Small Satellite Regulation in 2021

Small satellite innovation has advanced rapidly over the past decade, and regulators are working hard to keep up. In August 2020, a new streamlined licensing process became available at the Federal Communications Commission (FCC) for certain small satellite missions to bring satellite licensing procedures up to date with technological innovation. This new optional licensing process applies to small satellites meeting certain criteria, such as a constellation of ten or fewer satellites, a wet mass of 180 kg or less, a shorter in-orbit lifetime, and a low orbital debris risk. The streamlined licensing process provides for reduced fees and decreased regulatory barriers for qualifying satellite operators, enabling the deployment of low-cost commercial satellite systems that were previously untenable under the FCC’s rules. This new process provides operators with an intermediate licensing option in addition to the FCC’s existing processes for satellite authorization, including its experimental, amateur, and standard Part 25 commercial satellite licensing procedures, giving small satellite operators flexibility to choose the licensing procedure that best matches their operational and spectrum needs. Operators with satellite systems meeting the criteria for streamlined licensing have already started to apply for FCC authorizations, and there are lessons to be learned from FCC review and grant of these early applications. The rules governing orbital debris mitigation, space situational awareness and space traffic management have also evolved. In addition to the FCC, satellite licensing involves a variety of other federal agencies. As part of the FCC authorization process, the FCC will coordinate spectrum use with the National Telecommunications and Information Administration (NTIA) if federal systems operate in the same spectrum. The Federal Aviation Administration (FAA) licenses commercial launch and reentry vehicles well as commercial spaceports. Commercial remote sensing satellites require a license from the National Oceanic and Atmospheric Administration (NOAA). The Departments of Commerce and State license exports of space technology

Small Satellite Regulation in 2020

Small satellite innovation has advanced at a rapid pace over the past decade, but until recently satellite licensing procedures have lagged behind technological innovation, imposing significant regulatory and financial burdens on small satellite operators during early stages of system development. In late 2019, the Federal Communications Commission (FCC) adopted rules creating a new, optional licensing process for small satellites meeting certain criteria, such as a wet mass of 180 kg or less, a shorter in-orbit lifetime, and a low orbital debris risk. Satellite systems meeting these and other criteria may apply for FCC authorization or U.S. market access under a streamlined application process with reduced fees, decreasing barriers to entry for qualifying operators and enabling the deployment of low-cost satellite systems. This new licensing process is in addition to the FCC’s existing processes for satellite authorization, including its experimental (part 5), amateur (part 97), and standard commercial satellite licensing procedures (part 25). Small satellite operators seeking to provide service in the United States now have a variety of licensing options to choose from, and will need to select the licensing procedure that best matches their operational and spectrum needs. In addition to the FCC, satellite licensing involves a variety of other federal agencies. As part of the FCC authorization process, the FCC will coordinate spectrum use with the National Telecommunications and Information Administration (NTIA). The Federal Aviation Administration (FAA) licenses commercial launch and reentry vehicles well as commercial spaceports. Commercial remote sensing satellites require a license from the National Oceanic and Atmospheric Administration (NOAA). The Departments of Commerce and State license exports of space technology. The Department of State also maintains a registry of U.S. space objects. This paper gives an overview of the licensing and authorization regimes in the United States as they apply to small satellite operations

Testing the Limits of Temporal Stability: Willingness to Pay Values among Grand Canyon Whitewater Boaters Across Decades

We directly compare trip willingness to pay (WTP) values between 1985 and 2015 stated preference surveys of private party Grand Canyon boaters using identically designed valuation methods. The temporal gap of 30 years between these two studies is well beyond that of any tests of WTP temporal stability in the literature. Comparisons were made of mean WTP estimates for four hypothetical Colorado River flow level scenarios. WTP values from the 1985 survey were adjusted to 2015 levels using the consumer price index. Mean WTP precision was estimated through simulation. No statistically significant differences were detected between the adjusted Bishop et al. (1987) and the current study mean WTP estimates. Examination of pooled models of the data from the studies suggest that while the estimated WTP values are stable over time, the underlying valuation functions may not be, particularly when the data and models are corrected to account for differing bid structures and possible panel effects

Clinical perspectives on hospitals’ role in the opioid epidemic

Policymakers, legislators, and clinicians have raised concerns that hospital-based clinicians may be incentivized to inappropriately prescribe and administer opioids when addressing pain care needs of their patients, thus potentially contributing to the ongoing opioid epidemic in the United States. Given the need to involve all healthcare settings, including hospitals, in joint efforts to curb the opioid epidemic, it is essential to understand if clinicians perceive hospitals as contributors to the problem. Therefore, we examined clinical perspectives on the role of hospitals in the opioid epidemic

Transcriptional profiling identifies the metabolic phenotype of gonococcal biofilms

Neisseria gonorrhoeae, the etiologic agent of gonorrhea, is frequently asymptomatic in women, often leading to chronic infections. One factor contributing to this may be biofilm formation. N. gonorrhoeae can form biofilms on glass and plastic surfaces. There is also evidence that biofilm formation may occur during natural cervical infection. To further study the mechanism of gonococcal biofilm formation, we compared transcriptional profiles of N. gonorrhoeae biofilms to planktonic profiles. Biofilm RNA was extracted from N. gonorrhoeae 1291 grown for 48 h in continuous-flow chambers over glass. Planktonic RNA was extracted from the biofilm runoff. In comparing biofilm with planktonic growth, 3.8% of the genome was differentially regulated. Genes that were highly upregulated in biofilms included aniA, norB, and ccp. These genes encode enzymes that are central to anaerobic respiratory metabolism and stress tolerance. Downregulated genes included members of the nuo gene cluster, which encodes the proton-translocating NADH dehydrogenase. Furthermore, it was observed that aniA, ccp, and norB insertional mutants were attenuated for biofilm formation on glass and transformed human cervical epithelial cells. These data suggest that biofilm formation by the gonococcus may represent a response that is linked to the control of nitric oxide steady-state levels during infection of cervical epithelial cells

Measurement of Protein Tyrosine Phosphatase Activity in Single Cells by Capillary Electrophoresis

A fluorescent peptide substrate was used to measure dephosphorylation by protein tyrosine phosphatases (PTP) in cell lysates, and single cells and to investigate the effect of environmental toxins on PTP activity in these systems. Dephosphorylation of the substrate by PTPN1 and PTPN2 obeyed Michaelis-Menten kinetics, with KM values of 770 ± 250 nM and 290 ± 54 nM, respectively. Dose-response curves and IC50 values were determined for the inhibition of these two enzymes by the environmental toxins Zn2+ and 1,2-naphthoquinone, as well as pervanadate. In A431 cell lysates, the reporter was a poor substrate for peptidases (degradation rate of 100 ± 8.2 fmol min−1 mg−1) but an excellent substrate for phosphatases (dephosphorylation rate of 1.4 ± 0.3 nmol min−1 mg−1). Zn2+, 1,2-naphthoquinone and pervanadate inhibited dephosphorylation of the reporter in cell lysates with IC50 values of 470 nM, 35 μM, and 100 nM, respectively. Dephosphorylation of the reporter following loading into living single cells occurred at rates of at least 2 pmol min−1 mg−1. When single cells were exposed to 1,2-naphthoquinone (50 μM), Zn2+ (100 μM), and pervandate (1 mM), dephosphorylation was inhibited with median values and first and third quartile values of 41 (Q1 = 0%, Q3 = 96%), 50 (Q1 = 46%, Q3 = 74%), and 53% (Q1 = 36%, Q3 = 77%), respectively, demonstrating both the impact of these toxic exposures on cell signaling and the heterogeneity of response between cells. This approach will provide a valuable tool for the study of PTP dynamics, particularly in small, heterogeneous populations such as human biopsy specimens

SWISS MADE: Standardized WithIn Class Sum of Squares to Evaluate Methodologies and Dataset Elements

Contemporary high dimensional biological assays, such as mRNA expression microarrays, regularly involve multiple data processing steps, such as experimental processing, computational processing, sample selection, or feature selection (i.e. gene selection), prior to deriving any biological conclusions. These steps can dramatically change the interpretation of an experiment. Evaluation of processing steps has received limited attention in the literature. It is not straightforward to evaluate different processing methods and investigators are often unsure of the best method. We present a simple statistical tool, Standardized WithIn class Sum of Squares (SWISS), that allows investigators to compare alternate data processing methods, such as different experimental methods, normalizations, or technologies, on a dataset in terms of how well they cluster a priori biological classes. SWISS uses Euclidean distance to determine which method does a better job of clustering the data elements based on a priori classifications. We apply SWISS to three different gene expression applications. The first application uses four different datasets to compare different experimental methods, normalizations, and gene sets. The second application, using data from the MicroArray Quality Control (MAQC) project, compares different microarray platforms. The third application compares different technologies: a single Agilent two-color microarray versus one lane of RNA-Seq. These applications give an indication of the variety of problems that SWISS can be helpful in solving. The SWISS analysis of one-color versus two-color microarrays provides investigators who use two-color arrays the opportunity to review their results in light of a single-channel analysis, with all of the associated benefits offered by this design. Analysis of the MACQ data shows differential intersite reproducibility by array platform. SWISS also shows that one lane of RNA-Seq clusters data by biological phenotypes as well as a single Agilent two-color microarray

SWISS MADE: Standardized WithIn Class Sum of Squares to Evaluate Methodologies and Dataset Elements

Contemporary high dimensional biological assays, such as mRNA expression microarrays, regularly involve multiple data processing steps, such as experimental processing, computational processing, sample selection, or feature selection (i.e. gene selection), prior to deriving any biological conclusions. These steps can dramatically change the interpretation of an experiment. Evaluation of processing steps has received limited attention in the literature. It is not straightforward to evaluate different processing methods and investigators are often unsure of the best method. We present a simple statistical tool, Standardized WithIn class Sum of Squares (SWISS), that allows investigators to compare alternate data processing methods, such as different experimental methods, normalizations, or technologies, on a dataset in terms of how well they cluster a priori biological classes. SWISS uses Euclidean distance to determine which method does a better job of clustering the data elements based on a priori classifications. We apply SWISS to three different gene expression applications. The first application uses four different datasets to compare different experimental methods, normalizations, and gene sets. The second application, using data from the MicroArray Quality Control (MAQC) project, compares different microarray platforms. The third application compares different technologies: a single Agilent two-color microarray versus one lane of RNA-Seq. These applications give an indication of the variety of problems that SWISS can be helpful in solving. The SWISS analysis of one-color versus two-color microarrays provides investigators who use two-color arrays the opportunity to review their results in light of a single-channel analysis, with all of the associated benefits offered by this design. Analysis of the MACQ data shows differential intersite reproducibility by array platform. SWISS also shows that one lane of RNA-Seq clusters data by biological phenotypes as well as a single Agilent two-color microarray