30 results on '"Gu, Weibin"'
Search Results
2. Experimental investigation of dynamic characteristic during civil aircraft ditching
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LUO, Wenli, GU, Weibin, HUANG, Yong, and CHANG, Liang
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- 2024
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3. Physics-informed Neural Network for Quadrotor Dynamical Modeling
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Gu, Weibin, Primatesta, Stefano, and Rizzo, Alessandro
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- 2024
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4. Migratory enhancement in brain MRI of rosette-forming glioneuronal tumour over 11 years
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Chen, Bin, Chen, Huiyuan, Liu, Huanguang, Gu, Weibin, and Zhang, Zaiqiang
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- 2023
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5. Small vessel disease burden may not portend unfavorable outcome after thrombectomy for acute large vessel occlusion
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Zheng, Lina, Leng, Xinyi, Nie, Ximing, Yan, Hongyi, Tian, Xuan, Pan, Yuesong, Yang, Zhonghua, Wen, Miao, Pu, Yuehua, Gu, Weibin, Miao, Zhongrong, Leung, Thomas W, and Liu, Liping
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- 2022
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6. UAV Model-based Flight Control with Artificial Neural Networks: A Survey
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Gu, Weibin, Valavanis, Kimon P., Rutherford, Matthew J., and Rizzo, Alessandro
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- 2020
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7. Intraluminal Thrombus and Outcomes of Patients With Acute Large Vessel Occlusive Stroke Undergoing Endovascular Treatment
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Ding, Yarong, Leng, Xinyi, Nie, Ximing, Pan, Yuesong, Li, JieJie, Liu, Dacheng, Yan, Hongyi, Pu, Yuehua, Wei, Yufei, Cai, Yuan, Lu, Qixuan, Zhang, Zhe, Duan, Wanying, Gu, Weibin, Hou, Xinyi, Yang, Zhonghua, Wen, Miao, Ma, Ning, Miao, Zhongrong, Wang, Yongjun, and Liu, Liping
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- 2021
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8. Cortical Microinfarcts Associated With Worse Outcomes in Patients With Acute Ischemic Stroke Receiving Endovascular Treatment
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Wei, Yufei, Pu, Yuehua, Pan, Yuesong, Nie, Ximing, Duan, Wanying, Liu, Dacheng, Yan, Hongyi, Lu, Qixuan, Zhang, Zhe, Yang, Zhonghua, Wen, Miao, Gu, Weibin, Hou, Xinyi, Ma, Ning, Leng, Xinyi, Miao, Zhongrong, and Liu, Liping
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- 2020
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9. Friction and wear performance of laser peen textured surface under starved lubrication
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Li, Kangmei, Yao, Zhenqiang, Hu, Yongxiang, and Gu, Weibin
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- 2014
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10. Relationship between surface roughness and subsurface crack depth during grinding of optical glass BK7
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Yao, Zhenqiang, Gu, Weibin, and Li, Kangmei
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- 2012
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11. Investigation of grinding modes in horizontal surface grinding of optical glass BK7
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Gu, Weibin, Yao, Zhenqiang, and Li, Haolin
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- 2011
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12. Material removal of optical glass BK7 during single and double scratch tests
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Gu, Weibin, Yao, Zhenqiang, and Liang, Xinguang
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- 2011
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13. Evaluation of surface cracking in micron and sub-micron scale scratch tests for optical glass BK7
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Gu, Weibin and Yao, Zhenqiang
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- 2011
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14. Effects of Crofton weed Ageratina adenophora on assemblages of Carabidae (Coleoptera) in the Yunnan Province, South China
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Gu, Weibin, Sang, Weiguo, Liang, Hongbin, and Axmacher, Jan C.
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- 2008
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15. Diversity of carabids (Coleoptera, Carabidae) in the desalinized agricultural landscape of Quzhou county, China
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Liu, Yunhui, Yu, Zhenrong, Gu, Weibin, and Axmacher, Jan C.
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- 2006
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16. Matrix metallopeptidase 9 and placental growth factor may correlate with collateral status based on whole-brain perfusion combined with multiphase computed tomography angiography.
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Yang, Bo, Ding, Yarong, Liu, Xin, Cai, Yuan, Yang, Xinxuan, Lu, Qixuan, Gu, Weibin, Liu, Liping, and Pu, Yuehua
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MOYAMOYA disease ,STROKE ,PLACENTAL growth factor ,COMPUTED tomography ,ISCHEMIC stroke ,STROKE patients ,ANGIOGRAPHY - Abstract
The aim of this study was to find out the relationship between serum biomarkers and cerebral collateral status in acute ischemic stroke with cerebral large artery atherosclerosis. We enrolled patients with ischemic stroke due to large artery atherosclerosis within 7 days of symptom onset, age 18–80 years, from August 2016 to December 2017. Twelve biomarkers representing different pathophysiological mechanisms were tested after admission. Whole-brain perfusion combined with multiphase computed tomography angiography was performed to assess cerebral collateral structure and function. Fifty-two patients completed the test of candidate biomarkers and recruited in this study. The mean age was 55.0 (11.1) years, 42 (80.8%) patients were male, 20 (38.5%) had poor collateral, 36 (69.2%) patients had anterior circulation stenosis or occlusion. Compared with poor collateral group, the level of MMP-9 (135,475.00 pg/ml vs. 103,612.00 pg/ml, p = 0.040) and PGF (5.75 pg/ml vs. 3.46 pg/ml, p = 0.046) was significantly higher in good collateral group. The adjusted OR (95%CI) of MMP-9 and PGF were 5.533 (1.10–27.74, p = 0.038), 7.73 (1.41–42.39, p = 0.018), respectively. sTie-2 level had a positive correlation with proportion of Tmax 4–6 (r = 0.302, p = 0.033) and HMW-KGN had negative correlation with proportion of Tmax 6–8 (r = −0.338, p = 0.02). After adjustment, the correlation of sTie-2 level and proportion of Tmax 4–6 was statistically significant (p = 0.003), and correlation of HMW-KGN and Tmax6-8 was not statistically significant (p = 0.056). Serum PGF and MMP-9 levels may correlate with collateral status based on MP-CTA in acute ischemic stroke patients with cerebral large artery atherosclerosis. Higher PGF and MMP-9 concentration associated with good collateral status. [ABSTRACT FROM AUTHOR]
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- 2021
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17. Cerebral Hemodynamic Changes After Endovascular Recanalization of Symptomatic Chronic Intracranial Artery Occlusion.
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Kang, Kaijiang, Yang, Bo, Gong, Xiping, Chen, Xing, Gu, Weibin, Ma, Guofeng, Miao, Zhongrong, Zhao, Xingquan, and Ma, Ning
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CEREBRAL circulation ,ARTERIES - Abstract
Objective: We performed this study to evaluate the hemodynamic changes over time after successful endovascular recanalization in patients with symptomatic chronic intracranial artery occlusion (CIAO). Materials and Methods: We included 20 patients with symptomatic CIAO in a high-volume stroke center from June 2014 to June 2019. All subjects were evaluated with CT perfusion (CTP) studies before and after the recanalization. The relative cerebral blood flows (rCBFs) in perforating artery territory (PAT) and cortical artery territory (CAT) of occluded arteries were compared before and after the recanalization. The patients were categorized into subgroups based on the time interval from revascularization to post-procedural CTP, occlusion sites, and restenosis status. The proportion of rCBF change (rCBFc%) was compared in variable subgroups. Results: The rCBF increased significantly from 0.52 to 0.71 in PAT (P < 0.001) and from 0.59 to 0.85 in CAT (P < 0.001) after recanalization, and there were also statistical differences in variable subgroups except for those with restenosis. The median and interquartile range (IQR) of rCBFc% were 35.2 and 18.6–56.6%. For patients with short-term follow-up (55.2%), the rCBFc% was relatively higher than that in patients with mid-term (35.4%) and long-term follow-up (32.7%), although without statistical difference (P = 0.273). For patients with restenosis, the rCBFc% was significantly lower than that in patients without restenosis (18.5 vs. 37.3%, P = 0.008). Conclusions: In patients with symptomatic CIAO, the CBF may increase and be relatively stable over time after successful recanalization except for restenosis. [ABSTRACT FROM AUTHOR]
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- 2020
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18. Cerebral Hemodynamic Changes After Revascularization in Patients With Hemorrhagic Moyamoya Disease.
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Kang, Kaijiang, Ma, Ning, Li, Jinxin, Shen, Yuan, Gu, Weibin, Ma, Guofeng, Zhang, Dong, and Zhao, Xingquan
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MOYAMOYA disease ,HEMORRHAGIC diseases ,CEREBRAL revascularization ,CEREBRAL circulation ,BLOOD volume ,REVASCULARIZATION (Surgery) - Abstract
Objective: To explore the cerebral hemodynamic changes after revascularization in patients with hemorrhagic moyamoya disease (MMD). Materials and Methods: We retrospectively included 57 hemorrhagic MMD patients in a high-volume stroke center from January 2016 to December 2018. All subjects were evaluated with whole-brain CT perfusion (CTP) before and after surgical revascularization. Absolute and relative CTP values in the regions of cortical middle cerebral artery territory (CMT) and deep brain area (DBA) of hemorrhagic hemispheres were measured. Differences between pre- and post-operative CTP values were assessed comprehensively. The patients were categorized into subgroups based on revascularization subtypes and postoperative CTP intervals. Results: The relative cerebral blood volume (rCBV) in DBA and CMT significantly reduced in postoperative CTP (P < 0.05). The median and interquartile range of the proportion of rCBV decrease (rCBVc%) were 7.2% (2.3–13.2%). The rCBV reduction retained statistical significant in patients who received subtypes of revascularization, and in patients with variable intervals of follow-up (P < 0.05). There was no significant difference of rCBVc% between patients who received different revascularization and among patients with different postoperative CTP intervals (P > 0.05). The relative mean transit time (rMTT) and relative time to peak (rTTP) also showed downward trends, but without retainable statistical significance in stratified analysis. There was no significant change in relative cerebral blood flow (rCBF) (P > 0.05). Conclusion: In patients with hemorrhagic MMD, the CBV appeared to decrease and be relatively stable in the chronic phase after revascularization, with varying degrees of MTT and TTP shortening. However, there was no significant change in CBF. [ABSTRACT FROM AUTHOR]
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- 2020
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19. Association Between Cerebral Hypoperfusion and Cognitive Impairment in Patients With Chronic Vertebra-Basilar Stenosis.
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Deng, Yiming, Wang, Luyao, Sun, Xuan, Liu, Lian, Zhu, Meifang, Wang, Chunxue, Sui, Binbin, Shen, Mi, Gu, Weibin, Mo, Dapeng, Ma, Ning, Song, Ligang, Li, Xiaoqing, Huo, Xiaochuan, Miao, Zhongrong, Chen, Duanduan, and Gao, Feng
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COGNITION ,INFARCTION ,NEUROPSYCHOLOGICAL tests ,COMPUTED tomography ,PERFUSION - Abstract
Objective: This study aimed to investigate the association between cognitive impairment and cerebral haemodynamic changes in patients with chronic vertebra-basilar (VB) stenosis. Methods: Patients with severe posterior circulation VB stenosis and infarction or a history of infarction for more than 2 weeks from January 2014 to January 2015 were enrolled (n = 96). They were divided into three groups, namely, the computed tomography perfusion (CTP) normal group, the CTP compensated group, and the CTP decompensated group. Cognitive function was assessed using a validated Chinese version of the Mini-Mental State Examination (MMSE), the Frontal Assessment Battery (FAB), and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Regression models were used to identify independent risk factors for cognitive impairment. Results: The MMSE and FAB scores of patients in the CTP decompensated group were significantly lower than those of patients in the CTP normal and CTP compensated groups (all p < 0.05). The RBANS total and its domain scores, including immediate memory, visual acuity, and delayed memory, in the CTP compensated and CTP decompensated groups were significantly lower than those in the CTP normal group (all p < 0.05). Multiple regression analyses showed that CTP compensation, CTP decompensation, severe VB tandem stenosis, and multiple infarctions were independent risk factors for cognitive impairment. Conclusions: Low perfusion caused by severe VB stenosis can lead to extensive cognitive impairments in areas such as immediate memory, visual span, and delayed memory. [ABSTRACT FROM AUTHOR]
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- 2018
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20. Association between basilar artery stenosis features, vertebral artery stenosis and perforator stroke after stenting.
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Huang, Rui, Yang, Bo, Gao, Feng, Mo, Dapeng, Yang, Ming, Hou, Zhikai, Liu, Yifan, Cui, Rongrong, Kang, Kaijiang, Gu, Weibin, He, Jianfeng, Lou, Xin, Miao, Zhongrong, and Ma, Ning
- Abstract
We investigated the relationship between basilar artery (BA) atherosclerotic stenosis features and vertebral artery (VA) stenosis and explored whether BA stenosis features are associated with perforator stroke after stenting.Patients with BA stenosis who underwent HRMRI and DSA were recruited. Patients were divided into proximal BA stenosis and middle-or-distal BA stenosis groups, and then subgroup analyses were performed based on whether they had VA stenosis. BA plaque features were evaluated by HRMRI. Artery stenosis was measured by DSA. The incidence of perforator stroke after BA stenting was recorded, and the potential association between BA stenosis features and perforator stroke was analyzed.One hundred and seventy-four patients were consecutively enrolled. Patients with proximal BA stenosis had a higher proportion of severe stenosis than those with middle-or-distal BA stenosis (
P = 0.027). In the subgroup analysis, this difference mainly existed in patients complicated with VA stenosis (P = 0.023). Patients with proximal BA stenosis had a higher proportion of strong plaque enhancement than those with middle-or-distal BA stenosis (P < 0.001), especially in those with vertebrobasilar junction (VBJ) stenosis (P < 0.001). Perforator stroke after BA stenting occurred in five patients, of whom four had lateral wall BA plaques, four had plaque enhancement and four had proximal BA stenosis.Patients with proximal BA stenosis had a higher proportion of severe stenosis and strong plaque enhancement, particularly in patients complicated with VA stenosis and VBJ stenosis. Perforator stroke after BA stenting may be related to distribution, burden and characteristics of BA lesions. [ABSTRACT FROM AUTHOR]- Published
- 2023
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21. The database of the Predicts (Projecting responses of ecological diversity in changing terrestrial systems) project
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Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Alhusseini, TI, Bedford, FE, Bennett, DJ, Booth, H, Burton, VJ, Chng, CWT, Choimes, A, Correia, DLP, Day, J, Echeverría-Londoño, S, Emerson, SR, Gao, D, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, Pask-Hale, GD, Pynegar, EL, Robinson, AN, Sanchez-Ortiz, K, Senior, RA, Simmons, BI, White, HJ, Zhang, H, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Albertos, B, Alcala, EL, del Mar Alguacil, M, Alignier, A, Ancrenaz, M, Andersen, AN, Arbeláez-Cortés, E, Armbrecht, I, Arroyo-Rodríguez, V, Aumann, T, Axmacher, JC, Azhar, B, Azpiroz, AB, Baeten, L, Bakayoko, A, Báldi, A, Banks, JE, Baral, SK, Barlow, J, Barratt, BIP, Barrico, L, Bartolommei, P, Barton, DM, Basset, Y, Batáry, P, Bates, AJ, Baur, B, Bayne, EM, Beja, P, Benedick, S, Berg, Å, Bernard, H, Berry, NJ, Bhatt, D, Bicknell, JE, Bihn, JH, Blake, RJ, Bobo, KS, Bóçon, R, Boekhout, T, Böhning-Gaese, K, Bonham, KJ, Borges, PAV, Borges, SH, Boutin, C, Bouyer, J, Bragagnolo, C, Brandt, JS, Brearley, FQ, Brito, I, Bros, V, Brunet, J, Buczkowski, G, Buddle, CM, Bugter, R, Buscardo, E, Buse, J, Cabra-García, J, Cáceres, NC, Cagle, NL, Calviño-Cancela, M, Cameron, SA, Cancello, EM, Caparrós, R, Cardoso, P, Carpenter, D, Carrijo, TF, Carvalho, AL, Cassano, CR, Castro, H, Castro-Luna, AA, Rolando, CB, Cerezo, A, Chapman, KA, Chauvat, M, Christensen, M, Clarke, FM, Cleary, DFR, Colombo, G, Connop, SP, Craig, MD, Cruz-López, L, Cunningham, SA, D'Aniello, B, D'Cruze, N, da Silva, PG, Dallimer, M, Danquah, E, Darvill, B, Dauber, J, Davis, ALV, Dawson, J, de Sassi, C, de Thoisy, B, Deheuvels, O, Dejean, A, Devineau, J-L, Diekötter, T, Dolia, JV, Domínguez, E, Dominguez-Haydar, Y, Dorn, S, Draper, I, Dreber, N, Dumont, B, Dures, SG, Dynesius, M, Edenius, L, Eggleton, P, Eigenbrod, F, Elek, Z, Entling, MH, Esler, KJ, de Lima, RF, Faruk, A, Farwig, N, Fayle, TM, Felicioli, A, Felton, AM, Fensham, RJ, Fernandez, IC, Ferreira, CC, Ficetola, GF, Fiera, C, Filgueiras, BKC, Fırıncıoğlu, HK, Flaspohler, D, Floren, A, Fonte, SJ, Fournier, A, Fowler, RE, Franzén, M, Fraser, LH, Fredriksson, GM, Freire, GB, Frizzo, TLM, Fukuda, D, Furlani, D, Gaigher, R, Ganzhorn, JU, García, KP, Garcia-R, JC, Garden, JG, Garilleti, R, Ge, B-M, Gendreau-Berthiaume, B, Gerard, PJ, Gheler-Costa, C, Gilbert, B, Giordani, P, Giordano, S, Golodets, C, Gomes, LGL, Gould, RK, Goulson, D, Gove, AD, Granjon, L, Grass, I, Gray, CL, Grogan, J, Gu, W, Guardiola, M, Gunawardene, NR, Gutierrez, AG, Gutiérrez-Lamus, DL, Haarmeyer, DH, Hanley, ME, Hanson, T, Hashim, NR, Hassan, SN, Hatfield, RG, Hawes, JE, Hayward, MW, Hébert, C, Helden, AJ, Henden, J-A, Henschel, P, Hernández, L, Herrera, JP, Herrmann, F, Herzog, F, Higuera-Diaz, D, Hilje, B, Höfer, H, Hoffmann, A, Horgan, FG, Hornung, E, Horváth, R, Hylander, K, Isaacs-Cubides, P, Ishida, H, Ishitani, M, Jacobs, CT, Jaramillo, VJ, Jauker, B, Hernández, FJ, Johnson, MF, Jolli, V, Jonsell, M, Juliani, SN, Jung, TS, Kapoor, V, Kappes, H, Kati, V, Katovai, E, Kellner, K, Kessler, M, Kirby, KR, Kittle, AM, Knight, ME, Knop, E, Kohler, F, Koivula, M, Kolb, A, Kone, M, Kőrösi, Á, Krauss, J, Kumar, A, Kumar, R, Kurz, DJ, Kutt, AS, Lachat, T, Lantschner, V, Lara, F, Lasky, JR, Latta, SC, Laurance, WF, Lavelle, P, Le Féon, V, LeBuhn, G, Légaré, J-P, Lehouck, V, Lencinas, MV, Lentini, PE, Letcher, SG, Li, Q, Litchwark, SA, Littlewood, NA, Liu, Y, Lo-Man-Hung, N, López-Quintero, CA, Louhaichi, M, Lövei, GL, Lucas-Borja, ME, Luja, VH, Luskin, MS, MacSwiney G, MC, Maeto, K, Magura, T, Mallari, NA, Malone, LA, Malonza, PK, Malumbres-Olarte, J, Mandujano, S, Måren, IE, Marin-Spiotta, E, Marsh, CJ, Marshall, EJP, Martínez, E, Martínez Pastur, G, Moreno Mateos, D, Mayfield, MM, Mazimpaka, V, McCarthy, JL, McCarthy, KP, McFrederick, QS, McNamara, S, Medina, NG, Medina, R, Mena, JL, Mico, E, Mikusinski, G, Milder, JC, Miller, JR, Miranda-Esquivel, DR, Moir, ML, Morales, CL, Muchane, MN, Muchane, M, Mudri-Stojnic, S, Munira, AN, Muoñz-Alonso, A, Munyekenye, BF, Naidoo, R, Naithani, A, Nakagawa, M, Nakamura, A, Nakashima, Y, Naoe, S, Nates-Parra, G, Navarrete Gutierrez, DA, Navarro-Iriarte, L, Ndang'ang'a, PK, Neuschulz, EL, Ngai, JT, Nicolas, V, Nilsson, SG, Noreika, N, Norfolk, O, Noriega, JA, Norton, DA, Nöske, NM, Nowakowski, AJ, Numa, C, O'Dea, N, O'Farrell, PJ, Oduro, W, Oertli, S, Ofori-Boateng, C, Oke, CO, Oostra, V, Osgathorpe, LM, Otavo, SE, Page, NV, Paritsis, J, Parra-H, A, Parry, L, Pe'er, G, Pearman, PB, Pelegrin, N, Pélissier, R, Peres, CA, Peri, PL, Persson, AS, Petanidou, T, Peters, MK, Pethiyagoda, RS, Phalan, B, Philips, TK, Pillsbury, FC, Pincheira-Ulbrich, J, Pineda, E, Pino, J, Pizarro-Araya, J, Plumptre, AJ, Poggio, SL, Politi, N, Pons, P, Poveda, K, Power, EF, Presley, SJ, Proença, V, Quaranta, M, Quintero, C, Rader, R, Ramesh, BR, Ramirez-Pinilla, MP, Ranganathan, J, Rasmussen, C, Redpath-Downing, NA, Reid, JL, Reis, YT, Rey Benayas, JM, Rey-Velasco, JC, Reynolds, C, Ribeiro, DB, Richards, MH, Richardson, BA, Richardson, MJ, Ríos, RM, Robinson, R, Robles, CA, Römbke, J, Romero-Duque, LP, Rös, M, Rosselli, L, Rossiter, SJ, Roth, DS, Roulston, TH, Rousseau, L, Rubio, AV, Ruel, J-C, Sadler, JP, Sáfián, S, Saldaña-Vázquez, RA, Sam, K, Samnegård, U, Santana, J, Santos, X, Savage, J, Schellhorn, NA, Schilthuizen, M, Schmiedel, U, Schmitt, CB, Schon, NL, Schüepp, C, Schumann, K, Schweiger, O, Scott, DM, Scott, KA, Sedlock, JL, Seefeldt, SS, Shahabuddin, G, Shannon, G, Sheil, D, Sheldon, FH, Shochat, E, Siebert, SJ, Silva, FAB, Simonetti, JA, Slade, EM, Smith, J, Smith-Pardo, AH, Sodhi, NS, Somarriba, EJ, Sosa, RA, Soto Quiroga, G, St-Laurent, M-H, Starzomski, BM, Stefanescu, C, Steffan-Dewenter, I, Stouffer, PC, Stout, JC, Strauch, AM, Struebig, MJ, Su, Z, Suarez-Rubio, M, Sugiura, S, Summerville, KS, Sung, Y-H, Sutrisno, H, Svenning, J-C, Teder, T, Threlfall, CG, Tiitsaar, A, Todd, JH, Tonietto, RK, Torre, I, Tóthmérész, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Uehara-Prado, M, Urbina-Cardona, N, Vallan, D, Vanbergen, AJ, Vasconcelos, HL, Vassilev, K, Verboven, HAF, Verdasca, MJ, Verdú, JR, Vergara, CH, Vergara, PM, Verhulst, J, Virgilio, M, Vu, LV, Waite, EM, Walker, TR, Wang, H-F, Wang, Y, Watling, JI, Weller, B, Wells, K, Westphal, C, Wiafe, ED, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Wolters, V, Woodcock, BA, Wu, J, Wunderle, JM, Yamaura, Y, Yoshikura, S, Yu, DW, Zaitsev, AS, Zeidler, J, Zou, F, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW, Purvis, A, The Natural History Museum [London] (NHM), United Nations Environment Programme World Conservation Monitoring Centre, Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment, Research, University College of London [London] (UCL), Department of Life Sciences [Trieste], Università degli studi di Trieste, Imperial College London, Department of Zoology, Auburn University (AU), Frankfurt Zoological Society, Science and Solutions for a Changing Planet DTP and the Department of Life Sciences, Centre d’étude de la forêt, Université Laval, School of Life Sciences, University of Sussex, School of Biological Sciences [London], Queen Mary University of London (QMUL), School of Biological and Ecological Sciences, University of Stirling, School of Biological Sciences [Egham), Royal Holloway [University of London] (RHUL), School of Environment, Natural Resources and Geography, Bangor University, University College London (UCL), School of Biological Sciences [Clayton], Monash University [Clayton], Institute of Biological and Environmental Sciences, (SFIRC), Evolutionary Ecology Group, University of Antwerp (UA), Nees Institute for Plant Biodiversity, Rheinische Friedrich-Wilhelms-Universität Bonn, Wildlife and Range Management Department, Faculty of Renewable Natural Resources, College of Agriculture and Natural Resources (CANR), Kwame Nkrumah University of Science and Technology (KNUST), Save the frogs!, Escuela de Biología, Universidad Nacional de Costa Rica, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Departamento de Botánica, Facultad de Farmacia, Universidad de Valencia, Marine Laboratory, Silliman University-Angelo King Center for Research and Environmental Management, Silliman University, Department of Soil and Water Conservation, Centro de Edafologia y Biologia Aplicada del Segura, SAD Paysage (SAD Paysage), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Abeilles et Environnement (AE), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Patrimoines locaux, Environnement et Globalisation (PALOC), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU), Università degli studi di Trieste = University of Trieste, Université Laval [Québec] (ULaval), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), The Royal Society, Natural Environment Research Council (NERC), Kwame Nkrumah University of Science and Technology [GHANA] (KNUST), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Westerdijk Fungal Biodiversity Institute, Westerdijk Fungal Biodiversity Institute - Yeast Research, Hudson, Lawrence N [0000-0003-4072-7469], Choimes, Argyrios [0000-0002-9849-1500], Jung, Martin [0000-0002-7569-1390], Apollo - University of Cambridge Repository, Hudson, Lawrence N, Newbold, Tim, Contu, Sara, Hill, Samantha L. L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R. P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., Booth, Hollie, Burton, Victoria J., Chng, Charlotte W. T., Choimes, Argyrio, Correia, David L. P., Day, Julie, Echeverría Londoño, Susy, Emerson, Susan R., Gao, Di, Garon, Morgan, Harrison, Michelle L. K., Ingram, Daniel J., Jung, Martin, Kemp, Victoria, Kirkpatrick, Lucinda, Martin, Callum D., Pan, Yuan, Pask Hale, Gwilym D., Pynegar, Edwin L., Robinson, Alexandra N., Sanchez Ortiz, Katia, Senior, Rebecca A., Simmons, Benno I., White, Hannah J., Zhang, Hanbin, Aben, Job, Abrahamczyk, Stefan, Adum, Gilbert B., Aguilar Barquero, Virginia, Aizen, Marcelo A., Albertos, Belén, Alcala, E. L., del Mar Alguacil, Maria, Alignier, Audrey, Ancrenaz, Marc, Andersen, Alan N., Arbeláez Cortés, Enrique, Armbrecht, Inge, Arroyo Rodríguez, Víctor, Aumann, Tom, Axmacher, Jan C., Azhar, Badrul, Azpiroz, Adrián B., Baeten, Lander, Bakayoko, Adama, Báldi, Andrá, Banks, John E., Baral, Sharad K., Barlow, Jo, Barratt, Barbara I. P., Barrico, Lurde, Bartolommei, Paola, Barton, Diane M., Basset, Yve, Batáry, Péter, Bates, Adam J., Baur, Bruno, Bayne, Erin M., Beja, Pedro, Benedick, Suzan, Berg, Åke, Bernard, Henry, Berry, Nicholas J., Bhatt, Dinesh, Bicknell, Jake E., Bihn, Jochen H., Blake, Robin J., Bobo, Kadiri S., Bóçon, Roberto, Boekhout, Teun, Böhning Gaese, Katrin, Bonham, Kevin J., Borges, Paulo A. V., Borges, Sérgio H., Boutin, Céline, Bouyer, Jérémy, Bragagnolo, Cibele, Brandt, Jodi S., Brearley, Francis Q., Brito, Isabel, Bros, Vicenç, Brunet, Jörg, Buczkowski, Grzegorz, Buddle, Christopher M., Bugter, Rob, Buscardo, Erika, Buse, Jörn, Cabra García, Jimmy, Cáceres, Nilton C., Cagle, Nicolette L., Calviño Cancela, María, Cameron, Sydney A., Cancello, Eliana M., Caparrós, Rut, Cardoso, Pedro, Carpenter, Dan, Carrijo, Tiago F., Carvalho, Anelena L., Cassano, Camila R., Castro, Helena, Castro Luna, Alejandro A., Rolando, Cerda B., Cerezo, Alexi, Chapman, Kim Alan, Chauvat, Matthieu, Christensen, Morten, Clarke, Francis M., Cleary, Daniel F. R., Colombo, Giorgio, Connop, Stuart P., Craig, Michael D., Cruz López, Leopoldo, Cunningham, Saul A., D'Aniello, Biagio, D'Cruze, Neil, da Silva, Pedro Giovâni, Dallimer, Martin, Danquah, Emmanuel, Darvill, Ben, Dauber, Jen, Davis, Adrian L. V., Dawson, Jeff, de Sassi, Claudio, de Thoisy, Benoit, Deheuvels, Olivier, Dejean, Alain, Devineau, Jean Loui, Diekötter, Tim, Dolia, Jignasu V., Domínguez, Erwin, Dominguez Haydar, Yamileth, Dorn, Silvia, Draper, Isabel, Dreber, Niel, Dumont, Bertrand, Dures, Simon G., Dynesius, Mat, Edenius, Lar, Eggleton, Paul, Eigenbrod, Felix, Elek, Zoltán, Entling, Martin H., Esler, Karen J., de Lima, Ricardo F., Faruk, Aisyah, Farwig, Nina, Fayle, Tom M., Felicioli, Antonio, Felton, Annika M., Fensham, Roderick J., Fernandez, Ignacio C., Ferreira, Catarina C., Ficetola, Gentile F., Fiera, Cristina, Filgueiras, Bruno K. C., Fırıncıoğlu, Hüseyin K., Flaspohler, David, Floren, Andrea, Fonte, Steven J., Fournier, Anne, Fowler, Robert E., Franzén, Marku, Fraser, Lauchlan H., Fredriksson, Gabriella M., Freire, Geraldo B., Frizzo, Tiago L. M., Fukuda, Daisuke, Furlani, Dario, Gaigher, René, Ganzhorn, Jörg U., García, Karla P., Garcia R, Juan C., Garden, Jenni G., Garilleti, Ricardo, Ge, Bao Ming, Gendreau Berthiaume, Benoit, Gerard, Philippa J., Gheler Costa, Carla, Gilbert, Benjamin, Giordani, Paolo, Giordano, Simonetta, Golodets, Carly, Gomes, Laurens G. L., Gould, Rachelle K., Goulson, Dave, Gove, Aaron D., Granjon, Laurent, Grass, Ingo, Gray, Claudia L., Grogan, Jame, Gu, Weibin, Guardiola, Moisè, Gunawardene, Nihara R., Gutierrez, Alvaro G., Gutiérrez Lamus, Doris L., Haarmeyer, Daniela H., Hanley, Mick E., Hanson, Thor, Hashim, Nor R., Hassan, Shombe N., Hatfield, Richard G., Hawes, Joseph E., Hayward, Matt W., Hébert, Christian, Helden, Alvin J., Henden, John André, Henschel, Philipp, Hernández, Lionel, Herrera, James P., Herrmann, Farina, Herzog, Felix, Higuera Diaz, Diego, Hilje, Branko, Höfer, Hubert, Hoffmann, Anke, Horgan, Finbarr G., Hornung, Elisabeth, Horváth, Roland, Hylander, Kristoffer, Isaacs Cubides, Paola, Ishida, Hiroaki, Ishitani, Masahiro, Jacobs, Carmen T., Jaramillo, Víctor J., Jauker, Birgit, Hernández, F. Jiménez, Johnson, McKenzie F., Jolli, Virat, Jonsell, Mat, Juliani, S. Nur, Jung, Thomas S., Kapoor, Vena, Kappes, Heike, Kati, Vassiliki, Katovai, Eric, Kellner, Klau, Kessler, Michael, Kirby, Kathryn R., Kittle, Andrew M., Knight, Mairi E., Knop, Eva, Kohler, Florian, Koivula, Matti, Kolb, Annette, Kone, Mouhamadou, Kőrösi, Ádám, Krauss, Jochen, Kumar, Ajith, Kumar, Raman, Kurz, David J., Kutt, Alex S., Lachat, Thibault, Lantschner, Victoria, Lara, Francisco, Lasky, Jesse R., Latta, Steven C., Laurance, William F., Lavelle, Patrick, Le Féon, Violette, Lebuhn, Gretchen, Légaré, Jean Philippe, Lehouck, Valérie, Lencinas, María V., Lentini, Pia E., Letcher, Susan G., Li, Qi, Litchwark, Simon A., Littlewood, Nick A., Liu, Yunhui, Lo Man Hung, Nancy, López Quintero, Carlos A., Louhaichi, Mounir, Lövei, Gabor L., Lucas Borja, Manuel Esteban, Luja, Victor H., Luskin, Matthew S., MacSwiney G, M. Cristina, Maeto, Kaoru, Magura, Tibor, Mallari, Neil Aldrin, Malone, Louise A., Malonza, Patrick K., Malumbres Olarte, Jagoba, Mandujano, Salvador, Måren, Inger E., Marin Spiotta, Erika, Marsh, Charles J., Marshall, E. J. P., Martínez, Eliana, Martínez Pastur, Guillermo, Moreno Mateos, David, Mayfield, Margaret M., Mazimpaka, Vicente, Mccarthy, Jennifer L., Mccarthy, Kyle P., Mcfrederick, Quinn S., Mcnamara, Sean, Medina, Nagore G., Medina, Rafael, Mena, Jose L., Mico, Estefania, Mikusinski, Grzegorz, Milder, Jeffrey C., Miller, James R., Miranda Esquivel, Daniel R., Moir, Melinda L., Morales, Carolina L., Muchane, Mary N., Muchane, Muchai, Mudri Stojnic, Sonja, Munira, A. Nur, Muoñz Alonso, Antonio, Munyekenye, B. F., Naidoo, Robin, Naithani, A., Nakagawa, Michiko, Nakamura, Akihiro, Nakashima, Yoshihiro, Naoe, Shoji, Nates Parra, Guiomar, Navarrete Gutierrez, Dario A., Navarro Iriarte, Lui, Ndang'Ang'A, Paul K., Neuschulz, Eike L., Ngai, Jacqueline T., Nicolas, Violaine, Nilsson, Sven G., Noreika, Norberta, Norfolk, Olivia, Noriega, Jorge Ari, Norton, David A., Nöske, Nicole M., Nowakowski, A. Justin, Numa, Catherine, O'Dea, Niall, O'Farrell, Patrick J., Oduro, William, Oertli, Sabine, Ofori Boateng, Caleb, Oke, Christopher Omamoke, Oostra, Vicencio, Osgathorpe, Lynne M., Otavo, Samuel Eduardo, Page, Navendu V., Paritsis, Juan, Parra H, Alejandro, Parry, Luke, Pe'Er, Guy, Pearman, Peter B., Pelegrin, Nicolá, Pélissier, Raphaël, Peres, Carlos A., Peri, Pablo L., Persson, Anna S., Petanidou, Theodora, Peters, Marcell K., Pethiyagoda, Rohan S., Phalan, Ben, Philips, T. Keith, Pillsbury, Finn C., Pincheira Ulbrich, Jimmy, Pineda, Eduardo, Pino, Joan, Pizarro Araya, Jaime, Plumptre, A. J., Poggio, Santiago L., Politi, Natalia, Pons, Pere, Poveda, Katja, Power, Eileen F., Presley, Steven J., Proença, Vânia, Quaranta, Marino, Quintero, Carolina, Rader, Romina, Ramesh, B. R., Ramirez Pinilla, Martha P., Ranganathan, Jai, Rasmussen, Clau, Redpath Downing, Nicola A., Reid, J. Leighton, Reis, Yana T., Rey Benayas, José M., Rey Velasco, Juan Carlo, Reynolds, Chevonne, Ribeiro, Danilo Bandini, Richards, Miriam H., Richardson, Barbara A., Richardson, Michael J., Ríos, Rodrigo Macip, Robinson, Richard, Robles, Carolina A., Römbke, Jörg, Romero Duque, Luz Piedad, Rös, Matthia, Rosselli, Loreta, Rossiter, Stephen J., Roth, Dana S., Roulston, T'ai H., Rousseau, Laurent, Rubio, André V., Ruel, Jean Claude, Sadler, Jonathan P., Sáfián, Szabolc, Saldaña Vázquez, Romeo A., Sam, Katerina, Samnegård, Ulrika, Santana, Joana, Santos, Xavier, Savage, Jade, Schellhorn, Nancy A., Schilthuizen, Menno, Schmiedel, Ute, Schmitt, Christine B., Schon, Nicole L., Schüepp, Christof, Schumann, Katharina, Schweiger, Oliver, Scott, Dawn M., Scott, Kenneth A., Sedlock, Jodi L., Seefeldt, Steven S., Shahabuddin, Ghazala, Shannon, Graeme, Sheil, Dougla, Sheldon, Frederick H., Shochat, Eyal, Siebert, Stefan J., Silva, Fernando A. B., Simonetti, Javier A., Slade, Eleanor M., Smith, Jo, Smith Pardo, Allan H., Sodhi, Navjot S., Somarriba, Eduardo J., Sosa, Ramón A., Soto Quiroga, Grimaldo, St Laurent, Martin Hugue, Starzomski, Brian M., Stefanescu, Constanti, Steffan Dewenter, Ingolf, Stouffer, Philip C., Stout, Jane C., Strauch, Ayron M., Struebig, Matthew J., Su, Zhimin, Suarez Rubio, Marcela, Sugiura, Shinji, Summerville, Keith S., Sung, Yik Hei, Sutrisno, Hari, Svenning, Jens Christian, Teder, Tiit, Threlfall, Caragh G., Tiitsaar, Anu, Todd, Jacqui H., Tonietto, Rebecca K., Torre, Ignasi, Tóthmérész, Béla, Tscharntke, Teja, Turner, Edgar C., Tylianakis, Jason M., Uehara Prado, Marcio, Urbina Cardona, Nicola, Vallan, Deni, Vanbergen, Adam J., Vasconcelos, Heraldo L., Vassilev, Kiril, Verboven, Hans A. F., Verdasca, Maria João, Verdú, José R., Vergara, Carlos H., Vergara, Pablo M., Verhulst, Jort, Virgilio, Massimiliano, Vu, Lien Van, Waite, Edward M., Walker, Tony R., Wang, Hua Feng, Wang, Yanping, Watling, James I., Weller, Britta, Wells, Konstan, Westphal, Catrin, Wiafe, Edward D., Williams, Christopher D., Willig, Michael R., Woinarski, John C. Z., Wolf, Jan H. D., Wolters, Volkmar, Woodcock, Ben A., Wu, Jihua, Wunderle, Joseph M., Yamaura, Yuichi, Yoshikura, Satoko, Yu, Douglas W., Zaitsev, Andrey S., Zeidler, Juliane, Zou, Fasheng, Collen, Ben, Ewers, Rob M., Mace, Georgina M., Purves, Drew W., Scharlemann, Jörn P. W., Purvis, Andy, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Natural History Museum, 3Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment, Research, University College London ( UCL ), Department of Life Sciences, Universita di Trieste, Auburn University, Queen Mary University of London ( QMUL ), Royal Holloway [University of London] ( RHUL ), ( SFIRC ), University of Antwerp ( UA ), University of Bonn (Rheinische Friedrich-Wilhelms), Kwame Nkrumah University of Science and Technology ( KNUST ), Universidad de Costa Rica, Laboratorio Ecotono-CRUB, Universidad Nacional del Comahue, SAD Paysage ( SAD Paysage ), Institut National de la Recherche Agronomique ( INRA ) -AGROCAMPUS OUEST, Dynamiques Forestières dans l'Espace Rural ( DYNAFOR ), Institut National Polytechnique [Toulouse] ( INP ) -Institut National de la Recherche Agronomique ( INRA ) -Ecole Nationale Supérieure Agronomique de Toulouse, Contrôle des maladies animales exotiques et émergentes [Montpellier] ( CMAEE ), Institut National de la Recherche Agronomique ( INRA ) -Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR15, Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ), Centre de Biologie pour la Gestion des Populations ( CBGP ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Université de Montpellier ( UM ) -Institut de Recherche pour le Développement ( IRD [France-Sud] ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Abeilles et Environnement ( AE ), and Institut National de la Recherche Agronomique ( INRA ) -Université d'Avignon et des Pays de Vaucluse ( UAPV )
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VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488 ,Biodiversité et Ecologie ,data sharing ,habitat ,Biológiai tudományok ,Q1 ,BIRD SPECIES RICHNESS ,TROPICAL DRY FOREST ,VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488 ,MEXICAN COFFEE PLANTATIONS ,Természettudományok ,Data and Information ,Milieux et Changements globaux ,LOWLAND ,ComputingMilieux_MISCELLANEOUS ,Original Research ,Ecology ,global biodiversity modeling ,global change ,habitat destruction ,land use ,Ecology, Evolution, Behavior and Systematics ,Nature and Landscape Conservation ,LAND-USE CHANGE ,[ SDE.MCG ] Environmental Sciences/Global Changes ,Chemistry ,Earth and Related Environmental Sciences ,Evolution ,[SDE.MCG]Environmental Sciences/Global Changes ,INTENSIVELY MANAGED FARMLAND ,Ingénierie de l'environnement ,CARABID BEETLE ASSEMBLAGES ,FRUIT-FEEDING BUTTERFLIES ,Ecology and Environment ,Biodiversity and Ecology ,keywords: data sharing ,Behavior and Systematics ,Biology ,Ekologi ,[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology ,QL ,DIPTEROCARP FOREST ,QH ,PLANT COMMUNITY COMPOSITION ,Geovetenskap och miljövetenskap ,Biology and Life Sciences ,destruction ,Ecology, Evolution, Behavior and Systematic ,URBAN-RURAL GRADIENT ,Earth and Environmental Sciences ,Environnement et Société ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology - Abstract
Source at https://doi.org/10.1002/ece3.2579. The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
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- 2017
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22. Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.
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Nie X, Yang J, Li X, Zhan T, Liu D, Yan H, Wei Y, Liu X, Chen J, Gong G, Wu Z, Yang Z, Wen M, Gu W, Pan Y, Jiang Y, Meng X, Liu T, Cheng J, Li Z, Miao Z, and Liu L
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- Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Clinical Decision-Making, Databases, Factual, Decision Support Techniques, Prospective Studies, Reproducibility of Results, Risk Assessment, Risk Factors, Time Factors, Treatment Outcome, Endovascular Procedures adverse effects, Endovascular Procedures instrumentation, Ischemic Stroke diagnosis, Ischemic Stroke therapy, Ischemic Stroke physiopathology, Machine Learning, Medical Futility, Predictive Value of Tests
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Background: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation., Methods: Hybrid machine learning models were developed to address six clinical scenarios within the EVT and perioperative management workflow. These models were trained on a prospective database using hybrid feature selection technique to predict futile recanalisation following EVT. The optimal model was validated and compared with existing models and scoring systems in a multicentre prospective cohort to develop a hybrid machine learning-based risk stratification system for futile recanalisation prediction., Results: Using a hybrid feature selection approach, we trained and tested multiple classifiers on two independent patient cohorts (n=1122) to develop a hybrid machine learning-based prediction model. The model demonstrated superior discriminative ability compared with other models and scoring systems (area under the curve=0.80, 95% CI 0.73 to 0.87) and was transformed into a web application (RESCUE-FR Index) that provides a risk stratification system for individual prediction (accessible online at fr-index.biomind.cn/RESCUE-FR/)., Conclusions: The proposed hybrid machine learning approach could be used as an individualised risk prediction model to facilitate adherence to clinical practice guidelines and shared decision-making for optimal candidate selection and prognosis assessment in patients undergoing EVT., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.)
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- 2024
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23. Semi-automatic computed tomography angiography quantification assessment is an alternative method to digital subtraction angiography in intracranial stenosis: a multicenter study.
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Yan L, Yu Y, Yang B, Fu W, Zhang Z, Jia B, Lyu J, Hou Z, Jiang C, Xu Z, Sun D, Xu P, Li Y, Gu W, Ma G, Wang Y, Miao Z, Lou X, and Ma N
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Background: The recent randomized controlled trials studying intracranial atherosclerotic stenosis (ICAS) have used digital subtraction angiography (DSA) to quantify stenosis and enroll patients. However, some disadvantages of DSA such as invasive features, contrast agent overuse, and X-ray radiation overexposure, were not considered in these studies. This study aimed to explore whether computed tomography angiography (CTA) with semi-automatic analysis could be an alternative method to DSA in quantifying the absolute stenotic degree in clinical trials., Methods: Patients with 50-99% ICAS were consecutively screened, prospectively enrolled, and underwent CTA and DSA between March 2021 and December 2021 at 6 centers. This study was registered at www.chictr.org.cn (ChiCTR2100052925). The absolute stenotic degree of ICAS on CTA with semi-automatic analysis was calculated by several protocols using minimal/maximum/mean diameters of stenosis and reference site from a semi-automatic analysis software. Intraclass correlation coefficient (ICC) was used to evaluate the reliabilities of quantifying stenotic degree on CTA. The optimal protocol for quantifying ICAS on CTA was explored. The agreements of quantifying ICAS in calcified or non-calcified lesions and 50-69% or 70-99% stenosis on CTA and DSA were assessed., Results: A total of 191 participants (58.8±10.7 years; 148 men) with 202 lesions were enrolled. The optimal protocol for quantifying ICAS on CTA was calculated as (1 - the minimal diameter of stenosis/the mean diameter of reference) × 100% for its highest agreement with DSA [ICC, 0.955, 95% confidence interval (CI): 0.944-0.966, P<0.001]. Among the 202 lesions, 80.2% (162/202) exhibited severe stenosis on DSA. The accuracy of CTA in detecting severe ICAS was excellent (sensitivity =95.1%, positive predictive value =98.1%). The agreements between DSA and CTA in non-calcified lesions (ICC, 0.960 vs. 0.849) and severe stenosis (ICC, 0.918 vs. 0.841) were higher than those in calcified lesions and moderate stenosis., Conclusions: CTA with semi-automatic analysis demonstrated an excellent agreement with DSA in quantifying ICAS, making it promising to replace DSA for the measurement of absolute stenotic degree in clinical trials., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-23-1343/coif). The authors have no conflicts of interest to declare., (2024 Quantitative Imaging in Medicine and Surgery. All rights reserved.)
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- 2024
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24. High-Resolution Magnetic Resonance Imaging in Endovascular Treatment of Vertebrobasilar Junction Stenosis.
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Huang R, Gao F, Mo D, Yang M, Hou Z, Liu Y, Cui R, Kang K, Gu W, Miao Z, and Ma N
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- Humans, Constriction, Pathologic, Vertebral Artery diagnostic imaging, Vertebral Artery surgery, Vertebral Artery pathology, Magnetic Resonance Imaging methods, Vertebrobasilar Insufficiency diagnostic imaging, Vertebrobasilar Insufficiency surgery
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Introduction: Vertebrobasilar junction (VBJ) stenosis is a challenge in endovascular treatment due to structural variants and complexities. The role of high-resolution magnetic resonance imaging (HRMRI) in endovascular treatment for patients with severe VBJ stenosis is uncertain., Case Report: Four patients with symptomatic VBJ stenosis underwent HRMRI of the vessel wall before endovascular treatment. In 3 patients, the VBJ could not be visualized on luminal imaging. One of them had a hypoplastic artery and 2 of them had severe stenotic arteries on HRMRI. HRMRI showed an artery with a negative remodeling in a patient with a hypoplastic vertebral artery. One patient had intraplaque hemorrhage and calcification, and 2 patients had calcification in VBJ lesions. Endovascular treatment was performed utilizing HRMRI findings to guide the decision-making process., Conclusion: HRMRI provides additional information about the structure and angle of the VBJ, the characteristics and vulnerability of the plaques, and the lesion size, thus helping to improve the operation process and reduce the risk of complications., Competing Interests: The authors declare no conflict of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2023
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25. Endovascular treatment with or without intravenous alteplase for acute ischaemic stroke due to basilar artery occlusion.
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Nie X, Wang D, Pu Y, Wei Y, Lu Q, Yan H, Liu X, Zheng L, Liu J, Yang X, Ding Y, Liu D, Duan W, Zhang Z, Yang Z, Wen M, Gu W, Hou X, Leng X, Pan Y, Miao Z, and Liu L
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- Basilar Artery diagnostic imaging, Cohort Studies, Humans, Multicenter Studies as Topic, Thrombectomy adverse effects, Tissue Plasminogen Activator adverse effects, Treatment Outcome, Arterial Occlusive Diseases therapy, Brain Ischemia diagnostic imaging, Brain Ischemia drug therapy, Ischemic Stroke diagnostic imaging, Ischemic Stroke drug therapy, Stroke diagnostic imaging, Stroke drug therapy
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Background and Purpose: It remains controversial if endovascular treatment (EVT) can improve the outcome of patients with acute basilar artery occlusion (BAO). This study aims to compare the functional outcomes between EVT with and without intravenous thrombolysis (IVT) first in patients who had acute ischaemic stroke (AIS) due to BAO., Methods: Patients who had AIS with BAO who underwent EVT within 24 hours of onset were enrolled in this multicentre cohort study, and the efficacy and safety were compared between IVT+EVT and direct EVT. The primary outcome was 90-day functional independence. All outcomes were assessed with adjusted OR (aOR) from the multivariable logistic regression. In addition, a meta-analysis was performed on all recently published pivotal studies on functional independence after EVT in patients with BAO., Results: Of 310 enrolled patients with BAO, 241 (78%) were treated with direct EVT and 69 (22%) with IVT+EVT. Direct EVT was associated with a worse functional outcome (aOR, 0.46 (95% CI 0.24 to 0.85), p=0.01). IVT+EVT was associated with a lower percentage of patients who needed ≥3 passes of stent retriever (10.14% vs 20.75%). The meta-analysis regression revealed a potential positive correlation between bridging with IVT first and functional independence (r=0.14 (95% CI 0.05 to 0.24), p<0.01)., Conclusions: This study showed that compared with direct EVT, EVT with IVT first was associated with better functional outcomes in patients with BAO treated within 24 hours of onset. The meta-analysis demonstrated similar favourable efficacy of IVT first followed by EVT in patients with BAO., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2022
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26. Exploring diagnostic performance of T2 mapping in diffuse glioma grading.
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Gu W, Fang S, Hou X, Ma D, and Li S
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Background: To evaluate the diagnostic performance of T2 mapping in differentiating WHO grade II glioma from high-grade glioma (HGG)., Methods: We conducted a single-center, retrospective diagnostic study. Confirmed diffuse glioma (WHO grade II-IV) patients who underwent post-contrast T1-weighted imaging, T2-weighted imaging, and T2 mapping were included. All diagnoses were based on histological and molecular tests. Seventy-five percent of cases were subsampled to generate receiver operating characteristic (ROC) curves and areas under the curve (AUC), while the remaining cases were used to test the accuracy of T2 mapping. Subsampling was repeated four times. Age, T2 relaxation time, and contrast-enhancement status were used to generate a multivariable ROC curve. T2 relaxation time was also used to generate ROC curves to predict the isocitrate dehydrogenase (IDH) status., Results: A total of 159 patients were included in the study. After four repeats of subsampling, the AUCs of the T2 mapping ROC curve were 0.801 (95% CI: 0.724-0.879), 0.795 (95% CI: 0.714-0.875), 0.803 (95% CI: 0.723-0.884), and 0.801 (95% CI: 0.716-0.886), with an average sensitivity of 0.753 and an average specificity of 0.767. When applied to the remaining 25% of cases, the accuracy was 75%, 93.75%, 82.50%, and 71.74%. The AUC of the multivariable ROC was 0.927 (95% CI: 0.882-0.971). IDH-mutant and IDH-wildtype gliomas have significantly different T2 relaxation times (146.28 and 124.10 ms, respectively; P=0.001), and the AUC of IDH-mutant prediction was 0.687 (95% CI: 0.585-0.789)., Conclusions: Quantitative T2 mapping differentiated WHO grade II glioma from HGG with moderate sensitivity and specificity. Given the advantages of short acquisition times and the absence of a contrast agent, our study suggests the application of T2 mapping in pre-operative glioma grading is feasible., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-916). The authors have no conflicts of interest to declare., (2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.)
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- 2021
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27. Adverse Outcomes Associated With Higher Mean Blood Pressure and Greater Blood Pressure Variability Immediately After Successful Embolectomy in Those With Acute Ischemic Stroke, and the Influence of Pretreatment Collateral Circulation Status.
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Liu D, Nie X, Pan Y, Yan H, Pu Y, Wei Y, Cai Y, Ding Y, Lu Q, Zhang Z, Gu W, Hou X, Yang Z, Wen M, Wang P, Ma G, Ma N, Miao Z, Leng X, Yan B, Davis SM, Wang Y, and Liu L
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- Acute Disease, Aged, Cerebral Angiography methods, Female, Follow-Up Studies, Humans, Hypertension physiopathology, Ischemic Stroke diagnosis, Ischemic Stroke surgery, Male, Preoperative Period, Prospective Studies, Treatment Outcome, Blood Pressure physiology, Collateral Circulation physiology, Embolectomy adverse effects, Endovascular Procedures adverse effects, Hypertension etiology, Ischemic Stroke physiopathology, Registries
- Abstract
Background To investigate whether collateral status could modify the associations between post-thrombectomy blood pressure (BP) measures and outcomes. Methods and Results Patients with anterior-circulation large-vessel-occlusion successfully recanalized in a multicenter endovascular thrombectomy registry were enrolled. Pretreatment collateral status was graded and dichotomized (good/poor) in angiography. Maximum, minimum, and mean systolic BP (SBP) and BP variability (assessed by the SD, coefficient of variation) during the initial 24 hours after endovascular thrombectomy were obtained. The primary outcome was unfavorable 90-day outcome (modified Rankin Scale score 3-6). Secondary outcomes included symptomatic intracranial hemorrhage and 90-day mortality. Adjusted odds ratios (aOR) of BP parameters over the outcomes were obtained in all patients and in patients with good/poor collaterals. Among 596 patients (mean age 66 years; 59.9% males), 302 (50.7%) patients had unfavorable 90-day outcome. In multivariable analyses, higher mean SBP (aOR, 1.59 per 10 mm Hg increment; 95% CI, 1.26-2.02; P <0.001), mean SBP >140 mm Hg (versus ≤120 mm Hg; aOR, 4.27; 95% CI, 1.66-10.97; P =0.002), and higher SBP SD (aOR, 1.08 per 1-SD increment; 95% CI, 1.01-1.16; P =0.02) were respectively associated with unfavorable 90-day outcome in patients with poor collateral but not in those with good collateral. A marginal interaction between SBP coefficient of variation tertiles and collaterals on 90-day functional outcome ( P for interaction, 0.09) was observed. A significant interaction between SBP coefficient of variation tertiles and collaterals on 90-day mortality ( P for interaction, 0.03) was observed. Conclusions Higher postprocedural BP is associated with 90-day unfavorable outcomes after successful endovascular thrombectomy in patients with poor collateral. Registration URL: https://www.chictr.org.cn; Unique identifier: ChiCTR1900022154.
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- 2021
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28. Outcome of endovascular recanalization for intracranial in-stent restenosis.
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Kang K, Gao F, Mo D, Yang M, Liu Y, Yang B, Chen X, Gu W, Ma G, Zhao X, Miao ZR, and Ma N
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- Aged, Angioplasty, Balloon adverse effects, Angioplasty, Balloon methods, Endovascular Procedures adverse effects, Female, Graft Occlusion, Vascular diagnostic imaging, Humans, Male, Middle Aged, Retrospective Studies, Stroke diagnostic imaging, Treatment Outcome, Endovascular Procedures methods, Graft Occlusion, Vascular surgery, Stents adverse effects, Stroke surgery
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Background and Purpose: In-stent restenosis (ISR) is one of the long-term adverse outcomes of endovascular angioplasty and stenting for symptomatic intracranial arterial stenosis. In this study, we try to evaluate the safety and efficacy of endovascular treatment for intracranial ISR., Methods: We retrospectively collected patients with intracranial ISR who underwent endovascular treatment from June 2012 to August 2019 at a high-volume stroke center. Successful recanalization was defined as ≤30% residual stenosis. Stroke, myocardial infarction, and death after stenting within 30 days were used to evaluate periprocedural safety. Recurrent stroke in the territory of the culprit vessel and re-ISR in patients with clinical and vascular imaging follow-up data were used to evaluate the long-term outcome., Results: 32 patients (59.6±7.2 years old) with ISR were recruited, including 22 patients (68.8%) treated with balloon dilatation, 8 patients (25%) with stenting, and 2 patients (6.3%) with failed procedures. Successful recanalization was achieved in 71.9% (23/32) of patients. There was no stroke, myocardial infarction or death within 30 days after the procedure. Recurrent stroke was found in 10.7% (3/28) of the patients, and re-ISR was found in 42.1% (8/19) of the patients. The re-ISR rate was lower in patients with stenting than in those with balloon dilatation (0% vs 57.1%, p=0.090), and in patients with successful recanalization than in those with unsuccessful recanalization (33.3% vs 75.0%, p=0.352), but with no statistically significant difference., Conclusions: The periprocedural safety of endovascular treatment for intracranial ISR may be acceptable, but the long-term rates of recurrent stroke and re-ISR remain at high levels., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2020
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29. Preliminary application of CT perfusion source images for evaluating regional collateral circulation in unilateral Moyamoya disease.
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Xue J, Peng Y, Zhang Y, Chen W, Pan Y, Qi Y, Hao L, Gu W, Wang N, and Gao P
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Background: Collateral flow is associated with clinical outcomes for patients with Moyamoya disease and served as a parameter for patient selection of therapeutic strategies. Therefore, we explored whether a noninvasive imaging modality, computed tomography perfusion (CTP) source images (CTP-Sis), could be used to identify the presence and intensity of collateral flow using digital subtraction angiography (DSA) as a gold standard for collateral flow., Methods: CTP-Sis and DSA were performed for 24 patients with unilateral Moyamoya disease. A collateral grading system was developed based on arterial and venous phase CTP-Sis, imitating the DSA score system. Two neuroradiologists scored the DSA images using a collateral grading scale for the regions of interest corresponding to the Alberta Stroke Program Early computed tomography Score (ASPECTS) methodology. Another two neuroradiologists scored CTP-Sis in a similar manner. Agreement between the CTP-Sis and DSA consensus scores was determined, including kappa statistics., Results: The agreement between the CTP-Sis and DSA consensus readings was moderate to strong, with a weighted kappa value of 0.768 [95% confidence interval (CI), 0.703-0.832], but there was a better agreement for readers of CTP-Sis, as compared with those of DSA. The sensitivity and specificity for identifying collaterals with CTP-Sis were 0.714 (95% CI, 0.578-0.851) and 0.995 (95% CI, 0.985-1.000), respectively., Conclusions: CTP-Sis could help identify in a noninvasive manner the presence and intensity of collateral flow in patients with unilateral Moyamoya disease using DSA as a gold standard. Further study with a large number of cases is warranted. Further application of this method to other cerebrovascular diseases including acute ischemic stroke can also be warranted., Competing Interests: Conflicts of Interest: The authors have no conflicts of interest to declare.
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- 2019
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30. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project.
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Hudson LN, Newbold T, Contu S, Hill SL, Lysenko I, De Palma A, Phillips HR, Alhusseini TI, Bedford FE, Bennett DJ, Booth H, Burton VJ, Chng CW, Choimes A, Correia DL, Day J, Echeverría-Londoño S, Emerson SR, Gao D, Garon M, Harrison ML, Ingram DJ, Jung M, Kemp V, Kirkpatrick L, Martin CD, Pan Y, Pask-Hale GD, Pynegar EL, Robinson AN, Sanchez-Ortiz K, Senior RA, Simmons BI, White HJ, Zhang H, Aben J, Abrahamczyk S, Adum GB, Aguilar-Barquero V, Aizen MA, Albertos B, Alcala EL, Del Mar Alguacil M, Alignier A, Ancrenaz M, Andersen AN, Arbeláez-Cortés E, Armbrecht I, Arroyo-Rodríguez V, Aumann T, Axmacher JC, Azhar B, Azpiroz AB, Baeten L, Bakayoko A, Báldi A, Banks JE, Baral SK, Barlow J, Barratt BI, Barrico L, Bartolommei P, Barton DM, Basset Y, Batáry P, Bates AJ, Baur B, Bayne EM, Beja P, Benedick S, Berg Å, Bernard H, Berry NJ, Bhatt D, Bicknell JE, Bihn JH, Blake RJ, Bobo KS, Bóçon R, Boekhout T, Böhning-Gaese K, Bonham KJ, Borges PA, Borges SH, Boutin C, Bouyer J, Bragagnolo C, Brandt JS, Brearley FQ, Brito I, Bros V, Brunet J, Buczkowski G, Buddle CM, Bugter R, Buscardo E, Buse J, Cabra-García J, Cáceres NC, Cagle NL, Calviño-Cancela M, Cameron SA, Cancello EM, Caparrós R, Cardoso P, Carpenter D, Carrijo TF, Carvalho AL, Cassano CR, Castro H, Castro-Luna AA, Rolando CB, Cerezo A, Chapman KA, Chauvat M, Christensen M, Clarke FM, Cleary DF, Colombo G, Connop SP, Craig MD, Cruz-López L, Cunningham SA, D'Aniello B, D'Cruze N, da Silva PG, Dallimer M, Danquah E, Darvill B, Dauber J, Davis AL, Dawson J, de Sassi C, de Thoisy B, Deheuvels O, Dejean A, Devineau JL, Diekötter T, Dolia JV, Domínguez E, Dominguez-Haydar Y, Dorn S, Draper I, Dreber N, Dumont B, Dures SG, Dynesius M, Edenius L, Eggleton P, Eigenbrod F, Elek Z, Entling MH, Esler KJ, de Lima RF, Faruk A, Farwig N, Fayle TM, Felicioli A, Felton AM, Fensham RJ, Fernandez IC, Ferreira CC, Ficetola GF, Fiera C, Filgueiras BK, Fırıncıoğlu HK, Flaspohler D, Floren A, Fonte SJ, Fournier A, Fowler RE, Franzén M, Fraser LH, Fredriksson GM, Freire GB Jr, Frizzo TL, Fukuda D, Furlani D, Gaigher R, Ganzhorn JU, García KP, Garcia-R JC, Garden JG, Garilleti R, Ge BM, Gendreau-Berthiaume B, Gerard PJ, Gheler-Costa C, Gilbert B, Giordani P, Giordano S, Golodets C, Gomes LG, Gould RK, Goulson D, Gove AD, Granjon L, Grass I, Gray CL, Grogan J, Gu W, Guardiola M, Gunawardene NR, Gutierrez AG, Gutiérrez-Lamus DL, Haarmeyer DH, Hanley ME, Hanson T, Hashim NR, Hassan SN, Hatfield RG, Hawes JE, Hayward MW, Hébert C, Helden AJ, Henden JA, Henschel P, Hernández L, Herrera JP, Herrmann F, Herzog F, Higuera-Diaz D, Hilje B, Höfer H, Hoffmann A, Horgan FG, Hornung E, Horváth R, Hylander K, Isaacs-Cubides P, Ishida H, Ishitani M, Jacobs CT, Jaramillo VJ, Jauker B, Hernández FJ, Johnson MF, Jolli V, Jonsell M, Juliani SN, Jung TS, Kapoor V, Kappes H, Kati V, Katovai E, Kellner K, Kessler M, Kirby KR, Kittle AM, Knight ME, Knop E, Kohler F, Koivula M, Kolb A, Kone M, Kőrösi Á, Krauss J, Kumar A, Kumar R, Kurz DJ, Kutt AS, Lachat T, Lantschner V, Lara F, Lasky JR, Latta SC, Laurance WF, Lavelle P, Le Féon V, LeBuhn G, Légaré JP, Lehouck V, Lencinas MV, Lentini PE, Letcher SG, Li Q, Litchwark SA, Littlewood NA, Liu Y, Lo-Man-Hung N, López-Quintero CA, Louhaichi M, Lövei GL, Lucas-Borja ME, Luja VH, Luskin MS, MacSwiney G MC, Maeto K, Magura T, Mallari NA, Malone LA, Malonza PK, Malumbres-Olarte J, Mandujano S, Måren IE, Marin-Spiotta E, Marsh CJ, Marshall EJ, Martínez E, Martínez Pastur G, Moreno Mateos D, Mayfield MM, Mazimpaka V, McCarthy JL, McCarthy KP, McFrederick QS, McNamara S, Medina NG, Medina R, Mena JL, Mico E, Mikusinski G, Milder JC, Miller JR, Miranda-Esquivel DR, Moir ML, Morales CL, Muchane MN, Muchane M, Mudri-Stojnic S, Munira AN, Muoñz-Alonso A, Munyekenye BF, Naidoo R, Naithani A, Nakagawa M, Nakamura A, Nakashima Y, Naoe S, Nates-Parra G, Navarrete Gutierrez DA, Navarro-Iriarte L, Ndang'ang'a PK, Neuschulz EL, Ngai JT, Nicolas V, Nilsson SG, Noreika N, Norfolk O, Noriega JA, Norton DA, Nöske NM, Nowakowski AJ, Numa C, O'Dea N, O'Farrell PJ, Oduro W, Oertli S, Ofori-Boateng C, Oke CO, Oostra V, Osgathorpe LM, Otavo SE, Page NV, Paritsis J, Parra-H A, Parry L, Pe'er G, Pearman PB, Pelegrin N, Pélissier R, Peres CA, Peri PL, Persson AS, Petanidou T, Peters MK, Pethiyagoda RS, Phalan B, Philips TK, Pillsbury FC, Pincheira-Ulbrich J, Pineda E, Pino J, Pizarro-Araya J, Plumptre AJ, Poggio SL, Politi N, Pons P, Poveda K, Power EF, Presley SJ, Proença V, Quaranta M, Quintero C, Rader R, Ramesh BR, Ramirez-Pinilla MP, Ranganathan J, Rasmussen C, Redpath-Downing NA, Reid JL, Reis YT, Rey Benayas JM, Rey-Velasco JC, Reynolds C, Ribeiro DB, Richards MH, Richardson BA, Richardson MJ, Ríos RM, Robinson R, Robles CA, Römbke J, Romero-Duque LP, Rös M, Rosselli L, Rossiter SJ, Roth DS, Roulston TH, Rousseau L, Rubio AV, Ruel JC, Sadler JP, Sáfián S, Saldaña-Vázquez RA, Sam K, Samnegård U, Santana J, Santos X, Savage J, Schellhorn NA, Schilthuizen M, Schmiedel U, Schmitt CB, Schon NL, Schüepp C, Schumann K, Schweiger O, Scott DM, Scott KA, Sedlock JL, Seefeldt SS, Shahabuddin G, Shannon G, Sheil D, Sheldon FH, Shochat E, Siebert SJ, Silva FA, Simonetti JA, Slade EM, Smith J, Smith-Pardo AH, Sodhi NS, Somarriba EJ, Sosa RA, Soto Quiroga G, St-Laurent MH, Starzomski BM, Stefanescu C, Steffan-Dewenter I, Stouffer PC, Stout JC, Strauch AM, Struebig MJ, Su Z, Suarez-Rubio M, Sugiura S, Summerville KS, Sung YH, Sutrisno H, Svenning JC, Teder T, Threlfall CG, Tiitsaar A, Todd JH, Tonietto RK, Torre I, Tóthmérész B, Tscharntke T, Turner EC, Tylianakis JM, Uehara-Prado M, Urbina-Cardona N, Vallan D, Vanbergen AJ, Vasconcelos HL, Vassilev K, Verboven HA, Verdasca MJ, Verdú JR, Vergara CH, Vergara PM, Verhulst J, Virgilio M, Vu LV, Waite EM, Walker TR, Wang HF, Wang Y, Watling JI, Weller B, Wells K, Westphal C, Wiafe ED, Williams CD, Willig MR, Woinarski JC, Wolf JH, Wolters V, Woodcock BA, Wu J, Wunderle JM Jr, Yamaura Y, Yoshikura S, Yu DW, Zaitsev AS, Zeidler J, Zou F, Collen B, Ewers RM, Mace GM, Purves DW, Scharlemann JP, and Purvis A
- Abstract
The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
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- 2016
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