Respiration rate model for mature green capsicum (Capsicum annum L.) under closed aerobic atmospheric conditions

The respiration rate of green capsicum cv. ‘Swarna’ fruits harvested at mature green stage were determined under closed system at 10, 15 and 20 ºC temperatures. A simple Michaelis-Menten kinetic model coupled with Arrhenius-type equation, which describes temperature as a function of respiration rate, was used to model the respiration rate of capsicum. The respiration rate model parameters at defined temperature were estimated by fitting the model to the experimental set of data by non-linear regression analysis method. The respiration rate of green mature capsicum was influenced by the temper¬ature. The Arrhenius equation well described the relationship between enzyme kinematics model parameters and temperature. The values of Michaelis-Menten constant for oxygen (Kmo2) and carbon dioxide (Kmco2) were found to vary from 2.14 to 3.92 and 1.33 to 3.24, respectively at different temperature. Experimental and predicted RRO2 values for mature green capsicum was found to be ranged from 9.54 to 14.54 and 11.81 to 17.52 mg/kg-h, respectively. Whereas, the experimental and predicted RRCO2 were 20.1 to 38.51 and 22.15 to 39.83 mg/ kg-h, respectively

Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) Conceptual Design Report Volume 2: The Physics Program for DUNE at LBNF

The Physics Program for the Deep Underground Neutrino Experiment (DUNE) at the Fermilab Long-Baseline Neutrino Facility (LBNF) is described

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

Respiration rate model for mature green capsicum (Capsicum annum L.) under closed aerobic atmospheric conditions

The respiration rate of green capsicum cv. ‘Swarna’ fruits harvested at mature green stage were determined under closed system at 10, 15 and 20 ºC temperatures. A simple Michaelis-Menten kinetic model coupled with Arrhenius-type equation, which describes temperature as a function of respiration rate, was used to model the respiration rate of capsicum. The respiration rate model parameters at defined temperature were estimated by fitting the model to the experimental set of data by non-linear regression analysis method. The respiration rate of green mature capsicum was influenced by the temper¬ature. The Arrhenius equation well described the relationship between enzyme kinematics model parameters and temperature. The values of Michaelis-Menten constant for oxygen (Kmo2) and carbon dioxide (Kmco2) were found to vary from 2.14 to 3.92 and 1.33 to 3.24, respectively at different temperature. Experimental and predicted RRO2 values for mature green capsicum was found to be ranged from 9.54 to 14.54 and 11.81 to 17.52 mg/kg-h, respectively. Whereas, the experimental and predicted RRCO2 were 20.1 to 38.51 and 22.15 to 39.83 mg/ kg-h, respectively

Estimation of number of deaths associated with exposure to excess ambient PM10 air pollution

The respirable particle matter (PM10) concentration in urban areas has been a chronic cause concern and principal reason for increased morbidity rate among resident population. The present study aimed at estimating a discrete event like mortality rate associated and attributable to excess particulate matter pollution in the Kathmandu Valley area. The Government of Nepal conducts air monitoring of particulates at its air monitoring site network covering valley area. Adopting the data available with respect to PM10 and with several other considerations like cutoff value for PM10, mean annual concentration, demographic data of valley, exceedance to the reference cutoff value, attributable fraction evolution and computation relative risk attributable to PM10 was computed. Assumption was made about the relative risk of long-term average PM10exposure on natural mortality estimated and reported from a previous study. The estimation or mortality rate in our case was 0.95% after all these considerations and computation. This implies that 95 deaths out of 10,000 deaths are due to particulate pollution existing in the Kathmandu Valley Area

GPCR mediated control of calcium dynamics: A systems perspective

G-protein coupled receptor (GPCR) mediated calcium (Ca2+)-signaling transduction remains crucial in designing drugs for various complex diseases including neurodegeneration, chronic heart failure as well as respiratory diseases. Although there are several reviews detailing various aspects of Ca2+-signaling such as the role of IP3 receptors and Ca2+-induced-Ca2+-release, none of them provide an integrated view of the mathematical descriptions of GPCR signal transduction and investigations on dose-response curves. This article is the first study in reviewing the network structures underlying GPCR signal transduction that control downstream [Cac2+]-oscillations. The central theme of this paper is to present the biochemical pathways, as well as molecular mechanisms underlying the GPCR-mediated Ca2+-dynamics in order to facilitate a better understanding of how agonist concentration is encoded in Ca2+-signals for Gαq, Gαs, and Gαi/o signaling pathways. Moreover, we present the GPCR targeting drugs that are relevant for treating cardiac, respiratory, and neuro-diseases. The current paper presents the ODE formulation for various models along with the detailed schematics of signaling networks. To provide a systems perspective, we present the network motifs that can provide readers an insight into the complex and intriguing science of agonist-mediated Ca2+-dynamics. One of the features of this review is to pinpoint the interplay between positive and negative feedback loops that are involved in controlling intracellular [Cac2+]-oscillations. Furthermore, we review several examples of dose-response curves obtained from [Cac2+]-spiking for various GPCR pathways. This paper is expected to be useful for pharmacologists and computational biologists for designing clinical applications of GPCR targeting drugs through modulation of Ca2+-dynamics