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Article
Electroconductive high-entropy metallic oxide ceramic composites with outstanding water evaporation ability and biocompatibility
Electroconductive ceramics were a class of materials that exhibited metal-like conductivity while also retaining the beneficial properties of ceramics. Currently, they were ceramic composites generally fabrica...
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Article
Open AccessDiamond with Sp2-Sp3 composite phase for thermometry at Millikelvin temperatures
Temperature is one of the seven fundamental physical quantities. The ability to measure temperatures approaching absolute zero has driven numerous advances in low-temperature physics and quantum physics. Curre...
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Article
Open AccessDetection and recognition of Chinese porcelain inlay images of traditional Lingnan architectural decoration based on YOLOv4 technology
With the rapid development of machine learning technology, it has become possible to automatically identify cultural heritage elements in traditional buildings. This research aimed to develop a machine learnin...
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Article
Consistent epistemic planning for multiagent deep reinforcement learning
Multiagent cooperation in a partially observable environment without communication is difficult because of the uncertainty of agents. Traditional multiagent deep reinforcement learning (MADRL) algorithms fail ...
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Article
Open AccessFrequency-encoded eye tracking smart contact lens for human–machine interaction
Eye tracking techniques enable high-efficient, natural, and effortless human-machine interaction by detecting users’ eye movements and decoding their attention and intentions. Here, a miniature, imperceptible,...
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Article
Open AccessEngineering the pore environment of antiparallel stacked covalent organic frameworks for capture of iodine pollutants
Radioiodine capture from nuclear fuel waste and contaminated water sources is of enormous environmental importance, but remains technically challenging. Herein, we demonstrate robust covalent organic framework...
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Article
Passive interfacial cooling-induced sustainable electricity–water cogeneration
The utilization of solar energy for electricity and water generation is widely considered as a sustainable solution for water scarcity and electricity shortages. Here we present a rationally designed hybrid sy...
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Article
Weakly negative permittivity: metal–organic frameworks derived cobalt nanoparticles encapsulated by positive-hexagon-shaped carbon nanosheets
Epsilon-negative metamaterials (ENMs) have gained significant attention due to their promising applications in various fields, such as microwave absorption or shielding, radio transmission, and solar energy ha...
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Article
Open AccessCo-embedding of edges and nodes with deep graph convolutional neural networks
Graph neural networks (GNNs) have significant advantages in dealing with non-Euclidean data and have been widely used in various fields. However, most of the existing GNN models face two main challenges: (1) M...
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Article
Open AccessPredicting response to immunotherapy in gastric cancer via assessing perineural invasion-mediated inflammation in tumor microenvironment
The perineural invasion (PNI)-mediated inflammation of the tumor microenvironment (TME) varies among gastric cancer (GC) patients and exhibits a close relationship with prognosis and immunotherapy. Assessing t...
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Article
COVID-19: a disruptive impact on the knowledge support of references
According to existing research, in the general scientific backdrop, individuals prefer to employ old and well-established knowledge to promote scientific advancement, resulting in the progress of science in a ...
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Chapter and Conference Paper
An Indoor Floor Location Method Based on Minimum Received Signal Strength (RSS) Dynamic Compensation and Multi Label Classification
In high-rise buildings, floor identification is the premise and basis of indoor two-dimensional plane positioning. Accurate floor judgment can effectively reduce the search space in the matching stage. In orde...
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Chapter and Conference Paper
An Improved Multi-dimensional Weighted K-nearest Neighbor Indoor Location Algorithm
Aiming at the defects of low positioning accuracy and poor stability of the traditional WiFi location fingerprint indoor positioning method based on the K-nearest neighbor (KNN) algorithm, an improved multi-di...
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Article
Open AccessIntegrated analysis of miRNAs and mRNA profiling reveals the potential roles of miRNAs in sheep hair follicle development
Merino sheep exhibit high wool production and excellent wool quality. The fleece of Merino sheep is predominantly composed of wool fibers grown from hair follicles (HFs). The HF is a complex biological system ...
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Article
Open AccessTwo-dimensional mineral hydrogel-derived single atoms-anchored heterostructures for ultrastable hydrogen evolution
Hydrogen energy is critical for achieving carbon neutrality. Heterostructured materials with single metal-atom dispersion are desirable for hydrogen production. However, it remains a great challenge to achieve...
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Article
GSTM2 is a key molecular determinant of resistance to SG-ARIs
Prostate cancer (PCa) continues to threaten men’s health, and treatment targeting the androgen receptor (AR) pathway is the major therapy for PCa patients. Several second-generation androgen receptor inhibitor...
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Article
Last glacial terrestrial vegetation record of leaf wax n-alkanols in the northern South China Sea: Contrast to scenarios from long-chain n-alkanes
Long-chain n-alkanols and n-alkanes in core sediments from the northern South China Sea (SCS) were measured to make a comparison during terrestrial vegetation reconstruction from ~42 ka to ~7 ka. The results show...
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Article
Open AccessGene network analysis reveals candidate genes related with the hair follicle development in sheep
Merino sheep are the most famous fine wool sheep in the world. They have high wool production and excellent wool quality and have attracted worldwide attention. The fleece of the Merino sheep is composed predo...
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Article
Open AccessA Clinical Diagnostic Study: Fibulin-2 is a Novel Promising Biomarker for Predicting Infection
Infection remains a major cause of morbidity and mortality in hospital. As uncontrolled early infection may develop into systemic infection and eventually progress to sepsis, it is important to address infecti...
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Article
Open AccessAn artificial intelligence method to assess the tumor microenvironment with treatment outcomes for gastric cancer patients after gastrectomy
The tumor microenvironment (TME) plays an important role in the occurrence and development of gastric cancer (GC) and is widely used to assess the treatment outcomes of GC patients. Immunohistochemistry (IHC) ...
