The Next Wave: Federal Regulatory, Intellectual Property, and Tort Liability Considerations for Medical Device Software, 2 J. Marshall Rev. Intell. Prop. L. 259 (2003)

Counsel for the medical software technologist faces an unusually complex, ongoing, high-stakes challenge. Counsel operates in a special field of commercial, legal and regulatory forces: (1) intellectual property laws which govern the expression and protection of commercial rights derived from advances in medical science and technology; (2) existing and proposed contracts/warranty laws that govern technological commercial relationships; (3) negligence, professional liability, and product liability laws that govern the marketing of medical technologies; and, (4) a new body of regulation derived from the power of the federal government to indirectly provide for the safety, effectiveness, privacy, and security of medical technologies offered to the American public. Against that backdrop, the author provides an illustration of the commercialization of a new medical software technology and suggests a general approach to resolving the primary issues facing the medical software technologist

A simple Bayesian estimate of direct RNAi gene regulation events from differential gene expression profiles.

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.BACKGROUND: Microarrays are commonly used to investigate both the therapeutic potential and functional effects of RNA interfering (RNAi) oligonucleotides such as microRNA (miRNA) and small interfering RNA (siRNA). However, the resulting datasets are often challenging to interpret as they include extensive information relating to both indirect transcription effects and off-target interference events. METHOD: In an attempt to refine the utility of microarray expression data when evaluating the direct transcriptional affects of an RNAi agent we have developed SBSE (Simple Bayesian Seed Estimate). The key assumption implemented in SBSE is that both direct regulation of transcription by miRNA, and siRNA off-target interference, can be estimated using the differential distribution of an RNAi sequence (seed) motif in a ranked 3' untranslated region (3' UTR) sequence repository. SBSE uses common microarray summary statistics (i.e. fold change) and a simple Bayesian analysis to estimate how the RNAi agent dictated the observed differential expression profile. On completion a trace of the estimate and the location of the optimal partitioning of the dataset are plotted within a simple graphical representation of the 3'UTR landscape. The combined estimates define the differential distribution of the query motif within the dataset and by inference are used to quantify the magnitude of the direct RNAi transcription effect. RESULTS: SBSE has been evaluated using five diverse human RNAi microarray focused investigations. In each instance SBSE unambiguously identified the most likely location of the direct RNAi effects for each of the differential gene expression profiles. CONCLUSION: These analyses indicate that miRNA with conserved seed regions may share minimal biological activity and that SBSE can be used to differentiate siRNAs of similar efficacy but with different off-target signalling potential.Peer Reviewe

Effects of quantized fields on the spacetime geometries of static spherically symmetric black holes

Analytic approximations for the stress-energy of quantized fields in the Hartle-Hawking state in static black hole spacetimes predict divergences on the event horizon of the black hole for a number of important cases. Such divergences, if real, could substantially alter the spacetime geometry near the event horizon, possibly preventing the black hole from existing. The results of three investigations of these types of effects are presented. The first involves a new analytic approximation for conformally invariant fields in Reissner-Nordstrom spacetimes which is finite on the horizon. The second focuses on the stress-energy of massless scalar fields in Schwarzschild-de Sitter black holes. The third focuses on the stress-energy of massless scalar fields in zero temperature black hole geometries that could be solutions to the semiclassical backreaction equations near the event horizon of the black hole.Comment: 5 pages. To appear in the "Proceedings of the Eleventh Marcel Grossmann Meeting on General Relativity", July 2006, Berlin, German

Measured Peak Equipment Loads in Laboratories

This technical bulletin documents measured peak equipment load data from 39 laboratory spaces in nine buildings across five institutions. The purpose of these measurements was to obtain data on the actual peak loads in laboratories, which can be used to rightsize the design of HVAC systems in new laboratories. While any given laboratory may have unique loads and other design considerations, these results may be used as a 'sanity check' for design assumptions

Interactive Accessibility for the Visually Impaired

To help those visitors with visual impairments access the experiences and content presented in the light area in Launch Pad (a hands-on gallery at the Science Museum London), two exhibit extensions were developed. Exhibit extensions are tools that allow visitors to interact with the phenomena of an exhibit on a personal level. These exhibit extensions dealt with the reflective abilities of light and the color spectrum of light, and allow visually impaired visitors to conceptualize the scientific principles involved through tactile and auditory means. The extensions also bridge the gap in the understanding between those who experience visual phenomena and those whose sight is limited. The design of the exhibits was supported by research into techniques for educating the visually impaired

Continuous health monitoring using smartphones-A case-study for monitoring diabetic patients in UAE

© 2016 IEEE. With diabetes patients doubling every year especially in the UAE there is a need to curb this epidemic and help those who are affected to live an active life. Continuous monitoring of health indicators ensures prompt medical attention and reduction in fatalities. The primary challenge to continuously monitor diabetes is that glucose level measurement requires invasive methods. Moreover, continuous monitoring must happen remotely and therefore would require computing and networking technologies that is seamless, real-Time, high speed, and with large storage capacities. With the increasing penetration of smartphones, especially in the UAE, we propose a framework for continuous monitoring of diabetes on the smartphone platform. We also survey the state-of-The-Art in continuous health monitoring

Psychological Injuries at Work - What Every Manager Should Know

A psychological injury is a diagnosable illness that affects a person’s thinking, emotional state and behavior. It can disrupt their ability to work and carry out other daily activities, and to engage in satisfying personal relationships. Unlike a physical injury, a psychological injury cannot be easily recognized and understood. This research document is a conceptual work, which tries to define and isolate stress and stress related injuries, as well as psychological injuries at work. Such an understanding would help the top management to cater and prevent injuries of such extent. Based on literature, a model has been developed for the study and the research document has defined “Psychological injury as an employee’s explicit manifestation of distress in the form of affective behavioral and cognitive dysfunction in work context”. This research document can be considered a seminal work done in Indian context. This works gains importance in the light of increasing number of lawsuits in Indian courts on work- related stress and agony. India still does not have any laws that deal with emotional health and stress related injuries at work or psychological injuries as compared to other countries like Canada, U.K and the U.

Gaze cueing and affective judgments of objects: I like what you look at

When we see another person look somewhere, we automatically attend to the same location in space. This joint attention emerges early in life and has a great impact on social interactions in development and in everyday adult life. The direction of another's gaze indicates what object is of current interest, which may be the target for a subsequent action. In this study, we found that objects that are looked at by other people are liked more than objects that do not receive the attention of other people (Experiment 1). This suggests that observing averted gaze can have an impact on the affective appraisals of objects in the environment. This liking effect was absent when an arrow was used to cue attention (Experiment 2). This underlines the importance of other people's interactions with objects for generating our own impressions of such stimuli in the world

Study of candidate Be stars in the Magellanic Clouds using near-infrared photometry and optical spectroscopy

Mennickent et al. and Sabogal et al. identified a large number of classical Be (CBe) candidates (∼3500) in the Large and Small Magellanic Clouds (LMC and SMC) based on their photometric variability using the OGLE II data base. They classified these stars into four different groups based on the appearance of their variability. In order to refine and understand the nature of this large number of stars, we studied the infrared properties of the sample and the spectroscopic properties of a subsample. We cross‐correlated the optical sample with the IRSF‐MCPS catalogue to obtain the J, H, Ks magnitudes of all the four types of stars (∼2500) in the LMC and SMC. Spectra of 120 stars belonging to the types 1, 2 and 3 were analysed to study their spectral properties. Among the four types, the type 4 stars are the dominant group, with ∼60 and ∼65 per cent of the total sample in the LMC and SMC, respectively. The near‐infrared (NIR) colour–colour diagrams suggest that the type 4 stars in the LMC have a subclass, which is not found in our Galaxy or in the SMC. This subclass is ∼18 per cent of the type 4 sample. The main type 4 sample which is ∼49 per cent of the total sample has NIR properties similar to the Galactic CBe stars and the SMC type 4 stars. Though the new subclass of type 4 stars have high E(B−V) ∼ 0.75, they are not located close to regions with high reddening. The type 3 stars (∼6 per cent and 7.3 per cent in the LMC and SMC) are found to have large Hα equivalent width (EW) in the SMC and some are found to have large NIR excess. This small fraction of stars are unlikely to be CBe stars. Three stars among the type 3 stars in the LMC are found to be double periodic variables. The type 2 stars are found in larger fraction in the SMC (∼14.5 per cent), when compared to the LMC (∼6 per cent). The spectroscopic and the NIR properties suggest that these could be CBe stars. The type 1 stars are relatively more in the LMC (∼24 per cent) when compared to the SMC (∼13 per cent). The SMC type 1 stars have relatively large Hα EW and this class has properties similar to CBe stars. The spectroscopic sample of type 1 stars which show Hα in emission and are confirmed as CBe stars are more abundant in the SMC by a factor of 2.6. If the effect of metallicity is to cause more CBe stars in the SMC, when compared to the LMC, then type 1, type 2 and type 4 stars follow this rule, with an enhancement of 2.6, 2.4 and 1.3, respectively

An Improved Analysis of Forest Carbon Dynamics using Data Assimilation

There are two broad approaches to quantifying landscape C dynamics - by measuring changes in C stocks over time, or by measuring fluxes of C directly. However, these data may be patchy, and have gaps or biases. An alternative approach to generating C budgets has been to use process-based models, constructed to simulate the key processes involved in C exchange. However, the process of model building is arguably subjective, and parameters may be poorly defined. This paper demonstrates why data assimilation (DA) techniques - which combine stock and flux observations with a dynamic model - improve estimates of, and provide insights into, ecosystem carbon (C) exchanges. We use an ensemble Kalman filter (EnKF) to link a series of measurements with a simple box model of C transformations. Measurements were collected at a young ponderosa pine stand in central Oregon over a 3-year period, and include eddy flux and soil C02 efflux data, litterfall collections, stem surveys, root and soil cores, and leaf area index data. The simple C model is a mass balance model with nine unknown parameters, tracking changes in C storage among five pools; foliar, wood and fine root pools in vegetation, and also fresh litter and soil organic matter (SOM) plus coarse woody debris pools. We nested the EnKF within an optimization routine to generate estimates from the data of the unknown parameters and the five initial conditions for the pools. The efficacy of the DA process can be judged by comparing the probability distributions of estimates produced with the EnKF analysis vs. those produced with reduced data or model alone. Using the model alone, estimated net ecosystem exchange of C (NEE)= -251 f 197g Cm-2 over the 3 years, compared with an estimate of -419 f 29gCm-2 when all observations were assimilated into the model. The uncertainty on daily measurements of NEE via eddy fluxes was estimated at 0.5gCm-2 day-1, but the uncertainty on assimilated estimates averaged 0.47 g Cm-2 day-1, and only exceeded 0.5gC m-2 day-1 on days where neither eddy flux nor soil efflux data were available. In generating C budgets, the assimilation process reduced the uncertainties associated with using data or model alone and the forecasts of NEE were statistically unbiased estimates. The results of the analysis emphasize the importance of time series as constraints. Occasional, rare measurements of stocks have limited use in constraining the estimates of other components of the C cycle. Long time series are particularly crucial for improving the analysis of pools with long time constants, such as SOM, woody biomass, and woody debris. Long-running forest stem surveys, and tree ring data, offer a rich resource that could be assimilated to provide an important constraint on C cycling of slow pools. For extending estimates of NEE across regions, DA can play a further important role, by assimilating remote-sensing data into the analysis of C cycles. We show, via sensitivity analysis, how assimilating an estimate of photosynthesis - which might be provided indirectly by remotely sensed data - improves the analysis of NEE