Academic freedom and faculty careers: A case study of four Nobel laureate exiles, 1930-1940

The purpose of this historical study was to evaluate the consequences that the politically-determined conventions of academic freedom in Germany and in the United States had on the careers of four elite scientists before and after their emigration resulting from the threats of Nazism. This problem consisted of three distinct conceptual parts: (1) academic freedom, as a concept, (2) the political conventions of academic freedom within pre-World War II Germany and within pre- and World War II America, and (3) the effect that these definitions had on the careers of Albert Einstein, James Franck, Otto Meyerhof, and Otto Stern. The methodology that best suited this evaluation was the historical case study.;In Germany, I followed academic freedom\u27s evolution beginning with Humboldt\u27s work at the University of Berlin, continuing through to the Weimar Republic, and concluding with the National Socialists. In the United States, I traced academic freedom\u27s development from its classically-based roots, moving through the entrance of the German model, and closing with the impact of the American Association of University Professors.;Incumbent in this discussion was the effects that German nationalism, National Socialism, the Great Depression, communism, and anti-semitism had upon the evolution of academic freedom. I concluded that the nature and development of academic freedom was formed and directed by the constructs of and the constraints upon intellectual liberty. its politically-determined conventions influenced, both positively and negatively, the careers of four particular scientists.;More in-depth study is necessary to further evaluate the relationship between various governing bodies and the academic freedom of the Jewish professoriate. Additionally, insight into the degree and manner of influence of university presidents upon the careers of faculty is also needed

A Cultural Resources Survey in Advance of the CR 101 Ramp Construction Project, Brazoria County, Texas

In April 2006, Atkins North America, Inc. (Atkins, formerly PBS&J), archeologists conducted an intensive archeological survey with shovel testing and trenching at the intersection of County Road (CR) 101 and State Highway (SH) 288. The survey was conducted for access ramps and associated bridge construction proposed by McGuyer Homebuilders, Inc. The project is located on the west side of SH 288 beginning approximately 305 meters (1,000 feet) north of the SH 288/CR 101 intersection and terminating approximately 457 meters (1,500 feet) south of the same intersection. A bridge associated with the portion of the project crossing Mustang Bayou was also proposed. The project area (defined as the CR 101/SH 288 access ramps) lay entirely within existing Texas Department of Transportation right of way and subject to compliance under Section 106 of the National Historic Preservation Act and the Antiquities Code of Texas. The investigation was conducted under Texas Antiquities Permit No. 4110. Survey methodology was based on the recommendations of the Houston Potential Archeological Liability Map of the Texas Department of Transportation, and consisted of five shovel tests and two backhoe trenches. Approximately 2.23 acres were surveyed during this project. The survey located no cultural resources within the project area, and no artifacts were collected or curated. Based on the negative survey results, it was recommended that cultural resource consultations be considered complete for this project, and that the proposed construction be allowed to proceed without further archeological investigation. Project records will be curated at the Texas Archeological Research Laboratory at The University of Texas at Austin

Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals

Recent clinical studies show that the contour of the photoplethysmogram (PPG) wave contains valuable information for characterizing cardiovascular activity. However, analyzing the PPG wave contour is difficult; therefore, researchers have applied first or higher order derivatives to emphasize and conveniently quantify subtle changes in the filtered PPG contour. Our hypothesis is that analyzing the whole PPG recording rather than each PPG wave contour or on a beat-by-beat basis can detect heat-stressed subjects and that, consequently, we will be able to investigate the impact of global warming on human health. Here, we explore the most suitable derivative order for heat stress assessment based on the energy and entropy of the whole PPG recording. The results of our study indicate that the use of the entropy of the seventh derivative of the filtered PPG signal shows promising results in detecting heat stress using 20-second recordings, with an overall accuracy of 71.6%. Moreover, the combination of the entropy of the seventh derivative of the filtered PPG signal with the root mean square of successive differences, or RMSSD (a traditional heart rate variability index of heat stress), improved the detection of heat stress to 88.9% accuracy

Commissioning ShARCS: the Shane Adaptive optics infraRed Camera-Spectrograph for the Lick Observatory 3-m telescope

We describe the design and first-light early science performance of the Shane Adaptive optics infraRed Camera-Spectrograph (ShARCS) on Lick Observatory's 3-m Shane telescope. Designed to work with the new ShaneAO adaptive optics system, ShARCS is capable of high-efficiency, diffraction-limited imaging and low-dispersion grism spectroscopy in J, H, and K-bands. ShARCS uses a HAWAII-2RG infrared detector, giving high quantum efficiency (>80%) and Nyquist sampling the diffraction limit in all three wavelength bands. The ShARCS instrument is also equipped for linear polarimetry and is sensitive down to 650 nm to support future visible-light adaptive optics capability. We report on the early science data taken during commissioning.Comment: 9 pages, 7 figures. Presented at SPIE Astronomical Telescopes + Instrumentation conference, paper 9148-11

Variability of the innate immune response is globally constrained by transcriptional bursting

Transcription of almost all mammalian genes occurs in stochastic bursts, however the fundamental control mechanisms that allow appropriate single-cell responses remain unresolved. Here we utilise single cell genomics data and stochastic models of transcription to perform global analysis of the toll-like receptor (TLR)-induced gene expression variability. Based on analysis of more than 2000 TLR-response genes across multiple experimental conditions we demonstrate that the single-cell, gene-by-gene expression variability can be empirically described by a linear function of the population mean. We show that response heterogeneity of individual genes can be characterised by the slope of the mean-variance line, which captures how cells respond to stimulus and provides insight into evolutionary differences between species. We further demonstrate that linear relationships theoretically determine the underlying transcriptional bursting kinetics, revealing different regulatory modes of TLR response heterogeneity. Stochastic modelling of temporal scRNA-seq count distributions demonstrates that increased response variability is associated with larger and more frequent transcriptional bursts, which emerge via increased complexity of transcriptional regulatory networks between genes and different species. Overall, we provide a methodology relying on inference of empirical mean-variance relationships from single cell data and new insights into control of innate immune response variability

Systolic peak detection in acceleration photoplethysmograms measured from emergency responders in tropical conditions

Abstract Photoplethysmogram (PPG) monitoring is not only essential for critically ill patients in hospitals or at home, but also for those undergoing exercise testing. However, processing PPG signals measured after exercise is challenging, especially if the environment is hot and humid. In this paper, we propose a novel algorithm that can detect systolic peaks under challenging conditions, as in the case of emergency responders in tropical conditions. Accurate systolic-peak detection is an important first step for the analysis of heart rate variability. Algorithms based on local maxima-minima, first-derivative, and slope sum are evaluated, and a new algorithm is introduced to improve the detection rate. With 40 healthy subjects, the new algorithm demonstrates the highest overall detection accuracy (99.84% sensitivity, 99.89% positive predictivity). Existing algorithms, such as Billauer's, Li's and Zong's, have comparable although lower accuracy. However, the proposed algorithm presents an advantage for real-time applications by avoiding human intervention in threshold determination. For best performance, we show that a combination of two event-related moving averages with an offset threshold has an advantage in detecting systolic peaks, even in heat-stressed PPG signals

Evaluating a Prioritization Framework for Monitoring Chemicals of Emerging Concern in the Salish Sea Based on Lessons Learned from Western States Programs

We are now approaching a tipping point where priority pollutants may no longer be the primary driver of environmental impairment. Contaminants of Emerging Concern (CECs) present a challenge to environmental monitoring and management programs because the rapidly emerging state of the knowledge requires an adaptive and transparent prioritization framework. The state of the science, treatment technologies, and regulatory policies are not well understood, CEC quantification is challenging and expensive, and the management approach is not simply a concentration based criteria, but may include biological end-points. The need for a shared responsibility and leveraging across many programs was evaluated through a series of webinars with other programs studying CECs including Columbia River Toxics Program, Washington Department of Ecology, Oregon Department of Environmental Quality, Southern California Coastal Waters Research Project, and San Francisco Bay Regional Monitoring Program. The lessons learned were articulated into a 10-step prioritization framework. The critical lesson learned included: 1) Develop clear objectives, definitions of CECs, and target audience; 2) Identify conceptual models to provide a clear target for the appropriate media to monitor for various chemicals and at what frequency; 3) Define the chemical characteristics in terms of usage, persistence, bioaccumulation, and toxicity; 4) Develop a target CEC analyte list; 5) Screen and rank the CEC analyte list based on chemical characteristics, environmental concentrations, and state of the science; 6) Create a transparent prioritization process to include input from key stakeholders and end users that builds consensus during development; 7) Prioritize the chemical categories by using specific metrics such as available data, status of analytical methods, available thresholds, costs, programmatic concerns and opportunities for leveraging with other programs; 8) Identify potential biological end-points and other indicators; 9) Create a formal review process to support data and knowledge sharing, adaptively manage prioritization to include new science and critical research gaps; and 10) Develop a working group to facilitate leveraging of funds across many programs

Evaluating the impact of Relative Total Dose Intensity (RTDI) on patients' short and long-term outcome in taxane- and anthracycline-based chemotherapy of metastatic breast cancer- a pooled analysis

Background: Chemotherapy dose delay and/or reduction lower relative total dose intensity (RTDI) and may affect short- and long-term outcome of metastatic breast cancer (MBC) patients. Methods: Based on 933 individual patients' data of from 3 randomized MBC trials using an anthracycline and taxane we examined the impact of RTDI on efficacy and determined the lowest optimal RTDI for MBC patients. Results: Median time to disease progression (TTDP) and overall survival (OS) of all patients were 39 and 98 weeks. Overall higher RTDI was correlated with a shorter TTDP (log-rank p = 0.0525 for 85% RTDI cut-off). Proportional hazards assumption was violated, there was an early drop in the TTDP-curve for the high RTDI group. It was explained by the fact that patients with primary disease progression (PDP) do have a high RTDI per definition. Excluding those 114 patients with PDP the negative correlation between RTDI and TTDP vanished. However, non-PDP patients with RTDI-cut-off levels <85% showed a shorter OS than patients with higher RTDI levels (p = 0.0086). Conclusions: Optimizing RTDI above 85% appears to improve long-term outcome of MBC patients receiving first-line chemotherapy. Lowering RTDI had no negative influence on short term outcome like OR and TTDP

Impacts of climate change on plant diseases – opinions and trends

There has been a remarkable scientific output on the topic of how climate change is likely to affect plant diseases in the coming decades. This review addresses the need for review of this burgeoning literature by summarizing opinions of previous reviews and trends in recent studies on the impacts of climate change on plant health. Sudden Oak Death is used as an introductory case study: Californian forests could become even more susceptible to this emerging plant disease, if spring precipitations will be accompanied by warmer temperatures, although climate shifts may also affect the current synchronicity between host cambium activity and pathogen colonization rate. A summary of observed and predicted climate changes, as well as of direct effects of climate change on pathosystems, is provided. Prediction and management of climate change effects on plant health are complicated by indirect effects and the interactions with global change drivers. Uncertainty in models of plant disease development under climate change calls for a diversity of management strategies, from more participatory approaches to interdisciplinary science. Involvement of stakeholders and scientists from outside plant pathology shows the importance of trade-offs, for example in the land-sharing vs. sparing debate. Further research is needed on climate change and plant health in mountain, boreal, Mediterranean and tropical regions, with multiple climate change factors and scenarios (including our responses to it, e.g. the assisted migration of plants), in relation to endophytes, viruses and mycorrhiza, using long-term and large-scale datasets and considering various plant disease control methods