Mathematical modeling of local perfusion in large distensible microvascular networks

Microvessels -blood vessels with diameter less than 200 microns- form large, intricate networks organized into arterioles, capillaries and venules. In these networks, the distribution of flow and pressure drop is a highly interlaced function of single vessel resistances and mutual vessel interactions. In this paper we propose a mathematical and computational model to study the behavior of microcirculatory networks subjected to different conditions. The network geometry is composed of a graph of connected straight cylinders, each one representing a vessel. The blood flow and pressure drop across the single vessel, further split into smaller elements, are related through a generalized Ohm's law featuring a conductivity parameter, function of the vessel cross section area and geometry, which undergo deformations under pressure loads. The membrane theory is used to describe the deformation of vessel lumina, tailored to the structure of thick-walled arterioles and thin-walled venules. In addition, since venules can possibly experience negative transmural pressures, a buckling model is also included to represent vessel collapse. The complete model including arterioles, capillaries and venules represents a nonlinear system of PDEs, which is approached numerically by finite element discretization and linearization techniques. We use the model to simulate flow in the microcirculation of the human eye retina, a terminal system with a single inlet and outlet. After a phase of validation against experimental measurements, we simulate the network response to different interstitial pressure values. Such a study is carried out both for global and localized variations of the interstitial pressure. In both cases, significant redistributions of the blood flow in the network arise, highlighting the importance of considering the single vessel behavior along with its position and connectivity in the network

The Centrality of Sadness: Networks of Depression, Grief, and Trauma Symptoms in a Spousally Bereaved Sample

SIGNIFICANCE: Complicated and persistent grief reactions afflict 10% of bereaved individuals, and are associated with severe disruptions of functioning. These maladaptive patterns were tentatively included in the DSM-5 as Persistent Complex Bereavement Disorder (PCBD). The condition has been studied using network analysis, showing how symptoms activate and reinforce each other into psychopathological configurations. This approach offers unique insights to inform clinical practice and define psychopathology. Despite these strengths, previous studies were based on self-report information from a single archival dataset. To overcome these limitations, we collected clinical data from a community sample of newly bereaved individuals who suffered loss of a spouse (N=305). Symptoms of PCBD from semi-structured clinical interviews were analyzed via a network approach. METHODS: Ising model Networks of PCBD were generated from symptoms diagnosed at 3 months, 14 months, and 25 months after the loss. Comorbidities with DSM-5 symptoms of Major Depressive Disorder, and PTSD were also explored. The role of risk factors was also assessed. Lastly, longitudinal VAR networks were generated combining the three temporal observations. RESULTS: Symptoms from the Social/Identity PCBD cluster were central in the network configurations. Yearning and Emotional Pain appeared less strongly interconnected compared to previous research. Meaninglessness activated a cascade of further PCBD symptoms over time. Loneliness, difficulties trusting others and meaninglessness bridged with comorbid depressive and trauma symptoms. CONCLUSIONS: Symptoms related to loss of identity and meaninglessness were identified as salient candidates for targeted interventions. The network approach showed potential for an improved understanding of psychopathological distress reactions following potentially traumatic events

Innovative Model based on the Irradiance-Temperature Fitting of Equivalent Circuit Parameters for Commercial Photovoltaic Modules towards Accurate Power and Energy Prediction

L'abstract è presente nell'allegato / the abstract is in the attachmen

Mathematical methods for modeling the microcirculation

The microcirculation plays a major role in maintaining homeostasis in the body. Alterations or dysfunctions of the microcirculation can lead to several types of serious diseases. It is not surprising, then, that the microcirculation has been an object of intense theoretical and experimental study over the past few decades. Mathematical approaches offer a valuable method for quantifying the relationships between various mechanical, hemodynamic, and regulatory factors of the microcirculation and the pathophysiology of numerous diseases. This work provides an overview of several mathematical models that describe and investigate the many different aspects of the microcirculation, including geometry of the vascular bed, blood flow in the vascular networks, solute transport and delivery to the surrounding tissue, and vessel wall mechanics under passive and active stimuli. Representing relevant phenomena across multiple spatial scales remains a major challenge in modeling the microcirculation. Nevertheless, the depth and breadth of mathematical modeling with applications in the microcirculation is demonstrated in this work. A special emphasis is placed on models of the retinal circulation, including models that predict the influence of ocular hemodynamic alterations with the progression of ocular diseases such as glaucoma

Control of cytosolic free calcium in rat and chicken osteoclasts. The role of extracellular calcium and calcitonin.

Single cell [Ca2+], studies were performed in chicken and rat osteoclasts loaded with fura-2 and exposed to a variety of treatments. Under resting conditions, basal [Ca2+]i, was 79.2 +/- 47.3 and 84.3 +/- 65.7 nM (averages +/- S.D.; n = 141 and 126) in the osteoclasts of the two species, respectively. Basal [Ca2+]i was stable in all rat and in approximately 80% of chicken osteoclasts. In the remaining 20%, spontaneous, irregular [Ca2+], fluctuations were observed (amplitude range: 50-200 nm over basal values). Increase of [Ca2+]o over the concentration of the Krebs-Ringer incubation medium (2 mM) induced rises of [Ca2+] in almost all cells investigated. [Ca2+] rises were already appreciable with 0.5 mM [Ca2+]o additions and reached high values with 4 mM additions: 390 +/- 113 and 364 +/- 214 nM [Ca2+], in rat and chicken osteoclasts, respectively (n = 122 and 101). Qualitatively, the responses to [Ca2+]o additions consisted of discrete [Ca2+]i transients, biphasic (an initial spike followed by a plateau), or monophasic (either the spike or the plateau). In a few chicken osteoclasts, the [Ca2+]i increase occurring after [Ca2+]o addition consisted of multiple, irregular fluctuations, similar to those observed in 20% of these cells under resting conditions. In individual osteoclasts subsequently exposed to multiple [Ca2+]o increase pulses, the type of the [Ca2+]i transient (mono- or biphasic) was maintained, and the size was dependent on the magnitude of the [Ca2+]o additions. Effects similar to those of [Ca2+]o were induced by the addition of Cd2+ or Ba2+ (but not La3+ or Mg2+) into the medium. The Cd2+ effect was maintained in part even in a Ca2+-free medium. Of various hormones and factors, parathormone, 1,25-dihydroxyvitamin D3, and prostaglandin E2 were inactive. In contrast, calcitonin was active in rat osteoclasts (which express numerous receptors). [Ca2+]i increases were small (19 +/- 17.9 nM; n = 21) when the hormone was administered alone; they were synergistic (severalfold potentiation) when the hormone was administered before or after [Ca2+]o. The [Ca2+]i effects of calcitonin were mimicked by 8Br-cAMP (31 +/- 26 nM; n = 12) when the nucleotide was administered alone; marked synergism when it was administered in combination with [Ca2+]o. This paper demonstrates for the first time that changes of [Ca2+]i are induced in osteoclasts by treatments with [Ca2+]o and calcitonin and can therefore be involved in intracellular mediation of the physiological effects of these two extracellular signals

Novel Semliki Forest virus vectors with reduced cytotoxicity and temperature sensitivity for long-term enhancement of transgene expression.

Alphaviral vectors inhibit host cell protein synthesis and are cytotoxic. To overcome these limitations, we modified the nonstructural protein-2 (nsP2) gene in the Semliki Forest virus (SFV) vector, pSFV1. Packaging of SFV replicons with two point mutations in nsP2 resulted in high-titer recombinant SFV(PD) particles. SFV(PD) led to more efficient host cell protein synthesis, exhibited reduced cytotoxicity and improved cell survival, and allowed greater and prolonged transgene expression than the original vector, SFV. In dissociated hippocampal neurons and organotypic rat hippocampal slices, SFV(PD) infection preserved neuronal morphology and synaptic function more efficiently than SFV. Combination of the two point mutations with a replication-persistent mutation in nsP2 resulted in a highly temperature-sensitive vector, SFV(PD713P), which efficiently transduced neurons in hippocampal slice cultures. At 31 °C, SFV(PD713P) allowed continuous transgene expression in BHK cells, at amounts comparable to SFV(PD). These new SFV mutants are expected to substantially broaden the application of alphaviral vectors in neurons and other mammalian cells

Photovoltaic Power Prediction from Medium-Range Weather Forecasts: a Real Case Study

The aim of this work is to utilize weather forecasts with a lead time from 6 h to 30 h as input data of a photovoltaic (PV) model to predict the AC power production. In order to always use the last forecasts, the inputs are updated every time there are new data, e.g., every 6 h. The ability of the model is tested on a residential PV plant for which global irradiance and electrical power are measured. The typical indicators of forecast accuracy in the PV applications are used: mean bias error and mean absolute error for both irradiance and power. However, they are normalized with respect to the standard irradiance and the PV rated power. Their values are generally adequate in clear sky and overcast conditions, remaining around the 10% limit

Reliability analysis and repair activity for the components of 350 kw inverters in a large scale grid-connected photovoltaic system

The reliability of photovoltaic (PV) generators is strongly affected by the performance of Direct Current/Alternating Current (DC/AC) converters, being the major source of PV under-performance. However, generally, their reliability is not investigated at component level: thus, the present work presents a reliability analysis and the repair activity for the components of full bridge DC/AC converters. In the first part of the paper, a reliability analysis using failure rates from literature is carried out for 132 inverters (AC rated power of 350 kW each) with global AC power of 46 MW in a large scale grid-connected PV plant. Then, in the second part of the work, results from literature are compared with data obtained by analyzing industrial maintenance reports in the years 2015–2017. In conclusion, the yearly energy losses involved in the downtime are quantified, as well as their availability