637 results on '"Kohler, S."'
Search Results
2. Effect of a multi-domain intervention on the quality of life in older adults with major neurocognitive disorder: A pilot study
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Koskas, P., Kohler, S., Estrada, J., Sebbagh, M., Lacaille, S., and Lilamand, M.
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- 2022
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3. Iatrogenesis and neurological manifestations in the elderly
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Zerah, L., Bihan, K., Kohler, S., and Mariani, L.-L.
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- 2020
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4. Transverse cracking in the bulk and at the free edge of thin-ply composites: Experiments and multiscale modelling
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Kohler, S., Cugnoni, J., Amacher, R., and Botsis, J.
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- 2019
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5. Towards aerospace grade thin-ply composites: Effect of ply thickness, fibre, matrix and interlayer toughening on strength and damage tolerance
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Cugnoni, J., Amacher, R., Kohler, S., Brunner, J., Kramer, E., Dransfeld, C., Smith, W., Scobbie, K., Sorensen, L., and Botsis, J.
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- 2018
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6. High Resolution Image Registration for Micro-Colonies Monitoring on Petri Dishes
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Betzner, M., Pierquin, J., Kohler, S., and Dieterlen, A.
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- 2017
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7. Dose-Dependent Transformation of Cells of Human Fibroblast Cell Strain MSU-1.1 by Cobalt-60 Gamma Radiation and Characterization of the Transformed Cells
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O'Reilly, S., Walicka, M., Kohler, S. K., Dunstan, R., Maher, V. M., and McCormick, J. Justin
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- 1998
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8. Impactors long term collection errors and correction using reflected light microscopy
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Garra, P., Trouvé, G., Dieterlen, A., and Kohler, S.
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- 2016
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9. Household transmission of SARS-CoV-2 in a rural area in South Africa.
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Maimela, G., Martin, C. E., Chersich, M., Bello, B., Mauti, J., Bärnighausen, T., Kohler, S., Almuedo-Riera, A., Luchters, S., and Sawry, S.
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- 2024
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10. POSTER: spaceQUIC: Securing Communication in Computationally Constrained Spacecraft
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Smailes, J, David, R, Kohler, S, Birnbach, S, and Martinovic, I
- Subjects
FOS: Computer and information sciences ,Computer Science - Cryptography and Security ,Cryptography and Security (cs.CR) - Abstract
Recent years have seen a rapid increase in the number of CubeSats and other small satellites in orbit - these have highly constrained computational and communication resources, but still require robust secure communication to operate effectively. The QUIC transport layer protocol is designed to provide efficient communication with cryptography guarantees built-in, with a particular focus on networks with high latency and packet loss. In this work we provide spaceQUIC, a proof of concept implementation of QUIC for NASA's "core Flight System" satellite operating system, and assess its performance., 2 pages, 2 figures; the first two authors contributed equally to this paper
- Published
- 2023
11. Satellite spoofing from A to Z: on the requirements of satellite downlink overshadowing attacks
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Salkield, E, Szakály, M, Smailes, J, Kohler, S, Birnbach, S, Strohmeier, M, and Martinovic, I
- Abstract
Satellite communications are increasingly crucial for telecommunications, navigation, and Earth observation. However, many widely used satellites do not cryptographically secure the downlink, opening the door for radio spoofing attacks. Recent developments in software-defined radio hardware have enabled attacks on wireless systems including GNSS, which can be effectively spoofed using only cheap hardware available off the shelf. However, these conclusions do not generalize well to other satellite systems such as high data rate backhauls or satellite-to-customer connections, where the spoofing requirements are currently unknown. In this paper, we present a systematic review of spoofing attacks against satellite downlink communications systems. We establish a threat model linking attack feasibility and impact to required budget through real-world experiments and channel simulations. Our results show that nearly all evaluated satellite systems were overshadowable at a distance of 1km in the worst case, for a budget of ~2000 USD or less. We evaluate how the key challenges of antenna directionality, legitimate satellite signal presence, modulation schemes, and receiver saturation can be overcome in practice through antenna sidelobe targeting, overshadowing, and automatic gain control takeover. We also show that, surprisingly, protocols designed to be more robust against channel noise are significantly less robust against an overshadowing attacker. We conclude with a discussion of physicallayer countermeasures specifically applicable to satellite systems which can not be cryptographically upgraded.
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- 2023
12. Firefly: spoofing Earth observation satellite data through radio overshadowing
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Salkield, E, Birnbach, S, Kohler, S, Baker, R, Strohmeier, M, and Martinovic, I
- Abstract
Data from Earth Observation satellites has become crucial in private enterprises, research applications, and in coordinating national responses to events such as forest fires. These purposes are supported by data derived from a variety of satellites, some of which do not secure the wireless downlink channel effectively. This opens the door for modern adversaries to conduct spoofing attacks by overshadowing the signal with commercially available radio equipment. In this paper, we assess the vulnerability of current Earth Observation systems to spoofing attacks conducted at the physical layer. The effect of these attacks is amplified since the data is received at dedicated ground stations and distributed to hundreds of downstream systems, which are themselves not designed with security in mind. Specifically, we take NASA’s live forest fire detection system as a case study, and demonstrate that the attacker can achieve arbitrary manipulation of fires in the derived dataset to trigger false emergency responses or mislead crisis analysis. We also assess the attack surface presented by ground station software which implicitly trusts data from the RF port. Against the NASA system we uncover several new vulnerabilities that can be exploited to stealthily deny service. We conclude with a discussion of physical-layer countermeasures to detect and defend against spoofing, which can be implemented in existing deployments at the ground station.
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- 2023
13. ABO-Compatible Retransplantation After ABO-Incompatible Infant Heart Transplantation: Absence of Donor Specific Isohemagglutinins
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Kohler, S., Engmann, R., Birnbaum, J., Fuchs, A., Kaczmarek, I., Netz, H., and Kozlik-Feldmann, R.
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- 2014
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14. Revisiting the Novelty Effect: When Familiarity, Not Novelty, Enhances Memory
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Poppenk, J., Kohler, S., and Moscovitch, M.
- Abstract
Reports of superior memory for novel relative to familiar material have figured prominently in recent theories of memory. However, such "novelty effects" are incongruous with long-standing observations that familiar items are remembered better. In 2 experiments, we explored whether this discrepancy was explained by differences in the type of familiarity under consideration or by differences in the difficulty of discriminating targets from lures, which may lead to source confusion for familiar but not novel targets. In Experiment 1, we directly tested whether previously observed novelty effects were the result of novelty, discrimination demands, or both. We used linguistic materials (proverbs) to replicate the novelty effect but found that it occurred only when familiar items were subject to source confusion. In Experiment 2, to examine better how novelty influences episodic memory, we used experimentally familiar, pre-experimentally familiar, and novel proverbs in a paradigm designed to overcome discrimination demand confounds. Memory was better for both types of familiar proverbs. These results indicate that familiarity, not novelty, leads to better episodic memory for studied items, regardless of whether familiarity is experimentally induced or based on prior semantic knowledge. We argue that proposals that state that information is encoded better if it is novel are based on over-generalizations of effects arising from the distinctiveness of novel materials. (Contains 2 tables and 2 figures.)
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- 2010
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15. Monitoring for potential residual disease activity by serum insulin-like growth factor 1 and soluble Klotho in patients with acromegaly after pituitary surgery: Is there an impact of the genomic deletion of exon 3 in the growth hormone receptor (d3-GHR) gene on “safe” GH cut-off values?
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Kohler, S., Tschopp, O., Sze, L., Neidert, M., Bernays, R.-L., Spanaus, K.-S., Wiesli, P., and Schmid, C.
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- 2013
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16. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019
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Abbafati, C., Machado, D.B., Cislaghi, B., Salman, O.M., Karanikolos, M., McKee, M., Abbas, K.M., Brady, O.J., Larson, H.J., Trias-Llimós, S., Cummins, S., Langan, S.M., Sartorius, B., Hafiz, A., Jenabi, E., Mohammad Gholi Mezerji, N., Borzouei, S., Azarian, G., Khazaei, S., Abbasi, M., Asghari, B., Masoumi, S., Komaki, H., Taherkhani, A., Adabi, M., Abbasifard, M., Bazmandegan, G., Kamiab, Z., Vakilian, A., Anjomshoa, M., Mokari, A., Sabour, S., Shahbaz, M., Saeedi, R., Ahmadieh, H., Yousefinezhadi, T., Haj-Mirzaian, A., Nikbakhsh, R., Safi, S., Asgari, S., Irvani, S.N., Jahanmehr, N., Ramezanzadeh, K., Abbasi-Kangevari, M., Khayamzadeh, M., Abbastabar, H., Shirkoohi, R., Fazlzadeh, M., Janjani, H., Hosseini, M., Mansournia, M., Tohidinik, H., Bakhtiari, A., Fazaeli, A., Mousavi, S., Hasanzadeh, A., Nabavizadeh, B., Malekzadeh, R., Hashemian, M., Pourshams, A., Salimzadeh, H., Sepanlou, S.G., Afarideh, M., Esteghamati, A., Esteghamati, S., Ghajar, A., Heidari, B., Rezaei, N., Mohamadi, E., Rahimi-Movaghar, A., Rahim, F., Eskandarieh, S., Sahraian, M., Mohebi, F., Aminorroaya, A., Ebrahimi, H., Farzadfar, F., Mohajer, B., Pishgar, F., Saeedi Moghaddam, S., Shabani, M., Zarafshan, H., Abolhassani, H., Hafezi-Nejad, N., Heidari-Soureshjani, R., Abdollahi, M., Farahmand, M., Salamati, P., Mehrabi Nasab, E., Tajdini, M., Aghamir, S., Mirzaei, R., Dibaji Forooshani, Z., Khater, M.M., Abd-Allah, F., Abdelalim, A., Abualhasan, A., El-Jaafary, S.I., Hassan, A., Elsharkawy, A., Khater, A.M., Elhabashy, H.R., Salem, M.R.R., Salem, H., Sadeghi, M., Jafarinia, M., Amini-Rarani, M., Mohammadifard, N., Sarrafzadegan, N., Abdollahpour, I., Sarveazad, A., Tehrani-Banihashemi, A., Yoosefi Lebni, J., Manafi, N., Pazoki Toroudi, H., Dorostkar, F., Alipour, V., Sheikhtaheri, A., Arabloo, J., Azari, S., Ghashghaee, A., Rezapour, A., Naserbakht, M., Kabir, A., Mehri, F., Yousefifard, M., Asadi-Aliabadi, M., Babaee, E., Eshrati, B., Goharinezhad, S., Moradi-Lakeh, M., Abedi, P., Rashedi, V., Kumar, V., Elgendy, I.Y., Basu, S., Park, J., Pereira, A., Norheim, O.F., Eagan, A.W., Cahill, L.E., Sheikh, A., Abushouk, A.I., Kraemer, M.U.G., Thakur, B., Bärnighausen, T.W., Shrime, M.G., Abedi, A., Doshi, C.P., Abegaz, K.H., Geberemariyam, B.S., Aynalem, Y.A., Shiferaw, W.S., Abosetugn, A.E., Aboyans, V., Abrams, E.M., Gitimoghaddam, M., Kissoon, N., Stubbs, J.L., Brauer, M., Iyamu, I.O., Kopec, J.A., Pourmalek, F., Ribeiro, A.P., Malta, D.C., Gomez, R.S., Abreu, L.G., Abrigo, M.R.M., Almulhim, A.M., Dahlawi, S.M.A., Pottoo, F.H., Menezes, R.G., Alanzi, T.M., Alumran, A.K., Abu Haimed, A.K., Madadin, M., Alanezi, F.M., Abu-Gharbieh, E., Saddik, B., Abu-Raddad, L.J., Samy, A.M., El Nahas, N., Shalash, A.S., Nabhan, A.F., Kamath, A.M., Kassebaum, N.J., Aravkin, A.Y., Kochhar, S., Sorensen, R.J.D., Afshin, A., Burkart, K., Cromwell, E.A., Dandona, L., Dharmaratne, S.D., Gakidou, E., Hay, S.I., Kyu, H.H., Lopez, A.D., Lozano, R., Misganaw, A.T., Mokdad, A.H., Naghavi, M., Pigott, D.M., Reiner Jr, R.C., Roth, G.A., Stanaway, J.D., Vollset, S., Vos, T., Wang, H., Lim, S.S., Murray, C.J.L., Kalani, R., Ikuta, K.S., Cho, D.Y., Kneib, C.J., Crowe, C.S., Massenburg, B.B., Morrison, S.D., Acebedo, A., Adelson, J.D., Agesa, K.M., Alam, T., Albertson, S.B., Anderson, J.A., Antony, C.M., Ashbaugh, C., Assmus, M., Azhar, G., Balassyano, S., Bannick, M.S., Barthelemy, C.M., Bender, R.G., Bennitt, F.B., Bertolacci, G.J., Biehl, M.H., Bisignano, C., Boon-Dooley, A.S., Briant, P.S., Bryazka, D., Bumgarner, B.R., Callender, C.S., Cao, J., Castle, C.D., Castro, E., Causey, K., Cercy, K.M., Chalek, J., Charlson, F.J., Cohen, A.J., Comfort, H., Compton, K., Croneberger, A.J., Cruz, J.A., Cunningham, M., Dandona, R., Dangel, W.J., Dean, F.E., DeCleene, N.K., Deen, A., Degenhardt, L., Dingels, Z.V., Dippenaar, I.N., Dirac, M.A., Dolgert, A.J., Emmons-Bell, S., Estep, K., Farag, T., Feigin, V.L., Feldman, R., Ferrara, G., Ferrari, A.J., Fitzgerald, R., Force, L.M., Fox, J.T., Frank, T.D., Fu, W., Fukutaki, K., Fuller, J.E., Fullman, N., Galles, N.C., Gardner, W.M., Gershberg Hayoon, A., Goren, E., Gorman, T.M., Gottlich, H.C., Guo, G., Haddock, B., Hagins, H., Haile, L.M., Hamilton, E.B., Han, C., Han, H., Harvey, J.D., Henny, K., Henrikson, H.J., Henry, N.J., Herbert, M.E., Hsiao, T., Huynh, C.K., Iannucci, V.C., Ippolito, H., Irvine, C.M.S., Jafari, H., Jahagirdar, D., James, S.L., Johnson, C.O., Johnson, S.C., Keller, C., Kemmer, L., Kendrick, P.J., Knight, M., Kocarnik, J.M., Krohn, K.J., Larson, S.L., Lau, K.M., Ledesma, J.R., Leever, A.T., LeGrand, K.E., Lescinsky, H., Lin, C., Liu, H., Liu, Z., Lo, J., Lu, A., Ma, J., Maddison, E.R., Manguerra, H., Marks, A., Martopullo, I., Mastrogiacomo, C.I., May, E.A., Mooney, M.D., Mosser, J.F., Mullany, E.C., Mumford, J., Munro, S.B., Nandakumar, V., Nguyen, J., Nguyen, M., Nichols, E., Nixon, M.R., Odell, C.M., Ong, K.L., Orji, A.U., Ostroff, S.M., Pasovic, M., Paulson, K.R., Pease, S.A., Pennini, A., Pierce, M., Pilz, T.M., Pletcher, M., Rao, P.C., Razo, C., Redford, S.B., Reinig, N., Reitsma, M.B., Rhinehart, P., Robalik, T., Roberts, S., Roberts, N.L.S., Rolfe, S., Sbarra, A.N., Schaeffer, L.E., Shackelford, K.A., Shadid, J., Sharara, F., Shaw, D.H., Sheena, B.S., Simpson, K.E., Smith, A., Spencer, C.N., Spurlock, E.E., Stark, B.A., Steiner, C., Steuben, K.M., Sylte, D.O., Tang, M., Taylor, H.J., Terrason, S., Thomson, A.M., Torre, A.E., Travillian, R., Troeger, C.E., Vongpradith, A., Walters, M.K., Wang, J., Watson, A., Watson, S., Whisnant, J.L., Whiteford, H.A., Wiens, K.E., Wilner, L.B., Wilson, S., Wool, E.E., Wozniak, S.S., Wu, J., Wulf Hanson, S., Wunrow, H., Xu, R., Yadgir, S., Yearwood, J.A., York, H.W., Yuan, C., Zhao, J.T., Zheng, P., Zimsen, S.R.M., Zlavog, B.S., Chang, A.Y., Oren, E., Buchbinder, R., Chin, K.L., Guo, Y., Polkinghorne, K.R., Thrift, A.G., Lee, S.W.H., Ackerman, I.N., Cicuttini, F.M., Li, S., Zaman, S., Suleria, H., Zhang, J., Cowie, B.C., Wijeratne, T., Patton, G.C., Sawyer, S.M., Adair, T., Meretoja, A., Adetokunboh, O.O., Adamu, A.A., Iwu, C.J., Parry, C.D.H., Seedat, S., Ndwandwe, D.E., Mahasha, P.W., Stein, D.J., Nnaji, C.A., Sambala, E.Z., Wiysonge, C.S., Adebayo, O.M., Ilesanmi, O.S., Owolabi, M.O., Adeoye, A.M., Adedeji, I.A., Adekanmbi, V., Ibitoye, S.E., John-Akinola, Y.O., Oluwasanu, M.M., Oghenetega, O.B., Akinyemi, R.O., Zandian, H., Adham, D., Zahirian Moghadam, T., Advani, S.M., Teagle, W.L., Braithwaite, D., Agasthi, P., Saadatagah, S., Afshari, M., Agardh, E.E., Allebeck, P., Danielsson, A., Deuba, K., Carrero, J.J., Mohammad, D.K., Fereshtehnejad, S., Ärnlöv, J., Nowak, C., Cederroth, C.R., Ahmadi, A., Pathak, A., Mills, E.J., Kurmi, O.P., Olagunju, A.T., Agarwal, G., Sathish, T., Aghaali, M., Mohammadbeigi, A., Agrawal, A., Ahmad, T., Ahmadi, K., Maleki, S., Naderi, M., Salahshoor, M.R., Pourmirza Kalhori, R., Almasi, A., Salimi, Y., Siabani, S., Ziapour, A., Barzegar, A., Khazaie, H., Kianipour, N., Amiri, F., Salehi Zahabi, S., Mirzaei, M., Shamsi, M., Najafi, F., Jalali, A., Ghadiri, K., Heydarpour, F., Fattahi, N., Karami Matin, B., Kazemi Karyani, A., Pirsaheb, M., Rajati, F., Sadeghi, E., Safari, Y., Sharafi, K., Soltani, S., Vasseghian, Y., Atafar, Z., Jalilian, F., Mirzaei-Alavijeh, M., Saeidi, S., Soofi, M., Zangeneh, A., Mansouri, B., Ahmadi, M., Khafaie, M.A., Safiri, S., Moghadaszadeh, M., Asghari Jafarabadi, M., Doshmangir, L., Jadidi-Niaragh, F., Ghafourifard, M., Spotin, A., Khodayari, M., Samadi Kafil, H., Kalankesh, L.R., Ahmadpour, E., Yousefi, B., Ansari, F., Hassankhani, H., Karimi, S., Haririan, H., Mereta, S., Ahmed, M.B., Feyissa, G.T., Ciobanu, L.G., Aji, B., Aynalem, G.L., Gebresillassie, B., Tefera, Y.G., Akalu, T.Y., Baraki, A.G., Tesema, G.A., Tessema, Z.T., Tamiru, A.T., Azene, Z.N., Netsere, H.B., Yano, Y., Akinyemiju, T., Wu, C., Zadey, S., Samad, Z., Ji, J.S., Doshi, P.P., John, O., Jha, V., Maulik, P.K., Pesudovs, K., Resnikoff, S., Mitchell, P.B., Sachdev, P.S., Akombi, B., Godinho, M.A., Ivers, R.Q., Peden, A.E., Biswas, R., Boufous, S., Akunna, C.J., Alahdab, F., Hammer, M.S., van Donkelaar, A., Al-Aly, Z., Dellavalle, R.P., Alam, S., Martin, R.V., Alam, N., De Leo, D., Tadakamadla, S.K., Alam, K., Alcalde-Rabanal, J.E., Avila-Burgos, L., Serván-Mori, E., Denova-Gutiérrez, E., Rodríguez-Ramírez, S., Morales, L., Poznańska, A., Wojtyniak, B., Rivera, J.A., Campos-Nonato, I.R., Campuzano Rincon, J., Sánchez-Pimienta, T.G., Mengesha, M.B., Welay, F.T., Alema, N.M., Demsie, D.G., Teame, H., Teklehaimanot, B.F., Alemu, B.W., Gultie, T., Bante, A.B., Yeshitila, Y.G., Geramo, Y.C.D., Glagn, M., Sorrie, M.B., W/hawariat, F.G., Amare, A., Kasa, A., Alemu, Y., Mihretie, K.M., Atnafu, D.D., Demeke, F.M., Melese, A., Bante, S.A., Dessie, G.A., Mengesha, E.W., Nigatu, D., Almadi, M.A.H., Alhabib, K.F., Mohammad, Y., Altirkawi, K.A., Temsah, M., Kugbey, N., Ayanore, M.A., Alhassan, R.K., Ali, M., Ali, S., Alicandro, G., Kalhor, R., Alijanzadeh, M., Alinia, C., Yusefzadeh, H., Didarloo, A., Alizade, H., Nikpoor, A., Aljunid, S.M., Alla, F., Leal, L.F., Almasi-Hashiani, A., Moradzadeh, R., Zamanian, M., Nazari, J., Amini, S., Ghamari, F., Almasri, N.A., Khan, M., Al-Mekhlafi, H.M., Bedi, N., Alonso, J., Ciber, E.S.P., Al-Raddadi, R.M., Zakzuk, J., Alvis-Guzman, N., Alvis-Zakzuk, N.J., Castañeda-Orjuela, C.A., Malagón-Rojas, J.N., Gezae, K., Gesesew, H.A., Muthupandian, S., Gebremeskel, G.G., Berhe, K., Amare, B., Ayza, M.A., Gebremeskel, L.G., Gebreslassie, A.A.A., Bitew, H., Zewdie, K.A., Tela, F.G.G., Gill, T.K., Noubiap, J., Lassi, Z.S., Bhandari, D., Amit, A.L., Antonio, C.T., Faraon, E.A., Lopez, J.F., Atre, S.R., Ballew, S.H., Matsushita, K., Khoja, A.T., Daneshpajouhnejad, P., Ghadimi, M., Shafaat, O., Fanzo, J., Amugsi, D.A., Amul, G.H., Koh, D.S.Q., Venketasubramanian, N., Anbesu, E.W., Mohammed, J.A., Wondmeneh, T.G., Andrei, C., Negoi, R.I., Davitoiu, D.V., Manda, A., Negoi, I., Preotescu, L., Hostiuc, M., Hostiuc, S., Ancuceanu, R., Hasan, M., Leung, J., Anderlini, D., Mamun, A.A., Maravilla, J.C., McGrath, J.J., Lalloo, R., Uddin, R., Erskine, H.E., Knibbs, L.D., Mantilla Herrera, A.M., Santomauro, D.F., Mirica, A., Ausloos, M., Herteliu, C., Oţoiu, A., Pana, A., Andrei, T., Ştefan, S., Androudi, S., Angus, C., Ansari, I., Pourjafar, H., Shams-Beyranvand, M., Ansari-Moghaddam, A., Khammarnia, M., Antonazzo, I., Ferrara, P., Conti, S., Cortesi, P.A., Fornari, C., Lee, P.H., Antriyandarti, E., Yousefi, Z., Rafiei, A., Javidnia, J., Faridnia, R., Anvari, D., Goudarzian, A., Moosazadeh, M., Rezai, M., Daryani, A., Fareed, M., Anwer, R., Appiah, S., Paudel, D., Dichgans, M., Riahi, S., Rajabpour-Sanati, A., Arab-Zozani, M., Arba, A.A.K., Aremu, O., Ariani, F., Aripov, T., Armoon, B., Mahdavi, M.M., Arowosegbe, O.O., Tediosi, F., Aryal, K.K., Mosapour, A., Yaminfirooz, M., Arzani, A., Bijani, A., Jahani, M.A., Mouodi, S., Zamani, M., Asaad, M., Dianatinasab, M., Bahrami, M., Pakshir, K., Asadi-Pooya, A.A., Bayati, M., Shahabi, S., Athari, S., Atout, M.M.W., Atteraya, M.S., Brugha, T., Ausloos, F., Avokpaho, E.F.G., Room, R., Islam, M., Edvardsson, D., Rahman, M., Ayala Quintanilla, B., Gething, P.W., Briggs, A.M., Ayano, G., Hendrie, D., Miller, T.R., Azzopardi, P.S., Hoogar, P., B, D.B., Kulkarni, V., Kumar, N., Mithra, P., Shetty, R.S., Thapar, R., Padubidri, J., Bakkannavar, S.M., Nayak, V.C., Rastogi, P., Shetty, B.K., Bhageerathy, R., Gudi, N., Boloor, A., Holla, R., Rathi, P., Unnikrishnan, B., Janodia, M.D., Lang, J.J., Badawi, A., Orpana, H.M., Bhutta, Z.A., Shield, K.D., Chattu, V., Badiye, A.D., Kapoor, N., Bagherzadeh, M., Rabiee, N., Bagli, E., Baig, A.A., Bairwa, M., Lodha, R., Sagar, R., Rath, G.K., Bhardwaj, P., Charan, J., Kanchan, T., Joshi, A., Pakhare, A.P., Bakhshaei, M., Naghshtabrizi, B., Balachandran, A., Hoek, H.W., Postma, M.J., Geremew, A., Gebrehiwot, A.M., Balakrishnan, S., Desalew, A., Bojia, H.A., Mohammed, A.S., Regassa, L.D., Parmar, P.G.K., Balalla, 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Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omar Bali, Ahmed, Ong, Kanyin L, Onwujekwe, Obinna E, Ortiz, Alberto, Otstavnov, Nikita, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa O, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Park, Jame, Pasupula, Deepak Kumar, Patel, Jenil R, Patel, Sangram Kishor, Patton, George C, Paulson, Katherine R, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perico, Norberto, Pigott, David M, Pilgrim, Thoma, Pilz, Tessa M, Piradov, Michael A, Pirsaheb, Meghdad, Pokhrel, Khem Narayan, Postma, Maarten J, Pourjafar, Hadi, Pourmalek, Farshad, Pourshams, Akram, Poznańska, Anna, Prada, Sergio I, Prakash, Sanjay, Preotescu, Liliana, Quazi Syed, Zahiruddin, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Raggi, Alberto, Rahman, Muhammad Aziz, Rajabpour-Sanati, Ali, Ram, Pradhum, Ranabhat, Chhabi Lal, Rao, Sowmya J, Rasella, Davide, Rashedi, Vahid, Rastogi, Prateek, Rathi, Priya, Rawal, Lal, Remuzzi, Giuseppe, Renjith, Vishnu, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Nima, Rezai, Mohammad sadegh, Rezapour, Aziz, Rickard, Jennifer, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostamian, Morteza, Rubagotti, Enrico, Rwegerera, Godfrey M, Sabour, Siamak, Saddik, Basema, Sadeghi, Ehsan, Sadeghi, Masoumeh, Saeedi Moghaddam, Sahar, Safari, Yahya, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S Mohammad, Salahshoor, Mohammad Reza, Salama, Joseph S, Salamati, Payman, Salem, Marwa R Rashad, Salimi, Yahya, Salomon, Joshua A, Salz, Inbal, Samad, Zainab, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Saraswathy, Sivan Yegnanarayana Iyer, Sartorius, Benn, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sattin, Davide, Saylan, Mete, Schaeffer, Lauren E, Schiavolin, Silvia, Schwebel, David C, Schwendicke, Falk, Sekerija, Mario, Senbeta, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabani, Mahsima, Shahabi, Saeed, Shahbaz, Mohammad, Shaheen, Amira A, Shaikh, Masood Ali, Shalash, Ali S, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomar, Sharafi, Zeinab, Sharara, Fablina, Sharma, Rajesh, Shaw, David H, Sheikh, Aziz, Shin, Jae Il, Shiri, Rahman, Shrime, Mark G, Shuval, Kerem, Siabani, Soraya, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santo, Simonetti, Biagio, Simpson, Kyle E, Singh, Jasvinder A, Skiadaresi, Eirini, Skryabin, Valentin Yurievich, Soheili, Amin, Sokhan, Anton, Sorensen, Reed J D, Soriano, Joan B, Sorrie, Muluken Bekele, Soyiri, Ireneous N, Spurlock, Emma Elizabeth, Sreeramareddy, Chandrashekhar T, Stockfelt, Leo, Stokes, Mark A, Stubbs, Jacob L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Suliankatchi Abdulkader, Rizwan, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Tadakamadla, Santosh Kumar, Taherkhani, Amir, Tang, Muming, Taveira, Nuno, Taylor, Heather Jean, Teagle, Whitney L, Tehrani-Banihashemi, Arash, Teklehaimanot, Berhane Fseha, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Thrift, Amanda G, Titova, Mariya Vladimirovna, Tohidinik, Hamid Reza, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Tovani-Palone, Marcos Roberto Roberto, Traini, Eugenio, Tran, Bach Xuan, Travillian, Ravensara, Trias-Llimós, Sergi, Truelsen, Thomas Clement, Tudor Car, Lorainne, Unnikrishnan, Bhaskaran, Upadhyay, Era, Vacante, Marco, Vakilian, Alireza, Valdez, Pascual R, Valli, Alessandro, Vardavas, Constantine, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogale, Vasseghian, Yasser, Veisani, Yousef, Venketasubramanian, Narayanaswamy, Vidale, Simone, Violante, Francesco S, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vujcic, Isidora S, Vukovic, Ana, Vukovic, Rade, Waheed, Yasir, Wallin, Mitchell Taylor, Walters, Magdalene K, Wang, Hongbo, Wang, Yuan-Pang, Watson, Stefanie, Wei, Jingkai, Weiss, Jordan, Weldesamuel, Girmay Teklay, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wiangkham, Taweewat, Wiens, Kirsten E, Wijeratne, Tissa, Wiysonge, Charles Shey, Wojtyniak, Bogdan, Wolfe, Charles D A, Wondmieneh, Adam Belay, Wool, Eve E, Wu, Ai-Min, Wu, Junjie, Xu, Gelin, Yamada, Tomohide, Yamagishi, Kazumasa, Yano, Yuichiro, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yearwood, Jamal A, Yeheyis, Tomas Y, Yilgwan, Christopher Sabo, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yoosefi Lebni, Javad, York, Hunter W, Younis, Mustafa Z, Younker, Theodore Patrick, Yousefi, Zabihollah, Yousefinezhadi, Taraneh, Yousuf, Abdilahi Yousuf, Yusefzadeh, Hasan, Zahirian Moghadam, Telma, Zakzuk, Josefina, Zaman, Sojib Bin, Zamani, Mohammad, Zamanian, Maryam, Zandian, Hamed, Zhang, Zhi-Jiang, Zheng, Peng, Zhou, Maigeng, Ziapour, Arash, Murray, Christopher J L, Collaborators, GBD 2019 Demographics, GBD 2019 Demographics Collaborator, Violante FS, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Department of Earth Systems Analysis, Biomechanical Engineering, TechMed Centre, Biomolecular Nanotechnology, Research Methodology, Measurement and Data Analysis, Materials Science and Technology of Polymers, Inorganic Materials Science, MESA+ Institute, Biomedical and Environmental Sensorsystems, Mesoscale Chemical Systems, Faculty of Engineering Technology, Nonlinear Solid Mechanics, Digital Society Institute, Pervasive Systems, Nanobiophysics, Faculty of Geo-Information Science and Earth Observation, Multi Scale Mechanics, Engineering Fluid Dynamics, Physics of Complex Fluids, Developmental BioEngineering, Physics of Fluids, Elastomer Technology and Engineering, Medical Cell Biophysics, European Membrane Institute, Department of Earth Observation Science, Biomaterials Science and Technology, Sustainable Process Technology, Department of Urban and Regional Planning and Geo-Information Management, Department of Natural Resources, XUV Optics, Databases (Former), Department of Water Resources, Psychology, Health & Technology, Membrane Science & Technology, Department of Public Health, Clinicum, HUS Neurocenter, HUS Comprehensive Cancer Center, and Environmental Sciences
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Male ,very elderly ,Demographic transition ,HALE ,030204 cardiovascular system & hematology ,preschool child ,Global Burden of Disease ,Carga Global de Enfermedades ,0302 clinical medicine ,newborn ,Risk Factors ,Surveys and Questionnaires ,and Risk Factors Study ,80 and over ,030212 general & internal medicine ,Birth Rate ,Child ,Migration ,11 Medical and Health Sciences ,Aged, 80 and over ,education.field_of_study ,Injuries ,Geography ,Mortality rate ,1. No poverty ,DEATH ,Censuses ,General Medicine ,SDG 10 - Reduced Inequalities ,Middle Aged ,Demographic analysis ,3142 Public health care science, environmental and occupational health ,3. Good health ,demographic analysis ,Estilo de Vida Saludable ,risk factor ,Child, Preschool ,Demography/statistics & numerical data ,Global Burden of Diseases, Injuries, Risk Factors, Fertility, Mortality, Migration, Population ,epidemiology ,Female ,A990 Medicine and Dentistry not elsewhere classified ,CHILD-MORTALITY ,Live Birth ,Global Health Metrics ,TRANSITION ,demographics ,GBD ,fertility ,mortality ,hale ,Adult ,Adolescent ,Total fertility rate ,Population ,Global Burden of Diseases, Injuries, and Risk Factors Study ,Birth rate ,03 medical and health sciences ,Young Adult ,Life Expectancy ,SDG 3 - Good Health and Well-being ,General & Internal Medicine ,SYSTEMATIC ANALYSIS ,Demografía ,Humans ,Global Burden of Disease Study ,human ,Mortality ,education ,Preschool ,Aged ,Demography ,Spatial Analysis ,questionnaire ,Infant, Newborn ,Klinisk medicin ,HIV ,Infant ,Global Burden of Diseases ,sex-specific fertility ,Live Birth/epidemiology ,purl.org/pe-repo/ocde/ford#3.02.00 [https] ,MODEL ,Fertilidad ,Fertility ,Demographic change ,Life expectancy ,NA ,global disease burden ,Clinical Medicine ,population research - Abstract
Background Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings The global TFR decreased from 2.72 (95% uncertainty interval [UI] 2.66-2.79) in 2000 to 2.31 (2.17-2.46) in 2019. Global annual livebirths increased from 134.5 million (131.5-137.8) in 2000 to a peak of 139.6 million (133.0-146.9) in 2016. Global livebirths then declined to 135.3 million (127.2-144.1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2.1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27.1% (95% UI 26.4-27.8) of global livebirths. Global life expectancy at birth increased from 67.2 years (95% UI 66.8-67.6) in 2000 to 73.5 years (72.8-74.3) in 2019. The total number of deaths increased from 50.7 million (49.5-51.9) in 2000 to 56.5 million (53.7-59.2) in 2019. Under-5 deaths declined from 9.6 million (9.1-10.3) in 2000 to 5.0 million (4.3-6.0) in 2019. Global population increased by 25.7%, from 6.2 billion (6.0-6.3) in 2000 to 7.7 billion (7.5-8.0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58.6 years (56.1-60.8) in 2000 to 63.5 years (60.8-66.1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Interpretation Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
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- 2020
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17. Universal patterns in multifrequency-driven dissipative systems
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Olivera Atencio, María Laura, Lamata Manuel, Lucas, Kohler, S., Casado Pascual, Jesús, Universidad de Sevilla. Departamento de Física Atómica, Molecular y Nuclear, Junta de Andalucía, and Ministerio de Ciencia, Innovación y Universidades (MICINN). España
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Quantum Physics ,Statistical Mechanics (cond-mat.stat-mech) ,General Physics and Astronomy ,FOS: Physical sciences ,Quantum Physics (quant-ph) ,Condensed Matter - Statistical Mechanics - Abstract
The response of dissipative systems to multi-chromatic fields exhibits generic properties which follow from the discrete time-translation symmetry of each driving component. We derive these properties and illustrate them with paradigmatic examples of classical and quantum dissipative systems. In addition, some computational aspects, in particular a matrix continued-fraction method, are discussed. Moreover, we propose possible implementations with quantum optical settings., Invited EPL perspective, 6 pages, 2 figures
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- 2022
18. Correction: Solving unsolved rare neurological diseases—a Solve-RD viewpoint (European Journal of Human Genetics, (2021), 29, 9, (1332-1336), 10.1038/s41431-021-00901-1)
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Schule R., Timmann D., Erasmus C. E., Reichbauer J., Wayand M., Baets J., Balicza P., Chinnery P., Durr A., Haack T., Hengel H., Horvath R., Houlden H., Kamsteeg E. -J., Kamsteeg C., Lohmann K., Macaya A., Marce-Grau A., Maver A., Molnar J., Munchau A., Peterlin B., Riess O., Schols L., Stevanin G., Synofzik M., Timmerman V., van de Warrenburg B., van Os N., Vandrovcova J., Wilke C., Bevot A., Zuchner S., Beltran S., Laurie S., Matalonga L., Graessner H., Zurek B., Ellwanger K., Ossowski S., Demidov G., Sturm M., Schulze-Hentrich J. M., Heutink P., Brunner H., Scheffer H., Hoogerbrugge N., Hoischen A., 't Hoen P. A. C., Vissers L. E. L. M., Gilissen C., Steyaert W., Sablauskas K., de Voer R. M., Janssen E., de Boer E., Steehouwer M., Yaldiz B., Kleefstra T., Brookes A. J., Veal C., Gibson S., Wadsley M., Mehtarizadeh M., Riaz U., Warren G., Dizjikan F. Y., Shorter T., Topf A., Straub V., Bettolo C. M., Specht S., Clayton-Smith J., Banka S., Alexander E., Jackson A., Faivre L., Thauvin C., Vitobello A., Denomme-Pichon A. -S., Duffourd Y., Tisserant E., Bruel A. -L., Peyron C., Pelissier A., Gut I. G., Piscia D., Papakonstantinou A., Bullich G., Corvo A., Garcia C., Fernandez-Callejo M., Hernandez C., Pico D., Paramonov I., Lochmuller H., Gumus G., Bros-Facer V., Rath A., Hanauer M., Olry A., Lagorce D., Havrylenko S., Izem K., Rigour F., Davoine C. -S., Guillot-Noel L., Heinzmann A., Coarelli G., Bonne G., Evangelista T., Allamand V., Nelson I., Yaou R. B., Metay C., Eymard B., Cohen E., Atalaia A., Stojkovic T., Macek M., Turnovec M., Thomasova D., Kremlikova R. P., Frankova V., Havlovicova M., Kremlik V., Parkinson H., Keane T., Spalding D., Senf A., Robinson P., Danis D., Robert G., Costa A., Patch C., Hanna M., Reilly M., Muntoni F., Zaharieva I., Sarkozy A., de Jonghe P., Nigro V., Banfi S., Torella A., Musacchia F., Piluso G., Ferlini A., Selvatici R., Rossi R., Neri M., Aretz S., Spier I., Sommer A. K., Peters S., Oliveira C., Pelaez J. G., Matos A. R., Jose C. S., Ferreira M., Gullo I., Fernandes S., Garrido L., Ferreira P., Carneiro F., Swertz M. A., Johansson L., van der Velde J. K., van der Vries G., Neerincx P. B., Roelofs-Prins D., Kohler S., Metcalfe A., Verloes A., Drunat S., Rooryck C., Trimouille A., Castello R., Morleo M., Pinelli M., Varavallo A., De la Paz M. P., Sanchez E. B., Martin E. L., Delgado B. M., de la Rosa F. J. A. G., Ciolfi A., Dallapiccola B., Pizzi S., Radio F. C., Tartaglia M., Renieri A., Benetti E., Molnar M. J., Herzog R., Pauly M., Osorio A. N., de Benito D. N., Thompson R., Polavarapu K., Beeson D., Cossins J., Cruz P. M. R., Hackman P., Johari M., Savarese M., Udd B., Capella G., Valle L., Holinski-Feder E., Laner A., Steinke-Lange V., Schrock E., Rump A., Schule, R., Timmann, D., Erasmus, C. E., Reichbauer, J., Wayand, M., Baets, J., Balicza, P., Chinnery, P., Durr, A., Haack, T., Hengel, H., Horvath, R., Houlden, H., Kamsteeg, E. -J., Kamsteeg, C., Lohmann, K., Macaya, A., Marce-Grau, A., Maver, A., Molnar, J., Munchau, A., Peterlin, B., Riess, O., Schols, L., Stevanin, G., Synofzik, M., Timmerman, V., van de Warrenburg, B., van Os, N., Vandrovcova, J., Wilke, C., Bevot, A., Zuchner, S., Beltran, S., Laurie, S., Matalonga, L., Graessner, H., Zurek, B., Ellwanger, K., Ossowski, S., Demidov, G., Sturm, M., Schulze-Hentrich, J. M., Heutink, P., Brunner, H., Scheffer, H., Hoogerbrugge, N., Hoischen, A., 't Hoen, P. A. C., Vissers, L. E. L. M., Gilissen, C., Steyaert, W., Sablauskas, K., de Voer, R. M., Janssen, E., de Boer, E., Steehouwer, M., Yaldiz, B., Kleefstra, T., Brookes, A. J., Veal, C., Gibson, S., Wadsley, M., Mehtarizadeh, M., Riaz, U., Warren, G., Dizjikan, F. Y., Shorter, T., Topf, A., Straub, V., Bettolo, C. M., Specht, S., Clayton-Smith, J., Banka, S., Alexander, E., Jackson, A., Faivre, L., Thauvin, C., Vitobello, A., Denomme-Pichon, A. -S., Duffourd, Y., Tisserant, E., Bruel, A. -L., Peyron, C., Pelissier, A., Gut, I. G., Piscia, D., Papakonstantinou, A., Bullich, G., Corvo, A., Garcia, C., Fernandez-Callejo, M., Hernandez, C., Pico, D., Paramonov, I., Lochmuller, H., Gumus, G., Bros-Facer, V., Rath, A., Hanauer, M., Olry, A., Lagorce, D., Havrylenko, S., Izem, K., Rigour, F., Davoine, C. -S., Guillot-Noel, L., Heinzmann, A., Coarelli, G., Bonne, G., Evangelista, T., Allamand, V., Nelson, I., Yaou, R. B., Metay, C., Eymard, B., Cohen, E., Atalaia, A., Stojkovic, T., Macek, M., Turnovec, M., Thomasova, D., Kremlikova, R. P., Frankova, V., Havlovicova, M., Kremlik, V., Parkinson, H., Keane, T., Spalding, D., Senf, A., Robinson, P., Danis, D., Robert, G., Costa, A., Patch, C., Hanna, M., Reilly, M., Muntoni, F., Zaharieva, I., Sarkozy, A., de Jonghe, P., Nigro, V., Banfi, S., Torella, A., Musacchia, F., Piluso, G., Ferlini, A., Selvatici, R., Rossi, R., Neri, M., Aretz, S., Spier, I., Sommer, A. K., Peters, S., Oliveira, C., Pelaez, J. G., Matos, A. R., Jose, C. S., Ferreira, M., Gullo, I., Fernandes, S., Garrido, L., Ferreira, P., Carneiro, F., Swertz, M. A., Johansson, L., van der Velde, J. K., van der Vries, G., Neerincx, P. B., Roelofs-Prins, D., Kohler, S., Metcalfe, A., Verloes, A., Drunat, S., Rooryck, C., Trimouille, A., Castello, R., Morleo, M., Pinelli, M., Varavallo, A., De la Paz, M. P., Sanchez, E. B., Martin, E. L., Delgado, B. M., de la Rosa, F. J. A. G., Ciolfi, A., Dallapiccola, B., Pizzi, S., Radio, F. C., Tartaglia, M., Renieri, A., Benetti, E., Molnar, M. J., Herzog, R., Pauly, M., Osorio, A. N., de Benito, D. N., Thompson, R., Polavarapu, K., Beeson, D., Cossins, J., Cruz, P. M. R., Hackman, P., Johari, M., Savarese, M., Udd, B., Capella, G., Valle, L., Holinski-Feder, E., Laner, A., Steinke-Lange, V., Schrock, E., and Rump, A.
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In the original publication of the article, consortium author lists were missing in the article. The details are given below
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- 2021
19. A field study on characteristics and diversity of gene expression in the liver of dairy cows during the transition period
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Graber, M., Kohler, S., Kaufmann, T., Doherr, M.G., Bruckmaier, R.M., and van Dorland, H.A.
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- 2010
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20. Chronic Infection and Reactivation in a Pulmonary Challenge Model of Histoplasmosis
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Durkin, M., Kohler, S., Schnizlein-Bick, C., LeMonte, A., Connolly, P., Goldberg, J., Garringer, T., and Wheat, L. J.
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- 2001
21. The Association Between Biomarkers and Neuropsychiatric Symptoms Across the Alzheimer's Disease Spectrum
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Banning, L.C.P., Ramakers, I.H.G.B., Kohler, S., Bron, E.E., Verhey, F.R.J., Deyn, P.P. de, Claassen, J.A.H.R., Koek, H.L., Middelkoop, H.A.M., Flier, W.M. van der, Lugt, A. van der, Aalten, P., Alzheimers Dis Neuroimaging Initia, Parelsnoer Inst Neurodegenerative, Alzheimer's Disease Neuroimaging Initiative1, Parelsnoer Institute Neurodegenerative Diseases study group, Molecular Neuroscience and Ageing Research (MOLAR), Neurology, Amsterdam Neuroscience - Neurodegeneration, APH - Personalized Medicine, APH - Methodology, Psychiatrie & Neuropsychologie, RS: MHeNs - R3 - Neuroscience, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA Med Staf Spec Psychiatrie (9), UM Student Desk - CSA, and Radiology & Nuclear Medicine
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Male ,MILD COGNITIVE IMPAIRMENT ,Alzheimer`s disease Donders Center for Medical Neuroscience [Radboudumc 1] ,neurocognitive disorders ,Alzheimer's disease dementia ,PROGRESSION ,Disease ,Anxiety ,Neuropsychological Tests ,Hippocampus ,0302 clinical medicine ,Apathy ,Longitudinal Studies ,Cognitive decline ,Depression (differential diagnoses) ,Netherlands ,Aged, 80 and over ,CEREBROSPINAL-FLUID BIOMARKERS ,Middle Aged ,Magnetic Resonance Imaging ,Irritable Mood ,Neuropsychiatric symptoms ,PREVALENCE ,Psychiatry and Mental health ,DEPRESSIVE SYMPTOMS ,Disease Progression ,EARLY-STAGE ,Female ,medicine.symptom ,MRI ,medicine.medical_specialty ,CSF BIOMARKERS ,tau Proteins ,Irritability ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,Neuroimaging ,Alzheimer Disease ,Internal medicine ,medicine ,Dementia ,Humans ,Cognitive Dysfunction ,Aged ,MODERATORS ,Amyloid beta-Peptides ,030214 geriatrics ,business.industry ,medicine.disease ,Logistic Models ,MEDIATORS ,Human medicine ,Geriatrics and Gerontology ,business ,Biomarkers - Abstract
Objective: To investigate the relationship between Alzheimer's disease biomarkers and neuropsychiatric symptoms. Methods: Data from two large cohort studies, the Dutch Parelsnoer Institute – Neurodegenerative Diseases and the Alzheimer's Disease Neuroimaging Initiative was used, including subjects with subjective cognitive decline (N = 650), mild cognitive impairment (N = 887), and Alzheimer's disease dementia (N = 626). Cerebrospinal fluid (CSF) levels of Aβ42, t-tau, p-tau, and hippocampal volume were associated with neuropsychiatric symptoms (measured with the Neuropsychiatric Inventory) using multiple logistic regression analyses. The effect of the Mini-Mental State Examination (as proxy for cognitive functioning) on these relationships was assessed with mediation analyses. Results: Alzheimer's disease biomarkers were not associated with depression, agitation, irritability, and sleep disturbances. Lower levels of CSF Aβ42, higher levels of t- and p-tau were associated with presence of anxiety. Lower levels of CSF Aβ42 and smaller hippocampal volumes were associated with presence of apathy. All associations were mediated by cognitive functioning. Conclusion: The association between Alzheimer's disease pathology and anxiety and apathy is partly due to impairment in cognitive functioning.
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- 2020
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22. A8.28 Depletion of autoantibody-secreting plasma cells based on the specificity of the secreted antibody
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Taddeo, A, Hoyer, BF, Gerl, V, Chang, HD, Pelz, A, Kohler, S, Radbruch, A, and Hiepe, F
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- 2015
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23. Electron transport across a quantum wire in the presence of electron leakage to a substrate
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Kwapiński, T., Kohler, S., and Hänggi, P.
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- 2010
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24. Impact and use in daily practice of automatic diagnostic interpretation algorithms: results from the AIDA+ Registry
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Reif, S., Schade, S., Taggeselle, J., Frey, A., Birkenhagen, A., Kohler, S., and Schmidt, M.
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- 2011
25. Specific use of automatic diagnostic interpretation algorithms for pacemakers re programming: results from theAIDA+ Registry
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Reif, S., Schade, S., Taggeselle, J., Frey, A., Birkenhagen, A., Kohler, S., and Schmidt, M.
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- 2011
26. Glucocorticoids in myasthenia gravis – if, when, how, and how much?
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Hoffmann, S., Kohler, S., Ziegler, A., and Meisel, A.
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- 2014
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27. Comparison of hepatic adaptation in extreme metabolic phenotypes observed in early lactation dairy cows on-farm
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van Dorland, H. A., Graber, M., Kohler, S., Steiner, A., and Bruckmaier, R. M.
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- 2014
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28. Creation and manipulation of entanglement in spin chains far from equilibrium
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Galve, F., Zueco, D., Reuther, G.M., Kohler, S., and Hänggi, P.
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- 2009
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29. CD4+ T-cell produced IL17 is essential for loss of B-cell tolerance in experimental autoimmune myasthenia gravis (EAMG): OS1215
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Schaffert, H., Meisel, A., Thiel, A., and Kohler, S.
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- 2014
30. Fast initial qubit dephasing and the influence of substrate dimensions on error correction rates
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Doll, R., Hänggi, P., Kohler, S., and Wubs, M.
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- 2009
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31. Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis
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Levis B, Sun Y, He C, Wu Y, Krishnan A, Bhandari PM, Neupane D, Imran M, Brehaut E, Negeri Z, Fischer FH, Benedetti A, Thombs BD, Depression Screening Data (DEPRESSD) PHQ Collaboration, Che L, Levis A, Riehm K, Saadat N, Azar M, Rice D, Boruff J, Kloda L, Cuijpers P, Gilbody S, Ioannidis J, McMillan D, Patten S, Shrier I, Ziegelstein R, Moore A, Akena D, Amtmann D, Arroll B, Ayalon L, Baradaran H, Beraldi A, Bernstein C, Bhana A, Bombardier C, Buji RI, Butterworth P, Carter G, Chagas M, Chan J, Chan LF, Chibanda D, Cholera R, Clover K, Conway A, Conwell Y, Daray F, de Man-van Ginkel J, Delgadillo J, Diez-Quevedo C, Fann J, Field S, Fisher J, Fung D, Garman E, Gelaye B, Gholizadeh L, Gibson L, Goodyear-Smith F, Green E, Greeno C, Hall B, Hampel P, Hantsoo L, Haroz E, Harter M, Hegerl U, Hides L, Hobfoll S, Honikman S, Hudson M, Hyphantis T, Inagaki M, Ismail K, Jeon HJ, Jetté N, Khamseh M, Kiely K, Kohler S, Kohrt B, Kwan Y, Lamers F, Asunción Lara M, Levin-Aspenson H, Lino V, Liu S-I, Lotrakul M, Loureiro S, Löwe B, Luitel N, Lund C, Marrie RA, Marsh L, Marx B, McGuire A, Mohd Sidik S, Munhoz T, Muramatsu K, Nakku J, Navarrete L, Osório F, Patel V, Pence B, Persoons P, Petersen I, Picardi A, Pugh S, Quinn T, Rancans E, Rathod S, Reuter K, Roch S, Rooney A, Rowe H, Santos I, Schram M, Shaaban J, Shinn E, Sidebottom A, Simning A, Spangenberg L, Stafford L, Sung S, Suzuki K, Swartz R, Tan PLL, Taylor-Rowan M, Tran T, Turner A, van der Feltz-Cornelis C, van Heyningen T, van Weert H, Wagner L, Li Wang J, White J, Winkley K, Wynter K, Yamada M, Zhi Zeng Q, and Zhang Y
- Subjects
Adult ,Male ,Depressive Disorder, Major ,Patient Health Questionnaire ,behavioral disciplines and activities ,Sensitivity and Specificity ,humanities ,Interviews as Topic ,ROC Curve ,General & Internal Medicine ,mental disorders ,Humans ,Mass Screening ,Female ,11 Medical and Health Sciences - Abstract
Importance:The Patient Health Questionnaire depression module (PHQ-9) is a 9-item self-administered instrument used for detecting depression and assessing severity of depression. The Patient Health Questionnaire-2 (PHQ-2) consists of the first 2 items of the PHQ-9 (which assess the frequency of depressed mood and anhedonia) and can be used as a first step to identify patients for evaluation with the full PHQ-9. Objective:To estimate PHQ-2 accuracy alone and combined with the PHQ-9 for detecting major depression. Data Sources:MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-May 2018). Study Selection:Eligible data sets compared PHQ-2 scores with major depression diagnoses from a validated diagnostic interview. Data Extraction and Synthesis:Individual participant data were synthesized with bivariate random-effects meta-analysis to estimate pooled sensitivity and specificity of the PHQ-2 alone among studies using semistructured, fully structured, or Mini International Neuropsychiatric Interview (MINI) diagnostic interviews separately and in combination with the PHQ-9 vs the PHQ-9 alone for studies that used semistructured interviews. The PHQ-2 score ranges from 0 to 6, and the PHQ-9 score ranges from 0 to 27. Results:Individual participant data were obtained from 100 of 136 eligible studies (44 318 participants; 4572 with major depression [10%]; mean [SD] age, 49 [17] years; 59% female). Among studies that used semistructured interviews, PHQ-2 sensitivity and specificity (95% CI) were 0.91 (0.88-0.94) and 0.67 (0.64-0.71) for cutoff scores of 2 or greater and 0.72 (0.67-0.77) and 0.85 (0.83-0.87) for cutoff scores of 3 or greater. Sensitivity was significantly greater for semistructured vs fully structured interviews. Specificity was not significantly different across the types of interviews. The area under the receiver operating characteristic curve was 0.88 (0.86-0.89) for semistructured interviews, 0.82 (0.81-0.84) for fully structured interviews, and 0.87 (0.85-0.88) for the MINI. There were no significant subgroup differences. For semistructured interviews, sensitivity for PHQ-2 scores of 2 or greater followed by PHQ-9 scores of 10 or greater (0.82 [0.76-0.86]) was not significantly different than PHQ-9 scores of 10 or greater alone (0.86 [0.80-0.90]); specificity for the combination was significantly but minimally higher (0.87 [0.84-0.89] vs 0.85 [0.82-0.87]). The area under the curve was 0.90 (0.89-0.91). The combination was estimated to reduce the number of participants needing to complete the full PHQ-9 by 57% (56%-58%). Conclusions and Relevance:In an individual participant data meta-analysis of studies that compared PHQ scores with major depression diagnoses, the combination of PHQ-2 (with cutoff ≥2) followed by PHQ-9 (with cutoff ≥10) had similar sensitivity but higher specificity compared with PHQ-9 cutoff scores of 10 or greater alone. Further research is needed to understand the clinical and research value of this combined approach to screening.
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- 2020
32. Coulomb repulsion effects in driven electron transport
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Kaiser, F. J., Hänggi, P., and Kohler, S.
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- 2006
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33. mTOR Inhibition in Liver Transplantation: Do We Know How To Dose for Effective/Safe CNI Reduction?: Abstract# 714: Poster Board #-Session: P182-I
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Junge, G., Dumortier, T., Schwende, H., Kohler, S., and Fung, J.
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- 2012
34. Identification of plasma and hepatic parameters related to metabolic robustness in dairy cows
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Graber, M., Kohler, S., Müller, A., Burgermeister, K., Kaufmann, T., Bruckmaier, R. M., and van Dorland, H. A.
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- 2012
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35. Does body size of dairy cows, at constant ratio of maintenance to production requirements, affect productivity in a pasture-based production system?
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Hofstetter, P., Steiger Burgos, M., Petermann, R., Münger, A., Blum, J. W., Thomet, P., Menzi, H., Kohler, S., and Kunz, P.
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- 2011
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36. Lessons from a transplant patient with diarrhea, cryptosporidial infection, and possible mycophenolate mofetil-associated colitis
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Frei, P., Weber, A., Geier, A., Mertens, J. C., Kohler, S., Rogler, G., and Müllhaupt, B.
- Published
- 2011
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37. Cost-Of-Illness Survey Of Patients With Food Hypersensitivity In Germany: 435
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König, V., Rösch, N., Mösges, R., Schmalz, P., Kohler, S., Arens-Volland, A., Herbst, R., and Schnadt, S.
- Published
- 2011
38. Imaging considerations for in vivo 13C metabolic mapping using hyperpolarized 13C-pyruvate
- Author
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Yen, Y F., Kohler, S. J., Chen, A. P., Tropp, J., Bok, R., Wolber, J., Albers, M. J., Gram, K. A., Zierhut, M. L., Park, I., Zhang, V., Hu, S., Nelson, S. J., Vigneron, D. B., Kurhanewicz, J., Dirven, H. A.A.M, and Hurd, R. E.
- Published
- 2009
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39. Probability of major depression classification based on the SCID, CIDI, and MINI diagnostic interviews: A synthesis of three individual participant data meta-analyses
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Wu, Y. Levis, B. Ioannidis, J.P.A. Benedetti, A. Thombs, B.D. Sun, Y. He, C. Krishnan, A. Bhandari, P.M. Neupane, D. Negeri, Z. Imran, M. Rice, D.B. Riehm, K.E. Saadat, N. Azar, M. Levis, A.W. Sanchez, T.A. Chiovitti, M.J. Yan, X.W. Boruff, J. Kloda, L.A. Cuijpers, P. Gilbody, S. McMillan, D. Patten, S.B. Shrier, I. Ziegelstein, R.C. Comeau, L. Mitchell, N.D. Tonelli, M. Vigod, S.N. Henry, M. Ismail, Z. Loiselle, C.G. Akena, D.H. Al-Adawi, S. Alamri, S.H. Alvarado, R. Alvarado-Esquivel, C. Amtmann, D. Arroll, B. Ayalon, L. Bakare, M.O. Baradaran, H.R. Barnes, J. Bavle, A.D. Beck, C.T. Beraldi, A. Bernstein, C.N. Bhana, A. Bindt, C. Bombardier, C.H. Boyce, P.M. Büel-Drabe, N. Buji, R.I. Bunevicius, A. Butnoriene, J. Bunevicius, R. Butterworth, P. Carter, G. Chagas, M.H. Chan, J.C.N. Chan, L.F. Chaudron, L.H. Chen, C.-K. Cholera, R. Clover, K. Conroy, R.M. Conway, A. Conwell, Y. Correa, H. Castro E Couto, T. Cukor, D. Dabscheck, E. Daray, F.M. De Figueiredo, F.P. De Man-Van Ginkel, J.M. Diez-Quevedo, C. Douven, E. Downing, M.G. Eapen, V. Fann, J.R. Feinstein, A. Ferentinos, P.P. Fernandes, M. Field, S. Figueiredo, B. Fischer, F.H. Fisher, J.R.W. Flint, A.J. Fujimori, M. Fung, D.S.S. Gallagher, P. Gandy, M. Garcia-Esteve, L. Garman, E.C. Gelaye, B. Gholizadeh, L. Giardinelli, L. Gibson, L.J. Goodyear-Smith, F. Grassi, L. Green, E.P. Greeno, C.G. Hall, B.J. Hantsoo, L. Haroz, E.E. Harter, M. Hegerl, U. Helle, N. Hides, L. Hobfoll, S.E. Honikman, S. Howard, L.M. Hudson, M. Hyphantis, T. Inagaki, M. Jenewein, J. Jeon, H.J. Jette, N. Keller, M. Khalifa, D.S. Khamseh, M.E. Kiely, K.M. Kim, S.-W. Kjargaard, M. Kohler, S. Kohlhoff, J. Kohrt, B.A. Kozinszky, Z. Kusminskas, L. Kwan, Y. Lamers, F. Lara, M.A. Lelli, L. Leonardou, A.A. Levin-Aspenson, H.F. Lotrakul, M. Loureiro, S.R. Lowe, B. Luitel, N.P. Lund, C. Maes, M. Marrie, R.A. Marsh, L. Martin-Santos, R. Marx, B.P. Massardo, L. Matsuoka, Y. Mehner, A. Meuti, V. Michopoulos, I. Misery, L. Sidik, S.M. Munhoz, T.N. Muramatsu, K. Radoš, S.N. Nakku, J.E.M. Navarrete, L. Garcia, P.N. Navines, R. Nishi, D. O'Donnell, M.L. Luwa E-Andjafono, D.O. Osório, F.L. Öztürk, A. Peceliuniene, J. Pence, B.W. Persoons, P. Picardi, A. Pintor, L. Ponsford, J.L. Pugh, S.L. Quinn, T.J. Rancans, E. Rathod, S.D. Reme, S.E. Reuter, K. Robertson-Blackmore, E. Rochat, T.J. Rooney, A.G. Rowe, H.J. Sánchez-González, R. Santos, I.S. Schram, M.T. Schwarzbold, M.L. Cankorur, V.S. Shaaban, J. Sharpe, L. Shinn, E.H. Sidebottom, A. Simard, S. Simning, A. Singer, S. Siu, B.W.M. Skalkidou, A. Spangenberg, L. Stafford, L. Stein, A. Stewart, R.C. Stone, J. Su, K.-P. Sultan, S. Sundström-Poromaa, I. Sung, S.C. Suzuki, K. Tadinac, M. Tan, P.L.L. Tandon, S.D. Taylor-Rowan, M. Teixeira, A.L. Tendais, I. Thiagayson, P. Tiringer, I. Töreki, A. Torres-Giménez, A. Tran, T.D. Trevillion, K. Tung, K.-Y. Turner, A. Turner, K. Van Der Feltz-Cornelis, C.M. Van Heyningen, T. Van Weert, H.C. Vega-Dienstmaier, J.M. Vöhringer, P.A. Wagner, L.I. Walterfang, M. Wang, J.L. Wang, W. Wang, L.-J. White, J. Wong, D.K. Wynter, K. Yamada, M. Yonkers, K.A. Zeng, Q.Z. Zhang, Y. DEPRESsion Screening Data (DEPRESSD) Collaboration
- Abstract
Introduction: Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results. Objective: To compare the odds of the major depression classification based on the SCID, CIDI, and MINI. Methods: We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis. Results: In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80). Conclusions: Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics. © 2020
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- 2020
40. Effects of hydroperiod and predation on a Mississippi River floodplain invertebrate community
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Corti, D., Kohler, S. L., and Sparks, Richard E.
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- 1996
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41. In vivo 13carbon metabolic imaging at 3T with hyperpolarized 13C-1-pyruvate
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Kohler, S. J., Yen, Y., Wolber, J., Chen, A. P., Albers, M. J., Bok, R., Zhang, V., Tropp, J., Nelson, S., Vigneron, D. B., Kurhanewicz, J., and Hurd, R. E.
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- 2007
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42. Current therapeutic management of diabetic nephropathy
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Kohler, S. M. and Krämer, B. K.
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- 1994
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43. Role of endothelin in hypertension
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Krämer, B. K., Ackermann, M., Kohler, S. M., and Riegger, G. A. J.
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- 1994
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44. Relationship between structure and point of zero surface charge for molybdenum and tungsten oxides supported on alumina
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Kohler, S. D., Ekerdt, J. G., Kim, D. S., and Wachs, I. E.
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- 1992
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45. Universal patterns in multifrequency-driven dissipative systems.
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Olivera-Atencio, M. L., Lamata, L., Kohler, S., and Casado-Pascual, J.
- Abstract
The response of dissipative systems to multi-chromatic fields exhibits generic properties which follow from the discrete time-translation symmetry of each driving component. We derive these properties and illustrate them with paradigmatic examples of classical and quantum dissipative systems. In addition, some computational aspects, in particular a matrix continued-fraction method, are discussed. Moreover, we propose possible implementations with quantum optical settings. [ABSTRACT FROM AUTHOR]
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- 2022
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46. Role of silanol groups in dispersing Mo(VI) on silica
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Roark, R. D., Kohler, S. D., and Ekerdt, J. G.
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- 1992
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47. Oxaliplatin (with 5FU and leucovorin) in patients above age 70 (“elderly”) suffering from metastatic colorectal cancer: An observational study: 8042
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Exquis, B., Aapro, M., and Kohler, S.
- Published
- 2004
48. Development of a Platform for Automated NAT Testing in Blood Centers
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Franken, N, Friedrichs, J, Kohler, S, Russmann, E, Weindel, K, Alessandri, B, Gallarda, J, and Kraiss, S
- Published
- 2003
49. Where do we stand with hepatoblastoma?
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Schnater, J. Marco, Kohler, S. Eleonore, Lamers, Wouter H., Schweinitz, Dietrich von, and Aronson, Daniel C.
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Liver cancer -- Risk factors ,Liver cancer -- Care and treatment ,Phenotype -- Analysis ,Tumors in children -- Risk factors ,Tumors in children -- Care and treatment ,Health - Published
- 2003
50. Histologic mimickers of thick melanoma
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Sakkinen, P and Kohler, S
- Published
- 2003
- Full Text
- View/download PDF
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