bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing UHF RFID tag antennas with Barcode shape for dual‐technology identification
Authors: Zannas Konstantinos , Chietera Francesco P. , Abdelnour Abanob , Kaddour Darine , Colella Riccardo , Catarinucci Luca , Duroc Yvan , Tedjini Smail 
Published: September 2022

AbstractIn this paper, a novel methodology to design Ultra High Frequency Radio‐Frequency IDentification (UHF RFID) tag antennas with Barcode layout is proposed with the challenging goal of “fusing” both technologies in a single device. Specifically, after a brief recall of the well‐known barcode standard, a procedure to design meandered barcode‐shaped UHF RFID tags is introduced and discussed leveraging on electromagnetic evidence. The main steps of the proposed method are described by highlighting the constraints inherited by both the adopted technologies, as well as the useful opportunities to automatise the entire antenna design process after a preliminary simulation campaign through a full‐wave simulator. Different RFID‐Barcode tag antennas are designed, manufactured, and characterised in terms of maximum reading range and tag sensitivity. Obtained results demonstrate the validity of the proposed approach.
Testing the presence of a dormant black hole inside HR 6819
Authors: Romagnolo A. , Olejak A. , Hypki A. , Wiktorowicz G. , Belczynski K. 
Published: September 2022

Context. HR 6819 was recently reported to be a triple system with a non-accreting black hole (BH). The inner binary system was defined as a B3 III type star (a 5 − 7 M⊙ star estimated to be at the end of its main sequence) and a dormant BH (> 4.2 M⊙). The period of the inner binary was estimated to be ∼40 days with an eccentricity in the range 0.02 − 0.04. As the inner binary is not resolved, the third component may actually just be spatially coinciding with the inner binary.
Aims. In this study we test whether the system’s inner binary can be reconstructed using the isolated binary evolution in the Galactic field or through the dynamical evolution within globular star clusters. Our goal is to understand the formation of the HR 6819 inner binary.
Methods. To simulate the inner binary evolution we assumed that the influence of the third body on the inner binary is negligible. We created synthetic populations of BH-main sequence binaries for the Galactic disc and the Galactic globular clusters to compare to the reported parameters of the HR 6819 inner binary. We have adopted very optimistic input physics, in terms of common envelope evolution and BH formation, for the formation of binaries similar to the reported inner HR 6819 binary.
Results. Despite our optimistic assumptions we cannot form systems like the inner HR 6819 binary in globular clusters. Even with our extreme assumptions, the formation of an HR 6819-like binary in the Galactic field population is not expected.
Conclusions. We argue that if a dormant BH actually exists in the reported configuration inside HR 6819, its presence cannot easily be explained by our models based on isolated and dynamical binary evolution.
First Trimester Screening – Current Status and Future Prospects After Introduction of Non-invasive Prenatal Testing (NIPT) at a Tertiary Referral Center
Authors: Walter Adeline , Simonini Corinna , Gembruch Ulrich , Flöck Anne , Strizek Brigitte , Geipel Annegret 
Published: September 2022

Abstract
Objective To investigate the uptake of different components of first trimester screening (FTS) and the impact on invasive diagnostic testing (IPT) since the introduction of
non-invasive prenatal testing (NIPT) at a level III center.
Methods Retrospective data analysis was conducted for singleton pregnancies that presented for FTS between 01/2019–12/2019 (group 1, n = 990). Patients were categorized into three
risk groups: low risk for trisomy 21 (< 1 : 1000), intermediate risk (1 : 101–1 : 1000) and high risk (≥ 1 : 100). Uptake of NIPT and IPT was analyzed for each of the risk groups. Results
were compared to a previous cohort from 2012/2013 (immediately after the introduction of NIPT, group 2, n = 1178).
Results Group 1 showed a significant increase in the use of NIPT as part of FTS (29.5% vs. 3.7% for group 2, p = 0.001) in all three risk groups. Overall IPT rates were lower in
group 1 (8.6%) vs. group 2 (11.3%, p = 0.038), mainly due to a significant reduction of IPT in the intermediate risk group. IPT rates in the high-risk group remained stable over time.
Conclusion Appropriate clinical implementation of NIPT is still currently a challenge for prenatal medicine experts. Our data suggest that widespread uptake of NIPT is becoming more
common these days; however, a contingent approach might prevent redundant uptake.
Die Beiträge des Nervenarztes Ernst Burchard (1876–1920) zur Sexualforschung im frühen 20. Jahrhundert
Authors: Bornemann Georg , Steinberg Holger 
Published: September 2022

ZusammenfassungEinleitung Ernst Burchard (1876–1920) wirkte als Nervenarzt und Sexualwissenschaftler zu Beginn des 20. Jahrhunderts. Seine intensive Forschung unter anderem zur Homosexualität sowie seine Gutachtertätigkeit mit Magnus Hirschfeld (1868–1935) sind durch diverse Publikationen belegt.Forschungsziele Bisher wurden die Arbeiten Burchards in der Medizingeschichte kaum beachtet. Die vorliegende Studie möchte erstmals seine sexologischen Beiträge systematisch inhaltlich erfassen und damit seine Positionen klarer verorten.Methoden Anhand bekannter sowie neu aufgespürter Publikationen Burchards nehmen wir eine medizinhistorische Quellenanalyse vor, extrahieren die Grundaussagen und ordnen sie vor dem Hintergrund des historischen Kontextes ein.Ergebnisse Burchard erklärt, dass Homosexualität angeboren und natürlich sei. Menschen mit transvestitischen Neigungen sollten dieser entsprechen dürfen. All seine Sichtweisen prononciert er in einem detaillierten Lexikon über Sexualität – dem wohl ersten seiner Art im deutschsprachigen Raum.Schlussfolgerung Anhand seiner Grundhaltungen zu sexuellen Minderheiten lässt sich Burchard weitestgehend als Anhänger Hirschfelds einordnen. Sein Lexikon stellt eine neue Facette in der medizinhistorischen Forschung dar.
Einschätzung von Symptomen des brachyzephalen obstruktiven Atemwegssyndroms und anderen rassetypischen Erkrankungen bei Mops-Hunden – eine Online-Umfrage
Authors: Schroers Maike , Meyer-Lindenberg Andrea 
Published: September 2022

Zusammenfassung
Gegenstand und Ziel Ziel der Studie war es, im Rahmen einer Online-Umfrage für Mops-Besitzer das Vorkommen und die Wahrnehmung für das durch die Zucht bedingte brachyzephale obstruktive Atemwegssyndrom (BOAS) zu ermitteln.
Material und Methoden Es wurde ein digitaler Fragebogen für Besitzer zur Verbreitung und Beantwortung über soziale Medien erstellt und ausgewertet.
Ergebnisse Insgesamt wurde der Fragebogen von 1220 Mops-Besitzern beantwortet. 1073 Hunde waren nicht operiert. Laut der Besitzer zeigen 32 % (344/1073) der Tiere, bei denen bisher keine OP zur Erweiterung der Atemwege durchgeführt wurde, in Ruhe „leichte“ und 3 % (34/1073) „deutliche“ Atemgeräusche. Die wahrgenommenen Atemgeräusche wurden von 86 % (326/378) der Besitzer als „normal, rassetyptisch“ und von 14 % (51/378) als „Erkrankung“ klassifiziert. 20 % (210/1073) der Tiere scheinen bei körperlichen Belastung nach kurzer Zeit „etwas“ und 5 % (57/1073) scheinen „häufig müde und schnell außer Atem“ zu sein. 24 % (245/1220) aller Tiere leiden u. a. an Augen-, 10 % (122/1220) an Haut- und 11 % (134/1220) an Wirbelsäulenerkrankungen.
Schlussfolgerung Aus der Umfrage wird deutlich, dass mehr als die Hälfte der Mopsbesitzer bei ihren Tieren klinische Anzeichen von BOAS und/oder weiteren rassespezifischen Erkrankungen wahrnehmen, ein Großteil diese aber als unproblematisch ansieht.
Klinische Relevanz Daraus ergibt sich, dass die mit der Brachyzephalie einhergehenden, klinischen Einschränkungen der Tiere häufig nicht als Erkrankung wahrgenommen und unterschätzt werden.
Potassium Persulfate/Tributylamine-Mediated Alkylation/Annulation of N-Arylacrylamides with Alkyl Iodides
Authors: Li Xiaoqing , Xu Xiangsheng , Chen Huimin , Sun Zetian , Yang Hui , Mao Fenghua , Yan Xinhuan 
Published: September 2022

AbstractWe report a catalyst-free method for the alkylation/annulation of N-arylacrylamides to give the corresponding 3-alkyl-2-oxo-2,3-dihydro-1H-indoles by using alkyl iodides as precursors of alkyl radicals. These reactions occur at moderate temperatures and are mediated by easily accessible K2S2O8 and Bu3N.
Activation Barriers for Cobalt(IV)-Centered Reductive Elimination Correlate with Quantified Interatomic Noncovalent Interactions
Authors: Cornaton Yann , Djukic Jean-Pierre , Loir-Mongazon Lucas , Antuña-Hörlein Carmen , Deraedt Christophe 
Published: September 2022

AbstractIn this joint theoretical and experimental study, an analysis of weak interligand noncovalent interactions within Co(IV) [Cp*Co(phpy)X]+ cobaltacycles (phpy = 2-phenylenepyridine, κ
C,N
) was carried out by using the independent gradient model/intrinsic bond strength index (IGM/IBSI) method to evaluate the dependency of the catalytically desired reductive elimination pathway (RE) on the nature of the X ligand. It is shown that the barrier for activation of the RE pathway correlates directly with the IBSI of the X-to-carbanionic chelate’s carbon. This correlation suggests that in silico prediction of which X ligand is more prone to operate an efficient Cp*Co-catalyzed directed X-functionalization of an aromatic C–H bond is attainable. A set of experiments involving various sources of X ligands supported the theoretical conclusions.
Iron Salts, High Levels of Hemoglobin and Ferritin in Pregnancy, and Development of Gestational Diabetes: A Systematic Review
Authors: Miranda Vanessa Iribarrem Avena , Pizzol Tatiane da Silva Dal , Jesus Patricia Romualdo de , Silveira Marysabel Pinto Telis , Bertoldi Andréa Dâmaso 
Published: September 2022

Abstract
Objective The aim of this study was to systematically review literature on the use of iron supplements (not including iron derived from diet), increased levels of hemoglobin and/or ferritin, and the risk of developing gestational diabetes mellitus (GDM).
Data source The following databases were searched, from the study's inception to April 2021: PUBMED, Cochrane, Web of Science, Scopus, Embase, Cinahl and Lilacs.
Selection of studies A total of 6,956 titles and abstracts were reviewed, 9 of which met the final inclusion criteria, with 7,560 women in total.
Data collection Data extraction was performed by two independent reviewers and disagreements were resolved by a third researcher.
Data synthesis Methodological quality in controlled trials were assessed according to the Cochrane Collaboration tools (ROB-2 and ROBINS-1) and for the observational studies, the National Institutes of Health's (NIH) quality assessment tool was used. Among the 5 observational studies, women with a higher hemoglobin or ferritin level were more likely to develop GDM when compared with those with lower levels of these parameters. Among the 3 randomized clinical trials, none found a significant difference in the incidence of GDM among women in the intervention and control groups. However, we identified many risks of bias and great methodological differences among them.
Conclusion Based on the studies included in this review, and due to the important methodological problems pointed out, more studies of good methodological quality are needed to better establish the association between iron supplementation and GDM.
Adverse Events Related to COVID-19 Vaccines Reported in Pregnant Women in Brazil
Authors: Kobayashi Carla Dinamerica , Porto Victor Bertollo Gomes , da Nóbrega Martha Elizabeth Brasil , Cabral Cibelle Mendes , Barros Tiago Dahrug , Martins Cecília Maria Roteli 
Published: September 2022

AbstractRegulations for the vaccination of pregnant women in Brazil occurred in March 2021. Despite the absence of robust data in the literature on the coronavirus disease 2019 (COVID-19) vaccinations in pregnant women, it is understood that the benefit-risk ratio tends to be favorable when considering the pandemic and the high burden of the disease. However, it is still important to monitor for Events Supposedly Attributable to Vaccination or Immunization (ESAVI) and to draw safety profiles of the different platforms used in pregnant and postpartum women. The present study aims to describe the main characteristics of ESAVIs related to COVID-19 vaccines occurring in pregnant women in the first months of the vaccination campaign in Brazil. During the evaluation period, 1,674 notifications of ESAVIs in pregnant women were recorded, and 582 notifications were included for the analysis. Of the 582 ESAVIs identified, 481 (82%) were classified as non-serious adverse events and 101 (17%) as serious adverse events. Ten deaths were identified, including one death which was considered to be causally related to the vaccine. The other nine maternal deaths had causality C, that is, without causal relationship with the vaccine, and most were due to complications inherent to pregnancy, such as pregnancy-specific hypertensive disorder (PSHD) in 4 cases and 3 due to COVID-19. Despite some limitations in our study, we believe it brings new insights into COVID-19 vaccines in this group and will add to the available evidence.
Ground state spectroscopy and photochemistry of HAlOH
Authors: Trabelsi Tarek , Francisco Joseph S. 
Published: September 2022

Ab initio calculations were carried out in order to study the electronic structure and spectroscopy of cis-HAlOH, trans-HAlOH, H2AlO, and AlOH2. The cis structure is more stable than the trans, and both are thermodynamically stable relative to the AlOH + H dissociation limit. A set of spectroscopic constants were generated for the lowest stable isomers to help with their detection in the laboratory and in the interstellar medium. The first excited state absorbs strongly in the visible region (λ = 460 nm), with a predicted transition dipole moment of 2.07 D. The electronic structures of the first excited state were calculated, including the lifetime, adiabatic excitation energy, rotational constants, and frequencies. We have shown that both isomers may be suitable for laser-induced fluorescence detection. Finally, photodissociation of the cis- and trans-HAlOH isomers is a plausible mechanism for the production of AlOH and H.
Low estrogen level in aged mice leads to abnormal oogenesis affecting the quality of surrounded nucleolus-type immature oocytes
Authors: Liu Yong , Kong Feng , Wang Wenying , Xin Jing , Zhang Shengnan , Chen Ji , Ming Xin , Wu Xiaoqing , Cui Wei , Wang Hongcheng , Li Wenyong 
Published: September 2022

Context With aging, various problems in the reproductive system emerge, especially in females. However, our understanding of reproductive aging in livestock and humans is limited. Aims We aimed to investigate reproductive changes between young and aged mice. Methods Eight- to ten-week-old female mice were used as the young group, and 10-month-old mice were studied as the aged group. Reproductive changes were investigated from physiological, histological, cytological, and epigenetic perspectives. Key results The estrus cycle was shortened (P < 0.0001), and the estradiol (E2) concentration was lower in aged mice (P < 0.01), whereas the progesterone (P4) concentration did not differ between young and aged mice (P > 0.05). The histological results revealed a lower number of antral follicles in the ovary and disordered epithelial tissue structures in the oviducts in aged mice. During oogenesis, the surrounded nucleolus (SN)-type oocytes in aged mice exhibited increased mitochondrial agglutination (P < 0.05) and cellular apoptosis (P < 0.01) as well as decreased H3K36 triple-methylation (P < 0.001). Although many defects existed, the oocytes from aged mice could normally support cellular reprogramming after somatic cell nuclear transfer. Conclusions Our results indicate that the reduced levels of reproductive hormones in aged females lead to shorter estrus cycles and reduced follicular development, leading to abnormal oogenesis, particularly in SN-type immature oocytes. Implications These results provide new insight that enhance our understanding and improve the reproductive ability of aged females.
Axion wormholes with massive dilaton
Authors: Andriolo Stefano , Shiu Gary , Soler Pablo , Van Riet Thomas 
Published: September 2022

Abstract
If Euclidean wormholes contribute meaningfully to the path integral of quantum gravity they can have important implications for particle physics and cosmology. The dominant effects arise from wormholes whose sizes are comparable to the cut-off scale of effective field theory, for which ultraviolet corrections become relevant. We study corrections to classical axion wormhole solutions in string motivated scenarios in which the dilaton partner of the axion becomes massive. We find corrections near the neck region which are consistent with a recent version of the weak gravity conjecture for axions.
Kinematic training of convolutional neural networks for particle image velocimetry
Authors: Manickathan Lento , Mucignat Claudio , Lunati Ivan 
Published: September 2022

Abstract
Convolutional neural networks (CNNs) offer an alternative to the image cross-correlation methods used in particle image velocimetry (PIV) to reconstruct the fluid velocity field from the experimental recording. Despite the flexibility of CNNs, the accuracy and robustness of the standard image processing remains unsurpassed for general PIV data. As CNNs are non-linear and typically entail up to millions of trainable parameters, they require large and carefully designed training datasets to avoid over-fitting and to obtain results that are accurate for a wide range of flow conditions and length scales. Most training datasets consist of PIV-like data that are generated from displacement fields resulting from numerical flow simulations, which, in addition of being computationally expensive, may be able to inform the network only about relatively few classes of flow problems. To overcome this issue and improve the accuracy of the velocity reconstructed by CNNs, we propose to train the networks with synthetic PIV-like data generated from random displacement fields. The underlying idea is that the training dataset simply needs to teach the network about the kinematic relationship between position and velocity. These kinematic training datasets are computationally inexpensive and may allow a much richer variability in terms of length scales by varying the generation parameters. By training a state-of-the-art CNN, we investigate the accuracy of the reconstructed displacement and velocity with synthetic and experimental test cases, such as a sinusoidal flow and wind-tunnel data from a turbulent-boundary-layer and a cylinder-wake experiment. We demonstrate that kinematic training can drastically improve the accuracy of the CNN and allows the network to outperform conventional cross-correlation methods, being more robust with respect to data noise and providing reconstructed velocity fields that have considerably higher spatial resolution (at pixel level).
Freestanding α-rhombohedral borophene nanosheets: preparation and memory device application
Authors: Liang Xinchao , Hao Jinqian , Zhang Pengyu , Hou Chuang , Tai Guoan 
Published: September 2022

Abstract
Borophene has attracted extensive interests owing to its distinct structural, electronic and optical properties for promising potential applications. However, the structural instability and need of metal substrate for deposition of borophene seriously restrict the exploration of its exceptional physical and chemical properties and further hamper its extensive applications towards high-performance electronic and optoelectronic devices. Here, we reported the synthesis of high-quality freestanding α-rhombohedral borophene nanosheets by a facile probe ultrasonic approach in different organic solvents. The results show that the nanosheets have high-quality in ethanol solution and have an average lateral size of 0.54 μm and a thickness of around 1.2 nm. Photoluminescence spectra indicate that a strong quantum confinement effect occurs in the nanosheets, which caused the increase of the band gap from 1.80 eV for boron powders and 2.52 eV for the nanosheets s. A nonvolatile memory device based on the nanosheets mixed with polyvinylpyrrolidone was fabricated, which exhibited a good rewriteable nonvolatile memory behavior and good stability.
Improving cosmological covariance matrices with machine learning
Authors: de Santi Natalí S.M. , Abramo L. Raul 
Published: September 2022

Abstract
Cosmological covariance matrices are fundamental for parameter inference, since they are responsible for propagating uncertainties from the data down to the model parameters. However, when data vectors are large, in order to estimate accurate and precise covariance matrices we need huge numbers of observations, or rather costly simulations - neither of which may be viable. In this work we propose a machine learning approach to alleviate this problem in the context of the covariance matrices used in the study of large-scale structure. With only a small amount of data (matrices built with samples of 50-200 halo power spectra) we are able to provide significantly improved covariance matrices, which are almost indistinguishable from the ones built from much larger samples (thousands of spectra). In order to perform this task we trained convolutional neural networks to denoise the covariance matrices, using in the training process a data set made up entirely of spectra extracted from simple, inexpensive halo simulations (mocks). We then show that the method not only removes the noise in the covariance matrices of the cheap simulation, but it is also able to successfully denoise the covariance matrices of halo power spectra from N-body simulations. We compare the denoised matrices with the noisy sample covariance matrices using several metrics, and in all of them the denoised matrices score significantly better, without any signs of spurious artifacts. With the help of the Wishart distribution we show that the end product of the denoiser can be compared with an effective sample augmentation in the input matrices. Finally, we show that, by using the denoised covariance matrices, the cosmological parameters can be recovered with nearly the same accuracy as when using covariance matrices built with a sample of 30,000 spectra in the case of the cheap simulations, and with 15,000 spectra in the case of the N-body simulations. Of particular interest is the bias in the Hubble parameter H
0, which was significantly reduced after applying the denoiser.
Induced gravitational waves from slow-roll inflation after an enhancing phase
Authors: Balaji Shyam , Domènech Guillem , Silk Joseph 
Published: September 2022

AbstractThe primordial spectrum of fluctuations may present a large peak as a result of enhancing features during inflation. This may include, but is not limited to, bumps in the inflaton's potential, phases of ultra-slow-roll or turns in multi-field space. However, in many models, inflation does not end immediately after the enhancing feature and it is likely to continue with a second phase of slow-roll. We show that the resulting induced gravitational waves may probe the primordial spectrum from the second inflationary phase, even if its amplitude is too small to directly induce detectable gravitational waves. This is because, if there are sharp peaks in the primordial spectrum, the total gravitational wave spectrum is not simply the sum of gravitational waves induced by a peaked and scale-invariant primordial spectra separately, but cross terms from interaction between these modes also become important. We also find that such cross terms always have a characteristic slope. We discuss the parameter space that may be probed by future gravitational wave detectors in the presence of these signals.