bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermo‐Responsive Nanocomposite Bioink with Growth‐Factor Holding and its Application to Bone Regeneration
Authors: Kim Jun , Choi Hoon‐Seong , Kim Young‐Min , Song Soo‐Chang 
Published: December 2022

AbstractThree‐dimensional (3D) bioprinting, which is being increasingly used in tissue engineering, requires bioinks with tunable mechanical properties, biological activities, and mechanical strength for in vivo implantation. Herein, a growth‐factor‐holding poly(organophosphazene)‐based thermo‐responsive nanocomposite (TNC) bioink system is developed. The mechanical properties of the TNC bioink are easily controlled within a moderate temperature range (5–37 °C). During printing, the mechanical properties of the TNC bioink, which determine the 3D printing resolution, can be tuned by varying the temperature (15–30 °C). After printing, TNC bioink scaffolds exhibit maximum stiffness at 37 °C. Additionally, because of its shear‐thinning and self‐healing properties, TNC bioinks can be extruded smoothly, demonstrating good printing outcomes. TNC bioink loaded with bone morphogenetic protein‐2 (BMP‐2) and transforming growth factor‐beta1 (TGF‐β1), key growth factors for osteogenesis, is used to print a scaffold that can stimulate biological activity. A biological scaffold printed using TNC bioink loaded with both growth factors and implanted on a rat calvarial defect model reveals significantly improved bone regenerative effects. The TNC bioink system is a promising next‐generation bioink platform because its mechanical properties can be tuned easily for high‐resolution 3D bioprinting with long‐term stability and its growth‐factor holding capability has strong clinical applicability.
An RNA Paranemic Crossover Triangle as A 3D Module for Cotranscriptional Nanoassembly
Authors: Sampedro Vallina Néstor , McRae Ewan K.S. , Geary Cody , Andersen Ebbe Sloth 
Published: December 2022

AbstractRNA nanotechnology takes advantage of structural modularity to build self‐assembling nano‐architectures with applications in medicine and synthetic biology. The use of paranemic motifs, that form without unfolding existing secondary structure, allows for the creation of RNA nanostructures that are compatible with cotranscriptional folding in vitro and in vivo. In previous work, kissing‐loop (KL) motifs have been widely used to design RNA nanostructures that fold cotranscriptionally. However, the paranemic crossover (PX) motif has not yet been explored for cotranscriptional RNA origami architectures and information about the structural geometry of the motif is unknown. Here, a six base pair‐wide paranemic RNA interaction that arranges double helices in a perpendicular manner is introduced, allowing for the generation of a new and versatile building block: the paranemic‐crossover triangle (PXT). The PXT is self‐assembled by cotranscriptional folding and characterized by cryogenic electron microscopy, revealing for the first time an RNA PX interaction in high structural detail. The PXT is used as a building block for the construction of multimers that form filaments and rings and a duplicated PXT motif is used as a building block to self‐assemble cubic structures, demonstrating the PXT as a rigid self‐folding domain for the development of wireframe RNA origami architectures.
Multifunctional MoSe2@MXene Heterostructure‐Decorated Cellulose Fabric for Wearable Thermal Therapy
Authors: Xie Junwen , Zhang Yinhang , Dai Jinming , Xie Zuoxiang , Xue Jie , Dai Kun , Zhang Fei , Liu Dan , Cheng Junye , Kang Feiyu , Li Baohua , Zhao Yun , Lin Lin , Zheng Qingbin 
Published: December 2022

AbstractA booming demand for wearable electronic devices urges the development of multifunctional smart fabrics. However, it is still facing a challenge to fabricate multifunctional smart fabrics with satisfactory mechanical property, excellent Joule heating performance, highly efficient photothermal conversion, outstanding electromagnetic shielding effectiveness, and superior anti‐bacterial capability. Here, a MoSe2@MXene heterostructure‐based multifunctional cellulose fabric is fabricated by depositing MXene nanosheets onto cellulose fabric followed by a facile hydrothermal method to grow MoSe2 nanoflakes on MXene layers. A low‐voltage Joule heating therapy platform with rapid Joule heating response (up to 230 °C in 25 s at a supplied voltage of 4 V) and stable performance under repeated bending cycles (up to 1000 cycles) is realized. Besides, the multifunctional fabric also exhibits excellent photothermal performance (up to 130 °C upon irradiation for 25 s with a light intensity of 400 mW cm−2), outstanding electromagnetic interference shielding effectiveness (37 dB), and excellent antibacterial performances (>90% anti‐bacterial rate toward Escherichia coli, Bacillus subtilis, and Staphylococcus aureus). This work offers an efficient avenue to fabricate multifunctional wearable thermal therapy devices for mobile healthcare and personal thermal management.
Supramolecular Framework Constructed by Dendritic Nanopolymer for Stable Flexible Perovskite Resistive Random‐Access Memory
Authors: Ma Xueqing , Zhou Jianjun , Liu Yingliang , Xu Shengang , Cao Shaokui 
Published: December 2022

AbstractThe 3D supramolecular framework (3D‐SF) is constructed in this work through the hydrogen bond assisted self‐assembly of spherical dendritic nanopolymer to regulate the flexibility, stability, and resistive switching (RS) performance of perovskite resistive random‐access memory (RRAM). Herein, the 3D‐SF network acts as the perovskite crystallization template to regulate the perovskite crystallization process due to its coordination interaction of functional groups with the perovskite grains, presenting the uniform, pinhole‐free, and compact perovskite morphology for stable flexible RRAM. The 3D‐SF network in situ stays at the perovskite intergranular boundaries to crosslink the perovskite grains. The RS performance of 3D‐SF‐modified perovskite RRAM device is evidently improved to the ON/OFF ratio of 105, the cycle number of 500 times, and the data retention time of 104 s. The 50‐days exposure of unencapsulated RRAM device at ambient environment still makes the ON/OFF ratio to be kept at ≈104, indicating the potential of long‐term stable multilevel storage in the high‐density data storage. The bending action under different radius also does not change the RS performance due to the excellent bending‐resistant ability of 3D‐SF‐modified perovskite film. This work explores a novel polymer additive strategy to construct the 3D supramolecular framework for stable flexible perovskite optoelectronic devices.
Software‐defined networks‐enabled fog computing for IoT‐based healthcare: Security, challenges and opportunities
Authors: Kumhar Malaram , Bhatia Jitendra 
Published: December 2022

AbstractThe Internet of Things (IoT) is a crucial technology in the healthcare industry thanks to recent developments in automated data collection. Current statistics of the healthcare sector show that it is expanding at a remarkable rate. However, the performance of the healthcare system is impacted by many challenges, such as security, privacy, latency, scalability, and heterogeneity that come with advancement. Fog computing and software‐defined networks (SDN) are critical enabling technologies that help to improve IoT‐based healthcare systems by ensuring timely and reliable data provisioning for use in healthcare applications. SDN solves interoperability, device management, and network management issues and automates patient health monitoring without human interaction. SDN and fog computing in IoT‐based healthcare can optimize device communication and computing power at a low cost. SDN‐enabled fog computing has lower latency and better security than cloud‐based IoT healthcare architecture. The researchers have not entirely discovered SDN‐enabled fog computing to the best of our knowledge. This paper covers healthcare IoT technicalities and related technologies. We examined ways to merge SDN, fog computing, and IoT to improve healthcare solutions. Finally, we concluded the paper with research issues and future healthcare system improvements.
Modeling the behavior of shear‐dominated walls retrofitted with ultra high‐performance fiber‐reinforced concrete jackets
Authors: Mihaylov Boyan I. , Franssen Renaud 
Published: December 2022

AbstractLarge‐scale tests of shear‐dominated walls with ultra high‐performance fiber‐reinforced concrete (UHPFRC) jackets have shown the high effectiveness of this retrofitting solution. The jackets can suppress brittle shear failures and result in a ductile response governed by yielding of the flexural reinforcement. In addition, due to the low porosity of UHPFRC and the crack control provided by the fibers, the jackets can also provide an effective corrosion protection. However, while this retrofitting solution is very promising, there is a lack of mechanical models that can predict the effect of UHPFRC jackets. This paper proposes such a model based on a three‐parameter kinematic theory (3PKT) for reinforced concrete walls. The 3PKT is extended by modeling three important effects associated with the UHPFRC jackets: tension in the fibers across the critical diagonal cracks, increased compression resistance of the critical loading zones, and enhanced crack control. The results show that the proposed approach can be used to design the properties of UHPFRC jackets in order to achieve a desired structural response in terms of strength, ductility, and crack control.
Visual thinking strategies for English learners: Learning language through the power of art
Authors: Clark‐Gareca Beth , Meyer Tom 
Published: December 2022

AbstractVisual thinking strategies (VTS) is a museum‐based technique with exciting potential for English learners' (ELs') language development. Originally used to engage novice viewers in discussing art pieces, English language arts and ESOL educators have enthusiastically adapted VTS to their instructional repertoires in order to bolster students' literacy development, language learning, and content learning. In this article, the authors consider the classroom use of VTS with linguistically diverse learners. They present its classic form through a vignette to illustrate how the visual stimulus, coupled with three questions—What's going on in this picture? What makes you say that? What else can we find?—can help students produce linguistically scaffolded content. The researchers draw from the literature and identify ways that VTS implementation has been shown to support learners' development of language modalities, critical thinking, and affective skills. Finally, the authors encourage educators to explore and expand their teaching practices with ELs to try this refreshing technique in their classrooms.
Field‐data‐based reliability analysis of power converters in wind turbines: Assessing the effect of explanatory variables
Authors: Pelka Karoline , Fischer Katharina 
Published: December 2022

AbstractFrequent failures of power converters affect the availability of wind turbines and cause considerable maintenance costs. To enhance the reliability of power converters in wind turbines, the prevailing causes and modes of failures have to be identified. This publication contributes to root‐cause analysis of the power‐converter failures in wind turbines from a statistical point of view. For this purpose, the failure behavior of power‐converters is modeled via lifetime models as well as repairable‐system models. By means of regression models, covariates are incorporated, including both design‐related and site‐specific covariates. The analysis is based on a worldwide extensive field‐data collection covering more than 9000 turbines, including different turbine designs, sites, and ages. The results obtained by means of the applied regression models indicate that the location of the power converter within the turbine, the cooling system, the converter rated power, the DC‐link voltage, the IGBT‐module manufacturer, and the commissioning date of the turbine as design‐related covariates have a significant effect on the phase‐module failure behavior and with that on converter reliability. Among the site‐specific covariates, the analysis results confirm humidity as a likely significant driver of failures.
Finite element method (FEM) analyses of the entropy and convective process within an inclined porous T‐shaped domain using nano‐encapsulated phase change materials (NEPCMs)
Authors: Ahmed Sameh E. , Al‐Kouz Wael , Aly Abdelraheem M. 
Published: December 2022

AbstractNumerical treatments based on the finite element method (FEM) are carried out for the entropy generation and convective process within inclined T‐shaped enclosures using the nano–encapsulated phase change materials (NEPCMs). The domain is filled by glass balls as a porous medium and the Brinkman‐extended non‐Darcy model is applied. For the worked mixture, the overall heat capacity of the encapsulated nanoparticles is estimated using the heat capacity of the core and shell and sine profiles are introduced for the latent heat of the change phase. Three different designs are performed for the considered geometry based on the aspect ratio of the boundaries. During the simulations, various values of the fusion temperature , the inclination angle γ and different designs of the considered domain are taken into account and the Ryleigh‐Darcy number is varied between 102 and 104. The main outcomes disclosed that, for the fixed values of and γ (, the increase in the fusion temperature causes a shifting of the melting‐solidification zones from the top boundary to the bottom of the horizontal channel.
A strong positivity‐preserving finite volume scheme for convection–diffusion equations on tetrahedral meshes
Authors: Zhao Fei , Sheng Zhiqiang , Yuan Guangwei 
Published: December 2022

AbstractIn this paper, we present a nonlinear strong positivity‐preserving finite volume (FV) scheme on tetrahedral meshes for nonstationary convection–diffusion equations with general right‐hand term, whose exact solution is assumed to be non‐negative, while the right‐hand term is allowed to be negative. A nonlinearization technique, which can be regarded as a correction of the linear scheme, is used to the discretization of both the diffusion and convection terms. Moreover, we impose nonlinear correction for the right‐hand term if it is a sink. The resulting scheme is cell‐centered and locally conservative, and has a fixed stencil. And in the construction of the scheme, it is unnecessary to assume that auxiliary unknowns are non‐negative. Besides, the existence of a solution and the strong positivity‐preserving property for the nonlinear system are proved. Finally, the numerical examples are presented to show the positivity of the new scheme and the second‐order convergence rate for the solution.
A chemotaxis‐Stokes system with nonhomogeneous boundary condition: Global large‐datum solution and asymptotic behavior
Authors: Jin Chunhua 
Published: December 2022

AbstractIn this paper, we study the global solvability and stabilization to a chemotaxis‐Stokes model with porous medium diffusion and mixed nonhomogeneous boundary value conditions in three‐dimensional space. When m is slightly bigger than 1, we can get a solution with strong regularity, but when m is close to 1, the regularity of the solution becomes weak. Specifically, our results are divided into two cases: (i) and (ii) . For case (i), we obtain a global bounded weak existence with good regularity for any initial datum, and for decay incoming oxygen, we also prove that the bounded solution will converge to a constant steady state. But for case (ii), it is hard to obtain the boundedness of solutions, and a global “very” weak solution is obtained.
Ternary hybrid nanofluids flow on a spinning disk with nonlinear thermal radiation
Authors: Gohar  , Saeed Anwar , Alyami Maryam Ahmed , Akkurt Nevzat , Khan Tahir Saeed , Gul Taza 
Published: December 2022

AbstractResearchers are interested in the thermophysical properties of nanofluids because of the successful use of nanofluids in state‐of‐the‐art technology and engineering. Hence, hybrid and tri‐hybrid nanofluid is used to ensure the required thermal features. An incompressible ternary hybrid nanofluid (NF) flow comprised of (Al2O3) aluminum oxide, (CuO) copper oxide, and (TiO2) titanium dioxide nanoparticles across an impermeable infinite spinning disc are addressed in the present study. The magnetic field and second‐degree thermal radiation were used in the proposed model. The main aim of this assessment is to raise the consciousness of energy exhaustion in the industrial and technical sectors. The numerous applicability of ternary nanoparticles (NPs) make the proposed model more plausible, such as, Al2O3 has society‐enhancing and life‐extending applications, CuO has unique electrical, optical, and magnetic properties, while TiO2 is excessively used in plastic and paper production. For this purpose, the sensations have been expressed in the form of differential equations and the consequences are obtained using the homotopy analysis method (HAM). The graphics and statistical outcomes of the analytical simulation of the proposed model are reported through Figures and Tables.
Gravity as a portal to reheating, leptogenesis and dark matter
Authors: Barman Basabendu , Cléry Simon , Co Raymond T. , Mambrini Yann , Olive Keith A. 
Published: December 2022

Abstract
We show that a minimal scenario, utilizing only the graviton as an intermediate messenger between the inflaton, the dark sector and the Standard Model (SM), is able to generate simultaneously the observed relic density of dark matter (DM), the baryon asymmetry through leptogenesis, as well as a sufficiently hot thermal bath after inflation. We assume an inflaton potential of the form V(ϕ) ∝ ϕk about the minimum at the end of inflation. The possibility of reheating via minimal gravitational interactions has been excluded by constraints on dark radiation for excessive gravitational waves produced from inflation. We thus extend the minimal model in several ways: i) we consider non-minimal gravitational couplings — this points to the parameter range of DM masses $$ {M}_{N_1} $$

M

N
1

≃ 2–10 PeV, and right-handed neutrino masses $$ {M}_{N_2} $$

M

N
2

≃ (5–20) × 1011 GeV, and TRH ≲ 3 × 105 GeV (for k ≤ 20); ii) we propose an explanation for the PeV excess observed by IceCube when the DM has a direct but small Yukawa coupling to the SM; and iii) we also propose a novel scenario, where the gravitational production of DM is a two-step process, first through the production of two scalars, which then decay to fermionic DM final states. In this case, the absence of a helicity suppression enhances the production of DM and baryon asymmetry, and allows a great range for the parameters including a dark matter mass below an MeV where dark matter warmness can be observable by cosmic 21-cm lines, even when gravitational interactions are responsible for reheating. We also show that detectable primordial gravitational wave signals provide the opportunity to probe this scenario for TRH ≲ 5 × 106 GeV in future experiments, such as BBO, DECIGO, CE and ET.
Three-loop helicity amplitudes for quark-gluon scattering in QCD
Authors: Caola Fabrizio , Chakraborty Amlan , Gambuti Giulio , von Manteuffel Andreas , Tancredi Lorenzo 
Published: December 2022

Abstract
We compute the three-loop helicity amplitudes for $$ q\overline{q} $$
q

q
¯

→ gg and its crossed partonic channels, in massless QCD. Our analytical results provide a non-trivial check of the color quadrupole contribution to the infrared poles for external states in different color representations. At high energies, the qg → qg amplitude shows the predicted factorized form from Regge theory and confirms previous results for the gluon Regge trajectory extracted from qq′ → qq′ and gg → gg scattering.
Non-planar BCFW Grassmannian geometries
Authors: Paranjape Shruti , Trnka Jaroslav , Zheng Minshan 
Published: December 2022

Abstract
In this paper, we study non-adjacent BCFW recursion relations and their connection to positive geometry. For an adjacent BCFW shift, the n-point NkMHV tree-level amplitude in $$ \mathcal{N} $$
N
= 4 SYM theory is expressed as a sum over planar on-shell diagrams, corresponding to canonical “dlog” forms on the cells in the positive Grassmannian G+(k, n). Non-adjacent BCFW shifts naturally lead to an expansion of the amplitude in terms of a different set of objects, which do not manifest the cyclic ordering and the hidden Yangian symmetry of the amplitude. We show that these terms can be interpreted as dlog forms on the non-planar Grassmannian geometries, generalizing the cells of the positive Grassmannian G+(k, n) to a larger class of objects which live in G(k, n). We focus mainly on the case of NMHV amplitudes and discuss in detail the Grassmannian geometries. We also propose an alternative way to calculate the associated on-shell functions and dlog forms using an intriguing connection between Grassmannian configurations and the geometry in the kinematical space.
A new quantization principle from a minimally non time-ordered product
Authors: Anselmi Damiano 
Published: December 2022

Abstract
We formulate a new quantization principle for perturbative quantum field theory, based on a minimally non time-ordered product, and show that it gives the theories of physical particles and purely virtual particles. Given a classical Lagrangian, the quantization proceeds as usual, guided by the time-ordered product, up to the common scattering matrix S, which satisfies a unitarity or a pseudounitarity equation. The physical scattering matrix Sph is built from S, by gluing S diagrams together into new diagrams, through non time-ordered propagators. We classify the most general way to gain unitarity by means of such operations, and point out that a special solution “minimizes” the time-ordering violation. We show that the scattering matrix Sph given by this solution coincides with the one obtained by turning the would-be ghosts (and possibly some would-be physical particles) into purely virtual particles (fakeons). We study tricks to descend and ascend in a unique way among diagrams, and illustrate them in several examples: the ascending chain from the bubble to the hexagon, at one loop; the box with diagonal, at two loops; other diagrams, with more loops.
Dark photon vortex formation and dynamics
Authors: East William E. , Huang Junwu 
Published: December 2022

Abstract
We study the formation and evolution of vortices in U(1) dark photon dark matter and dark photon clouds that arise through black hole superradiance. We show how the production of both longitudinal mode and transverse mode dark photon dark matter can lead to the formation of vortices. After vortex formation, the energy stored in the dark photon dark matter will be transformed into a large number of vortex strings, eradicating the coherent dark photon dark matter field. In the case where a dark photon magnetic field is produced, bundles of vortex strings are formed in a superheated phase transition, and evolve towards a configuration consisting of many string loops that are uncorrelated on large scales, analogous to a melting phase transition in condensed matter. In the process, they dissipate via dark photon and gravitational wave emission, offering a target for experimental searches. Vortex strings were also recently shown to form in dark photon superradiance clouds around black holes, and we discuss the dynamics and observational consequences of this phenomenon with phenomenologically motivated parameters. In that case, the string loops ejected from the superradiance cloud, apart from producing gravitational waves, are also quantised magnetic flux lines and can be looked for with magnetometers. We discuss the connection between the dynamics in these scenarios and similar vortex dynamics found in type II superconductors.