Properties Of Matrix Research Articles

Viscoelastic Alginate‐Based Hydrogels: Regulating Neural Stem Cell Behavior Through Viscosity

ABSTRACTThe mechanical properties of the extracellular matrix (ECM) play a crucial role in cell adhesion, proliferation, and differentiation. In this study, a series of viscoelastic alginate‐based blend hydrogels with tunable viscosity were prepared to investigate the effects of their viscosity on the spreading and viability of NE‐4C neural stem cells. The hydrogels with the same initial modulus but different viscosities were obtained by adjusting the degree of crosslinking through covalently and ionically crosslinked techniques. The study results indicated that at a low initial modulus, an increase in the viscosity of the viscoelastic substrate could lead to a rise in the spreading area of NE‐4C neural stem cells, along with the formation of synapses, suggesting that an increase in substrate viscosity is beneficial for cell adhesion and spreading. Furthermore, the survival rate of NE‐4C neural stem cells on a high‐viscosity matrix is significantly higher than on a low‐viscosity matrix, as the high‐viscosity matrix provides a more stable microenvironment for the cells. These results can not only enhance the understanding of the effect of the viscoelasticity of biomaterials on neural stem cell behavior but also provide experimental data and theoretical support for designing new biomaterials suitable for neural tissue engineering.

FRESH 3D Bioprinting of Collagen Types I, II, and III.

Collagens play a vital role in the mechanical integrity of tissues as well as in physical and chemical signaling throughout the body. As such, collagens are widely used biomaterials in tissue engineering; however, most 3D fabrication methods use only collagen type I and are restricted to simple cast or molded geometries that are not representative of native tissue. Freeform reversible embedding of suspended hydrogel (FRESH) 3D bioprinting has emerged as a method to fabricate complex 3D scaffolds from collagen I but has yet to be leveraged for other collagen isoforms. Here, we developed collagen type II, collagen type III, and combination bioinks for FRESH 3D bioprinting of millimeter-sized scaffolds with micrometer scale features with fidelity comparable to scaffolds fabricated with the established collagen I bioink. At the microscale, single filament extrusions were similar across all collagen bioinks with a nominal diameter of ∼100 μm using a 34-gauge needle. Scaffolds as large as 10 × 10 × 2 mm were also fabricated and showed similar overall resolution and fidelity across collagen bioinks. Finally, cell adhesion and growth on the different collagen bioinks as either cast or FRESH 3D bioprinted scaffolds were compared and found to support similar growth behaviors. In total, our results expand the range of collagen isoform bioinks that can be 3D bioprinted and demonstrate that collagen types I, II, III, and combinations thereof can all be FRESH printed with high fidelity and comparable biological response. This serves to expand the toolkit for the fabrication of tailored collagen scaffolds that can better recapitulate the extracellular matrix properties of specific tissue types.

3D Printed Ultra‐Fast Plastic Scintillators Based on Perovskite‐Photocurable Polymer Composite

AbstractAdditive manufacturing technology is exploited for the first time to build a complex geometry scintillator using a thermosetting photocurable resin filled by lead halide perovskite as an active material. To this aim, an innovative nanocomposite is developed based on Cs4PbBr6 perovskite powders as fillers and photocurable resin as matrix, adopting stereolithography as a manufacturing process. The use of high‐Z lead‐based perovskite filler is needed for the detection of ionizing radiation and the conversion into visible light, while the polymer matrix provides 3D printability. On the one hand, the inclusion of the perovskite‐based filler in the photocurable resin does not affect the rheological behavior and photocuring properties of the polymer matrix, making the composite suitable for 3D printing by stereolithography. On the other hand, the presence of the polymer does not affect the emission properties of the perovskite leading to the development of a fast response scintillator with significantly improved environmental stability. This work opens the avenue to the development of a completely new class of plastic scintillating materials.

Multi-scale characterization of lightweight aggregate and superabsorbent polymers influence on autogenous shrinkage and microstructure of ultra-high performance concrete

This study investigates the effects of internal curing agents on the autogenous shrinkage, hydration, and microstructure of ultra-high-performance concrete (UHPC). Lightweight aggregate (LWA) and superabsorbent polymers (SAP) were examined across various dosages as representative internal curing agents. Measurements were taken for the mechanical properties, autogenous shrinkage, and internal relative humidity of the UHPC. The mechanisms of internal curing were analyzed using thermogravimetry, pore structure, and microstructural evaluations. Additionally, porosity and microhardness in the matrix around the fibers and internal curing agents were tested to quantitatively assess their impact on the properties of the UHPC matrix. Results indicate that high dosages of LWA or SAP negatively affect the compressive strength of UHPC. A dosage of 15 % LWA increased flexural strength by 11 %, whereas SAP showed no significant improvement in flexural strength. LWA effectively reduced autogenous shrinkage by 49.4 %-88.8 %, while a SAP dosage of 0.3 % reduced autogenous shrinkage by 82 %. Both LWA and SAP increased porosity by 33.9 %-55.9 %. SAP released water within the matrix, forming voids filled with calcium hydroxide. The interface between LWA and the matrix was dense, with porosity near the LWA and SAP interfaces being 23.5 %-53.9 % and 26.0 %-38.2 % lower, respectively, compared to other areas. The microhardness in the LWA and SAP interface regions was 20 % and 16.2 % higher than in different places. The LWA pre-saturated method can effectively reduce autogenous shrinkage, and 15 % LWA has no adverse effect on mechanical strength.

Structural properties of symmetric Toeplitz and Hankel matrices

In this paper, we investigate properties of a symmetric Toeplitz matrix and a Hankel matrix by studying the components of its graph. To this end, we introduce the notion of “weighted Toeplitz graph” and “weighted Hankel graph”, which are weighted graphs whose adjacency matrix are a symmetric Toeplitz matrix and a Hankel matrix, respectively. By studying the components of a weighted Toeplitz graph, we show that the Frobenius normal form of a symmetric Toeplitz matrix is a direct sum of symmetric irreducible Toeplitz matrices. Similarly, by studying the components of a weighted Hankel matrix, we show that the Frobenius normal form of a Hankel matrix is a direct sum of irreducible Hankel matrices.

Post-Transition Metal Dichalcogenide SnS2 Nanoflower/PVDF Composite: A Smart Wearable Self-Powered Mechanosensor.

The escalating demand for wearables has led to a surge in the development of portable and flexible electronics. Consequently, exploring different materials for the efficient design of the device has become an inevitable aspect of this particular research area. Therefore, in this work, we present post-transition metal dichalcogenide tin disulfide (SnS2) nanoflowers, to effectively engineer the polyvinylidene fluoride (PVDF) functional layer, which serves as the heart of the device. These hydrothermally grown SnS2 nanoflowers can significantly nurture the physiochemical properties of the PVDF matrix. Consequently, the assembled optimized device is capable of generating an output voltage of 60 ± 4 V, with an output current of 8 ± 0.4 μA, while maintaining a good output power density of 87.11 μW·cm-2. The device successfully harvested mechanical energies from several biomechanical movements including finger, elbow, neck, and wrist bending. Furthermore, the optimized device demonstrated a high efficiency in static and dynamic pressure sensing. This utilization of post-transition metal dichalcogenides paves the way for groundbreaking improvements in the fields of biomechanical energy harvesting and static and dynamic pressure sensing.

Multifunctional Adhesive Hydrogels: From Design to Biomedical Applications.

Adhesive hydrogels characterized by structural properties similar to the extracellular matrix, excellent biocompatibility, controlled degradation, and tunable mechanical properties have demonstrated significant potential in biomedical applications, including tissue engineering, biosensors, and drug delivery systems. These hydrogels exhibit remarkable adhesion to target substrates and can be rationally engineered to meet specific requirements. In recent decades, adhesive hydrogels have experienced significant advancements driven by the introduction of numerous multifunctional design strategies. This review initially summarizes the chemical bond-based design strategies for tissue adhesion, encompassing static covalent bonds, dynamic covalent bonds, and non-covalent interactions. Subsequently, the multiple functionalities imparted by these diverse design strategies, including highly stretchable and tough performances, responsiveness to microenvironments, anti-freezing/heating properties, conductivity, antibacterial activity, and hemostatic properties are discussed. In addition, recent advances in the biomedical applications of adhesive hydrogels, focusing on tissue repair, drug delivery, medical devices, and wearable sensors are reviewed. Finally, the current challenges are highlighted and future trends in this rapidly evolving field are discussed.

Optimization of combined properties of aluminum matrix and interface in an aluminum/steel bimetal via low temperature aging

Optimization of combined properties of aluminum matrix and interface in an aluminum/steel bimetal via low temperature aging

MECHANICAL PROPERTIES AND MICROSTRUCTURE OF CONCRETE INCORPORATING SYNTHETIC ZEOLITE

The effect of natural and synthetic zeolite on the microstructure of cement matrix and mechanical properties of concretes was studied in the article. Results show that the addition of these pozzolanic materials results in the increase both compressive and flexural strength after 28 days of hardening. The concrete incorporating 10 mass.% of synthetic zeolite Na-P1 characterizes the highest compressive and flexural strength that reaches 53.5 and 7.8 MPa and exceeds the strength of reference concrete by 18 and 24%, respectively. This increase is the result of the improvement of the concrete on the microstructural level due to the formation of the additional amount of fibre-like crystals of hydrosilicates in the non-clinker part of the cement matrix providing its self-reinforcement.

Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference

For meter-wave multiple-input multiple-output (MIMO) radar, the multipath of target echoes may cause severe errors in height measurement, especially in the case of complex terrain where terrain fluctuation, ground inclination, and multiple reflection points exist. Inspired by a sparse array with greater degrees of freedom and low mutual coupling, a height measurement method based on a sparse array is proposed. First, a practical signal model of MIMO radar based on a sparse array is established. Then, the modified multiple signal classification (MUSIC) and maximum likelihood (ML) estimation algorithms based on two classical sparse arrays (coprime array and nested array) are proposed. To reduce the complexity of the algorithm, a real-valued processing algorithm for generalized MUSIC (GMUSIC) and maximum likelihood is proposed, and a reduced dimension matrix is introduced into the real-valued processing algorithm to further reduce computation complexity. Finally, sufficient simulation results are provided to illustrate the effectiveness and superiority of the proposed technique. The simulation results show that the height measurement accuracy can be efficiently improved by using our proposed technique for both simple and complex terrain.

Optimizing fiber-reinforced flexible concrete blankets: A study on basalt fiber effects on strength properties

Flexible concrete blankets (FCB) are valued for convenient construction and rapid hardening but are hindered by low tensile and flexural strengths. This study examines the enhancement of FCB by incorporating basalt fibers into the cement matrix, with a focus on improving compressive, flexural, and tensile strengths. A series of tests evaluated the apparent density, setting time, and strength properties of the fiber-reinforced cement matrix across various fiber lengths, fiber contents, and water-cement ratios. Results show that increasing fiber length and content reduces apparent density and extends setting time. Basalt fiber addition effectively enhances compressive and flexural strengths, although excessive fiber length, content, and water-cement ratios lead to reduced performance. The optimal configuration (3 mm fiber length, 0.1 % fiber content, and a 0.38 water-cement ratio) yields the best mechanical properties. Orthogonal analysis indicates that compressive strength is most influenced by fiber content, followed by fiber length and water-cement ratio, while flexural strength is primarily affected by fiber length. Additionally, FCB with surface-pasted fiber cloth exhibits higher tensile strength than mixtures with dispersed fibers.

Confinement Effects and Manipulation Strategies of Nanocomposite Membranes towards Molecular Separation

AbstractMaterials featuring well‐defined nanoscale channels offer inherent advantages in the selective transport of gases, liquids, and ions, making them pivotal in applications such as molecular separation, catalysis and energy storage. A crucial challenge lies in assembling ordered nanochannel structures and translating these microscopic architectures into macroscopic regular distributions to enhance performance. Nanocomposites provide a promising solution by incorporating nanoscale material (e.g., filler) that significantly enhances macroscale properties of matrix (e.g., polymer). In this review, we spotlight nanocomposite membranes nanocomposite membranes that utilize confinement effects between filler and matrix to precisely control nanochannel apertures, surface properties, and channel distribution for efficient separation of target systems. We discussed the underlying design principles, channel architectures, and strategies for optimizing polymer‐filler interfaces and nanochannel manipulation within functional membranes. Emphasis is placed on the fundamental mechanisms of mass transport, and the structure‐property‐performance relationships within the nanocomposite membranes towards molecular separation. This work aims to provide a comprehensive understanding of how these nanocomposite membranes can be further developed to meet the demands of industrial and environmental applications.

Generating High‐Fidelity Structured Light Fields Through an Ultrathin Multimode Fiber Using Phase Retrieval

AbstractLight transmission through a multimode fiber (MMF) has gained major importance for imaging and manipulation. The majority of phase retrieval algorithms used for a MMF implicitly assume light propagation to be described by a unitary operation, yet the transmission matrix of a multimode fiber is inherently non‐unitary. It is demonstrated that this erroneous assumption can impede the performance of many commonly used MMF phase retrieval algorithms and demonstrate that the weighted Yang–Gu algorithm outperforms other phase retrieval algorithms in this scenario. Once accounted for, the non‐unitary property of the transmission matrix can be leveraged to generate intricate intensity and phase patterns at the output of the fiber, and shape specific output fields. This is experimentally demonstrated by generating Laguerre–Gaussian beams that carry orbital angular momentum, and by forming images in planes offset from the distal end of the fiber facet.

RT-GNN: Accelerating Sparse Graph Neural Networks by Tensor-CUDA Kernel Fusion

Graph Neural Networks (GNNs) have achieved remarkable successes in various graph-based learning tasks, thanks to their ability to leverage advanced GPUs. However, GNNs currently face challenges arising from the concurrent use of advanced Tensor Cores (TCs) and CUDA Cores (CDs) in GPUs. These challenges are further exacerbated due to repeated, inefficient, and redundant aggregations in GNN that result from the high sparsity and irregular non-zero distribution of real-world graphs. We propose RT-GNN, a GNN framework based on the fusion of advanced TC and CD units, to eliminate the aforementioned redundancies by exploiting the properties of an adjacency matrix. First, a novel GNN representation technique, hierarchical embedding graph (HEG) is proposed to manage the intermediate aggregation results hierarchically, which can further avoid redundancy in intermediate aggregations elegantly. Next, to address the inherent sparsity of graphs, RT-GNN places the blocks (a.k.a tiles) in HEG onto TCs and CDs according to their sparsity by a new block-based row-wise multiplication approach, which assembles TCs and CDs to work concurrently. Experimental results demonstrate that HEG outperforms HAG by an average speedup of 19.3 × for redundancy elimination performance, especially up to 72 × speedup on the dataset of ARXIV. Moreover, for overall performance, RT-GNN outperforms state-of-the-art GNN frameworks (including DGL, HAG, GNNAdvisor, and TC-GNN) by an average factor of 3.1 × while maintaining or even improving the task accuracy.

Toughened Vinyl Ester Resin Reinforced with Natural Flax Fabrics

Vinyl ester resins are widely used as thermoset matrix materials for laminated composites, particularly in naval and automotive applications, due to their strength, chemical resistance, and ease of processing. However, their brittleness limits their use, especially in cold conditions. This study investigates the toughness of core–shell rubber (CSR)-modified resins in composites with natural fibers. This research compares the properties of the neat resin matrix and the CSR-modified matrix. After optimizing the resin curing process with catalysts, various treatments were tested to analyze their mechanical and thermal properties. Using the vacuum bagging process, flax and glass fibers were used as reinforcements to assess the effects of matrix modifications. Flax fibers were chosen for their sustainability as a potential alternative to glass fibers. Mechanical testing was performed, comparing the performance of flax-based composites to those with glass fibers. Water absorption tests on flax composites followed the ISO 62 standard. Additionally, interlaminar shear strength and SEM micrography studies were conducted to examine the morphology and fiber–matrix adhesion, linking the microscopic structure to mechanical properties. Results indicate that while glass-reinforced composites have superior properties, flax composites offer a sustainable alternative, making them a promising choice for future applications.

Effects of Absorption on the Tribological Properties of Carbon Fiber Reinforced Polyamide-6 Composites Manufactured by Fused Deposition Modeling

Abstract The present work studied the water absorption behavior of polymeric composite materials fabricated using 3D printing technology, as well as its effect on their tribological properties. Polyamide-6 was selected as the base matrix material. Short and continuous carbon fibers are used as the reinforced material. The results showed that the moisture absorption would impair the mechanical properties of polymer matrix and interface bonding between the fiber and the matrix. As a result, the tensile strength of the fiber reinforced polymer composites (FRPCs) decreases with water absorption. Nevertheless, the effects of moisture absorption on the wear properties of FRPCs are more complicated, which are depending on the fiber length and sliding conditions. With the short fiber reinforcements, moisture absorption deteriorated the wear resistance under all the testing conditions. With the increase of moisture level, more severe fiber damage/removal was observed, associated with the higher wear loss. With a relative high volume fracture of continuous carbon fiber (∼35 vol%), however, the wear resistance of the FRPC increased with moisture level, especially under a relatively low load. Based on microscopic observations, it was proposed that water inside FRPC specimens is able to provide the lubricating and cleaning effects, which contribute to a lower friction and smooth worn surfaces. The work provides new insights into designing and selecting printed polymer materials, subjected to different loading conditions.

Robust Estimation for Number of Factors in High Dimensional Factor Modeling via Spearman Correlation Matrix

Determining the number of factors in high-dimensional factor modeling is essential but challenging, especially when the data are heavy-tailed. In this article, we introduce a new estimator based on the spectral properties of Spearman sample correlation matrix under the high-dimensional setting, where both dimension and sample size tend to infinity proportionally. Our estimator is robust against heavy tails in either the common factors or idiosyncratic errors. The consistency of our estimator is established under mild conditions. Numerical experiments demonstrate the superiority of our estimator compared to existing methods. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.

Biocidal polymer coatings based on porphyrin-modified epoxy-amine networks

For the first time, a pronounced biocidal activity of modified polymers with a porphyrin content of 21.4 μM (0.002 wt%) against Staphylococcus aureus was demonstrated. In order to develop new biocidal polymer coatings, a study was carried out on diglycidyl ether of bisphenol A (DGEBA) and porphyrin-modified oligomeric diamine systems. The study investigated the solubility of porphyrins in oligomers through experimental and theoretical means, using Van Krevelen's approach of additive group contributions. Fully cured epoxy-amine polymer materials modified with varied free-base tetraarylporphyrins were obtained. The materials were studied by means of thermogravimetry, differential scanning calorimetry, UV–Vis and fluorescence spectroscopy. The proposed approach to the formation of modified epoxy-amine materials allows preservation of the photophysical properties of porphyrins, including their photostability. The addition of modifiers in 4.28–21.4 μM range of concentrations makes it possible to keep the thermophysical and thermochemical properties of the polymer matrix.

Bio-orthogonal tuning of matrix properties during 3D cell culture to induce morphological and phenotypic changes.

Described herein is a protocol for producing a synthetic extracellular matrix that can be modified in situ during three-dimensional cell culture. The hydrogel platform is established using modular building blocks employing bio-orthogonal tetrazine (Tz) ligation with slow (norbornene, Nb) and fast (trans-cyclooctene, TCO) dienophiles. A cell-laden gel construct is created via the slow, off-stoichiometric Tz/Nb reaction. After a few days of culture, matrix properties can be altered by supplementing the cell culture media with TCO-tagged molecules through the rapid reaction with the remaining Tz groups in the network at the gel-liquid interface. As the Tz/TCO reaction is faster than molecular diffusion, matrix properties can be modified in a spatiotemporal fashion simply by altering the identity of the diffusive species and the diffusion time/path. Our strategy does not interfere with native biochemical processes nor does it require external triggers or a second, independent chemistry. The biomimetic three-dimensional cultures can be analyzed by standard molecular and cellular techniques and visualized by confocal microscopy. We have previously used this method to demonstrate how in situ modulation of matrix properties induces epithelial-to-mesenchymal transition, elicits fibroblast transition from mesenchymal stem cells and regulates myofibroblast differentiation. Following the detailed procedures, individuals with a bachelor's in science and engineering fields can successfully complete the protocol in 4-5 weeks. This protocol can be applied to model tissue morphogenesis and disease progression and it can also be used to establish engineered constructs with tissue-like anisotropy and tissue-specific functions.

Spectral bounds on the entropy flow rate and Lyapunov exponents in differentiable dynamical systems

Abstract Some microscopic dynamics are also macroscopically irreversible, dissipating energy and producing entropy. For many-particle systems interacting with deterministic thermostats, the rate of thermodynamic entropy dissipated to the environment is the average rate at which phase space contracts. Here, we use this identity and the properties of a classical density matrix to derive upper and lower bounds on the entropy flow rate with the spectral properties of the local stability matrix. These bounds are an extension of more fundamental bounds on the Lyapunov exponents and phase space contraction rate of continuous-time dynamical systems. They are maximal and minimal rates of entropy production, heat transfer, and transport coefficients set by the underlying dynamics of the system and deterministic thermostat. Because these limits on the macroscopic dissipation derive from the density matrix and the local stability matrix, they are numerically computable from the molecular dynamics. As an illustration, we show that these bounds are on the electrical conductivity for a system of charged particles subject to an electric field.