Miracle-dz/UniFAR-FTUs huggingface dataset:
Infarct in a New Territory After Treatment Administration in the ESCAPE Randomized Controlled Trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times)

Background and Purpose— Infarct in a new previously unaffected territory (INT) is a potential complication of endovascular treatment. We applied a recently proposed methodology to identify and classify INTs in the ESCAPE randomized controlled trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times). Methods— The core laboratory identified INTs on 24-hour follow-up imaging, blinded to treatment allocation, after assessing all baseline imaging. INTs were classified into 3 types (I–III) and 2 subtypes (A/B) based on size and if catheter manipulation was likely performed across the vessel territory ostium. Logistic regression was used to understand the effect of multiple a priori identified variables on INT occurrence. Ordinal logistic regression was used to analyze the effect of INTs on modified Rankin Scale shift at 90 days. Results— From 308 patients included, 14 INTs (4.5% overall; 2.8% on follow-up noncontrast computed tomography, 11.7% on follow-up magnetic resonance imaging) were identified (5.0% in endovascular treatment arm versus 4.0% in control arm [P=0.7]). The use of intravenous alteplase was associated with a 68% reduction in the odds of INT occurrence (3.0% with versus 9.1% without; odds ratio, 0.32; 95% confidence interval, 0.11–0.96; adjusted for age, sex, and treatment type). No other variables were associated with INTs. INT occurrence was associated with reduced probability of good clinical outcome (common odds ratio, 0.25; 95% confidence interval, 0.09–0.74; adjusted for age, type of treatment, and follow-up scan). Conclusions— INTs are uncommon, detected more frequently on follow-up magnetic resonance imaging, and affect clinical outcome. In experienced centers, endovascular treatment is likely not causal, whereas intravenous alteplase may be therapeutic. Clinical Trial Registration— URL: http://www.clinicaltrials. gov. Unique identifier: NCT01778335.
Decision Support Systems

Decision support systems (DSSs) are defined as interactive computer-based systems that aid users in judgment and choice activities. The entry focuses on the core module of DSSs, notably one that directly supports modeling decision problems and identifies best alternatives. It introduces three components of decisions: decision alternatives, preferences, and uncertainty. It presents fundamental components of a DSS: the database management system, the model-base management system, and the dialog generation and management system. It discusses an emergent class of decision-analytic DSSs, based on the sound foundations of probability theory and decision theory. Finally, it reviews issues related to user interfaces to DSSs.
Dual Exosite-binding Inhibitors of Insulin-degrading Enzyme Challenge Its Role as the Primary Mediator of Insulin Clearance in Vivo*

Background: Insulin-degrading enzyme (IDE) is the best characterized catabolic enzyme implicated in insulin proteolysis. Results: Newly discovered dual exosite IDE inhibitors do not significantly affect insulin action or clearance. Conclusion: IDE catabolism does not appear to be the primary mechanism of insulin clearance in vivo. Significance: These IDE inhibitors will enable broader investigation of IDE function. Insulin-degrading enzyme (IDE, insulysin) is the best characterized catabolic enzyme implicated in proteolysis of insulin. Recently, a peptide inhibitor of IDE has been shown to affect levels of insulin, amylin, and glucagon in vivo. However, IDE−/− mice display variable phenotypes relating to fasting plasma insulin levels, glucose tolerance, and insulin sensitivity depending on the cohort and age of animals. Here, we interrogated the importance of IDE-mediated catabolism on insulin clearance in vivo. Using a structure-based design, we linked two newly identified ligands binding at unique IDE exosites together to construct a potent series of novel inhibitors. These compounds do not interact with the catalytic zinc of the protease. Because one of these inhibitors (NTE-1) was determined to have pharmacokinetic properties sufficient to sustain plasma levels >50 times its IDE IC50 value, studies in rodents were conducted. In oral glucose tolerance tests with diet-induced obese mice, NTE-1 treatment improved the glucose excursion. Yet in insulin tolerance tests and euglycemic clamp experiments, NTE-1 did not enhance insulin action or increase plasma insulin levels. Importantly, IDE inhibition with NTE-1 did result in elevated plasma amylin levels, suggesting the in vivo role of IDE action on amylin may be more significant than an effect on insulin. Furthermore, using the inhibitors described in this report, we demonstrate that in HEK cells IDE has little impact on insulin clearance. In total, evidence from our studies supports a minimal role for IDE in insulin metabolism in vivo and suggests IDE may be more important in helping regulate amylin clearance.
Archaeal Communities in a Heterogeneous Hypersaline-Alkaline Soil

In this study the archaeal communities in extreme saline-alkaline soils of the former lake Texcoco, Mexico, with electrolytic conductivities (EC) ranging from 0.7 to 157.2 dS/m and pH from 8.5 to 10.5 were explored. Archaeal communities in the 0.7 dS/m pH 8.5 soil had the lowest alpha diversity values and were dominated by a limited number of phylotypes belonging to the mesophilic Candidatus Nitrososphaera. Diversity and species richness were higher in the soils with EC between 9.0 and 157.2 dS/m. The majority of OTUs detected in the hypersaline soil were members of the Halobacteriaceae family. Novel phylogenetic branches in the Halobacteriales class were detected in the soil, and more abundantly in soil with the higher pH (10.5), indicating that unknown and uncharacterized Archaea can be found in this soil. Thirteen different genera of the Halobacteriaceae family were identified and were distributed differently between the soils. Halobiforma, Halostagnicola, Haloterrigena, and Natronomonas were found in all soil samples. Methanogenic archaea were found only in soil with pH between 10.0 and 10.3. Retrieved methanogenic archaea belonged to the Methanosarcinales and Methanomicrobiales orders. The comparison of the archaeal community structures considering phylogenetic information (UniFrac distances) clearly clustered the communities by pH.
Role of Human Cytomegalovirus Immediate-Early Proteins in Cell Growth Control

ABSTRACT Human cytomegalovirus (HCMV) is a ubiquitous herpesvirus that has been implicated in several disorders, including an association between HCMV reactivation and the overproliferation of arterial smooth muscle cells observed in restenosis. Although HCMV can mediate a growth-arrest phenotype in infected cells, the virus can also promote an environment conducive to proliferation. Here, we present evidence that the HCMV immediate-early (IE) proteins, IE1-72 and IE2-86, may be responsible for inducing this proliferative environment by altering cell cycle control. We find that expression of either of these IE proteins can alter the cell cycle distribution of randomly cycling cells towards S and G2/M phases. Additionally, we find that expression of IE2-86, but not IE1-72, induces quiescent cells into S phase and delays cell cycle exit. In the absence of p53, IE1-72 expression can induce S phase and delay cell cycle exit. We also demonstrate that p53 protein levels increase in fibroblasts following the expression of IE1-72. The observed accumulation of p53 protein in IE1-72-expressing cells may account for the inability of IE1-72 to induce S phase and delay cell cycle exit. Our data suggest that expression of HCMV IE1-72 and IE2-86 is sufficient to alter the cell cycle to generate an environment conducive to proliferation.
Detection of Human Papillomavirus Type 18 E7 Oncoprotein in Cervical Smears: a Feasibility Study

ABSTRACT Persistent infections by high-risk human papillomaviruses (HPVs) are the main etiological factor for cervical cancer, and expression of HPV E7 oncoproteins was suggested to be a potential marker for tumor progression. The objective of this study was to generate new reagents for the detection of the HPV18 E7 oncoprotein in cervical smears. Rabbit monoclonal antibodies against recombinant E7 protein of HPV type 18 (HPV18) were generated and characterized using Western blotting, epitope mapping, indirect immunofluorescence, and immunohistochemistry. One clone specifically recognizing HPV18 E7 was used for the development of a sandwich enzyme-linked immunosorbent assay (ELISA). The assay was validated using recombinant E7 proteins of various HPV types and lysates from E7-positive cervical carcinoma cells. A total of 14 HPV18 DNA-positive cervical swab specimens and 24 HPV DNA-negative-control specimens were used for the determination of E7 protein levels by the newly established sandwich ELISA. On the basis of the average absorbance values obtained from all 24 negative controls, a cutoff above which a clinical sample can be judged E7 positive was established. Significant E7 signals 6- to 30-fold over background were found in 7 out of 14 abnormal HPV18 DNA-positive cervical smear specimens. This feasibility study demonstrates for the first time that HPV18 E7 oncoprotein can be detected in cervical smears.
Robust Student's-t Mixture Model With Spatial Constraints and Its Application in Medical Image Segmentation

Finite mixture model based on the Student's-t distribution, which is heavily tailed and more robust than Gaussian, has recently received great attention for image segmentation. A new finite Student's-t mixture model (SMM) is proposed in this paper. Existing models do not explicitly incorporate the spatial relationships between pixels. First, our model exploits Dirichlet distribution and Dirichlet law to incorporate the local spatial constrains in an image. Secondly, we directly deal with the Student's-t distribution in order to estimate the model parameters, whereas, the Student's-t distributions in previous models are represented as an infinite mixture of scaled Gaussians that lead to an increase in complexity. Finally, instead of using expectation maximization (EM) algorithm, the proposed method adopts the gradient method to minimize the higher bound on the data negative log-likelihood and to optimize the parameters. The proposed model is successfully compared to the state-of-the-art finite mixture models. Numerical experiments are presented where the proposed model is tested on various simulated and real medical images.
Cerebral perfusion pressure in women with preeclampsia is elevated even after treatment of elevated blood pressure

Cerebral perfusion pressure (CPP) is elevated in preeclampsia, and may predispose to cerebrovascular complications and progression to eclampsia. We estimated zero flow pressure (ZFP) and CPP using simultaneously obtained arterial blood pressure and middle cerebral artery blood flow velocity in 10 women with preeclampsia, all treated with methyldopa with or without nifedipine, and 18 healthy pregnant controls. Mean ± SD ZFP was lower in women with preeclampsia than in controls (16.8 ± 10.9 vs. 31.7 ± 15.0 mmHg, p = 0.01) whereas CPP was considerably higher (82.3 ± 17.7 vs. 55.0 ± 11.7 mmHg, p < 0.001), as was the cerebral flow index (41.9 ± 18.0 vs. 25.6 ± 11.2, p = 0.02). There was a significant correlation between blood pressure and CPP in women with preeclampsia, but not in controls. Women with preeclampsia may have an increased cerebral perfusion due to a reduced ZFP and increased CPP despite treatment with antihypertensive medication. More rigorous antihypertensive therapy, aimed at reducing CPP, could result in a decrease in cerebral complications in women with preeclampsia.
The measurement of bacterial chlorophyll and algal chlorophyll a in natural waters

Several groups of chlorophyll-bearing photosynthetic organisms often coexist in anoxic waters. Because of the close similarity between the absorbance spectra of chlorophyll a (in cyanobacteria and algae) and the chlorophylls of green sulfur bacteria (Chl-GSB) it is difficult to distinguish these two groups of organisms where they co-occur. We have developed a simple method to measure both chlorophyll a and Chl-GSB and used it in a meromictic coastal pond. In anoxic bottom waters Chl-GSB was the major pigment present (averaging 20 mg m-)), but chlorophyll a accounted for from 5 to > 50% of the total pigment present throughout the year. Without our method large errors in calculated Chl-GSB and chlorophyll a concentrations would have resulted. The distribution of photosynthetic sulfur bacteria is restricted by their requirement for both anoxic conditions and light (Fenchel and Blackburn 1979; Pfennig 1967). Where light reaches anoxic waters, however, these bacteria can be important; in some such systems the biomass of photosynthetic bacteria is often as large as the algal biomass (e.g. Cloern et al. 1983; Indrebo et al. 1979; Parker et al. 1983). The biomass of photosynthetic bacteria is frequently calculated from bacterial chlorophyll measured from the absorbance of 90% acetone extracts of particles (Lawrence et al. 1978; Parkin and Brock 198 1; Takahashi and Ichimura 1968, 1970), but this method of chlorophyll determination can lead to errors in calculation. The two major groups of photosynthetic sulfur bacteria, green and purple, are distinguished largely by the type of chlorophyll they possess (Pfennig 1967, 1977). Acetone extracts of purple sulfur bacteria have a peak absorbance at 772 nm due to a dominance of bacterial chlorophyll a (Takahashi and Ichimura 1970). Acetone extracts of green sulfur bacteria have a peak absorbance near 653 nm due to a mixture of bacterial chlorophylls c, d, and e (Gloe et al. 1975; Parkin and Brock 198 1). In waters containing both purple and green sulfur bacteria, these two groups are relatively easily distinguished be-
Distributed cell assemblies for general lexical and category‐specific semantic processing as revealed by fMRI cluster analysis

Here, we ask whether frontotemporal cortex is functionally dissociated into distributed lexical and category‐specific semantic networks. To this end, fMRI activation patterns elicited during the processing of words from different semantic categories were categorized using k‐means cluster algorithms. Results showed a distributed pattern of inferiorfrontal, superiortemporal, and fusiform activation shared by different word categories. This shared activation contrasted with patterns of category‐specific semantic activation in widely distributed neural systems. Clustering revealed congruent functional specificity of focal area activations in frontal and temporal cortex; thus suggesting a correspondence between functional partitionings of frontocentral mirror neuron systems and those of inferiortemporal lexical and semantic circuits. Action words related to the face, arms, and legs specifically activated the motor system in a somatotopic manner, whereas form‐related words activated prefrontal areas. Similar functional specificity was evident in temporal cortex, where a different semantic topography emerged for form‐ and action‐related words. Results were replicated in a separate data set, therefore recommending fMRI cluster analysis as a reliable method for scrutinizing the brain basis of lexical, semantic, and conceptual systems in humans. As focal modules do not explain the distributed character of functionally specific clusters and their distinct topographies are at variance with general distributed processing accounts, the functionally‐homogenous distributed clusters specific to semantic types are best explained by specifically‐distributed cortical circuits which, similar to Hebbian cell assemblies, represent functional units with specific roles in cognitive processing, especially in lexical and semantic access and memory. Hum Brain Mapp, 2009. © 2009 Wiley‐Liss, Inc.
Compensating Differentials and Unmeasured Ability in the Labor Market for Nurses: Why Do Hospitals Pay More?

Registered nurses (RNs) employed in hospitals realize a large wage advantage relative to RNs employed elsewhere. Cross-sectional estimates indicate a hospital RN wage advantage of roughly 20%. This paper examines possible sources of the hospital premium, a topic of some interest given the current shifting of medical care out of hospitals. Longitudinal analysis of Current Population Survey data for 1979–94 suggests that a third to a half of the advantage is due to unmeasured worker ability, and the authors conclude that the remainder of the advantage probably reflects compensating differentials for hospital disamenities. Supporting these conclusions is evidence that hospital RNs have higher cognitive ability and higher-quality job experience than non-hospital RNs, and indications that shift work accounts for roughly 10% of the hospital premium.
Distortion derivation for different data partitions in H.264/AVC

An algorithm for determining the distortion for different data partitions in H.264/AVC is proposed. In this algorithm the distortion for any data partition received at the decoder in lossy channels can be recursively derived at the encoder. The overall distortion caused by quantization, error propagation, and error concealment are all considered. Extensive simulation results demonstrate the algorithm can provide one way to accurately evaluate the importance of different data partitions to the reconstructed video quality.
A web-enabled Geovisual Analytics tool applied to OECD Regional Data

Recent advances in web-enabled graphics technologies have the potential to make a dramatic impact on developing highly interactive Geovisual Analytics applications for the Internet. An emerging and challenging application domain is geovisualization of regional (sub-national) statistics. Higher integration driven by institutional processes and economic globalisation is eroding national borders and creating competition along regional lines in the world market. Sound information at sub-national level and benchmarking of regions across countries, therefore, has increased in importance in the policy agenda of many countries. In this paper, we introduce “OECD eXplorer” – an interactive tool for analyzing and communicating gained insights and discoveries about spatial-temporal and multivariate OECD regional data. This database is a potential treasure chest for policy-makers, researchers and citizens to gain a better understanding of a region’s structure and performance and to carry out analysis of territorial trends and disparities based on sound information comparable across countries. Many approaches and tools have been developed in spatial-related knowledge discovery but generally they do not scale well with dynamic visualization of larger spatial data on the Internet. In this context, we introduce a web-compliant Geovisual Analytics toolkit that supports a broad collection of functional components for analysis and validation, hypothesis generation, communicating and finally collaborating gained insights and knowledge based on a snapshot mechanism that captures, re-uses and shares task-related explorative events. An important ambition is to develop a generic highly interactive web “eXplorer” platform that can be the foundation for easy customization of similar dynamic web applications using different geographical boundaries and indicators and be publicly available. Given this global dimension, the dream of building a repository “statistical Wiki” of progress indicators, where experts and public users can use these generic tools to compare situations for two or more countries, regions or local communities, could be accomplished.
The role of areas MT+/V5 and SPOC in spatial and temporal control of manual interception: an rTMS study

Manual interception, such as catching or hitting an approaching ball, requires the hand to contact a moving object at the right location and at the right time. Many studies have examined the neural mechanisms underlying the spatial aspects of goal-directed reaching, but the neural basis of the spatial and temporal aspects of manual interception are largely unknown. Here, we used repetitive transcranial magnetic stimulation (rTMS) to investigate the role of the human middle temporal visual motion area (MT+/V5) and superior parieto-occipital cortex (SPOC) in the spatial and temporal control of manual interception. Participants were required to reach-to-intercept a downward moving visual target that followed an unpredictably curved trajectory, presented on a screen in the vertical plane. We found that rTMS to MT+/V5 influenced interceptive timing and positioning, whereas rTMS to SPOC only tended to increase the spatial variance in reach end points for selected target trajectories. These findings are consistent with theories arguing that distinct neural mechanisms contribute to spatial, temporal, and spatiotemporal control of manual interception.
Microencapsulation of Lactobacillus acidophilus La-5 by spray-drying using sweet whey and skim milk as encapsulating materials.

The aim of this study was to evaluate the effect of encapsulating material on encapsulation yield, resistance to passage through simulated gastrointestinal conditions, and viability of Lactobacillus acidophilus La-5 during storage. Microparticles were produced from reconstituted sweet whey or skim milk (30% total solids) inoculated with a suspension of L. acidophilus La-5 (1% vol/vol) and subjected to spray-drying at inlet and outlet temperatures of 180°C and 85 to 95°C, respectively. The samples were packed, vacuum-sealed, and stored at 4°C and 25°C. Encapsulation yield, moisture content, and resistance of microencapsulated L. acidophilus La-5 compared with free cells (control) during exposure to in vitro gastrointestinal conditions (pH 2.0 and 7.0) were evaluated. Viability was assessed after 0, 7, 15, 30, 45, 60, and 90d of storage. The experiments were repeated 3 times and data were analyzed by ANOVA and Tukey test for the comparison between means. The encapsulating material did not significantly affect encapsulation yield, average diameter, or moisture of the particles, which averaged 76.58±4.72%, 12.94±0. 78μm, and 4.53±0.32%, respectively. Both microparticle types were effective in protecting the probiotic during gastrointestinal simulation, and the skim milk microparticles favored an increase in viability of L. acidophilus La-5. Regardless of the encapsulating material and temperature of storage, viability of the microencapsulated L. acidophilus La-5 decreased on average 0.43 log cfu/g at the end of 90d of storage, remaining higher than 10(6)cfu/g.