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Article
Open AccessEffect of nanosilica on the hydrological properties of loess and the microscopic mechanism
Loess areas, such as the Loess Plateau, are characterized by a fragile ecological environment, high soil erosion, and frequent geological disasters due to the unique hydrological properties of loess (e.g., col...
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Article
Strong chiroptical nonlinearity in coherently stacked boron nitride nanotubes
Nanomaterials with a large chiroptical response and high structural stability are desirable for advanced miniaturized optical and optoelectronic applications. One-dimensional (1D) nanotubes are robust crystals...
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Article
Experimental study on structural effects of particle migration in Malan loess under different dry and wet conditions
Malan loess is a wind-deposited sediment that is loose and porous and has high water permeability. It has experienced many dry–wet cycles during tens of thousands of years, resulting in unique engineering prop...
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Chapter and Conference Paper
\(\textbf{E}^{3}\) -MG: End-to-End Expert Linking via Multi-Granularity Representation Learning
Expert linking is a task to link any mentions with their corresponding expert in a knowledge base (KB). Previous works that focused on explicit features did not fully exploit the fine-grained linkage and pivot...
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Article
Open AccessUniversal epitaxy of non-centrosymmetric two-dimensional single-crystal metal dichalcogenides
The great challenge for the growth of non-centrosymmetric 2D single crystals is to break the equivalence of antiparallel grains. Even though this pursuit has been partially achieved in boron nitride and transi...
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Article
Open AccessGeneral low-temperature growth of two-dimensional nanosheets from layered and nonlayered materials
Most of the current methods for the synthesis of two-dimensional materials (2DMs) require temperatures not compatible with traditional back-end-of-line (BEOL) processes in semiconductor industry (450 °C). Here...
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Chapter and Conference Paper
Wukong-CMNER: A Large-Scale Chinese Multimodal NER Dataset with Images Modality
So far, Multimodal Named Entity Recognition (MNER) has been performed almost exclusively on English corpora. Chinese phrases are not naturally segmented, making Chinese NER more challenging; nonetheless, Chine...
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Article
Improving the small ball-end magnetorheological polishing efficiency of fused silica workpiece by the promoting effect of water-bath heating and sodium hydroxide addition on polishing velocity and chemical reaction
Small fused silica components with complex structure, such as hemispherical shell resonator in inertial navigation system, are the core components of the equipment in precision optics, aerospace, and other fie...
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Article
Open AccessStudy on mechanism of improving efficiency of permanent-magnet small ball-end magnetorheological polishing by increasing magnetorheological fluid temperature
Permanent-magnet small ball-end magnetorheological polishing method can be used to polish the small part with complex structure. However, the material removal rate of this method is low, which is difficult to ...
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Article
CK-Modes Clustering Algorithm Based on Node Cohesion in Labeled Property Graph
The designation of the cluster number K and the initial centroids is essential for K-modes clustering algorithm. However, most of the improved methods based on K-modes specify the K value manually and generate th...
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Article
Nickel Bipyridine (Ni(bpy)3Cl2) Complex Used as Molecular Catalyst for Photocatalytic CO2 Reduction
A facile heterogeneous photocatalyst system that consists of a nickel complex and cadmium sulfide (CdS), which act as the catalyst and light antenna, respectively, was developed to the efficiency photocatalyti...
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Chapter and Conference Paper
Efficient Queries Evaluation on Block Independent Disjoint Probabilistic Databases
Probabilistic data management has recently drawn much attention of the database research community. This paper investigates safe plans of queries on block independent disjoint (BID) probabilistic databases. Th...
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Chapter and Conference Paper
Reflection on the Popularity of MapReduce and Observation of Its Position in a Unified Big Data Platform
In recent years MapReduce has risen to be the de-facto tool for big data processing. MapReduce is a disruptive innovation. It has changed the landscape of database market, the landscape of technologies, as wel...
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Chapter and Conference Paper
Efficient Responsibility Analysis for Query Answers
Provenance information describes the origins and the history of data in its life cycle. Responsibility captures the notion of degree of causality and tells us which facts are the most influential in the lineag...
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Chapter and Conference Paper
H-Tree: A Hybrid Structure for Confidence Computation in Probabilistic Databases
Probabilistic database has become a popular tool for uncertain data management. Most work in the area is focused on efficient query processing and has two main directions, accurate or approximate evaluation. I...
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Article
Rule induction for uncertain data
Data uncertainty are common in real-world applications and it can be caused by many factors such as imprecise measurements, network latency, outdated sources and sampling errors. When mining knowledge from the...
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Chapter and Conference Paper
Classify Uncertain Data with Decision Tree
This demo presents a decision tree based classificationsystem for uncertain data. Decision tree is a commonlyused data classification technique. Tree learning algorithms cangenerate decision tree models from a...
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Chapter and Conference Paper
Cleaning Uncertain Streams for Query Improvement
Real-world applications confront uncertain streams derived from unreliable data acquisition equipments and/or defective processing algorithms. However, application context covers specific cleaning rules to bri...
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Chapter and Conference Paper
Cleaning Uncertain Streams by Parallelized Probabilistic Graphical Models
Real-world applications generate uncertain streams due to unreliable equipments and/or data processing such as object identification. However, application context implies specific rules, which are critical in ...
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Chapter and Conference Paper
DTU: A Decision Tree for Uncertain Data
Decision Tree is a widely used data classification technique. This paper proposes a decision tree based classification method on uncertain data. Data uncertainty is common in emerging applications, such as sen...
