bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patagonian ñire (Nothofagus antarctica) combined with green tea ‐ Novel beverage enriched in bioactive phytochemicals as health promoters
Authors: Mattera Maria Gabriela , Langenheim Mariana E. , Reiner Gabriela , Peri Pablo L. , Moreno Diego A. 
Published: August 2022

AbstractBackgroundPolyphenol‐enriched tea is an interesting product for food industries under the current consumer demands. This study aimed at evaluating the Nothofagus antarctica (NA) species as a valuable source of bioactive compounds as well as obtaining an optimized organic green tea (OGT)‐NA blend. NA leaves of different developmental stages and several mixture proportions were analyzed. HPLC–DAD–ESI/MSn was used to identify and quantify the polyphenol compounds. Antioxidant capacity and the type of interaction occurring between constituents were assessed.ResultsNA infusions exhibited high polyphenol diversity and some differences in the individual concentration were found between NA leaves. NA polyphenol profile showed great complementarity to the one present in green tea. Besides, NA impacted positively the antioxidant strength in the mixtures. Finally, the 67% OGT‐33% NA blend exhibited an optimized performance in relative and total polyphenol contents and antioxidant properties, and thus, it could be recommended as a novel beverage.ConclusionsN. antarctica is a valuable source of polyphenol compounds and its combination with green tea, in a blend, could represent an interesting food product. In addition, this new non‐wood product constitutes a novel productive strategy for adding value to the silvopastoral systems with positive socio‐economic impact.
Tuning Self‐Trapped Exciton States via Trivalent‐Metal Alloying in Lead‐Free 2D Double‐Perovskites
Authors: Yang Bin , Bai Tianxin , Chen Junsheng , Wang Xiaochen , Tang Zhe , Yin Hang , Wei Donghui , Yang Songqiu , Han Keli 
Published: August 2022

AbstractStrong carrier‐phonon coupling‐induced self‐trapped excitons (STEs) limit the application of 2D double‐perovskites in optoelectronic devices because the separation and collection of the highly localized STEs are challenging. In this study, antimony (Sb) is incorporated into (BA)4AgBiBr8 (BA = CH3(CH2)3NH3+) to form (BA)4AgSbxBi1‐xBr8 (0 ≤ x ≤ 1) trivalent‐metal alloyed 2D double‐perovskites. It is found that introducing Sb into the (BA)4AgBiBr8 2D double‐perovskite will decrease the carrier‐phonon coupling strength and change STEs from “dark” states to “bright” states at room temperature. Combining detailed spectroscopic analysis with density functional theory calculation, it is concluded that STEs localized at [SbBr6] octahedron in (BA)4AgSbxBi1‐xBr8 give the broadband bright emission. The “bright” STEs with moderate carrier‐phonon coupling opens the possibility to efficiently separate and collect charge‐carriers in (BA)4AgSbBr8 2D double‐perovskites. Photodetectors based on (BA)4AgSbBr8 crystals are further fabricated. The photodetectors exhibit high responsivity up to 1368 A W−1 and an external quantum efficiency of 4.7 × 105. These figures are over three times higher than that in (BA)4AgBiBr8‐based photodetectors. This study provides a unique strategy for developing high‐performance optoelectronic devices based on STEs.
Engineering Bound States in the Continuum at Telecom Wavelengths with Non‐Bravais Lattices
Authors: Murai Shunsuke , Abujetas Diego R. , Liu Libei , Castellanos Gabriel W. , Giannini Vincenzo , Sánchez‐Gil José A. , Tanaka Katsuhisa , Gómez Rivas Jaime 
Published: August 2022

AbstractVarious optical phenomena can be induced in periodic arrays of nanoparticles by the radiative coupling of the local dipoles in each particle. Probably the most impressive example is bound states in the continuum (BICs), which are electromagnetic modes with a dispersion inside the light cone but infinite lifetime, that is, modes that cannot leak to the continuum. Symmetry‐protected BICs appear at highly symmetric points in the dispersion of periodic systems. Although the addition of nonequivalent lattice points in a unit cell is an easy and straightforward way of tuning the symmetry, BICs in such particle lattice, that is, non‐Bravais lattice, are less explored among periodic systems. Starting from a periodic square lattice of Si nanodisks, three non‐Bravais lattices are prepared by detuning size and position of the second disk in the unit cell. Diffraction‐induced coupling excites magnetic/electric dipoles in each nanodisk, producing two surface lattice resonances at the Γ point with a band gap in between. The high/low energy branch becomes a BIC for the size/position‐detuned array, respectively, while both branches are bright (or leaky) when both size and position are detuned simultaneously. The unexplored role of the interplay between magnetic and electric dipoles in dielectric nanoparticles in connection with the change of BIC to bright character in the detuned arrays is discussed with the aid of a coupled electric and magnetic dipole model. This study gives a simple way of tuning BICs at telecom wavelengths in non‐Bravais lattices, including both plasmonic and dielectric systems, thus scalable to a wide range of frequencies.
Observation of SQUID‐Like Behavior in Fiber Laser with Intra‐Cavity Epsilon‐Near‐Zero Effect
Authors: Wu Jiaye , Liu Xuanyi , Malomed Boris A. , Chang Kuan‐Chang , Zhao Minghe , Qi Kang , Sha Yanhua , Xie Ze Tao , Clementi Marco , Brès Camille‐Sophie , Zhang Shengdong , Fu Hongyan , Li Qian 
Published: August 2022

AbstractEstablishing relations between fundamental effects in far‐flung areas of physics is a subject of great interest in the current research. Realization of a novel photonic system akin to the radio‐frequency superconducting quantum interference device (RF‐SQUID), in a fiber laser cavity with epsilon‐near‐zero (ENZ) nanolayers as intra‐cavity components is reported here. Emulating the RF‐SQUID scheme, the photonic counterpart of the supercurrent, represented by the optical wave, circulates in the cavity, passing through effective optical potential barriers. Different ENZ wavelengths translate into distinct spectral outputs through the variation of cavity resonances, emulating the situation with a frequency‐varying tank circuit in the RF‐SQUID. Due to the presence of the ENZ element, the optical potential barrier is far lower for selected frequency components, granting them advantage in the gain‐resource competition. The findings reported in this work provide a deeper insight into the ultrafast ENZ photonics, revealing a new path toward the design of nanophotonic on‐chip devices with various operational functions, and offer a new approach to study superconducting and quantum‐mechanical systems.
Distinctive Colorimetric Response of Benzaldehyde Substituted Polydiacetylene Vesicle to Temperature, pH, and Organic Amines
Authors: Xu Yangyang , Zhu Haibin , Ding Zhaofu , Zhao Xianjun , Yin Jiansong , Graff Bernadette , Gao Jiangang , Lalevée Jacques 
Published: August 2022

AbstractHere, a benzaldehyde substituted diacetylene vesicle formed through a self‐assembly strategy in water is reported. Under UV irradiation, conjugated polydiacetylene (PDA) could be generated in the blue phase by 1,4‐addition topopolymerization. Furthermore, this newly developed PDA vesicle displays distinctive colorimetric response to triple stimuli, including temperature, pH, and organic amines. Specifically, a clear blue‐to‐purple‐to‐red chromatic transition is observed for the PDA vesicle upon a gradient heating procedure from 25 to 75 °C. Although no obvious colorimetric changes happen when the PDA vesicle is exposed to acidic environments, it gradually turns into red color in alkaline aqueous solution or atmosphere with increasing pH values. More interestingly, this PDA vesicle can serve as an excellent sensor to distinguish some typical aliphatic/aromatic amines based on its different colorimetric and morphologic transformation behaviors. It is suggested that the incorporated benzaldehyde head group in PDA plays an essential role for the resulting responsiveness to the various environmental stimuli. As the preparation method is simple and straightforward, the novel PDA vesicle introduced here holds great potential as a promising sensor with the naked eye.
Domain‐adaptive denoising network for low‐dose CT via noise estimation and transfer learning
Authors: Wang Jiping , Tang Yufei , Wu Zhongyi , Tsui Benjamin M. W. , Chen Wei , Yang Xiaodong , Zheng Jian , Li Ming 
Published: August 2022

AbstractBackgroundIn recent years, low‐dose computed tomography (LDCT) has played an important role in the diagnosis CT to reduce the potential adverse effects of X‐ray radiation on patients, while maintaining the same diagnostic image quality.PurposeDeep learning (DL)‐based methods have played an increasingly important role in the field of LDCT imaging. However, its performance is highly dependent on the consistency of feature distributions between training data and test data. Due to patient's breathing movements during data acquisition, the paired LDCT and normal dose CT images are difficult to obtain from realistic imaging scenarios. Moreover, LDCT images from simulation or clinical CT examination often have different feature distributions due to the pollution by different amounts and types of image noises. If a network model trained with a simulated dataset is used to directly test clinical patients’ LDCT data, its denoising performance may be degraded. Based on this, we propose a novel domain‐adaptive denoising network (DADN) via noise estimation and transfer learning to resolve the out‐of‐distribution problem in LDCT imaging.MethodsTo overcome the previous adaptation issue, a novel network model consisting of a reconstruction network and a noise estimation network was designed. The noise estimation network based on a double branch structure is used for image noise extraction and adaptation. Meanwhile, the U‐Net‐based reconstruction network uses several spatially adaptive normalization modules to fuse multi‐scale noise input. Moreover, to facilitate the adaptation of the proposed DADN network to new imaging scenarios, we set a two‐stage network training plan. In the first stage, the public simulated dataset is used for training. In the second transfer training stage, we will continue to fine‐tune the network model with a torso phantom dataset, while some parameters are frozen. The main reason using the two‐stage training scheme is based on the fact that the feature distribution of image content from the public dataset is complex and diverse, whereas the feature distribution of noise pattern from the torso phantom dataset is closer to realistic imaging scenarios.ResultsIn an evaluation study, the trained DADN model is applied to both the public and clinical patient LDCT datasets. Through the comparison of visual inspection and quantitative results, it is shown that the proposed DADN network model can perform well in terms of noise and artifact suppression, while effectively preserving image contrast and details.ConclusionsIn this paper, we have proposed a new DL network to overcome the domain adaptation problem in LDCT image denoising. Moreover, the results demonstrate the feasibility and effectiveness of the application of our proposed DADN network model as a new DL‐based LDCT image denoising method.
Improved particle swarm optimizer for problems with variable evaluation time: Application to asymptotic homogenization
Authors: Argilaga Albert , Guo Ning 
Published: August 2022

AbstractThis work presents a new particle swarm optimizer (PSO)‐based metaheuristic algorithm designed to reduce overall computational cost without compromising optimization's precision in functions with variable evaluation time. The algorithm exploits the evaluation time gradient in addition to the convergence gradient attempting to reach the same convergence precision following a more economical path. The particle's newly incorporated time information is usually in contradiction to the past memories of best function evaluations thus degrading convergence. A technique is proposed in order to modulate the new cognitive input that consists of progressive reducing of its weight in order to confer the algorithm the appropriate time‐convergence balance. Results show that the proposed algorithm not only provides computational economy, but also unexpectedly improves convergence per se due to a better exploration in the initial stages of optimization. Its application in asymptotic homogenization of a cracked poroelastic medium confirms its superior performance compared to a series of alternative optimization algorithms. The proposed algorithm improvement allows to extend the applicability of PSO and PSO‐based algorithms to problems that were previously thought to be too computationally expensive for population‐based approaches.
Fabrication and characterization of graphene oxide and glass fiber‐based hybrid epoxy composites
Authors: Maqsood Muhammad Faheem , Zubair Muhammad Awais Ali , Raza Mohsin Ali , Mehdi Syed Muhammad Zain , Lee Naesung , Rehman Zaeem Ur , Park Kyeongsoon , Bhatti Muhammad Usman , Latif Umar , Tawakkal Allah 
Published: August 2022

AbstractThis work aims to develop and characterize graphene oxide (GO) and glass fiber (GF)‐based hybrid epoxy composites. Graphite oxide was synthesized by improved Hummers' method, and it was uniformly dispersed in ethanol by ultra‐sonication to form GO suspension. Later, GO and GF‐based hybrid epoxy composites were prepared by hand layup method followed by curing under compression to develop composite sheets accordingly to the ASTM standards (D3039 & D6110‐18). Fourier transform infrared spectra of the neat and the GF‐based hybrid epoxy composites confirmed the formation of improved interface between GO/epoxy and silane coating present on GF surface, which is well validated with the given reaction schematic. Scanning electron microscope and elemental mapping results corroborate our point that the GO filled the voids and empty spaces and lessened the water absorption properties of the composite which is much needed for the application of composites at high altitudes and marine environment. Effect of GO content on mechanical properties of prepared composites was studied by varying the GO content from 0.1 to 1.2 wt%. Mechanical characterization of GO and GF‐based hybrid epoxy composites were carried out by tensile and impact testing. Ultimate tensile strength, impact strength and elongation were increased by ~20%, ~41%, and ~19%, respectively, at 0.4 wt% addition of composition. The avg. delamination factor for this composition (0.4 wt% of GO) reduced as compared to neat epoxy and other wt% compositions for 6‐, 5‐, 4‐, & 3‐mm drill bit sizes.
Low‐velocity impact damage and compression after impact behavior of CF/PEEK thermoplastic composite laminates
Authors: Liu Ankang , Chen Yunlong , Hu Jiqiang , Wang Bing , Ma Li 
Published: August 2022

AbstractImpact resistance and damage tolerance are of great significance in the design of composite structures. This study researched the damage and failure mechanism of carbon fiber reinforced poly‐ether‐ether‐ketone (CF/PEEK) composite laminates under the low‐velocity impact (LVI) and compression after impact (CAI) loading conditions. The test included four impact energy levels (15, 30, 45, and 60 J) and compared the effect of two different stacking sequences ([0°/90°]8S and [0°/45°/90°/−45°]4S) on performance. The results shown that the peak impact force of the two different stacking sequences increased from 7.8 kN/8.3 kN–11.4 kN/13.7 kN, and the CAI strength decreased from 370.5 MPa/419.3 MPa to 212.8 MPa/232.5 MPa, respectively. Nondestructive testing of low‐velocity impact specimens by ultrasonic C‐Scan was employed to investigate structural damage. Digital image correlation (DIC) was employed to perform full‐field displacement measurements for the CAI experiment. The cross‐section of typical specimen was observed using a scanning electron microscope (SEM) to determine the failure mode of the specimen. In addition, a 3D damage model based on continuum damage mechanics was established, with the consideration of the interlaminar delamination damage and intralaminar damage. Compared with the experimental results, the errors of the numerical simulation of the peak impact force, impact energy absorption, and CAI strength are 3.8%–14.8%, 3.7%–6.9%, and 2.2%–6.7%, respectively, which verifies the validity and rationality of the model. Furthermore, the numerical model and interpolation function were used to predict the ultimate residual strength.
Whole‐genome DNA methylation patterns of Oryza sativa (L.) and Oryza glumaepatula (Steud) genotypes associated with aluminum response
Authors: Gallo‐Franco Jenny Johana , Ghneim‐Herrera Thaura , Tobar‐Tosse Fabian , Romero Miguel , Chaura Juliana , Quimbaya Mauricio 
Published: August 2022

AbstractEpigenetic mechanisms in crops have emerged as a fundamental factor in plant adaptation and acclimation to biotic and abiotic stresses. Among described epigenetic mechanisms, DNA methylation has been defined as the most studied epigenetic modification involved in several developmental processes. It has been shown that contrasting methylation marks are associated with gene expression variations between cultivated and wild crop species. In this study, we analyzed single‐base resolution methylome maps for Oryza sativa (a cultivated species) and Oryza glumaepatula (a wild species) genotypes grown under control conditions. Our results showed that overall, genome‐wide methylation profiles are mainly conserved between both species, nevertheless, there are several differentially methylated regions with species‐specific methylation patterns. In addition, we analyzed the association of identified DNA methylation marks in relation with Aluminum‐tolerance levels of studied genotypes. We found several differentially methylated regions (DMRs) and DMR‐associated genes (DAGs) that are linked with Al tolerance. Some of these DAGs have been previously reported as differentially expressed under Al exposure in O. sativa. Complementarily a Transposable Elements (TE) analysis revealed that specific aluminum related genes have associated‐TEs potentially regulated by DNA methylation. Interestingly, the DMRs and DAGs between Al‐tolerant and susceptible genotypes were different between O. sativa and O. glumaepatula, suggesting that methylation patterns related to Al responses are unique for each rice species. Our findings provide novel insights into DNA methylation patterns in wild and cultivated rice genotypes and their possible role in the regulation of plant stress responses.
Registration of ‘Cameo’ soft white winter club wheat
Authors: Garland‐Campbell Kimberly , Bellinger Brian S. , Carter Arron H. , Chen Xianming , DeMacon Patricia , Engle Doug , Hagerty Christina H. , Kiszonas Alecia , Klarquist Emily , Murray Timothy , Morris Craig , Neely Clark , Odubiyi Steven , Rashad Arash , See Deven , Steber Camille , Wen Nuan 
Published: August 2022

AbstractSoft white club winter wheat (Triticum aestivum L. ssp. compactum) is an important component of soft white wheat production in the Pacific Northwest of the United States. Most of the current club wheat production is in the <350 mm annual precipitation zone in central Washington, but there is interest in club wheat in the Palouse region of the United States (the counties of Whitman and Garfield in Washington and in Latah County in Idaho). Growers are continuing to grow the older club wheat cultivars ‘Cara’ and ‘Coda’, and there is a need for a new winter club wheat targeted to this region. ‘Cameo’ club wheat (Reg. no. CV‐1192, PI 699960), tested as ARS09X492‐6CBW, with awned spikes and soft white kernels, was developed using the bulk‐pedigree breeding method from the cross ARSC96059‐2/IL01‐11934//ARSC96059‐2‐0‐16. Cameo has better agronomic performance than other club wheat cultivars in trials on the Palouse, better stripe rust resistance than the club wheat ‘ARS Crescent’, tolerance to several major biotic and abiotic stressors, consistent good grain volume weight, mid‐season maturity and moderate height, excellent club wheat quality, and tolerance to low falling numbers. Cameo is not as competitive for grain yield in the traditional club wheat growing area in central Washington but is well suited to increasing the acreage of club wheat in the Palouse region of Idaho and Washington.
Understanding factors influencing demoralization among cancer patients based on the bio‐psycho‐social model: A systematic review
Authors: Hong Yu Ting , Lin Yu‐an , Pan Yu Xin , Lin Jia Ling , Lin Xiu Jing , Zhang Juan , Huang Fei Fei 
Published: August 2022

AbstractObjectiveDemoralization is a prevalent psychological problem among cancer patients and reflects a sense of subjective incompetence. This systematic review aims to identify factors influencing demoralization among cancer patients.MethodsEleven databases were systematically searched from database inception to 31 December 2020. Google Scholar and relevant reference lists were supplementarily searched. Studies reporting demoralization measured by Demoralization Scale and its influencing factors among cancer patients were included. A qualitative synthesis was conducted owing to the heterogeneity of the study outcome.ResultsA total of 49 studies involving 10,712 participants were included in this review. The results showed substantial effect size variation, but the psychological factors showed the strongest magnitude of association. Among the biological factors, the number of physical symptoms (mean r values [rs]: 0.331) was associated with increased demoralization. Among the psychological factors, negative psychological factors include hopelessness (mean rs: 0.633), desire for death (mean rs: 0.620), dignity‐related distress (mean rs: 0.595), depression (mean rs: 0.593), anxiety (mean rs: 0.589), psychological distress (mean rs: 0.465), and suicidal ideation (mean rs: 0.460) were related to increased demoralization; whereas positive psychological factors including hope (mean rs: −0.565), attachment security (mean rs: −0.530), and sense of coherence (mean rs: −0.453) were related to decreased demoralization. Among the social factors, social support (mean rs: −0.330) was negatively related to demoralization, and the demographic factors were still controversial. Quality of life was considered to be at the intersection of biopsychosocial factors and negatively associated with demoralization (mean rs: −0.599).ConclusionsDemoralization is a consequence of the interaction of physical, psychological, and social factors among cancer patients. Factors with a significant effect should not be overlooked when designing an intervention to reduce demoralization. It is necessary to distinguish demoralization from other negative psychological states and further explore positive psychological factors influencing demoralization among cancer patients.