Probing photosynthesis : mechanisms, regulation, and adaptation
Bibliographic record
Abstract
1. Milestones in Photosynthesis Govindjee 2. Natural oxygenic and anoxygenic photosynthesis based on newly found chlorophylls Shigeru Itoh and Masayo Iwaki 3. Light-harvesting antennas in plants Stephen M. Gomez and Parag R. Chitnis 4. Stalk, no stalk or double stalk? Experimental strategies, results and speculations on CF1CF0 interactions with photosynthetic ATP synthase R. J. Berzborn 5. Energy transduction on the Z-scheme Gunter Hauska and Matthias Arnold 6. Chloroplast thylakoid membranes: a paradigm for biogenetic and evolutionary complexity Reinhold G. Herrmann and Rainer M. Maier 7. The manganese cluster in photosystem II, investigated by EPR spectroscopy K.A. Ahrling and S. Styring 8. Diversity in photosynthesis D.O. Hall 9. C3/C4 Carbon metabolism and regulation in higher plants Randhir Singh 10. Ribulose 1, 5-bisphosphate-carboxylase/oxygenase: activation and regulation A.S. Bhagwat 11. Molecular aspects of Rubisco specificity G.F. Wildner 12. CAM photosynthesis: ecophysiological and molecular strategies for survival A. Ramachandra Reddy and V.S. Rama Das 13. Photorespiration and interaction between chloroplast, mitochondria and peroxisomes K. Padmasree and A.S. Raghavendra 14. Photosynthesis in relation to crop productivity Renu Khanna-Chopra 15. Strategies of photosynthetic adaptations and acclimation Jan M. Anderson 16. Photoinactivation of the two photosystems in oxygenic photosynthesis-mechanisms and regulations I. Ohad, K. Sonoike, and B. Andersson 17. State transitions in cyanobacteria P. Dominy and C. Mullineaux 18. Light-regulated expression of photosynthesis related genes A.K. Tyagi, A. Dhingra and S. Raghuvanshi 19. Photosynthetic productivity prospects under CO2-enriched atmosphere of the 21st century A.R. Reddy and A. Gnanam 20. Molecular targets of UV-B radiation in the photosynthetic membranes G. Kulandaivelu and K. Lingakumar 21. Photosynthetic adaptation to nutrient stress I.M. Rao and N. Terry 22. Water stress responsive proteins/genes in crop plants Anil Grover 23. Applications of mass spectrometry to the study of photosystem two J. Barber and J. Sharma 24. The structure and function of photosynthetic apparatus studied by fourier transform infrared spectroscopy H. Zhang, H.A. Tajmir-Riahi and R. Carpentier 25. The fluorescence transient as a tool to characterise and screen photosynthetic samples R. J. Strasser, A. Srivastava and A. Tsimilli-Michael 26. The photoacoustic effect in leaves and its applications S. Malkin 27. Common errors in gas exchange measurements D.K. McDermitt, R.L. Garcia, J.M. Welles and T.H. Demetriades-Shah Anderson, Australian National University, Bertil Andersson, Stockholm University, Sweden, M. Arnold, Institut fur Botanik der Universitat Regensburg, Germany, James Barber, Imperial College of Science, London, UK, Richard J. Berzborn, Ruhr-Universitaet Bochum, Germany, A.S. Bhagwat, Bhabha Atomic Research Centre, Mumbai, India, R. Carpentier, Universite du Quebec a Trois-Rivieres, Canada, Parag R. Chitnis, Iowa State University, USA, Tanvir Demetriades-Shah, LI-COR Inc. Lincoln, USA, Peter Dominy, University of Glasgow, UK, A. Dhingra, University of Delhi South Campus, India, , Richard L.Garcia, LI-COR, Inc., Lincoln, USA, A. Gnanam, Pondicherry University, India, S. M. Gomez, UCLA, USA, Govindjee, University of Illinois, USA, Anil Grover, University of Delhi, India, David O. Hall, King's College London, UK, Guenter Hauska, Universitat Regensburg, Germany, R. G. Herrmann, Botanisches Institut der Ludwig-Maximilians-Universitat Munchen, Germany, Shigeru Itoh, National Institute for Basic Biology, Okazaki, Japan, Masayo, Iwaki, National Institute for Basic Biology, Okazaki, Japan, Renu, Khanna-Chopra, Indian Agricultural Research Institute, New Delhi, India, G. Kulandaivelu, Madurai Kamaraj University, India, K. Lingakumar, Madurai Kamaraj University, India, Stephen P. Long, University of Illinois, USA, R. M. Maier, Botanisches Institut der Ludwig-Maximilians-Universitat Munchen, Germany, Shmuel Malkin, The Weizmann Institute of Science, Rehovot, Israel, Dayle K. McDermitt, LI-COR Inc., Lincoln, USA, H. R. Morris, Imperial College of Science, London, UK, C. Mullineaux, University College London, UK, Itzhak Ohad, The Hebrew University, Jerusalem, Israel, K. Padmasree, University of Hyderabad, India, M. Panico, Imperial College of Science, London, UK, A.S. Raghavendra, University of Hyderabad, Hyderabad, India S. Raghuvanshi, University of Delhi, India V.S. Ramadas, University of Hyderabad, India, Idupulapati M. Rao, International Center for Tropical Agriculture, Cali, Colombia, A.R. Reddy, Pondicherry University, India, J. Sharma, Imperial College of Science, London, UK, R. Singh, CCS Haryana Agriculture University, Haryana, India, S.K. Sinha, Indian Agricultural Research Institute, New Delhi, India Kintake Sonoike, University of Tokyo Bunkyo-ku, Japan, Alaka Srivastava, University of Geneva, Switzerland, Reto J. Strasser, University of Geneva, Switzerland, Stenbjorn Styring, Lund University, Sweden, Heidar Ali Tajmir-Riahi, Universite du Quebec a Trois-Rivieres, Canada Norman Terry, University of California, USA, A. Tsimilli-Michael, University of Geneva, Geneva, Switzerland, A. K. Tyagi, University of Delhi South Campus, New Delhi, India, Jon M. Welles, LI-COR Inc, Lincoln, USA, Gunter Wildner, Ruhr-Universitat Bochum, Germany, H. Zhang, Universite du Quebec a Trois-Rivieres, Quebec, Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".