LIVIVO - Search results -

Search results

Result 1 - 10 of total 50

Search options

Article ; Online: Where does the Chinese Sexual Shame Come From?

Gao Ziqi

SHS Web of Conferences, Vol 159, p

2023 Volume 02001

Abstract: Sexual shame is the sense of shame that people feel when they mention or think about sex. Based on the existing research on sexual shame, this paper will discuss where the sexual shame of Chinese people comes from and analyze how to reduce the sexual ... ...

Abstract	Sexual shame is the sense of shame that people feel when they mention or think about sex. Based on the existing research on sexual shame, this paper will discuss where the sexual shame of Chinese people comes from and analyze how to reduce the sexual shame of Chinese people.
Keywords	Social Sciences ; H
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)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: The influence of depth on object selection and manipulation in visual working memory within a 3D context.

Qian, Jiehui / Fu, Bingxue / Gao, Ziqi / Tan, Bowen

Psychonomic bulletin & review

2024

Abstract: Recent studies have examined whether the internal selection mechanism functions similarly for perception and visual working memory (VWM). However, the process of how we access and manipulate object representations distributed in a 3D space remains ... ...

Abstract	Recent studies have examined whether the internal selection mechanism functions similarly for perception and visual working memory (VWM). However, the process of how we access and manipulate object representations distributed in a 3D space remains unclear. In this study, we utilized a memory search task to investigate the effect of depth on object selection and manipulation within VWM. The memory display consisted of colored items half positioned at the near depth plane and the other half at the far plane. During memory maintenance, the participants were instructed to search for a target representation and update its color. The results showed that under object-based attention (Experiments 1, 3, and 5), the update time was faster for targets at the near plane than for those at the far plane. This effect was absent in VWM when deploying spatial attention (Experiment 2) and in visual search regardless of the type of attention deployed (Experiment 4). The differential effects of depth on spatial and object-based attention in VWM suggest that spatial attention primarily relied on 2D location information irrespective of depth, whereas object-based attention seemed to prioritize memory representations at the front plane before shifting to the back. Our findings shed light on the interaction between depth perception and the selection mechanisms within VWM in a 3D context, emphasizing the importance of ordinal, rather than metric, spatial information in guiding object-based attention in VWM.
Language	English
Publishing date	2024-03-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	2031311-1
ISSN	1531-5320 ; 1069-9384
ISSN (online)	1531-5320
ISSN	1069-9384
DOI	10.3758/s13423-024-02492-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Article ; Online: Machine learning with spatial interpolation techniques for constructing 2-dimensional ozone concentrations in Southern California during the COVID-19 shutdown.

Do, Khanh / Yeganeh, Arash Kashfi / Gao, Ziqi / Ivey, Cesunica E

Environmental pollution (Barking, Essex : 1987)

2023 , Page(s) 121881

Abstract: In this study, we combine machine learning and geospatial interpolations to create a two-dimensional high-resolution ozone concentration fields over the South Coast Air Basin for the entire year of 2020. Three spatial interpolation methods (bicubic, IDW, ...

Abstract	In this study, we combine machine learning and geospatial interpolations to create a two-dimensional high-resolution ozone concentration fields over the South Coast Air Basin for the entire year of 2020. Three spatial interpolation methods (bicubic, IDW, and ordinary kriging) were employed. The predicted ozone concentration fields were constructed using 15 building sites, and random forest regression was employed to test predictability of 2020 data based on input data from past years. Spatially interpolated ozone concentrations were evaluated at twelve sites that were independent of the actual spatial interpolations to find the most suitable method for SoCAB. Ordinary kriging interpolation had the best performance overall for 2020: concentrations were overestimated for Anaheim, Compton, LA North Main Street, LAX, Rubidoux, and San Gabriel sites and underestimated for Banning, Glendora, Lake Elsinore, and Mira Loma sites. The model performance improved from the West to the East, exhibiting better predictions for inland sites. The model is best at interpolating ozone concentrations inside the sampling region (bounded by the building sites), with R
Language	English
Publishing date	2023-05-23
Publishing country	England
Document type	Journal Article
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2023.121881
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 2599: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Machine learning with spatial interpolation techniques for constructing 2-dimensional ozone concentrations in Southern California during the COVID-19 shutdown

Do, Khanh / Yeganeh, Arash Kashfi / Gao, Ziqi / Ivey, Cesunica E.

Environmental Pollution. 2023 May 23, p.121881-

2023 , Page(s) 121881–

Abstract	In this study, we combine machine learning and geospatial interpolations to create a two-dimensional high-resolution ozone concentration fields over the South Coast Air Basin for the entire year of 2020. Three spatial interpolation methods (bicubic, IDW, and ordinary kriging) were employed. The predicted ozone concentration fields were constructed using 15 building sites, and random forest regression was employed to test predictability of 2020 data based on input data from past years. Spatially interpolated ozone concentrations were evaluated at twelve sites that were independent of the actual spatial interpolations to find the most suitable method for SoCAB. Ordinary kriging interpolation had the best performance overall for 2020: concentrations were overestimated for Anaheim, Compton, LA North Main Street, LAX, Rubidoux, and San Gabriel sites and underestimated for Banning, Glendora, Lake Elsinore, and Mira Loma sites. The model performance improved from the West to the East, exhibiting better predictions for inland sites. The model is best at interpolating ozone concentrations inside the sampling region (bounded by the building sites), with R² ranging from 0.56 to 0.85 for those sites, as prediction deficiencies occurred at the periphery of the sampling region, with the lowest R² of 0.39 for Winchester. All the interpolation methods poorly predicted and underestimated ozone concentrations in Crestline during summer (up to 19 ppb). Poor performance for Crestline indicates that the site has a distribution air pollution levels independent from all other sites. Therefore, historical data from coastal and inland sites should not be used to predict ozone in Crestline using data-driven spatial interpolation approaches. The study demonstrates the utility of machine learning and geospatial techniques for evaluating air pollution levels during anomalous periods.
Keywords	COVID-19 infection ; air ; air pollution ; algorithms ; basins ; coasts ; kriging ; lakes ; model validation ; models ; ozone ; prediction ; summer ; California ; Machine learning ; COVID-19 ; Modeling ; Southern California
Language	English
Dates of publication	2023-0523
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2023.121881
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 4136: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Multifunctional Metal-Phenolic Composites Promote Efficient Periodontitis Treatment via Antibacterial and Osteogenic Properties.

Mei, Hongxiang / Liu, Hai / Sha, Chuanlu / Lv, Qinyi / Song, Qiantao / Jiang, Linli / Tian, Erkang / Gao, Ziqi / Li, Juan / Zhou, Jiajing

ACS applied materials & interfaces

2024 Volume 16, Issue 11, Page(s) 13573–13584

Abstract: Periodontitis, a complex inflammatory disease initiated by bacterial infections, presents a significant challenge in public health. The increased levels of reactive oxygen species and the subsequent exaggerated immune response associated with ... ...

Abstract	Periodontitis, a complex inflammatory disease initiated by bacterial infections, presents a significant challenge in public health. The increased levels of reactive oxygen species and the subsequent exaggerated immune response associated with periodontitis often lead to alveolar bone resorption and tooth loss. Herein, we develop multifunctional metal-phenolic composites (i.e., Au@MPN-BMP2) to address the complex nature of periodontitis, where gold nanoparticles (AuNPs) are coated by metal-phenolic networks (MPNs) and bone morphogenetic protein 2 (BMP2). In this design, MPNs exhibit remarkable antibacterial and antioxidant properties, and AuNPs and BMP2 promote osteogenic differentiation of bone marrow mesenchymal stem cells under inflammatory conditions. In a rat model of periodontitis, treatment with Au@MPN-BMP2 leads to notable therapeutic outcomes, including mitigated oxidative stress, reduced progression of inflammation, and the significant prevention of inflammatory bone loss. These results highlight the multifunctionality of Au@MPN-BMP2 nanoparticles as a promising therapeutic approach for periodontitis, addressing both microbial causative factors and an overactivated immune response. We envision that the rational design of metal-phenolic composites will provide versatile nanoplatforms for tissue regeneration and potential clinical applications.
MeSH term(s)	Rats ; Animals ; Osteogenesis ; Gold/pharmacology ; Metal Nanoparticles/therapeutic use ; Periodontitis/drug therapy ; Anti-Bacterial Agents/pharmacology ; Cell Differentiation
Chemical Substances	Gold (7440-57-5) ; Anti-Bacterial Agents
Language	English
Publishing date	2024-03-05
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.3c19621
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Emissions and meteorological impacts on PM

Gao, Ziqi / Ivey, Cesunica E / Blanchard, Charles L / Do, Khanh / Lee, Sang-Mi / Russell, Armistead G

The Science of the total environment

2023 Volume 891, Page(s) 164464

Abstract: The chemical composition of ... ...

Abstract	The chemical composition of PM
Language	English
Publishing date	2023-05-27
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2023.164464
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 949: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Emissions, meteorological and climate impacts on PM

Gao, Ziqi / Ivey, Cesunica E / Blanchard, Charles L / Do, Khanh / Lee, Sang-Mi / Russell, Armistead G

Chemosphere

2023 Volume 325, Page(s) 138385

Abstract: Annual fine particulate matter ( ... ...

Abstract	Annual fine particulate matter (PM
MeSH term(s)	Air Pollutants/analysis ; Air Pollution/analysis ; Particulate Matter/analysis ; Nitrates ; California ; Environmental Monitoring/methods
Chemical Substances	Air Pollutants ; Particulate Matter ; Nitrates
Language	English
Publishing date	2023-03-13
Publishing country	England
Document type	Journal Article
ZDB-ID	120089-6
ISSN	1879-1298 ; 0045-6535 ; 0366-7111
ISSN (online)	1879-1298
ISSN	0045-6535 ; 0366-7111
DOI	10.1016/j.chemosphere.2023.138385
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 2540: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Microneedle-Mediated Cell Therapy.

Gao, Ziqi / Sheng, Tao / Zhang, Wentao / Feng, Huiheng / Yu, Jicheng / Gu, Zhen / Zhang, Yuqi

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

2023 Volume 11, Issue 8, Page(s) e2304124

Abstract: Microneedles have emerged as a promising platform for transdermal drug delivery with prominent advantages, such as enhanced permeability, mitigated pain, and improved patient adherence. While microneedles have primarily been employed for delivering small ...

Abstract	Microneedles have emerged as a promising platform for transdermal drug delivery with prominent advantages, such as enhanced permeability, mitigated pain, and improved patient adherence. While microneedles have primarily been employed for delivering small molecules, nucleic acids, peptides, and proteins, recent researches have demonstrated their prospect in combination with cell therapy. Cell therapy involving administration or transplantation of living cells (e.g. T cells, stem cells, and pancreatic cells) has gained significant attention in preclinical and clinical applications for various disease treatments. However, the effectiveness of systemic cell delivery may be restricted in localized conditions like solid tumors and skin disorders due to limited penetration and accumulation into the lesions. In this perspective, an overview of recent advances in microneedle-assisted cell delivery for immunotherapy, tissue regeneration, and hormone modulation, with respect to their mechanical property, cell loading capacity, as well as viability and bioactivity of the loaded cells is provided. Potential challenges and future perspectives with microneedle-mediated cell therapy are also discussed.
MeSH term(s)	Humans ; Administration, Cutaneous ; Drug Delivery Systems/methods ; Microinjections/methods ; Needles ; Proteins
Chemical Substances	Proteins
Language	English
Publishing date	2023-10-30
Publishing country	Germany
Document type	Journal Article ; Review
ZDB-ID	2808093-2
ISSN	2198-3844 ; 2198-3844
ISSN (online)	2198-3844
ISSN	2198-3844
DOI	10.1002/advs.202304124
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Book ; Online: GADBench

Tang, Jianheng / Hua, Fengrui / Gao, Ziqi / Zhao, Peilin / Li, Jia

Revisiting and Benchmarking Supervised Graph Anomaly Detection

2023

Abstract: With a long history of traditional Graph Anomaly Detection (GAD) algorithms and recently popular Graph Neural Networks (GNNs), it is still not clear (1) how they perform under a standard comprehensive setting, (2) whether GNNs can outperform traditional ... ...

Abstract	With a long history of traditional Graph Anomaly Detection (GAD) algorithms and recently popular Graph Neural Networks (GNNs), it is still not clear (1) how they perform under a standard comprehensive setting, (2) whether GNNs can outperform traditional algorithms such as tree ensembles, and (3) how about their efficiency on large-scale graphs. In response, we introduce GADBench -- a benchmark tool dedicated to supervised anomalous node detection in static graphs. GADBench facilitates a detailed comparison across 29 distinct models on ten real-world GAD datasets, encompassing thousands to millions ($\sim$6M) nodes. Our main finding is that tree ensembles with simple neighborhood aggregation can outperform the latest GNNs tailored for the GAD task. We shed light on the current progress of GAD, setting a robust groundwork for subsequent investigations in this domain. GADBench is open-sourced at https://github.com/squareRoot3/GADBench. Comment: NeurIPS 2023 Datasets and Benchmarks Track camera ready version
Keywords	Computer Science - Machine Learning
Subject code	006
Publishing date	2023-06-21
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Emissions and meteorological impacts on PM2.5 species concentrations in Southern California using generalized additive modeling

Gao, Ziqi / Ivey, Cesunica E. / Blanchard, Charles L. / Do, Khanh / Lee, Sang-Mi / Russell, Armistead G.

Science of the Total Environment. 2023 Sept., v. 891 p.164464-

2023

Abstract: The chemical composition of PM₂.₅ has a significant impact on human health and air quality, and its accurate knowledge can be used to identify contributing emission sources. Assessing and quantifying the impacts of various factors (e.g., emissions, ... ...

Abstract	The chemical composition of PM₂.₅ has a significant impact on human health and air quality, and its accurate knowledge can be used to identify contributing emission sources. Assessing and quantifying the impacts of various factors (e.g., emissions, meteorology, and large-scale climate patterns) on the main PM₂.₅ chemical components can give guidance for implementing effective regulations to improve air quality in the future. In this study, we developed generalized additive models (GAMs) to assess how emissions, meteorological factors, and large-scale climate indices affected ammonium, sulfate, nitrate, elemental carbon, and organic carbon from 2002 to 2019 in the South Coast Air Basin (SoCAB). Concentration trends from three sites in the SoCAB are studied. The statistical results showed that GAMs can capture the variability of these species' daily concentrations (R² = 0.6 to 0.7) and annual concentrations (R² = 0.93 to 0.99). Precursor emissions most significantly affect PM₂.₅ species production, though meteorological factors like maximum temperature, relative humidity, wind speed, and boundary layer height, also influence PM₂.₅ composition. In the future, these meteorological factors will become more significant in affecting PM₂.₅ speciation, although emissions will continue to strongly affect formation. Results show that the composition of most PM₂.₅ species will decrease in the future except for OC, which will become the largest contributor to PM₂.₅.
Keywords	air ; air quality ; ammonium ; basins ; climate ; coasts ; environment ; human health ; meteorology ; nitrates ; organic carbon ; relative humidity ; sulfates ; temperature ; wind speed ; California ; GAM ; Nitrate ; Sulfate ; Elemental carbon
Language	English
Dates of publication	2023-09
Publishing place	Elsevier B.V.
Document type	Article ; Online
Note	Pre-press version
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2023.164464
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 74/341: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

To top

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED