Miracle-dz/UniFAR-FTUs huggingface dataset:
Transforming Hospital Emergency Department Workflow and Patient Care

When we encounter an unexpected critical health problem, a hospital's emergency department ED becomes our vital medical resource. Improving an ED's timeliness of care, quality of care, and operational efficiency while reducing avoidable readmissions, is fraught with difficulties, which arise from complexity and uncertainty. In this paper, we describe an ED decision support system that couples machine learning, simulation, and optimization to address these improvement goals. The system allows healthcare administrators to globally optimize workflow, taking into account the uncertainties of incoming patient injuries and diseases and their associated care, thereby significantly reducing patient length of stay. This is achieved without changing physical layout, focusing instead on process consolidation, operations tracking, and staffing. First implemented at Grady Memorial Hospital in Atlanta, Georgia, the system helped reduce length of stay at Grady by roughly 33 percent. By repurposing existing resources, the hospital established a clinical decision unit that resulted in a 28 percent reduction in ED readmissions. Insights gained from the implementation also led to an investment in a walk-in center that eliminated more than 32 percent of the nonurgent-care cases from the ED. As a result of these improvements, the hospital enhanced its financial standing and achieved its target goal of an average ED length of stay of close to seven hours. ED and trauma efficiencies improved throughput by over 16 percent and reduced the number of patients who left without being seen by more than 30 percent. The annual revenue realized plus savings generated are approximately $190 million, a large amount relative to the hospital's $1.5 billion annual economic impact. The underlying model, which we generalized, has been tested and implemented successfully at 10 other EDs and in other hospital units. The system offers significant advantages in that it permits a comprehensive analysis of the entire patient flow from registration to discharge, enables a decision maker to understand the complexities and interdependencies of individual steps in the process sequence, and ultimately allows the users to perform system optimization.
Lightness Constancy in Surface Visualization

Color is a common channel for displaying data in surface visualization, but is affected by the shadows and shading used to convey surface depth and shape. Understanding encoded data in the context of surface structure is critical for effective analysis in a variety of domains, such as in molecular biology. In the physical world, lightness constancy allows people to accurately perceive shadowed colors; however, its effectiveness in complex synthetic environments such as surface visualizations is not well understood. We report a series of crowdsourced and laboratory studies that confirm the existence of lightness constancy effects for molecular surface visualizations using ambient occlusion. We provide empirical evidence of how common visualization design decisions can impact viewers' abilities to accurately identify encoded surface colors. These findings suggest that lightness constancy aids in understanding color encodings in surface visualization and reveal a correlation between visualization techniques that improve color interpretation in shadow and those that enhance perceptions of surface depth. These results collectively suggest that understanding constancy in practice can inform effective visualization design.
Fast Set Intersection in Memory

Set intersection is a fundamental operation in information retrieval and database systems. This paper introduces linear space data structures to represent sets such that their intersection can be computed in a worst-case efficient way. In general, given k (preprocessed) sets, with totally n elements, we will show how to compute their intersection in expected time [EQUATION], where r is the intersection size and w is the number of bits in a machine-word. In addition, we introduce a very simple version of this algorithm that has weaker asymptotic guarantees but performs even better in practice; both algorithms outperform the state of the art techniques for both synthetic and real data sets and workloads.
Coding and noncoding variants in the CFH gene and cigarette smoking influence the risk of age-related macular degeneration in a Japanese population.

PURPOSE Ethnic variation has been reported in age-related macular degeneration (AMD)-associated Y402H polymorphism in complement factor H (CFH). This variation is evident in the Japanese population. Recently a strong association between a novel single-nucleotide polymorphism (SNP; rs1410996) in the CFH gene and AMD has been identified in Caucasian patients. The present study was undertaken to investigate whether four coding and noncoding variants of the CFH gene, including rs1410996, are associated with AMD in native, unrelated Japanese patients. METHODS A total of 188 patients with AMD and 139 control subjects without AMD were recruited for the study. Four SNPs (rs800292, rs1061170, rs1410996, and rs2274700) in the CFH gene were assessed by genotyping assay. The information regarding systemic conditions and lifestyle including smoking were documented in each subject by standardized questionnaire. RESULTS The intronic SNP (rs1410996) and the synonymous SNP (rs2274700) were associated with a significant risk of AMD (P = 2.37 x 10(-5) and 3.52 x 10(-5), respectively). A significant association was also noted between a coding variant (rs800292, I62V) and AMD (P = 8.63 x 10(-6)). In contrast, the Y402H variant showed no significant association with AMD (P = 0.101). Two common haplotypes also demonstrated significant association with AMD (P = 1.08 x 10(-3) and 2.00 x 10(-5)). Among the environmental factors, smoking alone had a significant association with AMD (P = 1.17 x 10(-4)). CONCLUSIONS Although the Y402H variant was not significantly associated with AMD, other coding and noncoding variants in the CFH gene including rs1410996 and smoking moderately influenced the risk of AMD in a Japanese population.
How to Combine the Parameters of the Yield Criteria and the Hardening Law

The numerical simulation of sheet metal forming processes needs the accurate identification of the material parameters, for a given constitutive model. This identification can follow different methodologies and different sets of experimental data can be used, which lead to distinct sets of material parameters. In order to accurately compare the results of several methodologies, it is necessary to guarantee uniformity of their presentation. In this work, the correspondence between sets of parameters of the Hill’48 criterion is explored. The meaning of the “isotropic values” of the parameters associated with the out-of-plane stresses components is discussed and a required condition is proposed, in order to properly compare numerical simulation results obtained by using different input sets of constitutive parameters, identified by different procedures. Finite element simulations of complex shaped forming process, involving strain-path changes, are carried out in order to support the analysis.
The impact of perception and presence on emotional reactions: a review of research in virtual reality

Virtual reality (VR) has made its way into mainstream psychological research in the last two decades. This technology, with its unique ability to simulate complex, real situations and contexts, offers researchers unprecedented opportunities to investigate human behavior in well controlled designs in the laboratory. One important application of VR is the investigation of pathological processes in mental disorders, especially anxiety disorders. Research on the processes underlying threat perception, fear, and exposure therapy has shed light on more general aspects of the relation between perception and emotion. Being by its nature virtual, i.e., simulation of reality, VR strongly relies on the adequate selection of specific perceptual cues to activate emotions. Emotional experiences in turn are related to presence, another important concept in VR, which describes the user’s sense of being in a VR environment. This paper summarizes current research into perception of fear cues, emotion, and presence, aiming at the identification of the most relevant aspects of emotional experience in VR and their mutual relations. A special focus lies on a series of recent experiments designed to test the relative contribution of perception and conceptual information on fear in VR. This strand of research capitalizes on the dissociation between perception (bottom–up input) and conceptual information (top-down input) that is possible in VR. Further, we review the factors that have so far been recognized to influence presence, with emotions (e.g., fear) being the most relevant in the context of clinical psychology. Recent research has highlighted the mutual influence of presence and fear in VR, but has also traced the limits of our current understanding of this relationship. In this paper, the crucial role of perception on eliciting emotional reactions is highlighted, and the role of arousal as a basic dimension of emotional experience is discussed. An interoceptive attribution model of presence is suggested as a first step toward an integrative framework for emotion research in VR. Gaps in the current literature and future directions are outlined.
Usage of positional therapy in adults with obstructive sleep apnea.

STUDY OBJECTIVES Many positional therapy (PT) strategies are available for treating positional obstructive sleep apnea (OSA). PT is primarily supplied to selected patients as a secondary treatment option when other therapies have failed. To our knowledge this is the largest study to date to assess effectiveness and long-term compliance of PT (both commercial waistband and self-made constructions, mimicking the tennis ball technique) as primary treatment in patients with different positional OSA severities. METHODS PT was used by 53 patients, of which 40 patients underwent a follow-up polygraphic evaluation under treatment after a median time interval of 12 weeks. Patients were routinely contacted regarding their clinical status and treatment compliance. RESULTS PT was successful in 27 out of 40 patients (68%). Overall AHI reduced significantly from a median (interquartile range [IQR]) AHI of 14.5 (10.7-19.6) to 5.9 (3.1-8.5), p < 0.001. The commercial waistband and self-made constructions were equally effective (median (IQR) reduction in overall AHI (Δ9.6 (5.5-11.9) and Δ6. 8 (3.2-11.3) respectively), p = 0.22). Short-term compliance was good as most patients used PT more than 7 hours/night (mean 7.2 ± SD 1.4) and more than 6 days/ week (mean 6.5 ± SD 1.3). However, after mean 13±5 months, 26 patients (65%) reported they no longer used PT, especially patients with moderate positional OSA (89%). CONCLUSIONS On the short-term, PT using the tennis ball technique, is an easy method to treat most patients with positional OSA, showing significant reductions in AHI. Unfortunately, long-term compliance is low and close follow-up of patients on PT with regard to their compliance is necessary.
Characterization of the silicon drift detector for NICER instrument

We have studied timing properties of the Amptek Silcon Drift Detectors (SDD) using pulsed X-ray source designed at NASA Goddard Space Flight Center. The proposed Neutron Star Interior Composition Explorer (NICER) mission will use 56 of these detectors as X-ray sensors in an attached payload to the International Space Station to study time variability of millisecond X-ray pulsars. Using a rastered pinhole we have measured the delay times for single X-ray photons as a function of the impact position on the detector, as well as signal rise time as a function of impact position. We find that the interdependence of these parameters allows us to determine photon position on the detector by measuring the signal rise time, and, improve the accuracy of the photon arrival time measurement.
Comparison of the validity of two dental age estimation methods: A study on South Indian population

Background: Forensic odontologists are often confronted with the problem of estimating age for the identification of unknown bodies or skeletal remains of accidents, crimes and disaster victims. Teeth have the benefit of being preserved long after other tissues have disintegrated and present the only means for age estimation. Different techniques have been published for dental age estimation with variable accuracy, precision and reliability. The search for optimal method by forensic odontologists has continued over the years until the present day. Aim: The present study was aimed at evaluating and comparing the accuracy of age estimation using translucent dentin and cemental annulations. Materials and Methods: A total of 150 freshly extracted teeth were obtained and longitudinal ground sections were prepared. The length of the translucent dentin was measured and cemental annulations were counted in each section and the age was calculated separately for both the methods. Results and Conclusion: The present study suggests that both the methods are reliable in the middle age groups; whereas the large error obtained in the extreme age groups indicate that translucent dentin method should be preferred in older age group and cemental annulations method in the younger age group before the formation of translucent dentin.
Independent and Combined Effects of Lactitol, Polydextrose, and Bacteroides thetaiotaomicron on Postprandial Metabolism and Body Weight in Rats Fed a High-Fat Diet

Obesity is related to the consumption of energy-dense foods in addition to changes in the microbiome where a higher abundance of gut Bacteroidetes can be found in lean subjects or after weight loss. Lactitol, a sweet-tasting sugar alcohol, is a common sugar-replacement in foods. Polydextrose (PDX), a highly branched glucose polymer, is known to reduce energy intake. Here, we test if the combined effects of lactitol or PDX in combination with Bacteroides species will have a beneficial metabolic response in rats fed a high-fat (HF) diet. A total of 175 male Wistar rats were fed either a LF or HF diet. Bacteroides thetaiotaomicron (1010 bacteria/animal/day) was orally administered with or without lactitol (1.6−2 g/animal/day) or PDX (2 g/animal/day) for 8 days. Postprandial blood samples, cecal digesta, and feces were collected on the last day. Measurements included: body weight, feed consumption, cecal short-chain fatty acids, fecal dry matter and heat value, blood glucose, insulin, triglyceride, and satiety hormone concentrations. Lactitol and PDX decreased the mean body weight when administered with B. thetaiotaomicron or when lactitol was administered alone. Levels of postprandial plasma triglycerides declined with lactitol and PDX when administered with B. thetaiotaomicron. For intestinal hormone release, lactitol – alone or with B. thetaiotaomicron – increased the release of gastrointestinal peptide tyrosine tyrosine (PYY) as well as the area under the curve (AUC) measured for PYY (0–8 h). In addition, levels of insulin AUC (0–8 h) decreased in the lactitol and PDX-supplemented groups. Lactitol and PDX may both provide additional means to regulate postprandial metabolism and weight management, whereas the addition of B. thetaiotaomicron in the tested doses had only minor effects on the measured parameters.
Emotion dysregulation as a mechanism linking anxiety and hazardous drinking among Latinos in primary care

BACKGROUND AND OBJECTIVES Research suggests that Latinos experience significantly more mental health and alcohol use problems than non-Latino whites. However, relatively little is known about the mechanisms underlying alcohol use in this population. One factor associated with excessive alcohol use in Latinos is anxiety. A potential explanatory mechanism for this relationship is emotion dysregulation, as emotion dysregulation in the context of anxiety may lead to alcohol use problems/disorders. The aim of the current study was to examine the indirect effect of anxiety, through emotion dysregulation, on drinking severity and probable hazardous drinking in Latinos. METHODS Latino adults (N = 264) were recruited from a primary care health clinic as part of a larger ongoing study examining mental health among Latinos in primary care. Participants were interviewed using the MINI and then completed various self-report assessments (in Spanish). Structural equation modeling was used to evaluate model fit. RESULTS Structural models fit the data well. Additionally, there were statistically significant indirect effects of anxiety via emotion dysregulation on drinking severity and probable screen for hazardous drinking. DISCUSSION AND CONCLUSIONS Anxiety may contribute to alcohol use problems due to an overall tendency to engage in maladaptive attempts to regulate emotions. SCIENTIFIC SIGNIFICANCE Targeting emotion dysregulation in the context of anxiety and hazardous alcohol use among Latinos may be one therapeutic strategy to reduce severity of alcohol use (and hazardous drinking). (Am J Addict 2017;26:615-622).
Demographic variation in nutrition knowledge in England

This paper describes a nutrition knowledge survey carried out on a cross-section of the adult population of England (n = 1040), looking at knowledge relating to current dietary recommendations, sources of nutrients, healthy food choices and diet–disease links. Serious gaps in knowledge about even the basic recommendations were discovered, and there was much confusion over the relationship between diet and disease. Significant differences in knowledge between socio-demographic groups were found, with men having poorer knowledge than women, and knowledge declining with lower educational level and socio-economic status. Possible reasons for these differences and implications for public education campaigns and socio-economic inequalities in health are discussed.
Designing Time-Hopping Ultrawide Bandwidth Receivers for Multiuser Interference Environments

The multiple-user interference (MUI) in time-hopped impulse-radio ultrawide bandwidth (UWB) systems is impulse-like and poorly approximated by a Gaussian distribution. Therefore, conventional matched filter receiver designs, which are optimal for Gaussian noise, are not fully efficient for UWB applications. Several alternative distributions for approximating the MUI process and the MUI-plus-noise process in UWB systems are motivated and compared. These distributions have in common that they are more impulsive than the Gaussian approximation, with a greater area in the tails of the probability density function (pdf) compared to a Gaussian pdf. The improved MUI and MUI-plus-noise models are utilized to derive new receiver designs for UWB applications, which are shown to be superior to the conventional matched filter receiver. Multipath propagation is abundant in UWB channels and is exploited by a Rake receiver. A Rake receiver uses multiple fingers to comb the multipath rays with a conventional matched filter implemented in each finger. Rake structures utilizing the new receiver designs that are suitable for reception of UWB signals in multipath fading channels are provided. An optimal performance benchmark, based on an accurate theoretical model for the interference that fully explains the features of the MUI pdf, is also presented. Analysis and simulation results are shown for the novel receivers, which demonstrate that the new designs have superior performance compared to the conventional linear receiver when MUI is significant. Several adaptive receivers are shown to always match or exceed the performance of the conventional linear receiver in all MUI-plus-noise environments. Parameter estimation for the new receivers also is discussed.
Reproductive and hormonal factors and the risk of lung cancer: The EAGLE study

Evidence about the role for reproductive and hormonal factors in the etiology of lung cancer in women is conflicting. To clarify this question, we examined 407 female cases and 499 female controls from the Environment And Genetics in Lung cancer Etiology population‐based case–control study. Subjects were interviewed in person using a computer‐assisted personal interview to assess demographics, education, smoking history, medical history, occupational history, reproductive and hormonal factors. Associations of interest were investigated using logistic regression models, adjusted for catchment area and age (matching variables), cigarette smoking (status, pack‐years and time since quitting). Additional confounding variables were investigated but did not substantially affect the results. We observed a reduced risk of lung cancer among women with later age at first live birth [≥31 years: odds ratio (OR) = 0.57, 95% confidence interval (CI) = 0.31–1.06, p‐trend = 0.05], later age at menopause (≥51 years: OR = 0.49, 95%CI = 0.31–0.79, p‐trend = 0.003) and longer reproductive periods (≥41 years: OR = 0.44, 95%CI = 0.25–0.79, p‐trend = 0.01). A reduced risk was also observed for hormone replacement therapy (OR = 0.63, 95%CI = 0.42–0.95, p = 0.03) and oral contraceptive use (OR = 0.67, 95%CI = 0.45–1.00, p = 0.05) but no trend with duration of use was detected. Menopausal status (both natural and induced) was associated with an augmented risk. No additional associations were identified for other reproductive variables. This study suggests that women who continue to produce estrogens have a lower lung cancer risk. Large studies with great number of never smoking women, biomarkers of estrogen and molecular classification of lung cancer are needed for a more comprehensive view of the association between reproductive factors and lung cancer risk.