Follow up of GW170817 and its electromagnetic counterpart by Australian-led observing programmes

The discovery of the first electromagnetic counterpart to a gravitational wave signal has generated follow-up observations by over 50 facilities world-wide, ushering in the new era of multi-messenger astronomy. In this paper, we present follow-up observations of the gravitational wave event GW170817 and its electromagnetic counterpart SSS17a/DLT17ck (IAU label AT2017gfo) by 14 Australian telescopes and partner observatories as part of Australian-based and Australian-led research programs. We report early- to late-time multi-wavelength observations, including optical imaging and spectroscopy, mid-infrared imaging, radio imaging, and searches for fast radio bursts. Our optical spectra reveal that the transient source emission cooled from approximately 6 400 K to 2 100 K over a 7-d period and produced no significant optical emission lines. The spectral profiles, cooling rate, and photometric light curves are consistent with the expected outburst and subsequent processes of a binary neutron star merger. Star formation in the host galaxy probably ceased at least a Gyr ago, although there is evidence for a galaxy merger. Binary pulsars with short (100 Myr) decay times are therefore unlikely progenitors, but pulsars like PSR B1534+12 with its 2.7 Gyr coalescence time could produce such a merger. The displacement (~2.2 kpc) of the binary star system from the centre of the main galaxy is not unusual for stars in the host galaxy or stars originating in the merging galaxy, and therefore any constraints on the kick velocity imparted to the progenitor are poor

National Aures Observatory: A new multimessenger facility

International audienceAlgeria has taken upon itself to build a new astronomical observatory in the Aliness region in the Aures Mountains in Eastern Algeria to serve the aspirations of the Algerian astronomical community and also to open up for international projects. This Observatory will be mainly dedicated to multimessenger astronomy and the study of transient astronomical phenomena (optical counterparts of gravitational waves, GRBs, asteroid tracking, …), but it will also have other secondary objectives such as the study of early phases of super novae, Space Situational Awareness like surveillance programs, variable stars, exoplanets … In this paper, we describe the main scientific objectives of the National Aures Observatory as well as the rational for the choice of the Aliness region as the main candidate site for setting up the observatory. We will also present statistical cloud coverage from the analysis of EUMETSAT cloud data and will conclude with the present statute of the Observatory and the different stages for its constructio

Modelling human health risks from pesticide use in innovative legume-cereal intercropping systems in Mediterranean conditions

Background: The adoption of innovative cropping systems with low pesticide inputs would reduce environmental degradation and dependency on the use of plant protection products. Evaluating the pesticide risk to human health is a growing concern in the assessment of the sustainability of cropping practices. The assessment of human health risks linked to pesticide use in either conventional or innovative cropping systems is poorly documented in the literature. Objectives: This study focused on the assessment of pesticide exposure and human health risks from pesticide use in arable cropping systems (two monoculture and one intercropping system) associated with the use of various tillage practices (conventional tillage, reduced tillage, and no tillage). Methods: Human exposure (operators and residents) and health risks from pesticide use were assessed and compared between three conventional and six innovative cropping systems. We used the previously published BROWSE (Bystanders, Residents, Operators, and WorkerS Exposure) model based on data collected from interviews with the farmers and expert knowledge to compare the human health risk from pesticide use in the Setif area. Environmental conditions and the physical characteristics of the farmers were collected on three different farms from 2019 to 2021. Results: The modelling results demonstrate that human exposure to pesticides was systematically high under conservation tillage (no or reduced tillage) and monoculture cropping (pea and barley) conditions. It was also confirmed that operators experienced the highest cumulated exposure to pesticides (56 mg kg−1 bw day−1), followed by resident children seven days after pesticide application (0.66 mg kg−1 bw day−1). BROWSE simulations showed that dermal absorption was the most dominant route and represented more than 98% of the total amount of pesticides applied in all cropping × tillage system combinations. Regarding the overall results of the simulated human health risk, barley-pea intercropping was the most interesting system to reduce the risks for both operators and residents for all tillage practices. In addition, intercropping combined with conventional tillage was the most sustainable cropping system in terms of both agronomic performance (crop yield, Land Equivalent Ratio) and human health risk. Furthermore, the availability of advanced crop protection equipment was associated with a significant decrease in exposure and human health risk for both operators and residents. Conclusions: The prediction of human health risks using BROWSE could help farmers to make the decision to adopt conventional barley-pea intercropping as a good alternative to barley monocultures and pea monocultures under conservation tillage. © 2022 The Author

Understanding the Response of Wheat-Chickpea Intercropping to Nitrogen Fertilization Using Agro-Ecological Competitive Indices under Contrasting Pedoclimatic Conditions

Wheat-chickpea intercrops are not well studied, despite the importance of these two species in increasing agricultural profitability and ensuring nutritional and food security. The present study aims to assess the intercropping arable system's services under contrasting field management and climate conditions. Simultaneously, this assessment focuses on the most agronomic and ecological indices widely used in the literature. Durum wheat (Triticum turgidum durum L.cv. VITRON) and chickpea (Cicer arietinum L.cv. FLIP 90/13 C) were cultivated, both in sole crop and intercrop during the 2018/2019 growing season. A field experiment was carried out under controlled conditions at three contrasting pedoclimatic sites and under three levels of N fertilization. Both grain and N yield of mixture crop were significantly higher (+11%) when chickpea and durum wheat were grown together under either low or moderate N application. Soil N availability as compared to the critical level increased by more than 19% from flowering to harvest stage for intercropped wheat under low N application (N-30 and N-60), while it decreased significantly for intercropped chickpea. In rich N soils and under low rainfall conditions (site 1 and 3), intercropping was generally more advantageous for yield (+14%), N yield (+23%), and land use (103 and 119.5% for grain and N yield, respectively) only with reduced N fertilization as assessed using both land equivalent ratio (LER) and land-use efficiency (LUE). Competition dominance was directly affected by changes in climatic conditions over sites; intercropped wheat was more competitive than their respective chickpea under low rainfall conditions. These findings illustrate the crucial role of competitive index assessment in intercropping to promise a robust method for crop N and yield diagnosis during fertilization decision-making

The first calibration and evaluation of the STICS soil-crop model on chickpea-based intercropping system under Mediterranean conditions

Soil-crop models are widely used as valuable tools to assess the combined effects of cropping practices, soil management and climate on the agro-environmental indicators. They provide a wide range of predictive information that are useful to design and evaluate innovative cropping systems. However, intercropping modeling is still under development, especially for grain legumes-based intercropping system. We performed here the first calibration of the STICS (v 9.2) model on chickpea grown under contrasting nitrogen (N) levels during two copping seasons (2018/2019 and 2019/2020). This calibration allowed us to simulate a wide range of agronomic scenarios (climate, N-fertilization and cropping system) to optimize intercrops (durum wheat-chickpea) management. 37 parameters were estimated by using a sequential optimization method. Our results showed that STICS performs well in predicting Leaf Area Index (LAI), above ground biomass (AGB) and N uptake (AGPN) for both intercropped and sole cropped species, with satisfactory model efficiency (EF ranged from 0.62 to 0.93). In addition, grain yield was correctly predicted by the model with small error (NRMSE≤13%) especially for wheat crop (EF≥0.50), while it was less correctly predicted for chickpea crop (EF≤0.24 and NRMSE≤21%). STICS predicted well root depth under the conditions of our field study (EF ≥ 0.65 and NRMSE ≤ 37%). For soil outputs variables, the model simulated adequately soil water content with a satisfactory model efficiency (EF ≥ 0.65) and low relative error (NRMSE ≤. 8.8%) especially for sole cropped and intercropped chickpea. The soil N stocks were less adequately predicted (EF ≤ 0.28) with high relative error (NRMSE ≥ 56%) in sole cropping system, while it was moderately adequately predicted (EF ≤ 0.44) in intercropping. Under the two contrasted years and N-application conditions of this study, the temporal dynamic was well reproduced by the model for both plant and soil outputs with low simulation errors. RMSE values were lesser than 0.6 m2m-2 (9%), 0.2 t ha-1 (14%) and 30 kg ha-1 (12%), respectively for LAI, grain yield and AGPN of sole cropped chickpea. The dynamic of soil water content was also well reproduced among all N-application rate and during the two cropping year, with RMSE equal to 27 mm (<10%). The present work provides the first calibration for chickpea sole crop and an evaluation for durum wheat-chickpea intercrops, which will allow to use the STICS model to simulate scenarios of innovative cropping practices based on crop diversification (i.e. grain legumes and cereals) and N-fertilization management. © 2021 Elsevier B.V

Collagenase Clostridium histolyticum in patients with Dupuytren's contracture: results from POINT X, an open-label study of clinical and patient-reported outcomes.

In POINT X, a study designed to reflect clinical practice and patient treatment choices, 254 European patients received open-label collagenase for Dupuytren's contracture. The most severely affected joint was treated first in 74% of patients. In total, 52%, 41%, 7%, and 1% of patients selected the little, ring, middle, and index finger, respectively; 79% had one or two joints treated. Only 9% of patients (n = 24) received 4 or 5 injections. The mean improvement in total passive extension deficit (TPED) was 34 degrees on day 1, improving further by day 7 to 42 degrees. This secondary improvement was maintained by day 90 and month 6. The mean number of injections/joint was 1.2 for the metacarpophalangeal joint and 1.25 for the proximal interphalangeal joint. Median time to recovery was 4 days; the mean improvement in hand function was clinically relevant as measured by the Unite Rhumatologique des Affections de la Main (URAM) score. In total, 87% and 86% of patients and physicians, respectively, were very satisfied or satisfied with treatment at month 6, although correlation between TPED and patient satisfaction was weak (Spearman -0.18, 95% CI -0.32 to -0.06). Collagenase was well tolerated, with 10 (3.9%) patients experiencing severe adverse events. As a real-world study, the POINT X findings can be generalized to the at-large population

Solar FLAG hare and hounds: on the extraction of rotational p-mode splittings from seismic, Sun-as-a-star data

We report on results from the first solar Fitting at Low-Angular degree Group (solar FLAG) hare-and-hounds exercise. The group is concerned with the development of methods for extracting the parameters of low-l solar p-mode data ('peak bagging'), collected by Sun-as-a-star observations. Accurate and precise estimation of the fundamental parameters of the p modes is a vital pre-requisite of all subsequent studies. Nine members of the FLAG (the 'hounds') fitted an artificial 3456-d data set. The data set was made by the 'hare' (WJC) to simulate full-disc Doppler velocity observations of the Sun. The rotational frequency splittings of the l = 1, 2 and 3 modes were the first parameter estimates chosen for scrutiny. Significant differences were uncovered at l = 2 and 3 between the fitted splittings of the hounds. Evidence is presented that suggests this unwanted bias had its origins in several effects. The most important came from the different way in which the hounds modelled the visibility ratio of the different rotationally split components. Our results suggest that accurate modelling of the ratios is vital to avoid the introduction of significant bias in the estimated splittings. This is of importance not only for studies of the Sun, but also of the solar analogues that will be targets for asteroseismic campaigns