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Big Lessons from Small Bacteria : Following Photo-driven Processes in Photosynthetic Systems with Multidimensional Spectroscopy

Sunlight is a plentiful, continuously flowing source of energy, fuelling life on Earth as we know it. To use this potential, plants, cyanobacteria and photosynthetic bacteria evolved to absorb solar radiance and convert it into a chemically stable form by performing a process known as photosynthesis. Despite a wide variety of photosynthetic systems, the initial steps of photosynthesis are similar.

Reduced epilepsy development in synapsin 2 knockout mice with autistic behavior following early systemic treatment with interleukin-6 receptor antibody

BACKGROUND: Individuals with autism spectrum disorder (ASD) have an increased risk of developing epilepsy. Both ASD and epilepsy have been associated with increased levels of immune factors in the blood, including the proinflammatory cytokine interleukin 6 (IL-6). Mice lacking the synapsin 2 gene (Syn2 KO) exhibit ASD-like behavior and develop epileptic seizures. Their brains display neuroinflamma

Cell-specific switch for epileptiform activity : critical role of interneurons in the mouse subicular network

During epileptic seizures, neuronal network activity is hyper synchronized whereby GABAergic parvalbumin-interneurons may have a key role. Previous studies have mostly utilized 4-aminopyridine to induce epileptiform discharges in brain slices from healthy animals. However, it is not clear if the seizure-triggering ability of parvalbumin-interneurons also holds true without the use of external conv

Scientific collaboration amid geopolitical tensions: a comparison of Sweden and Australia

Significant collaborations with research partners in China are seen in many Western countries. With increasing geopolitical tensions governments, research institutions and individuals are increasingly called upon to address a proliferating array of risks and challenges associated with scientific collaboration with China. The situation is characterised by two parallel, intertwined processes. On the

Labour market consequences of an early-onset disability : the case of cerebral palsy

The labour market consequences of early-onset or congenital disabilities have received little attention in the literature. In this paper, we study the consequences of cerebral palsy (CP), a lifelong early onset disability, and pathways through which it affects labour outcomes. We use data from multiple linked Swedish National Population Registers between 1990 and 2015 and apply both regression and

Stability and structural evolution of double-stranded DNA molecules under high pressures : A molecular dynamics study

Conformational changes and stability of interacting double-stranded DNA chains under high hydrostatic pressure in biological systems are striking topics of importance to study several biomolecular phenomena. For example, to unravel the physiological conditions at which life might occur and to ensure the right functionality of the biochemical processes into the cell under extreme thermodynamic cond

Ecological traits interact with landscape context to determine bees' pesticide risk

Widespread contamination of ecosystems with pesticides threatens non-target organisms. However, the extent to which life-history traits affect pesticide exposure and resulting risk in different landscape contexts remains poorly understood. We address this for bees across an agricultural land-use gradient based on pesticide assays of pollen and nectar collected by Apis mellifera, Bombus terrestris

Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes : A participatory approach

The assessment of flood vulnerability is a complex task that involves numerous uncertainties. Within this context, sensitivity analyses are crucial to better understand the variability of vulnerability index outcomes according to different input parameters. The present study sheds light on the importance of assessing the sensitivity of different criteria weights to construct flood vulnerability in

Reconstructing long-term global satellite-based soil moisture data using deep learning method

Soil moisture is an essential component for the planetary balance between land surface water and energy. Obtaining long-term global soil moisture data is important for understanding the water cycle changes in the warming climate. To date several satellite soil moisture products are being developed with varying retrieval algorithms, however with considerable missing values. To resolve the data gaps

Real Utopias at Work. Conflicts and dreams among nurses in the public sector.

This chapter illuminates what nurses experience as central conflicts shaping their everyday/everynight work, and what forms of injustice they identify as arising from those circumstances. Through the concept of real utopia, we explore what forms of radical visions of care nurses harbour and express. A central argument is that the interviewed nurses suggest a new system of value - in which care con

Comparative analysis of atmospheric parameters from high-resolution spectroscopic sky surveys : APOGEE, GALAH, Gaia-ESO

Context. SDSS-IV APOGEE-2, GALAH, and Gaia-ESO are high-resolution, ground-based, multi-object spectroscopic surveys providing fundamental stellar atmospheric parameters and multiple elemental abundance ratios for hundreds of thousands of stars of the Milky Way. Data from these and other surveys contribute to investigations of the history and evolution of the Galaxy. Aims. We undertake a compariso

CLIMBra - Climate Change Dataset for Brazil

General Circulation and Earth System Models are the most advanced tools for investigating climate responses to future scenarios of greenhouse gas emissions, playing the role of projecting the climate throughout the century. Nevertheless, climate projections are model-dependent and may show systematic biases, requiring a bias correction for any further application. Here, we provide a dataset based

Are Brazilian catchments gaining or losing water? The effective area of tropical catchments

Similar to most countries, the Brazilian water resources management considers topographically delineated catchment as a territorial unit for policy implementation. Yet, previous studies have shown that catchments are not hydrologically isolated, and topographic limits often neglect the groundwater boundaries. Thus, studies on effective catchment areas are promising for shedding light on inter-catc

Chromatic aberrations correction of attosecond high-order harmonic beams by flat-top spatial shaping of the fundamental beam

Attosecond pulses created by high-order harmonic generation in gases often exhibit strong chromatic aberrations, arising from the broad bandwidth and wavelength-dependent nonlinear light-matter interaction. When the driving laser intensity varies spatially, as for Gaussian driving beams, the apparent source position of the harmonics differs significantly from one order to the next, thus affecting

Automated Low-Cost Soil Moisture Sensors: Trade-Off between Cost and Accuracy

Automated soil moisture systems are commonly used in precision agriculture. Using low-cost sensors, the spatial extension can be maximized, but the accuracy might be reduced. In this paper, we address the trade-off between cost and accuracy comparing low-cost and commercial soil moisture sensors. The analysis is based on the capacitive sensor SKU:SEN0193 tested under lab and field conditions. In a

Conifer-killing bark beetles locate fungal symbionts by detecting volatile fungal metabolites of host tree resin monoterpenes

Outbreaks of the Eurasian spruce bark beetle (Ips typographus) have decimated millions of hectares of conifer forests in Europe in recent years. The ability of these 4.0 to 5.5 mm long insects to kill mature trees over a short period has been sometimes ascribed to two main factors: (1) mass attacks on the host tree to overcome tree defenses and (2) the presence of fungal symbionts that support suc

Constraints on the hadronic light-by-light in the Melnikov-Vainshtein regime

The muon anomalous magnetic moment continues to attract attention due to the possible tension between the experimentally measured value and the theoretical Standard Model prediction. With the aim to reduce the uncertainty on the hadronic light-by-light contribution to the magnetic moment, we derive short-distance constraints in the Melnikov-Vainshtein regime which are useful for data-driven determ

Flyways and migratory behaviour of the Vega gull (Larus vegae), a little-known Arctic endemic

Large gulls are generalist predators that play an important role in Arctic food webs. Describing the migratory patterns and phenology of these predators is essential to understanding how Arctic ecosystems function. However, from all six large Arctic gull taxa, including three long-distance migrants, to date seasonal movements have been studied only in three and with small sample sizes. To document

A note on variable susceptibility, the herd-immunity threshold and modeling of infectious diseases

The unfolding of the COVID-19 pandemic has been very difficult to predict using mathematical models for infectious diseases. While it has been demonstrated that variations in susceptibility have a damping effect on key quantities such as the incidence peak, the herd-immunity threshold and the final size of the pandemic, this complex phenomenon is almost impossible to measure or quantify, and it re