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2. Somatic GNA11/GNAQ variants in a cohort of Chinese children with phakomatosis pigmentovascularis

Author

Bin Zhang, Rui He, Riga Wu, Zhou Yang, Man Hu, Nan Zhang, Wu Guo, Zigang Xu, and Lin Ma

Subjects
Phakomatosis pigmentovascularis, GNA11, GNAQ, Somatic variant, Pediatrics, RJ1-570
Abstract

ABSTRACT Importance Postzygotic mutations in the GNAQ/GNA11 genes, which encode the G‐protein nucleotide binding protein alpha subunits, have been identified in patients with phakomatosis pigmentovascularis (PPV). However, little is known about the Chinese population. Objective To identify pathogenic mutations in pediatric patients with PPV within the Chinese population. Methods We performed whole‐exome sequencing (WES) using skin lesion tissues from pediatric patients diagnosed with PPV. Additionally, ultradeep‐targeted sequencing was conducted to validate the somatic mutations. A genotype‐phenotype correlation was analyzed by integrating data from previous reports with the findings of the present study. Results Thirteen patients were enrolled, all diagnosed with the cesioflammea type of PPV, except for one patient with an unclassifiable type. We identified somatic GNA11 c.547C>T (p.R183C) variant in seven patients and GNAQ c.548G>A (p.R183Q) in four patients, with low allelic fractions ranging from 2.1% to 8.6% through ultradeep sequencing. Besides, a GNAQ c.548G>A (p.R183Q) variant was detected through targeted sequencing in one of two patients who did not exhibit detectable variants via WES. The genotype‐phenotype correlation analysis, involving 15 patients with a GNA11 variant and 10 with a GNAQ variant, revealed that facial capillary malformation (87% vs. 50%, P = 0.075) and ocular melanocytosis (80% vs. 40%, P = 0.087) appeared to be more frequent in patients with GNA11 mutation compared to those with GNAQ mutations. All four patients diagnosed with cesiomarmorata type or overlapping cesioflammea and cesiomarmorata type PPV carried the GNA11 variant. Interpretation Our study demonstrated that the majority of PPV patients in the Chinese population carried a postzygotic variant of GNAQ/GNA11, thus further confirming the pathogenic role of GNAQ/GNA11 mosaicism in the development of PPV cesioflammea type.

Published
2024
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3. FSGT capsule inhibits IL‐1β‐induced inflammation in chondrocytes and ameliorates osteoarthritis by upregulating LncRNA PACER and downregulating COX2/PGE2

Author

Mingyu He, Jian Liu, Yanqiu Sun, Xiaolu Chen, Jue Wang, and Wu Gao

Subjects
FSGTC, inflammation, LNCRNA, osteoarthritis, retrospective data mining, Immunologic diseases. Allergy, RC581-607
Abstract

Abstract Objective To explore the efficacy and potential mechanism of Fengshi Gutong capsule (FSGTC) in osteoarthritis (OA) inflammation. Methods The impact of FSGTC on laboratory indicators of OA patients was explored using data mining technology and association rule analysis. Then, the OA cell model was constructed by inducing chondrocytes (CHs) with interleukin‐1β (IL‐1β). In the presence of FSGTC intervention, the regulatory mechanism of PACER/COX2/PGE2 in OA‐CH viability and inflammatory responses was evaluated. Results Retrospective data mining showed that FSGTC effectively reduced inflammation indexes (ESR, HCRP) of OA patients. Cell experiments showed that LncRNA PACER (PACER) silencing inhibited the proliferation activity of OA‐CHs, increased the level of COX2 protein, elevated the levels of PGE2, TNF‐α, and IL‐1β, and decreased the levels of IL‐4 and IL‐10 (p

Published
2024
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4. Influence of time‐to‐diagnosis on time‐to‐percutaneous coronary intervention for emergency department ST‐elevation myocardial infarction patients: Time‐to‐electrocardiogram matters

Author

Maame Yaa A. B. Yiadom, Wu Gong, Brian W. Patterson, Christopher W. Baugh, Angela M. Mills, Nicholas Gavin, Seth R. Podolsky, Bryn E. Mumma, Mary Tanski, Gilberto Salazar, Caitlin Azzo, Stephen C. Dorner, Kelsea Hadley, Sean M. Bloos, Gabrielle Bunney, Timothy J. Vogus, and Dandan Liu

Subjects
door‐to‐balloon time, door‐to‐ECG, electrocardiogram, percutaneous coronary intervention, STEMI, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

Abstract Objectives Earlier electrocardiogram (ECG) acquisition for ST‐elevation myocardial infarction (STEMI) is associated with earlier percutaneous coronary intervention (PCI) and better patient outcomes. However, the exact relationship between timely ECG and timely PCI is unclear. Methods We quantified the influence of door‐to‐ECG (D2E) time on ECG‐to‐PCI balloon (E2B) intervention in this three‐year retrospective cohort study, including patients from 10 geographically diverse emergency departments (EDs) co‐located with a PCI center. The study included 576 STEMI patients excluding those with a screening ECG before ED arrival or non‐diagnostic initial ED ECG. We used a linear mixed‐effects model to evaluate D2E's influence on E2B with piecewise linear terms for D2E times associated with time intervals designated as ED intake (0–10 min), triage (11–30 min), and main ED (>30 min). We adjusted for demographic and visit characteristics, past medical history, and included ED location as a random effect. Results The median E2B interval was longer (76 vs 68 min, p 10 min than in those with timely D2E. The proportion of patients identified at the intake, triage, and main ED intervals was 65.8%, 24.9%, and 9.7%, respectively. The D2E and E2B association was statistically significant in the triage phase, where a 1‐minute change in D2E was associated with a 1.24‐minute change in E2B (95% confidence interval [CI]: 0.44–2.05, p = 0.003). Conclusion Reducing D2E is associated with a shorter E2B. Targeting D2E reduction in patients currently diagnosed during triage (11–30 min) may be the greatest opportunity to improve D2B and could enable 24.9% more ED STEMI patients to achieve timely D2E.

Published
2024
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5. Cortical thickness and resting-state cardiac function across the lifespan: A cross-sectional pooled mega-analysis

Author

Koenig, J, Abler, B, Agartz, I, akerstedt, T, Andreassen, OA, Anthony, M, Baer, K-J, Bertsch, K, Brown, RC, Brunner, R, Carnevali, L, Critchley, HD, Cullen, KR, de Geus, EJC, de la Cruz, F, Dziobek, I, Ferger, MD, Fischer, H, Flor, H, Gaebler, M, Gianaros, PJ, Giummarra, MJ, Greening, SG, Guendelman, S, Heathers, JAJ, Herpertz, SC, Hu, MX, Jentschke, S, Kaess, M, Kaufmann, T, Klimes-Dougan, B, Koelsch, S, Krauch, M, Kumral, D, Lamers, F, Lee, T-H, Lekander, M, Lin, F, Lotze, M, Makovac, E, Mancini, M, Mancke, F, Mansson, KNT, Manuck, SB, Mather, M, Meeten, F, Min, J, Mueller, B, Muench, V, Nees, F, Nga, L, Nilsonne, G, Ordonez Acuna, D, Osnes, B, Ottaviani, C, Penninx, BWJH, Ponzio, A, Poudel, GR, Reinelt, J, Ren, P, Sakaki, M, Schumann, A, Sorensen, L, Specht, K, Straub, J, Tamm, S, Thai, M, Thayer, JF, Ubani, B, van Der Mee, DJ, van Velzen, LS, Ventura-Bort, C, Villringer, A, Watson, DR, Wei, L, Wendt, J, Schreiner, MW, Westlye, LT, Weymar, M, Winkelmann, T, Wu, G-R, Yoo, HJ, Quintana, DS, Koenig, J, Abler, B, Agartz, I, akerstedt, T, Andreassen, OA, Anthony, M, Baer, K-J, Bertsch, K, Brown, RC, Brunner, R, Carnevali, L, Critchley, HD, Cullen, KR, de Geus, EJC, de la Cruz, F, Dziobek, I, Ferger, MD, Fischer, H, Flor, H, Gaebler, M, Gianaros, PJ, Giummarra, MJ, Greening, SG, Guendelman, S, Heathers, JAJ, Herpertz, SC, Hu, MX, Jentschke, S, Kaess, M, Kaufmann, T, Klimes-Dougan, B, Koelsch, S, Krauch, M, Kumral, D, Lamers, F, Lee, T-H, Lekander, M, Lin, F, Lotze, M, Makovac, E, Mancini, M, Mancke, F, Mansson, KNT, Manuck, SB, Mather, M, Meeten, F, Min, J, Mueller, B, Muench, V, Nees, F, Nga, L, Nilsonne, G, Ordonez Acuna, D, Osnes, B, Ottaviani, C, Penninx, BWJH, Ponzio, A, Poudel, GR, Reinelt, J, Ren, P, Sakaki, M, Schumann, A, Sorensen, L, Specht, K, Straub, J, Tamm, S, Thai, M, Thayer, JF, Ubani, B, van Der Mee, DJ, van Velzen, LS, Ventura-Bort, C, Villringer, A, Watson, DR, Wei, L, Wendt, J, Schreiner, MW, Westlye, LT, Weymar, M, Winkelmann, T, Wu, G-R, Yoo, HJ, and Quintana, DS

Abstract

Understanding the association between autonomic nervous system [ANS] function and brain morphology across the lifespan provides important insights into neurovisceral mechanisms underlying health and disease. Resting-state ANS activity, indexed by measures of heart rate [HR] and its variability [HRV] has been associated with brain morphology, particularly cortical thickness [CT]. While findings have been mixed regarding the anatomical distribution and direction of the associations, these inconsistencies may be due to sex and age differences in HR/HRV and CT. Previous studies have been limited by small sample sizes, which impede the assessment of sex differences and aging effects on the association between ANS function and CT. To overcome these limitations, 20 groups worldwide contributed data collected under similar protocols of CT assessment and HR/HRV recording to be pooled in a mega-analysis (N = 1,218 (50.5% female), mean age 36.7 years (range: 12-87)). Findings suggest a decline in HRV as well as CT with increasing age. CT, particularly in the orbitofrontal cortex, explained additional variance in HRV, beyond the effects of aging. This pattern of results may suggest that the decline in HRV with increasing age is related to a decline in orbitofrontal CT. These effects were independent of sex and specific to HRV; with no significant association between CT and HR. Greater CT across the adult lifespan may be vital for the maintenance of healthy cardiac regulation via the ANS-or greater cardiac vagal activity as indirectly reflected in HRV may slow brain atrophy. Findings reveal an important association between CT and cardiac parasympathetic activity with implications for healthy aging and longevity that should be studied further in longitudinal research.

Published
2020

6. Trade‐off between vegetation type, soil erosion control and surface water in global semi‐arid regions: A meta‐analysis

Author

Wu, G.-L., Liu, Y.-F., Cui, Z., Liu, Y., Shi, Z.-H., Yin, Rui, Kardol, P., Wu, G.-L., Liu, Y.-F., Cui, Z., Liu, Y., Shi, Z.-H., Yin, Rui, and Kardol, P.

Abstract

Soil erosion control and water resource protection can closely interact during restoration of terrestrial ecosystems. In semi‐arid ecosystems, an urgent issue is how vegetation restoration can achieve the goal of soil erosion mitigation and water conservation, which in turn, feeds back to ecosystem functioning.We reviewed 78 articles from 22 countries in semi‐arid areas to evaluate the effects of vegetation type (i.e., forest, grassland, and scrubland) on run‐off and sediment yields across different environmental conditions (i.e., vegetation coverage, rainfall intensity, slope gradient, and soil texture).Our meta‐analysis shows that run‐off and sediment reduction both increased as the vegetation coverage increased, and tended to be stable when vegetation coverage exceeded 60%. Vegetation provided a greater benefit for sediment reduction than for run‐off control under intense rainfall. Grasslands were generally more effective in reducing sediment than other vegetation types. Forests, grasslands, and scrublands were most efficient in soil erosion control on 20‐30°, 0‐25°, and 10‐25° slopes, respectively. Grasslands and scrublands generally performed better with respect to soil erosion control on moderately coarse soils, whereas forests were most effective on medium‐textured and moderately fine soils.Synthesis and applications. Effective restoration and soil erosion control in semi‐arid ecosystems strongly depends on the selection of vegetation type. Our study further indicates that, for land managers, it is critical to consider local slope, and soil texture, and maintain appropriate vegetation coverage to achieve ecosystem sustainability. Grasslands might be particularly suitable to optimize the trade‐off between soil erosion control and surface water resource in semi‐arid regions.

Published
2020

7. In Situ Metal‐Oxygen‐Hydrogen Modified B‐Tio2@Co2P‐X S‐Scheme Heterojunction Effectively Enhanced Charge Separation for Photo‐assisted Uranium Reduction

Author

Fucheng Zhang, Huanhuan Dong, Yi Li, Dengjiang Fu, Lu Yang, Yupeng Shang, Qiuyang Li, Yuwen Shao, Wu Gang, Tao Ding, Tao Chen, and Wenkun Zhu

Subjects
M‐O‐H, photocatalysis, S‐scheme heterojunction, titanium dioxide, uranium reduction, Science
Abstract

Abstract Photo‐assisted uranium reduction from uranium mine wastewater is expected to overcome the competition between impurity ions and U(VI) in the traditional process. Here, B‐TiO2@Co2P‐X S‐scheme heterojunction with metal‐oxygen‐hydrogen (M‐O‐H) is developed insitu modification for photo‐assisted U(VI) (hexavalent uranium) reduction. Relying on the DFT calculation and Hard‐Soft‐Acid‐Base (HSAB) theory, the introduction of metal‐oxygen‐hydrogen (M‐O‐H, hard base) metallic bonds in the B‐TiO2@Co2P‐X is found to enhance the hydrophilicity and the capture capability for uranyl ion (hard acid). Accordingly, B‐TiO2@Co2P‐500 hybrid nanosheets exhibit excellent U(VI) reduction ability (>98%) in the presence of competing ions. By self‐consistent energy band calculations and in‐situ KPFM spectral analysis, the formation of the internal electric field between B‐TiO2 and Co2P at the heterojunction is proven, offering a strong driving force and atomic transportation highway for accelerating the S‐scheme charge carriers directed migration and promoting the photocatalytic reduction of uranium. This work provides a valuable route to explore the functionally modified photocatalyst with high‐efficiency photoelectron separation for U(VI) reduction.

Published
2024
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21. The basic physics of the binary black hole merger GW150914

Author

Abbott, B., Abbott, R., Abbott, T., Abernathy, M., Acernese, F., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R., Adya, V., Affeldt, C., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O., Aiello, L., Ain, A., Ajith, P., Allen, B., Allocca, A., Altin, P., Anderson, S., Anderson, W., Arai, K., Araya, M., Arceneaux, C., Areeda, J., Arnaud, N., Arun, K., Ascenzi, S., Ashton, G., Ast, S., Aston, S., Astone, P., Aufmuth, P., Aulbert, C., Babak, S., Bacon, P., Bader, M., Baker, P., Baldaccini, F., Ballardin, G., Ballmer, S., Barayoga, J., Barclay, S., Barish, B., Barker, D., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Bartos, I., Bassiri, R., Basti, A., Batch, J., Baune, C., Bavigadda, V., Bazzan, M., Bejger, M., Bell, A., Berger, B., Bergmann, G., Berry, C., Bersanetti, D., Bertolini, A., Betzwieser, J., Bhagwat, S., Bhandare, R., Bilenko, I., Billingsley, G., Birch, J., Birney, R., Birnholtz, O., Biscans, S., Bisht, A., Bitossi, M., Biwer, C., Bizouard, M., Blackburn, J., Blair, C., Blair, D., Blair, R., Bloemen, S., Bock, O., Boer, M., Bogaert, G., Bogan, C., Bohe, A., Bond, C., Bondu, F., Bonnand, R., Boom, B., Bork, R., Boschi, V., Bose, S., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P., Braginsky, V., Branchesi, M., Brau, J., Briant, T., Brillet, A., Brinkmann, M., Brisson, V., Brockill, P., Broida, J., Brooks, A., Brown, D., Brown, N., Brunett, S., Buchanan, C., Buikema, A., Bulik, T., Bulten, H., Buonanno, A., Buskulic, D., Buy, C., Byer, R., Cabero, M., Cadonati, L., Cagnoli, G., Cahillane, C., Calderón Bustillo, J., Callister, T., Calloni, E., Camp, J., Cannon, K., Cao, J., Capano, C., Capocasa, E., Carbognani, F., Caride, S., Casanueva Diaz, J., Casentini, C., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cepeda, C., Cerboni Baiardi, L., Cerretani, G., Cesarini, E., Chamberlin, S., Chan, M., Chao, S., Charlton, P., Chassande-Mottin, E., Cheeseboro, B., Chen, H., Chen, Y., Cheng, C., Chincarini, A., Chiummo, A., Cho, H., Cho, M., Chow, J., Christensen, N., Chu, Q., Chua, S., Chung, S., Ciani, G., Clara, F., Clark, J., Cleva, F., Coccia, E., Cohadon, P., Colla, A., Collette, C., Cominsky, L., Constancio, M., Conte , A., Conti, L., Cook, D., Corbitt, T., Cornish, N., Corsi, A., Cortese, S., Costa, C., Coughlin, M., Coughlin, S., Coulon, J., Countryman, S., Couvares, P., Cowan, E., Coward, D., Cowart, M., Coyne, D., Coyne, R., Craig, K., Creighton, J., Cripe, J., Crowder, S., Cumming, A., Cunningham, L., Cuoco, E., Dal Canton, T., Danilishin, S., D’Antonio, S., Danzmann, K., Darman, N., Dasgupta, A., Da Silva Costa, C., Dattilo, V., Dave, I., Davier, M., Davies, G., Daw, E., Day, R., De, S., DeBra, D., Debreczeni, G., Degallaix, J., De Laurentis, M., Deléglise, S., Del Pozzo, W., Denker, T., Dent, T., Dergachev, V., DeRosa, R., DeSalvo, R., Devine, R., Dhurandhar, S., Díaz, M., Fiore, L., Giovanni, M., Girolamo, T., Lieto, A., Pace, S., Palma, I., Virgilio, A., Dolique, V., Donovan, F., Dooley, K., Doravari, S., Douglas, R., Downes, T., Drago, M., Drever, R., Driggers, J., Ducrot, M., Dwyer, S., Edo, T., Edwards, M., Effler, A., Eggenstein, H., Ehrens, P., Eichholz, J., Eikenberry, S., Engels, W., Essick, R., Etzel, T., Evans, M., Evans, T., Everett, R., Factourovich, M., Fafone, V., Fair, H., Fairhurst, S., Fan, X., Fang, Q., Farinon, S., Farr, B., Farr, W., Favata, M., Fays, M., Fehrmann, H., Fejer, M., Fenyvesi, E., Ferrante, I., Ferreira, E., Ferrini, F., Fidecaro, F., Fiori, I., Fiorucci, D., Fisher, R., Flaminio, R., Fletcher, M., Fong, H., Fournier, J., Frasca, S., Frasconi, F., Frei, Z., Freise, A., Frey, R., Frey, V., Fritschel, P., Frolov, V., Fulda, P., Fyffe, M., Gabbard, H., Gair, J., Gammaitoni, L., Gaonkar, S., Garufi, F., Gaur, G., Gehrels, N., Gemme, G., Geng, P., Genin, E., Gennai, A., George, J., Gergely, L., Germain, V., Ghosh, A., Ghosh, S., Giaime, J., Giardina, K., Giazotto, A., Gill, K., Glaefke, A., Goetz, E., Goetz, R., Gondan, L., González, G., Castro, J., Gopakumar, A., Gordon, N., Gorodetsky, M., Gossan, S., Gosselin, M., Gouaty, R., Grado, A., Graef, C., Graff, P., Granata, M., Grant, A., Gras, S., Gray, C., Greco, G., Green, A., Groot, P., Grote, H., Grunewald, S., Guidi, G., Guo, X., Gupta, A., Gupta, M., Gushwa, K., Gustafson, E., Gustafson, R., Hacker, J., Hall, B., Hall, E., Hamilton, H., Hammond, G., Haney, M., Hanke, M., Hanks, J., Hanna, C., Hannam, M., Hanson, J., Hardwick, T., Harms, J., Harry, G., Harry, I., Hart, M., Hartman, M., Haster, C., Haughian, K., Healy, J., Heidmann, A., Heintze, M., Heitmann, H., Hello, P., Hemming, G., Hendry, M., Heng, I., Hennig, J., Henry, J., Heptonstall, A., Heurs, M., Hild, S., Hoak, D., Hofman, D., Holt, K., Holz, D., Hopkins, P., Hough, J., Houston, E., Howell, E., Hu, Y., Huang, S., Huerta, E., Huet, D., Hughey, B., Husa, S., Huttner, S., Huynh-Dinh, T., Indik, N., Ingram, D., Inta, R., Isa, H., Isac, J., Isi, M., Isogai, T., Iyer, B., Izumi, K., Jacqmin, T., Jang, H., Jani, K., Jaranowski, P., Jawahar, S., Jian, L., Jiménez-Forteza, F., Johnson, W., Johnson-McDaniel, N., Jones, D., Jones, R., Jonker, R., Ju, L., K, H., Kalaghatgi, C., Kalogera, V., Kandhasamy, S., Kang, G., Kanner, J., Kapadia, S., Karki, S., Karvinen, K., Kasprzack, M., Katsavounidis, E., Katzman, W., Kaufer, S., Kaur, T., Kawabe, K., Kéfélian, F., Kehl, M., Keitel, D., Kelley, D., Kells, W., Kennedy, R., Key, J., Khalili, F., Khan, I., Khan, S., Khan, Z., Khazanov, E., Kijbunchoo, N., Kim, C., Kim, J., Kim, K., Kim, N., Kim, W., Kim, Y., Kimbrell, S., King, E., King, P., Kissel, J., Klein, B., Kleybolte, L., Klimenko, S., Koehlenbeck, S., Koley, S., Kondrashov, V., Kontos, A., Korobko, M., Korth, W., Kowalska, I., Kozak, D., Kringel, V., Krishnan, B., Królak, A., Krueger, C., Kuehn, G., Kumar, P., Kumar, R., Kuo, L., Kutynia, A., Lackey, B., Landry, M., Lange, J., Lantz, B., Lasky, P., Laxen, M., Lazzarini, A., Lazzaro, C., Leaci, P., Leavey, S., Lebigot, E., Lee, C., Lee, H., Lee, K., Lenon, A., Leonardi, M., Leong, J., Leroy, N., Letendre, N., Levin, Y., Lewis, J., Li, T., Libson, A., Littenberg, T., Lockerbie, N., Lombardi, A., London, L., Lord, J., Lorenzini, M., Loriette, V., Lormand, M., Losurdo, G., Lough, J., Lousto, C., Lück, H., Lundgren, A., Lynch, R., Ma, Y., Machenschalk, B., MacInnis, M., Macleod, D., Magaña-Sandoval, F., Magaña Zertuche, L., Magee, R., Majorana, E., Maksimovic, I., Malvezzi, V., Man, N., Mandel, I., Mandic, V., Mangano, V., Mansell, G., Manske, M., Mantovani, M., Marchesoni, F., Marion, F., Márka, S., Márka, Z., Markosyan, A., Maros, E., Martelli, F., Martellini, L., Martin, I., Martynov, D., Marx, J., Mason, K., Masserot, A., Massinger, T., Masso-Reid, M., Mastrogiovanni, S., Matichard, F., Matone, L., Mavalvala, N., Mazumder, N., McCarthy, R., McClelland, D., McCormick, S., McGuire, S., McIntyre, G., McIver, J., McManus, D., McRae, T., McWilliams, S., Meacher, D., Meadors, G., Meidam, J., Melatos, A., Mendell, G., Mercer, R., Merilh, E., Merzougui, M., Meshkov, S., Messenger, C., Messick, C., Metzdorff, R., Meyers, P., Mezzani, F., Miao, H., Michel, C., Middleton, H., Mikhailov, E., Milano, L., Miller, A., Miller, B., Miller, J., Millhouse, M., Minenkov, Y., Ming, J., Mirshekari, S., Mishra, C., Mitra, S., Mitrofanov, V., Mitselmakher, G., Mittleman, R., Moggi, A., Mohan, M., Mohapatra, S., Montani, M., Moore, B., Moore, C., Moraru, D., Moreno, G., Morriss, S., Mossavi, K., Mours, B., Mow-Lowry, C., Mueller, G., Muir, A., Mukherjee, A., Mukherjee, D., Mukherjee, S., Mukund, N., Mullavey, A., Munch, J., Murphy, D., Murray, P., Mytidis, A., Nardecchia, I., Naticchioni, L., Nayak, R., Nedkova, K., Nelemans, G., Nelson, T., Neri, M., Neunzert, A., Newton, G., Nguyen, T., Nielsen, A., Nissanke, S., Nitz, A., Nocera, F., Nolting, D., Normandin, M., Nuttall, L., Oberling, J., Ochsner, E., O’Dell, J., Oelker, E., Ogin, G., Oh, J., Oh, S., Ohme, F., Oliver, M., Oppermann, P., Oram, R., O’Reilly, B., O’Shaughnessy, R., Ottaway, D., Overmier, H., Owen, B., Pai, A., Pai, S., Palamos, J., Palashov, O., Palomba, C., Pal-Singh, A., Pan, H., Pankow, C., Pannarale, F., Pant, B., Paoletti, F., Paoli, A., Papa, M., Paris, H., Parker, W., Pascucci, D., Pasqualetti, A., Passaquieti, R., Passuello, D., Patricelli, B., Patrick, Z., Pearlstone, B., Pedraza, M., Pedurand, R., Pekowsky, L., Pele, A., Penn, S., Perreca, A., Perri, L., Pfeiffer, H., Phelps, M., Piccinni, O., Pichot, M., Piergiovanni, F., Pierro, V., Pillant, G., Pinard, L., Pinto, I., Pitkin, M., Poe, M., Poggiani, R., Popolizio, P., Post, A., Powell, J., Prasad, J., Predoi, V., Prestegard, T., Price, L., Prijatelj, M., Principe, M., Privitera, S., Prix, R., Prodi, G., Prokhorov, L., Puncken, O., Punturo, M., Puppo, P., Pürrer, M., Qi, H., Qin, J., Qiu, S., Quetschke, V., Quintero, E., Quitzow-James, R., Raab, F., Rabeling, D., Radkins, H., Raffai, P., Raja, S., Rajan, C., Rakhmanov, M., Rapagnani, P., Raymond, V., Razzano, M., Re, V., Read, J., Reed, C., Regimbau, T., Rei, L., Reid, S., Reitze, D., Rew, H., Reyes, S., Ricci, F., Riles, K., Rizzo, M., Robertson, N., Robie, R., Robinet, F., Rocchi, A., Rolland, L., Rollins, J., Roma, V., Romano, J., Romano, R., Romanov, G., Romie, J., Rosińska, D., Rowan, S., Rudiger, A., Ruggi, P., Ryan, K., Sachdev, S., Sadecki, T., Sadeghian, L., Sakellariadou, M., Salconi, L., Saleem, M., Salemi, F., Samajdar, A., Sammut, L., Sanchez, E., Sandberg, V., Sandeen, B., Sanders, J., Sassolas, B., Sathyaprakash, B., Saulson, P., Sauter, O., Savage, R., Sawadsky, A., Schale, P., Schilling, R., Schmidt, J., Schmidt, P., Schnabel, R., Schofield, R., Schönbeck, A., Schreiber, E., Schuette, D., Schutz, B., Scott, J., Scott, S., Sellers, D., Sengupta, A., Sentenac, D., Sequino, V., Sergeev, A., Setyawati, Y., Shaddock, D., Shaffer, T., Shahriar, M., Shaltev, M., Shapiro, B., Shawhan, P., Sheperd, A., Shoemaker, D., Siellez, K., Siemens, X., Sieniawska, M., 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I., Töyrä, D., Travasso, F., Traylor, G., Trifirò, D., Tringali, M. C., Trozzo, L., Tse, M., Turconi, M., Tuyenbayev, D., Ugolini, D., Unnikrishnan, C. S., Urban, A. L., Usman, S. A., Vahlbruch, H., Vajente, G., Valdes, G., van Bakel, N., van Beuzekom, M., van den Brand, J. F. J., Van Den Broeck, C., Vander Hyde, D. C., van der Schaaf, L., van Heijningen, J. V., van Veggel, A. A., Vardaro, M., Vass, S., Vasúth, M., Vaulin, R., Vecchio, A., Vedovato, G., Veitch, J., Veitch, P. J., Venkateswara, K., Verkindt, D., VETRANO, FLAVIO, VICERE', ANDREA, Vinciguerra, S., Vine, D. J., Vinet, J. Y., Vitale, S., Vo, T., Vocca, H., Vorvick, C., Voss, D. V., Vousden, W. D., Vyatchanin, S. P., Wade, A. R., Wade, L. E., Wade, M., Walker, M., Wallace, L., Walsh, S., Wang, G., Wang, H., Wang, M., Wang, X., Wang, Y., Ward, R. L., Warner, J., Was, M., Weaver, B., Wei, L. W., Weinert, M., Weinstein, A. J., Weiss, R., Wen, L., Weßels, P., Westphal, T., Wette, K., Whelan, J. T., Whiting, B. F., Williams, R. D., Williamson, A. R., Willis, J. L., Willke, B., Wimmer, M. H., Winkler, W., Wipf, C. C., Wiseman, A. G., Wittel, H., Woan, G., Woehler, J., Worden, J., Wright, J. L., Wu, D. S., Wu, G., Yablon, J., Yam, W., Yamamoto, H., Yancey, C. C., Yu, H., Yvert, M., Zadrożny, A., Zangrando, L., Zanolin, M., Zendri, J. P., Zevin, M., Zhang, L., Zhang, M., Zhang, Y., Zhao, C., Zhou, M., Zhou, Z., Zhu, X. J., Zucker, M. E., Zuraw, S. E., Zweizig, J., Laboratoire d'Annecy de Physique des Particules ( LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules ), Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire des matériaux avancés ( LMA ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), Astrophysique Relativiste Théories Expériences Métrologie Instrumentation Signaux ( ARTEMIS ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Observatoire de la Côte d'Azur, Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Physique de Rennes ( IPR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ), VIRGO, Ligo, Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire des matériaux avancés (LMA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Relativiste Théories Expériences Métrologie Instrumentation Signaux (ARTEMIS), Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institut de Physique de Rennes (IPR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Országos Tudományos Kutatási Alapprogramok, Scottish Universities Physics Alliance, Natural Sciences and Engineering Research Council of Canada, Science and Technology Facilities Council, European Commission, Council of Scientific and Industrial Research, Fundação de Amparo à Pesquisa do Estado de São Paulo, Australian Research Council, Narodowe Centrum Nauki, National Science Foundation, National Research Foundation of Korea, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Russian Foundation for Basic Research, Department of Science and Technology, Government of Kerala, Branchesi, M., Calloni, Enrico, Cerboni Baiardi, L., DE LAURENTIS, Martina, DE ROSA, Rosario, Fiore, L., Di Giovanni, M., DI GIROLAMO, Tristano, Di Lieto, A., Di Pace, S. Di, Garufi, Fabio, Greco, G., Guidi, G. M., Harms, J., Martelli, F., Milano, Leopoldo, Montani, M., Piergiovanni, F., Stratta, G., Vetrano, F., Viceré, A., The LIGO Scientific Collaboration, The Virgo Collaboration, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), and Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Black holes, Gravitational waves, GW150914, General Relativity and Quantum Cosmology, Physics and Astronomy (all), Gravitational-wave observatory, Black hole, General relativity, Astronomy, Astrophysics::High Energy Astrophysical Phenomena, WAVES, GRAVITATIONAL-RADIATION, Gravitational Wave, FOS: Physical sciences, General Physics and Astronomy, General Relativity and Quantum Cosmology (gr-qc), Astrophysics, 01 natural sciences, [ PHYS.GRQC ] Physics [physics]/General Relativity and Quantum Cosmology [gr-qc], MAXIMUM MASS, Binary black hole, 0103 physical sciences, Waveform, First Detection, 010306 general physics, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), QC, QB, Gravitational Waves, Physics, 010308 nuclear & particles physics, Gravitational wave, Detector, PULSAR, Interferometry, Physics and Astronomy, GW150914, Gravitational Waves, First Detection, [PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]
Abstract

The first direct gravitational-wave detection was made by the Advanced Laser Interferometer Gravitational Wave Observatory on September 14, 2015. The GW150914 signal was strong enough to be apparent, without using any waveform model, in the filtered detector strain data. Here, features of the signal visible in the data are analyzed using concepts from Newtonian physics and general relativity, accessible to anyone with a general physics background. The simple analysis presented here is consistent with the fully general-relativistic analyses published elsewhere,in showing that the signal was produced by the inspiral and subsequent merger of two black holes. The black holes were each of approximately 35 Msun, still orbited each other as close as ~350 km apart, and subsequently merged to form a single black hole. Similar reasoning, directly from the data, is used to roughly estimate how far these black holes were from the Earth, and the energy that they radiated in gravitational waves., Comment: updated to match published version

Published
2016

22. Application of BPNN Optimized by Fireworks Algorithm on Structural Bearing Capacity Analysis of Transmission Tower under Icing Conditions

Author

Jian Guo and Wu Guo

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

With the increasing power demand in city development, the construction and application of transmission towers need to meet higher requirements. Icing is an extreme meteorological condition in the world, and icing disasters cause various accidents such as tower collapse and line disconnection of large-area lines every year. Therefore, it is of great significance to study the ultimate bearing capacity of transmission towers under icing conditions. The structural bearing capacity under icing is greatly affected by meteorological conditions and environmental factors, which has strong randomness and complexity, and brings a series of urgent problems to the structural stability of transmission towers. In the paper, the ultimate bearing capacity analysis and failure path research are conducted on the 500 kV linear cathead tower structure, and a structural bearing capacity prediction model based on the fireworks algorithm (FWA) is established. In order to accurately predict the structural bearing capacity, reduce the adverse effects of line icing, and ensure the structural stability of the transmission tower, the FWA is introduced into the neural network model. The self-adjusting mechanism of the local search ability and global search ability of the FWA is used to optimize the optimization process of weights and thresholds in the neural network, and a structural bearing capacity prediction model based on the FWA improved backpropagation neural network (BPNN) is proposed. Through the analysis and calculation of the measured data of the transmission tower in a certain area, and the comparative study with the traditional BPNN and the BPNN optimized by other common algorithms, the analysis and calculation results of the FWA-BPNN model used in this paper are closer to the actual value, the multiple indicators are more superior, and the model is more stable, which can realize the rapid and accurate analysis of the axial stress of tower members and maximum displacement between member nodes of the transmission tower under the icing condition.

Published
2023
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23. Application of BP Neural Network Improved by Fireworks Algorithm on Suspender Damage Prediction of Long-Span Half-Through Arch Bridge

Author

Jian Guo and Wu Guo

Subjects
Physics, QC1-999
Abstract

In recent decades, with the large-scale construction and rapid development of half-through arch bridges, as well as the increase of bridge service time, the suspender damage of arch bridge has become increasingly prominent. Therefore, real-time monitoring and regular detection of the health of arch bridge suspenders and timely detection and accurate judgment of the damage location and extent of suspenders are of great engineering significance for evaluating the reliability and residual life of arch bridge structures. By analyzing the main difficulties and existing problems of suspender damage identification, this paper takes the change rate of modal curvature as the damage index, introduces fireworks algorithm into the neural network model, optimizes the optimization process of neural network weight and threshold, and proposes a prediction model based on improved BP neural network by fireworks algorithm. According to the measured data of the damage degree of a long-span arch bridge in daily monitoring and on-site inspection, the proposed prediction method is applied to verify the effectiveness and accuracy in engineering health detection. On this basis, the improved BP neural network by fireworks algorithm is used to predict the suspender damage of a certain long-span half-through arch bridge, which provides an important basis for the actual bridge safety assessment.

Published
2023
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25. Predictors of response to tenofovir disoproxil fumarate plus peginterferon alfa-2a combination therapy for chronic hepatitis B

Author

Marcellin, P., primary, Ahn, S. H., additional, Chuang, W.-L., additional, Hui, A. J., additional, Tabak, F., additional, Mehta, R., additional, Petersen, J., additional, Lee, C.-M., additional, Ma, X., additional, Caruntu, F. A., additional, Tak, W. Y., additional, Elkhashab, M., additional, Lin, L., additional, Wu, G., additional, Martins, E. B, additional, Charuworn, P., additional, Yee, L. J., additional, Lim, S. G., additional, Foster, G. R., additional, Fung, S., additional, Morano, L., additional, Samuel, D., additional, Agarwal, K., additional, Idilman, R., additional, Strasser, S. I., additional, Buti, M., additional, Gaeta, G. B., additional, Papatheodoridis, G., additional, Flisiak, R., additional, and Chan, H. L. Y., additional

Published
2016
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26. Comparison of genome sequencing and clinical genotyping for pharmacogenes

Author

Yang, W, primary, Wu, G, additional, Broeckel, U, additional, Smith, CA, additional, Turner, V, additional, Haidar, CE, additional, Wang, S, additional, Carter, R, additional, Karol, SE, additional, Neale, G, additional, Crews, KR, additional, Yang, JJ, additional, Mullighan, CG, additional, Downing, JR, additional, Evans, WE, additional, and Relling, MV, additional

Published
2016
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32. Fallacy of Median Door‐to‐ECG Time: Hidden Opportunities for STEMI Screening Improvement

Author

Maame Yaa A. B. Yiadom, Wu Gong, Brian W. Patterson, Christopher W. Baugh, Angela M. Mills, Nicholas Gavin, Seth R. Podolsky, Gilberto Salazar, Bryn E. Mumma, Mary Tanski, Kelsea Hadley, Caitlin Azzo, Stephen C. Dorner, Alexander Ulintz, and Dandan Liu

Subjects
emergency medicine, guidelines, myocardial infarction, screening, STEMI, timely care, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background ST‐segment elevation myocardial infarction (STEMI) guidelines recommend screening arriving emergency department (ED) patients for an early ECG in those with symptoms concerning for myocardial ischemia. Process measures target median door‐to‐ECG (D2E) time of 10 minutes. Methods and Results This 3‐year descriptive retrospective cohort study, including 676 ED‐diagnosed patients with STEMI from 10 geographically diverse facilities across the United States, examines an alternative approach to quantifying performance: proportion of patients meeting the goal of D2E≤10 minutes. We also identified characteristics associated with D2E>10 minutes and estimated the proportion of patients with screening ECG occurring during intake, triage, and main ED care periods. We found overall median D2E was 7 minutes (IQR:4–16; range: 0–1407 minutes; range of ED medians: 5–11 minutes). Proportion of patients with D2E>10 minutes was 37.9% (ED range: 21.5%–57.1%). Patients with D2E>10 minutes, compared to those with D2E≤10 minutes, were more likely female (32.8% versus 22.6%, P=0.005), Black (23.4% versus 12.4%, P=0.005), non‐English speaking (24.6% versus 19.5%, P=0.032), diabetic (40.2% versus 30.2%, P=0.010), and less frequently reported chest pain (63.3% versus 87.4%, P10 minutes can identify opportunities to improve care for more ED patients with STEMI. Our findings suggest sex, race, language, and diabetes are associated with STEMI diagnostic delays. Moving the acquisition of ECGs completed during triage to intake could achieve the D2E≤10 minutes goal for 87.4% of ED patients with STEMI. Sophisticated screening, accounting for differential risk and diversity in STEMI presentations, may further improve timely detection.

Published
2022
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38. Comparison of the effects on glycaemic control and β-cell function in newly diagnosed type 2 diabetes patients of treatment with exenatide, insulin or pioglitazone: a multicentre randomized parallel-group trial (the CONFIDENCE study)

Author

Xu, W., primary, Bi, Y., additional, Sun, Z., additional, Li, J., additional, Guo, L., additional, Yang, T., additional, Wu, G., additional, Shi, L., additional, Feng, Z., additional, Qiu, L., additional, Li, Q., additional, Guo, X., additional, Luo, Z., additional, Lu, J., additional, Shan, Z., additional, Yang, W., additional, Ji, Q., additional, Yan, L., additional, Li, H., additional, Yu, X., additional, Li, S., additional, Zhou, Z., additional, Lv, X., additional, Liang, Z., additional, Lin, S., additional, Zeng, L., additional, Yan, J., additional, Ji, L., additional, and Weng, J., additional

Published
2014
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41. Expert consensus on the clinical application of enhanced external counterpulsation in elderly people (2019)

Author

Shen Lin, Wang Xiao‐ming, and Wu Gui‐fu

Subjects
enhanced external counterpulsation, Geriatrics, RC952-954.6
Abstract

Abstract Enhanced external counterpulsation (EECP) is a non‐invasive assisted circulation technique and a rich pool of evidence has accumulated for its clinical application in the prevention and management of multiple comorbidities in the elderly population, including angina, heart failure, ischemic cerebrovascular diseases, neurodegenerative diseases, sleep disorder, diabetes and its complications, ischemic eye diseases, sudden hearing loss and erectile dysfunction, as well as various psychological and psychiatric conditions. When applying EECP to elderly patients, emphasis should be placed on issues such as safety assessment, risk management and protocol individualization, as well as the monitoring of efficacy during and after treatment.

Published
2020
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42. The Enrichment Mechanism of REE at Sulfate and Methane Transition Zone (SMTZ) of the Northern Part of the South China Sea

Author

Xie Rui, Wu Daidai, Wei Jiangong, Wang Liaoliang, Liu Lihua, Li Wenjing, Wu Gang, and Guo Xudong

Subjects
Geology, QE1-996.5
Abstract

Rare earth elements (REE) are important raw materials for electronic products and green-energy technology and deep-sea sediment as an important potential source of REE mineral. It is of great scientific significance to understand the influence of REE in deep-sea sediments. In this paper, thirty sediments samples and eleven sediments samples were collected at the site SH3 and SH1 of Shenhu area, respectively. The trace elements, major elements, and different Fe-Mn minerals were analyzed to investigate the role of anaerobic oxidation of methane (AOM) in the enrichment of rare earth elements in the marine sediments. The result showed that the content of ∑REE/Ti increased at the top of sulfate and methane transition zone (SMTZ) at site SH1 and SH3. Combined with the analysis of different forms of ferromanganese minerals and the REE patterns, it is inferred that there is little influence of terrigenous input to the REE content. In contrary, the REE-rich carbonate phase and REE-rich Fe-Mn oxides (hydroxides) phase have important contribution of REE enrichment at the top of SMTZ. Meanwhile, the calculations of the quantitative relationship between the REE-rich carbonate phase and REE-rich Fe-Mn oxides (hydroxides) phase also confirm this conclusion. And the AOM caused the decrease of the REE-rich Fe-Mn oxides (hydroxides) phase and increase of the REE-rich carbonate phase. This is the potential explanation of ∑REE/Ti enrichment at the top of SMTZ. This study is of great scientific significance for the study of REE enrichment mechanism in the methane seeps and provided a new sight of REE enrichment mechanism in deep-sea sediments.

Published
2022
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