Data Mining and Privacy: An Initial Attempt at a Comprehensive Code of Conduct for Online Business

The prevalence of data mining by businesses and government organizations raises concerns among many individuals about the privacy of their personal data. We address this issue by offering a different perspective that reconciles the conflicting desires of businesses and consumers. We describe privacy, data mining, and their interaction in the larger context, identify the costs and benefits of the uses of data mining, and discuss potential stakeholders found at the intersection of the two subjects. To help synthesize our proposed code of ethical conduct, we examine existing codes of conduct and how they relate to the issue of privacy in the context of data mining with people, processes, and technology. Showing that a uniform code of ethical conduct for online privacy is feasible from both a managerial and ethical perspective, we provide an initial philosophical and principle synthesis that businesses and organizations can tailor for their own specific customers and needs. The developed code of ethical conduct respects consumers’ desire for privacy while allowing businesses to use data mining techniques to elicit information that benefits both the business and the consumer

Advancing College Food Security: Priority Research Gaps

Despite over a decade of both quantitative and qualitative studies, food insecurity among United States college/university students remains a pervasive problem within higher education. The purpose of this perspective piece was to highlight research gaps in the area of college food insecurity and provide rationale for the research community to focus on these gaps going forward. A group of food insecurity researchers from a variety of higher education institutions across the United States identified five thematic areas of research gaps: screening and estimates of food insecurity; longitudinal changes in food insecurity; impact of food insecurity on broader health and academic outcomes; evaluation of impact, sustainability, and cost effectiveness of existing programs and initiatives; and state and federal policies and programs. Within these thematic areas, 19 specific research gaps were identified that have limited or no peer-reviewed, published research. These research gaps result in a limited understanding of the magnitude, severity, and persistence of college food insecurity, the negative short- and long-term impacts of food insecurity on health, academic performance, and overall college experience, and effective solutions and policies to prevent or meaningfully address food insecurity among college students. Research in these identified priority areas may help accelerate action and interdisciplinary collaboration to alleviate food insecurity among college students and play a critical role in informing the development or refinement of programs and services that better support college student food security needs

Advancing college food security: priority research gaps

Despite over a decade of both quantitative and qualitative studies, food insecurity among US college/university students remains a pervasive problem within higher education. The purpose of this perspective piece was to highlight research gaps in the area of college food insecurity and provide rationale for the research community to focus on these gaps going forward. A group of food insecurity researchers from a variety of higher education institutions across the United States identified five thematic areas of research gaps: screening and estimates of food insecurity; longitudinal changes in food insecurity; impact of food insecurity on broader health and academic outcomes; evaluation of impact, sustainability and cost effectiveness of existing programmes and initiatives; and state and federal policies and programmes. Within these thematic areas, nineteen specific research gaps were identified that have limited or no peer-reviewed, published research. These research gaps result in a limited understanding of the magnitude, severity and persistence of college food insecurity, the negative short- and long-term impacts of food insecurity on health, academic performance and overall college experience, and effective solutions and policies to prevent or meaningfully address food insecurity among college students. Research in these identified priority areas may help accelerate action and interdisciplinary collaboration to alleviate food insecurity among college students and play a critical role in informing the development or refinement of programmes and services that better support college student food security needs

Marine mammal skin microbiotas are influenced by host phylogeny

© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Apprill, A., Miller, C. A., Van Cise, A. M., U'Ren, J. M., Leslie, M. S., Weber, L., Baird, R. W., Robbins, J., Landry, S., Bogomolni, A., & Waring, G. Marine mammal skin microbiotas are influenced by host phylogeny. Royal Society Open Science, 7(5), (2020): 192046, doi:10.1098/rsos.192046.Skin-associated microorganisms have been shown to play a role in immune function and disease of humans, but are understudied in marine mammals, a diverse animal group that serve as sentinels of ocean health. We examined the microbiota associated with 75 epidermal samples opportunistically collected from nine species within four marine mammal families, including: Balaenopteridae (sei and fin whales), Phocidae (harbour seal), Physeteridae (sperm whales) and Delphinidae (bottlenose dolphins, pantropical spotted dolphins, rough-toothed dolphins, short-finned pilot whales and melon-headed whales). The skin was sampled from free-ranging animals in Hawai‘i (Pacific Ocean) and off the east coast of the United States (Atlantic Ocean), and the composition of the bacterial community was examined using the sequencing of partial small subunit (SSU) ribosomal RNA genes. Skin microbiotas were significantly different among host species and taxonomic families, and microbial community distance was positively correlated with mitochondrial-based host genetic divergence. The oceanic location could play a role in skin microbiota variation, but skin from species sampled in both locations is necessary to determine this influence. These data suggest that a phylosymbiotic relationship may exist between microbiota and their marine mammal hosts, potentially providing specific health and immune-related functions that contribute to the success of these animals in diverse ocean ecosystems.Funding provided by the Earth Microbiome Project, WHOI Marine Mammal Center, WHOI Ocean Life Institute and WHOI's Andrew W. Mellon Foundation Endowed Fund for Innovative Research to A.A. Hawai‘i sampling was undertaken during field projects funded by grants from ONR (N000141310648 to R.W.B, N000141110612 to T.A. Mooney and N00014101686 to R.D. Andrews) and NMFS (NA13OAR4540212 to R.W.B)

Processing Images from the Zwicky Transient Facility

The Zwicky Transient Facility is a new robotic-observing program, in which a newly engineered 600-MP digital camera with a pioneeringly large field of view, 47~square degrees, will be installed into the 48-inch Samuel Oschin Telescope at the Palomar Observatory. The camera will generate $\sim 1$~petabyte of raw image data over three years of operations. In parallel related work, new hardware and software systems are being developed to process these data in real time and build a long-term archive for the processed products. The first public release of archived products is planned for early 2019, which will include processed images and astronomical-source catalogs of the northern sky in the $g$ and $r$ bands. Source catalogs based on two different methods will be generated for the archive: aperture photometry and point-spread-function fitting.Comment: 6 pages, 4 figures, submitted to RTSRE Proceedings (www.rtsre.org

DNA Molecule Classification Using Feature Primitives

BACKGROUND: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent classification performance for five different DNA hairpins that differ in only one base-pair. For multi-class DNA classification problems, practitioners usually adopt approaches that use decision trees consisting of binary classifiers. Finding the best tree topology requires exploring all possible tree topologies and is computationally prohibitive. We propose a computational framework based on feature primitives that eliminates the need of a decision tree of binary classifiers. In the first phase, we generate a pool of weak features from nanopore blockade current measurements by using HMM analysis, principal component analysis and various wavelet filters. In the next phase, feature selection is performed using AdaBoost. AdaBoost provides an ensemble of weak learners of various types learned from feature primitives. RESULTS AND CONCLUSION: We show that our technique, despite its inherent simplicity, provides a performance comparable to recent multi-class DNA molecule classification results. Unlike the approach presented by Winters-Hilt et al., where weaker data is dropped to obtain better classification, the proposed approach provides comparable classification accuracy without any need for rejection of weak data. A weakness of this approach, on the other hand, is the very "hands-on" tuning and feature selection that is required to obtain good generalization. Simply put, this method obtains a more informed set of features and provides better results for that reason. The strength of this approach appears to be in its ability to identify strong features, an area where further results are actively being sought

Comparison of Pressure Profiles of Massive Relaxed Galaxy Clusters using Sunyaev-Zel'dovich and X-ray Data

We present Sunyaev-Zel'dovich (SZ) effect observations of a sample of 25 massive relaxed galaxy clusters observed with the Sunyaev-Zel'dovich Array (SZA), an 8-element interferometer that is part of the Combined Array for Research in Millimeter-wave Astronomy (CARMA). We perform an analysis of new SZA data and archival Chandra observations of this sample to investigate the integrated pressure -- a proxy for cluster mass -- determined from X-ray and SZ observations, two independent probes of the intra-cluster medium. This analysis makes use of a model for the intra-cluster medium introduced by Bulbul (2010) which can be applied simultaneously to SZ and X-ray data. With this model, we estimate the pressure profile for each cluster using a joint analysis of the SZ and X-ray data, and using the SZ data alone. We find that the integrated pressures measured from X-ray and SZ data are consistent. This conclusion is in agreement with recent results obtained using WMAP and Planck data, confirming that SZ and X-ray observations of massive clusters detect the same amount of thermal pressure from the intra-cluster medium. To test for possible biases introduced by our choice of model, we also fit the SZ data using the universal pressure profile proposed by Arnaud (2010), and find consistency between the two models out to r500 in the pressure profiles and integrated pressures.Comment: Accepted for New Journal of Physics, Focus Issue on Galaxy Cluster

TMEM27 Suppresses Tumor Development by Promoting Ret Ubiquitination, Positioning, and Degradation

The TMEM127 gene encodes a transmembrane protein of poorly known function that is mutated in pheochromocytomas, neural crest-derived tumors of adrenomedullary cells. Here, we report that, at single-nucleus resolution, TMEM127-mutant tumors share precursor cells and transcription regulatory elements with pheochromocytomas carrying mutations of the tyrosine kinase receptor RET. Additionally, TMEM127-mutant pheochromocytomas, human cells, and mouse knockout models of TMEM127 accumulate RET and increase its signaling. TMEM127 contributes to RET cellular positioning, trafficking, and lysosome-mediated degradation. Mechanistically, TMEM127 binds to RET and recruits the NEDD4 E3 ubiquitin ligase for RET ubiquitination and degradation via TMEM127 C-terminal PxxY motifs. Lastly, increased cell proliferation and tumor burden after TMEM127 loss can be reversed by selective RET inhibitors in vitro and in vivo. Our results define TMEM127 as a component of the ubiquitin system and identify aberrant RET stabilization as a likely mechanism through which TMEM127 loss-of-function mutations cause pheochromocytoma

Upper limits on the strength of periodic gravitational waves from PSR J1939+2134

The first science run of the LIGO and GEO gravitational wave detectors presented the opportunity to test methods of searching for gravitational waves from known pulsars. Here we present new direct upper limits on the strength of waves from the pulsar PSR J1939+2134 using two independent analysis methods, one in the frequency domain using frequentist statistics and one in the time domain using Bayesian inference. Both methods show that the strain amplitude at Earth from this pulsar is less than a few times $10^{-22}$.Comment: 7 pages, 1 figure, to appear in the Proceedings of the 5th Edoardo Amaldi Conference on Gravitational Waves, Tirrenia, Pisa, Italy, 6-11 July 200

Quantum state preparation and macroscopic entanglement in gravitational-wave detectors

Long-baseline laser-interferometer gravitational-wave detectors are operating at a factor of 10 (in amplitude) above the standard quantum limit (SQL) within a broad frequency band. Such a low classical noise budget has already allowed the creation of a controlled 2.7 kg macroscopic oscillator with an effective eigenfrequency of 150 Hz and an occupation number of 200. This result, along with the prospect for further improvements, heralds the new possibility of experimentally probing macroscopic quantum mechanics (MQM) - quantum mechanical behavior of objects in the realm of everyday experience - using gravitational-wave detectors. In this paper, we provide the mathematical foundation for the first step of a MQM experiment: the preparation of a macroscopic test mass into a nearly minimum-Heisenberg-limited Gaussian quantum state, which is possible if the interferometer's classical noise beats the SQL in a broad frequency band. Our formalism, based on Wiener filtering, allows a straightforward conversion from the classical noise budget of a laser interferometer, in terms of noise spectra, into the strategy for quantum state preparation, and the quality of the prepared state. Using this formalism, we consider how Gaussian entanglement can be built among two macroscopic test masses, and the performance of the planned Advanced LIGO interferometers in quantum-state preparation