Polysaccharide associated protein (PSAP) from the green microalga Botryococcus braunii is a unique extracellular matrix hydroxyproline-rich glycoprotein
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Absorptivity measurements with a laser-heating approach, referred to as the laser-driven thermal reactor (LDTR), were carried out in the infrared and applied at ambient (laboratory) nonreacting conditions to particle-laden filters from a three-wavelength (visible) particle/soot absorption photometer (PSAP). Here, the particles were obtained during the Biomass Burning Observation Project (BBOP) field campaign. The focus of this study was to determine the particle absorption coefficient from field-campaign filter samples using the LDTR approach, and compare results with other commercially available instrumentation (in this case with the PSAP, which has been compared with numerous other optical techniques).
Radiance Research PSAPs as described in this Handbook are deployed in the second ARM Mobile Facility (AMF2) Aerosol Observing System (AOS), the third ARM Mobile Facility (AMF3) AOS, ENA AOS and Mobile Aerosol Observing System (MAOS)-A. An earlier version of the PSAP is currently operated in the ARM Aerial Facility and at SGP. The older SGP instrument is covered in a separate Handbook.
This field campaign will address multiple uncertainties in aerosol intensive properties, which are poorly represented in climate models, by means of aircraft measurements in biomass burning plumes. Key topics to be investigated are: Aerosol mixing state and morphology Mass absorption coefficients (MACs) Chemical composition of non-refractory material associated with light-absorbing carbon (LAC) Production rate of secondary organic aerosol (SOA) Microphysical processes relevant to determining aerosol size distributions and single scattering albedo (SSA) CCN activity.
Abstract Mesenchymal glioblastoma (GBM) is the most aggressive subtype of GBM. Our previous study found that neurotrophic factor prosaposin (PSAP) is highly expressed and secreted in glioma and can promote the growth of glioma. The role of PSAP in mesenchymal GBM is still unclear. In this study, bioinformatic analysis, western blotting and RT‐qPCR were used to detect the expression of PSAP in different GBM subtypes. Human glioma cell lines and patient‐derived glioma stem cells were studied in vitro and in vivo , revealing that mesenchymal GBM expressed and secreted the highest level of PSAP among four subtypes of GBM, and PSAP could promote GBM invasion and epithelial–mesenchymal transition (EMT)‐like processes in vivo and in vitro . Bioinformatic analysis and western blotting showed that PSAP mainly played a regulatory role in GBM invasion and EMT‐like processes via the TGF‐β1/Smad signaling pathway. In conclusion, the overexpression and secretion of PSAP may be an important factor causing the high invasiveness of mesenchymal GBM. PSAP is therefore a potential target for the treatment of mesenchymal GBM. © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd
Transmissivity and absorptivity measurements were carried out simultaneously in the visible (wavelength of 532 nm) at laboratory conditions using particle-laden filters obtained from a three-wavelength particle/soot absorption photometer (PSAP). Here, the particles were collected on filters from wildland fires over the Pacific Northwest during the Department of Energy Biomass Burning Observation Project (BBOP) field campaign in 2013. The objective of this investigation was to apply this measurement approach, referred to as simultaneous transmission/absorption photometry (STAP), to estimate the aerosol extinction coefficient from actual field-campaign filter aerosol, and compare results with the PSAP. The STAP approach offers several advantages over the PSAP, including estimation of the extinction coefficient from temperature measurements (avoiding the complexities associated with filter reflectivity/scattering measurements), as well as determination of the filter optical properties and filter effects on particle absorption (resulting in particle absorption enhancement). The experimental arrangement included a laser probe beam impinging normal to the particle-coated surface of a vertically mounted filter, and a thermocouple placed flush in the middle of (and in thermal contact with) the filter uncoated back surface. With this simple arrangement, the transmissivity and absorptivity were determined simultaneously at a given laser beam wavelength. The measurement repeatability was better than 0.3 K (95% confidence level) for temperature and 0.4 mW for laser power. The limit of detection for the extinction coefficient was estimated to be (8–12) Mm -1 (95% confidence level) at about 1.9 mW laser power. The extinction coefficient was determined through measurement of both PSAP blank and exposed filters. Filters were obtained from nine different aircraft flights conducted during the BBOP campaign, representing different flight patterns, days, stages of burning, landscapes, and wildland fires. The STAP extinction coefficient matched the darkness of the filter coating, however the PSAP-filter results did not follow the same order. Although there were differences in transmissivity between the two techniques, the estimated values for absorption coefficient were in good agreement.
The goal of this study was to determine the best filter media for use in ARM PSAPs following the manufacturer discontinuation of the current filter media. The study comprised by multiple experiments to assess four potential replacement filter medium relative to the Pallflex E-70, which is being discontinued, and is documented in ARM ServiceNow under ENG0003846. The experiments laid out in the document ‘180504 Filter Aerosol Measurements for ARM.docx’ and several subsequent tests suggest that the Pallflex Emfab media is the best candidate for ongoing ARM filter-based absorbance measurements. Other media were ruled out based on particle-capture efficiency for small particles. In tests with Nigrosin, EMFAB exceeded all other media. Tests were done measuring reported absorbance for all media in Particle Soot Absorption Photometers (PSAPs) operated in parallel sampling under several conditions: ambient air, 3 sizes of black-dyed PSL (Poly Styrene Latex) spheres, and Nigrosin particles. These tests indicate a different factor of reported absorbance for each media relative to the original Pallflex E70 filter. The factor for the Azumi media was consistent with unpublished work by Ogren (NOAA). The tests described here were not exhaustive and were complicated by time-varying differences among the PSAPs used. However, it is concluded that they are sufficient to justify ARM switching to Emfab filter media for future ARM PSAP measurements. The remaining store of E70 will be reserved to quantitatively characterize differences between Emfab and E70 (and Azumi?) in both laboratory and field side-by-side tests as put forth in a succeeding ENG. This future work will empirically identify correction factors applicable to Emfab and quantify the uncertainty in comparing the historical E70 measurements with ongoing Emfab measurements. Comparison of PSAP measurements with an independent absolute ‘reference’ for aerosol absorbance, i.e., PhotoThermal Interferometry or difference measurements of Cavity Attenuated Phase Shift extinction (CAPS) minus Nephelometry scattering would be valuable but exceed the scope of ARM Infrastructure. While the characterization of correction factors is required for maintaining and improving accuracy in future absorption measurements, it was beyond the scope of the current study.
The goal of this study was to determine the best filter media for use in Atmospheric Radiation Measurement (ARM) particle soot absorption photometers (PSAPs) following the manufacturer discontinuation of the current filter media. The study comprised multiple experiments to assess four potential replacement filter medium relative to the Pallflex E-70, which is being discontinued, and is documented in ARM’s ServiceNow system under ENG0003846. The experiments laid out in the document ‘180504 Filter Aerosol Measurements for ARM.docx’ and several subsequent tests suggest that the Pallflex Emfab media is the best candidate for ongoing ARM filter-based absorbance measurements. Other media were ruled out based on particle capture efficiency for small particles. In tests with Nigrosin, Emfab exceeded all other media. Tests were done measuring reported absorbance for all media in PSAPs operated in parallel sampling under several conditions: ambient air, three sizes of black-dyed PSL (polystyrene latex) spheres, and Nigrosin particles. These tests indicate a different factor of reported absorbance for each media relative to the original Pallflex E70 filter. The factor for the Azumi media was consistent with unpublished work by Ogren (National Oceanic and Atmospheric Administration [NOAA]). The tests described here were not exhaustive and were complicated by time-varying differences among the PSAPs used. However, it is concluded that they are sufficient to justify ARM switching to Emfab filter media for future ARM PSAP measurements. The remaining store of E70 will be reserved to quantitatively characterize differences between Emfab and E70 (and Azumi?) in both laboratory and field side-by-side tests as put forth in a succeeding ENG. This future work will empirically identify correction factors applicable to Emfab and quantify the uncertainty in comparing the historical E70 measurements with ongoing Emfab measurements. Comparison of PSAP measurements with an independent absolute ‘reference’ for aerosol absorbance, i.e., photo thermal interferometry or difference measurements of cavity attenuated phase shift extinction (CAPS) minus nephelometry scattering, would be valuable but exceed the scope of ARM Infrastructure. While the characterization of correction factors is required for maintaining and improving accuracy in future absorption measurements, it was beyond the scope of the current study.
Abstract. Measurement of light absorption of solar radiation by aerosols is vital for assessing direct aerosol radiative forcing, which affects local and global climate. Low-cost and easy-to-operate filter-based instruments, such as the Particle Soot Absorption Photometer (PSAP), that collect aerosols on a filter and measure light attenuation through the filter are widely used to infer aerosol light absorption. However, filter-based absorption measurements are subject to artifacts that are difficult to quantify. These artifacts are associated with the presence of the filter medium and the complex interactions between the filter fibers and accumulated aerosols. Various correction algorithms have been introduced to correct for the filter-based absorption coefficient measurements toward predicting the particle-phase absorption coefficient (Babs). However, the inability of these algorithms to incorporate into their formulations the complex matrix of influencing parameters such as particle asymmetry parameter, particle size, and particle penetration depth results in prediction of particle-phase absorption coefficients with relatively low accuracy. The analytical forms of corrections also suffer from a lack of universal applicability: different corrections are required for rural and urban sites across the world. In this study, we analyzed and compared 3 months of high-time-resolution ambient aerosol absorption data collected synchronously using a three-wavelength photoacoustic absorption spectrometer (PASS) and PSAP. Both instruments were operated on the same sampling inlet at the Department of Energy's Atmospheric Radiation Measurement program's Southern Great Plains (SGP) user facility in Oklahoma. We implemented the two most commonly used analytical correction algorithms, namely, Virkkula (2010) and the average of Virkkula (2010) and Ogren (2010)–Bond et al. (1999) as well as a random forest regression (RFR) machine learning algorithm to predict Babs values from the PSAP's filter-based measurements. The predicted Babs was compared against the reference Babs measured by the PASS. The RFR algorithm performed the best by yielding the lowest root mean square error of prediction. The algorithm was trained using input datasets from the PSAP (transmission and uncorrected absorption coefficient), a co-located nephelometer (scattering coefficients), and the Aerosol Chemical Speciation Monitor (mass concentration of non-refractory aerosol particles). A revised form of the Virkkula (2010) algorithm suitable for the SGP site has been proposed; however, its performance yields approximately 2-fold errors when compared to the RFR algorithm. To generalize the accuracy and applicability of our proposed RFR algorithm, we trained and tested it on a dataset of laboratory measurements of combustion aerosols. Input variables to the algorithm included the aerosol number size distribution from the Scanning Mobility Particle Sizer, absorption coefficients from the filter-based Tricolor Absorption Photometer, and scattering coefficients from a multiwavelength nephelometer. The RFR algorithm predicted Babs values within 5 % of the reference Babs measured by the multiwavelength PASS during the laboratory experiments. Thus, we show that machine learning approaches offer a promising path to correct for biases in long-term filter-based absorption datasets and accurately quantify their variability and trends needed for robust radiative forcing determination.
Complex training (CT) is a combination training method that alternates between performing high-load resistance training (RT) and plyometric training within one single session. The study aimed to examine the effects of CT on lower-limb strength and power of elite female modern pentathlon athletes under the new modern pentathlon format and competition rules. Ten female participants (age: 23.55 ± 2.22 years, weight: 60.59 ± 3.87 kg, height: 169.44 ± 4.57 cm, and training experience: 6.90 ± 2.08 years) of the national modern pentathlon team completed 8 weeks of RT as followed by 8 weeks of CT, with 2 weeks of break. Then, the participants conducted 8 weeks of CT, which included RT combined with plyometric training (e.g., drop jump and continuous jump). All stages of training were designed by the linear strength training period theories, requiring participants to train twice for the first 4 weeks and three times for the second 4 weeks. The one-repetition maximum (1RM) of squat, isometric mid-thigh pull (IMTP), counter-movement jump (CMJ), squat jump (SJ), pre-stretch augmentation percentage (PSAP), and reaction strength index (RSI) were assessed before and after both RT and CT training. One-way repeated-measure ANOVA models revealed that the 1RM of squat was significantly improved ( p < 0.001) after RT as compared to pre-RT. No significant improvement in IMTP ( p = 0.055), CMJ ( p = 0.194), SJ ( p = 0.692), PSAP ( p = 0.087), and RSI ( p = 0.238) was not observed. After CT, 1RM of squat ( p < 0.001), IMTP ( p < 0.035), CMJ ( p < 0.001), SJ ( p < 0.008), RSI ( p < 0.006) were significant improved as compared to pre-RT, post-RT and pre-CT, while significant improvements in PSAP were observed as compared to pre-RT ( p = 0.003) and pre-CT ( p = 0.027), but not to post-RT ( p = 0.156). This pilot study showed the promise of CT following RT to improve lower-limb strength and power in elite female modern pentathlon athletes. The findings are worthwhile to be confirmed in future studies with larger sample size and randomized design.
The dataset contains aerosol light absorption and scattering coefficients measured by three single-wavelength Integrated Photoacoustic Nephelometers (IPN). The absorption coefficients were measured at 405, 721, and 1047 nm, while the scattering coefficients were measured at 405 and 721 nm. The single scattering albedo (SSA) at 405 and 721 nm were also calculated from the IPN measurements. The three IPNs shared a common inlet without impactor/cyclone in July; in August, a PM2.5 cyclone inlet was installed to reduce measurement noise and improve data quality. The 721-nm IPN experienced laser shutdown issues, causing missing of a large fraction of the 721-nm measurements, especially in July. As described before, the 721-nm laser issue was less frequent in August after the cyclone installation, improving the data completeness and quality. The IPN raw data were noisy, making identifying patterns and trends difficult; therefore, the hourly average data are recommended over the raw data. The hourly average data were cross-checked with the filter-based TAP and PSAP measurements, which showed that their patterns, trends, and peaks matched. However, due to the differences in working mechanisms and principles of the filter-based and photoacoustic particle-phase instruments, the IPN measurements are lower than the filter-based measurements despite that they have consistent patterns, trends, and peaks.
Compressed air systems, ammonia refrigeration systems, chilled water systems, steam systems, process heating systems, combined heat and power systems, pump systems and fan systems are major industrial energy systems commonly found in manufacturing facilities. Efficiency of these systems contributes significantly to whole facilities' energy performance. On the national, even international level, well-structured training and highly recognized certification programs help develop a highly-skilled and qualified workforce to maintain and improve facilities' energy performance, particularly as technologies within these systems become more advanced. The purpose of this paper is to review currently available training and certification programs focusing on these systems and to identify the gap between market's needs and currently available programs. Three major conclusions are: first, most training programs focus on operations, maintenance, safety and design although some briefly touch the energy performance aspect; second, except CRES by RETA and PSA Certificate and PSAP Master Certification by HI, no other certifications had been found emphasizing on knowledge and skills for improving and maintaining these systems' energy performance; third, developing energy efficiency focused training and ANSI accredited certification programs on these energy systems will fill the gap between market's needs and currently available programs.
We present compressed air systems, ammonia refrigeration systems, chilled water systems, steam systems, process heating systems, combined heat and power systems, pump systems and fan systems are major industrial energy systems commonly found in manufacturing facilities. Efficiency of these systems contributes significantly to whole facilities' energy performance. On the national, even international level, well-structured training and highly recognized certification programs help develop a highly-skilled and qualified workforce to maintain and improve facilities' energy performance, particularly as technologies within these systems become more advanced. The purpose of this paper is to review currently available training and certification programs focusing on these systems and to identify the gap between market's needs and currently available programs. Three major conclusions are: first, most training programs focus on operations, maintenance, safety and design although some briefly touch the energy performance aspect; second, except CRES by RETA and PSA Certificate and PSAP Master Certification by HI, no other certifications had been found emphasizing on knowledge and skills for improving and maintaining these systems' energy performance; third, developing energy efficiency focused training and ANSI accredited certification programs on these energy systems will fill the gap between market's needs and currently available programs.
ARM Aerial Facility (AAF) Particle Soot Absorption Photometer Absorption Coefficients
ARM Aerial Facility (AAF) Particle Soot Absorption Photometer - 10 second averages with Weiss correction