Proceedings

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EISSN : 25043900
Current Publisher: MDPI (10.3390)
Total articles ≅ 3,260
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Leila Panahi, Mohammad Reza Naimi-Jamal
Published: 23 August 2019
by MDPI
Proceedings, Volume 9; doi:10.3390/ecsoc-22-05698

Abstract:Multicomponent reactions have attracted significant attention since.
Mohamad Cheayb, Sébastien Poncet, Mylène Marin-Gallego, Mohand Tazerout
Published: 23 August 2019
by MDPI
Proceedings, Volume 23; doi:10.3390/proceedings2019023005

Abstract:Recently, major improvement on compressed air energy storage technology has been made by using the heat of compression for heating energy or using it to preheat the compressed air in the expansion phase and by demonstrating its ability to produce cooling energy. Thus, the trigenerative compressed air energy storage has been introduced. In this paper, we introduce a configuration of trigenerative compressed air energy storage system giving the preference to the electric energy production. The study then focuses on undertaking an optimization study via a parametric analysis considering the mutual effects of parameters. This analysis is applied to a micro-scale application including the existing technological aspects. The parametric study results applied on the hot temperature of the thermal energy storage indicate the possibility to find an optimal solution as a trade-off between system performances and other parameters reflecting its cost. On the contrary, the selection of the maximal storage pressure cannot be achieved by finding a compromise between energy density and system efficiency. A complete study of other design parameters will be addressed in a future publication.
Daria Minta, Piotr Wiench, Grażyna Gryglewicz
Published: 23 August 2019
by MDPI
Proceedings, Volume 15; doi:10.3390/proceedings2019015041

Abstract:The reduced graphene oxide (rGO) and nitrogen-reduced graphene oxide (N-rGO) were electrochemically coated with gold nanoparticles and compared as the modifier of a glassy carbon electrode (GCE) for dopamine (DA) electrochemical sensors. The rGO and N-rGO were prepared by reduction of graphene oxide (GO) under hydrothermal conditions. Urea was applied as a nitrogen dopant. The modified GCEs were tested as working electrodes in the electrochemical DA detection in the presence of ascorbic and uric acids. Initially, the working parameters of sensors in a pure dopamine solution were determined. The GCE/N-rGO-Au electrode exhibited a lower limit of detection compared with the GCE/rGO-Au (385 vs. 700 nM). Both sensors had a wide linear range of 1-100 µM and high sensitivity of 0.78 µA/µM for GCE/N-rGO-Au and 1.78 µA/µM for GCE/rGO-Au. The presence of ascorbic and uric acids in the solution resulted in a decrease in the intensity of DA oxidation peak, maintaining acceptable limit of detection. This study showed that the surface modification of the graphene materials with gold nanoparticles allows to obtain satisfactory working parameters of DA sensors. The GCE/N-rGO-Au demonstrated the superior performance in DA sensing due to a homogeneous distribution of gold nanoparticles on the surface of the N-doped graphene material.
Nicolò Spagnolo, Alessandro Lumino, Emanuele Polino, Adil Rab, Nathan Wiebe, Fabio Sciarrino
Published: 23 August 2019
by MDPI
Proceedings, Volume 12; doi:10.3390/proceedings2019012028

Abstract:Phase estimation represents a significant example to test the application of quantum theory for enhanced measurements of unknown physical parameters. Several recipes have been developed, allowing to define strategies to reach the ultimate bounds in the asymptotic limit of a large number of trials. However, in certain applications it is crucial to reach such bound when only a small number of probes is employed. Here, we discuss an asymptotically optimal, machine learning based, adaptive single-photon phase estimation protocol that allows us to reach the standard quantum limit when a very limited number of photons is employed.
Beata Morak-Młodawska, Krystian Pluta, Małgorzata Jeleń, Małgorzata Latocha, Dariusz Kuśmierz
Published: 21 August 2019
by MDPI
Proceedings, Volume 22; doi:10.3390/proceedings2019022085

Abstract:Cancer has now become a global problem and been ranked as the top leading cause of death worldwide after cardiovascular disease
Johannes Vrijdag, Anvesh Jallapally, An De Decker, Koen Janssen, Filipe Elvas, Steven Staelens, Ingrid De Meester, Koen Augustyns, Anne-Marie Lambeir, Pieter Van Der Veken
Published: 20 August 2019
by MDPI
Proceedings, Volume 22; doi:10.3390/proceedings2019022084

Abstract:Fibroblast activation protein (FAP) is a type II transmembrane serine protease that belongs to the dipeptidyl peptidase (DPP) family.
Zack Carson, Kent Yagi
Published: 20 August 2019
by MDPI
Proceedings, Volume 17; doi:10.3390/proceedings2019017005

Abstract:Gravitational wave observations offer unique opportunities to probe gravity in the strong and dynamical regime, which was difficult to access previously. We here review two theory-agnostic ways to carry out tests of general relativity with gravitational waves, namely (i) parameterized waveform tests and (ii) consistency tests between the inspiral and merger-ringdown portions. For each method, we explain the formalism, followed by results from existing events, and finally we discuss future prospects with upgraded detectors, including the possibility of using multi-band gravitational-wave observations with ground-based and space-borne interferometers. We show that such future observations have the potential to improve upon current bounds on theories beyond general relativity by many orders of magnitude. We conclude by listing several open questions that remain to be addressed.
Ruth Mourik, Sylvia Breukers, Lfm Summeren, A. C. Wieczorek
Published: 20 August 2019
by MDPI
Proceedings, Volume 20; doi:10.3390/proceedings2019020025

Abstract:Based on a European project entitled “Community-based Virtual Power Plants’ (Interreg 2017–2010) this paper discusses opportunities for community energy projects—focusing on the example of community-based virtual power plants. Using a business model canvas as heuristic and the Dutch demonstration case as an example, we show how a business model following a community logic is unfeasible in practice. The current institutional context compels community based cVPP initiatives to partially abandon such community-based values, in order to be able to survive in the energy services market. It is concluded that more attention is needed for institutional change since the current institutional bias that hinders cVPP projects is also hindering a more inclusive energy transition.
Caroline Delehedde, Mathieu Chocry, Sophie Thétiot-Laurent, Françoise Garrouste, Marcel Culcasi, Hervé Kovacic, Sylvia Pietri
Published: 19 August 2019
by MDPI
Proceedings, Volume 22; doi:10.3390/proceedings2019022083

Abstract:Glioblastoma is the most common cerebral tumor in adults. The median survival of glioblastoma patients is 12 months.
Sormin Sultana, Andreas K. Athientis, Radu G. Zmeureanu
Published: 19 August 2019
by MDPI
Proceedings, Volume 23; doi:10.3390/proceedings2019023003

Abstract:In Canada both residential and commercial buildings often require intensive ventilation and air-conditioning to maintain occupant’s thermal comfort and indoor air quality during the operational hours in cooling season. One way to reduce the cooling load consumption is utilizing mixed-mode cooling approach for space conditioning through natural ventilation. This paper presents the potential of control strategies for motorized window opening schedules to reduce the cooling load for a library building that was designed to be net-zero in terms of annual energy consumption (Canada’s first institutional net-zero energy building in Varennes (near Montreal), Québec, Canada). Even though the building is located in cold climate zone, the performance study shows that the building is cooling dominated i.e., it has more cooling load than heating load. To achieve net-zero energy building status, the potential of mixed-mode cooling approach (natural ventilation combined with mechanical ventilation) during the cooling season needs to be investigated. Preliminary simulation results show that the mixed-mode cooling could achieve 10 to 20% energy savings based on hybrid ventilation (HV) with fixed schedules, whereas 65% savings based on HV with variable schedules. This paper also shows 47% reduction of cooling load could be achieved by applying shading control strategies over without shading control strategies.