A Constellation To Guide Us: An Interview With Lisa Janicke Hinchliffe About The Framework For Information Literacy For Higher Education

Purpose: The purpose of this paper was to ask Lisa Janicke Hinchliffe, Professor/Coordinator for Information Literacy Services and Instruction in the University Library at the University of Illinois at Urbana-Champaign, about her views regarding the Framework for Information Literacy for Higher Education. Design/methodology/approach: This is an interview. Findings: Hinchliffe believes that the Framework is one among many documents that academic librarians can and should use to promote information literacy. Research limitations/implications: Hinchliffe contradicts the opinion that the Framework and the Information Literacy Competency Standards for Higher Education could not have co-existed. Practical implications: Hinchliffe offers librarians practical advice for moving from a Standards-based to a Framework-based information literacy program. Originality/value: Hinchliffe concludes that the old ways of fostering information literacy do not need to be rejected to adopt new practices

Diffusion Tensor Imaging for Assessment of Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer.

In this study, the prognostic significance of tumor metrics derived from diffusion tensor imaging (DTI) was evaluated in patients with locally advanced breast cancer undergoing neoadjuvant therapy. DTI and contrast-enhanced magnetic resonance imaging were acquired at 1.5 T in 34 patients before treatment and after 3 cycles of taxane-based therapy (early treatment). Tumor fractional anisotropy (FA), principal eigenvalues (λ1, λ2, and λ3), and apparent diffusion coefficient (ADC) were estimated for tumor regions of interest drawn on DTI data. The association between DTI metrics and final tumor volume change was evaluated with Spearman rank correlation. DTI metrics were investigated as predictors of pathological complete response (pCR) by calculating the area under the receiver operating characteristic curve (AUC). Early changes in tumor FA and ADC significantly correlated with final tumor volume change post therapy (ρ = -0.38, P = .03 and ρ = -0.71, P < .001, respectively). Pretreatment tumor ADC was significantly lower in the pCR than in the non-pCR group (P = .04). At early treatment, patients with pCR had significantly higher percent changes of tumor λ1, λ2, λ3, and ADC than those without pCR. The AUCs for early percent changes in tumor FA and ADC were 0.60 and 0.83, respectively. The early percent changes in tumor eigenvalues and ADC were the strongest DTI-derived predictors of pCR. Although early percent change in tumor FA had a weak association with pCR, the significant correlation with final tumor volume change suggests that this metric changes with therapy and may merit further evaluation

A Demonstration of the Infrared Activity of Carbon Dioxide

Before they can talk meaningfully about anthropogenic climate change, students need to grasp basic principles of natural planetary climates, for example, the key role of trace atmospheric gases in setting surface temperature. We describe a dramatic demonstration that scales well for large audiences and that requires as little as ten classroom minutes to show the crucial difference between room air and carbon dioxide gas. Beyond its significance for public policy, the demonstration can serve as a springboard to motivate discussion of important physics concepts such as rotation and vibration spectra

Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis.

Radiomics is an emerging technology for imaging biomarker discovery and disease-specific personalized treatment management. This paper aims to determine the benefit of using multi-modality radiomics data from PET and MR images in the characterization breast cancer phenotype and prognosis. Eighty-four features were extracted from PET and MR images of 113 breast cancer patients. Unsupervised clustering based on PET and MRI radiomic features created three subgroups. These derived subgroups were statistically significantly associated with tumor grade (p = 2.0 × 10-6), tumor overall stage (p = 0.037), breast cancer subtypes (p = 0.0085), and disease recurrence status (p = 0.0053). The PET-derived first-order statistics and gray level co-occurrence matrix (GLCM) textural features were discriminative of breast cancer tumor grade, which was confirmed by the results of L2-regularization logistic regression (with repeated nested cross-validation) with an estimated area under the receiver operating characteristic curve (AUC) of 0.76 (95% confidence interval (CI) = [0.62, 0.83]). The results of ElasticNet logistic regression indicated that PET and MR radiomics distinguished recurrence-free survival, with a mean AUC of 0.75 (95% CI = [0.62, 0.88]) and 0.68 (95% CI = [0.58, 0.81]) for 1 and 2 years, respectively. The MRI-derived GLCM inverse difference moment normalized (IDMN) and the PET-derived GLCM cluster prominence were among the key features in the predictive models for recurrence-free survival. In conclusion, radiomic features from PET and MR images could be helpful in deciphering breast cancer phenotypes and may have potential as imaging biomarkers for prediction of breast cancer recurrence-free survival

Smooth Random Surfaces from Tight Immersions?

We investigate actions for dynamically triangulated random surfaces that consist of a gaussian or area term plus the {\it modulus} of the gaussian curvature and compare their behavior with both gaussian plus extrinsic curvature and ``Steiner'' actions.Comment: 7 page

An Effective Model for Crumpling in Two Dimensions?

We investigate the crumpling transition for a dynamically triangulated random surface embedded in two dimensions using an effective model in which the disordering effect of the $X$ variables on the correlations of the normals is replaced by a long-range ``antiferromagnetic'' term. We compare the results from a Monte Carlo simulation with those obtained for the standard action which retains the $X$'s and discuss the nature of the phase transition.Comment: 5 page

Folding of the Triangular Lattice with Quenched Random Bending Rigidity

We study the problem of folding of the regular triangular lattice in the presence of a quenched random bending rigidity + or - K and a magnetic field h (conjugate to the local normal vectors to the triangles). The randomness in the bending energy can be understood as arising from a prior marking of the lattice with quenched creases on which folds are favored. We consider three types of quenched randomness: (1) a ``physical'' randomness where the creases arise from some prior random folding; (2) a Mattis-like randomness where creases are domain walls of some quenched spin system; (3) an Edwards-Anderson-like randomness where the bending energy is + or - K at random independently on each bond. The corresponding (K,h) phase diagrams are determined in the hexagon approximation of the cluster variation method. Depending on the type of randomness, the system shows essentially different behaviors.Comment: uses harvmac (l), epsf, 17 figs included, uuencoded, tar compresse

Implementation of grip strength measurement in medicine for older people wards as part of routine admission assessment: identifying facilitators and barriers using a theory-led intervention.

BACKGROUND: Low grip strength in older inpatients is associated with poor healthcare outcomes including longer length of stay and mortality. Measuring grip strength is simple and inexpensive. However, it is not routinely used in clinical practice. We aimed to evaluate the implementation of grip strength measurement into routine clinical practice. METHODS: This implementation study was a mixed methods study based in five acute medical wards for older people in one UK hospital. Intervention design and implementation evaluation were based on Normalization Process Theory (NPT). A training program was developed and delivered to enable staff to measure grip strength and use a care plan for patients with low grip strength. Routine implementation and monitoring was assessed using the "implementation outcome variables" proposed by WHO: adoption, coverage, acceptability, fidelity, and costs analysis. Enablers and barriers of implementation were identified. RESULTS: One hundred fifty-five nursing staff were trained, 63% in just 3 weeks. Adoption and monthly coverage of grip strength measurement varied between 25 and 80% patients across wards. 81% of female patients and 75% of male patients assessed had low grip strength (< 27 kg for men and < 16 kg for women). Staff and patients found grip measurement easy, cheap and potentially beneficial in identifying high-risk patients. The total cost of implementation across five wards over 12 months was less than £2302. Using NPT, interviews identified enablers and barriers. Enablers included: highly motivated ward champions, managerial support, engagement strategies, shared commitment, and integration into staff and ward daily routines. Barriers included lack of managerial and staff support, and high turnover of staff, managers and champions. CONCLUSIONS: Training a large number of nurses to routinely implement grip strength measurement of older patients was feasible, acceptable and inexpensive. Champions' motivation, managerial support, and shared staff commitment were important for the uptake and normalisation of grip strength measurement. A high percentage of older patients were identified to be at risk of poor healthcare outcomes and would benefit from nutritional and exercise interventions. Measuring grip strength in these patients could provide an opportunity to identify those with normal grip strength for fast tracking through admission to discharge thereby reducing length of stay. TRIAL REGISTRATION: Clinicaltrials.gov NCTO2447445 . Registered May 18, 2015

Folding transitions of the triangular lattice with defects

A recently introduced model describing the folding of the triangular lattice is generalized allowing for defects in the lattice and written as an Ising model with nearest-neighbor and plaquette interactions on the honeycomb lattice. Its phase diagram is determined in the hexagon approximation of the cluster variation method and the crossover from the pure Ising to the pure folding model is investigated, obtaining a quite rich structure with several multicritical points. Our results are in very good agreement with the available exact ones and extend a previous transfer matrix study.Comment: 16 pages, latex, 5 postscript figure