Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning

Confidence predictors can deliver predictions with the associated confidence required for decision making and can play an important role in drug discovery and toxicity predictions. In this work we investigate a recently introduced version of conformal prediction, synergy conformal prediction, focusing on the predictive performance when applied to bioactivity data. We compare the performance to other variants of conformal predictors for multiple partitioned datasets and demonstrate the utility of synergy conformal predictors for federated learning where data cannot be pooled in one location. Our results show that synergy conformal predictors based on training data randomly sampled with replacement can compete with other conformal setups, while using completely separate training sets often results in worse performance. However, in a federated setup where no method has access to all the data, synergy conformal prediction is shown to give promising results. Based on our study, we conclude that synergy conformal predictors are a valuable addition to the conformal prediction toolbox

Using Predicted Bioactivity Profiles to Improve Predictive Modeling

Predictive modeling is a cornerstone in early drug development. Using information for multiple domains or across prediction tasks has the potential to improve the performance of predictive modeling. However, aggregating data often leads to incomplete data matrices that might be limiting for modeling. In line with previous studies, we show that by generating predicted bioactivity profiles, and using these as additional features, prediction accuracy of biological endpoints can be improved. Using conformal prediction, a type of confidence predictor, we present a robust framework for the calculation of these profiles and the evaluation of their impact. We report on the outcomes from several approaches to generate the predicted profiles on 16 datasets in cytotoxicity and bioactivity and show that efficiency is improved the most when including the p-values from conformal prediction as bioactivity profiles

Classical Chinese gardens : design and philosophy throughout history

Uppsatsen klassiska kinesiska trädgårdar har som syfte att utifrån västerländsk och kinesisk litteratur ge en insikt i de kinesiska trädgårdarnas utveckling och funktion. Uppsatsen ska också visa vilka idéer och filosofier som har format trädgårdarna. I litteraturstudien har framkommit att de kinesiska trädgårdarna innehåller tre viktiga element som skiljer den kinesiska trädgården från andra trädgårdsstilar. Dessa är berg, vatten och arkitektur. Berg och vatten är viktiga symboler i den kinesiska kulturen och ska framkalla känslan av att befinna sig i naturen. Byggnaderna integreras med trädgården och trädgården betraktas som en förlängning av huset, ett extra vardagsrum. Än idag har parker och trädgårdar en funktion som extra vardagsrum för kineserna, en funktion som är viktig i Kinas tätbefolkade storstäder. I uppsatsen diskuteras också relationen mellan trädgårdarna och det daoistiska idealet. Litteraturstudien visar att trädgårdarna fått uttrycka det daoistiska idealet att människa och natur ska vara som en harmonisk enhet. I uppsatsens avslutande diskussion avhandlas ämnen såsom den kulturella skillnaden mellan Kina och Europa, kommunismens inflytande samt vilka trädgårdar som nämns i litteraturen.The paper Classical Chinese Gardens is based on a study of occidental and Chinese literature. The paper is meant to give an insight to the development and function of the Chinese gardens and also show which ideas and philosophies have shaped the gardens. The study has shown that all Chinese gardens have three things in common: Mountain, water and architecture. Mountain and water have a symbolic value and are meant to give a natural feeling to the gardens. The buildings are an integrated part of the gardens and the garden is considered as an outdoor living room. Even today the gardens in China act as an extra living room for the Chinese people - an important function in the modern, very dense, Chinese cities. The paper also discusses the relationship between daoism and the Chinese gardens. Integrating buildings with the gardens is one of the ways to express the daoist philosophy which says humans should act as an integrated part of nature. In the end of the paper subjects such as the cultural differences between China and Europe, the influence of communism and which gardens are considered important are discussed

KubeNow: A Cloud Agnostic Platform for Microservice-Oriented Applications

KubeNow is a platform for rapid and continuous deployment of microservice-based applications over cloud infrastructure. Within the field of software engineering, the microservice-based architecture is a methodology in which complex applications are divided into smaller, more narrow services. These services are independently deployable and compatible with each other like building blocks. These blocks can be combined in multiple ways, according to specific use cases. Microservices are designed around a few concepts: they offer a minimal and complete set of features, they are portable and platform independent, they are accessible through language agnostic APIs and they are encouraged to use standard data formats. These characteristics promote separation of concerns, isolation and interoperability, while coupling nicely with test-driven development. Among many others, some well-known companies that build their software around microservices are: Google, Amazon, PayPal Holdings Inc. and Netflix [11]

Harald Hegstad, Gud, verden og håpet: Innföring i kristen dogmatikk

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