We study linear actions of algebraic groups on smooth projective varieties X. A guiding goal for us is to understand the cohomology of “quotients” under such actions, by generalizing (from reductive to non-reductive group actions) existing methods involving Mumford’s geometric invariant theory (GIT). We concentrate on actions of unipotent groups H, and define sets of stable points X and semista...

In this paper, we consider quotient structure and quotient difunctions in the context of interior and closure operators on textures in the sense of Dikranjan-Giuli. The generalizations of several results concerning separation and quotient mapping are presented. It is shown that the category of interior-closure spaces and bicontinuous difunctions has a T0 reflection. Finally, we introduce some c...

Indonesia saat ini mengalami beban ganda masalah gizi, dimana defisiensi gizi mikro dan makro terjadi bersamaan dengan tingginya prevalensi obesitas. Penting memaksimalkan peran kader Posyandu Ibu balita sebagai upaya untuk mewujudkan derajat kesehatan masyarakat yang optimal. Kegiatan bertujuan memberikan edukasi tentang pada metode Emotional Demonstration (Emo-Demo), kegiatan digunakan Emo-De...

This book explores some emerging techniques for problem solving of a general nature, based on the tools of EMO. In this introduction, we provide background material to support the reader’s journey through the succeeding chapters. Given here are a basic introduction to optimization problems, and an introductory treatment of evolutionary computation, with thoughts on why this method is so success...

The EMO (Epstein, Macintosh, Oxford) ether vaporizer has received worldwide acceptance as a simple thermo-compensated anaesthetic apparatus. Equipped with a Penlon bellows and a nonrebreathing valve, safe ether-air or methoxyflurane-air anaesthesia can be administered with this machine in almost any geographical location. An extensive bibliography of clinical papers related to the use of this a...

Recently, various research fields have begun dealing with massive datasets forseveral functions. The main aim of a feature selection (FS) model is to eliminate noise, repetitive, and unnecessary featuresthat reduce the efficiency classification. In limited period, traditional FS models cannot manage filterunnecessary features. It has been discovered from state-of-the-art literature that metaheu...

In Friedmann, Hansen, and Zwick (2011) we claimed that the expected number of pivoting steps performed by the Random-Facet algorithm of Kalai and of Matoušek, Sharir, and Welzl is equal to the expected number of pivoting steps performed by Random-Facet∗, a variant of Random-Facet that bases its random decisions on one random permutation. We then obtained a lower bound on the expected number of ...

Optimization and learning are two main paradigms of artificial intelligence in addressing complex real-world problems, with their respective focuses but frequently enhanced by each other. Evolutionary multi-objective optimization (EMO) algorithms a family nature-inspired widely used for solving problems (MOPs). Despite the great success achieved existing EMO algorithms, most these have also enc...