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Article ; Online: An incidence of tracheal rupture during robotic-assisted thoracoscopic surgery: A case report.

Wang, Xiang / Du, Yimin / Chen, Li / Zhong, Liang

2024

Language	English
Publishing date	2024-03-02
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2024.02.013
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Article: Epithelial and mesenchymal phenotypes determine the dynamics of circulating breast tumor cells in microfluidic capillaries under chemotherapy-induced stress.

Du, Rong / Han, Xiaoning / Deng, Linhong / Wang, Xiang

Biomicrofluidics

2024 Volume 18, Issue 2, Page(s) 24106

Abstract: Circulating tumor cells (CTCs) with different epithelial and mesenchymal phenotypes play distinct roles in the metastatic cascade. However, the influence of their phenotypic traits and chemotherapy on their transit and retention within capillaries ... ...

Abstract	Circulating tumor cells (CTCs) with different epithelial and mesenchymal phenotypes play distinct roles in the metastatic cascade. However, the influence of their phenotypic traits and chemotherapy on their transit and retention within capillaries remains unclear. To explore this, we developed a microfluidic device comprising 216 microchannels of different widths from 5 to 16
Language	English
Publishing date	2024-04-05
Publishing country	United States
Document type	Journal Article
ISSN	1932-1058
ISSN	1932-1058
DOI	10.1063/5.0188861
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: City-level livestock methane emissions in China from 2010 to 2020.

Du, Mingxi / Kang, Xiang / Liu, Qiuyu / Du, Haifeng / Zhang, Jianjun / Yin, Yulong / Cui, Zhenling

Scientific data

2024 Volume 11, Issue 1, Page(s) 251

Abstract: Livestock constitute the world's largest anthropogenic source of methane ( ... ...

Abstract	Livestock constitute the world's largest anthropogenic source of methane (CH
MeSH term(s)	Animals ; China ; Livestock ; Methane/analysis ; Urbanization
Chemical Substances	Methane (OP0UW79H66)
Language	English
Publishing date	2024-02-28
Publishing country	England
Document type	Dataset ; Journal Article
ZDB-ID	2775191-0
ISSN	2052-4463 ; 2052-4463
ISSN (online)	2052-4463
ISSN	2052-4463
DOI	10.1038/s41597-024-03072-y
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Article ; Online: Prognostic Value of Lymphocyte-to-Monocyte Ratio (LMR) in Patients With Prostate Cancer: A Systematic Review and Meta-Analysis.

Xiang, Qin / Liu, Yueguang / Xiao, Junwen / Ou, Longhua / Du, Jianhui

American journal of men's health

2024 Volume 18, Issue 2, Page(s) 15579883241234747

Abstract: The objective of this study is to evaluate the prognostic value of lymphocyte-to-monocyte ratio (LMR) in patients with prostate cancer (PCa) by a method of meta-analysis. China National Knowledge Infrastructure (CNKI), Wanfang Data, PubMed, Web of ... ...

Abstract	The objective of this study is to evaluate the prognostic value of lymphocyte-to-monocyte ratio (LMR) in patients with prostate cancer (PCa) by a method of meta-analysis. China National Knowledge Infrastructure (CNKI), Wanfang Data, PubMed, Web of Science, Cochrane Library, and Embase were searched to collect relevant literature until March 2023. The Newcastle-Ottawa Scale was used to assess the bias risk of the literature included. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the prognostic value of LMR in PCa. Stata 15.0 statistical software was used for data analysis. A total of six published articles were included in this meta-analysis, containing 1,104 patients with PCa. The results of the meta-analysis indicated better overall survival (OS; HR = 1.73, 95% CI: 1.73,
MeSH term(s)	Humans ; Male ; Monocytes ; Prognosis ; Lymphocytes ; Proportional Hazards Models ; Prostatic Neoplasms
Language	English
Publishing date	2024-03-21
Publishing country	United States
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Review
ZDB-ID	2275106-3
ISSN	1557-9891 ; 1557-9883
ISSN (online)	1557-9891
ISSN	1557-9883
DOI	10.1177/15579883241234747
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Article ; Online: Energy-Efficient Distributed Formation Control of Sampled-Data Multiagent Systems With Packet Losses.

Xiang, Linying / Du, Yong / Jia, Chunxiang / Chen, Fei / Chen, Guanrong

IEEE transactions on cybernetics

2024 Volume 54, Issue 4, Page(s) 2216–2223

Abstract: This article investigates an energy-efficient formation control problem for multiagent systems with sampled data and random packet losses. A Bernoulli stochastic variable is used to describe packet losses, which is defined relative to the transmission ... ...

Abstract	This article investigates an energy-efficient formation control problem for multiagent systems with sampled data and random packet losses. A Bernoulli stochastic variable is used to describe packet losses, which is defined relative to the transmission energy consumed by antennas. A distributed sampled-data formation control law is designed and some analytic sufficient conditions on the formation control are derived. It is revealed that the sampling period, control parameters, network topology, as well as the transmission energy used by sensors impose inherent limitations in achieving the formation. Also, a method for searching the minimum allowable transmission energy is presented. Finally, numerical simulations are shown for illustration and verification.
Language	English
Publishing date	2024-03-18
Publishing country	United States
Document type	Journal Article
ISSN	2168-2275
ISSN (online)	2168-2275
DOI	10.1109/TCYB.2022.3213597
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Article ; Online: Effects of non-pelleted or pelleted low-native grass and pelleted high-native grass diets on meat quality by regulating the rumen microbiota in lambs.

Liu, Tingyu / Bu, Zhenkun / Xiang, Kaifeng / Jia, Yushan / Du, Shuai

Microbiology spectrum

2024 Volume 12, Issue 4, Page(s) e0375823

Abstract: Diet modulates the rumen microbiota, which in turn can impact the animal performance. The rumen microbiota is increasingly recognized for its crucial role in regulating the growth and meat quality of the host. Nevertheless, the mechanism by which the ... ...

Abstract	Diet modulates the rumen microbiota, which in turn can impact the animal performance. The rumen microbiota is increasingly recognized for its crucial role in regulating the growth and meat quality of the host. Nevertheless, the mechanism by which the rumen microbiome influences the fatty acid and amino acid profiles of lambs in the grass feeding system remains unclear. This study aimed to evaluate the effects of different native grass-based diets on animal performance, meat quality, fatty acid compositions, amino acid profiles, and rumen microbiota of lamb. Seventy-two Ujumqin lambs were randomly assigned into three treatments according to the initial body weight (27.39 ± 0.51 kg) and age (6 months ± 6 days). The lambs received three diets: (i) non-pelleted native grass hay with 40% concentrate diet; the native grass and concentrate were fed individually; (ii) pelleted native grass hay with 40% concentrate diet (PHLC); (iii) pelleted native grass hay with 60% concentrate diet (PHHC). The results showed that among the three groups, the PHHC and PHLC diets had markedly ( Importance: Diet modulates the gut microbiome, which in turn impact the meat quality, yet few studies investigate the correlation between the rumen microbiome and the fatty acid profile of meat. Here, the current study develops an experiment to investigate the correlation of the rumen microbiome and fatty acid profile of meat: rumen microbiome responses to feed type and meat quality. The results indicated a unique microbiota in the rumen of lamb in response to diets and meat quality. Associations between utilization and production were widely identified among the affected microbiome and meat quality, and these findings will contribute to the direction of future research in lamb.
MeSH term(s)	Sheep ; Animals ; Rumen ; Animal Feed/analysis ; Diet/veterinary ; Fatty Acids/metabolism ; Gastrointestinal Microbiome ; Meat ; Amino Acids/metabolism
Chemical Substances	Fatty Acids ; Amino Acids
Language	English
Publishing date	2024-02-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	2807133-5
ISSN	2165-0497 ; 2165-0497
ISSN (online)	2165-0497
ISSN	2165-0497
DOI	10.1128/spectrum.03758-23
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Article ; Online: Body dysmorphic disorder symptoms in patients with melasma.

Zhu, Yuan / Du, Xiaohang / Shen, Sihao / Song, Xiuzu / Xiang, Wenzhong

International journal of dermatology

2024

Abstract: Background: Body dysmorphic disorder (BDD) is a psychiatric condition characterized by extreme preoccupation with non-existent or minor defects in appearance, disrupting daily functioning. Melasma is a common concern among BDD patients with ... ...

Abstract	Background: Body dysmorphic disorder (BDD) is a psychiatric condition characterized by extreme preoccupation with non-existent or minor defects in appearance, disrupting daily functioning. Melasma is a common concern among BDD patients with dermatological conditions. This study aimed to estimate the incidence and characteristics of BDD in patients with melasma, and compare the psychological condition of patients and age- and sex-matched healthy controls. Methods: Patients with melasma and healthy controls were screened using the BDD Questionnaire (BDDQ), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS). A questionnaire was administered to collect demographic information and clinical characteristics. Standard statistical tests were conducted, such as descriptive analysis, chi-square, and nonparametric tests. The level of statistical significance for all tests was set at a P < 0.05. Results: Among the 470 patients with melasma included in the study, 53 were positive for BDDQ in the preliminary screening and were associated with a history of treatment, higher Melasma Area and Severity Index (MASI), and Melasma Quality of Life (MELASQoL) scores, and higher SAS and SDS scores. The positive rate of BDDQ ranged from 0.4%, using the most stringent criteria to assess melasma severity, to 11.3%, without using objective criteria. Compared to healthy controls, patients with melasma had a higher positive rate of BDDQ and higher SAS and SDS scores. Conclusion: In patients with melasma who exaggerate the severity of the disease, psychiatric treatment and the patient-physician relationship have a positive effect. This study assessed the positive rate of BDDQ in melasma and proposed the feasibility of psychiatric treatment for patients with melasma.
Language	English
Publishing date	2024-01-22
Publishing country	England
Document type	Journal Article
ZDB-ID	412254-9
ISSN	1365-4632 ; 0011-9059 ; 1461-1244
ISSN (online)	1365-4632
ISSN	0011-9059 ; 1461-1244
DOI	10.1111/ijd.17013
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Article ; Online: An ADMM-LSTM framework for short-term load forecasting.

Liu, Shuo / Kong, Zhengmin / Huang, Tao / Du, Yang / Xiang, Wei

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

2024 Volume 173, Page(s) 106150

Abstract: Accurate short-term load forecasting (STLF) is crucial for maintaining reliable and efficient operations within power systems. With the continuous increase in volume and variety of energy data provided by renewables, electric vehicles and other sources, ... ...

Abstract	Accurate short-term load forecasting (STLF) is crucial for maintaining reliable and efficient operations within power systems. With the continuous increase in volume and variety of energy data provided by renewables, electric vehicles and other sources, long short-term memory (LSTM) has emerged as an attractive approach for STLF due to its superiorities in extracting the dynamic temporal information. However, traditional LSTM training methods rely on stochastic gradient methods that have several limitations. This paper presents an innovative LSTM optimization framework via the alternating direction method of multipliers (ADMM) for STLF, dubbed ADMM-LSTM. Explicitly, we train the LSTM network distributedly by the ADMM algorithm. More specifically, we introduce a novel approach to update the parameters in the ADMM-LSTM framework, using a backward-forward order, significantly reducing computational time. Additionally, within the proposed framework, the solution to each subproblem is achieved by utilizing either the proximal point algorithm or local linear approximation, preventing the need for supplementary numerical solvers. This approach confers several advantages, including avoiding issues associated with exploding or vanishing gradients, thanks to the inherent gradient-free characteristics of ADMM-LSTM. Furthermore, we offer a comprehensive theoretical analysis that elucidates the convergence properties inherent to the ADMM-LSTM framework. This analysis provides a deeper understanding of the algorithm's convergence behavior. Lastly, the efficacy of our method is substantiated through a series of experiments conducted on two publicly available datasets. The experimental results demonstrate the superior performance of our approach when compared to existing methods.
MeSH term(s)	Algorithms ; Memory, Long-Term ; Forecasting
Language	English
Publishing date	2024-02-01
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.2024.106150
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Article ; Online: Exploring the Effect of Health on Migrants' Social Integration in China.

Kang, Xiang / Du, Mingxi / Wang, Siqin / Du, Haifeng

International journal of environmental research and public health

2022 Volume 19, Issue 8

Abstract: There are 376 million migrants, which account for more than 25% of the population in China according to the newest national demographic census, most of whom are from undeveloped areas to developed urban regions. Migrants' social integration was one of ... ...

Abstract	There are 376 million migrants, which account for more than 25% of the population in China according to the newest national demographic census, most of whom are from undeveloped areas to developed urban regions. Migrants' social integration was one of the most important issues when the country aimed to build an inclusive society. As a form of human capital, the effect of migrants' health status on social integration has rarely been explored until now, especially empirically. Previous studies have usually ignored health indicators when discussing the determinants of migrants' social integration, and understanding the role of migrants' physical health and mental health on their social integration is significant for efforts to ensure inclusive urbanization. For filling this research gap, the China Migrants Dynamic Survey dataset was used to uncover the role of migrants' health status, including physical health and mental health, in their degree of social integration, and a further comparison of impact was conducted among rural-urban and urban-urban migrants. Through the empirical analysis, our results indicated the following. First, both better physical and mental health lead to higher social integration levels, and a one-point increase in physical and mental health improves the odds of good social integration by 33.27% and 5.98% for belonging and 66.05% and 6.35% for harmony, respectively. Second, health status is equally important for rural-urban and urban-urban migrants' social integration, and the significant positive effect was consistent across groups, although some other impact factors may exhibit differences. Third, the effect of health status on social integration was moderated by social participation, which was more obvious for mental health than physical health. According to our findings, we discuss the measures to promote migrants' health status and additional countermeasures to improve their social integration level.
MeSH term(s)	China/epidemiology ; Humans ; Rural Population ; Social Integration ; Transients and Migrants ; Urban Population ; Urbanization
Language	English
Publishing date	2022-04-14
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph19084729
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Book ; Online: Generalized Invariant Matching Property via LASSO

Du, Kang / Xiang, Yu

2023

Abstract: Learning under distribution shifts is a challenging task. One principled approach is to exploit the invariance principle via the structural causal models. However, the invariance principle is violated when the response is intervened, making it a ... ...

Abstract	Learning under distribution shifts is a challenging task. One principled approach is to exploit the invariance principle via the structural causal models. However, the invariance principle is violated when the response is intervened, making it a difficult setting. In a recent work, the invariant matching property has been developed to shed light on this scenario and shows promising performance. In this work, by formulating a high-dimensional problem with intrinsic sparsity, we generalize the invariant matching property for an important setting when only the target is intervened. We propose a more robust and computation-efficient algorithm by leveraging a variant of Lasso, improving upon the existing algorithms. Comment: Accepted to the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023)
Keywords	Statistics - Methodology ; Computer Science - Machine Learning
Publishing date	2023-01-14
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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