bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting the baryon asymmetry with degenerate right-handed neutrinos
Authors: Sandner S. , Hernández P. , López-Pavón J. , Rius N. 
Published: November 2023

Abstract
We consider the generation of a baryon asymmetry in an extension of the Standard Model with two singlet Majorana fermions that are degenerate above the electroweak phase transition. The model can explain neutrino masses as well as the observed matter-antimatter asymmetry, for masses of the heavy singlets below the electroweak scale. The only physical CP violating phases in the model are those in the PMNS mixing matrix, i.e. the Dirac phase and a Majorana phase that enter light neutrino observables. We present an accurate analytic approximation for the baryon asymmetry in terms of CP flavour invariants, and derive the correlations with neutrino observables. We demonstrate that the measurement of CP violation in neutrino oscillations as well as the mixings of the heavy neutral leptons with the electron, muon and tau flavours suffice to pin down the matter-antimatter asymmetry from laboratory measurements.
The development of suicide risk in people with severe mental disorders during the first year of the COVID-19 pandemic: a claims-based cohort study
Authors: Engels Alexander , Stein Janine , Riedel-Heller Steffi G. , Konnopka Claudia , König Hans-Helmut 
Published: November 2023

Abstract
Purpose
In this study, we assess how the first and second waves of the COVID-19 pandemic influenced the suicide risk of patients with severe mental disorders in Germany.

Methods
We analyzed German health insurance claims data to compare the suicide risk of patients with severe mental disorders before and during the pandemic. We included n = 690,845 patients between October 2019 and March 2020 and n = 693,457 patients the corresponding period of the previous year and applied entropy balancing to adjust for confounding covariates. Given that the cause of death was unknown, we defined potential suicides as deaths of patients with a history of intentional self-harm whose passing could not be explained by COVID-19. Potential suicides were tracked in both cohorts over one year and compared using logistic regression.

Results
128 potential suicides were identified in the period during and 101 before the pandemic. This corresponded to a significant increase in the risk for potential suicide of 27.4% compared to the control period (β = 0.24, z = 1.82, p < 0.05).

Conclusion
The noticeable increase in the risk for potential suicide for patients with severe pre-existing mental disorders emphasizes the call for additional efforts to prevent suicide and to help patients cope with their mental illness in the aftermath of the COVID-19 crisis.
Metadata analysis of retracted fake papers in Naunyn-Schmiedeberg’s Archives of Pharmacology
Authors: Wittau Jonathan , Seifert Roland 
Published: November 2023

AbstractAn increasing fake paper problem is a cause for concern in the scientific community. These papers look scientific but contain manipulated data or are completely fictitious. So-called paper mills produce fake papers on a large scale and publish them in the name of people who buy authorship. The aim of this study was to learn more about the characteristics of fake papers at the metadata level. We also investigated whether some of these characteristics could be used to detect fake papers. For that purpose, we examined metadata of 12 fake papers that were retracted by Naunyn-Schmiedeberg’s Archives of Pharmacology (NSAP) in recent years. We also compared many of these metadata with those of a reference group of 733 articles published by NSAP. It turned out that in many characteristics the fake papers we examined did not differ substantially from the other articles. It was only noticeable that the fake papers came almost exclusively from a certain country, used non-institutional email addresses more often than average, and referenced dubious literature significantly more often. However, these three features are only of limited use in identifying fake papers. We were also able to show that fake papers not only contaminate the scientific record while they are unidentified but also continue to do so even after retraction. Our results indicate that fake papers are well made and resemble honest papers even at the metadata level. Because they contaminate the scientific record in the long term and this cannot be fully contained even by their retraction, it is particularly important to identify them before publication. Further research on the topic of fake papers is therefore urgently needed.
A facile method to determine the molar mass of soft nanoparticles
Authors: Schmidt Thomas , Hohenschutz Max , Becker Moritz , Grabowski Frédéric , Jupke Andreas , Pich Andrij , Wöll Dominik 
Published: November 2023

AbstractThe determination of the molar mass of soft nanoparticles is essential to estimate their (molar) concentration in dispersions. Measuring this quantity by conventional methods, however, often proves challenging. We describe a facile approach to determine the molar mass of (soft) nanoparticles via counting their number per volume using a widefield fluorescence microscope. The method is exemplified on a microgel dispersion as a model system, while it is applicable to other types of stainable nanoparticles. For this, covalent labeling or modification of the nanoparticles is not required. The dispersion is simply mixed with a Nile Red solution in a defined ratio and measured in an optical fluorescence microscope accessible to most researchers in the field.
Macro- and micro-structural insights into primary dystonia: a UK Biobank study
Authors: MacIver Claire L. , Bailey Grace , Laguna Pedro Luque , Wadon Megan E. , Schalkamp Ann-Kathrin , Sandor Cynthia , Jones Derek K. , Tax Chantal M. W. , Peall Kathryn J. 
Published: November 2023

Abstract
Background
Dystonia is a hyperkinetic movement disorder with key motor network dysfunction implicated in pathophysiology. The UK Biobank encompasses > 500,000 participants, of whom 42,565 underwent brain MRI scanning. This study applied an optimized pre-processing pipeline, aimed at better accounting for artifact and improving data reliability, to assess for grey and white matter structural MRI changes between individuals diagnosed with primary dystonia and an unaffected control cohort.

Methods
Individuals with dystonia (n = 76) were identified from the UK Biobank using published algorithms, alongside an age- and sex-matched unaffected control cohort (n = 311). Grey matter morphometric and diffusion measures were assessed, together with white matter diffusion tensor and diffusion kurtosis metrics using tractography and tractometry. Post-hoc Neurite Orientation and Density Distribution Imaging (NODDI) was also undertaken for tracts in which significant differences were observed.

Results
Grey matter tremor-specific striatal differences were observed, with higher radial kurtosis. Tractography identified no white matter differences, however segmental tractometry identified localised differences, particularly in the superior cerebellar peduncles and anterior thalamic radiations, including higher fractional anisotropy and lower orientation distribution index in dystonia, compared to controls. Additional tremor-specific changes included lower neurite density index in the anterior thalamic radiations.

Conclusions
Analysis of imaging data from one of the largest dystonia cohorts to date demonstrates microstructural differences in cerebellar and thalamic white matter connections, with architectural differences such as less orientation dispersion potentially being a component of the morphological structural changes implicated in dystonia. Distinct tremor-related imaging features are also implicated in both grey and white matter.
Evaluation of non-thyroidal illness syndrome in shock patients admitted to pediatric intensive care unit in a developing country
Authors: El-Nawawy Ahmed , Elwafa Reham Abdel Haleem Abo , Khalil Abouahmed Ahmed , Rasheed Rehab Atef , Omar Omneya Magdy 
Published: November 2023

AbstractDuring critical illness, children my experience various changes in their thyroid hormone levels. Such changes are termed non-thyroidal illness syndrome (NTI). The extent of change correlates with the severity of the illness and its outcomes in critically ill patients. This study aimed to investigate the correlation between the severity of shock and thyroid hormone derangement. This prospective observational study included forty patients aged one month to five years who were admitted to the pediatric intensive care unit (PICU) with shock. Thyroid function tests were conducted on admission, after shock reversal, and five days later. NTI patterns were observed in 70% of patients. The PIM2 score showed a significant negative correlation with T3 (r =  − 0.353, p = 0.026) and FT3 levels on admission (r =  − 0.417, p = 0.007). Furthermore, after shock reversal, the PIM2 score continued to exhibit significant negative correlations with T4 (r =  − 0.444, p = 0.004), T3 (r =  − 0.329, p = 0.038), FT3 (r =  − 0.355, p = 0.025), and FT4 levels (r =  − 0.379, p = 0.016). Conclusion: This study underscores the high prevalence of NTI in PICU shock patients and suggests monitoring thyroid hormone levels for outcome prediction and treatment guidance. Further research is needed to optimize NTI management in critically ill children.

What is Known:• Non-thyroidal illness syndrome (NTIS) is a condition observed in critically ill patients.• There has been limited research on NTI in children, and existing studies have generated conflicting results regarding the relationship between thyroid hormones and clinical outcomes in cases of sepsis and septic shock.

What is New:• The study has revealed dynamic changes in free triiodothyronine (FT3) levels during the process of shock reversal and recovery in children who experienced shock.• A significant negative correlation was found between the Pediatric Index of Mortality 2 (PIM2) score and several thyroid hormone levels, including FT3 on admission and T4, FT3, and FT4 on shock reversal.
Sex differences in the management and outcome of acute coronary syndrome—Still an issue of equal treatment?
Authors: Mousavi Roya Anahita , Lamm Gudrun , Will Maximilian , Schwarz Konstantin , Mascherbauer Julia 
Published: November 2023

SummarySignificant sex-specific differences were described in the presentation, management and outcome of acute coronary syndrom (ACS) patients. Female ACS patients more often presented with noncardiac symptoms, which lead to significant time delays between symptom onset and treatment. Furthermore, multiple studies from various countries described that women with ACS were less likely to receive the medical or reperfusion therapy recommended by the respective guidelines, resulting in higher in-hospital mortality rates.The treating physicians and the patients need to be more aware of the described differences to ensure the best possible medical care for ACS patients, irrespective of sex.
$$\mathcal {H}$$-inverses for RBF interpolation
Authors: Angleitner Niklas , Faustmann Markus , Melenk Jens Markus 
Published: November 2023

AbstractWe consider the interpolation problem for a class of radial basis functions (RBFs) that includes the classical polyharmonic splines (PHS). We show that the inverse of the system matrix for this interpolation problem can be approximated at an exponential rate in the block rank in the $$\mathcal {H}$$
H
-matrix format, if the block structure of the $$\mathcal {H}$$
H
-matrix arises from a standard clustering algorithm.
The Butzer-Kozakiewicz article on Riemann derivatives of 1954 and its influence
Authors: Butzer P. L. , Stens R. L. 
Published: November 2023

AbstractThe article on Riemann derivatives by P. L. Butzer and W. Kozakiewicz of 1954 was the basis to generalizations of the classical scalar-valued derivatives to Taylor, Peano, and Riemann derivatives in the setting of semigroup theory. The present paper gives an overview of the 1954 article, describes its influence, and integrates it into the literature on related problems. It also describes the state of the mathematics department at McGill University where the article was written.
Evoked EEG Responses to TMS Targeting Regions Outside the Primary Motor Cortex and Their Test–Retest Reliability
Authors: Song Yufei , Gordon Pedro C. , Metsomaa Johanna , Rostami Maryam , Belardinelli Paolo , Ziemann Ulf 
Published: November 2023

AbstractTranscranial magnetic stimulation (TMS)–evoked electroencephalography (EEG) potentials (TEPs) provide unique insights into cortical excitability and connectivity. However, confounding EEG signals from auditory and somatosensory co-stimulation complicate TEP interpretation. Our optimized sham procedure established with TMS of primary motor cortex (Gordon in JAMA 245:118708, 2021) differentiates direct cortical EEG responses to TMS from those caused by peripheral sensory inputs. Using this approach, this study aimed to investigate TEPs and their test–retest reliability when targeting regions outside the primary motor cortex, specifically the left angular gyrus, supplementary motor area, and medial prefrontal cortex. We conducted three identical TMS–EEG sessions one week apart involving 24 healthy participants. In each session, we targeted the three areas separately using a figure-of-eight TMS coil for active TMS, while a second coil away from the head produced auditory input for sham TMS. Masking noise and electric scalp stimulation were applied in both conditions to achieve matched EEG responses to peripheral sensory inputs. High test–retest reliability was observed in both conditions. However, reliability declined for the ‘cleaned’ TEPs, resulting from the subtraction of evoked EEG response to the sham TMS from those to the active, particularly for latencies > 100 ms following the TMS pulse. Significant EEG differences were found between active and sham TMS at latencies < 90 ms for all targeted areas, exhibiting distinct spatiotemporal characteristics specific to each target. In conclusion, our optimized sham procedure effectively reveals EEG responses to direct cortical activation by TMS in brain areas outside primary motor cortex. Moreover, we demonstrate the impact of peripheral sensory inputs on test–retest reliability of TMS-EEG responses.
Effect of solvent and thermal annealing on D18/Y6 polymer solar cells
Authors: Mahdy Shatha , Feteha M. , Soliman M. , Hussien Hadeer , Sadat-Shafai Torfeh , Ebrahim S. 
Published: November 2023

AbstractOrganic solar cells (OSCs) as emerging generation solar cells are required to face climate and energy challenges. In this regard, OSCs based on the D18:Y6 active layer with a ratio of 1:1.6 with thermal and solvent annealing as a post-treatment were fabricated. The effect of different thermal annealing with chloroform on the active layer and the cell performance was studied. Optical, morphological and thermal analysis are executed to investigate the effect of thermal with solvent annealing on the D18:Y6 active layer. Photoluminescence (PL), transmission electron microscope (TEM) and atomic force microscope (AFM) reveal that D18:Y6 film treated at 55 °C with chloroform for 5.0 min had the lowest PL intensity, interpenetrating grain networking structures and more smoother surface leads to optimize photo-induced charge transfer and exciton dissociation in the active layer. D18: Y6 blend film annealed at 80 °C with chloroform for 5.0 min exhibits higher roughness of 17.81 nm than 11.60 nm for D18:Y6 blend film treated at 55 °C. As a result, the optimal performance of the fabricated conventional OSCs based on active layer treated at 55 °C with chloroform had short-current density (Jsc), open circuit voltage (Voc), fill factor (FF) and efficiency of 60 mA/cm2, 0.70V, 39.8% and 16.5%, respectively. This study indicates additional thermal annealing with chloroform as a post-treatment enhances the device performance of OSCs.
Graphical abstract
Studying the effect of solvent vapor annealing with thermal annealing of D18:Y6 layer as
post-treatment on the performance of organic solar cells.
Feature Engineering with Regularity Structures
Authors: Chevyrev Ilya , Gerasimovičs Andris , Weber Hendrik 
Published: November 2023

AbstractWe investigate the use of models from the theory of regularity structures as features in machine learning tasks. A model is a polynomial function of a space–time signal designed to well-approximate solutions to partial differential equations (PDEs), even in low regularity regimes. Models can be seen as natural multi-dimensional generalisations of signatures of paths; our work therefore aims to extend the recent use of signatures in data science beyond the context of time-ordered data. We provide a flexible definition of a model feature vector associated to a space–time signal, along with two algorithms which illustrate ways in which these features can be combined with linear regression. We apply these algorithms in several numerical experiments designed to learn solutions to PDEs with a given forcing and boundary data. Our experiments include semi-linear parabolic and wave equations with forcing, and Burgers’ equation with no forcing. We find an advantage in favour of our algorithms when compared to several alternative methods. Additionally, in the experiment with Burgers’ equation, we find non-trivial predictive power when noise is added to the observations.
Performance prediction in online academic course: a deep learning approach with time series imaging
Authors: Ben Said Ahmed , Abdel-Salam Abdel-Salam G. , Hazaa Khalifa A. 
Published: November 2023

AbstractWith the COVID-19 outbreak, schools and universities have massively adopted online learning to ensure the continuation of the learning process. However, in such setting, instructors lack efficient mechanisms to evaluate the learning gains and get insights about difficulties learners encounter. In this research work, we tackle the problem of predicting learner performance in online learning using a deep learning-based approach. Our proposed solution allows stakeholders involved in the online learning to anticipate the learner outcome ahead of the final assessment hence offering the opportunity for proactive measures to assist the learners. We propose a two-pathway deep learning model to classify learner performance using their interaction during the online sessions in the form of clickstreams. We also propose to transform these time series of clicks into images using the Gramian Angular Field. The learning model makes use of the available extra demographic and assessment information. We evaluate our approach on the Open University Learning Analytics Dataset. Comprehensive comparative study is conducted with evaluation against state-of-art approaches under different experimental settings. We also demonstrate the importance of including extra demographic and assessment data in the prediction process.
Optimization and performance investigation of 1-Toffoli gate quantum full adders for spin-torque-based n-qubit architecture
Authors: Kulkarni Anant , Haghparast Majid , Kaushik Brajesh Kumar 
Published: November 2023

AbstractQuantum computing (QC) is suitable for reversible computing due to its inherent parallel processing ability and fast speed. It also helps to address the issue of high-power dissipation in classical computing. Moreover, QC gates are the sequence of elementary operations such as single-qubit rotation and two-qubit entanglement. Elementary quantum operations are required to be reduced for the realization of complex computing. In this paper, optimization of 1-Toffoli gate-based quantum full adders (QFAs) in terms of the number of elementary operations with the help of quantum library {Ry, Rz, $$\sqrt{\mathrm{SWAP}}$$

SWAP

} is carried out. Moreover, the performance of two different 1-Toffoli QFAs is investigated in terms of execution time, fidelity, and number of electrons required to realize the QFAs. Improvement in fidelity is 0.7% and 0.57% for QFA1 and QFA2, respectively, compared to the fidelity of 2-Toffoli QFA. A 9.97% increase in execution time is mandatory for the QFA2 compared to QFA1. The QFA2 takes 5% more number of electrons in comparison to QFA1.
Processes and events as rigid embodiments
Authors: Baratella Riccardo 
Published: November 2023

AbstractMonists and pluralists disagree concerning how many ordinary objects there are in a single situation. For instance, pluralists argue that a statue and the clay it is made of have different properties, and thereby are different. The standard monist’s response is to hold that there is just a single object, and that, under the description “being a statue”, this object is, e.g., aesthetically valuable, and that, under the description “being a piece of clay”, it is not aesthetically valuable. However, Fine provided an ontological reading of the expression “an object under a description”: the theory of rigid embodiments. The debate between monists and pluralists reduplicates in the domain of ordinary occurrences, like walks and conferences. Specifically, they disagree whether an occurrence in progress (also called “process”) like John’s walk that is happening attnis identical to some completed occurrence (also called “event”) like John’s walk that happened between, e.g.,t1andtn. Under the adoption of the pluralist’s position, the article aims to provide a novel theory of ordinary occurrences that develops the ontological reading of “under a description” to account for occurrences in progress and completed occurrences. As a first result, we formulate a theory according to which both occurrences in progress and completed occurrences are rigid embodiments. As a second result, we argue that the suggested theory is explanatorily powerful to the extent it solves two puzzles that we call “the Puzzle from the Completion of a Process” and “the Metaphysical-cum-Semantical Puzzle”.
Novel prediction and the problem of low-quality accommodation
Authors: Syrjänen Pekka 
Published: November 2023

AbstractThe accommodation of evidence has been argued to be associated with several methodological problems that should prompt evaluators to lower their confidence in the accommodative theory. Accommodators may overfit their model to data (Hitchcock and Sober, Br J Philos Sci 55(1):1–34, 2004. https://doi.org/10.1093/bjps/55.1.1), hunt for (spurious) associations between variables (Mayo, Error and the growth of experimental knowledge. University of Chicago Press, Chicago, 1996, pp 294–318), or ‘fudge’ their theory in the effort to accommodate a particular datum (Lipton, Inference to the best explanation. Routledge, London, 2004, pp. 164–183). The converse of accommodation, novel prediction, has been offered as a solution. If theorists novelly predict empirical results rather than accommodate those results, the potential risks of accommodation are avoided, and the theory warrants greater confidence. This paper evaluates if the problems of accommodation justify a preference for novel prediction over accommodation for evaluators of a scientific theory. I argue that there is currently insufficient evidence to conclude that the problems of accommodation result in a predictivist advantage in theory confirmation. Taking into consideration the disadvantages of novel prediction and the advantages of accommodation, the impact of further evidential factors, and recent scientific evidence about the consequences of novel prediction and accommodation, novel prediction and accommodation appear roughly on a par, or accommodation is even superior in the current context.