50 v1.5 convolutional neural network (CNN) on varying configurations of convolution algorithms, number of threads/cores, and operating frequencies on the tested processor cores. The results demonstrate that the best throughput is obtained on all platforms with the Winograd convolution operator running on all the cores at their highest frequency. However, if the goal is to reduce the energy footprint, there is no rule of thumb for the optimal configuration.
Space–time analysis of the earth's surface temperature, surface urban heat island and urban hotspot: relationships with variation of the thermal field in Andalusia (Spain)
Authors: García David Hidalgo , Díaz Julián Arco
Published: January 2023

Understanding just how the increase in the Earth's Surface Temperature (LST) is related to alterations of the urban climate —Surface Urban Heat Island (SUHI) or Urban Hotspots (UHS)— and with the deterioration of cities´ environmental quality has become a great challenge. Societies worldwide seek actions that might break these trends and improve the quality of life of local inhabitants in the face of climate change. In this research, and with the help of Sentinel 3 satellite images (day and night), the space–time variability of the LST and the SUHI over the metropolitan areas of the capitals of Andalusia (Spain) during the year 2021 was studied to evaluate how these variables, together with the Land Use/Land Cover (LULC), may have influenced the variability of the UHS and the level of thermal comfort according to the Thermal Field Variance Index (UTFVI). As results, an important spatial variability of the LST, SUHI, UHS, and the different classes of UTFVI is reported. The diurnal UHS are found mainly in rural areas without vegetation, whereas the night UHS are distributed in urban areas with impervious surfaces.
Use of topical and temporal profiles and their hybridisation for content-based recommendation
Authors: de Campos Luis M. , Fernández-Luna Juan M. , Huete Juan F.
Published: January 2023

In the context of content-based recommender systems, the aim of this paper is to determine how better profiles can be built and how these affect the recommendation process based on the incorporation of temporality, i.e. the inclusion of time in the recommendation process, and topicality, i.e. the representation of texts associated with users and items using topics and their combination. To that end, we build both topically and temporally homogeneous subprofiles to represent items. The main contribution of the paper is to present two different ways of hybridising these two dimensions and to evaluate and compare them with other alternatives. Our proposals and experiments are carried out in the specific context of publication venue recommendation.
Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework
Authors: Hartman Emmanuel , Sukurdeep Yashil , Klassen Eric , Charon Nicolas , Bauer Martin
Published: January 2023

This paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order Sobolev metrics. More specifically, we address the computation of geodesics and geodesic distances between parametrized or unparametrized immersed surfaces represented as 3D meshes. Building on this, we develop tools for the statistical shape analysis of sets of surfaces, including methods for estimating Karcher means and performing tangent PCA on shape populations, and for computing parallel transport along paths of surfaces. Our proposed approach fundamentally relies on a relaxed variational formulation for the geodesic matching problem via the use of varifold fidelity terms, which enable us to enforce reparametrization independence when computing geodesics between unparametrized surfaces, while also yielding versatile algorithms that allow us to compare surfaces with varying sampling or mesh structures. Importantly, we demonstrate how our relaxed variational framework can be extended to tackle partially observed data. The different benefits of our numerical pipeline are illustrated over various examples, synthetic and real.
Properties, Collections, and the Successive Addition Argument: A Reply to Malpass
Authors: Dagher Ibrahim
Published: January 2023

The Successive Addition Argument (SAA) is one of the key arguments espoused by William Lane Craig for the thesis that the universe began to exist. Recently, Malpass, Mind, 131(523), 786–804 (2021) has developed a challenge to the SAA by way of constructing a counterexample that originates in the work of Fred Dretske. In this paper, I show that the Malpass-Dretske counterexample is in fact no counterexample to the argument. Utilizing a distinction between properties of members and properties of collections, I argue that Malpass’ counterexample has no bearing on the soundness of the SAA. I also develop a novel parity argument against Malpass’ argument that I demonstrate can only be resolved by way of the aforementioned analysis.
Possibility to apply unified methodology in vibration analysis for long lasting and impulse sources, in terms of influence on people in buildings
Authors: Duda Józef
Published: January 2023

The present work addresses the problem of unified methodology use for vibration analysis caused by various anthropogenic sources. The experimental part of the paper contains analysis and results comparison of the vibration, induced by freight train passages and hammer percussion. Ground vibrations are important for the civil engineering objects condition since the vibration induced by train is transmitted through the ground to the foundation and structure. Ground vibration can also be a source of disturbance for the residents. However, various factors cause vibration that varies in both intensity and frequency measures. The analysis of vibration timelines, running RMS and Fourier spectra are applied. The major part of the dissertation is the analysis of RMS accelerations and velocities in one-third octave frequency bands in 1 to 80 Hz spectrum, and comparison to the background vibration noise, recorded in the same localisation. The different values of time-window observation are applied to analyse the results. The results of long lasting cargo-induced vibrations are less dependent on time-window duration than the results of impulse-induced vibrations. The acceleration and velocity analysis results are compared to the literature data concerning the ground vibration caused by railway transport and mining activity. The paper indicates the possibility to apply unified methodology for vibration analysis caused by both long-lasting sources, as trains and short-lasting ones, as industrial blasts or mine tremors. The results indicate an optimal time window for vibration measurement that would enable to automate vibration monitoring.
A numerical framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain reduction methods
Authors: Yang Yusheng , Yu Haitao , Yuan Yong , Lu Dechun , Huang Qiangbing
Published: January 2023

A numerical framework was proposed for the seismic analysis of underground structures in layered ground under inclined P-SV waves. The free-field responses are first obtained using the stiffness matrix method based on plane-wave assumptions. Then, the domain reduction method was employed to reproduce the wavefield in the numerical model of the soil–structure system. The proposed numerical framework was verified by providing comparisons with analytical solutions for cases involving free-field responses of homogeneous ground, layered ground, and pressure-dependent heterogeneous ground, as well as for an example of a soil–structure interaction simulation. Compared with the viscous and viscous-spring boundary methods adopted in previous studies, the proposed framework exhibits the advantage of incorporating oblique incident waves in a nonlinear heterogeneous ground. Numerical results show that SV-waves are more destructive to underground structures than P-waves, and the responses of underground structures are significantly affected by the incident angles.
The $$\mathcal {F}$$-Resolvent Equation and Riesz Projectors for the $$\mathcal {F}$$-Functional Calculus
Authors: Colombo Fabrizio , De Martino Antonino , Sabadini Irene
Published: January 2023

The Fueter-Sce-Qian mapping theorem gives a constructive way to extend holomorphic functions of one complex variable to slice hyperholomorphic functions. By means of the Cauchy formula for slice hyperholomorphic functions it is possible to have a Fueter-Sce-Qian mapping theorem in integral form for n odd. On this theorem it is based the $$ \mathcal {F}$$
F
-functional calculus for n-tuples of commuting operators. It is a functional calculus based on the commutative version of the S spectrum. Furthermore, it is a monogenic functional calculus in the spirit of McIntosh and collaborators. In this paper, inspired by the quaternionic case and some particular Clifford algebras cases, we show a general resolvent equation for the $$ \mathcal {F}$$
F
-functional calculus in the Clifford algebra setting. Moreover, we prove that the $$ \mathcal {F}$$
F
-resolvent equation is the suitable equation to study the Riesz projectors.