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Article ; Online: Up-Conversion Luminescence and Temperature Sensing of Er

Hao, Haoyue / Zhu, MengYao / Li, Liang

ACS omega

2023 Volume 8, Issue 7, Page(s) 6847–6853

Abstract: In this paper, ... ...

Abstract	In this paper, Er
Language	English
Publishing date	2023-02-07
Publishing country	United States
Document type	Journal Article
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.2c07565
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Construction of active-inert core-shell structured nanocrystals for broad range multicolor upconversion luminescence.

Zhu, Mengyao / Li, Zhenhua / Li, Xuecheng / Zhang, Xueru / Wang, Yuxiao / Hao, Haoyue / Li, Liang

Scientific reports

2024 Volume 14, Issue 1, Page(s) 7099

Abstract: Rare earth doped up-conversion luminescent nano-materials exhibit abundant emission colors under suitable excitation condition. In this work, ... ...

Abstract	Rare earth doped up-conversion luminescent nano-materials exhibit abundant emission colors under suitable excitation condition. In this work, NaYF
Language	English
Publishing date	2024-03-26
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-57523-y
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Article: Phylogenetic conservation in plant phenological traits varies between temperate and subtropical climates in China.

Shahzad, Khurram / Zhu, Mengyao / Cao, Lijuan / Hao, Yulong / Zhou, Yu / Liu, Wei / Dai, Junhu

Frontiers in plant science

2024 Volume 15, Page(s) 1367152

Abstract: Phenological traits, such as leaf and flowering dates, are proven to be phylogenetically conserved. The relationship between phylogenetic conservation, plant phenology, and climatic factors remains unknown. Here, we assessed phenological features among ... ...

Abstract	Phenological traits, such as leaf and flowering dates, are proven to be phylogenetically conserved. The relationship between phylogenetic conservation, plant phenology, and climatic factors remains unknown. Here, we assessed phenological features among flowering plants as evidence for phylogenetic conservatism, the tendency for closely related species to share similar ecological and biological attributes. We use spring phenological traits data from 1968-2018 of 65 trees and 49 shrubs in Xi'an (temperate climate) and Guiyang (subtropical climate) to understand plant phenological traits' relationship with phylogeny. Molecular datasets are employed in evolutionary models to test the phylogenetic conservatism in spring phenological characteristics in response to climate-sensitive phenological features. Significant phylogenetic conservation was found in the Xi'an plant's phenological traits, while there was a non-significant conservation in the Guiyang plant species. Phylogenetic generalized least squares (PGLS) models correlate with phenological features significantly in Xi'an while non-significantly in Guiyang. Based on the findings of molecular dating, it was suggested that the Guiyang species split off from their relatives around 46.0 mya during the middle Eocene of the Tertiary Cenozoic Era, while Xi'an species showed a long evolutionary history and diverged from their relatives around 95 mya during the late Cretaceous Mesozoic Era. First leaf dates (FLD) indicative of spring phenology, show that Xi'an adjourned the case later than Guiyang. Unlike FLD, first flower dates (FFD) yield different results as Guiyang flowers appear later than Xi'an's. Our research revealed that various factors, including phylogeny, growth form, and functional features, influenced the diversity of flowering phenology within species in conjunction with local climate circumstances. These results are conducive to understanding evolutionary conservation mechanisms in plant phenology concerning evolutionary processes in different geographical and climate zones.
Language	English
Publishing date	2024-04-10
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2024.1367152
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Article ; Online: Effect of telehealth interventions on adherence to endocrine therapy among patients with breast cancer: a systematic review and meta-analysis.

Sun, Shihao / Zhang, Baoyi / Zhang, Ni / Zhang, Yiheng / Zhu, Mengyao / Zhang, Meifen

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer

2024 Volume 32, Issue 3, Page(s) 151

Abstract: Purpose: To evaluate the effect of telehealth interventions on adherence to endocrine therapy among patients with breast cancer.: Methods: A systematic search of five English databases (PubMed, Web of Science, Embase, the American Psychological ... ...

Abstract	Purpose: To evaluate the effect of telehealth interventions on adherence to endocrine therapy among patients with breast cancer. Methods: A systematic search of five English databases (PubMed, Web of Science, Embase, the American Psychological Association PsycNet, and the Cochrane Library) and four Chinese databases (Chinese National Knowledge Infrastructure, SinoMed, WanFang Data, and WeiPu Data) was performed from inception to March 31, 2023. Two investigators independently screened the available studies for eligibility and extracted relevant data. Quality assessment was conducted using the Cochrane Risk of Bias Tool. The effect size was computed based on the risk ratio for dichotomous data and standardized mean difference for continuous data using Review Manager 5.4. Results: A total of 1,780 participants from eight randomized controlled trials were included. These studies involved treatment with aromatase inhibitors only (n = 3) or aromatase inhibitors plus tamoxifen (n = 5). Telehealth interventions involved web-based interventions, telephone-based interventions, interventions via mobile applications, and interventions based on technology. In three studies, subjective measures were used, while objective measures were utilized in another three. Two studies incorporated a combination of both subjective and objective measures. The duration of the interventions varied among studies, ranging from a week to 36 months. The follow-up duration ranged from 4 weeks to 36 months. The quality of included studies was moderate to high. The meta-analysis of the five studies reporting dichotomous data showed that telehealth interventions had a significant effect on adherence to endocrine therapy (RR = 0.86, 95% CI = 0.76-0.97). Moreover, four studies reported continuous data. The meta-analysis demonstrated that telehealth interventions significantly improved adherence to endocrine therapy at 1 month (SMD = 0.50, 95% CI = 0.10-0.90), 3 months (SMD = 0.58, 95% CI = 0.17-0.99), and 6 months (SMD = 0.27, 95% CI = 0.08-0.47) of follow-up. Conclusion: Telehealth interventions may facilitate adherence to endocrine therapy among patients with breast cancer. Further research should adopt a theory-based design and explore the longer-term effects.
MeSH term(s)	Humans ; Female ; Breast Neoplasms/drug therapy ; Aromatase Inhibitors ; Telemedicine
Chemical Substances	Aromatase Inhibitors
Language	English
Publishing date	2024-02-09
Publishing country	Germany
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Review
ZDB-ID	1134446-5
ISSN	1433-7339 ; 0941-4355
ISSN (online)	1433-7339
ISSN	0941-4355
DOI	10.1007/s00520-024-08339-z
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Article ; Online: Hyperspectral anomaly detection with vision transformer and adversarial refinement

Xu, Yating / Zhao, Kai / Zhang, Liangang / Zhu, Mengyao / Zeng, Dan

International Journal of Remote Sensing. 2023 July 03, v. 44, no. 13 p.4034-4057

2023

Abstract: Hyperspectral images (HSIs) record the electromagnetic energy from the visible to infrared bands, which can obtain rich spectral and spatial information. HSI is a three-dimensional volume, which combines one-dimensional spectral feature and two- ... ...

Abstract	Hyperspectral images (HSIs) record the electromagnetic energy from the visible to infrared bands, which can obtain rich spectral and spatial information. HSI is a three-dimensional volume, which combines one-dimensional spectral feature and two-dimensional spatial information. Hyperspectral anomaly detection aims at detecting the objects where the spectral or spatial features are significantly different from the neighbouring background when the targets or background priors are unknown, which is a special kind of anomaly detection. In this paper, we propose a hyperspectral anomaly detector based on vision-transformer. We cast anomaly detection as an image inpainting problem, and the background is reconstructed by the inpainting-transformer model, whereas the anomaly is detected by a morphological filter. Since the background is large, whereas the anomaly area is relatively smaller, we randomly mask out some areas and train the network to recover these areas based on the background context, and the network mainly learns the background feature from the surroundings, thus the background area is reconstructed at first. Then, we remove the background from the input image and use the morphological filter to extract small areas, which enhances the detection results. Finally, we use an adversarial strategy to suppress the reconstruction of anomalies and refine the results based on suppressed images. Extensive experiments on two HSI dataset with 15 images demonstrate that our method outperforms state-of-the-art competitors.
Keywords	data collection ; energy ; models ; spatial data ; vision ; Hyperspectral image ; anomaly detection ; vision transformer ; morphological filtering
Language	English
Dates of publication	2023-0703
Size	p. 4034-4057.
Publishing place	Taylor & Francis
Document type	Article ; Online
ZDB-ID	1497529-4
ISSN	1366-5901 ; 0143-1161
ISSN (online)	1366-5901
ISSN	0143-1161
DOI	10.1080/01431161.2023.2229495
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Effects of different organic fertilisers on the microbial functional diversity and bacterial communities in a tobacco soil

Zhu, Mengyao / Xu, Dabing / Si, Guohan / Peng, Chenglin / Yuan, Jiafu / Zhao, Shujun

Archives of Agronomy and Soil Science. 2023 July 29, v. 69, no. 9 p.1566-1578

2023

Abstract: A long-term field experiment was conducted to investigate the effects of organic manure (commercial organic manure, CFM1; cow manure, CFM2; green manure, CFM3) and chemical fertiliser (CK) on the microbial diversity of a tobacco-planted soil using Biolog ...

Abstract	A long-term field experiment was conducted to investigate the effects of organic manure (commercial organic manure, CFM1; cow manure, CFM2; green manure, CFM3) and chemical fertiliser (CK) on the microbial diversity of a tobacco-planted soil using Biolog ECO and 16S rRNA sequencing technology. The results showed that organic manure treatments increased the available nutrient content in the soil, including nitrogen (AN, 2.1–13.3%), potassium (AK, 14.2–31.8%), labile organic carbon (19.9–37.4%), and microbial biomass carbon (11.9–21.0%), as well as the mean weight diameter and geometric mean diameter. The average well colour development value and McIntosh diversity index in CFM1 treatment increased by 23.6% and 18.9%, respectively, compared with CK. The 16S rRNA sequencing analysis suggested that CFM1 and CFM2 treatments improved the richness and diversity of soil bacteria and recruited more potentially beneficial bacteria. Redundancy analysis showed that soil physicochemical properties, excluding AN and Olsen–P were positively correlated with the abundance of bacteria dominant in the CFM1 treatment. This indicates that application of CFM1 is a sound fertilisation strategy to improve soil fertility and create a good ecological environment.
Keywords	agronomy ; color ; cow manure ; field experimentation ; functional diversity ; green manures ; labile carbon ; microbial carbon ; nitrogen ; nutrient content ; phosphorus ; potassium ; soil ; soil fertility ; tobacco ; Microbial diversity ; BIOLOG ; high-throughput sequencing ; tobacco-planted
Language	English
Dates of publication	2023-0729
Size	p. 1566-1578.
Publishing place	Taylor & Francis
Document type	Article ; Online
ZDB-ID	1132910-5
ISSN	1476-3567 ; 0365-0340
ISSN (online)	1476-3567
ISSN	0365-0340
DOI	10.1080/03650340.2022.2103548
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Differences in thinking flexibility between novices and experts based on eye tracking.

Zhu, Mengyao / Bao, Defu / Yu, Yuxiang / Shen, Danni / Yi, Minzhe

PloS one

2022 Volume 17, Issue 6, Page(s) e0269363

Abstract: The influence of thinking flexibility on design is often underestimated by researchers in the field of design education. In this study, morphological analysis was used as a tool to develop design proposals and eye tracking technology was applied to track ...

Abstract	The influence of thinking flexibility on design is often underestimated by researchers in the field of design education. In this study, morphological analysis was used as a tool to develop design proposals and eye tracking technology was applied to track the attention. The feature of thinking activities in problem-solving between two groups (novice and expert) was analyzed by Heat map and Gaze plot in qualitative, and measured by indicators such as fixation and saccade in quantitative. Findings suggested that, i) Experts showed more fixation duration and fixation numbers in thinking activities, and the attention containing more AOIs was positively related to the rationality of the scheme. ii) Saccades with greater amplitude were more beneficial to the novelty of scheme. iii) Experts considered the information of each block in a balanced way, while novices tended to ignore unimportant blocks. These results will have a far-reaching impact on the development of designers' thinking and help novices to exercise creative thinking and produce high-quality designs.
MeSH term(s)	Attention ; Eye-Tracking Technology ; Saccades
Language	English
Publishing date	2022-06-30
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0269363
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Article ; Online: Goal or Miss? A Bernoulli Distribution for In-Game Outcome Prediction in Soccer.

Yao, Wendi / Wang, Yifan / Zhu, Mengyao / Cao, Yixin / Zeng, Dan

Entropy (Basel, Switzerland)

2022 Volume 24, Issue 7

Abstract: Due to a colossal soccer market, soccer analysis has attracted considerable attention from industry and academia. In-game outcome prediction has great potential in various applications such as game broadcasting, tactical decision making, and betting. In ... ...

Abstract	Due to a colossal soccer market, soccer analysis has attracted considerable attention from industry and academia. In-game outcome prediction has great potential in various applications such as game broadcasting, tactical decision making, and betting. In some sports, the method of directly predicting in-game outcomes based on the ongoing game state is already being used as a statistical tool. However, soccer is a sport with low-scoring games and frequent draws, which makes in-game prediction challenging. Most existing studies focus on pre-game prediction instead. This paper, however, proposes a two-stage method for soccer in-game outcome prediction, namely in-game outcome prediction (IGSOP). When the full length of a soccer game is divided into sufficiently small time frames, the goal scored by each team in each time frame can be modeled as a random variable following the Bernoulli distribution. In the first stage, IGSOP adopts state-based machine learning to predict the probability of a scoring goal in each future time frame. In the second stage, IGSOP simulates the remainder of the game to estimate the outcome of a game. This two-stage approach effectively captures the dynamic situation after a goal and the uncertainty in the late phase of a game. Chinese Super League data have been used for algorithm training and evaluation, and the results demonstrate that IGSOP outperforms existing methods, especially in predicting draws and prediction during final moments of games. IGSOP provides a novel perspective to solve the problem of in-game outcome prediction in soccer, which has a potential ripple effect on related research.
Language	English
Publishing date	2022-07-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e24070971
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Article ; Online: Adsorption Behavior of Dissolved Gas Molecules in Transformer Oil on Rh Modified GeSe Monolayer.

Long, Yunfeng / Peng, Zhaoyu / Guo, Liang-Yan / He, Xiaohui / Zhu, Mengyao / Yang, Zewen / Liu, Taiwen

ACS omega

2024 Volume 9, Issue 6, Page(s) 7061–7068

Abstract: Dissolved gas analysis in transformer oil is useful for detecting early transformer failures. The research on gas sensors for monitoring dissolved gas in transformer oil has attracted wide attention from academia and industry. In this study, Rh-doped ... ...

Abstract	Dissolved gas analysis in transformer oil is useful for detecting early transformer failures. The research on gas sensors for monitoring dissolved gas in transformer oil has attracted wide attention from academia and industry. In this study, Rh-doped GeSe monolayers were used as gas sensing materials based on the density functional theory (DFT). The potential of the Rh-GeSe monolayer as a gas sensor was evaluated by calculating the geometric structure, adsorption distance (
Language	English
Publishing date	2024-01-31
Publishing country	United States
Document type	Journal Article
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.3c09001
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Article ; Online: General and Scalable Synthesis of Mesoporous 2D MZrO

Yan, Jiawei / Luo, Yifei / Zhu, Mengyao / Yang, Bixia / Shen, Xiaoxin / Wang, Zhiqi / Zhuang, Zanyong / Yu, Yan

Small (Weinheim an der Bergstrasse, Germany)

2024 , Page(s) e2308016

Abstract: In modern heterogeneous catalysis, it remains highly challenging to create stable, low-cost, mesoporous 2D photo-/electro-catalysts that carry atomically dispersed active sites. In this work, a general shape-preserving amorphous-to-crystalline ... ...

Abstract	In modern heterogeneous catalysis, it remains highly challenging to create stable, low-cost, mesoporous 2D photo-/electro-catalysts that carry atomically dispersed active sites. In this work, a general shape-preserving amorphous-to-crystalline transformation (ACT) strategy is developed to dope various transition metal (TM) heteroatoms in ZrO
Language	English
Publishing date	2024-02-02
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2168935-0
ISSN	1613-6829 ; 1613-6810
ISSN (online)	1613-6829
ISSN	1613-6810
DOI	10.1002/smll.202308016
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