Miracle-dz/UniFAR-FTUs huggingface dataset:
Importance of early postnatal weight gain for normal retinal angiogenesis in very preterm infants: a multicenter study analyzing weight velocity deviations for the prediction of retinopathy of prematurity.

OBJECTIVE To assess WINROP (https://winrop.com), an algorithm using postnatal weight measurements, as a tool for the prediction of retinopathy of prematurity (ROP) in a large geographically and racially diverse study population. METHODS WINROP analysis was performed retrospectively on conventionally at-risk infants from 10 neonatal intensive careunits.Weight measurements were entered into WINROP, which signals an alarm for an abnormal weight gain rate. Infants were classified into categories of no alarm (unlikely to develop type 1ROP)and alarm (at risk for developing type 1ROP). Use of WINROP requires that an infant has (1) gestational age less than 32 weeks at birth, (2) weekly weight measurements,(3) physiologic weight gain,and(4)absence of other pathologic retinal vascular disease. RESULTS A total of 1706 infants with a median gestational age of 28 weeks (range, 22-31 weeks) and median birth weight of 1016 g (range, 378-2240 g) were included in the study analysis. An alarm occurred in 1101 infants (64.5%), with a median time from birth to alarm of 3 weeks (range, 0-12 weeks) and from alarm to treatment of 8 weeks (range, 1 day to 22 weeks). The sensitivity of WINROP was 98.6% and the negative predictive value was 99.7%. Two infants with type 1 ROP requiring treatment after 40 weeks' postmenstrual age did not receive an alarm. CONCLUSION The WINROP system is a useful adjunct for ROP screening that identifies high-risk infants early to optimize care and potentially reduce the overall number of diagnostic ROP examinations.
Single and Four-Element  $Ka$-Band Transmit/Receive Phased-Array Silicon RFICs With 5-bit Amplitude and Phase Control

Ka-band SiGe BiCMOS single- and four-element phased arrays capable of both transmit and receive operation with 5-bit phase and amplitude control are presented. The design is based on the All-RF architecture with RF phase shifters and attenuators, and a 4:1 passive power combining/dividing network. The four-element array results in an average gain of ~ 0 dB per channel and a noise figure of 9.0 dB, and is designed to be placed behind III-V T/R modules. The rms phase error is 5.6° (5-bit operation) and < 12.5° (4-bit operation) over a 2 or 5 GHz instantaneous bandwidth, respectively, centered at around 36.5 GHz. In the receive mode, the input P1dB is -16 dBm per channel (IIP3 of - 5.9 dBm), and in the transmit mode, the output P1dB is +4-5 dBm, all at 35-36 GHz. The measured isolation between the channels is better than 30 dB. The array maintained excellent phase characteristics up to 100°C with no change in the rms phase error. Also, ten different four-element phased arrays were tested (40 channels) and result in an rms gain variation of 0.5 dB at 34-39 GHz. The four-element array consumes 171 and 142 mW in the Tx and Rx modes from 1.8 V, and occupies an area of 2.0 × 2.02 mm2. To our knowledge, this is the smallest and lowest power consumption on-chip K ¿-band phased-array to-date.
Graph Pattern Matching: Do We Have to Reinvent the Wheel?

This paper presents an empirical study of how a wide spectrum of systems handle the graph pattern matching problem. Our approach is to take the well-known LUBM benchmark, model it across various domains (relational, RDF, property graph), and execute the benchmark queries on the corresponding systems. We evaluate the systems using a large data instance on a single machine (the largest dataset is LUBM-8000, which contains over 1 billion RDF triples). Additionally, we provide a brief analysis of how different cases of graph pattern matching problem are stressed by the benchmark queries. Our main finding is that, contrary to popular belief and various vendors' claims, modern native graph stores do not necessarily offer a competitive advantage over traditional relational and RDF stores, even for the graph-specific problem of pattern matching. To the best of our knowledge, this is the first independent empirical comparison of different approaches towards pattern matching performed on a large scale graph.
Temporal evolution of vorticity staircases in randomly strained two-dimensional vortices

The evolution of a Gaussian vortex subject to a weak-external-random n-fold multipolar strain field is examined using fully nonlinear simulations. The simulations show that at large Reynolds numbers, fine scale steps form at the periphery of the vortex, before merging, generally leaving one large step, which acts as a barrier between the vorticity within the coherent core and the surrounding, well mixed, “surf zone. ” It is shown for n = 2 that the width and the number of fine scale steps which initially form at the periphery of the vortex is dependent on the strain parameters, but that the range of radial values for which steps initially occur is only dependent on n and the amplitude of the strain field. A criteria is developed which can predict this range of radial values using the linear stability results of Le Dizes [“Non-axisymmetric vortices in two-dimensional flows,” J. Fluid Mech. 406, 175 (2000)]. This criteria is based upon the perturbation vorticity needing to be larger than some fraction of the.
Individual Differences in the Benefits of Feedback for Learning

Objective: Research on learning from feedback has produced ambiguous guidelines for feedback design—some have advocated minimal feedback, whereas others have recommended more extensive feedback that highly supported performance. The objective of the current study was to investigate how individual differences in cognitive resources may predict feedback requirements and resolve previous conflicted findings. Method: Cognitive resources were controlled for by comparing samples from populations with known differences, older and younger adults. To control for task demands, a simple rule-based learning task was created in which participants learned to identify fake Windows pop-ups. Pop-ups were divided into two categories—those that required fluid ability to identify and those that could be identified using crystallized intelligence. Results: In general, results showed participants given higher feedback learned more. However, when analyzed by type of task demand, younger adults performed comparably with both levels of feedback for both cues whereas older adults benefited from increased feedback for fluid ability cues but from decreased feedback for crystallized ability cues. Conclusion: One explanation for the current findings is feedback requirements are connected to the cognitive abilities of the learner—those with higher abilities for the type of demands imposed by the task are likely to benefit from reduced feedback. Application: We suggest the following considerations for feedback design: Incorporate learner characteristics and task demands when designing learning support via feedback.
Acetylcholine release from the rabbit retina mediated by kainate receptors

The cholinergic amacrine cells of the rabbit retina may be labeled with 3H-choline (3H-Ch), and the activity of the cholinergic population may be monitored by following the release of 3H-ACh. Glutamate analogs caused massive ACh release, up to 50 times the basal efflux, with the following rank order of potency: alpha-amino-3-hydroxy-5-methyl-4- isoxazolepropionic acid (AMPA) greater than quisqualate (QQ) = kainate (KA) much greater than NMDA (in magnesium-free medium) much greater than glutamate greater than aspartate. In contrast, the release of 3H- Ch was unchanged. Submaximal doses of each agonist were used to establish the specifity of glutamate antagonists. Kynurenic acid was selective for KA much greater than QQ, and 6,7-dinitroquinoxaline-2,3- dione (DNQX) was selective for KA greater than QQ much greater than NMDA. At low doses, which selectively blocked the response to KA, both antagonists blocked the light-evoked release of ACh. These results suggest that ACh release may be produced via several glutamate receptors, but the physiological input to the cholinergic amacrine cells is mediated by KA receptors. Because these cells receive direct input from cone bipolar cells, this work supports previous evidence that the bipolar cell transmitter is glutamate.
The Effects of Music on Student Step Counts and Time in Activity in College Basketball Activity Classes

Music is a powerful influence in life. We hear music at work, in the car, at the mall, and in our homes. Music has also been found to have an affect during physical activity. The purpose of this study was to examine the effects of music on physical activity rates, via pedometers, of college-aged students in basketball class. For this study 106 college-aged students participated in this study. Two classes played basketball with no music playing during game play. Two other classes played basketball with music playing during game play. It was found that the two classes that played basketball with music took more steps and were in more time in activity.
Tolerogenic dendritic cells and negative vaccination in transplantation: from rodents to clinical trials

The use of immunosuppressive (IS) drugs to treat transplant recipients has markedly reduced the incidence of acute rejection and early graft loss. However, such treatments have numerous adverse side effects and fail to prevent chronic allograft dysfunction. In this context, therapies based on the adoptive transfer of regulatory cells are promising strategies to induce indefinite transplant survival. The use of tolerogenic dendritic cells (DC) has shown great potential, as preliminary experiments in rodents have demonstrated that administration of tolerogenic DC prolongs graft survival. Recipient DC, Donor DC, or Donor Ag-pulsed recipient DC have been used in preclinical studies and administration of these cells with suboptimal immunosuppression increases their tolerogenic potential. We have demonstrated that autologous unpulsed tolerogenic DC injected in the presence of suboptimal immunosuppression are able to induce Ag-specific allograft tolerance. We derived similar tolerogenic DC in different animal models (mice and non-human primates) and confirmed their protective abilities in vitro and in vivo. The mechanisms involved in the tolerance induced by autologous tolerogenic DC were also investigated. With the aim of using autologous DC in kidney transplant patients, we have developed and characterized tolerogenic monocyte-derived DC in humans. In this review, we will discuss the preclinical studies and describe our recent results from the generation and characterization of tolerogenic monocyte-derived DC in humans for a clinical application. We will also discuss the limits and difficulties in translating preclinical experiments to theclinic.
Energy Efficient Neurons With Generalized Inverse Gaussian Conditional and Marginal Hitting Times

Neuronal information processing is energetically costly. Energy supply restrictions on information processing have resulted in the evolution of brains to compute and communicate information with remarkable energy efficiency. Indeed, energy minimization subject to functional constraints is a unifying principle. Toward better comprehension of neuronal information processing and communication from an information-energy standpoint, we consider a continuous time, continuous state-space neuron model with a generalized inverse Gaussian (GIG) conditional density. This GIG model arises from a Lévy diffusion that contains both homogeneous Poisson processes and Wiener processes with drift as special cases. We show that, when the energy constraints consist of a tripartite family apropos of the GIG model, the distribution of input excitation, A, that maximizes bits per Joule (bpJ) generates an output interspike interval duration T that possesses a related GIG marginal distribution. Most importantly, we obtain the exact expression for the bpJ-maximizing distribution of A in terms of Bessel functions that are readily evaluated numerically. This permits display of the strictly concave curves of bpJ-maximized mutual information I(A; T). Because bpJ equals bits per second/watt, these curves serve as the Shannon-theory capacity v. power curves for GIG neuron models. We show that the noise in GIG channels is essentially multiplicative, so our results may have significance for broader classes of fading channels.
Prevalence and determinants of caesarean section in South and South-East Asian women

Background Caesarean section is considered a preferable and safe method of delivery. In the last decade, its prevalence has increased in both developed and developing countries. In the context of developing countries viz., South Asia (the highest populated region) and South-east Asia (the third highest populated region), the preference for, and variation in, caesarean section delivery and its associated maternal socioeconomic characteristics are still to be determined. Objective To study the magnitude of caesarean delivery in the South and South-east Asian countries, by correlating the maternal socioeconomic characteristics with the preference for caesarean sections. Methodology Data on ever-married women of nine developing countries of South and South-east Asia viz., Vietnam, India, Maldives, Timor-Leste, Nepal, Indonesia, Pakistan, Bangladesh and Cambodia, from Demographic and Health Survey has considered. Both bivariate and multivariate binary logistic regression models were used to estimate the probability that a woman undergoes caesarean section and to assess the influence of maternal socioeconomic characteristics towards the preference for caesarean section. Conclusion In seven urban and four rural regions of nine South and South-East Asian countries, a significant inclination towards the caesarean delivery above the more recent outdate WHO recommended optimal range of 10-15% or the more recent study by top researchers of 19% has been found. The analysis confirmed that the prevalence of caesarean section and its associated maternal socioeconomic characteristics varied widely among these nine South and South-East Asian countries.
Novel motor phenotypes in patients with VRK1 mutations without pontocerebellar hypoplasia

Objective: To describe the phenotypes in 2 families with vaccinia-related kinase 1 (VRK1) mutations including one novel VRK1 mutation. Methods: VRK1 mutations were found by whole exome sequencing in patients presenting with motor neuron disorders. Results: We identified pathogenic mutations in the VRK1 gene in the affected members of 2 families. In family 1, compound heterozygous mutations were identified in VRK1, c.356A>G; p.H119R, and c.1072C>T; p.R358*, in 2 siblings with adult onset distal spinal muscular atrophy (SMA). In family 2, a novel VRK1 mutation, c.403G>A; p.G135R and c.583T>G; p.L195V, were identified in a child with motor neuron disease. Conclusions: VRK1 mutations can produce adult-onset SMA and motor neuron disease in children without pontocerebellar hypoplasia.
Detecting High-Order Epistasis in Nonlinear Genotype-Phenotype Maps

High-order epistasis has been observed in many genotype-phenotype maps. These multi-way interactions between mutations may be useful for dissecting complex traits and could have profound implications for evolution. Alternatively, they could be a statistical artifact. High-order epistasis models assume the effects of mutations should add, when they could in fact multiply or combine in some other nonlinear way. A mismatch in the “scale” of the epistasis model and the scale of the underlying map would lead to spurious epistasis. In this article, we develop an approach to estimate the nonlinear scales of arbitrary genotype-phenotype maps. We can then linearize these maps and extract high-order epistasis. We investigated seven experimental genotype-phenotype maps for which high-order epistasis had been reported previously. We find that five of the seven maps exhibited nonlinear scales. Interestingly, even after accounting for nonlinearity, we found statistically significant high-order epistasis in all seven maps. The contributions of high-order epistasis to the total variation ranged from 2.2 to 31.0%, with an average across maps of 12.7%. Our results provide strong evidence for extensive high-order epistasis, even after nonlinear scale is taken into account. Further, we describe a simple method to estimate and account for nonlinearity in genotype-phenotype maps.
Protégé-2000: An Open-Source Ontology-Development and Knowledge-Acquisition Environment: AMIA 2003 Open Source Expo

Protégé-2000 is an open-source tool that assists users in the construction of large electronic knowledge bases. It has an intuitive user interface that enables developers to create and edit domain ontologies. Numerous plugins provide alternative visualization mechanisms, enable management of multiple ontologies, allow the use of interference engines and problem solvers with Protégé ontologies, and provide other functionality. The Protégé user community has more than 7000 members.
Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging

Audio tagging aims to perform multi-label classification on audio chunks and it is a newly proposed task in the Detection and Classification of Acoustic Scenes and Events 2016 (DCASE 2016) challenge. This task encourages research efforts to better analyze and understand the content of the huge amounts of audio data on the web. The difficulty in audio tagging is that it only has a chunk-level label without a frame-level label. This paper presents a weakly supervised method to not only predict the tags but also indicate the temporal locations of the occurred acoustic events. The attention scheme is found to be effective in identifying the important frames while ignoring the unrelated frames. The proposed framework is a deep convolutional recurrent model with two auxiliary modules: an attention module and a localization module. The proposed algorithm was evaluated on the Task 4 of DCASE 2016 challenge. State-of-the-art performance was achieved on the evaluation set with equal error rate (EER) reduced from 0.13 to 0.11, compared with the convolutional recurrent baseline system.
Clinical Utility of Interictal High-Frequency Oscillations Recorded with Subdural Macroelectrodes in Partial Epilepsy

Background and Purpose There is growing interest in high-frequency oscillations (HFO) as electrophysiological biomarkers of the epileptic brain. We evaluated the clinical utility of interictal HFO events, especially their occurrence rates, by comparing the spatial distribution with a clinically determined epileptogenic zone by using subdural macroelectrodes. Methods We obtained intracranial electroencephalogram data with a high temporal resolution (2000 Hz sampling rate, 0.05-500 Hz band-pass filter) from seven patients with medically refractory epilepsy. Three epochs of 5-minute, artifact-free data were selected randomly from the interictal period. HFO candidates were first detected by an automated algorithm and subsequently screened to discard false detections. Validated events were further categorized as fast ripple (FR) and ripple (R) according to their spectral profiles. The occurrence rate of HFOs was calculated for each electrode contact. An HFO events distribution map (EDM) was constructed for each patient to allow visualization of the spatial distribution of their HFO events. Results The subdural macroelectrodes were capable of detecting both R and FR events from the epileptic neocortex. The occurrence rate of HFO events, both FR and R, was significantly higher in the seizure onset zone (SOZ) than in other brain regions. Patient-specific HFO EDMs can facilitate the identification of the location of HFO-generating tissue, and comparison with findings from ictal recordings can provide additional useful information regarding the epileptogenic zone. Conclusions The distribution of interictal HFOs was reasonably consistent with the SOZ. The detection of HFO events and construction of spatial distribution maps appears to be useful for the presurgical mapping of the epileptogenic zone.
Hydrological Modelling in the Lake Tana Basin, Ethiopia Using SWAT Model

The SWAT2005 model was applied to the Lake Tana Basin for modeling of the hydrological water balance. The main objective of this study was to test the performance and feasibility of the SWAT model for prediction of stream- flow in the Lake Tana Basin. The model was calibrated and validated on four tributaries of Lake Tana; Gumera, GilgelA- bay, Megech and Ribb rivers using SUFI-2, GLUE and ParaSol algorithms. The sensitivity analysis of the model to sub- basin delineation and HRU definition thresholds showed that the flow is more sensitive to the HRU definition thresholds than subbasin discretization effect. SUFI-2 and GLUE gave good result. All sources of uncertainties were captured by bracketing more than 60% of the observed river discharge. Baseflow (40% - 60%) is an important component of the total discharge within the study area that contributes more than the surface runoff. The calibrated model can be used for further analysis of the effect of climate and land use change as well as other different management scenarios on streamflow and soil erosion.
HI in the protocluster environment at z > 2: absorbing haloes and the Lyα forest

We present VLT-UVES echelle spectra of the Lyemission and absorption in five radio galax- ies at redshifts z=2.55-4.1. Together with data from our pilot study, we have a sample of 7 such systems with radio source sizes ∼ 1 − 90 kpc with which to address the origin of the absorbing gas. Echelle resolution again reveals that some systems with NHI > 10 18 cm 2 in lower resolution data in fact consist of several weaker absorbers with NHI 2.
Emotional Labor and Organizational Commitment among Hospital Nurses: The Mediating Role of Job Burnout

The increasing interaction between employees and consumers is one of the common phenomenon occurred in the development of service sector which involves certain emotional expression. Emotions at work can be related to job burnout and other work outcomes such as employees’ organizational commitment. Emotions at work and its outcomes are deemed important in occupation such as hospital nurse as they can affect the quality of service given to the patients. This study aims to analyze the effect of emotional labor toward organizational commitment and the role of job burnout as mediator using Structural Equation Modeling (SEM) method. Research data were collected from 330 hospital nurses using questionnaire. The study result showed that emotional labor has a positive effect toward job burnout, job burnout has a negative effect toward organizational commitment, meanwhile emotional labor has no significant direct effect toward organizational commitment, but was found mediated by job burnout. Future directions can be utilized to improve the hospital nurses’ behaviors at work in providing health services. Type of Paper: Empirical