UNLABELLED Small-animal models are crucial to gain insights in the complex recovery mechanisms of liver function during liver regeneration. (99m)Tc-Mebrofenin hepatobiliary scintigraphy (HBS) has been introduced for noninvasive assessment of liver function in the clinical setting as well as in experimental research. However, HBS is restricted to planar modalities in small animals because hepati...

Student school engagement, or the person-environment fit between a student and the student’s school, is a construct that has received increasing attention in the school psychology literature in recent years. However, little research has examined this construct among lesbian, gay, bisexual, transgender, queer and questioning (LGBTQ) students or analyzed whether factors such as access to safe adu...

The concept of intelligently controlling the search process of gravitational search algorithm (GSA) is introduced to develop a novel data mining technique. The proposed method is called fuzzy GSA miner (FGSA-miner). At first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...

Technetium-99m-diethylenetriaminepentaacetic acid-galactosyl-human serum albumin (99mTc-GSA) is a liver scintigraphy agent which binds to asialoglycoprotein receptor in hepatocyte. Twenty-six patients with liver dysfunction were examined with 99mTc-GSA liver scintigraphy using two-compartment and two-parameter model (2C2P model). The 99mTc-GSA was assumed to move within two compartments (whole ...

Data clustering is one of the most popular techniques of information management, which is used in many applications of science and engineering such as machine learning, pattern reorganization, image processing, data mining, and web mining. Different algorithms have been suggested by researchers, where the evolutionary algorithms are the best in data clustering and especially in big datasets. It...

The objective of this paper is to propose three modified versions of the Gravitational Search Algorithm for continuous optimization problems. Although the Gravitational Search Algorithm is a recently introduced promising memory-less heuristic but its performance is not so satisfactory in multimodal problems particularly during the later iterations. With a view to improve the exploration and exp...

The Gravitational Search Algorithm (GSA) is a novel heuristic optimization method based on the law of gravity and mass interactions. It has been proven that this algorithm has good ability to search for the global optimum, but it suffers from slow searching speed in the last iterations. This work proposes a hybrid of Particle Swarm Optimization (PSO) and GSA to resolve the aforementioned proble...