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58 tulosta hakusanalla Bessolo

Besslovesnye zalozhniki i drugie istorii

Besslovesnye zalozhniki i drugie istorii

Paul Gelliko

Podpisnye izdanija
2025
sidottu
Amerikanskij pisatel i stsenarist Pol Gelliko (1897-1976), avtor romanov "Tomasina" i "Missis Kharris edet v Parizh", sdelal sebe imja v sportivnoj zhurnalistike, sluzhil vo flote vo vremja Pervoj mirovoj i byl voennym korrespondentom v gody Vtoroj. On obezdil ves svet, chetyrezhdy byl zhenat, ljubil rybalku, fekhtovanie i zhivotnykh - u nego doma zhili dvadtsat tri koshki i dog. No bolshe vsego on ljubil sochinjat istorii.V 1941 godu Gelliko opublikoval "Beluju gusynju" - korotkuju povest o druzhbe neljudimogo khudozhnika, zhivuschego v zabroshennom majake, i devushki iz rybatskoj derevni, pojavivshejsja na ego poroge s ranenoj ptitsej v rukakh. Za etoj istoriej o ljubvi i vojne, zasluzhivshej pokhvalu Khemingueja i izmenivshej zhizn ee avtora, posledovali "Verna" - tragicheskij rasskaz o molodoj aktrise, bezotvetno vljublennoj v stsenu; "Snezhinka" - filosofskaja pritcha o poiskakh smysla bytija; "Besslovesnye zalozhniki" - mrachnyj grotesk vremen kholodnoj vojny o dvukh bezzhalostnykh ubijtsakh v begakh... Eti i drugie obmanchivo prostye, pechalnye i zabavnye istorii Pola Gelliko o borbe dobra i chelovekoljubija s okruzhajuschim mrakom i otchajaniem publikujutsja v etom sbornike v perevodakh Olega Dormana i s illjustratsijami Romana Rudnitskogo.V sbornik vkljucheny rasskazy: "Belaja gusynja", "Verna", "Strashnyj sekret mse Bonvalja", "Shljapa", "Chudesnaja kukla", "Besslovesnye zalozhniki", "Snezhinka".Perevodchik: Oleg Dorman
Due Antiche Coppe: Routine a due bussolotti in cinque tempi

Due Antiche Coppe: Routine a due bussolotti in cinque tempi

Matteo Filippini

Createspace Independent Publishing Platform
2013
nidottu
La bibliografia magica mondiale offre una sconfinata quantit di materiale dedicata all'immortale Gioco Dei Bussolotti. Da anni Matteo Filippini studia con passione molti dei testi riguardanti i bussolotti; con "Due Antiche Coppe" non ha di certo la pretesa di rivoluzionare nulla a proposito di quanto detto e scritto da centinaia di anni su tal nobile gioco, ma l'autore ritiene di aver comunque qualcosa da dire in merito sia al neofita che al prestigiatore navigato.Il libretto offre una semplice ma efficace routine a due bussolotti, ideale anche nel caso in cui le condizioni di lavoro non siano proprio ottimali.Nel corso del testo, oltre all'analisi e alla descrizione delle tecniche impiegate, l'autore si addentra anche nell'ambito teorico che sta alla base di certe sue scelte, con numerosi richiami storici/bibliografici. Tra le tecniche descritte: impalmaggi, falsi depositi, diversi tipi di carichi e furti delle palline, la Charlie Miller Move ed altro. presente anche una nutrita sezione dedicata agli strumenti di lavoro: tipi di tazze, palline, carichi finali, bacchetta magica, gestione del materiale e altro ancora La descrizione della routine, divisa in cinque tempi, precisa, particolareggiata e corredata da numerose fotografie. A completamento dell'opera una bibliografia essenziale commentata."Due Antiche Coppe" una sorta di succulento antipasto ad un'opera ben pi ambiziosa alla quale Filippini sta lavorando, Il Giuoco Dei Bussolotti, un trattato teorico-pratico completo, il primo in lingua italiana, completamente dedicato al pi antico dei prestigi.
Shared prosperity

Shared prosperity

Maurizio Bussolo; Luis F. Lopez-Calva

World Bank Publications
2014
nidottu
The World Bank has recently defined two strategic goals: ending extreme poverty and boosting shared prosperity. Shared prosperity is measured as income growth among the bottom 40 percent of the income distribution in the population. The two goals should be achieved in a way that is sustainable from economic, social, and environmental perspectives. Shared Prosperity: Paving the Way in Europe and Central Asia focuses on the second goal and proposes a framework that integrates both macroeconomic and microeconomic elements. The macro variables, particularly changes in relative prices, affect income growth differentially along the income distribution; at the same time, the microeconomic distribution of assets at the bottom of the distribution determines the capacity of the bottom 40 to take advantage of the macroeconomic environment and contribute to overall growth. Growth and the incidence of growth are thus understood as jointly determined processes. Besides this integration, the main input of the framework is the finding that the trade-off between growth and equity may be an issue only in the short run. Over the long run, redistribution policies that increase the productive capacity of the bottom 40 percent enhance the overall growth potential of the economy. This report considers shared prosperity in Europe and Central Asia and concludes that the performance in sharing prosperity during the period 2000 10 was good, on average, but heterogeneous across countries and that sustainability is unclear. It also describes examples of the application of the framework to selected countries in the region. Finally, the report provides a tool to structure the policy discussion around the goal of shared prosperity and explains that specific policy links associated with the goal can be established only after a thorough analysis of the country-specific context.
Golden aging

Golden aging

Maurizio Bussolo; Johannes Koettl

World Bank Publications
2015
nidottu
Compared to other regions, Europe and Central Asia is by far the oldest. Moreover, population aging is set to accelerate further over the next decades, as large cohorts turn old. Some countries in the region, such as Russia and Eastern European countries, additionally face a shrinking of their populations. Against this backdrop, this report investigates what stands in the way of societies reaping the full benefits of increased longevity in the region that is, longer lives and potentially prolonged payoffs from human capital and what can help to mitigate the possible negative impacts of a smaller and older workforce. Beginning with a focus on demographic trends, the report puts the rapid decline in fertility and contrasting migration trends in the region in a historical perspective and looks forward at the varying paths that population change may follow in the region. Next, it examines the evidence on the likely impact of demographic change on growth and savings, the labor force, firm and economy-wide innovation, poverty and inequality, and intergenerational solidarity. Finally, the report goes beyond diagnostics and puts an emphasis on what we know regarding successful policy interventions, presenting evidence on what has and has not worked in the past."
Toward a new social contract

Toward a new social contract

Maurizio Bussolo

World Bank Publications
2018
nidottu
This report identifies and provides a detailed assessment of inequality between generations, workers, regions that are fueling perceptions of unfairness and eroding the social contract. It illustrates how current policies and institutions are not equipped to deal with these distributional tensions.
Introduction to Deep Learning Using R
Understand deep learning, the nuances of its different models, and where these models can be applied.The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.What You'll LearnUnderstand the intuition and mathematics that power deep learning modelsUtilize various algorithms using the R programming language and its packagesUse best practices for experimental design and variable selectionPractice the methodology to approach and effectively solve problems as a data scientistEvaluate the effectiveness of algorithmic solutions and enhance their predictive powerWho This Book Is ForStudents, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful.
Applied Natural Language Processing with Python
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.What You Will Learn Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and GensimManipulate and preprocess raw text data in formats such as .txt and .pdfStrengthen your skills in data science by learning both the theory and the application of various algorithms Who This Book Is For You should be at least a beginner in ML to get the most out of this text, but you needn’t feel that you need be an expert to understand the content.
Applied Reinforcement Learning with Python
Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions. What You'll LearnImplement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning–based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is For Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.
Interprofessional Interaction and Communication
Interprofessional Interaction and Communication: A Strategy Guide for Medical Students is designed to help students prepare for and thrive within clinical rotations, internships, and residencies. The text provides readers with practical communication skills and techniques to foster positive and productive interactions with patients and other clinicians. A series of vignettes based on real-world scenarios helps students navigate ethical dilemmas and interpersonal situations that are common in the clinical environment.The book begins with a chapter dedicated to professionalism in clinical practice. Additional chapters highlight effective communication strategies and techniques, outline items students should always have on hand in clinical settings, and review best practices for medical record documentation. Readers learn about standard safety precautions and procedures, as well as the necessity of interpersonal skills, cultural competency, and emotional health development. Concluding chapters provide residency and rotation strategies for success and advice for preparing for graduation, certification exams, and job searches. Throughout, positive affirmations motivate readers as they progress from first contact in the clinical setting to interviewing for professional positions in the field.Interprofessional Interaction and Communication is a valuable resource for students taking ethics courses, participating in professional training, or preparing for clinical exposures.