On generalized integral inequalities with applications in bio-mathematics and physical sciences
Bibliographic record
Abstract
In this thesis, applications of generalized integral inequalities especially on biomathematics and physics are studied. Application on Biomathematics is about the predatorprey dynamic systems with Beddington DeAngelis type functional response and application on physics is about water percolation equation. This thesis consists 6 chapters. Chapter 1 is introductory and contains the thesis structure. Chapter 2 is about under which conditions the two dimensional predator-prey dynamic system with Beddington DeAngelis type functional response is permenent and globally attractive. Chapter 3 is about the same type dynamic system but with impulses. In that chapter under which conditions the dynamic system has at least one periodic solution is investigated. To get the result we use Continuation Theorem. Using impulse on this type of dynamic system is also important. Because we can model the real life much better by this way. In Chapter 4, the predator-prey dynamic system with Beddington DeAngelis type functional response on periodic time scales in shifts is studied. In this chapter, first we prove which kind of periodic time scales in shifts should be used to find there is at least one δ±-periodic solution for the given system. Then again by using Continuation Theorem we get the desired result. In Chapter 5, first we generalize the Constantin’s Inequality on Nabla and Diamond-α calculus on time scales. Then by using a topological transversality theorem and using the generalization of Constantin’s Inequality on Nabla Calculus, we have showed that the vwater percolation equation on nabla time scales calculus has solution. This solution is unique and bounded. The last chapter is the summary of what we have done in this thesis. As a result, since this study is on time scales, the findings are also important on the discrete and continuous case.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".