Complex, but flexible neural encoding of arm movements in the macaque parietal cortex

A central role in interacting with the environment is played by higher cortical areas, in which neurons are often sensitive to multiple features of the external world. This type of encoding is termed ‘mixed selectivity’ and it greatly expands the complexity of neural representations, making the neural code more reliable and flexible. Past studies demonstrated that the medial posterior parietal area V6A in the macaque is tuned by many aspects of reaching movements, thus it is likely to contain ‘mixed selectivity’ neurons. Here, we used Generalized Linear Models (GLMs) to simultaneously evaluate the contribution of several factors upon V6A cells during a fix-to-reach task and directly test this hypothesis. The activity of 181 V6A neurons has been recorded from 2 Macaca fascicularis during a foveated delayed reaching task performed towards 9 different targets in the darkness. During the first step of the fitting procedure, LASSO optimization was used to remove from the model the regressors with a negligible effect. Then many models were estimated and subsequently compared, leading to the definition of a ‘functional fingerprint’ representative of the properties of each unit. The analysis of the ‘functional fingerprints’ highlighted the virtual absence of units strictly selective for only one factor, revealing that most cells are characterized by ‘mixed selectivity’. The population resulted ‘category free’, with no evidence for any functional segregation. We also found that the spatial tuning of the population reached a peak during the movement phase, but overall a motor code is maintained along the entire task. Finally, the previous spiking history of each cell resulted extremely relevant to explain the neural modulations for most neurons (62%). In conclusion, the presence of ‘mixed selectivity’ in area V6A, highly expected but never directly tested before, supports the growing emphasis on the importance of neurons exhibiting complex neural behaviours

Carbon Dioxide Emissions of the City Center of Firenze, Italy: Measurement, Evaluation, and Source Partitioning

AbstractAn eddy covariance station was installed in the city center of Firenze, Italy, to measure carbon fluxes at half-hourly intervals over a mostly homogeneous urban area. Carbon dioxide (CO2) emission observations made over an initial period of 3.5 months were compared with indirect estimates of CO2 emissions based on inventory data sources of vehicle circulation and natural gas consumption for domestic heating and cooking. Such a comparison provided proper evaluation of the measurements. Using seasonal dynamics of observed fluxes, the overall CO2 source of the city center was partitioned into its major components (i.e., road traffic and domestic heating). Results were directly compared with CO2 source estimates based on inventory sources

New insights on single-neuron selectivity in the era of population-level approaches

In the past, neuroscience was focused on individual neurons seen as the functional units of the nervous system, but this approach fell short over time to account for new experimental evidence, especially for what concerns associative and motor cortices. For this reason and thanks to great technological advances, a part of modern research has shifted the focus from the responses of single neurons to the activity of neural ensembles, now considered the real functional units of the system. However, on a microscale, individual neurons remain the computational components of these networks, thus the study of population dynamics cannot prescind from studying also individual neurons which represent their natural substrate. In this new framework, ideas such as the capability of single cells to encode a specific stimulus (neural selectivity) may become obsolete and need to be profoundly revised. One step in this direction was made by introducing the concept of "mixed selectivity," the capacity of single cells to integrate multiple variables in a flexible way, allowing individual neurons to participate in different networks. In this review, we outline the most important features of mixed selectivity and we also present recent works demonstrating its presence in the associative areas of the posterior parietal cortex. Finally, in discussing these findings, we present some open questions that could be addressed by future studies

Mightee-hi: Evolution of hi scaling relations of star-forming galaxies at z < 0.5*

We present the first measurements of H I galaxy scaling relations from a blind survey at z > 0.15. We perform spectral stacking of 9023 spectra of star-forming galaxies undetected in H I at 0.23 < z < 0.49, extracted from MIGHTEE-H I Early Science data cubes, acquired with the MeerKAT radio telescope. We stack galaxies in bins of galaxy properties (stellar mass M*, star formation rateSFR, and specific star formation rate sSFR, with sSFR ≡ M*/SFR), obtaining 5σ detections in most cases, the strongest H I-stacking detections to date in this redshift range. With these detections, we are able to measure scaling relations in the probed redshift interval, finding evidence for a moderate evolution from the median redshift of our sample zmed ∼ 0.37 to z ∼ 0. In particular, low-M* galaxies ( ~ * log 9 10( ) M M ) experience a strong H I depletion (∼0.5 dex in log10( ) M M H I ), while massive galaxies ( ~ * log 11 10( ) M M ) keep their H I mass nearly unchanged. When looking at the star formation activity, highly star-forming galaxies evolve significantly in MH I ( fH I, where fH I ≡ MH I/M*) at fixed SFR (sSFR), while at the lowest probed SFR (sSFR) the scaling relations show no evolution

Co-composted biochar improves barley yield, manure use efficiency and offsets chemical fertilizer demand in organic agriculture under low rainfall conditions

Please click Additional Files below to see the full abstrac

Chemical Looping Combustion in a Bed of Iron Loaded Geopolymers

Abstract The chemical looping combustion allows for inherent CO 2 separation when burning fossil fuels in presence of a suitable oxygen carrier. The choice of the material to be used should take into account not only chemical/physical properties but also economical, environmental, and safety concerns, addressing for more common materials, like Fe oxides. In this research a geopolymeric oxygen carrier, based on Fe 2 O 3 , was tested for the first time in a laboratory CLC plant operated at high temperature for the combustion of a CO rich gas from char gasification in CO 2 . The CLC plant reliably performed in repeated cycles without decay of the CO conversion during the chemical looping combustion. The maximum CO content in the flue gas was around 1% vol. and carbon monoxide conversion achieved 97%. The calculated oxygen transport capacity was 0.66%. The plant results were confirmed by the XRD analysis that proved the presence of reduced phases in samples after chemical looping stage and by significant peaks obtained during H 2 reduction in TPR equipment

Fate of soil organic carbon and polycyclic aromatic hydrocarbons in a vineyard soil treated with biochar

The effect of biochar addition on the levels of black carbon (BC) and polcyclic aromatic hydrocarbons (PAHs) in a vineyard soil in central Italy was investigated within a two year period. Hydropyrolysis (HyPy) was used to determine the contents of BC (BCHyPy) in the amended and control soils while the hydrocarbon composition of the semi-labile (non-BCHyPy) fraction released by HyPy was determined by gas chromatography-mass spectrometry, together with the solvent-extractable PAHs. The concentrations of these three polycyclic aromatic carbon reservoirs, changed and impacted differently on the soil organic carbon over the period of the trial. The addition of biochar (33 ton dry biochar ha-1) gave rise to a sharp increase in soil organic carbon which could be accounted for by an increase of BCHyPy. Over time, the concentration of BCHyPy decreased significantly from 36 to 23 mg g-1, and as a carbon percentage from 79% to 61%. No clear time trends were observed for the non-BCHyPy PAHs varying from 39 to 34 µg g-1 in treated soils, not significantly different from control soils. However, the concentrations of extractable PAHs increased markedly in the amended soils, and decreased with time from 153 to 78 ng g-1 remaining always higher than those in untreated soil. The extent of the BCHyPy loss was more compatible with physical rather than chemical processes

The effects of biochar and its combination with compost on lettuce (Lactuca sativa L.) growth, soil properties, and soil microbial activity and abundance

Impacts of biochar application in combination with organic fertilizer, such as compost, are not fully understood. In this study, we tested the effects of biochar amendment, compost addition, and their combination on lettuce plants grown in a soil poor in nutrients; soil microbiological, chemical, and physical characteristics were analyzed, together with plant growth and physiology. An initial screening was also done to evaluate the effect of biochar and compost toxicity, using cress plants and earthworms. Results showed that compost amendment had clear and positive effects on plant growth and yield and on soil chemical characteristics. However, we demonstrated that also the biochar alone stimulated lettuce leaves number and total biomass, improving soil total nitrogen and phosphorus contents, as well as total carbon, and enhancing related microbial communities. Nevertheless, combining biochar and compost, no positive synergic and summative effects were observed. Our results thus demonstrate that in a soil poor in nutrients the biochar alone could be effectively used to enhance soil fertility and plant growth and biomass yield. However, we can speculate that the combination of compost and biochar may enhance and sustain soil biophysical and chemical characteristics and improve crop productivity over time