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Article ; Online: Seizure classification with selected frequency bands and EEG montages

Ziwei Wang / Paolo Mengoni

Brain Informatics, Vol 9, Iss 1, Pp 1-

a Natural Language Processing approach

2022 Volume 31

Abstract: Abstract Individualized treatment is crucial for epileptic patients with different types of seizures. The differences among patients impact the drug choice as well as the surgery procedure. With the advance in machine learning, automatic seizure ... ...

Abstract	Abstract Individualized treatment is crucial for epileptic patients with different types of seizures. The differences among patients impact the drug choice as well as the surgery procedure. With the advance in machine learning, automatic seizure detection can ease the manual time-consuming and labor-intensive procedure for diagnose seizure in the clinical setting. In this paper, we present an electroencephalography (EEG) frequency bands (sub-bands) and montages selection (sub-zones) method for classifier training that exploits Natural Language Processing from individual patients’ clinical report. The proposed approach is targeting for individualized treatment. We integrated the prior knowledge from patient’s reports into the classifier-building process, mimicking the authentic thinking process of experienced neurologist’s when diagnosing seizure using EEG. The keywords from clinical documents are mapped to the EEG data in terms of frequency bands and scalp EEG electrodes. The data of experiments are from the Temple University Hospital EEG seizure corpus, and the dataset is divided based on each group of patients with same seizure type and same recording electrode references. The classifier includes Random Forest, Support Vector Machine and Multi-Layer Perceptron. The classification performance indicates that competitive results can be achieve with a small portion of EEG the data. Using the sub-zones selection for Generalized Seizures (GNSZ) on all three electrodes, data are reduced by nearly 50% while the performance metrics remain at the same level with the whole frequency and zones. Moreover, when selecting by sub-zones and sub-bands together for GNSZ with Linked Ears reference, the data range reduced to 0.3% of whole range, and the performance deviates less than 3% from the results with whole range of data. Results show that using proposed approach may lead to more efficient implementations of the seizure classifier to be executed on power-efficient devices for long lasting real-time seizures detection.
Keywords	Seizure ; Electroencephalography ; Frequency bands selection ; Natural Language Processing ; Classification ; Epileptic seizure ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Computer software ; QA76.75-76.765
Subject code	616 ; 006
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning

Ziwei Wang / Guangkai Sun / Kangpeng Zhou / Lianqing Zhu

Heliyon, Vol 9, Iss 4, Pp e14784- (2023)

2023

Abstract: Unmanned Aerial Vehicle (UAV) path planning is to plan an optimal path for its flight in a specific environment. But it cannot get satisfactory results using ordinary algorithms. To solve this problem, a hybrid algorithm is proposed named as PESSA, where ...

Abstract	Unmanned Aerial Vehicle (UAV) path planning is to plan an optimal path for its flight in a specific environment. But it cannot get satisfactory results using ordinary algorithms. To solve this problem, a hybrid algorithm is proposed named as PESSA, where particle swarm optimization (PSO) and an enhanced sparrow search algorithm (ESSA) work in parallel. In the ESSA, the random jump of the producer’s position is strengthened to guarantee the global search ability. Each scrounger keeps learning from the vintage experience of the producers. For the best-positioned sparrow, when it perceives the threat, the difference between the best individual and the worst individual will be imposed to speed up the search process. The elite reverse search strategy was added to yields the optimum diversity. In this paper, the performance of the PESSA algorithm is verified by 10 basic functions, and it can find the optimal value on the 7 test functions. Compared with the other 12 algorithms, PESSA’s average value always ranks first. Finally, the proposed PESSA is applied in 4 different scenarios including two groups of 2D environments and two groups of 3D environments. In 2D environments, the average optimization results can reach 0.0165 and 0.0521 in two cases respectively. In 3D environments, the average optimization results can reach 0.6635 and 0.5349 in two cases respectively. The results show that the PESSA algorithm can acquire more feasible and effective route than compared algorithms.
Keywords	Enhanced sparrow search algorithm ; Particle swarm optimization ; Path planning ; Unmanned aerial vehicle ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	629
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Assessing the impacts of rural residential land and cropland transition on agricultural production in Northeast China

Hongyan Cai / Ziwei Wang / Guoming Du / Dingxiang Zhang

Food and Energy Security, Vol 12, Iss 4, Pp n/a-n/a (2023)

2023

Abstract: Abstract Transitions between cropland and rural residential land (RRL) significantly impact both the amount of cropland and the yields obtained, whereas these impacts were overlooked in the previous studies. Taking accumulated Normalized Difference ... ...

Abstract	Abstract Transitions between cropland and rural residential land (RRL) significantly impact both the amount of cropland and the yields obtained, whereas these impacts were overlooked in the previous studies. Taking accumulated Normalized Difference Vegetation Index during the growing season as a surrogate of productivity, this study assessed the impacts of RRL expansion and reclamation on agricultural production between 2009 and 2018 in Northeast China (NEC), a region contributing one‐fifth of the nation's total grain yield. Especially, the productivity gap between the RRL‐reclaimed and traditional cropland was explored and discussed. From 2009 to 2018, the NEC has experienced an intense expansion and reclamation in RRL, resulting in approximately 6.66 × 104 ha of cropland disappearing and 1.32 × 104 ha supplemented. Transitions in land use between RRL and cropland decreased the regional crop production by 0.08%, with the percentage slightly lower than that of cropland that was lost (0.09%). This was mainly attributed to the productivity gap between the reclaimed and occupied cropland from/to RRL, with the former higher than the latter. Even so, the cropland reclaimed from RRL was less productive than traditional cropland in three provinces in NEC, ranging from 1.6% to 3.9%. This productivity gap varied by crop type and province. After discussing the productivity limitations, suggestions for future land use policy in rural China have been put forward.
Keywords	agricultural productivity ; China ; food security ; productivity gap ; rural residential land ; Agriculture ; S ; Agriculture (General) ; S1-972
Subject code	950
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Collaborative Trajectory Planning and Resource Allocation for Multi-Target Tracking in Airborne Radar Networks under Spectral Coexistence

Chenguang Shi / Jing Dong / Sana Salous / Ziwei Wang / Jianjiang Zhou

Remote Sensing, Vol 15, Iss 3386, p

2023 Volume 3386

Abstract: This paper develops a collaborative trajectory planning and resource allocation (CTPRA) strategy for multi-target tracking (MTT) in a spectral coexistence environment utilizing airborne radar networks. The key mechanism of the proposed strategy is to ... ...

Abstract	This paper develops a collaborative trajectory planning and resource allocation (CTPRA) strategy for multi-target tracking (MTT) in a spectral coexistence environment utilizing airborne radar networks. The key mechanism of the proposed strategy is to jointly design the flight trajectory and optimize the radar assignment, transmit power, dwell time, and signal effective bandwidth allocation of multiple airborne radars, aiming to enhance the MTT performance under the constraints of the tolerable threshold of interference energy, platform kinematic limitations, and given illumination resource budgets. The closed-form expression for the Bayesian Cramér–Rao lower bound (BCRLB) under the consideration of spectral coexistence is calculated and adopted as the optimization criterion of the CTPRA strategy. It is shown that the formulated CTPRA problem is a mixed-integer programming, non-linear, non-convex optimization model owing to its highly coupled Boolean and continuous parameters. By incorporating semi-definite programming (SDP), particle swarm optimization (PSO), and the cyclic minimization technique, an iterative four-stage solution methodology is proposed to tackle the formulated optimization problem efficiently. The numerical results validate the effectiveness and the MTT performance improvement of the proposed CTPRA strategy in comparison with other benchmarks.
Keywords	collaborative trajectory planning and resource allocation (CTPRA) ; multi-target tracking (MTT) ; airborne radar networks ; Bayesian Cramér–Rao lower bound (BCRLB) ; spectral coexistence ; Science ; Q
Subject code	670
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Injurious information propagation and its global stability considering activity and normalized recovering rate.

Chaoqian Wang / Ziwei Wang / Qiuhui Pan

PLoS ONE, Vol 16, Iss 10, p e

2021 Volume 0258859

Abstract: This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information's injuriousness as the people practicing the information being injured and leaving the system. Some ... ...

Abstract	This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information's injuriousness as the people practicing the information being injured and leaving the system. Some informed people practice the information and are active, while others do not practice and are inactive. With the recovery resources fixed, the two groups of informed people's recovering rates are normalized considering the information features. The stability of the nonlinear system is thoroughly studied. Analyzing the reproduction number of the injurious information, we find that in general parameter space, when there are people in an informed compartment, it is not always necessary to consider their recovery resource allocation. Instead, only when their proportion reaches a critical point should it be allocated. Unless the people in an informed compartment form a certain proportion, we can take a laissez-faire attitude towards them. In a more realistic parameter space, once inactive informed people exist, they should be allocated recovery resources. On the one hand, when the recovering rate rises, the focus on both groups of informed people is necessary for more situations. On the other hand, when the rate of active informed people leaving the system rises, ignoring active informed people benefits removing the injurious information in more cases. The model provides qualitative ways in the scenarios of removing injurious information.
Keywords	Medicine ; R ; Science ; Q
Subject code	306
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Injurious information propagation and its global stability considering activity and normalized recovering rate

Chaoqian Wang / Ziwei Wang / Qiuhui Pan

PLoS ONE, Vol 16, Iss

2021 Volume 10

Abstract: This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information’s injuriousness as the people practicing the information being injured and leaving the system. Some ... ...

Abstract	This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information’s injuriousness as the people practicing the information being injured and leaving the system. Some informed people practice the information and are active, while others do not practice and are inactive. With the recovery resources fixed, the two groups of informed people’s recovering rates are normalized considering the information features. The stability of the nonlinear system is thoroughly studied. Analyzing the reproduction number of the injurious information, we find that in general parameter space, when there are people in an informed compartment, it is not always necessary to consider their recovery resource allocation. Instead, only when their proportion reaches a critical point should it be allocated. Unless the people in an informed compartment form a certain proportion, we can take a laissez-faire attitude towards them. In a more realistic parameter space, once inactive informed people exist, they should be allocated recovery resources. On the one hand, when the recovering rate rises, the focus on both groups of informed people is necessary for more situations. On the other hand, when the rate of active informed people leaving the system rises, ignoring active informed people benefits removing the injurious information in more cases. The model provides qualitative ways in the scenarios of removing injurious information.
Keywords	Medicine ; R ; Science ; Q
Subject code	306
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Trends in forensic microbiology

Huiya Yuan / Ziwei Wang / Zhi Wang / Fuyuan Zhang / Dawei Guan / Rui Zhao

Frontiers in Microbiology, Vol

From classical methods to deep learning

2023 Volume 14

Abstract: Forensic microbiology has been widely used in the diagnosis of causes and manner of death, identification of individuals, detection of crime locations, and estimation of postmortem interval. However, the traditional method, microbial culture, has low ... ...

Abstract	Forensic microbiology has been widely used in the diagnosis of causes and manner of death, identification of individuals, detection of crime locations, and estimation of postmortem interval. However, the traditional method, microbial culture, has low efficiency, high consumption, and a low degree of quantitative analysis. With the development of high-throughput sequencing technology, advanced bioinformatics, and fast-evolving artificial intelligence, numerous machine learning models, such as RF, SVM, ANN, DNN, regression, PLS, ANOSIM, and ANOVA, have been established with the advancement of the microbiome and metagenomic studies. Recently, deep learning models, including the convolutional neural network (CNN) model and CNN-derived models, improve the accuracy of forensic prognosis using object detection techniques in microorganism image analysis. This review summarizes the application and development of forensic microbiology, as well as the research progress of machine learning (ML) and deep learning (DL) based on microbial genome sequencing and microbial images, and provided a future outlook on forensic microbiology.
Keywords	forensic microbiology ; forensic medicine ; machine learning ; deep learning ; artificial intelligence ; Microbiology ; QR1-502
Subject code	006
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Research on the Regional Environmental Impact and Risk Assessment Affected by Mineral Resource Development

Hongying Cao / Ziwei Wang / Xiaoyong Liao / You Li / Yongbing Zhu

Frontiers in Ecology and Evolution, Vol

A Case Study of the Taojia River Watershed in Hunan

2022 Volume 10

Abstract: The mining and production of mineral resources can directly lead to soil and water pollution, posing a serious threat to human health. In this study, the Taojia River basin, a tributary of the Xiangjiang River, was selected as the study area. Based on ... ...

Abstract	The mining and production of mineral resources can directly lead to soil and water pollution, posing a serious threat to human health. In this study, the Taojia River basin, a tributary of the Xiangjiang River, was selected as the study area. Based on the concentrations of heavy metals (As, Cd, Pb, and Zn) in 653 soil/substrate samples collected from 342 points in the study area in 2013 and 2021, the changes in soil heavy metal concentrations in the region were systematically analyzed to assess their environmental risks and impacts on regional environmental quality. The results showed that from 2013 to 2021, the As, Pb, and Zn pollution in regional soil, tailing sand, and surface water was reduced, while the Cd pollution increased. The average soil As, Pb, and Zn concentrations decreased from 3,750, 2,340, and 1,180 mg/kg to 457, 373, and 387mg/kg, respectively, while the Cd concentration increased from 0.11to 1.91 mg/kg; additionally, the overall distribution trend of heavy metal concentrations was high in the south, low in the north, and gradually decreased from upstream to downstream. The single evaluation index of heavy metal pollution risk showed that the percentages of medium to heavy pollution points in the soil As, Pb, and Zn were 84, 57, and 28%, respectively, in 2013, and this index decreased to 38, 37, and 25%, respectively, in 2021. The regional environmental quality was closely related to the intensity of mineral resource development. From 2000 to 2010, frequent mining development activities led to an increase in the area of construction land and a continuous decrease in the area of arable land, grassland, and vegetation cover in the region. During 2010–2020, the area of construction land decreased, and the vegetation coverage increased. The comprehensive evaluation index showed that the overall soil pollution risk in the watershed decreased, and the proportion of heavily polluted points decreased from 80 to 65%. It was shown by principal component analysis and factor analysis that mining ...
Keywords	mineral resource development ; heavy metals ; environmental quality ; risk assessment ; source analysis ; Evolution ; QH359-425 ; Ecology ; QH540-549.5
Subject code	910 ; 333
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Research on the Realization Path of Railway Intelligent Construction Based on System Engineering

You Wang / Ziwei Wang / Tingting Ma / Guowei Li / Huixia Tie

Sustainability, Vol 14, Iss 6945, p

2022 Volume 6945

Abstract: The implementation of railway intelligent construction is the need of national strategic development and the demand of society. Based on the idea of system engineering, this paper proposes a three-dimensional railway intelligent construction system ... ...

Abstract	The implementation of railway intelligent construction is the need of national strategic development and the demand of society. Based on the idea of system engineering, this paper proposes a three-dimensional railway intelligent construction system architecture composed of a full life cycle, management level and technical support. Based on this architecture, a “three-step” implementation path is proposed. Then, it analyzes the technology support framework required in the architecture based on Building Information Modeling (BIM), incorporating Global Positioning System (GPS) and Geographic Information System (GIS), algorithmic prediction and machine learning technology, Internet of Things (IoT) and artificial intelligence technology, big data and cloud computing technology, and the application of railway intelligent construction system architecture is analyzed by taking a railway tunnel project in Zhejiang Province of China as an example. Finally, it discusses the problems that may be encountered in the implementation of railway intelligent construction and puts forward relevant suggestions. The results show that railway intelligent construction is an essential way. At present, China’s railway intelligent construction is still in the primary stage. The design organization should do a good job in the top-level design and accumulate sufficient data for the later stage. All parties in the middle stage of construction should do a good job in the induction and integration of information and accumulate sufficient experience. In this way, we can integrate into the advanced stage and give full play to the advantages of software and hardware integrated applications such as BIM, IoT, big data, cloud computing and intelligent devices so as to truly realize the intellectualization and modernization of railway construction.
Keywords	railway engineering ; intelligent construction ; BIM ; big data ; Internet of Things ; cloud computing ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	690
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Upregulation of ZHX2 predicts poor prognosis and is correlated with immune infiltration in gastric cancer

Anqi Cheng / Xiong Guo / Xinglong Dai / Ziwei Wang

FEBS Open Bio, Vol 11, Iss 6, Pp 1785-

2021 Volume 1798

Abstract: The transcriptional repressor zinc finger homeobox 2 (ZHX2) is reported to regulate tumor progression in several human cancers, although little is known about its role in gastric cancer (GC). In the present study, we investigated the expression of ZHX2 ... ...

Abstract	The transcriptional repressor zinc finger homeobox 2 (ZHX2) is reported to regulate tumor progression in several human cancers, although little is known about its role in gastric cancer (GC). In the present study, we investigated the expression of ZHX2 and its relationship with the clinicopathological characteristics and prognosis of GC patients, and we also examined the effect of ZHX2 overexpression in GC cell lines. We used UALCAN (http://ualcan.path.uab.edu) and the Tumor Immune Estimation Resource (http://cistrome.org/TIMER) to examine ZHX2 mRNA expression, and also used Kaplan–Meier Plotter (https://kmplot.com) to determine whether ZHX2 expression was related to GC prognosis. Expression of ZHX2 protein was detected using immunohistochemical staining assays. Cell proliferation was evaluated using a cell counting kit‐8 and colony formation assays, whereas apoptosis was examined by flow cytometry. Wound healing and transwell assays were used to detect cell migration and invasion. We also performed Gene Set Enrichment Analysis (https://www.gsea‐msigdb.org) and used The Cancer Genome Atlas database (https://www.genome.gov/Funded‐Programs‐Projects/Cancer‐Genome‐Atlas) to examine the correlation of ZHX2 with immune infiltration. We report that ZHX2 is highly expressed in GC tissues and is significantly associated with clinical characteristics. Upregulation of ZHX2 predicted poor prognosis in GC. Furthermore, ZHX2 overexpression can promote the proliferation, invasion and migration, but inhibit apoptosis, of GC cells. High expression of ZHX2 in GC is correlated with the presence of infiltrating immune cells, including B cells, CD4+ T cells, macrophages and dendritic cells. Our data suggest that high expression of ZHX2 in GC predicts poor prognosis. In addition, ZHX2 may promote malignant behaviors of GC cells, and immune infiltration might be related to the oncogenic role of ZHX2 in GC.
Keywords	gastric cancer ; immune infiltration ; prognosis ; ZHX2 ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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