Miracle-dz/UniFAR-FTUs huggingface dataset:
A hierarchical parallel evolvable hardware based on network on chip

Evolvable Hardware (EHW) is inspired by natural evolution for the automatic design of hardware systems, based on Evolutionary Algorithm (EA). This paper proposed a novel optimization process of evolution system by utilizing a two-level hierarchical parallel algorithm and constructing EHW system into NoC infrastructure. The NoC is specially designed for high-speed reconfigurable hardware. Experimental results show that the usage of the hierarchical parallel algorithm can achieve 188.7% and 675.7% improvement in convergence speed against the global parallel one or the serial one; moreover, by using the NoC architecture, the Single Evolution Cycle Run Time can be at least two orders of magnitude faster than the state-of-the-art EHW systems when evolving the same scale of circuits.
Political Disaffection in Contemporary Democracies

Citizens of many democracies are becoming increasingly critical of basic political institutions and detached and disaffected from politics in general. This new comparative analysis of political disaffection focuses on major democracies throughout Latin America, Asia and Europe. Including comparative chapters as well as longitudinal case studies, this study brings together leading scholars to address three key areas of the current debate:
Analysis of the Relationship Between the Social-emotional Adaptation and Self Perception of 5-6Year Old Children and the Problem Solving Abilities of Their Mothers and Teachers

Abstract The purpose of this study is to analyze the relationship between children’s social adaptation and self-perception levels and the problem solving ability levels of mothers and teachers. This is a surveillance type of study. Sample group consists of 220 children, 220 mothers, and 22 teachers, a total of 462 people. In this study, Heppner’s Problem Solving Inventory was used to determine problem solving ability levels of teachers and mothers, the Marmara Social Emotional Adaptation Scale was used to determine social adaptation levels of children, and the Demoulin Self Perception Scale for Children was used to determine the self-perception levels of children. This study found that the problem solving ability of both mothers and teachers has positive impact on children’s social adaptation levels. It was also determined that social skills of children are affected by the social skills of adults, whom they take as models.
Personality Influences on the Self-Leadership Practices of Vocational College Academics

This study examined the relationship between personality and self-leadership in a sample of vocational college academics. Structural equation modelling was used to assess the factor structure of self-leadership and its relationship with personality. Contrary to prior research the best fitting model was a one-factor model for self-leadership. The results did support the distinctiveness of locus of control, general self-efficacy and conscientiousness from overall self-leadership, but not from the behaviour-focused, natural reward and constructive thought pattern dimensions. General self-efficacy and conscientiousness were found to be positive predictors of self-leadership practices. The practical and research implications of the results for self-leadership are discussed.
The provision of quality in a bilateral search market

We accomplish two goals. First, we provide a non-cooperative foundation for the use of the Nash bargaining solution in search markets. This finding should help to close the rift between the search and the matching-and-bargaining literature. Second, we establish that the diversity of quality offered (at an increasing price-quality ratio) in a decentralized market is an equilibrium phenomenon - even in the limit as search frictions disappear.
Microbial Metabolites of Omeprazole Activate Murine Aryl Hydrocarbon Receptor In Vitro and In Vivo

Omeprazole (OME), a proton pump inhibitor used to treat gastritis, is also an aryl hydrocarbon receptor (AhR) activator. OME activates AhR in human hepatocytes and hepatoma cells, but not in mice in vivo or in vitro. We recently discovered that this species-specific difference results from a difference in a few amino acids in the ligand-binding domain of AhR. However, OME activates both mouse and human AhRs in the yeast reporter assay system. Nevertheless, the cause of this discrepancy in OME responses remains unknown. Here, we report that CYP1A1 mRNA expression in mouse cecum was elevated after OME administration, although the mouse is regarded as an OME-unresponsive animal. Using the yeast reporter assay system with human and murine AhRs, we found AhR agonist–like activity in the cecal extracts of OME-treated mice. We speculated that OME metabolites produced by cecal bacteria might activate murine AhRs in vivo. In high-performance liquid chromatography (HPLC) analysis, AhR agonist–like activity of cecal bacterial culture and cecal extracts were detected at the same retention time. AhR agonist–like activity was also detected in the HPLC fractions of yeast culture media containing OME. This unknown substance could induce reporter gene expression via mouse and human AhRs. The agonist-like activity of the OME metabolite was reduced by concomitant α-naphthoflavone exposure. These results indicate that a yeast-generated OME metabolite elicited the response of mouse AhR to OME in the yeast system, and that bacterial OME metabolites may act as AhR ligands in human and mouse intestines.
Maternal uniparental disomy for chromosome 14 in a boy with a normal karyotype

We report on a boy with a maternal uniparental disomy for chromosome 14 (UPD(14)). At 7 years of age he was referred to us by the paediatrician because of symptoms of Prader-Willi syndrome (PWS). He showed short stature, obesity, mild developmental delay, cryptorchidism, and some mild dysmorphic features. The history further indicated intrauterine growth retardation at the end of the pregnancy. His mother was 44 years of age at the time of his birth. After birth he showed hypotonia with poor sucking, for which gavage feeding was needed. Motor development was delayed. After 1 year he became obese despite a normal appetite. Recurrent middle ear infections, a high pain threshold, and a great skill with jigsaw puzzles were reported. There were no behavioural problems or sleep disturbance. Chromosomal analysis was normal (46,XY). DNA analysis for Prader-Willi syndrome showed no abnormalities. Two years later he was re-examined because we thought his features fitted the PWS-like phenotype associated with maternal UPD(14). At that time precocious puberty was evident. DNA analysis showed maternal heterodisomy for chromosome 14. In all the previously described 11 cases with maternal UPD(14), a Robertsonian translocation involving chromosome 14 was detected cytogenetically before DNA analysis. This is the first report of diagnosis of maternal UPD(14) based on clinical features. This finding underlines the importance of DNA analysis for maternal UPD(14) in patients with a similar PWS-like phenotype even without previous identification of a Robertsonian translocation involving chromosome 14.
Neural precursor cells in the ischemic brain – integration, cellular crosstalk, and consequences for stroke recovery

After an ischemic stroke, neural precursor cells (NPCs) proliferate within major germinal niches of the brain. Endogenous NPCs subsequently migrate toward the ischemic lesion where they promote tissue remodeling and neural repair. Unfortunately, this restorative process is generally insufficient and thus unable to support a full recovery of lost neurological functions. Supported by solid experimental and preclinical data, the transplantation of exogenous NPCs has emerged as a potential tool for stroke treatment. Transplanted NPCs are thought to act mainly via trophic and immune modulatory effects, thereby complementing the restorative responses initially executed by the endogenous NPC population. Recent studies have attempted to elucidate how the therapeutic properties of transplanted NPCs vary depending on the route of transplantation. Systemic NPC delivery leads to potent immune modulatory actions, which prevent secondary neuronal degeneration, reduces glial scar formation, diminishes oxidative stress and stabilizes blood–brain barrier integrity. On the contrary, local stem cell delivery allows for the accumulation of large numbers of transplanted NPCs in the brain, thus achieving high levels of locally available tissue trophic factors, which may better induce a strong endogenous NPC proliferative response. Herein we describe the diverse capabilities of exogenous (systemically vs. locally transplanted) NPCs in enhancing the endogenous neurogenic response after stroke, and how the route of transplantation may affect migration, survival, bystander effects and integration of the cellular graft. It is the authors’ claim that understanding these aspects will be of pivotal importance in discerning how transplanted NPCs exert their therapeutic effects in stroke.
Decreased MicroRNA Is Involved in the Vascular Remodeling Abnormalities in Chronic Kidney Disease (CKD)

Patients with CKD have abnormal vascular remodeling that is a risk factor for cardiovascular disease. MicroRNAs (miRNAs) control mRNA expression intracellularly and are secreted into the circulation; three miRNAs (miR-125b, miR-145 and miR-155) are known to alter vascular smooth muscle cell (VSMC) proliferation and differentiation. We measured these vascular miRNAs in blood from 90 patients with CKD and found decreased circulating levels with progressive loss of eGFR by multivariate analyses. Expression of these vascular miRNAs miR-125b, miR-145, and miR-155 was decreased in the thoracic aorta in CKD rats compared to normal rats, with concordant changes in target genes of RUNX2, angiotensin II type I receptor (AT1R), and myocardin. Furthermore, the expression of miR-155 was negatively correlated with the quantity of calcification in the aorta, a process known to be preceded by vascular de-differentiation in these animals. We then examined the mechanisms of miRNA regulation in primary VSMC and found decreased expression of miR-125b, 145, and 155 in VSMC from rats with CKD compared to normal littermates but no alteration in DROSHA or DICER, indicating that the low levels of expression is not due to altered intracellular processing. Finally, overexpression of miR-155 in VSMC from CKD rats inhibited AT1R expression and decreased cellular proliferation supporting a direct effect of miR-155 on VSMC. In conclusion, we have found ex vivo and in vitro evidence for decreased expression of these vascular miRNA in CKD, suggesting that alterations in miRNAs may lead to the synthetic state of VSMC found in CKD. The decreased levels in the circulation may reflect decreased vascular release but more studies are needed to confirm this relationship.
Pacing-Induced Regional Differences in Adenosine Receptors mRNA Expression in a Swine Model of Dilated Cardiomyopathy

The adenosinergic system is essential in the mediation of intrinsic protection and myocardial resistance to insult; it may be considered a cardioprotective molecule and adenosine receptors (ARs) represent potential therapeutic targets in the setting of heart failure (HF). The aim of the study was to test whether differences exist between mRNA expression of ARs in the anterior left ventricle (LV) wall (pacing site: PS) compared to the infero septal wall (opposite region: OS) in an experimental model of dilated cardiomyopathy. Cardiac tissue was collected from LV PS and OS of adult male minipigs with pacing-induced HF (n = 10) and from a control group (C, n = 4). ARs and TNF–α mRNA expression was measured by Real Time-PCR and the results were normalized with the three most stably expressed genes (GAPDH, HPRT1, TBP). Immunohistochemistry analysis was also performed. After 3 weeks of pacing higher levels of expression for each analyzed AR were observed in PS except for A1R (A1R: C = 0.6±0.2, PS = 0.1±0.04, OS = 0.04±0.01, p<0.0001 C vs. PS and OS respectively; A2AR: C = 1.04±0.59, PS = 2.62±0.79, OS = 2.99±0.79; A2BR: C = 1.2±0.1, PS = 5.59±2.3, OS = 1.59±0.46; A3R: C = 0.76±0.18, PS = 8.40±3.38, OS = 4.40±0.83). Significant contractile impairment and myocardial hypoperfusion were observed at PS after three weeks of pacing as compared to OS. TNF-α mRNA expression resulted similar in PS (6.3±2.4) and in OS (5.9±2.7) although higher than in control group (3.4±1.5). ARs expression was mainly detected in cardiomyocytes. This study provided new information on ARs local changes in the setting of LV dysfunction and on the role of these receptors in relation to pacing-induced abnormalities of myocardial perfusion and contraction. These results suggest a possible therapeutic role of adenosine in patients with HF and dyssynchronous LV contraction.
' s personal copy A second order virtual node method for elliptic problems with interfaces and irregular domains

We present a second order accurate, geometrically flexible and easy to implement method for solving the variable coefficient Poisson equation with interfacial discontinuities or on irregular domains, handling both cases with the same approach. We discretize the equations using an embedded approach on a uniform Cartesian grid employing virtual nodes at interfaces and boundaries. A variational method is used to define numerical stencils near these special virtual nodes and a Lagrange multiplier approach is used to enforce jump conditions and Dirichlet boundary conditions. Our combination of these two aspects yields a symmetric positive definite discretization. In the general case, we obtain the standard 5point stencil away from the interface. For the specific case of interface problems with continuous coefficients, we present a discontinuity removal technique that admits use of the standard 5-point finite difference stencil everywhere in the domain. Numerical experiments indicate second order accuracy in L1. 2010 Elsevier Inc. All rights reserved.
Expanding Views on Response Processes Evidence for Validity

Maddox (this issue) examined how talk and gesture can provide response processes data that inform the ways in which interactions in testing situations influence test performance. There are many novel aspects to this focus paper, including his choice of data, his methodology, the context selected, and the focus on interactions. Specifically, he used video-ethnographic methods and a micro-analytic approach to examine interactions among the test taker, interviewer, and computer that impact assessment quality and test-taker engagement in the context of a large-scale computer-based assessment (i
The German Chronic Kidney Disease (GCKD) study: design and methods.

BACKGROUND Chronic kidney disease (CKD) is increasingly recognized as a global health problem. The conditions leading to CKD, the health impact of CKD and the prognosis differ markedly between affected individuals. In particular, renal failure and cardiovascular mortality are competing risks for CKD patients. Opportunities for targeted intervention are very limited so far and require an improved understanding of the natural course of CKD, of the risk factors associated with various clinical end points and co-morbidities as well as of the underlying pathogenic mechanisms. METHODS The German Chronic Kidney Disease (GCKD) study is a prospective observational national cohort study. It aims to enrol a total of 5000 patients with CKD of various aetiologies, who are under nephrological care, and to follow them for up to 10 years. At the time of enrolment, male and female patients have an estimated glomerular filtration rate (eGFR) of 30-60 mL/min×1.73 m2 or overt proteinuria in the presence of an eGFR>60 mL/min×1.73 m2. Standardized collection of biomaterials, including DNA, serum, plasma and urine will allow identification and validation of biomarkers associated with CKD, CKD progression and related complications using hypothesis-driven and hypothesis-free approaches. Patient recruitment and follow-up is organized through a network of academic nephrology centres collaborating with practising nephrologists throughout the country. CONCLUSIONS The GCKD study will establish one of the largest cohorts to date of CKD patients not requiring renal replacement therapy. Similarities in its design with other observational CKD studies, including cohorts that have already been established in the USA and Japan, will allow comparative and joint analyses to identify important ethnic and geographic differences and to enhance opportunities for identification of relevant risk factors and markers.
High Dose Chemotherapy and Autologous Stem Cell Transplantation in Non-Hodgkin's Lymphoma: an Eight-Year Experience

Autologous stem cell transplantation (ASCT) is commonly used in relapsed or refractory non-Hodgkin's lymphoma (NHL). Several trials report the role of ASCT for high risk patients. We evaluated the results and the prognostic factors influencing the therapeutic effects on the patients who were treated with high dose chemotherapy (HDC) and autologous peripheral stem cell transplantation. We analyzed the data of 40 cases with NHL who underwent ASCT after HDC. Twenty-four patients had high-risk disease, 12 cases sensitive relapse, and two cases resistant relapse or primary refractory each. The median age of patients was 34 years (range, 14-58 years). The median follow-up duration from transplantation was 16 months (range, 0.6-94 months). Estimated overall survival and progression-free survival at 5 years were 40% and 30%, respectively. Poor prognostic factors for survival included older age (≥ 45 years), poor performance status in all patient analysis, and a longer interval between first complete remission and transplantation in high risk patients. In high risk NHL patients, transplantation should be done early after first complete remission to overcome chemo-resistance.
Laying the Groundwork: Linking Internal Agenda-Setting Processes of Interest Groups to Their Role in Policy Making

Although scholarship has highlighted the role of stakeholders in policy making, less is known about the preparations they make that lay the groundwork for their lobbying activities. This article links ideas on collaborative governance with the study of agenda setting within interest groups. We outline an orthodox mode of agenda setting that anticipates groups possess a proactive policy mode, an institutionalized policy platform, and a pyramid-like agenda structure. Subsequently, we use this orthodox mode as a heuristic device for examining agenda structures and processes, combining survey data on the practices of groups in Australia with illustrative qualitative evidence.
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm

Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an attribute is that some of the machine learning algorithms perform poorly with continuous attribute and thus require front-end discretization of the input data. The paper describes a Fast Class-Attribute Interdependence Maximization (F-CAIM) algorithm that is an extension of the original CAIM algorithm. The algorithm works with supervised data by maximization of the classattribute interdependence. The F-CAIM’s improvement of the CAIM algorithm is significant shortening of the computational time required to discretize the data. It has all CAIM’s advantages like fully automated generation of possibly minimal number of discrete intervals, achieving the highest class-attribute interdependency when compared with other discretization algorithms, and improving performance of machine learning algorithms that are subsequently used on the discretized data. We present the results based on extensive benchmarking tests of F-CAIM, CAIM and six other state-of-the-art discretization algorithms. The tests use eight wellknown machine learning datasets consisting of continuous and mixed-mode attributes. They show that the F-CAIM’s speed is comparable to the speed of the simplest unsupervised algorithms and better than these of other supervised discretization algorithms.
Stochastic Partial Differential Equations Driven by Purely Spatial Noise

We study bilinear stochastic parabolic and elliptic PDEs driven by purely spatial white noise. Even the simplest equations driven by this noise often do not have a square-integrable solution and must be solved in special weighted spaces. We demonstrate that the Cameron–Martin version of the Wiener chaos decomposition is an effective tool to study both stationary and evolution equations driven by space-only noise. The paper presents results about solvability of such equations in weighted Wiener chaos spaces and studies the long-time behavior of the solutions of evolution equations with space-only noise.
SF 00515 IPPP / 08 / 61 DCPT / 08 / 122 SLAC-PUB-13379 MCNET / 08 / 07 How to calculate colourful cross sections efficiently

Different methods for the calculation of cross sections with many QCD particles are compared. To this end, CSW vertex rules, Berends-Giele recursion and Feynman-diagram based techniques are implemented as well as various methods for the treatment of colours and phase space integration. We find that typically there is only a small window of jet multiplicities, where the CSW technique has efficiencies comparable or better than both of the other two methods.
Topological Modeling and Classification of Mammographic Microcalcification Clusters

Goal: The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malignant or benign. In this paper, a novel method for the classification of microcalcification clusters in mammograms is proposed. Methods: The topology/connectivity of individual microcalcifications is analyzed within a cluster using multiscale morphology. This is distinct from existing approaches that tend to concentrate on the morphology of individual microcalcifications and/or global (statistical) cluster features. A set of microcalcification graphs are generated to represent the topological structure of microcalcification clusters at different scales. Subsequently, graph theoretical features are extracted, which constitute the topological feature space for modeling and classifying microcalcification clusters. k-nearest-neighbors-based classifiers are employed for classifying microcalcification clusters. Results: The validity of the proposed method is evaluated using two well-known digitized datasets (MIAS and DDSM) and a full-field digital dataset. High classification accuracies (up to 96%) and good ROC results (area under the ROC curve up to 0.96) are achieved. A full comparison with related publications is provided, which includes a direct comparison. Conclusion: The results indicate that the proposed approach is able to outperform the current state-of-the-art methods. Significance: This study shows that topology modeling is an important tool for microcalcification analysis not only because of the improved classification accuracy but also because the topological measures can be linked to clinical understanding.