Miracle-dz/UniFAR-FTUs huggingface dataset:
Auditing an organization's interprofessional learning and interprofessional practice: The interprofessional praxis audit framework (IPAF)

Interprofessional learning (IPL) and interprofessional practice (IPP) are strategies for healthcare services' striving to improve patient care. While health professionals are enacting IPL and IPP, the capacity to understand and comprehensively map IPL and IPP activities has remained elusive. Additionally, understanding and accounting for the impact of organizational context and culture on IPL and IPP requires attention. This paper presents the “interprofessional praxis audit framework” (IPAF), which is a unique tool to address these two issues. The IPAF comprises five components: context, culture, conduct, attitudes and information. Conjoined, the components facilitate examination of an organization's enactment of IPL and IPP. Utilized within an action research methodology, the IPAF enables a synchronized inspection, whereby similarities and differences of the components are considered simultaneously, and the knowledge developed is used to promote change projects to improve patient care.
Cellular Transcription Factors Induced in Trigeminal Ganglia during Dexamethasone-Induced Reactivation from Latency Stimulate Bovine Herpesvirus 1 Productive Infection and Certain Viral Promoters

ABSTRACT Bovine herpesvirus 1 (BHV-1), an alphaherpesvirinae subfamily member, establishes latency in sensory neurons. Elevated corticosteroid levels, due to stress, reproducibly triggers reactivation from latency in the field. A single intravenous injection of the synthetic corticosteroid dexamethasone (DEX) to latently infected calves consistently induces reactivation from latency. Lytic cycle viral gene expression is detected in sensory neurons within 6 h after DEX treatment of latently infected calves. These observations suggested that DEX stimulated expression of cellular genes leads to lytic cycle viral gene expression and productive infection. In this study, a commercially available assay—Bovine Gene Chip—was used to compare cellular gene expression in the trigeminal ganglia (TG) of calves latently infected with BHV-1 versus DEX-treated animals. Relative to TG prepared from latently infected calves, 11 cellular genes were induced more than 10-fold 3 h after DEX treatment. Pentraxin three, a regulator of innate immunity and neurodegeneration, was stimulated 35- to 63-fold after 3 or 6 h of DEX treatment. Two transcription factors, promyelocytic leukemia zinc finger (PLZF) and Slug were induced more than 15-fold 3 h after DEX treatment. PLZF or Slug stimulated productive infection 20- or 5-fold, respectively, and Slug stimulated the late glycoprotein C promoter more than 10-fold. Additional DEX-induced transcription factors also stimulated productive infection and certain viral promoters. These studies suggest that DEX-inducible cellular transcription factors and/or signaling pathways stimulate lytic cycle viral gene expression, which subsequently leads to successful reactivation from latency in a small subset of latently infected neurons.
Positive psychology and sleep : the influence of an internet-based exercise

Associations between psychopathology and poor sleep have been well established by previous research. This has been motivated by the drive to uncover and undo pathology. An alternative approach offered by positive psychology considers whether those who have good sleep quality (SQ) show high levels of subjective well-being (SWB). Evidence is limited, but recent findings have linked good sleep with constructs that are central to SWB, including trait gratitude; how orientated people are to the positive things around them. Aims: The main aim of this thesis is to examine the effect of a gratitude intervention on SQ. A secondary aim is to explore the relationships between SQ, SWB and pre-sleep cognitions. Design: A total of 300 participants took part in the cross-sectional study. These were classified as having high (n = 138) and low SQ (n = 162) according to the Sleep Impairment Index (SII). Groups were compared on measures of Satisfaction With Life (SWLS), gratitude (GQ-6) and pre-sleep cognitions (SST:60). Hypotheses were guided by the one piece of research that has previously explored these constructs. Individuals with low SQ were then invited to participate in a novel intervention study (N = 51). Participants were randomized into a self-guided Three Good Things in Life gratitude intervention (n = 25) or events listing control intervention condition (n = 26) that ran across 7 days. Repeated measures analysis of variance was used to assess change in SQ and pre-sleep cognitions between baseline and follow-up. Hierarchical linear modelling (HLM) was used to explore daily measurements of sleep and affect. Results: Results supported previous work in finding positive relationships between high SQ and measures of SWB, including trait gratitude. Those completing the gratitude intervention reported significantly improved SQ according to the Pittsburgh Sleep Quality Index (PSQI), compared to the control condition. A higher proportion of participants in the gratitude intervention fell on or below the clinical threshold of >5 on the PSQI after the intervention (n = 11), compared to those in the control intervention condition (n = 3). The effect of intervention on presleep cognitions between baseline and follow-up was approaching significance. No significant mediational influences were found using HLM. Conclusions: This research demonstrates the relationship between SWB and gratitude in relation to SQ and the outcome of the intervention suggests that it could be employed to improve public health in relation to sleep.
OBJ CUT

In this paper, we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. The work draws together two powerful formulations: pictorial structures (PS) and Markov random fields (MRFs) both of which have efficient algorithms for their solution. The resulting combination, which we call the object category specific MRF, suggests a solution to the problem that has long dogged MRFs namely that they provide a poor prior for specific shapes. In contrast, our model provides a prior that is global across the image plane using the PS. We develop an efficient method, OBJ CUT, to obtain segmentations using this model. Novel aspects of this method include an efficient algorithm for sampling the PS model, and the observation that the expected log likelihood of the model can be increased by a single graph cut. Results are presented on two object categories, cows and horses. We compare our methods to the state of the art in object category specific image segmentation and demonstrate significant improvements.
EFFECTS OF PELVIC STABILIZATION ON LUMBAR MUSCLE ACTIVITY DURING DYNAMIC EXERCISE

Many commonly utilized lowback exercise devices offer mechanisms to stabilize the pelvis and to isolate the lumbar spine, but the value of these mechanisms remains unclear. The purpose of this study was to examine the effect of pelvic stabilization on the activity of the lumbar and hip extensor muscles during dynamic back extension exercise. Fifteen volunteers in good general health performed dynamic extension exercise in a seated upright position on a lumbar extension machine with and without pelvic stabilization. During exercise, surface electromyographic activity of the lumbar multifidus and biceps femoris was recorded. The activity of the multifidus was 51% greater during the stabilized condition, whereas there was no difference in the activity of the biceps femoris between conditions. This study demonstrates that pelvic stabilization enhances lumbar muscle recruitment during dynamic exercise on machines. Exercise specialists can use these data when designing exercise programs to develop low back strength.
An Analysis of Feature Selection Techniques

In this paper several feature selection methods are explored. These are analysed to see what effect they have on the accuracy of a simple svm. Several filter and wrapper techniques are investigated. Hybrid methods which use combinations of filter and wrapper techniques are also investigated. Many filter methods are found to give no increase in accuracy for the classifier. The most effective method is found to be a hybrid method which is called ‘Ranked Forward Search’. This gives an increase in accuracy for the classifier when using only a small subset of the possible features.
Identifying Staff Development Needs of Cooperative Extension Faculty Using a Modified Borich Needs Assessment Model.

The concept of needs assessment has evolved since the mid-sixties as a direct offshoot of the social action legislation period (Stufflebeam, McCormick, Brinkerhoff & Nelson, 1985). The logic behind identifying educational needs stems from the desire to design and implement relevant educational programs which are based on measurable and achievable goals and objectives. Gathering data from potential clientele and actively involving them in the process of identifying potential educational programs increases the likelihood of implementing relevant educational programs; thus, increasing the likelihood of achieving appropriate outcomes. This article describes an educational needs assessment process which was employed in an attempt to develop a prioritized list of educational needs for extension field faculty.
Suppression of autoimmunity and organ pathology in lupus-prone mice upon inhibition of calcium/calmodulin-dependent protein kinase type IV.

OBJECTIVE Systemic lupus erythematosus (SLE) is a chronic inflammatory disease associated with aberrant immune cell function. Treatment involves the use of indiscriminate immunosuppression, which results in significant side effects. SLE T cells express high levels of calcium/calmodulin-dependent protein kinase type IV (CaMKIV), which translocates to the nucleus upon engagement of the T cell receptor-CD3 complex and accounts for abnormal T cell function. The purpose of this study was to determine whether inhibition of CaMKIV would improve disease pathology. METHODS We treated MRL/lpr mice with KN-93, a CaMKIV inhibitor, starting at week 8 or week 12 of age and continuing through week 16 and evaluated skin lesions, proteinuria, kidney histopathology, proinflammatory cytokine production, and costimulatory molecule expression. We also determined the effect of silencing of CAMK4 on interferon-γ (IFNγ) expression by human SLE T cells. RESULTS CaMKIV inhibition in MRL/lpr mice resulted in significant suppression of nephritis and skin disease, decreased expression of the costimulatory molecules CD86 and CD80 on B cells, and suppression of IFNγ and tumor necrosis factor α production. In human SLE T cells, silencing of CAMK4 resulted in suppression of IFNγ production. CONCLUSION We conclude that suppression of CaMKIV mitigates disease development in lupus-prone mice by suppressing cytokine production and costimulatory molecule expression. Specific silencing of CAMK4 in human T cells results in similar suppression of IFNγ production. Our data justify the development of small-molecule CaMKIV inhibitors for the treatment of patients with SLE.
Activity and Social Behavior in a Crowded South African Township Nursery: A Follow-up Study on the Effects of Crowding at Home.

A follow-up of a study by Liddell and Kruger (1987) into the effects of crowding in a typical South African daycare center is reported. A group of children were studied during their first 5 weeks in a township nursery to determine the degree to which their experience of crowded conditions at home affects their patterns of activity and social behavior at nursery. Household density appeared to exert a moderate influence, with children from crowded homes seeming most compro mised. On the whole, however, the behavior patterns exhibited by new admis sions closely resembled those reported for a previous group who had had 8 months nursery experience.
Prognostic Value of Microvascular Density in Dukes A and B (T1–T4, N0, M0) Colorectal Carcinomas

Background. Aproximatelly 30% of patients operated on for colorectal cancer (CRC), with an expectedly favourable prognosis (Dukes A-B/T1–T4, N0, M0) suffer recurrence and/or die. Method. In order to determine if tumor microvascular density (MVD) is a prognostic factor in CRC, samples from tumors of 104 Dukes A-B CRC patients were retrospectively studied. Immunohistochemistry was performed for anti-CD34 antibody to visualize tumor vascularisation. MVD was expressed as the total number of vessels and as the percentage of microvascular area. We calculated MVD with a morphometry program and performed descriptive, bivariate, and survival statistics. Results. The mean number of vessels was 37.37/200x field, and the mean vascular area was the 3.972%. 30% of the patients with < 37 vessels/field, and 21% of the patients with > 37 vessels/field, experienced recurrence/death. The 35% of patients with < 4% of vascular area died following recurrence, compared with 14% of patients with ≥4% of vascular area. These differences in % of vascular area were statistically significant. Conclusion. MVD expressed as the total number of vessels had no a statistically significant influence on the evolution of CRC. However, neoplasias with a greater % of vascular were associated to a better outcome.
Efficacy of superficial temporal artery-middle cerebral artery bypass in cerebrovascular steno-occlusive diseases: Hemodynamics assessed by perfusion computed tomography

Objectives: Our purpose of this study was to assess the cerebral hemodynamic improvement with perfusion computed tomography (CT), before and after superficial temporal artery (STA) to middle cerebral artery (MCA) bypass surgery in patients with cerebrovascular steno-occlusive diseases including both moyamoya disease and nonmoyamoya steno-occlusions. Materials and Methods: Twenty-four STA-MCA bypasses were performed to 22 patients with symptomatic cerebrovascular steno-occlusive diseases, including both moyamoya disease and nonmoyamoya steno-occlusive diseases. Brain perfusion CT images were obtained before and after the bypass surgery. The relative parameters such as cerebral blood volume (CBV), cerebral blood flow (CBF), and mean transit time (MTT) derived from the perfusion CT were collected and analyzed to assess the efficacy of STA-MCA bypass. Results: The CBF increased, and MTT decreased after the bypass surgery in both moyamoya group and nonmoyamoya group. The increase of CBF in nonmoyamoya group and the decrease of MTT delay in moyamoya group, overall group were statistically significant (P < 0.05). No significant postoperative change in CBV was noted. During the postoperative follow-up period, none of the 22 patients experienced any repeated ischemic/hemorrhagic attacks nor any newly developed neurologic deficits. Conclusion: The STA-MCA bypass is an effective surgical management for patients with cerebrovascular steno-occlusive diseases, such as moyamoya disease and internal carotid artery/MCA steno-occlusion. And perfusion CT can be used as an effective quantitative modality to assess the cerebral perfusion before and after the STA-MCA bypass surgery.
Is there a link between TNF gene expression and cognitive deficits in depression?

Neuroinflammation is a known factor in the pathogenesis of recurrent depressive disorders. Depression is accompanied by activated immune-inflammatory pathways including increased levels of TNFα, sTNFR1and sTNFR2.The purpose of this study was to analyse the TNF-α, TNFRSF1A and TNFRSF1B genes on both mRNA and protein levels in patients with rDD, and to investigate the relationship between TNF-α,TNFRSF1A and TNFRSF1B gene expression and cognitive performance. The study comprised 158 subjects: patients with recurrent depressive disorder (n=89) and healthy subjects (n=69). Cognitive function assessment was based on: Trail Making Test, The Stroop Test, Verbal Fluency Test and Auditory Verbal Learning Test. Both mRNA and protein expression levels of all genes were significantly higher in rDD subjects when compared to healthy controls. No statistically significant correlations were observed between the analysed variables in both the rDD group and the HS test group. The only exception was noticed in the HS test group, where increased expression of TNFRSF1A and TNFRSF1B gene negatively affected the performance of the AVLT test. However, statistically significant correlations between TNF, TNFRSF1A, TNFRSF1B mRNA gene expression levels and all the neuropsychological tests used in the survey for the entire group were observed. CONCLUSIONS 1.The results of our study show increased expression of the TNF, TNFRSF1A and TNFRSF1B genes on both mRNA and protein levels in depression. 2. Elevated expression of TNF-α, TNFRSF1A and TNFRSF1B negatively correlates with cognitive efficiency: working memory, executive functions, attention, auditory-verbal memory, effectiveness of learning processes and verbal fluency.
Introducing Qualitative Research in Psychology

About the authors Acknowledgements Part 1: Conceptual Preparation From recipes to adventures Epistemological bases for qualitative research Qualitative research design and data collection The role of interpretation Putting together a research proposal Part 2: Doing Research Thematic analysis Grounded theory methodology Phenomenological methods Case studies Discursive psychology Foucauldian discourse analysis Narrative psychology Visual methods Part 3: Reflections and Conclusions Quality in qualitative research Review and conclusion: Where next for qualitative psychology? Appendix 1: What influences a person's decision to want to stop using drugs? A grounded theory study exploring the experiences of heroin users Appendix 2: The experience of body dysmorphic disorder: An interpretative phenomenological analysis and photo elicitation study Appendix 3: Constructing self-harm at the turn of the 21st century: A Foucauldian discourse analysis References
EGFRvIII‐Targeted Vaccination Therapy of Malignant Glioma

Given the highly infiltrative growth pattern of malignant glioma and the lack of specificity associated with currently available treatment regimens, alternative strategies designed to eradicate cancer cells while limiting collateral toxicity in normal tissues remain a high priority. To this end, the development of specific immunotherapies against targeted neoplastic cells represents a promising approach.
Evolution of DNA Sequence Nonhomologies among Maize Inbredsw⃞

Allelic chromosomal regions totaling more than 2.8 Mb and located on maize (Zea mays) chromosomes 1L, 2S, 7L, and 9S have been sequenced and compared over distances of 100 to 350 kb between the two maize inbred lines Mo17 and B73. The alleles contain extended regions of nonhomology. On average, more than 50% of the compared sequence is noncolinear, mainly because of the insertion of large numbers of long terminal repeat (LTR)-retrotransposons. Only 27 LTR-retroelements are shared between alleles, whereas 62 are allele specific. The insertion of LTR-retrotransposons into the maize genome is statistically more recent for nonshared than shared ones. Most surprisingly, more than one-third of the genes (27/72) are absent in one of the inbreds at the loci examined. Such nonshared genes usually appear to be truncated and form clusters in which they are oriented in the same direction. However, the nonshared genome segments are gene-poor, relative to regions shared by both inbreds, with up to 12-fold difference in gene density. By contrast, miniature inverted terminal repeats (MITEs) occur at a similar frequency in the shared and nonshared fractions. Many times, MITES are present in an identical position in both LTRs of a retroelement, indicating that their insertion occurred before the replication of the retroelement in question. Maize ESTs and/or maize massively parallel signature sequencing tags were identified for the majority of the nonshared genes or homologs of them. In contrast with shared genes, which are usually conserved in gene order and location relative to rice (Oryza sativa), nonshared genes violate the maize colinearity with rice. Based on this, insertion by a yet unknown mechanism, rather than deletion events, seems to be the origin of the nonshared genes. The intergenic space between conserved genes is enlarged up to sixfold in maize compared with rice. Frequently, retroelement insertions create a different sequence environment adjacent to conserved genes.
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems

Main memory bandwidth is a critical bottleneck for modern GPU systems due to limited off-chip pin bandwidth. 3D-stacked memory architectures provide a promising opportunity to significantly alleviate this bottleneck by directly connecting a logic layer to the DRAM layers with high bandwidth connections. Recent work has shown promising potential performance benefits from an architecture that connects multiple such 3D-stacked memories and offloads bandwidth-intensive computations to a GPU in each of the logic layers. An unsolved key challenge in such a system is how to enable computation offloading and data mapping to multiple 3D-stacked memories without burdening the programmer such that any application can transparently benefit from near-data processing capabilities in the logic layer. Our paper develops two new mechanisms to address this key challenge. First, a compiler-based technique that automatically identifies code to offload to a logic-layer GPU based on a simple cost-benefit analysis. Second, a software/hardware cooperative mechanism that predicts which memory pages will be accessed by offloaded code, and places those pages in the memory stack closest to the offloaded code, to minimize off-chip bandwidth consumption. We call the combination of these two programmer-transparent mechanisms TOM: Transparent Offloading and Mapping. Our extensive evaluations across a variety of modern memory-intensive GPU workloads show that, without requiring any program modification, TOM significantly improves performance (by 30% on average, and up to 76%) compared to a baseline GPU system that cannot offload computation to 3D-stacked memories.
Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization

The aim of this paper is twofold. First, we present a thorough experimental study to show the superiority of the generalization capability of the support vector machine (SVM) approach in the automatic classification of electrocardiogram (ECG) beats. Second, we propose a novel classification system based on particle swarm optimization (PSO) to improve the generalization performance of the SVM classifier. For this purpose, we have optimized the SVM classifier design by searching for the best value of the parameters that tune its discriminant function, and upstream by looking for the best subset of features that feed the classifier. The experiments were conducted on the basis of ECG data from the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database to classify five kinds of abnormal waveforms and normal beats. In particular, they were organized so as to test the sensitivity of the SVM classifier and that of two reference classifiers used for comparison, i.e., the k-nearest neighbor (kNN) classifier and the radial basis function (RBF) neural network classifier, with respect to the curse of dimensionality and the number of available training beats. The obtained results clearly confirm the superiority of the SVM approach as compared to traditional classifiers, and suggest that further substantial improvements in terms of classification accuracy can be achieved by the proposed PSO-SVM classification system. On an average, over three experiments making use of a different total number of training beats (250, 500, and 750, respectively), the PSO-SVM yielded an overall accuracy of 89.72% on 40438 test beats selected from 20 patient records against 85.98%, 83.70%, and 82.34% for the SVM, the kNN, and the RBF classifiers, respectively.