bluuebunny/crossref_metadata_2025_split huggingface dataset:
Passive mitigation of low-frequency vibration modes in lightweight structures based on a new generation of acoustic black holes
Authors: Humbert C , Monthoil H , Nicolay P 
Published: December 2023

Abstract
Topology optimization and generative design are methods used to lighten structures under specific loads. The resulting lightweight components are usually softer in the directions perpendicular to the applied efforts, such as in the case of cranes. This results in the possible excitation of structural modes at very low frequencies, which can lead to premature aging of lightweight structures. In this paper, we present a new design of acoustic black hole (ABH), able to mitigate vibration modes in a test 3D-printed lightweight structure, from 20 Hz upwards. The novel ABH weights less than 10 grams and can be readily screwed on the structure. Its design is based on that of a classic ABH, with additional winglets and/or rods, to increase the vibrating mass without significantly changing the stiffness of the ABH. This results in a strongly reduced ABH cut-on frequency. The winglets and/or rods also result in a greatly increased contact area between the ABH and the viscoelastic dissipative material, with positive effects on the ABH damping efficiency. The new ABHs could successfully be used, first to damp the fundamental vibration mode of aluminum cylinders, and then to reduce the amplitude of the first three structural modes of the test lightweight structure. The new ABH manages to damp modes at frequencies several times lower than the ones found in the literature, which are promising results.
An open-source framework for balancing computational speed and fidelity in production cost models
Authors: Akdemir Kerem Ziya , Oikonomou Konstantinos , Kern Jordan D , Voisin Nathalie , Ssembatya Henry , Qian Jingwei 
Published: December 2023

Abstract
Studies of bulk power system operations need to incorporate uncertainty and sensitivity analyses, especially around exposure to weather and climate variability and extremes, but this remains a computational modeling challenge. Commercial production cost models (PCMs) have shorter runtimes, but also important limitations (opacity, license restrictions) that do not fully support stochastic simulation. Open-source PCMs represent a potential solution. They allow for multiple, simultaneous runs in high-performance computing environments and offer flexibility in model parameterization. Yet, developers must balance computational speed (i.e. runtime) with model fidelity (i.e. accuracy). In this paper, we present Grid Operations (GO), a framework for instantiating open-source, scale-adaptive PCMs. GO allows users to search across parameter spaces to identify model versions that appropriately balance computational speed and fidelity based on experimental needs and resource limits. Results provide generalizable insights on how to navigate the fidelity and computational speed tradeoff through parameter selection. We show that models with coarser network topologies can accurately mimic market operations, sometimes better than higher-resolution models. It is thus possible to conduct large simulation experiments that characterize operational risks related to climate and weather extremes while maintaining sufficient model accuracy.
Achieving success with RISE: A widely implementable, iterative, structured process for mastering interdisciplinary team science collaborations
Authors: Mather Martha E , Granco Gabriel , Bergtold Jason S , Caldas Marcellus M , Heier Stamm Jessica L , Sheshukov Aleksey Y , Sanderson Matthew R , Daniels Melinda D 
Published: December 2023

Abstract
Scientific experts from different disciplines often struggle to mesh their specialized perspectives into the shared mindset that is needed to address difficult and persistent environmental, ecological, and societal problems. Many traditional graduate programs provide excellent research and technical skill training. However, these programs often do not teach a systematic way to learn team skills, nor do they offer a protocol for identifying and tackling increasingly integrated interdisciplinary (among disciplines) and transdisciplinary (among researchers and stakeholders) questions. As a result, professionals trained in traditional graduate programs (e.g., current graduate students and employed practitioners) may not have all of the collaborative skills needed to advance solutions to difficult scientific problems. In the present article, we illustrate a tractable, widely implementable structured process called RISE that accelerates the development of these missing skills. The RISE process (Route to Identifying, learning, and practicing interdisciplinary and transdisciplinary team Skills to address difficult Environmental problems) can be used by diverse teams as a tool for research, professional interactions, or training. RISE helps professionals with different expertise learn from each other by repeatedly asking team-developed questions that are tested using an interactive quantitative tool (e.g., agent-based models, machine learning, case studies) applied to a shared problem framework and data set. Outputs from the quantitative tool are then discussed and interpreted as a team, considering all team members’ perspectives, disciplines, and expertise. After this synthesis, RISE is repeated with new questions that the team jointly identified in earlier data interpretation discussions. As a result, individual perspectives, originally informed by disciplinary training, are complemented by a shared understanding of team function and elevated interdisciplinary knowledge.
Are the Chicago 3.0 manometric diagnostics consistent with Chicago 4.0?
Authors: Tobón Angélica , Hani Albis C , Pulgarin Cristiam D , Ardila Andres F , Muñoz Oscar M , Sierra Julian A , Cisternas Daniel 
Published: December 2023

Summary
There is little information on the degree of concordance between the results obtained using the Chicago 3.0 (CCv3.0) and Chicago 4.0 (CCv4.0) protocols to interpret high-resolution manometry (HRM) seeking to determine the value provided by the new swallowing maneuvers included in the last protocol. This is a study of diagnostic tests, evaluating concordance by consistency between the results obtained by the CCv3.0 and CCv4.0 protocols, in patients undergoing HRM. Concordance was assessed with the kappa test. Bland–Altman scatter plots, and Lin’s correlation-concordance coefficient (CCC) were used to assess the agreement between IRP measured with swallows in the supine and seated position or with solid swallows. One hundred thirty-two patients were included (65% women, age 53 ± 17 years). The most frequent HRM indication was dysphagia (46.1%). Type I was the most common type of gastroesophageal junction. The most frequent CCv4.0 diagnoses were normal esophageal motility (68.9%), achalasia (15.5%), and ineffective esophageal motility (IEM; 5.3%). The agreement between the results was substantial (Kappa 0.77 ± 0.05), with a total agreement of 87.9%. Diagnostic reclassification occurred in 12.1%, from IEM in CCv3.0 to normal esophageal motility in CCv4.0. Similarly, there was a high level of agreement between the IRP measured in the supine compared to the seated position (CCC0.92) and with solid swallows (CCC0.96). In conclusion, the CCv4.0 protocol presents a high concordance compared to CCv3.0. In the majority of manometric diagnoses there is no reclassification of patients with provocation tests. However, the more restrictive criteria of CCv4.0 achieve a better reclassification of patients with IEM.
Pasireotide: potential treatment option for McCune–Albright-associated acromegaly
Authors: Ilie Mirela-Diana , Raverot Gérald , Brac de la Perrière Aude 
Published: December 2023

Abstract
Only 30% of patients with McCune–Albright syndrome (MAS)–associated acromegaly achieve biochemical control under first-generation somatostatin receptor ligands (fg-SRLs), while pegvisomant fails to normalize insulin-like growth factor 1 (IGF-I) in &gt;20% of cases. Here, we report all the patients with MAS-associated acromegaly treated with pasireotide long-acting release (LAR) in our center. Pasireotide LAR 20 mg/month resulted in rapid and long-term IGF-I normalization in patients #1 and #3. Patient #3 was resistant to fg-SRLs, while patient #1 was also controlled on fg-SRLs. In patient #2, resistant to fg-SRLs and uncontrolled on pegvisomant 40 mg/day combined with cabergoline 0.5 mg/day, pegvisomant was replaced with pasireotide LAR 40 mg/month, resulting in the near normalization of IGF-I levels. All 3 patients developed intermittent impaired fasting glucose, without the need for glucose-lowering drugs. Thus, pasireotide LAR is clearly useful as third-line therapy, and potentially even as second-line therapy, in MAS-associated acromegaly.
Accuracy and comprehensibility of chat-based artificial intelligence for patient information on atrial fibrillation and cardiac implantable electronic devices
Authors: Hillmann Henrike A K , Angelini Eleonora , Karfoul Nizar , Feickert Sebastian , Mueller-Leisse Johanna , Duncker David 
Published: December 2023

Abstract

Aims
Natural language processing chatbots (NLPC) can be used to gather information for medical content. However, these tools contain a potential risk of misinformation. This study aims to evaluate different aspects of responses given by different NLPCs on questions about atrial fibrillation (AF) and clinical implantable electronic devices (CIED).

Methods and results
Questions were entered into three different NLPC interfaces. Responses were evaluated with regard to appropriateness, comprehensibility, appearance of confabulation, absence of relevant content, and recommendations given for clinically relevant decisions. Moreover, readability was assessed by calculating word count and Flesch Reading Ease score. 52, 60, and 84% of responses on AF and 16, 72, and 88% on CIEDs were evaluated to be appropriate for all responses given by Google Bard, (GB) Bing Chat (BC) and ChatGPT Plus (CGP), respectively. Assessment of comprehensibility showed that 96, 88, and 92% of responses on AF and 92 and 88%, and 100% on CIEDs were comprehensible for all responses created by GB, BC, and CGP, respectively. Readability varied between different NLPCs. Relevant aspects were missing in 52% (GB), 60% (BC), and 24% (CGP) for AF, and in 92% (GB), 88% (BC), and 52% (CGP) for CIEDs.

Conclusion
Responses generated by an NLPC are mostly easy to understand with varying readability between the different NLPCs. The appropriateness of responses is limited and varies between different NLPCs. Important aspects are often missed to be mentioned. Thus, chatbots should be used with caution to gather medical information about cardiac arrhythmias and devices.
Nearly (?) sterile avian egg in a passerine bird
Authors: Těšický Martin , Schmiedová Lucie , Krajzingrová Tereza , Samblas Mercedes Gomez , Bauerová Petra , Kreisinger Jakub , Vinkler Michal 
Published: December 2023

AbstractDuring early ontogeny, microbiome affects development of the gastrointestinal tract, immunity, and survival in vertebrates. Bird eggs are thought to be (1) initially sterile (sterile egg hypothesis) and (2) colonized after oviposition through horizontal trans-shell migration, or (3) initially seeded with bacteria by vertical transfer from mother oviduct. To date, however, little empirical data illuminate the contribution of these mechanisms to gut microbiota formation in avian embryos. We investigated microbiome of the egg content (day 0; E0-egg), embryonic gut at day 13 (E13) and female faeces in a free-living passerine, the great tit (Parus major), using a methodologically advanced procedure combining 16S rRNA gene sequencing and microbe-specific qPCR assays. Our metabarcoding revealed that the avian egg is (nearly) sterile, but acquires a slightly richer microbiome during the embryonic development. Of the three potentially pathogenic bacteria targeted by qPCR, only Dietzia was found in E0-egg (yet also in negative controls), E13 gut and female samples, which might indicate possible vertical transfer. Unlike in poultry, we have shown that major bacterial colonization of the gut in passerines does not occur before hatching. We emphasize that protocols that carefully check for environmental contamination are critical in studies with low-bacterial biomass samples.
Insights into the Superrosids phylogeny and flavonoid synthesis from the telomere-to-telomere gap-free genome assembly of Penthorum chinense Pursh
Authors: Wang Zhoutao , Zhou Junmei , Pan Junjie , Cheng Wei , Fang Jie , Lv Qundan , Lin Xiaodan , Cheng Wenliang , Zhang Liangsheng , Cheng Kejun 
Published: December 2023

Abstract
The completion of the first telomere-to-telomere (T2T) genome assembly of Penthorum chinense Pursh (PC), a prominent medicinal plant in China, represents a significant achievement. This assembly spans a length of 257.5 Mb and consists of nine chromosomes. PC’s notably smaller genome size in Saxifragales, compared to that of Paeonia ostii, can be attributed to the low abundance of transposable elements. By utilizing single-copy genes from 30 species, including 28 other Superrosids species, we successfully resolved a previously debated Superrosids phylogeny. Our findings unveiled Saxifragales as the sister group to the core rosids, with both being the sister group to Vitales. Utilizing previously characterized cytochrome P450 (CYP) genes, we predicted the compound classes that most CYP genes of PC are involved in synthesizing, providing insight into PC’s potential metabolic diversity. Metabolomic and transcriptomic data revealed that the richest sources of the three most noteworthy medicinal components in PC are young leaves and flowers. We also observed higher activity of upstream genes in the flavonoid synthesis pathway in these plant parts. Additionally, through weighted gene co-expression network analysis, we identified gene regulatory networks associated with the three medicinal components. Overall, these findings deepen our understanding of PC, opening new avenues for further research and exploration.
Machine learning to identify clinically relevant Candida yeast species
Authors: Shankarnarayan Shamanth A , Charlebois Daniel A 
Published: December 2023

Abstract
Fungal infections, especially due to Candida species, are on the rise. Multi-drug resistant organisms such as Candida auris are difficult and time consuming to identify accurately. Machine learning is increasingly being used in health care, especially in medical imaging. In this study, we evaluated the effectiveness of six convolutional neural networks (CNNs) to identify four clinically important Candida species. Wet-mounted images were captured using bright field live-cell microscopy followed by separating single-cells, budding-cells, and cell-group images which were then subjected to different machine learning algorithms (custom CNN, VGG16, ResNet50, InceptionV3, EfficientNetB0, and EfficientNetB7) to learn and predict Candida species. Among the six algorithms tested, the InceptionV3 model performed best in predicting Candida species from microscopy images. All models performed poorly on raw images obtained directly from the microscope. The performance of all models increased when trained on single and budding cell images. The InceptionV3 model identified budding cells of C. albicans, C. auris, C. glabrata (Nakaseomyces glabrata), and C. haemulonii in 97.0%, 74.0%, 68.0%, and 66.0% cases, respectively. For single cells of C. albicans, C. auris, C. glabrata, and C. haemulonii InceptionV3 identified 97.0%, 73.0%, 69.0%, and 73.0% cases, respectively. The sensitivity and specificity of InceptionV3 were 77.1% and 92.4%, respectively. Overall, this study provides proof of the concept that microscopy images from wet-mounted slides can be used to identify Candida yeast species using machine learning quickly and accurately.
OGLE-BLAP-009 – a case study for the properties and evolution of blue large-amplitude pulsators
Authors: Bradshaw Corey W , Dorsch Matti , Kupfer Thomas , Barlow Brad N , Heber Uli , Bauer Evan B , Bildsten Lars , van Roestel Jan 
Published: December 2023

ABSTRACT
Blue large-amplitude pulsators (BLAPs) make up a rare class of hot pulsating stars with effective temperatures of ≈30 000 K and surface gravities of 4.0–5.0 dex (cgs). The evolutionary origin and current status of BLAPs is not well understood, largely based on a lack of spectroscopic observations and no available mass constraints. However, several theoretical models have been proposed that reproduce their observed properties, including studies that identify them as pulsating helium-core pre-white dwarfs (He-core pre-WDs). We present here follow-up high-speed photometry and phase-resolved spectroscopy of one of the original 14 BLAPs, OGLE-BLAP-009, discovered during the Optical Gravitational Lensing Experiment. We aim to explore its pulsation characteristics and determine stellar properties such as mass and radius in order to test the consistency of these results with He-core pre-WD models. Using the mean atmospheric parameters found using spectroscopy, we fit a spectral energy distribution to obtain a preliminary estimate of the radius, luminosity, and mass by making use of the Gaia parallax. We then compare the consistency of these results to He-core pre-WD models generated using Modules for Experiments in Stellar Astrophysics, with predicted pulsation periods implemented using gyre. We find that our mass constraints are in agreement with a low-mass He-core pre-WD of ≈0.30 M⊙.
Analyses for graphical records for a total solar eclipse in 1230 May: a possible reference for the ‘Medieval Grand Maximum’
Authors: Hayakawa Hisashi , Murata Koji , Owens Mathew J , Lockwood Mike 
Published: December 2023

Abstract
Datable graphical records of total solar eclipses allow us to assess contemporaneous variability of Earth’s rotation speed, solar coronal structure, and solar-wind conditions. Such graphical records were studied back to the early 18th century. Here, we examine Matthew Paris’ medieval manuscript, an eyewitness account of a total solar eclipse just after local sunrise on 1230 May 14, to analyse his drawings for this eclipse. We philologically identify his observational site as St. Albans and compute local eclipse visibility. To locate St. Albans in the totality path, our analysis requires an accumulative error in time due to the variation in the Earth’s rate of rotation, ΔT, in the range 394 s &lt; ΔT &lt; 764 s (loose scenario), slightly revising the latest published ΔT spline curve. The eclipsed Sun sould have been visible after local sunrise if we set the ΔT margins to 394 s &lt; ΔT &lt; 659 s (strict scenario), which requires a further slight modification of the latest ΔT spline curve. Matthew Paris’ drawing of the total solar eclipse showed streamer-like structures similar to solar-minimum-type coronal streamers, consistent with the local tilt of the apparent solar equator. This is morphologically consistent with the minimum-type solar coronal streamers predicted from the open solar flux reconstructed from the 14C data set. This record potentially demonstrates a similarity in solar cycles between the ‘Medieval Grand Maximum’ and modern solar cycles. Collectively, historical eclipse records could be used as spot references for Earth’s rotation speed, solar coronal dynamics, and background solar dynamo activity on a millennial time-scale.
Spitzer-selected z &gt; 1.3 protocluster candidates in the LSST Deep Drilling Fields
Authors: Gully Harry , Hatch Nina , Bahé Yannick , Balogh Michael , Bolzonella Micol , Cooper M C , Muzzin Adam , Pozzetti Lucia , Rudnick Gregory , Vulcani Benedetta , Wilson Gillian 
Published: December 2023

ABSTRACT
We have identified 189 candidate z &gt; 1.3 protoclusters and clusters in the LSST Deep Drilling Fields. This sample will enable the measurement of the metal enrichment and star formation history of clusters during their early assembly period through the direct measurement of the rate of supernovae identified through the LSST. The protocluster sample was selected from galaxy overdensities in a Spitzer/IRAC colour-selected sample using criteria that were optimized for protocluster purity using a realistic light-cone. Our tests reveal that $60\!-\!80~{{\ \rm per\ cent}}$ of the identified candidates are likely to be genuine protoclusters or clusters, which is corroborated by a ∼4σ stacked X-ray signal from these structures. We provide photometric redshift estimates for 47 candidates which exhibit strong peaks in the photo-z distribution of their candidate members. However, the lack of a photo-z peak does not mean a candidate is not genuine, since we find a stacked X-ray signal of similar significance from both the candidates that exhibit photo-z peaks and those that do not. Tests on the light-cone reveal that our pursuit of a pure sample of protoclusters results in that sample being highly incomplete ($\sim 4~{{\ \rm per\ cent}}$) and heavily biased towards larger, richer, more massive, and more centrally concentrated protoclusters than the total protocluster population. Most ($\sim 75~{{\ \rm per\ cent}}$) of the selected protoclusters are likely to have a maximum collapsed halo mass of between 1013 and 1014 M⊙, with only $\sim 25~{{\ \rm per\ cent}}$ likely to be collapsed clusters above 1014 M⊙. However, the aforementioned bias ensures our sample is $\sim 50~{{\ \rm per\ cent}}$ complete for structures that have already collapsed into clusters more massive than 1014 M⊙.
Spectrophotometric properties of CoPhyLab’s dust mixtures
Authors: Feller C , Pommerol A , Lethuillier A , Hänni N , Schürch S , Bühr C , Gundlach B , Haenni B , Jäggi N , Kaminek M ,   the CoPhyLab Team
Published: December 2023

ABSTRACT
Objective: In the framework of the Cometary Physics Laboratory (CoPhyLab) and its sublimation experiments of cometary surface analogues under simulated space conditions, we characterize the properties of intimate mixtures of juniper charcoal and SiO2 chosen as a dust analogue (Lethuillier et al. 2022). We present the details of these investigations for the spectrophotometric properties of the samples. Methods: We measured these properties using a hyperspectral imager and a radio-goniometer. From the samples’ spectra, we evaluated reflectance ratios and spectral slopes. From the measured phase curves, we inverted a photometric model for all samples. Complementary characterizations were obtained using a pycnometer, a scanning electron microscope and an organic elemental analyser. Results: We report the first values for the apparent porosity, elemental composition, and VIS-NIR spectrophotometric properties for juniper charcoal, as well as for intimate mixtures of this charcoal with the SiO2. We find that the juniper charcoal drives the spectrophotometric properties of the intimate mixtures and that its strong absorbance is consistent with its elemental composition. We find that SiO2 particles form large and compact agglomerates in every mixture imaged with the electron microscope, and its spectrophotometric properties are affected by such features and their particle-size distribution. We compare our results to the current literature on comets and other small Solar system bodies and find that most of the characterized properties of the dust analogue are comparable to some extent with the spacecraft-visited cometary nuclei, as well as to Centaurs, Trojans, and the bluest TNOs.