bluuebunny/crossref_metadata_2025_split huggingface dataset:
Support Experiences and Wishes of Bereaved Parents After the Loss of Their Child to Cancer
Authors: Vokinger Anna Katharina , Pedraza Eddy Carolina , Tinner Eva Maria , von Bueren André Oscar , Scheinemann Katrin , Bergstraesser Eva , Michel Gisela , De Clercq Eva 
Published: November 2024

ABSTRACTIntroductionThe death of a child has a tremendous impact on parents’ lives. The experience of parents who have lost a child to cancer may differ from other bereavement experiences, including other childhood and adulthood causes of death, because of the uncertainty of the prognosis, the aggressive treatment, and the potential for regret about treatment decisions. Bereavement care remains scarce, and effective interventions to meet the diverse needs of parents have not been defined.ObjectiveTo provide insights on bereaved parents’ experiences, their needs, and wishes of support following the loss of their child to cancer.MethodsWe conducted 18 qualitative, in‐depth, semi‐structured interviews with 23 bereaved parents (seven fathers, 16 mothers), and used reflexive thematic analysis to analyze the data.ResultsParents received both informal and professional support. Regarding informal support, parents expressed a high level of ambivalence rooted in grief illiteracy. Parents also recognized their own struggles to express what forms of informal support they would have liked to receive. Support provided by healthcare professionals, institutions, and organizations involved in the children's care or in bereavement was inconsistent due to personnel time constraints, interpersonal relationships, or disruptions due to the COVID‐19 pandemic. These factors could result in parents not having access to certain forms of support or not receiving long‐term support.ConclusionImproving grief literacy may strengthen informal support and make discussions of grief and death less taboo. Institutional policies, training, and networking may help to ensure that support provided by healthcare professionals, institutions, and organizations is less vulnerable to inconsistencies.
Tunable negative permittivity behavior and excellent electromagnetic shielding performance of pyrolytic carbon‐glass fiber felt/epoxy resin metacomposites
Authors: Cui Heng , Cheng Chuanbing , Hu Zhiyuan , Wang Xinle , Ma Rongwei , Liu Yuanhui , Li Chenxu , Li Yibo , Wang Zhihao , Chen Min , Fan Runhua 
Published: November 2024

AbstractEffective and accurate adjustment of negative permittivity behavior is worthy of further investigation. Herein, pyrolytic carbon‐glass fiber felt/epoxy resin (PyC‐GFF/ER) metacomposites with tunable negative permittivity were prepared using an impregnation‐calcination method. The permittivity, electrical conductivity, and electromagnetic shielding performance of the polymer metacomposites were investigated. Due to the inherent three‐dimensional structural network of GFF, the PyC adhering to the surface of glass fiber easily formed a conductive network in the composites. As the PyC content increased in the ER composites, the conductivity mechanism changed from hopping conduction to metal‐like conduction. The ER composites with high PyC contents showed negative permittivity behavior and the epsilon‐near‐zero response owing to the low frequency plasma state of free electrons in the PyC‐conduction network. By controlling the PyC content, the negative permittivity behavior of ER composites could be effectively tuned. With the increase in PyC content, the values of negative permittivity increased, and the epsilon‐near‐zero frequency shifted to a higher frequency. Moreover, the ER composites with high PyC contents showed excellent electromagnetic shielding properties (29.4 dB) at X‐band. This work not only provided a feasible method to realize the tunable negative permittivity of polymer metacomposites, but also promoted its application in the microwave field.Highlights
The pyrolytic carbon‐glass fiber felt/epoxy resin composites were fabricated.
The negative permittivity was first reported in the PyC‐GFF/ER composites.
Tunable negative permittivity could be well explained by Drude model.
The polymer composites had excellent electromagnetic shielding property.
Endophytic Bacillus velezensis GsB01 controls Gleditsia sinensis wilt by secreting antifungal metabolites and modulates symbiotic microbiota within trees
Authors: Zeng Jian‐Yong , Chen Kai‐Di , Wei Bu‐Fei , Cui Ze‐Zhao , Xu Zi‐Yi , Wang Hua‐Ling , Li Hui‐Ping 
Published: November 2024

AbstractBACKGROUNDIdentifying effective biological control agents against fungal pathogens and determining their mechanisms of action are important in the control of plant diseases.RESULTSIn this study, we isolated an endophytic bacterial strain, GsB01, from the branches of asymptomatic Gleditsia sinensis. Multi‐locus sequence analysis identified the strain as Bacillus velezensis. GsB01 exhibited significant antifungal activity against Thyronectria austroamericana, the causative agent of G. sinensis wilt. Liquid chromatography‐mass spectrometry identified four consistently present antimicrobial compounds in GsB01 metabolite fractions with high antifungal activity: macrolactin A, bacillaene A, surfactin, and iturin. GsB01's active metabolite fractions altered the metabolic profiles of T. austroamericana, disrupting seven pathways, including arginine biosynthesis, nucleotide metabolism, purine metabolism, and the pentose phosphate pathway. Furthermore, absolute quantitative polymerase chain reaction analysis suggested that GsB01 may increase the abundance of endophytic bacteria in G. sinensis. The 16S rRNA amplicon sequencing revealed changes in the endophytic landscape in stems and roots following GsB01 introduction, particularly with significant variation in the dominant bacterial genera within the stems.CONCLUSIONThe study highlights GsB01's potential against plant wilt and suggests that its antifungal activity is achieved by secreting antifungal metabolites. The study also recorded changes in the symbiotic microbiota within trees that had been infected with a pathogenic fungus and subsequently treated with an endophytic antagonistic bacterial strain. © 2024 Society of Chemical Industry.
Synthesis and antifungal activity of novel amide derivatives from quinic acid against the sweet potato pathogen Ceratocystis fimbriata
Authors: Jiang Yong‐Hui , Shi Xin‐Chi , Wu Ting , Du Hao , Pang Yi‐Bo , Zhou Rong , Yin Hong‐Ping , Herrera‐Balandrano Daniela D , Yang Dong‐Jing , Lu Ai‐Min , Laborda Pedro , Polo Victor , Wang Su‐Yan 
Published: November 2024

AbstractBACKGROUNDCeratocystis fimbriata is a fungal pathogen that infects sweet potato roots, producing enormous economic losses. Cyclic polyhydroxy compound quinic acid is a common metabolite synthesized in plant tissues, including sweet potato tubers, showing weak antifungal properties. Although several O‐acylated quinic acid derivatives have been synthesized and found in nature and their antifungal properties have been explored, derivatives based on modification of the carboxylic acid have never been evaluated.RESULTSIn this study, amide derivatives were synthesized via linkage of amines with the carboxylic acid moiety of quinic acid. Derivatives with high dipolar moments and a low number of rotatable bonds showed greater antifungal activities toward C. fimbriata in vitro than quinic and chlorogenic acids. Derivative 5b, which was synthesized by coupling p‐aminobenzoic acid (pABA) with quinic acid, had the greatest antifungal activity. 5b showed iron(II)‐chelating properties and reduced ergosterol content in C. fimbriata cells, causing irregularities in the fungal cell wall and inhibiting conidia agglutination. Application of 3 mm 5b reduced black rot symptoms in sweet potatoes by 70.1%.CONCLUSIONSCollectively, derivatization of the carboxylic acid from quinic acid was demonstrated to be a suitable strategy to improve the antifungal properties of this compound. This study reveals a new efficient strategy for management of the sweet potato pathogen C. fimbriata. © 2024 Society of Chemical Industry.
Mechanisms for the Spin‐State Switching of Strapped Ni‐Porphyrin Complexes Deposited on Metal Surfaces: Insights from Quantum Chemical Calculations
Authors: Montenegro‐Pohlhammer Nicolás , Sánchez‐de‐Armas Rocío , Gruber Manuel , Calzado Carmen J. 
Published: November 2024

AbstractThe incorporation of molecular switches on nanodevices requires both the intactness of the molecule once deposited on a substrate and the persistence of the reversible switching feature. Recently, the reversible spin‐switching of strapped Ni(II)‐porphyrin complexes deposited on Ag(111) surface is demonstrated with low‐temperature scanning tunneling microscopy (STM). The spin transition is accompanied by the coordination change of the metal center, a phenomenon denominated in coordination‐induced spin‐state switching (CISSS). In this contribution, the spin switching of the deposited strapped Ni‐porphyrin molecules using different quantum chemistry approaches is explored. This calculations inform about the geometry and electronic structure of the adsorbed molecules and the origin of the voltage‐dependent switching promoted by the STM tip. Two different mechanisms are inspected to elucidate the key role of the tip, mainly the electron injection between the tip and the molecule and the differential stabilization of the two spin states by the applied electric field between the tip and the silver surface. This study puts in evidence the relevance of the pyridine ligand contained in the strap in the transport properties as in the CISSS process itself.
Liquid‐Phase Fabrication of Janus 2D Materials: Defect‐Rich MoS2 Ultrathin Layers Asymmetrically Decorated with Au Nanoparticles
Authors: Vassilyeva Natalia V. , Forment‐Aliaga Alicia , Coronado Eugenio 
Published: November 2024

AbstractAsymmetrically decorated nanoparticles (NPs), also known as “Janus nanoparticles”, possess at least two differently functionalized surfaces. This coexistence results in novel features that surpass the inherited benefits of the initial counterparts. Despite significant advances in spherical morphologies, research on Janus two‐dimensional (2D) materials is limited, as fabrication strategies primarily focus on dry deposition techniques. To produce Janus 2D materials in large quantities, solution‐based techniques are proposed. However, this approach remains largely unexplored for 2D materials other than graphene and its derivatives, and it yields Janus 2D materials in very low amounts. This study develops a liquid‐phase fabrication strategy for the asymmetric decoration of MoS2 ultrathin layers with gold nanoparticles. This approach builds on previous advances in the asymmetric functionalization of spherical nanoparticles, using SiO2 microbeads as a masking template. Interestingly, the photoluminescence (PL) spectrum of the processed material is unusually dominated by the B exciton emission. The reported versatile method has proven to be scalable, enabling the production of 2D Janus flakes in appreciable quantities, whether as 1T or 2H‐polytypes. Overall, the novel synthetic strategy is highly adaptable and can be extended to a variety of other 2D materials and functionalizing agents.
Fluorine‐Doping Carbon‐Modified Si/SiOx to Effectively Achieve High‐Performance Anode
Authors: You Zhixian , Lin Cheng , Zheng Pingping , Li Jingxuan , Feng Qian , Tao Jianming , Zheng Yongping , Lin Yingbin , Huang Zhigao , Li Jiaxin 
Published: November 2024

AbstractTo address the significant challenges encountered by silicon‐based anodes in high‐performance lithium‐ion batteries (LIBs), including poor cycling stability, low initial coulombic efficiency (ICE), and insufficient interface compatibility, this work innovatively prepares high‐performance Si/SiOx@F‐C composites via in situ coating fluorine‐doping carbon layer on Si/SiOx surface through high‐temperature pyrolysis. The Si/SiOx@F‐C electrodes exhibit superior LIB performance with a high ICE of 79%, exceeding the 71% and 43% demonstrated by Si/SiOx@C and Si/SiOx, respectively. These electrodes also show excellent rate performance, maintaining a capacity of 603 mAhg−1 even under a high current density of 5000 mAg−1. Notably, the Si/SiOx@F‐C electrode sustains a high reversible capacity of 829 mAh g−1 at 1000 mA g−1 over 1400 cycles, and 588 mAhg−1 at 3000 mAg−1 even over 2400 cycles, capacity retention of up to 82.12%. Comprehensive characterization and analysis of the fluorine‐doped carbon layer reveal its role in enhancing electrical conductivity and preventing structural degradation of the material. The abundant fluorine in the coating layer significantly increases the LiF concentration in the solid electrolyte interface (SEI) film, improving interfacial compatibility and overall lithium storage performance. This method is both straightforward and effective, providing a promising blueprint for the broader application of Si‐based anodes in advanced lithium batteries.
Size‐dependent buckling loads of non‐uniform Bernoulli–Euler beams with elastic boundary conditions and thermal effects based on two‐phase local/nonlocal elastic model
Authors: Xu Mao , Chen Xinmin , Zhang Pei 
Published: November 2024

AbstractWe present predictive models of the size‐dependent buckling loads of non‐uniform Bernoulli–Euler beams under thermal effects based on the two‐phase local/nonlocal elastic model. The beam ends are assumed to be constrained by elastic springs with translational and rotational stiffness to simulate general boundary conditions. In contrast to most literature in this field, both the bending and thermal deformations of the beams are simultaneously considered to be two‐phase local/nonlocal of two phases, that is, the thermal effect is taken as equivalent to a size‐dependent thermal load. By using the fully equivalent differential form of the local/nonlocal equation with a set of constitutive boundary conditions, the problem is solved numerically with the aid of the generalized differential quadrature method (GDQM). Through conducting validation study, several parametric studies are given for examining the effects of the slope of beams’ thickness variation, nonlocal parameter, and elastically supported conditions on the buckling loads of non‐uniform beams. The results show that constrained stiffness has a drastic influence on the critical bucking loads of the beams. Furthermore, the consideration of the two‐phase thermal load will further reduce the actual buckling load of the beams.
Low perceived social support in mothers during pregnancy and early childhood; associations with anxiety and ADHD symptoms in children at 3 and 8 years
Authors: Ingeborgrud Christine Baalsrud , Oerbeck Beate , Friis Svein , Pripp Are Hugo , Aase Heidi , Biele Guido , Dalsgaard Søren , Overgaard Kristin Romvig 
Published: November 2024

Abstract
Purpose
Low perceived social support is associated with adverse effects on maternal mental health, and often coexists with other risk factors for offspring anxiety and attention-deficit/hyperactivity disorder (ADHD). We aimed to investigate whether low maternal social support during pregnancy and early childhood predicted anxiety and ADHD symptoms in children at ages 3.5 and 8 years.

Methods
This study is part of the longitudinal, population-based Norwegian Mother, Father, and Child Cohort Study. Mothers were queried about perceived social support twice during pregnancy, and again at child ages 18 months and 3 years. They were interviewed about their children’s symptoms of anxiety and ADHD at 3.5 years. At 8 years (n = 781), the Child Symptom Inventory-4 was used to identify children who fulfilled the criteria for anxiety disorders and ADHD. Logistic regression models estimated the risk of child anxiety and ADHD, depending on maternal social support.

Results
Low maternal social support predicted child anxiety symptoms at both ages 3.5 and 8 years as well as ADHD symptoms at 8 years. When including other maternal stressors and child risk factors, low maternal social support remained a significant predictor for child anxiety symptoms at 3.5 years, and there was a trend towards also predicting child anxiety and ADHD symptoms at 8 years.

Conclusion
The associations between low maternal social support and child symptoms of anxiety and ADHD found in the present study, suggest that focusing on mothers with low social support may hold significance for child symptoms years later.
Advanced semantic segmentation of aircraft main components based on transfer learning and data-driven approach
Authors: Thomas Julien , Kuang Boyu , Wang Yizhong , Barnes Stuart , Jenkins Karl 
Published: November 2024

Abstract
The implementation of Smart Airport and Airport 4.0 visions relies on the integration of automation, artificial intelligence, data science, and aviation technology to enhance passenger experiences and operational efficiency. One essential factor in the integration is the semantic segmentation of the aircraft main components (AMC) perception, which is essential to maintenance, repair, and operations in aircraft and airport operations. However, AMC segmentation has challenges from low data availability, high-quality annotation scarcity, and categorical imbalance, which are common in practical applications, including aviation. This study proposes a novel AMC segmentation solution, employing a transfer learning framework based on a sophisticated DeepLabV3 architecture optimized with a custom-designed Focal Dice Loss function. The proposed solution remarkably suppresses the categorical imbalance challenge and increases the dataset variability with manually annotated images and dynamic augmentation strategies to train a robust AMC segmentation model. The model achieved a notable intersection over union of 84.002% and an accuracy of 91.466%, significantly advancing the AMC segmentation performance. These results demonstrate the effectiveness of the proposed AMC segmentation solution in aircraft and airport operation scenarios. This study provides a pioneering solution to the AMC semantic perception problem and contributes a valuable dataset to the community, which is fundamental to future research on aircraft and airport semantic perception.

Graphical abstract
Image quality in three-dimensional (3D) contrast-enhanced dynamic magnetic resonance imaging of the abdomen using deep learning denoising technique: intraindividual comparison between T1-weighted sequences with compressed sensing and with a modified Fast 3D mode wheel
Authors: Tanabe Masahiro , Kawano Yosuke , Inoue Atsuo , Miyoshi Keisuke , Furutani Haruki , Ihara Kenichiro , Higashi Mayumi , Ito Katsuyoshi 
Published: November 2024

Abstract
Purpose
To assess the image quality of a modified Fast three-dimensional (Fast 3D) mode wheel with sequential data filling (mFast 3D wheel) combined with a deep learning denoising technique (Advanced Intelligent Clear-IQ Engine [AiCE]) in contrast-enhanced (CE) 3D dynamic magnetic resonance (MR) imaging of the abdomen during a single breath hold (BH) by intra-individual comparison with compressed sensing (CS) with AiCE.

Methods
Forty-two patients who underwent multiphasic CE dynamic MRI obtained with both mFast 3D wheel using AiCE and CS using AiCE in the same patient were retrospectively included. The conspicuity, artifacts, image quality, signal intensity ratio (SIR), signal-to-noise ratio (SNR), contrast ratio (CR), and contrast enhancement ratio (CER) of the organs were compared between these 2 sequences.

Results
Conspicuity, artifacts, and overall image quality were significantly better in the mFast 3D wheel using AiCE than in the CS with AiCE (all p < 0.001). The SNR of the liver in CS with AiCE was significantly better than that in the mFast 3D wheel using AiCE (p < 0.01). There were no significant differences in the SIR, CR, and CER between the two sequences.

Conclusion
A mFast 3D wheel using AiCE as a deep learning denoising technique improved the conspicuity of abdominal organs and intrahepatic structures and the overall image quality with sufficient contrast enhancement effects, making it feasible for BH 3D CE dynamic MR imaging of the abdomen.
Acid mine drainage bioremediation using bacteria enriched from the confluence zone between its flow and treated sewage
Authors: Nobahar A. , Fitas E. T. , Costa M. C. , Carlier J. D. 
Published: November 2024

AbstractSediments from the confluence zone between an acid mine drainage stream and a water stream receiving the effluent from a municipal wastewater treatment plant were inoculated in a Postgate B medium base having methanol, glycerol, or ethanol as carbon source/electron donor, over a pH range between 2.00 and 6.00, aiming to obtain native cultures enriched in acidophilic/acid-tolerant sulfate-reducing bacteria. The most effective sulfate reduction observed in acidic conditions was in the enrichment cultures with methanol. Thus, the microbial consortium enriched in these conditions was further used in acid mine drainage bioremediation experiments at an initial pH of 4.50 and using different doses of nutrients medium base and methanol as carbon source/electron donor. The most promising results, with more than 99% removal of metals, were obtained in the mixture of 20% Postgate B medium base plus 80% acid mine drainage (v/v), which corresponds to 0.115% basal salts and 0.02% yeast extract (w/v). Metataxonomic analysis based on 16S rRNA gene sequences showed the presence of Desulfosporosinus spp. in all enrichment cultures, with the highest relative abundance in cultures at pH 4.00 with methanol. Furthermore, metataxonomic analysis in the acid mine drainage remediation tests revealed the presence of Desulfosporosinus spp. in all tested conditions. In addition, the study also revealed Clostridium members in all tests. Plus, their relative abundances were related to the dose of nutrient medium base and in balance with the abundances of Desulfosporosinus spp.
Diagnostic Accuracy of Automated Diabetic Retinopathy Image Assessment Software: IDx-DR and RetCAD
Authors: Grzybowski Andrzej , Brona Piotr , Krzywicki Tomasz , Ruamviboonsuk Paisan 
Published: November 2024

Abstract
Introduction
Automated diabetic retinopathy (DR) screening using artificial intelligence has the potential to improve access to eye care by enabling large-scale screening. However, little is known about differences in real-world performance between available algorithms. This study compares the diagnostic accuracy of two AI screening platforms, IDx-DR and RetCAD, for detecting referable diabetic retinopathy (RDR).

Methods
Retinal images from 758 patients with diabetes were collected during screening from various clinics in Poland. Each patient was graded by three graders with 320 patients graded by Polish and 438 patients graded by Indian graders, with the majority decision serving as the reference standard. The images were evaluated independently by the IDx-DR and RetCAD algorithms. Sensitivity, specificity, positive and negative predictive values, and agreement between algorithms and human graders were calculated and statistically compared.

Results
IDx-DR demonstrated higher sensitivity of 99.3% but lower specificity of 68.9% for RDR detection compared to RetCAD which had 89.4% sensitivity and 94.8% specificity. The positive predictive value was higher for RetCAD (96.4% vs 48.1% for IDx-DR) while the negative predictive value was higher for IDx-DR (99.5% vs 83.1% for RetCAD). Both algorithms achieved high sensitivity (> 95%) for sight-threatening diabetic retinopathy detection.

Conclusion
In this direct comparison using the same patient cohort, the two algorithms showed differences in their operating parameters for RDR screening. IDx-DR prioritized avoiding false negatives over false positives while RetCAD maintained a more balanced trade-off. These results highlight the variable performance of current artificial intelligence screening solutions and suggest the importance of considering algorithm performance metrics when deploying automated diabetic retinopathy screening programs, based on available healthcare resources.