Deep Inelastic Scattering Data and the Problem of Saturation in Small-x Physics

We investigate the role of unitarization effects in virtual photon-proton (\gamma^*p) interactions at small x. The q\bar{q}-fluctuation of the initial photon is separated into a small distance and a large distance component and a model for the unitarization of each component is proposed. The Born approximation for the small size component is calculated using QCD perturbation theory. Reggeon diagram technique is used in order to obtain a self-consistent scheme for both total \gamma^*p cross section and diffractive production. The model gives a good description of HERA data in the small-x region, with a single Pomeron of intercept 1.2.Comment: 27 pages, 8 postscript figure

Initial Condition for QGP Evolution from NEXUS

We recently proposed a new approach to high energy nuclear scattering, which treats the initial stage of heavy ion collisions in a sophisticated way. We are able to calculate macroscopic quantities like energy density and velocity flow at the end of this initial stage, after the two nuclei having penetrated each other. In other words, we provide the initial conditions for a macroscopic treatment of the second stage of the collision. We address in particular the question of how to incorporate the soft component properly. We find almost perfect "Bjorken scaling": the rapidity coincides with the space-time rapidity, whereas the transverse flow is practically zero. The distribution of the energy density in the transverse plane shows typically a very "bumpy" structure.Comment: 17 pages, 24 figure

A new application of Internet of Things and Cloud Services in Analytical Chemistry: Determination of bicarbonate in water

[EN] In a constantly evolving world, new technologies such as Internet of Things (IoT) and cloud-based services offer great opportunities in many fields. In this paper we propose a new approach to the development of smart sensors using IoT and cloud computing, which open new interesting possibilities in analytical chemistry. According to IoT philosophy, these new sensors are able to integrate the generated data on the existing IoT platforms, so that information may be used whenever needed. Furthermore, the utilization of these technologies permits one to obtain sensors with significantly enhanced features using the information available in the cloud. To validate our new approach, a bicarbonate IoT-based smart sensor has been developed. A classical CO2 ion selective electrode (ISE) utilizes the pH information retrieved from the cloud and then provides an indirect measurement of bicarbonate concentration, which is offered to the cloud. The experimental data obtained are compared to those yielded by three other classical ISEs, with satisfactory results being achieved in most instances. Additionally, this methodology leads to lower-consumption, low-cost bicarbonate sensors capable of being employed within an IoT application, for instance in the continuous monitoring of HCO3- in rivers. Most importantly, this innovative application field of IoT and cloud approaches can be clearly perceived as an indicator for future developments over the short-term.This research was funded by the Spanish Ministerio de Economia y Competitividad, grant number DPI2016-80303-C2-1-P.Capella Hernández, JV.; Bonastre Pina, AM.; Ors Carot, R.; Peris Tortajada, M. (2019). A new application of Internet of Things and Cloud Services in Analytical Chemistry: Determination of bicarbonate in water. Sensors. 19(24):1-13. https://doi.org/10.3390/s19245528S1131924Perry, C. T., Salter, M. A., Harborne, A. R., Crowley, S. F., Jelks, H. L., & Wilson, R. W. (2011). Fish as major carbonate mud producers and missing components of the tropical carbonate factory. Proceedings of the National Academy of Sciences, 108(10), 3865-3869. doi:10.1073/pnas.1015895108Pandolfi, J. M., Connolly, S. R., Marshall, D. J., & Cohen, A. L. (2011). Projecting Coral Reef Futures Under Global Warming and Ocean Acidification. Science, 333(6041), 418-422. doi:10.1126/science.1204794Jaquet, J.-M., Nirel, P., & Martignier, A. (2013). Preliminary investigations on picoplankton-related precipitation of alkaline-earth metal carbonates in meso-oligotrophic lake Geneva (Switzerland). Journal of Limnology, 72(3), 50. doi:10.4081/jlimnol.2013.e50Lewis, C. N., Brown, K. A., Edwards, L. A., Cooper, G., & Findlay, H. S. (2013). Sensitivity to ocean acidification parallels natural pCO2 gradients experienced by Arctic copepods under winter sea ice. Proceedings of the National Academy of Sciences, 110(51), E4960-E4967. doi:10.1073/pnas.1315162110Kaloo, M. A., Sunder Raman, R., & Sankar, J. (2016). Novel structurally tuned DAMN receptor for «in situ» diagnosis of bicarbonate in environmental waters. The Analyst, 141(8), 2367-2370. doi:10.1039/c6an00218hBotta, A., de Donato, W., Persico, V., & Pescapé, A. (2016). Integration of Cloud computing and Internet of Things: A survey. Future Generation Computer Systems, 56, 684-700. doi:10.1016/j.future.2015.09.021Capella, J. V., Bonastre, A., Ors, R., & Peris, M. (2014). A step forward in the in-line river monitoring of nitrate by means of a wireless sensor network. Sensors and Actuators B: Chemical, 195, 396-403. doi:10.1016/j.snb.2014.01.039Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H. (2019). A Survey on Internet of Things and Cloud Computing for Healthcare. Electronics, 8(7), 768. doi:10.3390/electronics8070768Lopez-Barbosa, N., Gamarra, J. D., & Osma, J. F. (2016). The future point-of-care detection of disease and its data capture and handling. Analytical and Bioanalytical Chemistry, 408(11), 2827-2837. doi:10.1007/s00216-015-9249-2Kassal, P., Steinberg, I. M., & Steinberg, M. D. (2013). Wireless smart tag with potentiometric input for ultra low-power chemical sensing. Sensors and Actuators B: Chemical, 184, 254-259. doi:10.1016/j.snb.2013.04.049Piyare, R., & Lee, S. R. (2013). Towards Internet of Things (IOTS): Integration of Wireless Sensor Network to Cloud Services for Data Collection and Sharing. International journal of Computer Networks & Communications, 5(5), 59-72. doi:10.5121/ijcnc.2013.5505Carminati, M., Mezzera, L., Ferrari, G., Sampietro, M., Turolla, A., Di Mauro, M., & Antonelli, M. (2018). A Smart Sensing Node for Pervasive Water Quality Monitoring with Anti-Fouling Self-Diagnostics. 2018 IEEE International Symposium on Circuits and Systems (ISCAS). doi:10.1109/iscas.2018.8351833Borrego, C., Ginja, J., Coutinho, M., Ribeiro, C., Karatzas, K., Sioumis, T., … Penza, M. (2018). Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise – Part II. Atmospheric Environment, 193, 127-142. doi:10.1016/j.atmosenv.2018.08.028Gervasi, O., Murgante, B., Misra, S., Gavrilova, M. L., Rocha, A. M. A. C., Torre, C., … Apduhan, B. O. (Eds.). (2015). Computational Science and Its Applications -- ICCSA 2015. Lecture Notes in Computer Science. doi:10.1007/978-3-319-21407-8LIU, Y., LIANG, Y., XUE, L., LIU, R., TAO, J., ZHOU, D., … HU, W. (2019). Polystyrene-coated Interdigitated Microelectrode Array to Detect Free Chlorine towards IoT Applications. Analytical Sciences, 35(5), 505-509. doi:10.2116/analsci.18p460Ping, H., Wang, J., Ma, Z., & Du, Y. (2018). Mini-review of application of IoT technology in monitoring agricultural products quality and safety. International Journal of Agricultural and Biological Engineering, 11(5), 35-45. doi:10.25165/j.ijabe.20181105.3092Alreshaid, A. T., Hester, J. G., Su, W., Fang, Y., & Tentzeris, M. M. (2018). Review—Ink-Jet Printed Wireless Liquid and Gas Sensors for IoT, SmartAg and Smart City Applications. Journal of The Electrochemical Society, 165(10), B407-B413. doi:10.1149/2.0341810jesDjelouat, H., Amira, A., & Bensaali, F. (2018). Compressive Sensing-Based IoT Applications: A Review. Journal of Sensor and Actuator Networks, 7(4), 45. doi:10.3390/jsan7040045Kassal, P., Steinberg, M. D., & Steinberg, I. M. (2018). Wireless chemical sensors and biosensors: A review. Sensors and Actuators B: Chemical, 266, 228-245. doi:10.1016/j.snb.2018.03.074Alahi, M. E. E., Xie, L., Mukhopadhyay, S., & Burkitt, L. (2017). A Temperature Compensated Smart Nitrate-Sensor for Agricultural Industry. IEEE Transactions on Industrial Electronics, 64(9), 7333-7341. doi:10.1109/tie.2017.2696508FIWARE Foundationhttps://www.fiware.org/Xie, X., & Bakker, E. (2013). Non-Severinghaus Potentiometric Dissolved CO2 Sensor with Improved Characteristics. Analytical Chemistry, 85(3), 1332-1336. doi:10.1021/ac303534

Dynamical and thermal descriptions in parton distribution functions

We suggest a duality between the standard (dynamical) and statistical distributions of partons in the nucleons. The temperature parameter entering into the statistical form for the quark distributions is estimated. It is found that this effective temperature is practically the same for the dependence on longitudinal and transverse momenta and, in turn, it is close to the freeze-out temperature in high energy heavy-ion collisions.Comment: 8 pages, 1 figure. Talk given at the 6th International Workshop on Critical Point and Onset of Deconfinement (CPOD), JINR, Dubna, 23-29 August 201

Presentación

Desde hace 25 años existe una fuerte polémica en torno a la existencia y características del derecho humano al medio ambiente. Las razones de la polémica son, por lo menos, dos: en primer lugar, la reclamación de este derecho surge en oposición al grave deterioro que ha sufrido el medio ambiente, que llega a amenazar la calidad de vida, y a veces, la misma supervivencia de los seres humanos; en segundo lugar, porque el reconocimiento de tal derecho trae consigo una verdadera revolución, ya que no se ajusta a las categorías de derechos humanos viegentes hasta el momento. De hecho, fue a propósito de este derecho y de otros de características semejantes cuando se empezó a hablar de derechos de la tercera generación, como derechos que no encajaban en la categoría de los derechos garantistas (derechos de la primera generación) ni en la de derechos de crédito (derechos de la segunda generación)

Quark-Gluon Plasma: Status of Heavy Ion Physics

Lattice quantum chromodynamics (QCD), defined on a discrete space time lattice, leads to a spectacular non-perturbative prediction of a new state of matter, called quark-gluon plasma (QGP), at sufficiently high temperatures or equivalently large energy densities. The experimental programs of CERN, Geneva and BNL, New York of relativistic heavy ion collisions are expected to produce such energy densities, thereby providing us a chance to test the above prediction. After a brief introduction of the necessary theoretical concepts, I will present a critical review of the experimental results already obtained by the various experiments in order to examine whether QGP has already been observed by them.Comment: 11 Pages, LaTeX, Plenary talk given at 6th Workshop in High Energy Physics Phenomenology (WHEPP 6), Chennai (Madras), India, 3-15 Jan 2000 To appear in Pramana, Journal of Physic

Screening and Anti-Screening Effects in J/psi Production on Nuclei

The nuclear effects in J/psi hadro- and electroproduction on nuclei are considered in framework of reggeon approach. It is shown that screening regime which holds for electroproduction at x_F > 0.7 and for hadroproduction at x_F > -(0.3-0.4) is changed with anti-screening regime for smaller x_F values.Comment: 6 pages, 6 figures. Small changes in wordin

Calculation Of Secondary Particles In Atmosphere And Hadronic Interactions

Calculation of secondary particles produced by the interaction of cosmic rays with the nuclei of Earth's atmosphere pose important requirements to particle production models. Here we summarize the important features of hadronic simulations, stressing the importance of the so called ``microscopic'' approach, making explicit reference to the case of the FLUKA code. Some benchmarks are also presented.Comment: 10 pages, 4 figures. Extended version of report given at the IInd Workshop on Matter and anti-Matter, Trento, Oct. 200

Historical Building Monitoring Using an Energy-Efficient Scalable Wireless Sensor Network Architecture

We present a set of novel low power wireless sensor nodes designed for monitoring wooden masterpieces and historical buildings, in order to perform an early detection of pests. Although our previous star-based system configuration has been in operation for more than 13 years, it does not scale well for sensorization of large buildings or when deploying hundreds of nodes. In this paper we demonstrate the feasibility of a cluster-based dynamic-tree hierarchical Wireless Sensor Network (WSN) architecture where realistic assumptions of radio frequency data transmission are applied to cluster construction, and a mix of heterogeneous nodes are used to minimize economic cost of the whole system and maximize power saving of the leaf nodes. Simulation results show that the specialization of a fraction of the nodes by providing better antennas and some energy harvesting techniques can dramatically extend the life of the entire WSN and reduce the cost of the whole system. A demonstration of the proposed architecture with a new routing protocol and applied to termite pest detection has been implemented on a set of new nodes and should last for about 10 years, but it provides better scalability, reliability and deployment properties