16 results on '"Yue, Xiaomei"'
Search Results
2. Functional connectivity density aberrance in type 2 diabetes mellitus with and without mild cognitive impairment
- Author
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Ge, Limin, primary, Cao, Zidong, additional, Sun, Zhizhong, additional, Yue, Xiaomei, additional, Rao, Yawen, additional, Zhao, Kui, additional, Qiu, Wenbin, additional, Li, Yifan, additional, Lu, Weiye, additional, and Qiu, Shijun, additional
- Published
- 2024
- Full Text
- View/download PDF
3. Postmortem Sampling in Piglet Populations: Unveiling Specimens Accuracy for Porcine Reproductive and Respiratory Syndrome Detection.
- Author
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Kikuti, Mariana, Melini, Claudio Marcello, Yue, Xiaomei, Culhane, Marie, and Corzo, Cesar A.
- Subjects
PORCINE reproductive & respiratory syndrome ,WATCHFUL waiting ,AUTOPSY ,LYMPH nodes ,PIGLETS - Abstract
Specimens collected from dead pigs are a welfare-friendly and cost-effective active surveillance. This study aimed to evaluate the accuracy of different postmortem specimens from dead piglets for disease detection, using PRRSV as an example. Three farrow-to-wean farms undergoing PRRSV elimination were conveniently selected. Samples were collected at approximately 8- and 20-weeks post-outbreak. Postmortem specimens included nasal (NS), oral (OS), and rectal (RS) swabs, tongue-tip fluids (TTF), superficial inguinal lymph nodes (SIL), and intracardiac blood. These were tested individually for PRRSV by RT-PCR. Sensitivity, specificity, negative and positive predictive values, and agreement of postmortem specimens were calculated using intracardiac sera as the gold standard. OS and SIL had the best overall performance, with sensitivities of 94.6–100%, specificities of 83.9–85.1%, and negative predictive values of 97.3–100%. TTF had high sensitivity (92.2%) but low specificity (53.9%) and positive predictive value (48.3%). While challenges in meeting sampling targets due to variable pre-weaning mortality were noted, PRRS was detected in all postmortem specimens. OS and NS showed promising results for disease monitoring, though TTF, despite their sensitivity, had lower specificity, making them less suitable for individual infection assessment but useful for assessing environmental contamination. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. Altered cortical thickness, degree centrality, and functional connectivity in middle-age type 2 diabetes mellitus
- Author
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Kang, Shangyu, primary, Chen, Yuna, additional, Wu, Jinjian, additional, Liang, Yi, additional, Rao, Yawen, additional, Yue, Xiaomei, additional, Lyu, Wenjiao, additional, Li, Yifan, additional, Tan, Xin, additional, Huang, Haoming, additional, and Qiu, Shijun, additional
- Published
- 2022
- Full Text
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5. Cortical gray matter microstructural alterations in patients with type 2 diabetes mellitus
- Author
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Huang, Haoming, primary, Ma, Xiaomeng, additional, Yue, Xiaomei, additional, Kang, Shangyu, additional, Rao, Yawen, additional, Long, Wenjie, additional, Liang, Yi, additional, Li, Yifan, additional, Chen, Yuna, additional, Lyu, Wenjiao, additional, Wu, Jinjian, additional, Tan, Xin, additional, and Qiu, Shijun, additional
- Published
- 2022
- Full Text
- View/download PDF
6. Brain Activities Responding to Acupuncture at ST36 (zusanli) in Healthy Subjects: A Systematic Review and Meta-Analysis of Task-Based fMRI Studies
- Author
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Huang, Haoming, primary, Yue, Xiaomei, additional, Huang, Xi, additional, Long, Wenjie, additional, Kang, Shangyu, additional, Rao, Yawen, additional, Zeng, Jingchun, additional, Zuo, Junling, additional, Wang, Lin, additional, Li, Hongjuan, additional, Wang, Yeqing, additional, Qiu, Shijun, additional, and Zhao, Weixuan, additional
- Published
- 2022
- Full Text
- View/download PDF
7. Convolutional Neural Networks for Classification of T2DM Cognitive Impairment Based on Whole Brain Structural Features
- Author
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Tan, Xin, primary, Wu, Jinjian, additional, Ma, Xiaomeng, additional, Kang, Shangyu, additional, Yue, Xiaomei, additional, Rao, Yawen, additional, Li, Yifan, additional, Huang, Haoming, additional, Chen, Yuna, additional, Lyu, Wenjiao, additional, Qin, Chunhong, additional, Li, Mingrui, additional, Feng, Yue, additional, Liang, Yi, additional, and Qiu, Shijun, additional
- Published
- 2022
- Full Text
- View/download PDF
8. Estimating the Effect of a Bovine Viral Diarrhea Virus Control Program: An Empirical Study on the Performance of Dutch Dairy Herds
- Author
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Yue, Xiaomei, primary, Wu, Jingyi, additional, van der Voort, Mariska, additional, Steeneveld, Wilma, additional, and Hogeveen, Henk, additional
- Published
- 2022
- Full Text
- View/download PDF
9. Economic and production effects of bovine viral diarrhoea : Insights from dairy systems with and without control
- Author
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Yue, Xiaomei, Wageningen University, H. Hogeveen, M. van der Voort, and W. Steeneveld
- Subjects
Business Economics ,Bedrijfseconomie ,Life Science ,WASS - Abstract
Bovine viral diarrhoea (BVD) is a viral cattle disease that presents in most cattle-raising countries worldwide and is listed by the World Organisation for Animal Health as a notifiable disease. Infection of bovine viral diarrhoea virus (BVDV) negatively effects the production and economic performance of the dairy herds. Many countries and regions developed BVDV control or eradication programmes and are at different stages of BVDV control. Therefore, information required for decision making in these countries is different. The overall objective of this thesis was to determine the effects of BVDV infection on the production and economic performance of dairy herds in order to support decision making in countries with and without a systematic BVDV control programme. A systematic BVDV control programme is identified by three central elements: biosecurity, elimination of PI animals and surveillance, as opposed to control attempts without clear objectives and monitoring to assess progress. The Netherlands and China were studied as countries with and without a systematic BVDV control programme, respectively. This thesis covers methodologies from different scientific disciplines including veterinary epidemiology, economics, bio-economic simulation model. The results of this thesis showed that 1) participating in the BVDV control programme at the final stage did not significantly affect the production and economic performance of the herd; 2) The new introduction of BVDV had a negative, but on average a relatively small, effect on milk production, somatic cell count and calf mortality rate in BVDV-free herds participating in the Dutch BVDV-free programme; 3) The within-herd seroprevalence of BVDV in 3 large commercial dairy herds in North China was very high, ranging between 96.3% and 100.0%; and 4) BVDV introduction in a large-scale Chinese dairy herd caused large production and economic losses
- Published
- 2022
10. Novel Process Methods for the Whole Cottonseed: Effect on the Digestibility, Productivity, Fat Profile, and Milk Gossypol Levels in Lactating Dairy Cows
- Author
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Sun, Xiaoge, primary, Su, Yitong, additional, Hao, Yangyi, additional, Zhang, Jun, additional, Yue, Xiaomei, additional, Wang, Wei, additional, Ma, Zhu, additional, Chu, Kangkang, additional, Wang, Shuang, additional, Wang, Yajing, additional, and Li, Shengli, additional
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- 2022
- Full Text
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11. The effect of new bovine viral diarrhea virus introduction on somatic cell count, calving interval, culling, and calf mortality of dairy herds in the Dutch bovine viral diarrhea virus–free program
- Author
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Yue, Xiaomei, Voort, Mariska van der, Steeneveld, Wilma, Schaik, Gerdien van, Vernooij, Johannes C.M., Duijn, Linda van, Hogeveen, Henk, FAH Evidence based Veterinary Medicine, dFAH AVR, FAH Evidence based Veterinary Medicine, and dFAH AVR
- Subjects
Diarrhea ,Veterinary medicine ,viruses ,animal diseases ,Bedrijfseconomie ,Cattle Diseases ,Cell Count ,WASS ,Culling ,Biology ,Virus ,Herd immunity ,03 medical and health sciences ,Business Economics ,Calving interval ,Taverne ,Genetics ,Animals ,control program ,Viral diarrhea ,030304 developmental biology ,calving interval ,0303 health sciences ,culling ,Diarrhea Viruses, Bovine Viral ,somatic cell count ,Diarrhea Virus 1, Bovine Viral ,0402 animal and dairy science ,virus diseases ,04 agricultural and veterinary sciences ,040201 dairy & animal science ,bovine viral diarrhea virus ,Herd ,Bovine Virus Diarrhea-Mucosal Disease ,Cattle ,Female ,Calf mortality ,Animal Science and Zoology ,Somatic cell count ,Food Science - Abstract
Bovine viral diarrhea virus (BVDV) infection has a major effect on the health of cows and consequently on herd performance. Many countries have implemented control or eradication programs to mitigate BVDV infection and its negative effects. These negative effects of BVDV infection on dairy herds are well documented, but there is much less information about the effects of new introduction of BVDV on dairy herds already participating in a BVDV control program. The objective of our study was to investigate the effect of a new BVDV introduction in BVDV-free herds participating in the Dutch BVDV-free program on herd performance. Longitudinal herd-level surveillance data were combined with herd information data to create 4 unique data sets, including a monthly test-day somatic cell count (SCC) data set, annual calving interval (CIV) and culling risk (CR) data sets, and a quarterly calf mortality rate (CMR) data set. Each database contained 2 types of herds: herds that remained BVDV free during the whole study period (defined as free herds), and herds that lost their BVDV-free status during the study period (defined as breakdown herds). The date of losing the BVDV-free status was defined as breakdown date. To compare breakdown herds with free herds, a random breakdown date was artificially generated for free herds by simple random sampling from the distribution of the breakdown month of the breakdown herds. The SCC and CIV before and after a new introduction of BVDV were compared through linear mixed-effects models with a Gaussian distribution, and the CR and CMR were modeled using a negative binomial distribution in generalized linear mixed-effects models. The explanatory variables for all models included herd type, BVDV status, year, and a random herd effect. Herd size was included as an explanatory variable in the SCC, CIV, and CMR model. Season was included as an explanatory variable in the SCC and CMR model. Results showed that free herds have lower SCC, CR, CMR, and shorter CIV than the breakdown herds. Within the breakdown herds, the new BVDV introduction affected the SCC and CMR. In the year after BVDV introduction, the SCC was higher than that in the year before BVDV introduction, with a factor of 1.011 [2.5th to 97.5th percentile (95% PCTL): 1.002, 1.020]. Compared with the year before BVDV breakdown, the CMR in the year of breakdown and the year after breakdown was higher, with factors of 1.170 (95% PCTL: 1.120; 1.218) and 1.096 (95% PCTL: 1.048; 1.153), respectively. This study reveals that a new introduction of BVDV had a negative but on average relatively small effect on herd performance in herds participating in a BVDV control program.
- Published
- 2021
12. The effect of bovine viral diarrhea virus introduction on milk production of Dutch dairy herds
- Author
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Yue, Xiaomei, Steeneveld, Wilma, van der Voort, Mariska, van Schaik, Gerdien, Vernooij, Johannes C.M., van Duijn, Linda, Veldhuis, Anouk M.B., Hogeveen, Henk, FAH Evidence based Veterinary Medicine, dFAH AVR, FAH veterinaire epidemiologie, Dep Gezondheidszorg Landbouwhuisdieren, FAH Evidence based Veterinary Medicine, dFAH AVR, FAH veterinaire epidemiologie, and Dep Gezondheidszorg Landbouwhuisdieren
- Subjects
Yield (finance) ,viruses ,animal diseases ,Bedrijfseconomie ,WASS ,Biology ,Antibodies, Viral ,Virus ,Herd immunity ,03 medical and health sciences ,bovine viral diarrhea virus introduction ,Animal science ,Milk yield ,Business Economics ,Genetics ,Animals ,control program ,milk production ,Viral diarrhea ,030304 developmental biology ,0303 health sciences ,Diarrhea Viruses, Bovine Viral ,Dairy herds ,0402 animal and dairy science ,virus diseases ,04 agricultural and veterinary sciences ,Milk production ,040201 dairy & animal science ,Dairying ,Milk ,bovine viral diarrhea virus ,Herd ,Bovine Virus Diarrhea-Mucosal Disease ,Cattle ,Female ,Animal Science and Zoology ,Food Science - Abstract
Dairy cows are negatively affected by the introduction of bovine viral diarrhea virus (BVDV), and consequently, produce less milk. Existing literature on potential milk production losses is based on relatively outdated data and hardly evaluates milk production loss in relation to a new BVDV infection in a surveillance system. This study determined the annual and quarterly loss in milk production of BVDV introduction in 3,126 dairy herds participating in the Dutch BVDV-free program between 2007 and 2017. Among these herds, 640 were "breakdown-herds" that obtained and subsequently lost their BVDV-free status during the study period, and 2,486 herds obtained and retained their BVDV-free status during the study period. Milk yields before and after BVDV introduction were compared through annual and quarterly linear mixed models. The fixed variables for both models included herd type (breakdown-herd or free-herd), bovine viral diarrhea status (on an annual and quarterly basis), year, season, and a random herd effect. The dependent variable was the average daily milk yield on the test day. To define the possible BVDV-introduction dates, 4 scenarios were developed. In the default scenario, the date of breakdown (i.e., loss of the BVDV-free status) was assumed as the BVDV-introduction date. For the other 3 scenarios, the BVDV-introduction dates were set at 4, 6, and 9 mo before the date of breakdown, based on the estimated birth date of a persistently infected calf. In the default scenario, the loss in milk yield due to BVDV introduction occurred mainly in the first year after breakdown, with a reduction in yield of 0.08 kg/cow per day compared with the last year before breakdown. For the other 3 scenarios, the greatest yield reduction occurred in the second year after BVDV introduction, with a loss of 0.09, 0.09, and 0.1 kg/cow per day, respectively. For the first 4 quarters after BVDV introduction in the default scenario, milk yield loss was 0.14, 0.09, 0.02, and 0.08 kg/cow per day, respectively. These quarterly results indicated that milk yield loss was greatest in the first quarter after BVDV introduction. Overall, BVDV introduction had a negative, but on average a relatively small, effect on milk yield for herds participating in the BVDV-free program. This study will enable dairy farmers and policymakers to have a clearer understanding of the quantitative milk production effect of BVDV on dairy farms in a control program.
- Published
- 2021
13. Feed Types Driven Differentiation of Microbial Community and Functionality in Marine Integrated Multitrophic Aquaculture System
- Author
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Deng, Yale, primary, Zhou, Fan, additional, Ruan, Yunjie, additional, Ma, Bin, additional, Ding, Xueyan, additional, Yue, Xiaomei, additional, Ma, Wenjun, additional, and Yin, Xuwang, additional
- Published
- 2019
- Full Text
- View/download PDF
14. Feed Types Driven Differentiation of Microbial Community and Functionality in Marine Integrated Multitrophic Aquaculture System.
- Author
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Deng, Yale, Zhou, Fan, Ruan, Yunjie, Ma, Bin, Ding, Xueyan, Yue, Xiaomei, Ma, Wenjun, and Yin, Xuwang
- Subjects
MARINE sediments ,WATER quality ,AQUACULTURE ,NUTRIENT cycles ,MICROBIAL diversity ,MICROBIAL communities ,NITROGEN fixation - Abstract
Integrated multi trophic aquaculture (IMTA) improves the production of aquatic animals by promoting nutrient utilization through different tropical levels. Microorganisms play an important role in elements cycling, energy flow and farmed-species health. The aim of this study was to evaluate how feed types, fresh frozen fish diet (FFD) or formulated diet (FD), influence the microbial community diversity and functionality in both water and sediment in a marine IMTA system. Preferable water quality, higher animal yields and higher cost efficiency were achieved in the FD pond. Feed types changed the pond bacterial community distribution, especially in the rearing water. The FFD pond was dominated with Cyanobacteria in the water, which played an important role in nitrogen fixation through photosynthesis due to the high nitrogen input of the frozen fish diet. The high carbohydrate composition in the formulated diet triggered higher metabolic pathways related to carbon and lipid metabolism in the water of the FD pond. Sediment had significantly higher microbial diversity than the rearing water. In sediment, the dominating genus, Sulfurovum and Desulfobulbus, were found to be positively correlated by network analysis, which had similar functionality in sulfur transformation. The relatively higher rates of antibiotic biosynthesis in the FFD sediment might be related to the pathogenic bacteria introduced by the trash fish diet. The difference in microbial community composition and metabolic pathways may be associated with the different pathways for nutrient cycling and animal growth performance. The formulated diet was determined to be more ecologically and economically sustainable than the frozen fish diet for marine IMTA pond systems. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
15. The effect of new bovine viral diarrhea virus introduction on somatic cell count, calving interval, culling, and calf mortality of dairy herds in the Dutch bovine viral diarrhea virus-free program.
- Author
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Yue X, van der Voort M, Steeneveld W, van Schaik G, Vernooij JCM, van Duijn L, and Hogeveen H
- Subjects
- Animals, Cattle, Cell Count veterinary, Diarrhea veterinary, Female, Bovine Virus Diarrhea-Mucosal Disease prevention & control, Cattle Diseases, Diarrhea Virus 1, Bovine Viral, Diarrhea Viruses, Bovine Viral
- Abstract
Bovine viral diarrhea virus (BVDV) infection has a major effect on the health of cows and consequently on herd performance. Many countries have implemented control or eradication programs to mitigate BVDV infection and its negative effects. These negative effects of BVDV infection on dairy herds are well documented, but there is much less information about the effects of new introduction of BVDV on dairy herds already participating in a BVDV control program. The objective of our study was to investigate the effect of a new BVDV introduction in BVDV-free herds participating in the Dutch BVDV-free program on herd performance. Longitudinal herd-level surveillance data were combined with herd information data to create 4 unique data sets, including a monthly test-day somatic cell count (SCC) data set, annual calving interval (CIV) and culling risk (CR) data sets, and a quarterly calf mortality rate (CMR) data set. Each database contained 2 types of herds: herds that remained BVDV free during the whole study period (defined as free herds), and herds that lost their BVDV-free status during the study period (defined as breakdown herds). The date of losing the BVDV-free status was defined as breakdown date. To compare breakdown herds with free herds, a random breakdown date was artificially generated for free herds by simple random sampling from the distribution of the breakdown month of the breakdown herds. The SCC and CIV before and after a new introduction of BVDV were compared through linear mixed-effects models with a Gaussian distribution, and the CR and CMR were modeled using a negative binomial distribution in generalized linear mixed-effects models. The explanatory variables for all models included herd type, BVDV status, year, and a random herd effect. Herd size was included as an explanatory variable in the SCC, CIV, and CMR model. Season was included as an explanatory variable in the SCC and CMR model. Results showed that free herds have lower SCC, CR, CMR, and shorter CIV than the breakdown herds. Within the breakdown herds, the new BVDV introduction affected the SCC and CMR. In the year after BVDV introduction, the SCC was higher than that in the year before BVDV introduction, with a factor of 1.011 [2.5th to 97.5th percentile (95% PCTL): 1.002, 1.020]. Compared with the year before BVDV breakdown, the CMR in the year of breakdown and the year after breakdown was higher, with factors of 1.170 (95% PCTL: 1.120; 1.218) and 1.096 (95% PCTL: 1.048; 1.153), respectively. This study reveals that a new introduction of BVDV had a negative but on average relatively small effect on herd performance in herds participating in a BVDV control program., (Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
16. The effect of bovine viral diarrhea virus introduction on milk production of Dutch dairy herds.
- Author
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Yue X, Steeneveld W, van der Voort M, van Schaik G, Vernooij JCM, van Duijn L, Veldhuis AMB, and Hogeveen H
- Subjects
- Animals, Antibodies, Viral, Bovine Virus Diarrhea-Mucosal Disease epidemiology, Cattle, Dairying, Female, Bovine Virus Diarrhea-Mucosal Disease physiopathology, Diarrhea Viruses, Bovine Viral, Milk
- Abstract
Dairy cows are negatively affected by the introduction of bovine viral diarrhea virus (BVDV), and consequently, produce less milk. Existing literature on potential milk production losses is based on relatively outdated data and hardly evaluates milk production loss in relation to a new BVDV infection in a surveillance system. This study determined the annual and quarterly loss in milk production of BVDV introduction in 3,126 dairy herds participating in the Dutch BVDV-free program between 2007 and 2017. Among these herds, 640 were "breakdown-herds" that obtained and subsequently lost their BVDV-free status during the study period, and 2,486 herds obtained and retained their BVDV-free status during the study period. Milk yields before and after BVDV introduction were compared through annual and quarterly linear mixed models. The fixed variables for both models included herd type (breakdown-herd or free-herd), bovine viral diarrhea status (on an annual and quarterly basis), year, season, and a random herd effect. The dependent variable was the average daily milk yield on the test day. To define the possible BVDV-introduction dates, 4 scenarios were developed. In the default scenario, the date of breakdown (i.e., loss of the BVDV-free status) was assumed as the BVDV-introduction date. For the other 3 scenarios, the BVDV-introduction dates were set at 4, 6, and 9 mo before the date of breakdown, based on the estimated birth date of a persistently infected calf. In the default scenario, the loss in milk yield due to BVDV introduction occurred mainly in the first year after breakdown, with a reduction in yield of 0.08 kg/cow per day compared with the last year before breakdown. For the other 3 scenarios, the greatest yield reduction occurred in the second year after BVDV introduction, with a loss of 0.09, 0.09, and 0.1 kg/cow per day, respectively. For the first 4 quarters after BVDV introduction in the default scenario, milk yield loss was 0.14, 0.09, 0.02, and 0.08 kg/cow per day, respectively. These quarterly results indicated that milk yield loss was greatest in the first quarter after BVDV introduction. Overall, BVDV introduction had a negative, but on average a relatively small, effect on milk yield for herds participating in the BVDV-free program. This study will enable dairy farmers and policymakers to have a clearer understanding of the quantitative milk production effect of BVDV on dairy farms in a control program., (The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).)
- Published
- 2021
- Full Text
- View/download PDF
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