bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrospinning of ultrafine non‐hydrolyzed silk sericin/PEO fibers on PLA: A bilayer scaffold fabrication
Authors: Mathieu Paul , Bascou Rémi , Navarro Oliva Francisco Sebastian , Nesterenko Alla , Ngo Anh‐Tu , Lisiecki Isabelle , Guénin Erwann , Bedoui Fahmi 
Published: January 2023

AbstractWe report the feasibility of electrospinning of protein‐polymer multilayered scaffolds with selected materials such as non‐hydrolyzed silk sericin (SS), polyethylene oxide (PEO), and polylactic acid (PLA), with tuned fiber size and properties for each layer. We present a new innovative way for the electrospinning (ES) of non‐hydrolyzed SS mixed with PEO yielding fibers with an average diameter ranging between 120 and 150 nm. Different SS:PEO ratios have been electrospun to study the effect of the concentration of SS protein on the fibers size and shape, as well and their electrospinnability. Electrospun SS:PEO fibers display weak to no mechanical resistance (non‐measurable) and their deposition onto a sturdier scaffold is necessary to allow their use in biomedical and/or pharmaceutical fields. Therefore, bilayer scaffolds have been fabricated consisting of a PLA support and SS:PEO fibers obtained from the optimized SS:PEO ratio (1.2:4). They are composed of a sturdy hydrophobic layer of PLA fibers and a layer of sticky hydrophilic SS:PEO fibers. The scaffolds have been characterized extensively by Fourier transforms infra‐red (FTIR) spectroscopy, X‐ray diffraction (XRD), scanning electron microscopy (SEM), and their resistance to mechanical stress. Finally, hydrophobicity of both layers has been determined by measuring the contact angle of water droplets on the scaffolds, further proving the bilayer nature of the scaffolds.
Investigating consumer preferences for known wild provenance of plants within the horticultural trade
Authors: Blackhall‐Miles Robert J. , Fraser Iain M. , Roberts David L. 
Published: January 2023

Societal Impact StatementAlthough significant advances have been made in implementing international mechanisms to support the benefit sharing of natural resources in low and middle income countries, there are limited practical examples. Our research examines how the ornamental horticulture sector might be able to meet its benefit sharing requirements. Employing a consumer survey, we reveal the potential for monetary benefit sharing to emerge for plants with Known Wild Provenance. Our results indicate that although consumers value plants that have their Known Wild Provenance clearly labelled, the magnitude of this estimate is insufficient to generate meaningful monetary benefits.SummaryThe global trade in ornamental plants is significant and growing. Historically, the relationship between the acquisition of novel plants from the wild for use in ornamental horticulture has been referred to as plant hunting. However, questions are now being raised about the ethical utilisation of biological resources and if those countries providing access to material from the wild are receiving adequate benefits. It is in this context that we examine if plants of Known Wild Provenance (KWP) are valued by UK consumers, and if a potential premium could be the basis of a benefit‐sharing agreement.Employing a choice experiment, we assess consumers' preferences and willingness to pay (WTP) for KWP.Our analysis reveals that KWP did not prove to be a strong driver for plant buyers.Although a positive WTP is generated it is relatively small. Thus, the ability of commercial horticulture to provide monetary benefits to support benefit sharing is likely limited. This result raises questions as to how benefit sharing might then be implemented if buyers of plants are not prepared to pay a price premium.
Impact of asthma on heart rate variability in children and adolescents: Systematic review and meta‐analysis
Authors: Schiwe Daniele , Vendrusculo Fernanda Maria , Becker Nicolas Acosta , Donadio Márcio Vinícius Fagundes 
Published: January 2023

AbstractPurposeAsthma is associated with abnormal autonomic function, and heart rate variability is considered a simple, accurate, and noninvasive tool for monitoring the autonomic system. Thus, the aim of this study was to investigate the impact of asthma on heart rate variability in children and adolescents.MethodsThis systematic review of observational studies and clinical trials evaluated heart rate variability in children and adolescents with asthma compared to healthy controls. The data were extracted independently by two reviewers. The quality of the selected articles was assessed using Agency for Health Care Research and Quality indicators. Random effects meta‐analysis was performed for each outcome, with the effect size reported as standardized mean difference.ResultsFifteen studies were included, of which five were classified as having high methodological quality. In the meta‐analysis, long‐term recording of the standard deviation of all normal‐to‐normal sinus R‐R intervals differed significantly between groups (standardized mean difference [SMD] = −0.46 [95% confidence interval {CI}: −0.79 to −0.14], p < 0.005, I2 = 0%). Moreover, R‐R intervals (long‐term) were significantly shorter in asthmatic children than controls (SMD = −0.47 [95% CI: −0.68 to −0.25], p < 0.0001, I2 = 0). There were no significant differences between adjacent normal R‐R intervals that exceed 50 ms (long‐term) and the root mean square of successive differences between normal sinus R‐R intervals (short‐term). Regarding frequency‐domain variables, long‐term low frequency measurements differed significantly between groups (SMD = −0.34 [95% CI: −0.58 to −0.10], p < 0.005, I2 = 15%). There were no differences in high frequency measurements or in the ratio between low/high frequency powers (short‐ or long‐term) between groups.ConclusionThe results confirm the impact of asthma on heart rate variability in children and adolescents, indicating lower heart rate variability and sympathetic modulation.
Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf
Authors: Yariv Barak , Yariv Elon , Kessel Amit , Masrati Gal , Chorin Adi Ben , Martz Eric , Mayrose Itay , Pupko Tal , Ben‐Tal Nir 
Published: January 2023

AbstractThe ConSurf web‐sever for the analysis of proteins, RNA, and DNA provides a quick and accurate estimate of the per‐site evolutionary rate among homologues. The analysis reveals functionally important regions, such as catalytic and ligand‐binding sites, which often evolve slowly. Since the last report in 2016, ConSurf has been improved in multiple ways. It now has a user‐friendly interface that makes it easier to perform the analysis and to visualize the results. Evolutionary rates are calculated based on a set of homologous sequences, collected using hidden Markov model‐based search tools, recently embedded in the pipeline. Using these, and following the removal of redundancy, ConSurf assembles a representative set of effective homologues for protein and nucleic acid queries to enable informative analysis of the evolutionary patterns. The analysis is particularly insightful when the evolutionary rates are mapped on the macromolecule structure. In this respect, the availability of AlphaFold model structures of essentially all UniProt proteins makes ConSurf particularly relevant to the research community. The UniProt ID of a query protein with an available AlphaFold model can now be used to start a calculation. Another important improvement is the Python re‐implementation of the entire computational pipeline, making it easier to maintain. This Python pipeline is now available for download as a standalone version. We demonstrate some of ConSurf's key capabilities by the analysis of caveolin‐1, the main protein of membrane invaginations called caveolae.
Identification of chemical constituents in pomegranate seeds based on ultra‐high‐performance supercritical fluid chromatography coupled with quadrupole time‐of‐flight mass spectrometry
Authors: Li Guoping , Chen Jing , Yang Qing , Yang Xuexin , Wang Penglong , Lei Haimin , Mi Ma , Ma Qiang 
Published: January 2023

Pomegranate seeds are a potential source of bioactive compounds. Nonetheless, most pomegranate seeds are discarded in the food processing industry, likely due to the lack of convincing data on their component analysis.MethodsTo reveal the main chemical constituents of pomegranate seeds, a reliable and sensitive method based on ultra‐high‐performance supercritical fluid chromatography coupled with electrospray ionization and quadrupole time‐of‐flight mass spectrometry (MS) was developed. A time‐dependent MSE data acquisition mode was applied to acquire the mass spectrometric data. The chemical constituents were identified by an automatic retrieval of a traditional Chinese medicine library and relevant literature.ResultsA total number of 59 compounds, including fatty acids, sterols, vitamins, cerebrosides, phospholipids, flavonoids, phenylpropanoids, and others, were tentatively identified. Their possible fragmentation pathways and characteristic ions were proposed and elucidated.ConclusionsThe findings of this study, along with the developed methodology, could provide a reference for basic research on the pharmacodynamic substances of pomegranate seeds and shed light on their potential nutritional and therapeutic applications in the future.
An improved strategy for identification and annotation of easily in‐sourced dissociation diterpene lactones from plant natural products: Taking Andrographis paniculata (Burm. f.) as an example
Authors: Wu Xingdong , Ding Hongwei , Zhang Zijia , Zheng Man , Ni Hui , Huang Zhiyun , Wu Wenyong , Long Huali , Zhou Yang , Li Feifei , Lei Min , Hou Jinjun , Wu Wanying , Guo Dean 
Published: January 2023

RationaleDiterpene lactones (DL) in Andrographis paniculata (AP) are known as “natural antibiotics” for their excellent antibacterial activity. During mass spectrometry (MS) analysis, the hydroxyl groups in the AP DL skeleton are prone to neutral loss of H2O, producing high in‐source fragment peaks and affecting the characterization of these components.MethodsMass tags were applied during the MS data acquisition step, and special adduct ion form was used to guide the data processing and characterization steps. Besides, the total number of characterized AP DLs significantly increased when combining the number of neutrally lost H2O from AP DLs, incorporating information on the diagnostic ions, and adopting molecular networks generated with the Global Natural Products Social Molecular Networking database.ResultsNinety‐nine DLs, comprising 6 monohydroxyl groups, 20 dihydroxyl groups, 27 trihydroxy groups, and 46 DLs with more than 3 hydroxyl groups, were characterized from AP. In addition, based on the characteristic fragments in the product ions (C3H4, Δm/z = 40.03 Da), it could be assumed that 90 DLs had the C19‐OH structure among the identified DLs. The current study provides a new approach for collecting, processing, and characterizing MS analysis of natural DLs prone to in‐source fragmentation.ConclusionsMS characterization of AP DLs was significantly improved, and many potential new compounds were identified in AP. This characterization provides new methods for the purification and identification of AP DLs.
SPINS: A structure priors aided inertial navigation system
Authors: Lyu Yang , Nguyen Thien‐Minh , Liu Liu , Cao Muqing , Yuan Shenghai , Nguyen Thien Hoang , Xie Lihua 
Published: January 2023

AbstractWe propose a navigation system combining sensor‐aided inertial navigation and prior‐map‐based localization to improve the stability and accuracy of robot localization in structure‐rich environments. Specifically, we adopt point, line, and plane features in the navigation system to enhance the feature richness in low‐texture environments and improve the localization reliability. We additionally integrate structure prior information of the environments to constrain the localization drifts and improve the accuracy. The prior information is called structure priors and parameterized as low‐dimensional relative distances/angles between different geometric primitives. The localization is formulated as a graph‐based optimization problem that contains sliding‐window‐based variables and factors, including Inertial Measurement Unit, heterogeneous features, and structure priors. A limited number of structure priors are selected based on the information gain to alleviate the computation burden. Finally, the proposed framework is extensively tested on synthetic data, public data sets, and, more importantly, on the real Unmanned Aerial Vehicle flight data obtained from both indoor and outdoor inspection tasks. The results show that the proposed scheme can effectively improve the accuracy and robustness of localization for autonomous robots in civilian applications.
The effect of a local mesh refinement on hydraulic modelling of river meanders
Authors: Bilgili Eray , Bomers Anouk , van Lente G. Jan‐Willem , Huthoff Fredrik , Hulscher Suzanne J. M. H. 
Published: January 2023

AbstractLarge‐scale river models are generally discretized by relatively large mesh cells resulting in bathymetry discretization errors and numerical effects. These hydraulic models are generally calibrated by altering the bed roughness to compensate for these errors and effects. Consequently, the calibrated roughness values are mesh‐dependent while generally local mesh refinements are executed after model calibration to study the effects of river interventions. This study shows both the errors caused by bathymetry discretization and numerical effects for locally refined meshes. First, schematised river meanders with a flat bed in the transverse flow direction are analysed to isolate the induced numerical effects by the mesh. Afterwards, a case study is considered to verify if similar mesh influences are found in natural river meanders. Curvilinear, triangular and hybrid (combination of curvilinear and triangular cells) meshes are used with different resolutions. The analysis shows that in the schematised river meanders lower depth‐averaged flow velocities and larger water depths are simulated with coarser meshes. In the case study, substantial differences in hydrodynamics between the meshes are obtained suggesting that the bathymetry discretization is more influential than the numerical effects. Finally, it was found that triangular meshes, and rivers with narrow meander bends, are most sensitive to mesh resolution. Especially in these cases, it is desirable to refine the mesh at the desired locations before model calibration.
Corrosion behaviour of additively manufactured 316L and CoCrNi
Authors: Malladi Sri Bala Aditya , Tam Pui Lam , Cao Yu , Guo Sheng , Nyborg Lars 
Published: January 2023

Alloys such as 316L and the medium‐entropy alloy CoCrNi are known for their excellent strength and corrosion properties. In the present study, bulk samples of 316L and CoCrNi (without and with 0.11 wt.% N) alloys fabricated using powder bed fusion laser beam (PBF‐LB) were tested in the as‐printed state for their corrosion behaviour in 0.5 M H2SO4 without and with added 3 wt.% NaCl. The tests were done using potentiodynamic measurements and the results were compared with those of the conventionally manufactured 316L. By means of angle‐resolved X‐ray photoelectron spectroscopy (ARXPS), the passive film characteristics were studied in terms of composition and film thickness. The 316L fabricated using PBF‐LB showed favourable passivation and corrosion behaviour as compared with its conventionally manufactured counterpart. It was observed that all the alloys fabricated using the PBF‐LB showed similar corrosion behaviour, but with CoCrNi and CoCrNi‐N showing better passivation behaviour than 316L alloys in the presence of NaCl. The ARXPS showed the presence of both hydroxide and oxides in all the alloys, with outer hydroxide layer and inner oxide layer. The ARXPS of both 316L alloys showed the expected presence of Cr–Fe oxide on the surface of as‐passivated samples, whereas the presence of sulphide was also depicted for the conventionally manufactured 316L, supposed to be detrimental to its corrosion behaviour. The CoCrNi‐based alloys showed the presence of only Cr2O3 layer in their passivated state, with Co and Ni acting as noble elements in the formation of the passive film. Upon micro‐alloying with the strong solid solution strengthener N, CoCrNi did not show any negative effect on either the corrosion behaviour or the passivation behaviour of the alloy.
Synergistic Effect of Hydroxyl and Carboxyl Groups on Promoting Nanoparticle Occlusion within Calcite
Authors: Zhang Jiahao , Xiong Biao , Fu Ziyu , Ning Yin , Li Dan 
Published: January 2023

AbstractDirect occlusion of guest nanoparticles into host crystals enables the straightforward preparation for various of nanocomposite materials with emerging properties. Therefore, it is highly desirable to elucidate the ‘design rules’ that govern efficient nanoparticle occlusion. Herein, a series of sterically‐stabilized nanoparticles are rationally prepared, where the surface stabilizer chains of such nanoparticles are composed of either poly(methacrylic acid), or poly(glycerol monomethacrylate), or poly((2‐hydroxy‐3‐(methacryloyloxy)propyl)serine). Systematic investigation reveals that hydroxyl groups and carboxyl groups play a synergistic role in driving nanoparticle incorporation into calcite crystals, where the hydroxyl groups enhance colloidal stability of the nanoparticles and the carboxyl groups provide binding sites for efficient occlusion. The generality of these findings is further validated by extending it to polymer‐stabilized gold nanoparticles. This study demonstrates that precision synthesis of polymer stabilizers comprising of synergistic functional groups can significantly promote nanoparticle occlusion, thus enabling the efficient construction of organic‐inorganic hybrid materials via nanoparticle occlusion strategy.
“Through the looking‐glass …” An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications
Authors: Dalla Palma Stefano , van Asseldonk Chiel , Catolino Gemma , Di Nucci Dario , Palomba Fabio , Tamburri Damian A. 
Published: January 2023

AbstractInfrastructure‐as‐code (IaC) helps keep up with the demand for fast, reliable, high‐quality services by provisioning and managing infrastructures through configuration files. Those files ensure efficient and repeatable routines for system provisioning, but they might be affected by code smells that negatively affect quality and code maintenance. Research has broadly studied code smells for traditional source code development; however, none explored them in the “Topology and Orchestration Specification for Cloud Applications” (TOSCA), the technology‐agnostic OASIS standard for IaC. In this paper, we investigate a prominent traditional implementation code smell potentially applicable to TOSCA: Large Class, or “Blob Blueprint” in IaC terms. We compare metrics‐based and unsupervised learning‐based detectors on a large dataset of manually validated observations related to Blob Blueprints. We provide insights on code metrics that corroborate previous findings and empirically show that metrics‐based detectors perform highly in detecting Blob Blueprints. We deem our results put forward a new research path toward dealing with this problem, for example, in the scope of fully automated service pipelines.
Development and validation of an ion chromatography‐ultraviolet method for determination of uric acid in the delactosed permeate
Authors: Tian Tian , Ormond Lindsey , Saini Charanjit , Liu Yan 
Published: January 2023

AbstractIn this study, we developed and validated a new analytical method for the quantitative evaluation of uric acid in delactosed permeate using ion chromatography coupled with an ultraviolet detector. Uric acid was extracted from delactosed permeate samples by diluted hydroxide solution at room temperature. The separation was carried out on a high‐capacity anion‐exchange column by isocratic elution with 50 mM potassium hydroxide. Uric acid was detected at 295 nm. The results from this study demonstrate that the new ion chromatography‐ultraviolet method facilitates both the resolution and the detection of uric acid and provides a highly accurate and sensitive determination of uric acid in delactosed permeate samples with minimal sample preparation effort. The new method provided an excellent range of analyte response linearity in the 2.5–255.6 ng range with R2 > 0.99. The limit of detection for uric acid obtained was 0.04 mg/kg in 1 mM sodium hydroxide. Intraday and interday variabilities were less than 3%, and the mean recoveries (%) of the uric acid spiked in two types of delactosed permeate were between 100.4% and 103.9%. This method was successfully applied to determine uric acid amounts in ten delactosed permeate samples.
Corporeal Interactions inVRChat: Situational Intensity and Body Synchronization
Authors: Krell Felix , Wettmann Nico 
Published: January 2023

Erving Goffman's work on interaction in everyday life focuses on joint spatio‐temporal and face‐to‐face situations and denies the constitution of social situations via mediatized interaction. In contrast, we argue that shared immersive media such as Social Virtual Reality enable intense, delocalized forms of co‐present interactions that constitute closeness and intimacy. By discussing Goffman in the context of current works that open up his perspective for mediatization, we present an understanding of social situations that focuses on intensity and synchronized embodiment—physical, digital, and corporeal. On the Social VR platform VRChat, synchronized bodies allow for intimate corporeal practices, such as cuddling, dancing, or cybersex. Virtual Reality technology facilitates delocalized forms of affective‐bodily interaction, thereby contributing to the social negotiation of mediatized closeness and intimacy—despite physical distance. Our findings are based on a digital ethnographic analysis of lifeworlds and practices of enthusiast VRChat‐users, combined with qualitative semi‐structured interviews.
In and Out of the Unknown: Lessons from Immigrant Families Promoting Multiliteracies During the COVID‐19 Pandemic
Authors: Li Guofang , Lin Zhen 
Published: January 2023

AbstractHow has the COVID‐19 pandemic changed the home literacy environment, parental engagement, and home‐school communications for children and families from culturally and linguistically diverse backgrounds? Data on the experiences of 231 Chinese‐Canadian immigrant families with K‐2 children revealed that emergency remote learning affected the home literacy environment in complex ways. While some experienced a decrease in mainstream language exposure, others also witnessed a decline in home language use and literacy engagement due to the closure of heritage language schools and absence of grandparents. Parents also differed in their ability, resources, and confidence level in supporting multiliteracies development at home during the pandemic. Moreover, there existed persistent barriers to effective home‐school communications despite the affordances of remote learning. The findings have important implications for both immigrant families and mainstream teachers in working collaboratively to support the children's needs in multiliteracies development.