Search

Your search keyword '"Catena, P."' showing total 1,058 results
Start Over Author "Catena, P."
1,058 results on '"Catena, P."'

1. On the dark matter origin of an LDMX signal

Author

Catena, Riccardo, Gray, Taylor, and Lund, Andreas

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics, High Energy Physics - Experiment
Abstract

Fixed target experiments where beam electrons are focused upon a thin target have shown great potential for probing new physics, including the sub-GeV dark matter (DM) paradigm. However, a signal in future experiments such as the light dark matter experiment (LDMX) would require an independent validation to assert its DM origin. To this end, we propose to combine LDMX and next generation DM direct detection (DD) data in a four-step analysis strategy, which we here illustrate with Monte Carlo simulations. In the first step, the hypothetical LDMX signal (i.e. an excess in the final state electron energy and transverse momentum distributions) is $\textit{recorded}$. In the second step, a DM DD experiment operates with increasing exposure to test the DM origin of the LDMX signal. Here, LDMX and DD data are simulated. In the third step, a posterior probability density function (pdf) for the DM model parameters is extracted from the DD data, and used to $\textit{predict}$ the electron recoil energy and transverse momentum distributions at LDMX. In the last step, $\textit{predicted}$ and $\textit{recorded}$ electron recoil energy and transverse momentum distributions are compared in a chi-square test. We present the results of this comparison in terms of a threshold exposure that a DD experiment has to operate with to assert whether $\textit{predicted}$ and $\textit{recorded}$ distributions $\textit{can}$ be statistically dependent. We find that this threshold exposure grows with the DM particle mass, $m_\chi$. It varies from 0.012 kg-year for a DM mass of $m_\chi=4$ MeV to 1 kg-year for $m_\chi=25$ MeV, which is or will soon be within reach.

Published
2024

2. Large Language Models Reflect the Ideology of their Creators

Author

Buyl, Maarten, Rogiers, Alexander, Noels, Sander, Dominguez-Catena, Iris, Heiter, Edith, Romero, Raphael, Johary, Iman, Mara, Alexandru-Cristian, Lijffijt, Jefrey, and De Bie, Tijl

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI) assistants like ChatGPT and already play an influential role in how humans access information. However, the behavior of LLMs varies depending on their design, training, and use. In this paper, we uncover notable diversity in the ideological stance exhibited across different LLMs and languages in which they are accessed. We do this by prompting a diverse panel of popular LLMs to describe a large number of prominent and controversial personalities from recent world history, both in English and in Chinese. By identifying and analyzing moral assessments reflected in the generated descriptions, we find consistent normative differences between how the same LLM responds in Chinese compared to English. Similarly, we identify normative disagreements between Western and non-Western LLMs about prominent actors in geopolitical conflicts. Furthermore, popularly hypothesized disparities in political goals among Western models are reflected in significant normative differences related to inclusion, social inequality, and political scandals. Our results show that the ideological stance of an LLM often reflects the worldview of its creators. This raises important concerns around technological and regulatory efforts with the stated aim of making LLMs ideologically `unbiased', and it poses risks for political instrumentalization.

Published
2024

3. Surgical stabilization of rib fractures (SSRF): the WSES and CWIS position paper.

Author

Sermonesi, Giacomo, Bertelli, Riccardo, Pieracci, Fredric, Balogh, Zsolt, Coimbra, Raul, Galante, Joseph, Hecker, Andreas, Weber, Dieter, Bauman, Zachary, Kartiko, Susan, Patel, Bhavik, Whitbeck, SarahAnn, White, Thomas, Harrell, Kevin, Perrina, Daniele, Rampini, Alessia, Tian, Brian, Amico, Francesco, Beka, Solomon, Bonavina, Luigi, Ceresoli, Marco, Cobianchi, Lorenzo, Coccolini, Federico, Cui, Yunfeng, Dal Mas, Francesca, De Simone, Belinda, Di Carlo, Isidoro, Di Saverio, Salomone, Dogjani, Agron, Fette, Andreas, Fraga, Gustavo, Gomes, Carlos, Khan, Jim, Kirkpatrick, Andrew, Kruger, Vitor, Leppäniemi, Ari, Litvin, Andrey, Mingoli, Andrea, Navarro, David, Passera, Eliseo, Pisano, Michele, Podda, Mauro, Russo, Emanuele, Sakakushev, Boris, Santonastaso, Domenico, Sartelli, Massimo, Shelat, Vishal, Tan, Edward, Wani, Imtiaz, Abu-Zidan, Fikri, Biffl, Walter, Civil, Ian, Latifi, Rifat, Marzi, Ingo, Picetti, Edoardo, Pikoulis, Manos, Agnoletti, Vanni, Bravi, Francesca, Vallicelli, Carlo, Ansaloni, Luca, Moore, Ernest, and Catena, Fausto

Subjects
Consensus, Flail chest, Guidelines, Minimally invasive plating osteosynthesis (MIPO), Multiple rib fractures, Operative reduction and internal fixation (ORIF), Rib fixation, Rib fractures, Surgical stabilization of rib fractures (SSRF), Thoracic/chest trauma injury, Video-assisted thoracoscopy surgery (VATS), Rib Fractures, Humans, Fracture Fixation
Abstract

BACKGROUND: Rib fractures are one of the most common traumatic injuries and may result in significant morbidity and mortality. Despite growing evidence, technological advances and increasing acceptance, surgical stabilization of rib fractures (SSRF) remains not uniformly considered in trauma centers. Indications, contraindications, appropriate timing, surgical approaches and utilized implants are part of an ongoing debate. The present position paper, which is endorsed by the World Society of Emergency Surgery (WSES), and supported by the Chest Wall Injury Society, aims to provide a review of the literature investigating the use of SSRF in rib fracture management to develop graded position statements, providing an updated guide and reference for SSRF. METHODS: This position paper was developed according to the WSES methodology. A steering committee performed the literature review and drafted the position paper. An international panel of experts then critically revised the manuscript and discussed it in detail, to develop a consensus on the position statements. RESULTS: A total of 287 studies (systematic reviews, randomized clinical trial, prospective and retrospective comparative studies, case series, original articles) have been selected from an initial pool of 9928 studies. Thirty-nine graded position statements were put forward to address eight crucial aspects of SSRF: surgical indications, contraindications, optimal timing of surgery, preoperative imaging evaluation, rib fracture sites for surgical fixation, management of concurrent thoracic injuries, surgical approach, stabilization methods and material selection. CONCLUSION: This consensus document addresses the key focus questions on surgical treatment of rib fractures. The expert recommendations clarify current evidences on SSRF indications, timing, operative planning, approaches and techniques, with the aim to guide clinicians in optimizing the management of rib fractures, to improve patient outcomes and direct future research.

Published
2024

4. Less can be more: representational vs. stereotypical gender bias in facial expression recognition

Author

Dominguez-Catena, Iris, Paternain, Daniel, Jurio, Aranzazu, and Galar, Mikel

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Machine learning models can inherit biases from their training data, leading to discriminatory or inaccurate predictions. This is particularly concerning with the increasing use of large, unsupervised datasets for training foundational models. Traditionally, demographic biases within these datasets have not been well-understood, limiting our ability to understand how they propagate to the models themselves. To address this issue, this paper investigates the propagation of demographic biases from datasets into machine learning models. We focus on the gender demographic component, analyzing two types of bias: representational and stereotypical. For our analysis, we consider the domain of facial expression recognition (FER), a field known to exhibit biases in most popular datasets. We use Affectnet, one of the largest FER datasets, as our baseline for carefully designing and generating subsets that incorporate varying strengths of both representational and stereotypical bias. Subsequently, we train several models on these biased subsets, evaluating their performance on a common test set to assess the propagation of bias into the models' predictions. Our results show that representational bias has a weaker impact than expected. Models exhibit a good generalization ability even in the absence of one gender in the training dataset. Conversely, stereotypical bias has a significantly stronger impact, primarily concentrated on the biased class, although it can also influence predictions for unbiased classes. These results highlight the need for a bias analysis that differentiates between types of bias, which is crucial for the development of effective bias mitigation strategies., Comment: 21 pages including appendix, 11 figures

Published
2024
Full Text
View/download PDF

5. Resonant or asymmetric: The status of sub-GeV dark matter

Author

Balan, Sowmiya, Balázs, Csaba, Bringmann, Torsten, Cappiello, Christopher, Catena, Riccardo, Emken, Timon, Gonzalo, Tomás E., Gray, Taylor R., Handley, Will, Huynh, Quan, Kahlhoefer, Felix, and Vincent, Aaron C.

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Sub-GeV dark matter (DM) particles produced via thermal freeze-out evade many of the strong constraints on heavier DM candidates but at the same time face a multitude of new constraints from laboratory experiments, astrophysical observations and cosmological data. In this work we combine all of these constraints in order to perform frequentist and Bayesian global analyses of fermionic and scalar sub-GeV DM coupled to a dark photon with kinetic mixing. For fermionic DM, we find viable parameter regions close to the dark photon resonance, which expand significantly when including a particle-antiparticle asymmetry. For scalar DM, the velocity-dependent annihilation cross section evades the strongest constraints even in the symmetric case. Using Bayesian model comparison, we show that both asymmetric fermionic DM and symmetric scalar DM are preferred over symmetric fermionic DM due to the reduced fine-tuning penalty. Finally, we explore the discovery prospects of near-future experiments both in the full parameter space and for specific benchmark points. We find that the most commonly used benchmark scenarios are already in tension with existing constraints and propose a new benchmark point that can be targeted with future searches., Comment: 59 pages, 5 tables, 24 figures

Published
2024

8. Management of inflammatory bowel disease in the emergency setting: the MIBODI international survey and evidence-based practices: Management of inflammatory bowel disease in the emergency setting: the MIBODI international survey and evidence-based practices

Author

De Simone, Belinda, Davies, Justin, Abu-Zidan, Fikri M., Sartelli, Massimo, Pellino, Gianluca, Deeken, Genevieve, Biffl, Walter L., De’Angelis, Nicola, Moore, Ernest E., Coimbra, Raul, group, MIBODI Collaborative, and Catena, Fausto

Published
2024
Full Text
View/download PDF

10. Dark Matter-induced electron excitations in silicon and germanium with Deep Learning

Author

Catena, Riccardo and Urdshals, Einar

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We train a deep neural network (DNN) to output rates of dark matter (DM) induced electron excitations in silicon and germanium detectors. Our DNN provides a massive speedup of around $5$ orders of magnitude relative to existing methods (i.e. QEdark-EFT), allowing for extensive parameter scans in the event of an observed DM signal. The network is also lighter and simpler to use than alternative computational frameworks based on a direct calculation of the DM-induced excitation rate. The DNN can be downloaded $\href{https://github.com/urdshals/DEDD}{\text{here}}$., Comment: 5 pages, 2 figures

Published
2024

11. Linear response theory for light dark matter-electron scattering in materials

Author

Catena, Riccardo and Spaldin, Nicola

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We combine the non-relativistic effective theory of dark matter (DM) - electron interactions with linear response theory to obtain a formalism that fully accounts for screening and collective excitations in DM-induced electronic transition rate calculations for general DM-electron interactions. In the same way that the response of a dielectric material to an external electric field in electrodynamics is described by the dielectric function, so in our formalism the response of a detector material to a DM perturbation is described by a set of generalised susceptibilities which can be directly related to densities and currents arising from the non-relativistic expansion of the Dirac Hamiltonian. We apply our formalism to assess the sensitivity of non-spin-polarised detectors, and find that in-medium effects significantly affect the experimental sensitivity if DM couples to the detector's electron density, while being decoupled from other densities and currents. Our formalism can be straightforwardly extended to the case of spin-polarised materials., Comment: 28 pages, 4 figures. It agrees with the published version and corrects a typo in Eq. (A6)

Published
2024
Full Text
View/download PDF

12. The 2023 WSES guidelines on the management of trauma in elderly and frail patients.

Author

De Simone, Belinda, Chouillard, Elie, Podda, Mauro, Pararas, Nikolaos, de Carvalho Duarte, Gustavo, Fugazzola, Paola, Birindelli, Arianna, Coccolini, Federico, Polistena, Andrea, Sibilla, Maria, Kruger, Vitor, Fraga, Gustavo, Montori, Giulia, Russo, Emanuele, Pintar, Tadeja, Ansaloni, Luca, Avenia, Nicola, Di Saverio, Salomone, Leppäniemi, Ari, Lauretta, Andrea, Sartelli, Massimo, Puzziello, Alessandro, Carcoforo, Paolo, Agnoletti, Vanni, Bissoni, Luca, Isik, Arda, Kluger, Yoram, Moore, Ernest, Romeo, Oreste, Abu-Zidan, Fikri, Beka, Solomon, Weber, Dieter, Tan, Edward, Paolillo, Ciro, Cui, Yunfeng, Kim, Fernando, Picetti, Edoardo, Di Carlo, Isidoro, Toro, Adriana, Sganga, Gabriele, Sganga, Federica, Testini, Mario, Di Meo, Giovanna, Kirkpatrick, Andrew, Marzi, Ingo, déAngelis, Nicola, Kelly, Michael, Wani, Imtiaz, Sakakushev, Boris, Bala, Miklosh, Bonavina, Luigi, Galante, Joseph, Shelat, Vishal, Cobianchi, Lorenzo, Mas, Francesca, Pikoulis, Manos, Damaskos, Dimitrios, Coimbra, Raul, Dhesi, Jugdeep, Hoffman, Melissa, Stahel, Philip, Maier, Ronald, Litvin, Andrey, Latifi, Rifat, Biffl, Walter, and Catena, Fausto

Subjects
Ageing, Antibiotics, Delirium, Direct oral anticoagulants management, Elderly, End of life, Frailty, Geriatric patient, Imaging, Laboratory test, Pain control, Palliative care, Resuscitation, Thrombo-prophylaxis, Trauma management, Trauma score, Vitamin K antagonists anticoagulants management, Humans, Wounds and Injuries, Aged, Frail Elderly, Frailty, Aged, 80 and over, Practice Guidelines as Topic, Geriatric Assessment
Abstract

BACKGROUND: The trauma mortality rate is higher in the elderly compared with younger patients. Ageing is associated with physiological changes in multiple systems and correlated with frailty. Frailty is a risk factor for mortality in elderly trauma patients. We aim to provide evidence-based guidelines for the management of geriatric trauma patients to improve it and reduce futile procedures. METHODS: Six working groups of expert acute care and trauma surgeons reviewed extensively the literature according to the topic and the PICO question assigned. Statements and recommendations were assessed according to the GRADE methodology and approved by a consensus of experts in the field at the 10th international congress of the WSES in 2023. RESULTS: The management of elderly trauma patients requires knowledge of ageing physiology, a focused triage, including drug history, frailty assessment, nutritional status, and early activation of trauma protocol to improve outcomes. Acute trauma pain in the elderly has to be managed in a multimodal analgesic approach, to avoid side effects of opioid use. Antibiotic prophylaxis is recommended in penetrating (abdominal, thoracic) trauma, in severely burned and in open fractures elderly patients to decrease septic complications. Antibiotics are not recommended in blunt trauma in the absence of signs of sepsis and septic shock. Venous thromboembolism prophylaxis with LMWH or UFH should be administrated as soon as possible in high and moderate-risk elderly trauma patients according to the renal function, weight of the patient and bleeding risk. A palliative care team should be involved as soon as possible to discuss the end of life in a multidisciplinary approach considering the patients directives, family feelings and representatives desires, and all decisions should be shared. CONCLUSIONS: The management of elderly trauma patients requires knowledge of ageing physiology, a focused triage based on assessing frailty and early activation of trauma protocol to improve outcomes. Geriatric Intensive Care Units are needed to care for elderly and frail trauma patients in a multidisciplinary approach to decrease mortality and improve outcomes.

Published
2024

18. DSAP: Analyzing Bias Through Demographic Comparison of Datasets

Author

Dominguez-Catena, Iris, Paternain, Daniel, and Galar, Mikel

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In the last few years, Artificial Intelligence systems have become increasingly widespread. Unfortunately, these systems can share many biases with human decision-making, including demographic biases. Often, these biases can be traced back to the data used for training, where large uncurated datasets have become the norm. Despite our knowledge of these biases, we still lack general tools to detect and quantify them, as well as to compare the biases in different datasets. Thus, in this work, we propose DSAP (Demographic Similarity from Auxiliary Profiles), a two-step methodology for comparing the demographic composition of two datasets. DSAP can be deployed in three key applications: to detect and characterize demographic blind spots and bias issues across datasets, to measure dataset demographic bias in single datasets, and to measure dataset demographic shift in deployment scenarios. An essential feature of DSAP is its ability to robustly analyze datasets without explicit demographic labels, offering simplicity and interpretability for a wide range of situations. To show the usefulness of the proposed methodology, we consider the Facial Expression Recognition task, where demographic bias has previously been found. The three applications are studied over a set of twenty datasets with varying properties. The code is available at https://github.com/irisdominguez/DSAP., Comment: 18 pages, 11 figures

Published
2023
Full Text
View/download PDF

25. Strategies to prevent blood loss and reduce transfusion in emergency general surgery, WSES-AAST consensus paper

Author

Coccolini, Federico, Shander, Aryeh, Ceresoli, Marco, Moore, Ernest, Tian, Brian, Parini, Dario, Sartelli, Massimo, Sakakushev, Boris, Doklestich, Krstina, Abu-Zidan, Fikri, Horer, Tal, Shelat, Vishal, Hardcastle, Timothy, Bignami, Elena, Kirkpatrick, Andrew, Weber, Dieter, Kryvoruchko, Igor, Leppaniemi, Ari, Tan, Edward, Kessel, Boris, Isik, Arda, Cremonini, Camilla, Forfori, Francesco, Ghiadoni, Lorenzo, Chiarugi, Massimo, Ball, Chad, Ottolino, Pablo, Hecker, Andreas, Mariani, Diego, Melai, Ettore, Malbrain, Manu, Agostini, Vanessa, Podda, Mauro, Picetti, Edoardo, Kluger, Yoram, Rizoli, Sandro, Litvin, Andrey, Maier, Ron, Beka, Solomon Gurmu, De Simone, Belinda, Bala, Miklosh, Perez, Aleix Martinez, Ordonez, Carlos, Bodnaruk, Zenon, Cui, Yunfeng, Calatayud, Augusto Perez, de Angelis, Nicola, Amico, Francesco, Pikoulis, Emmanouil, Damaskos, Dimitris, Coimbra, Raul, Chirica, Mircea, Biffl, Walter L., and Catena, Fausto

Published
2024
Full Text
View/download PDF

27. Management of intra-abdominal infections: recommendations by the Italian council for the optimization of antimicrobial use

Author

Sartelli, Massimo, Tascini, Carlo, Coccolini, Federico, Dellai, Fabiana, Ansaloni, Luca, Antonelli, Massimo, Bartoletti, Michele, Bassetti, Matteo, Boncagni, Federico, Carlini, Massimo, Cattelan, Anna Maria, Cavaliere, Arturo, Ceresoli, Marco, Cipriano, Alessandro, Cortegiani, Andrea, Cortese, Francesco, Cristini, Francesco, Cucinotta, Eugenio, Dalfino, Lidia, De Pascale, Gennaro, De Rosa, Francesco Giuseppe, Falcone, Marco, Forfori, Francesco, Fugazzola, Paola, Gatti, Milo, Gentile, Ivan, Ghiadoni, Lorenzo, Giannella, Maddalena, Giarratano, Antonino, Giordano, Alessio, Girardis, Massimo, Mastroianni, Claudio, Monti, Gianpaola, Montori, Giulia, Palmieri, Miriam, Pani, Marcello, Paolillo, Ciro, Parini, Dario, Parruti, Giustino, Pasero, Daniela, Pea, Federico, Peghin, Maddalena, Petrosillo, Nicola, Podda, Mauro, Rizzo, Caterina, Rossolini, Gian Maria, Russo, Alessandro, Scoccia, Loredana, Sganga, Gabriele, Signorini, Liana, Stefani, Stefania, Tumbarello, Mario, Tumietto, Fabio, Valentino, Massimo, Venditti, Mario, Viaggi, Bruno, Vivaldi, Francesca, Zaghi, Claudia, Labricciosa, Francesco M., Abu-Zidan, Fikri, Catena, Fausto, and Viale, Pierluigi

Published
2024
Full Text
View/download PDF

28. Intra-abdominal infections survival guide: a position statement by the Global Alliance For Infections In Surgery

Author

Sartelli, Massimo, Barie, Philip, Agnoletti, Vanni, Al-Hasan, Majdi N., Ansaloni, Luca, Biffl, Walter, Buonomo, Luis, Blot, Stijn, Cheadle, William G., Coimbra, Raul, De Simone, Belinda, Duane, Therese M., Fugazzola, Paola, Giamarellou, Helen, Hardcastle, Timothy C., Hecker, Andreas, Inaba, Kenji, Kirkpatrick, Andrew W., Labricciosa, Francesco M., Leone, Marc, Martin-Loeches, Ignacio, Maier, Ronald V., Marwah, Sanjay, Maves, Ryan C., Mingoli, Andrea, Montravers, Philippe, Ordóñez, Carlos A., Palmieri, Miriam, Podda, Mauro, Rello, Jordi, Sawyer, Robert G., Sganga, Gabriele, Tattevin, Pierre, Thapaliya, Dipendra, Tessier, Jeffrey, Tolonen, Matti, Ulrych, Jan, Vallicelli, Carlo, Watkins, Richard R., Catena, Fausto, and Coccolini, Federico

Published
2024
Full Text
View/download PDF

30. Goodbye Hartmann trial: a prospective, international, multicenter, observational study on the current use of a surgical procedure developed a century ago

Author

Perrone, Gennaro, Giuffrida, Mario, Abu-Zidan, Fikri, Kruger, Vitor F., Livrini, Marco, Petracca, Gabriele Luciano, Rossi, Giorgio, Tarasconi, Antonio, Tian, Brian W. C. A., Bonati, Elena, Mentz, Ricardo, Mazzini, Federico N., Campana, Juan P., Gasser, Elisabeth, Kafka-Ritsch, Reinhold, Felsenreich, Daniel M., Dawoud, Christopher, Riss, Stefan, Gomes, Carlos Augusto, Gomes, Felipe Couto, Gonzaga, Ricardo Alessandro Teixeira, Canton, Cassio Alfred Brattig, Pereira, Bruno Monteiro, Fraga, Gustavo P., Zem, Leticia Gonçalves, Cordeiro-Fonseca, Vinicius, de Mesquita Tauil, Renato, Atanasov, Boyko, Belev, Nikolay, Kovachev, Nikola, Meléndez, L. Juan José, Dimova, Ana, Dimov, Stefan, Zelić, Zdravko, Augustin, Goran, Bogdanić, Branko, Morić, Trpimir, Chouillard, Elie, Bajul, Melinda, De Simone, Belinda, Panis, Yves, Esposito, Francesco, Notarnicola, Margherita, Lauka, Lelde, Fabbri, Anna, Hentati, Hassen, Fnaiech, Iskander, Aurélien, Venara, Bougard, Marie, Roulet, Maxime, Demetrashvili, Zaza, Pipia, Irakli, Merabishvili, Giorgi, Bouliaris, Konstantinos, Koukoulis, Georgios, Doudakmanis, Christos, Xenaki, Sofia, Chrysos, Emmanuel, Kokkinakis, Stamatios, Vassiliu, Panteleimon, Michalopoulos, Nikolaos, Margaris, Ioannis, Kechagias, Aristotelis, Avgerinos, Konstantinos, Katunin, Jevgeni, Lostoridis, Eftychios, Nagorni, Eleni-Aikaterini, Pujante, Antonio, Mulita, Francesk, Maroulis, Ioannis, Vailas, Michail, Marinis, Athanasios, Siannis, Ioannis, Bourbouteli, Eirini, Manatakis, Dimitrios K., Tasis, Nikolaos, Acheimastos, Vasileios, Maria, Sotiropoulou, Stylianos, Kapiris, Kuzeridis, Harilaos, Korkolis, Dimitrios, Fradelos, Evangelos, Kavalieratos, George, Petropoulou, Thalia, Polydorou, Andreas, Papacostantinou, Ioannis, Triantafyllou, Tania, Kimpizi, Despina, Theodorou, Dimitrios, Toutouzas, Konstantinos, Chamzin, Alexandros, Frountzas, Maximos, Schizas, Dimitrios, Karavokyros, Ioannis, Syllaios, Athanasios, Charalabopoulos, Alexandros, Boura, Maria, Baili, Efstratia, Ioannidis, Orestis, Loutzidou, Lydia, Anestiadou, Elissavet, Tsouknidas, Ioannis, Petrakis, Georgios, Polenta, Eleni, Bains, Lovenish, Gupta, Rahul, Singh, Sudhir K., Khanduri, Archana, Bala, Miklosh, Kedar, Asaf, Pisano, Marcello, Podda, Mauro, Pisanu, Adolfo, Martines, Gennaro, Trigiante, Giuseppe, Lantone, Giuliano, Agrusa, Antonino, Di Buono, Giuseppe, Buscemi, Salvatore, Veroux, Massimiliano, Gioco, Rossella, Veroux, Gastone, Oragano, Luigi, Zonta, Sandro, Lovisetto, Federico, Feo, Carlo V., Pesce, Antonio, Fabbri, Nicolò, Lantone, Giulio, Marino, Fabio, Perrone, Fabrizio, Vincenti, Leonardo, Papagni, Vincenzo, Picciariello, Arcangelo, Rossi, Stefano, Picardi, Biagio, Del Monte, Simone Rossi, Visconti, Diego, Osella, Giulia, Petruzzelli, Luca, Pignata, Giusto, Andreuccetti, Jacopo, D’Alessio, Rossella, Buonfantino, Massimo, Guaitoli, Eleonora, Spinelli, Stefano, Sampietro, Gianluca Matteo, Corbellini, Carlo, Lorusso, Leonardo, Frontali, Alice, Pezzoli, Isabella, Bonomi, Alessandro, Chierici, Andrea, Cotsoglou, Christian, Manca, Giuseppe, Delvecchio, Antonella, Musa, Nicola, Casati, Massimiliano, Letizia, Laface, Abate, Emmanuele, Ercolani, Giorgio, D’Acapito, Fabrizio, Solaini, Leonardo, Guercioni, Gianluca, Cicconi, Simone, Sasia, Diego, Borghi, Felice, Giraudo, Giorgio, Sena, Giuseppe, Castaldo, Pasquale, Cardamone, Eugenia, Portale, Giuseppe, Zuin, Matteo, Spolverato, Ylenia, Esposito, Marialusia, Isernia, Roberta Maria, Di Salvo, Maria, Manunza, Romina, Esposito, Giuseppe, Agus, Marcello, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele Tiziano, Tonucci, Tommaso Panici, Luppi, Davide, Casadei, Massimiliano, Bonilauri, Stefano, Pezzolla, Angela, Panebianco, Annunziata, Laforgia, Rita, De Luca, Maurizio, Zese, Monica, Parini, Dario, Jovine, Elio, De Sario, Giuseppina, Lombardi, Raffaele, Aprea, Giovanni, Palomba, Giuseppe, Capuano, Marianna, Argenio, Giulio, Orio, Gianluca, Armellino, Mariano Fortunato, Troian, Marina, Guerra, Martina, Nagliati, Carlo, Biloslavo, Alan, Germani, Paola, Aizza, Giada, Monsellato, Igor, Chahrour, Ali Chaouki, Anania, Gabriele, Bombardini, Cristina, Bagolini, Francesco, Sganga, Gabriele, Fransvea, Pietro, Bianchi, Valentina, Boati, Paolo, Ferrara, Francesco, Palmieri, Francesco, Cianci, Pasquale, Gattulli, Domenico, Restini, Enrico, Cillara, Nicola, Cannavera, Alessandro, Nita, Gabriela Elisa, Sarnari, Jlenia, Roscio, Francesco, Clerici, Federico, Scandroglio, Ildo, Berti, Stefano, Cadeo, Alessandro, Filippelli, Alice, Conti, Luigi, Grassi, Carmine, Cattaneo, Gaetano Maria, Pighin, Marina, Papis, Davide, Gambino, Giovanni, Bertino, Vanessa, Schifano, Domenico, Prando, Daniela, Fogato, Luisella, Cavallo, Fabio, Ansaloni, Luca, Picheo, Roberto, Pontarolo, Nicholas, Depalma, Norma, Spampinato, Marcello, D’Ugo, Stefano, Lepre, Luca, Capponi, Michela Giulii, Campa, Rossella Domenica, Sarro, Giuliano, Dinuzzi, Vincenza Paola, Olmi, Stefano, Uccelli, Matteo, Ferrari, Davide, Inama, Marco, Moretto, Gianluigi, Fontana, Michele, Favi, Francesco, Picariello, Erika, Rampini, Alessia, Barberis, Andrea, Azzinnaro, Antonio, Oliva, Alba, Totaro, Luigi, Benzoni, Ilaria, Ranieri, Valerio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Ronconi, Maurizio, Casiraghi, Silvia, Casole, Giovanni, Pantalone, Desire, Alemanno, Giovanni, Scheiterle, Maximilian, Ceresoli, Marco, Cereda, Marco, Fumagalli, Chiara, Zanzi, Federico, Bolzon, Stefano, Guerra, Enrico, Lecchi, Francesca, Cellerino, Paola, Ardito, Antonella, Scaramuzzo, Rosa, Balla, Andrea, Lepiane, Pasquale, Tartaglia, Nicola, Ambrosi, Antonio, Pavone, Giovanna, Palini, Gian Marco, Veneroni, Simone, Garulli, Gianluca, Ricci, Claudio, Torre, Beatrice, Russo, Iris Shari, Rottoli, Matteo, Tanzanu, Marta, Belvedere, Angela, Milone, Marco, Manigrasso, Michele, De Palma, Giovanni Domenico, Piccoli, Micaela, Pattacini, Gianmaria Casoni, Magnone, Stefano, Bertoli, Paolo, Pisano, Michele, Massucco, Paolo, Palisi, Marco, Luzzi, Andrea-Pierre, Fleres, Francesco, Clarizia, Guglielmo, Spolini, Alessandro, Kobe, Yoshiro, Toma, Takayuki, Shimamura, Fumihiko, Parker, Robert, Ranketi, Sinkeet, Mitei, Mercy, Svagzdys, Saulius, Pauzas, Henrikas, Zilinskas, Justas, Poskus, Tomas, Kryzauskas, Marius, Jakubauskas, Matas, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Wong, Michael Pak-Kai, Jusoh, Asri Che, Zakaria, Muhammad Nazreen, Cruz, Daniel Rios, Elizalde, Aurea Barbara Rodriguez, Reynaud, Alejandro Bañon, Hernandez, Edgard Efren Lozada, Monroy, Jose maria Victor Palomo, Hinojosa-Ugarte, Diego, Quiodettis, Martha, Du Bois, María Esther, Latorraca, José, Major, Piotr, Pędziwiatr, Michał, Pisarska-Adamczyk, Magdalena, Walędziak, Maciej, Kwiatkowski, Andrzej, Czyżykowski, Łukasz, da Costa, Silvia Dantas, Pereira, Bela, Ferreira, Ana Rita Oliveira, Almeida, Filipe, Rocha, Ricardo, Carneiro, Carla, Perez, Diego Pita, Carvas, João, Rocha, Catarina, Ferreira, Cátia, Marques, Rita, Fernandes, Urânia, Leao, Pedro, Goulart, André, Pereira, Rita Gonçalves, Patrocínio, Sara Daniela Direito, de Mendonça, Nuno Gonçalo Gonçalves, Manso, Maria Isabel Cerqueira, Morais, Henrique Manuel Cardoso, Cardoso, Paulo Sebastião, Calu, Valentin, Miron, Adrian, Toma, Elena Adelina, Gachabayov, Mahir, Abdullaev, Abakar, Litvin, Andrey, Nechay, Taras, Tyagunov, Alexander, Yuldashev, Anvar, Bradley, Alison, Wilson, Michael, Panyko, Arpád, Látečková, Zuzana, Lacko, Vladimír, Lesko, Dusan, Soltes, Marek, Radonak, Jozef, Turrado-Rodriguez, Victor, Termes-Serra, Roser, Morales-Sevillano, Xavier, Lapolla, Pierfrancesco, Mingoli, Andrea, Brachini, Gioia, Degiuli, Maurizio, Sofia, Silvia, Reddavid, Rossella, de Manzoni Garberini, Andrea, Buffone, Angelica, del Pozo, Eduardo Perea, Aparicio-Sánchez, Daniel, Dos Barbeito, Sandra, Estaire-Gómez, Mercedes, Vitón-Herrero, Rebeca, de los Ángeles Gil Olarte-Marquez, Mª, Gil-Martínez, José, Alconchel, Felipe, Nicolás-López, Tatiana, Rahy-Martin, Aida Cristina, Pelloni, María, Bañolas-Suarez, Raquel, Mendoza-Moreno, Fernando, Nisa, Francisca García-Moreno, Díez-Alonso, Manuel, Rodas, María Elisa Valle, Agundez, María Carmona, Andrés, María Inmaculada Pérez, Moreira, Claudia Cristina Lopes, Perez, Aintzane Lizarazu, Ponce, Iñigo Augusto, González-Castillo, Ana María, Membrilla-Fernández, Estela, Salvans, Silvia, Serradilla-Martín, Mario, Pardo, Pablo Sancho, Rivera-Alonso, Daniel, Dziakova, Jana, Huguet, Jose Mugüerza, Valle, Naila Pagès, Ruiz, Enrique Colás, Valcárcel, Cristina Rey, Moreno, Cristina Ruiz, Salazar, Yeniffer Tatiana Moreno, García, Juan Jesús Rubio, Micó, Silvia Sevila, López, Joaquín Ruiz, Farré, Silvia Pérez, Gomez, Maite Santamaria, Petit, Nuria Mestres, Titos-García, Alberto, Aranda-Narváez, Jose Manuel, Romacho-López, Laura, Sánchez-Guillén, Luis, Aranaz-Ostariz, Veronica, Bosch-Ramírez, Marina, Martínez-Pérez, Aleix, Martínez-López, Elías, Sebastián-Tomás, Juan Carlos, Jimenez-Riera, Granada, Jimenez-Vega, Javier, Cuellar, Jose Aurelio Navas, Campos-Serra, Andrea, Muñoz-Campaña, Anna, Gràcia-Roman, Raquel, Alegre, Javier Martínez, Pinto, Francisca Lima, O’Sullivan, Sara Nuñez, Antona, Francisco Blanco, Jiménez, Beatriz Muñoz, López-Sánchez, Jaime, Carmona, Zahira Gómez, Fernández, Rocio Torres, Sierra, Isabel Blesa, de León, Laura Román García, Moreno, Verónica Polaino, Iglesias, Eva, Cumplido, Paola Lora, Bravo, Altea Arango, Simó, Ignacio Rey, Domínguez, Carlota López, Caamaño, Aloia Guerreiro, Lozano, Rafael Calleja, Martínez, Manuel Durán, Torres, Álvaro Naranjo, de Quiros, Javier Tomas Morales Bernaldo, Pellino, Gianluca, Cloquell, Miriam Moratal, Moller, Elsa García, Jalal-Eldin, Sami, Abdoun, Ahmed K., Hamid, Hytham K. S., Lohsiriwat, Varut, Mongkhonsupphawan, Aitsariya, Baraket, Oussama, Ayed, Karim, Abbassi, Imed, Ali, Ali Ben, Ammar, Houssem, Kchaou, Ali, Tlili, Ahmed, Zribi, Imen, Colak, Elif, Polat, Suleyman, Koylu, Zehra Alan, Guner, Ali, Usta, Mehmet Arif, Reis, Murat Emre, Mantoglu, Baris, Gonullu, Emre, Akin, Emrah, Altintoprak, Fatih, Bayhan, Zulfu, Firat, Necattin, Isik, Arda, Memis, Ufuk, Bayrak, Mehmet, Altıntaş, Yasemin, Kara, Yasin, Bozkurt, Mehmet Abdussamet, Kocataş, Ali, Das, Koray, Seker, Ahmet, Ozer, Nazmi, Atici, Semra Demirli, Tuncer, Korhan, Kaya, Tayfun, Ozkan, Zeynep, Ilhan, Onur, Agackiran, Ibrahim, Uzunoglu, Mustafa Yener, Demirbas, Eren, Altinel, Yuksel, Meric, Serhat, Hacım, Nadir Adnan, Uymaz, Derya Salim, Omarov, Nail, Balık, Emre, Tebala, Giovanni D., Khalil, Hany, Rana, Mridul, Khan, Mansoor, Florence, Charlotte, Swaminathan, Christie, Leo, Cosimo Alex, Liasis, Lampros, Watfah, Josef, Trostchansky, Ivan, Delgado, Edward, Pontillo, Marcelo, Latifi, Rifat, Coimbra, Raul, Edwards, Sara, Lopez, Ana, Velmahos, George, Dorken, Ander, Gebran, Anthony, Palmer, Amanda, Oury, Jeffrey, Bardes, James M., Seng, Sirivan Suon, Coffua, Lauren S., Ratnasekera, Asanthi, Egodage, Tanya, Echeverria-Rosario, Karla, Armento, Isabella, Napolitano, Lena M., Sangji, Naveen F., Hemmila, Mark, Quick, Jacob A., Austin, Tyler R., Hyman, Theodore S., Curtiss, William, McClure, Amanda, Cairl, Nicholas, Biffl, Walter L., Truong, Hung P., Schaffer, Kathryn, Reames, Summer, Banchini, Filippo, Capelli, Patrizio, Coccolini, Federico, Sartelli, Massimo, Bravi, Francesca, Vallicelli, Carlo, Agnoletti, Vanni, Baiocchi, Gian Luca, and Catena, Fausto

Published
2024
Full Text
View/download PDF

34. Are we ready for "green surgery" to promote environmental sustainability in the operating room? Results from the WSES STAR investigation

Author

Dal Mas, Francesca, Cobianchi, Lorenzo, Piccolo, Daniele, Balch, Jeremy, Biancuzzi, Helena, Biffl, Walter L., Campostrini, Stefano, Cicuttin, Enrico, Coccolini, Federico, Damaskos, Dimitris, Filiberto, Amanda C., Filisetti, Claudia, Fraga, Gustavo, Frassini, Simone, Fugazzola, Paola, Hardcastle, Timothy, Kaafarani, Haytham M., Kluger, Yoran, Massaro, Maurizio, Martellucci, Jacopo, Moore, Ernest, Ruta, Federico, Sartelli, Massimo, Stahel, Philip F., Velmahos, George, Weber, Dieter G., Catena, Fausto, Loftus, Tyler J., and Ansaloni, Luca

Published
2024
Full Text
View/download PDF

35. Early management of adult traumatic spinal cord injury in patients with polytrauma: a consensus and clinical recommendations jointly developed by the World Society of Emergency Surgery (WSES) & the European Association of Neurosurgical Societies (EANS)

Author

Picetti, Edoardo, Demetriades, Andreas K., Catena, Fausto, Aarabi, Bizhan, Abu-Zidan, Fikri M., Alves, Oscar L., Ansaloni, Luca, Armonda, Rocco A., Badenes, Rafael, Bala, Miklosh, Balogh, Zsolt J., Barbanera, Andrea, Bertuccio, Alessandro, Biffl, Walter L., Bouzat, Pierre, Buki, Andras, Castano-Leon, Ana Maria, Cerasti, Davide, Citerio, Giuseppe, Coccolini, Federico, Coimbra, Raul, Coniglio, Carlo, Costa, Francesco, De Iure, Federico, Depreitere, Bart, Fainardi, Enrico, Fehlings, Michael J., Gabrovsky, Nikolay, Godoy, Daniel Agustin, Gruen, Peter, Gupta, Deepak, Hawryluk, Gregory W. J., Helbok, Raimund, Hossain, Iftakher, Hutchinson, Peter J., Iaccarino, Corrado, Inaba, Kenji, Ivanov, Marcel, Kaprovoy, Stanislav, Kirkpatrick, Andrew W., Klein, Sam, Kolias, Angelos, Konovalov, Nikolay A., Lagares, Alfonso, Lippa, Laura, Loza-Gomez, Angelica, Luoto, Teemu M., Maas, Andrew I. R., Maciejczak, Andrzej, Maier, Ronald V., Marklund, Niklas, Martin, Matthew J., Melloni, Ilaria, Mendoza-Lattes, Sergio, Meyfroidt, Geert, Munari, Marina, Napolitano, Lena M., Okonkwo, David O., Otomo, Yasuhiro, Papadopoulos, Marios C., Petr, Ondra, Peul, Wilco C., Pudkrong, Aichholz K., Qasim, Zaffer, Rasulo, Frank, Reizinho, Carla, Ringel, Florian, Rizoli, Sandro, Rostami, Elham, Rubiano, Andres M., Russo, Emanuele, Sarwal, Aarti, Schwab, Jan M., Servadei, Franco, Sharma, Deepak, Sharif, Salman, Shiban, Ehab, Shutter, Lori, Stahel, Philip F., Taccone, Fabio S., Terpolilli, Nicole A., Thomé, Claudius, Toth, Peter, Tsitsopoulos, Parmenion P., Udy, Andrew, Vaccaro, Alexander R., Varon, Albert J., Vavilala, Monica S., Younsi, Alexander, Zackova, Monika, Zoerle, Tommaso, and Robba, Chiara

Published
2024
Full Text
View/download PDF

36. Cesena guidelines: WSES consensus statement on laparoscopic-first approach to general surgery emergencies and abdominal trauma.

Author

Sermonesi, Giacomo, Tian, Brian, Vallicelli, Carlo, Abu-Zidan, Fikri, Damaskos, Dimitris, Kelly, Michael, Leppäniemi, Ari, Galante, Joseph, Tan, Edward, Kirkpatrick, Andrew, Khokha, Vladimir, Romeo, Oreste, Chirica, Mircea, Pikoulis, Manos, Litvin, Andrey, Shelat, Vishal, Sakakushev, Boris, Wani, Imtiaz, Sall, Ibrahima, Fugazzola, Paola, Cicuttin, Enrico, Toro, Adriana, Amico, Francesco, Mas, Francesca, De Simone, Belinda, Sugrue, Michael, Bonavina, Luigi, Campanelli, Giampiero, Carcoforo, Paolo, Cobianchi, Lorenzo, Coccolini, Federico, Chiarugi, Massimo, Di Carlo, Isidoro, Di Saverio, Salomone, Podda, Mauro, Pisano, Michele, Sartelli, Massimo, Testini, Mario, Fette, Andreas, Rizoli, Sandro, Picetti, Edoardo, Weber, Dieter, Latifi, Rifat, Kluger, Yoram, Balogh, Zsolt, Biffl, Walter, Jeekel, Hans, Civil, Ian, Hecker, Andreas, Ansaloni, Luca, Bravi, Francesca, Agnoletti, Vanni, Beka, Solomon, Moore, Ernest, and Catena, Fausto

Subjects
Acute appendicitis, Acute care surgery, Acute cholecystitis, Acute diverticulitis, Acute pancreatitis, Acute peritonitis, Adhesive small bowel obstruction, Colo–rectal emergencies, Emergency general surgery, Guidelines, Incarcerated/complicated ventral/inguinal hernia, Laparoscopic approach, Laparoscopy, Mesenteric ischemia, Minimally invasive surgery/approach, Penetrating/blunt abdominal trauma, Perforated peptic ulcer, Recommendations, Trauma surgery hemodynamic stability, Humans, Emergencies, Retrospective Studies, Laparoscopy, Abdomen, Abdominal Injuries, Randomized Controlled Trials as Topic
Abstract

BACKGROUND: Laparoscopy is widely adopted across nearly all surgical subspecialties in the elective setting. Initially finding indication in minor abdominal emergencies, it has gradually become the standard approach in the majority of elective general surgery procedures. Despite many technological advances and increasing acceptance, the laparoscopic approach remains underutilized in emergency general surgery and in abdominal trauma. Emergency laparotomy continues to carry a high morbidity and mortality. In recent years, there has been a growing interest from emergency and trauma surgeons in adopting minimally invasive surgery approaches in the acute surgical setting. The present position paper, supported by the World Society of Emergency Surgery (WSES), aims to provide a review of the literature to reach a consensus on the indications and benefits of a laparoscopic-first approach in patients requiring emergency abdominal surgery for general surgery emergencies or abdominal trauma. METHODS: This position paper was developed according to the WSES methodology. A steering committee performed the literature review and drafted the position paper. An international panel of 54 experts then critically revised the manuscript and discussed it in detail, to develop a consensus on a position statement. RESULTS: A total of 323 studies (systematic review and meta-analysis, randomized clinical trial, retrospective comparative cohort studies, case series) have been selected from an initial pool of 7409 studies. Evidence demonstrates several benefits of the laparoscopic approach in stable patients undergoing emergency abdominal surgery for general surgical emergencies or abdominal trauma. The selection of a stable patient seems to be of paramount importance for a safe adoption of a laparoscopic approach. In hemodynamically stable patients, the laparoscopic approach was found to be safe, feasible and effective as a therapeutic tool or helpful to identify further management steps and needs, resulting in improved outcomes, regardless of conversion. Appropriate patient selection, surgeon experience and rigorous minimally invasive surgical training, remain crucial factors to increase the adoption of laparoscopy in emergency general surgery and abdominal trauma. CONCLUSIONS: The WSES expert panel suggests laparoscopy as the first approach for stable patients undergoing emergency abdominal surgery for general surgery emergencies and abdominal trauma.

Published
2023

38. Towards a tailored approach for patients with acute diverticulitis and abscess formation. The DivAbsc2023 multicentre case–control study

Author

Podda, Mauro, Ceresoli, Marco, Di Martino, Marcello, Ortenzi, Monica, Pellino, Gianluca, Pata, Francesco, Ielpo, Benedetto, Murzi, Valentina, Balla, Andrea, Lepiane, Pasquale, Tamini, Nicolo’, De Carlo, Giulia, Davolio, Alessia, Di Saverio, Salomone, Cardinali, Luca, Botteri, Emanuele, Vettoretto, Nereo, Gelera, Pier Paolo, De Simone, Belinda, Grasso, Antonella, Clementi, Marco, Meloni, Danilo, Poillucci, Gaetano, Favi, Francesco, Rizzo, Roberta, Montori, Giulia, Procida, Giuseppa, Recchia, Irene, Agresta, Ferdinando, Virdis, Francesco, Cioffi, Stefano Piero Bernardo, Pellegrini, Martina, Sartelli, Massimo, Coccolini, Federico, Catena, Fausto, and Pisanu, Adolfo

Published
2024
Full Text
View/download PDF

39. Spin-1 Thermal Targets for Dark Matter Searches at Beam Dump and Fixed Target Experiments

Author

Catena, Riccardo and Gray, Taylor R.

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The current framework for dark matter searches at beam dump and fixed target experiments relies on four benchmark models, the complex scalar, inelastic scalar, pseudo-Dirac and finally, Majorana DM models. While this approach has so far been successful in the interpretation of the available data, it a priori excludes the possibility that DM is made of spin-1 particles -- a restriction which is neither theoretically nor experimentally justified. In this work we extend the current landscape of sub-GeV DM models to a set of models for spin-1 DM, including a family of simplified models (involving one DM candidate and one mediator -- the dark photon) and an ultraviolet complete model based on a non-abelian gauge group where DM is a spin-1 Strongly Interacting Massive Particle. For each of these models, we calculate the DM relic density, the expected number of signal events at beam dump experiments, the rate of energy injection in the early universe thermal bath and in the Intergalactic Medium, as well as the helicity amplitudes for forward processes subject to the unitary bound. We then compare these predictions with experimental results from Planck, CMB surveys, IGM temperature observations, LSND, MiniBooNE, NA64, and BaBar and with available projections from LDMX and Belle II. Through this comparison, we identify the regions in the parameter space of the models considered in this work where DM is simultaneously thermally produced, compatible with present observations, and within reach at Belle II and LDMX. We find that the simplified models are strongly constrained by current beam dump experiments and the unitarity bound, and will thus be conclusively probed in the first stage of LDMX data taking. We also find that the SIMP model explored in this work predicts the observed DM abundance, is compatible with current observations and within reach at LDMX in a wide region of the parameter space.

Published
2023

40. Enhanced perioperative care in emergency general surgery: the WSES position paper.

Author

Ceresoli, Marco, Braga, Marco, Zanini, Nicola, Abu-Zidan, Fikri, Parini, Dario, Langer, Thomas, Sartelli, Massimo, Damaskos, Dimitrios, Biffl, Walter, Amico, Francesco, Ansaloni, Luca, Balogh, Zsolt, Bonavina, Luigi, Civil, Ian, Cicuttin, Enrico, Chirica, Mircea, Cui, Yunfeng, De Simone, Belinda, Di Carlo, Isidoro, Fette, Andreas, Foti, Giuseppe, Fogliata, Michele, Fraga, Gustavo, Fugazzola, Paola, Galante, Joseph, Beka, Solomon, Hecker, Andreas, Jeekel, Johannes, Kirkpatrick, Andrew, Koike, Kaoru, Leppäniemi, Ari, Marzi, Ingo, Moore, Ernest, Picetti, Edoardo, Pikoulis, Emmanouil, Pisano, Michele, Podda, Mauro, Sakakushev, Boris, Shelat, Vishal, Tan, Edward, Tebala, Giovanni, Velmahos, George, Weber, Dieter, Agnoletti, Vanni, Kluger, Yoram, Baiocchi, Gianluca, Catena, Fausto, and Coccolini, Federico

Subjects
Humans, Perioperative Care, Elective Surgical Procedures
Abstract

Enhanced perioperative care protocols become the standard of care in elective surgery with a significant improvement in patients outcome. The key element of the enhanced perioperative care protocol is the multimodal and interdisciplinary approach targeted to the patient, focused on a holistic approach to reduce surgical stress and improve perioperative recovery. Enhanced perioperative care in emergency general surgery is still a debated topic with little evidence available. The present position paper illustrates the existing evidence about perioperative care in emergency surgery patients with a focus on each perioperative intervention in the preoperative, intraoperative and postoperative phase. For each item was proposed and approved a statement by the WSES collaborative group.

Published
2023

41. Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition

Author

Dominguez-Catena, Iris, Paternain, Daniel, and Galar, Mikel

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society
Abstract

Demographic biases in source datasets have been shown as one of the causes of unfairness and discrimination in the predictions of Machine Learning models. One of the most prominent types of demographic bias are statistical imbalances in the representation of demographic groups in the datasets. In this paper, we study the measurement of these biases by reviewing the existing metrics, including those that can be borrowed from other disciplines. We develop a taxonomy for the classification of these metrics, providing a practical guide for the selection of appropriate metrics. To illustrate the utility of our framework, and to further understand the practical characteristics of the metrics, we conduct a case study of 20 datasets used in Facial Emotion Recognition (FER), analyzing the biases present in them. Our experimental results show that many metrics are redundant and that a reduced subset of metrics may be sufficient to measure the amount of demographic bias. The paper provides valuable insights for researchers in AI and related fields to mitigate dataset bias and improve the fairness and accuracy of AI models. The code is available at https://github.com/irisdominguez/dataset_bias_metrics., Comment: 16 pages, 8 figures. Including appendix: 45 pages, 32 figures. Updated from previous version with an additional appendix, addressing concerns about the interest of studying bias at the dataset level

Published
2023
Full Text
View/download PDF

42. Direct searches for general dark matter-electron interactions with graphene detectors: Part II. Sensitivity studies

Author

Catena, Riccardo, Emken, Timon, Matas, Marek, Spaldin, Nicola A., and Urdshals, Einar

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We use a formalism that describes electron ejections from graphene-like targets by dark matter (DM) scattering for general forms of scalar and spin 1/2 DM-electron interactions in combination with state-of-the-art density functional calculations to produce predictions and reach estimates for various possible carbon-based detector designs. Our results indicate the importance of a proper description of the target electronic structure. In addition, we find a strong dependence of the predicted observed signal for different DM candidate masses and interaction types on the detailed geometry and design of the detector. Combined with directional background vetoing, these dependencies will enable the identification of DM particle properties once a signal has been established., Comment: 22 pages, 15 figures, 2 appendices. The DFT code can be found under https://github.com/urdshals/QEdark-EFT

Published
2023

43. Direct searches for general dark matter-electron interactions with graphene detectors: Part I. Electronic structure calculations

Author

Catena, Riccardo, Emken, Timon, Matas, Marek, Spaldin, Nicola A., and Urdshals, Einar

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We develop a formalism to describe electron ejections from graphene-like targets by dark matter (DM) scattering for general forms of scalar and spin 1/2 DM-electron interactions and compare their applicability and accuracy within the density functional theory (DFT) and tight binding (TB) approaches. This formalism allows for accurate prediction of the daily modulation signal expected from DM in upcoming direct detection experiments employing graphene sheets as the target material. A key result is that the physics of the graphene sheet and that of the DM and the ejected electron factorise, allowing for the rate of ejections from all forms of DM to be obtained with a single graphene response function. We perform a comparison between the TB and DFT approaches to modeling the initial state electronic wavefunction within this framework, with DFT emerging as the more self-consistent and reliable choice due to the challenges in the embedding of an appropriate atomic contribution into the TB approach., Comment: 29 pages, 12 figures, 5 appendices. The TB and DFT codes can be found under https://github.com/temken/Darphene and https://github.com/urdshals/QEdark-EFT respectively

Published
2023

44. Chiral phonons as dark matter detectors

Author

Romao, Carl P., Catena, Riccardo, Spaldin, Nicola A., and Matas, Marek

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics, Condensed Matter - Materials Science
Abstract

We propose a method for detecting single chiral phonons that will enable their use as dark-matter detectors. We suggest metal--organic frameworks (MOFs) as detector materials, as their flexibility yields low-energy chiral phonons with measurable magnetic moments, and their anisotropy leads to directional sensitivity, which mitigates background contamination. To demonstrate our proposal, we calculate the phononic structure of the MOF InF$_3$($4,4'$-bipyridine), and show that it has highly chiral acoustic phonons. Detection of such chiral phonons via their magnetic moments would dramatically lower the excitation energy threshold for dark matter detection to the energy of a single phonon. We show that single phonon detection in a MOF would extend detector reach ten or more orders of magnitude below current limits, enabling exploration of a multitude of as-yet-unprobed dark matter candidates., Comment: 12 pages, 4 figures

Published
2023
Full Text
View/download PDF

45. Management of complicated diaphragmatic hernia in the acute setting: a WSES position paper.

Author

Giuffrida, Mario, Perrone, Gennaro, Abu-Zidan, Fikri, Agnoletti, Vanni, Ansaloni, Luca, Baiocchi, Gian, Bendinelli, Cino, Biffl, Walter, Bonavina, Luigi, Bravi, Francesca, Carcoforo, Paolo, Ceresoli, Marco, Chichom-Mefire, Alain, Coccolini, Federico, Coimbra, Raul, deAngelis, Nicola, de Moya, Marc, De Simone, Belinda, Di Saverio, Salomone, Fraga, Gustavo, Ivatury, Rao, Kashuk, Jeffry, Kelly, Michael, Kirkpatrick, Andrew, Kluger, Yoram, Koike, Kaoru, Leppaniemi, Ari, Maier, Ronald, Moore, Ernest, Peitzmann, Andrew, Sakakushev, Boris, Sartelli, Massimo, Sugrue, Michael, Tian, Brian, Broek, Richard, Vallicelli, Carlo, Wani, Imtaz, Weber, Dieter, Docimo, Giovanni, Catena, Fausto, and Galante, Joseph

Subjects
Congenital, Diaphragm hernia, Emergency surgery, Guidelines, Rupture, Trauma, Humans, Diaphragm, Hernias, Diaphragmatic, Congenital, Tomography, X-Ray Computed, Thorax, Hernia, Hiatal, Thoracic Injuries
Abstract

BACKGROUND: Diaphragmatic hernia (DH) presenting acutely can be a potentially life-threatening condition. Its management continues to be debatable. METHODS: A bibliographic search using major databases was performed using the terms emergency surgery diaphragmatic hernia, traumatic diaphragmatic rupture and congenital diaphragmatic hernia. GRADE methodology was used to evaluate the evidence and give recommendations. RESULTS: CT scan of the chest and abdomen is the diagnostic gold standard to evaluate complicated DH. Appropriate preoperative assessment and prompt surgical intervention are important for a clinical success. Complicated DH repair is best performed via the use of biological and bioabsorbable meshes which have proven to reduce recurrence. The laparoscopic approach is the preferred technique in hemodynamically stable patients without significant comorbidities because it facilitates early diagnosis of small diaphragmatic injuries from traumatic wounds in the thoraco-abdominal area and reduces postoperative complications. Open surgery should be reserved for situations when skills and equipment for laparoscopy are not available, where exploratory laparotomy is needed, or if the patient is hemodynamically unstable. Damage Control Surgery is an option in the management of critical and unstable patients. CONCLUSIONS: Complicated diaphragmatic hernia is a rare life-threatening condition. CT scan of the chest and abdomen is the gold standard for diagnosing the diaphragmatic hernia. Laparoscopic repair is the best treatment option for stable patients with complicated diaphragmatic hernias. Open repair is considered necessary in majority of unstable patients in whom Damage Control Surgery can be life-saving.

Published
2023

46. Assessing and managing frailty in emergency laparotomy: a WSES position paper.

Author

Tian, Brian, Stahel, Philip, Picetti, Edoardo, Campanelli, Giampiero, Di Saverio, Salomone, Moore, Ernest, Bensard, Denis, Sakakushev, Boris, Galante, Joseph, Fraga, Gustavo, Koike, Kaoru, Di Carlo, Isidoro, Tebala, Giovanni, Leppaniemi, Ari, Tan, Edward, Damaskos, Dimitris, DeAngelis, Nicola, Hecker, Andreas, Pisano, Michele, Maier, Ron, De Simone, Belinda, Amico, Francesco, Ceresoli, Marco, Pikoulis, Manos, Weber, Dieter, Biffl, Walt, Beka, Solomon, Abu-Zidan, Fikri, Valentino, Massimo, Coccolini, Federico, Kluger, Yoram, Sartelli, Massimo, Agnoletti, Vanni, Chirica, Mircea, Bravi, Francesca, Sall, Ibrahima, and Catena, Fausto

Subjects
Elderly, Emergency surgery, Frail, Frailty, Laparotomy, Humans, Aged, Aged, 80 and over, Frailty, Laparotomy, Frail Elderly, Consensus, Comorbidity
Abstract

Many countries are facing an aging population. As people live longer, surgeons face the prospect of operating on increasingly older patients. Traditional teaching is that with older age, these patients face an increased risk of mortality and morbidity, even to a level deemed too prohibitive for surgery. However, this is not always true. An active 90-year-old patient can be much fitter than an overweight, sedentary 65-year-old patient with comorbidities. Recent literature shows that frailty-an age-related cumulative decline in multiple physiological systems, is therefore a better predictor of mortality and morbidity than chronological age alone. Despite recognition of frailty as an important tool in identifying vulnerable surgical patients, many surgeons still shun objective tools. The aim of this position paper was to perform a review of the existing literature and to provide recommendations on emergency laparotomy and in frail patients. This position paper was reviewed by an international expert panel composed of 37 experts who were asked to critically revise the manuscript and position statements. The position paper was conducted according to the WSES methodology. We shall present the derived statements upon which a consensus was reached, specifying the quality of the supporting evidence and suggesting future research directions.

Published
2023

47. WSES consensus guidelines on sigmoid volvulus management.

Author

Tian, Brian, Vigutto, Gabriele, Tan, Edward, van Goor, Harry, Bendinelli, Cino, Abu-Zidan, Fikri, Ivatury, Rao, Sakakushev, Boris, Di Carlo, Isidoro, Sganga, Gabriele, Maier, Ronald, Coimbra, Raul, Leppäniemi, Ari, Litvin, Andrey, Damaskos, Dimitrios, Broek, Richard, Biffl, Walter, Di Saverio, Salomone, De Simone, Belinda, Ceresoli, Marco, Picetti, Edoardo, Tebala, Giovanni, Beka, Solomon, Bonavina, Luigi, Cui, Yunfeng, Khan, Jim, Cicuttin, Enrico, Amico, Francesco, Kenji, Inaba, Hecker, Andreas, Ansaloni, Luca, Sartelli, Massimo, Moore, Ernest, Kluger, Yoram, Testini, Mario, Weber, Dieter, Agnoletti, Vanni, Angelis, Nicola, Coccolini, Federico, Sall, Ibrahima, Catena, Fausto, and Galante, Joseph

Subjects
Humans, Aged, Intestinal Volvulus, Decompression, Surgical, Lumbar Vertebrae, Colonic Diseases
Abstract

Sigmoid volvulus is a common surgical emergency, especially in elderly patients. Patients can present with a wide range of clinical states: from asymptomatic, to frank peritonitis secondary to colonic perforation. These patients generally need urgent treatment, be it endoscopic decompression of the colon or an upfront colectomy. The World Society of Emergency Surgery united a worldwide group of international experts to review the current evidence and propose a consensus guidelines on the management of sigmoid volvulus.

Published
2023

49. Che-1/miR-590-3p/TAZ axis sustains multiple myeloma disease

Author

Bruno, Tiziana, Catena, Valeria, Corleone, Giacomo, Cortile, Clelia, Cappelletto, Maria Chiara, Bellei, Barbara, De Nicola, Francesca, Amadio, Bruno, Gumenyuk, Svitlana, Marchesi, Francesco, Annibali, Ombretta, Blandino, Giovanni, Fanciulli, Maurizio, and Di Agostino, Silvia

Published
2024
Full Text
View/download PDF

50. The Operating Room management for emergency Surgical Activity (ORSA) study: a WSES international survey

Author

De Simone, Belinda, Agnoletti, Vanni, Abu-Zidan, Fikri M., Biffl, Walter L., Moore, Ernest E., Chouillard, Elie, Coccolini, Federico, Sartelli, Massimo, Podda, Mauro, Di Saverio, Salomone, Kaafarani, Haytham, Balogh, Zsolt J., Bala, Miklosh, Leppäniemi, Ari K., Kirkpatrick, Andrew W., Pikoulis, Emmanouil, Rasa, Kemal, Rosato, Chiara, Sawyer, Robert, Ansaloni, Luca, de’Angelis, Nicola, Damaskos, Dimitris, Stahel, Philip F., Kluger, Yoram, Coimbra, Raul, and Catena, Fausto

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results