Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,043 | 0,046 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».