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Artikel ; Online: Trends in cognitive function before and after stroke in China

Jianian Hua / Jianye Dong / Guo-Chong Chen / Yueping Shen

BMC Medicine, Vol 21, Iss 1, Pp 1-

2023 Band 11

Abstract: Abstract Background While cognitive impairment after stroke is common, cognitive trends before stroke are poorly understood, especially among the Chinese population who have a relatively high stroke burden. We aimed to model the trajectories of cognitive ...

Abstract	Abstract Background While cognitive impairment after stroke is common, cognitive trends before stroke are poorly understood, especially among the Chinese population who have a relatively high stroke burden. We aimed to model the trajectories of cognitive function before and after new-onset stroke among Chinese. Methods A total of 13,311 Chinese participants aged ≥ 45 years and without a history of stroke were assessed at baseline between June 2011 and March 2012 and in at least one cognitive test between 2013 (wave 2) and 2018 (wave 4). Cognitive function was assessed using a global cognition score, which included episodic memory, visuospatial abilities, and a 10-item Telephone Interview of Cognitive Status (TICS-10) test to reflect calculation, attention, and orientation abilities. Results During the 7-year follow-up, 610 (4.6%) participants experienced a first stroke. Both stroke and non-stroke groups showed declined cognitive function during follow-up. After adjustment for covariates, there was no significant difference in pre-stroke cognitive trajectories between stroke patients and stroke-free participants. The stroke group showed an acute decline in episodic memory (− 0.123 SD), visuospatial abilities (− 0.169 SD), and global cognition (− 0.135 SD) after stroke onset. In the years following stroke, the decline rate of the TICS-10 test was higher than the rate before stroke (− 0.045 SD/year). Conclusions Chinese stroke patients had not experienced steeper declines in cognition before stroke compared with stroke-free individuals. Incident stroke was associated with acute declines in global cognition, episodic memory, visuospatial abilities, and accelerated declines in calculation, attention, and orientation abilities.
Schlagwörter	Stroke ; Cognitive function ; Chinese population ; Cohort study ; Medicine ; R
Sprache	Englisch
Erscheinungsdatum	2023-06-01T00:00:00Z
Verlag	BMC
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: A Vision/Inertial Navigation/Global Navigation Satellite Integrated System for Relative and Absolute Localization in Land Vehicles.

Zhang, Yao / Chu, Liang / Mao, Yabin / Yu, Xintong / Wang, Jiawei / Guo, Chong

Sensors (Basel, Switzerland)

2024 Band 24, Heft 10

Abstract: This paper presents an enhanced ground vehicle localization method designed to address the challenges associated with state estimation for autonomous vehicles operating in diverse environments. The focus is specifically on the precise localization of ... ...

Abstract	This paper presents an enhanced ground vehicle localization method designed to address the challenges associated with state estimation for autonomous vehicles operating in diverse environments. The focus is specifically on the precise localization of position and orientation in both local and global coordinate systems. The proposed approach integrates local estimates generated by existing visual-inertial odometry (VIO) methods into global position information obtained from the Global Navigation Satellite System (GNSS). This integration is achieved through optimizing fusion in a pose graph, ensuring precise local estimation and drift-free global position estimation. Considering the inherent complexities in autonomous driving scenarios, such as the potential failures of a visual-inertial navigation system (VINS) and restrictions on GNSS signals in urban canyons, leading to disruptions in localization outcomes, we introduce an adaptive fusion mechanism. This mechanism allows seamless switching between three modes: utilizing only VINS, using only GNSS, and normal fusion. The effectiveness of the proposed algorithm is demonstrated through rigorous testing in the Carla simulation environment and challenging UrbanNav scenarios. The evaluation includes both qualitative and quantitative analyses, revealing that the method exhibits robustness and accuracy.
Sprache	Englisch
Erscheinungsdatum	2024-05-12
Erscheinungsland	Switzerland
Dokumenttyp	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24103079
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Intrinsic RNA Targeting Triggers Indiscriminate DNase Activity of CRISPR-Cas12a.

Zhang, Jiongyu / Li, Ziyue / Guo, Chong / Guan, Xin / Avery, Lori / Banach, David / Liu, Changchun

Angewandte Chemie (International ed. in English)

2024 Band 63, Heft 20, Seite(n) e202403123

Abstract: The CRISPR-Cas12a system has emerged as a powerful tool for next-generation nucleic acid-based molecular diagnostics. However, it has long been believed to be effective only on DNA targets. Here, we investigate the intrinsic RNA-enabled trans-cleavage ... ...

Abstract	The CRISPR-Cas12a system has emerged as a powerful tool for next-generation nucleic acid-based molecular diagnostics. However, it has long been believed to be effective only on DNA targets. Here, we investigate the intrinsic RNA-enabled trans-cleavage activity of AsCas12a and LbCas12a and discover that they can be directly activated by full-size RNA targets, although LbCas12a exhibits weaker trans-cleavage activity than AsCas12a on both single-stranded DNA and RNA substrates. Remarkably, we find that the RNA-activated Cas12a possesses higher specificity in recognizing mutated target sequences compared to DNA activation. Based on these findings, we develop the "Universal Nuclease for Identification of Virus Empowered by RNA-Sensing" (UNIVERSE) assay for nucleic acid testing. We incorporate a T7 transcription step into this assay, thereby eliminating the requirement for a protospacer adjacent motif (PAM) sequence in the target. Additionally, we successfully detect multiple PAM-less targets in HIV clinical samples that are undetectable by the conventional Cas12a assay based on double-stranded DNA activation, demonstrating unrestricted target selection with the UNIVERSE assay. We further validate the clinical utility of the UNIVERSE assay by testing both HIV RNA and HPV 16 DNA in clinical samples. We envision that the intrinsic RNA targeting capability may bring a paradigm shift in Cas12a-based nucleic acid detection and further enhance the understanding of CRISPR-Cas biochemistry.
Mesh-Begriff(e)	Humans ; CRISPR-Associated Proteins/metabolism ; CRISPR-Associated Proteins/genetics ; CRISPR-Cas Systems/genetics ; Deoxyribonucleases/metabolism ; Endodeoxyribonucleases/metabolism ; Endodeoxyribonucleases/genetics ; Endodeoxyribonucleases/chemistry ; RNA/metabolism ; RNA/chemistry ; RNA/genetics
Chemische Substanzen	Cas12a protein (EC 3.1.-) ; CRISPR-Associated Proteins ; Deoxyribonucleases (EC 3.1.-) ; Endodeoxyribonucleases (EC 3.1.-) ; RNA (63231-63-0)
Sprache	Englisch
Erscheinungsdatum	2024-04-10
Erscheinungsland	Germany
Dokumenttyp	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2011836-3
ISSN	1521-3773 ; 1433-7851
ISSN (online)	1521-3773
ISSN	1433-7851
DOI	10.1002/anie.202403123
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: CONSTRUCTION OF AN INDEX SYSTEM FOR SUSTAINABILITY ASSESSMENT IN SMALLHOLDER FARMING SYSTEMS

Xiaoxia GUO, Chong WANG, Fusuo ZHANG

Frontiers of Agricultural Science and Engineering, Vol 9, Iss 4, Pp 511-

2022 Band 522

Abstract: A five-step process for quantifying smallholder farming system sustainability is proposed. ● Definition of system boundary, functional unit, and indicators depends on research issues. ● Weighting, conversion, and aggregation methods tightly relates to ... ...

Abstract	● A five-step process for quantifying smallholder farming system sustainability is proposed. ● Definition of system boundary, functional unit, and indicators depends on research issues. ● Weighting, conversion, and aggregation methods tightly relates to the validity of assessment results. Smallholder farming systems are important for global food security, but these faces multiple environmental challenges hindering sustainable development. Although sustainable smallholder agriculture issues have been widely discussed and addressed by scientists globally, harmonized approaches in evaluating sustainability are still lacking. This paper proposes a five-step process for constructing a sustainability assessment method for smallholder farming systems, namely definition of system boundary, indicator selection, indicator weighting, indicator conversion, and indicator aggregation. The paper summarizes the state-of-art progresses in agricultural sustainability assessment at different stages, and systematically discussed the benefits and limitations of weighting and aggregation methods. Overall, this evaluation process should be useful by providing rational and comprehensive results for quantifying the sustainability of smallholder farming systems, and will contribute to practice by providing decision-makers with directions for improving sustainable strategies.
Schlagwörter	indicator aggregation\|multi-indicator\|smallholder agriculture\|sustainability assessment\|weighting method ; Agriculture (General) ; S1-972
Thema/Rubrik (Code)	690
Sprache	Englisch
Erscheinungsdatum	2022-12-01T00:00:00Z
Verlag	Higher Education Press
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel: Can environmental awards stimulate corporate green technology innovation? Evidence from Chinese listed companies

Lai, Huisu / Wang, Fengying / Guo, Chong

Environmental science and pollution research. 2022 Feb., v. 29, no. 10

2022

Abstract: Based on the environmental awards granted by credible third parties to recognize firms’ devotion to environmental protection, this study examines the impact of environmental awards on firms’ green technology innovation by using a data sample comprising ... ...

Abstract	Based on the environmental awards granted by credible third parties to recognize firms’ devotion to environmental protection, this study examines the impact of environmental awards on firms’ green technology innovation by using a data sample comprising Chinese A-shares listed firms for a period of 2007 to 2019. Our results show that environmental awards can significantly promote corporate green technology innovation. This finding remains valid after endogenous and robustness testing, including the alternative measure of green technology innovation, and the replacement of the estimation method with the Poisson regression and the negative binomial regression. Additional tests reveal that this influence is exerted through increased long-term loans and government environmental subsidies. Moreover, our study reveals that this effect only exists among non-state-owned enterprises, companies with high financial risk, and heavily polluting enterprises. Compared to extensive studies on how environmental regulation forces companies to conduct green technology innovation, this study provides essential guidance on the role played by positive incentives in driving corporate green technology innovation from the perspective of environmental awards.
Schlagwörter	environmental law ; environmental protection ; pollution ; research ; risk ; sustainable technology ; technology
Sprache	Englisch
Erscheinungsverlauf	2022-02
Umfang	p. 14856-14870.
Erscheinungsort	Springer Berlin Heidelberg
Dokumenttyp	Artikel
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-021-16632-1
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel: Does digital finance improve the green investment of Chinese listed heavily polluting companies? The perspective of corporate financialization

Jiang, Yalin / Guo, Chong / Wu, Yingyu

Environmental science and pollution research. 2022 Oct., v. 29, no. 47

2022

Abstract: While now appears appropriate to assert that digital finance can relieve firms’ financing constraints, the picture of whether it can improve enterprises’ green investment is much less clear. Using 2011–2019 data for Chinese listed heavily polluting (HP) ... ...

Abstract	While now appears appropriate to assert that digital finance can relieve firms’ financing constraints, the picture of whether it can improve enterprises’ green investment is much less clear. Using 2011–2019 data for Chinese listed heavily polluting (HP) enterprises, we examine the effects of digital finance on corporate green investment. Results show that digital finance impedes HP firms’ green investments, and this finding is robust to various tests, including the instrumental variable approach, exogenous shock, and alternative measures of variables. Additional tests reveal that digital finance increases firms’ financial investment, which crowds out green investment. Also, this inhibitory impact varies with firms’ geographical location, industry characteristics, and the implementation of the new Environmental Protection Law. The findings of this study provide new perspectives on digital finance by identifying its negative impact on the corporate green environment. We also propose corresponding policy recommendations, including strengthening the regulation and guidance of digital finance development, reducing monopolies in the financial sector, and formulating differentiated environmental policies.
Schlagwörter	economic investment ; environmental protection ; finance ; industry ; issues and policy ; pollution ; research
Sprache	Englisch
Erscheinungsverlauf	2022-10
Umfang	p. 71047-71063.
Erscheinungsort	Springer Berlin Heidelberg
Dokumenttyp	Artikel
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-20803-z
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel ; Online: Intelligent Vehicle Decision-Making and Trajectory Planning Method Based on Deep Reinforcement Learning in the Frenet Space.

Wang, Jiawei / Chu, Liang / Zhang, Yao / Mao, Yabin / Guo, Chong

Sensors (Basel, Switzerland)

2023 Band 23, Heft 24

Abstract: The complexity inherent in navigating intricate traffic environments poses substantial hurdles for intelligent driving technology. The continual progress in mapping and sensor technologies has equipped vehicles with the capability to intricately perceive ...

Abstract	The complexity inherent in navigating intricate traffic environments poses substantial hurdles for intelligent driving technology. The continual progress in mapping and sensor technologies has equipped vehicles with the capability to intricately perceive their exact position and the intricate interplay among surrounding traffic elements. Building upon this foundation, this paper introduces a deep reinforcement learning method to solve the decision-making and trajectory planning problem of intelligent vehicles. The method employs a deep learning framework for feature extraction, utilizing a grid map generated from a blend of static environmental markers such as road centerlines and lane demarcations, in addition to dynamic environmental cues including vehicle positions across varied lanes, all harmonized within the Frenet coordinate system. The grid map serves as the input for the state space, and the input for the action space comprises a vector encompassing lane change timing, velocity, and vertical displacement at the lane change endpoint. To optimize the action strategy, a reinforcement learning approach is employed. The feasibility, stability, and efficiency of the proposed method are substantiated via experiments conducted in the CARLA simulator across diverse driving scenarios, and the proposed method can increase the average success rate of lane change by 6.8% and 13.1% compared with the traditional planning control algorithm and the simple reinforcement learning method.
Sprache	Englisch
Erscheinungsdatum	2023-12-14
Erscheinungsland	Switzerland
Dokumenttyp	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23249819
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Trends in cognitive function before and after stroke in China.

Hua, Jianian / Dong, Jianye / Chen, Guo-Chong / Shen, Yueping

BMC medicine

2023 Band 21, Heft 1, Seite(n) 204

Abstract: Background: While cognitive impairment after stroke is common, cognitive trends before stroke are poorly understood, especially among the Chinese population who have a relatively high stroke burden. We aimed to model the trajectories of cognitive ... ...

Abstract	Background: While cognitive impairment after stroke is common, cognitive trends before stroke are poorly understood, especially among the Chinese population who have a relatively high stroke burden. We aimed to model the trajectories of cognitive function before and after new-onset stroke among Chinese. Methods: A total of 13,311 Chinese participants aged ≥ 45 years and without a history of stroke were assessed at baseline between June 2011 and March 2012 and in at least one cognitive test between 2013 (wave 2) and 2018 (wave 4). Cognitive function was assessed using a global cognition score, which included episodic memory, visuospatial abilities, and a 10-item Telephone Interview of Cognitive Status (TICS-10) test to reflect calculation, attention, and orientation abilities. Results: During the 7-year follow-up, 610 (4.6%) participants experienced a first stroke. Both stroke and non-stroke groups showed declined cognitive function during follow-up. After adjustment for covariates, there was no significant difference in pre-stroke cognitive trajectories between stroke patients and stroke-free participants. The stroke group showed an acute decline in episodic memory (- 0.123 SD), visuospatial abilities (- 0.169 SD), and global cognition (- 0.135 SD) after stroke onset. In the years following stroke, the decline rate of the TICS-10 test was higher than the rate before stroke (- 0.045 SD/year). Conclusions: Chinese stroke patients had not experienced steeper declines in cognition before stroke compared with stroke-free individuals. Incident stroke was associated with acute declines in global cognition, episodic memory, visuospatial abilities, and accelerated declines in calculation, attention, and orientation abilities.
Mesh-Begriff(e)	Humans ; Longitudinal Studies ; Cognition ; Stroke/complications ; Stroke/epidemiology ; Stroke/psychology ; Cognitive Dysfunction/diagnosis ; Cognitive Dysfunction/epidemiology ; Neuropsychological Tests ; China/epidemiology
Sprache	Englisch
Erscheinungsdatum	2023-06-06
Erscheinungsland	England
Dokumenttyp	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2131669-7
ISSN	1741-7015 ; 1741-7015
ISSN (online)	1741-7015
ISSN	1741-7015
DOI	10.1186/s12916-023-02908-5
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Reply.

Li, Fu-Rong / Chen, Guo-Chong / Wu, Xian-Bo

Journal of hypertension

2022 Band 40, Heft 2, Seite(n) 410–411

Sprache	Englisch
Erscheinungsdatum	2022-01-06
Erscheinungsland	England
Dokumenttyp	Letter ; Comment
ZDB-ID	605532-1
ISSN	1473-5598 ; 0263-6352 ; 0952-1178
ISSN (online)	1473-5598
ISSN	0263-6352 ; 0952-1178
DOI	10.1097/HJH.0000000000003034
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Does digital finance improve the green investment of Chinese listed heavily polluting companies? The perspective of corporate financialization.

Jiang, Yalin / Guo, Chong / Wu, Yingyu

Environmental science and pollution research international

2022 Band 29, Heft 47, Seite(n) 71047–71063

Abstract: While now appears appropriate to assert that digital finance can relieve firms' financing constraints, the picture of whether it can improve enterprises' green investment is much less clear. Using 2011-2019 data for Chinese listed heavily polluting (HP) ... ...

Abstract	While now appears appropriate to assert that digital finance can relieve firms' financing constraints, the picture of whether it can improve enterprises' green investment is much less clear. Using 2011-2019 data for Chinese listed heavily polluting (HP) enterprises, we examine the effects of digital finance on corporate green investment. Results show that digital finance impedes HP firms' green investments, and this finding is robust to various tests, including the instrumental variable approach, exogenous shock, and alternative measures of variables. Additional tests reveal that digital finance increases firms' financial investment, which crowds out green investment. Also, this inhibitory impact varies with firms' geographical location, industry characteristics, and the implementation of the new Environmental Protection Law. The findings of this study provide new perspectives on digital finance by identifying its negative impact on the corporate green environment. We also propose corresponding policy recommendations, including strengthening the regulation and guidance of digital finance development, reducing monopolies in the financial sector, and formulating differentiated environmental policies.
Mesh-Begriff(e)	China ; Environmental Policy ; Industry ; Investments ; Organizations
Sprache	Englisch
Erscheinungsdatum	2022-05-20
Erscheinungsland	Germany
Dokumenttyp	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-20803-z
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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