bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of crystallization and thermal degradation behavior on mechanical properties of fiber‐reinforced composites during post‐annealing
Authors: Wang Jun , Li Xiaodong , Wu Ting , Chen Zhanchun , Zhao Runtian , Wang Zhihui , Liang Jianguo 
Published: December 2024

AbstractPost‐annealing treatment is one of the most effective methods for enhancing the mechanical properties of composite materials. This study focuses on carbon fiber reinforced nylon 6 (CF/PA6) composites via injection molding, specifically investigating the effects of high‐temperature post‐annealing duration on their mechanical properties, crystallization and thermal degradation behavior. The findings indicate that the tensile strength and modulus of CF/PA6 composites exhibit a complex trend with varying annealing times, attributed to the combined effect of crystallization and thermal degradation behavior. Notably, samples annealed for 24 h exhibited the best tensile strength and modulus, with significant improvements of 14.7% and 21.4%, respectively, compared to the original samples. This work holds significant implications for enhancing the performance of composites.Highlights
Mechanical properties of composites change complicatedly during post‐annealing.
Combined effect of crystallization and thermal degradation behavior.
The process method enables high‐performance and controllable manufacturing.
Introduction of high‐performance yarns into super‐composites based on three‐dimensional woven structures to enhance their electromagnetic absorption properties
Authors: Pang Xianke , Zhou Xinghai , Gao Yuan , Qian Yongfang , Lyu Lihua 
Published: December 2024

AbstractHigh‐performance electromagnetic absorption (EMA) materials were becoming increasingly in demand as radar technology advances. One significant way to increase the performance of EMA composite structures was through flexible design. In this work, three‐dimensional (3D) woven preforms with varying absorption layers and structures were woven on an ordinary loom. Subsequently, the vacuum‐assisted resin transfer molding (VARTM) molding method was used to prepare 3D woven EMA materials with good EMA capabilities. Then, experimental research examined the impact of varying fiber yarns, absorption layers, and incidence angles (θ) on the EMA characteristics of the 3D woven EMA materials. Lastly, Computer Simulation Technology (CST) electromagnetic simulation was used to simulate the optimal experimental result and Radar Cross Section (RCS). The results demonstrated that changing fiber yarn structure of 3D woven EMA materials can significantly improve the EMA capabilities of the 3D woven EMA materials. Simultaneously, the EMA capabilities of the 3D woven EMA materials was influenced considerably by the number of the absorption layers and the incidence angle of the electromagnetic wave. For example, the six‐layer 3D woven EMA materials (A(A2C)3C) with carbon fiber yarns introduced in the Z‐direction yarns achieved an effective absorption bandwidth of up to 8.34 GHz at a thickness 9 mm. At an incidence angle of 90°, the most excellent reflection loss value of −44.25 dB could be attained. At the same time, the shortcomings of the experiments were further optimized by CST, and RCS understood the suitability of the EMA materials. This study provided a vital research methodology for designing and developing high‐performance EMA materials.Highlights
3D preforms were woven on an ordinary loom.
The VARTM was used to prepare 3D woven EMA materials.
Introduction of carbon fiber yarns to improve EMA capabilities.
The shortcomings of the experiments were further optimized by Computer Simulation Technology.
Understood the suitability of the EMA materials by Radar Cross Section.
Mechanical and ballistic performance of individual and synergistic filler reinforced glass fiber epoxy composites
Authors: Dharani Kumar S. , Nitin M. S. , Kumar Saurabh S. , Muthukumaran N. , Magarajan U. 
Published: December 2024

AbstractThis study examines the influence of individual (Graphene) and synergistic fillers (Graphene + Boron Carbide (B4C)) on the mechanical and ballistic performance of glass fiber epoxy‐reinforced composites (GFERCs). The different filler‐reinforced GFERCs were processed using the compression molding technique and cut as per testing standards. The results showed that the sample GF3 which had both the graphene and B4C filler together had significantly enhanced the tensile, flexural, hardness, and impact properties. The properties showed an improvement of 23.3%, 34%, 7%, and 13%, respectively when compared with the unfilled GF1 sample. The ballistic test results also revealed this synergistically filled GF3 sample had the least back‐face signature (BFS) value of 23.5 mm after impact. Fractographic studies showed that the synergistic effect of graphene and B4C also improved the bonding between the epoxy resin and glass fiber. The high toughness required for energy absorption is provided by matrix hardening, strong interfacial bonding, and fiber pullouts. Mainly the hard strike face created by the B4C particles and the energy transfer provided by the graphene particles proved pivotal in ensuring energy dissipation in the composite. Finally, it was observed that the synergistic fillers played the most important role in improving the performance of GFERCs by enhancing the energy dissipation mechanisms.Highlights
Multiple fillers (Graphene+B4C) enhanced the mechanical and ballistic properties.
Synergistic toughening provided by the B4C and graphene particles.
Hybrid fillers exhibited strong interfacial bonding.
Transforming automotive polypropylene components into 3D printing filaments
Authors: Gonçalves Peterson A. de Souza , Barroso Caique de Sousa G. S. , de Oliveira Daniel Magalhães , Mulinari Daniella R. , Ghussn Luciana 
Published: December 2024

AbstractThe automotive sector plays a fundamental role in the search for solutions for the reuse, remanufacturing and recycling of materials, parts and components of vehicles produced to mitigate their environmental impacts. The automotive sector has requested to mitigate its environmental impacts through the reuse, remanufacturing, and recycling of materials, parts, and components of the vehicles produced. This work presents a proposal to reuse discarded automotive parts made of talc‐reinforced polypropylene (20 and 40% w/w) to produce filaments used for 3D printing. To produce the filament, firstly discarded parts were cleaned, washed, and dried. Afterward, they were ground and extruded through a machine, then used to print test samples using a fused deposition modeling (FDM) 3D printer. Filaments were characterized using scanning electron microscopy (SEM), thermogravimetry (TGA), differential scanning calorimetry (DSC), and Melt flow index techniques. Results showed that adding talc did not significantly influence the filament's diameter, density, extrusion temperature, and roughness. Also, talc enhanced the compatibility, increasing the interaction between the composite components. This led to a reduction in the melt flow index, as the chain mobility was decreased. The developed composite filaments (20 and 40% w/w) were successfully 3D printed and the amount of talc reinforced in PP influenced the Shore D hardness values. Thus, the possibility of including plastic parts produced by FDM technology is an innovative option for car manufacturers, representing an opportunity to empower small‐scale producers of polymers.Highlights
3D printing provides agile prototyping and expands design possibilities.
Reuse of automotive parts to produce filaments for 3D printing.
Filaments of talc‐reinforced polypropylene (20% and 40% w/w).
Filament characterization through SEM, TGA, DSC, and MFI techniques.
The composite filaments (20 and 40% w/w) were successfully 3D printed.
Effects of filament extrusion temperature and 3D printing parameters on the structure and mechanical properties of poly(butylene adipate‐co‐terephthalate)/poly (lactic acid) blends
Authors: de Melo Eduarda Chiabai Rodrigues , Lona Liliane Maria Ferrareso , Vieira Roniérik Pioli 
Published: December 2024

AbstractPoly(butylene adipate‐co‐terephthalate) (PBAT) is a biodegradable polymer derived from fossil‐based raw materials. Combined with poly(lactic acid) (PLA), a major material used in 3D printing, PBAT provides mechanical properties that are particularly attractive for applications requiring flexible 3D‐printed objects. However, blends with high PBAT content in fused filament fabrication (FFF) are currently not well‐documented, and optimal printing parameters remain unclear for advancing this field. This study aims to address this gap by first exploring the extrusion of filaments at different temperatures, followed by analyzing the printing conditions for PBAT/PLA blends to enhance their spectrum of applications. Using a commercial blend, Ecovio® (86 mol% PBAT), this paper demonstrates the feasibility of employing high PBAT content in the additive manufacturing process. Printing parameters such as nozzle temperature and speed were assessed based on the visual quality and mechanical properties of the specimens. The results indicate that extruding at 120°C yields smoother filaments with adequate diameter for FFF applications. Regarding 3D‐printing analysis, variations in parameters did not significantly impact elongation at break. However, increasing the nozzle temperature from 180 to 210°C and the printing speed from 50 to 80 mm/s resulted in a 29% increase in tensile strength and a 77% increase in the modulus of elasticity of the 3D‐printed specimens which is attributed to better interlayer adhesion. Therefore, high PBAT content blends can improve the performance of 3D‐printed materials, and parameters must be optimized to exploit their effectiveness fully across various industrial uses.Highlights
Extrusion temperature variations minimally affect PLA/PBAT thermal properties.
Higher nozzle temperature and speed significantly improve mechanical properties.
Optimal printing conditions for high PBAT blends enable flexible materials.
PBAT blends show potential for enhanced 3D printing performance in all sectors.
Effect of Organic Bases on Fluorescence Quenching Behaviors and Acid–Base Responsivity of Coumarin‐Based π‐Conjugated Polymers Compared With 3,7‐Dibromo‐4‐Methylcoumarin and 3,7‐Bis(Phenylethynyl)‐4‐Methylcoumarin
Authors: Kaneko Yuya , Wang Aohan 
Published: December 2024

ABSTRACTπ‐Conjugated polymers containing coumarin backbone in the main chain show acid–base responsive fluorescence. The α‐pyrone ring in the coumarin unit undergoes hydrolysis by inorganic bases and triggers the change of the expanded π‐conjugated system, resulting in the reversible fluorescence on/off switching, dual‐colored halochromic fluorescence, and alkali metal ion recognition. We assume that the coumarin polymers form complexes with alkali metal ions during hydrolysis. In this study, we investigated the fluorescence quenching behaviors and acid–base responsivity of 3,7‐dibromo‐4‐methylcoumarin, 3,7‐bis(phenylethynyl)‐4‐methylcoumarin (model compound), and two types of coumarin‐based π‐conjugated polymers by the addition of organic bases for comparison. Consequently, the model compound demonstrated remarkably reversible on/off switching behaviors, highlighting the significant role of the metal‐free organic bases and HCl aqueous solution in facilitating the ring‐opening and closing properties. The coumarin‐based polymers demonstrated notable reversibility specifically in PL intensity. These results are expected to enhance our understanding of how alkali metal ions are recognized by coumarin π‐conjugated polymers.
A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma
Authors: Glazar Daniel J. , Sahebjam Solmaz , Yu Hsiang‐Husan M. , Chen Dung‐Tsa , Bhandari Menal , Enderling Heiko 
Published: December 2024

AbstractPatients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression. We propose a novel sample size analysis for Bayesian individual dynamic predictions and demonstrate proof of principle. We coupled a nonlinear mixed effects tumor growth inhibition model with a survival model. Longitudinal tumor volumes and time‐to‐progression were simulated for 2000 in silico rHGG patients. Bayesian individual dynamic predictions of PFS curves were evaluated using area under the receiver operating characteristic curve (AUC) and Brier skill score (BSS). We investigated the effects of sample size on AUC and BSS margins of error. A power law relationship was observed between sample size and margins of error of AUC and BSS. Sample size was also found to be negatively correlated with margins of error and landmark time. We explored the use of this sample size analysis as a clinical look‐up table for prospective clinical trial design and retrospective clinical data analysis. Here, we motivate the application of Bayesian individual dynamic predictions as a clinical end point for clinical trial design. Doing so could aid in the development of study protocols with patient‐specific adaptations (escalate or de‐escalate dose or frequency of drug administration, increase or decrease the frequency of follow‐up, or change therapeutic modality) according to patient‐specific prognosis. Future developments of this approach will focus on further model development and validation.
Remote Implementation of Particular Subsets of Operations in two Degrees of Freedom
Authors: Wang Meiyu , Cao Jiashuai , Di Bing 
Published: December 2024

AbstractHyperentanglement of photon systems is a fascinating resource in long‐distance quantum information processing and communication for its improvement to the channel capacity. Remote implementation of quantum operation (RIO) using a hyperentangled state has attracted much attention for its critical role in many quantum applications. In this study, a protocol for the remote implementation of particular subsets of operations exploiting a pair of photons hyperentangled in their polarization and time‐bin degrees of freedom (DOFs) is presented. The core of this scheme is to construct polarization and time‐bin parity‐check quantum nondemolition detectors (QNDs), which mainly rely on the effective cross‐Kerr nonlinear interaction and X homodyne measurements. The efficiency of the scheme is calculated in terms of bits of transmission and consumption. Compared with the RIO using the polarization‐spatial‐mode hyperentangled state, the present scheme saves resources since there is no requirement for two paths for each photon. Further, given some applicable experimental parameters, the fidelity due to the effect of decoherence in the circuits is analyzed, and the result demonstrates a high fidelity in the presence of photon dissipation. Since the time‐bin DOF is more robust over a channel, especially from space to earth, this RIO protocol presents a promising approach for building a global quantum‐communication network.
Comprehensive Optimization of Packing Parameters for Hydraulic‐Packed Capillary Columns
Authors: Hu Chunqiu , Fu Hang , Wang Lulu , Gao Yuan , Li Ruidong , Li Zhen , Li Shuai , Xie Xiaowang , Ren Chongxi , Guo Fang , Tan Minjia , Zhai Linhui 
Published: December 2024

ABSTRACTRationaleThe performance of the capillary column directly impacts the separation efficiency of complex sample in liquid chromatography–mass spectrometry–based proteomics studies. The hydraulic packing system offers an effective solution by reducing packing time and expediting the preparation process of column preparation. However, its operational complexity and strict parameter regulation requirements hinder efficient application.MethodsThis study developed an innovative device for the hydraulic capillary column packing, followed by a systematic optimization and evaluation of crucial parameters such as packing pressure, magnetic stirring rate, concentration of solid‐phase material, and choice of packing solvent in the capillary column packing process.ResultsThe comprehensive evaluation of the prepared capillary columns showed that the hydraulic packing method enabled rapid and large‐scale preparation, while also demonstrating exceptional stability and reproducibility.ConclusionsThe proposed hydraulic capillary column packing strategy in this study holds theoretical and practical implications for advancing the technology of column preparation, enhancing separation efficiency, and expanding the depth of analysis in proteomics research.
How media coverage elicits strategic change: The moderating role of the business model design
Authors: Klein Sascha P. , Spieth Patrick , Ricart Joan Enric , Noble Charles H. 
Published: December 2024

AbstractResearch SummaryPrior research indicates that negative media coverage of business activities encourages a firm to engage in strategic change, but the conditions for this strategic focus have drawn less scholarly attention. Considering a firm's business model design (BMD) with distinct sources for value creation, we argue that the effect of negative media coverage on strategic change is contingent on the BMD. An analysis of longitudinal data from 96 established firms shows that novelty‐centered BMDs reduce strategic change in response to negative media coverage. We contribute to research regarding strategic change in response to outside evaluations by explaining an important contingent factor related to strategy. We also expand on previous research indicating that managerial behaviors and attributes moderate the main effect of negative media coverage and provide a more nuanced understanding of this effect from a business model perspective.Managerial SummaryOur study explores how negative media coverage affects strategic changes in large firms, focusing on the role of the BMD. We found that firms with a novelty‐centered BMD prioritizing innovation are less likely to alter their strategies in response to negative media coverage, suggesting that these firms are confident in their innovative approaches despite external criticism. Conversely, efficiency‐centered BMDs, which focus on operational efficiency, did not show a meaningful moderating effect. For managers, this implies that firms with innovation‐oriented business models may need less frequent strategic adjustments in the face of negative media. However, they should still communicate strategically to address potential long‐term reputational risks.
A Robust and Efficient Representation‐based DNA Storage Architecture by Deep Learning
Authors: Su Yanqing , Chu Ling , Lin Wanmin , Yao Xiangyu , Xu Peng , Liu Wenbin 
Published: December 2024

AbstractAs one main form of multimedia data, images play a critical role in various applications. In this paper, a representation‐based architecture is proposed which takes advantage of the outstanding representation and image‐generation abilities of deep learning (DL). This architecture includes two DL models: an autoencoder and a U‐Net network which achieve the representation, construction, and refinement of images from the noisy reads in DNA storage. Simulation experiments demonstrate that it can reconstruct images of moderate quality in scenarios where insertion‐deletion‐substitution (IDS) errors are less than 6%. Combined with the feature quantization, it also offers a flexible way to achieve a balanced trade‐off between compression ratio and image quality by selecting an approximate representation channel number. Additionally, the quality of images can be boosted by using multiple reads which are a common situation in DNA storage. A wet lab practice that successfully reconstructs an image stored in 14 plasmids further proves the feasibility of the proposed architecture. Instead of storing the original image information, the representation‐based architecture provides a competitive solution which achieves robust and efficient DNA storage for large‐scale image applications.
Photoswitchable Gold Nanoparticles for Super‐Resolution Radial Fluctuation Imaging in Nanostructured Materials
Authors: Probst Julie , Mathur Prerit , Gai Meiyu , Si Tieyan , He Qiang , Gao Changyong , Gao Hanchao , Sapelkin Andrei V , Kappl Michael , Qiu Guangyu , Wang Jing , Frueh Johannes , Stavrakis Stavros 
Published: December 2024

AbstractCamera‐based super‐resolution approaches surpass the diffraction limit of conventional optical microscopy by relying on the stochastic activation and precise localization of fluorescent molecules. However, traditional probes such as organic dyes and quantum dots present challenges such as photobleaching and blinking variability, which limit their application in super‐resolution imaging, particularly in non‐liquid environments. Herein, the study demonstrates the potential of gold nanoparticles as a promising alternative for localization‐based super‐resolution imaging. The study specifically investigates how different surface functionalizations and states (aggregated vs isolated) of gold nanoparticles impact their photoluminescence properties, including fluorescence intensity, lifetime, and blinking behavior. By leveraging the intrinsic photoluminescence of gold nanoparticles, their capability is demonstrated as probes to achieve super‐resolution imaging of nano‐sized structures, at a resolution down to 100 nm, without the need for conventional imaging buffers. These proof‐of‐concept applications, which include imaging of silica nanosized wrinkles and logos, reveal that gold nanoparticles exhibit superior photophysical properties compared to common organic fluorophores, offering a promising alternative for super‐resolution imaging. This work paves the way for the application of super‐resolution fluorescence microscopy in materials science where non‐liquid environments often restrict the use of traditional probes.
Interfacial Engineering of Degenerately Doped V0.25Mo0.75S2 for Improved Contacts in MoS2 Field Effect Transistors
Authors: Maity Dipak , Yadav Rajesh Kumar , Levi Adi , Sharma Rahul , Ber Emanuel , Yalon Eilam , Biroju Ravi. K. , Vretenár Viliam , Narayanan Tharangattu N. , Naveh Doron 
Published: December 2024

Abstract2D transition‐metal dichalcogenide semiconductors such as MoS2 are identified as a platform for next‐generation electronic circuitries. However, the progress toward industrial applications is still lagging due to imperfections of wafer‐scale deposition techniques and in‐contact parasitic impedance affecting device integration in large circuits and systems. Here, on contact engineering of large‐scale, chemical vapor deposition (CVD) grown monolayer MoS2 films is reported, leading to improved performance of field effect transistors. The transistor performance of monolayer pure MoS2 is initially characterized by its ION/IOFF ratio (106), carrier density (≈1012 cm−2), and mobility (≈10 cm2 Vs−1), and the Schottky barrier height (SBH) of conventional metallic Au contact of MoS2 (≈215 meV). Then, a CVD‐grown degenerately‐doped monolayer of alloy V0.25Mo0.75S2 is introduced between Au and MoS2 of a modified transistor, reducing the SBH to ≈100 meV. The reduced contact resistance (≈50%) of the device with an atomically thin contact interface complies with the theoretical model and is free from Fermi‐level pinning effects. It is resilient to the high temperatures that are characteristic of physical metallization methods and is readily scalable.