Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Pathways Differentiate Hepatitis C Virus (HCV) Recurrence from Acute Cellular Rejection in HCV Liver Recipients

Acute cellular rejection (ACR) and hepatitis C virus (HCV) recurrence (HCVrec) are common complications after liver transplantation (LT) in HCV patients, who share common clinical and histological features, making a differential diagnosis difficult. Fifty-three liver allograft samples from unique HCV LT recipients were studied using microarrays, including a training set (n = 32) and a validation set (n = 19). Two no-HCV-ACR samples from LT recipients were also included. Probe set intensity values were obtained using the robust multiarray average method (RMA) method. Analysis of variance identified statistically differentially expressed genes (P ≤ 0.005). The limma package was used to fit the mixed-effects models using a restricted maximum likelihood procedure. The last absolute shrinkage and selection operator (LASSO) model was fit with HCVrec versus ACR as the dependent variable predicted. N-fold cross-validation was performed to provide an unbiased estimate of generalization error. A total of 179 probe sets were differentially expressed among groups, with 71 exclusive genes between HCVrec and HCV-ACR. No differences were found within ACR group (HCV-ACR vs. no-HCV-ACR). Supervised clustering analysis displayed two clearly independent groups, and no-HCV-ACR clustered within HCV-ACR. HCVrec-related genes were associated with a cytotoxic T-cell profile, and HCV-ACR-related genes were associated with the inflammatory response. The best-fitting LASSO model classifier accuracy, including 15 genes, has an accuracy of 100% in the training set. N-fold cross-validation accuracy was 78.1%, and sensitivity, specificity and positive and negative predictive values were 50.0%, 90.9%, 71.4% and 80.0%, respectively. Arginase type II (ARG2), ethylmalonic encephalopathy 1 (ETHE1), transmembrane protein 176A (TMEM176A) and TMEM176B genes were significantly confirmed in the validation set. A molecular signature capable of distinguishing HCVrec and ACR in HCV LT recipients was identified and validated.
Design and Application of Stable Predictive Controller Using Recurrent Wavelet Neural Networks

This paper presents a design methodology for stable predictive control of nonlinear discrete-time systems via recurrent wavelet neural networks (RWNNs). This type of controller has its simplicity in parallelism to conventional generalized predictive control design and efficiency to deal with complex nonlinear dynamics. A mathematical model using RWNN is constructed, and a learning algorithm adopting a recursive least squares is employed to identify the unknown parameters in the consequent part of the RWNN. The proposed control law is derived based on the minimization of a modified predictive performance criterion. Two theorems are presented for the conditions of the stability analysis and steady-state performance of the closed-loop systems. Numerical simulations reveal that the proposed control gives satisfactory tracking and disturbance rejection performances. Experimental results for position control of a positioning mechanism show the efficacy of the proposed method with setpoint changes.
An Evaluation of the Buffering Effects of Types and Sources of Support on Depressive Symptoms Among Natural Disaster–Exposed Chinese Adults

Objective: Social support is a key protective factor for people exposed to natural disasters. The effect of type and source of this support is not well documented. Investigations are needed to identify the specific modifying role of received and perceived support from family and friends on the association between disaster exposure and depressive symptoms. Methods: Face-to-face household interviews were conducted in 2014 with a random sample of 751 adults recruited from Yuexiu and Tianhe districts in Guangzhou, China. Sampling was accomplished through spatial epidemiological methods. Participants’ exposure to disaster, depressive symptoms, and social support networks was recorded on tablet devices. Multiple regression analysis was used to test the potential moderating role of social support on depression symptoms. Results: A total of 30.24% reported natural disaster exposure. Disaster exposure and received family support were significantly and positively related to depressive symptoms. In contrast, perceived family support moderated the relationship between disaster exposure and depressive symptoms. No association was found between support from friends and depressive severity. Conclusion: Perceived family support buffered the effect of disaster exposure in this sample, while received family support was associated with increased depression. Perceived family support is an important resource among those who experience disaster exposure and actual provision of family support may be harmful or miscarried. Natural disasters are becoming increasingly prevalent in Asia. According to the Economic and Social Commission for Asia and the Pacific (ESCAP, 2015a), a total of 119 disaster events, accounting for more than half of the total number of disasters occurred in the world, took place in Asia in 2014, affecting 79.6 million people, among whom 6050 died. The Chinese Mainland experienced several major natural disasters, including the earthquake in Wechuan, Sichuan Province, in 2008 and natural disasters affected more than 500,000 people causing 0.4% of GDP loss (roughly US$3 trillion; ESCAP, 2015b). The current study investigated the effect of social resources on mental health following natural disaster exposure.
High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU

Sparse general matrix-matrix multiplication (SpGEMM) is one of the key kernels of preconditioners such as algebraic multigrid method or graph algorithms. However, the performance of SpGEMM is quite low on modern processors due to random memory access to both input and output matrices. As well as the number and the pattern of non-zero elements in the output matrix, important for achieving locality, are unknown before the execution. Moreover, the state-of-the-art GPU implementations of SpGEMM requires large amounts of memory for temporary results, limiting the matrix size computable on fast GPU device memory. We propose a new fast SpGEMM algorithm requiring small amount of memory and achieving high performance. Calculation of the pattern and value in output matrix is optimized by using GPU's on-chip shared memory and a hash table. Additionally, our algorithm launches multiple kernels running concurrently to improve the utilization of GPU resources. The kernels for the calculation of each row of output matrix are chosen based on the number of non-zero elements. Performance evaluation using matrices from the Sparse Matrix Collection of University Florida on NVIDIA's Pascal generation GPU shows that our approach achieves speedups of up to x4.3 in single precision and x4.4 in double precision compared to existing SpGEMM libraries. Furthermore, the memory usage is reduced by 14.7% in single precision and 10.9% in double precision on average, allowing larger matrices to be computed.
Topology of the Membrane-Associated Hepatitis C Virus Protein NS4B

ABSTRACT Hepatitis C virus (HCV) belongs to the Hepacivirus genus in the Flaviviridae family. Among the least known viral proteins in this family is the nonstructural protein NS4B, which has been suggested to be a part of the replication complex. Hydrophobicity plots indicate a common profile among the NS4B proteins from different members of the Flaviviridae family, suggesting a common function. In order to gain a deeper understanding of the nature of HCV NS4B, we have determined localization and topology of this protein by using recombinant HCV NS4B constructs. The protein localized to the endoplasmic reticulum (ER), but also induced a pattern of cytoplasmic foci positive for markers of the ER. Computer predictions of the membrane topology of NS4B suggested that it has four transmembrane segments. The N and C termini were anticipated to be localized in the cytoplasm, because they are processed by the cytoplasmic NS3 protein. By introducing glycosylation sites at various positions in HCV NS4B, we show that the C terminus is cytoplasmic and the loop around residue 161 is lumenal as predicted. Surprisingly, the N-terminal tail was translocated into the lumen in a considerable fraction of the NS4B molecules, most likely by a posttranslational process. Interestingly, NS4B proteins of the yellow fever and dengue viruses also have their N termini located in the ER lumen due to an N-terminal signal peptide not found in NS4B of HCV. A shared topology achieved in two different ways supports the notion of a common function for NS4B in Flaviviridae.
Effect of entrepreneurship, business strategy and business networking toward competitive advantage of small and medium enterprises in Thailand

The purposes of this research were to study the entrepreneurship, business strategy, business networking which had effect toward the competitive advantage of small and medium business. It was survey research with population of 388 entrepreneurs from key provinces in Thailand. The research tool was questionnaire by applying descriptive statistics to analyse percentage, average, standard deviation and inferential statistics to analyse correlation of structural equation model with PLS programme. The outcomes of research revealed the opinion levels toward all factors were rated as high level. The correlation of structural equation model analysis revealed that entrepreneurship had highest effect toward business strategy and followed by business strategy had direct effect toward business networking with entrepreneurship and business strategy had both direct and indirect effect toward competitive advantage. Lastly, business networking had direct effect toward competitive advantage of small and medium enterprises.
Continued dialogue on the Oxford-style debate from the 15th Annual Congress of the International Neuropsychoanalysis Society, New York City, 2014

The first issue of last year’s volume of Neuropsychoanalysis (17–1) published the arguments of the four speakers who participated in the Oxford-style debate held during the 15th neuropsychoanalysis congress in New York City: Ariane Bazan and Richard Kessler for the motion, and Lisa Ouss and Nikolai Axmacher against the motion. The four speakers had two rounds in the actual debate, but they also had the chance to share their ideas in writing and carefully read one another’s a year and a half later. Time seems to have strengthened their original thoughts. Ariane Bazan goes back to the clinical work in psychoanalysis, to emphasize how neuroscientific terms can never replace psychoanalytic ones without the risk of it not being psychoanalysis anymore. Richard Kessler found more examples of a dialogue that does not lead to neuroscientific terms replacing psychoanalytic ones. And Nikolai Axmacher goes back to the roots of psychoanalytic terms in the neurobiology of the nineteenth century, suggesting that psychoanalytic concepts naturally go together with neuroscientific ones. The speakers reply to one another with the understanding that this debate is still open, and will probably remain so for many years to come, due to the complexity of the matter.
Dynamics among Traditional and Alternative Assets: Implications for Diversification and Risk

The authors examine the dynamic correlations and implications of various fi nancial asset classes, such as equities, bonds, ETFs, commodities, and real estate, in the United States from 1990 to 2013 and find that the correlations have varied across time. They detect no evidence of contagion but rather of herding behavior among these assets. The variation was more pronounced during market declines, but differed in extent across economic expansions and contractions. Finally, shocks from one asset class to another were not persistent, meaning that the assets were able to absorb the shocks and quickly return to normalcy. The implications for portfolio decisions are clear: Even well-diversified portfolios must be updated to reflect changing economic and financial environments, and past asset behavior does not imply similar future behavior.
Lost in time and space: temporal and spatial challenges facing older workers in a global economy from a career capital perspective

Abstract This paper develops a conceptual framework to enhance our understanding of the career challenges facing older workers in a global economy. A distinction between ‘high’ and ‘low’ career capital of older workers is made. This distinction is then used to highlight potential temporal and spatial challenges for older workers in their later life careers. We draw on empirical evidence from existing studies of older workers and their careers. The contribution of this paper to human resource management debates is threefold. Firstly, we contribute to debates in the HRM(Human Resource Management) literature about intelligent careers and career capital by distinguishing between high and low career capital to explain the polarisation of older workers’ careers. Secondly, we synthesise career capital issues with spatial and temporal aspects of international labour markets to conceptualise the key issues and challenges which create potential boundaries for older workers when navigating later life careers thereby contributing to ‘boundary-focused scholarship’ (Inkson, K., Gunz, H., Ganesh, S., & Roper, J. (2012). Boundaryless careers; Bringing back boundaries, Organization Studies, 33, 323–340). Finally, we develop a series of propositions to provide a basis for further research into the issues of space and time relevant to older ‘high’ and ‘low’ career capital workers, their careers and HRM.
Fine-grained graphics architectural simulation with Qsilver

Thanks in part to recent industry efforts to be more open with the details of their hardware, academic graphics architects are beginning to make significant inroads in what has traditionally been an industry dominated field. The recent literature published in such venues as Graphics Hardware, Eurographics, and SIGGRAPH serves as testimony to this fact. We have introduced Qsilver, our simple, flexible simulation framework for graphics architectures to the academic computer architecture community. Qsilver is one more step toward bridging the gap between industry’s state of the art in graphics processors and academia’s understanding and ability to make positive contributions to the field.
Monetary Policy and Business Cycles with Endogenous Entry and Product Variety [with Comments and Discussion]

This paper studies the role of endogenous producer entry and product creation for monetary policy analysis and business cycle dynamics in a general equilibrium model with imperfect price adjustment. Optimal monetary policy stabilizes product prices, but lets the consumer price index vary to accommodate changes in the number of available products. The free-entry condition links the price of equity (the value of products) with marginal cost and markups and hence with inflation dynamics. No-arbitrage between bonds and equity links the expected return on shares, and thus the financing of product creation, with the return on bonds, affected by monetary policy via interest rate setting. This new channel of monetary policy transmission through asset prices restores the Taylor Principle in the presence of capital accumulation (in the form of new production lines) and forward-looking interest rate setting, unlike in models with traditional physical capital. We also study the implications of endogenous variety for the New Keynesian Phillips curve and business cycle dynamics more generally, and we document the effects of technology, deregulation, and monetary policy shocks, as well as the second moment properties of our model, by means of numerical examples.
Evaluation of digital ternary stimuli for dynamic test of ΣΔ ADCs

Validation of an embedded test technique in terms of its expected yield loss and test escape metrics is a key step before it can be deployed in high-volume manufacturing. However, performing this validation at the design stage usually demands extensive computational resources, which may render electrical simulations infeasible. In this paper, we propose a digital test technique for dynamic test of ΣΔ ADCs based on a digital ternary stimulus together with an advanced simulation framework for its validation. The proposed simulation strategy relies on a combination of transistor-level simulations, behavioural simulations, and statistical tools. To show the feasibility of our approach, we use the proposed validation framework to compare the ternary stimulus with a digital bitstream stimulus, as well as with a standard high-resolution analog sine-wave stimulus.
Anti-dumping Initiations in Indian Manufacturing Industries

Anti-dumping as a new protectionist trade policy has evolved as the popular strategy choice for the trading nations. Since the Uruguay Round of World Trade Organization (WTO) (1994), India has been a prominent user of it. This article attempts to explore the possible factors that might have triggered off 90 percent cases of anti-dumping by five major Indian manufacturing industries over the period 1997–2011. We construct a balanced panel combining data on anti-dumping initiations from the ‘Global Antidumping Database’ with trade data from the Directorate General of Commercial Intelligence and Statistics (DGCI&S)-India and United Nations Comtrade database at the Indian Trade Classification (ITC) based on Harmonized System (HS) two-digit level. Having count data, the empirical model is estimated initially through a random-effects Poisson regression model followed by a negative binomial model. The number of anti-dumping initiations in India is dependent on the value of imports, the presence of a dominant industry lobby and the retaliatory behaviour by the affected domestic firms, among some others. In fact, we find that in determining the number of anti-dumping initiations the conventional economic and foreign affairs policies take a backseat!
Cingulate cortex anatomical abnormalities in children and adolescents with bipolar disorder.

OBJECTIVE In vivo imaging studies have suggested anatomical and functional abnormalities in the anterior cingulate in adults with mood disorders. This anatomical magnetic resonance imaging study examined the cingulate cortex in children and adolescents with bipolar disorder and matched healthy comparison subjects. METHOD Sixteen patients (mean age=15.5 years, SD=3.4) with DSM-IV bipolar disorder and 21 matched healthy comparison subjects (mean age=16.9 years, SD=3.8) were studied. Three-dimensional gradient echo imaging was performed (TR=25 msec, TE=5 msec, slice thickness=1.5 mm) in a 1.5-T GE Signa magnet. Cingulate volumes were compared by using analysis of covariance, with age and intracranial volume as covariates. RESULTS The patients with bipolar disorder had significantly smaller mean volumes relative to the healthy subjects in the left anterior cingulate (mean=2.49 cm(3 [SD=0.28] versus 3.60 cm3 [SD=0.12], respectively), left posterior cingulate (2.53 cm3 [SD=0.32] versus 2.89 cm3 [SD=0.09]), and right posterior cingulate (2.19 cm3 [SD=0.13] versus 2.28 cm3 [SD=0.08]). No significant between-group difference was found for the right anterior cingulate (2.64 cm3 [SD=0.21] versus 2.71 cm3 [SD=0.10]). CONCLUSIONS The findings indicate smaller cingulate volumes in children and adolescents with bipolar disorder, suggesting that such abnormalities may be present early in the illness course.
Fundamental Aspects of Reactive Oxygen Species, or What's the Matter with Oxygen?

ABSTRACT: A byproduct of normal aerobic metabolism is the generation of dangerously reactive intermediates of the reduction of O2. These include O2−, H2O2, and HO · and arise because of the predisposition of O2 for univalent reductions. These reactive oxygen species (ROS), and others that they can engender, threaten all cellular macromolecules, and defenses are needed. Among those known to date are: superoxide dismutases to convert O2− into O2+ H2O2; catalases to dismute H2O2 into O2+ H2O; and peroxidases to reduce H2O2 into 2H2O) and to reduce ROOH into ROH and H2O. These defenses are aided by enzymes that repair or recycle oxidatively damaged nucleic acids and proteins. A role for such oxidative damage in aging and neurodegenerative diseases is well supported.
Derivatives Pricing Under a New Macro-Financial Square-Root Process for the Term Structure of Interest Rates

This paper develops a new macro-financial continuous-time model for the term structure of interest rates assuming that the instantaneous interest rate converges to a certain long-term mean level that depends on the business cycle and that the interest rate volatility depends on the interest rate level. In short, both the mean reversion level and the interest rate volatility are modeled by the physic equation of harmonic waves. Under these assumptions, we compute closed-form expressions for the prices of different fixed income and interest rate derivatives and for relevant risk management measures.
Detection of Human Papillomavirus Among Women in Laos: Feasibility of Using Filter Paper Card and Prevalence of High-Risk Types

Background Persistent infection with high-risk (HR) human papillomavirus (HPV) is a well-recognized cause of cervical cancer, but little is known about the situation in Laos. The aims of the study were to determine the prevalence of HR-HPV among Lao women and to evaluate the use of a filter paper card (FTA Elute Micro Card) for collection of cervical cells in the humid tropical climate. Methods This is a cross-sectional study including 1922 women from 3 provinces in Laos. During a gynecological examination, cervical cells were collected and applied to the FTA card followed by HPV typing using a real-time polymerase chain reaction (PCR)-based assay. Results Overall, 213 of the 1922 women were positive for HR-HPV (11%). The most common type was the group HPV33/52/58 (3%), followed by the single type 16 (2%) and the group 18/45 (1%), respectively. Only 11 cards (0.6%) did not contain a sufficient amount of genomic DNA for polymerase chain reaction–based analysis. Conclusions The prevalence of HR-HPV infections in Laos is similar to other Asian countries, and 40% of the women with an HR-HPV infection will be target of the present HPV vaccines. The FTA card is suitable for collection of cervical cells for HR-HPV typing in tropical conditions. This information is important for planning and establishing primary and secondary prevention of cervical cancer in Laos.
Assessing Export Competitiveness Through the Lens of Value Added

Extensive changes in the organization of world trade over the last two decades have renewed concerns about countries’ ability to compete in export markets. The impact could be especially large in industries that participate in global value chains (GVCs). This study assesses the recent export performance of 56 countries in five industries associated with GVCs using an index of normalised revealed comparative advantage (RCA) that can be compared across industries and countries and new data on the domestic value added in exports from the OECD's Trade in Value-added database. For a number of the GVC industries, countries identified as the most competitive based on gross exports are often found to be less competitive when evaluated in terms of domestic value added. Business services are an important exception; several countries appear more competitive on a value-added basis than based on conventional measures of gross exports. Despite concerns about hollowing out, a number of major industrial countries remain highly competitive in one or more GVC industries, even from the perspective of domestic value added. A value-added approach to RCA provides insights that are not apparent from an exclusive focus on gross exports.