IAS-LAB PUBLICATIONS
Identification and management of gastrointestinal manifestations of hereditary transthyretin amyloidosis: Recommendations from an Italian group of experts
Authors: Cappello Maria; Barbara Giovanni; Bellini Massimo; Consalvo Danilo; Di Sabatino Antonio; Marasco Giovanni; Principi Mariabeatrice; Savarino Edoardo Vincenzo; Tortora Annalisa; Obici Laura
Journal: DIGESTIVE AND LIVER DISEASE
Published: 2024
DOI: 10.1016/j.dld.2023.11.025
Gastrointestinal manifestations are common across all hereditary transthyretin amyloidosis (ATTRv) genotypes. However, they are poorly specific, and their recognition as part of ATTRv is difficult, resulting in misdiagnosis with more common conditions. Moreover, delays in diagnosis occur because of fragmented knowledge, a shortage of centers of excellence and specialists dedicated to ATTRv management, and the scarce involvement of gastroenterologists in multidisciplinary teams. A group of Italian gastroenterologists with experience in the management of ATTRv took part in a project aimed at assessing the awareness of ATTRv among the community of Italian gastroenterologists through an online survey and providing education about practical aspects of ATTRv management. Survey results reported low participation, and very few patients with ATTRv were cared for by gastroenterologists. This highlights the need for greater attention to rare diseases in gastroenterology and emphasizes increasing awareness of ATTRv and diagnostic suspicion. Based on the experts’ recommendations, a diagnosis of ATTRv should be suspected when at least one of the ‘red flags’ is detected. Subsequently, it is suggested to promptly ask for genetic testing and exclude a serum and urinary monoclonal protein, even before the detection of amyloid in biopsy samples, particularly in non-endemic areas.
Volume: 56 Pages: 1014-1020
Keywords: Gastroenterologists; Gastrointestinal manifestations; Hereditary transthyretin amyloidosis; Patients management;
REDISCOVER guidelines for borderline-resectable and locally advanced pancreatic cancer: management algorithm, unanswered questions, and future perspectives
Authors: Boggi Ugo; Kauffmann Emanuele F.; Napoli Niccolo; Barreto S. George; Besselink Marc G.; Fusai Giuseppe K.; Hackert Thilo; Hilal Mohammad Abu; Marchegiani Giovanni; Salvia Roberto; Shrikhande Shailesh V.; Truty Mark; Werner Jens; Wolfgang Christopher; Bannone Elisa; Capretti Giovanni; Cattelani Alice; Coppola Alessandro; Cucchetti Alessandro; De Sio Davide; Di Dato Armando; Di Meo Giovanna; Fiorillo Claudio; Gianfaldoni Cesare; Ginesini Michael; Salinas Camila Hidalgo; Lai Quirino; Miccoli Mario; Montorsi Roberto; Pagnanelli Michele; Poli Andrea; Ricci Claudio; Sucameli Francesco; Tamburrino Domenico; Viti Virginia; Cameron John; Clavien Pierre-Alain; Asbun Horacio J.
Journal: UPDATES IN SURGERY
Published: 2024
DOI: 10.1007/s13304-024-01860-0
The REDISCOVER guidelines present 34 recommendations for the selection and perioperative care of borderline-resectable (BR-PDAC) and locally advanced ductal adenocarcinoma of the pancreas (LA-PDAC). These guidelines represent a significant shift from previous approaches, prioritizing tumor biology over anatomical features as the primary indication for resection. Condensed herein, they provide a practical management algorithm for clinical practice. However, the guidelines also highlight the need to redefine LA-PDAC to align with modern treatment strategies and to solve some contradictions within the current definition, such as grouping “difficult” and “impossible” to resect tumors together. Furthermore, the REDISCOVER guidelines highlight several areas requiring urgent research. These include the resection of the superior mesenteric artery, the management strategies for patients with LA-PDAC who are fit for surgery but unable to receive multi-agent neoadjuvant chemotherapy, the approach to patients with LA-PDAC who are fit for surgery but demonstrate high serum Ca 19.9 levels even after neoadjuvant treatment, and the optimal timing and number of chemotherapy cycles prior to surgery. Additionally, the role of primary chemoradiotherapy versus chemotherapy alone in LA-PDAC, the timing of surgical resection post-neoadjuvant/primary chemoradiotherapy, the efficacy of ablation therapies, and the management of oligometastasis in patients with LA-PDAC warrant investigation. Given the limited evidence for many issues, refining existing management strategies is imperative. The establishment of the REDISCOVER registry (https://rediscover.unipi.it/) offers promise of a unified research platform to advance understanding and improve the management of BR-PDAC and LA-PDAC.
Volume: 76 Pages: 1573-1591
Keywords: Borderline resectable pancreatic cancer; Locally advanced pancreatic cancer; Pancreatic cancer; Pancreatic ductal adenocarcinoma; REDISCOVER guidelines; REDISCOVER registry;
Achievement of the Planetary Defense Investigations of the Double Asteroid Redirection Test (DART) Mission
Authors: Non assegn; AREA MIN. 02 - Scienze fisiche; F-5384-2015; B-7744-2016; DWU-0981-2022; I-7475-2015; EUN-3723-2022; JCE-4157-2023; F-4568-2015; DUL-6195-2022; I-4902-2012; P-6476-2015; KJX-6126-2024; EGN-9415-2022; HZI-2517-2023; FZZ-0535-2022; CFS-3628-2022; DUQ-2065-2022; FWP-2241-2022; DWC-8215-2022; ENM-7589-2022; DUS-5063-2022; DYP-6030-2022; CGI-5276-2022; CHK-3371-2022; L-2809-2014; ERJ-3840-2022; CLQ-1568-2022; FZX-2971-2022; DVC-6323-2022; A-9759-2012; GCQ-2889-2022; ESD-3744-2022; HKN-4630-2023; AAE-4731-2021; GAH-5074-2022; ETP-7102-2022; I-7600-2019; CPF-1617-2022; HMH-0787-2023; CRR-1479-2022; AAA-2353-2022; FAQ-9880-2022; IKY-6979-2023; GCO-0885-2022; C-7408-2009; GAV-5007-2022; CTM-4947-2022; AAN-2497-2020; CUU-8183-2022; AAE-3317-2019; HGD-4524-2022; FEG-0617-2022; HOC-6285-2023; MXW-9905-2025; GFF-8225-2022; AAS-8419-2020; DWK-7498-2022; GEF-5844-2022; DWN-9574-2022; GDG-3402-2022; AAD-7477-2019; MKD-3733-2025; N-3342-2017; GDC-8791-2022; HGV-4184-2022; FJY-5851-2022; CAH-0607-2022; GCR-3394-2022; HLS-6942-2023; DWP-0733-2022; DGT-7547-2022; FPN-6861-2022; JCM-2837-2023; DXB-9039-2022; HJT-9993-2023; H-7598-2015; DHC-3887-2022; HVG-0088-2023; HOU-2652-2023; IOH-3213-2023; AAD-7502-2021; DKA-6609-2022; DYN-1984-2022; IFG-8963-2023; GGB-5197-2022; ITI-9672-2023; KBX-4985-2024; DKV-6264-2022; N-5574-2018; ISQ-0634-2023; DJU-6140-2022; LLK-9641-2024; AAB-9862-2020; GEJ-2784-2022; C-4886-2012; FRS-0592-2022; DLC-1181-2022; AAE-2695-2019; HLR-3780-2023; D-5451-2009; AAN-6859-2020; ABH-3584-2020; D-4408-2016; DXS-7883-2022; GFV-3208-2022; GEK-0683-2022; DOA-6738-2022; DQU-6662-2022; F-9818-2010; HOH-8322-2023; DXP-2958-2022; H-4331-2014; GDD-3436-2022; GHN-5264-2022; GGN-2463-2022; DZG-6397-2022; DXK-7832-2022; DYG-8839-2022; AAO-5357-2020; GGW-7139-2022; JJA-5957-2023; HKN-0500-2023; ECF-0014-2022; KJU-2332-2024; IRG-2498-2023; GHZ-1676-2022; GHK-8431-2022; HQX-5213-2023; AAC-4090-2021; EIW-4893-2022; THE PLANETARY SCIENCE JOURNAL###2632-3338; 6602709696; 7004387103; 7402075077; 36879186600; 8889756900; 55976970100; 23995780300; 23020214400; 8889572200; 55653169200; 7003564619; 6504168821; 6701831440; 23989081200; 25636752900; 7003331332; 57216933235; 15318992700; 57372292200; 21742053200; 55471974400; 7003840024; 12646981500; 6507880013; 7005796499; 55667311100; 55669241300; 6507398813; 23990264300; 57194858670; 58947053800; 35768999900; 23033575800; 7004640341; 57204549732; 57981671400; 55794016100; 57211204601; 57214791438; 57211201728; 6603871165; 8709470100; 56151375800; 7403568426; 54792832100; 37072319500; 36971779000; 55826845600; 23667620600; 56365949500; 56452875500; 57226239533; 6603183231; 24823039400; 56152199100; 15842178900; 6602146227; 57193622827; 7003558156; 54986185400; 7006528435; 57203736332; 57203483831; 57807063200; 55920339500; 55597712400; 57191983696; 57214806320; 8124291100; 35264616900; 57222010400; 58546708400; 57224175127; 24314530700; 25228880800; 8305008500; 58106278400; 16319102800; 7202722559; 35847784700; 58022407500; 36701832200; 7004189587; 57216737338; 55793609900; 6701471393; 7402122795; 54883873200; 57208049670; 35313993500; 57191543864; 57126461000; 56581462300; 58832424000; 16425814400; 57223042701; 6701543350; 57208445497; 7101629970; 57046074400; 57196036549; 55493499600; 57193890858; 26667941200; 36127661200; 7201792855; 25652131500; 57198080053; 55363897600; 7005844037; 6507901990; 57191593736; 56287163900; 55312204000; 7003550997; 15847033800; 12647223300; 7004318097; 56207622400; 57751896900; 7004011265; 58852699200; 35785529800; 58192237300; 7405588384; 58947274400; 23992006400; 55397558400; 56532154900
Journal: PLANETARY SCIENCE JOURNAL
Published: 2024
DOI: 10.3847/PSJ/ad16e6
NASA’s Double Asteroid Redirection Test (DART) mission was the first to demonstrate asteroid deflection, and the mission’s Level 1 requirements guided its planetary defense investigations. Here, we summarize DART’s achievement of those requirements. On 2022 September 26, the DART spacecraft impacted Dimorphos, the secondary member of the Didymos near-Earth asteroid binary system, demonstrating an autonomously navigated kinetic impact into an asteroid with limited prior knowledge for planetary defense. Months of subsequent Earth-based observations showed that the binary orbital period was changed by –33.24 minutes, with two independent analysis methods each reporting a 1σ uncertainty of 1.4 s. Dynamical models determined that the momentum enhancement factor, β, resulting from DART’s kinetic impact test is between 2.4 and 4.9, depending on the mass of Dimorphos, which remains the largest source of uncertainty. Over five dozen telescopes across the globe and in space, along with the Light Italian CubeSat for Imaging of Asteroids, have contributed to DART’s investigations. These combined investigations have addressed topics related to the ejecta, dynamics, impact event, and properties of both asteroids in the binary system. A year following DART’s successful impact into Dimorphos, the mission has achieved its planetary defense requirements, although work to further understand DART’s kinetic impact test and the Didymos system will continue. In particular, ESA’s Hera mission is planned to perform extensive measurements in 2027 during its rendezvous with the Didymos–Dimorphos system, building on DART to advance our knowledge and continue the ongoing international collaboration for planetary defense.
Volume: 5
Elotuzumab plus pomalidomide and dexamethasone in relapsed/refractory multiple myeloma: a multicenter, retrospective, real-world experience with 200 cases outside of controlled clinical trials
Authors: Gentile Massimo; Vigna Ernesto; Palmieri Salvatore; Galli Monica; Derudas Daniele; Mina Roberto; Della Pepa Roberta; Zambello Renato; Martino Enrica Antonia; Bruzzese Antonella; Mangiacavalli Silvia; Zamagni Elena; Califano Catello; Musso Maurizio; Conticello Concetta; Cerchione Claudio; Mele Giuseppe; Di Renzo Nicola; Offidani Massimo; Tarantini Giuseppe; Margiotta Gloria; Rago Angela; Ria Roberto; Uccello Giuseppina; Barila Gregorio; Palumbo Gaetano; Pompa Alessandra; Vincelli Donatella; Brunori Marino; Accardi Fabrizio; Amico Valeria; Amendola Angela; Fontana Raffaele; Bongarzoni Velia; Rossini Bernardo; Cotzia Emilia; Gozzetti Alessandro; Rizzi Rita; Sgherza Nicola; Ferretti Eleonora; Bertuglia Giuseppe; Nappi Davide; Petrucci Teresa; Di Raimondo Francesco; Neri Antonino; Morabito Fortunato; Musto Pellegrino; Pepa Roberta Della; Renzo Nicola Di; Casaluci Gloria Margiotta; Barilà Gregorio; Petrucci Maria Teresa; Raimondo Francesco Di
Journal: HAEMATOLOGICA
Published: 2024
DOI: 10.3324/haematol.2023.283251
In the ELOQUENT-3 trial, the combination of elotuzumab, pomalidomide and dexamethasone (EloPd) proved to have a superior clinical benefit over pomalidomide and dexamethasone with a manageable toxicity profile, leading to its approval for the treatment of patients with relapsed/refractory multiple myeloma (RRMM) who have received at least two prior therapies, including lenalidomide and a proteasome inhibitor. We report here a real-world experience of 200 cases of RRMM treated with EloPd in 35 Italian centers outside of clinical trials. In our dataset, the median number of prior lines of therapy was two, with 51% of cases undergoing autologous stem cell transplant and 73% having been exposed to daratumumab. After a median follow-up of 9 months, 126 patients had stopped EloPd, most of them (88.9%) because of disease progression. The overall response rate was 55.4%, a finding in line with the pivotal trial results. Regarding adverse events, the toxicity profile in our cohort was similar to that in the ELOQUENT-3 trial, with no significant differences between younger (<70 years) and older patients. The median progression-free survival was 7 months, which was shorter than that observed in ELOQUENT-3, probably because of the different clinical characteristics of the two cohorts. Interestingly, International Staging System stage III disease was associated with worse progression-free survival (hazard ratio=2.55). Finally, the median overall survival of our series was shorter than that observed in the ELOQUENT-3 trial (17.5 vs. 29.8 months). In conclusion, our real-world study confirms that EloPd is a safe and possible therapeutic choice for patients with RRMM who have received at least two prior therapies, including lenalidomide and a proteasome inhibitor.
Volume: 109 Pages: 245-255
Real-World Outcome of Treatment with Single-Agent Ibrutinib in Italian Patients with Chronic Lymphocytic Leukemia: Final Results of the EVIdeNCE Study
Authors: Mauro Francesca Romana; Scalzulli Potito Rosario; Scarfo Lydia; Minoia Carla; Murru Roberta; Sportoletti Paolo; Frigeri Ferdinando; Albano Francesco; Di Renzo Nicola; Sanna Alessandro; Laurenti Luca; Massaia Massimo; Cassin Ramona; Coscia Marta; Patti Caterina; Pennese Elsa; Tafuri Agostino; Chiarenza Annalisa; Galieni Piero; Perbellini Omar; Selleri Carmine; Califano Catello; Ferrara Felicetto; Cuneo Antonio; Murineddu Marco; Palumbo Gaetano; Scortechini Ilaria; Tedeschi Alessandra; Trentin Livio; Varettoni Marzia; Pane Fabrizio; Liberati Anna Marina; Merli Francesco; Morello Lucia; Musuraca Gerardo; Tani Monica; Ibatici Adalberto; Regazzoni Giulia; Di Candia Michele; Palma Maria; Arienti Danilo; Molica Stefano; Scarfò Lydia
Journal: CANCERS
Published: 2024
Real-world data in clinical practice are needed to confirm the efficacy and safety that ibrutinib has demonstrated in clinical trials of patients with chronic lymphocytic leukemia (CLL). We described the real-world persistence rate, patterns of use, and clinical outcomes in 309 patients with CLL receiving single-agent ibrutinib in first line (1L, n = 118), 2L (n = 127) and ≥3L (n = 64) in the prospective, real-world, Italian EVIdeNCE study. After a median follow-up of 23.9 months, 29.8% of patients discontinued ibrutinib (1L: 24.6%, 2L: 29.9%, ≥3L: 39.1%), mainly owing to adverse events (AEs)/toxicity (14.2%). The most common AEs leading to discontinuation were infections (1L, ≥3L) and cardiac events (2L). The 2-year retention rate was 70.2% in the whole cohort (1L: 75.4%, 2L: 70.1%, ≥3L: 60.9%). The 2-year PFS and OS were, respectively, 85.4% and 91.7% in 1L, 80.0% and 86.2% in 2L, and 70.1% and 80.0% in ≥3L. Cardiovascular conditions did not impact patients’ clinical outcomes. The most common AEs were infections (30.7%), bleeding (12.9%), fatigue (10.0%), and neutropenia (9.7%), while grade 3–4 atrial fibrillation occurred in 3.9% of patients. No new safety signals were detected. These results strongly support ibrutinib as a valuable treatment option for CLL.
Volume: 16
Keywords: chronic lymphocytic leukemia; clinical outcomes; effectiveness; ibrutinib; real-world evidence; retention;
Euclid preparation LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods
Authors: AREA MIN. 02 - Scienze fisiche; ASTRONOMY & ASTROPHYSICS###0004-6361; AHB-3798-2022; HZW-5449-2023; ABC-8644-2021; M-4118-2013; ESO-2548-2022; CTE-6491-2022; EUO-2530-2022; HTJ-4919-2023; FII-8063-2022; DMD-3023-2022; O-9369-2015; HNI-9120-2023; KET-7578-2024; ERD-3189-2022; JJR-4529-2023; CTE-6775-2022; O-8727-2015; IAA-9930-2023; EAZ-0566-2022; EJM-8740-2022; EKN-8524-2022; FZO-1254-2022; JNB-8974-2023; CDR-2303-2022; CEY-5520-2022; HZQ-9553-2023; GNJ-2760-2022; EKV-4052-2022; CHO-3061-2022; HRV-6262-2023; JWI-9457-2024; M-2616-2015; AAG-7753-2020; GBO-0318-2022; E-2727-2014; FCH-5665-2022; MEO-0896-2025; E-8021-2017; IVA-4275-2023; JUX-7553-2023; HZM-8546-2023; HTG-8587-2023; H-8587-2015; HYV-3975-2023; DVC-6323-2022; B-4928-2015; GLO-1082-2022; LEQ-1557-2024; AGZ-3259-2022; A-2693-2010; EVT-3533-2022; HLX-2021-2023; KBZ-1983-2024; EUK-3820-2022; EVA-7948-2022; COQ-7299-2022; AAN-1331-2021; AAR-6622-2021; CQF-5798-2022; DTC-6068-2022; CQN-5681-2022; DXA-1952-2022; ITP-9423-2023; GAZ-3876-2022; GBB-1832-2022; ABF-7029-2021; DWK-1716-2022; CSK-3817-2022; FBF-5584-2022; FBE-0351-2022; S-8590-2017; CTZ-4163-2022; GBH-2365-2022; DWQ-9372-2022; GZL-0460-2022; B-8502-2016; DXH-0671-2022; FFG-2233-2022; CYT-5449-2022; GWA-7849-2022; KAK-4177-2024; MMW-5935-2025; HYH-6107-2023; A-2699-2012; GAU-7672-2022; KES-2001-2024; DWC-8789-2022; DWZ-6747-2022; DFQ-7859-2022; AAH-9937-2020; U-7309-2018; DZP-0372-2022; AAX-3485-2021; D-1300-2016; AAA-1489-2019; GNG-7078-2022; FNC-4379-2022; DFC-8070-2022; FLD-9518-2022; AAB-4321-2020; DVP-3997-2022; KEK-6332-2024; AAW-4410-2021; DWT-4779-2022; DZP-5216-2022; DJO-8166-2022; FNB-0821-2022; ABB-2322-2020; C-3218-2017; IHG-7220-2023; DLB-6897-2022; LQR-6354-2024; IVG-7504-2023; FSY-2184-2022; DMX-5934-2022; DNY-0415-2022; AAR-4345-2020; K-4114-2015; DMK-3227-2022; DNX-4243-2022; DXL-4304-2022; GCA-5113-2022; GCT-2940-2022; DXO-8435-2022; FXS-9180-2022; H-1761-2016; FWB-8386-2022; JWG-7083-2024; KEH-2569-2024; IZJ-2041-2023; IYS-3498-2023; GBY-3944-2022; GWX-9207-2022; HRO-4465-2023; J-5067-2012; EAA-4768-2022; LGB-5701-2024; KFZ-7504-2024; L-8068-2014; CFK-7257-2022; AAD-9424-2020; DYX-1855-2022; Q-2220-2015; KJV-8369-2024; AAB-2503-2019; GCB-5227-2022; HNI-8187-2023; ECZ-6053-2022; FCD-8153-2022; JCG-3503-2023; Q-6715-2019; ABD-6783-2021; HWF-6506-2023; AAO-6325-2021; CFJ-9437-2022; KBV-9584-2024; HLH-1501-2023; CDE-1189-2022; GBY-6621-2022; B-8712-2017; CDL-9258-2022; GGM-6223-2022; JCV-3612-2023; JMK-1133-2023; P-2194-2018; DYK-4428-2022; ECX-7840-2022; AAH-3743-2019; LQU-9368-2024; FXV-4290-2022; AAZ-4907-2020; FXV-9040-2022; JHC-4470-2023; HIV-4758-2022; CHK-6722-2022; KTI-3074-2024; CGZ-3153-2022; EPI-1133-2022; AFR-7693-2022; GBB-5111-2022; HZX-4069-2023; KDL-3231-2024; S-1204-2016; HOH-0341-2023; FXV-1704-2022; AAQ-1509-2021; ISJ-4889-2023; EQT-2114-2022; HTC-1442-2023; CMX-4174-2022; CNT-5485-2022; JHG-8097-2023; L-6378-2014; IDQ-0489-2023; AAW-1061-2020; IRC-9695-2023; LHW-0970-2024; FYF-0438-2022; GBD-4336-2022; CQO-1461-2022; EVC-7104-2022; CRZ-8120-2022; C-2920-2017; LQP-9751-2024; L-4894-2014; DWN-8747-2022; EXI-9841-2022; ABB-8257-2020; FYF-4621-2022; JOL-7661-2023; JZW-7667-2024; M-5787-2014; FNH-4408-2022; MGT-4091-2025; AAH-9962-2019; ITW-2356-2023; GEC-5455-2022; HRX-7202-2023; GYG-7175-2022; DVZ-8147-2022; IZP-8032-2023; IMW-2405-2023; GQU-8893-2022; KND-8351-2024; GAH-7057-2022; DWN-4354-2022; KEZ-0532-2024; AAC-2261-2020; DGC-7489-2022; GFP-2203-2022; D-1237-2017; Z-3406-2019; CCM-1771-2022; AAI-1245-2021; EFP-8485-2022; HRS-4550-2023; V-1081-2019; GCY-0967-2022; LQA-8898-2024; DWT-7233-2022; N-7951-2019; KLA-2278-2024; HFZ-5586-2022; INY-7970-2023; JCM-8241-2023; JAN-6167-2023; EAO-6360-2022; MLN-0990-2025; MLR-9932-2025; GDF-8239-2022; EBV-8310-2022; JEZ-2766-2023; DHY-6302-2022; CDU-7975-2022; JSZ-6163-2023; ECF-2024-2022; A-9058-2016; Z-3026-2019; IOX-4199-2023; AAW-3335-2020; GFN-6689-2022; AAO-5488-2020; 57200793436; 6602409206; 8842216700; 56276774200; 57330640700; 24279354600; 6506323808; 57203234808; 58003218200; 56993656500; 57225389323; 56426999100; 54924573500; 6602521535; 57201692391; 9270789600; 35957375500; 55929371000; 8042894900; 6701390827; 6701409861; 14629998500; 56176939800; 8651648800; 57220414927; 24482926400; 7102960752; 6506892241; 6602293713; 6701447926; 7004168457; 7004279376; 35117442400; 56592859600; 8316050500; 57193414472; 57090221700; 7004614794; 24439181000; 55948641800; 56260193000; 55543336500; 37121732700; 7003910265; 6507398813; 55757270100; 56018146100; 8856476200; 24069757200; 26663174300; 6603213706; 7006071419; 57212263363; 6601991850; 6602678698; 24461026200; 56181792800; 57200514857; 9639653200; 6701688696; 36627225700; 6506341877; 56592156500; 24173378000; 14630273900; 36657273100; 8527480900; 14008117700; 6603519641; 7202555066; 7006022077; 16024707000; 6603380199; 55539553700; 23485209600; 55885669700; 35227493200; 37123976000; 55578049300; 56216916000; 7102120605; 6603602446; 6603205767; 6603770482; 56403356600; 36195926600; 10239419900; 14025617800; 6506385309; 36933808800; 56463558800; 55779479900; 13407562800; 7102174334; 8058520300; 14056466700; 7102846243; 36542679900; 55665939900; 7005525798; 14832846900; 7004208543; 35299820900; 7004629002; 55668172300; 35216145800; 14050522100; 56118600700; 58095754900; 55913343900; 57544565000; 57203250534; 6602930238; 57190439701; 7006538931; 6506955003; 36490343100; 55337191500; 7402364894; 57225899623; 57190443165; 8915699600; 6603819159; 7004160690; 57219119015; 15129157800; 57218941481; 13407890400; 55174217600; 14063887300; 6506381727; 54797318800; 55845420026; 6602208520; 6602315420; 14823864100; 58502049600; 6701705322; 57220082325; 54790157700; 55414427600; 35314080800; 58937209900; 17436196900; 57203391123; 57191960842; 6602565951; 57191419742; 6603196124; 56286395400; 10244106400; 7101771030; 9333441800; 7004185737; 57189300153; 6603819488; 57198031424; 58621546100; 12809267200; 26326923900; 59146418100; 57220131178; 57203270249; 56512377200; 35194662000; 7003963996; 57203063840; 35387346400; 46461103400; 42260895600; 56818885600; 57194590572; 35789534500; 14820320500; 59421337500; 7006764136; 57214989073; 6602458029; 57193874792; 57219376526; 9337037600; 7103030457; 56653598400; 7007018277; 57216129429; 9335763100; 35112881300; 34569356300; 35072386500; 58127155500; 57199061795; 55976971800; 24074399500; 6701458135; 6602348000; 58112082700; 57189231035; 57218304683; 7003900144; 25723173900; 58073729200; 7004144883; 7003645652; 8703100100; 55944081300; 56242244500; 7005222927; 15131601400; 36674792500; 55505778800; 8833942900; 55741929700; 58617901800; 24399008600; 36966126400; 57218097629; 56153170500; 26642611400; 57892676500; 57213763435; 57210924350; 6508080858; 35490928600; 6701309093; 17346045900; 6701685211; 6603292899; 22951241500; 57845873200; 56383649900; 7101983827; 7006221760; 57218766355; 35422761600; 35463408300; 7003762062; 7101903552; 16031797900; 57222902516; 55672552800; 10642144300; 57201003368; 56186567400; 7005050491; 55435714500; 57194728774; 35417736300; 57211858405; 7102146471; 6603851717; 6701718244; 7004109829; 59800191100; 57132747000; 58483607200; 6504758580; 6506892358; 14632583100; 57215412075; 55158076000; 7003352706; 55033962000
Journal: ASTRONOMY & ASTROPHYSICS
Published: 2024
DOI: 10.1051/0004-6361/202451425
Euclid will collect an enormous amount of data during the mission’s lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting methods, numerous machine learning (ML) algorithms have been presented for computing their photometric redshifts and physical parameters (PPs), requiring significantly less computing effort while producing equivalent performance measures. However, their performance is limited by the quality and amount of input information entering the model (the features), to a level where the recovery of some well-established physical relationships between parameters might not be guaranteed – for example, the star-forming main sequence (SFMS). To forecast the reliability of Euclid photo-zs and PPs calculations, we produced two mock catalogs simulating the photometry with the UNIONS ugriz and Euclid filters. We simulated the Euclid Wide Survey (EWS) and Euclid Deep Fields (EDF), alongside two auxiliary fields. We tested the performance of a template-fitting algorithm (Phosphoros) and four ML methods in recovering photo-zs, PPs (stellar masses and star formation rates), and the SFMS on the simulated Euclid fields. To mimic the Euclid processing as closely as possible, the models were trained with Phosphoros-recovered labels and tested on the simulated ground truth. For the EWS, we found that the best results are achieved with a mixed labels approach, training the models with wide survey features and labels from the Phosphoros results on deeper photometry, that is, with the best possible set of labels for a given photometry. This imposes a prior to the input features, helping the models to better discern cases in degenerate regions of feature space, that is, when galaxies have similar magnitudes and colors but different redshifts and PPs, with performance metrics even better than those found with Phosphoros. We found no more than 3% performance degradation using a COSMOS-like reference sample or removing u band data, which will not be available until after data release DR1. The best results are obtained for the EDF, with appropriate recovery of photo-z, PPs, and the SFMS.
Volume: 691
Keywords: galaxies: evolution; galaxies: fundamental parameters; galaxies: general; methods: data analysis; surveys;
Fast boulder fracturing by thermal fatigue detected on stony asteroids
Authors: AREA MIN. 04 - Scienze della terra; Non assegn; CAH-0607-2022; DTE-5134-2022; GGB-5197-2022; I-7475-2015; N-5574-2018; DYK-8770-2022; IRG-2498-2023; D-5451-2009; GDY-4101-2022; I-4902-2012; P-6476-2015; DWP-0733-2022; CUU-8183-2022; AAB-9862-2020; KIB-5109-2024; L-2809-2014; DWM-7614-2022; F-5384-2015; KMG-9967-2024; AAD-7502-2021; DYC-8490-2022; IXG-5647-2023; B-7744-2016; GGW-7139-2022; C-1394-2008; ESD-3744-2022; CTM-4947-2022; JWM-0361-2024; ENM-7589-2022; FEG-0617-2022; D-4408-2016; IUW-8842-2023; HSU-8356-2023; HLR-3780-2023; DXS-2517-2022; FZR-5623-2022; GDE-9626-2022; AAJ-3985-2021; DWV-9440-2022; CLI-8081-2022; FZS-1398-2022; ELW-3927-2022; GQI-0218-2022; IUJ-6619-2023; GAK-4352-2022; GBU-1324-2022; DUL-3415-2022; CRR-1479-2022; GCU-8453-2022; GXO-5912-2022; GGD-2860-2022; LPQ-9326-2024; F-7967-2012; OVO-9219-2025; HOU-2652-2023; GDH-3986-2022; FRS-0592-2022; DKW-3609-2022; J-6191-2012; AAC-4090-2021; HNS-2166-2023; NATURE COMMUNICATIONS###2041-1723; 55597712400; 57191575202; 57216737338; 36879186600; 54883873200; 57191273517; 58192237300; 7101629970; 7003564619; 8889572200; 55533357700; 8124291100; 55826845600; 57126461000; 57202131090; 6507880013; 26642318000; 6602709696; 24314530700; 35847784700; 26325125800; 56152199100; 7004387103; 7004318097; 6701441418; 57074031000; 37072319500; 56365949500; 57372292200; 56452875500; 55493499600; 57981671400; 57204574408; 57208445497; 56719813100; 55449295000; 6701612015; 6602999700; 6504168821; 7402075077; 57194324508; 35464300000; 57193772368; 58765045200; 57561265700; 56240953900; 6602330014; 57214791438; 57194338209; 57222269830; 57205446071; 57200754980; 9744592800; 59740776200; 16319102800; 35313993500; 16425814400; 9741589500; 35785529800; 55397558400; 57214805190
Journal: NATURE COMMUNICATIONS
Published: 2024
DOI: 10.1038/s41467-024-50145-y
Spacecraft observations revealed that rocks on carbonaceous asteroids, which constitute the most numerous class by composition, can develop millimeter-to-meter-scale fractures due to thermal stresses. However, signatures of this process on the second-most populous group of asteroids, the S-complex, have been poorly constrained. Here, we report observations of boulders’ fractures on Dimorphos, which is the moonlet of the S-complex asteroid (65803) Didymos, the target of NASA’s Double Asteroid Redirection Test (DART) planetary defense mission. We show that the size-frequency distribution and orientation of the mapped fractures are consistent with formation through thermal fatigue. The fractures’ preferential orientation supports that these have originated in situ on Dimorphos boulders and not on Didymos boulders later transferred to Dimorphos. Based on our model of the fracture propagation, we propose that thermal fatigue on rocks exposed on the surface of S-type asteroids can form shallow, horizontally propagating fractures in much shorter timescales (100 kyr) than in the direction normal to the boulder surface (order of Myrs). The presence of boulder fields affected by thermal fracturing on near-Earth asteroid surfaces may contribute to an enhancement in the ejected mass and momentum from kinetic impactors when deflecting asteroids.
Volume: 15
Retrieval of the physical parameters of galaxies from WEAVE-StePS-like data using machine learning
Authors: Angthopo J.; Granett B. R.; La Barbera F.; Longhetti M.; Iovino A.; Fossati M.; Ditrani F. R.; Costantin L.; Zibetti S.; Gallazzi A.; Sanchez-Blazquez P.; Tortora C.; Spiniello C.; Poggianti B.; Vazdekis A.; Balcells M.; Bardelli S.; Benn C. R.; Bianconi M.; Bolzonella M.; Busarello G.; Cassara L. P.; Corsini E. M.; Cucciati O.; Dalton G.; Ferre-Mateu A.; Garcia-Benito R.; Gonzalez Delgado R. M.; Gafton E.; Gullieuszik M.; Haines C. P.; Iodice E.; Ikhsanova A.; Jin S.; Knapen J. H.; McGee S.; Mercurio A.; Merluzzi P.; Morelli L.; Moretti A.; Murphy D. N. A.; Pizzella A.; Pozzetti L.; Ragusa R.; Trager S. C.; Vergani D.; Vulcani B.; Talia M.; Zucca E.; Granett B.R.; Ditrani F.R.; Sánchez-Blázquez P.; Benn C.R.; Cassarà L.P.; Corsini E.M.; Ferré-Mateu A.; García-Benito R.; González Delgado R.M.; Haines C.P.; Knapen J.H.; Murphy D.N.A.; Trager S.C.
Journal: ASTRONOMY & ASTROPHYSICS
Published: 2024
DOI: 10.1051/0004-6361/202449979
Context. The William Herschel Telescope Enhanced Area Velocity Explorer (WEAVE) is a new, massively multiplexing spectrograph that allows us to collect about one thousand spectra over a 3 square degree field in one observation. The WEAVE Stellar Population Survey (WEAVE-StePS) in the next 5 years will exploit this new instrument to obtain high-S/N spectra for a magnitude-limited (IAB=20.5) sample of ∼ 25 000 galaxies at moderate redshifts (z≥0.3), providing insights into galaxy evolution in this as yet unexplored redshift range. Aims. We aim to test novel techniques for retrieving the key physical parameters of galaxies from WEAVE-StePS spectra using both photometric and spectroscopic (spectral indices) information for a range of noise levels and redshift values. Methods. We simulated ∼ 105 000 galaxy spectra assuming star formation histories with an exponentially declining star formation rate, covering a wide range of ages, stellar metallicities, specific star formation rates (sSFRs), and dust extinction values. We considered three redshifts (i.e. z=0.3, 0.55, and 0.7), covering the redshift range that WEAVE-StePS will observe. We then evaluated the ability of the random forest and K-nearest neighbour algorithms to correctly predict the average age, metallicity, sSFR, dust attenuation, and time since the bulk of formation, assuming no measurement errors. We also checked how much the predictive ability deteriorates for different noise levels, with S/NI,obs=10, 20, and 30, and at different redshifts. Finally, the retrieved sSFR was used to classify galaxies as part of the blue cloud, green valley, or red sequence. Results. We find that both the random forest and K-nearest neighbour algorithms accurately estimate the mass-weighted ages, u-band-weighted ages, and metallicities with low bias. The dispersion varies from 0.08-0.16 dex for age and 0.11-0.25 dex for metallicity, depending on the redshift and noise level. For dust attenuation, we find a similarly low bias and dispersion. For the sSFR, we find a very good constraining power for star-forming galaxies, log sSFR ≥-11, where the bias is ∼ 0.01 dex and the dispersion is ∼ 0.10 dex. However, for more quiescent galaxies, with log sSFR 11, we find a higher bias, ranging from 0.61 to 0.86 dex, and a higher dispersion, ∼ 0.4 dex, depending on the noise level and redshift. In general, we find that the random forest algorithm outperforms the K-nearest neighbours. Finally, we find that the classification of galaxies as members of the green valley is successful across the different redshifts and S/Ns. Conclusions. We demonstrate that machine learning algorithms can accurately estimate the physical parameters of simulated galaxies for a WEAVE-StePS-like dataset, even at relatively low S/NI, obs=10 per A spectra with available ancillary photometric information. A more traditional approach, Bayesian inference, yields comparable results. The main advantage of using a machine learning algorithm is that, once trained, it requires considerably less time than other methods.
Volume: 690
Keywords: Galaxies: evolution; Galaxies: formation; Galaxies: general; Galaxies: stellar content;
Evidence for multi-fragmentation and mass shedding of boulders on rubble-pile binary asteroid system (65803) Didymos
Authors: AREA MIN. 04 - Scienze della terra; Non assegn; N-5574-2018; IRG-2498-2023; CAH-0607-2022; I-7475-2015; DTE-5134-2022; I-4902-2012; GDY-4101-2022; P-6476-2015; KIB-5109-2024; CUU-8183-2022; GGB-5197-2022; DWP-0733-2022; F-5384-2015; DUL-3415-2022; B-7744-2016; FWP-2241-2022; LBX-7367-2024; FRX-6698-2022; DWM-7614-2022; FEG-0617-2022; AAD-7502-2021; D-4408-2016; ISN-4321-2023; JWM-0361-2024; DYC-8490-2022; IUW-8842-2023; HLR-3780-2023; L-2809-2014; AAB-9862-2020; IKC-8732-2023; DZR-5690-2022; IXG-5647-2023; L-3870-2014; GGW-7139-2022; GAH-5074-2022; AAC-9455-2020; ESD-3744-2022; CTM-4947-2022; ENM-7589-2022; DSA-9103-2022; DUQ-2065-2022; KMG-9967-2024; CLI-8081-2022; GDE-9626-2022; DWV-9440-2022; FZS-1398-2022; DKW-3609-2022; GGD-2860-2022; ELW-3927-2022; GQI-0218-2022; IUJ-6619-2023; LXA-6701-2024; GBU-1324-2022; AAJ-3985-2021; CRR-1479-2022; GCU-8453-2022; GXO-5912-2022; LPQ-9326-2024; F-7967-2012; OVO-9219-2025; HOU-2652-2023; GDH-3986-2022; FRS-0592-2022; J-6191-2012; EIE-8346-2022; HNS-2166-2023; NATURE COMMUNICATIONS###2041-1723; 54883873200; 58192237300; 55597712400; 36879186600; 57191575202; 8889572200; 7003564619; 55533357700; 57202131090; 55826845600; 57216737338; 8124291100; 6602709696; 6602330014; 7004387103; 57216933235; 56532154900; 57191273517; 26642318000; 56452875500; 35847784700; 55493499600; 58146735700; 56365949500; 26325125800; 57981671400; 57208445497; 6507880013; 57126461000; 25521409500; 7004011265; 56152199100; 6603389367; 7004318097; 7004640341; 6603765759; 57074031000; 37072319500; 57372292200; 55449295000; 7003331332; 24314530700; 7402075077; 6701612015; 6504168821; 57194324508; 9741589500; 57205446071; 35464300000; 57193772368; 58765045200; 57561265700; 56240953900; 6602999700; 57214791438; 57194338209; 57222269830; 57200754980; 9744592800; 59740776200; 16319102800; 35313993500; 16425814400; 35785529800; 55397558400; 57214805190
Journal: NATURE COMMUNICATIONS
Published: 2024
DOI: 10.1038/s41467-024-50148-9
Asteroids smaller than 10 km are thought to be rubble piles formed from the reaccumulation of fragments produced in the catastrophic disruption of parent bodies. Ground-based observations reveal that some of these asteroids are today binary systems, in which a smaller secondary orbits a larger primary asteroid. However, how these asteroids became binary systems remains unclear. Here, we report the analysis of boulders on the surface of the stony asteroid (65803) Didymos and its moonlet, Dimorphos, from data collected by the NASA DART mission. The size-frequency distribution of boulders larger than 5 m on Dimorphos and larger than 22.8 m on Didymos confirms that both asteroids are piles of fragments produced in the catastrophic disruption of their progenitors. Dimorphos boulders smaller than 5 m have size best-fit by a Weibull distribution, which we attribute to a multi-phase fragmentation process either occurring during coalescence or during surface evolution. The density per km2 of Dimorphos boulders ≥1 m is 2.3x with respect to the one obtained for (101955) Bennu, while it is 3.0x with respect to (162173) Ryugu. Such values increase once Dimorphos boulders ≥5 m are compared with Bennu (3.5x), Ryugu (3.9x) and (25143) Itokawa (5.1x). This is of interest in the context of asteroid studies because it means that contrarily to the single bodies visited so far, binary systems might be affected by subsequential fragmentation processes that largely increase their block density per km2. Direct comparison between the surface distribution and shapes of the boulders on Didymos and Dimorphos suggest that the latter inherited its material from the former. This finding supports the hypothesis that some asteroid binary systems form through the spin up and mass shedding of a fraction of the primary asteroid.
Volume: 15
The geology and evolution of the Near-Earth binary asteroid system (65803) Didymos
Authors: Non assegn; I-7475-2015; DWM-7614-2022; A-4098-2016; DYC-8490-2022; FWP-2241-2022; FZX-3337-2022; I-4902-2012; N-5574-2018; IRG-2498-2023; CAH-0607-2022; P-6476-2015; ISQ-0634-2023; DWR-7314-2022; HUL-9562-2023; GGW-7139-2022; ABH-3584-2020; GAH-5074-2022; JCE-4157-2023; AAB-9862-2020; AAD-7502-2021; ISN-4321-2023; EZE-7469-2022; PBY-5663-2025; AAC-9455-2020; HLR-3780-2023; GFF-8225-2022; LRD-7756-2024; CTM-4947-2022; L-2809-2014; F-5384-2015; PBZ-6889-2025; DWU-0981-2022; DWN-3783-2022; F-4568-2015; IXG-5647-2023; GDY-4101-2022; DUL-3415-2022; DWP-0733-2022; D-4408-2016; HLK-1269-2023; ESD-3744-2022; ELZ-0249-2022; DWV-9440-2022; L-3870-2014; ENM-7589-2022; FEG-0617-2022; GDE-9626-2022; KIB-5109-2024; HLN-4465-2023; FZS-1398-2022; GQI-0218-2022; GBU-1324-2022; AAJ-3985-2021; JWM-0361-2024; GGD-2860-2022; DBJ-8879-2022; HOU-2652-2023; GDH-3986-2022; FRS-0592-2022; DKW-3609-2022; J-6191-2012; AAC-4090-2021; B-7744-2016; NATURE COMMUNICATIONS###2041-1723; 36879186600; 26642318000; 7005425680; 26325125800; 57216933235; 56532154900; 8889572200; 54883873200; 58192237300; 55597712400; 55533357700; 57208049670; 57207913228; 24314530700; 7004318097; 57196036549; 7004640341; 55976970100; 57126461000; 35847784700; 58146735700; 55826845600; 58690494100; 6603765759; 57208445497; 24823039400; 57981671400; 37072319500; 6507880013; 6602709696; 57203736332; 7402075077; 7202695757; 23995780300; 56152199100; 7003564619; 6602330014; 8124291100; 55493499600; 57214791438; 57074031000; 35464300000; 6504168821; 6603389367; 57372292200; 56452875500; 6701612015; 57202131090; 57214805190; 57194324508; 57193772368; 56240953900; 6602999700; 56365949500; 57205446071; 6506789753; 16319102800; 35313993500; 16425814400; 9741589500; 35785529800; 55397558400; 7004387103
Journal: NATURE COMMUNICATIONS
Published: 2024
DOI: 10.1038/s41467-024-50146-x
Images collected during NASA’s Double Asteroid Redirection Test (DART) mission provide the first resolved views of the Didymos binary asteroid system. These images reveal that the primary asteroid, Didymos, is flattened and has plausible undulations along its equatorial perimeter. At high elevations, its surface is rough and contains large boulders and craters; at low elevations its surface is smooth and possesses fewer large boulders and craters. Didymos’ moon, Dimorphos, possesses an intimate mixture of boulders, several asteroid-wide lineaments, and a handful of craters. The surfaces of both asteroids include boulders that are large relative to their host body, suggesting that both asteroids are rubble piles. Based on these observations, our models indicate that Didymos has a surface cohesion ≤ 1 Pa and an interior cohesion of ∼10 Pa, while Dimorphos has a surface cohesion of <0.9 Pa. Crater size-frequency analyzes indicate the surface age of Didymos is 40–130 times older than Dimorphos, with likely absolute ages of ~12.5 Myr and <0.3 Myr, respectively. Solar radiation could have increased Didymos’ spin rate leading to internal deformation and surface mass shedding, which likely created Dimorphos.
Volume: 15