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  1. Article ; Online: Cell-based drug delivery harnesses inflammatory and autoimmune responses in neurodegeneration.

    Pozo, David

    Journal of molecular medicine (Berlin, Germany)

    2021  Volume 99, Issue 5, Page(s) 673–674

    MeSH term(s) Animals ; Autoimmunity ; Drug Delivery Systems/methods ; Encephalomyelitis, Autoimmune, Experimental/drug therapy ; Encephalomyelitis, Autoimmune, Experimental/immunology ; Humans ; Indoles/administration & dosage ; Maleimides/administration & dosage ; Mesenchymal Stem Cells ; Mice ; Multiple Sclerosis/drug therapy ; Multiple Sclerosis/immunology ; Transplantation, Heterologous/methods ; Treatment Outcome
    Chemical Substances Indoles ; Maleimides ; Ro 31-8425 (131848-97-0)
    Language English
    Publishing date 2021-03-08
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1223802-8
    ISSN 1432-1440 ; 0946-2716
    ISSN (online) 1432-1440
    ISSN 0946-2716
    DOI 10.1007/s00109-021-02059-1
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  2. Book ; Online: Linear Battery Models for Power Systems Analysis

    Pozo, David

    2022  

    Abstract: Mathematical models are just models. The desire to describe battery energy storage system (BESS) operation using computationally tractable model formulations has motivated a long-standing discussion in both the scientific and industrial communities. ... ...

    Abstract Mathematical models are just models. The desire to describe battery energy storage system (BESS) operation using computationally tractable model formulations has motivated a long-standing discussion in both the scientific and industrial communities. Linear BESS models are the most widely used so far. However, finding suitable linear BESS models has been controversial. This paper focuses on the description of linear BESS models. Four linear BESS formulations are presented, among the most popularly used. A new formulation is also proposed. The 5 BESS models are tested in 100 random BESS and 1.450 random samples of daily profiles of renewable generation. Two classical problems of power systems, namely, the set-point tracking problem and the transmission expansion planning problem, are selected for numerical analysis. Five thousand simulations are used to draw a better interpretation of each linear formulation presented and showcase specific challenges of BESS models. Practical recommendations are provided based on the findings.

    Comment: Power Systems Computation Conference (PSCC) 2022
    Keywords Electrical Engineering and Systems Science - Systems and Control ; Mathematics - Optimization and Control
    Subject code 621
    Publishing date 2022-04-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Editorial: Nanoparticle-Mediated Signaling Rewiring and Reprogramming of Immune Responses.

    Quintana, Francisco J / Pozo, David

    Frontiers in immunology

    2022  Volume 13, Page(s) 927733

    MeSH term(s) Biological Phenomena ; Immunity ; Nanoparticles ; Signal Transduction
    Language English
    Publishing date 2022-05-12
    Publishing country Switzerland
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2022.927733
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  4. Article: Editorial: SARS-CoV-2 in neurodegenerative diseases.

    Aranda-Abreu, Gonzalo Emiliano / Carreón-Rodriguez, Alfonso / Zuñiga, Sonia / Pozo, David

    Frontiers in neuroscience

    2024  Volume 18, Page(s) 1360234

    Language English
    Publishing date 2024-01-16
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2024.1360234
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  5. Article ; Online: Functionally unicuspid aortic valve in an adult: Case report and literature review.

    Abraham, Andrew / Charles, Kipson / Pozo, David / Bishev, Daniel / Pondicherry-Harish, Roja

    Current problems in cardiology

    2023  Volume 49, Issue 2, Page(s) 102223

    Abstract: Aortic stenosis is one of the most prevalent cardiac valvular diseases throughout the world and has a significant impact on quality of life. While there are several etiologies, we will be discussing the case of a male in his mid-thirties of southeast ... ...

    Abstract Aortic stenosis is one of the most prevalent cardiac valvular diseases throughout the world and has a significant impact on quality of life. While there are several etiologies, we will be discussing the case of a male in his mid-thirties of southeast Asian descent with a bicuspid aortic valve which was found to be functionally unicuspid and complicated by aortic dilation. Following a comprehensive review of literature, it appears this subset of aortic stenosis is not commonly encountered. In addition to presenting this fascinating case, we will review the epidemiology, classification and management of aortic stenosis. Furthermore, we will examine the latest evidence-based literature on bicuspid aortic valve and unicuspid aortic valve and discuss interventions and diagnostic tools that may improve clinical prognosis.
    MeSH term(s) Adult ; Male ; Humans ; Bicuspid Aortic Valve Disease/complications ; Aortic Valve/diagnostic imaging ; Aortic Valve/surgery ; Quality of Life ; Heart Valve Diseases/diagnosis ; Aortic Valve Stenosis/diagnosis ; Aortic Valve Stenosis/etiology ; Aortic Valve Stenosis/surgery
    Language English
    Publishing date 2023-11-30
    Publishing country Netherlands
    Document type Case Reports ; Journal Article ; Review
    ZDB-ID 441230-8
    ISSN 1535-6280 ; 0146-2806
    ISSN (online) 1535-6280
    ISSN 0146-2806
    DOI 10.1016/j.cpcardiol.2023.102223
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    In stock of ZB MED Cologne/Königswinter

    Se 505: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  6. Book ; Online: Priority Lists for Power System Investments

    Murzakhanov, Ilgiz / Pozo, David

    Locating Phasor Measurement Units

    2021  

    Abstract: Power systems incrementally and continuously upgrade their components, such as transmission lines, reactive capacitors, or generating units. Decision-making tools often support the selection of the best set of components to upgrade. Optimization models ... ...

    Abstract Power systems incrementally and continuously upgrade their components, such as transmission lines, reactive capacitors, or generating units. Decision-making tools often support the selection of the best set of components to upgrade. Optimization models are often used to support decision making at a given point in time. After certain time intervals, re-optimization is performed to find new components to add. In this paper, we propose a decision-making framework for incrementally updating power system components. This is an alternative approach to the classical sequential re-optimization decision making for an investment problem with modeled budget constraints. Our approach provides a priority list as a solution with a list of new components to upgrade. We show that i) our framework is consistent with the evolution of power system upgrades, and ii) in particular circumstances, both frameworks provide the same solution if the problem satisfies submodularity property. We have selected the problem of phasor measurement unit localization and compared the solution with the classical sequential re-optimization framework. For this particular problem, we show that the two approaches provide close results, while only our proposed algorithm is applicable in practice. The cases of 14 and 118 IEEE buses are used to illustrate the proposed methodology.
    Keywords Electrical Engineering and Systems Science - Systems and Control
    Subject code 006
    Publishing date 2021-04-11
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Assessing the value of energy storage systems for distribution grid applications

    Hoosh, Sahar Moghimian / Ouerdane, Henni / Terzija, Vladimir / Pozo, David

    2023  

    Abstract: We analyze the potential benefits that energy storage systems (ESS) can bring to distribution networks in terms of cost, stability and flexibility. We propose an optimization model for the optimal sizing, siting, and operation of storage systems in ... ...

    Abstract We analyze the potential benefits that energy storage systems (ESS) can bring to distribution networks in terms of cost, stability and flexibility. We propose an optimization model for the optimal sizing, siting, and operation of storage systems in distribution grids. A DistFlow formulation is used for modeling the AC power flow. The ESS model is based on a generic formulation that captures the charging and discharging modes' complementarity. The resulting optimization model is stated as a mixed-integer quadratically constrained program (MIQCP) problem. The optimization model is assessed on the modified 33-bus IEEE network, which includes renewable energy resources and ESS. The obtained results show that ESS can offer various important benefits such as overall cost reduction, energy arbitrage, voltage regulation, and congestion management in distribution grids. These findings highlight the significance of utilizing ESS technologies to provide aggregated value through various grid services, extending beyond energy arbitrage alone.
    Keywords Electrical Engineering and Systems Science - Systems and Control
    Publishing date 2023-07-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: A review on recent advances in scenario aggregation methods for power system analysis

    Sangadiev, Aiusha / Gonzalez-Castellanos, Alvaro / Pozo, David

    2022  

    Abstract: Worldwide commitments to net zero greenhouse emissions have accelerated investments in renewable energy resources. The requirements for operating and planning power systems are becoming stringent because of the need to take into account the uncertainty ... ...

    Abstract Worldwide commitments to net zero greenhouse emissions have accelerated investments in renewable energy resources. The requirements for operating and planning power systems are becoming stringent because of the need to take into account the uncertainty associated with renewable generation. Several modeling frameworks that consider the inherent uncertainty in the operation and planning of the power system have been extensively studied. Stochastic optimization has been the most popular approach among these frameworks due to its intuitive representation, especially when formulated using discrete probabilistic scenarios to represent the random variables. Although many scenarios representing all possible uncertain operating conditions would be needed to accurate evaluate stochastic operation and planning models, the size of the scenario set impacts computational complexity, posing a significant tradeoff between uncertainty detail representation and computational tractability. During the last decade, a large body of research has focused on developing new scenario aggregation methods to derive reduced scenario sets that show properties similar to the original scenario set while decreasing computational burden. This review provides an up-to-date, comprehensive classification and analysis of the literature related to scenario aggregation methods for addressing power system optimization problems. First, we present a general framework and the aggregation methodologies. Then, the main studies related to temporal and spatial scenario aggregation are described, followed by a bibliometric analysis of the main publication sources, authors, and application problems. Finally, we provide a numerical analysis and discuss 16 aggregation methods for the transmission expansion planning problem. Finally, recommendations, opportunities, and conclusions are discussed.
    Keywords Mathematics - Optimization and Control ; Electrical Engineering and Systems Science - Systems and Control
    Subject code 510
    Publishing date 2022-07-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Construction of Multi-period TSO-DSO Flexibility Regions

    Lopez, Luis / Gonzalez-Castellanos, Alvaro / Pozo, David

    2022  

    Abstract: Active distribution networks (ADN) have grown considerably in recent years. Distributed energy resources present in ADNs can provide flexibility to the power system through TSO/DSO coordination, i.e., at the interface node (feeder) between the ... ...

    Abstract Active distribution networks (ADN) have grown considerably in recent years. Distributed energy resources present in ADNs can provide flexibility to the power system through TSO/DSO coordination, i.e., at the interface node (feeder) between the transmission and distribution network. This paper addresses the issue of calculating multi-period flexibility regions of the ADNs. Flexibility regions are tightly dependent between periods and conditioned on the actual deployment of such flexibilities in real-time. The existing state-of-the-art has not provided a robust methodology for building multi-period flexible regions. We present a new mathematical framework based on a non-iterative formulation that considers the multi-period flexibility boundary points in a single optimization problem. The proposed methodology is evaluated on IEEE standard test networks and compared with the most widely used methods in the literature.
    Keywords Electrical Engineering and Systems Science - Systems and Control
    Subject code 006
    Publishing date 2022-07-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: Electric End-User Consumer Profit Maximization

    Alahyari, Arman / Pozo, David

    An Online Approach

    2020  

    Abstract: The fast growth of communication technology within the concept of smart grids can provide data and control signals from/to all consumers in an online fashion. This could foster more participation for end-user customers. These types of customers do not ... ...

    Abstract The fast growth of communication technology within the concept of smart grids can provide data and control signals from/to all consumers in an online fashion. This could foster more participation for end-user customers. These types of customers do not necessarily have powerful prediction tools or capability of storing a large amount of historical data. Besides, the relevant information is not always known a priori, while decisions need to be made fast within a very limited time. These limitations and also the novel structure of decision making, which comes from the necessities to make the decision very fast with a limited amount of information, implies a requirement for investigating a novel framework: online decision-making. In this study, we propose an online constrained convex optimization framework for operating responsive end-user electrical customers in real-time. Within this online-decision-making framework, algorithms are proposed for two cases: no prediction data is available at the moment of decision-making, and a limited number of forward time periods predictions of uncertain parameters are available. The simulation results exhibit the capability of the model to achieve considerable profits in an easy-to-implement procedure. Comprehensive numerical test cases are performed for comparison with existent alternative models.
    Keywords Electrical Engineering and Systems Science - Systems and Control ; Mathematics - Optimization and Control
    Subject code 006
    Publishing date 2020-09-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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