Miracle-dz/UniFAR-FTUs huggingface dataset:
The stream of experience when watching artistic movies. Dynamic aesthetic effects revealed by the Continuous Evaluation Procedure (CEP)

Research in perception and appreciation is often focused on snapshots, stills of experience. Static approaches allow for multidimensional assessment, but are unable to catch the crucial dynamics of affective and perceptual processes; for instance, aesthetic phenomena such as the “Aesthetic-Aha” (the increase in liking after the sudden detection of Gestalt), effects of expectation, or Berlyne's idea that “disorientation” with a “promise of success” elicits interest. We conducted empirical studies on indeterminate artistic movies depicting the evolution and metamorphosis of Gestalt and investigated (i) the effects of sudden perceptual insights on liking; that is, “Aesthetic Aha”-effects, (ii) the dynamics of interest before moments of insight, and (iii) the dynamics of complexity before and after moments of insight. Via the so-called Continuous Evaluation Procedure (CEP) enabling analogous evaluation in a continuous way, participants assessed the material on two aesthetic dimensions blockwise either in a gallery or a laboratory. The material's inherent dynamics were described via assessments of liking, interest, determinacy, and surprise along with a computational analysis on the variable complexity. We identified moments of insight as peaks in determinacy and surprise. Statistically significant changes in liking and interest demonstrated that: (i) insights increase liking, (ii) interest already increases 1500 ms before such moments of insight, supporting the idea that it is evoked by an expectation of understanding, and (iii) insights occur during increasing complexity. We propose a preliminary model of dynamics in liking and interest with regard to complexity and perceptual insight and discuss descriptions of participants' experiences of insight. Our results point to the importance of systematic analyses of dynamics in art perception and appreciation.
Humanistic Approach to Nursing Education: Lived Experiences of Iranian Nursing Students

The nurse teachers tried to have a complete understanding of the educational contents, to transfer knowledge to nursing students better, and to facilitate the process of education. The purpose of this study was to explore the lived experiences of Iranian nursing students regarding the characteristics of academic nurse teachers. In this hermeneutic phenomenological study, data were collected via in-depth, semi-structured interviews with 12 Iranian nursing students and the audio-taped and transcribed interviews analyzed according to Van Manen´s method. The main theme emerged during data analysis, was “humanistic approach to nursing education”. The theme was extracted from 2 sub-themes including ‘ethical necessities’ and ‘effective interaction’. The findings present greater understanding of humanistic approach to nursing education.
Hierarchical Self-Organization in the Finitary Process Soup

Current analyses of genomes from numerous species show that the diversity of their functional and behavioral characters is not proportional to the number of genes that encode the organism. We investigate the hypothesis that the diversity of organismal character is due to hierarchical organization. We do this with the recently introduced model of the finitary process soup, which allows for a detailed mathematical and quantitative analysis of the population dynamics of structural complexity. Here we show that global complexity in the finitary process soup is due to the emergence of successively higher levels of organization, that the hierarchical structure appears spontaneously, and that the process of structural innovation is facilitated by the discovery and maintenance of relatively noncomplex, but general, individuals in a population.
Four correlates of complex behavioral networks: Differentiation, behavior, connectivity, and compartmentalization: Carving networks at their joints

Some of the most complex networks are those that (i) have been engineered under selective pressure (either economic or evolutionary), and (ii) are capable of eliciting network-level behaviors. Some examples are nervous systems, ant colonies, electronic circuits and computer software. Here we provide evidence that many such selected, behavioral networks are similar in at least four respects. (1) Differentiation: Nodes of different types are used in a combinatorial fashion to build network structures through local connections, and networks accommodate more structure types via increasing the number of node types in the network (i.e., increasing differentiation), not via increasing the length of structures. (2) Behavior: Structures are themselves combined globally to implement behaviors, and networks accommodate a greater behavioral repertoire via increasing the number of lower-level behavior types (including structures), not via increasing the length of behaviors. (3) Connectivity: In order for structures in behavioral networks to combine with other structures within a fixed behavior length, the network must maintain an invariant network diameter, and this is accomplished via increasing network connectivity in larger networks. (4) Compartmentalization: Finally, for reasons of economical wiring, behavioral networks become increasingly parcellated. Special attention is given to nervous systems and computer software, but data from a variety of other behavioral selected networks are also provided, including ant colonies, electronic circuits, web sites and businesses. A general framework is introduced illuminating why behavioral selected networks share these four correlates. Because the four above features appear to apply to computer software as well as to biological networks, computer software provides a useful framework for comprehending the large-scale function and organization of biological networks. © 2005 Wiley Periodicals, Inc. Complexity 10: 13–40, 2005
Severity of Airflow Obstruction in Chronic Obstructive Pulmonary Disease (COPD): Proposal for a New Classification

ABSTRACT Current classifications of Chronic Obstructive Pulmonary Disease (COPD) severity are complex and do not grade levels of obstruction. Obstruction is a simpler construct and independent of ethnicity. We constructed an index of obstruction severity based on the FEV1/FVC ratio, with cut-points dividing the Burden of Obstructive Lung Disease (BOLD) study population into four similarly sized strata to those created by the GOLD criteria that uses FEV1. We measured the agreement between classifications and the validity of the FEV1-based classification in identifying the level of obstruction as defined by the new groupings. We compared the strengths of association of each classification with quality of life (QoL), MRC dyspnoea score and the self-reported exacerbation rate. Agreement between classifications was only fair. FEV1-based criteria for moderate COPD identified only 79% of those with moderate obstruction and misclassified half of the participants with mild obstruction as having more severe COPD. Both scales were equally strongly associated with QoL, exertional dyspnoea and respiratory exacerbations. Severity assessed using the FEV1/FVC ratio is only in moderate agreement with the severity assessed using FEV1 but is equally strongly associated with other outcomes. Severity assessed using the FEV1/FVC ratio is likely to be independent of ethnicity.
Effective prediction of preeclampsia by measuring serum angiotensin II, urinary angiotensinogen and urinary transforming growth factor β1

The aim of the current study was to analyze serum angiotensin II (Ang II), urinary angiotensinogen (AGT) and urinary transforming growth factor β1 (TGFβ1) levels in relation to the clinical manifestation of preeclampsia, and to explore the effects of circulating and renal renin angiotensin system (RAS) in preeclampsia patients. An enzyme-linked immunosorbent assay was used to evaluate serum Ang II, urinary AGT and urinary TGFβ1 in preeclampsia, pregnancy-induced hypertension and normotensive pregnancy patients. The correlation between urinary AGT and serum Ang II, urinary TGFβ1, blood pressure and urinary albumin/creatinine ratio (ACR) were then analyzed. Receiver operating characteristic (ROC) curves were also constructed. Negative correlations were observed between urinary AGT and blood pressure, and urinary AGT and ACR, whereas positive correlations were found between urinary AGT and serum Ang II, and urinary AFT and TGFβ1. Moreover, the area under the curve (AUC) of AGT was 0.841 [95% confidence interval (CI): 0.742–0.940, P<0.001], which was significantly higher than that of serum Ang II or urinary TGFβ1 (P<0.001). The optimal cut-off value of urinary AGT at 193 ng/l showed a high diagnostic value in preeclampsia. The AUC of combined serum Ang II, urinary AGT and urinary TGFβ1 was 0.918 (95% CI: 0.845–0.990, P<0.001), with a sensitivity of 83.9% and a specificity of 89.7%. Decreased levels of urinary AGT in preeclampsia patients suggested that local renal RAS was suppressed, and this was associated with hypertension and proteinuria. A high value preeclampsia diagnosis could be achieved by measuring urinary AGT or a combination of urinary AGT, serum Ang II and urinary TGFβ1.
Functional and Biochemical Endothelial Profiling In Vivo in a Murine Model of Endothelial Dysfunction; Comparison of Effects of 1-Methylnicotinamide and Angiotensin-converting Enzyme Inhibitor

Although it is known that 1-methylnicotinamide (MNA) displays vasoprotective activity in mice, as yet the effect of MNA on endothelial function has not been demonstrated in vivo. Here, using magnetic resonance imaging (MRI) we profile the effects of MNA on endothelial phenotype in mice with atherosclerosis (ApoE/LDLR-/-) in vivo, in comparison to angiotensin (Ang) -converting enzyme (ACE) inhibitor (perindopril), with known vasoprotective activity. On a biochemical level, we analyzed whether MNA- or perindopril-induced improvement in endothelial function results in changes in ACE/Ang II-ACE2/Ang-(1–7) balance, and L-arginine/asymmetric dimethylarginine (ADMA) ratio. Endothelial function and permeability were evaluated in the brachiocephalic artery (BCA) in 4-month-old ApoE/LDLR-/- mice that were non-treated or treated for 1 month or 2 months with either MNA (100 mg/kg/day) or perindopril (10 mg/kg/day). The 3D IntraGate®FLASH sequence was used for evaluation of BCA volume changes following acetylcholine (Ach) administration, and for relaxation time (T1) mapping around BCA to assess endothelial permeability using an intravascular contrast agent. Activity of ACE/Ang II and ACE2/Ang-(1–7) pathways as well as metabolites of L-arginine/ADMA pathway were measured using liquid chromatography/mass spectrometry-based methods. In non-treated 6-month-old ApoE/LDLR-/- mice, Ach induced a vasoconstriction in BCA that amounted to –7.2%. 2-month treatment with either MNA or perindopril resulted in the reversal of impaired Ach-induced response to vasodilatation (4.5 and 5.5%, respectively) and a decrease in endothelial permeability (by about 60% for MNA-, as well as perindopril-treated mice). Improvement of endothelial function by MNA and perindopril was in both cases associated with the activation of ACE2/Ang-(1–7) and the inhibition of ACE/Ang II axes as evidenced by an approximately twofold increase in Ang-(1–9) and Ang-(1–7) and a proportional decrease in Ang II and its active metabolites. Finally, MNA and perindopril treatment resulted in an increase in L-arginine/ADMA ratio by 107% (MNA) and 140% (perindopril), as compared to non-treated mice. Functional and biochemical endothelial profiling in ApoE/LDLR-/- mice in vivo revealed that 2-month treatment with MNA (100 mg/kg/day) displayed a similar profile of vasoprotective effect as 2-month treatment with perindopril (10 mg/kg/day): i.e., the improvement in endothelial function that was associated with the beneficial changes in ACE/Ang II-ACE2/Ang (1–7) balance and in L-arginine/ADMA ratio in plasma.
Reducing repair-bandwidth using codes based on factor graphs

Distributed storage systems suffer from significant repair traffic generated due to frequent storage node failures. This paper shows that properly designed low-density parity-check (LDPC) codes can substantially reduce the amount of required block downloads for repair thanks to the sparse nature of their factor graph representation. In particular, with a careful construction of the factor graph, both low repair-bandwidth and high reliability can be achieved for a given code rate. First, a formula for the average repair bandwidth of LDPC codes is developed. This formula is then used to establish that the minimum repair bandwidth can be achieved by forcing a regular check node degree in the factor graph. It is also shown that for a given repair-bandwidth overhead, LDPC codes can have substantially higher reliability than currently utilized Reed-Solomon (RS) codes. Our reliability analysis is based on a formulation of the general equation for the mean-time-to-data-loss (MTTDL) associated with LDPC codes. The formulation reveals that the stopping number is highly related to MTTDL. For code rates 1/2, 2/3, and 3/4, our results show that quasi-cyclic (QC) progressive-edge-growth (PEG) LDPC codes with variable node degree 2 allow 25% ~ 50% reduction in the repair bandwidth while maintaining higher MTTDL compared to currently employed RS codes.
Analysis of effector CD4 (OX‐40+) and CD8 (CD45RA+ CD27‐) T lymphocytes in active multiple sclerosis

Objectives ‐ Recently, effector T‐cell subpopulations have been identified that can be distinguished by expression of members of the TNF‐R family: CD4+OX‐40+ cells are CD4 helper‐effector cells CD8+CD45RA+CD27‐ cells are CD8‐killer‐effector cells. We investigated whether these lymphocyte subsets were increased in the active phase of multiple sclerosis (MS). Material and methods‐ Multiple colour immunofluorescence staining was performed on peripheral blood lymphocytes of 28 patients with active MS and of 29 healthy controls, followed by FACS analysis. Results ‐ Frequencies of CD8‐killer‐effector cells showed a wide interindividual range in both groups and percentages of CD4 helper‐effector cells were low. No significant difference between the groups was observed for these subsets, but CD8+CD45RA‐CD27‐ were increased in MS. In healthy individuals, CD4 helper‐effector cells correlated with the total percentages of memory cells. Moreover, CD4+ and CD8+ memory cells were strongly correlated. Conclusions‐ The here described recently identified effector CD4 and CD8 lymphocyte subpopulations were not increased in clinically active MS. It is however still possible that in MS, myelin‐specific encephalitogenic cells reside within these subsets.
Optimistic Synchronization in HLA-Based Distributed Simulation

With the wide use of commercial off-the-shelf (COTS) simulation packages and the advent of the High Level Architecture (HLA) standard, it is desirable to build distributed simulations by linking various types of simulation models developed using best-fit COTS packages. While almost all current work on integrating COTS packages and the HLA is based on conservative synchronization, it is worthwhile to investigate the optimistic synchronization approach. The optimistic approach can exploit parallelism and achieve promising performance in situations where causality errors may occur but in fact seldom occur. The authors introduce a rollback controller using a middleware approach to handle the complex rollback procedure on behalf of the simulation model. A new time advance algorithm is proposed that can fully use the benefits of optimistic synchronization. The article also describes a scalability study showing the experimental results for the two synchronization approaches as the number of simulation components increases.
How Albot0 Finds Its Way Home: A Novel Approach to Cognitive Mapping Using Robots

Much of what we know about cognitive mapping comes from observing how biological agents behave in their physical environments, and several of these ideas were implemented on robots, imitating such a process. In this paper a novel approach to cognitive mapping is presented whereby robots are treated as a species of their own and their cognitive mapping is being investigated. Such robots are referred to as Albots. The design of the first Albot, Albot0 , is presented. Albot0 computes an imprecise map and employs a novel method to find its way home. Both the map and the return-home algorithm exhibited characteristics commonly found in biological agents. What we have learned from Albot0 's cognitive mapping are discussed. One major lesson is that the spatiality in a cognitive map affords us rich and useful information and this argues against recent suggestions that the notion of a cognitive map is not a useful one.
Osteogenic differentiation of cultured rat and human bone marrow cells on the surface of zinc-releasing calcium phosphate ceramics.

Rat and human bone marrow cells (BMCs) were cultured on a composite ceramic of zinc-containing beta-tricalcium phosphate and hydroxyapatite (ZnTCP/HAP) with a (Ca+Zn)/P molar ratio of 1.60 and varying zinc contents. After a 2-week culture of the BMCs in the presence of beta-glycerophosphate and dexamethasone, many macroscopic mineralized areas with high alkaline phosphatase (ALP) activity were seen on the ZnTCP/HAP ceramic disks. The ALP activity increased with increasing zinc content in the ceramics. The highest ALP activity was observed when the BMCs were cultured on the ceramics with 1.26 wt % zinc, and the ceramics released zinc ions at concentrations from 2.2 to 7.2 microg/mL into the culture medium. Zinc ions were incorporated into mineralized areas produced by BMCs. BMCs also were directly cultured onto the culture dish surface, and the addition of 100 microM of free ZnCl(2) (6.5 microg/mL) to the culture medium significantly increased the ALP activity of the BMCs relative to the culture medium without the ZnCl(2)addition. The maximum zinc concentration required to enhance mineralization was higher in human BMCs than in rat BMCs. The present study demonstrates the superiority of ZnTCP/HAP ceramics over TCP/HAP in supporting the osteogenic differentiation of BMCs, and thus these ceramics are safe and useful in clinical settings, such as for bone reconstructive surgery.
Genome‐Wide Family‐Based Linkage Analysis of Exome Chip Variants and Cardiometabolic Risk

Linkage analysis of complex traits has had limited success in identifying trait‐influencing loci. Recently, coding variants have been implicated as the basis for some biomedical associations. We tested whether coding variants are the basis for linkage peaks of complex traits in 42 African‐American (n = 596) and 90 Hispanic (n = 1,414) families in the Insulin Resistance Atherosclerosis Family Study (IRASFS) using Illumina HumanExome Beadchips. A total of 92,157 variants in African Americans (34%) and 81,559 (31%) in Hispanics were polymorphic and tested using two‐point linkage and association analyses with 37 cardiometabolic phenotypes. In African Americans 77 LOD scores greater than 3 were observed. The highest LOD score was 4.91 with the APOE SNP rs7412 (MAF = 0.13) with plasma apolipoprotein B (ApoB). This SNP was associated with ApoB (P‐value = 4 × 10−19) and accounted for 16.2% of the variance in African Americans. In Hispanic families, 104 LOD scores were greater than 3. The strongest evidence of linkage (LOD = 4.29) was with rs5882 (MAF = 0.46) in CETP with HDL. CETP variants were strongly associated with HDL (0.00049 < P‐value <4.6 × 10−12), accounting for up to 4.5% of the variance. These loci have previously been shown to have effects on the biomedical traits evaluated here. Thus, evidence of strong linkage in this genome wide survey of primarily coding variants was uncommon. Loci with strong evidence of linkage was characterized by large contributions to the variance, and, in these cases, are common variants. Less compelling evidence of linkage and association was observed with additional loci that may require larger family sets to confirm.
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks

Loom (LM), a hardware inference accelerator for Convolutional Neural Networks (CNNs) is presented. In LM every bit of data precision that can be saved translates to proportional performance gains. For both weights and activations LM exploits profile-derived per layer precisions. However, at runtime LM further trims activation precisions at a much smaller than a layer granularity. On average, across several image classification CNNs and for a configuration that can perform the equivalent of 128 16b × 16b multiply-accumulate operations per cycle LM outperforms a state-of-the-art bit-parallel accelerator [3] by 3.19 × without any loss in accuracy while being 2.59 × more energy efficient. LM can trade-off accuracy for additional improvements in execution performance and energy efficiency and compares favorably to an accelerator that targeted only activation precisions.
3587P IMMUNE/all/re

Decker has long been associated with a longitudinal, ethnographic, and medically sophisticated study (see Flinn, this volume) of human immune function in a particular cultural context quite far removed from the American university or hospital contexts in which many psychoneu-roimmunological studies have been carried out. Working in the Dominican village of Bwa Mawego, Decker combined ethnographic and laboratory-analytic methods to isolate a physiological marker of stress – HPA activation – and associate it with four primary socio-cultural variables. Among these, the first – participation in culturally approved activities (which have no direct health impact) – might seem an unlikely candidate for affecting stress, HPA activation, and thus (indirectly) immune function. But Decker succeeds in presenting a coherent model to explain the correlations he uncovered between cortisol levels, social status, and cultural consonance (Dressler and Bindon 2000).
Global Convergence of Decomposition Learning Methods for Support Vector Machines

Decomposition methods are well-known techniques for solving quadratic programming (QP) problems arising in support vector machines (SVMs). In each iteration of a decomposition method, a small number of variables are selected and a QP problem with only the selected variables is solved. Since large matrix computations are not required, decomposition methods are applicable to large QP problems. In this paper, we will make a rigorous analysis of the global convergence of general decomposition methods for SVMs. We first introduce a relaxed version of the optimality condition for the QP problems and then prove that a decomposition method reaches a solution satisfying this relaxed optimality condition within a finite number of iterations under a very mild condition on how to select variables
Imidazolium trans-diaquadioxalatochromate(III) dihydrate

In the title hydrated molecular salt, (C3H5N2)[Cr(C2O4)2(H2O)2]·2H2O, the complete cation is generated by a crystallographic twofold rotation axis, with one C atom lying on the rotation axis. The complete anion is generated by crystallographic inversion symmetry (CrIII site symmetry -1), to generate a slightly distorted CrO6 octahedron with trans water molecules and chelating oxalate dianions. The oxalate ion is almost planar (r.m.s. deviation = 0.017 Å) and the five-membered chelate ring is a shallow envelope with the metal ion displaced by 0.126 (1) Å from the ligand atoms. The crystal structure features O—H⋯O, N—H⋯O and C—H⋯O hydrogen bonds, which link the components into a three-dimensional network.