bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mercury's Exosphere as Seen by BepiColombo/PHEBUS Visible Channels During the First Two Flybys
Authors: Robidel R. , Quémerais E. , Chaufray J. Y. , Koutroumpa D. , Leblanc F. , Reberac A. , Yoshikawa I. , Yoshioka K. , Murakami G. , Korablev O. , Belyaev D. , Pelizzo M. G. , Corso A. J. 
Published: December 2023

AbstractBepiColombo, the ESA/JAXA joint mission performed its first flyby of Mercury on 1 October 2021 and its second on 23 June 2022. PHEBUS observed the exosphere of Mercury during these flybys notably with its visible channels c404 (centered on the potassium emission line at 404 nm) and c422 (centered on the calcium emission line at 422 nm). The c422 signal shows not only an enhancement of calcium (Ca) near the dawn region but also a very extensive Ca exosphere on the morning side beyond 10,000 km. The e‐folding distance deduced from our Ca profiles (2,500–2,800 km) is in agreement with the value reported by MESSENGER at similar true anomaly angles. We use a Chamberlain model to determine the temperature and density at the exobase. Using the morning side low‐altitude data, we derived a high temperature at the exobase (>50,000 K), in agreement with the MESSENGER results. We also report a day/night asymmetry in the Ca exosphere that could indicate that the source of Ca is predominantly on the dayside or be the consequence of a shift of the main source of Ca away from the dawn region. The c404 channel detected additional species at low altitudes on the morning side during both flybys. Comparison with previous studies is inconclusive and further analysis will be necessary to identify the species. Nevertheless, we can note that the e‐folding distance deduced from our profile is relatively small (135 km) and that the Chamberlain model applied to our profiles seems to indicate a temperature at the exobase <3,000 K.
Symbiotic Ocean Modeling Using Physics‐Controlled Echo State Networks
Authors: Mulder T. E. , Baars S. , Wubs F. W. , Pelupessy F. I. , Verstraaten M. , Dijkstra H. A. 
Published: December 2023

AbstractWe introduce a “symbiotic” ocean modeling strategy that leverages data‐driven and machine learning methods to allow high‐ and low‐resolution dynamical models to mutually benefit from each other. In this work we mainly focus on how a low‐resolution model can be enhanced within a symbiotic model configuration. The broader aim is to enhance the representation of unresolved processes in low‐resolution models, while simultaneously improving the efficiency of high‐resolution models. To achieve this, we use a grid‐switching approach together with hybrid modeling techniques that combine linear regression‐based methods with nonlinear echo state networks. The approach is applied to both the Kuramoto–Sivashinsky equation and a single‐layer quasi‐geostrophic ocean model, and shown to simulate short‐term and long‐term behavior better than either purely data‐based methods or low‐resolution models. By maintaining key flow characteristics, the hybrid modeling techniques are also able to provide higher quality initial conditions for high‐resolution models, thereby improving their efficiency.
The recent research progress of polyphenol‐derived biomaterials in wound repair
Authors: Zhao Shuya , Han Lu , Yan Liwei , Lu Xiong 
Published: December 2023

AbstractThe clinical requirements for wound care are increasing daily, and the global wound dressing market is expanding; however, the research and development of new wound dressings are imminent. Natural biomolecules such as polyphenols, have been widely used in this field of vision. Owing to their unique anti‐oxidative, adhesive, antibacterial and other bioactive functions, researchers have developed a series of wound dressings with excellent performance and applied them to a variety of biomaterials, such as hydrogels, nanofibers, films and scaffolds. They can effectively promote angiogenesis and fibroblast migration and proliferation, scavenge active oxygen free radicals, inhibit excessive inflammatory reactions at wound sites and ultimately accelerate wound healing. The authors summarise the latest progress in polyphenol‐derived biomaterials in skin wound repair to provide inspiration for future wound dressing research.
The low‐cost inhomogeneous multi‐section flat lens antenna with minimum F over D design in Ku‐band
Authors: Taskhiri Mohammad Mahdi 
Published: December 2023

AbstractThis article uses the ray inserting method to design a low‐cost inhomogeneous lens in the Ku‐band. The focal length to the diametre ratio of the designed lens is 0.45, which is lower than most designed lenses in this area. Also, no approximation is considered to yield the refractive index profile. The refractive index changes from the centre to the sides have been made in two sections to limit the maximum calculated refractive index of the structure to the Plexiglass refractive index. The designed lens proposed a good match to the source and surroundings. The theoretical design is validated by the finite difference time domain scheme and full‐wave simulation. The lens structure is realised and fabricated on a multilayer Plexiglass sheet. The results of simulations and experiments indicate good performances of the designed lens in the wide frequency bandwidth.
Preconcentration and measurement of trace Amitriptyline hydrochloride in water samples using magnetic nanoparticles with dispersive solid‐phase extraction
Authors: Amin Arghavan , Moghimi Ali 
Published: December 2023

AbstractIn the separation and determination of trace amounts of drugs in aqueous samples, there is a major challenge in synthesizing highly efficient, cost‐effective, and easy‐to‐use adsorbents based on natural polymers, which are also biocompatible and biodegradable. In the proposed method, magnetite nanoparticles (Fe3O4) on chitosan (as the carrier) modified with β‐cyclodextrin (BCD) were used as a suitable adsorbent for the pre‐concentration and solid‐phase extraction of trace amounts of Amitriptyline HCl (hydrochloride). Ultraviolet spectrophotometer (λ = 236 nm) was the main instrument used for analyte detection and quantification. Moreover, X‐ray diffraction, Fourier transform infrared spectroscopy, Field Emission Scanning Electron Microscopy, and Energy‐Dispersive X‐ray were used for the identification and characterization of the structure and morphology of the adsorbent and to establish the formation of the synthesized magnetic nanosorbents, as well as to confirm the analyte binding to the adsorbent. Experimental variables affecting the extraction/pre‐concentration and determination of the analyte were investigated and optimized; pH of the sample solution, the amount of NaCl salt (in terms of ionic strength of the solution), the amount of adsorbent, temperature, adsorption time, and volume of the eluent (methanol) were the optimized parameters. Finally, the method was successfully applied for the determination of spiked Amitriptyline hydrochloride (HCl) in tap water and human urine samples. Also, High‐Performance Liquid Chromatography was performed on the aqueous samples to compare the proposed method with the USP (the United States Pharmacopeia) standard method of Amitriptyline HCl assay and after performing a t‐test (confidence level of 95%), no significant difference was observed between the two methods. High accuracy and precision (RSD = 3.91%), High analysis speed, few limitations, low expenses, pure extracted analyte, and low waste were the advantages of this method. This method was also compatible with many existing device methods. Under the optimized experimental conditions, the calibration graph was linear in the range of 0.183 to 50 mg.L−1 with a correlation coefficient of 0.996. RSD of the method was 3.91%, the limit of detection was 37.8 µg.L−1, the maximum sorption capacity of the adsorbent for Amitriptyline hydrochloride was 306.525 mg.g−1 and the preconcentration factor was 3.61. Eventually, the proposed method was compared to other methods that have been performed for the determination of Amitriptyline hydrochloride.
A bidirectional high voltage ratio DC–DC topology for energy storage systems in microgrid
Authors: Banaei Mohamad Reza , Golmohamadi Mohamad , Afsharirad Hadi 
Published: December 2023

AbstractThis study proposes a bidirectional DC–DC converter with low voltage stress on its semiconductor elements and high voltage gain. Bidirectional DC–DC converters play a crucial role in DC microgrid systems, and they have been used for many applications such as power flow management, battery storage systems, voltage regulation, and electric vehicle (EV) charging systems. This paper proposes a novel non‐isolated, bidirectional DC–DC converter with an improved voltage gain conversion ratio. In the structure of the proposed converter, the coupled inductor provides high voltage gain and is employed to reduce the overall voltage stress across the main switches. Additionally, a filter inductor on the input‐low voltage side of the converter reduces current ripple. In addition, a single switch is used in boost mode, which simplifies control of the converter. Furthermore, two power switches receive simultaneous pulses for adjusting the buck stage voltage gain. Also, in the following, the mathematical calculations and the small signal analysis for the proposed converter are provided. Furthermore, a 200 W prototype is finally implemented, and its results are validated by the theoretical analysis.
Adaptive second order sliding mode control of an oscillating water column
Authors: Mosquera Facundo D. , Evangelista Carolina A. , Puleston Paul F. , Ringwood John V. 
Published: December 2023

AbstractThe energy from waves has a vast untapped potential to contribute to renewable energy supply and diversification. For that reason, wave energy conversion systems have been a topical research area in recent years. In particular, harnessing wave energy with an oscillating water column converter has proved to be one suitable solution, which has also seen a number of successful deployments. Nevertheless, additional research is required for this technology in order to reach full commercial maturity and economic performance. This paper proposes an adaptive second order sliding mode controller to maximise the converted energy. In particular, the proposed adaptive control setup maintains the sliding mode robust features, while reducing high frequency oscillations and abrupt control actions produced by fixed‐gain algorithms. A comparison of energy generation performance shows better energy conversion efficiency of the proposed control strategy over standard speed regulation control strategies, even considering air compression dynamics and hydrodynamics in the tests.
Revealing ringed galaxies in group environments
Authors: Fernandez Julia , Alonso Sol , Mesa Valeria , Duplancic Fernanda 
Published: December 2023

Aims. We explore galaxies with ringed structures inhabiting poor and rich groups with the aim of assessing the effects of local density environments on ringed galaxy properties.
Methods. We identified galaxies with inner, outer, nuclear, inner+outer (inner and outer rings combined), and partial rings that reside in groups by cross-correlating a sample of ringed galaxies with a group catalog obtained from Sloan Digital Sky Survey (SDSS). The resulting sample was divided based on group richness, with groups having 3 ≤ Nrich ≤ 10 members classified as poor, while groups having 11 ≤ Nrich ≤ 50 were classified as rich. To quantify the effects of rings and the role of local density environment on galaxy properties, we constructed a suitable control sample for each catalog of ringed galaxies in poor and rich groups, consisting of non-ringed galaxies with similar values for the redshift, magnitude, morphology, group masses, and environmental density distributions as those of ringed ones. We explored the occurrence of ringed galaxies in poor and rich groups and analyzed several galaxy properties, such as star formation activity, stellar populations, and colors, with respect to the corresponding comparison samples.
Results. We obtained a sample of 637 ringed galaxies residing in groups. We found that about 76% of these galaxies inhabit poor groups, whereas only about 24% are present in rich groups. Inner rings are prevalent in both rich and poor groups, while nuclear rings are the least common in both groups. Regarding the control sample, about 81% galaxies are found in poor groups and about 19% in rich ones. We find that the percentages of ringed galaxies with bar structures are similar, regardless of whether the group is rich or poor. In addition, ringed galaxies inhabiting groups display a reduction in their star formation activity and aged stellar populations, compared to non-ringed ones in the corresponding control samples. However, the star formation rate is higher for nuclear rings in poor groups than for other types. This disparity may stem from the environmental influence on the internal processes of galaxies, either enhancing or diminishing star formation. Ringed galaxies also show an excess of red colors and tend to populate the green valley and the red sequence of color-magnitude and color-color diagrams, with a surplus of galaxies in the red sequence, while non-ringed galaxies are found in the green valley and the blue region. These trends are more significant in galaxies with ringed structures residing in rich groups. Our findings provide valuable insights into the relationship between ringed structures and their surrounding environments, paving the way for further explorations in this area of study.
Boost recall in quasi-stellar object selection from highly imbalanced photometric datasets
Authors: Calderone Giorgio , Guarneri Francesco , Porru Matteo , Cristiani Stefano , Grazian Andrea , Nicastro Luciano , Bischetti Manuela , Boutsia Konstantina , Cupani Guido , D’Odorico Valentina , Feruglio Chiara , Fontanot Fabio 
Published: December 2023

Context. The identification of bright quasi-stellar objects (QSOs) is of fundamental importance to probe the intergalactic medium and address open questions in cosmology. Several approaches have been adopted to find such sources in the currently available photometric surveys, including machine learning methods. However, the rarity of bright QSOs at high redshifts compared to other contaminating sources (such as stars and galaxies) makes the selection of reliable candidates a difficult task, especially when high completeness is required.Aims. We present a novel technique to boost recall (i.e., completeness within the considered sample) in the selection of QSOs from photometric datasets dominated by stars, galaxies, and low-zQSOs (imbalanced datasets).Methods. Our heuristic method operates by iteratively removing sources whose probability of belonging to a noninteresting class exceeds a user-defined threshold, until the remaining dataset contains mainly high-zQSOs. Any existing machine learning method can be used as the underlying classifier, provided it allows for a classification probability to be estimated. We applied the method to a dataset obtained by cross-matching PanSTARRS1 (DR2),Gaia(DR3), and WISE, and identified the high-zQSO candidates using both our method and its direct multi-label counterpart.Results. We ran several tests by randomly choosing the training and test datasets, and achieved significant improvements in recall which increased from ~50% to ~85% for QSOs withz> 2.5, and from ~70% to ~90% for QSOs withz> 3. Also, we identified a sample of 3098 new QSO candidates on a sample of 2.6 ×106sources with no known classification. We obtained follow-up spectroscopy for 121 candidates, confirming 107 new QSOs withz> 2.5. Finally, a comparison of our QSO candidates with those selected by an independent method based onGaiaspectroscopy shows that the two samples overlap by more than 90% and that both selection methods are potentially capable of achieving a high level of completeness.
Correlation between Anatomopathological Aspects and Pelvic Pain in Women with Deep Infiltrating Endometriosis
Authors: Yela Daniela Angerame , Silva Mariana Sousa Sguerra , Eloy Larissa , Benetti-Pinto Cristina Laguna 
Published: December 2023

Abstract
Objective To correlate the morphological aspects with pelvic pain in women with deep infiltrating endometriosis.
Methods A retrospective study with 67 women with deep endometriosis who underwent surgical treatment in a tertiary hospital from 2007 to 2017. The following variables were considered: age, parity, body mass index, site of involvement, hormonal treatment before surgery, pelvic pain, and morphometric analysis. The histological slides of the surgical specimens were revised and, using the ImageJ software for morphometric study, the percentages of stromal/glandular tissues were calculated in the histological sections.
Results The mean age of the women was 38.9 ± 6.5 years. The mean pain score was 8.8 ± 1.9 and the mean time of symptomatology was 4.7 ± 3.5 years, with 87% of the patients undergoing hormone treatment prior to surgery. The average expression of CD10, CK7, and S100 markers was 19.5 ± 11.8%, 9.4 ± 5.9%, and 7.9 ± 5.8% respectively. It was found that the greater the expression of CD10, the greater the level of pain (p = 0.02). No correlation was observed between the expression of CD10, CK7, and S100 markers and age and duration of symptoms.
Conclusion Women with deep infiltrating endometriosis have a positive association between the level of pain and the fibrosis component in the endometrial tissue's histological composition.
Incidence and Outcomes Associated with Menopausal Status in COVID-19 Patients: A Systematic Review and Meta-analysis
Authors: Akbari Abolfazl , Zarifian Ahmadreza , Hadizadeh Alireza , Hajmolarezaei Ezat 
Published: December 2023

Abstract
Objective Menopause causes several changes in the body that may affect the response to COVID -19. We aimed to investigate the possible association between menopausal status and incidence and outcomes in COVID-19 patients.
Methods Combinations of keywordsCOVID-19, menopause, and estrogen were used to search the PubMed, Embase, Web-of-Science, and Scopus databases for articles reporting the incidence and outcomes of COVID-19 (discharge, length-of-admission, intensive care, or mortality) in premenopausal women, available through December 29, 2022. Data from studies comparing the incidence of COVID-19 infection with the age-matched male population were pooled and meta-analyzed using a random-effects model.
Results Overall, 1,564 studies were retrieved, of which 12 were finally included in the systematic review to compare disease outcomes, and 6 were meta-analyzed for the incidence of COVID-19 in premenopausal and postmenopausal women. All studies reported better COVID-19-associated outcomes in premenopausal women compared with postmenopausal women. After adjusting for confounding factors, three studies found better outcomes in postmenopausal women, and two found no association between menopausal status and COVID-19 outcomes. Our meta-analysis found a higher incidence of COVID-19 infection among premenopausal women than postmenopausal women, when compared with age-matched men (odds ratio = 1.270; 95% confidence interval: 1.086–1.486; p = 0.003).
Conclusion The incidence of COVID-19 was significantly higher in premenopausal women than in postmenopausal women when compared with age-matched men. Although premenopausal women may have more favorable COVID-19-associated outcomes, the presumed preventive effect of estrogens on the incidence and related outcomes of COVID-19 in premenopausal women cannot be proven at present. Further longitudinal studies comparing pre- and post-menopausal women are required to provide further insight into this matter.
Efficacy, Safety, and Acceptability of Misoprostol in the Treatment of Incomplete Miscarriage: A Systematic Review and Meta-analysis
Authors: Silva Thiago Menezes da , Araujo Moema Alves Guerra de , Simões Ana Carolina Zimmermann , Oliveira Ronnier de , Medeiros Kleyton Santos de , Sarmento Ayane Cristine , Medeiros Robinson Dias de , Costa Ana Paula Ferreira , Gonçalves Ana Katherine 
Published: December 2023

Abstract
Objective To assess the efficacy, safety, and acceptability of misoprostol in the treatment of incomplete miscarriage.
Data sources The PubMed, Scopus, Embase, Web of Science, Cochrane Library, and Clinical Trials databases (clinicaltrials.gov) were searched for the relevant articles, and search strategies were developed using a combination of thematic Medical Subject Headings terms and text words. The last search was conducted on July 4, 2022. No language restrictions were applied.
Selection of studies Randomized clinical trials with patients of gestational age up to 6/7 weeks with a diagnosis of incomplete abortion and who were managed with at least 1 of the 3 types of treatment studied were included. A total of 8,087 studies were screened.
Data collection Data were synthesized using the statistical package Review Manager V.5.1 (The Cochrane Collaboration, Oxford, United Kingdom). For dichotomous outcomes, the odds ratio (OR) and 95% confidence interval (CI) were derived for each study. Heterogeneity between the trial results was evaluated using the standard test, I2 statistic.
Data synthesis When comparing misoprostol with medical vacuum aspiration (MVA), the rate of complete abortion was higher in the MVA group (OR = 0.16; 95%CI = 0.07–0.36). Hemorrhage or heavy bleeding was more common in the misoprostol group (OR = 3.00; 95%CI = 1.96–4.59), but pain after treatment was more common in patients treated with MVA (OR = 0.65; 95%CI = 0.52–0.80). No statistically significant differences were observed in the general acceptability of the treatments.
Conclusion Misoprostol has been determined as a safe option with good acceptance by patients.
Combined Oral Contraceptive Use and the Risk of Cervical Cancer: Literature Review
Authors: Bovo Adriane Cristina , Pedrão Priscila Grecca , Guimarães Yasmin Medeiros , Godoy Luani Rezende , Resende Júlio César Possati , Longatto-Filho Adhemar , Reis Ricardo dos 
Published: December 2023

AbstractCervical cancer (CC) is caused by persistent infection of human papillomavirus of high oncogenic risk (hr-HPV); however, several cofactors are important in its carcinogenesis, such as smoking, multiparity, and prolonged use of oral hormonal contraceptives (COCs). Worldwide, 16% of women use COCs, whereas in Brazil this rate is of ∼ 30%. The safety and adverse effects of COCs are widely discussed in the literature, including the increase in carcinogenic risk. Due to the existence of several drugs, combinations, and dosages of COCs, it is hard to have uniform information in epidemiological studies. Our objective was to perform a narrative review on the role of COCs use in the carcinogenesis of cervical cancer. Several populational studies have suggested an increase in the incidence of cervical cancer for those who have used COCs for > 5 years, but other available studies reach controversial and contradictory results regarding the action of COCs in the development of CC.