Bibliographic record
Abstract
This study systematically analyzed the comparative physiology of mosquito reproductive systems, revealing their impact on reproductive success and disease transmission potential. Analyzing the structure and function of male and female reproductive organs, elucidating the key roles of larval hormone (JH) and 20 hydroxyecdysteroid (20E) in gamete and yolk formation, and demonstrating the ecological adaptability and vector potential diversity brought about by differences in reproductive structures among different mosquito genera. Taking Aedes aegypti as an example, this study explores the delayed egg laying mechanism under drought conditions and the transcriptome changes induced by mating, emphasizing the regulatory role of mating behavior on female reproductive physiology. At the same time, it is pointed out that environmental factors such as temperature, humidity, and nutrition have a significant impact on the reproductive cycle. Although emerging molecular tools such as CRISPR/Cas9 and RNA interference (RNAi) have made progress in studying the functions of reproductive related genes, further understanding of the functions of seminal proteins and long non coding RNAs (lncRNAs) is still needed. The research results provide theoretical support for the development of vector control strategies targeting mosquito reproductive processes, and suggest combining molecular, physiological, and ecological research to optimize the prevention and control of mosquito borne diseases.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".