Design of Dielectric Elastomer Actuator and Its Application in Flexible Gripper.

Dielectric elastomer actuators (DEAs) are difficult to apply to flexible grippers due to their small deformation range and low output force. Hence, a DEA with a large bending deformation range and output force was designed, and a corresponding flexible gripper was developed to realize the function of grasping objects of different shapes. The relationship between the pre-stretch ratio and DEA deformation degree was tested by experiments.

Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes.

Tomato, as the vegetable queen, is cultivated worldwide due to its rich nutrient content and unique flavor. Nondestructive technology provides efficient and noninvasive solutions for the quality assessment of tomatoes. However, processing the substantial datasets to achieve a robust model and enhance detection performance for nondestructive technology is a great challenge until deep learning is developed.

Pneumatic conveying inkjet bioprinting for the processing of living cells.

Inkjet printing techniques are often used for bioprinting purposes because of their excellent printing characteristics, such as high cell viability and low apoptotic rate, contactless, commercial availability, and low cost. However, they face some disadvantages, such as the use of bioinks of low viscosity, cell damage due to shear stress caused by drop ejection and jetting velocity, as well as a narrow range of available bioinks that still challenge the inkjet printing technology. New technological solutions are required to overcome these obstacles.

Visible light-driven multichannel concerted antibacterial films with Photodynamically enhanced self-cascading Chemodynamic actions for long-term preservation of perishable food.

This work pioneered an innovative visible light-powered, self-cascading peroxide antimicrobial packaging system (RPFe-CS), featuring a photodynamic enhancement effect achieved through the demand-oriented design of riboflavin sodium phosphate and Fe coordination complexes (RPFe) fillers with photodynamic and peroxidase activities, and the ingenious selection of slightly acidic chitosan (CS) film matrix. In this system, the photo-responsive properties of RPFe particles not only generate the •O, •OH, and O required for photodynamic sterilization, but also the produced HO serves as a necessary substrate for peroxidase to exert its bactericidal effect, endowing the packaging system with a "self-production and self-marketing" cascade process. The RPFe-CS film achieved efficient eradication to bacteria and fungi reaching up to 99.

A cross-scale transfer learning framework: prediction of SOD activity from leaf microstructure to macroscopic hyperspectral imaging.

Superoxide dismutase (SOD) plays an important role to respond in the defence against damage when tomato leaves are under different types of adversity stresses. This work employed microhyperspectral imaging (MHSI) and visible near-infrared (Vis-NIR) hyperspectral imaging (HSI) technologies to predict tomato leaf SOD activity. The macroscopic model of SOD activity in tomato leaves was constructed using the convolutional neural network in conjunction with the long and short-term temporal memory (CNN-LSTM) technique.

Impurity detection of premium green tea based on improved lightweight deep learning model.

Tea may be mixed with impurities during picking and processing, which can lower their quality. At present, the sorting of impurities in premium green tea mainly relies on manual labor, which is inefficient. In response to the technical challenges in this industry, this article uses deep learning technology to detect impurities in premium green tea.

The efficient separation of bioactive components from Eucommia ulmoides Oliver using membrane filtration technology and its mechanisms in preventing alcoholic liver disease.

The efficient extraction and purification of active components from Eucommia ulmoides Oliver (EUO) are crucial for their utilization. The structure and properties of the prepared EUO leaf polysaccharides (ELPs) and extractum (ELE) were comprehensively characterized in this study, and the intervention mechanism of the EUO polysaccharides and extractum in alcoholic liver disease (ALD) were investigated. The yield of EUO extractum was 24.

Solar radiation model and optimization of asymmetric large-span externally insulated plastic greenhouses.

To improve the light environment of asymmetric large-span externally insulated plastic greenhouses, a solar radiation model that considers the projection path equations of the insulation quilts and validated the model was established. The model was employed to investigate the impact of different heights, spans, and north lighting projection lengths on the greenhouses' light environment. The results revealed that ground radiation interception, a key component of winter lighting, was most influenced by height, followed by span, and least influenced by the projection length of the north lighting roof.

A Simple Surface Treatment for Improving the Adhesive Bonding Properties and Durability of an AlMg Alloy.

The structural adhesive bonding of aluminum is widely used in the aircraft and automotive industries. The surface preparation of aluminum prior to adhesive bonding plays a significant role in improving the bonding strength. Surface cleanliness, surface roughness, and surface chemistry can be controlled, primarily, by proper surface treatment methods.

Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy.

Rapid and accurate detection of protein content is essential for ensuring the quality of maize. Near-infrared spectroscopy (NIR) technology faces limitations due to surface effects and sample homogeneity issues when measuring the protein content of whole maize grains. Focusing on maize grain powder can significantly improve the quality of data and the accuracy of model predictions.

Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms.

Rapid online detection of broken rate can effectively guide maize harvest with minimal damage to prevent kernel fungal damage. The broken rate prediction model based on machine vision and machine learning algorithms is proposed in this manuscript. A new dataset of high moisture content maize kernel phenotypic features was constructed by extracting seven features (geometric and shape features).

Irregular seeds DEM parameters prediction based on 3D point cloud and GA-BP-GA optimization.

Due to the small and irregular shapes of vegetable seeds, modeling them is challenging, and the imprecision of physical parameters hinders the performance of vegetable seeders, impeding simulation development. In this study, seeds of cucumber, pepper, and tomato were seen as examples. A 3D point cloud reconstruction method based on Structure-from-Motion Multi-View Stereo (SfM-MVS) was employed to accurately extract 3D models of small and irregularly shaped seeds.

Beyond visible: giant bulk photovoltaic effect for broadband neuromodulation.

The giant bulk photovoltaic effect in tellurene nanomaterials has been harnessed to enable broadband infrared neuromodulation, expanding the potential for safe, non-invasive neural stimulation and highlighting the importance of material innovation in advancing infrared photonic applications.

Determination and visualization of moisture content in Camellia oleifera seeds rapidly based on hyperspectral imaging combined with deep learning.

Moisture content (MC) is crucial for the storage, transportation, and processing of Camellia oleifera seeds. The purpose of this study was to investigate the feasibility for detecting MC in Camellia oleifera seeds using visible near-infrared hyperspectral imaging (VNIR-HSI) (374.98 ∼ 1038.

Design of an intelligent disinfection control system based on an STM32 single-chip microprocessor by using the YOLO algorithm.

The novel coronavirus (COVID-19) has affected more than two million people of the world, and far social distancing and segregated lifestyle have to be adopted as a common solution in recent years. To solve the problem of sanitation control and epidemic prevention in public places, in this paper, an intelligent disinfection control system based on the STM32 single-chip microprocessor was designed to realize intelligent closed-loop disinfection in local public places such as public toilets. The proposed system comprises seven modules: image acquisition, spraying control, disinfectant liquid level control, access control, voice broadcast, system display, and data storage.

Skill-Learning-Based Trajectory Planning for Robotic Vertebral Plate Cutting: Personalization Through Surgeon Technique Integration and Neural Network Prediction.

In robotic-assisted laminectomy decompression, stable and precise vertebral plate cutting remains challenging due to manual dependency and the absence of adaptive skill-learning mechanisms. This paper presents an advanced robotic vertebral plate-cutting system that leverages patient-specific anatomical variations and replicates the surgeon's cutting technique through a trajectory parameter prediction model. A spatial mapping relationship between artificial and patient vertebrae is first established, enabling the robot to mimic surgeon-defined trajectories with high accuracy.

Discrimination of leaf diseases in Maize/Soybean intercropping system based on hyperspectral imaging.

In order to achieve precise discrimination of leaf diseases in the Maize/Soybean intercropping system, i.e. leaf spot disease, rust disease, mixed leaf diseases, this study utilized hyperspectral imaging and deep learning algorithms for the classification of diseased leaves of maize and soybean.

A Composite Pulse Excitation Technique for Air-Coupled Ultrasonic Detection of Defects in Wood.

To overcome the problems of the low signal-to-noise ratio and poor performance of wood ultrasonic images caused by ring-down vibrations during the ultrasonic quality detection of wood, a composite pulse excitation technique using a wood air-coupled ultrasonic detection system is proposed. Through a mathematical analysis of the output of the ultrasonic transducer, the conditions necessary for implementing composite pulse excitation were analyzed and established, and its feasibility was verified through COMSOL simulations. Firstly, wood samples with knot and pit defects were used as experimental samples.

Evaluation and correction methods for geometric errors of hydrostatic thrust bearings.

The value and direction angle of the perpendicularity error of the thrust surface and bearing bush in hydrostatic thrust bearings directly affect the motion accuracy. In this paper, a rapid onsite measurement method and evaluation model for the value and direction angle of the perpendicularity error of the thrust surface and bearing bush in hydrostatic thrust bearings are presented. The method is validated by comparing experimental measurements with those obtained using a CMM.

A study on the macro and micro mechanisms of cotton seedling growth regulation by high-voltage electrostatic field and optimization of system parameters.

Addressing the issues of inefficiency and severe environmental pollution associated with artificial and chemical methods in cotton growth regulation, this study introduces the high-voltage electrostatic field environmental control technology. It delves into the technology's macro- and microscopic impacts on cotton seedling growth and optimizes its operational parameters. At the macro level, the study examines the influence of adjusting the output voltage of the high-voltage electrostatic generator, the distance between the upper pole plate and the cotton leaf, and the action time of the electric field on seedling features above (plant height, ground diameter, and leaf area) and below ground (fresh weight and dry weight of roots).

High voltage pulsed electric field: A novel method for killing parasitic eggs on the surface of raisins.

Aiming to address the issue of stored grain pests easily breeding during the process of dried fruits in Xinjiang, this study proposes a method and a device for killing raisin parasitic eggs based on a high-voltage pulsed electric field. A one-way test and a Box-Behnken central combination test were conducted to investigate the effects of high-voltage pulsed electric field strength and frequency on the unhatched rate and larval survival rate of Plodia interpunctella eggs on raisin surfaces. The experimental results were qualitatively and quantitatively analyzed using biooptical microscope observation and incubation at constant temperature and humidity post-treatment.

Multi-scale heterogeneous composite elastomer absorbers synergistically enhanced by CoNi nanospheres and carbon nanotubes.

The advancement of high-performance absorbers is essential for applications in electromagnetic wave absorption (EWA) and stealth technologies. To enhance EWA performances, it is imperative to employ advanced design strategies that incorporate heterogeneous interfaces and multi-scale structures. In this study, we developed a composite elastomer demonstrating exceptional EWA characteristics using a two-step process involving liquid-phase reduction followed by thermal curing.