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Figure 7 from: Zhou S-B, Zhang Q-Y, Hu Z-Q, Miao Q, Guan P, Shi J-S (2023) The validity of Pelophylax chosenicus (Okada, 1931) and P. hubeiensis (Fei & Ye, 1982) (Amphibia, Ranidae). Herpetozoa 36: 143-152. https://doi.org/10.3897/herpetozoa.36.e100072

Zhou, Sheng-Bo ; Zhang, Qiu-Yi ; Hu, Zi-Qiang ; [et al.]

Pensoft Publishers ; 2023

In: Herpetozoa Vol. 36 ( 2023-06-21), p. 143-152

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In: Herpetozoa, Pensoft Publishers, Vol. 36 ( 2023-06-21), p. 143-152

Abstract: Pelophylax plancyi (Lataste, 1880), Pelophylax chosenicus (Okada, 1931) and Pelophylax hubeiensis (Fei & Ye, 1982) were described chronologically from East Asia. The three species have similar morphological and molecular characteristics, but the taxonomic relationships amongst them have long been ambiguous. To deal with this taxonomic issue, we examined newly-obtained topotypic specimens of P. plancyi , P. chosenicus and P. hubeiensis for morphological comparison. Furthermore, we investigated the phylogeny of pond frogs in Eurasia by Bayesian Inference and Maximum Likelihood analyses of a fragment consisting of mitochondrial DNA gene 16s and provided a molecular phylogeny of the genus Pelophylax . There were no morphological and molecular differences between P. plancyi and P. chosenicus , but both morphological and molecular differences between P. hubeiensis and P. plancyi . Hence, we conclude that P. chosenicus is a junior synonym of P. plancyi and P. hubeiensis is a separate species from P. plancyi .

Type of Medium: Online Resource

ISSN: 2682-955X , 1013-4425

URL: Article

DOI: 10.3897/herpetozoa.36.e100072

DOI: 10.3897/herpetozoa.36.e100072.figure1

DOI: 10.3897/herpetozoa.36.e100072.figure2

DOI: 10.3897/herpetozoa.36.e100072.figure3

DOI: 10.3897/herpetozoa.36.e100072.figure4

DOI: 10.3897/herpetozoa.36.e100072.figure5

DOI: 10.3897/herpetozoa.36.e100072.figure6

DOI: 10.3897/herpetozoa.36.e100072.figure7

Language: Unknown

Publisher: Pensoft Publishers

Publication Date: 2023

detail.hit.zdb_id: 2474932-1

SSG: 12

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Search for gamma-ray spectral lines with the DArk Matter Particle Explorer

Liang, Yun-Feng ; Alemanno, Francesca ; An, Qi ; [et al.]

Elsevier BV ; 2022

In: Science Bulletin Vol. 67, No. 7 ( 2022-04), p. 679-684

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In: Science Bulletin, Elsevier BV, Vol. 67, No. 7 ( 2022-04), p. 679-684

Type of Medium: Online Resource

ISSN: 2095-9273

URL: Article

DOI: 10.1016/j.scib.2021.12.015

Language: English

Publisher: Elsevier BV

Publication Date: 2022

detail.hit.zdb_id: 2069521-4

detail.hit.zdb_id: 2816140-3

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Prospective observational cohort study on grading the severity of postoperative complications in global surgery research

International Surgical Outcomes Study (ISOS) group ; Abbott, T E F ; Greaves, K E ; [et al.]

Oxford University Press (OUP) ; 2019

In: British Journal of Surgery Vol. 106, No. 2 ( 2019-01-08), p. e73-e80

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In: British Journal of Surgery, Oxford University Press (OUP), Vol. 106, No. 2 ( 2019-01-08), p. e73-e80

Abstract: The Clavien–Dindo classification is perhaps the most widely used approach for reporting postoperative complications in clinical trials. This system classifies complication severity by the treatment provided. However, it is unclear whether the Clavien–Dindo system can be used internationally in studies across differing healthcare systems in high- (HICs) and low- and middle-income countries (LMICs). Methods This was a secondary analysis of the International Surgical Outcomes Study (ISOS), a prospective observational cohort study of elective surgery in adults. Data collection occurred over a 7-day period. Severity of complications was graded using Clavien–Dindo and the simpler ISOS grading (mild, moderate or severe, based on guided investigator judgement). Severity grading was compared using the intraclass correlation coefficient (ICC). Data are presented as frequencies and ICC values (with 95 per cent c.i.). The analysis was stratified by income status of the country, comparing HICs with LMICs. Results A total of 44 814 patients were recruited from 474 hospitals in 27 countries (19 HICs and 8 LMICs). Some 7508 patients (16·8 per cent) experienced at least one postoperative complication, equivalent to 11 664 complications in total. Using the ISOS classification, 5504 of 11 664 complications (47·2 per cent) were graded as mild, 4244 (36·4 per cent) as moderate and 1916 (16·4 per cent) as severe. Using Clavien–Dindo, 6781 of 11 664 complications (58·1 per cent) were graded as I or II, 1740 (14·9 per cent) as III, 2408 (20·6 per cent) as IV and 735 (6·3 per cent) as V. Agreement between classification systems was poor overall (ICC 0·41, 95 per cent c.i. 0·20 to 0·55), and in LMICs (ICC 0·23, 0·05 to 0·38) and HICs (ICC 0·46, 0·25 to 0·59). Conclusion Caution is recommended when using a treatment approach to grade complications in global surgery studies, as this may introduce bias unintentionally.

Type of Medium: Online Resource

ISSN: 0007-1323 , 1365-2168

URL: Article

DOI: 10.1002/bjs.11025

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2019

detail.hit.zdb_id: 2006309-X

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Prediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study

Li, Pinhao ; Wang, Yan ; Li, Hui ; [et al.]

Springer Science and Business Media LLC ; 2023

In: Aging Clinical and Experimental Research Vol. 35, No. 3 ( 2023-01-04), p. 639-647

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In: Aging Clinical and Experimental Research, Springer Science and Business Media LLC, Vol. 35, No. 3 ( 2023-01-04), p. 639-647

Abstract: Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. We aimed to develop and validate deep learning-based predictive models for postoperative infections in the elderly. 1510 patients were randomly assigned to be training dataset for establishing deep learning-based models, and 504 patients were used to validate the effectiveness of these models. The conventional model predicted postoperative infections was 0.728 (95% CI 0.688–0.768) with the sensitivity of 66.2% (95% CI 58.2–73.6) and specificity of 66.8% (95% CI 64.6–68.9). The deep learning model including risk factors relevant to baseline clinical characteristics predicted postoperative infections was 0.641 (95% CI 0.545–0.737), and sensitivity and specificity were 34.2% (95% CI 19.6–51.4) and 88.8% (95% CI 85.6–91.6), respectively. Including risk factors relevant to baseline variables and surgery, the deep learning model predicted postoperative infections was 0.763 (95% CI 0.681–0.844) with the sensitivity of 63.2% (95% CI 46–78.2) and specificity of 80.5% (95% CI 76.6–84). Our feasibility study indicated that a deep learning model including risk factors for the prediction of postoperative infections can be achieved in elderly. Further study is needed to assess whether this model can be used to guide clinical practice to improve surgical outcomes in elderly.

Type of Medium: Online Resource

ISSN: 1720-8319

URL: Article

DOI: 10.1007/s40520-022-02325-3

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2023

detail.hit.zdb_id: 2119282-0

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The surgical safety checklist and patient outcomes after surgery: a prospective observational cohort study, systematic review and meta-analysis

Abbott, T.E.F. ; Ahmad, T. ; Phull, M.K. ; [et al.]

Elsevier BV ; 2018

In: British Journal of Anaesthesia Vol. 120, No. 1 ( 2018-01), p. 146-155

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In: British Journal of Anaesthesia, Elsevier BV, Vol. 120, No. 1 ( 2018-01), p. 146-155

Type of Medium: Online Resource

ISSN: 0007-0912

URL: Article

DOI: 10.1016/j.bja.2017.08.002

Language: English

Publisher: Elsevier BV

Publication Date: 2018

detail.hit.zdb_id: 2011968-9

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Taiji program in space for gravitational universe with the first run key technologies test in Taiji-1

The Taiji Scientific Collaboration ; Wu, Yue-Liang ; Luo, Zi-Ren ; [et al.]

World Scientific Pub Co Pte Ltd ; 2021

In: International Journal of Modern Physics A Vol. 36, No. 11n12 ( 2021-04-30), p. 2102002-

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In: International Journal of Modern Physics A, World Scientific Pub Co Pte Ltd, Vol. 36, No. 11n12 ( 2021-04-30), p. 2102002-

Type of Medium: Online Resource

ISSN: 0217-751X , 1793-656X

URL: Article

DOI: 10.1142/S0217751X21020024

RVK:

UA 4381

Language: English

Publisher: World Scientific Pub Co Pte Ltd

Publication Date: 2021

SSG: 16,12

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31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016): part one : National Harbor, MD, USA. 9-13 November 2016

Lundqvist, Andreas ; van Hoef, Vincent ; Zhang, Xiaonan ; [et al.]

BMJ ; 2016

In: Journal for ImmunoTherapy of Cancer Vol. 4, No. S1 ( 2016-11)

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In: Journal for ImmunoTherapy of Cancer, BMJ, Vol. 4, No. S1 ( 2016-11)

Type of Medium: Online Resource

ISSN: 2051-1426

URL: Article

DOI: 10.1186/s40425-016-0172-7

Language: English

Publisher: BMJ

Publication Date: 2016

detail.hit.zdb_id: 2719863-7

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Genotypic variants at 2q33 and risk of esophageal squamous cell carcinoma in China: a meta-analysis of genome-wide association studies

Abnet, Christian C. ; Wang, Zhaoming ; Song, Xin ; [et al.]

Oxford University Press (OUP) ; 2012

In: Human Molecular Genetics Vol. 21, No. 9 ( 2012-5-1), p. 2132-2141

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In: Human Molecular Genetics, Oxford University Press (OUP), Vol. 21, No. 9 ( 2012-5-1), p. 2132-2141

Type of Medium: Online Resource

ISSN: 1460-2083 , 0964-6906

URL: Article

DOI: 10.1093/hmg/dds029

RVK:

XA 10000

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2012

detail.hit.zdb_id: 1474816-2

SSG: 12

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Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup

Liu, Xiao-qing ; Zhang, Run-shun ; Zhou, Xue-zhong ; [et al.]

Springer Science and Business Media LLC ; 2023

In: Chinese Journal of Integrative Medicine Vol. 29, No. 5 ( 2023-05), p. 441-447

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In: Chinese Journal of Integrative Medicine, Springer Science and Business Media LLC, Vol. 29, No. 5 ( 2023-05), p. 441-447

Type of Medium: Online Resource

ISSN: 1672-0415 , 1993-0402

URL: Article

DOI: 10.1007/s11655-022-3571-2

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2023

detail.hit.zdb_id: 2325040-9

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Exome sequencing identifies somatic mutations of DDX3X in natural killer/T-cell lymphoma

Jiang, Lu ; Gu, Zhao-Hui ; Yan, Zi-Xun ; [et al.]

Springer Science and Business Media LLC ; 2015

In: Nature Genetics Vol. 47, No. 9 ( 2015-09), p. 1061-1066

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In: Nature Genetics, Springer Science and Business Media LLC, Vol. 47, No. 9 ( 2015-09), p. 1061-1066

Type of Medium: Online Resource

ISSN: 1061-4036 , 1546-1718

URL: Article

DOI: 10.1038/ng.3358

RVK:

XA 10000

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2015

detail.hit.zdb_id: 1494946-5

SSG: 12

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