Bibliographic record
Abstract
2024 3rd International Conference on Advances in Modern Physics Sciences and Engineering Technology (PSET 2024) was held in Wuhan, China during June 29-30, 2024. The PSET 2024 is organized by National Institute of High Mathematics (INdAM), Italy; Complex Engineering Systems (OA Journal Editorial Office) and technically supported by Nanyang Technological University, Singapore; University of Victoria, Canada; Politecnico di Milano, Italy and Rongzhi Sciences and Technology Center, China. The conference program included keynote, oral, and poster presentations from scientists working in similar areas, aiming to establish platforms for collaborative research projects and to explore potential opportunities for international cooperation in the fields of Modern Physics Sciences and Engineering Technology. This year, we received an overwhelming response from the scientific community, with a total of 57 paper submissions. Each submission underwent a rigorous peer-review process, ensuring that only the highest quality research was selected. After careful consideration and evaluation by our esteemed review panel, 21 papers were accepted for presentation at the conference. The selected papers represent a diverse range of topics, reflecting the multidisciplinary nature of modern physics and engineering technology. From quantum state implementation based on topological insulators to cutting-edge advancements in engineering applications, the research presented here pushes the boundaries of current knowledge and opens new avenues for future exploration. We hope that the proceedings of PSET 2024 will inspire and stimulate further research and collaboration among scientists, engineers, and researchers worldwide. We want to thank all the authors who have contributed to this volume, as well as the Publication Editor, Organizing Committee, Scientific Committee, Keynote Speakers, Sponsors, and all the conference participants for their support of PSET 2024. We sincerely hope to see you again next year at PSET. Publication Editor Dr. Beddiaf ZAIDI University of Batna 1, Algeria List of Committee Members are available in this Pdf.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.529 | 0.409 |
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".