We live in a data-intensive world and every day a lot of new data is being generated in domains like the internet, genetics, and multimedia, among others. This paper explores recent advances in sparse linear models, mainly in terms of algorithmic development and to a lesser extent exploring ways to apply them to large datasets. We discuss mathematical motivation behind these algorithms and also...

blood samples (291857) from 24 provinces of iran were tested for abo and rh groups. the rh complexes as well as kell, duffy, kidd, lutheran, kp and xg blood groups were tested only on a part of the material from tehran. results show a great deal of heterogeneity for abo and rh groups in various provinces of iran. the calculated gene frequencies are compared with those of other investigations in...

in 1998 international guidelines on principles of ethics in medical genetics and genetic services was edited and provided by the world health organization. these principles are autonomy, beneficence, non-maleficience, proportionality of beneficence and non-malificience, and justice. the world health organization considers the observance of these principles highly important and expects all membe...

background: inversion of the uterus is very uncommon. patients may present with pelvic pain, vaginal discharge, or hemodynamic shock. case: we report a case of 35 years old women (virgin) who was admitted with profuse vaginal bleeding and cramps of uterus. in the vaginal examination at litothomy position a mass of 58 cm in size was protruded from the vagina. at first myomectomy was performed a...

In this paper, we present a fast and simple algorithm for constructing a minimal acyclic deterministic finite automaton from a finite set of words. Such automata are useful in a wide variety of applications, including computer virus detection, computational linguistics and computational genetics. There are several known algorithms that solve the same problem, though most of the alternative algo...

This paper presents the use of genetic algorithms for identification of Escherichia coli fed-batch fermentation process. Genetic algorithms are a directed random search technique, based on the mechanics of natural selection and natural genetics, which can find the global optimal solution in complex multidimensional search space. The dynamic behavior of considered process has known nonlinear str...

Of late Molecular biology is becoming increasingly dependent on computer science algorithms as research tools. The process of aligning DNA sequences is widely used in modern biological sciences. Genetics databases hold extremely large amount of raw data. The human genome alone has approximately 3 billion DNA base pairs. To search through all this data and to find meaningful relationships in it,...

This paper proposes a Hybrid Genetic Algorithm (HGA) for the Resource Constrained Project Scheduling Problem (RCPSP). Resources are renewable and there is a unique way to perform the activities. This work employs Genetics Algorithms (GA) and Hybrid Genetic Algorithms to schedule project activities to minimize makespan subject to precedence constraints and resources availability. The algorithms ...