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Letteratura scientifica selezionata sul tema "AI-2"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 13 febbraio 2022

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Articoli di riviste sul tema "AI-2"

Nitta, Hajime Yoshinoand Katsumi. "AI and Law (2)". Journal of Advanced Computational Intelligence and Intelligent Informatics 2, n. 1 (20 febbraio 1998): 1. http://dx.doi.org/10.20965/jaciii.1998.p0001.

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In the last issue (Vol.1, No.2), we introduced the Legal Expert System (LES) project led by Hajime Yoshino of Meiji Gakuin University, presenting six papers on the LES project. Those papers were mainly related to higher order reasoning systems such as ase-based reasoning, abductive and inductive logic programming, nonmonotonic reasoning, and analogical reasoning. The objective of the LES project was to develop a legal expert system effective for use by lawyers, so the project covers inference mechanisms, analysis of legal knowledge, and user interfaces. In this second special issue on the LES project, we present five more papers, mainly related to the analysis of legal knowledge, legal knowledge representation language, and legal reasoning system user interfaces. Hajime Yoshino analyzes the logical structure of contract law. To develop a knowledge base for the United Nations Convention on Contracts for the International Sale of Goods (CISG), he proposes a clear logical model of the contract law system, which treats relations between events and legal status such as rights and obligations. Yoshino demonstrates that legal metarules are effective in constructing deductive legal reasoning systems, and are appropriate from the viewpoint of jurisprudence. Seiichiro Sakurai discusses the logical features of the legal knowledge representation language, CPF, developed by Hajime Yoshino. CPF is a logic programming language that enhances the representation of complex data structures. CPF is a convenient tool for representing legal knowledge, yet lawyers often attempt to describe nonexecutable forms of CPF rules.Sakurai introduces a way to construct an executable knowledge base from lawyers' CPF rules. Masato Shibasaki and Katsumi Nitta introduce a new framework to formalize nonmonotonic reasoning with dynamic priorities. The several frameworks proposed thus far to model relationships among arguments do not treat complex arguments, composed of strict rules and default rules. They show that the new framework represents such relationships and analyze these relationships for this framework and others. Takashi Miyata and Yuji Matsumoto introduce LES natural language generation using a user interface for lawyers rather than computer scientists. They describe a sentence generation system that translates logical forms provided from an inference engine into natural-language sentences, and present the unification grammar, generation algorithm and graphical debugging tool. To develop a knowledge base, the lawyers of the LES project analyze and represents the relationships between requirements (actions or events) and consequences (legal status) of legal rules in the form of logical flowcharts. Once the appropriateness of a flowchart is confirmed, they convert it to a CPF rule in their knowledge base. Koji Miyagi, Motoki Miura and Jiro Tanaka developed a flowchart editor that makes legal flowcharting easier. To make it easier to decide where to locate flowchart components and draw linens between the components, the editor possesses several algorithms.

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Eaton, Eric, e Amy McGovern. "Welcome to AI Matters, volume 2, issue 2". AI Matters 2, n. 2 (11 gennaio 2016): 3. http://dx.doi.org/10.1145/2847557.2847558.

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McGovern, Amy, e Iolanda Leite. "Welcome to AI matters 5(2)". AI Matters 5, n. 2 (5 agosto 2019): 3. http://dx.doi.org/10.1145/3340470.3340471.

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Leite, Iolanda, e Anuj Karpatne. "Welcome to AI matters 6(2)". AI Matters 6, n. 2 (4 gennaio 2021): 3–4. http://dx.doi.org/10.1145/3430581.3430582.

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Pereira, Catarina S., Jessica A. Thompson e Karina B. Xavier. "AI-2-mediated signalling in bacteria". FEMS Microbiology Reviews 37, n. 2 (marzo 2013): 156–81. http://dx.doi.org/10.1111/j.1574-6976.2012.00345.x.

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McGovern, Amy. "Welcome to AI matters 4(2)". AI Matters 4, n. 2 (30 luglio 2018): 3–4. http://dx.doi.org/10.1145/3236644.3236645.

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Wagstaff, Kiri. "Welcome to AI Matters Issue 2". AI Matters 1, n. 2 (19 dicembre 2014): 3. http://dx.doi.org/10.1145/2685328.2685329.

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Esuli, Andrea, Fabrizio Sebastiani e Ahmed Abasi. "AI and Opinion Mining, Part 2". IEEE Intelligent Systems 25, n. 4 (luglio 2010): 72–79. http://dx.doi.org/10.1109/mis.2010.94.

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Leite, Iolanda, e Anuj Karpatne. "Welcome to AI Matters 7(2)". AI Matters 7, n. 2 (giugno 2021): 3–4. http://dx.doi.org/10.1145/3478369.3478370.

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Welcome to the second issue of this year's AI Matters Newsletter. We start with a report on upcoming SIGAI Events by Dilini Samarasinghe and Conference reports by Louise Dennis, our conference coordination officer. In our regular Education column, Carolyn Rosé discusses the role of AI in education in a post-pandemic reality. We then bring you our regular Policy column, where Larry Medsker covers interesting and timely discussions on AI policy, for example whether governments should play a role in reducing algorithmic bias. This issue closes with an article contribution from Li Dong, one of the runner-ups in the latest AAIS/SIGAI dissertation award, on the use neural models to build natural language interfaces.

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Pereira, Catarina S., J. Randall McAuley, Michiko E. Taga, Karina B. Xavier e Stephen T. Miller. "Sinorhizobium meliloti, a bacterium lacking the autoinducer-2 (AI-2) synthase, responds to AI-2 supplied by other bacteria". Molecular Microbiology 70, n. 5 (dicembre 2008): 1223–35. http://dx.doi.org/10.1111/j.1365-2958.2008.06477.x.

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Tesi sul tema "AI-2"

Wang, Liang. "Autoinducer-2 (AI-2) mediated quorum sensing in Escherichia coli". College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/2157.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.
Thesis research directed by: Cell Biology & Molecular Genetics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Carter, Kirk. "An AI performance benchmark for the ncube 2". Honors in the Major Thesis, University of Central Florida, 1993. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/110.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.
Bachelors
Engineering
Electrical Engineering

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Kim, Sun Ho. "Role of AI-2 in oral biofilm formation using microfluidic devices". [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2665.

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GEORGEAUD, VALERIE. "Identification d'un domaine de liaison de l'apolipoproteine ai aux cellules d'hepatome humain hepg 2". Toulouse 3, 2000. http://www.theses.fr/2000TOU30100.

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Les lipoproteines de haute densite (hdl) participent a l'homeostasie du cholesterol cellulaire en assurant le processus de son transport retour des tissus peripheriques vers le foie ou il peut etre elimine par les voies biliaires. C'est notamment grace a cette fonction d'epuration du cholesterol que l'on attribue aux hdl un role protecteur vis-a-vis des maladies cardiovasculaires. Si l'interaction specifique des hdl avec le tissu hepatique est communement admise, l'identification d'un domaine proteique de liaison au sein des hdl reste sujette a controverse. Nous avons precedemment decrit l'existence de deux familles de sites de liaison, de haute et basse affinite, pour les hdl3 sur une lignee cellulaire d'hepatocarcinome humain (hepg2), et l'implication de l'apolipoproteine ai (apo ai), proteine majoritaire des hdl, dans cette interaction. Afin d'identifier un domaine de liaison, les cellules hepg2 ont ete utilisees comme matrice d'affinite dans des etudes d'association dissociation de fragments trypsiques d'hdl3, permettant ainsi d'isoler et de caracteriser un peptide couvrant la region 62-77 de l'apo ai. Les parametres de liaison du peptide synthetique correspondant traduisent une interaction de haute affinite comparable a celle de l'apo ai libre. Les experiences de competitions croisees entre ce peptide et l'apo ai confirment qu'ils partagent les memes sites de liaison sur les cellules hepg2. Par ailleurs ces sites ne semblent pas impliquer le recepteur sr-bi (scavenger receptor class b type 1) recemment identifie, puisque aucune liaison specifique de ce peptide n'est observee sur des cellules epitheliales surexprimant ce recepteur. Cependant, le maintien apparent d'une liaison aux cellules hepg2 de l'apo ai deletee de la region 62-77 ne permet pas de conclure a l'unicite de ce domaine, et suggere l'existence d'un domaine de liaison redondant au sein de l'apolipoproteine. La presence de sequences consensus au sein de l'apo ai permet d'etayer cette hypothese.

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Stambrau, Nina. "Der LuxP/AI-2- und LuxQ-abhängige Signaltransduktionsweg des Quorum sensing-Systems von V. harveyi". Diss., lmu, 2008. http://nbn-resolving.de/urn:nbn:de:bvb:19-103233.

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Yang, Jung Woo. "Enhanced bioethanol production by Zymomonas mobilis in response to the quorum sensing molecules AI-2". Thesis, Durham University, 2011. http://etheses.dur.ac.uk/3231/.

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The depletion of non-renewable energy resources, the environmental concern over the burning of fossil fuels, and the recent price rises and instability in the international oil markets have all combined to stimulate interest in the use of fermentation processes for the production of alternative bio-fuels. As a fuel, ethanol is mainly of interest as a petrol additive, or substrate, because ethanol-blended fuel produces a cleaner, more complete combustion that reduces greenhouse gas and toxic emissions. As a consequence of the surge in demand for biofuels, ethanol producing microorganisms, such as the bacterium Zymomonas mobilis, are of considerable interest due to their potential for industrial-scale bioethanol production. Although bioethanol has traditionally been produced in batch fermentation with the yeast Saccharomyces cerevisiae, there are advantages in using Z. mobilis as an alternative for bioethanol production. In comparison to yeast, Z. mobilis grows and ferments rapidly, without the requirement for the controlled supply of oxygen during fermentation, and has a significantly higher ethanol product rate and yield. Most importantly, it has a high tolerance for ethanol. Bacteria communicate with one another using chemical signalling molecules. In general, chemical communication involves producing, releasing, detecting, and responding to small hormone-like molecules termed autoinducers (AI). This process allows bacteria to monitor the environment for other bacteria and to alter behaviour on a population-wide scale in response to changes in the number and/or species present in a community. Currently, there are three well-defined classes of molecules that serve as the paradigms for chemical signaling in bacteria: oligopeptides, AI-1 (AHLs) and AI-2. Oligopeptide signalling is the predominant signal used by Gram-positive bacteria, and AHLs (acyl-homoserine lactones) are for species-specific communication in Gram-negative bacteria. Finally, the LuxS/AI-2 pathway is generally considered as involved in interspecies communication because the luxS gene, which is responsible for AI-2 production, is found in various bacteria. Many physiological functions in bacteria such as toxin, virulence factor and bacteriocin production, biofilm formation, bioluminescence, type III secretion, have been shown to be under the control of AI-2 quorum sensing. In Z. mobilis, in vitro synthesized and in vivo produced AI-2 treatment enhanced ethanol production by this bacterium up to a maximum of 50% in comparison with untreated control cells. This appears attributable to the overproduction of the glycolytic enzymes, enolase and pyruvate carboxylase, which are only rarely found in bacteria and the key enzymes for ethanol production. From the perspective of interspecies communication, enhanced ethanol production in Z. mobilis, under the control of the AI-2 signalling molecules, could represent a good example of a bacterium that does not produce AI-2, but responds to it. Another interesting finding is that two extracellular proteins from Z. mobilis, ZMO0994 and ZMO0134 which were originally induced by AI-2, were secreted when they were cloned, transformed and expressed in E. coli strain BL21 DE3; since it is generally accepted that nonpathogenic strains of E. coli, particularly derivatives of K12, do not secrete proteins under routine growth conditions. Presumably, these proteins possess signal sequences for secretion that could be used to provide a strategy for their use as carriers of recombinant proteins produced in E. coli K12. The merit of this system is that there would be few contaminant cytoplasmic proteins, and could possibly solve problems in protein purification, such as protease activity, protein misfolding and inclusion body formation. Finally, the discovery that the metabolic pathway leading to ethanol production is regulated by AI-2 is of considerable biotechnological importance because it will provide a basis for further engineering of strains for more efficient ethanol production. Indeed, engineering Z. mobilis by introducing the genes that encode Pfs and LuxS to produce AI-2, would be a means to stimulate increased ethanol production.

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Cazorla, Hector Villena. "Multiple Potential Fields in Quake 2 Multiplayer". Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5805.

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This thesis may be interesting for developers within video game industry, people who design the behaviour of agent systems, or those interested in complex robotic control systems. What potential fields give to the world of AI is a new way to implement the behaviour of the agents, giving weights to all the elements in the world, so the agent can decide if making some action deserves the cost, the combination of several potential fields is what makes this technique so efficient. An agent was created applying this technique. Implemented as a client application, the agent used the Quake protocol to connect and communicate with the server. Some tests were run on the model concerning the different functionalities a gamer agent should implement. The model turned out to be a success in a virtual environment like quake 2. Taking care of all the entities in the map and environmental factors, the agent is able to keep his state in balance, move to the most interesting positions and be able to face combat situations. The implementation is clean and mathematical oriented. Using algorithms as the heart of the model, we make the code lightweight in comparison with old bot models.
The purpose of this thesis was to test an artificial intelligence technique called "Multiple Potential Fields" in the programming of an agent playing in a multiplayer game as Quake 2. The results stated that the technique is really interesting to apply in an virtual real-time environment, having some clear advantages compared to other techniques.
hectorvcaz@hotmail.com

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Viro, Sebastian. "Using statistics and game knowledge to create better bots in Dota 2". Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43442.

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Multiplayer online battle arena (MOBA) games and games in general offer developers opportunities to design and test AI to further push research within the area. MOBA is a genre that has seen an increase in popularity during recent years alongside a rapidly growing esports scene. The game's main purpose is ultimately to be enjoyed and played by human players, who often come up with and are encouraged to create their own strategies in order to beat the game or win out over their opponents. This thesis will explore how mimicking human behavior in AI and using statistics from human players can be beneficial to AI design. The AI will be developed in a framework similar to that used by the Conference of Games for their Dota 2 5v5 AI competition. Three different strategies will be created, each of which will mimic some aspect of human behaviour, and then tested against the built-in AI in Dota 2. All the developed AI’s managed to win with varying results. The results showed some support for the notion that human gameplay and statistics can be beneficial to AI design. There are, however, difficulties with the complexity of the game that is Dota 2.

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Soni, Kamleshkumar Arvindkumar. "AI-2-like acttivity mediated E. coli O157:H7 survival and virulence gene expression in the presence of ground beef extracts". Texas A&M University, 2003. http://hdl.handle.net/1969.1/3967.

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Cell-to-cell communication, termed quorum sensing, mediated by AI-2 like activity, has been reported to regulate the expression of a variety of genes in E. coli O157:H7. A previous study in our laboratory has shown that foods can contain compounds that can interfere with AI-2 signaling. The underlying hypothesis of our studies is that the autoinducer molecules such as AI-2 are involved in the virulence and survival of enteric bacterial pathogens on food and food ingredients. The influence of AI-2 like activity on the survival and expression of virulence genes (hha and yadK) in E.coli O157:H7 was studied when the organism was stored in different types of ground beef extracts such as: cooked, uncooked, and autoclaved. The survival was observed at refrigeration temperature, while change in gene expression was studied using real-time PCR. Higher survival was observed in the cell exposed to cell free supernatant (CFS) containing AI-2 like molecules, compared to the one which was exposed to heat degraded AI-2 like molecules. The survival of cells was higher when exposed to cooked ground beef extracts compared to uncooked and autoclaved ground beef extracts. Similarly, higher gene expressions of both hha and yadK genes were observed in cells that were exposed to cooked beef extract samples as compared to samples that wereuncooked or autoclaved. About a 2 fold higher gene expression for both hha and yadK gene was observed when cells were subjected to cooked ground beef extracts in the presence of AI-2 like molecules compared to the ones exposed to uncooked ground beef extracts in the presence of AI-2 like molecules. Likewise, 3-fold higher gene expression was observed for cells exposed to cooked ground beef extracts compare to autoclaved ground beef extracts in the presence of AI-2 like molecules. The results suggest that the survival and virulence of enteric bacterial pathogens such as E.coli O157:H7 can be influenced by the interaction of food components and autoinducers such as AI-2, that are involved in bacterial cell communications.

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Fernandes, Meg da Silva 1984. "Enterococcus spp. e Bacillus cereus isolados do processamento de ricota: patogenicidade, formação de biofilmes multiespécie e detecção de autoindutores AI-2 = Enterococcus spp. and Bacillus cereus isolated from ricotta processing: pathogenicity, multi-species biofilm formation and detection of the autoinducer AI-2". [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/255699.

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Orientadores: Arnaldo Yoshiteru Kuaye, Dirce Yorika Kabuki
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia de Alimentos
Made available in DSpace on 2018-08-26T05:00:36Z (GMT). No. of bitstreams: 1 Fernandes_MegdaSilva_D.pdf: 2553051 bytes, checksum: ee968bf858cc0b427d8f6b79c37338b7 (MD5) Previous issue date: 2014
Resumo: Enterococcus faecium e Enterococcus faecalis são espécies de patógenos oportunistas que infectam principalmente imunocomprometidos. Estas espécies são encontradas em produtos lácteos e possuem capacidade de formar biofilme em superfícies que contatam com os alimentos. A sua remoção é muito dependente dos procedimentos de higienização. Os Enterococcus spp. utilizam o sistema de comunicação célula-célula (quorum sensing) para a formação de biofilmes. A formação de biofilme mono e multiespécie, a eficácia dos procedimentos de higienização no controle destes biofilmes e a produção de moléculas sinalizadoras de quorum sensing por cepas de E. faecalis, E. faecium, Bacillus cereus e Listeria monocytogenes foram avaliadas. Os ensaios foram realizados com cupons de aço inoxidável e variando-se a temperatura (7, 25 e 39 °C) e o tempo (0, 1, 2, 4, 6 e 8 dias). Após 1 e 8 dias de contato nas temperaturas de 25 e 39 °C, os cupons foram submetidos a diferentes processos de higienização. Os sanitizantes testados foram: hipoclorito de sódio (0,2%), ácido peracético (0,2%), quaternário de amônio (3,0%) e biguanida (1,0%). A detecção das moléculas sinalizadoras de quorum sensing AI-2 foi realizada através da avaliação do gene luxS e de ensaio biológico de bioluminescência. Nenhum dos micro-organismos avaliados foi capaz de formar biofilmes a 7 ?C. Enterococcus sp. foram capazes de formar biofilmes, com contagens acima de 8 log ufc/cm2 para as temperaturas de 25 e 39 °C após 8 dias de contato. Em cultivo multiespécie, a temperatura 25 °C favoreceu o desenvolvimento do biofilme de L. monocytogenes (contagens acima de 6 log ufc/cm2). Por sua vez, a 39 °C observou-se o efeito negativo no desenvolvimento do biofilme de L. monocytogenes em cultivo misto, com redução significativa nas contagens ao longo do tempo (valores abaixo de 0,4 log ufc/cm2). As contagens de B. cereus, para ambas as temperaturas em diferentes tempos de exposição situaram-se abaixo de 4,1 log ufc/cm2. Em contrapartida, a contagem de esporos de B. cereus evoluiu ao longo do tempo, atingindo contagens em torno de 4,6 log ufc/cm2. A limpeza com tensoativo aniônico complementada por outra etapa (limpeza ácida, limpeza ácida + sanitização ou sanitização) foi capaz de remover os biofilmes mono e multiespécie em todas as condições testadas. O ácido peracético foi o sanitizante mais eficiente e a biguanida o menos eficiente. Todas as cepas de Enterococcus spp. e B. cereus apresentaram o gene luxS e induziram o fenômeno de bioluminescência em Vibrio harveyi BB170, indicando a presença de autoindutores AI-2
Abstract: Enterococcus faecium and Enteroccus faecalis are opportunistic pathogens species that infect mainly immunocompromised individuals. These species are found in dairy products and are capable of forming biofilms on surfaces that contact with food. Their removal is highly dependent on the cleaning procedures. It is known that enterococci use the cell-cell communication (quorum sensing) to biofilm formation. The formation of mono- and multi-species biofilm, the effectiveness of sanitization procedures to control these biofilms and the production of signaling molecules of quorum sensing (AI-2) by strains of E. faecalis, E. faecium, Bacillus cereus and Listeria monocytogenes were evaluated in this work. The biofilms were grown on stainless steel coupons at various incubation temperatures (7, 25 and 39 °C) and times (0, 1, 2, 4, 6 and 8 days). After 1 and 8 days of contact at 25 and 39 °C, the coupons were subjected to different sanitation procedures: anionic tensioactive cleaning, acid-anionic tensioactive cleaning, sanitization, anionic tensioactive cleaning + sanitization, acidic- anionic tensioactive cleaning + sanitization and chlorinated alkaline cleaning. The sanitizers tested were: sodium hypochlorite (0.2%), peracetic acid (0.2%), quaternary ammonium (3%), and biguanide (1%). The detection of AI-2 molecules was performed by evaluating the luxS gene and biological bioluminescence assay. None of the microorganisms evaluated was able to form biofilms at 7 °C. Enterococcus sp. were able to form biofilms, with counts above 8 log CFU/cm2 for the temperatures of 25 and 39 °C after 8 days of contact. In multi-species culture, the temperature of 25 °C favored the development of L. monocytogenes biofilms (counts above 6 log CFU/cm2). On the other hand, at 39 °C it was observed a negative effect in the development of L. monocytogenes biofilms in mixed culture, with a significant reduction in counts over time (values below 0.4 log CFU/cm2). The counts of B. cereus, for both temperatures at different exposure times were below 4.1 log CFU/cm2. In contrast, the spore counts of B. cereus evolved over time, reaching scores of around 4.6 log CFU/cm2. The anionic tensioactive cleaning complemented by an aditional step (acid cleaning, acid cleaning + sanitization or sanitization) was able to remove mono- and multi-species biofilms in all tested conditions. The peracetic acid was the most effective sanitizer and the less efficient was biguanide. All strains of Enterococcus spp. and B. cereus showed the luxS gene and induced the phenomenon of bioluminescence in Vibrio harveyi BB170, indicating the presence of AI-2 autoinducers
Doutorado
Tecnologia de Alimentos
Doutora em Tecnologia de Alimentos

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Libri sul tema "AI-2"

Yi, Qing. Ai 1 ai 2 lie fang lin. Hong Kong: Xing He, 1999.

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1945-, Ye Yunyun, e Dai Guohui, a cura di. Ai zeng 2, 28. Taibei Shi: Yuan liu chu ban shi ye gu fen you xian gong si, 1992.

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Yi, Yao. Mo wang de ai ji 2/2. Taiwan: Geng Lin, 2002.

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Howe, J. A. M. AI-2 vision notes 1987/88. Edinburgh: Department of Artificial Intelligence,University of Edinburgh, 1988.

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Yi, Yao. Mo wang de ai ji 1/2. Taiwan: Geng Lin, 2002.

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Yan, Qin. Ai qing di er hao (= Love issue no.2). Hong Kong: Qin & Yuan, 1994.

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Ai ni liang zhou ban: Two 1/2 weeks. Beijing: Zuo jia chu ban she, 2004.

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Yaxuan, Luo, a cura di. Ai qing, bu zhi 1/2: Lucy in the Sky. Taibei Shi: Chun tian chu ban guo ji wen hua you xian gong si, 2010.

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Agouridēs, Savvas. Ho Christianismos enanti Ioudaismou kai Hellēnismou kata to 2. ai. m. Ch. Athēna: Hellēnika Grammata, 1997.

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Mario, Negri. Note di commento ai testi di Pilo: 1. La geografia 2. Le razioni. Roma: Il Calamo, 1999.

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Stanley, Kenneth O., e Joel Lehman. "Case Study 2: Objectives and the Quest for AI". In Why Greatness Cannot Be Planned, 119–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15524-1_11.

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Sivakumar, Kirthiram K., Palmy R. Jesudhasan e Suresh D. Pillai. "Detection of Autoinducer (AI-2)-Like Activity in Food Samples". In Methods in Molecular Biology, 71–82. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-971-0_6.

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Reichberg, Gregory M., e Henrik Syse. "Applying AI on the Battlefield: The Ethical Debates". In Robotics, AI, and Humanity, 147–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_12.

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AbstractBecause lethal autonomous weapon systems (LAWS) are designed to make targeting decisions without the direct intervention of human agents (who are “out of the killing loop”), considerable debate has arisen on whether this mode of autonomous targeting should be deemed morally permissible. Surveying the contours of this debate, the authors first present a prominent ethical argument that has been advanced in favor of LAWS, namely, that AI-directed robotic combatants have an advantage over their human counterparts, insofar as the former operate solely on the basis of rational assessment, while the latter are often swayed by emotions that conduce to poor judgment. Several counter arguments are then presented, inter alia, (1) that emotions have a positive influence on moral judgment and are indispensable to it; (2) that it is a violation of human dignity to be killed by a machine, as opposed to being killed by a human being; and (3) that the honor of the military profession hinges on maintaining an equality of risk between combatants, an equality that would be removed if one side delegates its fighting to robots. The chapter concludes with a reflection on the moral challenges posed by human-AI teaming in battlefield settings, and how virtue ethics provides a valuable framework for addressing these challenges.

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Rajamani, Sathish, e Richard Sayre. "Biosensors for the Detection and Quantification of AI-2 Class Quorum-Sensing Compounds". In Methods in Molecular Biology, 73–88. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7309-5_6.

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Timan, Tjerk, e Zoltan Mann. "Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies". In The Elements of Big Data Value, 153–75. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68176-0_7.

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AbstractThis chapter addresses privacy challenges that stem particularly from working with big data. Several classification schemes of such challenges are discussed. The chapter continues by classifying the technological solutions as proposed by current state-of-the-art research projects. Three trends are distinguished: (1) putting the end user of data services back as the central focal point of Privacy-Preserving Technologies, (2) the digitisation and automation of privacy policies in and for big data services and (3) developing secure methods of multi-party computation and analytics, allowing both trusted and non-trusted partners to work together with big data while simultaneously preserving privacy. The chapter ends with three main recommendations: (1) the development of regulatory sandboxes; (2) continued support for research, innovation and deployment of Privacy-Preserving Technologies; and (3) support and contribution to the formation of technical standards for preserving privacy. The findings and recommendations of this chapter in particular demonstrate the role of Privacy-Preserving Technologies as an especially important case of data technologies towards data-driven AI. Privacy-Preserving Technologies constitute an essential element of the AI Innovation Ecosystem Enablers (Data for AI).

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Jiang, Tianyu, Peng Zhu, Lupei Du e Minyong Li. "Identification of AI-2 Quorum Sensing Inhibitors in Vibrio harveyi Through Structure-Based Virtual Screening". In Methods in Molecular Biology, 353–62. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7309-5_26.

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Millington, Ian. "Game AI". In AI for Games, 21–37. Third edition. | Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2019]: CRC Press, 2019. http://dx.doi.org/10.1201/9781351053303-2.

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Aulinas, Josep, e Hanky Sjafrie. "AI for Autonomous Driving". In AI for Cars, 19–32. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003099512-2-2.

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Calvo, Rafael A., Dorian Peters, Karina Vold e Richard M. Ryan. "Supporting Human Autonomy in AI Systems: A Framework for Ethical Enquiry". In Philosophical Studies Series, 31–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50585-1_2.

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Abstract Autonomy has been central to moral and political philosophy for millennia, and has been positioned as a critical aspect of both justice and wellbeing. Research in psychology supports this position, providing empirical evidence that autonomy is critical to motivation, personal growth and psychological wellness. Responsible AI will require an understanding of, and ability to effectively design for, human autonomy (rather than just machine autonomy) if it is to genuinely benefit humanity. Yet the effects on human autonomy of digital experiences are neither straightforward nor consistent, and are complicated by commercial interests and tensions around compulsive overuse. This multi-layered reality requires an analysis that is itself multidimensional and that takes into account human experience at various levels of resolution. We borrow from HCI and psychological research to apply a model (“METUX”) that identifies six distinct spheres of technology experience. We demonstrate the value of the model for understanding human autonomy in a technology ethics context at multiple levels by applying it to the real-world case study of an AI-enhanced video recommender system. In the process we argue for the following three claims: (1) There are autonomy-related consequences to algorithms representing the interests of third parties, and they are not impartial and rational extensions of the self, as is often perceived; (2) Designing for autonomy is an ethical imperative critical to the future design of responsible AI; and (3) Autonomy-support must be analysed from at least six spheres of experience in order to appropriately capture contradictory and downstream effects.

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Rajamani, Sathish, e Richard Sayre. "FRET-Based Biosensors for the Detection and Quantification of AI-2 Class of Quorum Sensing Compounds". In Methods in Molecular Biology, 31–46. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-971-0_3.

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Atti di convegni sul tema "AI-2"

Ittoo, Ashwin. "Keynote Talk #2 AI & LAW". In 2018 5th NAFOSTED Conference on Information and Computer Science (NICS). IEEE, 2018. http://dx.doi.org/10.1109/nics.2018.8606840.

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Veeramachaneni, Kalyan, Ignacio Arnaldo, Vamsi Korrapati, Constantinos Bassias e Ke Li. "AI^2: Training a Big Data Machine to Defend". In 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS). IEEE, 2016. http://dx.doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.79.

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Elster, Anne C. "Plenary Talk 2 : Parallel Computing and AI: Impact and Opportunities". In 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC). IEEE, 2021. http://dx.doi.org/10.1109/miucc52538.2021.9447606.

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Pasero, Eros G. A. "Keynote 2 : Medicine 4.0: AI and IoT, The New Revolution". In 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA). IEEE, 2021. http://dx.doi.org/10.1109/icsima50015.2021.9525931.

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Supriyadi, Muhammad Daryl Bey Sandy, Supeno Mardi Susiki Nugroho e Mochamad Hariadi. "Fuzzy Coordinator based AI for Dynamic Difficulty Adjustment in Starcraft 2". In 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT). IEEE, 2019. http://dx.doi.org/10.1109/icaiit.2019.8834540.

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D'Alterio, Pasquale, Jonathan M. Garibaldi e Robert I. John. "Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI)". In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177671.

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Chimatapu, Ravikiran, Hani Hagras, Mathias Kern e Gilbert Owusu. "Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI". In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177817.

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Al-Rubaie, Mohammad. "Session details: Session 2: Detection & Defense on AI/ML Models". In ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3428356.

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Rozman, Josip, Hani Hagras, Javier Andreu-Perez, Damien Clarke, Beate Muller e Steve Fitz. "A Type-2 Fuzzy Logic Based Explainable AI Approach for the Easy Calibration of AI models in IoT Environments". In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2021. http://dx.doi.org/10.1109/fuzz45933.2021.9494522.

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Campbell, Nick. "Using Multimodal Information to Support Spoken Dialogue Interaction between Humans and Robots without Intrusive Language processing". In FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/ai-mhri.2018-2.

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Rapporti di organizzazioni sul tema "AI-2"

Segelke, B., S. Hok, V. Lao, M. Corzett e E. Garcia. Regulation of Yersina pestis Virulence by AI-2 Mediated Quorum Sensing. Office of Scientific and Technical Information (OSTI), marzo 2010. http://dx.doi.org/10.2172/978400.

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Constantine, Monica M., e Jacob W. Ulvila. Testing and Evaluating C3I Systems That Employ AI. Volume 2. Compendium of Lessons Learned from Testing AI Systems in the Army. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1991. http://dx.doi.org/10.21236/ada266359.

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