27 research outputs found
A Fast track finder for triggering applications in high-energy physics
No full textWe describe the Monte Carlo simulation results of a trigger processor for high energy physics experiments. This processor performs on-line charged-track pattern recognition at full detector resolution. The simulation results are based on the measured performances of existing prototypes of the two building blocks of the trigger system
The tree-search processor for real time track pattern recognition
No full textWe present a specialized processor dedicated to on-line track pattern recognition in high energy physics experiments. We describe the processor hardware architecture and the achieved performances. We also give some Monte Carlo results on more realistic working conditions
H 2 production based on RDG and assisted by a weak grid: System topology, operation and control
No full textThe Renewable Distributed Generation (RDG), such as production of electricity in the vicinity of the load, it is particularly beneficial when the distribution network is "weak" facing specific demands, as in hydrogen production systems connected to rural electrification networks. In these areas, the wind resource may be suitable for this type of generation. This work proposes the topology and the operation and control strategy for a hydrogen production station, "assisted" by a weak AC grid and "powered" by a variable speed wind turbine based on a three-phase double stator induction machine. The wind energy conversion is optimized through adequate control of the generator. The electrolyzer current is regulated for the maximum utilization of the generated power. The high-speed power fluctuations by turbulence are compensated through a controlled energy storage system based on a flywheel. In addition, the system configuration, its operation mode and control, and simulation results are presented.Fil: Camocardi, Pablo Andrés. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Toccaceli, Graciela Mabel. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Battaiotto, P. E.. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; ArgentinaFil: Cendoya, Marcelo Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentin
Development of a good quality honey biscuit filling: Optimization, sensory properties and shelf life analysis
No full textThe main ingredients of biscuit fillings are sugar and lipids. Any modification of their formulation is a gastronomical challenge as it may affect the properties and the acceptability of the product. The objective of the present work was to develop a new filling formulation by partially replacing refined sugar and lipids with honey. In order to obtain a good quality cream, different formulations were evaluated. For the first time, the effects of each component were detailed studied by specific statistical tools and the predictive models of the texture characteristics were developed. The statistical analysis showed that honey significantly increased the antioxidant content in the biscuit fillings (P ≤ 0.05) and played a major role in their adhesiveness, cohesiveness, firmness and elasticity suggesting that it significantly contributed to structure of the cream (P ≤ 0.05). The predictive models were successfully applied to optimize a new cream formulation with honey addition and low levels of lipids and sugar. This formulation presented an excellent sensory acceptability and a high purchase intention. Besides, the shelf life evaluation indicated that the product was secure after 6 months at 20 °C and the texture and the antioxidants amount remained stable (P > 0.05). In conclusion, new biscuits fillings similar to the ones commercially available were developed. Besides, results showed that this food matrix would be an excellent alternative to preserve bioactive compounds such as antioxidants.Fil: Patrignani, Mariela. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; ArgentinaFil: Battaiotto, Laura Lorena. Universidad Nacional de La Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Conforti, Paula Andrea. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentin
Role of Social Media for Medical Oncologists and Medical Oncology Fellows (SMARTY): An Italian Cross-Sectional Study
No full textPURPOSE The use of social media is transforming physician-patient communication, mainly in the field of medical oncology. The pattern of social media use by medical oncologists is poorly studied. Therefore, we developed a survey to understand the preferences, experiences, opinions, and expectations of Italian medical oncologists and oncology fellows regarding the use of social media in cancer medicine to identify the different profiles of social media users. MATERIALS AND METHODS This multicentric, cross-sectional, observational study included oncologists or oncology fellows from Italy, who were surveyed from July to December 2023 on their use of social media. Data were analyzed through K-means clustering, and the Hartigan-Wong algorithm was applied to identify different profiles of social media users among the participants. RESULTS Of the 245 participants who accepted the invitation, 116 completed the entire survey and were included in the cluster analysis. Three profiles of social media users were identified through clustering: the highly social, the social skeptic, and the moderately social, accounting for 31%, 31%, and 38% of the participants, respectively. In general, older age (P 5 .0001), being a specialized oncologist (P 5 .003), and a higher mean time spent on social media (P 5 .0001) were associated with a greater consideration of the professional use of social media. CONCLUSION The use of social media among medical oncologists and oncology fellows represents a spectrum ranging from the social skeptic user to the highly social. Age, professional status (specialist or fellow), and frequency on social media use were associated with different patterns, opinions, and behaviors related to social media use
Role of Social Media for Medical Oncologists and Medical Oncology Fellows (SMARTY): An Italian Cross-Sectional Study
No full textPURPOSEThe use of social media is transforming physician-patient communication, mainly in the field of medical oncology. The pattern of social media use by medical oncologists is poorly studied. Therefore, we developed a survey to understand the preferences, experiences, opinions, and expectations of Italian medical oncologists and oncology fellows regarding the use of social media in cancer medicine to identify the different profiles of social media users.MATERIALS AND METHODSThis multicentric, cross-sectional, observational study included oncologists or oncology fellows from Italy, who were surveyed from July to December 2023 on their use of social media. Data were analyzed through K-means clustering, and the Hartigan-Wong algorithm was applied to identify different profiles of social media users among the participants.RESULTSOf the 245 participants who accepted the invitation, 116 completed the entire survey and were included in the cluster analysis. Three profiles of social media users were identified through clustering: the highly social, the social skeptic, and the moderately social, accounting for 31%, 31%, and 38% of the participants, respectively. In general, older age (P = .0001), being a specialized oncologist (P = .003), and a higher mean time spent on social media (P = .0001) were associated with a greater consideration of the professional use of social media.CONCLUSIONThe use of social media among medical oncologists and oncology fellows represents a spectrum ranging from the social skeptic user to the highly social. Age, professional status (specialist or fellow), and frequency on social media use were associated with different patterns, opinions, and behaviors related to social media use
