This research is based on the problem of outbreak coronaviruswhich has become a global pandemic and national disaster. The purpose ofthis study was to describe perceptions lecturers students onlinelearning problems during COVID-19 pandemic. data collectedwith help questionnaires. quantitative descriptive wasconducted among lectures who selectedd randomly. Dataanalysis used Likert scale results ...

Teleological modeling is fundamental to understanding and explaining many complex systems, especially engineered systems. Research on engineering design and problem solving has developed several ontologies for expressing teleology, e.g., FR, FBS, and SBF. In this paper, we view SBF as a programming language. SBF models of engineering systems have been used in several computer programs for autom...

The proventriculus morphology of the cricket G/y//us assimilis Fabricius, 1775 is described using scanning electron microscopy and the con'elation ofthis structure with the feeding habits briefly considered.

in this research, the methodology of which is descriptive-inferential, our problem is the role of the unity of divine acts in mulla sadra’s transcendent philosophy and the evaluation of his arguments on it. in this regard, after explaining the concept of “unity of divine acts”, we show that since the boundaries of sadra’s philosophical system approaches speculative mysticism, sadra’s system in ...

Many of the control policies that were put into place during Covid-19 pandemic had a common goal: to flatten curve number infected people so its peak remains under critical threshold. This letter considers challenge engineering strategy enforces such goal using theory. We introduce simple formulation optimal flattening problem, and provide closed form solution.This is augmented through nonlinea...

Neural networks are among the most accurate supervised learning methods in use today, but their opacity makes them difficult to trust in critical applications, especially when conditions in training differ from those in test. Recent work on explanations for black-box models has produced tools (e.g. LIME) to show the implicit rules behind predictions, which can help us identify when models are r...

The growth, development and function of plant roots in relation to plant productivity has been very difficult to evaluate, especially in natural field situations. Weaver (1926) and co-workers stated over 50 years ago that "An exact knowledge of the root development of crop plants, of their position, extent and activity as absorbers of water and solutes at various stages of growth is of paramoun...