End-to-end Learning, with or without Labels

We present an approach for end-to-end learning that allows one to jointly learn a feature representation from unlabeled data (with or without labeled data) and predict labels for unlabeled data. The feature representation is assumed to be specified in a differentiable programming framework, that is, as a parameterized mapping amenable to automatic differentiation. The proposed approach can be used with any amount of labeled and unlabeled data, gracefully adjusting to the amount of supervision. We provide experimental results illustrating the effectiveness of the approach

KSU Symphony Orchestra

The KSU Symphony Orchestra presents a special program featuring concerto performances by the three winners of this year\u27s Concerto Competition, plus Infinite Ascent by Erik Morales and Symphonic Metamorphosis by Paul Hindemith.https://digitalcommons.kennesaw.edu/musicprograms/1057/thumbnail.jp

A Kernel-Based Change Detection Method to Map Shifts in Phytoplankton Communities Measured by Flow Cytometry

1. Automated, ship-board flow cytometers provide high-resolution maps of phytoplankton composition over large swaths of the world\u27s oceans. They therefore pave the way for understanding how environmental conditions shape community structure. Identification of community changes along a cruise transect commonly segments the data into distinct regions. However, existing segmentation methods are generally not applicable to flow cytometry data, as these data are recorded as ‘point cloud’ data, with hundreds or thousands of particles measured during each time interval. Moreover, nonparametric segmentation methods that do not rely on prior knowledge of the number of species are desirable to map community shifts. 2. We present CytoSegmenter, a kernel-based change-point estimation method for segmenting point cloud data. Our method allows us to represent and summarize a point cloud of data points by a single element in a Hilbert space. The change-point locations can be found using a fast dynamic programming algorithm. 3. Through an analysis of 12 cruises, we demonstrate that CytoSegmenter allows us to locate abrupt changes in phytoplankton community structure. We show that the changes in community structure generally coincide with changes in the temperature and salinity of the ocean. We also illustrate how the main parameter of CytoSegmenter can be easily calibrated using limited auxiliary annotated data. 4. CytoSegmenter is generally applicable for segmenting series of point cloud data from any domain. Moreover, it readily scales to thousands of point clouds, each containing thousands of points. In the context of flow cytometry data collected during research cruises, it does not require prior clustering of particles to define taxa labels, eliminating a potential source of error. This represents an important advance in automating the analysis of large datasets now emerging in biological oceanography and other fields. It also allows for the approach to be applied during research cruises

First report on research needs for verification

Biases and spread in the estimates of each term of the global carbon budget challenge the robust detection of a trend in their central estimates, and moreover inhibit the attribution of a trend in atmospheric CO2 to anthropogenic emissions. We outline the key sources of bias and spread in each term of the global carbon budget, highlight examples of progress made in recent years and opportunities for further progress in the coming decades. Overall, we suggest that the capacity to verify changes in atmospheric CO2 on sub-decadal timescales will require concerted effort to incrementally address biases and uncertainties across all components of the budget

Municipal Solid Waste (MSW) to Liquid Fuels Synthesis, Volume 2: A Techno-economic Evaluation of the Production of Mixed Alcohols

Biomass is a renewable energy resource that can be converted into liquid fuel suitable for transportation applications and thus help meet the Energy Independence and Security Act renewable energy goals (U.S. Congress 2007). However, biomass is not always available in sufficient quantity at a price compatible with fuels production. Municipal solid waste (MSW) on the other hand is readily available in large quantities in some communities and is considered a partially renewable feedstock. Furthermore, MSW may be available for little or no cost. This report provides a techno-economic analysis of the production of mixed alcohols from MSW and compares it to the costs for a wood based plant. In this analysis, MSW is processed into refuse derived fuel (RDF) and then gasified in a plant co-located with a landfill. The resulting syngas is then catalytically converted to mixed alcohols. At a scale of 2000 metric tons per day of RDF, and using current technology, the minimum ethanol selling price at a 10% rate of return is approximately $1.85/gallon ethanol (early 2008$). However, favorable economics are dependent upon the toxicity characteristics of the waste streams and that a market exists for the by-product scrap metal recovered from the RDF process

Predicting the Activation States of the Muscles Governing Upper Esophageal Sphincter Relaxation and Opening

Copyright © 2016 the American Physiological SocietyThe swallowing muscles that influence upper esophageal sphincter (UES) opening are centrally controlled and modulated by sensory information. Activation and deactivation of neural inputs to these muscles, including the intrinsic cricopharyngeus (CP) and extrinsic submental (SM) muscles, results in their mechanical activation or deactivation, which changes the diameter of the lumen, alters the intraluminal pressure, and ultimately reduces or promotes flow of content. By measuring the changes in diameter, using intraluminal impedance, and the concurrent changes in intraluminal pressure, it is possible to determine when the muscles are passively or actively relaxing or contracting. From these “mechanical states” of the muscle, the neural inputs driving the specific motor behaviors of the UES can be inferred. In this study we compared predictions of UES mechanical states directly with the activity measured by electromyography (EMG). In eight subjects, pharyngeal pressure and impedance were recorded in parallel with CP- and SM-EMG activity. UES pressure and impedance swallow profiles correlated with the CP-EMG and SM-EMG recordings, respectively. Eight UES muscle states were determined by using the gradient of pressure and impedance with respect to time. Guided by the level and gradient change of EMG activity, mechanical states successfully predicted the activity of the CP muscle and SM muscle independently. Mechanical state predictions revealed patterns consistent with the known neural inputs activating the different muscles during swallowing. Derivation of “activation state” maps may allow better physiological and pathophysiological interpretations of UES function

Efficacy and Safety of Alirocumab as Add-on Therapy in High–Cardiovascular-Risk Patients With Hypercholesterolemia Not Adequately Controlled With Atorvastatin (20 or 40 mg) or Rosuvastatin (10 or 20 mg)::Design and Rationale of the ODYSSEY OPTIONS Studies

The phase 3 ODYSSEY OPTIONS studies (OPTIONS I, NCT01730040; OPTIONS II, NCT01730053) are multicenter, multinational, randomized, double-blind, active-comparator, 24-week studies evaluating the efficacy and safety of alirocumab, a fully human monoclonal antibody targeting proprotein convertase subtilisin/kexin type 9, as add-on therapy in ∼ 650 high-cardiovascular (CV)-risk patients whose low-density lipoprotein cholesterol (LDL-C) levels are ≥100 mg/dL or ≥70 mg/dL according to the CV-risk category, high and very high CV risk, respectively, with atorvastatin (20–40 mg/d) or rosuvastatin (10–20 mg/d). Patients are randomized to receive alirocumab 75 mg via a single, subcutaneous, 1-mL injection by prefilled pen every 2 weeks (Q2W) as add-on therapy to atorvastatin (20–40 mg) or rosuvastatin (10–20 mg); or to receive ezetimibe 10 mg/d as add-on therapy to statin; or to receive statin up-titration; or to switch from atorvastatin to rosuvastatin (OPTIONS I only). At week 12, based on week 8 LDL-C levels, the alirocumab dose may be increased from 75 mg to 150 mg Q2W if LDL-C levels remain ≥100 mg/dL or ≥70 mg/dL in patients with high or very high CV risk, respectively. The primary efficacy endpoint in both studies is difference in percent change in calculated LDL-C from baseline to week 24 in the alirocumab vs control arms. The studies may provide guidance to inform clinical decision-making when patients with CV risk require additional lipid-lowering therapy to further reduce LDL-C levels. The flexibility of the alirocumab dosing regimen allows for individualized therapy based on the degree of LDL-C reduction required to achieve the desired LDL-C level