Bibliographic record
Abstract
This April, SSE Council Member Larisa Emilia Cheran transitioned to a world still unbeknownst to us. Dr. Cheran left strong and lasting scientific contributions to the world of bioelectrochemistry upon which much remains to be built after her passing. Larisa’s professional endeavors began by obtaining her doctorate in Microelectronics at the University of Bucharest, and meeting The Romanian Academy’s most respected teachers in her fields of study. She immediately flourished as a prominent Romanian scientist as Chief of The Biomedical Applications Laboratory, at the Institute of Microtechnology in Bucharest, Romania. Upon the invitation by Physics Nobel Laureate Ivar Giaever, who was credited for the discovery of tunneling phenomena in superconductors, Dr. Cheran came to the USA and continued her work on electrical properties of cells and tissues. From there, she was invited to the University of Toronto, and made it her home for the next two decades. While working there, she was credited with the invention of the Scanning Kelvin nano-probe, the first of its kind to detect non-invasively, and with high resolution, single base changes in DNA. As a senior research scientist at the University of Toronto, Department of Bio-sensors and Bio-analytical Chemistry, Larisa promoted her Scanning Kelvin Nano-probe instrument for pioneering applications in the label-free detection of DNA, proteins, and living cells, particularly neurons. Her interest was focused on developing biosensors and new detection methods for neuroscience research, and on using vibrational fields and quantum physics in nano-neuromedicine and regenerative medicine, biomolecular electronic interfaces, bio-photonics, and organic semiconductor materials. Larisa passionately and unrelentingly probed all aspects of the bioelectrochemistry of living cells. Her passing leaves a void in the quest for fundamental understanding in critical areas of consciousness research. She had the innate ability to amalgamate disparate concepts and was well-acquainted with the techniques and personnel in the fields of consciousness and parapsychology research. She applied her technological expertise to many of the difficult and complex questions of mind–matter interactions and their direct applications to the fields of neuroscience. Before passing, Dr. Cheran was performing research on the alteration of acoustic properties of mouse neurons as influenced by a healer’s directed attention. The effect was so strong that it merits replication. Unfortunately, this experimental program was interrupted by her untimely death just prior to carrying out initial control tests. If anyone has information and interest in continuing Larisa’s experiments, please contact George Hathaway, a collaborator in this effort. He can be contacted at Hathaway Consulting Services, Toronto, at ghathaway@ieee.org
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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.043 | 0.046 |
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".