Anomaly detection for machine learning redshifts applied to SDSS galaxies

We present an analysis of anomaly detection for machine learning redshift estimation. Anomaly detection allows the removal of poor training examples, which can adversely influence redshift estimates. Anomalous training examples may be photometric galaxies with incorrect spectroscopic redshifts, or galaxies with one or more poorly measured photometric quantity. We select 2.5 million 'clean' SDSS DR12 galaxies with reliable spectroscopic redshifts, and 6730 'anomalous' galaxies with spectroscopic redshift measurements which are flagged as unreliable. We contaminate the clean base galaxy sample with galaxies with unreliable redshifts and attempt to recover the contaminating galaxies using the Elliptical Envelope technique. We then train four machine learning architectures for redshift analysis on both the contaminated sample and on the preprocessed 'anomaly-removed' sample and measure redshift statistics on a clean validation sample generated without any preprocessing. We find an improvement on all measured statistics of up to 80% when training on the anomaly removed sample as compared with training on the contaminated sample for each of the machine learning routines explored. We further describe a method to estimate the contamination fraction of a base data sample.Comment: 13 pages, 8 figures, 1 table, minor text updates to macth MNRAS accepted versio

PYRO-NN: Python Reconstruction Operators in Neural Networks

Purpose: Recently, several attempts were conducted to transfer deep learning to medical image reconstruction. An increasingly number of publications follow the concept of embedding the CT reconstruction as a known operator into a neural network. However, most of the approaches presented lack an efficient CT reconstruction framework fully integrated into deep learning environments. As a result, many approaches are forced to use workarounds for mathematically unambiguously solvable problems. Methods: PYRO-NN is a generalized framework to embed known operators into the prevalent deep learning framework Tensorflow. The current status includes state-of-the-art parallel-, fan- and cone-beam projectors and back-projectors accelerated with CUDA provided as Tensorflow layers. On top, the framework provides a high level Python API to conduct FBP and iterative reconstruction experiments with data from real CT systems. Results: The framework provides all necessary algorithms and tools to design end-to-end neural network pipelines with integrated CT reconstruction algorithms. The high level Python API allows a simple use of the layers as known from Tensorflow. To demonstrate the capabilities of the layers, the framework comes with three baseline experiments showing a cone-beam short scan FDK reconstruction, a CT reconstruction filter learning setup, and a TV regularized iterative reconstruction. All algorithms and tools are referenced to a scientific publication and are compared to existing non deep learning reconstruction frameworks. The framework is available as open-source software at \url{https://github.com/csyben/PYRO-NN}. Conclusions: PYRO-NN comes with the prevalent deep learning framework Tensorflow and allows to setup end-to-end trainable neural networks in the medical image reconstruction context. We believe that the framework will be a step towards reproducible researchComment: V1: Submitted to Medical Physics, 11 pages, 7 figure

Identifying And Improving Green Spaces On A College Campus: A Photovoice Study

Research suggests that a large percent of college students experience stress due to the demands of college life. Campus health professionals use a wide range of interventions to reduce student stress; however, the ability of green spaces on campuses to alleviate stress is often lacking in college health programs and related research. In this study, photovoice methodology was used to conduct a community-based participatory research project in order to identify and improve campus green spaces that students frequent for stress relief. Participants included 45 undergraduate students enrolled in an emotional health course. Students were instructed to take photos that addressed two open-ended questions: (1) What green spaces on campus do you visit to alleviate stress? (2) How could the green spaces on campus be improved for alleviating stress? Afterward, students analyzed and placed their photos into distinct themes. Results showed that students enjoyed green spaces that featured both man-made structures (e.g., swings, fountains, benches) and exclusively natural areas (e.g., magnolia trees, campus parks). Students indicated that campus areas in need of improvement for alleviating stress included trash cans, areas lacking landscaping, piles of cigarette butts, and a dilapidated campus tower. Spaces that helped alleviate stress and spaces that needed improvement were both reflective of Attention Restoration Theory. At the culmination of the project, the students shared their findings with the campus community at a photo exhibit. During the exhibit, students' voices were heard by campus administrators in positions of authority (e.g., chancellor, director of Facilities Operations, grounds crew supervisor)

Burn Injuries Caused By E-Cigarette Explosions: A Systematic Review Of Published Cases

E-cigarettes have the potential to cause burns from batteries that explode. Although e-cigarette explosion burns have been reported by the media (e.g. local online news, blogs), there is a need for a comprehensive review of published medical case reports regarding these injuries. CINAHL and PubMed were systematically searched using common terms regarding e-cigarettes (electronic cigarette, e-cigarette, vape, vaping, electronic nicotine delivery systems) in every combination with the term ‘explosion’. Peer-reviewed articles were included if they: were written in English, described case reports of burn injuries caused by e-cigarette explosions, and were published in any year. Cases were categorized by demographics, location of the e-cigarette explosion, burned body areas, types of burns, total body surface area of burns, the need for skin grafting, and the length of hospital stay. Thirty-one articles were included in the review and described 164 cases. Most patients (90%) were male and between 20 to 29 years old. In the majority of cases (65%), e-cigarettes exploded in pockets, compared to exploding in the face or hand. Common burned areas included the thigh, hand, genitals, and face. Burn severity was typically second-degree burns (35%) or a combination of second-degree and third-degree burns (20%). In all, 48 patients required skin grafting, with 19 reporting a median hospital stay of 5 days. This review has several implications, including the need for regulation of batteries, education regarding battery safety, and leveraging images of the severity of e-cigarette explosion burns to discourage the use of e-cigarettes

Student Experiences With Community-Based Enforcement Of A Smoke-Free University

A common approach to enforcing a university smoke-free policy is through “community-based” enforcement, in which the entire campus community is responsible for asking smokers in violation to abide by the policy. The purpose of the study was to explore university students’ experiences with this strategy of enforcing a smoke-free policy. A total of 43 undergraduate students were interviewed regarding their experiences and opinions of community enforcement. The interviews were transcribed and analyzed using phenomenological methods, in which six major themes emerged from the data: Fear (alarm that smokers might respond with verbal insults orphysical violence), Situational (enforcing the policy depended on violators’ distance, group settings, strangers vs. peers), Protect Image (not wanting to be viewed as annoying, judgmental, or offensive), Lack of Authority (feeling a lack of authority to enforce the smoking policy), Compassion (empathy that violators smoke due to physical/emotional needs), and Enforcer (willingness to confront a policy violator). These findings reflected previous studies regarding people’s fear to ask a smoker to extinguish a cigarette, feelings of a lack of authority, and so on. The study demonstrated that using only a community-based approach to enforcement may not be a realistic responsibility to impose on an entire campus community

The Reading Level Of Government And Voluntary Health Organization Smoking Cessation Websites: A Descriptive Analysis

Background: The U.S. Department of Health & Human Services (USDHHS) recommends that health material be written at or below a sixth-grade reading level to ensure readability. Purpose: The aim of this study was to investigate the readability of online smoking cessation materials from several government and voluntary health organizations. Methods: A purposive sample of publicly accessible governmental and voluntary health organization websites was selected. The readability of the websites’ smoking cessation information was estimated using the previously validated SMOG readability formula, which determined reading level by correlating the number of polysyllabic words. Results: Of the 55 websites included in the analysis, none had cessation information at the USDHHS’s recommended reading level. The material ranged in reading level from seventh grade to a third year in college. Discussion: The findings indicate that the online cessation materials need to be modified in order to reach recommended reading levels. Translation to Health Education Practice: This study can be of practical use to Health Educators when designing, modifying, and evaluating smoking cessation materials. Several free, online government resources are available to assist Health Educators in using simple, non-polysyllable words to ensure that smoking cessation materials are written at the recommended reading levels

Student, Faculty, And Staff Approval Of University Smoke/Tobacco-Free Policies: An Analysis Of Campus Newspaper Articles

Objective: To provide a nontraditional source of data to university policymakers regarding student, faculty, and staff approval of university smoke/tobacco-free policies, as published through campus newspaper articles. Methods: From January to April 2016, a total of 2523 articles were retrieved concerning campus smoking/tobacco at 4-year, public universities. Of these, 54 articles met the inclusion factors, which described 30 surveys about campus approval of tobacco-free policies and 24 surveys about smoke-free policies. Results: In all, the surveys included more than 130000 respondents. With the exception of 4 surveys, all reported that the most of the respondents approved a tobacco/smoke-free campus policy. Conclusions: Although the study had several limitations, the findings provide a synthesis from a nontraditional data source that is consistent with findings from the peer-reviewed literature, in which most of the students, faculty, and staff on university campuses approve of smoke/tobacco-free campus policies

Monitoring Outdoor Tobacco Policies Of Virginia Colleges: A Descriptive Analysis

Purpose: The purpose of this study was to monitor current outdoor tobacco policies of colleges within the state of Virginia. Methods: The tobacco policies of 2-year public colleges, 4-year public colleges, and 4-year private non-profit colleges in Virginia were located online. The policies were then categorized according to the types of tobacco products that were prohibited (Smoking Policies, Tobacco Policies, and E-cigarette Policies) and where those products were prohibited outdoors (No Policy, Entrance Policy, Perimeter Policy, Designated Smoking Areas Policy, All Grounds Policy). Findings: From a final sample of 62 college policies, 2 (3%) had No Policy, 29 (47%) had an Entrance Policy, 12 (19%) had a Perimeter Policy, 10 (16%) had a Designated Smoking Areas Policy, and 9 (15%) had an All Grounds Policy. Conclusions: The far majority of colleges do not meet national recommendations for outdoor tobacco policies. Practical implications and suggestions for future research are discussed in the article

Students At Risk Of Being Marked On By Peers Due To Alcohol Poisoning: An Exploratory Study

This study explored the behavior of bystanders at parties who use markers to draw on intoxicated college students who show symptoms of alcohol poisoning, rather than helping those students. Half (50%) of the study’s 111 students reported being at a party where an intoxicated college student was drawn on with markers while passed out. The most common sign of alcohol poisoning observed was that the person could not be roused (63%). The most common location of drawings was the face (89%) and common items drawn were genitals (59%) and profanity (45%). The personal and legal ramifications of this is discussed

Enforcement Of Smoke/Tobacco-Free Policies At Public Universities In The US

Objective: In this study, we examined how smoke/tobacco-free campuses are enforced at 4-year public universities in the United States. Methods: During September of 2016, smoke-free and tobacco-free policies of 4- year, public universities were located via the American Nonsmokers’ Rights Foundation and the College Navigator websites. Policies were categorized based upon those who were responsible for initially confronting policy violators, those who were responsible for receiving reports of policy violations, methods for reporting a violation, and the types of sanctions for violators. Results: Of 167 policies, most (62%) relied on the entire campus community (students, faculty, staff) to provide initial policy enforcement. The majority (59%) did not mention who would receive violation reports, only 15% included a detailed method for reporting a violation, and over one-third did not mention any sanctions for students, employees, or visitors. Conclusion: This study highlights the need for more specific and robust policy enforcement at smoke/tobacco-free universities