Miracle-dz/UniFAR-FTUs huggingface dataset:
Viruses in Pediatric Patients at a Cancer RP Assay for Detection of Respiratory Assay and the Idaho Technology FilmArray Comparison of the Luminex xTAG RVP Fast

Published Ahead of Print 18 April 2012. 10.1128/JCM.06186-11. 2012, 50(7):2282. DOI: J. Clin. Microbiol. Yi-Wei Tang and Mini Kamboj Brennan, Haijing Li, Susan Shuptar, Charles W. Stratton, N. Esther Babady, Peter Mead, Jeffrey Stiles, Carrie Hospital Viruses in Pediatric Patients at a Cancer RP Assay for Detection of Respiratory Assay and the Idaho Technology FilmArray Comparison of the Luminex xTAG RVP Fast
The Importance of Public Transport for Mobility and Everyday Activities among Rural Residents

A lack of transport opportunities has been shown to be a barrier for accessibility and social inclusion in contemporary society. In rural and sparsely populated areas, access to public transport is often poor compared to urban areas, leading to fewer possibilities to participate in normal relationships and activities among rural dwellers. Based on qualitative interviews with rural dwellers in Sweden, the aim of this study was to explore how access to transport can meet the needs of mobility and activity participation in everyday life and how different modes of transport are being used. The study has been permeated by the time-geographical perspective, which considers people’s use of time and space and the restrictions they face in order to carry out activities, including travel. The results show that travel by private car plays a central role in realizing everyday activities for rural dwellers, as well as a perception of the car as being the norm in contemporary society. Frequent car use is the consequence of a combination of time-space restrictions, habit, and a lack of services, activities, and public transport in rural areas. Poor public transport services limit children’s and adolescents’ independent mobility in particular. Further, the physical environment influences the ability to use public transport, for example if roads and bus stops are seen as unsafe. Based on the results of the study, several measures and improvements are proposed that could increase mobility and accessibility in rural areas and reduce car dependency.
Genes Are Mediated by Protein Kinase CHa ras Activated Alterations in Murine Keratinocyte Differentiation Induced by Updated Version

Primary mouse keratinocytes expressing the v.ras@I*oncogene keratinocytes) produce squamous papillomas when grafted onto nude mice and respond abnormally to signals for terminal differentiation both in vivo and in vitro. Since protein kinase C (PKC) activators and v@ras@I* induce similar phenotypic changes in cultured keratinocytes, and cellular diacylglycerol levels are constitutively elevated in ras-transformed kern tinocytes, we tested whether PKC is a downstream target for oncogenic ma in this cell type. Ca2'-dependent PKC activity was increased in lysates from cultured v@rasHa keratinocytes when compared to control cells; in contrast, Ca2@-independent activity decreased. Similar to PKC activators, v-ras5@blocked Ca2@-mediatedexpressionof the early epidermal differ entiation markers keratins Ki and K1O while Inducing aberrant expres slon of K8 Pretreatment of v-ms'@keratinocytes with bryostatin to block PKC function restored Ca2'-mediated expression of K! and K1O and blocked abnormal expression of KS, suggesting that these responses are mediated by the PKC pathway. Furthermore, expression of Kl is restored at bryostatin doses which specifically down-modulate PKC-a, the only Ca2@-dependent PKC isozyme detected in cultured keratinocytes. In con treat to the inhibition of K! and K1O, Ca2@-induced expression of the late epidermal differentiation markers loricrin, filaggrin, and keratinocyte transglutaminase was accelerated by v@ras@@M, @ previously reported in normal keratinocytes treated with PKC activators. Pretreatment of v ma'@ keratinocytes with bryostatin blocked expression oflate markers in these cells, and this response was correlated with down-regulation of PKC-a The results of this study suggest that oncogenic ras alters kern tinocyte differentiation by altering the function of the PKC signaling pathway, and that PKC-a Is the specific isozyme involved in down modulating expression of keratins K! and K1Oand up-regulating expres sion of loricrin, filaggrin, and keratinocyte transglutaminase.
Impact of prenatal magnetic resonance imaging on postnatal neurosurgical treatment.

OBJECT The goal of this study was to determine the importance magnetic resonance (MR) imaging holds as a complementary fetal imaging modality to ultrasonography in deciding postnatal neurosurgical management. METHODS Between 1999 and 2003, 320 fetal MR imaging studies were performed at a single institution. Twenty-four fetuses were found to have central nervous system abnormalities that could potentially require a neurosurgical intervention. The diagnoses included spinal anomalies (scoliosis, myelomeningocele, and closed spinal dysraphism) and brain anomalies (ventriculomegaly with or without hemorrhage, intracranial cyst, craniosynostosis, and encephalocele). Fourteen of the 24 fetuses underwent surgery based on findings of prenatal MR imaging. In seven cases the pregnancy was terminated, and in three cases conservative follow up continues. CONCLUSIONS In a variety of brain and spine disorders, prenatal MR imaging can delineate and characterize the abnormality, and thus assist in the diagnosis and in the planning of postnatal surgery and management. This modality provides important multiplanar images and may obviate the need for early postnatal computed tomography or MR imaging. Postnatal management can often be guided by prenatal MR imaging findings.
How does stigma affect people with psoriasis?

Introduction Psoriasis is associated with a major additional psychological burden. Aim To investigate whether the extent of skin involvement, stigmatization, and perceived social support are related to depressive symptoms in psoriasis patients. Material and methods One hundred and forty-eight psoriasis patients completed in the BSA, the Beck Depression Inventory, Stigmatization Scale, and Multidimensional Scale of Perceived Social Support. Results Almost 13% of participants obtained a BDI total score indicating moderate depressive symptoms. The results of regression analysis revealed that greater depression severity in psoriasis patients is associated with higher levels of psoriasis-related stigma, lower perceived social support, female gender and a shorter duration of the disease, explaining 43% of the variance of depression. The stigmatization was the most powerful predictor of depressive symptoms for psoriasis patients and accounted for 33% of the variance. Conclusions The extent of psoriasis does not directly lead to mood disturbance in these patients. Rather, social stigma accounted for this relationship. Strategies for reducing the stigma attached to patients with psoriasis are required.
CLIPPER: Counter-based Low Impact Processor Power Estimation at Run-time

Numerous dynamic power management techniques have been proposed which utilize the knowledge of processor power/energy consumption at run-time. So far, no efficient method to provide run-time power/energy data has been presented. Current measurement systems draw too much power to be used in small embedded designs and existing performance counters can not provide sufficient information for run-time optimization. This paper presents a novel methodology to solve the problem of run-time power optimization by designing a processor that estimates its own power/energy consumption. Estimation is performed by the addition of small counters that tally events which consume power. This methodology has been applied to an existing processor resulting in an average power error of 2% and energy estimation error of 1.5%. The system adds little impact to the design, with only a 4.9% increase in chip area and a 3% increase in average power consumption. A case study of an application that utilizes the processor showcases the benefits the methodology enables in dynamic power optimization.
Differential space-code modulation for interference suppression

A differential space-time modulation (DSTM) scheme, which fully exploits the receive/transmit antenna diversity, was recently proposed to perform demodulation without channel state information. DSTM is attractive in fast flat fading channels where accurate channel estimation is difficult to obtain. However, we show that this technique is interference-sensitive and is likely to deteriorate or even break down in the presence of interferences. In this paper, we propose a new coding and modulation scheme, referred to as differential space-code modulation (DSCM), which is interference resistant. We show that DSCM can be used to provide similar bit-error-rate (BER) performance to that of DSTM in the absence of interference, but significantly outperforms the latter when interferences, especially strong ones, are present. Moreover, DSCM requires lower transmission power and hence is more suitable for covert communications.
Oncogene expression in vivo by ovarian adenocarcinomas and mixed-mullerian tumors.

Six-micron paraffin sections of paraformaldehyde-fixed specimens of 24 ovarian benign and neoplastic specimens were assayed for tumor cell-specific oncogene expression by a sensitive, quantitative in situ hybridization technique with probes for 17 oncogenes, beta-actin, and E. coli beta-lactamase. In the benign, borderline, and invasive adenocarcinomas, multiple oncogenes, including neu, fes, fms, Ha-ras, trk, c-myc, fos, and PDGF-A chains, were expressed at significant levels relative to a housekeeping gene (beta-actin). In the mixed-Mullerian tumors, a rather different pattern of oncogene expression was observed, characterized primarily by expression of sis (PDGF-B chain). For the adenocarcinomas, statistical analysis demonstrated that expression of several genes (fms, neu, PDGF-A) was closely linked to others (c-fos, c-myc) known to have important roles in the control of cell proliferation, but only one gene, fms, correlated very strongly with clinicopathologic features (high FIGO histologic grade and high FIGO clinical stage) predictive of aggressive clinical behavior and poor outcome. The authors discuss the role that tumor epithelial cell expression of the fms gene product might play in the auto- and paracrine control of growth and dissemination of ovarian adenocarcinomas. ImagesFIG. 1
Prospects for Carbon Capture and Storage Technologies

Carbon capture and storage (CCS) technologies remove carbon dioxide from flue gases for storage in geologic formations or the ocean. We find that CCS is technically feasible and economically attractive within the range of carbon policies discussed domestically and internationally. Current costs are about $200 to $250 per ton of carbon, although costs are sensitive to fuel prices and other assumptions and could be reduced significantly through technical improvements. Near-term prospects favor CCS for certain industrial sources and electric power plants, with storage in depleted oil and gas reservoirs. Deep aquifers may provide an attractive longer-term storage option, whereas ocean storage poses greater technical and environmental uncertainty. Vast quantities of economically recoverable fossil fuels, sizable political obstacles to their abandonment, and inherent delay associated with developing alternative energy sources suggest that CCS should be seriously considered in the portfolio of options for addressing climate change, alongside energy efficiency and carbon-free energy.
The lower tail problem for homogeneous functionals of stable processes with no negative jumps

Let Z be a strictly a-stable real Levy process (a>1) and X be a fluctuating b-homogeneous additive functional of Z. We investigate the asymptotics of the first passage-time of X above 1, and give a general upper bound. When Z has no negative jumps, we prove that this bound is optimal and does not depend on the homogeneity parameter b. This extends a result of Y. Isozaki and solves partially a conjecture of Z. Shi.
Construct Validity of the Theory of Grief Recovery (TOGR): A New Paradigm Toward Our Understanding of Grief and Loss

ABSTRACT Background: Many grief-based Health Education programs have not been theoretically examined to show how and why beneficial effects have been reported with their use and implementation. Purpose: We used a construct validity of the treatment approach to test the implicit theoretical structure of the theory of grief recovery (TOGR) and evaluate the extent of influence and estimated effect size that intervention exposure had on targeted variables of grief and grief recovery. Methods: Using a repeated measures design, the previously validated Grief Recovery Method® Instrument (GRM-I) was used to collect data from 3 observations where nonrandomized participants served as their own controls. Results: The repeated measures analysis of variance (ANOVA) showed significant increases in participants’ scores on targeted variables between observations. Wilks’ lambda showed an overall significant effect. Test–retest reliability of the GRM-I was acceptable. Discussion: A construct validity approach better equipped researchers to test theoretical assumptions of the TOGR-based intervention to produce desired changes in targeted variables. Translation to Health Education Practice: The importance of Health Education interventions to influence variables supportive of behavioral change are well documented. The present study showed that the theoretical structure of the TOGR-based intervention held and had the intended influence on variables of grief and grief recovery.
Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features

Inferring implicit discourse relations in natural language text is the most difficult subtask in discourse parsing. Surface features achieve good performance, but they are not readily applicable to other languages without semantic lexicons. Previous neural models require parses, surface features, or a small label set to work well. Here, we propose neural network models that are based on feedforward and long-short term memory architecture without any surface features. To our surprise, our best configured feedforward architecture outperforms LSTM-based model in most cases despite thorough tuning. Under various fine-grained label sets and a cross-linguistic setting, our feedforward models perform consistently better or at least just as well as systems that require hand-crafted surface features. Our models present the first neural Chinese discourse parser in the style of Chinese Discourse Treebank, showing that our results hold cross-linguistically.
Predictors of sexual minority men’s sexual objectification of other men

Given the link between sexual objectification experiences and negative psychological and mental health outcomes for sexual minority men, it is important to explore which men are more likely to enact sexually objectifying behavior. We examined predictors of sexual minority men’s sexual objectification of other men (e.g., engaging in body evaluations, making unwanted sexual advances), including focusing on appearance, involvement in the lesbian, gay, bisexual, transgender and queer (LGBTQ) community, pornography use, and men’s gender role conflict among 450 gay and bisexual men. Our findings revealed that importance placed on appearance, involvement in the LGBTQ community, and pornography use and less restrictive affectionate behavior between men were uniquely related to sexually objectifying other men. In addition, older men were more likely than younger men to sexually objectify other men, and gay men were more likely than bisexual men to sexually objectify other men.
Energy Efficient and High Speed Error Control Scheme for Real Time Wireless Sensor Networks

Reliability and energy consumption are two of the main constraints in wireless sensor networks (WSNs). In this paper, a novel energy efficient and high speed error control scheme is introduced that is based on the Redundant Residue Number System (RRNS) allowing real-time application of WSNs. The proposed approach employs a new 3-moduli set { 2 2 n + 1 , 2 2 n + 1 - 1 , 2 n - 1 } and an efficient reverse converter which relies on the Mixed Radix Conversion (MRC) algorithm and achieves significant improvements both in terms of conversion delay and hardware design. In order to obtain error controllability, two-redundant-moduli set 2 3 n + 1 - 1 , 2 4 n + 1 - 1 is also added to the main 3-moduli set. The theoretical results backed by simulation tests confirm that the solution put forward in this paper outperforms popular error control methods for WSNs in terms of error controllability, energy efficiency, and reduction of end-to-end delay.
Distributed rate control and contention resolution in multi-cell IEEE 802.11 wlans with hidden terminals

In this paper, we study jointly the problems of rate control and contention resolution in multi-cell WLANs based on the IEEE 802.11 MAC protocol in the presence of hidden terminals. We adopt the network utility maximization (NUM) framework to formulate the problem as a nonlinear optimization problem. Unlike previous approaches that require maximal weight scheduling or target simple MAC protocols without hidden terminals, our problem formulation considers a realistic IEEE 802.11-based MAC layer model. The resulting formulation being non-convex, we propose a simple scheme to transform this non-convex problem into a convex one. We derive a simple distributed algorithm to solve the problem via Lagrangian dual decomposition. Our algorithm does not require exchanges of topology or spatial information about the mobile clients between APs. Practical issues like random backoff, carrier sensing, frame retransmission and optimal contention window (CW) setting are considered in our design. The effectiveness, accuracy and convergence speed of our analytically derived algorithm are verified via numerical experiments and simulations.
Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications

This paper aims to provide a comprehensive overview of the estimation methodology for the time-varying parameter structural vector autoregression (TVP-VAR) with stochastic volatility, in both methodology and empirical applications. The TVP-VAR model, combined with stochastic volatility, enables us to capture possible changes in underlying structure of the economy in a flexible and robust manner. In that respect, as shown in simulation exercises in the paper, the incorporation of stochastic volatility to the TVP estimation significantly improves estimation performance. The Markov chain Monte Carlo (MCMC) method is employed for the estimation of the TVP-VAR models with stochastic volatility. As an example of empirical application, the TVP-VAR model with stochastic volatility is estimated using the Japanese data with significant structural changes in dynamic relationship between the macroeconomic variables.
Point processes and the infinite symmetric group. Part I: The general formalism and the density function

We study a 2-parametric family of probability measures on an infinite-dimensional simplex (the Thoma simplex). These measures originate in harmonic analysis on the infinite symmetric group (S.Kerov, G.Olshanski and A.Vershik, Comptes Rendus Acad. Sci. Paris I 316 (1993), 773-778). Our approach is to interpret them as probability distributions on a space of point configurations, i.e., as certain point stochastic processes, and to find the correlation functions of these processes. In the present paper we relate the correlation functions to the solutions of certain multidimensional moment problems. Then we calculate the first correlation function which leads to a conclusion about the support of the initial measures. In the appendix, we discuss a parallel but more elementary theory related to the well-known Poisson-Dirichlet distribution. The higher correlation functions are explicitly calculated in the subsequent paper (A.Borodin, math.RT/9804087). In the third part (A.Borodin and G.Olshanski, math.RT/9804088) we discuss some applications and relationships with the random matrix theory. The goal of our work is to understand new phenomena in noncommutative harmonic analysis which arise when the irreducible representations depend on countably many continuous parameters.
Asymptotically optimal discrimination between multiple pure quantum states

We consider the decision problem between a finite number of states of a finite quantum system, when an arbitrary large number of copies of the system is available for measurements. We provide an upper bound on the asymptotic exponential decay of the averaged probability of rejecting the true state. It represents a generalized quantum Chernoff distance of a finite set of states. As our main result we prove that the bound is sharp in the case of pure states.
Genome-Wide Gene Expression Analysis Suggests an Important Role of Hypoxia in the Pathogenesis of Endemic Osteochondropathy Kashin-Beck Disease

Kashin-Beck Disease (KBD) is an endemic osteochondropathy, the pathogenesis of which remains unclear now. In this study, we compared gene expression profiles of articular cartilage derived respectively from KBD patients and normal controls. Total RNA were isolated, amplified, labeled and hybridized to Agilent human 1A 22 k whole genome microarray chip. qRT-PCR was conducted to validate our microarray data. We detected 57 up-regulated genes (ratios ≥2.0) and 24 down-regulated genes (ratios ≤0.5) in KBD cartilage. To further identify the key genes involved in the pathogenesis of KBD, Bayesian analysis of variance for microarrays(BAM) software was applied and identified 12 potential key genes with an average ratio 6.64, involved in apoptosis, metabolism, cytokine & growth factor and cytoskeleton & cell movement. Gene Set Enrichment Analysis (GSEA) software was used to identify differently expressed gene ontology categories and pathways. GSEA found that a set of apoptosis, hypoxia and mitochondrial function related gene ontology categories and pathways were significantly up-regulated in KBD compared to normal controls. Based on the results of this study, we suggest that chronic hypoxia-induced mitochondrial damage and apoptosis might play an important role in the pathogenesis of KBD. Our efforts may help to understand the pathogenesis of KBD as well as other osteoarthrosis with similar articular cartilage lesions.
Direct Identification of a Bacterial Manganese(II) Oxidase, the Multicopper Oxidase MnxG, from Spores of Several Different Marine Bacillus Species

ABSTRACT Microorganisms catalyze the formation of naturally occurring Mn oxides, but little is known about the biochemical mechanisms of this important biogeochemical process. We used tandem mass spectrometry to directly analyze the Mn(II)-oxidizing enzyme from marine Bacillus spores, identified as an Mn oxide band with an in-gel activity assay. Nine distinct peptides recovered from the Mn oxide band of two Bacillus species were unique to the multicopper oxidase MnxG, and one peptide was from the small hydrophobic protein MnxF. No other proteins were detected in the Mn oxide band, indicating that MnxG (or a MnxF/G complex) directly catalyzes biogenic Mn oxide formation. The Mn(II) oxidase was partially purified and found to be resistant to many proteases and active even at high concentrations of sodium dodecyl sulfate. Comparative analysis of the genes involved in Mn(II) oxidation from three diverse Bacillus species revealed a complement of conserved Cu-binding regions not present in well-characterized multicopper oxidases. Our results provide the first direct identification of a bacterial enzyme that catalyzes Mn(II) oxidation and suggest that MnxG catalyzes two sequential one-electron oxidations from Mn(II) to Mn(III) and from Mn(III) to Mn(IV), a novel type of reaction for a multicopper oxidase.