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Article ; Online: The interplay of dopamine metabolism abnormalities and mitochondrial defects in the pathogenesis of schizophrenia.

Xu, Haiyun / Yang, Fan

2022 Volume 12, Issue 1, Page(s) 464

Abstract: Dopamine (DA) is a major monoamine neurotransmitter in the brain and has essential roles in higher functions of the brain. Malfunctions of dopaminergic signaling have been implicated in various mental disorders such as addiction, attention deficit/ ... ...

Abstract	Dopamine (DA) is a major monoamine neurotransmitter in the brain and has essential roles in higher functions of the brain. Malfunctions of dopaminergic signaling have been implicated in various mental disorders such as addiction, attention deficit/hyperactivity disorder, Huntington's disease, Parkinson's disease (PD), and schizophrenia. The pathogenesis of PD and schizophrenia involves the interplay of mitochondrial defect and DA metabolism abnormalities. This article focuses on this issue in schizophrenia. It started with the introduction of metabolism, behavioral action, and physiology of DA, followed by reviewing evidence for malfunctions of dopaminergic signaling in patients with schizophrenia. Then it provided an overview of multiple facets of mitochondrial physiology before summarizing mitochondrial defects reported in clinical studies with schizophrenia patients. Finally, it discussed the interplay between DA metabolism abnormalities and mitochondrial defects and outlined some clinical studies showing effects of combination therapy of antipsychotics and antioxidants in treating patients with schizophrenia. The update and integration of these lines of information may advance our understanding of the etiology, pathogenesis, phenomenology, and treatment of schizophrenia.
MeSH term(s)	Humans ; Schizophrenia/metabolism ; Dopamine/metabolism ; Antipsychotic Agents/therapeutic use ; Parkinson Disease/drug therapy ; Mitochondria/metabolism
Chemical Substances	Dopamine (VTD58H1Z2X) ; Antipsychotic Agents
Language	English
Publishing date	2022-11-07
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2609311-X
ISSN	2158-3188 ; 2158-3188
ISSN (online)	2158-3188
ISSN	2158-3188
DOI	10.1038/s41398-022-02233-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Systematic Review: Landscape Characteristics Correlated with Physical Activity of the Elderly People

Li, Dan / Xu, Haiyun / Kang, Le / Steemers, Koen

Land. 2023 Mar. 03, v. 12, no. 3

2023

Abstract: 1) Background: Green and open spaces are conducive to physical activity for the elderly. However, it is unclear how different landscape characteristics relate to the physical activity of the elderly. (2) Methods: following the PRISMA method, this study ... ...

Abstract	(1) Background: Green and open spaces are conducive to physical activity for the elderly. However, it is unclear how different landscape characteristics relate to the physical activity of the elderly. (2) Methods: following the PRISMA method, this study reviewed the existing literature on the landscape characteristics correlated with the elderly’s physical activity (PA) from Web of Science, Scopus, and PubMed. We conducted a systematic full-text review of 25 eligible reports and studies related to the linkage between the characteristics of green and open spaces and the elderly’s physical activity (PA); (3) Results: Nature/greenery, safety, road/path conditions, aesthetics, PA facilities, accessibility, amenity, water, and elderly accessibility facilities were found to be positively associated with elderly’s PA. Pavement conditions (gravel), the presence of water, poor maintenance, neighborhood aesthetics, and GVI are negatively correlated with the elderly’s PA; (4) Conclusions: We close the paper by making a few recommendations for future policy-making, practice, and research. It is suggested that the landscape characteristics be applied in evidence-based policy-making and design, and in tackling health inequality. Future research should be more specific about the impact of site-scale factors, include landscape characteristics specifically needed by the elderly to conduct PA, and involve a wider scope of green and open space on top of neighborhood green and open space and parks. Additionally, these studies should take into consideration different cultural settings and geographical scales to reveal the different effects of various aspects of green and open space.
Keywords	aesthetics ; elderly ; gravel ; land ; landscapes ; open space ; pavements ; people ; physical activity ; systematic review ; vegetation
Language	English
Dates of publication	2023-0303
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2682955-1
ISSN	2073-445X
ISSN	2073-445X
DOI	10.3390/land12030605
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Using Social Media Camping Data for Evaluating, Quantifying, and Understanding Recreational Ecosystem Services in Post-COVID-19 Megacities: A Case Study from Beijing

Xu, Haiyun / Zhao, Guohan / Liu, Yan / Miao, Meng

Forests. 2023 June 02, v. 14, no. 6

2023

Abstract: Recreational ecosystem services (RESs) are the diverse recreational opportunities provided by nature to humans, which contribute to the improvement of public health and social well-being. The use of online social media is an efficient method for ... ...

Abstract	Recreational ecosystem services (RESs) are the diverse recreational opportunities provided by nature to humans, which contribute to the improvement of public health and social well-being. The use of online social media is an efficient method for quantifying public perceptions of recreational ecosystem services (RESs) delivered by a given landscape. With the continuously changing demand for nature-focused outdoor recreational activities since COVID-19, camping has become the fastest-growing outdoor leisure activity in megacities and a key indicator for how people perceive and value the RESs provided by the landscape. Such unexpected changings triggered by COVID-19 have further led to an imbalance between demand and supply, which results in fierce conflicts in urban green space management. This study presents a spatial pattern analysis of how people perceive RESs in a megacity-scale case study of Beijing using geo-tagged camping notes posted on Little Red Book (LRB). We employed these camping notes in the context of a megacity to (i) map public camping behaviors patterns in urban green spaces, (ii) evaluate spatial clusters of high/low RESs, and (iii) investigate the relationship between RESs, local landscape features, and gender through correspondence analysis. Our results show that considerable spatial clustering of camping behaviors was observed in both suburban and urban green spaces. However, suburbs revealed a substantially higher RES value than central urban areas. In addition, water bodies were discovered to have remarkably low RES, while grassland and urban forests were found to have a close link with higher RES. In addition, significant gender preferences have been discovered, where female visitors prefer to camp in grassland, and male visitors favor bare ground and urbanized regions. Our findings would assist decision-makers in optimizing urban green space planning and management, adapting to fast-changing public camping demands in the context of the post-COVID-19 era. Findings also contribute to the literature by applying spatial analysis of social media data to understand public outdoor recreation activities and perceived value for megacities’ green space management.
Keywords	COVID-19 infection ; case studies ; cities ; correspondence analysis ; decision making ; ecosystems ; females ; grasslands ; green infrastructure ; landscapes ; males ; outdoor recreation ; people ; public health ; urbanization ; China
Language	English
Dates of publication	2023-0602
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2527081-3
ISSN	1999-4907
ISSN	1999-4907
DOI	10.3390/f14061151
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A Sparse-Array Design Method Using Q Uniform Linear Arrays for Direction-of-Arrival Estimation.

Zhang, Jin / Xu, Haiyun / Ba, Bin / Mei, Fengtong

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 22

Abstract: Nowadays, sparse arrays have been a hotspot for research in the direction of arrival (DOA). In order to achieve a big value for degrees of freedom (DOFs) using spatial smoothing methods, researchers try to use multiple uniform linear arrays (ULAs) to ... ...

Abstract	Nowadays, sparse arrays have been a hotspot for research in the direction of arrival (DOA). In order to achieve a big value for degrees of freedom (DOFs) using spatial smoothing methods, researchers try to use multiple uniform linear arrays (ULAs) to construct sparse arrays. But, with the number of subarrays increasing, the complexity also increases. Hence, in this paper, a design method, named as the cross-coarray consecutive-connected (4C) criterion, and the sparse array using Q ULAs (SA-UQ) are proposed. We first analyze the virtual sensor distribution of SA-U2 and extend the conclusions to SA-UQ, which is the 4C criterion. Then, we give an algorithm to solve the displacement between subarrays under the given Q ULAs. At last, we consider a special case, SA-U3. Through the analysis of DOFs, SA-UQ can find underdetermined signals. Moreover, SA-U3 can obtain DOFs close to other sparse arrays using three ULAs. The simulation experiments prove the performance of SA-UQ.
Language	English
Publishing date	2023-11-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23229116
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms

Elahi, Ehsan / Zhang, Zhixin / Khalid, Zainab / Xu, Haiyun

Energy. 2022 Apr. 01, v. 244

2022

Abstract: The current study estimates target values of energy inputs along with an assessment of energy- and cost-saving strategies for poultry farms. In 2019, cross-sectional data were collected from 192 farmers at environmentally controlled poultry farms in ... ...

Abstract	The current study estimates target values of energy inputs along with an assessment of energy- and cost-saving strategies for poultry farms. In 2019, cross-sectional data were collected from 192 farmers at environmentally controlled poultry farms in Pakistan. A well-structured questionnaire was used to conduct face-to-face interviews with respondents. The results reveal that 1 MJ energy input at poultry farms produced 1.9 MJ of energy output. The Levenberg–Marquardt algorithm found the best topology of the ANN model at a hidden layer consisting of 10 neurons, including the lowest mean absolute percentage error (14.42) and the highest R² (0.83) and model efficiency (0.79). The training model confirmed the inefficient use of energy inputs in the farms and a 3.37% overuse of energy inputs at a given amount of energy output. Particularly, fuel energy was overused by 51.02%. For each flock of chickens (1000 birds), the use of energy inputs at a set target level saved 318.32 MJ of energy input and 5.59 USD in costs. Moreover, at the targeted energy inputs, every year, the cost savings per farm could be 958.84 USD. The parametric analysis reported that the energy inputs of electricity, maize, soybean, and minerals and vitamins significantly increased energy output by 0.80, 0.05, 0.41, and 0.09 units, respectively. Overuse of energy inputs was confirmed because IE and BE showed a decreasing return to scale (RTS< 1). The promising ability of such a training model suggests that using the recommended energy inputs can maximise energy efficiency, and minimise the cost of production on poultry farms.
Keywords	algorithms ; corn ; cost effectiveness ; electricity ; energy efficiency ; farms ; flocks ; neural networks ; production costs ; questionnaires ; soybeans ; topology ; Pakistan
Language	English
Dates of publication	2022-0401
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2019804-8
ISSN	0360-5442 ; 0360-5442
ISSN (online)	0360-5442
ISSN	0360-5442
DOI	10.1016/j.energy.2022.123169
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks.

Jiang, Bo / Chen, Yong / Wang, Beibei / Xu, Haiyun / Tang, Jin

IEEE transactions on neural networks and learning systems

2023 Volume PP

Abstract: Graph convolutional networks (GCNs) have been widely studied to address graph data representation and learning. In contrast to traditional convolutional neural networks (CNNs) that employ many various (spatial) convolution filters to obtain rich feature ... ...

Abstract	Graph convolutional networks (GCNs) have been widely studied to address graph data representation and learning. In contrast to traditional convolutional neural networks (CNNs) that employ many various (spatial) convolution filters to obtain rich feature descriptors to encode complex patterns of image data, GCNs, however, are defined on the input observed graph G(X,A) and usually adopt the single fixed spatial convolution filter for graph data feature extraction. This limits the capacity of the existing GCNs to encode the complex patterns of graph data. To overcome this issue, inspired by depthwise separable convolution and DropEdge operation, we first propose to generate various graph convolution filters by randomly dropping out some edges from the input graph A . Then, we propose a novel graph-dropping convolution layer (GDCLayer) to produce rich feature descriptors for graph data. Using GDCLayer, we finally design a new end-to-end network architecture, that is, a graph-dropping convolutional network (GDCNet), for graph data learning. Experiments on several datasets demonstrate the effectiveness of the proposed GDCNet.
Language	English
Publishing date	2023-08-01
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2023.3296760
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An L-Shaped Three-Level and Single Common Element Sparse Sensor Array for 2-D DOA Estimation.

Du, Bo / Cui, Weijia / Ba, Bin / Xu, Haiyun / Gao, Wubin

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 14

Abstract: The degree of freedom (DOF) is an important performance metric for evaluating the design of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom, while ensuring that the array structure can be mathematically represented, ...

Abstract	The degree of freedom (DOF) is an important performance metric for evaluating the design of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom, while ensuring that the array structure can be mathematically represented, is a crucial research direction in the field of direction of arrival (DOA) estimation. In this paper, we propose a novel L-shaped sparse sensor array by adjusting the physical placement of the sensors in the sparse array. The proposed L-shaped sparse array consists of two sets of three-level and single-element sparse arrays (TSESAs), which estimate the azimuth and elevation angles, respectively, through one-dimensional (1-D) spatial spectrum search. Each TSESA is composed of a uniform linear subarray and two sparse subarrays, with one single common element in the two sparse subarrays. Compared to existing L-shaped sparse arrays, the proposed array achieves higher degrees of freedom, up to 4Q1Q2+8Q1-5, when estimating DOA using the received signal covariance. To facilitate the correct matching of azimuth and elevation angles, the cross-covariance between the two TSESA arrays is utilized for estimation. By comparing and analyzing performance parameters with commonly used L-shaped and other sparse arrays, it is found that the proposed L-shaped TSESA has higher degrees of freedom and array aperture, leading to improved two-dimensional (2-D) DOA estimation results. Finally, simulation experiments validate the excellent performance of the L-shaped TSESA in 2-D DOA estimation.
Language	English
Publishing date	2023-07-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23146625
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Hypercoagulable state in patients with schizophrenia: different effects of acute and chronic antipsychotic medications.

Zheng, Caiji / Liu, Haiyan / Tu, Weifeng / Lin, Lingyun / Xu, Haiyun

Therapeutic advances in psychopharmacology

2023 Volume 13, Page(s) 20451253231200257

Abstract: Background: Previous studies reported higher incidences of venous thromboembolism and cardiovascular disease in schizophrenia patients and higher indicators of thrombosis, thrombocyte activation, and platelet dysfunction.: Objectives: To check if ... ...

Abstract	Background: Previous studies reported higher incidences of venous thromboembolism and cardiovascular disease in schizophrenia patients and higher indicators of thrombosis, thrombocyte activation, and platelet dysfunction. Objectives: To check if first-episode schizophrenia (FES) patients have a hypercoagulable state and determine whether acute and chronic antipsychotics have the same effect on blood coagulation or fibrinolysis-related biomarkers. Design: Case-control study. Methods: A total of 81 participants were grouped in FES, chronic schizophrenia (CS), and healthy controls (HCs). In addition to demographic data and clinical characteristics, immunological analyses were performed to measure plasma levels of D-dimer, plasminogen activator inhibitor-1 (PAI-1), soluble P selectin (sP-sel), tissue plasminogen activator (tPA), thrombotic precursor protein (TpP), and von Willebrand's disease factor (vWF). Results: Compared to HC group, FES patients showed higher PAI-1 (28.61 ng/ml Conclusion: These results suggest a hypercoagulable state in FES patients and demonstrate contrast effects of acute and chronic antipsychotics on coagulation or fibrinolysis in schizophrenia patients.
Language	English
Publishing date	2023-09-27
Publishing country	England
Document type	Journal Article
ZDB-ID	2646542-5
ISSN	2045-1261 ; 2045-1253
ISSN (online)	2045-1261
ISSN	2045-1253
DOI	10.1177/20451253231200257
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Article ; Online: A Mixed-Field Circular and Non-Circular Source Localization Algorithm Based on Exact Spatial Propagation Geometry.

Lin, Wei / Cui, Weijia / Ba, Bin / Xu, Haiyun / Li, Jingjing

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 14

Abstract: In passive localization techniques, as the scale of the array of the sensors used increases, the source distribution may be a coexistence of near-field (NF) and far-field (FF) sources. Most of the existing algorithms dedicated to the localization of ... ...

Abstract	In passive localization techniques, as the scale of the array of the sensors used increases, the source distribution may be a coexistence of near-field (NF) and far-field (FF) sources. Most of the existing algorithms dedicated to the localization of mixed-field sources are based on a simplified model, which has model errors and cannot make good use of non-circular properties when non-circular signals are present in the sources. In this paper, we present a mixed-field circular and non-circular source localization algorithm based on exact spatial propagation geometry. First, we make an initial estimate of the source parameters using exact spatial geometry relations. The MUSIC algorithm is then used in combination with the non-circular properties of the signal to achieve an accurate estimate. The algorithm does not lose performance due to model mismatch and is able to make good use of the non-circular properties of the sources to improve the estimation accuracy. The simulation results show that the proposed algorithm can effectively distinguish between sources and that the algorithm performs satisfactorily.
Language	English
Publishing date	2023-07-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23146516
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Article ; Online: DropAGG: Robust Graph Neural Networks via Drop Aggregation.

Jiang, Bo / Chen, Yong / Wang, Beibei / Xu, Haiyun / Luo, Bin

Neural networks : the official journal of the International Neural Network Society

2023 Volume 163, Page(s) 65–74

Abstract: Robust learning on graph data is an active research problem in data mining field. Graph Neural Networks (GNNs) have gained great attention in graph data representation and learning tasks. The core of GNNs is the message propagation mechanism across node' ... ...

Abstract	Robust learning on graph data is an active research problem in data mining field. Graph Neural Networks (GNNs) have gained great attention in graph data representation and learning tasks. The core of GNNs is the message propagation mechanism across node's neighbors in GNNs' layer-wise propagation. Existing GNNs generally adopt the deterministic message propagation mechanism which may (1) perform non-robustly w.r.t structural noises and adversarial attacks and (2) lead to over-smoothing issue. To alleviate these issues, this work rethinks dropout techniques in GNNs and proposes a novel random message propagation mechanism, named Drop Aggregation (DropAGG), for GNNs learning. The core of DropAGG is to randomly select a certain rate of nodes to participate in information aggregation. The proposed DropAGG is a general scheme which can incorporate any specific GNN model to enhance its robustness and mitigate the over-smoothing issue. Using DropAGG, we then design a novel Graph Random Aggregation Network (GRANet) for graph data robust learning. Extensive experiments on several benchmark datasets demonstrate the robustness of GRANet and effectiveness of DropAGG to mitigate the issue of over-smoothing.
MeSH term(s)	Learning ; Benchmarking ; Data Mining ; Neural Networks, Computer
Language	English
Publishing date	2023-03-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	740542-x
ISSN	1879-2782 ; 0893-6080
ISSN (online)	1879-2782
ISSN	0893-6080
DOI	10.1016/j.neunet.2023.03.022
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