Miracle-dz/UniFAR-FTUs huggingface dataset:
Explicit Treatment of Thermal Motion in Continuous-Energy Monte Carlo Tracking Routines

Abstract This paper introduces a new stochastic method for taking the effect of thermal motion into account on the fly in a Monte Carlo neutron transport calculation. The method is based on explicit treatment of the motion of target nuclei at collision sites and, consequently, requires simply cross sections at a temperature of 0 K regardless of the number of temperatures in the problem geometry. It utilizes rejection sampling techniques to manage the fact that total cross sections become distributed quantities. The method has a novel capability of accurately modeling continuous temperature distributions. The new stochastic method is verified using a simple test program, which compares its results to an analytical reference solution based on NJOY-broadened cross sections. Future implementation to Monte Carlo reactor physics code Serpent is also discussed shortly.
A High Order Stochastic Asymptotic Preserving Scheme for Chemotaxis Kinetic Models with Random Inputs

In this paper, we develop a stochastic Asymptotic-Preserving (sAP) scheme for the kinetic chemotaxis system with random inputs, which will converge to the modified Keller-Segel model with random inputs in the diffusive regime. Based on the generalized Polynomial Chaos (gPC) approach, we design a high order stochastic Galerkin method using implicit-explicit (IMEX) Runge-Kutta (RK) time discretization with a macroscopic penalty term. The new schemes improve the parabolic CFL condition to a hyperbolic type when the mean free path is small, which shows significant efficiency especially in uncertainty quantification (UQ) with multi-scale problems. The stochastic Asymptotic-Preserving property will be shown asymptotically and verified numerically in several tests. Many other numerical tests are conducted to explore the effect of the randomness in the kinetic system, in the aim of providing more intuitions for the theoretic study of the chemotaxis models.
Report of the National Heart, Lung, and Blood Institute Working Group on the Role of Microbiota in Blood Pressure Regulation: Current Status and Future Directions

A recent American Heart Association report shows that 34% of US adults ≥20 years of age have hypertension representing ≈86 million adults.1 A substantial increase in the prevalence of hypertension has occurred globally.2 The projected number of individuals with systolic blood pressure of ≥140 mm Hg has doubled from 442 million in 1990 to 874 million in 2015. Hypertension is one of the most prevalent risk factors for cardiovascular disease (CVD). 1 Results of the recently concluded SPRINT (Systolic Blood Pressure Intervention Trial) funded by the National Heart, Lung, and Blood Institute showed that among older adults with hypertension but without diabetes mellitus, lowering systolic blood pressure to a target goal of 120 mm Hg, compared with the standard goal of 140 mm Hg, resulted in significantly lower rates of fatal and nonfatal cardiovascular events and death from any cause.3 Some groups such as blacks who display both disproportionately earlier onset and higher prevalence of hypertension have increased risk of blood pressure (BP)–related cardiovascular and renal disease complications compared with non-Hispanic whites. Despite intensive attempts to influence lifestyle changes, nutritional counseling, and intensive antihypertensive drug treatment strategies, ≈14% of all hypertension patients seem to be resistant to antihypertensive interventions.1 Resistant hypertension is defined as BP above goal (>140/90 mm Hg) on ≥3 BP-lowering medications or needing ≥4 medications prescribed at optimal dose to control BP to goal. Thus, both increased prevalence and inability to achieve BP goals in a large patient population with hypertension are creating a tremendous healthcare burden. In addition, no novel antihypertensive drugs have been added to our formulary since 1995, when the first angiotensin receptor antagonist was approved in the United States. The recent attempts to use percutaneous renal artery sympathetic denervation, as a novel means to control hypertension, have been largely unsuccessful to date.4 …
Signalosomes in the Brain: Relevance in the Development of Certain Neuropathologies Such as Alzheimer's Disease

Emerging data suggest that compartmentalization of signaling molecules into particular membrane compartments, or lipid rafts, may be at the basis of numerous activities related to neuronal preservation against different pathologies. These signaling platforms (signalosomes) are formed by complex lipid and protein that may interact to develop a plethora of different physiological responses upon activation by different extracellular stimuli, thereby contributing to neuroprotection. One of the first studied signalosomes involved in neuroprotection against Alzheimer's disease (AD) is constituted by estrogen receptor (ER), in association with scaffolding caveolin-1 and a voltage-dependent anion channel (VDAC). In this complex, ER plays a neuroprotective role partially through the modulation of VDAC activation, a porin involved in amyloid-beta-induced toxicity. Interestingly, ER and VDAC interactions appear to be altered in lipid rafts of AD brains, a phenomenon that may contribute to neuronal impairment. Alterations in lipid components of these subdomains may contribute to destabilization of this macrocomplex. These recent advances in the relevance of signaling platforms related to brain preservation, in particular against AD, are discussed in this work.
The Rapid Urban Growth Triad: A New Conceptual Framework for Examining the Urban Transition in Developing Countries

Although the urban transition is a universal event that unfolds in all countries, the determinants, patterns, and outcomes do not necessarily follow a uniform process. With the urban transition being basically completed in developed countries around the turn of the 21st century, the growth of cities today is almost entirely confined to developing countries. Still, much of our conceptual understanding of this process is derived from earlier accounts, with definitions rooted in a historical context. This has resulted in common misconceptions such as a tendency to view the growth of cities primarily as an outcome of rural to urban migration, neglecting the growing contributions of urban natural population increase and reclassification of rural areas. A tendency to treat the components of urban growth in isolation has created a rift within the urban studies discourse, preventing any real theorization of their combined impacts and the interplay among them. Applying a systems thinking approach, this paper introduces a multidisciplinary framework for conceptualizing rapid urban growth in developing countries. The framework offers explanatory power to previously neglected components of urban growth and serves as a diagnostic for examining the urban transition—ultimately revealing new policy levers for managing it in a sustainable way.
Left–right asymmetry: cilia stir up new surprises in the node

Cilia are microtubule-based hair-like organelles that project from the surface of most eukaryotic cells. They play critical roles in cellular motility, fluid transport and a variety of signal transduction pathways. While we have a good appreciation of the mechanisms of ciliary biogenesis and the details of their structure, many of their functions demand a more lucid understanding. One such function, which remains as intriguing as the time when it was first discovered, is how beating cilia in the node drive the establishment of left–right asymmetry in the vertebrate embryo. The bone of contention has been the two schools of thought that have been put forth to explain this phenomenon. While the ‘morphogen hypothesis’ believes that ciliary motility is responsible for the transport of a morphogen preferentially to the left side, the ‘two-cilia model’ posits that the motile cilia generate a leftward-directed fluid flow that is somehow sensed by the immotile sensory cilia on the periphery of the node. Recent studies with the mouse embryo argue in favour of the latter scenario. Yet this principle may not be generally conserved in other vertebrates that use nodal flow to specify their left–right axis. Work with the teleost fish medaka raises the tantalizing possibility that motility as well as sensory functions of the nodal cilia could be residing within the same organelle. In the end, how ciliary signalling is transmitted to institute asymmetric gene expression that ultimately induces asymmetric organogenesis remains unresolved.
Performance Comparison of Doubly Salient Reluctance Machine Topologies Supplied by Sinewave Currents

This paper comprehensively investigates the electromagnetic performance of 3-phase, 12-slot, and 8-pole switched reluctance machines (SRMs) with different winding configurations, i.e., double/single layer, short pitched (concentrated), and fully pitched (distributed). These SRMs are supplied by sinewave currents so that a conventional three-phase converter can be employed, leading to behavior which is akin to that of synchronous reluctance-type machines. Comparisons in terms of static and dynamic performances such as d- and q-axis inductances, on-load torque, torque-speed curve, and efficiency map have been carried out using two-dimensional finite-element method (2-D FEM). It is demonstrated for the given size of machine considered that for same copper loss and without heavy magnetic saturation, both single- and double-layer mutually coupled SRMs (MCSRMs) can produce higher on-load torque compared to conventional SRMs (CSRMs). Additionally, double-layer MCSRM achieved the highest efficiency compared to other counterparts. When it comes to single-layer SRMs, they are more suitable for middle-speed applications and capable of producing higher average torque while lower torque ripple than their double-layer counterparts at low phase current. Two prototype SRMs, both single layer and double layer, are built to validate the predictions.
Dynamic Contrast-Enhanced Magnetic Resonance Imaging As a Biomarker for Prediction of Radiation-Induced Neurocognitive Dysfunction

Purpose: To determine whether early assessment of cerebral microvessel injury can predict late neurocognitive dysfunction after brain radiation therapy (RT). Experimental Design: Ten patients who underwent partial brain RT participated in a prospective dynamic contrast-enhanced magnetic resonance imaging (MRI) study. Dynamic contrast-enhanced MRI was acquired prior to, at weeks 3 and 6 during, and 1 and 6 months after RT. Neuropsychological tests were done pre-RT and at the post-RT MRI follow-ups. The correlations between early delayed changes in neurocognitive functions and early changes in vascular variables during RT were analyzed. Results: No patients had tumor progression up to 6 months after RT. Vascular volumes and blood-brain barrier (BBB) permeability increased significantly in the high-dose regions during RT by 11% and 52% (P < 0.05), respectively, followed by a decrease after RT. Changes in both vascular volume and BBB permeability correlated with the doses accumulated at the time of scans at weeks 3 and 6 during RT and 1 month after RT (P < 0.03). Changes in verbal learning scores 6 months after RT were significantly correlated with changes in vascular volumes of left temporal (P < 0.02) and frontal lobes (P < 0.03), and changes in BBB permeability of left frontal lobes during RT (P < 0.007). A similar correlation was found between recall scores and BBB permeability. Conclusion: Our data suggest that the early changes in cerebral vasculature may predict delayed alterations in verbal learning and total recall, which are important components of neurocognitive function. Additional studies are required for validation of these findings.
Epigenetic methylation and expression of caspase 8 and survivin in hepatocellular carcinoma

Caspase 8 and survivin are known as key molecules of apoptosis in hepatocellular carcinoma (HCC). The purpose of the present study was to investigate the relationship between promoter methylation and expression and apoptotic function of caspase 8 and survivin in HCC. Promoter methylation of the caspase 8 and survivin gene was analyzed in 73 primary HCC using methylation‐specific polymerase chain reaction. The relationship between immunohistochemical expression of gene products and proliferative/apoptotic indices, and clinicopathological parameters was also investigated. Twenty‐five (34%) and 24 (33%) patients had promoter methylation of caspase 8 and survivin gene. Immunohistochemical staining of caspase 8 and survivin was observed in 35 (48%) and 32 (44%). The methylation of caspase 8 and survivin demonstrated a negative correlation with immunohistochemical expression of gene products (P= 0.049 and P= 0.001). Methylation of caspase 8 and positive expression of its gene product was significantly correlated with high apoptotic indices (P= 0.032 and P= 0.026). Nuclear survivin expression was significantly correlated with high proliferative index (P= 0.001). On survival analysis, positive nuclear survivin expression was associated with a poor prognosis in HCC (P= 0.043). In conclusion, epigenetic alteration by promoter methylation of caspase 8 and survivin may constitute an important regulatory mechanism for expression of those genes in HCC.
An Analytical Gate Tunneling Current Model for MOSFETs Having Ultrathin Gate Oxides

In this paper, we present a completely analytical model for the gate tunneling current, which can be used to get a first-order estimate of this parameter in present-generation MOSFETs, having ultrathin gate oxides and high substrate doping concentrations. The model has been developed from first principles, and it does not use any empirical fitting and/or correction parameters. It takes into account the quantization of the electron energy levels within the inversion layer of a MOSFET, which behaves similar to a potential well. Several interesting simplifications regarding this well structure have been made, and all these assumptions have been rigorously justified, both based on physical arguments as well as through numerical quantifications. An extremely interesting and important outcome of this procedure is a nonzero value of the wavefunction at the semiconductor-insulator interface, which is physically justified, however, contrary to what other existing literatures in this area assume. This procedure also led to a closed-form analytical expression for the inversion layer thickness. The interface wavefunction was used, in association with the tunneling probability through the gate oxide, and the carriers in transit model in the gate metal, to find the resultant gate tunneling current density as a function of the applied gate-to-body voltage. The results obtained from our simple and completely analytical model were compared with the experimental results reported in the literature, and the match is found to be excellent for varying oxide thicknesses and substrate doping concentrations, which justifies the authenticity of the model developed in this work here.
Sociodemographic profile of medicines users in Brazil: results from the 2014 PNAUM survey

ABSTRACT OBJECTIVE To analyze the prevalence of medicine use by the Brazilian population and its distribution according to sociodemographic factors. METHODS Study using data from the Pesquisa Nacional de Acesso, Utilização e Promoção do Uso Racional de Medicamentos (PNAUM – National Survey on Access, Use and Promotion of Rational Use of Medicines), a nationwide household survey of a representative sample of the Brazilian urban population. The data were collected between September 2013 and February 2014. The overall use of medicines, defined as the use of any medicine, use of medicines for treating chronic medical conditions and for acute health conditions, was evaluated. The independent variables included gender, age group, socioeconomic position, and region of Brazil. Analyzes included prevalence calculations, 95% confidence intervals (95%CI) and Pearson Chi-square tests to evaluate the differences between groups, considering a 5% level of significance. RESULTS The prevalence of medicines use was 50.7% (95%CI 49.3–52.2), with 39.3% (95%CI 37.5–41.1) accounting for men and 61.0% (95%CI 59.3–62.6) for women. Medicines use was observed to increase with increasing age, except among children within the zero to four years age group. The lowest prevalence for medicines use was found among those with a low socioeconomic position and those who reside in the North region of Brazil. The prevalence of medicine use to treat chronic diseases was 24.3% (95%CI 23.3–25.4), whereas it was 33.7% (95%CI 32.1–35.4) for treating acute diseases. CONCLUSIONS We found extensive variability in the prevalence of medicines use across regions of Brazil. The poorest regions (North, Northeast, and Midwest) have a lower prevalence of medicines use to treat chronic diseases, indicating the need to minimize inequalities in access to medicines within the country.
Unsupervised Learning of Visual Structure using Predictive Generative Networks

The ability to predict future states of the environment is a central pillar of intelligence. At its core, effective prediction requires an internal model of the world and an understanding of the rules by which the world changes. Here, we explore the internal models developed by deep neural networks trained using a loss based on predicting future frames in synthetic video sequences, using a CNN-LSTM-deCNN framework. We first show that this architecture can achieve excellent performance in visual sequence prediction tasks, including state-of-the-art performance in a standard 'bouncing balls' dataset (Sutskever et al., 2009). Using a weighted mean-squared error and adversarial loss (Goodfellow et al., 2014), the same architecture successfully extrapolates out-of-the-plane rotations of computer-generated faces. Furthermore, despite being trained end-to-end to predict only pixel-level information, our Predictive Generative Networks learn a representation of the latent structure of the underlying three-dimensional objects themselves. Importantly, we find that this representation is naturally tolerant to object transformations, and generalizes well to new tasks, such as classification of static images. Similar models trained solely with a reconstruction loss fail to generalize as effectively. We argue that prediction can serve as a powerful unsupervised loss for learning rich internal representations of high-level object features.
Development, Survival and Fitness Performance of Helicoverpa zea (Lepidoptera: Noctuidae) in MON810 Bt Field Corn

Abstract Helicoverpa zea (Boddie) development, survival, and feeding injury in MON810 transgenic ears of field corn (Zea mays L.) expressing Bacillus thuringiensis variety kurstaki (Bt) Cry1Ab endotoxins were compared with non-Bt ears at four geographic locations over two growing seasons. Expression of Cry1Ab endotoxin resulted in overall reductions in the percentage of damaged ears by 33% and in the amount of kernels consumed by 60%. Bt-induced effects varied significantly among locations, partly because of the overall level and timing of H. zea infestations, condition of silk tissue at the time of egg hatch, and the possible effects of plant stress. Larvae feeding on Bt ears produced scattered, discontinuous patches of partially consumed kernels, which were arranged more linearly than the compact feeding patterns in non-Bt ears. The feeding patterns suggest that larvae in Bt ears are moving about sampling kernels more frequently than larvae in non-Bt ears. Because not all kernels express the same level of endotoxin, the spatial heterogeneity of toxin distribution within Bt ears may provide an opportunity for development of behavioral responses in H. zea to avoid toxin. MON810 corn suppressed the establishment and development of H. zea to late instars by at least 75%. This level of control is considered a moderate dose, which may increase the risk of resistance development in areas where MON810 corn is widely adopted and H. zea overwinters successfully. Sublethal effects of MON810 corn resulted in prolonged larval and prepupal development, smaller pupae, and reduced fecundity of H. zea. The moderate dose effects and the spatial heterogeneity of toxin distribution among kernels could increase the additive genetic variance for both physiological and behavioral resistance in H. zea populations. Implications of localized population suppression are discussed.
Usefulness of 123 I-MIBG Scintigraphy in the Evaluation of Patients with Known or Suspected Primary or Metastatic Pheochromocytoma or Paraganglioma : Results from a Prospective Multicenter Trial

1Department of Nuclear Medicine, Mayo Clinic, Rochester, Minnesota; 2Reproductive and Adult Endocrinology Program, National Institute of Child Health and Development, National Institutes of Health, Bethesda, Maryland; 3Department of Pediatrics, University of Iowa, Iowa City, Iowa; 4Department of Nuclear Medicine, Cleveland Clinic, Cleveland, Ohio; 5Department of Nuclear Medicine, Cedars-Sinai Medical Center, Los Angeles, California; 6Department of Radiology, University of Washington, Seattle, Washington; 7Department of Nuclear Medicine, Mount Sinai Medical Center, New York, New York; 8Department of Nuclear Medicine, University of Miami, Miami, Florida; 9Department of Radiology, Piedmont Hospital, Atlanta, Georgia; and 10Research and Development, GE Healthcare, Princeton, New Jersey
Hybrid Digital-Analog Relaying for Cooperative Transmission Over Slow Fading Channels

Hybrid digital-analog coding schemes have been proposed in source-channel coding to increase the robustness toward channel mismatch, in the absence of transmitter channel state information (CSIT). Recognizing that the same kind of robustness is needed at the relay in a three-node relay network, we propose several novel relaying protocols based on hybrid digital-analog transmission. We compare the performance of the new schemes with traditional digital-only (decode-and-forward or compress-and-forward) or analog-only (amplify-and-forward) relaying, as well as to performance bounds corresponding to genie-aided compress-and-forward relaying. Our new protocols achieve significant gains in terms of achievable expected rates, and they are able to close in on the performance bounds. In particular, we conclude that the best overall performance is obtained by an adaptive combination of decode-and-forward and hybrid digital-analog relaying.