4,043 research outputs found
Neuromodulation in neurogenic bladder.
While neuromodulation is a well-established treatment option for patients with non-neurogenic overactive bladder and urinary retention, its applicability to the neurogenic bladder population has only recently been examined more in depth. In this article we will discuss the outcomes, contraindications, and special considerations of sacral and percutaneous tibial nerve stimulation (PTNS) in patients with neurogenic lower urinary tract dysfunction
Skylab food system
A review of the Skylab food system requirements, package designs, and launch configurations was presented. In-flight anomalies were discussed, and between-mission changes in design were described. A discussion of support for Skylab 3 and Skylab 4 mission extensions and of new items launched on these missions is included
Ohio's beekeeping almanac
Previously published in 1979 as part of the monthly newsletter "Beekeeping Notes."The Almanac provides a map of Ohio with average temperatures,
expected rainfall amounts in the central portion of the state, a written
description of the climatic conditions, as well as what honey bee, plant and beekeeper activity is or should be taking place
An Idionomic Network Analysis of Psychological Processes and Outcomes
Background: Clinical psychology research emphasizing treatment packages targeted at DSM defined problems obscures individual differences and violates statistical assumptions regarding its applicability to individuals in the sample. An alternative approach maps the relationship between psychological processes and outcomes at the individual level before aggregating results. This study represents the first effort to undertake such an approach using a novel measure, the Process Based Assessment Tool (PBAT), that assesses functionally defined psychological processes linked to intervention and based on modern evolution science. Methods: Data on psychological variation, selection, and retention, domains of psychological distress, life satisfaction, and burnout, were collected twice daily for a 35day period using a smartphone application. These data were analyzed using the SGIMME statistical package to generate group, sub-group, and individual level network models.
Results: S-GIMME models successfully converged for all participants. Network models directed at each of 7 outcomes yielded interpretable subgroups. Elements of the PBAT reliably produced directed pathways impacting elements of psychological distress within the sample. 17 of 18 elements of the PBAT appear in final models which maximized directed pathways toward each of the 7 targeted outcomes.
Discussion: The PBAT demonstrated utility as a daily diary measure and reliably produced directed pathways impacting domains of psychological distress and well-being.
Subgroup formation demonstrated consistency across outcomes directed models.
Individual network models represent potential clinical utility
Focus Point Supersymmetry Redux
Recent results from Higgs boson and supersymmetry searches at the Large
Hadron Collider provide strong new motivations for supersymmetric theories with
heavy superpartners. We reconsider focus point supersymmetry (FP SUSY), in
which all squarks and sleptons may have multi-TeV masses without introducing
fine-tuning in the weak scale with respect to variations in the fundamental
SUSY-breaking parameters. We examine both FP SUSY and its familiar special
case, the FP region of mSUGRA/CMSSM, and show that they are beautifully
consistent with all particle, astroparticle, and cosmological data, including
Higgs boson mass limits, null results from SUSY searches, electric dipole
moments, b -> s gamma, B_s -> mu^+ mu^-, the thermal relic density of
neutralinos, and dark matter searches. The observed deviation of the muon's
anomalous magnetic moment from its standard model value may also be explained
in FP SUSY, although not in the FP region of mSUGRA/CMSSM. In light of recent
data, we advocate refined searches for FP SUSY and related scenarios with heavy
squarks and sleptons, and we present a simplified parameter space to aid such
analyses.Comment: v3: 20 pages, 20 figures, minor numerical error in relic density
calculation corrected, fixed contours in figure
Teaching Basic Probability In Undergraduate Statistics Or Management Science Courses
Standard textbooks in core Statistics and Management Science classes present various examples to introduce basic probability concepts to undergraduate business students. These include tossing of a coin, throwing a die, and examples of that nature. While these are good examples to introduce basic probability, we use improvised versions of Russian Roulette and found these to be very effective in communicating important concepts in probability to our business school students. We use these modified versions of Russian Roulette to communicate concepts such as dependent event, joint probabilities and the value of information using Bayes’ law. The students understand and enjoy these examples and the class participation has been higher than usual.
Teaching Learning Curves In An Undergraduate Economics Or Operations Management Course
Learning Curves has its roots in economics and behavioral psychology. Learning Curves theory has several business applications and is widely used in the industry. As faculty of Operations Management courses, we cover this topic in some depth in the classroom. In this paper, we present some of our teaching methods and material that have helped us in communicating the learning curves concept. The students have found these very helpful in grasping the concepts better. We present comparative charts that highlight the key differences among the three standard methods for learning curve calculations. Students find these comparative charts to be very helpful in understanding these methods and in choosing the least time-consuming method when a problem can be solved in more than one way – often important during a time based exam. Furthermore, we point out an error and an ambiguity in textbooks and also provide some insights into the formula method
Computational Thinking Concepts for Grade School
Early education has classically introduced reading, writing, and mathematics. Recent literature discusses the importance of adding “computational thinking” as a core ability that every child must learn. The goal is to develop students by making them equally comfortable with computational thinking as they are with other core areas of early education. Computational thinking does not come naturally and requires training and guidance. This paper argues for the inclusion of computational thinking in tandem with mathematics. As an example, the paper demonstrates spreadsheet applications that can be utilized concurrently with early mathematical concepts. It demonstrates that at this time, spreadsheets are the best medium for inculcating computational thinking but recognizes that advances in technology may favor other digital approaches in time
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