Language, Motor, and Cognitive Outcomes of Toddlers Who Were Born Preterm

Purpose: The purpose of this study was to examine the language, motor, and cognitive abilities of children born preterm in four categories: (a) healthy preterm infants, (b) infants of diabetic mothers, (c) infants with respiratory distress syndrome, and (d) infants with chronic lung disease when the children were 30 months, uncorrected age. Comorbidity of language, motor, and cognitive skills was examined, along with predictor variables. Method: A total of 148 children who were born preterm participated and were assessed using bivariate tests and logistic regression on standardized assessment scores. Results: Controlling for the children’s gestational age (GA), overall language ability was significantly lower in the infants of diabetic mothers group compared to the healthy preterm infant group, and expressive language skills were significantly lower for the chronic lung disease group than the respiratory distress syndrome group. The children with language delays on at least one measure were significantly more likely to have cognitive, motor, or both delays. Lower maternal education was a significant predictor for language and cognitive delays, and younger GA was a significant predictor for language, motor, and cognitive delays. Conclusion: Assessment of the preterm infant from a biosystems approach allows the speech-language pathologist to take into consideration maternal education, diagnosis at preterm birth, and GA, which were found to impact the language, motor, and cognitive outcomes of children born preterm. Our findings further reinforce the concept of the whole child in that children born preterm who display language delays should be screened for co-occurring motor and/or cognitive delays

Directed Trans-Differentiation of Thymus Cells into Parathyroid-Like Cells Without Genetic Manipulation

Replacement of a diseased organ with an autologously derived tissue is an ideal therapy for some medical problems. However, it is difficult to recreate many adult human tissues in vitro due to the functionally necessary architecture of most organs and the lack of understanding of methods to direct the development of the organ of interest. The parathyroid gland is ideal for in vitro organ development because this gland is relatively simple, is transplantable, and is commonly affected by a surgical complication rather than an autoimmune disease. We have investigated thymus as a source of autologous endoderm and parathyroid-like precursor cells. Human thymus cells were treated with a differentiation protocol we developed with human embryonic stem cells (The Bingham Protocol) that utilizes timed exposures to Activin A and soluble Sonic hedgehog (Shh). We incrementally changed the protocol to optimize the differentiation of the thymus cells into parathyroid-like cells. The final protocol used 50-ng/mL Activin A and 100-ng/mL Shh over 13 weeks. The differentiated cells expressed the parathyroid markers parathyroid hormone (PTH), calcium sensing receptor, chemokine receptor type-4 (CXCR4), and chorian-specific transcription factor (GCM2) as measured by reverse transcription-polymerase chain reaction and PTH enzyme-linked immunosorbent assay. Cultured thymus cells without Activin A or Shh exposure did not secrete PTH nor express similar markers. The differentiated cells released PTH, which was suppressed in response to increased calcium concentration. The chemically differentiated cells did not form tumors in immune-compromised mice. Our protocol recreated cells with markers of parathyroid tissue that responded as parathyroid cells to physiologic stimuli. This approach is a further step toward a strategy to restore parathyroid function using autologous cells that were directed to differentiate by nongenetic in vitro manipulation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90464/1/ten-2Etec-2E2011-2E0170.pd

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

Multi-class 3D object detection aims to localize and classify objects of multiple categories from point clouds. Due to the nature of point clouds, i.e. unstructured, sparse and noisy, some features benefit-ting multi-class discrimination are underexploited, such as shape information. In this paper, we propose a novel 3D shape signature to explore the shape information from point clouds. By incorporating operations of symmetry, convex hull and chebyshev fitting, the proposed shape sig-nature is not only compact and effective but also robust to the noise, which serves as a soft constraint to improve the feature capability of multi-class discrimination. Based on the proposed shape signature, we develop the shape signature networks (SSN) for 3D object detection, which consist of pyramid feature encoding part, shape-aware grouping heads and explicit shape encoding objective. Experiments show that the proposed method performs remarkably better than existing methods on two large-scale datasets. Furthermore, our shape signature can act as a plug-and-play component and ablation study shows its effectiveness and good scalabilityComment: Code is available at https://github.com/xinge008/SS

Zero-Shot Hashing via Transferring Supervised Knowledge

Hashing has shown its efficiency and effectiveness in facilitating large-scale multimedia applications. Supervised knowledge e.g. semantic labels or pair-wise relationship) associated to data is capable of significantly improving the quality of hash codes and hash functions. However, confronted with the rapid growth of newly-emerging concepts and multimedia data on the Web, existing supervised hashing approaches may easily suffer from the scarcity and validity of supervised information due to the expensive cost of manual labelling. In this paper, we propose a novel hashing scheme, termed \emph{zero-shot hashing} (ZSH), which compresses images of "unseen" categories to binary codes with hash functions learned from limited training data of "seen" categories. Specifically, we project independent data labels i.e. 0/1-form label vectors) into semantic embedding space, where semantic relationships among all the labels can be precisely characterized and thus seen supervised knowledge can be transferred to unseen classes. Moreover, in order to cope with the semantic shift problem, we rotate the embedded space to more suitably align the embedded semantics with the low-level visual feature space, thereby alleviating the influence of semantic gap. In the meantime, to exert positive effects on learning high-quality hash functions, we further propose to preserve local structural property and discrete nature in binary codes. Besides, we develop an efficient alternating algorithm to solve the ZSH model. Extensive experiments conducted on various real-life datasets show the superior zero-shot image retrieval performance of ZSH as compared to several state-of-the-art hashing methods.Comment: 11 page

Low-cost, Transportable Hydrogen Fueling Station for Early FCEV Adoption

Thousands of public hydrogen fueling stations are needed to support the early Fuel Cell Electric Vehicle (FCEV) market in the U.S.; there are currently 12. The California state government has been the largest investor of the hydrogen fueling infrastructure funding 9 permanent stations currently open to the public with 48 more in development costing anywhere from $1.8M-$5.5M each. To attract private investors and decrease dependence on government funding, a low-cost, mobile hydrogen dispensing system must be developed. This paper describes a transportable hydrogen fueling station that has been designed for $423,000 using off-the-shelf components, less than 23$9.62/kg. This paper presents the mechanical design and operation of the fueling station. A complete report including an economic analysis and safety features is available at: http://hydrogencontest.org/pdf/2014/WSU_2014_HEF_CONTEST.pdf

A reference relative time-scale as an alternative to chronological age for cohorts with long follow-up

Background: Epidemiologists have debated the appropriate time-scale for cohort survival studies; chronological age or time-on-study being two such time-scales. Importantly, assessment of risk factors may depend on the choice of time-scale. Recently, chronological or attained age has gained support but a case can be made for a ‘reference relative time-scale’ as an alternative which circumvents difficulties that arise with this and other scales. The reference relative time of an individual participant is the integral of a reference population hazard function between time of entry and time of exit of the individual. The objective here is to describe the reference relative time-scale, illustrate its use, make comparison with attained age by simulation and explain its relationship to modern and traditional epidemiologic methods. Results: A comparison was made between two models; a stratified Cox model with age as the time-scale versus an un-stratified Cox model using the reference relative time-scale. The illustrative comparison used a UK cohort of cotton workers, with differing ages at entry to the study, with accrual over a time period and with long follow-up. Additionally, exponential and Weibull models were fitted since the reference relative time-scale analysis need not be restricted to the Cox model. A simulation study showed that analysis using the reference relative time-scale and analysis using chronological age had very similar power to detect a significant risk factor and both were equally unbiased. Further, the analysis using the reference relative time-scale supported fully-parametric survival modelling and allowed percentile predictions and mortality curves to be constructed. Conclusions: The reference relative time-scale was a viable alternative to chronological age, led to simplification of the modelling process and possessed the defined features of a good time-scale as defined in reliability theory. The reference relative time-scale has several interpretations and provides a unifying concept that links contemporary approaches in survival and reliability analysis to the traditional epidemiologic methods of Poisson regression and standardised mortality ratios. The community of practitioners has not previously made this connection

Assessment of the Variability in Influenza A(H1N1) Vaccine Effectiveness Estimates Dependent on Outcome and Methodological Approach

Estimation of Influenza vaccine effectiveness (VE) varies with study design, clinical outcome 10 considered and statistical methodology used. By estimating VE using differing outcomes and 11 statistical methods on the same cohort of individuals the variability in the estimates produced can 12 be better understood. The Pandemic Influenza Primary Care Reporting (PIPeR) cohort of approximately 193,000 individuals 14 was used to estimate pandemic VE in Scotland during season 2009-10. VE results for three 15 outcomes; influenza related consultations, virological confirmed influenza and death were 16 considered. Use of individualised records allowed all models to be adjusted for age, sex, 17 deprivation, risk status relating to chronic illnesses, seasonal vaccination status and a marker of the 18 individual’s propensity to consult. For the consultation and death outcomes, VE was calculated by 19 comparing consultation rates in the unvaccinated and vaccinated groups, adjusted for the listed 20 factors, using both Cox and Poisson regression models. For the consultation outcome, the 21 unvaccinated group was split into individuals before vaccination and those never vaccinated to allow 22 for potential differences in the health seeking behaviour of these groups. For the virology outcome 23 estimates were calculated using a generalised additive logistic regression model. All models were 24 adjusted for time. Vaccine effect was demonstrated for the influenza-like illness consultation outcome using the Cox 26 model (VE=49% 95% CI (19%, 67%)) with lower estimates from the model splitting the before and 27 never vaccinated groups (VE=34.2% with 95% CI (-0.5%, 58.9%)). Vaccine effect was also illustrated 28 for overall mortality (VE=40% (95% CI 18%, 56%)) and a virological confirmed subset of symptomatic 29 individuals (VE=60% (95% CI -38%, 89%))

National Forest Timber Management Over the Past Decade

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75177/1/j.1541-0072.1995.tb01742.x.pd