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Article
Seismic effectiveness evaluation and optimized design of tie up method for securing museum collections
To quantify the seismic effectiveness of the most commonly used fishing line tie up method for securing museum collections and optimize fixed strategies for exhibitions, shaking table tests of the seismic syst...
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Article
Open AccessClinical efficacy of ureteroscopy-assisted laparoscopic ureteroplasty in the treatment of ureteral stricture after pelvic surgery
This study is to investigate the safety and efficacy of ureteroscope-assisted laparoscopic ureteroplasty in treating ureteral stricture after pelvic surgery.
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Article
Open AccessClinical efficacy analysis of tip‑flexible suctioning ureteral access sheath combined with disposable flexible ureteroscope to treat 2–4 cm renal stones
This study aims to evaluate the clinical efficacy of using a tip‑flexible suctioning ureteral access sheath (TFS-UAS) in combination with a traditional ureteral access sheath (T-UAS) and a disposable flexible ...
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Article
Open AccessPhylogenetic evidence reveals early Kra-Dai divergence and dispersal in the late Holocene
Studying language evolution brings a crucial perspective to bear on questions of human prehistory. As the most linguistically diverse region on earth, East and Southeast Asia have witnessed extensive sociocult...
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Article
A Method for Reducing Ocean Wave-Induced Magnetic Noises in Shallow-Water MT Data Using a Complex Adaptive Filter
In shallow-water areas, the marine magnetotelluric (MT) method faces a challenge in the investigation of seabed conductivity structures due to electrical and magnetic noises induced by ocean waves, which serio...
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Chapter and Conference Paper
A Preliminary Study of Individual Based Crowd Simulation Based on Bayesian Nash Equilibrium
The lack of experimental datasets for individual behaviours has hindered the systematic studies of pedestrian behaviours as well as the refined development of regular laws of individual movement in simulation ...
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Article
Introduction to the special issue on agent-based models in urban economics
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Chapter and Conference Paper
An Agent-Based Model of UK Farmers’ Decision-Making on Adoption of Agri-environment Schemes
Agri-environment schemes (AES) are government-funded voluntary programs that incentivise farmers and land managers for environmental friendly farming practices. Understanding farmers’ decision-making process a...
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Article
Nickel substituted tungstophosphoric acid supported on Y-ASA composites as catalysts for the dehydration of gas-phase glycerol to acrolein
We report a series of nickel-substituted tungstophosphoric acid on Y-ASA (NixH3-2xPW/Y-ASA, x = 0, 0.5, 1.0, 1.5), prepared by a (co)impregnation method, which are efficient catalysts for dehydration of gas-phase...
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Article
Open AccessCrossing the chasm: a ‘tube-map’ for agent-based social simulation of policy scenarios in spatially-distributed systems
Agent based models (ABMs) simulate actions and interactions of autonomous agents/groups and their effect on systems as a whole, accounting for learning without assuming perfect rationality or complete knowledg...
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Article
Sequential pattern mining in databases with temporal uncertainty
Temporally uncertain data widely exist in many real-world applications. Temporal uncertainty can be caused by various reasons such as conflicting or missing event timestamps, network latency, granularity misma...
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Chapter and Conference Paper
Preliminary Results from an Agent-Based Model of the Daily Commute in Aberdeen and Aberdeenshire, UK
Rapid economic and population growth have posed challenges to Aberdeen City and Shire in UK. Some social policies can potentially be helpful to alleviate traffic congestion and help people maintain a healthy w...
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Chapter and Conference Paper
Distributed Sequential Pattern Mining in Large Scale Uncertain Databases
While sequential pattern mining (SPM) is an import application in uncertain databases, it is challenging in efficiency and scalability. In this paper, we develop a dynamic programming (DP) approach to mine pro...
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Chapter and Conference Paper
Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases
Uncertain sequence databases are widely used to model data with inaccurate or imprecise timestamps in many real world applications. In this paper, we use uniform distributions to model uncertain timestamps and...
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Chapter and Conference Paper
Mining Uncertain Sequential Patterns in Iterative MapReduce
This paper proposes a sequential pattern mining (SPM) algorithm in large scale uncertain databases. Uncertain sequence databases are widely used to model inaccurate or imprecise timestamped data in many real a...
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Chapter and Conference Paper
Who Creates Housing Bubbles? An Agent-Based Study
This paper develops an agent-based spatial model of the housing market. A house is many families’ biggest asset. It is also widely held by financial institutions, in the form of mortgage-backed securities. As ...
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Chapter and Conference Paper
AutoBayesian: Develo** Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically construct Bayesian networks ...
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Chapter and Conference Paper
StreamFitter: A Real Time Linear Regression Analysis System for Continuous Data Streams
In this demo, we present the StreamFitter system for real-time linear regression analysis on continuous data streams. In order to perform regression on data streams, it is necessary to continuously update 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
UNN: A Neural Network for Uncertain Data Classification
This paper proposes a new neural network method for classifying uncertain data (UNN). Uncertainty is widely spread in real-world data. Numerous factors lead to data uncertainty including data acquisition devic...
