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This paper is intended to give a short overview of the epidemiologic and experimental data on cancer risks associated with very low radiation absorbed doses. The paper will also discuss methods to present these data in an understandable way to those who are exposed e. g. in medical diagnostics and after a radiological or nuclear accident.
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Background: Prediction methods are increasingly used in biosciences to forecast diverse features and characteristics. Binary two-state classifiers are the most common applications. They are usually based on machine learning approaches. For the end user it is often problematic to evaluate the true performance and applicability of computational tools as some knowledge about computer science and stat
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This volume presents a series of case studies that trace the ways in which audiences across Europe have attempted to return to Pompeii by emulating its interior decorations since the city’s rediscovery in the mid-eighteenth century. As such, it is about both the impact of Pompeian antiquity on the present and the reception in the present of that antique past, exploring the variety of ways in which
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We address the problem of the dissipative character of collective motion in finite Fermi systems. We study this problem from the point of view of chaotic features of the fermionic degrees of freedom of the many-body Fermi systems. Our main aim is of two kinds: first, we investigate how quantum chaos sets in in many-body systems and then, we try to relate quantum many-body chaos of the intrinsic fe
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This study is a literature review of three market-based instruments used for land management; environmental offsets, payments for ecosystem services (PES) and certification, and how they could be used to mitigate environmental impacts from sugarcane cultivation in Brazil when purchasing biopolymers. The study showed that certification is the most common market-based instrument in Brazil. Offset an
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The purpose of this thesis is to explore food safety risk perceptions of students at Peking University and to what extent they influence their food consumption behaviour. Apart from existing research about food safety and consumer behaviour, the study relied on findings from thirteen interviews and participant observation. Since much of food safety involves risks, Ulrich Beck’s risk society theory
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Since the late 1990s, a new school subject has emerged in Taiwan and Hong Kong, called “Life Education” (shengming jiaoyu 生命教育) that resembles Swedish forms of livskundskap. Inspired by the desire to assist students in their search for orientation in life and to counteract the alarmingly high suicide rate among young people in a success-driven society, Taiwan’s Ministry of Education has worked con
Biblioteks- och informationsvetenskap: Bibliotek som institution, funktion och fenomen
Alternativa sätt för att diagnostisera svårdefinierade tumörer – Vetenskap och Hälsa
Alternativa sätt för att diagnostisera svårdefinierade tumörer – Vetenskap och Hälsa Hoppa till innehåll Vetenskap och hälsa Populärvetenskapligt om medicinsk forskning i Skåne Teman Podd Tidskrift Prenumerera Om webbplatsen Kontakt Sök Sök Alternativa sätt för att diagnostisera svårdefinierade tumörer 2024-12-11 Cellbild av bentumör och Jan Köster. Porträttfoto: Cajsa Nolskog Cancersjukdomar som
https://www.vetenskaphalsa.se/alternativa-satt-for-att-diagnostisera-svardefinierade-tumorer/ - 2026-07-17
Omstridd tes om Parkinsons sjukdom stärks – sjukdomen kan starta i magen – Vetenskap och Hälsa
Omstridd tes om Parkinsons sjukdom stärks – sjukdomen kan starta i magen – Vetenskap och Hälsa Hoppa till innehåll Vetenskap och hälsa Populärvetenskapligt om medicinsk forskning i Skåne Teman Podd Tidskrift Prenumerera Om webbplatsen Kontakt Sök Sök Omstridd tes om Parkinsons sjukdom stärks – sjukdomen kan starta i magen 2014-10-14 ⚠️ Den här artikeln är mer än 5 år gammal. Nya forskningsrön kan
https://www.vetenskaphalsa.se/omstridd-tes-om-parkinsons-sjukdom-starks-sjukdomen-kan-starta-i-magen/ - 2026-07-17
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In project RASTEP (RApid Source TErm Prediction) a computerized tool for real time prediction of source terms at a nuclear power plant is developed. The tool consists of two modules where one is a Bayesian belief network (BBN). A BBN consists of connected nodes and each node has a defined conditional probability table (CPT), which contains the probabilities that a node is in its different states g
