GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Plant Science Vol. 13 ( 2022-11-14)
    In: Frontiers in Plant Science, Frontiers Media SA, Vol. 13 ( 2022-11-14)
    Abstract: Nut fruits likely played a significant role before and during the origin of agriculture; however, relatively little research conducted on the morphological characteristics and statistical comparisons of nut fruit starch granule hinders the progress of paleodietary analysis of prehistorical society. For better species identification of starch granule remaining on tools discovered at archaeological sites, it is desirable to develop a more abundant morphology database of modern nut fruit starch granules as well as the establishment of relevant identification standards. Therefore, nuts from 40 species in four genera ( Quercus , Lithocarpus , Castanea , and Castanopsis ) of Fagaceae were collected from South China for statistical measurement and comparative analysis. Starch granules are highly accumulated in 34 species except for 6 species, whose shapes involve oval, subcircular, drop-shaped, rounded triangle, polygonal, spherical caps, and bell-shaped types, or a combination of several types, and the average length is between 10 and 20 μm. According to research on Quercus phylogeny relationships, it was found that the species in the same infragenious section produce similar morphological characteristics of starch granules. The result was applied in the identification of starch granules extracted from stone tools from the 20 to 10 ka cultural layer of Xiaodong Rockshelter, and some starch granules can be recognized to species level, revealing that nuts from Quercus and Lithocarpus were gathered and exploited by ancient people. This expansion of modern starch presentation and comparison of nuts helps to improve the accuracy of the identification of ancient starch and deepen the understanding of plant utilization of ancient humans.
    Type of Medium: Online Resource
    ISSN: 1664-462X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2687947-5
    detail.hit.zdb_id: 2613694-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Chemical Engineering Journal, Elsevier BV, Vol. 292 ( 2016-05), p. 190-198
    Type of Medium: Online Resource
    ISSN: 1385-8947
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 241367-X
    detail.hit.zdb_id: 2012137-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Japanese Society of Internal Medicine ; 2013
    In:  Internal Medicine Vol. 52, No. 4 ( 2013), p. 463-465
    In: Internal Medicine, Japanese Society of Internal Medicine, Vol. 52, No. 4 ( 2013), p. 463-465
    Type of Medium: Online Resource
    ISSN: 0918-2918 , 1349-7235
    RVK:
    Language: English
    Publisher: Japanese Society of Internal Medicine
    Publication Date: 2013
    detail.hit.zdb_id: 2202453-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    MDPI AG ; 2023
    In:  Remote Sensing Vol. 15, No. 5 ( 2023-03-03), p. 1438-
    In: Remote Sensing, MDPI AG, Vol. 15, No. 5 ( 2023-03-03), p. 1438-
    Abstract: Effects of landscape patterns or topographic features on the river water environment have been broadly studied to control non-point source (NPS) pollution and to cut off potential pathways for pollutants to affect human health. However, spatio-temporal dynamics and scale effects with respect to the impact of landscape patterns and topographic features on the aquatic environment over successive years have not been elucidated. In this study, water quality parameters and land cover data for three consecutive years mainly in Tangshan City, located in the northeast of the Haihe River Basin, China, were obtained to determine the associations between landscape patterns and topographic features with the water environment. Results indicated that seasonal differences in dissolved oxygen (DO) and total nitrogen (TN) were significant (p 〈 0.001), and spatial variation was generally observed for each water quality parameter. Redundancy analysis revealed that landscape patterns and topographic features have different impacts on the aquatic environment as seasonal spans and spatial scales change. Overall, the best explanatory variables explained an average of 58.6% of the variation in water quality at various spatial scales over the two seasons. Topographic features made a greater contribution to river water quality changes at the buffer scale; conversely, at the catchment scale, water quality changes stemmed primarily from differences in landscape composition and configuration. The landscape shape index of cropland (LSIcrop) was an important factor influencing seasonal river water quality changes at various spatial scales. These results suggest that considering landscape connectivity at distinct spatial scales could enhance the understanding of the alteration of hydrological processes across multiple topographic features, which in turn has an impact on seasonal river water.
    Type of Medium: Online Resource
    ISSN: 2072-4292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2513863-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Frontiers Media SA ; 2023
    In:  Frontiers in Medicine Vol. 10 ( 2023-1-30)
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 10 ( 2023-1-30)
    Abstract: This study aimed to clarify the relationship between liver fibrosis scores (Fibrosis-4, BARD score, and BAAT score) and chronic kidney disease (CKD). Methods We collected a range of data from 11,503 subjects (5,326 men and 6,177 women) from the rural regions of Northeastern China. Three liver fibrosis scores (LFSs) including fibrosis-4 (FIB-4), BARD score, and BAAT score were adopted. A logistic regression analysis was used to calculate odds ratios and the 95% confidence interval. A subgroup analysis showed the association between LFSs and CKD under different stratifications. Restricted cubic spline could further explore whether there is a linear relationship between LFSs and CKD. Finally, we used C-statistics, Net Reclassification Index (NRI), and Integrated Discrimination Improvement (IDI) to assess the effect of each LFS on CKD. Results Through the baseline characteristics, we observed that LFSs were higher in the CKD population than in non-CKD. The proportion of participants with CKD also increased with LFSs. In a multivariate logistic regression analysis, the ORs of CKD were 6.71 (4.45–10.13) in FIB-4, 1.88 (1.29–2.75) in the BAAT score, and 1.72 (1.28–2.31) in the BARD score by comparing the high level with the low level in each LFSs. Moreover, after adding LFSs to the original risk prediction model, which consisted of age, sex, drinking, smoking, diabetes, low-density lipoprotein cholesterol, total cholesterol, triglycerides, and mean waist circumference, we found the new models have higher C-statistics. Furthermore, NRI and IDI both indicate LFSs had a positive effect on the model. Conclusions Our study showed that LFSs are associated with CKD among middle-aged populations in rural areas of northeastern China.
    Type of Medium: Online Resource
    ISSN: 2296-858X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2775999-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    In: Journal of Hypertension, Ovid Technologies (Wolters Kluwer Health), Vol. 41, No. 5 ( 2023-05), p. 741-750
    Abstract: To explore the predictive value of liver fibrosis scores [fibrosis-4, AST/platelet ratio index, BAAT score (BMI Age ALT TG), and BARD score (BMI AST/ALT Ratio Diabetes)] for the risk of cardiovascular disease (CVD) in a hypertensive population. Methods: A total of 4164 hypertensive participants without history of CVD were enrolled in the follow-up. Four liver fibrosis scores (LFSs) were used, including the fibrosis-4 (FIB-4), APRI, BAAT score, and BARD score. The endpoint was CVD incidence which was defined as stroke or coronary heart disease (CHD) during the follow-up period. Cox regression analyses were used to calculate hazard ratios between LFSs and CVD. Kaplan–Meier curve was used to show the probability of CVD in different levels of LFSs. Restricted cubic spline further explored whether the relationship between LFSs and CVD was linear. Finally, we assessed the discriminatory ability of each LFS for CVD was assessed using C -statistics, net reclassification index (NRI), and integrated discrimination improvement (IDI). Results: During a median follow-up time of 4.66 years, 282 hypertensive participants had CVD. Kaplan–Meier curve showed that four LFSs were associated with CVD and high levels of LFSs significantly increase the probability of CVD in hypertensive population. In the multivariate Cox regression analysis, the adjusted hazard ratios for four LFSs were 3.13 in FIB-4, 1.66 in APRI, 1.47 in BAAT score, and 1.36 in BARD score. Moreover, after adding LFSs to original risk prediction model, we find that all four new models have higher C -statistics of CVD than the traditional model. Furthermore, the results of both NRI and IDI were positive, indicating that LFSs enhanced the effect on the prediction of CVD. Conclusions: Our study showed that LFSs were associated with CVD in hypertensive populations in northeastern China. Furthermore, it suggested that LFSs could be a new tool for identifying patients at high risk of primary CVD in a hypertensive population.
    Type of Medium: Online Resource
    ISSN: 0263-6352 , 1473-5598
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2017684-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    Elsevier BV ; 2022
    In:  Colloids and Surfaces A: Physicochemical and Engineering Aspects Vol. 653 ( 2022-11), p. 130005-
    In: Colloids and Surfaces A: Physicochemical and Engineering Aspects, Elsevier BV, Vol. 653 ( 2022-11), p. 130005-
    Type of Medium: Online Resource
    ISSN: 0927-7757
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 1500517-3
    detail.hit.zdb_id: 1169792-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    In: Journal of Clinical Medicine, MDPI AG, Vol. 11, No. 22 ( 2022-11-08), p. 6609-
    Abstract: Purpose: To explore the predictive value of ACEF scores for identifying the risk of cardiovascular disease (CVD) in the general population. Methods: A total of 8613 participants without a history of CVD were enrolled in the follow-up. The endpoint was CVD incidence, defined as stroke or coronary heart disease (CHD) diagnosed during the follow-up period. Cox regression analyses were used to calculate hazard ratios (HRs) with respect to the age, creatinine, and ejection fraction (ACEF) scores and CVD. A Kaplan–Meier curve was used to analyze the probability of CVD in different quartiles of ACEF. Restricted cubic spline was used to further explore whether the relationship between ACEF and CVD was linear. Finally, we assessed the discriminatory ability of ACEF for CVD using C-statistics, net reclassification index, and integrated discrimination improvement (IDI). Results: During a median follow-up period of 4.66 years, 388 participants were diagnosed with CVD. The Kaplan–Meier curve showed that ACEF was associated with CVD, and participants with high ACEF scores were significantly more likely to be diagnosed with CVD compared to participants with low ACEF scores in the general population. In the multivariate Cox regression analysis, the adjusted HRs for four quartiles of ACEF were as follows: the first quartile was used as a reference; the second quartile: HR = 2.33; the third quartile: HR = 4.81; the fourth quartile: HR = 8.00. Moreover, after adding ACEF to the original risk prediction model, we observed that new models had higher C-statistic values of CVD than the traditional model. Furthermore, the results of both NRI and IDI were positive, indicating that ACEF enhanced the prediction of CVD. Conclusions: Our study showed that the ACEF score was associated with CVD in the general population in northeastern China. Furthermore, ACEF could be a new tool for identifying patients at high risk of primary CVD in the general population.
    Type of Medium: Online Resource
    ISSN: 2077-0383
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2662592-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    In: Liver International, Wiley, Vol. 42, No. 10 ( 2022-10), p. 2175-2185
    Abstract: The purpose was to explore the value of liver fibrosis scores (fibrosis‐4, BAAT score and BARD score) for incidence risk of stroke in a cohort study. Methods A total of 9088 participants without stroke history enrolled the follow‐up. Three liver fibrosis scores (LFSs) including FIB‐4, BARD score and BAAT score were adopted. The end point was stroke. Cox regression analysis was used to calculate hazard ratios and 95% confidence interval. Kaplan–Meier curve was used to show the probability of stoke in different levels of LFSs. Subgroup analysis showed the association between LFSs and stroke under different stratification. Restricted cubic spline could further explore whether there is a linear relationship between LFSs and stroke. Finally, we used C‐statistics, Net Reclassification Index (NRI) and Integrated Discrimination Improvement (IDI) to assess the discriminatory power of each LFS for stroke. Results During a median follow‐up time of 4.66 years, 272 participants had a stroke. Through the baseline characteristics, we observed that the stroke incidence population tends to be male and older. It was shown by Kaplan–Meier that three LFSs were associated with stroke and high levels of LFSs significantly increase the probability of stroke. In the univariate Cox regression analysis, the HR of stroke risk was 6.04 (4.14–8.18) in FIB‐4, 2.10 (1.45–3.04) in BAAT score and 1.81 (1.38–2.38) in BARD score by comparing the high level with the low level at each LFSs. The adjusted HRs for three LFSs were 2.05 (1.33–3.15) in FIB‐4, 1.61 (1.10–2.35) in BAAT score and 1.54 (1.17–2.04) in BARD score by comparing the high group with low group. We found that multivariable‐adjusted HRs of three LFSs still increased for stroke when stratified by various factors in subgroup analysis. Moreover, after adding LFSs to original risk prediction model which consist of age, sex, drinking, smoking, hypertension, diabetes, low‐density lipoprotein cholesterol, total cholesterol and triglycerides, we found that new models have higher C‐statistics of stroke. Furthermore, we calculated Net Reclassification Index (NRI) and Integrated Discrimination Improvement (IDI) to show the ability of LFSs to predict stroke. Conclusions Our study showed that three LFSs were associated with stroke amongst middle‐aged populations in rural areas of Northeast China. Furthermore, it suggests that LFSs can be used as a risk stratification tool to predict stroke.
    Type of Medium: Online Resource
    ISSN: 1478-3223 , 1478-3231
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2124684-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...