Oxia Planum: The Landing Site for the ExoMars “Rosalind Franklin” Rover Mission: Geological Context and Prelanding Interpretation

The European Space Agency (ESA) and Roscosmos ExoMars mission will launch the “Rosalind Franklin” rover in 2022 for a landing on Mars in 2023.The goals of the mission are to search for signs of past and present life on Mars, investigate the water/geochemical environment as a function of depth in the shallow subsurface, and characterize the surface environment. To meet these scientific objectives while minimizing the risk for landing, a 5-year-long landing site selection process was conducted by ESA, during which eight candidate sites were down selected to one: Oxia Planum. Oxia Planum is a 200 km-wide low-relief terrain characterized by hydrous clay-bearing bedrock units located at the southwest margin of Arabia Terra. This region exhibits Noachian-aged terrains. We show in this study that the selected landing site has recorded at least two distinct aqueous environments, both of which occurred during the Noachian: (1) a first phase that led to the deposition and alteration of ∼100 m of layered clay-rich deposits and (2) a second phase of a fluviodeltaic system that postdates the widespread clay-rich layered unit. Rounded isolated buttes that overlie the clay-bearing unit may also be related to aqueous processes. Our study also details the formation of an unaltered mafic-rich dark resistant unit likely of Amazonian age that caps the other units and possibly originated from volcanism. Oxia Planum shows evidence for intense erosion from morphology (inverted features) and crater statistics. Due to these erosional processes, two types of Noachian sedimentary rocks are currently exposed. We also expect rocks at the surface to have been exposed to cosmic bombardment only recently, minimizing organic matter damage

Non-occlusive Small Bowel Ischemia Related to Postoperative Feeding Jejunostomy Tube Use After Esophagectomy for Cancer: Propensity Score Analysis of the AFC-FREGAT Database

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Surgically treated oesophageal cancer developed in a radiated field: Impact on peri-operative and long-term outcomes

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Impact of Neoadjuvant Chemoradiotherapy on Postoperative Outcomes After Esophageal Cancer Resection

International audienceObjectives: To assess the impact of neoadjuvant chemoradiotherapy (NCRT) on anastomotic leakage (AL) and other postoperative outcomes after esophageal cancer (EC) resection.Background: Conflicting data have emerged from randomized studies regarding the impact of NCRT on AL.Methods: Among 2944 consecutive patients operated on for EC between 2000 and 2010 in 30 European centers, patients treated by NCRT after surgery (n = 593) were compared with those treated by primary surgery (n = 1487). Multivariable analyses and propensity score matching were used to compensate for the differences in some baseline characteristics.Results: Patients in the NCRT group were younger, with a higher prevalence of male sex, malnutrition, advanced tumor stage, squamous cell carcinoma, and surgery after 2005 when compared with the primary surgery group. Postoperative AL rates were 8.8% versus 10.6% (P = 0.220), and 90-day postoperative mortality and morbidity rates were 9.3% versus 7.2% (P = 0.110) and 33.4% versus 32.1% (P = 0.564), respectively. Pulmonary complication rates did not differ between groups (24.6% vs 22.5%; P = 0.291), whereas chylothorax (2.5% vs 1.2%; P = 0.020), cardiovascular complications (8.6% vs 0.1%; P = 0.037), and thromboembolic events (8.6% vs 6.0%; P = 0.037) were higher in the NCRT group. After propensity score matching, AL rates were 8.8% versus 11.3% (P = 0.228), with more chylothorax (2.5% vs 0.7%; P = 0.030) and trend toward more cardiovascular and thromboembolic events in the NCRT group (P = 0.069). Predictors of AL were high American Society of Anesthesiologists scores, supracarinal tumoral location, and cervical anastomosis, but not NCRT.Conclusions: Neoadjuvant chemoradiotherapy does not have an impact on the AL rate after EC resection (NCT 01927016)

Role of neoadjuvant treatment in clinical T2N0M0 oesophageal cancer: results from a retrospective multi-center European study

International audienceAims: The aims of this study were to compare short-and long-term outcomes for clinical T2N0 oesophageal cancer with analysis of (i) primary surgery (S) versus neoadjuvant therapy plus surgery (NS), (ii) squamous cell carcinoma and adenocarcinoma subsets; and (iii) neoadjuvant chemoradiotherapy versus neoadjuvant chemotherapy.Methods: Data were collected from 30 European centres from 2000 to 2010. Among 2944 included patients, 355 patients (12.1%) had cT2N0 disease; 285 (S) and 70 (NS), were compared in terms of short-and long-term outcomes. Propensity score matching analyses were used to compensate for differences in baseline characteristics.Results: No significant differences between the groups were shown in terms of in hospital morbidity and mortality. Nodal disease was observed in 50% of S-group at the time of surgery, with 20% pN2/N3. Utilisation of neoadjuvant therapy was associated with significant tumour downstaging as reflected by increases in pT0, pN0 and pTNM stage 0 disease, this effect was further enhanced with neoadjuvant chemoradiotherapy. After adjustment on propensity score and confounding factors, for all patients and subset analysis of squamous cell and adenocarcinoma, neoadjuvant therapy had no significant effect upon survival or recurrence (overall, loco-regional, distant or mixed) compared to surgery alone. There were no significant differences between neoadjuvant chemotherapy and chemoradiotherapy in short-or long-term outcomes.Conclusion: The results of this study suggest that a surgery alone treatment approach should be recommended as the primary treatment approach for cT2N0 oesophageal cancer despite 50% of patients having nodal disease at the time of surgery

Incidence and Risk Factors Related to Symptomatic Venous Thromboembolic Events After Esophagectomy for Cancer

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Performance of a proposed event-type based analysis for the Cherenkov Telescope Array

The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. Classically, data analysis in the field maximizes sensitivity by applying quality cuts on the data acquired. These cuts, optimized using Monte Carlo simulations, select higher quality events from the initial dataset. Subsequent steps of the analysis typically use the surviving events to calculate one set of instrument response functions (IRFs). An alternative approach is the use of event types, as implemented in experiments such as the Fermi-LAT. In this approach, events are divided into sub-samples based on their reconstruction quality, and a set of IRFs is calculated for each sub-sample. The sub-samples are then combined in a joint analysis, treating them as independent observations. This leads to an improvement in performance parameters such as sensitivity, angular and energy resolution. Data loss is reduced since lower quality events are included in the analysis as well, rather than discarded. In this study, machine learning methods will be used to classify events according to their expected angular reconstruction quality. We will report the impact on CTA high-level performance when applying such an event-type classification, compared to the classical procedure