Sharif Digital Repository

Prostate cancer is the second most common cancer in men and the fourth leading cause of death in the world. In this study, the 188Re-HYNIC-PSMA radiolabeled compound was produced as a compound for use in the treatment of prostate cancer and its metastases under optimal labeling conditions and its radiochemical purity was obtained above 98% using RTLC and HPLC chromatographic methods. This compound is stable at room temperature and in human blood serum for at least 48 hours after preparation. The biological distribution of this compound was investigated in each rat tissue and the amount of injected activity per unit mass of each tissue (%ID/g) was determined. The bio-distribution of 188... 

Social learning approach in economic policymaking is introduced against conflict-based approach in the similar context. Helco, 1973 first studied the effects of such a learning in economic policymaking and said ”men collectively wondering what to do… Governments not only ‘power’… they also puzzle.” The important point in studying policymaking through social learning approach is paradigm shifts in peoples’ mental models. In this approach, policies are not only the result of conflict between different interests but also are the output of a learning process. In this research we first assume that social learning has not occurred in policymaking community and that individual learning has... 

Wireless sensor network is composed of a large number of sensor nodes which are densely deployed to monitor the environment and collect information from physical events. There are different modelsfor sending collected data to users; one of them is query-driven models, in which according to user interest and via declarative queries collected data is delivered. Wireless sensor networks are energy constrained; regarding this issue, it is necessary to have an energy efficient design. Data aggregation or in network processing is one existing solution to reduce energy consumption. Data correlation or redundancy is also can be used with this method to save energy even more. In this thesis, an... 

Hydrogen bond is a type of molecular bond which occurs between hydrogen and a highly electronegative atom (usually F, N and O) and results in special properties.Alkyl phosphonic acids and their derivatives have several applications as pesticides, antibiotics and anti-viruses. Furthermore, some chemicals in human nervous system hydrolyze to alkyl phosphonates and finally to methyl phosphonic acid. Linear alkyl phosphonic acids and their saults have both organic nonpolar hydrophobic groups and inorganic hydrophilic groups and used as surfactants.Different substituents can affect the acidity of alkyl phosphonic acids. Investigation have shown that hydroxyl functional group can increase the... 

The Major Histocompatibility Complex (MHC) Class I molecules play a crucial role in the immune system. These molecules present peptides derived from intracellular proteins on the cell surface to be recognized by T cells. This process is vital for identifying and eliminating cancerous or infected cells. In cancer therapy, particularly in the development of personalized vaccines, accurately selecting peptides that can effectively bind to MHC Class I and stimulate a strong immune response is a significant challenge. This research introduces an innovative neural network model that utilizes a cross-encoder architecture and leverages a pre-trained model to simultaneously process peptide and MHC... 

High level of safety, environmental issues, economic efficiency and on-line refueling give the potential to pebble bed reactors to have a unique significance among the new generation of reactors. Here the reactor core is an assembly of the fuel pebbles and moderators which are randomly located in the core. This feature makes it difficult and ingenious for simulating, moreover this kind of distribution makes us unable to know the exact structure of the core. Fuel pebble is made of many tiny particles called TRISO which are again randomly located in the graphite lattice, therefore makes the reactor's simulation too difficult. Due to these problems, simulation of this reactor with certain codes... 

Because of growing amount of data which communicated across the world, analyzing massive data set becomes more important than ever. The graph structure as an important and broadly used data structure is much more important than others. In this thesis, besides introducing the sublinear time algorithm model for massive data as a very efficient and superfast method to deal with massive data, we use them to solve problems for colored graphs. As a fundamental property, we try to compute the average of colored degree. This problem is analyzed from different aspects with various limitation. Two algorithms with multiplicative approximation factor, based on the average degree of simple graphs are... 

Cars with high center of gravity, such as SUV-Sport Utility Vehicles- have high tendency to roll over in high speeds and rapid maneuvers. An idea formerly proposed is to use a high speed rotating disc like a gyroscope on the onset of the rollover to exert a high stabilizing moment on the vehicle, and consequently prevent rollovers. Also using two counter rotating discs with opposite nutation will prevent interference with the car other degrees of freedom. To reduce the interference of the spinning discs with the vehicle dynamics, the discs are to be brought to speed by the action of a high accelerating mechanism during the rollover process(similar to the action of an airbag). This project... 

Identification of dust storm hotspots using high resolution 1 km MODIS Aerosol Optical Depth (AOD) data obtained by MAIAC algorithm for a region including Iran and its neighbors, is one of the objectives of the present study. By implementing three important statistics on AOD and averaging over the last decade time period (2009-2019), dust sources of Iran, Iraq, Syria, Saudi Arabia, Oman, Afghanistan, and Pakistan were specified. These statistics include frequency of occurrence AOD>0.3, mean and coefficient of variation of aerosol optical depth. The membership rank of source zones in the set of hotspot areas has been obtained by applying the fuzzy logic approach on the three mentioned layers.... 

In this thesis, a method for predicting software defects in object-oriented web applications using deep learning is presented. Due to the increasing complexity of web-based software, such as e-commerce systems and financial businesses, maintaining the quality and reliability of these programs is of great importance. Software defects in such environments can lead to security problems, financial losses and loss of reputation of organizations. Therefore, an efficient method to predict and identify defects in the early stages of software development can help improve quality and reduce software development and maintenance costs. The proposed model in this research is a combination of...