Miracle-dz/UniFAR-FTUs huggingface dataset:
Complexity-Based Pedagogy for E-Learning: Description of Emergence in a Graduate Nursing Program

This paper describes the kind of engagement and emergent learning that happened in three different sections of a graduate nursing course. Three nursing educators used an e-learning platform called Daagu that was developed by faculty guided by complexity pedagogy. A total of 43 students were enrolled in the full credit foundations course in theory and philosophy. Authors describe two specific instances of emergent learning: one was expressed by students in relation to a particular resource (article, TedTalk, YouTube, Poem) or discussion, and the second is in relation to specific “aha moments” or shifts in understanding that changed student attitudes and actions. Quotes of emergent learning provide a source of narrative data for conversing about and developing quality e-learning platforms for students and educators.
PREDICTION OF ADHD DIAGNOSIS 1 Network , anatomical , and nonimaging measures for the prediction of ADHD diagnosis in individual subjects

Brain imaging methods have long held promise as diagnostic aids for neuropsychiatric conditions with complex behavioral phenotypes such as Attention-Deficit/Hyperactivity Disorder. This promise has largely been unrealized, at least partly due to the heterogeneity of clinical populations and the small sample size of many studies. A large, multi-center dataset provided by the ADHD-200 Consortium affords new opportunities to test methods for individual diagnosis based on MRI-observable structural brain attributes and functional interactions observable from resting state fMRI. In this study, we systematically calculated a large set of standard and new quantitative markers from individual subject datasets. These features (>12,000 per subject) consisted of local anatomical attributes such as cortical thickness and structure volumes, and both local and global resting state network measures. Three methods were used to compute graphs representing interdependencies between activations in different brain areas, and a full set of network features was derived from each. Of these, features derived from the inverse of the time series covariance matrix, under an L1-norm regularization penalty, proved most powerful. Anatomical and network feature sets were used individually, and combined with non-imaging phenotypic features from each subject. Machine learning algorithms were used to rank attributes, and performance was assessed under cross-validation and on a separate test set of 168 subjects for a variety of feature set combinations. While non-imaging features gave highest performance in cross-validation, the addition of imaging features in sufficient numbers led to improved generalization to new data. Stratification by gender also proved to be a fruitful strategy to improve classifier performance. We describe the overall approach used, compare the predictive power of different classes of features, and describe the most impactful features in relation to the current literature.
Characterizing human perception of emergent swarm behaviors

Human swarm interaction (HSI) involves operators gathering information about a swarm's state as it evolves, and using it to make informed decisions on how to influence the collective behavior of the swarm. In order to determine the proper input, an operator must have an accurate representation and understanding of the current swarm state, including what emergent behavior is currently happening. In this paper, we investigate how human operators perceive three types of common, emergent swarm behaviors: rendezvous, flocking, and dispersion. Particularly, we investigate how recognition of these behaviors differ from each other in the presence of background noise. Our results show that, while participants were good at recognizing all behaviors, there are indeed differences between the three, with rendezvous being easier to recognize than flocking or dispersion. Furthermore, differences in recognition are also affected by viewing time for flocking. Feedback from participants was also especially insightful for understanding how participants went about recognizing behaviors—allowing for potential avenues of research in future studies.
Screening for Chronic Obstructive Pulmonary Disease: Validity and Reliability of a Portable Device in Non-Specialized Healthcare Settings

Introduction and Objectives The underdiagnosis of chronic obstructive pulmonary disease (COPD) could be improved through screening using portable devices simpler than conventional spirometers in specific healthcare settings to reach a higher percentage of the at-risk population. This study was designed to assess the validity and reliability of the COPD-6 portable device to screen for COPD in non-specialized healthcare settings. Methods Prospective cohort study to validate a diagnostic test. Three cohorts were recruited: primary care (PC), emergency services (ES) and community pharmacies (CPh). Study population: individuals with risk factors for COPD (>40 years, smoking >10 pack-years, with respiratory symptoms). The values measured using the COPD-6 were FEV1, FEV6 and the FEV1/FEV6 ratio. Subsequently, participants underwent conventional spirometry at hospital, using a post-bronchodilator FEV1/FVC value <0.7 as the gold standard criterion for the COPD diagnosis. Results 437 participants were included, 362 were valid for the analysis. COPD was diagnosed in 114 patients (31.5%). The area under the ROC curve for the COPD-6 for COPD screening was 0.8. The best cut-off point for the FEV1/FEV6 ratio was 0.8 (sensitivity, 92.1%) using spirometry with the bronchodilator test as the gold standard. There were practically no differences in the COPD-6 performancein the different settings and also regarding age, gender and smoking status. Conclusions The COPD-6 device is a valid tool for COPD screening in non-specialized healthcare settings. In this context, the best cut-off point for the FEV1/FEV6 ratio is 0.8.
Application of Genotyping-by-Sequencing on Semiconductor Sequencing Platforms: A Comparison of Genetic and Reference-Based Marker Ordering in Barley

The rapid development of next-generation sequencing platforms has enabled the use of sequencing for routine genotyping across a range of genetics studies and breeding applications. Genotyping-by-sequencing (GBS), a low-cost, reduced representation sequencing method, is becoming a common approach for whole-genome marker profiling in many species. With quickly developing sequencing technologies, adapting current GBS methodologies to new platforms will leverage these advancements for future studies. To test new semiconductor sequencing platforms for GBS, we genotyped a barley recombinant inbred line (RIL) population. Based on a previous GBS approach, we designed bar code and adapter sets for the Ion Torrent platforms. Four sets of 24-plex libraries were constructed consisting of 94 RILs and the two parents and sequenced on two Ion platforms. In parallel, a 96-plex library of the same RILs was sequenced on the Illumina HiSeq 2000. We applied two different computational pipelines to analyze sequencing data; the reference-independent TASSEL pipeline and a reference-based pipeline using SAMtools. Sequence contigs positioned on the integrated physical and genetic map were used for read mapping and variant calling. We found high agreement in genotype calls between the different platforms and high concordance between genetic and reference-based marker order. There was, however, paucity in the number of SNP that were jointly discovered by the different pipelines indicating a strong effect of alignment and filtering parameters on SNP discovery. We show the utility of the current barley genome assembly as a framework for developing very low-cost genetic maps, facilitating high resolution genetic mapping and negating the need for developing de novo genetic maps for future studies in barley. Through demonstration of GBS on semiconductor sequencing platforms, we conclude that the GBS approach is amenable to a range of platforms and can easily be modified as new sequencing technologies, analysis tools and genomic resources develop.
Oceanic sources, sinks, and transport of atmospheric CO2

We synthesize estimates of the contemporary net air‐sea CO2 flux on the basis of an inversion of interior ocean carbon observations using a suite of 10 ocean general circulation models (Mikaloff Fletcher et al., 2006, 2007) and compare them to estimates based on a new climatology of the air‐sea difference of the partial pressure of CO2 (pCO2) (Takahashi et al., 2008). These two independent flux estimates reveal a consistent description of the regional distribution of annual mean sources and sinks of atmospheric CO2 for the decade of the 1990s and the early 2000s with differences at the regional level of generally less than 0.1 Pg C a−1. This distribution is characterized by outgassing in the tropics, uptake in midlatitudes, and comparatively small fluxes in thehigh latitudes. Both estimates point toward a small (∼ −0.3 Pg C a−1) contemporary CO2 sink in the Southern Ocean (south of 44°S), a result of the near cancellation between a substantial outgassing of natural CO2 and a strong uptake of anthropogenic CO2. A notable exception in the generally good agreement between the two estimates exists within the Southern Ocean: the ocean inversion suggests a relatively uniform uptake, while the pCO2‐based estimate suggests strong uptake in the region between 58°S and 44°S, and a source in the region south of 58°S. Globally and for a nominal period between 1995 and 2000, the contemporary net air‐sea flux of CO2 is estimated to be −1.7 ± 0.4 Pg C a−1 (inversion) and −1.4 ± 0.7 Pg C a−1 (pCO2‐climatology), respectively, consisting of an outgassing flux of river‐derived carbon of ∼+0.5 Pg C a−1, and an uptake flux of anthropogenic carbon of −2.2 ± 0.3 Pg C a−1 (inversion) and −1.9 ± 0.7 Pg C a−1 (pCO2‐climatology). The two flux estimates also imply a consistent description of the contemporary meridional transport of carbon with southward ocean transport throughout most of the Atlantic basin, and strong equatorward convergence in the Indo‐Pacific basins. Both transport estimates suggest a small hemispheric asymmetry with a southward transport of between −0.2 and −0.3 Pg C a−1 across the equator. While the convergence of these two independent estimates is encouraging and suggests that it is now possible to provide relatively tight constraints for the net air‐sea CO2 fluxes at the regional basis, both studies are limited by their lack of consideration of long‐term changes in the ocean carbon cycle, such as the recent possible stalling in the expected growth of the Southern Ocean carbon sink.
XMM-NEWTON AND OPTICAL OBSERVATIONS OF CATACLYSMIC VARIABLES FROM THE SLOAN DIGITAL SKY SURVEY

We report on XMM-Newton and optical results for six cataclysmic variables that were selected from Sloan Digital Sky Survey (SDSS) spectra because they showed strong He ii emission lines, indicative of being candidates for containing white dwarfs with strong magnetic fields. While high X-ray background rates prevented optimum results, we are able to confirm SDSS J233325.92+152222.1 as an intermediate polar from its strong pulse signature at 21 minutes and its obscured hard X-ray spectrum. Ground-based circular polarization and photometric observations were also able to confirm SDSS J142256.31 − 022108.1 as a polar with a period near 4 hr. Photometry of SDSS J083751.00+383012.5 and SDSS J093214.82+495054.7 solidifies the orbital period of the former as 3.18 hr and confirms the latter as a high-inclination system with deep eclipses.
Exposure to silver nanoparticles induces oxidative stress and memory deficits in laboratory rats

Currently most of the applications of silver nanoparticles are in antibacterial/antifungal agents in medicine and biotechnology, textile engineering, water treatment and silver-based consumer products. However, the effects of silver nanoparticles on human body, especially on the central nervous system, are still unclear. To study the mechanisms underlying the effects of silverpoly(amidehydroxyurethane) coated silver nanoparticles on brain functions, we subjected male Wistar rats to chronic treatments with silver-29 nm (5 µg/kg and 10 µg/kg) and silver-23 nm (5 µg/kg and 10 µg/kg) nanoparticles for 7 days. We evaluated the effects of nanoparticles size and structure on rat memory function. Memory processes were studied by means of two cognitive tasks (Y-maze and radial arm-maze). Exposure to silver nanoparticles significantly decreased spontaneous alternation in the Y-maze task and working memory functions in the radial arm-maze task, suggesting that nanoparticles have effects on short-term memory. We found no effects on long-term memory, which we assessed by reference memory trials in the radial arm-maze task. We found that memory deficits were significantly correlated with oxidative stress generation only in the Y-maze task. Our findings suggest that silver nanoparticles may induce an impairment of memory functions by increasing oxidative stress in the brain. The use of silver nanoparticles for medical purposes therefore requires careful consideration, particularlyif it involves exposure of the human brain.
Decreased Frequencies of Circulating Follicular Helper T Cell Counterparts and Plasmablasts in Ankylosing Spondylitis Patients Naïve for TNF Blockers

Follicular helper T cells (Tfh), localized in lymphoid organs, promote B cell differentiation and function. Circulating CD4 T cells expressing CXCR5, ICOS and/or PD-1 are counterparts of Tfh. Three subpopulations of circulating CD4+CXCR5+ cells have been described: CXCR3+CCR6- (Tfh-Th1), CXCR3-CCR6+ (Tfh-Th17), and CXCR3-CCR6- (Tfh-Th2). Only Tfh-Th17 and Tfh-Th2 function as B cell helpers. Our objective was to study the frequencies of circulating Tfh (cTfh), cTfh subsets and plasmablasts (CD19+CD20-CD27+CD38high cells), and the function of cTfh cells, in patients with Ankylosing Spondylitis (AS). To this end, peripheral blood was drawn from healthy controls (HC) (n = 50), AS patients naïve for TNF blockers (AS/nb) (n = 25) and AS patients treated with TNF blockers (AS/b) (n = 25). The frequencies of cTfh and plasmablasts were determined by flow cytometry. Cocultures of magnetically sorted CD4+CXCR5+ T cells with autologous CD19+CD27- naïve B cells were established from 3 AS/nb patients and 3 HC, and concentrations of IgG, A and M were measured in supernatants. We obseved that AS/nb but not AS/b patients, demonstrated decreased frequencies of circulating CD4+CXCR5+ICOS+PD-1+ cells and plasmablasts, together with a decreased (Tfh-Th17+Tfh-Th2)/Tfh-Th1 ratio. The amounts of IgG and IgA produced in cocultures of CD4+CXCR5+ T cells with CD19+CD27- B cells of AS/nb patients were significantly lower than observed in cocultures established from HC. In summary, AS/nb but not AS/b patients, demonstrate a decreased frequency of cTfh and plasmablasts, and an underrepresentation of cTfh subsets bearing a B helper phenotype. In addition, peripheral blood CD4+CXCR5+ T cells of AS/nb patients showed a decreased capacity to help B cells ex vivo.
C 1 , α regularity of solutions of degenerate fully non-linear elliptic equations

In the present paper, a class of fully non-linear elliptic equations are considered, which are degenerate as the gradient becomes small. Hölder estimates obtained by the first author (2011) are combined with new Lipschitz estimates obtained through the Ishii-Lions method in order to get C 1,α estimates for solutions of these equations.
Data and performativity in doctoral education: Information gaps and suggestions for overcoming them

Since the mid-1990s, there has been an abrupt growth of doctoral enrollments and doctoral programs in Argentina and Latin America. However, completion rates at this education level are far from satisfying. Attrition rates in Social Sciences doctoral programs “are known” to be high, and higher in Social Sciences and Humanities (which will be later called “Soft Sciences”) than in STEM (which will be later called “Hard Sciences”) disciplines, although there are no valid and reliable data. In order to address this problem, we carried out an investigation with two objectives: (1) to measure performance (efficiency or productivity) in 18 doctoral programs in STEM disciplines, the Social Sciences, and Humanities at various universities in Buenos Aires city and the surrounding Metropolitan Area; and (2) to design a procedure for collecting valid and reliable information that would allow us to assess doctoral programs' performance. This measure was defined along two dimensions: completion rates (regular time rates and extra time rates) and average time-to-degree by cohort. We compiled data on individuals' academic tracks in each cohort from their enrollment to their completion or dropout by using paper-files and digitized databases provided by academic departments. Information was analyzed by program, by cohort, and by six grouped cohorts for 2001-2006. Substantive and methodological results were found. Among the substantive results, we discovered better performance in STEM disciplines than in the Social Sciences and Humanities. As to the methodological results, postgraduate statistical registering matrix was designed and a series of recommendations are presented for use by doctoral programs and graduate programs generally.
Micro-CT Imaging Reveals Mekk3 Heterozygosity Prevents Cerebral Cavernous Malformations in Ccm2-Deficient Mice

Mutations in CCM1 (aka KRIT1), CCM2, or CCM3 (aka PDCD10) gene cause cerebral cavernous malformation in humans. Mouse models of CCM disease have been established by deleting Ccm genes in postnatal animals. These mouse models provide invaluable tools to investigate molecular mechanism and therapeutic approaches for CCM disease. However, the full value of these animal models is limited by the lack of an accurate and quantitative method to assess lesion burden and progression. In the present study we have established a refined and detailed contrast enhanced X-ray micro-CT method to measure CCM lesion burden in mouse brains. As this study utilized a voxel dimension of 9. 5μm (leading to a minimum feature size of approximately 25μm), it is therefore sufficient to measure CCM lesion volume and number globally and accurately, and provide high-resolution 3-D mapping of CCM lesions in mouse brains. Using this method, we found loss of Ccm1 or Ccm2 in neonatal endothelium confers CCM lesions in the mouse hindbrain with similar total volume and number. This quantitative approach also demonstrated a rescue of CCM lesions with simultaneous deletion of one allele of Mekk3. This method would enhance the value of the established mouse models to study the molecular basis and potential therapies for CCM and other cerebrovascular diseases.
Searching for Non-Keynesian Effects of Fiscal Policy

We search for the circumstances in which the response of national saving to fiscal policy contradicts conventional Keynesian predictions, using data from 18 OECD countries. The data suggest that non-Keynesian effects tend to be associated with large and persistent fiscal impulses. Such responses can be traced to changes in taxes and transfers more than to changes in government consumption and are stronger for fiscal contractions than expansions. During large contractions an increase in taxes has no effect on national saving. High or rapidly growing public debt is not a good predictor of non-Keynesian effects. Finally, the composition of the fiscal impulse matters: the non-Keynesian effects of a large fiscal contraction are amplified when this is carried out primarily by raising taxes.
General Model and Logic of Resource-Bounded Believers

This paper presents an abstract general model for representing the belief systems of resource-bounded reasoning agents. The intuition which underlies this new model is that it is possible to capture the key properties of many different types of belief system in a structure called a belief extension relation. The paper shows how such a relation may be derived for any system that satisfies some basic properties. The resulting formalism is simple, and yet suf-ficiently rich that it generalises many other frameworks for representing belief. A logic is defined, using the new model to give a semantics to belief modalities. The properties of the model and logic are discussed in detail. The paper closes with a discussion and remarks on future work.
Effect of Aerosol Devices and Administration Techniques on Drug Delivery in a Simulated Spontaneously Breathing Pediatric Tracheostomy Model

BACKGROUND: This study was conducted to compare the efficiency of jet nebulizers, vibrating mesh nebulizers, and pressurized metered-dose inhalers (pMDI) during assisted and unassisted administration techniques using a simulated spontaneously breathing pediatric model with a tracheostomy tube (TT). METHODS: An in vitro breathing model consisting of an uncuffed TT (4.5-mm inner diameter) was attached to a collecting filter (Respirgard) connected to a dual-chamber test lung and a ventilator (Hamilton Medical) to simulate breathing parameters of a 2-y-old child (breathing frequency, 25 breaths/min; tidal volume, 150 mL; inspiratory time, 0.8 s; peak inspiratory flow, 20 L/min). Albuterol sulfate was administered using a jet nebulizer (MicroMist, 2.5 mg/3 mL), vibrating mesh nebulizer (Aeroneb Solo, 2.5 mg/3 mL), and pMDI (ProAir HFA, 432 μg). Each device was tested 5 times with an unassisted technique (direct administration of aerosols with simulated spontaneous breathing) and with an assisted technique (using a manual resuscitation bag in conjunction with an aerosol device and synchronized with inspiration). Drug collected on the filter was analyzed by spectrophotometry. RESULTS: With the unassisted technique, the pMDI had the highest inhaled mass percent (IM%, 47.15 ± 7.82%), followed by the vibrating mesh nebulizer (19.77 ± 2.99%) and the jet nebulizer (5.88 ± 0.77%, P = .002). IM was greater with the vibrating mesh nebulizer (0.49 ± .07 mg) than with the pMDI (0.20 ± 0.03 mg) and the jet nebulizer (0.15 ± 0.01 mg, P = .007). The trend of lower deposition with the assisted versus unassisted technique was not significant for the jet nebulizer (P = .46), vibrating mesh nebulizer (P = .19), and pMDI (P = .64). CONCLUSIONS: In this in vitro pediatric breathing model with a TT, the pMDI delivered the highest IM%, whereas the vibrating mesh nebulizer delivered the highest IM. The jet nebulizer was the least efficient device. Delivery efficiency was similar with unassisted and assisted administration techniques.
On-Silicon Neural Activity Monitoring and Time-Frequency Analysis for Early Detection of Epileptic Seizures

We present an architecture and very-large-scale integration (VLSI) implementation of a microsystem for neural activity monitoring and time-frequency analysis. The key functional blocks of the microsystem, the integrated neural interface and the wavelet transform processor, have been prototyped in a 0.35-μm standard complementary metaloxide-semiconductor (CMOS) technology. Its utility is validated in autonomous early detection of epileptic seizures in an in vitro epilepsy model of recurrent spontaneous seizures in mouse hippocampal brain slices.