Individual-Tree and Stand-Level Models for Estimating Ladder Fuel Biomass Fractions in Unpruned <i>Pinus radiata</i> Plantations

The mild climate and, in recent decades, the increased demand for timber have favoured the establishment of extensive plantations of fast-growing species such as Pinus radiata in Galicia (a fire-prone region in northwestern Spain). This species is characterised by very poor self-pruning; unmanaged pine stands have a worrying vertical continuity of fuels after crown closure because the dead lower branches accumulate large amounts of fine dead biomass including twigs and suspended needles. Despite the important contribution of these dead ladder fuels to the overall canopy biomass and to crown-fire hazards, equations for estimating these fuels have not yet been developed. In this study, two systems of equations for estimating dead ladder fuel according to size class and the vertical distribution in the first 6 m of the crown were fitted: a tree-level system based on individual tree and stand variables and a stand-level system based only on stand variables. The goodness-of-fit statistics for both model systems indicated that the estimates were robust and accurate. At the tree level, fuel biomass models explained between 35% and 59% of the observed variability, whereas cumulative fuel biomass models explained between 62% and 81% of the observed variability. On the other hand, at the stand level, fuel-load models explained between 88% and 98% of the observed variability, whereas cumulative fuel-load models explained more than 98% of the total observed variability. These systems will therefore allow managers to adequately quantify the dead ladder fuels in pure Pinus radiata stands and to identify the treatments required to reduce crown-fire hazard

Individual-Tree and Stand-Level Models for Estimating Ladder Fuel Biomass Fractions in Unpruned Pinus radiata Plantations

The mild climate and, in recent decades, the increased demand for timber have favoured the establishment of extensive plantations of fast-growing species such as Pinus radiata in Galicia (a fire-prone region in northwestern Spain). This species is characterised by very poor self-pruning; unmanaged pine stands have a worrying vertical continuity of fuels after crown closure because the dead lower branches accumulate large amounts of fine dead biomass including twigs and suspended needles. Despite the important contribution of these dead ladder fuels to the overall canopy biomass and to crown-fire hazards, equations for estimating these fuels have not yet been developed. In this study, two systems of equations for estimating dead ladder fuel according to size class and the vertical distribution in the first 6 m of the crown were fitted: a tree-level system based on individual tree and stand variables and a stand-level system based only on stand variables. The goodness-of-fit statistics for both model systems indicated that the estimates were robust and accurate. At the tree level, fuel biomass models explained between 35% and 59% of the observed variability, whereas cumulative fuel biomass models explained between 62% and 81% of the observed variability. On the other hand, at the stand level, fuel-load models explained between 88% and 98% of the observed variability, whereas cumulative fuel-load models explained more than 98% of the total observed variability. These systems will therefore allow managers to adequately quantify the dead ladder fuels in pure Pinus radiata stands and to identify the treatments required to reduce crown-fire hazard

Aryl Hydrocarbon Receptor-Deficient Mice Develop Heightened Inflammatory Responses to Cigarette Smoke and Endotoxin Associated with Rapid Loss of the Nuclear Factor-κB Component RelB

The transcription factor aryl hydrocarbon receptor (AhR) plays an important role in the response to environmental pollutants. However, its role in normal physiology is unclear. To investigate the role of AhR in acute lung inflammation, control and AhR knockout (KO) mice were exposed to inhaled cigarette smoke or bacterial endotoxin. Smoke-induced lung inflammation was twofold to threefold more severe in AhR KO mice than controls. Intriguingly, levels of tumor necrosis factor-α and interleukin-6 in the bronchoalveolar lavage of air-exposed KO mice were equal to the levels seen in smoke-exposed controls, suggesting that AhR-deficient mice are inflammation prone. AhR KO mice challenged with inhaled endotoxin, which does not contain AhR ligands, also developed greater lung neutrophilia than controls, and bronchoalveolar lavage cells from AhR KO mice produced elevated levels of tumor necrosis factor-α and interleukin-6 when treated with endotoxin in vitro. Nuclear factor-κB DNA-binding activity was elevated in smoke-exposed AhR KO mice compared with controls and was associated with a rapid loss of RelB only in the KO mice. We propose that AhR is a previously unrecognized regulator of inflammation that interacts with nuclear factor-κB so that in the absence of AhR RelB is prematurely degraded, resulting in heightened inflammatory responses to multiple proinflam-matory stimuli

Sähkönlaadun ja energiankulutuksen tutkimus

Opinnäytetyössä tutkitaan sähkönlaadun ja energiankulutusta Raute Oyj:n rakentamissa vaneri- ja LVL-viilupalkkikoneissa. Opinnäytetyön tarkoituksena on selvittää esiintyykö Raute Oyj:n valmistamissa koneissa sähkönlaatua heikentäviä tekijöitä, kuten harmonisia yliaaltoja. Sähkönlaatua heikentävien tekijöiden lisäksi opinnäytetyössä selvitetään mahdollisuutta moottorikeskusten mitoituksessa käytettävän korjauskertoimen tarkentamiselle. Opinnäytetyön teoriaosassa esitellään sähkönlaatuun vaikuttavia tekijöitä, sekä niiden vaikutuksia sähköverkkoon ja verkonkäyttäjälle. Lisäksi teoriaosassa käydään läpi ratkaisuja, joilla esimerkiksi sähköverkossa esiintyvien yliaaltojen pitoisuutta voidaan vähentää tai poistaa kokonaan. Verkossa esiintyville häiriöille kuten harmonisille yliaalloille, taajuuden ja jännitteen vaihteluille on määritelty rajoituksia standardilla SFS-EN 50160, myös näitä rajoituksia ja niiden vaikutuksia sähkönlaatuun käydään läpi opinnäytetyön teoriaosassa. Sähkönlaatua ja energiankulutusta mitattiin kahdessa Raute Oyj:n koneessa, ja näiden mittaukseen käytettiin Fluken power quality analyzer mallia olevaa mittalaitetta. Mittaustuloksissa huomattiin sähkönlaadun olevan yleisesti hyvällä tasolla ja täyttävän standardissa SFS-EN 50160 sähkönlaadulle määritellyt raja-arvot. Tulosten perusteella huomattiin myös, että joissakin tapauksissa keskusten mitoituksessa käytettäviä korjauskertoimia pystyy tarkentamaan.The study researches the quality of electricity and the energy consumption on plywood and laminated veneer lumber (LVL) machines manufactured by Raute Plc. The Thesis aims to examine the potential existence of factors reducing the quality of electric, such as harmonic waves, on machines manufactured by Raute Plc. In addition to examine the electricity quality and consumption of energy, the thesis looks into the possibility of elaboration of motorcabin’s equalisation. The theory part of the Thesis presents factors that influence electric quality, as well as their influences on the electricity network and network’s users. Additionally, the theory part discusses solutions, which for instance reduce or eliminate harmonic waves in electric network. SFS-EN 50160 standard defines restrictions for disturbance in electric network such as harmonic waves, frequency and voltage variation, these restrictions are also presented in the theory part of the Thesis. In this study, electric quality and energy consumption were measured in two different machines manufactured by Raute Plc, and the measurements were conducted by Fluke power quality analyser measuring device. Electric quality was generally high according to the measurements, and it meets the electric quality standards defined in SFS-EN 50160. The measurements also indicated that in some cases the equalisation is possible to elaborate

Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

International audienceThe Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations

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

Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

International audienceThe Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations

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