Tag: Satisfaction

Free Download Adventurous Woman’s Blueprint for Sexual Satisfaction by Ellen Norton
English | 2024 | ISBN: B0DFTS71BT | EPUB | 0.21 Mb
Welcome to Adventurous Woman’s Blueprint for Sexual Satisfaction, a transformative guide designed to empower women to fully embrace their sexual desires and achieve lasting fulfillment. In a world that often sends mixed messages about women’s sexuality, this book serves as a beacon for those ready to explore, understand, and own their sexual selves with confidence and joy.

Free Download Beyond Happiness: The 6 Secrets of Lifetime Satisfaction (Audiobook)
English | October 06, 2022 | ASIN: B0BGMWKMMH | M4B@128 kbps | 6h 27m | 353 MB
Author: Dr. Jennifer Guttman | Narrator: Bernadette Dunne
Are you happy? Nearly half of adults worldwide-40 percent-would say "no". Even when we possess it, happiness can be a fleeting emotion. It’s natural that we should desire something longer lasting.
In Beyond Happiness: The 6 Secrets of Lifetime Satisfaction, psychologist Dr. Jennifer Guttman guides listeners in living a deeply fulfilling life by aiming for a kind of contentment that is more sustainable than happiness.

Free Download Life and Job Satisfaction in China: Exploring Longitudinal Analysis with Mplus by Lukasz Czarnecki , Delfino Vargas Chanes
English | PDF EPUB (True) | 2023 | 112 Pages | ISBN : 3031486943 | 9 MB
This book examines subjective wellbeing in China in terms of life and job satisfaction from a longitudinal perspective during the last decade. Using quantitative methods, the research presented in this volume performed a longitudinal analysis of data collected by the China Family Panel Studies (CFPS) from 2010 to 2018 to study the effects of social and economic transformations on life and job satisfaction among the Chinese population in this period.

Free Download The Complexity of Valued Constraint Satisfaction Problems by tanislav Živný
English | PDF | 2012 | 176 Pages | ISBN : 3642339735 | 1.9 MB
The topic of this book is the following optimisation problem: given a set of discrete variables and a set of functions, each depending on a subset of the variables, minimise the sum of the functions over all variables. This fundamental research problem has been studied within several different contexts of discrete mathematics, computer science and artificial intelligence under different names: Min-Sum problems, MAP inference in Markov random fields (MRFs) and conditional random fields (CRFs), Gibbs energy minimisation, valued constraint satisfaction problems (VCSPs), and, for two-state variables, pseudo-Boolean optimisation.