231 results on '"Parascandolo, P."'
Search Results
2. Increased levels of versican and insulin-like growth factor 1 in peritumoral mammary adipose tissue are related to aggressiveness in estrogen receptor-positive breast cancer
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Paola Mirra, Alessia Parascandolo, Graziella Marino, Federica D’Alterio, Lorenza Zinna, Antonella Desiderio, Giuseppe Patitucci, Giulia Anna Carmen Vita, Valentina Condelli, Sabino Russi, Francesco D’Andrea, Francesco Beguinot, Claudia Miele, Pietro Formisano, and Vittoria D’Esposito
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Mammary adipose tissue ,Biomarkers ,Breast cancer ,Versican ,IGF-1 ,BMI ,Therapeutics. Pharmacology ,RM1-950 ,Biochemistry ,QD415-436 - Abstract
Abstract The adipose tissue (AT) surrounding breast cancer (BC) plays a pivotal role in cancer progression and represents an optimal source for new biomarker discovery. The aim of this work was to investigate whether specific AT factors may have prognostic value in estrogen receptor-positive (ER+) BC. Proteoglycan Versican (VCAN), Insulin-like Growth Factor 1 (IGF1), Reticulon 4B (RTN4), chemokines CCL5 (also known as RANTES) and interleukin 8 (IL-8) are expressed in AT and may play important roles in BC progression. Peritumoral AT and tumoral biopsies were obtained from patients with ER+ BC (N = 23). AT specimens were collected also from healthy women (N = 17; CTRL-AT). The analysis of gene expression by qPCR revealed significantly higher mRNA levels of VCAN, IGF1, RTN4, and CCL5 in BC-AT compared to the CTRL-AT, and no difference in IL-8 mRNA levels. VCAN positively correlated with patient Body Mass Index (BMI) in BC-AT, while not in CTRL-AT. Moreover, VCAN and IGF1 positively correlated with RTN4 and negatively with CCL5. Interestingly, VCAN correlated with tumoral Ki67, while IGF1 with tumoral OCT4 that, in turn, correlated with tumoral Ki67 and patient BMI. Thus, peritumoral AT content of VCAN, and IGF1 are related to BC proliferation and aggressiveness.
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- 2024
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3. Predicting Ordinary Differential Equations with Transformers
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Becker, Sören, Klein, Michal, Neitz, Alexander, Parascandolo, Giambattista, and Kilbertus, Niki
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Computer Science - Machine Learning - Abstract
We develop a transformer-based sequence-to-sequence model that recovers scalar ordinary differential equations (ODEs) in symbolic form from irregularly sampled and noisy observations of a single solution trajectory. We demonstrate in extensive empirical evaluations that our model performs better or on par with existing methods in terms of accurate recovery across various settings. Moreover, our method is efficiently scalable: after one-time pretraining on a large set of ODEs, we can infer the governing law of a new observed solution in a few forward passes of the model., Comment: Published at ICML 2023
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- 2023
4. GPT-4 Technical Report
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OpenAI, Achiam, Josh, Adler, Steven, Agarwal, Sandhini, Ahmad, Lama, Akkaya, Ilge, Aleman, Florencia Leoni, Almeida, Diogo, Altenschmidt, Janko, Altman, Sam, Anadkat, Shyamal, Avila, Red, Babuschkin, Igor, Balaji, Suchir, Balcom, Valerie, Baltescu, Paul, Bao, Haiming, Bavarian, Mohammad, Belgum, Jeff, Bello, Irwan, Berdine, Jake, Bernadett-Shapiro, Gabriel, Berner, Christopher, Bogdonoff, Lenny, Boiko, Oleg, Boyd, Madelaine, Brakman, Anna-Luisa, Brockman, Greg, Brooks, Tim, Brundage, Miles, Button, Kevin, Cai, Trevor, Campbell, Rosie, Cann, Andrew, Carey, Brittany, Carlson, Chelsea, Carmichael, Rory, Chan, Brooke, Chang, Che, Chantzis, Fotis, Chen, Derek, Chen, Sully, Chen, Ruby, Chen, Jason, Chen, Mark, Chess, Ben, Cho, Chester, Chu, Casey, Chung, Hyung Won, Cummings, Dave, Currier, Jeremiah, Dai, Yunxing, Decareaux, Cory, Degry, Thomas, Deutsch, Noah, Deville, Damien, Dhar, Arka, Dohan, David, Dowling, Steve, Dunning, Sheila, Ecoffet, Adrien, Eleti, Atty, Eloundou, Tyna, Farhi, David, Fedus, Liam, Felix, Niko, Fishman, Simón Posada, Forte, Juston, Fulford, Isabella, Gao, Leo, Georges, Elie, Gibson, Christian, Goel, Vik, Gogineni, Tarun, Goh, Gabriel, Gontijo-Lopes, Rapha, Gordon, Jonathan, Grafstein, Morgan, Gray, Scott, Greene, Ryan, Gross, Joshua, Gu, Shixiang Shane, Guo, Yufei, Hallacy, Chris, Han, Jesse, Harris, Jeff, He, Yuchen, Heaton, Mike, Heidecke, Johannes, Hesse, Chris, Hickey, Alan, Hickey, Wade, Hoeschele, Peter, Houghton, Brandon, Hsu, Kenny, Hu, Shengli, Hu, Xin, Huizinga, Joost, Jain, Shantanu, Jain, Shawn, Jang, Joanne, Jiang, Angela, Jiang, Roger, Jin, Haozhun, Jin, Denny, Jomoto, Shino, Jonn, Billie, Jun, Heewoo, Kaftan, Tomer, Kaiser, Łukasz, Kamali, Ali, Kanitscheider, Ingmar, Keskar, Nitish Shirish, Khan, Tabarak, Kilpatrick, Logan, Kim, Jong Wook, Kim, Christina, Kim, Yongjik, Kirchner, Jan Hendrik, Kiros, Jamie, Knight, Matt, Kokotajlo, Daniel, Kondraciuk, Łukasz, Kondrich, Andrew, Konstantinidis, Aris, Kosic, Kyle, Krueger, Gretchen, Kuo, Vishal, Lampe, Michael, Lan, Ikai, Lee, Teddy, Leike, Jan, Leung, Jade, Levy, Daniel, Li, Chak Ming, Lim, Rachel, Lin, Molly, Lin, Stephanie, Litwin, Mateusz, Lopez, Theresa, Lowe, Ryan, Lue, Patricia, Makanju, Anna, Malfacini, Kim, Manning, Sam, Markov, Todor, Markovski, Yaniv, Martin, Bianca, Mayer, Katie, Mayne, Andrew, McGrew, Bob, McKinney, Scott Mayer, McLeavey, Christine, McMillan, Paul, McNeil, Jake, Medina, David, Mehta, Aalok, Menick, Jacob, Metz, Luke, Mishchenko, Andrey, Mishkin, Pamela, Monaco, Vinnie, Morikawa, Evan, Mossing, Daniel, Mu, Tong, Murati, Mira, Murk, Oleg, Mély, David, Nair, Ashvin, Nakano, Reiichiro, Nayak, Rajeev, Neelakantan, Arvind, Ngo, Richard, Noh, Hyeonwoo, Ouyang, Long, O'Keefe, Cullen, Pachocki, Jakub, Paino, Alex, Palermo, Joe, Pantuliano, Ashley, Parascandolo, Giambattista, Parish, Joel, Parparita, Emy, Passos, Alex, Pavlov, Mikhail, Peng, Andrew, Perelman, Adam, Peres, Filipe de Avila Belbute, Petrov, Michael, Pinto, Henrique Ponde de Oliveira, Michael, Pokorny, Pokrass, Michelle, Pong, Vitchyr H., Powell, Tolly, Power, Alethea, Power, Boris, Proehl, Elizabeth, Puri, Raul, Radford, Alec, Rae, Jack, Ramesh, Aditya, Raymond, Cameron, Real, Francis, Rimbach, Kendra, Ross, Carl, Rotsted, Bob, Roussez, Henri, Ryder, Nick, Saltarelli, Mario, Sanders, Ted, Santurkar, Shibani, Sastry, Girish, Schmidt, Heather, Schnurr, David, Schulman, John, Selsam, Daniel, Sheppard, Kyla, Sherbakov, Toki, Shieh, Jessica, Shoker, Sarah, Shyam, Pranav, Sidor, Szymon, Sigler, Eric, Simens, Maddie, Sitkin, Jordan, Slama, Katarina, Sohl, Ian, Sokolowsky, Benjamin, Song, Yang, Staudacher, Natalie, Such, Felipe Petroski, Summers, Natalie, Sutskever, Ilya, Tang, Jie, Tezak, Nikolas, Thompson, Madeleine B., Tillet, Phil, Tootoonchian, Amin, Tseng, Elizabeth, Tuggle, Preston, Turley, Nick, Tworek, Jerry, Uribe, Juan Felipe Cerón, Vallone, Andrea, Vijayvergiya, Arun, Voss, Chelsea, Wainwright, Carroll, Wang, Justin Jay, Wang, Alvin, Wang, Ben, Ward, Jonathan, Wei, Jason, Weinmann, CJ, Welihinda, Akila, Welinder, Peter, Weng, Jiayi, Weng, Lilian, Wiethoff, Matt, Willner, Dave, Winter, Clemens, Wolrich, Samuel, Wong, Hannah, Workman, Lauren, Wu, Sherwin, Wu, Jeff, Wu, Michael, Xiao, Kai, Xu, Tao, Yoo, Sarah, Yu, Kevin, Yuan, Qiming, Zaremba, Wojciech, Zellers, Rowan, Zhang, Chong, Zhang, Marvin, Zhao, Shengjia, Zheng, Tianhao, Zhuang, Juntang, Zhuk, William, and Zoph, Barret
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks, including passing a simulated bar exam with a score around the top 10% of test takers. GPT-4 is a Transformer-based model pre-trained to predict the next token in a document. The post-training alignment process results in improved performance on measures of factuality and adherence to desired behavior. A core component of this project was developing infrastructure and optimization methods that behave predictably across a wide range of scales. This allowed us to accurately predict some aspects of GPT-4's performance based on models trained with no more than 1/1,000th the compute of GPT-4., Comment: 100 pages; updated authors list; fixed author names and added citation
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- 2023
5. Discovering ordinary differential equations that govern time-series
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Becker, Sören, Klein, Michal, Neitz, Alexander, Parascandolo, Giambattista, and Kilbertus, Niki
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Computer Science - Machine Learning - Abstract
Natural laws are often described through differential equations yet finding a differential equation that describes the governing law underlying observed data is a challenging and still mostly manual task. In this paper we make a step towards the automation of this process: we propose a transformer-based sequence-to-sequence model that recovers scalar autonomous ordinary differential equations (ODEs) in symbolic form from time-series data of a single observed solution of the ODE. Our method is efficiently scalable: after one-time pretraining on a large set of ODEs, we can infer the governing laws of a new observed solution in a few forward passes of the model. Then we show that our model performs better or on par with existing methods in various test cases in terms of accurate symbolic recovery of the ODE, especially for more complex expressions., Comment: Workshop paper at NeurIPS 2022 workshop "AI for Science"
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- 2022
6. Role of Nutrition in the Management of Patients with Chronic Musculoskeletal Pain
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Cuomo A and Parascandolo I
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chronic musculoskeletal pain ,diet ,nutrition ,treatment ,biopsychosocial ,holistic ,Medicine (General) ,R5-920 - Abstract
Arturo Cuomo,1,* Ileana Parascandolo2,* 1Division of Anesthesia and Pain Medicine, Istituto Nazionale Tumori, IRCCS - Fondazione G Pascale, Naples, Italy; 2Istituto Nazionale Tumori, IRCCS - Fondazione G Pascale, Naples, Italy*These authors contributed equally to this workCorrespondence: Arturo Cuomo, Email a.cuomo@istitutotumori.na.itAbstract: Chronic musculoskeletal pain (CMP), defined as persistent discomfort in musculoskeletal tissues persisting for over 3 months, afflicts an estimated 1.71 billion people globally, leading to significant functional impairments and psychological distress, thereby detrimentally affecting individuals’ quality of life. The objective of this narrative review is to elucidate the complex relationship among dietary habits, sarcopenia, and gut microbiota composition, with an eye toward enhancing patient management and outcomes. Given the burgeoning interest in the influence of diet on CMP, a detailed examination of the current literature is warranted. Nutritional intake is a critical determinant of the gut microbiota profile, which, in turn, is linked to musculature integrity and performance, potentially leading to sarcopenia. The development of sarcopenia can aggravate CMP owing to diminished muscular strength and functionality. Additionally, disruptions in the gut microbiota may directly modulate nociception, intensifying CMP manifestations. Thus, nutritional optimization emerges as a viable approach to CMP management. Emphasizing a diet conducive to a healthy gut microbiome could forestall or mitigate sarcopenia, thereby attenuating CMP intensity. Nevertheless, the domain calls for further empirical exploration to unravel the nuances of these interactions and to forge efficacious dietary strategies for individuals with CMP. Beyond mere analgesia, comprehensive patient care for CMP requires acknowledgment of the complex and multifactorial nature of pain and its foundational elements. Embracing an integrative treatment model allows healthcare practitioners to promise better patient prognoses, enriched life quality, and a decrease in the sustained healthcare costs associated with CMP.Plain Language Summary: Chronic musculoskeletal pain (CMP) is long-lasting pain in the bones, muscles, and joints, and it’s a common problem affecting over 1.7 billion people worldwide. This kind of pain can really disrupt someone’s daily life, making it hard to do everyday things and causing a lot of stress.This review is like a deep dive into how eating habits, muscle loss, and the tiny organisms living in our guts all connect to this pain. As we are becoming more curious about how food affects CMP, it’s important to look closely at what we already know.What we eat can change the tiny bugs in our guts, which has a big impact on our muscles. If our muscles get weak and shrink (a condition called sarcopenia), it can make CMP worse because weak muscles cannot support our bodies well. Also, if the balance of bugs in our gut is off, it might even make us feel pain more intensely. So, changing what we eat might be a good way to tackle CMP. Eating foods that keep our gut bugs happy might help prevent muscle loss and reduce pain. But we still need to do more research to understand this better and to figure out the best foods to eat for this purpose.Treating CMP is not just about getting rid of the pain; it’s about looking at the whole picture and all the things that contribute to the pain. By considering everything — from our diet to our muscles to our gut bugs — doctors can help improve the lives of people with CMP, making them more comfortable and possibly reducing medical costs in the long run.Keywords: chronic musculoskeletal pain, diet, nutrition, treatment, biopsychosocial, holistic
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- 2024
7. One-neutron stripping process in the 209Bi(6Li, 5Li)210Bi* reaction reaction
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Zhang, Gao-Long, Jiao, Zhen-Wei, Zhang, Guang-Xin, Cardozo, E. N., Paes, B., Hu, Shi-Peng, Qian, Jian-Qiang, Mengoni, Daniele, Qu, Wei-Wei, Li, Cong-Bo, Zheng, Yun, Zhang, Huan-Qiao, Sun, Hui-Bin, Wang, Nan, Zhang, Chun-Lei, Valiente-Dobón, J. J., Testov, D., Mazzocco, M., Gozzelino, A., Parascandolo, C., Pierroutsakou, D., La Commara, M., Goasduff, A., Bazzacco, D., Napoli, D. R., Galtarossa, F., Recchia, F., Illana, A., Bakes, S., Zanon, I., Aydin, S., de Angelis, G., Siciliano, M., Menegazzo, R., Lenzi, S. M., Akkoyun, S., Canto, L. F., and Lubian, J.
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- 2024
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8. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
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Srivastava, Aarohi, Rastogi, Abhinav, Rao, Abhishek, Shoeb, Abu Awal Md, Abid, Abubakar, Fisch, Adam, Brown, Adam R., Santoro, Adam, Gupta, Aditya, Garriga-Alonso, Adrià, Kluska, Agnieszka, Lewkowycz, Aitor, Agarwal, Akshat, Power, Alethea, Ray, Alex, Warstadt, Alex, Kocurek, Alexander W., Safaya, Ali, Tazarv, Ali, Xiang, Alice, Parrish, Alicia, Nie, Allen, Hussain, Aman, Askell, Amanda, Dsouza, Amanda, Slone, Ambrose, Rahane, Ameet, Iyer, Anantharaman S., Andreassen, Anders, Madotto, Andrea, Santilli, Andrea, Stuhlmüller, Andreas, Dai, Andrew, La, Andrew, Lampinen, Andrew, Zou, Andy, Jiang, Angela, Chen, Angelica, Vuong, Anh, Gupta, Animesh, Gottardi, Anna, Norelli, Antonio, Venkatesh, Anu, Gholamidavoodi, Arash, Tabassum, Arfa, Menezes, Arul, Kirubarajan, Arun, Mullokandov, Asher, Sabharwal, Ashish, Herrick, Austin, Efrat, Avia, Erdem, Aykut, Karakaş, Ayla, Roberts, B. Ryan, Loe, Bao Sheng, Zoph, Barret, Bojanowski, Bartłomiej, Özyurt, Batuhan, Hedayatnia, Behnam, Neyshabur, Behnam, Inden, Benjamin, Stein, Benno, Ekmekci, Berk, Lin, Bill Yuchen, Howald, Blake, Orinion, Bryan, Diao, Cameron, Dour, Cameron, Stinson, Catherine, Argueta, Cedrick, Ramírez, César Ferri, Singh, Chandan, Rathkopf, Charles, Meng, Chenlin, Baral, Chitta, Wu, Chiyu, Callison-Burch, Chris, Waites, Chris, Voigt, Christian, Manning, Christopher D., Potts, Christopher, Ramirez, Cindy, Rivera, Clara E., Siro, Clemencia, Raffel, Colin, Ashcraft, Courtney, Garbacea, Cristina, Sileo, Damien, Garrette, Dan, Hendrycks, Dan, Kilman, Dan, Roth, Dan, Freeman, Daniel, Khashabi, Daniel, Levy, Daniel, González, Daniel Moseguí, Perszyk, Danielle, Hernandez, Danny, Chen, Danqi, Ippolito, Daphne, Gilboa, Dar, Dohan, David, Drakard, David, Jurgens, David, Datta, Debajyoti, Ganguli, Deep, Emelin, Denis, Kleyko, Denis, Yuret, Deniz, Chen, Derek, Tam, Derek, Hupkes, Dieuwke, Misra, Diganta, Buzan, Dilyar, Mollo, Dimitri Coelho, Yang, Diyi, Lee, Dong-Ho, Schrader, Dylan, Shutova, Ekaterina, Cubuk, Ekin Dogus, Segal, Elad, Hagerman, Eleanor, Barnes, Elizabeth, Donoway, Elizabeth, Pavlick, Ellie, Rodola, Emanuele, Lam, Emma, Chu, Eric, Tang, Eric, Erdem, Erkut, Chang, Ernie, Chi, Ethan A., Dyer, Ethan, Jerzak, Ethan, Kim, Ethan, Manyasi, Eunice Engefu, Zheltonozhskii, Evgenii, Xia, Fanyue, Siar, Fatemeh, Martínez-Plumed, Fernando, Happé, Francesca, Chollet, Francois, Rong, Frieda, Mishra, Gaurav, Winata, Genta Indra, de Melo, Gerard, Kruszewski, Germán, Parascandolo, Giambattista, Mariani, Giorgio, Wang, Gloria, Jaimovitch-López, Gonzalo, Betz, Gregor, Gur-Ari, Guy, Galijasevic, Hana, Kim, Hannah, Rashkin, Hannah, Hajishirzi, Hannaneh, Mehta, Harsh, Bogar, Hayden, Shevlin, Henry, Schütze, Hinrich, Yakura, Hiromu, Zhang, Hongming, Wong, Hugh Mee, Ng, Ian, Noble, Isaac, Jumelet, Jaap, Geissinger, Jack, Kernion, Jackson, Hilton, Jacob, Lee, Jaehoon, Fisac, Jaime Fernández, Simon, James B., Koppel, James, Zheng, James, Zou, James, Kocoń, Jan, Thompson, Jana, Wingfield, Janelle, Kaplan, Jared, Radom, Jarema, Sohl-Dickstein, Jascha, Phang, Jason, Wei, Jason, Yosinski, Jason, Novikova, Jekaterina, Bosscher, Jelle, Marsh, Jennifer, Kim, Jeremy, Taal, Jeroen, Engel, Jesse, Alabi, Jesujoba, Xu, Jiacheng, Song, Jiaming, Tang, Jillian, Waweru, Joan, Burden, John, Miller, John, Balis, John U., Batchelder, Jonathan, Berant, Jonathan, Frohberg, Jörg, Rozen, Jos, Hernandez-Orallo, Jose, Boudeman, Joseph, Guerr, Joseph, Jones, Joseph, Tenenbaum, Joshua B., Rule, Joshua S., Chua, Joyce, Kanclerz, Kamil, Livescu, Karen, Krauth, Karl, Gopalakrishnan, Karthik, Ignatyeva, Katerina, Markert, Katja, Dhole, Kaustubh D., Gimpel, Kevin, Omondi, Kevin, Mathewson, Kory, Chiafullo, Kristen, Shkaruta, Ksenia, Shridhar, Kumar, McDonell, Kyle, Richardson, Kyle, Reynolds, Laria, Gao, Leo, Zhang, Li, Dugan, Liam, Qin, Lianhui, Contreras-Ochando, Lidia, Morency, Louis-Philippe, Moschella, Luca, Lam, Lucas, Noble, Lucy, Schmidt, Ludwig, He, Luheng, Colón, Luis Oliveros, Metz, Luke, Şenel, Lütfi Kerem, Bosma, Maarten, Sap, Maarten, ter Hoeve, Maartje, Farooqi, Maheen, Faruqui, Manaal, Mazeika, Mantas, Baturan, Marco, Marelli, Marco, Maru, Marco, Quintana, Maria Jose Ramírez, Tolkiehn, Marie, Giulianelli, Mario, Lewis, Martha, Potthast, Martin, Leavitt, Matthew L., Hagen, Matthias, Schubert, Mátyás, Baitemirova, Medina Orduna, Arnaud, Melody, McElrath, Melvin, Yee, Michael A., Cohen, Michael, Gu, Michael, Ivanitskiy, Michael, Starritt, Michael, Strube, Michael, Swędrowski, Michał, Bevilacqua, Michele, Yasunaga, Michihiro, Kale, Mihir, Cain, Mike, Xu, Mimee, Suzgun, Mirac, Walker, Mitch, Tiwari, Mo, Bansal, Mohit, Aminnaseri, Moin, Geva, Mor, Gheini, Mozhdeh, T, Mukund Varma, Peng, Nanyun, Chi, Nathan A., Lee, Nayeon, Krakover, Neta Gur-Ari, Cameron, Nicholas, Roberts, Nicholas, Doiron, Nick, Martinez, Nicole, Nangia, Nikita, Deckers, Niklas, Muennighoff, Niklas, Keskar, Nitish Shirish, Iyer, Niveditha S., Constant, Noah, Fiedel, Noah, Wen, Nuan, Zhang, Oliver, Agha, Omar, Elbaghdadi, Omar, Levy, Omer, Evans, Owain, Casares, Pablo Antonio Moreno, Doshi, Parth, Fung, Pascale, Liang, Paul Pu, Vicol, Paul, Alipoormolabashi, Pegah, Liao, Peiyuan, Liang, Percy, Chang, Peter, Eckersley, Peter, Htut, Phu Mon, Hwang, Pinyu, Miłkowski, Piotr, Patil, Piyush, Pezeshkpour, Pouya, Oli, Priti, Mei, Qiaozhu, Lyu, Qing, Chen, Qinlang, Banjade, Rabin, Rudolph, Rachel Etta, Gabriel, Raefer, Habacker, Rahel, Risco, Ramon, Millière, Raphaël, Garg, Rhythm, Barnes, Richard, Saurous, Rif A., Arakawa, Riku, Raymaekers, Robbe, Frank, Robert, Sikand, Rohan, Novak, Roman, Sitelew, Roman, LeBras, Ronan, Liu, Rosanne, Jacobs, Rowan, Zhang, Rui, Salakhutdinov, Ruslan, Chi, Ryan, Lee, Ryan, Stovall, Ryan, Teehan, Ryan, Yang, Rylan, Singh, Sahib, Mohammad, Saif M., Anand, Sajant, Dillavou, Sam, Shleifer, Sam, Wiseman, Sam, Gruetter, Samuel, Bowman, Samuel R., Schoenholz, Samuel S., Han, Sanghyun, Kwatra, Sanjeev, Rous, Sarah A., Ghazarian, Sarik, Ghosh, Sayan, Casey, Sean, Bischoff, Sebastian, Gehrmann, Sebastian, Schuster, Sebastian, Sadeghi, Sepideh, Hamdan, Shadi, Zhou, Sharon, Srivastava, Shashank, Shi, Sherry, Singh, Shikhar, Asaadi, Shima, Gu, Shixiang Shane, Pachchigar, Shubh, Toshniwal, Shubham, Upadhyay, Shyam, Shyamolima, Debnath, Shakeri, Siamak, Thormeyer, Simon, Melzi, Simone, Reddy, Siva, Makini, Sneha Priscilla, Lee, Soo-Hwan, Torene, Spencer, Hatwar, Sriharsha, Dehaene, Stanislas, Divic, Stefan, Ermon, Stefano, Biderman, Stella, Lin, Stephanie, Prasad, Stephen, Piantadosi, Steven T., Shieber, Stuart M., Misherghi, Summer, Kiritchenko, Svetlana, Mishra, Swaroop, Linzen, Tal, Schuster, Tal, Li, Tao, Yu, Tao, Ali, Tariq, Hashimoto, Tatsu, Wu, Te-Lin, Desbordes, Théo, Rothschild, Theodore, Phan, Thomas, Wang, Tianle, Nkinyili, Tiberius, Schick, Timo, Kornev, Timofei, Tunduny, Titus, Gerstenberg, Tobias, Chang, Trenton, Neeraj, Trishala, Khot, Tushar, Shultz, Tyler, Shaham, Uri, Misra, Vedant, Demberg, Vera, Nyamai, Victoria, Raunak, Vikas, Ramasesh, Vinay, Prabhu, Vinay Uday, Padmakumar, Vishakh, Srikumar, Vivek, Fedus, William, Saunders, William, Zhang, William, Vossen, Wout, Ren, Xiang, Tong, Xiaoyu, Zhao, Xinran, Wu, Xinyi, Shen, Xudong, Yaghoobzadeh, Yadollah, Lakretz, Yair, Song, Yangqiu, Bahri, Yasaman, Choi, Yejin, Yang, Yichi, Hao, Yiding, Chen, Yifu, Belinkov, Yonatan, Hou, Yu, Hou, Yufang, Bai, Yuntao, Seid, Zachary, Zhao, Zhuoye, Wang, Zijian, Wang, Zijie J., Wang, Zirui, and Wu, Ziyi
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Computers and Society ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabilities are as yet poorly characterized. In order to inform future research, prepare for disruptive new model capabilities, and ameliorate socially harmful effects, it is vital that we understand the present and near-future capabilities and limitations of language models. To address this challenge, we introduce the Beyond the Imitation Game benchmark (BIG-bench). BIG-bench currently consists of 204 tasks, contributed by 450 authors across 132 institutions. Task topics are diverse, drawing problems from linguistics, childhood development, math, common-sense reasoning, biology, physics, social bias, software development, and beyond. BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models. We evaluate the behavior of OpenAI's GPT models, Google-internal dense transformer architectures, and Switch-style sparse transformers on BIG-bench, across model sizes spanning millions to hundreds of billions of parameters. In addition, a team of human expert raters performed all tasks in order to provide a strong baseline. Findings include: model performance and calibration both improve with scale, but are poor in absolute terms (and when compared with rater performance); performance is remarkably similar across model classes, though with benefits from sparsity; tasks that improve gradually and predictably commonly involve a large knowledge or memorization component, whereas tasks that exhibit "breakthrough" behavior at a critical scale often involve multiple steps or components, or brittle metrics; social bias typically increases with scale in settings with ambiguous context, but this can be improved with prompting., Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench
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- 2022
9. Explanatory Learning: Beyond Empiricism in Neural Networks
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Norelli, Antonio, Mariani, Giorgio, Moschella, Luca, Santilli, Andrea, Parascandolo, Giambattista, Melzi, Simone, and Rodolà, Emanuele
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Physics - History and Philosophy of Physics - Abstract
We introduce Explanatory Learning (EL), a framework to let machines use existing knowledge buried in symbolic sequences -- e.g. explanations written in hieroglyphic -- by autonomously learning to interpret them. In EL, the burden of interpreting symbols is not left to humans or rigid human-coded compilers, as done in Program Synthesis. Rather, EL calls for a learned interpreter, built upon a limited collection of symbolic sequences paired with observations of several phenomena. This interpreter can be used to make predictions on a novel phenomenon given its explanation, and even to find that explanation using only a handful of observations, like human scientists do. We formulate the EL problem as a simple binary classification task, so that common end-to-end approaches aligned with the dominant empiricist view of machine learning could, in principle, solve it. To these models, we oppose Critical Rationalist Networks (CRNs), which instead embrace a rationalist view on the acquisition of knowledge. CRNs express several desired properties by construction, they are truly explainable, can adjust their processing at test-time for harder inferences, and can offer strong confidence guarantees on their predictions. As a final contribution, we introduce Odeen, a basic EL environment that simulates a small flatland-style universe full of phenomena to explain. Using Odeen as a testbed, we show how CRNs outperform empiricist end-to-end approaches of similar size and architecture (Transformers) in discovering explanations for novel phenomena., Comment: Main paper: 10 pages, References: 3 pages, Appendix: 7 pages
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- 2022
10. The 27Al(p,a)24Mg reaction at astrophysical energies studied by means of the Trojan Horse Method applied to the 2H(27Al,a24Mg)n reaction
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Palmerini, Sara, La Cognata, Marco, Hammache, Fairouz, Acosta, Luis, Alba, Rosa, Burjan, Vaclav, Chavez, Efrain, Cherubini, Silvio, Cvetinovic, Alexandra, D'Agata, Giuseppe, De Sereville, Nicolas, Di Pietro, Alessia, Figuera, Pierpaolo, Fullop, Zsolt, Rios, Karen De Los, Guardo, Giovanni Luca, Gulino, Marisa, Hayakawa, Seiya, Kiss, Gabor, La Commara, Marco, Lamia, Livio, Manicò, Concetta Maiolino Giulio, Matei, Catalin, Mazzocco, Marco, Mrazek, Jaromir, Parascandolo, Tina, Petruse, Teodora, Pierroutsakou, Dimitra, Pizzone, Rosario Gianluca, Rapisarsa, Giuseppe Gabriele, Romano, Stefano, Santonocito, Domenico, Sergi, Maria Letizia, Spartà, Roberta, Tumino, Aurora, and Yamaguchi, Hidetoshi
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Nuclear Experiment ,Astrophysics - Solar and Stellar Astrophysics - Abstract
The 27Al(p,a)24Mg reaction, which drives the destruction of 27Al and the production of 24Mg in stellar hydrogen burning, has been investigated via the Trojan Horse Method (THM) by measuring the 2H(27Al,a24Mg)n three-body reaction. The experiment covered a broad energy range (-0.5 MeV < E_cm < 1.5 MeV), aiming to investigate those of interest for astrophysics.The results confirm the THM as a valuable technique for the experimental study of fusion reactions at very low energies and suggest the presence of a rich pattern of resonances in the energy region close to the Gamow window of stellar hydrogen burning (70-120 keV), with potential impact on astrophysics. To estimate such an impact a second run of the experiment is needed, since the background due the three-body reaction hampered to collect enough data to resolve the resonant structures and extract the reaction rate., Comment: 8 pages, accepted for publication by EPJ Plus
- Published
- 2021
11. Neural Symbolic Regression that Scales
- Author
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Biggio, Luca, Bendinelli, Tommaso, Neitz, Alexander, Lucchi, Aurelien, and Parascandolo, Giambattista
- Subjects
Computer Science - Machine Learning - Abstract
Symbolic equations are at the core of scientific discovery. The task of discovering the underlying equation from a set of input-output pairs is called symbolic regression. Traditionally, symbolic regression methods use hand-designed strategies that do not improve with experience. In this paper, we introduce the first symbolic regression method that leverages large scale pre-training. We procedurally generate an unbounded set of equations, and simultaneously pre-train a Transformer to predict the symbolic equation from a corresponding set of input-output-pairs. At test time, we query the model on a new set of points and use its output to guide the search for the equation. We show empirically that this approach can re-discover a set of well-known physical equations, and that it improves over time with more data and compute., Comment: Accepted at the 38th International Conference on Machine Learning (ICML) 2021
- Published
- 2021
12. Allergic Contact Dermatitis Reaction to Permanent Tattoo Containing Paraphenylenediamine: A Case Report
- Author
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Eliot Parascandolo, Samuel Puglisi, Miguel Marenco, and Gregory Puglisi
- Subjects
Immunologic diseases. Allergy ,RC581-607 - Abstract
Paraphenylenediamine (PPD) is a well-known culprit allergen in the literature and clinical practice. Although this has been described in temporary tattoos, the definite implication of PPD in permanent tattoos has not been described. We report a patient who developed severe allergic contact dermatitis (ACD) requiring skin grafting after receiving a permanent tattoo with ink containing PPD. A 30-year-old female with a past history of atopic dermatitis and psoriasis presented with a 2-week history of cutaneous reaction to a recent tattoo. The patient noticed inflammation and irritation of the tattoo site the day after administration. The patient was previously identified on patch testing to have a PPD allergy after evaluation for dermatitis after hair dye application. Following the tattoo placement, she applied soap and bacitracin cream which she had used several years prior on a similar tattoo. On presentation 2 weeks later, she was found to have a deep ulcerated plaque with an indurated border encompassing the area of the tattoo. She was referred to the emergency department and admitted for treatment, ultimately requiring debridement and skin grafting. The patient obtained the safety data sheets for the tattoo inks which revealed PPD as an ingredient in every color. We believe this is the first confirmed case of PPD being implicated as the causative agent for ACD to a permanent tattoo. Tattoo ink is unregulated, and formulas are proprietary which makes safe practice difficult for patients with sensitivities. We advocate for consistent ingredient labeling, regulation, and transparency within the tattoo ink industry.
- Published
- 2024
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13. Learning explanations that are hard to vary
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Parascandolo, Giambattista, Neitz, Alexander, Orvieto, Antonio, Gresele, Luigi, and Schölkopf, Bernhard
- Subjects
Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
In this paper, we investigate the principle that `good explanations are hard to vary' in the context of deep learning. We show that averaging gradients across examples -- akin to a logical OR of patterns -- can favor memorization and `patchwork' solutions that sew together different strategies, instead of identifying invariances. To inspect this, we first formalize a notion of consistency for minima of the loss surface, which measures to what extent a minimum appears only when examples are pooled. We then propose and experimentally validate a simple alternative algorithm based on a logical AND, that focuses on invariances and prevents memorization in a set of real-world tasks. Finally, using a synthetic dataset with a clear distinction between invariant and spurious mechanisms, we dissect learning signals and compare this approach to well-established regularizers., Comment: From v1: extended 2.2 and 2.3, added details for reproducibility and link to codebase
- Published
- 2020
14. Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
- Author
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Parascandolo, Giambattista, Buesing, Lars, Merel, Josh, Hasenclever, Leonard, Aslanides, John, Hamrick, Jessica B., Heess, Nicolas, Neitz, Alexander, and Weber, Theophane
- Subjects
Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Statistics - Machine Learning - Abstract
Standard planners for sequential decision making (including Monte Carlo planning, tree search, dynamic programming, etc.) are constrained by an implicit sequential planning assumption: The order in which a plan is constructed is the same in which it is executed. We consider alternatives to this assumption for the class of goal-directed Reinforcement Learning (RL) problems. Instead of an environment transition model, we assume an imperfect, goal-directed policy. This low-level policy can be improved by a plan, consisting of an appropriate sequence of sub-goals that guide it from the start to the goal state. We propose a planning algorithm, Divide-and-Conquer Monte Carlo Tree Search (DC-MCTS), for approximating the optimal plan by means of proposing intermediate sub-goals which hierarchically partition the initial tasks into simpler ones that are then solved independently and recursively. The algorithm critically makes use of a learned sub-goal proposal for finding appropriate partitions trees of new tasks based on prior experience. Different strategies for learning sub-goal proposals give rise to different planning strategies that strictly generalize sequential planning. We show that this algorithmic flexibility over planning order leads to improved results in navigation tasks in grid-worlds as well as in challenging continuous control environments.
- Published
- 2020
15. Democratic Promises and Technocratic Achievements. Social Management of Pandemics and Public Production of Space
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Fabio Parascandolo, Rossano Pazzagli, and Daniela Poli
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pandemic ,technology ,territory ,democracy ,local community ,Architectural drawing and design ,NA2695-2793 ,Aesthetics of cities. City planning and beautifying ,NA9000-9428 - Abstract
This article reads the technological management of complex and global events, including SARS-CoV-2 pandemic, as part of the transition of European democracies towards control and surveillance models imposed by normal emergencies following one another with increasing frequency. The text reflects on pandemics along history, on the technocratic and digital trajectory of contemporary societies, and concludes by outlining local-based forms of self-government.
- Published
- 2023
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- View/download PDF
16. Breakup of the proton halo nucleus 8B near barrier energies
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L. Yang, C. J. Lin, H. Yamaguchi, A. M. Moro, N. R. Ma, D. X. Wang, K. J. Cook, M. Mazzocco, P. W. Wen, S. Hayakawa, J. S. Wang, Y. Y. Yang, G. L. Zhang, Z. Huang, A. Inoue, H. M. Jia, D. Kahl, A. Kim, M. S. Kwag, M. La Commara, G. M. Gu, S. Okamoto, C. Parascandolo, D. Pierroutsakou, H. Shimizu, H. H. Sun, M. L. Wang, F. Yang, and F. P. Zhong
- Subjects
Science - Abstract
Halo-structured nuclei are examples of many-body open quantum system. Here the authors use a complete kinematics measurement and find an elastic breakup of proton halo nucleus 8B.
- Published
- 2022
- Full Text
- View/download PDF
17. Suppression of Coulomb-nuclear interference in the near-barrier elastic scattering of 17Ne from 208Pb
- Author
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J.D. Ovejas, I. Martel, D. Dell'Aquila, L. Acosta, J.L. Aguado, G. de Angelis, M.J.G. Borge, J.A. Briz, A. Chbihi, G. Colucci, C. Díaz-Martín, P. Figuera, D. Galaviz, C. García-Ramos, J.A. Gómez-Galán, C.A. Gonzales, N. Goyal, N. Keeley, K.W. Kemper, T. Kurtukian Nieto, D.J. Malenica, M. Mazzocco, D. Nurkić, A.K. Orduz, A. Ortiz, L. Palada, C. Parascandolo, A. Di Pietro, A.M. Rodriguez, K. Rusek, F. Salguero, A.M. Sánchez-Benítez, M. Sánchez-Raya, J. Sánchez-Segovia, N. Soić, F. Soramel, M. Stanoiu, O. Tengblad, N. Vukman, and M. Xarepe
- Subjects
Direct nuclear reactions ,Radioactive beams ,Optical model ,Elastic scattering ,Physics ,QC1-999 - Abstract
The proton drip-line nucleus 17Ne is considered a good candidate for a Borromean two-proton halo with a 15O + p + p structure. Angular distributions of the elastic scattering and inclusive 15O production for a 136 MeV 17Ne beam incident on a 208Pb target were measured for the first time at the SPIRAL1 facility, GANIL. Use of the GLORIA detector array allowed high-resolution data over a wide angular range from 20∘ up to 95∘ in the laboratory frame to be obtained. The elastic scattering angular distribution shows similarities with those for both 6He and 20Ne at equivalent collision energies with respect to the corresponding Coulomb barriers, exhibiting the suppression of the Coulomb rainbow peak characteristic of strong coupling. Optical model and coupled channel fits suggest that this is due to a combination of coupling to low-lying quadrupole resonances and Coulomb dipole coupling to the low-lying continuum, although their relative importance depends on the relevant B(E2) values which remain to be firmly determined.
- Published
- 2023
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18. ERK2 Is a Promoter of Cancer Cell Growth and Migration in Colon Adenocarcinoma
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Alessia Parascandolo, Giulio Benincasa, Francesco Corcione, and Mikko O. Laukkanen
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colon cancer ,ERK1/2 ,SOD3 ,migration ,invasion ,proliferation ,Therapeutics. Pharmacology ,RM1-950 - Abstract
ERK1/2 phosphorylation is frequently downregulated in the early phase of colon tumorigenesis with subsequent activation of ERK5. In the current work, we studied the advantages of ERK1/2 downregulation for tumor growth by dissecting the individual functions of ERK1 and ERK2. The patient sample data demonstrated decreased ERK1/2 phosphorylation in the early phase of tumorigenesis followed by increased phosphorylation in late-stage colon adenocarcinomas with intratumoral invasion or metastasis. In vitro results indicated that SOD3-mediated coordination of small GTPase RAS regulatory genes inhibited RAS-ERK1/2 signaling. In vitro and in vivo studies suggested that ERK2 has a more prominent role in chemotactic invasion, collective migration, and cell proliferation than ERK1. Of note, simultaneous ERK1 and ERK2 expression inhibited collective cell migration and proliferation but tended to promote invasion, suggesting that ERK1 controls ERK2 function. According to the present data, phosphorylated ERK1/2 at the early phase of colon adenocarcinoma limits tumor mass expansion, whereas reactivation of the kinases at the later phase of colon carcinogenesis is associated with the initiation of metastasis. Additionally, our results suggest that ERK1 is a regulatory kinase that coordinates ERK2-promoted chemotactic invasion, collective migration, and cell proliferation. Our findings indicate that ROS, especially H2O2, are associated with the regulation of ERK1/2 phosphorylation in colon cancer by either increasing or decreasing kinase activity. These data suggest that ERK2 has a growth-promoting role and ERK1 has a regulatory role in colon tumorigenesis, which could lead to new avenues in the development of cancer therapy.
- Published
- 2024
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19. Generalization in anti-causal learning
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Kilbertus, Niki, Parascandolo, Giambattista, and Schölkopf, Bernhard
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
The ability to learn and act in novel situations is still a prerogative of animate intelligence, as current machine learning methods mostly fail when moving beyond the standard i.i.d. setting. What is the reason for this discrepancy? Most machine learning tasks are anti-causal, i.e., we infer causes (labels) from effects (observations). Typically, in supervised learning we build systems that try to directly invert causal mechanisms. Instead, in this paper we argue that strong generalization capabilities crucially hinge on searching and validating meaningful hypotheses, requiring access to a causal model. In such a framework, we want to find a cause that leads to the observed effect. Anti-causal models are used to drive this search, but a causal model is required for validation. We investigate the fundamental differences between causal and anti-causal tasks, discuss implications for topics ranging from adversarial attacks to disentangling factors of variation, and provide extensive evidence from the literature to substantiate our view. We advocate for incorporating causal models in supervised learning to shift the paradigm from inference only, to search and validation., Comment: A shorter version of this paper appeared at the workshop on `Critiquing and correcting trends in machine learning` at NeurIPS 2018
- Published
- 2018
20. Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
- Author
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Neitz, Alexander, Parascandolo, Giambattista, Bauer, Stefan, and Schölkopf, Bernhard
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We introduce a method which enables a recurrent dynamics model to be temporally abstract. Our approach, which we call Adaptive Skip Intervals (ASI), is based on the observation that in many sequential prediction tasks, the exact time at which events occur is irrelevant to the underlying objective. Moreover, in many situations, there exist prediction intervals which result in particularly easy-to-predict transitions. We show that there are prediction tasks for which we gain both computational efficiency and prediction accuracy by allowing the model to make predictions at a sampling rate which it can choose itself.
- Published
- 2018
21. Tempered Adversarial Networks
- Author
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Sajjadi, Mehdi S. M., Parascandolo, Giambattista, Mehrjou, Arash, and Schölkopf, Bernhard
- Subjects
Statistics - Machine Learning ,Computer Science - Cryptography and Security ,Computer Science - Machine Learning - Abstract
Generative adversarial networks (GANs) have been shown to produce realistic samples from high-dimensional distributions, but training them is considered hard. A possible explanation for training instabilities is the inherent imbalance between the networks: While the discriminator is trained directly on both real and fake samples, the generator only has control over the fake samples it produces since the real data distribution is fixed by the choice of a given dataset. We propose a simple modification that gives the generator control over the real samples which leads to a tempered learning process for both generator and discriminator. The real data distribution passes through a lens before being revealed to the discriminator, balancing the generator and discriminator by gradually revealing more detailed features necessary to produce high-quality results. The proposed module automatically adjusts the learning process to the current strength of the networks, yet is generic and easy to add to any GAN variant. In a number of experiments, we show that this can improve quality, stability and/or convergence speed across a range of different GAN architectures (DCGAN, LSGAN, WGAN-GP)., Comment: accepted to ICML 2018
- Published
- 2018
22. Learning Independent Causal Mechanisms
- Author
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Parascandolo, Giambattista, Kilbertus, Niki, Rojas-Carulla, Mateo, and Schölkopf, Bernhard
- Subjects
Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Statistical learning relies upon data sampled from a distribution, and we usually do not care what actually generated it in the first place. From the point of view of causal modeling, the structure of each distribution is induced by physical mechanisms that give rise to dependences between observables. Mechanisms, however, can be meaningful autonomous modules of generative models that make sense beyond a particular entailed data distribution, lending themselves to transfer between problems. We develop an algorithm to recover a set of independent (inverse) mechanisms from a set of transformed data points. The approach is unsupervised and based on a set of experts that compete for data generated by the mechanisms, driving specialization. We analyze the proposed method in a series of experiments on image data. Each expert learns to map a subset of the transformed data back to a reference distribution. The learned mechanisms generalize to novel domains. We discuss implications for transfer learning and links to recent trends in generative modeling., Comment: ICML 2018
- Published
- 2017
23. Avoiding Discrimination through Causal Reasoning
- Author
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Kilbertus, Niki, Rojas-Carulla, Mateo, Parascandolo, Giambattista, Hardt, Moritz, Janzing, Dominik, and Schölkopf, Bernhard
- Subjects
Statistics - Machine Learning ,Computer Science - Computers and Society ,Computer Science - Learning - Abstract
Recent work on fairness in machine learning has focused on various statistical discrimination criteria and how they trade off. Most of these criteria are observational: They depend only on the joint distribution of predictor, protected attribute, features, and outcome. While convenient to work with, observational criteria have severe inherent limitations that prevent them from resolving matters of fairness conclusively. Going beyond observational criteria, we frame the problem of discrimination based on protected attributes in the language of causal reasoning. This viewpoint shifts attention from "What is the right fairness criterion?" to "What do we want to assume about the causal data generating process?" Through the lens of causality, we make several contributions. First, we crisply articulate why and when observational criteria fail, thus formalizing what was before a matter of opinion. Second, our approach exposes previously ignored subtleties and why they are fundamental to the problem. Finally, we put forward natural causal non-discrimination criteria and develop algorithms that satisfy them., Comment: Advances in Neural Information Processing Systems 30, 2017 http://papers.nips.cc/paper/6668-avoiding-discrimination-through-causal-reasoning
- Published
- 2017
24. Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features
- Author
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Adavanne, Sharath, Parascandolo, Giambattista, Pertilä, Pasi, Heittola, Toni, and Virtanen, Tuomas
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Computer Science - Sound ,Computer Science - Learning - Abstract
In this paper, we propose the use of spatial and harmonic features in combination with long short term memory (LSTM) recurrent neural network (RNN) for automatic sound event detection (SED) task. Real life sound recordings typically have many overlapping sound events, making it hard to recognize with just mono channel audio. Human listeners have been successfully recognizing the mixture of overlapping sound events using pitch cues and exploiting the stereo (multichannel) audio signal available at their ears to spatially localize these events. Traditionally SED systems have only been using mono channel audio, motivated by the human listener we propose to extend them to use multichannel audio. The proposed SED system is compared against the state of the art mono channel method on the development subset of TUT sound events detection 2016 database. The usage of spatial and harmonic features are shown to improve the performance of SED.
- Published
- 2017
25. Convolutional Recurrent Neural Networks for Bird Audio Detection
- Author
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EmreÇakır, Adavanne, Sharath, Parascandolo, Giambattista, Drossos, Konstantinos, and Virtanen, Tuomas
- Subjects
Computer Science - Sound ,Computer Science - Learning ,Statistics - Machine Learning - Abstract
Bird sounds possess distinctive spectral structure which may exhibit small shifts in spectrum depending on the bird species and environmental conditions. In this paper, we propose using convolutional recurrent neural networks on the task of automated bird audio detection in real-life environments. In the proposed method, convolutional layers extract high dimensional, local frequency shift invariant features, while recurrent layers capture longer term dependencies between the features extracted from short time frames. This method achieves 88.5% Area Under ROC Curve (AUC) score on the unseen evaluation data and obtains the second place in the Bird Audio Detection challenge., Comment: Submitted to EUSIPCO 2017 Special Session on Bird Audio Signal Processing
- Published
- 2017
26. Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
- Author
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Çakır, Emre, Parascandolo, Giambattista, Heittola, Toni, Huttunen, Heikki, and Virtanen, Tuomas
- Subjects
Computer Science - Learning ,Computer Science - Sound - Abstract
Sound events often occur in unstructured environments where they exhibit wide variations in their frequency content and temporal structure. Convolutional neural networks (CNN) are able to extract higher level features that are invariant to local spectral and temporal variations. Recurrent neural networks (RNNs) are powerful in learning the longer term temporal context in the audio signals. CNNs and RNNs as classifiers have recently shown improved performances over established methods in various sound recognition tasks. We combine these two approaches in a Convolutional Recurrent Neural Network (CRNN) and apply it on a polyphonic sound event detection task. We compare the performance of the proposed CRNN method with CNN, RNN, and other established methods, and observe a considerable improvement for four different datasets consisting of everyday sound events., Comment: Accepted for IEEE Transactions on Audio, Speech and Language Processing, Special Issue on Sound Scene and Event Analysis
- Published
- 2017
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27. Human Platelet-Rich Plasma Regulates Canine Mesenchymal Stem Cell Migration through Aquaporins
- Author
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Alessia Parascandolo, Michele Francesco Di Tolla, Domenico Liguoro, Manuela Lecce, Saverio Misso, Fabiana Micieli, Maria Rosaria Ambrosio, Serena Cabaro, Francesco Beguinot, Alessandra Pelagalli, Vittoria D’Esposito, and Pietro Formisano
- Subjects
Internal medicine ,RC31-1245 - Abstract
Platelet products are commonly used in regenerative medicine due to their effects on the acceleration and promotion of wound healing, reduction of bleeding, synthesis of new connective tissue, and revascularization. Furthermore, a novel approach for the treatment of damaged tissues, following trauma or other pathological damages, is represented by the use of mesenchymal stem cells (MSCs). In dogs, both platelet-rich plasma (PRP) and MSCs have been suggested to be promising options for subacute skin wounds. However, the collection of canine PRP is not always feasible. In this study, we investigated the effect of human PRP (hPRP) on canine MSCs (cMSCs). We isolated cMSCs and observed that hPRP did not modify the expression levels of the primary class of major histocompatibility complex genes. However, hPRP was able to increase cMSC viability and migration by at least 1.5-fold. hPRP treatment enhanced both Aquaporin (AQP) 1 and AQP5 protein levels, and their inhibition by tetraethylammonium chloride led to a reduction of PRP-induced migration of cMSCs. In conclusion, we have provided evidence that hPRP supports cMSC survival and may promote cell migration, at least through AQP activation. Thus, hPRP may be useful in canine tissue regeneration and repair, placing as a promising tool for veterinary therapeutic approaches.
- Published
- 2023
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- View/download PDF
28. Breakup of the proton halo nucleus 8B near barrier energies
- Author
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Yang, L., Lin, C. J., Yamaguchi, H., Moro, A. M., Ma, N. R., Wang, D. X., Cook, K. J., Mazzocco, M., Wen, P. W., Hayakawa, S., Wang, J. S., Yang, Y. Y., Zhang, G. L., Huang, Z., Inoue, A., Jia, H. M., Kahl, D., Kim, A., Kwag, M. S., Commara, M. La, Gu, G. M., Okamoto, S., Parascandolo, C., Pierroutsakou, D., Shimizu, H., Sun, H. H., Wang, M. L., Yang, F., and Zhong, F. P.
- Published
- 2022
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- View/download PDF
29. Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
- Author
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Parascandolo, Giambattista, Huttunen, Heikki, and Virtanen, Tuomas
- Subjects
Computer Science - Sound ,Computer Science - Learning ,Computer Science - Neural and Evolutionary Computing - Abstract
In this paper we present an approach to polyphonic sound event detection in real life recordings based on bi-directional long short term memory (BLSTM) recurrent neural networks (RNNs). A single multilabel BLSTM RNN is trained to map acoustic features of a mixture signal consisting of sounds from multiple classes, to binary activity indicators of each event class. Our method is tested on a large database of real-life recordings, with 61 classes (e.g. music, car, speech) from 10 different everyday contexts. The proposed method outperforms previous approaches by a large margin, and the results are further improved using data augmentation techniques. Overall, our system reports an average F1-score of 65.5% on 1 second blocks and 64.7% on single frames, a relative improvement over previous state-of-the-art approach of 6.8% and 15.1% respectively., Comment: To appean in Proceedings of IEEE ICASSP 2016
- Published
- 2016
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30. Oscillations above the barrier in the fusion of 28Si + 28Si
- Author
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Montagnoli, G., Stefanini, A. M., Esbensen, H., Corradi, L., Courtin, S., Fioretto, E., Grebosz, J., Haas, F., Jia, H. M., Jiang, C. L., Mazzocco, M., Michelagnoli, C., Mijatovic, T., Montanari, D., Parascandolo, C., Scarlassara, F., Strano, E., Szilner, S., and Torresi, D.
- Subjects
Nuclear Experiment ,Nuclear Theory - Abstract
Fusion cross sections of 28Si + 28Si have been measured in a range above the barrier with a very small energy step (DeltaElab = 0.5 MeV). Regular oscillations have been observed, best evidenced in the first derivative of the energy-weighted excitation function. For the first time, quite different behaviors (the appearance of oscillations and the trend of sub-barrier cross sections) have been reproduced within the same theoretical frame, i.e., the coupled-channel model using the shallow M3Y+repulsion potential. The calculations suggest that channel couplings play an important role in the appearance of the oscillations, and that the simple relation between a peak in the derivative of the energy-weighted cross section and the height of a centrifugal barrier is lost, and so is the interpretation of the second derivative of the excitation function as a barrier distribution for this system, at energies above the Coulomb barrier., Comment: submitted to Physics Letters B
- Published
- 2015
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31. Lifestyle and Dietary Habits Affect Plasma Levels of Specific Cytokines in Healthy Subjects
- Author
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Vittoria D'Esposito, Michele Francesco Di Tolla, Manuela Lecce, Francesco Cavalli, Michele Libutti, Saverio Misso, Serena Cabaro, Maria Rosaria Ambrosio, Alessia Parascandolo, Bianca Covelli, Giuseppe Perruolo, Mario Sansone, and Pietro Formisano
- Subjects
cytokines ,low-grade chronic inflammation ,biomarkers ,body mass index ,inflammaging ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Low-grade chronic inflammation (LGCI) is a common feature of non-communicable diseases. Cytokines play a crucial role in LGCI. This study aimed to assess how LGCI risk factors [e.g., age, body mass index (BMI), smoke, physical activity, and diet] may impact on specific cytokine levels in a healthy population. In total, 150 healthy volunteers were recruited and subjected to questionnaires about the last 7-day lifestyle, including smoking habit, physical activity, and food frequency. A panel of circulating cytokines, chemokines, and growth factors was analyzed by multiplex ELISA. BMI showed the heaviest impact on the correlation between LGCI-related risk factors and cytokines and was significantly associated with CRP levels. Aging was characterized by an increase in IL-1b, eotaxin, MCP-1, and MIP-1α. Smoking was related to higher levels of IL-1b and CCL5/RANTES, while physical activity was related to MIP-1α. Within the different eating habits, CRP levels were modulated by eggs, red meat, shelled fruits, and greens consumption; however, these associations were not confirmed in a multivariate model after adjusting for BMI. Nevertheless, red meat consumption was associated with an inflammatory pattern, characterized by an increase in IL-6 and IL-8. IL-8 levels were also increased with the frequent intake of sweets, while a higher intake of shelled fruits correlated with lower levels of IL-6. Moreover, IL-6 and IL-8 formed a cluster that also included IL-1b and TNF-α. In conclusion, age, BMI, smoke, physical activity, and dietary habits are associated with specific cytokines that may represent potential markers for LGCI.
- Published
- 2022
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- View/download PDF
32. Study of the 12C +16 O fusion reaction in carbon burning via the Trojan Horse Method
- Author
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Oliva A. A., Tumino A., Soic N., Prajapati P. M., Acosta L., Alba R., Barba F., Cherubini S., D’Agata G., Dell’Aquila D., Di Pietro A., Fernandez J.P., Figuera P., Galaviz Redondo D., Guardo L., Gulino M., Hammache F., Jelavic Malenica D., Kiliç A.I., La Cognata M., La Commara M., Lamia L., Lattuada D., Maiolino C., Manicò G., Mazzocco M., Milin M., Nanru Ma, Nurmukhanbetova A., Nurkic D., Palmerini S., Parascandolo T., Pierroutsakou D., Pizzone R.G., Popocovski R., Rapisarda G.G., Romano S., Santonocito D., Sergi M.L., Shotter A., Spartà R., Spiridon A., Trache L., Vukman N., and Yamaguchi H.
- Subjects
Physics ,QC1-999 - Abstract
12C +12 C is the main reaction during core and shell carbon burning in massive stars, however, at temperatures higher than 109K when most of the carbon is depleted and its abundance is lower than 16O, the 12C +16 O fusion can also become relevant. Moreover, 12C +16 O reaction can ignite also in the scenario of explosive carbon burning. The astrophysical energy region of interest thus ranges from 3 to 7.2 MeV in the center-of-mass frame. There are various measurements of the cross-section available in the literature, however, they all stop around 4 MeV, making extrapolation necessary at lower energies. To try to solve this uncertainty and corroborate direct measurement the Trojan Horse Method was applied to three-body processes 16O(14N, α24Mg)2H and 16O(14N, p27Al)2H to study the 16O(12C, α)24Mg and 16O(12C, p)27Al reactions.
- Published
- 2023
- Full Text
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33. RIB induced reactions: Studying astrophysical reactions with low-energy RI beam at CRIB
- Author
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Yamaguchi H., Hayakawa S., Ma N.R., Shimizu H., Okawa K., Zhang Q., Yang L., Kahl D., La Cognata M., Lamia L., Abe K., Beliuskina O., Cha S.M., Chae K.Y., Cherubini S., Figuera P., Ge Z., Gulino M., Hu J., Inoue A., Iwasa N., Kim A., Kim D., Kiss G., Kubono S., La Commara M., Lattuada M., Lee E.J., Moon J.Y., Palmerini S., Parascandolo C., Park S.Y., Phong V.H., Pierroutsakou D., Pizzone R.G., Rapisarda G.G., Romano S., Spitaleri C., Tang X.D., Trippella O., Tumino A., Zhang N.T., Lam Y.H., Heger A., Jacobs A.M., Xu S.W., Ma S.B., Ru L.H., Liu E.Q., Liu T., Hamill C.B., Murphy A. St J., Su J., Fang X., Kwag M.S., Duy N.N., Uyen N.K., Kim D.H., Liang J., Psaltis A., Sferrazza M., Johnston Z., and Li Y.Y.
- Subjects
Physics ,QC1-999 - Abstract
Astrophysical reactions involving radioactive isotopes (RI) often play an important role in high-temperature stellar environments. The experimental studies on the reaction rates for those are still limited mainly due to the technical difficulties in producing high-quality RI beams. A direct measurement of those reactions would be still challenging in many cases, however, we can make a reliable evaluation of the reaction rates by an indirect method or by studying the resonance prorerties. Here we ntroduce recent examples of experimental studies on such RI-involving astrophysical reactions, performed at Center for Nuclear Study, the University of Tokyo, using the low-energy RI beam separator CRIB. One is for the neutron-induced destruction reactions of 7Be in the Big-Bang nucleosynthesis, and the other is the study on the 22Mg(α, p) reaction relevant in X-ray bursts, which was performed with the resonant scattering method from the inverse reaction channel.
- Published
- 2023
- Full Text
- View/download PDF
34. The 12C +16 O fusion reaction in carbon burning: Study at energies of astrophysical interest using the Trojan Horse Method
- Author
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Oliva A.A., Tumino A., Soic N., Prajapati M.P., Acosta L., Alba R., Barba F., Cherubini S., D’Agata G., Dell’Aquila D., Di Pietro A., Fernandez P.J., Figuera P., Galaviz Redondo D., Guardo L., Gulino M., Hammache F., Jelavic Malenica D., Kiliç A.I., La Cognata M., La Commara M., Lamia L., Lattuada D., Maiolino C., Manicò G., Mazzocco M., Milin M., Nanru Ma, Nurmukhanbetova A., Nurkic D., Palmerini S., Parascandolo T., Pierroutsakou D., Pizzone R.G., Popocovski R., Rapisarda G.G., Romano S., Santonocito D., Sergi M.L., Shotter A., Spartà R., Spiridon A., Trache L., Vukman N., and Yamaguchi H.
- Subjects
Physics ,QC1-999 - Abstract
The carbon-burning process in massive stars mainly occurs via the 12C +12 C. However, at temperatures higher than 109K and considering the increased abundance of 16O produced during the later stages of the heliumburning,the 12C+16O fusion can also become relevant. Moreover, 12C+16O also plays a role in the scenario of explosive carbon burning. Thus, the astrophysical energy region of interest ranges from 3 to 7.2 MeV in the center-of-mass frame. However, the various measurements of the cross-section available in the literature stop around 4 MeV, making extrapolation necessary. To solve this uncertainty and corroborate direct measurement we applied the Trojan Horse Method to three-body processes 16O(14N, α24Mg)2H and 16O(14N, p27Al)2H to study the 12C(16O, α)24Mg and 12C(16O, p)27Al reactions in their entire energy region of astrophysical interest. In this contribution, after briefly describing the method used, the experiment and the preliminary phases of the data analysis will be presented and discussed.
- Published
- 2023
- Full Text
- View/download PDF
35. The 27Al(p,α)24Mg2H(27Al,α24Mg)n reaction at astrophysical energies studied by means of the Trojan Horse Method applied to the 27Al(p,α)24Mg2H(27Al,α24Mg)n reaction
- Author
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Palmerini, S., La Cognata, M., Hammache, F., Acosta, L., Alba, R., Burjan, V., Chávez, E., Cherubini, S., Cvetinović, A., D’Agata, G., de Séréville, N., Di Pietro, A., Figuera, P., Fülöp, Z., Gaitán De Los Rios, K., Guardo, G. L., Gulino, M., Hayakawa, S., Kiss, G. G., La Commara, M., Lamia, L., Maiolino, C., Manicó, G., Matei, C., Mazzocco, M., Mrazek, J., Parascandolo, T., Petruse, T., Pierroutsakou, D., Pizzone, R. G., Rapisarda, G. G., Romano, S., Santonocito, D., Sergi, M. L., Spartà, R., Tumino, A., and Yamaguchi, H.
- Published
- 2021
- Full Text
- View/download PDF
36. The EXOTIC project at INFN-LNL
- Author
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Dimitra Pierroutsakou, Alfonso Boiano, Ciro Boiano, Marco La Commara, Giovanni La Rana, Marco Mazzocco, Concetta Parascandolo, Cosimo Signorini, Francesca Soramel, and Emanuele Strano
- Subjects
haces de iones radiactivos ,detectores de localizacion ,detectores de trazas gaseosas ,astrofisica ,laboratorio nacional legnaro ,Nuclear engineering. Atomic power ,TK9001-9401 ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
The low-energy light radioactive ion beam in-flight facility EXOTIC and the associated experimental set-up,operational at Legnaro National Laboratories of the National Institute of Nuclear Physics (LNL-INFN, Italy) and designed for nuclear physics and nuclear astrophysics experiments, were described. The outline of the experimental program carried out employing the produced radioactive ion beams was presented and the perspectives of the EXOTIC project were discussed.
- Published
- 2019
37. Ultralong-range radiative excitation transfer between quantum dots in a planar microcavity
- Author
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Tarel, Guillaume, Parascandolo, Gaetano, and Savona, Vincenzo
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Other Condensed Matter - Abstract
We study the system of two quantum dots lying on the central plane of a planar semiconductor microcavity. By solving the full Maxwell problem, we demonstrate that the rate of resonant excitation transfer between the two dots decays as $d^{-1/2}$ as a function of the distance $d$ at long distance. This very long-range mechanism is due to the leaky and guided modes of the microcavity, which act as effective radiative transfer channels. At short distance, the $d^{-3}$ dependence of the F\"orster mechanism, induced by the electrostatic dipole-dipole interaction, is recovered.
- Published
- 2007
- Full Text
- View/download PDF
38. Dephasing in quantum dot molecules via exciton-acoustic phonon coupling
- Author
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Parascandolo, Gaetano and Savona, Vincenzo
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
We develop a theory of the linear optical spectrum of excitons in quantum dot molecules, including the effect of exciton-phonon coupling beyond the Markov limit. The model reproduces the general trend of the zero-phonon line broadening as a function of interdot distance, that were recently measured. The unexpectedly broad linewidths and their large variation are explained in terms of both the non-Markov nature of the coupling and of the matching of the phonon wavelength to the interdot distance.
- Published
- 2005
39. Insight into the reaction dynamics of proton drip-line nuclear system 17F+58Ni at near-barrier energies
- Author
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L. Yang, C.J. Lin, H. Yamaguchi, Jin Lei, P.W. Wen, M. Mazzocco, N.R. Ma, L.J. Sun, D.X. Wang, G.X. Zhang, K. Abe, S.M. Cha, K.Y. Chae, A. Diaz-Torres, J.L. Ferreira, S. Hayakawa, H.M. Jia, D. Kahl, A. Kim, M.S. Kwag, M. La Commara, R. Navarro Pérez, C. Parascandolo, D. Pierroutsakou, J. Rangel, Y. Sakaguchi, C. Signorini, E. Strano, X.X. Xu, F. Yang, Y.Y. Yang, G.L. Zhang, F.P. Zhong, and J. Lubian
- Subjects
Weakly bound valence-proton nucleus ,Reaction dynamics ,Near-barrier energies ,Physics ,QC1-999 - Abstract
The mechanism of reactions with weakly-bound proton-rich nuclei at energies near the Coulomb barrier is a long-standing open question owing to the paucity of experimental data. In this study, a complete kinematics measurement was performed for the proton drip-line nucleus 17F interacting with 58Ni at four energies near the Coulomb barrier. Thanks to the powerful performance of the detector array, exhaustive information on the reaction channels, such as the differential cross sections for quasielastic scattering, exclusive and inclusive breakup, as well as for fusion-evaporation protons and alphas, was derived for the first time. The angular distributions of quasielastic scattering and exclusive breakup can be described reasonably well by the continuum-discretized coupled-channels calculations. The inclusive breakup was investigated using the three-body model proposed by Ichimura, Austern, and Vincent, and results indicate the non-elastic breakup is the dominant component. The total fusion cross sections were determined by the fusion-evaporation protons and alphas. Based on the measured exclusive breakup data, the analysis of the classical dynamical simulation code PLATYPUS demonstrates that the incomplete fusion plays a minor role. Moreover, compared with 16O+58Ni, both the reaction and total fusion cross sections of 17F+58Ni exhibit an enhancement in the sub-barrier energy region, which mainly arises from couplings to the continuum states. This work indicates that the information of full reaction channels is crucially important to comprehensively understand the reaction mechanisms of weakly bound nuclear systems.
- Published
- 2021
- Full Text
- View/download PDF
40. Long-range radiative interaction between semiconductor quantum dots
- Author
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Parascandolo, Gaetano and Savona, Vincenzo
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
We develop a Maxwell-Schroedinger formalism in order to describe the radiative interaction mechanism between semiconductor quantum dots. We solve the Maxwell equations for the electromagnetic field coupled to the polarization field of a quantum dot ensemble through a linear non-local susceptibility and compute the polariton resonances of the system. The radiative coupling, mediated by both radiative and surface photon modes, causes the emergence of collective modes whose lifetimes are longer or shorter compared to the ones of non-interacting dots. The magnitude of the coupling and the collective mode energies depend on the detuning and on the mutual quantum dot distance. The spatial range of this coupling mechanism is of the order of the wavelength. This coupling should therefore be accounted for when considering quantum dots as building blocks of integrated systems for quantum information processing.
- Published
- 2004
- Full Text
- View/download PDF
41. Study of the threshold anomaly effect in the reaction 7208Li+7208Pb at energies around the Coulomb barrier
- Author
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Vardaci, E., Rath, P. K., Mazzocco, M., Nitto, A. Di, Rana, G. La, Parascandolo, C., Pierroutsakou, D., Romoli, M., Boiano, A., Vanzanella, A., Cinausero, M., Prete, G., Gelli, N., Lucarelli, F., Mazzocchi, C., Commara, M. La, Fortunato, L., Guglielmetti, A., Soramel, F., Stroe, L., and Signorini, C.
- Published
- 2021
- Full Text
- View/download PDF
42. Recensioni, letture, segnalazioni
- Author
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Fabio Parascandolo, Paolo Castoro, Chiara Belingardi, Giuseppe Dematteis, Alberto Ziparo, and Luisa Rossi
- Subjects
Agriculture (General) ,S1-972 ,Architecture ,NA1-9428 - Published
- 2020
- Full Text
- View/download PDF
43. Si scrive cibo (agroecologico e territorializzato), si legge democrazia (di luogo)
- Author
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Fabio Parascandolo and Paola De Meo
- Subjects
peasant movements ,territory ,food systems ,democracy ,participation ,Agriculture (General) ,S1-972 ,Architecture ,NA1-9428 - Abstract
This essay offers an analysis of the global situation of food systems, providing a few pointers concerning two interconnected issues: the democratisation of the access to food, and the need to heal the ecological damage caused by centralized and mass systems for production and consumption of merchandise. We approach such phenomena through a multi-scalar prism, interpreting the geographical articulation of social behaviour through a continuous shift from local to global. We focus on the processes of modernization and development of commodity-food that, since last century, took hold in many regions, along with their social and ecological failures. Subsequently, various alternative paths of production, distribution and consumption of food are studied, trying to match the nutritional daily needs of local citizens but also the ecological features of their territories and of the life-supporting systems of our planet. You write food and you read democracy as our most urgent challenge is to recover the capacity to reconcile human and ecological communities. This can only be achieved by renouncing centralized and hierarchical (and anti-democratic by nature) models of commodity management. Ultimately, the most effective ‘therapies’ to heal the current crisis of social and political systems are nestled in those agro-ecological, small-scale farming practices that, by cooling climate, can restore the independence of local communities and their dwellers.
- Published
- 2020
- Full Text
- View/download PDF
44. Experimental studies on astrophysical reactions at the low-energy RI beam separator CRIB
- Author
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Yamaguchi H., Hayakawa S., Ma N.R., Shimizu H., Okawa K., Yang L., Kahl D., La Cognata M., Lamia L., Abe K., Beliuskina O., Cha S.M., Chae K.Y., Cherubini S., Figuera P., Ge Z., Gulino M., Hu J., Inoue A., Iwasa N., Kim A., Kim D., Kiss G., Kubono S., La Commara M., Lattuada M., Lee E.J., Moon J.Y., Palmerini S., Parascandolo C., Park S.Y., Phong V. H., Pierroutsakou D., Pizzone R.G., Rapisarda G.G., Romano S., Spitaleri C., Tang X.D., Trippella O., Tumino A., Zhang N.T., Lam Y.H., Heger A., Jacobs A.M., Xu S.W., Ma S.B., Ru L.H., Liu E.Q., Liu T., Hamill C.B., St J. Murphy A., Su J., Fang X., Kwag M.S., Duy N.N., Uyen N.K., Kim D.H., Liang J, Psaltis A., Sferrazza M., Johnston Z., and Li Y.Y.
- Subjects
Physics ,QC1-999 - Abstract
Experimental studies on astrophysical reactions involving radioactive isotopes (RI) often accompany technical challenges. Studies on such nuclear reactions have been conducted at the low-energy RI beam separator CRIB, operated by Center for Nuclear Study, the University of Tokyo. We discuss two cases of astrophysical reaction studies at CRIB; one is for the 7Be+n reactions which may affect the primordial 7Li abundance in the Big-Bang nucleosynthesis, and the other is for the 22Mg(α, p) reaction relevantin X-raybursts.
- Published
- 2022
- Full Text
- View/download PDF
45. Entrainer selection using the Infinitely Sharp Split method and thermodynamic criteria for separating binary minimum-boiling azeotrope by extractive distillation
- Author
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Rodriguez-Donis, Ivonne, Shcherbakova, Nataliya, Parascandolo, Edoardo, Abildskov, Jens, and Gerbaud, Vincent
- Abstract
Entrainer selection for extractive distillation remains a challenge because established criteria are based on thermodynamic properties at entrainer infinite dilution, primarily developed for an extractive column. However, a cost-effective extractive distillation continuous process uses two connected - extractive and entrainer regeneration - distillation columns. Using only the ternary mixture A-B-E vapor-liquid equilibrium data, the Infinitely Sharp Split (ISS) method is combined with the driving force concept as a new thermodynamic criterion, to compare the performance of entrainers for extractive distillation process. The ISS method allows fast computation of the minimum value of both the entrainer flowrate and the reflux ratio for the extractive distillation column, while the driving force concept is related to the regeneration column design. The methodology is applied to the separation of the minimum-boiling azeotrope methanol – dimethyl carbonate with a list of five high boiling entrainers, giving methanol as distillation product of the extractive distillation column. The entrainer ranking proposed by the combined criterion agrees with optimization results of the two-column extractive distillation process. The best candidate, methyl salicylate, having the lowest minimum entrainer flow rate and reflux ratio, provides also the most cost-effective extractive distillation process.
- Published
- 2024
- Full Text
- View/download PDF
46. Effect of naive and cancer-educated fibroblasts on colon cancer cell circadian growth rhythm
- Author
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Parascandolo, Alessia, Bonavita, Raffaella, Astaburuaga, Rosario, Sciuto, Antonio, Reggio, Stefano, Barra, Enrica, Corcione, Francesco, Salvatore, Marco, Mazzoccoli, Gianluigi, Relógio, Angela, and Laukkanen, Mikko O.
- Published
- 2020
- Full Text
- View/download PDF
47. Effect of Different Titanium Dental Implant Surfaces on Human Adipose Mesenchymal Stem Cell Behavior. An In Vitro Comparative Study
- Author
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Vittoria D’Esposito, Josè Camilla Sammartino, Pietro Formisano, Alessia Parascandolo, Domenico Liguoro, Daniela Adamo, Gilberto Sammartino, and Gaetano Marenzi
- Subjects
dental implant surface ,chemokines ,grow factors ,bone damage ,osseointegration ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Background: The aim of this research was to evaluate the effects of three different titanium (Ti) implant surfaces on the viability and secretory functions of mesenchymal stem cells isolated from a Bichat fat pad (BFP-MSCs). Methods: Four different Ti disks were used as substrate: (I) D1: smooth Ti, as control; (II) D2: chemically etched, resembling the Kontact S surface; (III) D3: sandblasted, resembling the Kontact surface; (IV) D4: blasted/etched, resembling the Kontact N surface. BFP-MSCs were plated on Ti disks for 72 h. Cell viability, adhesion on disks and release of a panel of cytokines, chemokines and growth factor were evaluated. Results: BFP-MSCs plated in wells with Ti surface showed a viability rate (~90%) and proliferative rate comparable to cells plated without disks and to cells plated on D1 disks. D2 and D4 showed the highest adhesive ability. All the Ti surfaces did not interfere with the release of cytokines, chemokines and growth factors by BFP-MSCs. However, BFP-MSCs cultured on D4 surface released a significantly higher amount of Granulocyte Colony-Stimulating Factor (G-CSF) compared either to cells plated without disks and to cells plated on D1 and D2. Conclusions: The implant surfaces examined do not impair the BFP-MSCs cell viability and preserve their secretion of cytokines and chemokines. Further in vitro and in vivo studies are necessary to define the implant surface parameters able to assure the chemokines’ optimal release for a real improvement of dental implant osseointegration.
- Published
- 2021
- Full Text
- View/download PDF
48. Building the basis for patient-specific meniscal scaffolds: From human knee MRI to fabrication of 3D printed scaffolds
- Author
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Cengiz, I.F., Pitikakis, M., Cesario, L., Parascandolo, P., Vosilla, L., Viano, G., Oliveira, J.M., and Reis, R.L.
- Published
- 2016
- Full Text
- View/download PDF
49. SOD3 Is a Non-Mutagenic Growth Regulator Affecting Cell Migration and Proliferation Signal Transduction
- Author
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Alessia Parascandolo and Mikko O. Laukkanen
- Subjects
extracellular superoxide dismutase ,sod3 ,signal transduction ,cancer ,proliferation ,migration ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Superoxide dismutase (SOD) family isoenzymes, SOD1, SOD2, and SOD3, synthesize hydrogen peroxide (H2O2), which regulates the signal transduction. H2O2 is a second messenger able to enter into the cells through aquaporin 3 cell membrane channels and to modify protein tyrosine phosphatase activity. SOD3 has been shown to activate signaling pathways in tissue injuries, inflammation, and cancer models. Similar to the H2O2 response in the cells, the cellular response of SOD3 is dose-dependent; even a short supraphysiological concentration reduces the cell survival and activates the growth arrest and apoptotic signaling, whereas the physiological SOD3 levels support its growth and survival. In the current work, we studied the signaling networks stimulated by SOD3 overexpression demonstrating a high diversity in the activation of signaling cascades. The results obtained suggest that SOD3, although inducing cell growth and affecting various biological processes, does not cause detectable long-term DNA aberrations. Therefore, according to the present data, SOD3 is not a mutagen. Additionally, we compared SOD3-driven immortalized mouse embryonic fibroblasts to SV40 immortalized NIH3T3 cells, demonstrating a marked difference in the activation of cellular kinases. The data presented may contain important druggable targets to abrogate unwanted cell growth.
- Published
- 2021
- Full Text
- View/download PDF
50. Sub-barrier fusion involving odd mass nuclei: The case of 36S + 50Ti, 51V
- Author
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Colucci, G., Montagnoli, G., Stefanini, A. M., Hagino, K., Caciolli, A., Čolović, P., Corradi, L., Fioretto, E., Galtarossa, F., Goasduff, A., Grebosz, J., Mazzocco, M., Montanari, D., Parascandolo, C., Scarlassara, F., Siciliano, M., Strano, E., Szilner, S., and Vukman, N.
- Published
- 2019
- Full Text
- View/download PDF
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