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Article ; Online: Exploration and Analysis of the Aesthetic Cognitive Schema of Contemporary Western Urban Landscapes

Shan Gao / Songfu Liu

International Journal of Environmental Research and Public Health, Vol 18, Iss 5152, p

2021 Volume 5152

Abstract: The multidimensional iterative composition of urban landscapes and the formation mechanism of the aesthetic perception dimension are elucidated. The cognitive schema theory aims to reveal the intrinsic mechanism of urban landscape aesthetic activities. ... ...

Abstract	The multidimensional iterative composition of urban landscapes and the formation mechanism of the aesthetic perception dimension are elucidated. The cognitive schema theory aims to reveal the intrinsic mechanism of urban landscape aesthetic activities. Using London as an empirical case to explore the representation and structure of urban landscape aesthetic, a cognitive schema, the cognitive map of its urban landscape, was constructed based on the qualitative analysis of the texts derived from travel notes. Eight aspects of urban landscapes, together with 21 representative concepts of cognitive schema closely related to aesthetic perception, indicate the structures and approaches people perceive in urban landscapes. This article provides experience and reference for urban landscape enhancement and related practices in China by studying the contemporary Western urban landscape.
Keywords	urban landscape ; aesthetic perception ; cognitive schema ; qualitative analysis ; Medicine ; R
Subject code	710
Language	English
Publishing date	2021-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study on Dust Turbulence-Chemical Agglomeration for Electrostatic Precipitation Technology

Shan Gao / Li-chun Xiao

E3S Web of Conferences, Vol 245, p

2021 Volume 03011

Abstract: Due to the turbulent mixing between agglomeration agent and dust, the number of collisions per unit time between particles and droplets increases with the particle size in the process of chemical agglomeration, and the agglomeration efficiency increases ... ...

Abstract	Due to the turbulent mixing between agglomeration agent and dust, the number of collisions per unit time between particles and droplets increases with the particle size in the process of chemical agglomeration, and the agglomeration efficiency increases accordingly. Turbulent agglomeration can promote the agglomeration effect of subsequent chemical agglomeration by strengthening the collision between particles and agglomerant droplets. The author used chemical agglomeration and turbulent mixing to cooperate in order to improve the efficiency of dust removal. Turbulent mixing can promote chemical agglomeration from agglomeration effect and dust removal efficiency, which can greatly improve electric dust removal technologyTurbulent mixing is the most intense at the inlet box position, and the agglomeration effect is the best. Turbulent mixing synergistic effect has an effect on dust removal efficiency. Compared with the three curves, it can be seen that the dust removal efficiency increases rapidly with the increase of agglomeration concentration, the curve trend changes obviously. The dust removal efficiency can reach 98.36 % and it is the highest in the middle section when the wind speed is greater than 11.2m/s. Through the experiment, the turbulent mixing and chemical coagulation method has a good application prospect in the electrostatic precipitators.
Keywords	Environmental sciences ; GE1-350
Subject code	500
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 ; Online: Effect of Paternal Body Mass Index on In Vitro Fertilization and Neonatal Outcomes among Oligozoospermia and Asthenospermia Patients

Xudong Zhang / Shanshan Wu / Xiaohan Qi / Shan Gao / Jiarui Qi / Siwen Zhang / Jichun Tan

The World Journal of Men's Health, Vol 42, Iss 1, Pp 216-

2024 Volume 228

Abstract: Purpose: Male overweight and obesity could affect sperm quality and reproductive health. However, the impact of body mass index (BMI) on assisted reproductive technology (ART) outcomes in oligospermia and/or asthenospermia patients is yet lacking. This ... ...

Abstract	Purpose: Male overweight and obesity could affect sperm quality and reproductive health. However, the impact of body mass index (BMI) on assisted reproductive technology (ART) outcomes in oligospermia and/or asthenospermia patients is yet lacking. This study aims to assess the impact of paternal BMI on ART and neonatal outcomes among oligozoospermia and/or asthenospermia patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI). Materials and Methods: In this study, 2,075 couples undergoing their first fresh embryo transfer between January 2015 and June 2022 were recruited. Following the World Health Organization’s (WHO’s) categories, couples were stratified into three cohorts based on paternal BMI: normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30.0 kg/m2). Modified Poisson regression models were used to assess the associations of paternal BMI with fertilization, in vitro embryonic development, and pregnancy outcomes. Logistic regression models were performed to investigate the associations of paternal BMI with pregnancy loss and neonatal outcomes. Furthermore, stratified analyses were performed based on fertilization methods, male infertility cause, and maternal BMI. Results: Higher paternal BMI is associated with a lower likelihood of achieving normal fertilized (p-trend=0.002), Day 3 transferable (p-trend=0.007), and high-quality embryos (p-trend=0.046) in IVF cycles, rather than in ICSI cycles. Paternal BMI of oligospermia or asthenospermia was negatively correlated with day 3 transferable (p-trend=0.013 and 0.030) and highquality embryos (p-trend=0.024 and 0.027). Moreover, for neonatal outcomes, paternal BMI was positively associated with macrosomia (p-trend=0.019), large for gestational age (LGA) (p-trend=0.031), and very LGA (p-trend=0.045). Conclusions: Our data suggested that higher paternal BMI was associated with fetal overgrowth, reduced fertilization, and embryonic development potential. Among males with oligospermia and/or asthenospermia, ...
Keywords	asthenozoospermia ; body mass index ; fertilization in vitro ; fetal macrosomia ; obesity ; oligospermia ; Medicine ; R ; Diseases of the genitourinary system. Urology ; RC870-923
Subject code	610 ; 796
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Korean Society for Sexual Medicine and Andrology
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Passivation remediation of weakly alkaline Cd-contaminated soils using combined treatments of biochar and sepiolite

Yuxin Zhang / Shan Gao / Hongtao Jia / Tao Sun / Shunan Zheng / Shihang Wu / Yuebing Sun

Ecological Processes, Vol 13, Iss 1, Pp 1-

2024 Volume 13

Abstract: Abstract Background Cadmium (Cd) pollution in agricultural soils has become a priority environmental concern globally. A reasonable application of passivators is critical to address the problem. In this study, we examined the remediation effects of rice ... ...

Abstract	Abstract Background Cadmium (Cd) pollution in agricultural soils has become a priority environmental concern globally. A reasonable application of passivators is critical to address the problem. In this study, we examined the remediation effects of rice husk biochar (rBC) and sepiolite (Sep) as single and combined (rBC + Sep) treatments on Cd pollution in a weakly alkaline soil using three maize cultivars (Liyu 16, Zhengdan 958, and Sanbei 218) as test crops. We also explained the mechanisms involved in the remediation effects. Results The pseudo-second-order kinetic equation and Langmuir model could well describe the adsorption process of rBC + Sep for Cd2+. Compared with the control treatment (CK), soil available Cd concentration decreased by 29.51–36.34% under rBC + Sep treatment (p< 0.05) and the Cd concentrations in maize grains of Liyu 16, Zhengdan 958, and Sanbei 218 decreased by 38.08–47.85%, 37.25–45.61%, and 33.96–46.15%, respectively (p< 0.05). Following passivation treatment, soil available Cd concentration decreased and gradually changed from the exchangeable and carbonate binding forms to the Fe/Mn oxide and residual forms. The bioconcentration factors of Liyu 16 (0.05–0.09) and Sanbei 218 (0.05–0.09) were lower than those of Zhengdan 958 (0.07–0.13). In addition, rBC +Sep treatment increased soil pH and soil electrical conductivity, but the differences were not significant (p> 0.05). Conclusions The application of 0.2% rBC + 0.5% Sep composite passivation material to weakly alkaline Cd-contaminated soil can effectively reduce the Cd concentration of soil and maize.
Keywords	Cd ; Rice husk biochar ; Sepiolite ; Passivation restoration ; Weakly alkaline soil ; Maize ; Ecology ; QH540-549.5
Subject code	630
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study on the optimization for emergency evacuation scheme under fire in university building complex

Shan Gao / Chen Chang / Qiang Liu / Mingming Zhang / Fei Yu

Heliyon, Vol 9, Iss 3, Pp e14277- (2023)

2023

Abstract: The evacuation in the university building complex involving a variety of campus buildings and a high density of occupants is barely simulated, especially by considering the safety awareness of evacuees and the impact of measured stair evacuation speed. ... ...

Abstract	The evacuation in the university building complex involving a variety of campus buildings and a high density of occupants is barely simulated, especially by considering the safety awareness of evacuees and the impact of measured stair evacuation speed. This paper simulates and optimizes the fire emergency evacuation scheme of a university building complex in Northwest China by using BIM technology and Pathfinder simulation evacuation software. The proposed evacuation optimization scheme of university building complex reduces the evacuation time by 15–20% compared with the original evacuation scheme of the university. Through the simulation, it is found that the evacuation time required for sleeping at night is the shortest, while the longest evacuation time is required during lunch, due to the dispersion of students. Therefore, in addition to considering the safety awareness of the evacuees and the measured evacuation speed of stairs, the corresponding campus evacuation plan should be formulated according to the distribution of buildings in the campus complex and the actual utilization in different periods, so as to avoid the safety exit congestion and being far away from the refuge, due to the dense population in a specific period of time. This study also provides a method for solving the problem of regional evacuation path planning.
Keywords	Building information model ; Fire accident ; Emergency evacuation ; University building ; Area evacuation ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	690
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Global spatio‐temporal dynamic capturing network‐based traffic flow prediction

Haoran Sun / Yanling Wei / Xueliang Huang / Shan Gao / Yuhang Song

IET Intelligent Transport Systems, Vol 17, Iss 6, Pp 1220-

2023 Volume 1228

Abstract: Abstract Capturing the complex spatio‐temporal relationships of traffic roads is essential to accurately predict traffic flow data. Traditional models typically collect spatial and temporal relationships and increase the complexity of the model by ... ...

Abstract	Abstract Capturing the complex spatio‐temporal relationships of traffic roads is essential to accurately predict traffic flow data. Traditional models typically collect spatial and temporal relationships and increase the complexity of the model by considering connected and unconnected roads. However, global road networks are dynamic and hidden connectivity relationships generally undergo variations over time. A deterministic single‐connection correlation inevitably limits the learning capability of the model. In this paper, the authors propose a global spatio‐temporal dynamic capturing network (GSTDCN) for traffic flow prediction. First, the global encoding module based on the attention mechanism is set up to describe the dynamic spatio‐temporal relationships. It is shown that GSTDCN can learn the hidden node information by spatial correlation at different times. Meanwhile, an effective temporal prediction module is constructed, which facilitates the data augmentation and improves the prediction results of GSTDCN. The model is experimented on four public transportation datasets, and the results show that the GSTDCN outperforms the state‐of‐the‐art baseline.
Keywords	complex networks ; decision making ; management and control ; traffic modelling ; Transportation engineering ; TA1001-1280 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The 100 top-cited articles in the field of Wilson’s disease from 1990 to 2022

Zhenchu Tang / Ziwei Lan / Jing Li / Hedong Zhang / Shan Gao

Heliyon, Vol 9, Iss 7, Pp e17785- (2023)

A bibliometric study

2023

Abstract: Objectives: To characterize the 100 most-cited articles in the field of Wilson’s Disease (WD) to provide a general overview and reveal the historical developments classical studies, and new findings. Design: WD-related articles were searched on the Web ... ...

Abstract	Objectives: To characterize the 100 most-cited articles in the field of Wilson’s Disease (WD) to provide a general overview and reveal the historical developments classical studies, and new findings. Design: WD-related articles were searched on the Web of Science database. The 100 most-cited articles were retrieved and their descriptive statistics were analyzed. Data extraction and synthesis: The 100 most-cited articles in the field of WD were selected and several parameters, including citation count, citation density, first author, corresponding author, journal, country, institution, and keywords were extracted to assess the overall quality and impact of the articles. Results: Most of the selected 100 articles were published in the 1990s and 2000s, with the highest number of articles published in 2005. Citations per paper ranged from 100 to 1,631, with a mean number of citations of 199.03. The top 100 articles were published in 38 journals, and the majority were published in the Journal of Biological Chemistry. The most prominent research themes were clinical presentations, clinical trials, copper transport mechanisms, and dysregulation of copper metabolism. Prof. Svetlana Lutsenko, Prof. Peter Ferenci, Prof. George J. Brewer, and Prof. Diane W. Cox were among the most influential researchers in this field, while Euro-American countries were the most dominant in terms of research output. Keywords network analysis identified ''Transporting ATPase,'' ''ATP7B,'' and “Menkes disease” as the most influential keywords. Moreover, disease management, WD clinical phenotype, ATP7B function, and copper metabolism are potential hotspots in future WD research. Conclusions: This study reveals the most influential articles in the field of WD research. In addition, the major research themes and technological innovations in the field of WD worldwide are presented.
Keywords	Wilson’s disease ; Bibliometric study ; Citation analysis ; Web of science ; VOSviewer ; Citespace ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	001
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SSR Marker-Based Genetic Resource Assessment of the Rainbow Clam Moerella iridescens Along the Coasts of China

Xiaoying Li / Shan Gao / Manman Zhao / Zhiguo Dong

Frontiers in Marine Science, Vol

Implications for Strategy of Conservation Management

2022 Volume 9

Abstract: This study aims to determine the genetic structure of rainbow clam Moerella iridescens in different sea areas of China. Seventeen pairs of microsatellite primers (SSR) were used to amplify the SSRs of rainbow clam in Lianyungang of Haizhou Bay, Chongming ...

Abstract	This study aims to determine the genetic structure of rainbow clam Moerella iridescens in different sea areas of China. Seventeen pairs of microsatellite primers (SSR) were used to amplify the SSRs of rainbow clam in Lianyungang of Haizhou Bay, Chongming of Shanghai, Ningde of Fujian, Daishan of Zhoushan, and Cixi and Wenzhou of Zhejiang. A total of 1,146 alleles were detected in 310 individuals from the 17 SSR loci. The average observed heterozygosity of six populations was 0.4381−0.6139, the average expected heterozygosity was 0.5897−0.7325, and the average Shannon diversity index was 1.2655−1.7998. The clams exhibited rich genetic diversity, and the FST of the genetic differentiation index of the six populations was 0.0470, indicating low genetic differentiation among the populations. The results indicated that rainbow clams along the coasts of China exhibited high diversity and low population differentiation.
Keywords	Moerella iridescens ; SSR ; genetic diversity ; China coasts ; conservation management ; Science ; Q ; General. Including nature conservation ; geographical distribution ; QH1-199.5
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Temperature prediction and analysis based on improved GA-BP neural network

Ling Zhang / Xiaoqi Sun / Shan Gao

AIMS Environmental Science, Vol 9, Iss 5, Pp 735-

2022 Volume 753

Abstract: In order to predict the temperature change of Laoshan scenic area in Qingdao more accurately, a new back propagation neural network (BPNN) prediction model is proposed in this study. Temperature change affects our lives in various ways. The challenge ... ...

Abstract	In order to predict the temperature change of Laoshan scenic area in Qingdao more accurately, a new back propagation neural network (BPNN) prediction model is proposed in this study. Temperature change affects our lives in various ways. The challenge that neural networks tend to fall into local optima needs to be addressed to increase the accuracy of temperature prediction. In this research, we used an improved genetic algorithm (GA) to optimize the weights and thresholds of BPNN to solve this problem. The prediction results of BPNN and GA-BPNN were compared, and the prediction results showed that the prediction performance of GA-BPNN was much better. Furthermore, a screening test experiment was conducted using GA-BPNN for multiple classes of meteorological parameters, and a smaller number of parameter sets were identified to simplify the prediction inputs. The values of running time, root mean square error, and mean absolute error of GA-BPNN are better than those of BPNN through the calculation and analysis of evaluation metrics. This study will contribute to a certain extent to improve the accuracy and efficiency of temperature prediction in the Laoshan landscape.
Keywords	temperature prediction ; genetic algorithm ; bp neural network ; neural network optimization ; Environmental sciences ; GE1-350
Subject code	006
Language	English
Publishing date	2022-10-01T00:00:00Z
Publisher	AIMS Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: FSCC

Shan Gao / Xiangrui Zeng / Min Xu / Fa Zhang

Frontiers in Molecular Biosciences, Vol

Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron Tomography

2022 Volume 9

Abstract: Cryo-electron tomography (Cryo-ET) is an emerging technology for three-dimensional (3D) visualization of macromolecular structures in the near-native state. To recover structures of macromolecules, millions of diverse macromolecules captured in tomograms ...

Abstract	Cryo-electron tomography (Cryo-ET) is an emerging technology for three-dimensional (3D) visualization of macromolecular structures in the near-native state. To recover structures of macromolecules, millions of diverse macromolecules captured in tomograms should be accurately classified into structurally homogeneous subsets. Although existing supervised deep learning–based methods have improved classification accuracy, such trained models have limited ability to classify novel macromolecules that are unseen in the training stage. To adapt the trained model to the macromolecule classification of a novel class, massive labeled macromolecules of the novel class are needed. However, data labeling is very time-consuming and labor-intensive. In this work, we propose a novel few-shot learning method for the classification of novel macromolecules (named FSCC). A two-stage training strategy is designed in FSCC to enhance the generalization ability of the model to novel macromolecules. First, FSCC uses contrastive learning to pre-train the model on a sufficient number of labeled macromolecules. Second, FSCC uses distribution calibration to re-train the classifier, enabling the model to classify macromolecules of novel classes (unseen class in the pre-training). Distribution calibration transfers learned knowledge in the pre-training stage to novel macromolecules with limited labeled macromolecules of novel class. Experiments were performed on both synthetic and real datasets. On the synthetic datasets, compared with the state-of-the-art (SOTA) method based on supervised deep learning, FSCC achieves competitive performance. To achieve such performance, FSCC only needs five labeled macromolecules per novel class. However, the SOTA method needs 1100 ∼ 1500 labeled macromolecules per novel class. On the real datasets, FSCC improves the accuracy by 5% ∼ 16% when compared to the baseline model. These demonstrate good generalization ability of contrastive learning and calibration distribution to classify novel macromolecules with ...
Keywords	few-shot learning ; cryo-ET ; macromolecule classification ; contrastive learning ; distribution calibration ; Biology (General) ; QH301-705.5
Subject code	006
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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