bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnetic‐Driven Broadband Epsilon‐Near‐Zero Materials at Radio Frequency
Authors: Sun Kai , Wang Chong , Tian Jiahong , Zhang Zheng , Zeng Ni , Yin Rui , Duan Wenxin , Hou Qing , Zhao Yaman , Wu Haikun , Fan Runhua 
Published: September 2023

AbstractEpsilon‐near‐zero (ENZ) materials, exhibiting unique physical characteristics such as near‐zero refraction, have aroused extensive interest and exhibit great potentials in novel applications of perfect absorbers, high‐harmonic generation, and nonlinear optical response. Here, for the first time, magnetic‐driven broadband ENZ materials are designed by fabricating polyvinyl alcohol (PVA)/Ni@carbon nanotubes (CNTs) films. Dielectric properties including real permittivity (ɛ′), imaginary permittivity (ɛ″), dielectric loss (tanδ), and impedance (Z) are investigated. When Ni@CNTs content reached 30 wt.%, negative permittivity transferred to positive permittivity at ≈11.5 MHz, and epsilon‐near‐zero (|ɛ′| < 1) is realized from ≈9 to 14 MHz, exhibiting broad ENZ bandwidth of ≈5 MHz. Theory calculations confirm that delocalized electrons are introduced from CNTs, which improve the carrier mobility and achieve low frequency dispersion behavior. Longer interfacial polarization electric fields between PVA and CNTs are also demonstrated by theory calculations, enhancing the positive permittivity response to offset negative permittivity response from Ni@CNTs. These two mechanisms result in broadband ENZ at radio frequency. This film also exhibits excellent magnetic actuation ability under magnetic field, broadening applications from ENZ materials to novel fields such as magnetically actuated robots with perfect absorption, magnetic‐driven biomimetic aircrafts with shielding ability, magnetic‐driven photodetectors, etc.
Nacre‐Inspired Mechanically Robust Films for Osmotic Energy Conversion
Authors: Rao Jun , Lv Ziwen , Yan Xueqing , Pan Jing , Chen Gegu , Lü Baozhong , Peng Feng 
Published: September 2023

AbstractMXene, a new class of 2D layered materials, is considered a candidate for the reverse electrodialysis (RED) film because the laminated MXene nanochannels with charged functional groups provide an excellent ionic selectivity and conductivity. However, the MXene‐based ion‐exchange films suffer from weak mechanical properties and instability in water due to the poor binding force between the nanosheets, which limits their RED performance. Here, inspired by natural nacre structure, a class of cation‐MXene/cation holocellulose nanofibers (C‐MXene/C‐HNF) composite film with high performance for harvesting nanofluidic osmotic is developed. C‐HNF acts as interlocking agent to connect the MXene nanosheets by hydrogen bonding, resulting a mechanically robust and water stable film. The introduction of C‐HNF not only increases the interlayer interaction force, but also enhances the ion transport flux. When the content of C‐HNF is 20%, the tensile stress, fracture strain, and toughness of the composite film reach up to 127.75 ± 1.61 MPa, 3.50 ± 0.1%, and 2.95 ± 0.52 MJ m−3, respectively. Additionally, the composite film can produce an impressive output power density of up to 1.09 W m−2 under a 50‐fold salinity gradient (0.01/0.5 m NaCl), and only decreases by 4.58% after 50 days, demonstrating good stability and durability.
Scattering Spheres Boost Afterglow: A Mie Glass Approach to Go Beyond the Limits Set by Persistent Phosphor Composition
Authors: Castaing Victor , Romero Manuel , Torres Juan , Lozano Gabriel , Míguez Hernán 
Published: September 2023

AbstractPersistent luminescence phosphor nanoparticles (PersLNPs) offer exciting opportunities for anticounterfeiting, data storage, imaging displays, or AC‐driven lighting applications owing to the possibility to process them as shapable thin coatings. However, despite unique delayed and long‐lasting luminescence, the relatively low storage capacity of persistent phosphor nanoparticles combined with the difficulty of harvesting photons from transparent thin layers drastically hinder the perceived afterglow. In order to enhance persistent luminescence (PersL) of thin coatings, herein a novel approach is proposed based on resonant optical nanostructures. In particular, it is demonstrated that the integration of TiO2 scattering spheres in films (with thickness comprised between 1 and 10 µm) made of ZnGa2O4:Cr3+ PersLNPs enables a significant increase in afterglow intensity due to the combination of effective charging and enhanced outcoupling. As a result, a ≈3.5‐fold enhancement of the PersL is observed in 2 µm‐thick films stuffed with scattering centers using low‐light illumination conditions. Furthermore, inclusion of scattering centers leads to an unprecedented acceleration of the PersL charging speed. These results constitute the first example of photonic engineering applied to enhance the properties of PersL materials coatings.
Looking back and beyond the 2017 diagnostic criteria for hypermobile Ehlers‐Danlos syndrome: A retrospective cross‐sectional study from an Italian reference center
Authors: Ritelli Marco , Chiarelli Nicola , Cinquina Valeria , Vezzoli Marika , Venturini Marina , Colombi Marina 
Published: September 2023

AbstractThe most common conditions with symptomatic joint hypermobility are hypermobile Ehlers‐Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD). Diagnosing these overlapping connective tissue disorders remains challenging due to the lack of established causes and reliable diagnostic tests. hEDS is diagnosed applying the 2017 diagnostic criteria, and patients with symptomatic joint hypermobility but not fulfilling these criteria are labeled as HSD, which is not officially recognized by all healthcare systems. The 2017 criteria were introduced to improve diagnostic specificity but have faced criticism for being too stringent and failing to adequately capture the multisystemic involvement of hEDS. Herein, we retrospectively evaluated 327 patients from 213 families with a prior diagnosis of hypermobility type EDS or joint hypermobility syndrome based on Villefranche and Brighton criteria, to assess the effectiveness of the 2017 criteria in distinguishing between hEDS and HSD and document the frequencies of extra‐articular manifestations. Based on our findings, we propose that the 2017 criteria should be made less stringent to include a greater number of patients who are currently encompassed within the HSD category. This will lead to improved diagnostic accuracy and enhanced patient care by properly capturing the diverse range of symptoms and manifestations present within the hEDS/HSD spectrum.
Shape‐Memory Effect Enabled by Ligand Substitution and CO2 Affinity in a Flexible SIFSIX Coordination Network
Authors: Song Bai‐Qiao , Shivanna Mohana , Gao Mei‐Yan , Wang Shi‐Qiang , Deng Cheng‐Hua , Yang Qing‐Yuan , Nikkhah Sousa Javan , Vandichel Matthias , Kitagawa Susumu , Zaworotko Michael J. 
Published: September 2023

AbstractWe report that linker ligand substitution involving just one atom induces a shape‐memory effect in a flexible coordination network. Specifically, whereas SIFSIX‐23‐Cu, [Cu(SiF6)(L)2]n, (L=1,4‐bis(1‐imidazolyl)benzene, SiF62−=SIFSIX) has been previously reported to exhibit reversible switching between closed and open phases, the activated phase of SIFSIX‐23‐CuN, [Cu(SiF6)(LN)2]n (LN=2,5‐bis(1‐imidazolyl)pyridine), transformed to a kinetically stable porous phase with strong affinity for CO2. As‐synthesized SIFSIX‐23‐CuN, α, transformed to less open, γ, and closed, β, phases during activation. β did not adsorb N2 (77 K), rather it reverted to α induced by CO2 at 195, 273 and 298 K. CO2 desorption resulted in α′, a shape‐memory phase which subsequently exhibited type‐I isotherms for N2 (77 K) and CO2 as well as strong performance for separation of CO2/N2 (15/85) at 298 K and 1 bar driven by strong binding (Qst=45–51 kJ/mol) and excellent CO2/N2 selectivity (up to 700). Interestingly, α′ reverted to β after re‐solvation/desolvation. Molecular simulations and density functional theory (DFT) calculations provide insight into the properties of SIFSIX‐23‐CuN.
A case misdiagnosed as hyperthyroid heart disease: Surgical repair of unroofed coronary sinus syndrome with severe tricuspid regurgitation
Authors: Ding Xuejiao , Liao Zhimin , Tao Yichao , Wu Xiaofeng 
Published: September 2023

AbstractUnroofed coronary sinus syndrome (URCS), also known as coronary sinus septal defect, is a rare congenital heart disease. Because of its special anatomy and the lack of typical clinical symptoms, the disease is easily missed and misdiagnosed. This case report particularly describes a middle‐aged male patient with URCS misdiagnosed for more than 19 years, covered by hyperthyroid heart disease, who subsequently developed uncontrollable symptoms such as chest tightness and shortness of breath and came to our hospital. After a clear diagnosis in our hospital, the patient was successfully cured after treatment with coronary sinus repair and tricuspid valvuloplasty under extracorporeal circulation.
Laser‐Induced Carbon Nanofiber‐Based Redox Cycling System
Authors: Perju Antonia , Wongkaew Nongnoot 
Published: September 2023

AbstractRedox cycling is a powerful amplification strategy for reversible redox species within miniaturized electrochemical sensors. Herein, we generate three‐dimensional (3D) porous carbon nanofiber electrodes by CO2 laser‐writing on electrospun polyimide (PI) nanofiber mats, referred to as laser‐induced carbon nanofibers (LCNFs). The technique allowed the fabrication of interdigitated electrode (IDE) arrays with finger width and gap distance of ~400 μm and ~40 μm, respectively, offering approximately 3.5 times amplification efficiency (AF) and 95 % collection efficiency (CE). Such dimensions could not be achieved with IDEs fabricated on conventional PI film because the devices were short‐circuited. Stacked electrodes were also constructed as an alternative to the IDE design. Here, nanofiber mats as thin as ~20 μm were fabricated and used as vertical insulation between two LCNF band electrodes. While redox cycling efficiency was similar, the IDE design is more favorable considering the lower complexity and better signal reproducibility. Our strategy thus paves the way for creating flexible 3D porous electrodes with redox cycling ability that can be integrated into microfluidics and lab‐on‐a‐chip systems. In particular, the devices offer inherent flow‐through features in miniaturized analytical devices where separation and sensitive detection could be further realized.
Yin Yang 1 promotes the neuroendocrine differentiation of prostate cancer cells via the non‐canonical WNT pathway (FYN/STAT3)
Authors: Liu Rui‐ji , Xu Zhi‐Peng , Huang Xiang , Xu Bin , Chen Ming 
Published: September 2023

BackgroundA growing number of studies have shown that Yin Yang 1 (YY1) promotes the development of multiple tumours. The purpose of the current study was to determine the mechanism by which YY1 mediates neuroendocrine differentiation of prostate cancer (NEPC) cells undergoing cellular plasticity.MethodsUsing the Cancer Genome Atlas and Gene Expression Omnibus (GEO) databases, we bioinformatically analyzed YY1 expression in prostate cancer (PCa). Aberrant YY1 expression was validated in different PCa tissues and cell lines via quantitative reverse transcription polymerase chain reaction, western blotting, and immunohistochemistry. In vivo and in vitro functional assays verified the oncogenicity of YY1 in PCa. Further functional assays showed that ectopic expression of YY1 promoted cellular plasticity in PCa cells via epithelial‐mesenchymal transition induction and neuroendocrine differentiation.ResultsAndrogen deprivation therapy induced a decrease in YY1 protein ubiquitination, enhanced its stability, and thus enhanced the transcriptional activity of FZD8. Castration enhanced FZD8 binding to Wnt9A and mediated cellular plasticity by activating the non‐canonical Wnt (FZD8/FYN/STAT3) pathway.ConclusionsWe identified YY1 as a novel dysregulated transcription factor that plays an important role in NEPC progression in this study. We believe that an in‐depth investigation of the mechanism underlying YY1‐mediated disease may lead to improved NEPC therapies.
Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
Authors: Archer Derek B. , Schilling Kurt , Shashikumar Niranjana , Jasodanand Varuna , Moore Elizabeth E. , Pechman Kimberly R. , Bilgel Murat , Beason‐Held Lori L. , An Yang , Shafer Andrea , Ferrucci Luigi , Risacher Shannon L. , Gifford Katherine A. , Landman Bennett A. , Jefferson Angela L. , Saykin Andrew J. , Resnick Susan M. , Hohman Timothy J. ,   for the Alzheimer's Disease Neuroimaging Initiative
Published: September 2023

AbstractIntroductionIt is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging.MethodsDiffusion MRI data from several well‐established longitudinal cohorts of aging (Alzheimer's Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study of Aging [BLSA], Vanderbilt Memory & Aging Project [VMAP]) were free‐water corrected and harmonized. This dataset included 1723 participants (age at baseline: 72.8 ± 8.87 years, 49.5% male) and 4605 imaging sessions (follow‐up time: 2.97 ± 2.09 years, follow‐up range: 1–13 years, mean number of visits: 4.42 ± 1.98). Differences in white matter microstructural decline in normal and abnormal agers was assessed.ResultsWhile we found a global decline in white matter in normal/abnormal aging, we found that several white matter tracts (e.g., cingulum bundle) were vulnerable to abnormal aging.ConclusionsThere is a prevalent role of white matter microstructural decline in aging, and future large‐scale studies in this area may further refine our understanding of the underlying neurodegenerative processes.HIGHLIGHTS
Longitudinal data were free‐water corrected and harmonized.
Global effects of white matter decline were seen in normal and abnormal aging.
The free‐water metric was most vulnerable to abnormal aging.
Cingulum free‐water was the most vulnerable to abnormal aging.
Evaluation of seed‐dispersal services by ants at a temperate pasture: Results of direct observations in an ant suppression experiment
Authors: Konečná Marie , Lisner Aleš , Blažek Petr , Pech Pavel , Lepš Jan 
Published: September 2023

AbstractAnts disperse seeds of many plant species adapted to myrmecochory. While advantages of this ant–plant mutualism for myrmecochorous plants (myrmecochores) have been previously studied in temperate region mostly in forests, our study system was a pasture. Moreover, we used a unique combination of observing the effect of ant‐activity suppression on ant dispersal and comparison of the contribution of ant and unassisted dispersal to the distance from mother plant. We established plots without and with ant‐activity suppression (enclosures). We offered diaspores of a myrmecochorous (Knautia arvensis), and a non‐myrmecochorous (Plantago lanceolata) species in a choice test and followed ants carrying diaspores during days and nights (focus of previous studies was on diurnal dispersal). We measured frequency and distances of ant dispersal and compared them with unassisted dispersal recorded using sticky trap method. The dispersal frequency was lower in enclosures (3.16 times). Ants strongly preferred diaspores of the myrmecochore to non‐myrmecochore with 586 and 42 dispersal events, respectively (out of 6400 diaspores of each species offered). Ant dispersal resulted in more even and on average longer distances (maximum almost tenfold longer, 994 cm) in comparison to unassisted dispersal. Ant dispersal altered the distribution of distances of the myrmecochore from roughly symmetric for unassisted dispersal to positively skewed. Ants dispersed heavier diaspores farther. Ants dropped the majority of diaspores during the dispersal (which reduces clustering of seeds), while several (11%) were carried into anthills. Anthills are disturbed microsites presumably favorable for germination in competitive habitats. Ants provided non‐negligible dispersal services to myrmecochorous K. arvensis but also, to a lesser extent, of non‐myrmecochorous P. lanceolata.
Human gut microbiome: Therapeutic opportunities for metabolic syndrome—Hype or hope?
Authors: Horvath Angela , Zukauskaite Kristina , Hazia Olha , Balazs Irina , Stadlbauer Vanessa 
Published: September 2023

AbstractShifts in gut microbiome composition and metabolic disorders are associated with one another. Clinical studies and experimental data suggest a causal relationship, making the gut microbiome an attractive therapeutic goal. Diet, intake of probiotics or prebiotics and faecal microbiome transplantation (FMT) are methods to alter a person's microbiome composition. Although FMT may allow establishing a proof of concept to use microbiome modulation to treat metabolic disorders, studies show mixed results regarding the effects on metabolic parameters as well as on the composition of the microbiome. This review summarizes the current knowledge on diet, probiotics, prebiotics and FMT to treat metabolic diseases, focusing on studies that also report alterations in microbiome composition. Furthermore, clinical trial results on the effects of common drugs used to treat metabolic diseases are synopsized to highlight the bidirectional relationship between the microbiome and metabolic diseases. In conclusion, there is clear evidence that microbiome modulation has the potential to influence metabolic diseases; however, it is not possible to distinguish which intervention is the most successful. In addition, a clear commitment from all stakeholders is necessary to move forward in the direction of developing targeted interventions for microbiome modulation.
Environmental DNA and RNA in aquatic community ecology: Toward methodological standardization
Authors: Bunholi Ingrid V. , Foster Nicole R. , Casey Jordan M. 
Published: September 2023

AbstractMolecular technologies have facilitated the expansion of biodiversity assessments across a broad range of organisms and aquatic systems. Environmental DNA (eDNA) and environmental RNA (eRNA), collectively referred to as environmental nucleic acids (eNAs), have revolutionized biodiversity monitoring due to their noninvasive nature and high‐resolution capabilities when compared to traditional survey methods. While eNA applications have grown exponentially over the past decade, methodological inconsistencies hinder reproducibility and comparability. To assess the current state of eNA methodologies in aquatic ecology, we conducted a systematic review of 300 peer‐reviewed eNA studies that assess ecological communities across diverse aquatic systems. Of these papers, 291 examine eDNA, four examine eRNA, and five consider both eDNA and eRNA. The small number of eRNA studies compared to eDNA highlights the eRNA field is in its infancy. Of the eNA studies looked at, we found a clear geographic bias, with approximately 50% of all eNA studies occurring in six high‐income countries, while less than 10% of eNA studies occur across South America and Africa. Further, we report a lack of methodological standardization across eNA studies, showing high variability in water filtration volume, filter material, filter pore size, eNA extraction method, marker choice, and bioinformatic pipelines. We further highlight that incomplete reference sequence databases for both eRNA and eDNA limit taxonomic assignment and biodiversity inferences. Finally, we identify a systematic issue across eNA studies in community ecology: missing methodological details, which compromise reproducibility, especially in newly emerging eRNA applications. To facilitate the standardization of eNA monitoring across aquatic systems and permit the further integration of eNA applications in biodiversity monitoring, we recommend the improvement of reference databases alongside guidelines that encourage methodological transparency.
Metal–organic framework‐derived LiFePO4/C composites for lithium storage: In situ construction, effective exploitation, and targeted restoration
Authors: Li Yilin , Fan Ziqiang , Peng Zhijian , Xu Zhaohui , Zhang Xinyu , Zhou Jian‐En , Lin Xiaoming , Wu Zhenyu , Zhao Enyue , Zeng Ronghua 
Published: September 2023

AbstractHitherto, LiFePO4 (LFP) is bottlenecked by inferior electronic conductivity and sluggish Li+ diffusion, which can be resolved by cation doping, morphological engineering, carbon coating, and so forth. Among these methodologies, morphological optimization and carbon modification can warrant a stable operating voltage and prolong the cycling lifespan, which can be accessible by utilizing metal–organic frameworks as self‐sacrificing templates. Herein, we conceptualize a strategy to in‐situ construct N‐doped carbon‐coated LFP with Prussian blue analogues as the template, after which electrochemical tests extensively exploit the lithium storage capacity with 153.2 mAh g−1 after 500 cycles at 0.5 C. However, the capacity failure associated with the inevitable Li+ loss and destructed carbon layer provides sufficient room for the restoration of LFP after long‐term cycling. Motivated by this, the cell performance of LFP/C after targeted restoration using the 3,4‐dihydroxybenzonitrile dilithium salt is investigated, revealing a considerable recovered capacity due to the recuperative LFP crystal and uniform carbon layer with homogeneous N‐distribution. The computational study also supports the feasibility of N‐doped carbon layer in LFP modification. This study envisages a methodology for the performance improvement of LFP from directional fabrication to targeted recovery, providing insights into the manufacturing and reuse of LIB cathodes.image
Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China
Authors: Liu Yi , Zhu Runhua , Zhai Shuo , Li Na , Li Chengyong 
Published: September 2023

AbstractLithofacies form the basis for evaluating shale gas fields and play an important role in gas reservoir enrichment. The accurate identification of shale lithofacies is key for exploration and development. Based on well‐logged data, the accuracy of mineral content prediction using machine‐learning regression models is not ideal. Therefore, feature derivation was introduced to enhance the correlation between minerals and lithofacies and improve the data expression ability. Four machine‐learning models for mineral regression were established based on feature‐derived data sets: LightGBM, XGBoost, artificial neural network, and support vector machine. By calculating the evaluation metrics of each model, we found that LightGBM had the best prediction performance. To compare and confirm the accuracy of the model in identifying lithofacies, this study established a new method, MT‐LightGBM, which combines the LightGBM mineral content regression model with mineral ternary diagrams to identify lithofacies. By using the MT‐LightGBM model and LightGBM classification models to identify the target lithofacies, it was found that the accuracy of lithofacies identification of MT‐LightGBM reached 94%. This accuracy is high and is of great significance for understanding and evaluating underground shale reservoirs.