bluuebunny/crossref_metadata_2025_split huggingface dataset:
The aortic root, do we see the ‘hole’ picture?
Authors: Belitsis Georgios , Finch Jonathan Robert 
Published: June 2024

AbstractThe aortic root is the segment of the aorta between the left ventricular outflow tract and the sinotubular junction of the ascending aorta, and, on one level, is merely a tube, with a valve at its base, dynamic structures below it, and notable for having the life-limiting coronary arteries originate within its sinuses. However, we propose that the perception of the aortic root has been historically grossly over-simplified by virtue of a bias towards its internal aspect, in terms of coronary ostia and subvalvar relationships through the fibrous skeleton and in so-doing a myocardial component on the external aspect has all but been ignored. This myocardial mass, a component of the left ventricular free wall, is sometimes termed the ‘left ostial process’ but appears to be rarely, if ever, considered by anatomists, cardiologists, and surgeons alike. By virtue of its direct continuity to the aortic root and proximal left coronary artery, it may have unique roles and, at the very least, deserves greater recognition and investigation. Herein, we propose that it could play a crucial role in cardiac embryology including coronary dominance, and may afford a physiological advantage, to the extent that it may have been selected for in evolutionary terms.
Consortium blockchain based secure and efficient data aggregation and dynamic billing system in smart grid
Authors: Oksuz Ozgur 
Published: June 2024

AbstractIn a smart grid, collected electricity consumption periodically from smart meters allow entities to bill the customers, power company to operate the grid successfully, and users to control the use of their appliances. However, energy consumptions of users should be protected since the data provides the user’s daily habit that an adversary uses the data to extract useful information about the users. Moreover, users’ identities should not be disclosed to untrusted entities since the untrusted entities map identities to their real identities. In this paper, we propose a system that protects users’ data privacy using multi-pseudorandom identities and a randomization technique. Moreover, the proposed work provides fast authentication for smart meters to send their readings to data aggregators. Furthermore, the proposed work is based on consortium blockchain to eliminate a single point of failure and provides transparency of messages and operations. In addition, we use dynamic billing and pricing mechanism for the users to see their bills.
NMR chemical shift assignment of Drosophila odorant binding protein 44a in complex with 8(Z)-eicosenoic acid
Authors: Cotten Myriam L. , Starich Mary R. , He Yi , Yin Jun , Yuan Quan , Tjandra Nico 
Published: June 2024

AbstractThe odorant binding protein, OBP44a is one of the most abundant proteins expressed in the brain of the developing fruit fly Drosophila melanogaster. Its cellular function has not yet been determined. The OBP family of proteins is well established to recognize hydrophobic molecules. In this study, NMR is employed to structurally characterize OBP44a. NMR chemical shift perturbation measurements confirm that OBP44a binds to fatty acids. Complete assignments of the backbone chemical shifts and secondary chemical shift analysis demonstrate that the apo state of OBP44a is comprised of six α-helices. Upon binding 8(Z)-eicosenoic acid (8(Z)-C20:1), the OBP44a C-terminal region undergoes a conformational change, from unstructured to α-helical. In addition to C-terminal restructuring upon ligand binding, some hydrophobic residues show dramatic chemical shift changes. Surprisingly, several charged residues are also strongly affected by lipid binding. Some of these residues could represent key structural features that OBP44a relies on to perform its cellular function. The NMR chemical shift assignment is the first step towards characterizing the structure of OBP44a and how specific residues might play a role in lipid binding and release. This information will be important in deciphering the biological function of OBP44a during fly brain development.
Regulating microstructure and composition by carbonizing in-situ grown metal-organic frameworks on cotton fabrics for boosting electromagnetic wave absorption
Authors: Jin Jie , Long Hongsen , Liu Hu , Guo Yan , Bai Tiantian , Xu Ben Bin , Amin Mohammed A. , Qiu Hua , Helal Mohamed H. , Liu Chuntai , Shen Changyu , El-Bahy Zeinhom M. , Guo Zhanhu 
Published: June 2024

AbstractHigh-temperature carbonized metal-organic frameworks (MOFs) derivatives have demonstrated their superiority for promising electromagnetic wave (EMW) absorbers, but they still suffer from limited EMW absorption capacity and narrow bandwidth. Considering the advantage of microstructure and chemical composition regulation for the design of EMW absorber, hierarchical heterostructured MoS2/CoS2-Co3O4@cabonized cotton fabric (CF) (MCC@CCF) is prepared by growing ZIF-67 MOFs onto CF surface, chemical etching, and carbonization. Aside from the dual loss mechanism of magnetic-dielectric multicomponent carbonized MOFs, chemical etching and carbonization process can effectively introduce abundant micro-gap structure that can result in better impedance matching and stronger absorption capacity via internal reflection, doped heteroatoms (Mo, N, S) to supply additional dipolar polarization loss, and numerous heterointerfaces among MoS2, CoS2, Co3O4, and CCF that produce promoted conduction loss and interfacial polarization loss. Thus, a minimal reflection loss of −52.87 dB and a broadest effective absorption bandwidth of 6.88 GHz were achieved via tunning the sample thickness and filler loading, showing excellent EMW absorption performances. This research is of great value for guiding the research on MOFs derivatives based EMW absorbing materials.
Optimization of precharge placement in sheet molding compound process
Authors: Ebrahimian Fariba , Rodriguez Sebastian , Di Lorenzo Daniele , Chinesta Francisco 
Published: June 2024

AbstractThis study aims to provide precise predictions for the compression of reinforced polymers during the sheet Molding Compound (SMC) process, ensuring the attainment of a predefined structure while preventing material overflow during the process. The primary challenge revolves around identifying the optimal initial shape to prevent material rebound during the process. To confront this issue, a numerical model is utilized, faithfully simulating the SMC process and forming the foundation for our investigations. Furthermore, to optimize the pre-fill stage, a surrogate model is proposed to enhance modeling efficiency, and then an inverse analysis method is applied. This approach of minimizing material rebound during the SMC process results in a reliable metamodel to predict an initial mass shape accurately and at a low computational cost, thus ensuring the squeezed material fits the mold shape.
Exploring an Organizational-Level Mindfulness-Based Intervention in Private Workplace Settings
Authors: Bonde Emilie H. , Mikkelsen Eva G. , Fjorback Lone O. , Juul Lise 
Published: June 2024

Abstract
Objectives
The primary objective of this study was to investigate the feasibility assessed by reach and dose of an organizational-level workplace-adapted mindfulness-based intervention (MBI). Secondarily, potential changes in mental health and organizational outcomes were evaluated.

Method
Using a quasi-experimental design without a control group, the study included four small- and medium-sized private companies. A three-step MBI was delivered live online via Zoom. Feasibility was assessed using data on reach (number of participants) and dose (number of sessions attended). Data on mental health and organizational outcomes were collected at baseline and 3- and 12-month follow-up and analyzed using mixed-effects linear regression for continuous variables, and mixed-effects logistic regression for dichotomous variables.

Results
In total, 278 (75.54%) employees and managers participated in an introductory session, and 169 (45.92%) signed up for a workplace-adapted 10-week MBSR course, while 3 (75.00%) companies participated in an implementation workshop. Among MBSR-participants, the median dosage was 9/10 sessions in three companies, and 8/10 in one company. Only small statistically non-significant changes were seen in mental health outcomes, such as tendencies to decreased perceived stress and increased well-being at 3-month follow-up. However, these tendencies were not sustained at 12-month follow-up. Yet, a positive impact was seen on respondents’ ability to decenter, and thus observe one’s thoughts and feelings, at both 3- and 12-month follow-up. Organizational impact at 3-month follow-up varied across outcome measures, with a statistically significant reduced likelihood of occasionally experiencing negative acts. However, at 12-month follow-up, this reduction was no longer statistically significant, and measures of social capital and psychological safety had generally decreased.

Conclusions
This workplace MBI is deemed feasible. However, the potential impacts on mental health and organizational outcomes remain unclear.

Preregistration
This study is registered at ISRCTN Registry (ISRCTN93567471).
The potent potential of MFAP2 in prognosis and immunotherapy of triple-negative breast cancer
Authors: Huang Jing , Xu Yuting , Qi Shengnan , Zheng Qi , Cui Can , Liu Lei , Liu Fan 
Published: June 2024

Abstract
Backgrounds
Microfibril-associated protein 2 (MFAP2) is a protein presenting in the extracellular matrix that governs the activity of microfibrils through its interaction with fibrillin. While the involvement of MFAP2 in metabolic disorders has been documented, its expression and prognostic significance in triple-negative breast cancer (TNBC) remain unexplored.

Methods
We acquired datasets pertaining to breast cancer (BC) from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Next, a Venn diagram was used to identify the differentially expressed genes (DEGs). The DEGs were used to perform Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein–protein interaction (PPI), immune and survival analysis. The expressions of MFAP2, PD-1 and PD-L1 were examined by immunohistochemistry and western blot and their relationship with clinical pathological parameters were analyzed by clinical specimen samples from patients with TNBC. Tumor Immune Estimation Resource (TIMER, https://cistrome.shinyapps.io/timer/) was adopted to calculate the immune infiltration level of TNBC. The link between gene expression and tumor mutational burden (TMB) was described using Spearman’s correlation analysis.

Results
We identified 66 differentially expressed genes (DEGs) that were up-regulated. Among these DEGs, MFAP2 was found to be overexpressed in TNBC and was associated with a lower probability of survival. This finding was confirmed through the use of immunohistochemistry and western blot techniques. Additionally, MFAP2 was found to be related to various pathological parameters in TNBC patients. Mechanistically, gene set enrichment analysis (GSEA) revealed that MFAP2 primarily influenced cellular biological behavior in terms of epithelial mesenchymal transition, glycolysis, and apical junction. Notably, MFAP2 expression was positively correlated with the abundance of macrophages, while a negative correlation was observed with the abundance of B cells, CD4 + T cells, CD8 + T cells, neutrophils and dendritic cells through immune analysis. Furthermore, it was observed that MFAP2 displayed a negative correlation not only with tumor mutational burden (TMB), a recognized biomarker for PD-1/PD-L1 immunotherapy, but also with PD-L1 in samples of TNBC.

Conclusion
MFAP2 may be an important prognostic biomarker for TNBC, as well as a viable target for immunotherapy in this disease.
The relationship between contrast-enhanced computed tomography radiomics features and mitosis karyorrhexis index in neuroblastoma
Authors: Chen Xin , Wang Haoru , Xia Yuwei , Shi Feng , He Ling , Liu Enmei 
Published: June 2024

Abstract
Objective
Mitosis karyorrhexis index (MKI) can reflect the proliferation status of neuroblastoma cells. This study aimed to investigate the contrast-enhanced computed tomography (CECT) radiomics features associated with the MKI status in neuroblastoma.

Materials and methods
246 neuroblastoma patients were retrospectively included and divided into three groups: low-MKI, intermediate-MKI, and high-MKI. They were randomly stratified into a training set and a testing set at a ratio of 8:2. Tumor regions of interest were delineated on arterial-phase CECT images, and radiomics features were extracted. After reducing the dimensionality of the radiomics features, a random forest algorithm was employed to establish a three-class classification model to predict MKI status.

Results
The classification model consisted of 5 radiomics features. The mean area under the curve (AUC) of the classification model was 0.916 (95% confidence interval (CI) 0.913–0.921) in the training set and 0.858 (95% CI 0.841–0.864) in the testing set. Specifically, the classification model achieved AUCs of 0.928 (95% CI 0.927–0.934), 0.915 (95% CI 0.912–0.919), and 0.901 (95% CI 0.900–0.909) for predicting low-MKI, intermediate-MKI, and high-MKI, respectively, in the training set. In the testing set, the classification model achieved AUCs of 0.873 (95% CI 0.859–0.882), 0.860 (95% CI 0.852–0.872), and 0.820 (95% CI 0.813–0.839) for predicting low-MKI, intermediate-MKI, and high-MKI, respectively.

Conclusions
CECT radiomics features were found to be correlated with MKI status and are helpful for reflecting the proliferation status of neuroblastoma cells.
Bright X/$$\gamma$$-ray emission and lepton pair production by strong laser fields: a review
Authors: Yu Tong-Pu , Liu Ke , Zhao Jie , Zhu Xing-Long , Lu Yu , Cao Yue , Zhang Hao , Shao Fu-Qiu , Sheng Zheng-Ming 
Published: June 2024

AbstractThe advent of high-power ultra-short laser pulses opens up new frontiers of relativistic non-linear optics, high energy density physics and laboratory astrophysics. As the laser electric field in the particle rest frame approaches the Schwinger field $$E_{cr} = 1.3 \times 10^{18}\,\textrm{V} \textrm{m}^{-1}$$

E

cr

=
1.3
×

10
18

V

m

-
1

, the laser interaction with matter enters into the quantum electrodynamics (QED) dominated regime, where extremely rich non-linear phenomena take place, such as a violent acceleration of charged particles, copious lepton pair production, and ultra-brilliant X/$$\gamma$$
γ
-ray emission. Among them, X/$$\gamma$$
γ
-ray emission based on the laser-plasma is generally characterized by large photon flux, high brilliance, small source size, and high photon energy, which can even annihilate into lepton pairs by colliding with photons. Though various schemes have been proposed for bright high-energy photon emission and lepton generation and acceleration, many predictions remain to be confirmed and thoroughly tested in experiments. In this review, we introduce recent advances in bright X/$$\gamma$$
γ
-ray radiation and lepton pair generation in the QED regime by the interaction of relativistic intense lasers with various plasma targets. The characteristics of the radiation and secondary particles generated via these schemes are summarized, and the experimental progresses are elaborated.
Whole-genome resequencing of tea grey geometrid provides insights into their population structure and adaptation to tea crops
Authors: Yuan Ruizhong , Chen Yusi , Zhou Xiaogui , Shu Xiaohan , Lu Zhaohe , Tang Pu , Ye Xiqian , Wang Zhizhi 
Published: June 2024

AbstractTea grey geometrid, Ectropis grisescens (Lepidoptera: Geometridae), is a chewing defoliator of high fecundity and gluttony, whose larvae heavily consume leaves and shoots, and consequently cause significant losses to tea crops in terms of both yield and quality. Nevertheless, a lack of population genome information has hindered previous research on the species as a tea crop pest. Here, we re-sequenced genomes of 43 tea grey geometrid individuals representing 13 distinct geographic regions and 12 individuals of its sibling species, the tea geometrid Ectropis obliqua (Lepidoptera: Geometridae), collected from four different sites in China. A genomic variation atlas of 627,569 single-nucleotide polymorphisms (SNPs) from whole-genome resequencing of 43 individuals was identified. Surprisingly, the populations of the tea grey geometrid (EG) are found to be assigned into two distinct subpopulations, EGA and EGB. The sample locations indicate that the subpopulation EGA is mainly distributed in the region of Zhejiang Province, where it co-occurred with tea geometrids (EO). The EGB subpopulation is distributed in the southern and central areas of China. Demographic history analysis has revealed fluctuations in population size of the tea grey geometrid over time, but following tea cultivation, the population size has started to stabilize. Meanwhile, the migration event analysis has uncovered a significant migration event between EGA and EO. Furthermore, genes (such as P-glycoprotein and lactase) under selection show possible metabolic adaptation of tea grey geometrid to the tea plants. These findings provide a broader foundation and additional resources for understanding the geometrid evolution and the genetic mechanisms underlying agriculturally important traits.
Space‐Time Monitoring of Seafloor Velocity Changes Using Seismic Ambient Noise
Authors: Guo Peng , Saygin Erdinc , Kennett Brian 
Published: June 2024

AbstractWe use seismic ambient noise recorded by dense ocean bottom nodes (OBNs) in the Gorgon gas field, Western Australia, to compute time‐lapse seafloor models of shear‐wave velocity. The extracted hourly cross‐correlation (CC) functions in the frequency band 0.1–1 Hz contain mainly Scholte waves with very high signal‐to‐noise ratio. We observe temporal velocity variations (dv/v) at the order of 0.1% with a peak velocity change of 0.8% averaged from all station pairs, from the conventional time‐lapse analysis with the assumption of a spatially homogeneous dv/v. With a high‐resolution reference (baseline) model from full waveform inversion of Scholte waves, we present an elastic wave equation based double‐difference inversion (EW‐DD) method, using arrival time differences between the reference and time‐lapsed Scholte waves, for mapping temporally varying dv/v in the heterogeneous subsurface. The time‐lapse velocity models reveal increasing/decreasing patterns of shear‐wave velocity in agreement with those from the conventional analysis. The velocity variation exhibits a ∼24‐hr cycling pattern, which appears to be inversely correlated with the diurnal variations in sea level height, possibly associated with dilatant effects for porous, low‐velocity shallow seafloor and rising pore pressure with higher sea level. This study demonstrates the feasibility of using dense passive seismic surveys and wave‐equation time‐lapse inversion for quantitative monitoring of subsurface property changes in the horizontal and depth domain.
Sources and Flux of Dissolved Inorganic Carbon in the Hydrothermally Active Corner of a Backarc Basin (Southwestern Okinawa Trough)
Authors: Lin Yu‐Shih , Huang Wei‐Jen , Lin Li‐Hung , Lan Tefang , Shao Huan‐Jie , Su Chih‐Chieh , Fu Ke‐Hsien , Lee Hsiao‐Fen , Huang Chun‐Chieh , Wang Bo‐Shian , Takahata Naoto , Sano Yuji , Chen Song‐Chuen , Wang Yunshuen , Lee I‐Huan 
Published: June 2024

AbstractCO2 released from subduction zones plays a vital role in the tectonic carbon cycle. However, the contribution of submarine backarc components to carbon emissions remains poorly understood compared to subaerial arc volcanos. This study utilized a combination of geochemical and hydrodynamic approaches to investigate the sources and flux of dissolved inorganic carbon (DIC) in the deep basin of the southwestern Okinawa Trough. Most deep‐water (depth ≥1,000 m) samples, even those retrieved from sites distant from active venting, exhibited mild geochemical anomalies of elevated 3He/4He ratios and higher DIC content than reference sites. Hydrodynamic observations using bottom‐mounted acoustic instruments in the deep basin revealed strong tidal currents and enhanced turbulent mixing. These findings suggest that active solute dispersal and mixing are responsible for the prevalence of mild geochemical anomalies in the basin. Mixing models indicated that hydrothermal vent fluids are the primary source of excess 3He and DIC above background levels in the deep basin, whereas both CO2 and mineral acid in hydrothermal fluids cause excess acidity. Based on hydrodynamic and geochemical data, a box model estimated a hydrothermal DIC flux of 0.62 ± 1.40 × 1010 mol y−1, equivalent to 40% of CO2 emissions from persistently degassing volcanos in the Ryukyu Arc. Our results suggest that submarine carbon emissions are quantitatively important in subduction systems with subaqueous backarc components.
The Importance of Contemporaneous Wind and pCO2 Measurements for Regional Air‐Sea CO2 Flux Estimates
Authors: Nickford S. , Palter J. B. , Mu L. 
Published: June 2024

AbstractFew observational platforms are able to sustain direct measurements of all the key variables needed in the bulk calculation of air‐sea carbon dioxide (CO2) exchange, a capability newly established for some Uncrewed Surface Vehicles (USVs). Western boundary currents are particularly challenging observational regions due to strong variability and dangerous sea states but are also known hot spots for CO2 uptake, making air‐sea exchange quantification in this region both difficult and important. Here, we present new observations collected by Saildrone USVs in the Gulf Stream during the winters of 2019 and 2022. We compared Saildrone data across co‐located vehicles and against the Pioneer Array moorings to validate the data quality. We explored how CO2 flux estimates differ when all variables needed to calculate fluxes from the bulk formulas are simultaneously measured on the same platform, relative to the situation where in situ observations must be combined with publicly‐available data products. We systematically replaced variables in the bulk formula with those often used for local and regional flux estimates. The analysis revealed that when using the ERA‐5 reanalysis wind speed in place of in situ observations, the ocean uptake of CO2 is underestimated by 8%; this underestimate grows to 9% if the NOAA Marine Boundary Layer atmospheric CO2 product and ERA‐5 significant wave height are also used in place of in situ observations. Overall our findings point to the importance of collecting contemporaneous observations of wind speed and ocean pCO2 to reduce biases in estimates of regional CO2 flux, especially during high wind events.