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Article
Open AccessOperative treatment of pulmonary primitive neuroectodermal tumor: a case report and literature review
Pulmonary primitive neuroectodermal tumor (PNET), a member of the Ewing sarcoma family of tumors, is a rare malignancy that is associated with a grim prognosis. To date, fewer than 30 cases of pulmonary PNET h...
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Article
Open AccessSerum LDL Promotes Microglial Activation and Exacerbates Demyelinating Injury in Neuromyelitis Optica Spectrum Disorder
Neuromyelitis optica spectrum disorder (NMOSD) is an autoimmune inflammatory demyelinating disease of the central nervous system (CNS) accompanied by blood-brain barrier (BBB) disruption. Dysfunction in microg...
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Article
An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures
Digital twin, a core technology for intelligent manufacturing, has gained extensive research interest. The current research was mainly focused on digital twin based on design models representing ideal geometri...
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Article
Open AccessMulti-omics analysis reveals changes in tryptophan and cholesterol metabolism before and after sexual maturation in captive macaques
Rhesus macaques (Macaca mulatta, RMs) are widely used in sexual maturation studies due to their high genetic and physiological similarity to humans. However, judging sexual maturity in captive RMs based on blood ...
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Article
Open AccessTREM2 deficiency inhibits microglial activation and aggravates demyelinating injury in neuromyelitis optica spectrum disorder
Neuromyelitis optica spectrum disorder (NMOSD) is an inflammatory demyelinating disorder of the central nervous system (CNS) triggered by autoimmune mechanisms. Microglia are activated and play a pivotal role ...
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Article
Open AccessAnti-BCMA CAR T-cell therapy CT103A in relapsed or refractory AQP4-IgG seropositive neuromyelitis optica spectrum disorders: phase 1 trial interim results
Chimeric antigen receptor (CAR) T-cell therapy that targets B-cell maturation antigen (BCMA) have great potentials in autoimmune diseases and could be novel therapeutics for relapsed/refractory neuromyelitis o...
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Chapter and Conference Paper
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems
Recently, it has been demonstrated that a solution set that is better than the final population can be obtained by subset selection in some studies on evolutionary multi-objective optimization. The main challe...
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Chapter
Bioinspired Materials Inherited with Antimicrobial Properties for Tissue Engineering
The advancement in the preparation of biomaterials that possess tissue engineering applications has predominantly concerted on develo** biomimetic materials inherited with the properties of designing new tis...
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Article
Open AccessCSF sTREM2 in neurological diseases: a two-sample Mendelian randomization study
Soluble triggering receptor expressed on myeloid cells 2 (sTREM2) in cerebrospinal fluid (CSF) has been described as a biomarker for microglial activation, which were observed increased in a variety of neurolo...
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Article
Galectin-1 Contributes to Vascular Remodeling and Blood Flow Recovery After Cerebral Ischemia in Mice
Galectin-1 is found in the vasculature and has been confirmed to promote angiogenesis in several cancer models. Furthermore, galectin-1 has been demonstrated to improve the recovery of cerebral ischemia. Howev...
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Article
Open AccessFSAP aggravated endothelial dysfunction and neurological deficits in acute ischemic stroke due to large vessel occlusion
Revascularization and angiogenesis, as substrates of sustained collateral circulation, play a crucial role in determining the severity and clinical outcome of acute ischemic stroke (AIS) due to large vessel oc...
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Chapter and Conference Paper
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation
In this paper, we propose HVC-Net, a deep learning based hypervolume contribution approximation method for evolutionary multi-objective optimization. The basic idea of HVC-Net is to use a deep neural network t...
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Chapter and Conference Paper
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation
Recently, an R2-based hypervolume contribution approximation (i.e., \(R_2^{HVC}\) R ...
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Article
Nigella Sativa-Coated Hydroxyapatite Scaffolds: Synergetic Cues to Stimulate Myoblasts Differentiation and Offset Infections
At present osteoporosis has come into view as a major health concern. Skeletal diseases typified by weak and fragile bones have imposed threats of fissure. Hydroxyapatite (HAP) is known to induce osteoblast li...
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Article
Open AccessClimatology and physical mechanisms of the tropospheric warm cores over the Tibetan Plateau and its vicinity
The frequently observed tropospheric warm cores over the Tibetan Plateau (TP) are unique climate phenomena and are crucial to the Asian summer monsoon development. However, their climatological structure and f...
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Chapter and Conference Paper
Improving the Efficiency of R2HCA-EMOA
R2HCA-EMOA is a recently proposed hypervolume-based evolutionary multi-objective optimization (EMO) algorithm. It uses an R2 indicator variant to approximate the hypervolume contribution of each solution. Mean...
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Chapter and Conference Paper
Research on Investment Strategy of Building Industrialization from the Perspective of Policy Driven
The development of building industrialization conforms to the new trend of high efficiency, energy saving and environmental protection. The related government departments have formulated corresponding policies...
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Chapter and Conference Paper
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems
The multi-objective evolutionary algorithm based on decomposition (MOEA/D) is one of the most popular algorithms in the EMO community. In the last decade, the high performance of MOEA/D has been reported in ma...
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Chapter and Conference Paper
Hypervolume Optimal \(\mu \) -Distributions on Line-Based Pareto Fronts in Three Dimensions
Hypervolume optimal \(\mu \) -distribution is a fundamental research topic which investigates the distribution of \(\mu \) solutions on the Pareto front for hypervolume maximization. It has been theoretically ...
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Chapter and Conference Paper
Proposal of a Realistic Many-Objective Test Suite
Real-world many-objective optimization problems are not always available as easy-to-use test problems. For example, their true Pareto fronts are usually unknown, and they are not scalable with respect to the n...
