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Article ; Online: Assessment of Ship-Overtaking Situation Based on Swarm Intelligence Improved KDE.

Xue, Han

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 7219661

Abstract: This paper proposes a data-driven risk assessment model for ship overtaking based on the particle swarm optimization (PSO) improved kernel density estimation (KDE). By minimizing the mean square error between the real probability distribution of the ship ...

Abstract	This paper proposes a data-driven risk assessment model for ship overtaking based on the particle swarm optimization (PSO) improved kernel density estimation (KDE). By minimizing the mean square error between the real probability distribution of the ship overtaking point and the kernel density estimation probability distribution calculated by the current kernel density bandwidth, the longitude and latitude of the ship overtaking point are displayed by the color corresponding to the probability as the cost objective function of the search bandwidth of the algorithm. This can better show the distribution of the overtaking points of channel propagation traffic flow. A probability-based ship-overtaking risk evaluation model is developed through the bandwidth and density analysis optimized by an intelligent algorithm. In order to speed up searching the optimal variable width of the kernel density estimator for ship encountering positions, an improved adaptive variable-width kernel density estimator is proposed. The latter reduces the risk of too smooth probability density estimation phenomenon. Its convergence is proved. Finally, the model can efficiently evaluate the risk status of ship overtaking and provide navigational auxiliary decision support for pilots.
MeSH term(s)	Algorithms ; Intelligence ; Probability ; Ships ; Spatial Analysis
Language	English
Publishing date	2022-06-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/7219661
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Article ; Online: Economic Analysis and Evaluation of Energy-efficient Renovation of Existing Buildings Based on the Whole Life Cycle

Xue Han

E3S Web of Conferences, Vol 251, p

2021 Volume 02093

Abstract: There has long been a lack of understanding of the costs and benefits of energy-efficient renovation of existing buildings, which discourages the participation of stakeholders. This paper studied the energy-saving renovation of existing buildings, ... ...

Abstract	There has long been a lack of understanding of the costs and benefits of energy-efficient renovation of existing buildings, which discourages the participation of stakeholders. This paper studied the energy-saving renovation of existing buildings, analyzed the incremental cost and incremental benefit based on the whole life cycle, and constructed the economic evaluation model of energy-saving renovation of existing buildings to provide a scientific theoretical basis for the economic evaluation of the energy-saving renovation of existing buildings and provide references for the decision-making of stakeholders, and promote the energy-saving renovation of buildings from an economic point of view.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Inhibition of GluN2B-containing NMDA receptors in early life combined with social stress in adulthood leads to alterations in prefrontal PNNs in mice.

Liang, Yi-Rui / Zhang, Xue-Han

Sheng li xue bao : [Acta physiologica Sinica

2024 Volume 76, Issue 1, Page(s) 1–11

Abstract: Perineuronal nets (PNNs) are specialized extracellular matrix (ECM) structures present in the central nervous system (CNS) and have been identified as significant regulators of developmental plasticity in the developing cortex. PNNs are particularly ... ...

Abstract	Perineuronal nets (PNNs) are specialized extracellular matrix (ECM) structures present in the central nervous system (CNS) and have been identified as significant regulators of developmental plasticity in the developing cortex. PNNs are particularly enriched in the cortex surrounding parvalbumin-expressing (PV
MeSH term(s)	Animals ; Humans ; Mice ; Cell Adhesion Molecules ; Central Nervous System ; Cerebral Cortex ; Extracellular Matrix ; Nuclear Proteins ; Receptors, N-Methyl-D-Aspartate ; Stress, Psychological
Chemical Substances	Cell Adhesion Molecules ; Nuclear Proteins ; PNN protein, human ; Receptors, N-Methyl-D-Aspartate ; NR2B NMDA receptor
Language	English
Publishing date	2024-02-28
Publishing country	China
Document type	Journal Article
ZDB-ID	604308-2
ISSN	0371-0874
ISSN	0371-0874
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Adaptive Neural Backstepping Sliding Mode Heading Control for Underactuated Ships with Drift Angle and Ship-Bank Interaction

Xue Han

Computational Intelligence and Neuroscience, Vol

2020 Volume 2020

Abstract: In order to track the desired path under unknown parameters and environmental disturbances, an adaptive backstepping sliding mode control algorithm with a neural estimator is proposed for underactuated ships considering both ship-bank interaction effect ... ...

Abstract	In order to track the desired path under unknown parameters and environmental disturbances, an adaptive backstepping sliding mode control algorithm with a neural estimator is proposed for underactuated ships considering both ship-bank interaction effect and shift angle. Using the features of radial basis function neural network, which can approximate arbitrary function, the unknown parameters of the ship model and environmental disturbances are estimated. The trajectory tracking errors include stabilizing sway and surge velocities errors. Based on the Lyapunov stability theory, the tracking error will converge to zero and the system is asymptotically stable. The controlled trajectory is contractive and asymptotically tends to the desired position and attitude. The results show that compared with the basic sliding mode control algorithm, the overshoot of the adaptive backstepping sliding mode control with neural estimator is smaller and the regulation time of the system is shorter. The ship can adjust itself and quickly reach its desired position under disturbances. This shows that the designed RBF neural network observer can track both the mild level 3 sea state and the bad level 5 sea state, although the wave disturbance has relatively fast time-varying disturbance. The algorithm has good tracking performance and can realize the accurate estimation of wave disturbance, especially in bad sea conditions.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	629
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Time Window Delineation for Shared Parking in Urban Center

Xue Han / Chen Li

E3S Web of Conferences, Vol 372, p

2023 Volume 02011

Abstract: The key to solving parking problem in urban centers using shared parking strategy lies in parking demand prediction and time window delineation for shared parking spaces. By analyzing the temporal distribution of parking demand for different land types, ... ...

Abstract	The key to solving parking problem in urban centers using shared parking strategy lies in parking demand prediction and time window delineation for shared parking spaces. By analyzing the temporal distribution of parking demand for different land types, the influence of public transport on the demand for private car trips, and the analysis of residents’ behavior of parking sharing, a behavioral choice-parking generation rate prediction model for shared parking demand is constructed. And on this basis, the study also lays emphasis on the principles and methods of parking time windows, predicts the number of available parking spaces and reserved parking spaces during the parking sharing period, and identifies the time windows for shared parking in the urban center.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multi-Channel Expression Recognition Network Based on Channel Weighting

Xiuwen Lu / Hongying Zhang / Qi Zhang / Xue Han

Applied Sciences, Vol 13, Iss 1968, p

2023 Volume 1968

Abstract: Accurate expression interpretation occupies a huge proportion of human-to-human communication. The control of expressions can facilitate more convenient communication between people. Expression recognition technology has also been transformed from ... ...

Abstract	Accurate expression interpretation occupies a huge proportion of human-to-human communication. The control of expressions can facilitate more convenient communication between people. Expression recognition technology has also been transformed from relatively mature laboratory-controlled research to natural scenes research. In this paper, we design a multi-channel attention network based on channel weighting for expression analysis in natural scenes. The network mainly consists of three parts: Multi-branch expression recognition feature extraction network, which combines residual network ResNet18 and ConvNeXt network ideas to improve feature extraction and uses adaptive feature fusion to build a complete network; Adaptive Channel Weighting, which designs adaptive weights in the auxiliary network for feature extraction, performs channel weighting, and highlights key information areas; and Attention module, which designs and modifies the spatial attention mechanism and increases the proportion of feature information to accelerate the acquisition of important expression feature information areas. The experimental results show that the proposed method achieves better recognition efficiency than existing algorithms on the dataset FER2013 under uncontrolled conditions, reaching 73.81%, and also achieves good recognition accuracy of 89.65% and 85.24% on the Oulu_CASIA and RAF-DB datasets, respectively.
Keywords	facial expression recognition ; convolution neural network ; deep learning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	006
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: CT Diagnosis of Median Arcuate Ligament Compression Syndrome with Spontaneous Isolated Superior Mesenteric Artery Dissection

Xue HAN / Jinyong ZHAO / Zhaohui WANG / Dandan GENG

CT Lilun yu yingyong yanjiu, Vol 32, Iss 4, Pp 567-

A Case Report

2023 Volume 572

Abstract: This article explores the CT findings and outcome of a case involving median arcuate ligament compression syndrome complicated with spontaneous isolated superior mesenteric artery dissection. Three-dimensional reconstruction of multi-detector spiral CT ... ...

Abstract	This article explores the CT findings and outcome of a case involving median arcuate ligament compression syndrome complicated with spontaneous isolated superior mesenteric artery dissection. Three-dimensional reconstruction of multi-detector spiral CT angiography can effectively display the degree of abdominal trunk stenosis, development of collateral circulation, and dynamic process of superior mesenteric artery dissection remodeling. This approach is valuable for evaluating the disease and guiding the clinical treatment.
Keywords	tomography ; x-ray computer ; median arcuate ligament ; superior mesenteric artery ; aortic dissection ; Geophysics. Cosmic physics ; QC801-809 ; Medicine (General) ; R5-920
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Editorial Office of Computerized Tomography Theory and Application
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Electrophysiological and morphological properties of prefrontal pyramidal neurons innervated by mediodorsal thalamus.

Fan, Zu-Quan / Tao, Xiao-Dong / Wei, Ya-Ru / Zhang, Xue-Han

Sheng li xue bao : [Acta physiologica Sinica

2024 Volume 76, Issue 2, Page(s) 233–246

Abstract: The high-order cognitive and executive functions are necessary for an individual to survive. The densely bidirectional innervations between the medial prefrontal cortex (mPFC) and the mediodorsal thalamus (MD) play a vital role in regulating high-order ... ...

Abstract	The high-order cognitive and executive functions are necessary for an individual to survive. The densely bidirectional innervations between the medial prefrontal cortex (mPFC) and the mediodorsal thalamus (MD) play a vital role in regulating high-order functions. Pyramidal neurons in mPFC have been classified into several subclasses according to their morphological and electrophysiological properties, but the properties of the input-specific pyramidal neurons in mPFC remain poorly understood. The present study aimed to profile the morphological and electrophysiological properties of mPFC pyramidal neurons innervated by MD. In the past, the studies for characterizing the morphological and electrophysiological properties of neurons mainly relied on the electrophysiological recording of a large number of neurons and their morphologic reconstructions. But, it is a low efficient method for characterizing the circuit-specific neurons. The present study combined the advantages of traditional morphological and electrophysiological methods with machine learning to address the shortcomings of the past method, to establish a classification model for the morphological and electrophysiological properties of mPFC pyramidal neurons, and to achieve more accurate and efficient identification of the properties from a small size sample of neurons. We labeled MD-innervated pyramidal neurons of mPFC using the trans-synaptic neural circuitry tracing method and obtained their morphological properties using whole-cell patch-clamp recording and morphologic reconstructions. The results showed that the classification model established in the present study could predict the electrophysiological properties of MD-innervated pyramidal neurons based on their morphology. MD-innervated pyramidal neurons exhibit larger basal dendritic length but lower apical dendrite complexity compared to non-MD-innervated neurons in the mPFC. The morphological characteristics of the two subtypes (ET-1 and ET-2) of mPFC pyramidal neurons innervated by MD are different, with the apical dendrites of ET-1 neurons being longer and more complex than those of ET-2 neurons. These results suggest that the electrophysiological properties of MD- innervated pyramidal neurons within mPFC correlate with their morphological properties, indicating that the different roles of these two subclasses in local circuits within PFC, as well as in PFC-cortical/subcortical brain region circuits.
MeSH term(s)	Pyramidal Cells/physiology ; Pyramidal Cells/cytology ; Prefrontal Cortex/physiology ; Prefrontal Cortex/cytology ; Animals ; Rats ; Mediodorsal Thalamic Nucleus/physiology ; Mediodorsal Thalamic Nucleus/cytology ; Male ; Electrophysiological Phenomena ; Neural Pathways/physiology ; Neural Pathways/cytology ; Machine Learning ; Rats, Sprague-Dawley ; Patch-Clamp Techniques
Language	English
Publishing date	2024-04-24
Publishing country	China
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	604308-2
ISSN	0371-0874
ISSN	0371-0874
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 386: Show issues

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Jg. 1995 - 2021: Lesesall (1.OG)
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Article ; Online: Harnessing the Power of Microwave Irradiation

Moataz K. Abdrabou / Xue Han / Yimin Zeng / Ying Zheng

Molecules, Vol 28, Iss 23, p

A Novel Approach to Bitumen Partial Upgrading

2023 Volume 7769

Abstract: The partial upgrading of “tar-like” Canadian bitumen is an essential process to reduce its viscosity to an acceptable range that meets the required pipeline specifications. An innovative and potentially greener solution has emerged in the form of ... ...

Abstract	The partial upgrading of “tar-like” Canadian bitumen is an essential process to reduce its viscosity to an acceptable range that meets the required pipeline specifications. An innovative and potentially greener solution has emerged in the form of microwave irradiation. This work proposes and demonstrates the use of an electrically powered commercial microwave along with carbon-based microwave susceptors (activated carbon, biochar, coke, and graphite) to promote localized thermal cracking within bitumen at a temperature as low as 150 °C, compared to the conventional method of 400 °C. The remarkable results show that just 0.1 wt% of carbon additives can reduce the viscosity of bitumen by 96% with just 10 min of microwaving at 200 °C. A Saturates, Aromatics, Resins, and Asphaltenes (SARA) analysis reveals that the mass fractions of light components (saturates) are almost doubled and that almost one-third of heavy polar hydrocarbon constituents are cracked and decomposed into much lighter molecules, resulting in higher-quality, less viscous bitumen. Furthermore, this study highlights the key role of the surface area and porosity of the carbon microwave susceptor in absorbing microwave radiation, offering exciting new avenues for optimization. Microwave-assisted partial upgrading of bitumen is a cost-effective and eco-friendly alternative to conventional upgrading, producing upgraded bitumen that requires significantly less diluent at a lower cost prior to pipeline transportation.
Keywords	microwave-assisted upgrading ; bitumen partial upgrading ; carbon susceptors ; heavy oil processing ; microwave energy ; Organic chemistry ; QD241-441
Subject code	670
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Redundant mechanisms regulating the proliferation vs. differentiation balance in the C. elegans germline

Kara Vanden Broek / Xue Han / Dave Hansen

Frontiers in Cell and Developmental Biology, Vol

2022 Volume 10

Abstract: The proper production of gametes over an extended portion of the life of an organism is essential for a high level of fitness. The balance between germline stem cell (GSC) proliferation (self-renewal) and differentiation (production of gametes) must be ... ...

Abstract	The proper production of gametes over an extended portion of the life of an organism is essential for a high level of fitness. The balance between germline stem cell (GSC) proliferation (self-renewal) and differentiation (production of gametes) must be tightly regulated to ensure proper gamete production and overall fitness. Therefore, organisms have evolved robust regulatory systems to control this balance. Here we discuss the redundancy in the regulatory system that controls the proliferation vs. differentiation balance in the C. elegans hermaphrodite germline, and how this redundancy may contribute to robustness. We focus on the various types of redundancy utilized to regulate this balance, as well as the approaches that have enabled these redundant mechanisms to be uncovered.
Keywords	stem cells ; C. elegans ; germline ; germline stem cells ; proliferation vs. differentiation balance ; redundancy ; Biology (General) ; QH301-705.5
Subject code	571
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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