bluuebunny/crossref_metadata_2025_split huggingface dataset:
Duality and stacking of bosonic and fermionic SPT phases
Authors: Turzillo Alex , You Minyoung 
Published: October 2024

Abstract
We study the interplay of duality and stacking of bosonic and fermionic symmetry-protected topological phases in one spatial dimension. In general the classifications of bosonic and fermionic phases have different group structures under the operation of stacking, but we argue that they are often isomorphic and give an explicit isomorphism when it exists. This occurs for all unitary symmetry groups and many groups with antiunitary symmetries, which we characterize. We find that this isomorphism is typically not implemented by the Jordan-Wigner transformation, nor is it a consequence of any other duality transformation that falls within the framework of topological holography. Along the way to this conclusion, we recover the fermionic stacking rule in terms of $$ \mathcal{G} $$
G
-pin partition functions, give a gauge-invariant characterization of the twisted group cohomology invariant, and state a procedure for stacking gapped phases in the formalism of symmetry topological field theory.
Cohomologies of tautological bundles of matroids
Authors: Eur Christopher 
Published: October 2024

AbstractTautological bundles of realizations of matroids were introduced in Berget et al. (Invent Math 233:951–1039, 2023) as a unifying geometric model for studying matroids. We compute the cohomologies of exterior and symmetric powers of these vector bundles, and show that they depend only on the matroid of the realization. As an application, we show that the log canonical bundle of a wonderful compactification of a hyperplane arrangement complement, in particular the moduli space of pointed rational curves $$\overline{{M}}_{0,n}$$

M
¯

0
,
n

, has vanishing higher cohomologies.
Corrosion performance of super duplex stainless steel and pipeline steel dissimilar welded joints: a comprehensive investigation for marine structures
Authors: Maurya Anup Kumar , Pandey Shailesh M. , Chhibber Rahul , Fydrych Dariusz , Pandey Chandan 
Published: October 2024

AbstractThis study investigates the corrosion behavior of dissimilar gas tungsten arc (GTA) welded joints between super duplex stainless steel (sDSS 2507) and pipeline steel (X-70) using electrochemical and immersion corrosion tests. The GTA welds were fabricated using ER2594 and ER309L filler metals. The study examined the electrochemical characteristics and continuous corrosion behavior of samples extracted from various zones of the weldments in a 3.5 wt.% NaCl solution, employing electrochemical impedance spectroscopy, potentiodynamic polarization methods, and an immersion corrosion test. EIS and immersion investigations revealed pitting corrosion in the X-70 base metal/X-70 heat-affected zone, indicating inferior overall corrosion resistance due to galvanic coupling. The corrosion byproducts identified in complete immersion comprised α-FeOOH, γ-FeOOH, Fe3O4, and Fe2O3, whereas γ-FeOOH and Fe3O4 were predominant in dry/wet cyclic conditions. Corrosion escalated with dry/wet cycle conditions while maintaining a lower level in complete immersion. The corrosion mechanism involves three wet surface stages in dry/wet cycles and typical oxygen absorption during complete immersion. Proposed corrosion models highlight the influence of Cl−, O2, and rust layers.
A comparison of the renal function biomarkers serum creatinine, pro-enkephalin and cystatin C to predict clearance of pemetrexed
Authors: de Rouw N. , Beunders R. , Hartmann O. , Schulte J. , Boosman R. J. , Derijks H. J. , Burger D. M. , van den Heuvel M. M. , Hilbrands L. B. , Pickkers P. , ter Heine R. 
Published: October 2024

Abstract
Introduction
For drugs with a narrow therapeutic window, there is a delicate balance between efficacy and toxicity, thus it is pivotal to administer the right dose from the first administration onwards. Exposure of pemetrexed, a cytotoxic drug used in lung cancer treatment, is dictated by kidney function. To facilitate optimized dosing of pemetrexed, accurate prediction of drug clearance is pivotal. Therefore, the aim of this study was to investigate the performance of the kidney function biomarkers serum creatinine, cystatin C and pro-enkephalin in terms of predicting the elimination of pemetrexed.

Methods
We performed a population pharmacokinetic analysis using a dataset from two clinical trials containing pharmacokinetic data of pemetrexed and measurements of all three biomarkers. A three-compartment model without covariates was fitted to the data and the obtained individual empirical Bayes estimates for pemetrexed clearance were considered the “true” values (Cltrue). Subsequently, the following algorithms were tested as covariates for pemetrexed clearance: the Chronic Kidney Disease Epidemiology Collaboration equation using creatinine (CKD-EPICR), cystatin C (CKD-EPICYS), a combination of both (CKD-EPICR-CYS), pro-enkephalin as an absolute value or in a combined algorithm with age and serum creatinine, and lastly, a combination of pro-enkephalin with cystatin C.

Results
The dataset consisted of 66 subjects with paired observations for all three kidney function biomarkers. Inclusion of CKD-EPICR-CYS as a covariate on pemetrexed clearance resulted in the best model fit, with the largest decrease in objective function (p < 0.00001) and explaining 35% of the total inter-individual variability in clearance. The predictive performance of the model to containing CKD-EPICR-CYS to predict pemetrexed clearance was good with a normalized root mean squared error and mean prediction error of 19.9% and 1.2%, respectively.

Conclusions
In conclusion, this study showed that the combined CKD-EPICR-CYS performs best in terms predicting pharmacokinetics of pemetrexed. Despite the hypothesized disadvantages, creatinine remains to be a suitable and readily available marker to predict pemetrexed clearance in clinical practice.
Exploration of physical, structural, thermal, and optical properties of alkali zinc boro tellurite glasses doped with europium trioxide
Authors: Gowda G. V. Jagadeesha , Deka Utpal , Dahshan A. , Reddy G. V. Ashok , Eraiah B. , Gedam R. S. , Keshavamurthy K. , Devaraja C. 
Published: October 2024

AbstractIn this present work we have studied the physical, structural, thermal, and optical properties of a new set of alkali zinc boro tellurite glasses doped europium trioxide prepared using the melt-quenching method. X-ray diffraction technique (XRD) and SEM were used to determine the non-crystalline property and microstructure property of the prepared samples. By using MAS-NMR spectroscopy and FTIR spectroscopy, the structural changes in the glasses were revealed. The physical properties were described by considering the densities of glass samples and hence molar volume, polaron radius, and oxygen packing density were measured. Thermal stability of glasses was perceived by performing DSC analysis and values ranges from 145 to 190 °C. Using UV–visible absorption spectra, it was possible to calculate the optical properties. The highest refractive index is found as 2.275 for glass AZBTE0 and the lowest is 2.241 for AZBTE5 glass. The ionic behaviour of the glasses was determined by electronegativity and values lie in the range of 1.51 to 1.688. The outcomes of the physical, thermal, and optical characteristics of glasses are intended for potential uses in optical switching and Europium doped fibre amplifier applications.
Facilitators and barriers of long-term exercise adherence in healthcare workers formerly suffering from post-COVID-19 syndrome
Authors: Hasenöhrl Timothy , Scharer Beate , Steiner Margarete , Schmeckenbecher Jim , Jordakieva Galateja , Crevenna Richard 
Published: October 2024

Summary
Background
Early exercise intervention studies showed promising positive effects of physical exercising on post-COVID-19 symptoms; however, little is known about long-term training adherence and what influences it.

Material and methods
Semi-structured interviews were conducted with 17 participants of the 8‑week original exercise intervention study. Facilitators and barriers were identified via thematic analysis and compared between those participants who continued their regular exercise behavior (continuous exercise group, CEG, n = 7) and those who stopped exercising (discontinuous exercise group, DEG, n = 10). Physical performance parameters and questionnaires regarding psychological health dimensions and work ability were assessed analogously to the original study.

Results
Qualitative analysis showed that two of the top three facilitators, (improving physical and mental health, sport has high priority) were the same in both groups. The respective third of the top three facilitators was (re)build physical and cognitive performance in the CEG and training in the group in the DEG. The top three barriers (exhaustion, sport has little priority, procrastination) were not only the same in both groups but also in the same order.

Conclusion
The strongest post-COVID-19 associated facilitator for long-term exercise adherence is when the need for further reconditioning is felt. The strongest post-COVID-19 associated barrier is exhaustion. Availability of exercising in a group is a key factor in increasing long-term exercise adherence.
Continuum modeling of gas–particle flows: an overview
Authors: Schneiderbauer Simon 
Published: October 2024

AbstractIn this review paper, we provide a brief overview of the recent advances in the continuum modeling of gas–particle flows. First, we focus on the kinetic theory-based two-fluid models, which have become a valuable tool to investigate small-scale moderately dense turbulent gas–particle flows. Second, the continuum description is quite restrictive with respect to the maximum grid spacing, and large-scale simulations usually employ coarse mesh resolutions to keep the analyses practicable. Such coarse-graining inevitably neglects the small unresolved scales, which requires additional modeling. Here, filtered two-fluid models have been applied successfully to a variety gas–solid flow problems. Finally, we give a condensed outline about future research challenges for the continuum modeling of gas–particle flows.
Ubiquitin-like and ubiquitinylated proteins associated with the maternal cell walls of Scenedesmus obliquus 633 as identified by immunochemistry and LC–MS/MS proteomics
Authors: Kowalczyk Justyna , Kłodawska Kinga , Zych Maria , Burczyk Jan , Malec Przemysław 
Published: October 2024

Abstract
The cell walls of green algae Scenedesmus obliquus are complex, polymeric structures including an inner cellulose layer surrounded by an algaenan-containing trilaminar sheath. The process of autosporulation leads to the formation of sporangial (maternal) cell walls, which are released into the medium after sporangial autolysis. In this study, a fraction of maternal cell wall material (CWM) was isolated from the stationary phase cultures of Scenedesmus obliquus 633 and subjected to immunofluorescence microscopy using polyclonal anti-ubiquitin antibodies. The water-extracted polypeptide fraction from the maternal cell walls was then analyzed using immunoblotting and LC–MS/MS. An immunoanalysis showed the presence of several peptides reactive with polyclonal anti-ubiquitin serum, with apparent molecular masses of c. 12, 70, 120, 200, and > 250 kDa. Cell wall–associated peptides were identified on the basis of LC–MS/MS spectra across NCBI databases, including the Scenedesmaceae family (58 records), the Chlorophyceae class (37 records), and Chlamydomonas reinhardtii (18 records) corresponding to the signatures of 95 identified proteins. In particular, three signatures identified ubiquitin and ubiquitin-related proteins. In the maternal cell walls, immunoblotting analysis, immunofluorescence microscopy, and LC–MS/MS proteomics collectively demonstrated the presence of ubiquitin-like epitopes, ubiquitin-specific peptide signatures, and several putative ubiquitin conjugates of a higher molecular mass. These results support the presence of ubiquitin-like proteins in the extramembranous compartment of Scenedesmus obliquus 633 and suggest that protein ubiquitination plays a significant role in the formation and functional integrity of the maternal cell walls in green algae.
Spiking neural networks-based generation of caterpillar-like soft robot crawling motions
Authors: Yoshioka SeanKein , Iwata Takahiro , Maruyama Yuki , Miki Daisuke 
Published: October 2024

AbstractRobots have been widely used in daily life in recent years. Unlike conventional robots made of rigid materials, soft robots utilize stretchable and flexible materials, allowing flexible movements similar to those of living organisms, which are difficult for traditional robots. Previous studies have used periodic signals to control soft robots, which lead to repetitive motions and make it challenging to generate environment-adapted motions. To address this issue, control methods can be learned through deep reinforcement learning to enable soft robots to select appropriate actions based on observations, improving their adaptability to environmental changes. In addition, as mobile robots have limited onboard resources, it is necessary to conserve battery consumption and achieve low-power control. Therefore, the use of spiking neural networks (SNNs) with neuromorphic chips enables low-power control of soft robots. In this study, we investigated the learning methods for SNNs aimed at controlling soft robots. Experiments were conducted using a caterpillar-like soft robot model based on previous studies, and the effectiveness of the learning method was evaluated.
Seizure forecasting based on AI-supported analysis of multidien and circadian cycles in EEG and non-EEG long-term datasets
Authors: Miron Gadi , Meisel Christian 
Published: October 2024

AbstractLong-term datasets in epilepsy encompassing weeks to months of continuous physiological signal recordings along with novel data analysis techniques have recently advanced the understanding of epilepsy in several aspects. Patterns of seizures, interictal discharges, and autonomous nervous system activity were observed to often exhibit long, multidien cycles that are often correlated with each other. These observations have provided the basis for new approaches to forecast seizure risk from electroencephalographic (EEG) and non-EEG data.
Understanding health risk perception: insights from an eight-country panel study during the COVID-19 pandemic
Authors: Röpcke Annabelle , Brinkmann Carolin , Neumann-Böhme Sebastian , Sabat Iryna , Barros Pedro Pita , Schreyögg Jonas , Torbica Aleksandra , Brouwer Werner , Hajek André , Stargardt Tom 
Published: October 2024

Abstract
Aim
The COVID-19 pandemic highlighted the importance of individuals’ risk perceptions and their impact on behaviour. Adequate risk perceptions help individuals adopt necessary precautions.

Subject and methods
We conducted a longitudinal panel study analysing data across eight European countries from the European COVID Survey (ECOS). We used two generalised linear models with ordered logistic regression to analyse panel data comprising 82,052 observations from 11 waves of ECOS. Our aim was to investigate self-reported risk perception related to COVID-19 and its association with socioeconomic factors, health indicators, personal experiences with COVID-19 and trust in risk communication. We examined perceived susceptibility to SAR-CoV-2 infection and perceived risk to one’s own health from COVID-19, interpreting these as dimensions of risk perception in accordance with the health belief model.

Results
Women perceived higher susceptibility to SARS-CoV-2 infection than men. Regardless of gender, perceived susceptibility increased with age, peaking in the 35–44 age group before declining. In contrast, perceived risk to health consistently rose with age. Individuals who did not experience financial difficulties during the pandemic perceived lower health risk than those who did experience such difficulties. Moreover, individuals with higher education levels perceived greater susceptibility than those with lower levels. Other influencing factors included SARS-CoV-2 vaccination status, trust in information, attention to COVID-19 news and pandemic phase.

Conclusion
Several socio-economic factors were associated with risk perceptions. Unvaccinated individuals, people with lower education levels and individuals with less trust in institutional information were more likely to underestimate their susceptibility to SARS-CoV-2 infection and their health risk due to COVID-19.
Effect of primary copper metabolism disturbance on elemental, protein, and lipid composition of the organs in Jackson toxic milk mouse
Authors: Hadrian Krzysztof , Szczerbowska-Boruchowska Magdalena , Surówka Artur , Ciepiela Olga , Litwin Tomasz , Przybyłkowski Adam 
Published: October 2024

Abstract
Toxic milk (txJ) is an autosomal recessive mutation in the Atp7b gene in the C3H/HeJ strain, observed at The Jackson Laboratory in Maine, USA. TxJ mice exhibit symptoms similar to those of human Wilson’s disease (WD). The study aimed to verify organ involvement in a mouse model of WD. TxJ mice and control animals were sacrificed at 2, 4, 8, and 14 months of age. Total X-ray Fluorescence Spectroscopy (TXRF) was used to determine the elemental concentration in organs. Tissue chemical composition was measured by Fourier Transform Infrared Spectroscopy (FTIR). Additionally, hybrid mapping of FTIR and microXRF was performed. Elevated concentrations of Cu were observed in the liver, striatum, eye, heart, and duodenum of txJ mice across age groups. In the striatum of the oldest txJ mice, there was lower lipid content and a higher fraction of saturated fats. The secondary structure of striatum proteins was disturbed in txJ mice. In the livers of txJ mice, higher concentrations of saturated fats and disturbances in the secondary structure of proteins were observed. The concentration of neurofilaments was significantly higher in txJ serum. The distribution of Cu deposits in brains was uniform with no prevalence in any anatomic structure in either group, but significant protein structure changes were observed exclusively in the striatum of txJ. In this txJ animal model of WD, pathologic copper accumulation occurs in the duodenum, heart, and eye tissues. Increased copper concentration in the liver and brain results in increased saturated fat content and disturbances in secondary protein structure, leading to hepatic injury and neurodegeneration.
Distinct Longitudinal Changes in EEG Measures Reflecting Functional Network Disruption in ALS Cognitive Phenotypes
Authors: Metzger Marjorie , Dukic Stefan , McMackin Roisin , Giglia Eileen , Mitchell Matthew , Bista Saroj , Costello Emmet , Peelo Colm , Tadjine Yasmine , Sirenko Vladyslav , McManus Lara , Buxo Teresa , Fasano Antonio , Chipika Rangariroyashe , Pinto-Grau Marta , Schuster Christina , Heverin Mark , Coffey Amina , Broderick Michael , Iyer Parameswaran M. , Mohr Kieran , Gavin Brighid , Pender Niall , Bede Peter , Muthuraman Muthuraman , Hardiman Orla , Nasseroleslami Bahman 
Published: October 2024

Abstract
Amyotrophic lateral sclerosis (ALS) is characterised primarily by motor system degeneration, with clinical evidence of cognitive and behavioural change in up to 50% of cases. We have shown previously that resting-state EEG captures dysfunction in motor and cognitive networks in ALS. However, the longitudinal development of these dysfunctional patterns, especially in networks linked with cognitive-behavioural functions, remains unclear. Longitudinal studies on non-motor changes in ALS are essential to further develop our understanding of disease progression, improve care and enhance the evaluation of new treatments. To address this gap, we examined 124 ALS individuals with 128-channel resting-state EEG recordings, categorised by cognitive impairment (ALSci, n = 25), behavioural impairment (ALSbi, n = 58), or non-impaired (ALSncbi, n = 53), with 12 participants meeting the criteria for both ALSci and ALSbi. Using linear mixed-effects models, we characterised the general and phenotype-specific longitudinal changes in brain network, and their association with cognitive performance, behaviour changes, fine motor symptoms, and survival. Our findings revealed a significant decline in
$$\:\theta\:$$
-band spectral power over time in the temporal region along with increased
$$\:{\gamma\:}_{l}$$
-band power in the fronto-temporal region in the ALS group. ALSncbi participants showed widespread β-band synchrony decrease, while ALSci participants exhibited increased co-modulation correlated with verbal fluency decline. Longitudinal network-level changes were specific of ALS subgroups and correlated with motor, cognitive, and behavioural decline, as well as with survival. Spectral EEG measures can longitudinally track abnormal network patterns, serving as a candidate stratification tool for clinical trials and personalised treatments in ALS.
Music Familiarization Elicits Functional Connectivity Between Right Frontal/Temporal and Parietal Areas in the Theta and Alpha Bands
Authors: Malekmohammadi Alireza , Cheng Gordon 
Published: October 2024

Abstract
Frequent listening to unfamiliar music excerpts forms functional connectivity in the brain as music becomes familiar and memorable. However, where these connections spectrally arise in the cerebral cortex during music familiarization has yet to be determined. This study investigates electrophysiological changes in phase-based functional connectivity recorded with electroencephalography (EEG) from twenty participants’ brains during thrice passive listening to initially unknown classical music excerpts. Functional connectivity is evaluated based on measuring phase synchronization between all pairwise combinations of EEG electrodes across all repetitions via repeated measures ANOVA and between every two repetitions of listening to unknown music with the weighted phase lag index (WPLI) method in different frequency bands. The results indicate an increased phase synchronization during gradual short-term familiarization between the right frontal and the right parietal areas in the theta and alpha bands. In addition, the increased phase synchronization is discovered between the right temporal areas and the right parietal areas at the theta band during gradual music familiarization. Overall, this study explores the short-term music familiarization effects on neural responses by revealing that repetitions form phasic coupling in the theta and alpha bands in the right hemisphere during passive listening.