Miracle-dz/UniFAR-FTUs huggingface dataset:
Combinations of biomarkers predictive of later life mortality

A wide range of biomarkers, reflecting activity in a number of biological systems (e.g., neuroendocrine, immune, cardiovascular, and metabolic), have been found to prospectively predict disability, morbidity, and mortality outcomes in older adult populations. Levels of these biomarkers, singly or in combination, may serve as an early warning system of risk for future adverse health outcomes. In the current investigation, 13 biomarkers were examined as predictors of mortality occurrence over a 12-year period in a sample of men and women (n = 1,189) 70–79 years of age at enrollment into the study. Biomarkers examined in analyses included markers of neuroendocrine functioning (epinephrine, norepinephrine, cortisol, and dehydroepiandrosterone), immune activity (C-reactive protein, fibrinogen, IL-6, and albumin), cardiovascular functioning (systolic and diastolic blood pressure), and metabolic activity [high-density lipoprotein (HDL) cholesterol, total to HDL cholesterol ratio, and glycosylated hemoglobin]. Recursive partitioning techniques were used to identify a set of pathways, composed of combinations of different biomarkers, that were associated with a high-risk of mortality over the 12-year period. Of the 13 biomarkers examined, almost all entered into one or more high-risk pathways although combinations of neuroendocrine and immune markers appeared frequently in high-risk male pathways, and systolic blood pressure was present in combination with other biomarkers in all high-risk female pathways. These findings illustrate the utility of recursive partitioning techniques in identifying biomarker combinations predictive of mortal outcomes in older adults, as well as the multiplicity of biological pathways to mortality in elderly populations.
Identification of transcribed regions of Epstein-Barr virus DNA in Burkitt lymphoma-derived cells

RNA was extracted from the Burkitt lymphoma-derived cell line Raji and from Burkitt lymphoma tumor biopsies, isotope labeled in vitro by iodination with 125I, and hybridized to electrophoretically separated restriction endonuclease fragments of Epstein-Barr virus DNA on nitrocellulose membranes. The results indicated that only certain parts of the Epstein-Barr virus genome are represented as polyribosomal RNA in Raji cells, with a pronounced dominance of RNA sequences complementary to a 2.0 x 10(6)-dalton segment of Epstein-Barr virus DNA located close to the left end of the viral genome. A map of virus-specific polyribosomal RNA sequences was constructed, which indicated that a minimum of three regions of the Epstein-Barr virus genome are expressed in Raji cells. Total-cell RNA preparations from five Burkitt lymphoma biopsies contained RNA sequences homologous to the same regions of Epstein-Barr virus DNA as polyribosomal RNA from Raji cells, albeit at different relative proportions.
ICSV 14 Cairns • Australia 9-12 July , 2007 SUBOPTIMAL MULTICHANNEL ADAPTIVE ANC SYSTEM

The paper presents a new approach to real-world implementation of multichannel adaptive active noise control (ANC) systems. In the proposed approach the multichannel adaptive ANC system is decomposed into a constellation of single channel autonomous adaptive active noise controllers. They exchange models of electro-acoustic cross-interaction paths by broadcasting them over the local Ethernet network. These models are used to estimate signals used by each of single channel autonomous adaptive controllers in the constellation to compensate their mutual cross-interactions. The presented idea enables to implement the multichannel adaptive ANC system as the constellation of single channel autonomous adaptive active noise controllers that can be easily tuned to specific application needs.
Multi-period Stochastic Programming Model for State-Dependent Asset Allocation with CVaR

We need to solve a multi-period optimization problem to decide dynamic investment policies under various practical constraints. Hibiki (2001,2003,2006) develop the hybrid model where the conditional decision can be made in the simulation approach, and the investment proportions are expressed by the step function of the amount of wealth. In this paper, we introduce the idea of the state-dependent function into the hybrid model as well as Takaya and Hibiki (2012). Atrst, we dene the state-dependent function form for the multiple asset allocation problem with CVaR (Conditional Value at Risk) using the hybrid model, and we clarify that the function form is V-shaped and kinked at the level of the VaR. We propose the piecewise linear model with the V-shaped function to solve the multi-period and state-dependent asset allocation problem. We solve the three period problem forve assets, and compare the piecewise linear model with the hybrid model. We conduct the sensitivity analysis for the different risk averse coefficients and autocorrelations to examine the characteristics of the model.
Evolution mechanism of subsurface defect structure in particle micro-cutting iron–carbon alloy process

In order to explore the evolution mechanism of subsurface defect structure of iron–carbon alloy workpiece during abrasive flow machining, the molecular dynamics model of SiC particle micro-cutting iron–carbon alloys was established. The Common Neighbor Analysis and Dislocation Extraction Algorithm were applied to identify the crystal structure and lattice defects. The distribution and evolution of defect structure during micro-cutting were analyzed and discussed, and the removal mechanism of workpiece material during micro-cutting was revealed. The results show that dislocations, stacking faults, V-shaped dislocation loops, atomic clusters, and point defect structures were generated in the subsurface layer of the iron–carbon alloy workpiece during micro-cutting. Under the action of extrusion and friction of SiC particles, some atoms in the shear slip zone were largely displaced. The plastic deformation occurred on the workpiece and formed chips and machining surfaces. Some atoms extended into the interior of the workpiece material, resulting in subsurface defect structure. After the completion of particle micro-cutting, some defect structures of the subsurface layer disappeared, and some defect structures remained in the subsurface of the workpiece in a certain form, forming a subsurface defect layer.
Embolization of Sacral Dural Arteriovenous Fistulas: A Case Series and Literature Review

The authors report 2 cases of sacral dural arteriovenous fistula (AVF) presenting with gradual neurologic decline characterized by progressive lower extremity weakness and bowel and bladder incontinence. Spinal angiography demonstrated a sacral dural AVF with perimedullary vein engorgement and drainage extending to the level of the cervical spine in both cases. The fistulas were completely obliterated with n-BCA (n-butyl cyanoacrylate) embolic agent in one case, and with ethylene vinyl alcohol (Onyx) in the second, resulting in improvement of the symptoms in both patients. The unique features of this case report include the rare location of the fistula's origin, the necessity for complete spinal angiography, and the use of intraoperative monitoring in one case to guide embolization treatment.
RED CELLS , IRON , AND ERYTHROPOIESIS Multiple clinical forms of dehydrated hereditary stomatocytosis arise from mutations in PIEZO 1

Iolascon Bertil E. Glader, Stanley L. Schrier, Carlo Brugnara, Gordon W. Stewart, Jean Delaunay and Achille Narayan, Donatella Montanaro, Maria D'Armiento, Annalisa Vetro, Ivan Limongelli, Orsetta Zuffardi, Falco, Fara Vallefuoco, Maria Rosaria Esposito, David H. Vandorpe, Boris E. Shmukler, Rupa Immacolata Andolfo, Seth L. Alper, Lucia De Franceschi, Carla Auriemma, Roberta Russo, Luigia De PIEZO1 from mutations in Multiple clinical forms of dehydrated hereditary stomatocytosis arise
Uncommon BRAF mutations in the follicular variant of thyroid papillary carcinoma: New insights

Mutational analysis is reshaping the practice of fine‐needle aspiration cytology for the diagnosis of thyroid nodules. The v‐Raf murine sarcoma viral oncogene homolog B1 (BRAF) valine (V) to glutamic acid (E) substitution at codon 600 (BRAFV600E) is the most effective diagnostic/prognostic marker and is used mainly for papillary thyroid carcinomas (PTCs). Although BRAFV600E represents 95% of all BRAF mutations, uncommon BRAF mutations have been identified in thyroid carcinomas. For the current study, the authors evaluated morphologic (plump pink cells and sickle‐shaped nuclei) anti‐BRAFV600E antibody (VE1) immunocytochemical and molecular findings of BRAF mutations in PTCs and in the follicular variant of PTC (FVPC).
Na+/Ca2+-K+ Exchangers (NCKX):Functional Properties and Physiological Roles

The most numerous Ca2+ extrusion protein family, in terms of distinct genes, is the SLC24 gene family of Na+/Ca2+-K+ exchangers (NCKX). Five distinct gene products have been identified, mostly from specific animal excitable tissues such as neurons and smooth muscle, but also in places like skin pigment epithelium, signifying that NCKX proteins may play very specific roles, related to Ca2+ homeostasis, in these tissues. However, progress in elucidating the specific physiological roles of NCKX proteins has been slow in coming, largely because of challenges relating to isolating the activity of these proteins in their native tissues. Herein, we provide an overview of NCKX protein functional characteristics, highlighting properties that are unique and useful as distinguishing features over other Ca2+ handling mechanisms. We also present the first comprehensive review of the literature concerning physiological roles of NCKX proteins.
Tumor Necrosis Factor α: A Key Component of the Obesity-Diabetes Link

Recent data have suggested a key role for tumor necrosis factor (TNF)-α in the insulin resistance of obesity and non-insulin-dependent diabetes mellitus (NIDDM). TNF-α expression is elevated in the adipose tissue of multiple experimental models of obesity. Neutralization of TNF-α in one of these models improves insulin sensitivity by increasing the activity of the insulin receptor tyrosine kinase, specifically in muscle and fat tissues. On a cellular level, TNF-α is a potent inhibitor of the insulin-stimulated tyrosine phosphorylations on the β-chain of the insulin receptor and insulin receptor substrate-1, suggesting a defect at or near the tyrosine kinase activity of the insulin receptor. Given the clear link between obesity, insulin resistance, and diabetes, these results strongly suggest that TNF-α may play a crucial role in the systemic insulin resistance of NIDDM. This may allow for new treatments of disorders involving resistance to insulin.
Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods

Background Physical activity is associated with reduced risks of many chronic diseases. Data collected on physical activity in large epidemiological studies is often based on paper questionnaires. The validity of these questionnaires is debated, and more effective methods are needed. Objective This study evaluates repeated measures of physical activity level (PAL) and the feasibility of using a Java-based questionnaire downloaded onto cell phones for collection of such data. The data obtained were compared with reference estimates based on the doubly labeled water method and indirect calorimetry (PALref). Method Using a Java-based cell phone application, 22 women reported their physical activity based on two short questions answered daily over a 14-day period (PALcell). Results were compared with reference data obtained from the doubly labeled water method and indirect calorimetry (PALref). Results were also compared against physical activity levels assessed by two regular paper questionnaires completed by women at the end of the 14-day period (PALquest1 and PALquest2). PALcell, PALquest1, and PALquest2 were compared with PALref using the Bland and Altman procedure. Results The mean difference between PALcell and PALref was small (0.014) with narrow limits of agreement (2SD = 0.30). Compared with PALref, the mean difference was also small for PALquest1 and PALquest2 (0.004 and 0.07, respectively); however, the limits of agreement were wider (PALquest1, 2SD = 0.50 and PALquest2, 2SD = 0.90). The test for trend was statistically significant for PALquest1 (slope of regression line = 0.79, P = .04) as well as for PALquest2 (slope of regression line = 1.58, P < .001) when compared with PALref. Conclusion A Java-based physical activity questionnaire administered daily using cell phones produced PAL estimates that agreed well with PAL reference values. Furthermore, the limits of agreement between PAL obtained using cell phones, and reference values were narrower than for corresponding estimates obtained using paper questionnaires. Java-based questionnaires downloaded onto cell phones may be a feasible and cost-effective method of data collection for large-scale prospective studies of physical activity.
Study of MA protection technology of extending inheritance hierarchy trees in IDC network management

Mobile agents ( MA ) are autonomous software entities that are able to migrate across heterogeneous network execution environments. Mobility and autonomy compensate the deficiencies of distributed technology pretty well. Thus, mobile agents have wide application prospects. But the security issues with mobile agents have not been solved and are becoming obstacles for the application of mobile agents. Compared with host protection, the research on mobile agent protection is still at the beginning stage. Obfuscation is a technique in which the mobile code producer enforces the security policy by applying a behavior transformation to the code before sending it to run on different platforms. This paper presents a protection scheme of mobile agent in network management application, which combining method of extending inheritance hierarchy tree and time checking technology to protect the security of MA. The protection scheme is tested in actual network management environment, which can effectively identify the malicious host.
A semi‐implicit time‐stepping model for frictional compliant contact problems

In this paper, we formulate a semi‐implicit time‐stepping model for multibody mechanical systems with frictional, distributed compliant contacts. Employing a polyhedral pyramid model for the friction law and a distributed, linear, viscoelastic model for the contact, we obtain mixed linear complementarity formulations for the discrete‐time, compliant contact problem. We establish the existence and finite multiplicity of solutions, demonstrating that such solutions can be computed by Lemke's algorithm. In addition, we obtain limiting results of the model as the contact stiffness tends to infinity. The limit analysis elucidates the convergence of the dynamic models with compliance to the corresponding dynamic models with rigid contacts within the computational time‐stepping framework. Finally, we report numerical simulation results with an example of a planar mechanical system with a frictional contact that is modelled using a distributed, linear viscoelastic model and Coulomb's frictional law, verifying empirically that the solution trajectories converge to those obtained by the more traditional rigid‐body dynamic model. Copyright © 2004 John Wiley Sons, Ltd.
Detecting emotional and behavioural problems in paediatric clinics.

BACKGROUND Children with chronic illness have increased rates of mental health problems and psychological difficulties often present as physical conditions. This prevalence survey aims to determine whether children attending general paediatric out-patient clinics are at increased risk of suffering from emotional and behavioural disturbance and whether there is an unmet need for psychiatric liaison to paediatric clinics. METHODS Participants were 307 children aged 5-15 years attending a representative sample of paediatric out-patient clinics in one UK hospital. A national community sample of 10,438 children aged 5-15 years was used as a comparison group. Parental ratings of child behaviour were obtained using the Strengths and Difficulties Questionnaire (SDQ). Doctors rated the extent of any emotional difficulties using a modification of the SDQ 'impact supplement'. RESULTS Children attending paediatric out-patient clinics were more than twice as likely (OR = 2.3, 95% CI 1.7-3.1) to score in the abnormal range of the SDQ. Of the 60 (20%) children with a probable psychiatric disorder only 15 had received specialist help from Child Mental Health Services. There were no gender differences in the profile of difficulties with emotional symptoms being particularly evident in both boys (OR = 2.85, 95% CI 1.97-4.11) and girls (OR = 3.04, 95% CI 1.92-4.70). The risk of psychiatric disorder was highest among those children with brain disorders attending neurological clinics (OR = 5.8, 95% CI 2.5-11.3). Clinicians only identified emotional or behaviour problems in a quarter of those children with parent-rated disorder. CONCLUSION There is an increased prevalence of emotional and behavioural disturbance in children attending paediatric out-patient clinics. The SDQ could be added to routine paediatric assessments to aid appropriate referral of children with a possible psychiatric disorder to child mental health services.
Neuroscience-inspired recurrent network for object recognition

Deep neural networks inspired by the connections among biological neurons have been highly effective in the advancement of computer vision. Recent research into recurrent neural networks has taken account of forward as well as recurrent connections in a neural network architecture. In this study, we proposed a model that mirrors the architecture of the human ventral pathway with separate layers representing brain regions connected using long-range recurrent links. CIFAR-10/100 datasets were used to assess the performance of object recognition using the proposed model and the results were compared with those obtained using state-of-the-art methods. We demonstrated that the classification accuracy increased as the number of recurrences increased. Our results suggest that the proposed neuroscience-inspired model can facilitate object recognition in computer vision and may help to elucidate neurological mechanisms in the human brain.
Extending the Privacy Calculus: The Role of Psychological Ownership

Interconnected devices such as smartphones, smartwatches, and smartcars are rapidly becoming ubiquitous everyday companions. The unprecedented streams of data they emit open up vast business opportunities in various fields. Harnessing this potential, however, crucially relies on individuals’ willingness to disclose such emerging forms of personal data. It is against this backdrop that we extend prior research on individuals’ privacy calculus by illuminating the important role of psychological ownership in disclosure decision making. Employing a mixed methods design composed of three studies, we found individuals’ feelings of ownership towards their personal data to negatively affect their willingness to disclose these data – an effect that is mediated by individuals’ privacy concerns. Importantly, continuous trust building and tailored incentive design emerged as two promising managerial remedies available to firms seeking to alleviate the negative relationship between psychological ownership and disclosure intentions.
Gluten sensitivity in sporadic and hereditary cerebellar ataxia

Gluten sensitivity, with or without classical celiac disease symptoms and intestinal pathology, has been suggested as a potentially treatable cause of sporadic cerebellar ataxia. Here, we investigated the prevalence of abnormally high serum immunoglobulin A (IgA) and IgG anti‐gliadin antibody titers and typical human lymphocyte antigen (HLA) genotypes in 50 patients presenting with cerebellar ataxia who were tested for molecularly characterized hereditary ataxias. A high prevalence of gluten sensitivity was found in patients with sporadic (7/26; 27%) and autosomal dominant (9/24; 37%) ataxias, including patients with known ataxia genotypes indicating a hitherto unrecognized association between hereditary ataxias and gluten sensitivity. Further studies are needed to determine whether gluten sensitivity contributes to cerebellar degeneration in patients with hereditary cerebellar ataxia. Patients with hereditary ataxia (including asymptomatic patients with known ataxia genotype) should be considered for screening for gluten sensitivity and gluten‐free diet trials. Ann Neurol 2001;49:540–543
Restricted Boltzmann machine based algorithm for multi-objective optimization

Restricted Boltzmann machine is an energy-based stochastic neural network with unsupervised learning. This network consists of a layer of hidden unit and visible unit in an undirected generative network. In this paper, restricted Boltzmann machine is modeled as estimation of distribution algorithm in the context of multi-objective optimization. The probabilities of the joint configuration over the visible and hidden units in the network are trained until the distribution over the global state reach a certain degree of thermal equilibrium. Subsequently, the probabilistic model is constructed using the energy function of the network. Moreover, the proposed algorithm incorporates clustering in phenotype space and other canonical operators. The effects on the stability of the trained network and clustering in optimization are rigorously examined. Experimental investigations are conducted to analyze the performance of the algorithm in scalable problems with high numbers of objective functions and decision variables.
Single image super resolution infrared camera using carbon nanotube photodetector

In this work, high performance Carbon Nanotube (CNT) based Infrared (IR) photodetector was used in single pixel camera, which worked in room temperature without cryogenics cooling. The compressive sensing algorithm limited IR image in low resolution due to iterative computational method. In this paper, a novel model containing smooth and edge components was introduced to reconstruct high resolution IR image using single low resolution IR image. Compared to multiple scenes or video sequences super resolution method, the proposed algorithm is applicable on real-time camera or video system. The overall camera system can get high resolution IR image based on single CNT based IR photodetector, make IR camera better measurement accuracy and observe more details at long distance.
High Speed Parallel and Reconfigurable VLSI Implementation of 2-D DWT

An efficient high-speed VLSI implementation of the Discrete Wavelet Transform (DWT) based on hardwareefficient parallel FIR filters has been proposed in this paper. High speed 2-D DWT with low computational speed and high throughput with controlled increase of hardware cost is proposed. Fast algorithm based parallel FIR filter structures are designed to improve the processing speed and control the increase of the hardware cost at the same time. This paper also introduces two new FPGA based parallel implementation of DWT using convolution scheme. The first implementation uses parallel processing to increase the speed of the algorithm. The second architecture is a novel reconfigurable DWT architecture in terms of wavelet filters and wavelet decomposition structures. Our implementation support both Orthogonal and BiOrthogonal filters of variable length. Keywords— DWT, Very-Large-Scale Integration, Parallel FIR structures, Fastconvolution, Reconfigurable.