Sharif Digital Repository

Distributed learning has been a popular area of machine learning for researchers according to having access to an unprecedented amount of data distributed over many clients in a network. Moreover, high dimensional learning, when the dimensions of data are high but the effective features are low, has great usage in learning especially in medical science. In this paper, we attempted to develop a method for learning high-dimensional sparse problems in a distributed manner, whit a star shape network. Our main focus in this research is on optimizing the communication flow in the network. The prominent idea of our proposed method is to extract the main feature in the first step, then continuing... 

To design a drug delivery system, the drug must be encapsulated within a carrier matrix. One of the main challenges in this field is encapsulating high drug doses while achieving a linear release profile at the target site to maintain drug concentration for optimal therapeutic effects. Consequently, many research groups have focused on refining fabrication techniques to maximize loading efficiency and optimize drug release profiles from delivery systems. A potential approach to addressing this issue is the direct fabrication of a controlled-release system from the active pharmaceutical ingredient (API) itself, eliminating the need for a carrier matrix. Studies have demonstrated that such... 

Osteoarthritis is a common musculoskeletal disorder and the most prevalent form of arthritis. To date, no comprehensive cure has been reported for osteoarthritis, and its clinical management remains challenging. The primary therapeutic goals in the early stages of osteoarthritis are to increase joint mobility and control disease progression by continuously releasing drugs and molecules modulating inflammatory responses and reducing pain. Smart drug delivery platforms are one of the strategies to overcome the challenges of injectable and oral medications. Additionally, drug carrier particles can have different therapeutic targets based on their size and shape. Different therapeutic... 

Since oil prices continue to increase, energy conservation remains the prime industrial concern. Existing processes in power plants and oil refineries are not energy efficient as they should be therefore new projects can be defined to increase the energy efficiency without incurring any cost. The most appropriate utility for the processes should be explored to reduce emissions, increase the plant capacities and improve product qualities and energy efficiencies by one coherent strategic plan for the overall site which can be achieved by a full understanding of pinch technology and awareness of the available tools for applying it in practical way. Since the distillation unit of crude oil... 

Graphene quantum dots (GQDs) as a sort of carbon-based nanomaterials are applied in a multitude of exciting areas. They are effective fluorescent probe for many potential biological and medical applications. In comparison to conventional organic fluorescent probes (organic dyes), GQDs have substantial advantages, such as photostability, excellent solubility, low cytotoxicity and biocompatibility.
In this thesis, green fluorescent GQDs have been prepared via solvothermal method from graphite powder.Various analysis methods were utilized to characterization of the product. So, several experiments on GQDs in solution and in solid substrate at room temperature have been performed. The...