Fabrication of Piezoelectric Structures with High Porosity by Digital Light Processing.

Digital light processing is a recently developed solution to fabricate complex structured piezoelectric devices. To obtain a high-performance device, the slurry configuration, model slicing, and heat treatment methods during the printing should be carefully determined. In this article, 200 nm particle size barium titanate powders with an optimized solid content of 80% (mass fraction) were used to configure the slurry with higher printing efficiency.

Electric field-induced alignment of Ag/Au nanowires for ultrasensitive in situ detection of Interleukin-6.

Interleukin-6 (IL-6) is a key parameter and critical role in cancer progression. However, for detection of IL-6 in colorectal cancer diagnosis, developing a sensitive biosensor is necessary and very important. In this paper, to enhance the sensitivity of IL-6 electrochemical biosensor, the electric field was used to orient arrangement of silver nanowires (AgNWs) to be free-standing AgNWs electrode.

Revealing transport, uptake and damage of polystyrene microplastics using a gut-liver-on-a-chip.

Microplastics (MPs) are pervasive pollutants present in various environments. They have the capability to infiltrate the human gastrointestinal tract through avenues like water and food, and ultimately accumulating within the liver. However, due to the absence of reliable platforms, the transportation, uptake, and damage of microplastics in the gut-liver axis remain unclear.

Gut-on-a-Chip Reveals Enhanced Peristalsis Reduces Nanoplastic-Induced Inflammation.

Nanoplastics (NPs) pollution is a global issue posing potential threats to human health, particularly the digestive system. NPs may exacerbate intestinal inflammation, increasing the risk of inflammatory bowel disease. However, the impact of intestinal peristalsis on NP-induced inflammation remains unknown.

Molecularly imprinted polymer sensors for biomarker detection in cardiovascular diseases.

Cardiovascular diseases (CVDs) are recognized as a significant threat to global health. The rapid, sensitive, and precise measurement of relevant biomarkers is essential for the timely diagnosis of CVDs. Molecularly imprinted polymers (MIPs), which act as artificial receptor recognition materials, have been extensively utilized in the detection of CVD biomarkers.

Overcoming Debye screening effect in field-effect transistors for enhanced biomarker detection sensitivity.

Field-effect transistor (FET)-based biosensors not only enable label-free detection by measuring the intrinsic charges of biomolecules, but also offer advantages such as high sensitivity, rapid response, and ease of integration. This enables them to play a significant role in disease diagnosis, point-of-care detection, and drug screening, among other applications. However, when FET sensors detect biomolecules in physiological solutions (such as whole blood, serum, ), the charged molecules will be surrounded by oppositely charged ions in the solution.

3D Printed Magnetoelectric Composites for Personalized Wearable Multifunctional Sensors.

Traditional fabrication methods for creating flexible magnetoelectric sensors are often laborious and challenging when it comes to personalization. This article employs fused deposition modeling 3D printing technology to produce flexible multifunctional sensors. (0-3) type composite filaments were prepared using polyvinylidene fluoride and cobalt ferrite (CoFeO, abbreviated as CFO).

Effect of High-Pressure Torsion Temperatures on the Precipitation and Properties of Cu-Cr Alloy.

This study examines the impact of high-pressure torsion (HPT) processing at various temperatures on the precipitation behavior of Cu-Cr alloys. The introduction of defects through HPT is observed to promote the precipitation of Cr atoms. Unlike the traditional large-scale precipitation that typically occurs around 400 °C, HPT can induce the precipitation of solute atoms even at room temperature.

Critical Suitability Evaluation of Caco-2 Cells for Gut-on-a-Chip.

Currently, culturing Caco-2 cells in a Gut-on-a-chip (GOC) is well-accepted for developing intestinal disease models and drug screening. However, Caco-2 cells were found to overexpress surface proteins (e.g.

Study of the Effects on the Strengthening Mechanism and Wear Behavior of Wear-Resistant Steel of Temperature Controlling in Heat Treatment.

To improve the wear resistance of the materials used for blades in engineering machinery, this study focused on the microstructural characteristics, mechanical properties, and wear behavior of HB500 grade wear-resistant steel developed using an optimized heat treatment system. To improve the temperature uniformity of the heat treatment furnace, the method of cyclic heating was used to heat the components. Carefully designing the quenching equipment, such as using a cross-shaped press, was employed to enhance the quenching effect and reduce the deformation of the steel plates.

Numerical Investigation on Thermal Conductivity of Graphene Foam Composite for Thermal Management Applications.

Graphene foam prepared by the chemical vapor deposition method is a promising thermal interfacial material. However, the thermal properties of graphene foam highly depend on the experimental fabrication conditions during the chemical vapor deposition process. Aiming to reveal how to prepare the appropriate graphene foam for the various thermal management scenarios, the influence of experimental conditions on thermal properties of graphene foam was investigated.

Effects of laptop screen height on neck and shoulder muscle fatigue and spine loading for office workers.

Background: Due to the unfavourable neck-shoulder muscle loads caused by poor posture, the people who use the laptop for a long time may face the risk of neck and shoulder injuries.

Objective: The purpose of this study investigates the impact of the screen height on the muscle activation of head flexion, neck and shoulder, and the cervical spine torque to provide the favorite screen height for laptop user.

Methods: Twelve healthy young participants completed a 15-minute task of the reading at the four different screen heights.

Electro-Mechanical Coupling Analysis of L-Shaped Three-Dimensional Braided Piezoelectric Composites Vibration Energy Harvester.

In this article, an L-shaped three-dimensional (3D) braided piezoelectric composite energy harvester (BPCEH) is established, which consists of an elastic layer composed of a 3D braided composite, flanked by upper and lower layers of piezoelectric material and two tuning mass blocks. Glass fiber and epoxy resin are used to produce a 3D braided composite. This L-shaped 3D BPCEH is mechanically designable and can be adapted to different work requirements by varying the braided angle of the 3D braided composite layer.

Fracture Behavior and Mechanism of Nb-Si-Based Alloys with Heterogeneous Layered Structure.

Novel Nb-Si-based alloys with heterogeneous layers that have the same composition (Nb-16 at.%Si) but different phase morphologies were designed in this work. Heterogeneous layered structure (HLS) was successfully fabricated in Nb-16Si alloys by layering composite powders after various degrees of mechanical alloying (6 h, 12 h, 18 h, and 24 h) alternately and subsequent spark plasma sintering (SPS).

Sensitivity-Enhancing Strategies of Graphene Field-Effect Transistor Biosensors for Biomarker Detection.

The ultrasensitive recognition of biomarkers plays a crucial role in the precise diagnosis of diseases. Graphene-based field-effect transistors (GFET) are considered the most promising devices among the next generation of biosensors. GFET biosensors possess distinct advantages, including label-free, ease of integration and operation, and the ability to directly detect biomarkers in liquid environments.

Advancements in gradient bone scaffolds: enhancing bone regeneration in the treatment of various bone disorders.

Bone scaffolds are widely employed for treating various bone disorders, including defects, fractures, and accidents. Gradient bone scaffolds present a promising approach by incorporating gradients in shape, porosity, density, and other properties, mimicking the natural human body structure. This design offers several advantages over traditional scaffolds.

Dynamic Recrystallization Constitutive Model and Texture Evolution of Metastable β Titanium Alloy TB8 during Thermal Deformation.

The mechanical properties of metastable β-titanium alloys are highly susceptible during the thermal mechanical processing (TMP). In this process, the recrystallization process plays an important role in determining the microstructure and texture evolution. The implementation of dynamic recrystallization (DRX), a process for achieving β-grain refinement, is considered of great significance for the improvement of the properties of metastable β-titanium alloys and their industrial production.

A hybrid particle swarm optimization algorithm for solving engineering problem.

To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. Firstly, the elite opposition-based learning method is utilized to initialize the particle position matrix. Secondly, the dynamic inertial weight parameters are given to improve the global search speed in the early iterative phase.

Long-Travel 3-PRR Parallel Platform Based on Biomimetic Variable-Diameter Helical Flexible Hinges.

Technological advancements across various sectors are driving a growing demand for large-scale three-degree-of-freedom micro-nano positioning platforms, with substantial pressure to reduce footprints while enhancing motion range and accuracy. This study proposes a three-prismatic-revolute-revolute (3-PRR) parallel mechanism based on biomimetic variable-diameter helical flexible hinges. The resulting platform achieves high-precision planar motion along the X- and Y-axes, a centimeter-level translation range, and a rotational range of 35° around the Z-axis by integrating six variable-diameter flexible helical hinges that serve as rotational joints when actuated by three miniature linear servo drives.

An electromechanical stimulation regulating model with flexoelectric effect of piezoelectric laminated micro-beam for cell bionic culture.

Cell bionic culture requires the construction of cell growth microenvironments. In this paper, mechanical force and electrical stimulations are applied to the cells cultured on the surface of the piezoelectric laminated micro-beam driven by an excitation voltage. Based on the extended dielectric theory, the electromechanical microenvironment regulating model of the current piezoelectric laminated micro-beam is established.

A review of mesoscopic modeling and constitutive equations of particle-reinforced metals matrix composites based on finite element method.

Particle reinforced metal matrix composite (PRMMCs) has a complex mesoscopic structure, and the addition of particles can strengthen the metal matrix, which makes the deformation and failure behavior of PRMMCs under load very complicated. The finite element method can quantitatively describe the effect of PRMMCs microstructure parameters on the macroscopic properties of materials, but the key is to establish a representative volume element(RVE) model that can reflect the real mechanical properties of materials. This paper reports and discusses on the construction methods of the RVE model of PRMMCs from three aspects: the geometric modeling of PRMMCs microstructure, the construction of the matrix constitutive equation based on PRMMCs reinforcement mechanism and the interface module.

Improved stacking ensemble learning based on feature selection to accurately predict warfarin dose.

Background: With the rapid development of artificial intelligence, prediction of warfarin dose via machine learning has received more and more attention. Since the dose prediction involve both linear and nonlinear problems, traditional machine learning algorithms are ineffective to solve such problems at one time.

Objective: Based on the characteristics of clinical data of Chinese warfarin patients, an improved stacking ensemble learning can achieve higher prediction accuracy.