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Article: Acción del bocio no tóxico sobre el aparato cardiovascular.

COSSIO, F

Revista de la Asociacion Medica Argentina

2003 Volume 67, Issue 759-760, Page(s) 448–449

Title translation	The action of non-toxic goiter on the cardiovascular system.
MeSH term(s)	Cardiovascular System ; Goiter ; Goiter, Endemic ; Humans
Language	Undetermined
Publishing date	2003-09-12
Publishing country	Argentina
Document type	Journal Article
ZDB-ID	422344-5
ISSN	0004-4830
ISSN	0004-4830
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Article: Field performance of six Chinese jujube cultivars introduced and tested in Northern Italy

Cossio, F / Bassi, G

Acta horticulturae. 2013 May, , no. 993

2013

Abstract: In 1995, six cultivars of Chinese jujube (Ziziphus jujube Mill.) which were thought to be potentially interesting for their diffusion in Italy were introduced and tested at the Experimental Institute for Fruit Growing of Verona Province, Italy. They were ...

Abstract	In 1995, six cultivars of Chinese jujube (Ziziphus jujube Mill.) which were thought to be potentially interesting for their diffusion in Italy were introduced and tested at the Experimental Institute for Fruit Growing of Verona Province, Italy. They were 'Buluosuzao', 'Dabaizao', 'Dongzao', 'Hupingzao', 'Meimizao' and 'Zanhuangdazao'. After several years of observations the results are very promising. The cultivars introduced produce very big fruit, two or three times the weight of fruit of common Italian cultivars, and the results have generally confirmed the valuable features found in China. The main factors limiting the spread of these cultivars are that the fruit appear to be susceptible to cracking due to rain, and in general it is difficult to determine harvest time. Harvesting starts with 'Meimizao' in the middle of September and ends in the third week of October with 'Dongzao'. Harvesting generally requires two to four consecutive harvests and the fruits are not homogeneous in size and shape in some cultivars, particularly in 'Dabaizao'. Generally they have excellent quality for fresh consumption, high content of soluble solids, crisp flesh and are very tasty. These initial results of cultivation in North Italian environment are encouraging, demonstrating the potential of the wide genetic heritage of this Chinese species. It is therefore considered that these six cultivars, possibly together with other Chinese genotypes, are worthy of further testing in Italy and also in Europe in different local environments, soils and climates for a diffusion that values the following distinctive features: the absence of very small thorns, rapid tree development, early and high yields, big fruit size, harvesting and consumption over an extended period, and high-value organoleptic fruit qualities. These plants appear to have no serious diseases, insects or pests in Italy, so they can easily be introduced for integrated or organic fruit production. Taking in consideration these results, the cultivation of some Chinese jujube cultivars should be extended, both for garden and commercial plantings.
Keywords	Ziziphus jujuba ; cracking ; cultivars ; fruit growing ; fruits ; gardens ; genotype ; harvest date ; insects ; pests ; plant spines ; soil ; soluble solids ; trees ; China ; Italy
Language	English
Size	p. 21-28.
Publishing place	International Society for Horticultural Science
Document type	Article
Note	Paper presented at the II International Jujube Symposium, held September 3 - 7, 2011, Xinzheng, Henan, China.
ISSN	0567-7572
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Successful Treatment of Primary Amoebic Meningoencephalitis Using a Novel Therapeutic Regimen Including Miltefosine and Voriconazole.

Martínez, Dalila Y / Bravo-Cossio, Fanny / Valdivia-Tapia, María Del Carmen / Carreazo, Nilton Yhuri / Cabello-Vilchez, Alfonso M

Acta parasitologica

2022 Volume 67, Issue 3, Page(s) 1421–1424

Abstract: The genus Naegleria consists of free-living amoebae widely distributed worldwide in soil and freshwater habitats. Primary amoebic meningoencephalitis (PAM) is an uncommon and most likely fatal disease. The incubation period is approximately 7 days. The ... ...

Abstract	The genus Naegleria consists of free-living amoebae widely distributed worldwide in soil and freshwater habitats. Primary amoebic meningoencephalitis (PAM) is an uncommon and most likely fatal disease. The incubation period is approximately 7 days. The first symptoms are headache, nasal congestion, fever, vomiting, stiff neck within 3-4 days after the first symptoms, confusion, abnormal behavior, seizures, loss of balance and body control, coma, and death. We describe the case of a child who presented with PAM due to Naegleria sp., fully recovered from the infection without apparent sequels after treatment with a regimen that included miltefosine and voriconazole.
MeSH term(s)	Amebiasis/diagnosis ; Amebiasis/drug therapy ; Central Nervous System Protozoal Infections/diagnosis ; Central Nervous System Protozoal Infections/drug therapy ; Child ; Humans ; Naegleria ; Naegleria fowleri ; Phosphorylcholine/analogs & derivatives ; Phosphorylcholine/therapeutic use ; Voriconazole/therapeutic use
Chemical Substances	Phosphorylcholine (107-73-3) ; miltefosine (53EY29W7EC) ; Voriconazole (JFU09I87TR)
Language	English
Publishing date	2022-07-21
Publishing country	Switzerland
Document type	Case Reports ; Journal Article
ZDB-ID	1132735-2
ISSN	1896-1851 ; 0065-1478 ; 1230-2821
ISSN (online)	1896-1851
ISSN	0065-1478 ; 1230-2821
DOI	10.1007/s11686-022-00591-9
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Book ; Online: Learning Strong Substitutes Demand via Queries

Goldberg, Paul W. / Lock, Edwin / Marmolejo-Cossío, Francisco

2020

Abstract: This paper addresses the computational challenges of learning strong substitutes demand when given access to a demand (or valuation) oracle. Strong substitutes demand generalises the well-studied gross substitutes demand to a multi-unit setting. Recent ... ...

Abstract	This paper addresses the computational challenges of learning strong substitutes demand when given access to a demand (or valuation) oracle. Strong substitutes demand generalises the well-studied gross substitutes demand to a multi-unit setting. Recent work by Baldwin and Klemperer shows that any such demand can be expressed in a natural way as a finite list of weighted bid vectors. A simplified version of this bidding language has been used by the Bank of England. Assuming access to a demand oracle, we provide an algorithm that computes the unique list of weighted bid vectors corresponding to a bidder's demand preferences. In the special case where their demand can be expressed using positive bids only, we have an efficient algorithm that learns this list in linear time. We also show super-polynomial lower bounds on the query complexity of computing the list of bids in the general case where bids may be positive and negative. Our algorithms constitute the first systematic approach for bidders to construct a bid list corresponding to non-trivial demand, allowing them to participate in `product-mix' auctions.
Keywords	Computer Science - Computer Science and Game Theory
Subject code	005
Publishing date	2020-05-04
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design

Fan, Zhou / Marmolejo-Cossío, Francisco / Altschuler, Ben / Sun, He / Wang, Xintong / Parkes, David C.

2022

Abstract: Decentralized exchanges (DEXs) provide a means for users to trade pairs of assets on-chain without the need for a trusted third party to effectuate a trade. Amongst these, constant function market maker DEXs such as Uniswap handle the most volume of ... ...

Abstract	Decentralized exchanges (DEXs) provide a means for users to trade pairs of assets on-chain without the need for a trusted third party to effectuate a trade. Amongst these, constant function market maker DEXs such as Uniswap handle the most volume of trades between ERC-20 tokens. With the introduction of Uniswap v3, liquidity providers can differentially allocate liquidity to trades that occur within specific price intervals. In this paper, we formalize the profit and loss that liquidity providers can earn when providing specific liquidity allocations to a v3 contract. We give a convex stochastic optimization problem for computing optimal liquidity allocation for a liquidity provider who holds a belief on how prices will evolve over time and use this to study the design question regarding how v3 contracts should partition the price space for permissible liquidity allocations. Our results show that making a greater diversity of price-space partitions available to a contract designer can simultaneously benefit both liquidity providers and traders. Comment: 44 pages, 15 figures
Keywords	Computer Science - Computer Science and Game Theory ; Computer Science - Computational Engineering ; Finance ; and Science
Subject code	650
Publishing date	2022-04-01
Publishing country	us
Document type	Book ; Online
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Book ; Online: Welfare-Maximizing Pooled Testing

Finster, Simon / Amador, Michelle González / Lock, Edwin / Marmolejo-Cossío, Francisco / Micha, Evi / Procaccia, Ariel D.

2022

Abstract: In an epidemic, how should an organization with limited testing resources safely return to in-person activities after a period of lockdown? We study this question in a setting where the population at hand is heterogeneous in both utility for in-person ... ...

Abstract	In an epidemic, how should an organization with limited testing resources safely return to in-person activities after a period of lockdown? We study this question in a setting where the population at hand is heterogeneous in both utility for in-person activities and probability of infection. In such a period of re-integration, tests can be used as a certificate of non-infection, whereby those in negative tests are permitted to return to in-person activities for a designated amount of time. Under the assumption that samples can be pooled, the question of how to allocate a limited testing budget in the population to maximize the aggregate utility (i.e. welfare) of negatively-tested individuals who return to in-person activities is non-trivial, with a large space of potential testing allocations. We show that non-overlapping testing allocations, which are both conceptually and (crucially) logistically more simple to implement, are approximately optimal, and we design an efficient greedy algorithm for finding non-overlapping testing allocations with approximately optimal welfare. In computational experiments, we highlight the efficacy and viability of our greedy algorithm in practice. To the best of our knowledge, we are also first to implement and provide causal evidence on the benefits of utility-weighted pooled testing in a real-world setting. Surprisingly, our pilot study at a higher education research institute in Mexico finds no evidence that performance and mental health outcomes of participants in our testing regime are worse than under the first-best counterfactual of full reopening without testing. Comment: Accepted at EC'23. (Exemplary track paper award)
Keywords	Computer Science - Computer Science and Game Theory
Subject code	360
Publishing date	2022-06-17
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging.

Cossío, Fernando / Schurz, Haiko / Engström, Mathias / Barck-Holst, Carl / Tsirikoglou, Apostolia / Lundström, Claes / Gustafsson, Håkan / Smith, Kevin / Zackrisson, Sophia / Strand, Fredrik

Journal of medical imaging (Bellingham, Wash.)

2023 Volume 10, Issue 6, Page(s) 61404

Abstract: Purpose: Multiple vendors are currently offering artificial intelligence (AI) computer-aided systems for triage detection, diagnosis, and risk prediction of breast cancer based on screening mammography. There is an imminent need to establish validation ... ...

Abstract	Purpose: Multiple vendors are currently offering artificial intelligence (AI) computer-aided systems for triage detection, diagnosis, and risk prediction of breast cancer based on screening mammography. There is an imminent need to establish validation platforms that enable fair and transparent testing of these systems against external data. Approach: We developed validation of artificial intelligence for breast imaging (VAI-B), a platform for independent validation of AI algorithms in breast imaging. The platform is a hybrid solution, with one part implemented in the cloud and another in an on-premises environment at Karolinska Institute. Cloud services provide the flexibility of scaling the computing power during inference time, while secure on-premises clinical data storage preserves their privacy. A MongoDB database and a python package were developed to store and manage the data on-premises. VAI-B requires four data components: radiological images, AI inferences, radiologist assessments, and cancer outcomes. Results: To pilot test VAI-B, we defined a case-control population based on 8080 patients diagnosed with breast cancer and 36,339 healthy women based on the Swedish national quality registry for breast cancer. Images and radiological assessments from more than 100,000 mammography examinations were extracted from hospitals in three regions of Sweden. The images were processed by AI systems from three vendors in a virtual private cloud to produce abnormality scores related to signs of cancer in the images. A total of 105,706 examinations have been processed and stored in the database. Conclusions: We have created a platform that will allow downstream evaluation of AI systems for breast cancer detection, which enables faster development cycles for participating vendors and safer AI adoption for participating hospitals. The platform was designed to be scalable and ready to be expanded should a new vendor want to evaluate their system or should a new hospital wish to obtain an evaluation of different AI systems on their images.
Language	English
Publishing date	2023-03-20
Publishing country	United States
Document type	Journal Article
ISSN	2329-4302
ISSN	2329-4302
DOI	10.1117/1.JMI.10.6.061404
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Article ; Online: Concentrating Pooled COVID-19 Patient Lysates to Improve Reverse Transcription Quantitative PCR Sensitivity and Efficiency.

Sanghani, Harshmeena R / Nawrot, Dorota A / Marmolejo-Cossío, Francisco / Taylor, John M / Craft, Judith / Kalimeris, Elizabeth / Andersson, Monique I / Vasudevan, Sridhar R

Clinical chemistry

2021 Volume 67, Issue 5, Page(s) 797–798

MeSH term(s)	COVID-19/diagnosis ; COVID-19 Nucleic Acid Testing/methods ; Humans ; Nasopharynx/virology ; RNA, Viral/analysis ; Reverse Transcriptase Polymerase Chain Reaction/methods ; SARS-CoV-2/chemistry ; Sensitivity and Specificity ; Specimen Handling/methods
Chemical Substances	RNA, Viral
Language	English
Publishing date	2021-04-22
Publishing country	England
Document type	Letter
ZDB-ID	80102-1
ISSN	1530-8561 ; 0009-9147
ISSN (online)	1530-8561
ISSN	0009-9147
DOI	10.1093/clinchem/hvab035
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Book ; Online: Strategic Liquidity Provision in Uniswap v3

Fan, Zhou / Marmolejo-Cossío, Francisco / Moroz, Daniel J. / Neuder, Michael / Rao, Rithvik / Parkes, David C.

2021

Abstract: Uniswap v3 is the largest decentralized exchange for digital currencies. A novelty of its design is that it allows a liquidity provider (LP) to allocate liquidity to one or more closed intervals of the price of an asset instead of the full range of ... ...

Abstract	Uniswap v3 is the largest decentralized exchange for digital currencies. A novelty of its design is that it allows a liquidity provider (LP) to allocate liquidity to one or more closed intervals of the price of an asset instead of the full range of possible prices. An LP earns fee rewards proportional to the amount of its liquidity allocation when prices move in this interval. This induces the problem of {\em strategic liquidity provision}: smaller intervals result in higher concentration of liquidity and correspondingly larger fees when the price remains in the interval, but with higher risk as prices may exit the interval leaving the LP with no fee rewards. Although reallocating liquidity to new intervals can mitigate this loss, it comes at a cost, as LPs must expend gas fees to do so. We formalize the dynamic liquidity provision problem and focus on a general class of strategies for which we provide a neural network-based optimization framework for maximizing LP earnings. We model a single LP that faces an exogenous sequence of price changes that arise from arbitrage and non-arbitrage trades in the decentralized exchange. We present experimental results informed by historical price data that demonstrate large improvements in LP earnings over existing allocation strategy baselines. Moreover we provide insight into qualitative differences in optimal LP behaviour in different economic environments.
Keywords	Computer Science - Cryptography and Security ; Computer Science - Computer Science and Game Theory
Subject code	303
Publishing date	2021-06-22
Publishing country	us
Document type	Book ; Online
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Book ; Online: Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19

Benavides-Vázquez, Luis / Guzmán-Gutiérrez, Héctor Alonso / Jonnerby, Jakob / Lazos, Philip / Lock, Edwin / Marmolejo-Cossío, Francisco / Rajgopal, Ninad / Tello-Ayala, José Roberto

2023

Abstract: This work sets out a testing and containment framework developed for reopening universities in Mexico following the lockdown due to COVID-19. We treat diagnostic testing as a resource allocation problem and develop a testing allocation mechanism and ... ...

Abstract	This work sets out a testing and containment framework developed for reopening universities in Mexico following the lockdown due to COVID-19. We treat diagnostic testing as a resource allocation problem and develop a testing allocation mechanism and practical web application to assist educational institutions in making the most of limited testing resources. In addition to the technical results and tools, we also provide a reflection on our current experience of running a pilot of our framework within the Instituto Tecnol\'ogico y de Estudios Superiores de Monterrey (ITESM), a leading private university in Mexico, as well as on our broader experience bridging research with academic policy in the Mexican context.
Keywords	Computer Science - Computer Science and Game Theory ; Computer Science - Computers and Society ; Mathematics - Optimization and Control ; Physics - Physics and Society
Publishing date	2023-06-27
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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