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Article: Increasing proactive co-dispensing of take-home naloxone with prescription opioids at Ontario community pharmacies.

Qiu Hua Chen, Autumn

Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC

2022 Volume 155, Issue 4, Page(s) 192–193

Language	English
Publishing date	2022-06-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	2200008-2
ISSN	1913-701X ; 1715-1635
ISSN (online)	1913-701X
ISSN	1715-1635
DOI	10.1177/17151635221102415
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Article ; Online: Dust impacts on Mongolian cyclone and cold front in East Asia

Jing Li / Shu-Hua Chen

Frontiers in Environmental Science, Vol

a case study during 18–22 March 2010

2023 Volume 11

Abstract: The Gobi Desert in East Asia experiences dust outbreaks during the spring, which are often caused by high winds associated with Mongolian cyclones. The radiative forcing that arises from dust aerosols could affect the intensity and movement of Mongolian ... ...

Abstract	The Gobi Desert in East Asia experiences dust outbreaks during the spring, which are often caused by high winds associated with Mongolian cyclones. The radiative forcing that arises from dust aerosols could affect the intensity and movement of Mongolian cyclones and cold fronts. A case study on a Mongolian cyclone that occurred during 18–22 March 2010 in East Asia examines these factors using an atmosphere-dust coupled model. Our numerical results show that dust’s impact on the intensity of the cyclone and its cold front varies between day and night and depends on the relative position of the weather systems of interest to the dust plume, i.e., the edge or the main dust plume region. When the dust plume approaches the cold front, most of the dust is trapped behind the cold front at low levels, but a small amount of dust extends to the middle levels, thereby reaching the warm side of the middle-level front. As a result, dust weakens the intensity of the low-level front and intensifies the middle-level front during the daytime, modifying the cold front oppositely at night. On the other hand, dust influences the cyclone in two phases. During the first phase, the dust plume edge arrives at the center of the cyclone in the daytime and warms the region, slightly intensifying the cyclone. During the second phase, the major dust plume feeds into the cyclone center in the early morning. The net dust effect is negative, which cools the cyclone center and decreases or stops the intensification. Subsequently, the cyclone is taken over by a nearby cyclonic circulation downstream. The dust plume approaches the new cyclone center, which repeats a similar pattern of intensity change: intensifying and then leveling off. Our results show that dust has no apparent influence on the movement of the cyclone and its cold front for this case study.
Keywords	Mongolian cyclone ; cold front ; dust radiative forcing ; WRF-Dust model ; Gobi Desert ; Environmental sciences ; GE1-350
Subject code	520
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Computational Approach for Modeling the Allele Frequency Spectrum of Populations with Arbitrarily Varying Size

Hua Chen

Genomics, Proteomics & Bioinformatics, Vol 17, Iss 6, Pp 635-

2019 Volume 644

Abstract: The allele frequency spectrum (AFS), or site frequency spectrum, is commonly used to summarize the genomic polymorphism pattern of a sample, which is informative for inferring population history and detecting natural selection. In 2013, Chen and Chen ... ...

Abstract	The allele frequency spectrum (AFS), or site frequency spectrum, is commonly used to summarize the genomic polymorphism pattern of a sample, which is informative for inferring population history and detecting natural selection. In 2013, Chen and Chen developed a method for analytically deriving the AFS for populations with temporally varying size through the coalescence time-scaling function. However, their approach is only applicable to population history scenarios in which the analytical form of the time-scaling function is tractable. In this paper, we propose a computational approach to extend the method to populations with arbitrary complex varying size by numerically approximating the time-scaling function. We demonstrate the performance of the approach by constructing the AFS for two population history scenarios: the logistic growth model and the Gompertz growth model, for which the AFS are unavailable with existing approaches. Software for implementing the algorithm can be downloaded at http://chenlab.big.ac.cn/software/.
Keywords	Allele frequency spectrum ; Complex demography ; Population history ; Population genetic inference ; Coalescent ; Biology (General) ; QH301-705.5
Subject code	612
Language	English
Publishing date	2019-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Risk of aortic dissection or aneurysm in patients with gallstone disease

Chien-Hua Chen

BMJ Open, Vol 11, Iss

a retrospective cohort study in Taiwan

2021 Volume 8

Keywords	Medicine ; R
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	BMJ Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Risk predictors of glycaemic control in children and adolescents with type 1 diabetes: A systematic review and meta-analysis.

Gangqiang, Gao / Hua, Chen / Hongyu, Sun

Journal of clinical nursing

2024

Abstract: Objectives: To conduct systematic evaluation of the risk predictors of glycaemic control in children and adolescents with type 1 diabetes mellitus.: Methods: Cohort studies on risk predictors of glycaemic control in children and adolescents with type ...

Abstract	Objectives: To conduct systematic evaluation of the risk predictors of glycaemic control in children and adolescents with type 1 diabetes mellitus. Methods: Cohort studies on risk predictors of glycaemic control in children and adolescents with type 1 diabetes were retrieved from CNKI, PubMed, Web of Science, Embase databases, etc. from the construction of the repository to 3 February 2023. Literature screening was conducted according to inclusion and exclusion criteria, then data extraction of region, sample size, age, follow-up time, risk predictors, outcome indicators, etc., and quality evaluation of The Newcastle-Ottawa Scale were conducted by two researchers while the third researcher makes decisions if there are disagreements. Finally, Revman5.4 and StataMP17 were used for meta-analysis. Results: A total of 29 studies were included, and the results showed that insulin pump [Weighed mean difference (WMD) = -.48, 95% CI (-.73, -.24), p < .01], high-frequency sensor monitoring, early use of insulin pumps, prospective follow-up male, white race, large body mass index-standardised scoring, conscientiousness, agreeableness of mothers, eicosapentaenoic acid, leucine and protein (p < .05) were beneficial for reducing HbA1c levels in children and adolescents with diabetes. Ketoacidosis [WMD = .39, 95% CI (.28, .50), p < .01], selective admission, higher HbA1c level at one time (p < .01), higher glutamate decarboxylase antibody at 1 month after diagnosis, lower socio-economic status, non-living with biological parents, non-two-parent family, family disorder, family history of diabetes and high carbohydrate intake (p < .05) increased HbA1c levels in children and adolescents with diabetes. Conclusion: For children and adolescents with type 1 diabetes mellitus, the use of insulin pump, high-frequency sensor monitoring, prospective follow-up, good family support and reasonable diet are conducive to blood glucose control, while selective admission and DKA are not. Disease characteristics and demographic characteristics of children are closely related to subsequent blood glucose control, and the relationship between diagnosis age and blood glucose control needs to be further explored.
Language	English
Publishing date	2024-04-25
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	1159483-4
ISSN	1365-2702 ; 0962-1067 ; 1752-9816
ISSN (online)	1365-2702
ISSN	0962-1067 ; 1752-9816
DOI	10.1111/jocn.17110
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Article ; Online: Modeling and Simulation Research of Interactive Public Opinion Evolution under Multi-Agent Interventions

Hua Chen / Xinquan Zhao

Processes, Vol 10, Iss 1379, p

2022 Volume 1379

Abstract: To study the interactive impact and multi-agent intervention effect caused by multiple public opinion events, a SI3R interactive public opinion communication model is proposed in this paper. Based on interactive public opinion evolution and influence ... ...

Abstract	To study the interactive impact and multi-agent intervention effect caused by multiple public opinion events, a SI3R interactive public opinion communication model is proposed in this paper. Based on interactive public opinion evolution and influence paths of multi-agent interventions, the dynamic equation under multi-agent intervention is formulated; the equilibrium points of the model are calculated and the stability of the model is validated; and the assignment functions are constructed. Further, real data of the case study are obtained and set as initial model simulation parameters, the multi-agent intervention and control measures are numerically simulated and the effects of comprehensive public opinion control are obtained and put forward to suggestions for public opinion management. Simulation results show that the model can simulate the interactive propagation and evolution trend of multiple public opinion events, and imitate the intervention effect of each agent. Compared with the traditional transmission and infection model, it provides an assignment method combined with actual events. Taking the interaction of multiple public opinion events and the effect of multi-agent intervention into account, a new perspective for the formulation of public opinion supervision and control strategies can be provided.
Keywords	complex networks ; interactive public opinion ; multi-agent intervention ; assignment simulation ; control strategy ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
Subject code	629
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Review of Strategies for Resilience and Healthy Urban Living Environment under the Background of COVID-19 Pandemic

Roosmayri Lovina Hermaputi / Hua Chen

Jurnal Wilayah dan Lingkungan, Vol 10, Iss 2, Pp 126-

2022 Volume 150

Abstract: Since the COVID-19 pandemic strikes the global world, our cities are facing severe damage that affects all sectors of human life and their living environment, and it brings severe harm to humans physical and damaging impact on the urban economy and the ... ...

Abstract	Since the COVID-19 pandemic strikes the global world, our cities are facing severe damage that affects all sectors of human life and their living environment, and it brings severe harm to humans physical and damaging impact on the urban economy and the operation of the urban system. With higher population density, dense space, and polluted urban areas as the main battlefield for pandemics and becoming the epidemic epicenter, a greater risk of virus transmission is more significant, especially person-to-person infection. A living environment is an essential place for people to devour and change nature and entails the physical attributes and the reconciliation of human exercise, which has essential roles in preventing and controlling pandemics. Thus, this study proposes pandemic resilience and a healthy urban living environment as the suitable future urban living environment concept. Reviewing available published literature related to resilient and healthy urban living environment studies during COVID-19 pandemic becomes the only method applied in this study. Starts by reviewing the concept of the healthy and resilient urban living environment, presenting the experience of Chinese cities facing the pandemic, and providing the urban living environment's potential strategies reflecting healthy and resilience comprehensively through evaluating recent ideas and trends. It aims to answer the research question to find the potential strategies to create pandemic resilience and a healthy urban living environment.
Keywords	covid-19 pandemic ; healthy ; resilience ; strategies ; urban living environment ; Environmental sciences ; GE1-350 ; Regional planning ; HT390-395
Subject code	720
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	Diponegoro University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Intelligent algorithms for cold chain logistics distribution optimization based on big data cloud computing analysis

Yi-hua Chen

Journal of Cloud Computing: Advances, Systems and Applications, Vol 9, Iss 1, Pp 1-

2020 Volume 12

Abstract: Abstract In recent years, the rapid development of fresh food e-commerce in China has brought about more development opportunities for the cold chain logistics industry but has also presented new challenges. With the development of cloud computing and ... ...

Abstract	Abstract In recent years, the rapid development of fresh food e-commerce in China has brought about more development opportunities for the cold chain logistics industry but has also presented new challenges. With the development of cloud computing and big data technology, it is increasingly important to study the application of big data and cloud computing technology in cold chain logistics. The purpose of this paper is to study the intelligent algorithm of cold chain logistics distribution optimization based on big data cloud computing analysis. Based on the constituent elements of the cold chain distribution problem and using cloud computing technology to obtain real-time traffic information in the transportation system through a unified access interface, this article analyses the distribution time and cost of refrigerated vehicles, thereby establishing a cold chain distribution vehicle path optimization model. By analysing the parallel programming mode of cloud computing, the parallel design and analysis of a coarse-grained genetic algorithm are used to solve the simulation model of the established optimization model. The experimental results show that the method of optimizing cold chain logistics vehicle routing using cloud computing is effective. When comparing 1, 2, 4, and 8 processors, the execution times are 19.89, 14.52, 8.12, and 6.41, respectively. It can be seen that the more processors there are, the shorter the calculation time.
Keywords	Big data ; Cloud computing ; Cold chain logistics ; Distribution optimization ; Computer engineering. Computer hardware ; TK7885-7895 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	380
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers

Nai-Hua Chen

Sustainability, Vol 12, Iss 9571, p

2020 Volume 9571

Abstract: Climate change is a significant challenge for the international community. A significant part of addressing this challenge involves informing people about climate change to try and change behavior. Organizations like Technology, Entertainment, and Design ...

Abstract	Climate change is a significant challenge for the international community. A significant part of addressing this challenge involves informing people about climate change to try and change behavior. Organizations like Technology, Entertainment, and Design (TED) use social media as a means of disseminating information about the complexities of climate science. In this study, we investigate viewers’ responses to 50 TED videos associated with climate change that are posted on YouTube. We elucidate the opinions of both speakers and viewers through sentiment analysis of 59,023 comments and negative binomial regression techniques of viewers’ reactions. The most frequently mentioned keywords are emission, temperature, environment, nature, renewable energy, and economics. The top three emotions evoked by reviewer are trust, fear, and anticipation. The issue of economics is largely responsible for triggering these emotional responses.
Keywords	climate change ; TED videos ; hierarchical negative binomial regression ; sentiment analysis ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Postharvest bacterial succession on cut flowers and vase water.

Yen-Hua Chen / William B Miller / Anthony Hay

PLoS ONE, Vol 18, Iss 10, p e

2023 Volume 0292537

Abstract: In cut flowers, xylem occlusion or blockage by bacteria negatively affects water balance and postharvest quality. Many studies have used culture-based methods to examine bacterial populations in vase water and their effects on flower longevity. It is ... ...

Abstract	In cut flowers, xylem occlusion or blockage by bacteria negatively affects water balance and postharvest quality. Many studies have used culture-based methods to examine bacterial populations in vase water and their effects on flower longevity. It is still unclear if and how bacterial communities at the 16S rRNA gene (16S) level change during the vase period and how such change might correlate with postharvest longevity. This study compared the sequences of 16S amplicons from 4 different types of flowers and their vase water over the course of 7 days (Rosa spp., Gerbera jamesonii, and two Lilium varieties). The relative abundance of plant chloroplast and mitochondria 16S decreased significantly over the course 7 days in all 4 flowers as bacterial diversity increased. Richness and evenness of the bacterial communities increased over time, as did the number of rare taxa and phylogenetic diversity. Bacterial communities varied with time, as well as by flower source, types, and sample location (water, stem surface, whole stem). Some taxa, such as Enterobacteriacea and Bradyhizobiaceae decreased significantly over time while others such as Pseudomonas spp. increased. For example, Pseudomonas veronii, implicated in soft rot of calla lily, increased in both whole stem samples and water samples from Gerbera jamesonii. Erwinia spp., which includes plant pathogenic species, also increased in water samples. This work highlights the dynamic and complex nature of bacterial succession in the flower vase ecosystem. More work is needed to understand if and how bacterial community structure can be managed to improve cut flower vase life.
Keywords	Medicine ; R ; Science ; Q
Subject code	580
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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