Miracle-dz/UniFAR-FTUs huggingface dataset:
Breaking Down the Silos to Decrease Internal Diversions and Patient Flow Delays

Hospitals strive to admit patients to the units where caregiver competencies align with the patient's condition. When the hospital's census peaks, internal diversions and the associated risks increase, which are intensified when silos exist, as segregated care negatively impacts collaboration and patient safety. In this study, a 600+-bed academic, tertiary care specialty hospital experienced an increase in internal diversions. Within the neuroscience service line, emergent neuroscience transfers from outside hospitals had been declined or internally diverted because of capacity limitations. Formalized processes for improving collaboration between health care providers related to capacity issues were required to decrease internal diversions and improve patient flow and patient safety. A pilot project was conducted on neuroscience units during a process improvement initiative. A hospital-wide internal diversion plan was developed, identifying primary and secondary placement options for all patients requiring hospitalization to support patient flow and patient safety. Forecasting tools were developed to provide units' leadership with current information on expected admissions. Daily capacity huddles were instituted to increase collaboration between patient care units. The interventions trialed during the pilot decreased internal diversions and improved patient flow. The improved collaboration resulted in an 80% decrease in declinations of emergent intensive care unit transfers from outside hospitals due to capacity limitations and a 50% decrease in the number of these patients being internally diverted to alternate intensive care units. The interventions implemented minimized internal diversions and improved patient flow. The transparency of the patient placement process led to an increased collaboration between all participants.
Generalizations of free monoids

We generalize free monoids by defining $k$-monoids. These are nothing other than the one-vertex higher-rank graphs used in $C^{\ast}$-algebra theory with the cardinality requirement waived. The $1$-monoids are precisely the free monoids. We then take the next step and generalize $k$-monoids in such a way that self-similar group actions yield monoids of this type.
Mortality risk among children initially treated with dialysis for end-stage kidney disease, 1990-2010.

IMPORTANCE Most children with end-stage kidney disease (ESKD) are treated with dialysis prior to transplant. It is not known whether their outcomes have changed in recent years. OBJECTIVE To determine if all-cause, cardiovascular, and infection-related mortality rates for children and adolescents beginning dialysis improved between 1990 and 2010. DESIGN, SETTING, AND PARTICIPANTS Retrospective cohort study of patients younger than 21 years initially treated with dialysis for ESKD, recorded in the United States Renal Data System between 1990 and 2010. Children with a prior kidney transplant were excluded. We used Cox proportional hazard models to estimate the hazard ratios (HRs) for mortality associated with a 5-year increment in year of ESKD treatment initiation. Primary analyses censored observation at kidney transplant. MAIN OUTCOMES AND MEASURES All-cause, cardiovascular, and infection-related mortality. RESULTS A total of 3450 children younger than 5 years and 19,951 children 5 years or older started dialysis from 1990-2010. Of those younger than 5 years, 705 died during dialysis treatment (98.8/1000 person-years); mortality rates were 112.2 and 83.4 per 1000 person-years in those initiating dialysis in 1990-1994 and 2005-2010, respectively. Of those 5 years and older at treatment initiation, 2270 died during dialysis treatment (38.6/1000 person-years). Their mortality rates were 44.6 and 25.9 per 1000 person-years in those initiating dialysis in 1990-1994 and 2005-2010, respectively. Each 5-year increment in calendar year of dialysis initiation was associated with an adjusted HR of 0.80 (95% CI, 0.75-0.85) among children younger than 5 years at initiation and an HR of 0.88 (95% CI, 0.85-0.92) among those 5 years and older. RESULTS A total of 23,401 children and adolescents who initiated ESKD treatment with dialysis at younger than 21 years between 1990 and 2010 were identified. Crude mortality rates during dialysis treatment were higher among children younger than 5 years at the start of dialysis compared with those who were 5 years and older. Mortality rates for both children and adolescents being treated for ESKD with dialysis decreased significantly between 1990 and 2010. CONCLUSIONS AND RELEVANCE In the United States, there was a substantial decrease in mortality rates over time among children and adolescents initiating ESKD treatment with dialysis between 1990 and 2010. Further research is needed to determine the specific factors responsible for this decrease.
Influence of Approach Angle on Estimates of Time-To-Contact

Is the retinal periphery as capable of extracting time-to-contact information from a radially expanding optical flow field pattern as the retinal center? To address this proposition, two experiments were performed using both male and female participants viewing graphically generated scenes that depicted one road approaching directly towar them and a second road approaching from a 40 deg. angle to their left. A vehicle could approach the observer along either road and was removed at various times before contact. Participants were required to estimate when the vehicle would have reached their position. Each experiment employed a 2 by 2 by 3 design in which sex was a between-subject variable while vehicle approach trajectory and either vehicle removal distance or vehicle approach velocity were within-subject variables. Results of the experiments indicate the retinal periphery is less sensitive to time-to-contact information than the retinal center. Variations in estimates of time-to.contact increased with ve.
Investigating Program Behavior Using the Texada LTL Specifications Miner

Temporal specifications, relating program events through time, are useful for tasks ranging from bug detection to program comprehension. Unfortunately, such specifications are often lacking from system descriptions, leading researchers to investigate methods for inferring these specifications from code, execution traces, code comments, and other artifacts. This paper describes Texada, a tool to dynamically mine temporal specifications in LTL from traces of program activity. We review Texada's key features and demonstrate how it can be used to investigate program behavior through two scenarios: validating an implementation that solves the dining philosophers problem and supporting comprehension of a stack implementation. We also detail Texada's other, more advanced, usage options. Texada is an open source tool: https://bitbucket.org/bestchai/texada.
Discrete-time decentralized neural backstepping controller for a five DOF robot manipulator

This paper deals with adaptive trajectory tracking for a five DOF robot manipulator, A high order neural network (HONN) is used to approximate a decentralized control law designed by the backstepping technique as applied to a block strict feedback form (BSFF). The HONN learning is performed online by an Extended Kalman Filter (EKF) algorithm. The applicability of the proposed scheme is illustrated via simulations.
Anna Julia Cooper and Africana Womanism: Some Early Conceptual Contributions

The purpose of this essay is to identify and discuss critically some of the fundamental concepts of the womanist philosophy of Anna Julia Cooper and their use in the current understandings of and approaches to Africana womanism. To do this, I will use categories from Clenora Hudson-Weems—definitional typology of Africana womanism. In addition, I will conduct my analysis within an Afrocentric framework as defined and developed by Molefi Kete Asante.
Deaths from Meningococcal Infection in England and Wales in 1978

tion; it was 205 in 1973 compared with 170 in 1959, despite the fact that effective treatment has been available for over forty years and that, more recently, intensive care has been widely available and freely utilised (Fig. 1). In 1978 there were 96 deaths in England and Wales attributed to meningococcal infection in the OPCS mortality statistics[ 1 ]. The question as to whether any of these deaths could have been prevented is the subject of this article.
2 Color Conversion from RGB Space into an Optimum 2 D Space for Pattern

This paper presents an optimum color conversion from the 3D RGB space into a 2D selected space to the purpose of pattern recognition. The method is based on the Karhunen-Loève transform (KLT), also known as Principal Component Analysis (PCA). The resulted 2D space is defined by the two color components (called C1 and C2), corresponding to the two largest eigenvalues of the RGB pixel covariance matrix. Using the above color projection technique, we propose a color face recognition system based on feature fusion of the C1 and C2 components and a concurrent neural network classifier. The proposed system is experimented for a color face database containing 3520 color images of 151 subjects. We also present a color image segmentation using pixel clustering in the 2D color space by means of a self-organizing neural network. The new 2D color projection model may have wide applications in the areas of color-based pattern recognition.
Thinking About Workplace Engagement

The Problem. This study investigated the frequency with which employees (N = 272) in a computer sciences company in the United States were the target of supervisor and coworker incivility as well as the link between this incivility and worker engagement. Participants completed a paper-and-pencil survey consisting of the Workplace Engagement Scale (Shuck) and modified versions of the Workplace Incivility Scale (Cortina, Magley, Williams, & Langhout). The Solution. Results indicated that 78% of the participants had experienced supervisor incivility and 81% had experienced coworker incivility during the past year. MANOVA analysis revealed that females had experienced more coworker incivility and males had experienced more supervisor incivility. Hierarchical regression analyses indicated that after controlling for gender and age, both incivility variables were negative predictors of safety and availability engagement. Specifically, coworker incivility more powerfully predicted safety engagement whereas supervisor incivility was more closely linked with availability engagement. Recommendations for HRD research and practice are discussed. The Stakeholders. Stakeholders include workplace supervisors/managers, HRD professionals, HR managers, organizational leaders, and employees.
Origin and Evolution of Japanese Encephalitis Virus in Southeast Asia

ABSTRACT Since it emerged in Japan in the 1870s, Japanese encephalitis has spread across Asia and has become the most important cause of epidemic encephalitis worldwide. Four genotypes of Japanese encephalitis virus (JEV) are presently recognized (representatives of genotypes I to III have been fully sequenced), but its origin is not known. We have determined the complete nucleotide and amino acid sequence of a genotype IV Indonesian isolate (JKT6468) which represents the oldest lineage, compared it with other fully sequenced genomes, and examined the geographical distribution of all known isolates. JKT6468 was the least similar, with nucleotide divergence ranging from 17.4 to 19.6% and amino acid divergence ranging from 4.7 to 6.5%. It included an unusual series of amino acids at the carboxy terminus of the core protein unlike that seen in other JEV strains. Three signature amino acids in the envelope protein (including E327 Leu→Thr/Ser on the exposed lateral surface of the putative receptor binding domain) distinguished genotype IV strains from more recent genotypes. Analysis of all 290 JEV isolates for which sequence data are available showed that the Indonesia-Malaysia region has all genotypes of JEV circulating, whereas only more recent genotypes circulate in other areas (P < 0.0001). These results suggest that JEV originated from its ancestral virus in the Indonesia-Malaysia region and evolved there into the different genotypes which then spread across Asia. Our data, together with recent evidence on the origins of other emerging viruses, including dengue virus and Nipah virus, imply that tropical southeast Asia may be an important zone for emerging pathogens.
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples

Deep neural network models have demonstrated their effectiveness in classifying multi-label data from various domains. Typically, they employ a training mode that combines mini-batches with optimizers, where each sample is randomly selected with equal probability when constructing mini-batches. However, the intrinsic class imbalance in multi-label data may bias the model towards majority labels, since samples relevant to minority labels may be underrepresented in each mini-batch. Meanwhile, during the training process, we observe that instances associated with minority labels tend to induce greater losses. Existing heuristic batch selection methods, such as priority selection of samples with high contribution to the objective function, i.e., samples with high loss, have been proven to accelerate convergence while reducing the loss and test error in single-label data. However, batch selection methods have not yet been applied and validated in multi-label data. In this study, we introduce a simple yet effective adaptive batch selection algorithm tailored to multi-label deep learning models. It adaptively selects each batch by prioritizing hard samples related to minority labels. A variant of our method also takes informative label correlations into consideration. Comprehensive experiments combining five multi-label deep learning models on thirteen benchmark datasets show that our method converges faster and performs better than random batch selection.
A Differential Redox Regulation of the Pathways Metabolizing Glyceraldehyde-3-Phosphate Tunes the Production of Reducing Power in the Cytosol of Plant Cells

Adaptation to aerobic life leads organisms to sense reactive oxygen species and use the signal for coordination of the entire metabolism. Glycolysis in plants is a particular network where specific steps, like oxidation of glyceraldehydes-3-phosphate (Ga3P), are critical in order for it to function. The triose-phosphate can be converted into 3-phosphoglycerate through the phosphorylating Ga3P dehydrogenase (Ga3PDHase, EC 1.2.1.12) producing ATP and NADH, or via the non-phosphorylating enzyme (np-Ga3PDHase; EC 1.2.1.9) generating NADPH. In this work we found redox regulation to be a posttranslational mechanism allowing the fine-tuning of the triose-phosphate fate. Both enzymes were inactivated after oxidation by reactive oxygen and nitrogen species. Kinetic studies determined that Ga3PDHase is marked (63-fold) more sensitive to oxidants than np-Ga3PDHase. Thioredoxin-h reverted the oxidation of both enzymes (although with differences between them), suggesting a physiological redox regulation. The results support a metabolic scenario where the cytosolic triose-phosphate dehydrogenases are regulated under changeable redox conditions. This would allow coordinate production of NADPH or ATP through glycolysis, with oxidative signals triggering reducing power synthesis in the cytosol. The NADPH increment would favor antioxidant responses to cope with the oxidative situation, while the thioredoxin system would positively feedback NADPH production by maintaining np-Ga3PDHase at its reduced active state.
Sequential Subspace Clustering via Temporal Smoothness

This paper develops a novel sequential subspace clustering method for sequential data. Inspired by state-of-theart methods ordered subspace clustering (OSC) and temporal subspace clustering (TSC), we design a novel local temporal regularization term based on the concept of temporal predictability, which is measured by short-term variance against long-term variance, to recover the temporal smoothness relationships in sequential data. To solve the bi-convex objective function, a simple and efficient optimization algorithm based on the alternate convex search (ACS) method is devised to jointly learn the codings matrix and dictionary. Extensive experimental results and comparisons with state-of-the-art methods on gesture and face datasets demonstrate the effectiveness of the proposed temporal smoothness sequential subspace clustering method for sequential data.
Fourier Transform-Based Scalable Image Quality Measure

We present a new image quality assessment algorithm based on the phase and magnitude of the 2-D discrete Fourier transform. The basic idea is to compare the phase and magnitude of the reference and distorted images to compute the quality score. However, it is well known that the human visual system's sensitivity to different frequency components is not the same. We accommodate this fact via a simple yet effective strategy of non-uniform binning of the frequency components. This process also leads to reduced space representation of the image thereby enabling the reduced-reference (RR) prospects of the proposed scheme. We employ linear regression to integrate the effects of the changes in phase and magnitude. In this way, the required weights are determined via proper training and hence more convincing and effective. Last, using the fact that phase usually conveys more information than magnitude, we use only the phase for RR quality assessment. This provides the crucial advantage of further reduction in the required amount of reference image information. The proposed method is, therefore, further scalable for RR scenarios. We report extensive experimental results using a total of nine publicly available databases: seven image (with a total of 3832 distorted images with diverse distortions) and two video databases (totally 228 distorted videos). These show that the proposed method is overall better than several of the existing full-reference algorithms and two RR algorithms. Additionally, there is a graceful degradation in prediction performance as the amount of reference image information is reduced thereby confirming its scalability prospects. To enable comparisons and future study, a Matlab implementation of the proposed algorithm is available at http://www.ntu. edu.sg/home/wslin/reduced_phase. rar.
Predicting Early School Achievement With the EDI: A Longitudinal Population-Based Study

School readiness tests are significant predictors of early school achievement. Measuring school readiness on a large scale would be necessary for the implementation of intervention programs at the community level. However, assessment of school readiness is costly and time consuming. This study assesses the predictive value of a school readiness measure, the Early Development Instrument (EDI), which relies on kindergarten teachers' ratings of children's well-being and social, emotional, and cognitive development. We also compared the predictive value of the EDI with that of a direct school readiness test and a battery of cognitive tests. Data were collected when the children were in kindergarten and a year later, as part of Quebec's Longitudinal Study of Child Development. We found that that the EDI alone explained 36% of the variance in school achievement. The complete battery of measures explained 50% of the variance in early school achievement. Two of the EDI domains (Physical Health and Well-Being and Language and Cognitive Development) contributed uniquely to the prediction of school achievement over and above the cognitive assessments and direct school readiness test. The social and emotional domains of the EDI were at best marginal predictors of school achievement. In spite of this limitation, we conclude that the EDI predicts early school achievement as accurately as measures that take more time and resources to administer.
OnabotulinumtoxinA decreases interictal CGRP plasma levels in patients with chronic migraine

Abstract OnabotulinumtoxinA (onabotA) has shown efficacy in chronic migraine (CM). Its mechanism of action, however, remains obscure. We have analysed whether treatment with onabotA is able to induce changes in interictal plasma calcitonin gene-related peptide (CGRP) concentrations, which have been shown to be increased in patients with CM. Calcitonin gene-related peptide levels were determined in samples obtained from the right antecubital vein using ELISA, outside a migraine attack and having taken no symptomatic medication in the previous 24 hours, in 83 patients with CM (average age 44 years; 94% females) before and 1 month after treatment with 155 to 195 U of onabotA. CGRP levels after onabotA treatment (median, 51.89 pg/mL; range, 199.4-10.2) were significantly lower as compared with CGRP levels obtained before onabotA treatment (median, 74.09 pg/mL; range, 241.0-11.4; P = 0.001). Pretreatment CGRP levels in responders (76.85 pg/mL) were significantly higher than those seen in nonresponders (50.45 pg/mL; P = 0.001). One month after treatment, the CGRP levels did not change in nonresponders (51.89 pg/mL; P not significant), but significantly decreased in responders (52.48 pg/mL; P = 0.003). A number of demographic factors, clinical features, and comorbidities were not different in responders as compared with those of nonresponders. These results confirm that interictal CGRP levels can be of help in predicting the response to onabotA and suggest that the mechanism of action of onabotA in CM is the reversal of sensitization as a result of the inhibition of CGRP release.
Rise of the bots: Bot prevalence and its impact on match outcomes in league of Legends

League of Legends is a multiplayer online battle arena game where features are unlocked as players level up their accounts. Because it takes a significant amount of time to reach the max level, there exist accounts that are leveled automatically by illicit “bots” and then sold on the market at the max level. These bots participate in matches like human players but are incapable of either playing intelligently or cooperatively with teammates. This paper presents an investigation into the prevalence of bots in player-versus-player match types and their impact on match outcomes on the North America and Europe West servers, using the data gathered through the Riot Games official application program interface. We demonstrate that bots are present in all major match modes at various levels and that they negatively influence the balance of matches on both servers.
Glycogen synthase kinase‐3 inhibition is integral to long‐term potentiation

Glycogen synthase kinase‐3 (GSK‐3) is a serine/threonine kinase regulating diverse cellular functions including metabolism, transcription and cell survival. Numerous intracellular signalling pathways converge on GSK‐3 and regulate its activity via inhibitory serine‐phosphorylation. Recently, GSK‐3 has been involved in learning and memory and in neurodegeneration. Here, we present evidence that implicates GSK‐3 in synaptic plasticity. We show that phosphorylation at the inhibitory Ser9 site on GSK‐3β is increased upon induction of long‐term potentiation (LTP) in both hippocampal subregions CA1 and the dentate gyrus (DG) in vivo. The increase in inhibitory GSK‐3β phosphorylation is robust and persists for at least one hour postinduction. Furthermore, we find that LTP is impaired in transgenic mice conditionally overexpressing GSK‐3β. The LTP deficits can be attenuated/rescued by chronic treatment with lithium, a GSK‐3 inhibitor. These results suggest that the inhibition of GSK‐3 facilitates the induction of LTP and this might explain some of the negative effects of GSK‐3 on learning and memory. It follows that this role of GSK‐3β in LTP might underlie some of the cognitive dysfunction in diseases where GSK‐3 dysfunction has been implicated, including Alzheimer's and other dementias.