Search

Your search keyword '"Cimino, A."' showing total 22,935 results
Start Over Author "Cimino, A."
22,935 results on '"Cimino, A."'

1. Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks

Author

Manduzio, Graziano A., Galatolo, Federico A., Cimino, Mario G. C. A., Scilingo, Enzo Pasquale, and Cominelli, Lorenzo

Subjects
Computer Science - Artificial Intelligence
Abstract

Recent advancements in Large Language Models (LLMs) have demonstrated exceptional capabilities in natural language understanding and generation. While these models excel in general complex reasoning tasks, they still face challenges in mathematical problem-solving and logical reasoning. To address these limitations, researchers have explored function calling abilities, allowing LLMs to execute provided functions and utilize their outputs for task completion. However, concentrating on specific tasks can be very inefficient for large-scale LLMs to be used, because of the expensive cost of training and inference stages they need in terms of computational resources. This study introduces a novel framework for training smaller language models in function calling, focusing on specific logical and mathematical reasoning tasks. The approach aims to improve performances of small-scale models for these tasks using function calling, ensuring a high level of accuracy. Our framework employs an agent that, given a problem and a set of callable functions, queries the LLM by injecting a description and examples of the usable functions into the prompt and managing their calls in a step-by-step reasoning chain. This process is used to create a dataset of correct and incorrect reasoning chain chat completions from a large-scale LLM. This dataset is used to train a smaller LLM using Reinforcement Learning from Human Feedback (RLHF), specifically employing the Direct Preference Optimization (DPO) technique. Experimental results demonstrate how the proposed approach balances the trade-off between model size and performance, improving the ability of function calling for reasoning tasks, in smaller models.

Published
2024

2. Environment Scan of Generative AI Infrastructure for Clinical and Translational Science

Author

Idnay, Betina, Xu, Zihan, Adams, William G., Adibuzzaman, Mohammad, Anderson, Nicholas R., Bahroos, Neil, Bell, Douglas S., Bumgardner, Cody, Campion, Thomas, Castro, Mario, Cimino, James J., Cohen, I. Glenn, Dorr, David, Elkin, Peter L, Fan, Jungwei W., Ferris, Todd, Foran, David J., Hanauer, David, Hogarth, Mike, Huang, Kun, Kalpathy-Cramer, Jayashree, Kandpal, Manoj, Karnik, Niranjan S., Katoch, Avnish, Lai, Albert M., Lambert, Christophe G., Li, Lang, Lindsell, Christopher, Liu, Jinze, Lu, Zhiyong, Luo, Yuan, McGarvey, Peter, Mendonca, Eneida A., Mirhaji, Parsa, Murphy, Shawn, Osborne, John D., Paschalidis, Ioannis C., Harris, Paul A., Prior, Fred, Shaheen, Nicholas J., Shara, Nawar, Sim, Ida, Tachinardi, Umberto, Waitman, Lemuel R., Wright, Rosalind J., Zai, Adrian H., Zheng, Kai, Lee, Sandra Soo-Jin, Malin, Bradley A., Natarajan, Karthik, Price II, W. Nicholson, Zhang, Rui, Zhang, Yiye, Xu, Hua, Bian, Jiang, Weng, Chunhua, and Peng, Yifan

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction
Abstract

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the Clinical and Translational Science Award (CTSA) Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. With the rapid advancement of GenAI technologies, including large language models (LLMs), healthcare institutions face unprecedented opportunities and challenges. This research explores the current status of GenAI integration, focusing on stakeholder roles, governance structures, and ethical considerations by administering a survey among leaders of health institutions (i.e., representing academic medical centers and health systems) to assess the institutional readiness and approach towards GenAI adoption. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The study highlights significant variations in governance models, with a strong preference for centralized decision-making but notable gaps in workforce training and ethical oversight. Moreover, the results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers. Our analysis also reveals concerns regarding GenAI bias, data security, and stakeholder trust, which must be addressed to ensure the ethical and effective implementation of GenAI technologies. This study offers valuable insights into the challenges and opportunities of GenAI integration in healthcare, providing a roadmap for institutions aiming to leverage GenAI for improved quality of care and operational efficiency.

Published
2024

3. A quark core-gluon model for heavy hybrid baryons

Author

Cimino, Lorenzo, Willemyns, Cintia T., and Semay, Claude

Subjects
High Energy Physics - Phenomenology
Abstract

Besides the ordinary hadrons, QCD allows the existence of states in which excitations of the gluonic field can play the role of valence particles, either alone in a glueball, or coupled to quarks in a hybrid. So, hybrid baryons, made of three quarks and a gluon, can a priori exist. Till now, there is no experimental evidence for such exotic hadrons but experimental efforts are being made to search for them at CEBAF Large Acceptance Spectrometer. In this work, a hybrid baryon is considered as a two-body system composed of a color octet three-quark core and a gluon, interacting via a QCD-inspired interaction. A semirelativistic potential model is built in which the dominant interaction is a potential simulating the flux tube confinement, and the Casimir scaling is assumed to link interactions between triplet and octet color sources. This picture is similar to the quark-diquark description for baryons. It is chosen in order to take properly into account the helicity of the gluon. Only $cccg$ and $bbbg$ states are considered because the strong mass asymmetry between the quark core and the gluon is expected to favor the formation of the core. As the results for heavy hybrid baryons seem relevant, we consider this paper as a proof of concept which can be extended for the study of light hybrid baryons., Comment: 13 pages, Table V corrected

Published
2024
Full Text
View/download PDF

4. Partially dissociable roles of the Orbitofrontal cortex and dorsal Hippocampus in context-dependent (hierarchical) reward prediction and contextual inference in learning

Author

Peterson, Sophie, Chavira, Jose, Arango, Alex Garcia, Seamans, David, Cimino, Emma, and Keiflin, Ronald

Subjects
Biological Psychology, Psychology, Basic Behavioral and Social Science, Behavioral and Social Science, Brain Disorders
Abstract

Reward cues are often ambiguous; what is good in one context is not necessarily good in another context. To solve this ambiguity, animals form hierarchical associations in which the context acts as a gatekeeper in the retrieval of the appropriate cue-evoked memory, ensuring context-appropriate behavior. These hierarchical associative structures also influence future learning by promoting the formation of new context-dependent associations (leading to the inference of context-dependency for new associations). The orbitofrontal cortex (OFC) and the dorsal hippocampus (DH) are both proposed to encode a “cognitive map” that includes the representation of hierarchical, context-dependent, associations. However the causal role of the OFC and DH in the different functional properties of hierarchical associations remains controversial. Here we used chemogenetic inactivations, in rats, to examine the role of OFC and DH in 1) the contextual regulation of performance, and 2) the contextual learning bias conferred by hierarchical associations. We show that OFC is required for both manifestations of hierarchical associations. In contrast, DH contribution appears limited to the contextual learning bias. This study provides novel insight into the different functional properties of context-dependent hierarchical associations, and establishes the OFC as a critical orchestrator of these different contextual effects.

Published
2024

5. Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

Author

Thirimanne, H, Almiron-Bonnin, Damian, Nuechterlein, Nicholas, Arora, Sonali, Jensen, Matt, Parada, Carolina, Qiu, Chengxiang, Szulzewsky, Frank, English, Collin, Chen, William, Sievers, Philipp, Nassiri, Farshad, Wang, Justin, Klisch, Tiemo, Aldape, Kenneth, Patel, Akash, Cimino, Patrick, Zadeh, Gelareh, Sahm, Felix, Raleigh, David, Shendure, Jay, Ferreira, Manuel, and Holland, Eric

Subjects
Oncoscape, UMAP, brain tumor, bulk RNA-seq, meningioma, meningioma subtypes, patient prognosis prediction, recurrent, Meningioma, Humans, Transcriptome, Meningeal Neoplasms, Male, Female, Middle Aged, Gene Expression Regulation, Neoplastic, Algorithms, Gene Expression Profiling
Abstract

Meningiomas, although mostly benign, can be recurrent and fatal. World Health Organization (WHO) grading of the tumor does not always identify high-risk meningioma, and better characterizations of their aggressive biology are needed. To approach this problem, we combined 13 bulk RNA sequencing (RNA-seq) datasets to create a dimension-reduced reference landscape of 1,298 meningiomas. The clinical and genomic metadata effectively correlated with landscape regions, which led to the identification of meningioma subtypes with specific biological signatures. The time to recurrence also correlated with the map location. Further, we developed an algorithm that maps new patients onto this landscape, where the nearest neighbors predict outcome. This study highlights the utility of combining bulk transcriptomic datasets to visualize the complexity of tumor populations. Further, we provide an interactive tool for understanding the disease and predicting patient outcomes. This resource is accessible via the online tool Oncoscape, where the scientific community can explore the meningioma landscape.

Published
2024

6. Euclid. I. Overview of the Euclid mission

Author

Euclid Collaboration, Mellier, Y., Abdurro'uf, Barroso, J. A. Acevedo, Achúcarro, A., Adamek, J., Adam, R., Addison, G. E., Aghanim, N., Aguena, M., Ajani, V., Akrami, Y., Al-Bahlawan, A., Alavi, A., Albuquerque, I. S., Alestas, G., Alguero, G., Allaoui, A., Allen, S. W., Allevato, V., Alonso-Tetilla, A. V., Altieri, B., Alvarez-Candal, A., Alvi, S., Amara, A., Amendola, L., Amiaux, J., Andika, I. T., Andreon, S., Andrews, A., Angora, G., Angulo, R. E., Annibali, F., Anselmi, A., Anselmi, S., Arcari, S., Archidiacono, M., Aricò, G., Arnaud, M., Arnouts, S., Asgari, M., Asorey, J., Atayde, L., Atek, H., Atrio-Barandela, F., Aubert, M., Aubourg, E., Auphan, T., Auricchio, N., Aussel, B., Aussel, H., Avelino, P. P., Avgoustidis, A., Avila, S., Awan, S., Azzollini, R., Baccigalupi, C., Bachelet, E., Bacon, D., Baes, M., Bagley, M. B., Bahr-Kalus, B., Balaguera-Antolinez, A., Balbinot, E., Balcells, M., Baldi, M., Baldry, I., Balestra, A., Ballardini, M., Ballester, O., Balogh, M., Bañados, E., Barbier, R., Bardelli, S., Baron, M., Barreiro, T., Barrena, R., Barriere, J. -C., Barros, B. J., Barthelemy, A., Bartolo, N., Basset, A., Battaglia, P., Battisti, A. J., Baugh, C. M., Baumont, L., Bazzanini, L., Beaulieu, J. -P., Beckmann, V., Belikov, A. N., Bel, J., Bellagamba, F., Bella, M., Bellini, E., Benabed, K., Bender, R., Benevento, G., Bennett, C. L., Benson, K., Bergamini, P., Bermejo-Climent, J. R., Bernardeau, F., Bertacca, D., Berthe, M., Berthier, J., Bethermin, M., Beutler, F., Bevillon, C., Bhargava, S., Bhatawdekar, R., Bianchi, D., Bisigello, L., Biviano, A., Blake, R. P., Blanchard, A., Blazek, J., Blot, L., Bosco, A., Bodendorf, C., Boenke, T., Böhringer, H., Boldrini, P., Bolzonella, M., Bonchi, A., Bonici, M., Bonino, D., Bonino, L., Bonvin, C., Bon, W., Booth, J. T., Borgani, S., Borlaff, A. S., Borsato, E., Bose, B., Botticella, M. T., Boucaud, A., Bouche, F., Boucher, J. S., Boutigny, D., Bouvard, T., Bouwens, R., Bouy, H., Bowler, R. A. A., Bozza, V., Bozzo, E., Branchini, E., Brando, G., Brau-Nogue, S., Brekke, P., Bremer, M. N., Brescia, M., Breton, M. -A., Brinchmann, J., Brinckmann, T., Brockley-Blatt, C., Brodwin, M., Brouard, L., Brown, M. L., Bruton, S., Bucko, J., Buddelmeijer, H., Buenadicha, G., Buitrago, F., Burger, P., Burigana, C., Busillo, V., Busonero, D., Cabanac, R., Cabayol-Garcia, L., Cagliari, M. S., Caillat, A., Caillat, L., Calabrese, M., Calabro, A., Calderone, G., Calura, F., Quevedo, B. Camacho, Camera, S., Campos, L., Canas-Herrera, G., Candini, G. P., Cantiello, M., Capobianco, V., Cappellaro, E., Cappelluti, N., Cappi, A., Caputi, K. I., Cara, C., Carbone, C., Cardone, V. F., Carella, E., Carlberg, R. G., Carle, M., Carminati, L., Caro, F., Carrasco, J. M., Carretero, J., Carrilho, P., Duque, J. Carron, Carry, B., Carvalho, A., Carvalho, C. S., Casas, R., Casas, S., Casenove, P., Casey, C. M., Cassata, P., Castander, F. J., Castelao, D., Castellano, M., Castiblanco, L., Castignani, G., Castro, T., Cavet, C., Cavuoti, S., Chabaud, P. -Y., Chambers, K. C., Charles, Y., Charlot, S., Chartab, N., Chary, R., Chaumeil, F., Cho, H., Chon, G., Ciancetta, E., Ciliegi, P., Cimatti, A., Cimino, M., Cioni, M. -R. L., Claydon, R., Cleland, C., Clément, B., Clements, D. L., Clerc, N., Clesse, S., Codis, S., Cogato, F., Colbert, J., Cole, R. E., Coles, P., Collett, T. E., Collins, R. S., Colodro-Conde, C., Colombo, C., Combes, F., Conforti, V., Congedo, G., Conseil, S., Conselice, C. J., Contarini, S., Contini, T., Conversi, L., Cooray, A. R., Copin, Y., Corasaniti, P. -S., Corcho-Caballero, P., Corcione, L., Cordes, O., Corpace, O., Correnti, M., Costanzi, M., Costille, A., Courbin, F., Mifsud, L. Courcoult, Courtois, H. M., Cousinou, M. -C., Covone, G., Cowell, T., Cragg, C., Cresci, G., Cristiani, S., Crocce, M., Cropper, M., Crouzet, P. E, Csizi, B., Cuby, J. -G., Cucchetti, E., Cucciati, O., Cuillandre, J. -C., Cunha, P. A. C., Cuozzo, V., Daddi, E., D'Addona, M., Dafonte, C., Dagoneau, N., Dalessandro, E., Dalton, G. B., D'Amico, G., Dannerbauer, H., Danto, P., Das, I., Da Silva, A., da Silva, R., Doumerg, W. d'Assignies, Daste, G., Davies, J. E., Davini, S., Dayal, P., de Boer, T., Decarli, R., De Caro, B., Degaudenzi, H., Degni, G., de Jong, J. T. A., de la Bella, L. F., de la Torre, S., Delhaise, F., Delley, D., Delucchi, G., De Lucia, G., Denniston, J., De Paolis, F., De Petris, M., Derosa, A., Desai, S., Desjacques, V., Despali, G., Desprez, G., De Vicente-Albendea, J., Deville, Y., Dias, J. D. F., Díaz-Sánchez, A., Diaz, J. J., Di Domizio, S., Diego, J. M., Di Ferdinando, D., Di Giorgio, A. M., Dimauro, P., Dinis, J., Dolag, K., Dolding, C., Dole, H., Sánchez, H. Domínguez, Doré, O., Dournac, F., Douspis, M., Dreihahn, H., Droge, B., Dryer, B., Dubath, F., Duc, P. -A., Ducret, F., Duffy, C., Dufresne, F., Duncan, C. A. J., Dupac, X., Duret, V., Durrer, R., Durret, F., Dusini, S., Ealet, A., Eggemeier, A., Eisenhardt, P. R. M., Elbaz, D., Elkhashab, M. Y., Ellien, A., Endicott, J., Enia, A., Erben, T., Vigo, J. A. Escartin, Escoffier, S., Sanz, I. Escudero, Essert, J., Ettori, S., Ezziati, M., Fabbian, G., Fabricius, M., Fang, Y., Farina, A., Farina, M., Farinelli, R., Farrens, S., Faustini, F., Feltre, A., Ferguson, A. M. N., Ferrando, P., Ferrari, A. G., Ferré-Mateu, A., Ferreira, P. G., Ferreras, I., Ferrero, I., Ferriol, S., Ferruit, P., Filleul, D., Finelli, F., Finkelstein, S. L., Finoguenov, A., Fiorini, B., Flentge, F., Focardi, P., Fonseca, J., Fontana, A., Fontanot, F., Fornari, F., Fosalba, P., Fossati, M., Fotopoulou, S., Fouchez, D., Fourmanoit, N., Frailis, M., Fraix-Burnet, D., Franceschi, E., Franco, A., Franzetti, P., Freihoefer, J., Frenk, C. . S., Frittoli, G., Frugier, P. -A., Frusciante, N., Fumagalli, A., Fumagalli, M., Fumana, M., Fu, Y., Gabarra, L., Galeotta, S., Galluccio, L., Ganga, K., Gao, H., García-Bellido, J., Garcia, K., Gardner, J. P., Garilli, B., Gaspar-Venancio, L. -M., Gasparetto, T., Gautard, V., Gavazzi, R., Gaztanaga, E., Genolet, L., Santos, R. Genova, Gentile, F., George, K., Gerbino, M., Ghaffari, Z., Giacomini, F., Gianotti, F., Gibb, G. P. S., Gillard, W., Gillis, B., Ginolfi, M., Giocoli, C., Girardi, M., Giri, S. K., Goh, L. W. K., Gómez-Alvarez, P., Gonzalez-Perez, V., Gonzalez, A. H., Gonzalez, E. J., Gonzalez, J. C., Beauchamps, S. Gouyou, Gozaliasl, G., Gracia-Carpio, J., Grandis, S., Granett, B. R., Granvik, M., Grazian, A., Gregorio, A., Grenet, C., Grillo, C., Grupp, F., Gruppioni, C., Gruppuso, A., Guerbuez, C., Guerrini, S., Guidi, M., Guillard, P., Gutierrez, C. M., Guttridge, P., Guzzo, L., Gwyn, S., Haapala, J., Haase, J., Haddow, C. R., Hailey, M., Hall, A., Hall, D., Hamaus, N., Haridasu, B. S., Harnois-Déraps, J., Harper, C., Hartley, W. G., Hasinger, G., Hassani, F., Hatch, N. A., Haugan, S. V. H., Häußler, B., Heavens, A., Heisenberg, L., Helmi, A., Helou, G., Hemmati, S., Henares, K., Herent, O., Hernández-Monteagudo, C., Heuberger, T., Hewett, P. C., Heydenreich, S., Hildebrandt, H., Hirschmann, M., Hjorth, J., Hoar, J., Hoekstra, H., Holland, A. D., Holliman, M. S., Holmes, W., Hook, I., Horeau, B., Hormuth, F., Hornstrup, A., Hosseini, S., Hu, D., Hudelot, P., Hudson, M. J., Huertas-Company, M., Huff, E. M., Hughes, A. C. N., Humphrey, A., Hunt, L. K., Huynh, D. D., Ibata, R., Ichikawa, K., Iglesias-Groth, S., Ilbert, O., Ilić, S., Ingoglia, L., Iodice, E., Israel, H., Israelsson, U. E., Izzo, L., Jablonka, P., Jackson, N., Jacobson, J., Jafariyazani, M., Jahnke, K., Jain, B., Jansen, H., Jarvis, M. J., Jasche, J., Jauzac, M., Jeffrey, N., Jhabvala, M., Jimenez-Teja, Y., Muñoz, A. Jimenez, Joachimi, B., Johansson, P. H., Joudaki, S., Jullo, E., Kajava, J. J. E., Kang, Y., Kannawadi, A., Kansal, V., Karagiannis, D., Kärcher, M., Kashlinsky, A., Kazandjian, M. V., Keck, F., Keihänen, E., Kerins, E., Kermiche, S., Khalil, A., Kiessling, A., Kiiveri, K., Kilbinger, M., Kim, J., King, R., Kirkpatrick, C. C., Kitching, T., Kluge, M., Knabenhans, M., Knapen, J. H., Knebe, A., Kneib, J. -P., Kohley, R., Koopmans, L. V. E., Koskinen, H., Koulouridis, E., Kou, R., Kovács, A., Kovačić, I., Kowalczyk, A., Koyama, K., Kraljic, K., Krause, O., Kruk, S., Kubik, B., Kuchner, U., Kuijken, K., Kümmel, M., Kunz, M., Kurki-Suonio, H., Lacasa, F., Lacey, C. G., La Franca, F., Lagarde, N., Lahav, O., Laigle, C., La Marca, A., La Marle, O., Lamine, B., Lam, M. C., Lançon, A., Landt, H., Langer, M., Lapi, A., Larcheveque, C., Larsen, S. S., Lattanzi, M., Laudisio, F., Laugier, D., Laureijs, R., Laurent, V., Lavaux, G., Lawrenson, A., Lazanu, A., Lazeyras, T., Boulc'h, Q. Le, Brun, A. M. C. Le, Brun, V. Le, Leclercq, F., Lee, S., Graet, J. Le, Legrand, L., Leirvik, K. N., Jeune, M. Le, Lembo, M., Mignant, D. Le, Lepinzan, M. D., Lepori, F., Reun, A. Le, Leroy, G., Lesci, G. F., Lesgourgues, J., Leuzzi, L., Levi, M. E., Liaudat, T. I., Libet, G., Liebing, P., Ligori, S., Lilje, P. B., Lin, C. -C., Linde, D., Linder, E., Lindholm, V., Linke, L., Li, S. -S., Liu, S. J., Lloro, I., Lobo, F. S. N., Lodieu, N., Lombardi, M., Lombriser, L., Lonare, P., Longo, G., López-Caniego, M., Lopez, X. Lopez, Alvarez, J. Lorenzo, Loureiro, A., Loveday, J., Lusso, E., Macias-Perez, J., Maciaszek, T., Maggio, G., Magliocchetti, M., Magnard, F., Magnier, E. A., Magro, A., Mahler, G., Mainetti, G., Maino, D., Maiorano, E., Malavasi, N., Mamon, G. A., Mancini, C., Mandelbaum, R., Manera, M., Manjón-García, A., Mannucci, F., Mansutti, O., Outeiro, M. Manteiga, Maoli, R., Maraston, C., Marcin, S., Marcos-Arenal, P., Margalef-Bentabol, B., Marggraf, O., Marinucci, D., Marinucci, M., Markovic, K., Marleau, F. R., Marpaud, J., Martignac, J., Martín-Fleitas, J., Martin-Moruno, P., Martin, E. L., Martinelli, M., Martinet, N., Martin, H., Martins, C. J. A. P., Marulli, F., Massari, D., Massey, R., Masters, D. C., Matarrese, S., Matsuoka, Y., Matthew, S., Maughan, B. J., Mauri, N., Maurin, L., Maurogordato, S., McCarthy, K., McConnachie, A. W., McCracken, H. J., McDonald, I., McEwen, J. D., McPartland, C. J. R., Medinaceli, E., Mehta, V., Mei, S., Melchior, M., Melin, J. -B., Ménard, B., Mendes, J., Mendez-Abreu, J., Meneghetti, M., Mercurio, A., Merlin, E., Metcalf, R. B., Meylan, G., Migliaccio, M., Mignoli, M., Miller, L., Miluzio, M., Milvang-Jensen, B., Mimoso, J. P., Miquel, R., Miyatake, H., Mobasher, B., Mohr, J. J., Monaco, P., Monguió, M., Montoro, A., Mora, A., Dizgah, A. Moradinezhad, Moresco, M., Moretti, C., Morgante, G., Morisset, N., Moriya, T. J., Morris, P. W., Mortlock, D. J., Moscardini, L., Mota, D. F., Mottet, S., Moustakas, L. A., Moutard, T., Müller, T., Munari, E., Murphree, G., Murray, C., Murray, N., Musi, P., Nadathur, S., Nagam, B. C., Nagao, T., Naidoo, K., Nakajima, R., Nally, C., Natoli, P., Navarro-Alsina, A., Girones, D. Navarro, Neissner, C., Nersesian, A., Nesseris, S., Nguyen-Kim, H. N., Nicastro, L., Nichol, R. C., Nielbock, M., Niemi, S. -M., Nieto, S., Nilsson, K., Noller, J., Norberg, P., Nouri-Zonoz, A., Ntelis, P., Nucita, A. A., Nugent, P., Nunes, N. J., Nutma, T., Ocampo, I., Odier, J., Oesch, P. A., Oguri, M., Oliveira, D. Magalhaes, Onoue, M., Oosterbroek, T., Oppizzi, F., Ordenovic, C., Osato, K., Pacaud, F., Pace, F., Padilla, C., Paech, K., Pagano, L., Page, M. J., Palazzi, E., Paltani, S., Pamuk, S., Pandolfi, S., Paoletti, D., Paolillo, M., Papaderos, P., Pardede, K., Parimbelli, G., Parmar, A., Partmann, C., Pasian, F., Passalacqua, F., Paterson, K., Patrizii, L., Pattison, C., Paulino-Afonso, A., Paviot, R., Peacock, J. A., Pearce, F. R., Pedersen, K., Peel, A., Peletier, R. F., Ibanez, M. Pellejero, Pello, R., Penny, M. T., Percival, W. J., Perez-Garrido, A., Perotto, L., Pettorino, V., Pezzotta, A., Pezzuto, S., Philippon, A., Pierre, M., Piersanti, O., Pietroni, M., Piga, L., Pilo, L., Pires, S., Pisani, A., Pizzella, A., Pizzuti, L., Plana, C., Polenta, G., Pollack, J. E., Poncet, M., Pöntinen, M., Pool, P., Popa, L. A., Popa, V., Popp, J., Porciani, C., Porth, L., Potter, D., Poulain, M., Pourtsidou, A., Pozzetti, L., Prandoni, I., Pratt, G. W., Prezelus, S., Prieto, E., Pugno, A., Quai, S., Quilley, L., Racca, G. D., Raccanelli, A., Rácz, G., Radinović, S., Radovich, M., Ragagnin, A., Ragnit, U., Raison, F., Ramos-Chernenko, N., Ranc, C., Rasera, Y., Raylet, N., Rebolo, R., Refregier, A., Reimberg, P., Reiprich, T. H., Renk, F., Renzi, A., Retre, J., Revaz, Y., Reylé, C., Reynolds, L., Rhodes, J., Ricci, F., Ricci, M., Riccio, G., Ricken, S. O., Rissanen, S., Risso, I., Rix, H. -W., Robin, A. C., Rocca-Volmerange, B., Rocci, P. -F., Rodenhuis, M., Rodighiero, G., Monroy, M. Rodriguez, Rollins, R. P., Romanello, M., Roman, J., Romelli, E., Romero-Gomez, M., Roncarelli, M., Rosati, P., Rosset, C., Rossetti, E., Roster, W., Rottgering, H. J. A., Rozas-Fernández, A., Ruane, K., Rubino-Martin, J. A., Rudolph, A., Ruppin, F., Rusholme, B., Sacquegna, S., Sáez-Casares, I., Saga, S., Saglia, R., Sahlén, M., Saifollahi, T., Sakr, Z., Salvalaggio, J., Salvaterra, R., Salvati, L., Salvato, M., Salvignol, J. -C., Sánchez, A. G., Sanchez, E., Sanders, D. B., Sapone, D., Saponara, M., Sarpa, E., Sarron, F., Sartori, S., Sartoris, B., Sassolas, B., Sauniere, L., Sauvage, M., Sawicki, M., Scaramella, R., Scarlata, C., Scharré, L., Schaye, J., Schewtschenko, J. A., Schindler, J. -T., Schinnerer, E., Schirmer, M., Schmidt, F., Schmidt, M., Schneider, A., Schneider, M., Schneider, P., Schöneberg, N., Schrabback, T., Schultheis, M., Schulz, S., Schuster, N., Schwartz, J., Sciotti, D., Scodeggio, M., Scognamiglio, D., Scott, D., Scottez, V., Secroun, A., Sefusatti, E., Seidel, G., Seiffert, M., Sellentin, E., Selwood, M., Semboloni, E., Sereno, M., Serjeant, S., Serrano, S., Setnikar, G., Shankar, F., Sharples, R. M., Short, A., Shulevski, A., Shuntov, M., Sias, M., Sikkema, G., Silvestri, A., Simon, P., Sirignano, C., Sirri, G., Skottfelt, J., Slezak, E., Sluse, D., Smith, G. P., Smith, L. C., Smith, R. E., Smit, S. J. A., Soldano, F., Solheim, B. G. B., Sorce, J. G., Sorrenti, F., Soubrie, E., Spinoglio, L., Mancini, A. Spurio, Stadel, J., Stagnaro, L., Stanco, L., Stanford, S. A., Starck, J. -L., Stassi, P., Steinwagner, J., Stern, D., Stone, C., Strada, P., Strafella, F., Stramaccioni, D., Surace, C., Sureau, F., Suyu, S. H., Swindells, I., Szafraniec, M., Szapudi, I., Taamoli, S., Talia, M., Tallada-Crespí, P., Tanidis, K., Tao, C., Tarrío, P., Tavagnacco, D., Taylor, A. N., Taylor, J. E., Taylor, P. L., Teixeira, E. M., Tenti, M., Idiago, P. Teodoro, Teplitz, H. I., Tereno, I., Tessore, N., Testa, V., Testera, G., Tewes, M., Teyssier, R., Theret, N., Thizy, C., Thomas, P. D., Toba, Y., Toft, S., Toledo-Moreo, R., Tolstoy, E., Tommasi, E., Torbaniuk, O., Torradeflot, F., Tortora, C., Tosi, S., Tosti, S., Trifoglio, M., Troja, A., Trombetti, T., Tronconi, A., Tsedrik, M., Tsyganov, A., Tucci, M., Tutusaus, I., Uhlemann, C., Ulivi, L., Urbano, M., Vacher, L., Vaillon, L., Valageas, P., Valdes, I., Valentijn, E. A., Valenziano, L., Valieri, C., Valiviita, J., Broeck, M. Van den, Vassallo, T., Vavrek, R., Vega-Ferrero, J., Venemans, B., Venhola, A., Ventura, S., Kleijn, G. Verdoes, Vergani, D., Verma, A., Vernizzi, F., Veropalumbo, A., Verza, G., Vescovi, C., Vibert, D., Viel, M., Vielzeuf, P., Viglione, C., Viitanen, A., Villaescusa-Navarro, F., Vinciguerra, S., Visticot, F., Voggel, K., von Wietersheim-Kramsta, M., Vriend, W. J., Wachter, S., Walmsley, M., Walth, G., Walton, D. M., Walton, N. A., Wander, M., Wang, L., Wang, Y., Weaver, J. R., Weller, J., Wetzstein, M., Whalen, D. J., Whittam, I. H., Widmer, A., Wiesmann, M., Wilde, J., Williams, O. R., Winther, H. -A., Wittje, A., Wong, J. H. W., Wright, A. H., Yankelevich, V., Yeung, H. W., Yoon, M., Youles, S., Yung, L. Y. A., Zacchei, A., Zalesky, L., Zamorani, G., Vitorelli, A. Zamorano, Marc, M. Zanoni, Zennaro, M., Zerbi, F. M., Zinchenko, I. A., Zoubian, J., Zucca, E., and Zumalacarregui, M.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Euclid is a medium-class mission in the Cosmic Vision 2015-2025 programme of the European Space Agency (ESA) that will provide high-resolution optical imaging, as well as near-infrared imaging and spectroscopy, over about 14,000 deg^2 of extragalactic sky. In addition to accurate weak lensing and clustering measurements that probe structure formation over half of the age of the Universe, its primary probes for cosmology, these exquisite data will enable a wide range of science. This paper provides a high-level overview of the mission, summarising the survey characteristics, the various data-processing steps, and data products. We also highlight the main science objectives and expected performance., Comment: Accepted for publication in the A&A special issue`Euclid on Sky'

Published
2024

7. A machine learning workflow to address credit default prediction

Author

Rahmani, Rambod, Parola, Marco, and Cimino, Mario G. C. A.

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning, Quantitative Finance - Risk Management
Abstract

Due to the recent increase in interest in Financial Technology (FinTech), applications like credit default prediction (CDP) are gaining significant industrial and academic attention. In this regard, CDP plays a crucial role in assessing the creditworthiness of individuals and businesses, enabling lenders to make informed decisions regarding loan approvals and risk management. In this paper, we propose a workflow-based approach to improve CDP, which refers to the task of assessing the probability that a borrower will default on his or her credit obligations. The workflow consists of multiple steps, each designed to leverage the strengths of different techniques featured in machine learning pipelines and, thus best solve the CDP task. We employ a comprehensive and systematic approach starting with data preprocessing using Weight of Evidence encoding, a technique that ensures in a single-shot data scaling by removing outliers, handling missing values, and making data uniform for models working with different data types. Next, we train several families of learning models, introducing ensemble techniques to build more robust models and hyperparameter optimization via multi-objective genetic algorithms to consider both predictive accuracy and financial aspects. Our research aims at contributing to the FinTech industry in providing a tool to move toward more accurate and reliable credit risk assessment, benefiting both lenders and borrowers.

Published
2024

13. Comparison of perioperative and short-terms outcomes of en-bloc Holmium laser enucleation of the prostate (HoLEP) and robot-assisted simple prostatectomy: a propensity-score matching analysis

Author

Grosso, Antonio Andrea, Amparore, Daniele, Di Maida, Fabrizio, de Cillis, Sabrina, Cocci, Andrea, Di Dio, Michele, Russo, Giorgio Ivan, Cimino, Sebastiano, Quarà, Alberto, Salvi, Matteo, Fiori, Cristian, Mari, Andrea, Porpiglia, Francesco, Minervini, Andrea, and Tuccio, Agostino

Published
2024
Full Text
View/download PDF

16. Molecular and clinicopathologic characteristics of CNS embryonal tumors with BRD4::LEUTX fusion.

Author

Andreiuolo, Felipe, Ferrone, Christina, Rajan, Sharika, Guney, Ekin, Cham, Elaine, Giannini, Caterina, Toland, Angus, Willard, Nicholas, de Souza, Andrea, Dazelle, Karen, Chung, Hye-Jung, Singh, Omkar, Conway, Kyle, Coley, Nicholas, Dampier, Christopher, Abdullaev, Zied, Pratt, Drew, Cimino, Patrick, Quezado, Martha, Aldape, Kenneth, and Perry, Arie

Subjects
BRD4::LEUTX, Embryonal tumor, Methylation, Humans, Brain Neoplasms, Nuclear Proteins, Transcription Factors, Central Nervous System Neoplasms, Neoplasms, Germ Cell and Embryonal, Bromodomain Containing Proteins, Cell Cycle Proteins, Forkhead Transcription Factors, Homeodomain Proteins
Abstract

Central nervous system (CNS) embryonal tumors are a heterogeneous group of high-grade malignancies, and the increasing clinical use of methylation profiling and next-generation sequencing has led to the identification of molecularly distinct subtypes. One proposed tumor type, CNS tumor with BRD4::LEUTX fusion, has been described. As only a few CNS tumors with BRD4::LEUTX fusions have been described, we herein characterize a cohort of 9 such cases (4 new, 5 previously published) to further describe their clinicopathologic and molecular features. We demonstrate that CNS embryonal tumor with BRD4::LEUTX fusion comprises a well-defined methylation class/cluster. We find that patients are young (4 years or younger), with large tumors at variable locations, and frequently with evidence of leptomeningeal/cerebrospinal fluid (CSF) dissemination. Histologically, tumors were highly cellular with high-grade embryonal features. Immunohistochemically, 5/5 cases showed synaptophysin and 4/5 showed OLIG2 expression, thus overlapping with CNS neuroblastoma, FOXR2-activated. DNA copy number profiles were generally flat; however, two tumors had chromosome 1q gains. No recurring genomic changes, besides the presence of the fusion, were found. The LEUTX portion of the fusion transcript was constant in all cases assessed, while the BRD4 portion varied but included a domain with proto-oncogenic activity in all cases. Two patients with clinical follow up available had tumors with excellent response to chemotherapy. Two of our patients were alive without evidence of recurrence or progression after gross total resection and chemotherapy at 16 and 33 months. One patient relapsed, and the last of our four patients died of disease one month after diagnosis. Overall, this case series provides additional evidence for this as a distinct tumor type defined by the presence of a specific fusion as well as a distinct DNA methylation signature. Studies on larger series are required to further characterize these tumors.

Published
2024

20. Entinostat, nivolumab and ipilimumab for women with advanced HER2-negative breast cancer: a phase Ib trial

Author

Roussos Torres, Evanthia.T., Ho, Won J., Danilova, Ludmila, Tandurella, Joseph A., Leatherman, James, Rafie, Christine, Wang, Chenguang, Brufsky, Adam, LoRusso, Patricia, Chung, Vincent, Yuan, Yuan, Downs, Melinda, O’Connor, Ashley, Shin, Sarah M., Hernandez, Alexei, Engle, Elizabeth L., Piekarz, Richard, Streicher, Howard, Talebi, Zahra, Rudek, Michelle A., Zhu, Qingfeng, Anders, Robert A., Cimino-Mathews, Ashley, Fertig, Elana J., Jaffee, Elizabeth M., Stearns, Vered, and Connolly, Roisin M.

Published
2024
Full Text
View/download PDF

23. Tests of the envelope theory for three-body forces

Author

Cimino, Lorenzo, Tourbez, Clara, Chevalier, Cyrille, Lacroix, Gwendolyn, and Semay, Claude

Subjects
Quantum Physics
Abstract

Many-body forces, and specially three-body forces, are sometimes a relevant ingredient in various fields, such as atomic, nuclear or hadronic physics. As their precise structure is generally difficult to uncover or to implement, phenomenological effective forces are often used in practice. A form commonly used for a many-body variable is the square-root of the sum of two-body variables. Even in this case, the problem can be very difficult to treat numerically. But this kind of many-body forces can be handled at the same level of difficulty than two-body forces by the envelope theory. The envelope theory is a very efficient technique to compute approximate, but reliable, solutions of many-body systems, specially for identical particles. The quality of this technique is tested here for various three-body forces with non-relativistic systems composed of three identical particles. The energies, the eigenfunctions, and some observables are compared with the corresponding accurate results computed with a numerical variational method., Comment: 13 pages

Published
2023
Full Text
View/download PDF

25. Divergent responses of highly migratory species to climate change in the California Current

Author

Lezama‐Ochoa, Nerea, Brodie, Stephanie, Welch, Heather, Jacox, Michael G, Buil, Mercedes Pozo, Fiechter, Jerome, Cimino, Megan, Muhling, Barbara, Dewar, Heidi, Becker, Elizabeth A, Forney, Karin A, Costa, Daniel, Benson, Scott R, Farchadi, Nima, Braun, Camrin, Lewison, Rebecca, Bograd, Steven, and Hazen, Elliott L

Subjects
Environmental Sciences, Biological Sciences, Environmental Management, Life on Land, Climate Action, California Current System, centre of gravity, climate change, downscaled ocean projections, earth system model, habitat suitability index, species distribution model, Ecology, Biological sciences, Environmental sciences
Abstract

Aim: Marine biodiversity faces unprecedented threats from anthropogenic climate change. Ecosystem responses to climate change have exhibited substantial variability in the direction and magnitude of redistribution, posing challenges for developing effective climate-adaptive marine management strategies. Location: The California Current Ecosystem (CCE), USA. Methods: We project suitable habitat for 10 highly migratory species in the California Current System using an ensemble of three high-resolution (~10 km) downscaled ocean projections under the Representative Concentration Pathway 8.5 (RCP8.5). Spanning the period from 1980 to 2100, our analysis focuses on assessing the direction and distance of distributional shifts, as well as changes in core habitat area for each species. Results: Our findings reveal a divergent response among species to climate impacts. Specifically, four species were projected to undergo significant poleward shifts exceeding 100 km, and gain habitat (~7%–60%) in response to climate change. Conversely, six species were projected to shift towards the coast, resulting in a loss of habitat ranging from 10% to 66% by the end of the century. These divergent responses could typically be characterized by the mode of thermoregulation (i.e. ectotherm vs. endotherm) and species' affiliations with cool and productive upwelled waters that are characteristic of the region. Furthermore, our study highlights an increase in niche overlap between protected species and those targeted by fisheries, which may lead to increased human interaction events under climate change. Main Conclusions: By providing valuable species distribution projections, our research contributes to the understanding of climate change effects on marine biodiversity and offers critical insight and support for developing climate-ready management of protected and fished species.

Published
2024

26. Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study

Author

Paolillo, Emily W, Casaletto, Kaitlin B, Clark, Annie L, Taylor, Jack C, Heuer, Hilary W, Wise, Amy B, Dhanam, Sreya, Sanderson-Cimino, Mark, Saloner, Rowan, Kramer, Joel H, Kornak, John, Kremers, Walter, Forsberg, Leah, Appleby, Brian, Bayram, Ece, Bozoki, Andrea, Brushaber, Danielle, Darby, R Ryan, Day, Gregory S, Dickerson, Bradford C, Domoto-Reilly, Kimiko, Elahi, Fanny, Fields, Julie A, Ghoshal, Nupur, Graff-Radford, Neill, Hall, Matthew GH, Honig, Lawrence S, Huey, Edward D, Lapid, Maria I, Litvan, Irene, Mackenzie, Ian R, Masdeu, Joseph C, Mendez, Mario F, Mester, Carly, Miyagawa, Toji, Naasan, Georges, Pascual, Belen, Pressman, Peter, Ramos, Eliana Marisa, Rankin, Katherine P, Rexach, Jessica, Rojas, Julio C, VandeVrede, Lawren, Wong, Bonnie, Wszolek, Zbigniew K, Boeve, Bradley F, Rosen, Howard J, Boxer, Adam L, Staffaroni, Adam M, and Consortium, ALLFTD

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Alzheimer's Disease Related Dementias (ADRD), Basic Behavioral and Social Science, Alzheimer's Disease, Behavioral and Social Science, Neurosciences, Brain Disorders, Dementia, Acquired Cognitive Impairment, Mental Health, Aging, Frontotemporal Dementia (FTD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Clinical Research, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies, Mental health, Neurological, Humans, Female, Male, Middle Aged, Frontotemporal Dementia, Smartphone, Aged, Severity of Illness Index, Proof of Concept Study, Adult, Longitudinal Studies, Neuropsychological Tests, Mobile Applications, digital, technology, remote, monitoring, cognition, neuropsychology, cognitive impairment, neurodegenerative, screening, clinical trials, mobile phone, ALLFTD Consortium, Clinical sciences, Biomedical engineering, Health services and systems
Abstract

BackgroundFrontotemporal lobar degeneration (FTLD) is a leading cause of dementia in individuals aged

Published
2024

27. Dynamic human, oceanographic, and ecological factors mediate transboundary fishery overlap across the Pacific high seas

Author

Frawley, Timothy H, Muhling, Barbara, Brodie, Stephanie, Blondin, Hannah, Welch, Heather, Arostegui, Martin C, Bograd, Steven J, Braun, Camrin D, Cimino, Megan A, Farchadi, Nima, Hazen, Elliott L, Tommasi, Desiree, and Jacox, Michael

Subjects
Environmental Sciences, Environmental Management, Life Below Water, albacore tuna, dynamic ocean management, fisheries overlap, North Pacific transition zone, pelagic longlines, stock assessment, Ecology, Fisheries Sciences, Fisheries, Fisheries sciences, Environmental management
Abstract

The management and conservation of tuna and other transboundary marine species have to date been limited by an incomplete understanding of the oceanographic, ecological and socioeconomic factors mediating fishery overlap and interactions, and how these factors vary across expansive, open ocean habitats. Despite advances in fisheries monitoring and biologging technology, few attempts have been made to conduct integrated ecological analyses at basin scales relevant to pelagic fisheries and the highly migratory species they target. Here, we use vessel tracking data, archival tags, observer records, and machine learning to examine inter- and intra-annual variability in fisheries overlap (2013–2020) of five pelagic longline fishing fleets with North Pacific albacore tuna (Thunnus alalunga, Scombridae). Although progressive declines in catch and biomass have been observed over the past several decades, the North Pacific albacore is one of the only Pacific tuna stocks primarily targeted by pelagic longlines not currently listed as overfished or experiencing overfishing. We find that fishery overlap varies significantly across time and space as mediated by (1) differences in habitat preferences between juvenile and adult albacore; (2) variation of oceanographic features known to aggregate pelagic biomass; and (3) the different spatial niches targeted by shallow-set and deep-set longline fishing gear. These findings may have significant implications for stock assessment in this and other transboundary fishery systems, particularly the reliance on fishery-dependent data to index abundance. Indeed, we argue that additional consideration of how overlap, catchability, and size selectivity parameters vary over time and space may be required to ensure the development of robust, equitable, and climate-resilient harvest control rules.

Published
2024

28. Comparison of multi-parallel quantitative real-time PCRs targeting different DNA regions and detecting soil-transmitted helminths in stool

Author

Marina Papaiakovou, Rubén O. Cimino, Nils Pilotte, Julia Dunn, D. Timothy J. Littlewood, Steven A. Williams, Alejandro J. Krolewiecki, and Rojelio Mejia

Subjects
Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background Soil-transmitted helminths infect an estimated 18% of the world’s population, causing a significant health burden. Microscopy has been the primary tool for diagnosing eggs from fecal samples, but its sensitivity drops in low-prevalence settings. Quantitative real-time polymerase chain reaction (qPCR) is slowly increasing in research and clinical settings. However, there is still no consensus on preferred qPCR targets. Methods We aimed to compare soil-transmitted helminth (STH) DNA detection methods by testing naïve stool samples spiked with known quantities of STH eggs and larvae. DNA extracts from spiked samples were tested using independent quantitative realtime PCR (qPCR) assays targeting ribosomal or putative non-protein coding satellite sequences. Results For Trichuris trichiura, there was a strong correlation between egg/larvae counts and qPCR results using either qPCR method (0.86 and 0.87, respectively). Strong correlations also existed for A. lumbricoides (0.60 and 0.63, respectively), but weaker correlations were found for Ancylostoma duodenale (0.41 for both assays) and Strongyloides stercoralis (0.48 and 0.65, respectively). No correlation for Necator americanus was observed when testing with either qPCR assay. Both assays had fair-to-moderate agreement across targets when using field-collected stool samples (0.28–0.45, for all STHs), except for S. stercoralis (0.12) with slight agreement. Conclusions There is a strong correlation between qPCR results and egg/larvae counts. Our study confirms that qPCR is an effective diagnostic tool, even with low-intensity infections, regardless of the DNA-based diagnostic marker used. However, the moderate agreement between the two different qPCR assays when testing field samples highlights the need to understand the role of these targets in the genome so that the parasite burden can be quantified more accurately and consistently by qPCR. Graphical abstract

Published
2024
Full Text
View/download PDF

29. Breast calcifications on mammography from systemic amyloidosis: A case report

Author

Joanna Rossi, MD, MPH, Rebecca Wingfield, MD, and Ashley Cimino-Mathews, MD

Subjects
Amyloidosis, Light chain (AL) amyloidosis, Systemic amyloidosis, Breast calcifications, Mammography, Congo red, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Calcifications on mammography from systemic disease at times meet diagnostic criteria for histologic sampling to exclude malignancy. We present a case of bilateral groups of new calcifications on mammography that yielded amyloidosis on core biopsy. Awareness of our patient's known diagnosis of systemic light chain amyloidosis (AL) prompted use of Congo red staining to confirm the histologic diagnosis. Knowledge of systemic diseases with possible manifestations on mammography can facilitate cogent and clinically relevant radiology-pathology correlation.

Published
2024
Full Text
View/download PDF

30. Higher cortical thickness/volume in Alzheimer’s-related regions: protective factor or risk factor?

Author

Williams, McKenna E, Elman, Jeremy A, Bell, Tyler R, Dale, Anders M, Eyler, Lisa T, Fennema-Notestine, Christine, Franz, Carol E, Gillespie, Nathan A, Hagler, Donald J, Lyons, Michael J, McEvoy, Linda K, Neale, Michael C, Panizzon, Matthew S, Reynolds, Chandra A, Sanderson-Cimino, Mark, and Kremen, William S

Subjects
Biological Psychology, Psychology, Alzheimer's Disease, Neurosciences, Neurodegenerative, Dementia, Acquired Cognitive Impairment, Behavioral and Social Science, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Clinical Research, Prevention, Aging, 2.1 Biological and endogenous factors, Neurological, Male, Humans, Alzheimer Disease, Protective Factors, Brain, Risk Factors, Magnetic Resonance Imaging, Alzheimer's disease, Neuroimaging, Signatures, Cortical thickness, Mean diffusivity, Alzheimer’s disease, Clinical Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Some evidence suggests a biphasic pattern of changes in cortical thickness wherein higher, rather than lower, thickness is associated with very early Alzheimer's disease (AD) pathology. We examined whether integrating information from AD brain signatures based on mean diffusivity (MD) can aid in the interpretation of cortical thickness/volume as a risk factor for future AD-related changes. Participants were 572 men in the Vietnam Era Twin Study of Aging who were cognitively unimpaired at baseline (mean age = 56 years; range = 51-60). Individuals with both high thickness/volume signatures and high MD signatures at baseline had lower cortical thickness/volume in AD signature regions and lower episodic memory performance 12 years later compared to those with high thickness/volume and low MD signatures at baseline. Groups did not differ in level of young adult cognitive reserve. Our findings are in line with a biphasic model in which increased cortical thickness may precede future decline and establish the value of examining cortical MD alongside cortical thickness to identify subgroups with differential risk for poorer brain and cognitive outcomes.

Published
2023

31. Genetic and Environmental Influences on Structural and Diffusion-Based Alzheimer’s Disease Neuroimaging Signatures Across Midlife and Early Old Age

Author

Williams, McKenna E, Gillespie, Nathan A, Bell, Tyler R, Dale, Anders M, Elman, Jeremy A, Eyler, Lisa T, Fennema-Notestine, Christine, Franz, Carol E, Hagler, Donald J, Lyons, Michael J, McEvoy, Linda K, Neale, Michael C, Panizzon, Matthew S, Reynolds, Chandra A, Sanderson-Cimino, Mark, and Kremen, William S

Subjects
Biological Psychology, Psychology, Neurodegenerative, Biomedical Imaging, Dementia, Acquired Cognitive Impairment, Genetics, Brain Disorders, Alzheimer's Disease, Aging, Neurosciences, Prevention, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Neurological, Male, Humans, Child, Alzheimer Disease, Diffusion Tensor Imaging, Neuroimaging, Magnetic Resonance Imaging, Brain, Alzheimer’s disease, Brain age, Cortical thickness, Early prediction, Mean diffusivity, Biological psychology, Clinical and health psychology
Abstract

BackgroundComposite scores of magnetic resonance imaging-derived metrics in brain regions associated with Alzheimer's disease (AD), commonly termed AD signatures, have been developed to distinguish early AD-related atrophy from normal age-associated changes. Diffusion-based gray matter signatures may be more sensitive to early AD-related changes compared with thickness/volume-based signatures, demonstrating their potential clinical utility. The timing of early (i.e., midlife) changes in AD signatures from different modalities and whether diffusion- and thickness/volume-based signatures each capture unique AD-related phenotypic or genetic information remains unknown.MethodsOur validated thickness/volume signature, our novel mean diffusivity (MD) signature, and a magnetic resonance imaging-derived measure of brain age were used in biometrical analyses to examine genetic and environmental influences on the measures as well as phenotypic and genetic relationships between measures over 12 years. Participants were 736 men from 3 waves of the Vietnam Era Twin Study of Aging (VETSA) (baseline/wave 1: mean age [years] = 56.1, SD = 2.6, range = 51.1-60.2). Subsequent waves occurred at approximately 5.7-year intervals.ResultsMD and thickness/volume signatures were highly heritable (56%-72%). Baseline MD signatures predicted thickness/volume signatures over a decade later, but baseline thickness/volume signatures showed a significantly weaker relationship with future MD signatures. AD signatures and brain age were correlated, but each measure captured unique phenotypic and genetic variance.ConclusionsCortical MD and thickness/volume AD signatures are heritable, and each signature captures unique variance that is also not explained by brain age. Moreover, results are in line with changes in MD emerging before changes in cortical thickness, underscoring the utility of MD as a very early predictor of AD risk.

Published
2023

32. Impacts of marine heatwaves on top predator distributions are variable but predictable

Author

Welch, Heather, Savoca, Matthew S, Brodie, Stephanie, Jacox, Michael G, Muhling, Barbara A, Clay, Thomas A, Cimino, Megan A, Benson, Scott R, Block, Barbara A, Conners, Melinda G, Costa, Daniel P, Jordan, Fredrick D, Leising, Andrew W, Mikles, Chloe S, Palacios, Daniel M, Shaffer, Scott A, Thorne, Lesley H, Watson, Jordan T, Holser, Rachel R, Dewitt, Lynn, Bograd, Steven J, and Hazen, Elliott L

Subjects
Climate Change Impacts and Adaptation, Environmental Management, Environmental Sciences, Climate Action, Life Below Water, Climate, Geography
Abstract

Marine heatwaves cause widespread environmental, biological, and socio-economic impacts, placing them at the forefront of 21st-century management challenges. However, heatwaves vary in intensity and evolution, and a paucity of information on how this variability impacts marine species limits our ability to proactively manage for these extreme events. Here, we model the effects of four recent heatwaves (2014, 2015, 2019, 2020) in the Northeastern Pacific on the distributions of 14 top predator species of ecological, cultural, and commercial importance. Predicted responses were highly variable across species and heatwaves, ranging from near total loss of habitat to a two-fold increase. Heatwaves rapidly altered political bio-geographies, with up to 10% of predicted habitat across all species shifting jurisdictions during individual heatwaves. The variability in predicted responses across species and heatwaves portends the need for novel management solutions that can rapidly respond to extreme climate events. As proof-of-concept, we developed an operational dynamic ocean management tool that predicts predator distributions and responses to extreme conditions in near real-time.

Published
2023

38. Papillary tumor of the pineal region: analysis of DNA methylation profiles and clinical outcomes in 76 cases

Author

Wu, Zhichao, Dazelle, Karen, Abdullaev, Zied, Chung, Hye-Jung, Dahiya, Sonika, Wood, Matthew, Lee, Han, Lucas, Calixto-Hope G., Mao, Qinwen, Robinson, Lorraina, Fernandes, Igor, McCord, Matthew, Pytel, Peter, Conway, Kyle S., Yoda, Rebecca, Eschbacher, Jennifer M., Maher, Ossama M., Hasselblatt, Martin, Mobley, Bret C., Raisanen, Jack M., Hatanpaa, Kimmo J., Byers, Joshua, Lehman, Norman L., Cimino, Patrick J., Pratt, Drew, Quezado, Martha, and Aldape, Kenneth

Published
2024
Full Text
View/download PDF

40. Comparison of “IN-REC-SUR-E” and LISA in preterm neonates with respiratory distress syndrome: a randomized controlled trial (IN-REC-LISA trial)

Author

Vento, Giovanni, Paladini, Angela, Aurilia, C., Ozdemir, S. Alkan, Carnielli, V. P., Cools, F., Costa, S., Cota, F., Dani, C., Davis, P. G., Fattore, S., Fè, C., Finer, N., Fusco, F. P., Gizzi, C., Herting, E., Jian, M., Lio, A., Lista, G., Mosca, F., Nobile, S., Perri, A., Picone, S., Pillow, J. J., Polglase, G., Pasciuto, T., Pastorino, R., Tana, M., Tingay, D., Tirone, C., van Kaam, A. H., Ventura, M. L., Aceti, A., Agosti, M., Alighieri, G., Ancora, G., Angileri, V., Ausanio, G., Aversa, S., Balestri, E., Baraldi, E., Barbini, M. C., Barone, C., Beghini, R., Bellan, C., Berardi, A., Bernardo, I., Betta, P., Binotti, M., Bizzarri, B., Borgarello, G., Borgione, S., Borrelli, A., Bottino, R., Bracaglia, G., Bresesti, I., Burattini, I., Cacace, C., Calzolari, F., Campagnoli, M. F., Capasso, L., Capozza, M., Capretti, M. G., Caravetta, J., Carbonara, C., Cardilli, V., Carta, M., Castoldi, F., Castronovo, A., Cavalleri, E., Cavigioli, F., Cecchi, S., Chierici, V., Cimino, C., Cocca, F., Cocca, C., Cogo, P., Coma, M., Comito, V., Condò, V., Consigli, C., Conti, R., Corradi, M., Corsello, G., Corvaglia, L. T., Costa, A., Coscia, A., Cresi, F., Crispino, F., D’Amico, P., De Cosmo, L., De Maio, C., Del Campo, G., Di Credico, S., Di Fabio, S., Di Nicola, P., Di Paolo, A., Di Valerio, S., Distilo, A., Duca, V., Falcone, A., Falsaperla, R., Fasolato, V. A., Fatuzzo, V., Favini, F., Ferrarello, M. P., Ferrari, S., Nastro, F. Fiori, Forcellini, C. A., Fracchiolla, A., Gabriele, A., Galdo, F., Gallini, F., Gangemi, A., Gargano, G., Gazzolo, D., Gentile, M. P., Ghirardello, S., Giardina, F., Giordano, L., Gitto, E., Giuffrè, M., Grappone, L., Grasso, F., Greco, I., Grison, A., Guglielmino, R., Guidotti, I., Guzzo, I., La Forgia, N., La Placa, S., La Torre, G., Lago, P., Lanciotti, L., Lavizzari, A., Leo, F., Leonardi, V., Lestingi, D., Li, J., Liberatore, P., Lodin, D., Lubrano, R., Lucente, M., Luciani, S., Luvarà, D., Maffei, G., Maggio, A., Maggio, L., Maiolo, K., Malaigia, L., Mangili, G., Manna, A., Maranella, E., Marciano, A., Marcozzi, P., Marletta, M., Marseglia, L., Martinelli, D., Martinelli, S., Massari, S., Massenzi, L., Matina, F., Mattia, L., Mescoli, G., Migliore, I. V., Minghetti, D., Mondello, I., Montano, S., Morandi, G., Mores, N., Morreale, S., Morselli, I., Motta, M., Napolitano, M., Nardo, D., Nicolardi, A., Nider, S., Nigro, G., Nuccio, M., Orfeo, L., Ottaviano, C., Paganin, P., Palamides, S., Palatta, S., Paolillo, P., Pappalardo, M. G., Pasta, E., Patti, L., Paviotti, G., Perniola, R., Perotti, G., Perrone, S., Petrillo, F., Piazza, M. S., Piccirillo, A., Pierro, M., Piga, E., Pingitore, G. A., Pisu, S., Pittini, C., Pontiggia, F., Pontrelli, G., Primavera, A., Proto, A., Quartulli, L., Raimondi, F., Ramenghi, L., Rapsomaniki, M., Ricotti, A., Rigotti, C., Rinaldi, M., Risso, F. M., Roma, E., Romanini, E., Romano, V., Rosati, E., Rosella, V., Rulli, I., Salvo, V., Sanfilippo, C., Sannia, A., Saporito, A., Sauna, A., Scapillati, E., Schettini, F., Scorrano, A., Mantelli, S. Semeria, Sepporta, V., Sindico, P., Solinas, A., Sorrentino, E., Spaggiari, E., Staffler, A., Stella, M., Termini, D., Terrin, G., Testa, A., Tina, G., Tirantello, M., Tomasini, B., Tormena, F., Travan, L., Trevisanuto, D., Tuling, G., Tulino, V., Valenzano, L., Vedovato, S., Vendramin, S., Villani, P. E., Viola, S., Viola, V., Vitaliti, G., Vitaliti, M., Wanker, P., Yang, Y., Zanetta, S., and Zannin, E.

Published
2024
Full Text
View/download PDF

41. Dynamic microfluidic single-cell screening identifies pheno-tuning compounds to potentiate tuberculosis therapy

Author

Mistretta, Maxime, Cimino, Mena, Campagne, Pascal, Volant, Stevenn, Kornobis, Etienne, Hebert, Olivier, Rochais, Christophe, Dallemagne, Patrick, Lecoutey, Cédric, Tisnerat, Camille, Lepailleur, Alban, Ayotte, Yann, LaPlante, Steven R., Gangneux, Nicolas, Záhorszká, Monika, Korduláková, Jana, Vichier-Guerre, Sophie, Bonhomme, Frédéric, Pokorny, Laura, Albert, Marvin, Tinevez, Jean-Yves, and Manina, Giulia

Published
2024
Full Text
View/download PDF

48. Evaluation of a large set of patients with Autoimmune Polyglandular Syndrome from a single reference centre in context of different classifications

Author

Gatta, E., Maltese, V., Cimino, E., Cavadini, M., Anelli, V., Di Lodovico, E., Piovani, E., Zammarchi, I., Gozzoli, G., Agosti, B., Pirola, I., Delbarba, A., Girelli, A., Buoso, C., Bambini, F., Alfieri, D., Bremi, W., Facondo, P., Lupo, R., Bezzi, F., Fredi, M., Mazzola, A. M., Gandossi, E., Saullo, M., Marini, F., Licini, M., Pezzaioli, L. C., Pini, L., Franceschini, F., Ricci, C., and Cappelli, C.

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results