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Concurrent Drought and Temperature Stress in Rice—A Possible Result of the Predicted Climate Change: Effects on Yield Attributes, Eating Characteristics, and Health Promoting Compounds

Despite the likely increasing co-occurrence of drought and heat stress, not least in equatorial regions, due to climate change, little is known about the combinational effect of these stresses on rice productivity and quality. This study evaluated the impact of simultaneous drought and temperature stress on growth, grain yield, and quality characteristics of seven rice cultivars from Rwanda, grown

Long-term beach and dune evolution : Development and application of the CS-model

Coastal flooding and erosion are worldwide problems that are further aggravated by rising sea levels and increasing population densities in coastal areas. In many of those areas, sandy beaches and dunes protect thehinterland from waves and extreme water levels during storms, while providing natural and recreational values. Sandy coasts are dynamic systems. Thus, risk assessments and coastal manage

BDNF increases associated with constant troponin T levels and may protect against poor cognitive interference control : The SABPA prospective study

BACKGROUND: Brain derived neurotrophic factor (BDNF) modulates brain health and cognition, which can interfere with executive cognitive function. BDNF was implicated with microcirculatory ischemia and may reflect cardiomyocyte injury. We aimed to determine whether prospective changes (%Δ) in BDNF and cardiac troponin T (cTnT) will be associated with executive cognitive function in a bi-ethnic coho

Sailing towards a circular economy: conditions for increased reuse and remanufacturing in the Scandinavian maritime sector

The transition to a Circular Economy (CE) requires enabling conditions that remove existing barriers in product life extension and material recovery operations. This contribution investigates barriers to material resource efficiency strategies in the maritime sector in Scandinavia and discusses the potential of policy interventions to enable increased reuse and remanufacturing of ship components.

Measuring Institutions : What We Do Not Know

The last two decades have seen a significant increase in the number and quality of cross-national measures of institutions, which are also covering longer and longer time spans. However, despite the considerable progress that has been made, important measurement issues linger. This chapter argues that the key future challenge for the measurement of institutions is how to square objective or direct

"Vi klimatforskare stödjer Greta och skolungdomarna"

DN DEBATT 15/3. Sedan industrialiseringens början har vi använt omkring fyra femtedelar av den mängd fossilt kol som får förbrännas för att vi ska klara Parisavtalet. Vi har bara en femtedel kvar och det är bråttom att kraftigt reducera utsläppen. Det har Greta Thunberg och de strejkande ungdomarna förstått. Därför stödjer vi deras krav, skriver 270 klimatforskare.

Why Was Unemployment so Low in Postwar Sweden? An Analysis with New Unemployment Data by Manufacturing Industry, 1935-1948

Sweden is often cited as one of the starkest examples of a country where corporatist policy structures and centralized wage bargaining produced remarkable economic and social outcomes in the postwar golden years. Not surprisingly, previous explanations for Sweden’s full employment period have emphasized this set of labor market institutions which was in place from the 1950s. Alternatively, tempora

Finding black holes with black boxes – using machine learning to identify globular clusters with black hole subsystems

Machine learning is a powerful technique, becoming increasingly popular in astrophysics. In this paper, we apply machine learning to more than a thousand globular cluster (GC) models simulated with the mocca-Survey Database I project in order to correlate present-day observable properties with the presence of a subsystem of stellar mass black holes (BHs). The machine learning model is then applied

Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study

We consider Bayesian inference for stochastic differential equation mixed effectsmodels (SDEMEMs) exemplifying tumour response to treatment and regrowth in mice. We produce an extensive study on how an SDEMEM can be fitted by using both exact inference based on pseudo-marginal Markov chain Monte Carlo sampling and approximate inference via Bayesian synthetic likelihood (BSL). We investigate a two-

Splinter Hemorrhage as a Telltale of Active Extra-Cranial Giant Cell Arteritis : A Case Report and Review of the Literature

Rheumatologists and general practitioners as a rule do not examine the nails when giant cell arteritis (GCA) is suspected, and may thus miss a simple yet valuable clinical sign. Splinter hemorrhage (SH) is a non-specific but significant clinical finding that can be seen in a wide range of conditions and by different medical specialists, among others: rheumatologists, infectious diseases specialist

Ut med ryssarna! : Antikommunistiska upplopp i Danmark och Sverige under Ungernkrisen 1956

When the Soviet Union invaded Hungary in 1956, a wave of streetlevel anti-communist protests swept overWestern Europe. These often violent protest were directed against Soviet embassies, domestic communist parties and communistnewspapers. The wave also reached Scandinavia, where the 1950’s otherwise is considered a calm and peaceful period. In Denmark and Sweden, a number of antiSoviet and anti-co

Prior language knowledge and intercomprehension at the first encounter of Italian as an additional language. A translation task

The aim of the present study is to examine and describe Swedish upper secondary students’ use of their background languages while translating a text from Italian, a language unknown to them, into either their L2 English or their L3 French or Spanish. The assumption here is that searching for similarities between these languages is a natural feature of language learning and that intercomprehension

A combined gene expression tool for parallel histological prediction and gene fusion detection in non-small cell lung cancer

Accurate histological classification and identification of fusion genes represent two cornerstones of clinical diagnostics in non-small cell lung cancer (NSCLC). Here, we present a NanoString gene expression platform and a novel platform-independent, single sample predictor (SSP) of NSCLC histology for combined, simultaneous, histological classification and fusion gene detection in minimal formali