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3. Global Carbon Budget 2021

Author

Friedlingstein, P., Jones, M.W., O'Sullivan, M., Andrew, R.M., Bakker, D.C.E., Hauck, J., Le Quéré, C., Peters, G.P., Peters, W., Pongratz, J., Sitch, S., Canadell, J.G., Ciais, P., Jackson, R.B., Alin, S.R., Anthoni, P., Bates, N.R., Becker, M., Bellouin, N., Bopp, L., Chau, T., Chevallier, F., Chini, L., Cronin, M., Currie, K., Decharme, B., Djeutchouang, L., Dou, X., Evans, W., Feely, R., Feng, L., Gasser, T., Gilfillan, D., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, O., Harris, I., Houghton, R., Hurtt, G., Iida, Y., Ilyina, T., Luijkx, I., Jain, A., Jones, S., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J., Körtzinger, A., Landschützer, P., Lauvset, S., Lefèvre, N., Lienert, S., Liu, J., Marland, G., McGuire, P., Melton, J., Munro, D., Nabel, J., Nakaoka, S.-I., Niwa, Y., Ono, T., Pierrot, D., Poulter, B., Rehder, G., Resplandy, L., Robertson, E., Rödenbeck, C., Rosan, T., Schwinger, J., Schwingshackl, C., Séférian, R., Sutton, A., Sweeney, C., Tanhua, T., Tans, P., Tian, H., Tilbrook, B., Tubiello, F., van der Werf, G., Vuichard, N., Wada, C., Wanninkhof, R., Watson, A., Willis, D., Wiltshire, A., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., Friedlingstein, P., Jones, M.W., O'Sullivan, M., Andrew, R.M., Bakker, D.C.E., Hauck, J., Le Quéré, C., Peters, G.P., Peters, W., Pongratz, J., Sitch, S., Canadell, J.G., Ciais, P., Jackson, R.B., Alin, S.R., Anthoni, P., Bates, N.R., Becker, M., Bellouin, N., Bopp, L., Chau, T., Chevallier, F., Chini, L., Cronin, M., Currie, K., Decharme, B., Djeutchouang, L., Dou, X., Evans, W., Feely, R., Feng, L., Gasser, T., Gilfillan, D., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, O., Harris, I., Houghton, R., Hurtt, G., Iida, Y., Ilyina, T., Luijkx, I., Jain, A., Jones, S., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J., Körtzinger, A., Landschützer, P., Lauvset, S., Lefèvre, N., Lienert, S., Liu, J., Marland, G., McGuire, P., Melton, J., Munro, D., Nabel, J., Nakaoka, S.-I., Niwa, Y., Ono, T., Pierrot, D., Poulter, B., Rehder, G., Resplandy, L., Robertson, E., Rödenbeck, C., Rosan, T., Schwinger, J., Schwingshackl, C., Séférian, R., Sutton, A., Sweeney, C., Tanhua, T., Tans, P., Tian, H., Tilbrook, B., Tubiello, F., van der Werf, G., Vuichard, N., Wada, C., Wanninkhof, R., Watson, A., Willis, D., Wiltshire, A., Yuan, W., Yue, C., Yue, X., Zaehle, S., and Zeng, J.

Published
2022

4. Development of a fall prevention device for older persons

Author

Abdul Rahman, K., Ahmad, S. A., Wada, C., Ashari, A., Che Soh, A., Gopalai, A. A., Murugasen, S., Abdul Rahman, K., Ahmad, S. A., Wada, C., Ashari, A., Che Soh, A., Gopalai, A. A., and Murugasen, S.

Abstract

The ever-increasing ageing population has raised awareness globally. The deterioration of health among older persons commonly leads to an increased risk of falling. The desire to live independently has the consequences for them and society as well. Enabling environments for older persons can be created, easing the social challenge of preparing for an ageing society while improving quality of life in their golden years. Technology solutions have been a game-changer supporting the families as the default caretakers for ageing relatives, bringing peace of mind. Fall detection systems represent one of the assistive technologies for older persons, as they can offer immediate assistance in case of emergency. Albeit the usage of the device is statistically low in Malaysia, they have been known to save lives (Bourke et al., 2010). Studies regarding fall detections and balance intervention have resulted in increasing safety, improving gait and physical activities (Lin & Wai, 2021; Hsieh et al., 2018). This study aims to improve the device by incorporating balance monitoring system, delivering better care for older persons. Rather than simply detecting falls, the proposed system will monitor balance instability, alerting the user to predict future falls and therefore serving as a fall prevention device.

Published
2022

5. Products from a surface ocean CO2 reference network, SOCONET

Author

Wanninkhof, R., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W. J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N. J., Hoppema, Mario, Huang, W.J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefevre, N., Manke, A., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Monteiro, P., Newberger, T., Omar, A. M., Ono, T., Park, G. H., Paterson, K., Pierrot, D., Rios, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Watson, A., Pickers, P. A., Olsen, A., Stephens, B.B., Munro, D., Rehder, G., Santana-Casiano, J. M., Müller, J. D., Trianes, J., Tedesco, K., Ishii, M., González-Dávila, M., Suntharalingam, P., Nakaoka, S.-i., Schuster, U., Wanninkhof, R., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W. J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N. J., Hoppema, Mario, Huang, W.J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefevre, N., Manke, A., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Monteiro, P., Newberger, T., Omar, A. M., Ono, T., Park, G. H., Paterson, K., Pierrot, D., Rios, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Watson, A., Pickers, P. A., Olsen, A., Stephens, B.B., Munro, D., Rehder, G., Santana-Casiano, J. M., Müller, J. D., Trianes, J., Tedesco, K., Ishii, M., González-Dávila, M., Suntharalingam, P., Nakaoka, S.-i., and Schuster, U.

Published
2020

7. Grasping and Attached Mode in Human-Computer Interaction in the Study of Mouse Substitution

Author

Widodo, R B, primary, Quita, R M, additional, Amrizal, S, additional, Gunawan, R S, additional, Wada, C, additional, Ardiansyah, A, additional, Sutrisno, I, additional, Rahmat, M B, additional, Arfianto, A Z, additional, Handoko, C R, additional, Santoso, A D, additional, Santosa, A W B, additional, Ardhana, V Y P, additional, and Setiawan, E, additional

Published
2019
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9. DS-1205b, a novel, selective, small-molecule inhibitor of AXL, delays the onset of resistance and overcomes acquired resistance to EGFR-TKIs in a human EGFR-mutant NSCLC (T790M-negative) xenograft model

Author

Jimbo, T., primary, Taira, T., additional, Komatsu, T., additional, Kumazawa, K., additional, Maeda, N., additional, Haginoya, N., additional, Suzuki, T., additional, Ota, M., additional, Totoki, Y., additional, Wada, C., additional, Inaki, K., additional, Isoyama, T., additional, and Uno, M., additional

Published
2017
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11. A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)

Author

Bakker, D.C.E., Pfeil, B., Landa, C.S., Metzl, N., O'Brien, K.M., Olsen, A., Smith, K., Cosca, C., Harasawa, S., Jones, S.D., Nakaoka, S., Nojiri, Y., Schuster, U., Steinhoff, T., Sweeney, C., Takahashi, T., Tilbrook, B., Wada, C., Wanninkhof, R., Alin, S.R., Balestrini, C.F., Barbero, L., Bates, N.R., Bianchi, A.A., Bonou, F., Boutin, J., Bozec, Y., Burger, E.F., Cai, W.-J., Castle, R.D., Chen, L., Chierici, M., Currie, K., Evans, W., Featherstone, C., Feely, R.A., Fransson, A., Goyet, C., Greenwood, N., Gregor, L., Hankin, S., Hardman-Mountford, N.J., Harlay, J., Hauck, J., Hoppema, M., Humphreys, M.P., Hunt, C.W., Huss, B., Ibánhez, J.S.P., Johannessen, T., Keeling, R., Kitidis, V., Kortzinger, A., Kozyr, A., Krasakopoulou, E., Kuwata, A., Landschützer, P., Lauvset, S.K., Lefèvre, N., Monaco, C.L., Manke, A., Mathis, J.T., Merlivat, L., Millero, F.J., Monteiro, P.M.S., Munro, D.R., Murata, A., Newberger, T., Omar, A.M., Ono, T., Paterson, K., Pearce, D., Pierrot, D., Robbins, L.L., Saito, S., Salisbury, J., Schlitzer, R., Schneider, B., Schweitzer, R., Sieger, R., Skjelvan, I., Sullivan, K.F., Sutherland, S.C., Sutton, A.J., Tadokoro, K., Telszewski, M., Tuma, M., van Heuven, S.M.A.C., Vandemark, D., Ward, B., Watson, A.J., Xu, S., Bakker, D.C.E., Pfeil, B., Landa, C.S., Metzl, N., O'Brien, K.M., Olsen, A., Smith, K., Cosca, C., Harasawa, S., Jones, S.D., Nakaoka, S., Nojiri, Y., Schuster, U., Steinhoff, T., Sweeney, C., Takahashi, T., Tilbrook, B., Wada, C., Wanninkhof, R., Alin, S.R., Balestrini, C.F., Barbero, L., Bates, N.R., Bianchi, A.A., Bonou, F., Boutin, J., Bozec, Y., Burger, E.F., Cai, W.-J., Castle, R.D., Chen, L., Chierici, M., Currie, K., Evans, W., Featherstone, C., Feely, R.A., Fransson, A., Goyet, C., Greenwood, N., Gregor, L., Hankin, S., Hardman-Mountford, N.J., Harlay, J., Hauck, J., Hoppema, M., Humphreys, M.P., Hunt, C.W., Huss, B., Ibánhez, J.S.P., Johannessen, T., Keeling, R., Kitidis, V., Kortzinger, A., Kozyr, A., Krasakopoulou, E., Kuwata, A., Landschützer, P., Lauvset, S.K., Lefèvre, N., Monaco, C.L., Manke, A., Mathis, J.T., Merlivat, L., Millero, F.J., Monteiro, P.M.S., Munro, D.R., Murata, A., Newberger, T., Omar, A.M., Ono, T., Paterson, K., Pearce, D., Pierrot, D., Robbins, L.L., Saito, S., Salisbury, J., Schlitzer, R., Schneider, B., Schweitzer, R., Sieger, R., Skjelvan, I., Sullivan, K.F., Sutherland, S.C., Sutton, A.J., Tadokoro, K., Telszewski, M., Tuma, M., van Heuven, S.M.A.C., Vandemark, D., Ward, B., Watson, A.J., and Xu, S.

Abstract

The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for ea

Published
2016

13. An update to the surface ocean CO2 Atlas (SOCAT version 2)

Author

Bakker, Dorothee, Pfeil, B., Smith, K, Hankin, S., Olsen, A, Alin, S. R., Cosca, C., Harasawa, S, Kozyr, A., Nojiri, Y., O'Brien, M, Schuster, Ute, Telszewski, Maciej, Tilbrook, B., Wada, C, Akl, J., Barbero, L, Bates, N., Boutin, J., Cai, W.-J., Castle, RD, Chavez, F. P., Chen, L, Chierici, M, Currie, K, de Baar, HJW, Evans, W., Feely, RA, Fransson, A, Gao, Z, Hales, B., Hardman-Mountford, N., Hoppema, M., Huang, W, Hunt, C. W., huss, b, Ichikawa, T, Johannessen, T., Jones, EM, Jones, S., Jutterstrom, Sara, Kitidis, V, Kortzinger, A, Lauvset, S. K., Lefevre, N, Manke, A., Mathis, T, Merlivat, L., Metzl, N., Murata, A., Newburger, T, Ono, T, Park, G.-H., Paterson, K., Pierrot, D., Rios, AF, Sabine, C. L., Saito, S, Salisbury, J., Sarma, V. V. S. S., Schlitzer, R., Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K, Sun, H, Sutton, AJ, Suzuki, T., Sweeney, C, Takahashi, T., Tjiputra, J., Tsurushima, N, van Heuven, S.M.A.C, Vandemark, D., Vlahos, P, Wallace, D, Wanninkhof, R, and Watson, A. J.

Published
2013

14. The Surface Ocean CO2 Atlas (SOCAT) enables detection of changes in the ocean carbon sink

Author

Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N.R., Boutin, J., Bozec, Y., Cai, W.-J., Castle, R.D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., de Baar, H.J.W., Evans, W., Feely, R.A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N.J., Hoppema, Mario, Huang, W.-J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S.D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschϋtzer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B., Mathis, J.T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A.M., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Ríos,, A.F., Sabine, C.L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K.F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., Watson, A. J., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N.R., Boutin, J., Bozec, Y., Cai, W.-J., Castle, R.D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., de Baar, H.J.W., Evans, W., Feely, R.A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N.J., Hoppema, Mario, Huang, W.-J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S.D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschϋtzer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B., Mathis, J.T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A.M., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Ríos,, A.F., Sabine, C.L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K.F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., and Watson, A. J.

Published
2015

16. An update to the Surface Ocean CO2 Atlas (SOCAT version 2)

Author

Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W. -j., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-mountford, N. J., Hoppema, M., Huang, W. -j., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterstrom, S., Kitidis, V., Koertzinger, A., Landschuetzer, P., Lauvset, S. K., Lefevre, N., Manke, A. B., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A. M., Ono, T., Park, G. -h., Paterson, K., Pierrot, D., Rios, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, R., Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., Watson, A. J., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W. -j., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-mountford, N. J., Hoppema, M., Huang, W. -j., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterstrom, S., Kitidis, V., Koertzinger, A., Landschuetzer, P., Lauvset, S. K., Lefevre, N., Manke, A. B., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A. M., Ono, T., Park, G. -h., Paterson, K., Pierrot, D., Rios, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, R., Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., and Watson, A. J.

Abstract

The Surface Ocean CO2 Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO(2) (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO(2) values) and extended data coverage (from 1968-2007 to 1968-2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website (http://www.socat.info/) has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longer-term variation, as well as initialisation or validation of ocean carbon models and coupled climate-carbon models.

Published
2014
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17. The Surface Ocean CO2 Atlas (SOCAT) enables detection of changes in the ocean carbon sink

Author

Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K.M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W.-J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N. J., Hoppema, Mario, Huang, W.-J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B., Mathis, J.T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A. M., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Ríos, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., Watson, A. J., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K.M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W.-J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N. J., Hoppema, Mario, Huang, W.-J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B., Mathis, J.T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A. M., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Ríos, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., and Watson, A. J.

Published
2014

18. An update to the Surface Ocean CO2 Atlas (SOCAT version 2)

Author

Bakker, D.C.E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S.R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K.M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N.R., Boutin, J., Bozec, Y., Cai, W.-J., Castle, R.D., Chavez, F.P., Chen, L., Chierici, M., Currie, K., de Baar, H.J.W., Evans, W., Feely, R.A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N.J., Hoppema, M., Huang, W.-J., Hunt, C.W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E.M., Jones, S.D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S.K., Lefèvre, N., Manke, A.B., Mathis, J.T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A.M., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Rios, A.F., Sabine, C.L., Saito, S., Salisbury, J., Sarma, V.V.S.S., Schlitzer, R., Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K.F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., van Heuven, S.M.A.C., Vandemark, D., Vlahos, P., Wallace, D.W.R., Wanninkhof, R., Watson, A.J., Bakker, D.C.E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S.R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K.M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N.R., Boutin, J., Bozec, Y., Cai, W.-J., Castle, R.D., Chavez, F.P., Chen, L., Chierici, M., Currie, K., de Baar, H.J.W., Evans, W., Feely, R.A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N.J., Hoppema, M., Huang, W.-J., Hunt, C.W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E.M., Jones, S.D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S.K., Lefèvre, N., Manke, A.B., Mathis, J.T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A.M., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Rios, A.F., Sabine, C.L., Saito, S., Salisbury, J., Sarma, V.V.S.S., Schlitzer, R., Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K.F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., van Heuven, S.M.A.C., Vandemark, D., Vlahos, P., Wallace, D.W.R., Wanninkhof, R., and Watson, A.J.

Abstract

The Surface Ocean CO2 Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO2 (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO2 values) and extended data coverage (from 1968–2007 to 1968–2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longerterm variation, as well as initialisation or validation of ocean carbon models and coupled climate-carbon models.

Published
2014

19. An update to the Surface Ocean CO<sub>2</sub> Atlas (SOCAT version 2)

Author

Bakker, D. C. E., primary, Pfeil, B., additional, Smith, K., additional, Hankin, S., additional, Olsen, A., additional, Alin, S. R., additional, Cosca, C., additional, Harasawa, S., additional, Kozyr, A., additional, Nojiri, Y., additional, O'Brien, K. M., additional, Schuster, U., additional, Telszewski, M., additional, Tilbrook, B., additional, Wada, C., additional, Akl, J., additional, Barbero, L., additional, Bates, N. R., additional, Boutin, J., additional, Bozec, Y., additional, Cai, W.-J., additional, Castle, R. D., additional, Chavez, F. P., additional, Chen, L., additional, Chierici, M., additional, Currie, K., additional, de Baar, H. J. W., additional, Evans, W., additional, Feely, R. A., additional, Fransson, A., additional, Gao, Z., additional, Hales, B., additional, Hardman-Mountford, N. J., additional, Hoppema, M., additional, Huang, W.-J., additional, Hunt, C. W., additional, Huss, B., additional, Ichikawa, T., additional, Johannessen, T., additional, Jones, E. M., additional, Jones, S. D., additional, Jutterström, S., additional, Kitidis, V., additional, Körtzinger, A., additional, Landschützer, P., additional, Lauvset, S. K., additional, Lefèvre, N., additional, Manke, A. B., additional, Mathis, J. T., additional, Merlivat, L., additional, Metzl, N., additional, Murata, A., additional, Newberger, T., additional, Omar, A. M., additional, Ono, T., additional, Park, G.-H., additional, Paterson, K., additional, Pierrot, D., additional, Ríos, A. F., additional, Sabine, C. L., additional, Saito, S., additional, Salisbury, J., additional, Sarma, V. V. S. S., additional, Schlitzer, R., additional, Sieger, R., additional, Skjelvan, I., additional, Steinhoff, T., additional, Sullivan, K. F., additional, Sun, H., additional, Sutton, A. J., additional, Suzuki, T., additional, Sweeney, C., additional, Takahashi, T., additional, Tjiputra, J., additional, Tsurushima, N., additional, van Heuven, S. M. A. C., additional, Vandemark, D., additional, Vlahos, P., additional, Wallace, D. W. R., additional, Wanninkhof, R., additional, and Watson, A. J., additional

Published
2014
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20. An update to the Surface Ocean CO2 Atlas (SOCAT version 2)

Author

Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N., Boutin, J., Cai, W.-J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., de Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N., Hoppema, Mario, Huang, W.-J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, Elizabeth M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschtzer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Ríos, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., Watson, A. J., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N., Boutin, J., Cai, W.-J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., de Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N., Hoppema, Mario, Huang, W.-J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, Elizabeth M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschtzer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Ríos, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., and Watson, A. J.

Abstract

The Surface Ocean CO2 Atlas (SOCAT) is an effort by the international marine carbon research community. It aims to improve access to carbon dioxide measurements in the surface oceans by regular releases of quality controlled and fully documented synthesis and gridded fCO2 (fugacity of carbon dioxide) products. SOCAT version 2 presented here extends the data set for the global oceans and coastal seas by four years and has 10.1 million surface water fCO2 values from 2660 cruises between 1968 and 2011. The procedures for creating version 2 have been comparable to those for version 1. The SOCAT website (http://www.socat.info/) provides access to the individual cruise data files, as well as to the synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Scientific users can also retrieve the data as downloadable files or via Ocean Data View. Version 2 enables carbon specialists to expand their studies until 2011. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longer-term variation, as well as initialisation or validation of ocean carbon models and coupled-climate carbon models.

Published
2013

22. JBFA-Buoyant Flight, Special Edition

Author

Wada, C, Terada, K, Ishii, C, Nagamatsu, K, Makino, M, and Ichiyoshi, S

Subjects
Aeronautics (General)
Abstract

Progress in the project to traverse the Pacific Ocean by manned balloon is summarized. The development of a hybrid lighter than aircraft combining the buoyancy of a gas bag with the vertical lift off capabilities of the helicopter is also addressed.

Published
1982

27. A 718-kb DNA Sequence of the Escherichia coli K-12 Genome Corresponding to the 12.7-28.0 min Region on the Linkage Map

Author

Oshima, T., primary, Aiba, H., additional, Baba, T., additional, Fujita, K., additional, Hayashi, K., additional, Honjo, A., additional, Ikemoto, K., additional, Inada, T., additional, Itoh, T., additional, Kajihara, M., additional, Kanai, K., additional, Kashimoto, K., additional, Kimura, S., additional, Kitagawa, M., additional, Makino, K., additional, Masuda, S., additional, Miki, T., additional, Mizobuchi, K., additional, Mori, H., additional, Motomura, K., additional, Nakamura, Y., additional, Nashimoto, H., additional, Nishio, Y., additional, Saito, N., additional, Sampei, G.-i., additional, Seki, Y., additional, Tagami, H., additional, Takemoto, K., additional, Wada, C., additional, Yamamoto, Y., additional, Yano, M., additional, and Horiuchi, T., additional

Published
1996
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37. Control of F plasmid replication by a host gene: evidence for interaction of the mafA gene product of Escherichia coli with the mini-F incC region

Author

Wada, C and Yura, T

Abstract

Replication of F (including mini-F) and some related plasmids is known to be specifically inhibited in mafA mutants of Escherichia coli K-12. We have now isolated and characterized mini-F mutants that can overcome the replication inhibition. Such plasmids, designated pom (permissive on maf), were obtained spontaneously or after mutagenesis with hydroxylamine or by transposon (Tn3) insertion. In addition to their ability to replicate in mafA mutant bacteria, the pom mutant plasmids exhibit an increased copy number and resistance to "curing" by acridine dye in the mafA+ host. In agreement with these results, Tn3-induced pom mutants were found to carry Tn3 inserted at the incC region of mini-F DNA, known to be involved in incompatibility, control of copy number, and sensitivity to acridine dye. Furthermore, three of the seven mini-F plasmids tested that carry Tn3 within the tandem repeat sequences of the incC region (previously isolated by other workers) exhibit all the phenotypes of pom plasmids, the ability to replicate in the mafA strain, and high copy number and acridine resistance in the mafA+ strain. The rest of the plasmids that contain Tn3 just outside the tandem repeats remain wild type in all these properties. These results strongly suggest that the putative mafA gene product of host bacteria controls mini-F replication through interaction with the incC region.

Published
1984
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38. Host control of plasmid replication: requirement for the sigma factor sigma 32 in transcription of mini-F replication initiator gene.

Author

Wada, C, Imai, M, and Yura, T

Abstract

Replication of F factor or mini-F plasmid is strongly inhibited in the rpoH (htpR) mutants of Escherichia coli deficient in the sigma factor (sigma 32) known to be required for heat shock gene expression. Transcription of the mini-F repE gene encoding a replication initiator protein (E protein) was examined by operon fusion and by direct determination of repE mRNA. The synthesis rate and the level of repE mRNA were found to increase transiently upon temperature upshift (30 degrees C to 42 degrees C) in wild-type cells but to decrease rapidly in the rpoH mutants. Thus sigma 32 appeared to be directly involved in transcription of repE whose product, E protein, in turn activates DNA replication from the mini-F ori2 region. This scheme of host-controlled plasmid replication is further supported by the analysis of transcription in vitro: RNA synthesis can be initiated from the repE promoter by a minor form of RNA polymerase containing sigma 32 but not by the major polymerase containing the normal sigma factor sigma 70. The sigma 32-mediated transcription from the repE promoter is strongly inhibited by the E protein. We conclude that transcription of the mini-F repE gene is mediated by the host transcription factor sigma 32 and is negatively controlled by its own product.

Published
1987
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39. Genetic suppression of a dnaG mutation in Escherichia coli

Author

Katayama, T, Murakami, Y, Wada, C, Ohmori, H, Yura, T, and Nagata, T

Abstract

Escherichia coli strains with a temperature-sensitive mutation, dnaG2903, in the primase-encoding gene spontaneously reverted to the temperature-insensitive phenotype at a high frequency. Many of the reversions were caused by extragenic sdg suppressors. About 100 independently isolated sdg suppressors were analyzed. They fall into two classes. The sdgA mutations were genetically mapped very close to and upstream of the dnaG gene and were found to be cis dominant. DNA sequencing of two of them revealed that G----A and C----A base substitutions had occurred 43 and 62 bases, respectively, upstream of the dnaG start codon. This region represents a transcriptional terminator thought to contribute to control of dnaG gene expression. The other class of suppressor, sdgB, seemed to comprise mutant alleles in the rpoB gene coding for the beta subunit of RNA polymerase core enzyme. Some of them were initially isolated as rifampin-resistant mutants. Both the sdgA and sdgB suppressors were found to increase the transcriptional activity of dnaG. This finding and other observations led to the proposition that sdgA and sdgB suppress the phenotype caused by dnaG2903 by overproducing the mutated primase; the quantitative oversupply may compensate for the qualitative defect of the dnaG2903 primase. An alternative mechanism of suppression by sdgB is discussed.

Published
1989
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40. Indirect selection for plasmid mutants: isolation of ColVBtrp mutants defective in self-maintenance in Escherichia coli

Author

Koyama, A H, Wada, C, Nagata, T, and Yura, T

Abstract

An efficient method for isolation of a large number of plasmid mutants is described. It is based on the fact that N-methyl-N'-nitro-N-nitrosoguanidine induces a number of closely linked mutations within a short segment of the bacterial chromosome. Thus, selection for reversions of an auxotrophic marker located on the ColVBtrp plasmid yielded a large fraction (more than 50 percent) of mutants defective in some plasmid functions, including its own maintenance in the host bacteria. The results of preliminary characterization of strains carrying these mutated plasmids are presented.

Published
1975
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41. Escherichia coli mutants incapable of supporting replication of F-like plasmids at high temperature: isolation and characterization of mafA and mafB mutants

Author

Wada, C and Yura, T

Abstract

Mutants of Escherichia coli K-12 defective in replication of F-like plasmids at a high temperature (42 degrees C) were found among threonine-independent (Thr+) revertants of a threonine-requiring F' stain after localized mutagenesis with N-methyl-N'-nitro-N-nitrosoguanidine. Transduction experiments with phage P1 permitted us to divide these mutations into two classes with respect to man location; some mutations were located between thr and ara at about 0.8 min, very close to maf-1 reported previously (Wada et al., J. Mol. Biol. 108:25-41, 1976 and the others probably were located between leu and azi at about 1.8 min. The former class of mutants designated mafA exhibited the same plasmid specificity as maf-1; replication of plasmids F and ColVB trp, but not R386 or R222, were affected at a high temperature. By contrast, the latter mutants designated mafB were defective in replication of nay of these plasmids at a high temperature. When a culture of mafA mutants carrying an F' plasmid was transferred from 30 to 42 degrees C, the plasmid replication as determined by incorporation of [3H]thymidine into covalently closed circular F DNA was markedly inhibited. Under certain conditions, the temperature shift-up caused severe growth inhibition of the mutant cells. Examination of merodiploids (mafA/FmafA+) for plasmid maintenance suggested that the two mafA mutations tested (mafA23 and mafA36) were both dominant, at least partially, over the wild-type mafA+ allele. These properties of the mafA mutants, manifested at the restrictive temperature, are similar to those previously reported for the maf-1 mutant. Taken together with other evidence it is likely that these mutations affect either the same gene (mafA) or a set of closely linked genes, playing a specific role in autonomous plasmid replication in E. coli.

Published
1979
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44. CTG repeat length underlying cardiac events and sudden death in myotonic dystrophy type 1.

Author

Itoh H, Hisamatsu T, Segawa K, Takahashi T, Sato T, Takada H, Kuru S, Wada C, Suzuki M, Tamura T, Suwazono S, Kimura K, Matsumura T, and Takahashi MP

Abstract

Aims: Myotonic dystrophy Type 1 (DM1) is caused by the expansion of CTG repeats (CTGn) in the DM1 protein kinase (DMPK) gene, while it remains unclear whether CTGn may be associated with the incidence of cardiac events or sudden death in Japan as well as Europe. The aim of this study was to investigate the association between CTGn and cardiac involvements., Methods and Results: This cohort study included patients with DM1 who were retrospectively recruited from nine Japanese hospitals specializing in neuromuscular diseases. A total of 496 patients with DM1 who underwent a genetic test in the DMPK gene were analysed. Patients with congenital form or under 15 years old were excluded and patients were assigned into the quartiles. When we compared the incidence of cardiac events including advanced/complete atrioventricular block, pacemaker implantation, and ventricular tachycardias or mortality among four groups, patients with 1300 or longer CTGn experienced composite cardiac events [hazard ratio (HR): 3.19, 95% confidence interval (CI): 1.02-9.99, P = 0.014] more frequently and had significantly higher mortality rate (HR: 6.79, 95% CI: 2.05-22.49, P < 0.001) than those under 400 CTGn while the rate of sudden death was not significantly different., Conclusion: Regarding the cardiac events and mortality in patients with DM1, patients with 1300 or longer CTGn are at especially high risk., Competing Interests: Conflict of interest: None declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Published
2024
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45. The hibernation promoting factor of Betaproteobacteria Comamonas testosteroni cannot induce 100S ribosome formation but stabilizes 70S ribosomal particles.

Author

Ueta M, Wada A, and Wada C

Subjects
Ribosomal Proteins metabolism, Ribosomal Proteins genetics, Bacterial Proteins metabolism, Bacterial Proteins genetics, Ribosomes metabolism, Comamonas testosteroni metabolism, Comamonas testosteroni genetics
Abstract

Bacteria use several means to survive under stress conditions such as nutrient depletion. One such response is the formation of hibernating 100S ribosomes, which are translationally inactive 70S dimers. In Gammaproteobacteria (Enterobacterales), 100S ribosome formation requires ribosome modulation factor (RMF) and short hibernation promoting factor (HPF), whereas it is mediated by only long HPF in the majority of bacteria. Here, we investigated the role of HPFs of Comamonas testosteroni, which belongs to the Betaproteobacteria with common ancestor to the Gammaproteobacteria. C. testosteroni has two genes of HPF homologs of differing length (CtHPF-125 and CtHPF-119). CtHPF-125 was induced in the stationary phase, whereas CtHPF-119 conserved in many other Betaproteobacteria was not expressed in the culture conditions used here. Unlike short HPF and RMF, and long HPF, CtHPF-125 could not form 100S ribosome. We first constructed the deletion mutant of Cthpf-125 gene. When the deletion mutant grows in the stationary phase, 70S particles were degraded faster than in the wild strain. CtHPF-125 contributes to stabilizing the 70S ribosome. CtHPF-125 and CtHPF-119 both inhibited protein synthesis by transcription-translation in vitro. Our findings suggest that CtHPF-125 binds to ribosome, and stabilizes 70S ribosomes, inhibits translation without forming 100S ribosomes and supports prolonging life., (© 2024 Molecular Biology Society of Japan and John Wiley & Sons Australia, Ltd.)

Published
2024
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46. Effects of electrical stimulation of antagonist muscles on shoulder joint adduction force and grip strength.

Author

Nakano S, Okada H, Nakamura K, Kitagawa K, and Wada C

Abstract

[Purpose] This study aimed to determine whether applying electrical stimulation to the deltoid and extensor digitorum muscles could lead to a reduction in fixation force during shoulder joint adduction and grip strength. [Participants and Methods] Fifteen healthy adult males participated in this study. In the shoulder adduction force experiment, the middle fibers of the deltoid muscle of the dominant arm were electrically stimulated. In the grip strength experiment, the extensor digitorum muscle of the dominant arm was electrically stimulated. The forces exerted with and without the electrical stimulation were measured. [Results] The torque of the shoulder adduction force decreased significantly with electrical stimulation, while no significant change was observed in normalized grip strength with electrical stimulation. [Conclusion] The response of antagonist muscles to electrical stimulation varied according to location., Competing Interests: The authors declare no competing interests., (2024©by the Society of Physical Therapy Science. Published by IPEC Inc.)

Published
2024
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47. Inducing unstable walking conditions through visual and auditory stimuli.

Author

Ohara T, Zheng CY, Murata S, and Wada C

Abstract

[Purpose] Falls can significantly affect elderly individuals. However, most current methods used to detect and analyze high-risk conditions make use of simulated falling movements for data collection, which may not accurately represent actual falls. The present study aimed to induce natural falls using visual and auditory stimuli to create unstable walking conditions. [Participants and Methods] Two experiments were performed. The first experiment focused on inducing unstable walking using visual stimuli; whereas, the second experiment combined visual and auditory stimuli. To investigate the effects of stimuli on the induction of unstable walking, our results were compared with those of normal walking conditions. In addition, the two experimental conditions were compared to identify the most effective stimuli. [Results] Both experiments revealed a decrease in step length, an increase in step time and width, and an increase in the coefficient of variation of measurements, indicating an induced walking pattern with a higher risk of falls. Furthermore, combining visual and auditory stimuli caused deterioration of inter-limb coordination, as observed through an increased phase coordination index, thus resulting in further instability during walking. [Conclusion] Visual and auditory stimuli induced unstable walking. In particular, the combination of visual and auditory stimuli with a 0.8-s rhythm increased instability., Competing Interests: There are no conflicts of interest to be disclosed in this study., (2024©by the Society of Physical Therapy Science. Published by IPEC Inc.)

Published
2024
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48. Investigation of factors influencing low physical activity levels in community-dwelling older adults with chronic pain: a cross-sectional study.

Author

Hida M, Imai R, Nakamura M, Nakao H, Kitagawa K, Wada C, Eto S, Takeda M, and Imaoka M

Subjects
Humans, Aged, Cross-Sectional Studies, Independent Living, Algorithms, Exercise, Chronic Pain
Abstract

Low levels of physical activity in individuals with chronic pain can lead to additional functional impairment and disability. This study aims to investigate the predictors of low physical activity levels in individuals with chronic pain, and to determine the accuracy of the artificial neural network used to analyze these predictors. Community-dwelling older adults with chronic pain (n = 103) were surveyed for their physical activity levels and classified into low, moderate, or high physical activity level groups. Chronic pain-related measurements, physical function assessment, and clinical history, which all influence physical activity, were also taken at the same time. Logistic regression analysis and analysis of multilayer perceptron, an artificial neural network algorithm, were performed. Both analyses revealed that history of falls was a predictor of low levels of physical activity in community-dwelling older adults. Multilayer perceptron analysis was shown to have excellent accuracy. Our results emphasize the importance of fall prevention in improving the physical activity levels of community-dwelling older adults with chronic pain. Future cross-sectional studies should compare multiple analysis methods to show results with improved accuracy., (© 2023. Springer Nature Limited.)

Published
2023
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49. Effect of perioperative benzodiazepine use on intraoperative awareness and postoperative delirium: a systematic review and meta-analysis of randomised controlled trials and observational studies.

Author

Wang E, Belley-Côté EP, Young J, He H, Saud H, D'Aragon F, Um K, Alhazzani W, Piticaru J, Hedden M, Whitlock R, Mazer CD, Kashani HH, Zhang SY, Lucas A, Timmerman N, Nishi C, Jain D, Kugler A, Beaver C, Kloppenburg S, Schulman S, Borges FK, Kavosh M, Wada C, Lin S, Sibilio S, Lauw M, Benz A, Szczeklik W, Mokhtari A, Jacobsohn E, and Spence J

Subjects
Humans, Aged, Benzodiazepines adverse effects, Randomized Controlled Trials as Topic, Observational Studies as Topic, Emergence Delirium epidemiology, Emergence Delirium prevention & control, Dexmedetomidine therapeutic use, Intraoperative Awareness, Delirium chemically induced, Delirium prevention & control
Abstract

Background: Benzodiazepine use is associated with delirium, and guidelines recommend avoiding them in older and critically ill patients. Their perioperative use remains common because of perceived benefits., Methods: We searched CENTRAL, MEDLINE, CINAHL, PsycInfo, and Web of Science from inception to June 2021. Pairs of reviewers identified randomised controlled trials and prospective observational studies comparing perioperative use of benzodiazepines with other agents or placebo in patients undergoing surgery. Two reviewers independently abstracted data, which we combined using a random-effects model. Our primary outcomes were delirium, intraoperative awareness, and mortality., Results: We included 34 randomised controlled trials (n=4354) and nine observational studies (n=3309). Observational studies were considered separately. Perioperative benzodiazepines did not increase the risk of delirium (n=1352; risk ratio [RR] 1.43; 95% confidence interval [CI]: 0.9-2.27; I 2 =72%; P=0.13; very low-quality evidence). Use of benzodiazepines instead of dexmedetomidine did, however, increase the risk of delirium (five studies; n=429; RR 1.83; 95% CI: 1.24-2.72; I 2 =13%; P=0.002). Perioperative benzodiazepine use decreased the risk of intraoperative awareness (n=2245; RR 0.26; 95% CI: 0.12-0.58; I 2 =35%; P=0.001; very low-quality evidence). When considering non-events, perioperative benzodiazepine use increased the probability of not having intraoperative awareness (RR 1.07; 95% CI: 1.01-1.13; I 2 =98%; P=0.03; very low-quality evidence). Mortality was reported by one randomised controlled trial (n=800; RR 0.90; 95% CI: 0.20-3.1; P=0.80; very low quality)., Conclusions: In this systematic review and meta-analysis, perioperative benzodiazepine use did not increase postoperative delirium and decreased intraoperative awareness. Previously observed relationships of benzodiazepine use with delirium could be explained by comparisons with dexmedetomidine., Systematic Review Protocol: PROSPERO CRD42019128144., (Copyright © 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.)

Published
2023
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50. Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified.

Author

Shibahara T, Wada C, Yamashita Y, Fujita K, Sato M, Kuwata J, Okamoto A, and Ono Y

Subjects
Humans, Female, Logistic Models, Prognosis, Gene Expression Profiling methods, Biomarkers, Tumor genetics, Breast Neoplasms metabolism, Deep Learning
Abstract

Differentiating the intrinsic subtypes of breast cancer is crucial for deciding the best treatment strategy. Deep learning can predict the subtypes from genetic information more accurately than conventional statistical methods, but to date, deep learning has not been directly utilized to examine which genes are associated with which subtypes. To clarify the mechanisms embedded in the intrinsic subtypes, we developed an explainable deep learning model called a point-wise linear (PWL) model that generates a custom-made logistic regression for each patient. Logistic regression, which is familiar to both physicians and medical informatics researchers, allows us to analyze the importance of the feature variables, and the PWL model harnesses these practical abilities of logistic regression. In this study, we show that analyzing breast cancer subtypes is clinically beneficial for patients and one of the best ways to validate the capability of the PWL model. First, we trained the PWL model with RNA-seq data to predict PAM50 intrinsic subtypes and applied it to the 41/50 genes of PAM50 through the subtype prediction task. Second, we developed a deep enrichment analysis method to reveal the relationships between the PAM50 subtypes and the copy numbers of breast cancer. Our findings showed that the PWL model utilized genes relevant to the cell cycle-related pathways. These preliminary successes in breast cancer subtype analysis demonstrate the potential of our analysis strategy to clarify the mechanisms underlying breast cancer and improve overall clinical outcomes., Competing Interests: T.S., Y.Y., and J.K. are employees of Hitachi, Ltd. T.S. has a pending US patent 16/117260 belonging to Hitachi, Ltd., which is relevant to the study. Hitachi, Ltd. provides a consultancy service, which is relevant to the study. C.W., K.F., M.S., A.O., and Y.O. are employees of Daiichi Sankyo RD Novare Corporation, Ltd. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2023 Shibahara et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2023
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