2019 Academic Annual Meeting and the Frontier Seminar on “Glial Cell Function and Disease” (Nantong, China)
Bibliographic record
Abstract
The contribution of glial activities to the functions, diseases, and repair of the central nervous system has received increasing attention in neuroscience studies. To promote the research of glial cells and increase cooperation with peers, the 2019 Academic Annual Meeting and the Frontier Seminar on “Glial Cell Function and Disease” was held in Nantong City, Jiangsu Province, China from May 24 to 26. The meeting was organized by Drs. Yong-Jing Gao and Jia-Wei Zhou of the Chinese Society of Neuroscience Glia Branch. The conference focused on the physiological and pathological functions of astrocytes, microglia, and oligodendrocytes with 25 speakers in two plenary speeches and five sections of more than 180 participants engaged in glial cell research. In the two plenary lectures, Yutian Wang from the University of British Columbia and Xia Zhang from the University of Ottawa presented “Development of NMDAR (N-methyl-D-aspartic acid receptor)-positive allosteric modulators as novel therapeutics for brain disorders” and “Mechanisms underlying cannabinoid regulation of brain function and disease,” respectively. The five sections included microglia and disease, astrocytes and disease, glioma treatment and glial imaging, oligodendrocytes and disease, and glial–neuronal interactions and disease. This meeting allowed extensive and in-depth academic exchanges on the latest research and experimental techniques, represented the highest achievements of Chinese scholars on glial cells, and promoted the cooperation between peers in the fields of glia studies.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".